From 5419c5032984533632365375fd8857fc0c952f75 Mon Sep 17 00:00:00 2001 From: Camillo Bruni Date: Fri, 13 Nov 2026 00:33:32 +0000 Subject: [PATCH 1/6] [suites-experimental] Add Tools-GPS-Tracks workload Introduce an experimental GPS activity track analyzer workload to cover binary and XML telemetry parsing, IndexedDB persistence, geospatial map rendering, and multi-track physiological charting in Speedometer. --- .eslintignore | 2 + .prettierignore | 2 + suites-experimental/suites.mjs | 68 + .../tools-gps-tracks/.gitignore | 1 + .../tools-gps-tracks/.prettierignore | 3 + .../tools-gps-tracks/.prettierrc | 7 + suites-experimental/tools-gps-tracks/LICENSE | 28 + .../tools-gps-tracks/README.md | 28 + suites-experimental/tools-gps-tracks/build.js | 224 ++ .../tools-gps-tracks/dist/LICENSE | 158 + .../dist/benchmark-override.mjs | 2 + .../dist/benchmark-override.mjs.map | 7 + .../tools-gps-tracks/dist/fit-file-parser.mjs | 15 + .../dist/fit-file-parser.mjs.map | 7 + .../tools-gps-tracks/dist/index.html | 551 +++ .../dist/material_symbols_rounded.woff2 | Bin 0 -> 79944 bytes .../tools-gps-tracks/dist/resources.txt | 20 + .../tools-gps-tracks/dist/styles.css | 2 + .../tools-gps-tracks/dist/styles.css.map | 7 + .../test-data/activity_1_alps_stage.gpx.gz | Bin 0 -> 42206 bytes .../test-data/activity_2_forest_mtb.gpx.gz | Bin 0 -> 31377 bytes .../test-data/activity_3_road_race.tcx.gz | Bin 0 -> 39528 bytes .../test-data/activity_4_intervals.tcx.gz | Bin 0 -> 34171 bytes .../test-data/activity_5_grand_tour.fit.gz | Bin 0 -> 36301 bytes .../test-data/activity_6_weekend_ride.fit.gz | Bin 0 -> 27953 bytes .../dist/test-data/manifest.json | 8 + .../dist/tools-gps-tracks.mjs | 903 +++++ .../dist/tools-gps-tracks.mjs.map | 7 + .../tools-gps-tracks/dist/uplot.mjs | 4 + .../tools-gps-tracks/dist/uplot.mjs.map | 7 + .../material_symbols_rounded.woff2 | Bin 0 -> 79944 bytes .../tools-gps-tracks/package-lock.json | 560 +++ .../tools-gps-tracks/package.json | 27 + .../scripts/generate-test-data.mjs | 453 +++ .../tools-gps-tracks/src/app.ts | 2179 +++++++++++ .../src/benchmark-override.ts | 75 + .../tools-gps-tracks/src/charts.ts | 3376 +++++++++++++++++ .../tools-gps-tracks/src/css/styles.css | 2403 ++++++++++++ .../tools-gps-tracks/src/css/uPlot.min.css | 1 + .../tools-gps-tracks/src/index.html | 551 +++ .../tools-gps-tracks/src/map.ts | 105 + .../tools-gps-tracks/src/metrics.ts | 181 + .../tools-gps-tracks/src/parsers.ts | 1453 +++++++ .../tools-gps-tracks/src/sports.ts | 25 + .../tools-gps-tracks/src/storage.ts | 149 + .../src/tabs/accumulated_progress.ts | 166 + .../tools-gps-tracks/src/tabs/combined.ts | 825 ++++ .../tools-gps-tracks/src/tabs/courses.ts | 621 +++ .../tools-gps-tracks/src/tabs/details.ts | 550 +++ .../tools-gps-tracks/src/tabs/insights.ts | 819 ++++ .../tools-gps-tracks/src/tabs/progress.ts | 1652 ++++++++ .../tools-gps-tracks/src/url-state.ts | 202 + .../tools-gps-tracks/src/utils.ts | 139 + .../tools-gps-tracks/src/vendor-fit.ts | 6 + .../tools-gps-tracks/src/zones.ts | 60 + .../test-data/activity_1_alps_stage.gpx.gz | Bin 0 -> 42206 bytes .../test-data/activity_2_forest_mtb.gpx.gz | Bin 0 -> 31377 bytes .../test-data/activity_3_road_race.tcx.gz | Bin 0 -> 39528 bytes .../test-data/activity_4_intervals.tcx.gz | Bin 0 -> 34171 bytes .../test-data/activity_5_grand_tour.fit.gz | Bin 0 -> 36301 bytes .../test-data/activity_6_weekend_ride.fit.gz | Bin 0 -> 27953 bytes .../tools-gps-tracks/test-data/manifest.json | 8 + .../tools-gps-tracks/tsconfig.json | 17 + 63 files changed, 18664 insertions(+) create mode 100644 suites-experimental/tools-gps-tracks/.gitignore create mode 100644 suites-experimental/tools-gps-tracks/.prettierignore create mode 100644 suites-experimental/tools-gps-tracks/.prettierrc create mode 100644 suites-experimental/tools-gps-tracks/LICENSE create mode 100644 suites-experimental/tools-gps-tracks/README.md create mode 100644 suites-experimental/tools-gps-tracks/build.js create mode 100644 suites-experimental/tools-gps-tracks/dist/LICENSE create mode 100644 suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs create mode 100644 suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs.map create mode 100644 suites-experimental/tools-gps-tracks/dist/fit-file-parser.mjs create mode 100644 suites-experimental/tools-gps-tracks/dist/fit-file-parser.mjs.map create mode 100644 suites-experimental/tools-gps-tracks/dist/index.html create mode 100644 suites-experimental/tools-gps-tracks/dist/material_symbols_rounded.woff2 create mode 100644 suites-experimental/tools-gps-tracks/dist/resources.txt create mode 100644 suites-experimental/tools-gps-tracks/dist/styles.css create mode 100644 suites-experimental/tools-gps-tracks/dist/styles.css.map create mode 100644 suites-experimental/tools-gps-tracks/dist/test-data/activity_1_alps_stage.gpx.gz create mode 100644 suites-experimental/tools-gps-tracks/dist/test-data/activity_2_forest_mtb.gpx.gz create mode 100644 suites-experimental/tools-gps-tracks/dist/test-data/activity_3_road_race.tcx.gz create mode 100644 suites-experimental/tools-gps-tracks/dist/test-data/activity_4_intervals.tcx.gz create mode 100644 suites-experimental/tools-gps-tracks/dist/test-data/activity_5_grand_tour.fit.gz create mode 100644 suites-experimental/tools-gps-tracks/dist/test-data/activity_6_weekend_ride.fit.gz create mode 100644 suites-experimental/tools-gps-tracks/dist/test-data/manifest.json create mode 100644 suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs create mode 100644 suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map create mode 100644 suites-experimental/tools-gps-tracks/dist/uplot.mjs create mode 100644 suites-experimental/tools-gps-tracks/dist/uplot.mjs.map create mode 100644 suites-experimental/tools-gps-tracks/material_symbols_rounded.woff2 create mode 100644 suites-experimental/tools-gps-tracks/package-lock.json create mode 100644 suites-experimental/tools-gps-tracks/package.json create mode 100644 suites-experimental/tools-gps-tracks/scripts/generate-test-data.mjs create mode 100644 suites-experimental/tools-gps-tracks/src/app.ts create mode 100644 suites-experimental/tools-gps-tracks/src/benchmark-override.ts create mode 100644 suites-experimental/tools-gps-tracks/src/charts.ts create mode 100644 suites-experimental/tools-gps-tracks/src/css/styles.css create mode 100644 suites-experimental/tools-gps-tracks/src/css/uPlot.min.css create mode 100644 suites-experimental/tools-gps-tracks/src/index.html create mode 100644 suites-experimental/tools-gps-tracks/src/map.ts create mode 100644 suites-experimental/tools-gps-tracks/src/metrics.ts create mode 100644 suites-experimental/tools-gps-tracks/src/parsers.ts create mode 100644 suites-experimental/tools-gps-tracks/src/sports.ts create mode 100644 suites-experimental/tools-gps-tracks/src/storage.ts create mode 100644 suites-experimental/tools-gps-tracks/src/tabs/accumulated_progress.ts create mode 100644 suites-experimental/tools-gps-tracks/src/tabs/combined.ts create mode 100644 suites-experimental/tools-gps-tracks/src/tabs/courses.ts create mode 100644 suites-experimental/tools-gps-tracks/src/tabs/details.ts create mode 100644 suites-experimental/tools-gps-tracks/src/tabs/insights.ts create mode 100644 suites-experimental/tools-gps-tracks/src/tabs/progress.ts create mode 100644 suites-experimental/tools-gps-tracks/src/url-state.ts create mode 100644 suites-experimental/tools-gps-tracks/src/utils.ts create mode 100644 suites-experimental/tools-gps-tracks/src/vendor-fit.ts create mode 100644 suites-experimental/tools-gps-tracks/src/zones.ts create mode 100644 suites-experimental/tools-gps-tracks/test-data/activity_1_alps_stage.gpx.gz create mode 100644 suites-experimental/tools-gps-tracks/test-data/activity_2_forest_mtb.gpx.gz create mode 100644 suites-experimental/tools-gps-tracks/test-data/activity_3_road_race.tcx.gz create mode 100644 suites-experimental/tools-gps-tracks/test-data/activity_4_intervals.tcx.gz create mode 100644 suites-experimental/tools-gps-tracks/test-data/activity_5_grand_tour.fit.gz create mode 100644 suites-experimental/tools-gps-tracks/test-data/activity_6_weekend_ride.fit.gz create mode 100644 suites-experimental/tools-gps-tracks/test-data/manifest.json create mode 100644 suites-experimental/tools-gps-tracks/tsconfig.json diff --git a/.eslintignore b/.eslintignore index e57be2186a..0af4d59c62 100644 --- a/.eslintignore +++ b/.eslintignore @@ -48,3 +48,5 @@ package-lock.json /suites/react-stockcharts /suites-experimental/responsive-design/build-dev/ +/suites-experimental/tools-gps-tracks +/suites-experimental/tools-gps-tracks/** diff --git a/.prettierignore b/.prettierignore index 0b1b6168e3..9f52acec83 100644 --- a/.prettierignore +++ b/.prettierignore @@ -48,3 +48,5 @@ package-lock.json /suites/react-stockcharts /suites-experimental/responsive-design/build-dev/ /suites-experimental/responsive-design/**/*.generated.css +/suites-experimental/tools-gps-tracks +/suites-experimental/tools-gps-tracks/** diff --git a/suites-experimental/suites.mjs b/suites-experimental/suites.mjs index 2e4496c798..89fa57d3dd 100644 --- a/suites-experimental/suites.mjs +++ b/suites-experimental/suites.mjs @@ -304,4 +304,72 @@ export const ExperimentalSuites = freezeSuites([ }), ], }, + { + name: "Tools-GPS-Tracks", + url: "suites-experimental/tools-gps-tracks/dist/index.html", + resources: "suites-experimental/tools-gps-tracks/dist/resources.txt", + tags: ["experimental", "charts", "gpx"], + type: "async", + async prepare(page) { + await page.waitForElement("#app-is-ready"); + }, + tests: [ + new BenchmarkTestStep("LoadAndParseFiles", async (page) => { + const complete = new Promise((resolve) => { + page.addEventListener("load-and-parse-complete", resolve, { once: true }); + }); + page.querySelector("#btn-step-load").click(); + await complete; + page.layout(); + }), + new BenchmarkTestStep("DisplayAnalysisMetrics", async (page) => { + const complete = new Promise((resolve) => { + page.addEventListener("analysis-complete", resolve, { once: true }); + }); + page.querySelector("#btn-step-analysis").click(); + await complete; + page.layout(); + }), + new BenchmarkTestStep("DisplayInsights", async (page) => { + const complete = new Promise((resolve) => { + page.addEventListener("insights-complete", resolve, { once: true }); + }); + page.querySelector("#btn-step-insights").click(); + await complete; + page.layout(); + }), + new BenchmarkTestStep("DisplayDetails", async (page) => { + const complete = new Promise((resolve) => { + page.addEventListener("details-complete", resolve, { once: true }); + }); + page.querySelector("#btn-step-details").click(); + await complete; + page.layout(); + }), + new BenchmarkTestStep("DisplayAggregateMetrics", async (page) => { + const complete = new Promise((resolve) => { + page.addEventListener("aggregate-complete", resolve, { once: true }); + }); + page.querySelector("#btn-step-aggregate").click(); + await complete; + page.layout(); + }), + new BenchmarkTestStep("DisplayEvolutionMetrics", async (page) => { + const complete = new Promise((resolve) => { + page.addEventListener("evolution-complete", resolve, { once: true }); + }); + page.querySelector("#btn-step-evolution").click(); + await complete; + page.layout(); + }), + new BenchmarkTestStep("DisplayCourses", async (page) => { + const complete = new Promise((resolve) => { + page.addEventListener("courses-complete", resolve, { once: true }); + }); + page.querySelector("#btn-step-courses").click(); + await complete; + page.layout(); + }), + ], + }, ]); diff --git a/suites-experimental/tools-gps-tracks/.gitignore b/suites-experimental/tools-gps-tracks/.gitignore new file mode 100644 index 0000000000..3c3629e647 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/.gitignore @@ -0,0 +1 @@ +node_modules diff --git a/suites-experimental/tools-gps-tracks/.prettierignore b/suites-experimental/tools-gps-tracks/.prettierignore new file mode 100644 index 0000000000..f4464f0263 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/.prettierignore @@ -0,0 +1,3 @@ +dist/ +test-data/ +src/css/uPlot.min.css diff --git a/suites-experimental/tools-gps-tracks/.prettierrc b/suites-experimental/tools-gps-tracks/.prettierrc new file mode 100644 index 0000000000..ca8527e0dd --- /dev/null +++ b/suites-experimental/tools-gps-tracks/.prettierrc @@ -0,0 +1,7 @@ +{ + "semi": true, + "trailingComma": "all", + "singleQuote": true, + "printWidth": 100, + "tabWidth": 2 +} diff --git a/suites-experimental/tools-gps-tracks/LICENSE b/suites-experimental/tools-gps-tracks/LICENSE new file mode 100644 index 0000000000..74eccfcc94 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/LICENSE @@ -0,0 +1,28 @@ +BSD 3-Clause License + +Copyright (c) 2026, Camillo Bruni + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/suites-experimental/tools-gps-tracks/README.md b/suites-experimental/tools-gps-tracks/README.md new file mode 100644 index 0000000000..ca1dad4d18 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/README.md @@ -0,0 +1,28 @@ +# Tools-GPS-Tracks Workload + +## Description + +This workload simulates an offline-capable GPS track analyzer and activity dashboard (`weg-strasse`). It parses binary and XML activity tracks (`.fit`, `.gpx`, `.tcx`, `.kml`) compressed with `gzip`, persists activity data in IndexedDB, renders interactive Leaflet vector maps with Canvas polylines, and computes physiological and geospatial analytics plotted with `uPlot`. + +## Benchmark Steps + +1. **LoadAndParseFiles**: Fetches, decompresses (`DecompressionStream`), and parses 6 synthetic GPS activity tracks (`.gpx.gz`, `.tcx.gz`, `.fit.gz`), computes track statistics and power/heart-rate duration curves, persists tracks in IndexedDB, and renders the map and metric charts. +2. **DisplayAnalysisMetrics**: Simulates brush selection and hover interactions across telemetry charts, updating track statistics and map segments over the selected range. +3. **DisplayInsights**: Renders the Insights view with power and heart-rate duration curves, physiological training zones, aerobic decoupling / W' balance analytics, and kilometer split tables. +4. **DisplayDetails**: Renders the Details view with device/sensor metadata, lap and gear-shift breakdowns, and editing interactions. +5. **DisplayAggregateMetrics**: Renders the Aggregate view, computing multi-track sliding-window cross-correlations, comparative telemetry tables, and overlaid multi-track charts. +6. **DisplayEvolutionMetrics**: Renders the Evolution and Accumulated views, modeling acute/chronic training load (ATL/CTL/TSB) and plotting multi-metric progression and cumulative timelines. +7. **DisplayCourses**: Creates a multi-waypoint course, matches candidate tracks passing through geospatial gates, and renders course segment leaderboards and corridor comparisons. + +## Requirements + +Please always compile inside the latest `node` LTS requirement (`>=24.0.0`). + +## Building + +Run `npm install` inside `/suites-experimental/tools-gps-tracks`, then run `npm run build` to typecheck, generate deterministic compressed test tracks in `test-data/`, bundle the application and sourcemaps into `dist/`, and generate `dist/resources.txt`. + +## Develop & Run Locally + +1. Run `npm install` inside `/suites-experimental/tools-gps-tracks`. +2. Run `npm run dev` to watch, rebuild on source changes, and start a local development server for `dist/`. diff --git a/suites-experimental/tools-gps-tracks/build.js b/suites-experimental/tools-gps-tracks/build.js new file mode 100644 index 0000000000..2e7df211f9 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/build.js @@ -0,0 +1,224 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +import * as esbuild from 'esbuild'; +import { readFile, writeFile, mkdir, copyFile, cp, rm, readdir } from 'fs/promises'; +import path from 'path'; +import { execSync } from 'child_process'; +import { generateResourcesFile } from '../../resources/shared/generate-resources.mjs'; + +const args = process.argv.slice(2); +const watch = args.includes('--watch'); + +const baseConfig = { + bundle: true, + minify: !watch, + sourcemap: true, + format: 'esm', + target: ['es2020'], + outdir: 'dist', + assetNames: '[name]', + outExtension: { '.js': '.mjs' }, + loader: { + '.woff2': 'file', + '.png': 'file', + '.svg': 'file', + }, +}; + +async function copyStaticAssets() { + const assets = [ + { src: 'src/index.html', dest: 'index.html' }, + { src: 'material_symbols_rounded.woff2', dest: 'material_symbols_rounded.woff2' }, + ]; + await mkdir('dist', { recursive: true }); + + for (const asset of assets) { + try { + await copyFile(asset.src, path.join('dist', asset.dest)); + console.log(`Copied ${asset.src} to dist/${asset.dest}`); + } catch (e) { + console.warn(`Could not copy ${asset.src}: ${e.message}`); + } + } + + try { + await cp('test-data', path.join('dist', 'test-data'), { recursive: true }); + console.log('Copied test-data to dist/test-data'); + } catch (e) { + console.warn(`Could not copy test-data: ${e.message}`); + } +} + +async function collectLicenses() { + const deps = ['uplot', 'fit-file-parser']; + let output = ''; + + try { + const rootLicense = await readFile('LICENSE', 'utf-8'); + output += `TOOLS-GPS-TRACKS LICENSE\n===========\n\n${rootLicense}\n\n`; + } catch (e) {} + + for (const dep of deps) { + try { + const licensePath = path.join('node_modules', dep, 'LICENSE'); + const content = await readFile(licensePath, 'utf-8'); + output += `\n\n------------------------------------------------------------------------------\n${dep.toUpperCase()} LICENSE\n------------------------------------------------------------------------------\n\n${content}\n`; + } catch (e) { + console.warn(`Could not find license for ${dep}`); + } + } + + output += `\n\n------------------------------------------------------------------------------\nBUNDLED FONT ASSETS LICENSE (MATERIAL SYMBOLS)\n------------------------------------------------------------------------------\n\n`; + output += `Assets: material_symbols_rounded.woff2 (and hashed build assets)\n`; + output += `Copyright Google LLC\n\n`; + output += `Licensed under the Apache License, Version 2.0 (the "License");\n`; + output += `you may not use these assets except in compliance with the License.\n`; + output += `You may obtain a copy of the License at\n\n`; + output += ` http://www.apache.org/licenses/LICENSE-2.0\n\n`; + output += `Unless required by applicable law or agreed to in writing, software\n`; + output += `distributed under the License is distributed on an "AS IS" BASIS,\n`; + output += `WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n`; + output += `See the License for the specific language governing permissions and\n`; + output += `limitations under the License.\n\n`; + output += `MODIFICATION AND SUBSETTING NOTICE (Apache License 2.0, Section 4(b)):\n`; + output += `These font binaries are subsetted and modified derivatives of the original\n`; + output += `Google Material Symbols font files, containing only the\n`; + output += `specific glyphs and icons utilized by the Tools-GPS-Tracks benchmark workload.\n`; + + try { + const testDataDir = path.join('dist', 'test-data'); + let testFiles = []; + try { + const manifestPath = path.join(testDataDir, 'manifest.json'); + const manifestData = JSON.parse(await readFile(manifestPath, 'utf-8')); + testFiles = Array.isArray(manifestData) ? [...manifestData, 'manifest.json'] : []; + } catch (e) { + testFiles = await readdir(testDataDir); + } + + output += `\n\n------------------------------------------------------------------------------\nBUNDLED GPS TEST TRACKS LICENSE (dist/test-data/*)\n------------------------------------------------------------------------------\n\n`; + output += `Bundled synthetic GPS test track files:\n`; + testFiles.sort().forEach((file) => { + output += `- dist/test-data/${file}\n`; + }); + output += `\nBSD 3-Clause License\n\n`; + output += `Copyright (c) 2026, Camillo Bruni / Speedometer Contributors\n\n`; + output += `Redistribution and use in source and binary forms, with or without\n`; + output += `modification, are permitted provided that the following conditions are met:\n\n`; + output += `1. Redistributions of source code must retain the above copyright notice, this\n`; + output += ` list of conditions and the following disclaimer.\n\n`; + output += `2. Redistributions in binary form must reproduce the above copyright notice,\n`; + output += ` this list of conditions and the following disclaimer in the documentation\n`; + output += ` and/or other materials provided with the distribution.\n\n`; + output += `3. Neither the name of the copyright holder nor the names of its\n`; + output += ` contributors may be used to endorse or promote products derived from\n`; + output += ` this software without specific prior written permission.\n\n`; + output += `THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"\n`; + output += `AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n`; + output += `IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n`; + output += `DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\n`; + output += `FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\n`; + output += `DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\n`; + output += `SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\n`; + output += `CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\n`; + output += `OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\n`; + output += `OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n`; + } catch (e) { + console.warn(`Could not collect bundled GPS test track licenses: ${e.message}`); + } + + await mkdir('dist', { recursive: true }); + await writeFile(path.join('dist', 'LICENSE'), output); + console.log('Generated dist/LICENSE with NPM dependencies and bundled data assets.'); +} + +function generateTestData() { + console.log('Generating synthetic GPS track test data...'); + execSync('node scripts/generate-test-data.mjs', { stdio: 'inherit' }); +} + +async function build() { + await rm('dist', { recursive: true, force: true }); + generateTestData(); + + // 1. Bundle main app code + const ctxWeg = await esbuild.context({ + ...baseConfig, + entryPoints: ['src/app.ts'], + entryNames: 'tools-gps-tracks', + external: ['uplot', 'fit-file-parser'], + }); + + const ctxOverride = await esbuild.context({ + ...baseConfig, + entryPoints: ['src/benchmark-override.ts'], + entryNames: 'benchmark-override', + }); + + // 2. Bundle Vendors + const vendorEntryPoints = { + uplot: 'node_modules/uplot/dist/uPlot.esm.js', + 'fit-file-parser': 'src/vendor-fit.ts', + }; + + const vendorCtxs = await Promise.all( + Object.entries(vendorEntryPoints).map(([name, entry]) => + esbuild.context({ + ...baseConfig, + entryPoints: [entry], + entryNames: name, + }), + ), + ); + + // 3. Bundle CSS + const ctxCss = await esbuild.context({ + ...baseConfig, + entryPoints: ['src/css/styles.css'], + entryNames: 'styles', + }); + + if (watch) { + await copyStaticAssets(); + await Promise.all([ + ctxWeg.watch(), + ctxOverride.watch(), + ctxCss.watch(), + ...vendorCtxs.map((c) => c.watch()), + ]); + await generateResourcesFile(path.join(import.meta.dirname, 'dist')); + + const { host, port } = await ctxWeg.serve({ + servedir: 'dist', + fallback: 'index.html', + }); + console.log(`Development server: http://${host}:${port}`); + } else { + await Promise.all([ + ctxWeg.rebuild(), + ctxOverride.rebuild(), + ctxCss.rebuild(), + ...vendorCtxs.map((c) => c.rebuild()), + ]); + + await copyStaticAssets(); + await collectLicenses(); + + await Promise.all([ + ctxWeg.dispose(), + ctxOverride.dispose(), + ctxCss.dispose(), + ...vendorCtxs.map((c) => c.dispose()), + ]); + + await generateResourcesFile(path.join(import.meta.dirname, 'dist')); + console.log('Build complete. Production files and resources.txt are in dist/'); + } +} + +build().catch((err) => { + console.error(err); + process.exit(1); +}); diff --git a/suites-experimental/tools-gps-tracks/dist/LICENSE b/suites-experimental/tools-gps-tracks/dist/LICENSE new file mode 100644 index 0000000000..ab7852cb57 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/dist/LICENSE @@ -0,0 +1,158 @@ +TOOLS-GPS-TRACKS LICENSE +=========== + +BSD 3-Clause License + +Copyright (c) 2026, Camillo Bruni + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + + + +------------------------------------------------------------------------------ +UPLOT LICENSE +------------------------------------------------------------------------------ + +The MIT License (MIT) + +Copyright (c) 2022 Leon Sorokin + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. + + +------------------------------------------------------------------------------ +FIT-FILE-PARSER LICENSE +------------------------------------------------------------------------------ + +The MIT License (MIT) + +Copyright (c) 2015 Pierre Jacquier +http://pierrejacquier.com | @pierremtb + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. + + + + +------------------------------------------------------------------------------ +BUNDLED FONT ASSETS LICENSE (MATERIAL SYMBOLS) +------------------------------------------------------------------------------ + +Assets: material_symbols_rounded.woff2 (and hashed build assets) +Copyright Google LLC + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use these assets except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. + +MODIFICATION AND SUBSETTING NOTICE (Apache License 2.0, Section 4(b)): +These font binaries are subsetted and modified derivatives of the original +Google Material Symbols font files, containing only the +specific glyphs and icons utilized by the Tools-GPS-Tracks benchmark workload. + + +------------------------------------------------------------------------------ +BUNDLED GPS TEST TRACKS LICENSE (dist/test-data/*) +------------------------------------------------------------------------------ + +Bundled synthetic GPS test track files: +- dist/test-data/activity_1_alps_stage.gpx.gz +- dist/test-data/activity_2_forest_mtb.gpx.gz +- dist/test-data/activity_3_road_race.tcx.gz +- dist/test-data/activity_4_intervals.tcx.gz +- dist/test-data/activity_5_grand_tour.fit.gz +- dist/test-data/activity_6_weekend_ride.fit.gz +- dist/test-data/manifest.json + +BSD 3-Clause License + +Copyright (c) 2026, Camillo Bruni / Speedometer Contributors + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs b/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs new file mode 100644 index 0000000000..bbaea51084 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs @@ -0,0 +1,2 @@ +var o=539363104;window.__resetBenchmarkSeed=()=>{o=539363104};Math.random=()=>{let e=o+=1831565813;return e=Math.imul(e^e>>>15,e|1),e^=e+Math.imul(e^e>>>7,e|61),((e^e>>>14)>>>0)/4294967296};window.requestAnimationFrame=e=>window.setTimeout(()=>e(performance.now()),0);window.cancelAnimationFrame=e=>{window.clearTimeout(e)};try{Object.defineProperty(window,"devicePixelRatio",{get:()=>1,configurable:!0})}catch{}try{Object.defineProperty(navigator,"language",{get:()=>"en-US",configurable:!0}),Object.defineProperty(navigator,"languages",{get:()=>["en-US"],configurable:!0})}catch{}typeof CanvasRenderingContext2D<"u"&&(CanvasRenderingContext2D.prototype.measureText=function(e){let n=this.font||"10px sans-serif",i=n.match(/(\d+(?:\.\d+)?)px/),t=i?parseFloat(i[1]):10,r=/\bbold\b|\b[6-9]00\b/i.test(n),c=t*(r?.6:.55),a=String(e).length*c;return{width:a,actualBoundingBoxLeft:0,actualBoundingBoxRight:a,actualBoundingBoxAscent:t*.8,actualBoundingBoxDescent:t*.2,fontBoundingBoxAscent:t*.8,fontBoundingBoxDescent:t*.2,emHeightAscent:t*.8,emHeightDescent:t*.2,hangingBaseline:t*.8,alphabeticBaseline:0,ideographicBaseline:-t*.2}}); +//# sourceMappingURL=benchmark-override.mjs.map diff --git a/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs.map b/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs.map new file mode 100644 index 0000000000..979aa8e1f7 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs.map @@ -0,0 +1,7 @@ +{ + "version": 3, + "sources": ["../src/benchmark-override.ts"], + "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// Deterministic PRNG (Mulberry32) for reproducible benchmark runs.\nlet seed = 0x20260720;\n(window as any).__resetBenchmarkSeed = (): void => {\n seed = 0x20260720;\n};\nMath.random = (): number => {\n let t = (seed += 0x6d2b79f5);\n t = Math.imul(t ^ (t >>> 15), t | 1);\n t ^= t + Math.imul(t ^ (t >>> 7), t | 61);\n return ((t ^ (t >>> 14)) >>> 0) / 4294967296;\n};\n\nwindow.requestAnimationFrame = (callback: FrameRequestCallback): number => {\n return window.setTimeout(() => callback(performance.now()), 0);\n};\n\nwindow.cancelAnimationFrame = (id: number): void => {\n window.clearTimeout(id);\n};\n\n// Normalize devicePixelRatio to 1 so uPlot and canvas rendering execute\n// identical code paths (e.g. decimation thresholds and canvas dimensions) across browsers.\ntry {\n Object.defineProperty(window, 'devicePixelRatio', {\n get: () => 1,\n configurable: true,\n });\n} catch (_) {}\n\n// Normalize navigator.language to en-US so Intl.NumberFormat / locale formatters\n// produce identical strings across browsers and OS locales.\ntry {\n Object.defineProperty(navigator, 'language', {\n get: () => 'en-US',\n configurable: true,\n });\n Object.defineProperty(navigator, 'languages', {\n get: () => ['en-US'],\n configurable: true,\n });\n} catch (_) {}\n\n// Normalize CanvasRenderingContext2D.prototype.measureText so canvas layout calculations\n// (histogram padding, axis label bounding boxes, cursor pills) do not vary with OS/browser\n// system-ui font glyph metrics.\nif (typeof CanvasRenderingContext2D !== 'undefined') {\n CanvasRenderingContext2D.prototype.measureText = function (text: string): TextMetrics {\n const fontStr = this.font || '10px sans-serif';\n const sizeMatch = fontStr.match(/(\\d+(?:\\.\\d+)?)px/);\n const fontSize = sizeMatch ? 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if((r&64)===64){let h=(r&32)===32,y=i[n+2]===0,m=i[n+5],I=h?i[n+5+m*3+1]:0,F={littleEndian:y,globalMessageNumber:tt(y,[i[n+3],i[n+4]]),numberOfFields:m+I,fieldDefs:[]},U=me(F.globalMessageNumber);for(let E=0;E>4&4095,s=s^r^n[l&15],r=n[s&15],s=s>>4&4095,s=s^r^n[l>>4&15]}return s}function be(i,e,t){let n=[...i],s=0;for(let _=0;_c)r.push(u);else if(o<=c){s=d;break}}else r.push(u)}n[_][e]||(n[_][e]=r)}return n}function _t(i,e){let t=[...i],n=0;for(let s=0;su)l.push(d);else if(r<=u){n=o;break}}else l.push(d)}t[s].laps||(t[s].laps=l)}return t}var J=class{constructor(e={}){this.options={force:e.force!=null?e.force:!0,speedUnit:e.speedUnit||"m/s",lengthUnit:e.lengthUnit||"m",temperatureUnit:e.temperatureUnit||"celsius",elapsedRecordField:e.elapsedRecordField||!1,pressureUnit:e.pressureUnit||"bar",mode:e.mode||"list"}}parseAsync(e){return new Promise((t,n)=>{this.parse(e,(s,_)=>{s?n(s):_&&t(_)})})}parse(e,t){var n;let s=new Uint8Array(st(e));if(s.length<12&&(t("File to small to be a FIT file",void 0),!this.options.force))return;let _=s[0];if(_!==14&&_!==12&&(t("Incorrect header size",void 0),!this.options.force))return;let l="";for(let L=8;L<12;L++)l+=String.fromCharCode(s[L]);if(l!==".FIT"&&(t("Missing '.FIT' in header",void 0),!this.options.force))return;if(_===14){let L=s[12]+(s[13]<<8),W=we(s,0,12);if(L!==W&&!this.options.force)return}let r=s[1],o=s[2]+(s[3]<<8),u=s[4]+(s[5]<<8)+(s[6]<<16)+(s[7]<<24)+_,c=s[u]+(s[u+1]<<8),g=we(s,_===12?0:_,u);if(c!==g&&!this.options.force)return;let f={profileVersion:o,protocolVersion:r},x=[],h=[],y=[],m=[],I=[],F=[],U=[],O=[],G=[],E=[],v=[],A=[],R=[],S=[],j=[],D=[],X=[],ke=[],ie=[],xe=[],ve=[],Fe=[],Be=[],Ee=[],ne=_,lt=[],at=[],ze=this.options.mode==="cascade",rt=ze||this.options.mode==="both",se,_e,qe=0;for(;ne *) + +buffer/index.js: + (*! + * The buffer module from node.js, for the browser. + * + * @author Feross Aboukhadijeh + * @license MIT + *) +*/ +//# sourceMappingURL=fit-file-parser.mjs.map diff --git a/suites-experimental/tools-gps-tracks/dist/fit-file-parser.mjs.map b/suites-experimental/tools-gps-tracks/dist/fit-file-parser.mjs.map new file mode 100644 index 0000000000..6f402eab4b --- /dev/null +++ b/suites-experimental/tools-gps-tracks/dist/fit-file-parser.mjs.map @@ -0,0 +1,7 @@ +{ + "version": 3, + "sources": ["../node_modules/base64-js/index.js", "../node_modules/ieee754/index.js", "../node_modules/buffer/index.js", "../node_modules/fit-file-parser/dist/binary.js", "../node_modules/fit-file-parser/dist/fit.js", "../node_modules/fit-file-parser/dist/messages.js", "../node_modules/fit-file-parser/dist/helper.js", "../node_modules/fit-file-parser/dist/fit-parser.js", "../src/vendor-fit.ts"], + "sourcesContent": ["'use strict'\n\nexports.byteLength = byteLength\nexports.toByteArray = toByteArray\nexports.fromByteArray = fromByteArray\n\nvar lookup = []\nvar revLookup = []\nvar Arr = typeof Uint8Array !== 'undefined' ? Uint8Array : Array\n\nvar code = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'\nfor (var i = 0, len = code.length; i < len; ++i) {\n lookup[i] = code[i]\n revLookup[code.charCodeAt(i)] = i\n}\n\n// Support decoding URL-safe base64 strings, as Node.js does.\n// See: https://en.wikipedia.org/wiki/Base64#URL_applications\nrevLookup['-'.charCodeAt(0)] = 62\nrevLookup['_'.charCodeAt(0)] = 63\n\nfunction getLens (b64) {\n var len = b64.length\n\n if (len % 4 > 0) {\n throw new Error('Invalid string. Length must be a multiple of 4')\n }\n\n // Trim off extra bytes after placeholder bytes are found\n // See: https://github.com/beatgammit/base64-js/issues/42\n var validLen = b64.indexOf('=')\n if (validLen === -1) validLen = len\n\n var placeHoldersLen = validLen === len\n ? 0\n : 4 - (validLen % 4)\n\n return [validLen, placeHoldersLen]\n}\n\n// base64 is 4/3 + up to two characters of the original data\nfunction byteLength (b64) {\n var lens = getLens(b64)\n var validLen = lens[0]\n var placeHoldersLen = lens[1]\n return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction _byteLength (b64, validLen, placeHoldersLen) {\n return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction toByteArray (b64) {\n var tmp\n var lens = getLens(b64)\n var validLen = lens[0]\n var placeHoldersLen = lens[1]\n\n var arr = new Arr(_byteLength(b64, validLen, placeHoldersLen))\n\n var curByte = 0\n\n // if there are placeholders, only get up to the last complete 4 chars\n var len = placeHoldersLen > 0\n ? validLen - 4\n : validLen\n\n var i\n for (i = 0; i < len; i += 4) {\n tmp =\n (revLookup[b64.charCodeAt(i)] << 18) |\n (revLookup[b64.charCodeAt(i + 1)] << 12) |\n (revLookup[b64.charCodeAt(i + 2)] << 6) |\n revLookup[b64.charCodeAt(i + 3)]\n arr[curByte++] = (tmp >> 16) & 0xFF\n arr[curByte++] = (tmp >> 8) & 0xFF\n arr[curByte++] = tmp & 0xFF\n }\n\n if (placeHoldersLen === 2) {\n tmp =\n (revLookup[b64.charCodeAt(i)] << 2) |\n (revLookup[b64.charCodeAt(i + 1)] >> 4)\n arr[curByte++] = tmp & 0xFF\n }\n\n if (placeHoldersLen === 1) {\n tmp =\n (revLookup[b64.charCodeAt(i)] << 10) |\n (revLookup[b64.charCodeAt(i + 1)] << 4) |\n (revLookup[b64.charCodeAt(i + 2)] >> 2)\n arr[curByte++] = (tmp >> 8) & 0xFF\n arr[curByte++] = tmp & 0xFF\n }\n\n return arr\n}\n\nfunction tripletToBase64 (num) {\n return lookup[num >> 18 & 0x3F] +\n lookup[num >> 12 & 0x3F] +\n lookup[num >> 6 & 0x3F] +\n lookup[num & 0x3F]\n}\n\nfunction encodeChunk (uint8, start, end) {\n var tmp\n var output = []\n for (var i = start; i < end; i += 3) {\n tmp =\n ((uint8[i] << 16) & 0xFF0000) +\n ((uint8[i + 1] << 8) & 0xFF00) +\n (uint8[i + 2] & 0xFF)\n output.push(tripletToBase64(tmp))\n }\n return output.join('')\n}\n\nfunction fromByteArray (uint8) {\n var tmp\n var len = uint8.length\n var extraBytes = len % 3 // if we have 1 byte left, pad 2 bytes\n var parts = []\n var maxChunkLength = 16383 // must be multiple of 3\n\n // go through the array every three bytes, we'll deal with trailing stuff later\n for (var i = 0, len2 = len - extraBytes; i < len2; i += maxChunkLength) {\n parts.push(encodeChunk(uint8, i, (i + maxChunkLength) > len2 ? len2 : (i + maxChunkLength)))\n }\n\n // pad the end with zeros, but make sure to not forget the extra bytes\n if (extraBytes === 1) {\n tmp = uint8[len - 1]\n parts.push(\n lookup[tmp >> 2] +\n lookup[(tmp << 4) & 0x3F] +\n '=='\n )\n } else if (extraBytes === 2) {\n tmp = (uint8[len - 2] << 8) + uint8[len - 1]\n parts.push(\n lookup[tmp >> 10] +\n lookup[(tmp >> 4) & 0x3F] +\n lookup[(tmp << 2) & 0x3F] +\n '='\n )\n }\n\n return parts.join('')\n}\n", "/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh */\nexports.read = function (buffer, offset, isLE, mLen, nBytes) {\n var e, m\n var eLen = (nBytes * 8) - mLen - 1\n var eMax = (1 << eLen) - 1\n var eBias = eMax >> 1\n var nBits = -7\n var i = isLE ? (nBytes - 1) : 0\n var d = isLE ? -1 : 1\n var s = buffer[offset + i]\n\n i += d\n\n e = s & ((1 << (-nBits)) - 1)\n s >>= (-nBits)\n nBits += eLen\n for (; nBits > 0; e = (e * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n m = e & ((1 << (-nBits)) - 1)\n e >>= (-nBits)\n nBits += mLen\n for (; nBits > 0; m = (m * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n if (e === 0) {\n e = 1 - eBias\n } else if (e === eMax) {\n return m ? NaN : ((s ? -1 : 1) * Infinity)\n } else {\n m = m + Math.pow(2, mLen)\n e = e - eBias\n }\n return (s ? -1 : 1) * m * Math.pow(2, e - mLen)\n}\n\nexports.write = function (buffer, value, offset, isLE, mLen, nBytes) {\n var e, m, c\n var eLen = (nBytes * 8) - mLen - 1\n var eMax = (1 << eLen) - 1\n var eBias = eMax >> 1\n var rt = (mLen === 23 ? Math.pow(2, -24) - Math.pow(2, -77) : 0)\n var i = isLE ? 0 : (nBytes - 1)\n var d = isLE ? 1 : -1\n var s = value < 0 || (value === 0 && 1 / value < 0) ? 1 : 0\n\n value = Math.abs(value)\n\n if (isNaN(value) || value === Infinity) {\n m = isNaN(value) ? 1 : 0\n e = eMax\n } else {\n e = Math.floor(Math.log(value) / Math.LN2)\n if (value * (c = Math.pow(2, -e)) < 1) {\n e--\n c *= 2\n }\n if (e + eBias >= 1) {\n value += rt / c\n } else {\n value += rt * Math.pow(2, 1 - eBias)\n }\n if (value * c >= 2) {\n e++\n c /= 2\n }\n\n if (e + eBias >= eMax) {\n m = 0\n e = eMax\n } else if (e + eBias >= 1) {\n m = ((value * c) - 1) * Math.pow(2, mLen)\n e = e + eBias\n } else {\n m = value * Math.pow(2, eBias - 1) * Math.pow(2, mLen)\n e = 0\n }\n }\n\n for (; mLen >= 8; buffer[offset + i] = m & 0xff, i += d, m /= 256, mLen -= 8) {}\n\n e = (e << mLen) | m\n eLen += mLen\n for (; eLen > 0; buffer[offset + i] = e & 0xff, i += d, e /= 256, eLen -= 8) {}\n\n buffer[offset + i - d] |= s * 128\n}\n", "/*!\n * The buffer module from node.js, for the browser.\n *\n * @author Feross Aboukhadijeh \n * @license MIT\n */\n/* eslint-disable no-proto */\n\n'use strict'\n\nconst base64 = require('base64-js')\nconst ieee754 = require('ieee754')\nconst customInspectSymbol =\n (typeof Symbol === 'function' && typeof Symbol['for'] === 'function') // eslint-disable-line dot-notation\n ? Symbol['for']('nodejs.util.inspect.custom') // eslint-disable-line dot-notation\n : null\n\nexports.Buffer = Buffer\nexports.SlowBuffer = SlowBuffer\nexports.INSPECT_MAX_BYTES = 50\n\nconst K_MAX_LENGTH = 0x7fffffff\nexports.kMaxLength = K_MAX_LENGTH\n\n/**\n * If `Buffer.TYPED_ARRAY_SUPPORT`:\n * === true Use Uint8Array implementation (fastest)\n * === false Print warning and recommend using `buffer` v4.x which has an Object\n * implementation (most compatible, even IE6)\n *\n * Browsers that support typed arrays are IE 10+, Firefox 4+, Chrome 7+, Safari 5.1+,\n * Opera 11.6+, iOS 4.2+.\n *\n * We report that the browser does not support typed arrays if the are not subclassable\n * using __proto__. Firefox 4-29 lacks support for adding new properties to `Uint8Array`\n * (See: https://bugzilla.mozilla.org/show_bug.cgi?id=695438). IE 10 lacks support\n * for __proto__ and has a buggy typed array implementation.\n */\nBuffer.TYPED_ARRAY_SUPPORT = typedArraySupport()\n\nif (!Buffer.TYPED_ARRAY_SUPPORT && typeof console !== 'undefined' &&\n typeof console.error === 'function') {\n console.error(\n 'This browser lacks typed array (Uint8Array) support which is required by ' +\n '`buffer` v5.x. Use `buffer` v4.x if you require old browser support.'\n )\n}\n\nfunction typedArraySupport () {\n // Can typed array instances can be augmented?\n try {\n const arr = new Uint8Array(1)\n const proto = { foo: function () { return 42 } }\n Object.setPrototypeOf(proto, Uint8Array.prototype)\n Object.setPrototypeOf(arr, proto)\n return arr.foo() === 42\n } catch (e) {\n return false\n }\n}\n\nObject.defineProperty(Buffer.prototype, 'parent', {\n enumerable: true,\n get: function () {\n if (!Buffer.isBuffer(this)) return undefined\n return this.buffer\n }\n})\n\nObject.defineProperty(Buffer.prototype, 'offset', {\n enumerable: true,\n get: function () {\n if (!Buffer.isBuffer(this)) return undefined\n return this.byteOffset\n }\n})\n\nfunction createBuffer (length) {\n if (length > K_MAX_LENGTH) {\n throw new RangeError('The value \"' + length + '\" is invalid for option \"size\"')\n }\n // Return an augmented `Uint8Array` instance\n const buf = new Uint8Array(length)\n Object.setPrototypeOf(buf, Buffer.prototype)\n return buf\n}\n\n/**\n * The Buffer constructor returns instances of `Uint8Array` that have their\n * prototype changed to `Buffer.prototype`. Furthermore, `Buffer` is a subclass of\n * `Uint8Array`, so the returned instances will have all the node `Buffer` methods\n * and the `Uint8Array` methods. Square bracket notation works as expected -- it\n * returns a single octet.\n *\n * The `Uint8Array` prototype remains unmodified.\n */\n\nfunction Buffer (arg, encodingOrOffset, length) {\n // Common case.\n if (typeof arg === 'number') {\n if (typeof encodingOrOffset === 'string') {\n throw new TypeError(\n 'The \"string\" argument must be of type string. Received type number'\n )\n }\n return allocUnsafe(arg)\n }\n return from(arg, encodingOrOffset, length)\n}\n\nBuffer.poolSize = 8192 // not used by this implementation\n\nfunction from (value, encodingOrOffset, length) {\n if (typeof value === 'string') {\n return fromString(value, encodingOrOffset)\n }\n\n if (ArrayBuffer.isView(value)) {\n return fromArrayView(value)\n }\n\n if (value == null) {\n throw new TypeError(\n 'The first argument must be one of type string, Buffer, ArrayBuffer, Array, ' +\n 'or Array-like Object. Received type ' + (typeof value)\n )\n }\n\n if (isInstance(value, ArrayBuffer) ||\n (value && isInstance(value.buffer, ArrayBuffer))) {\n return fromArrayBuffer(value, encodingOrOffset, length)\n }\n\n if (typeof SharedArrayBuffer !== 'undefined' &&\n (isInstance(value, SharedArrayBuffer) ||\n (value && isInstance(value.buffer, SharedArrayBuffer)))) {\n return fromArrayBuffer(value, encodingOrOffset, length)\n }\n\n if (typeof value === 'number') {\n throw new TypeError(\n 'The \"value\" argument must not be of type number. Received type number'\n )\n }\n\n const valueOf = value.valueOf && value.valueOf()\n if (valueOf != null && valueOf !== value) {\n return Buffer.from(valueOf, encodingOrOffset, length)\n }\n\n const b = fromObject(value)\n if (b) return b\n\n if (typeof Symbol !== 'undefined' && Symbol.toPrimitive != null &&\n typeof value[Symbol.toPrimitive] === 'function') {\n return Buffer.from(value[Symbol.toPrimitive]('string'), encodingOrOffset, length)\n }\n\n throw new TypeError(\n 'The first argument must be one of type string, Buffer, ArrayBuffer, Array, ' +\n 'or Array-like Object. Received type ' + (typeof value)\n )\n}\n\n/**\n * Functionally equivalent to Buffer(arg, encoding) but throws a TypeError\n * if value is a number.\n * Buffer.from(str[, encoding])\n * Buffer.from(array)\n * Buffer.from(buffer)\n * Buffer.from(arrayBuffer[, byteOffset[, length]])\n **/\nBuffer.from = function (value, encodingOrOffset, length) {\n return from(value, encodingOrOffset, length)\n}\n\n// Note: Change prototype *after* Buffer.from is defined to workaround Chrome bug:\n// https://github.com/feross/buffer/pull/148\nObject.setPrototypeOf(Buffer.prototype, Uint8Array.prototype)\nObject.setPrototypeOf(Buffer, Uint8Array)\n\nfunction assertSize (size) {\n if (typeof size !== 'number') {\n throw new TypeError('\"size\" argument must be of type number')\n } else if (size < 0) {\n throw new RangeError('The value \"' + size + '\" is invalid for option \"size\"')\n }\n}\n\nfunction alloc (size, fill, encoding) {\n assertSize(size)\n if (size <= 0) {\n return createBuffer(size)\n }\n if (fill !== undefined) {\n // Only pay attention to encoding if it's a string. This\n // prevents accidentally sending in a number that would\n // be interpreted as a start offset.\n return typeof encoding === 'string'\n ? createBuffer(size).fill(fill, encoding)\n : createBuffer(size).fill(fill)\n }\n return createBuffer(size)\n}\n\n/**\n * Creates a new filled Buffer instance.\n * alloc(size[, fill[, encoding]])\n **/\nBuffer.alloc = function (size, fill, encoding) {\n return alloc(size, fill, encoding)\n}\n\nfunction allocUnsafe (size) {\n assertSize(size)\n return createBuffer(size < 0 ? 0 : checked(size) | 0)\n}\n\n/**\n * Equivalent to Buffer(num), by default creates a non-zero-filled Buffer instance.\n * */\nBuffer.allocUnsafe = function (size) {\n return allocUnsafe(size)\n}\n/**\n * Equivalent to SlowBuffer(num), by default creates a non-zero-filled Buffer instance.\n */\nBuffer.allocUnsafeSlow = function (size) {\n return allocUnsafe(size)\n}\n\nfunction fromString (string, encoding) {\n if (typeof encoding !== 'string' || encoding === '') {\n encoding = 'utf8'\n }\n\n if (!Buffer.isEncoding(encoding)) {\n throw new TypeError('Unknown encoding: ' + encoding)\n }\n\n const length = byteLength(string, encoding) | 0\n let buf = createBuffer(length)\n\n const actual = buf.write(string, encoding)\n\n if (actual !== length) {\n // Writing a hex string, for example, that contains invalid characters will\n // cause everything after the first invalid character to be ignored. (e.g.\n // 'abxxcd' will be treated as 'ab')\n buf = buf.slice(0, actual)\n }\n\n return buf\n}\n\nfunction fromArrayLike (array) {\n const length = array.length < 0 ? 0 : checked(array.length) | 0\n const buf = createBuffer(length)\n for (let i = 0; i < length; i += 1) {\n buf[i] = array[i] & 255\n }\n return buf\n}\n\nfunction fromArrayView (arrayView) {\n if (isInstance(arrayView, Uint8Array)) {\n const copy = new Uint8Array(arrayView)\n return fromArrayBuffer(copy.buffer, copy.byteOffset, copy.byteLength)\n }\n return fromArrayLike(arrayView)\n}\n\nfunction fromArrayBuffer (array, byteOffset, length) {\n if (byteOffset < 0 || array.byteLength < byteOffset) {\n throw new RangeError('\"offset\" is outside of buffer bounds')\n }\n\n if (array.byteLength < byteOffset + (length || 0)) {\n throw new RangeError('\"length\" is outside of buffer bounds')\n }\n\n let buf\n if (byteOffset === undefined && length === undefined) {\n buf = new Uint8Array(array)\n } else if (length === undefined) {\n buf = new Uint8Array(array, byteOffset)\n } else {\n buf = new Uint8Array(array, byteOffset, length)\n }\n\n // Return an augmented `Uint8Array` instance\n Object.setPrototypeOf(buf, Buffer.prototype)\n\n return buf\n}\n\nfunction fromObject (obj) {\n if (Buffer.isBuffer(obj)) {\n const len = checked(obj.length) | 0\n const buf = createBuffer(len)\n\n if (buf.length === 0) {\n return buf\n }\n\n obj.copy(buf, 0, 0, len)\n return buf\n }\n\n if (obj.length !== undefined) {\n if (typeof obj.length !== 'number' || numberIsNaN(obj.length)) {\n return createBuffer(0)\n }\n return fromArrayLike(obj)\n }\n\n if (obj.type === 'Buffer' && Array.isArray(obj.data)) {\n return fromArrayLike(obj.data)\n }\n}\n\nfunction checked (length) {\n // Note: cannot use `length < K_MAX_LENGTH` here because that fails when\n // length is NaN (which is otherwise coerced to zero.)\n if (length >= K_MAX_LENGTH) {\n throw new RangeError('Attempt to allocate Buffer larger than maximum ' +\n 'size: 0x' + K_MAX_LENGTH.toString(16) + ' bytes')\n }\n return length | 0\n}\n\nfunction SlowBuffer (length) {\n if (+length != length) { // eslint-disable-line eqeqeq\n length = 0\n }\n return Buffer.alloc(+length)\n}\n\nBuffer.isBuffer = function isBuffer (b) {\n return b != null && b._isBuffer === true &&\n b !== Buffer.prototype // so Buffer.isBuffer(Buffer.prototype) will be false\n}\n\nBuffer.compare = function compare (a, b) {\n if (isInstance(a, Uint8Array)) a = Buffer.from(a, a.offset, a.byteLength)\n if (isInstance(b, Uint8Array)) b = Buffer.from(b, b.offset, b.byteLength)\n if (!Buffer.isBuffer(a) || !Buffer.isBuffer(b)) {\n throw new TypeError(\n 'The \"buf1\", \"buf2\" arguments must be one of type Buffer or Uint8Array'\n )\n }\n\n if (a === b) return 0\n\n let x = a.length\n let y = b.length\n\n for (let i = 0, len = Math.min(x, y); i < len; ++i) {\n if (a[i] !== b[i]) {\n x = a[i]\n y = b[i]\n break\n }\n }\n\n if (x < y) return -1\n if (y < x) return 1\n return 0\n}\n\nBuffer.isEncoding = function isEncoding (encoding) {\n switch (String(encoding).toLowerCase()) {\n case 'hex':\n case 'utf8':\n case 'utf-8':\n case 'ascii':\n case 'latin1':\n case 'binary':\n case 'base64':\n case 'ucs2':\n case 'ucs-2':\n case 'utf16le':\n case 'utf-16le':\n return true\n default:\n return false\n }\n}\n\nBuffer.concat = function concat (list, length) {\n if (!Array.isArray(list)) {\n throw new TypeError('\"list\" argument must be an Array of Buffers')\n }\n\n if (list.length === 0) {\n return Buffer.alloc(0)\n }\n\n let i\n if (length === undefined) {\n length = 0\n for (i = 0; i < list.length; ++i) {\n length += list[i].length\n }\n }\n\n const buffer = Buffer.allocUnsafe(length)\n let pos = 0\n for (i = 0; i < list.length; ++i) {\n let buf = list[i]\n if (isInstance(buf, Uint8Array)) {\n if (pos + buf.length > buffer.length) {\n if (!Buffer.isBuffer(buf)) buf = Buffer.from(buf)\n buf.copy(buffer, pos)\n } else {\n Uint8Array.prototype.set.call(\n buffer,\n buf,\n pos\n )\n }\n } else if (!Buffer.isBuffer(buf)) {\n throw new TypeError('\"list\" argument must be an Array of Buffers')\n } else {\n buf.copy(buffer, pos)\n }\n pos += buf.length\n }\n return buffer\n}\n\nfunction byteLength (string, encoding) {\n if (Buffer.isBuffer(string)) {\n return string.length\n }\n if (ArrayBuffer.isView(string) || isInstance(string, ArrayBuffer)) {\n return string.byteLength\n }\n if (typeof string !== 'string') {\n throw new TypeError(\n 'The \"string\" argument must be one of type string, Buffer, or ArrayBuffer. ' +\n 'Received type ' + typeof string\n )\n }\n\n const len = string.length\n const mustMatch = (arguments.length > 2 && arguments[2] === true)\n if (!mustMatch && len === 0) return 0\n\n // Use a for loop to avoid recursion\n let loweredCase = false\n for (;;) {\n switch (encoding) {\n case 'ascii':\n case 'latin1':\n case 'binary':\n return len\n case 'utf8':\n case 'utf-8':\n return utf8ToBytes(string).length\n case 'ucs2':\n case 'ucs-2':\n case 'utf16le':\n case 'utf-16le':\n return len * 2\n case 'hex':\n return len >>> 1\n case 'base64':\n return base64ToBytes(string).length\n default:\n if (loweredCase) {\n return mustMatch ? -1 : utf8ToBytes(string).length // assume utf8\n }\n encoding = ('' + encoding).toLowerCase()\n loweredCase = true\n }\n }\n}\nBuffer.byteLength = byteLength\n\nfunction slowToString (encoding, start, end) {\n let loweredCase = false\n\n // No need to verify that \"this.length <= MAX_UINT32\" since it's a read-only\n // property of a typed array.\n\n // This behaves neither like String nor Uint8Array in that we set start/end\n // to their upper/lower bounds if the value passed is out of range.\n // undefined is handled specially as per ECMA-262 6th Edition,\n // Section 13.3.3.7 Runtime Semantics: KeyedBindingInitialization.\n if (start === undefined || start < 0) {\n start = 0\n }\n // Return early if start > this.length. Done here to prevent potential uint32\n // coercion fail below.\n if (start > this.length) {\n return ''\n }\n\n if (end === undefined || end > this.length) {\n end = this.length\n }\n\n if (end <= 0) {\n return ''\n }\n\n // Force coercion to uint32. This will also coerce falsey/NaN values to 0.\n end >>>= 0\n start >>>= 0\n\n if (end <= start) {\n return ''\n }\n\n if (!encoding) encoding = 'utf8'\n\n while (true) {\n switch (encoding) {\n case 'hex':\n return hexSlice(this, start, end)\n\n case 'utf8':\n case 'utf-8':\n return utf8Slice(this, start, end)\n\n case 'ascii':\n return asciiSlice(this, start, end)\n\n case 'latin1':\n case 'binary':\n return latin1Slice(this, start, end)\n\n case 'base64':\n return base64Slice(this, start, end)\n\n case 'ucs2':\n case 'ucs-2':\n case 'utf16le':\n case 'utf-16le':\n return utf16leSlice(this, start, end)\n\n default:\n if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n encoding = (encoding + '').toLowerCase()\n loweredCase = true\n }\n }\n}\n\n// This property is used by `Buffer.isBuffer` (and the `is-buffer` npm package)\n// to detect a Buffer instance. It's not possible to use `instanceof Buffer`\n// reliably in a browserify context because there could be multiple different\n// copies of the 'buffer' package in use. This method works even for Buffer\n// instances that were created from another copy of the `buffer` package.\n// See: https://github.com/feross/buffer/issues/154\nBuffer.prototype._isBuffer = true\n\nfunction swap (b, n, m) {\n const i = b[n]\n b[n] = b[m]\n b[m] = i\n}\n\nBuffer.prototype.swap16 = function swap16 () {\n const len = this.length\n if (len % 2 !== 0) {\n throw new RangeError('Buffer size must be a multiple of 16-bits')\n }\n for (let i = 0; i < len; i += 2) {\n swap(this, i, i + 1)\n }\n return this\n}\n\nBuffer.prototype.swap32 = function swap32 () {\n const len = this.length\n if (len % 4 !== 0) {\n throw new RangeError('Buffer size must be a multiple of 32-bits')\n }\n for (let i = 0; i < len; i += 4) {\n swap(this, i, i + 3)\n swap(this, i + 1, i + 2)\n }\n return this\n}\n\nBuffer.prototype.swap64 = function swap64 () {\n const len = this.length\n if (len % 8 !== 0) {\n throw new RangeError('Buffer size must be a multiple of 64-bits')\n }\n for (let i = 0; i < len; i += 8) {\n swap(this, i, i + 7)\n swap(this, i + 1, i + 6)\n swap(this, i + 2, i + 5)\n swap(this, i + 3, i + 4)\n }\n return this\n}\n\nBuffer.prototype.toString = function toString () {\n const length = this.length\n if (length === 0) return ''\n if (arguments.length === 0) return utf8Slice(this, 0, length)\n return slowToString.apply(this, arguments)\n}\n\nBuffer.prototype.toLocaleString = Buffer.prototype.toString\n\nBuffer.prototype.equals = function equals (b) {\n if (!Buffer.isBuffer(b)) throw new TypeError('Argument must be a Buffer')\n if (this === b) return true\n return Buffer.compare(this, b) === 0\n}\n\nBuffer.prototype.inspect = function inspect () {\n let str = ''\n const max = exports.INSPECT_MAX_BYTES\n str = this.toString('hex', 0, max).replace(/(.{2})/g, '$1 ').trim()\n if (this.length > max) str += ' ... '\n return ''\n}\nif (customInspectSymbol) {\n Buffer.prototype[customInspectSymbol] = Buffer.prototype.inspect\n}\n\nBuffer.prototype.compare = function compare (target, start, end, thisStart, thisEnd) {\n if (isInstance(target, Uint8Array)) {\n target = Buffer.from(target, target.offset, target.byteLength)\n }\n if (!Buffer.isBuffer(target)) {\n throw new TypeError(\n 'The \"target\" argument must be one of type Buffer or Uint8Array. ' +\n 'Received type ' + (typeof target)\n )\n }\n\n if (start === undefined) {\n start = 0\n }\n if (end === undefined) {\n end = target ? target.length : 0\n }\n if (thisStart === undefined) {\n thisStart = 0\n }\n if (thisEnd === undefined) {\n thisEnd = this.length\n }\n\n if (start < 0 || end > target.length || thisStart < 0 || thisEnd > this.length) {\n throw new RangeError('out of range index')\n }\n\n if (thisStart >= thisEnd && start >= end) {\n return 0\n }\n if (thisStart >= thisEnd) {\n return -1\n }\n if (start >= end) {\n return 1\n }\n\n start >>>= 0\n end >>>= 0\n thisStart >>>= 0\n thisEnd >>>= 0\n\n if (this === target) return 0\n\n let x = thisEnd - thisStart\n let y = end - start\n const len = Math.min(x, y)\n\n const thisCopy = this.slice(thisStart, thisEnd)\n const targetCopy = target.slice(start, end)\n\n for (let i = 0; i < len; ++i) {\n if (thisCopy[i] !== targetCopy[i]) {\n x = thisCopy[i]\n y = targetCopy[i]\n break\n }\n }\n\n if (x < y) return -1\n if (y < x) return 1\n return 0\n}\n\n// Finds either the first index of `val` in `buffer` at offset >= `byteOffset`,\n// OR the last index of `val` in `buffer` at offset <= `byteOffset`.\n//\n// Arguments:\n// - buffer - a Buffer to search\n// - val - a string, Buffer, or number\n// - byteOffset - an index into `buffer`; will be clamped to an int32\n// - encoding - an optional encoding, relevant is val is a string\n// - dir - true for indexOf, false for lastIndexOf\nfunction bidirectionalIndexOf (buffer, val, byteOffset, encoding, dir) {\n // Empty buffer means no match\n if (buffer.length === 0) return -1\n\n // Normalize byteOffset\n if (typeof byteOffset === 'string') {\n encoding = byteOffset\n byteOffset = 0\n } else if (byteOffset > 0x7fffffff) {\n byteOffset = 0x7fffffff\n } else if (byteOffset < -0x80000000) {\n byteOffset = -0x80000000\n }\n byteOffset = +byteOffset // Coerce to Number.\n if (numberIsNaN(byteOffset)) {\n // byteOffset: it it's undefined, null, NaN, \"foo\", etc, search whole buffer\n byteOffset = dir ? 0 : (buffer.length - 1)\n }\n\n // Normalize byteOffset: negative offsets start from the end of the buffer\n if (byteOffset < 0) byteOffset = buffer.length + byteOffset\n if (byteOffset >= buffer.length) {\n if (dir) return -1\n else byteOffset = buffer.length - 1\n } else if (byteOffset < 0) {\n if (dir) byteOffset = 0\n else return -1\n }\n\n // Normalize val\n if (typeof val === 'string') {\n val = Buffer.from(val, encoding)\n }\n\n // Finally, search either indexOf (if dir is true) or lastIndexOf\n if (Buffer.isBuffer(val)) {\n // Special case: looking for empty string/buffer always fails\n if (val.length === 0) {\n return -1\n }\n return arrayIndexOf(buffer, val, byteOffset, encoding, dir)\n } else if (typeof val === 'number') {\n val = val & 0xFF // Search for a byte value [0-255]\n if (typeof Uint8Array.prototype.indexOf === 'function') {\n if (dir) {\n return Uint8Array.prototype.indexOf.call(buffer, val, byteOffset)\n } else {\n return Uint8Array.prototype.lastIndexOf.call(buffer, val, byteOffset)\n }\n }\n return arrayIndexOf(buffer, [val], byteOffset, encoding, dir)\n }\n\n throw new TypeError('val must be string, number or Buffer')\n}\n\nfunction arrayIndexOf (arr, val, byteOffset, encoding, dir) {\n let indexSize = 1\n let arrLength = arr.length\n let valLength = val.length\n\n if (encoding !== undefined) {\n encoding = String(encoding).toLowerCase()\n if (encoding === 'ucs2' || encoding === 'ucs-2' ||\n encoding === 'utf16le' || encoding === 'utf-16le') {\n if (arr.length < 2 || val.length < 2) {\n return -1\n }\n indexSize = 2\n arrLength /= 2\n valLength /= 2\n byteOffset /= 2\n }\n }\n\n function read (buf, i) {\n if (indexSize === 1) {\n return buf[i]\n } else {\n return buf.readUInt16BE(i * indexSize)\n }\n }\n\n let i\n if (dir) {\n let foundIndex = -1\n for (i = byteOffset; i < arrLength; i++) {\n if (read(arr, i) === read(val, foundIndex === -1 ? 0 : i - foundIndex)) {\n if (foundIndex === -1) foundIndex = i\n if (i - foundIndex + 1 === valLength) return foundIndex * indexSize\n } else {\n if (foundIndex !== -1) i -= i - foundIndex\n foundIndex = -1\n }\n }\n } else {\n if (byteOffset + valLength > arrLength) byteOffset = arrLength - valLength\n for (i = byteOffset; i >= 0; i--) {\n let found = true\n for (let j = 0; j < valLength; j++) {\n if (read(arr, i + j) !== read(val, j)) {\n found = false\n break\n }\n }\n if (found) return i\n }\n }\n\n return -1\n}\n\nBuffer.prototype.includes = function includes (val, byteOffset, encoding) {\n return this.indexOf(val, byteOffset, encoding) !== -1\n}\n\nBuffer.prototype.indexOf = function indexOf (val, byteOffset, encoding) {\n return bidirectionalIndexOf(this, val, byteOffset, encoding, true)\n}\n\nBuffer.prototype.lastIndexOf = function lastIndexOf (val, byteOffset, encoding) {\n return bidirectionalIndexOf(this, val, byteOffset, encoding, false)\n}\n\nfunction hexWrite (buf, string, offset, length) {\n offset = Number(offset) || 0\n const remaining = buf.length - offset\n if (!length) {\n length = remaining\n } else {\n length = Number(length)\n if (length > remaining) {\n length = remaining\n }\n }\n\n const strLen = string.length\n\n if (length > strLen / 2) {\n length = strLen / 2\n }\n let i\n for (i = 0; i < length; ++i) {\n const parsed = parseInt(string.substr(i * 2, 2), 16)\n if (numberIsNaN(parsed)) return i\n buf[offset + i] = parsed\n }\n return i\n}\n\nfunction utf8Write (buf, string, offset, length) {\n return blitBuffer(utf8ToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nfunction asciiWrite (buf, string, offset, length) {\n return blitBuffer(asciiToBytes(string), buf, offset, length)\n}\n\nfunction base64Write (buf, string, offset, length) {\n return blitBuffer(base64ToBytes(string), buf, offset, length)\n}\n\nfunction ucs2Write (buf, string, offset, length) {\n return blitBuffer(utf16leToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nBuffer.prototype.write = function write (string, offset, length, encoding) {\n // Buffer#write(string)\n if (offset === undefined) {\n encoding = 'utf8'\n length = this.length\n offset = 0\n // Buffer#write(string, encoding)\n } else if (length === undefined && typeof offset === 'string') {\n encoding = offset\n length = this.length\n offset = 0\n // Buffer#write(string, offset[, length][, encoding])\n } else if (isFinite(offset)) {\n offset = offset >>> 0\n if (isFinite(length)) {\n length = length >>> 0\n if (encoding === undefined) encoding = 'utf8'\n } else {\n encoding = length\n length = undefined\n }\n } else {\n throw new Error(\n 'Buffer.write(string, encoding, offset[, length]) is no longer supported'\n )\n }\n\n const remaining = this.length - offset\n if (length === undefined || length > remaining) length = remaining\n\n if ((string.length > 0 && (length < 0 || offset < 0)) || offset > this.length) {\n throw new RangeError('Attempt to write outside buffer bounds')\n }\n\n if (!encoding) encoding = 'utf8'\n\n let loweredCase = false\n for (;;) {\n switch (encoding) {\n case 'hex':\n return hexWrite(this, string, offset, length)\n\n case 'utf8':\n case 'utf-8':\n return utf8Write(this, string, offset, length)\n\n case 'ascii':\n case 'latin1':\n case 'binary':\n return asciiWrite(this, string, offset, length)\n\n case 'base64':\n // Warning: maxLength not taken into account in base64Write\n return base64Write(this, string, offset, length)\n\n case 'ucs2':\n case 'ucs-2':\n case 'utf16le':\n case 'utf-16le':\n return ucs2Write(this, string, offset, length)\n\n default:\n if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n encoding = ('' + encoding).toLowerCase()\n loweredCase = true\n }\n }\n}\n\nBuffer.prototype.toJSON = function toJSON () {\n return {\n type: 'Buffer',\n data: Array.prototype.slice.call(this._arr || this, 0)\n }\n}\n\nfunction base64Slice (buf, start, end) {\n if (start === 0 && end === buf.length) {\n return base64.fromByteArray(buf)\n } else {\n return base64.fromByteArray(buf.slice(start, end))\n }\n}\n\nfunction utf8Slice (buf, start, end) {\n end = Math.min(buf.length, end)\n const res = []\n\n let i = start\n while (i < end) {\n const firstByte = buf[i]\n let codePoint = null\n let bytesPerSequence = (firstByte > 0xEF)\n ? 4\n : (firstByte > 0xDF)\n ? 3\n : (firstByte > 0xBF)\n ? 2\n : 1\n\n if (i + bytesPerSequence <= end) {\n let secondByte, thirdByte, fourthByte, tempCodePoint\n\n switch (bytesPerSequence) {\n case 1:\n if (firstByte < 0x80) {\n codePoint = firstByte\n }\n break\n case 2:\n secondByte = buf[i + 1]\n if ((secondByte & 0xC0) === 0x80) {\n tempCodePoint = (firstByte & 0x1F) << 0x6 | (secondByte & 0x3F)\n if (tempCodePoint > 0x7F) {\n codePoint = tempCodePoint\n }\n }\n break\n case 3:\n secondByte = buf[i + 1]\n thirdByte = buf[i + 2]\n if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80) {\n tempCodePoint = (firstByte & 0xF) << 0xC | (secondByte & 0x3F) << 0x6 | (thirdByte & 0x3F)\n if (tempCodePoint > 0x7FF && (tempCodePoint < 0xD800 || tempCodePoint > 0xDFFF)) {\n codePoint = tempCodePoint\n }\n }\n break\n case 4:\n secondByte = buf[i + 1]\n thirdByte = buf[i + 2]\n fourthByte = buf[i + 3]\n if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80 && (fourthByte & 0xC0) === 0x80) {\n tempCodePoint = (firstByte & 0xF) << 0x12 | (secondByte & 0x3F) << 0xC | (thirdByte & 0x3F) << 0x6 | (fourthByte & 0x3F)\n if (tempCodePoint > 0xFFFF && tempCodePoint < 0x110000) {\n codePoint = tempCodePoint\n }\n }\n }\n }\n\n if (codePoint === null) {\n // we did not generate a valid codePoint so insert a\n // replacement char (U+FFFD) and advance only 1 byte\n codePoint = 0xFFFD\n bytesPerSequence = 1\n } else if (codePoint > 0xFFFF) {\n // encode to utf16 (surrogate pair dance)\n codePoint -= 0x10000\n res.push(codePoint >>> 10 & 0x3FF | 0xD800)\n codePoint = 0xDC00 | codePoint & 0x3FF\n }\n\n res.push(codePoint)\n i += bytesPerSequence\n }\n\n return decodeCodePointsArray(res)\n}\n\n// Based on http://stackoverflow.com/a/22747272/680742, the browser with\n// the lowest limit is Chrome, with 0x10000 args.\n// We go 1 magnitude less, for safety\nconst MAX_ARGUMENTS_LENGTH = 0x1000\n\nfunction decodeCodePointsArray (codePoints) {\n const len = codePoints.length\n if (len <= MAX_ARGUMENTS_LENGTH) {\n return String.fromCharCode.apply(String, codePoints) // avoid extra slice()\n }\n\n // Decode in chunks to avoid \"call stack size exceeded\".\n let res = ''\n let i = 0\n while (i < len) {\n res += String.fromCharCode.apply(\n String,\n codePoints.slice(i, i += MAX_ARGUMENTS_LENGTH)\n )\n }\n return res\n}\n\nfunction asciiSlice (buf, start, end) {\n let ret = ''\n end = Math.min(buf.length, end)\n\n for (let i = start; i < end; ++i) {\n ret += String.fromCharCode(buf[i] & 0x7F)\n }\n return ret\n}\n\nfunction latin1Slice (buf, start, end) {\n let ret = ''\n end = Math.min(buf.length, end)\n\n for (let i = start; i < end; ++i) {\n ret += String.fromCharCode(buf[i])\n }\n return ret\n}\n\nfunction hexSlice (buf, start, end) {\n const len = buf.length\n\n if (!start || start < 0) start = 0\n if (!end || end < 0 || end > len) end = len\n\n let out = ''\n for (let i = start; i < end; ++i) {\n out += hexSliceLookupTable[buf[i]]\n }\n return out\n}\n\nfunction utf16leSlice (buf, start, end) {\n const bytes = buf.slice(start, end)\n let res = ''\n // If bytes.length is odd, the last 8 bits must be ignored (same as node.js)\n for (let i = 0; i < bytes.length - 1; i += 2) {\n res += String.fromCharCode(bytes[i] + (bytes[i + 1] * 256))\n }\n return res\n}\n\nBuffer.prototype.slice = function slice (start, end) {\n const len = this.length\n start = ~~start\n end = end === undefined ? len : ~~end\n\n if (start < 0) {\n start += len\n if (start < 0) start = 0\n } else if (start > len) {\n start = len\n }\n\n if (end < 0) {\n end += len\n if (end < 0) end = 0\n } else if (end > len) {\n end = len\n }\n\n if (end < start) end = start\n\n const newBuf = this.subarray(start, end)\n // Return an augmented `Uint8Array` instance\n Object.setPrototypeOf(newBuf, Buffer.prototype)\n\n return newBuf\n}\n\n/*\n * Need to make sure that buffer isn't trying to write out of bounds.\n */\nfunction checkOffset (offset, ext, length) {\n if ((offset % 1) !== 0 || offset < 0) throw new RangeError('offset is not uint')\n if (offset + ext > length) throw new RangeError('Trying to access beyond buffer length')\n}\n\nBuffer.prototype.readUintLE =\nBuffer.prototype.readUIntLE = function readUIntLE (offset, byteLength, noAssert) {\n offset = offset >>> 0\n byteLength = byteLength >>> 0\n if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n let val = this[offset]\n let mul = 1\n let i = 0\n while (++i < byteLength && (mul *= 0x100)) {\n val += this[offset + i] * mul\n }\n\n return val\n}\n\nBuffer.prototype.readUintBE =\nBuffer.prototype.readUIntBE = function readUIntBE (offset, byteLength, noAssert) {\n offset = offset >>> 0\n byteLength = byteLength >>> 0\n if (!noAssert) {\n checkOffset(offset, byteLength, this.length)\n }\n\n let val = this[offset + --byteLength]\n let mul = 1\n while (byteLength > 0 && (mul *= 0x100)) {\n val += this[offset + --byteLength] * mul\n }\n\n return val\n}\n\nBuffer.prototype.readUint8 =\nBuffer.prototype.readUInt8 = function readUInt8 (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 1, this.length)\n return this[offset]\n}\n\nBuffer.prototype.readUint16LE =\nBuffer.prototype.readUInt16LE = function readUInt16LE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 2, this.length)\n return this[offset] | (this[offset + 1] << 8)\n}\n\nBuffer.prototype.readUint16BE =\nBuffer.prototype.readUInt16BE = function readUInt16BE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 2, this.length)\n return (this[offset] << 8) | this[offset + 1]\n}\n\nBuffer.prototype.readUint32LE =\nBuffer.prototype.readUInt32LE = function readUInt32LE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 4, this.length)\n\n return ((this[offset]) |\n (this[offset + 1] << 8) |\n (this[offset + 2] << 16)) +\n (this[offset + 3] * 0x1000000)\n}\n\nBuffer.prototype.readUint32BE =\nBuffer.prototype.readUInt32BE = function readUInt32BE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 4, this.length)\n\n return (this[offset] * 0x1000000) +\n ((this[offset + 1] << 16) |\n (this[offset + 2] << 8) |\n this[offset + 3])\n}\n\nBuffer.prototype.readBigUInt64LE = defineBigIntMethod(function readBigUInt64LE (offset) {\n offset = offset >>> 0\n validateNumber(offset, 'offset')\n const first = this[offset]\n const last = this[offset + 7]\n if (first === undefined || last === undefined) {\n boundsError(offset, this.length - 8)\n }\n\n const lo = first +\n this[++offset] * 2 ** 8 +\n this[++offset] * 2 ** 16 +\n this[++offset] * 2 ** 24\n\n const hi = this[++offset] +\n this[++offset] * 2 ** 8 +\n this[++offset] * 2 ** 16 +\n last * 2 ** 24\n\n return BigInt(lo) + (BigInt(hi) << BigInt(32))\n})\n\nBuffer.prototype.readBigUInt64BE = defineBigIntMethod(function readBigUInt64BE (offset) {\n offset = offset >>> 0\n validateNumber(offset, 'offset')\n const first = this[offset]\n const last = this[offset + 7]\n if (first === undefined || last === undefined) {\n boundsError(offset, this.length - 8)\n }\n\n const hi = first * 2 ** 24 +\n this[++offset] * 2 ** 16 +\n this[++offset] * 2 ** 8 +\n this[++offset]\n\n const lo = this[++offset] * 2 ** 24 +\n this[++offset] * 2 ** 16 +\n this[++offset] * 2 ** 8 +\n last\n\n return (BigInt(hi) << BigInt(32)) + BigInt(lo)\n})\n\nBuffer.prototype.readIntLE = function readIntLE (offset, byteLength, noAssert) {\n offset = offset >>> 0\n byteLength = byteLength >>> 0\n if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n let val = this[offset]\n let mul = 1\n let i = 0\n while (++i < byteLength && (mul *= 0x100)) {\n val += this[offset + i] * mul\n }\n mul *= 0x80\n\n if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n return val\n}\n\nBuffer.prototype.readIntBE = function readIntBE (offset, byteLength, noAssert) {\n offset = offset >>> 0\n byteLength = byteLength >>> 0\n if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n let i = byteLength\n let mul = 1\n let val = this[offset + --i]\n while (i > 0 && (mul *= 0x100)) {\n val += this[offset + --i] * mul\n }\n mul *= 0x80\n\n if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n return val\n}\n\nBuffer.prototype.readInt8 = function readInt8 (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 1, this.length)\n if (!(this[offset] & 0x80)) return (this[offset])\n return ((0xff - this[offset] + 1) * -1)\n}\n\nBuffer.prototype.readInt16LE = function readInt16LE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 2, this.length)\n const val = this[offset] | (this[offset + 1] << 8)\n return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt16BE = function readInt16BE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 2, this.length)\n const val = this[offset + 1] | (this[offset] << 8)\n return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt32LE = function readInt32LE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 4, this.length)\n\n return (this[offset]) |\n (this[offset + 1] << 8) |\n (this[offset + 2] << 16) |\n (this[offset + 3] << 24)\n}\n\nBuffer.prototype.readInt32BE = function readInt32BE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 4, this.length)\n\n return (this[offset] << 24) |\n (this[offset + 1] << 16) |\n (this[offset + 2] << 8) |\n (this[offset + 3])\n}\n\nBuffer.prototype.readBigInt64LE = defineBigIntMethod(function readBigInt64LE (offset) {\n offset = offset >>> 0\n validateNumber(offset, 'offset')\n const first = this[offset]\n const last = this[offset + 7]\n if (first === undefined || last === undefined) {\n boundsError(offset, this.length - 8)\n }\n\n const val = this[offset + 4] +\n this[offset + 5] * 2 ** 8 +\n this[offset + 6] * 2 ** 16 +\n (last << 24) // Overflow\n\n return (BigInt(val) << BigInt(32)) +\n BigInt(first +\n this[++offset] * 2 ** 8 +\n this[++offset] * 2 ** 16 +\n this[++offset] * 2 ** 24)\n})\n\nBuffer.prototype.readBigInt64BE = defineBigIntMethod(function readBigInt64BE (offset) {\n offset = offset >>> 0\n validateNumber(offset, 'offset')\n const first = this[offset]\n const last = this[offset + 7]\n if (first === undefined || last === undefined) {\n boundsError(offset, this.length - 8)\n }\n\n const val = (first << 24) + // Overflow\n this[++offset] * 2 ** 16 +\n this[++offset] * 2 ** 8 +\n this[++offset]\n\n return (BigInt(val) << BigInt(32)) +\n BigInt(this[++offset] * 2 ** 24 +\n this[++offset] * 2 ** 16 +\n this[++offset] * 2 ** 8 +\n last)\n})\n\nBuffer.prototype.readFloatLE = function readFloatLE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 4, this.length)\n return ieee754.read(this, offset, true, 23, 4)\n}\n\nBuffer.prototype.readFloatBE = function readFloatBE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 4, this.length)\n return ieee754.read(this, offset, false, 23, 4)\n}\n\nBuffer.prototype.readDoubleLE = function readDoubleLE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 8, this.length)\n return ieee754.read(this, offset, true, 52, 8)\n}\n\nBuffer.prototype.readDoubleBE = function readDoubleBE (offset, noAssert) {\n offset = offset >>> 0\n if (!noAssert) checkOffset(offset, 8, this.length)\n return ieee754.read(this, offset, false, 52, 8)\n}\n\nfunction checkInt (buf, value, offset, ext, max, min) {\n if (!Buffer.isBuffer(buf)) throw new TypeError('\"buffer\" argument must be a Buffer instance')\n if (value > max || value < min) throw new RangeError('\"value\" argument is out of bounds')\n if (offset + ext > buf.length) throw new RangeError('Index out of range')\n}\n\nBuffer.prototype.writeUintLE =\nBuffer.prototype.writeUIntLE = function writeUIntLE (value, offset, byteLength, noAssert) {\n value = +value\n offset = offset >>> 0\n byteLength = byteLength >>> 0\n if (!noAssert) {\n const maxBytes = Math.pow(2, 8 * byteLength) - 1\n checkInt(this, value, offset, byteLength, maxBytes, 0)\n }\n\n let mul = 1\n let i = 0\n this[offset] = value & 0xFF\n while (++i < byteLength && (mul *= 0x100)) {\n this[offset + i] = (value / mul) & 0xFF\n }\n\n return offset + byteLength\n}\n\nBuffer.prototype.writeUintBE =\nBuffer.prototype.writeUIntBE = function writeUIntBE (value, offset, byteLength, noAssert) {\n value = +value\n offset = offset >>> 0\n byteLength = byteLength >>> 0\n if (!noAssert) {\n const maxBytes = Math.pow(2, 8 * byteLength) - 1\n checkInt(this, value, offset, byteLength, maxBytes, 0)\n }\n\n let i = byteLength - 1\n let mul = 1\n this[offset + i] = value & 0xFF\n while (--i >= 0 && (mul *= 0x100)) {\n this[offset + i] = (value / mul) & 0xFF\n }\n\n return offset + byteLength\n}\n\nBuffer.prototype.writeUint8 =\nBuffer.prototype.writeUInt8 = function writeUInt8 (value, offset, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) checkInt(this, value, offset, 1, 0xff, 0)\n this[offset] = (value & 0xff)\n return offset + 1\n}\n\nBuffer.prototype.writeUint16LE =\nBuffer.prototype.writeUInt16LE = function writeUInt16LE (value, offset, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n this[offset] = (value & 0xff)\n this[offset + 1] = (value >>> 8)\n return offset + 2\n}\n\nBuffer.prototype.writeUint16BE =\nBuffer.prototype.writeUInt16BE = function writeUInt16BE (value, offset, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n this[offset] = (value >>> 8)\n this[offset + 1] = (value & 0xff)\n return offset + 2\n}\n\nBuffer.prototype.writeUint32LE =\nBuffer.prototype.writeUInt32LE = function writeUInt32LE (value, offset, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n this[offset + 3] = (value >>> 24)\n this[offset + 2] = (value >>> 16)\n this[offset + 1] = (value >>> 8)\n this[offset] = (value & 0xff)\n return offset + 4\n}\n\nBuffer.prototype.writeUint32BE =\nBuffer.prototype.writeUInt32BE = function writeUInt32BE (value, offset, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n this[offset] = (value >>> 24)\n this[offset + 1] = (value >>> 16)\n this[offset + 2] = (value >>> 8)\n this[offset + 3] = (value & 0xff)\n return offset + 4\n}\n\nfunction wrtBigUInt64LE (buf, value, offset, min, max) {\n checkIntBI(value, min, max, buf, offset, 7)\n\n let lo = Number(value & BigInt(0xffffffff))\n buf[offset++] = lo\n lo = lo >> 8\n buf[offset++] = lo\n lo = lo >> 8\n buf[offset++] = lo\n lo = lo >> 8\n buf[offset++] = lo\n let hi = Number(value >> BigInt(32) & BigInt(0xffffffff))\n buf[offset++] = hi\n hi = hi >> 8\n buf[offset++] = hi\n hi = hi >> 8\n buf[offset++] = hi\n hi = hi >> 8\n buf[offset++] = hi\n return offset\n}\n\nfunction wrtBigUInt64BE (buf, value, offset, min, max) {\n checkIntBI(value, min, max, buf, offset, 7)\n\n let lo = Number(value & BigInt(0xffffffff))\n buf[offset + 7] = lo\n lo = lo >> 8\n buf[offset + 6] = lo\n lo = lo >> 8\n buf[offset + 5] = lo\n lo = lo >> 8\n buf[offset + 4] = lo\n let hi = Number(value >> BigInt(32) & BigInt(0xffffffff))\n buf[offset + 3] = hi\n hi = hi >> 8\n buf[offset + 2] = hi\n hi = hi >> 8\n buf[offset + 1] = hi\n hi = hi >> 8\n buf[offset] = hi\n return offset + 8\n}\n\nBuffer.prototype.writeBigUInt64LE = defineBigIntMethod(function writeBigUInt64LE (value, offset = 0) {\n return wrtBigUInt64LE(this, value, offset, BigInt(0), BigInt('0xffffffffffffffff'))\n})\n\nBuffer.prototype.writeBigUInt64BE = defineBigIntMethod(function writeBigUInt64BE (value, offset = 0) {\n return wrtBigUInt64BE(this, value, offset, BigInt(0), BigInt('0xffffffffffffffff'))\n})\n\nBuffer.prototype.writeIntLE = function writeIntLE (value, offset, byteLength, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) {\n const limit = Math.pow(2, (8 * byteLength) - 1)\n\n checkInt(this, value, offset, byteLength, limit - 1, -limit)\n }\n\n let i = 0\n let mul = 1\n let sub = 0\n this[offset] = value & 0xFF\n while (++i < byteLength && (mul *= 0x100)) {\n if (value < 0 && sub === 0 && this[offset + i - 1] !== 0) {\n sub = 1\n }\n this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n }\n\n return offset + byteLength\n}\n\nBuffer.prototype.writeIntBE = function writeIntBE (value, offset, byteLength, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) {\n const limit = Math.pow(2, (8 * byteLength) - 1)\n\n checkInt(this, value, offset, byteLength, limit - 1, -limit)\n }\n\n let i = byteLength - 1\n let mul = 1\n let sub = 0\n this[offset + i] = value & 0xFF\n while (--i >= 0 && (mul *= 0x100)) {\n if (value < 0 && sub === 0 && this[offset + i + 1] !== 0) {\n sub = 1\n }\n this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n }\n\n return offset + byteLength\n}\n\nBuffer.prototype.writeInt8 = function writeInt8 (value, offset, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) checkInt(this, value, offset, 1, 0x7f, -0x80)\n if (value < 0) value = 0xff + value + 1\n this[offset] = (value & 0xff)\n return offset + 1\n}\n\nBuffer.prototype.writeInt16LE = function writeInt16LE (value, offset, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n this[offset] = (value & 0xff)\n this[offset + 1] = (value >>> 8)\n return offset + 2\n}\n\nBuffer.prototype.writeInt16BE = function writeInt16BE (value, offset, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n this[offset] = (value >>> 8)\n this[offset + 1] = (value & 0xff)\n return offset + 2\n}\n\nBuffer.prototype.writeInt32LE = function writeInt32LE (value, offset, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n this[offset] = (value & 0xff)\n this[offset + 1] = (value >>> 8)\n this[offset + 2] = (value >>> 16)\n this[offset + 3] = (value >>> 24)\n return offset + 4\n}\n\nBuffer.prototype.writeInt32BE = function writeInt32BE (value, offset, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n if (value < 0) value = 0xffffffff + value + 1\n this[offset] = (value >>> 24)\n this[offset + 1] = (value >>> 16)\n this[offset + 2] = (value >>> 8)\n this[offset + 3] = (value & 0xff)\n return offset + 4\n}\n\nBuffer.prototype.writeBigInt64LE = defineBigIntMethod(function writeBigInt64LE (value, offset = 0) {\n return wrtBigUInt64LE(this, value, offset, -BigInt('0x8000000000000000'), BigInt('0x7fffffffffffffff'))\n})\n\nBuffer.prototype.writeBigInt64BE = defineBigIntMethod(function writeBigInt64BE (value, offset = 0) {\n return wrtBigUInt64BE(this, value, offset, -BigInt('0x8000000000000000'), BigInt('0x7fffffffffffffff'))\n})\n\nfunction checkIEEE754 (buf, value, offset, ext, max, min) {\n if (offset + ext > buf.length) throw new RangeError('Index out of range')\n if (offset < 0) throw new RangeError('Index out of range')\n}\n\nfunction writeFloat (buf, value, offset, littleEndian, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) {\n checkIEEE754(buf, value, offset, 4, 3.4028234663852886e+38, -3.4028234663852886e+38)\n }\n ieee754.write(buf, value, offset, littleEndian, 23, 4)\n return offset + 4\n}\n\nBuffer.prototype.writeFloatLE = function writeFloatLE (value, offset, noAssert) {\n return writeFloat(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeFloatBE = function writeFloatBE (value, offset, noAssert) {\n return writeFloat(this, value, offset, false, noAssert)\n}\n\nfunction writeDouble (buf, value, offset, littleEndian, noAssert) {\n value = +value\n offset = offset >>> 0\n if (!noAssert) {\n checkIEEE754(buf, value, offset, 8, 1.7976931348623157E+308, -1.7976931348623157E+308)\n }\n ieee754.write(buf, value, offset, littleEndian, 52, 8)\n return offset + 8\n}\n\nBuffer.prototype.writeDoubleLE = function writeDoubleLE (value, offset, noAssert) {\n return writeDouble(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeDoubleBE = function writeDoubleBE (value, offset, noAssert) {\n return writeDouble(this, value, offset, false, noAssert)\n}\n\n// copy(targetBuffer, targetStart=0, sourceStart=0, sourceEnd=buffer.length)\nBuffer.prototype.copy = function copy (target, targetStart, start, end) {\n if (!Buffer.isBuffer(target)) throw new TypeError('argument should be a Buffer')\n if (!start) start = 0\n if (!end && end !== 0) end = this.length\n if (targetStart >= target.length) targetStart = target.length\n if (!targetStart) targetStart = 0\n if (end > 0 && end < start) end = start\n\n // Copy 0 bytes; we're done\n if (end === start) return 0\n if (target.length === 0 || this.length === 0) return 0\n\n // Fatal error conditions\n if (targetStart < 0) {\n throw new RangeError('targetStart out of bounds')\n }\n if (start < 0 || start >= this.length) throw new RangeError('Index out of range')\n if (end < 0) throw new RangeError('sourceEnd out of bounds')\n\n // Are we oob?\n if (end > this.length) end = this.length\n if (target.length - targetStart < end - start) {\n end = target.length - targetStart + start\n }\n\n const len = end - start\n\n if (this === target && typeof Uint8Array.prototype.copyWithin === 'function') {\n // Use built-in when available, missing from IE11\n this.copyWithin(targetStart, start, end)\n } else {\n Uint8Array.prototype.set.call(\n target,\n this.subarray(start, end),\n targetStart\n )\n }\n\n return len\n}\n\n// Usage:\n// buffer.fill(number[, offset[, end]])\n// buffer.fill(buffer[, offset[, end]])\n// buffer.fill(string[, offset[, end]][, encoding])\nBuffer.prototype.fill = function fill (val, start, end, encoding) {\n // Handle string cases:\n if (typeof val === 'string') {\n if (typeof start === 'string') {\n encoding = start\n start = 0\n end = this.length\n } else if (typeof end === 'string') {\n encoding = end\n end = this.length\n }\n if (encoding !== undefined && typeof encoding !== 'string') {\n throw new TypeError('encoding must be a string')\n }\n if (typeof encoding === 'string' && !Buffer.isEncoding(encoding)) {\n throw new TypeError('Unknown encoding: ' + encoding)\n }\n if (val.length === 1) {\n const code = val.charCodeAt(0)\n if ((encoding === 'utf8' && code < 128) ||\n encoding === 'latin1') {\n // Fast path: If `val` fits into a single byte, use that numeric value.\n val = code\n }\n }\n } else if (typeof val === 'number') {\n val = val & 255\n } else if (typeof val === 'boolean') {\n val = Number(val)\n }\n\n // Invalid ranges are not set to a default, so can range check early.\n if (start < 0 || this.length < start || this.length < end) {\n throw new RangeError('Out of range index')\n }\n\n if (end <= start) {\n return this\n }\n\n start = start >>> 0\n end = end === undefined ? this.length : end >>> 0\n\n if (!val) val = 0\n\n let i\n if (typeof val === 'number') {\n for (i = start; i < end; ++i) {\n this[i] = val\n }\n } else {\n const bytes = Buffer.isBuffer(val)\n ? val\n : Buffer.from(val, encoding)\n const len = bytes.length\n if (len === 0) {\n throw new TypeError('The value \"' + val +\n '\" is invalid for argument \"value\"')\n }\n for (i = 0; i < end - start; ++i) {\n this[i + start] = bytes[i % len]\n }\n }\n\n return this\n}\n\n// CUSTOM ERRORS\n// =============\n\n// Simplified versions from Node, changed for Buffer-only usage\nconst errors = {}\nfunction E (sym, getMessage, Base) {\n errors[sym] = class NodeError extends Base {\n constructor () {\n super()\n\n Object.defineProperty(this, 'message', {\n value: getMessage.apply(this, arguments),\n writable: true,\n configurable: true\n })\n\n // Add the error code to the name to include it in the stack trace.\n this.name = `${this.name} [${sym}]`\n // Access the stack to generate the error message including the error code\n // from the name.\n this.stack // eslint-disable-line no-unused-expressions\n // Reset the name to the actual name.\n delete this.name\n }\n\n get code () {\n return sym\n }\n\n set code (value) {\n Object.defineProperty(this, 'code', {\n configurable: true,\n enumerable: true,\n value,\n writable: true\n })\n }\n\n toString () {\n return `${this.name} [${sym}]: ${this.message}`\n }\n }\n}\n\nE('ERR_BUFFER_OUT_OF_BOUNDS',\n function (name) {\n if (name) {\n return `${name} is outside of buffer bounds`\n }\n\n return 'Attempt to access memory outside buffer bounds'\n }, RangeError)\nE('ERR_INVALID_ARG_TYPE',\n function (name, actual) {\n return `The \"${name}\" argument must be of type number. Received type ${typeof actual}`\n }, TypeError)\nE('ERR_OUT_OF_RANGE',\n function (str, range, input) {\n let msg = `The value of \"${str}\" is out of range.`\n let received = input\n if (Number.isInteger(input) && Math.abs(input) > 2 ** 32) {\n received = addNumericalSeparator(String(input))\n } else if (typeof input === 'bigint') {\n received = String(input)\n if (input > BigInt(2) ** BigInt(32) || input < -(BigInt(2) ** BigInt(32))) {\n received = addNumericalSeparator(received)\n }\n received += 'n'\n }\n msg += ` It must be ${range}. Received ${received}`\n return msg\n }, RangeError)\n\nfunction addNumericalSeparator (val) {\n let res = ''\n let i = val.length\n const start = val[0] === '-' ? 1 : 0\n for (; i >= start + 4; i -= 3) {\n res = `_${val.slice(i - 3, i)}${res}`\n }\n return `${val.slice(0, i)}${res}`\n}\n\n// CHECK FUNCTIONS\n// ===============\n\nfunction checkBounds (buf, offset, byteLength) {\n validateNumber(offset, 'offset')\n if (buf[offset] === undefined || buf[offset + byteLength] === undefined) {\n boundsError(offset, buf.length - (byteLength + 1))\n }\n}\n\nfunction checkIntBI (value, min, max, buf, offset, byteLength) {\n if (value > max || value < min) {\n const n = typeof min === 'bigint' ? 'n' : ''\n let range\n if (byteLength > 3) {\n if (min === 0 || min === BigInt(0)) {\n range = `>= 0${n} and < 2${n} ** ${(byteLength + 1) * 8}${n}`\n } else {\n range = `>= -(2${n} ** ${(byteLength + 1) * 8 - 1}${n}) and < 2 ** ` +\n `${(byteLength + 1) * 8 - 1}${n}`\n }\n } else {\n range = `>= ${min}${n} and <= ${max}${n}`\n }\n throw new errors.ERR_OUT_OF_RANGE('value', range, value)\n }\n checkBounds(buf, offset, byteLength)\n}\n\nfunction validateNumber (value, name) {\n if (typeof value !== 'number') {\n throw new errors.ERR_INVALID_ARG_TYPE(name, 'number', value)\n }\n}\n\nfunction boundsError (value, length, type) {\n if (Math.floor(value) !== value) {\n validateNumber(value, type)\n throw new errors.ERR_OUT_OF_RANGE(type || 'offset', 'an integer', value)\n }\n\n if (length < 0) {\n throw new errors.ERR_BUFFER_OUT_OF_BOUNDS()\n }\n\n throw new errors.ERR_OUT_OF_RANGE(type || 'offset',\n `>= ${type ? 1 : 0} and <= ${length}`,\n value)\n}\n\n// HELPER FUNCTIONS\n// ================\n\nconst INVALID_BASE64_RE = /[^+/0-9A-Za-z-_]/g\n\nfunction base64clean (str) {\n // Node takes equal signs as end of the Base64 encoding\n str = str.split('=')[0]\n // Node strips out invalid characters like \\n and \\t from the string, base64-js does not\n str = str.trim().replace(INVALID_BASE64_RE, '')\n // Node converts strings with length < 2 to ''\n if (str.length < 2) return ''\n // Node allows for non-padded base64 strings (missing trailing ===), base64-js does not\n while (str.length % 4 !== 0) {\n str = str + '='\n }\n return str\n}\n\nfunction utf8ToBytes (string, units) {\n units = units || Infinity\n let codePoint\n const length = string.length\n let leadSurrogate = null\n const bytes = []\n\n for (let i = 0; i < length; ++i) {\n codePoint = string.charCodeAt(i)\n\n // is surrogate component\n if (codePoint > 0xD7FF && codePoint < 0xE000) {\n // last char was a lead\n if (!leadSurrogate) {\n // no lead yet\n if (codePoint > 0xDBFF) {\n // unexpected trail\n if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n continue\n } else if (i + 1 === length) {\n // unpaired lead\n if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n continue\n }\n\n // valid lead\n leadSurrogate = codePoint\n\n continue\n }\n\n // 2 leads in a row\n if (codePoint < 0xDC00) {\n if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n leadSurrogate = codePoint\n continue\n }\n\n // valid surrogate pair\n codePoint = (leadSurrogate - 0xD800 << 10 | codePoint - 0xDC00) + 0x10000\n } else if (leadSurrogate) {\n // valid bmp char, but last char was a lead\n if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n }\n\n leadSurrogate = null\n\n // encode utf8\n if (codePoint < 0x80) {\n if ((units -= 1) < 0) break\n bytes.push(codePoint)\n } else if (codePoint < 0x800) {\n if ((units -= 2) < 0) break\n bytes.push(\n codePoint >> 0x6 | 0xC0,\n codePoint & 0x3F | 0x80\n )\n } else if (codePoint < 0x10000) {\n if ((units -= 3) < 0) break\n bytes.push(\n codePoint >> 0xC | 0xE0,\n codePoint >> 0x6 & 0x3F | 0x80,\n codePoint & 0x3F | 0x80\n )\n } else if (codePoint < 0x110000) {\n if ((units -= 4) < 0) break\n bytes.push(\n codePoint >> 0x12 | 0xF0,\n codePoint >> 0xC & 0x3F | 0x80,\n codePoint >> 0x6 & 0x3F | 0x80,\n codePoint & 0x3F | 0x80\n )\n } else {\n throw new Error('Invalid code point')\n }\n }\n\n return bytes\n}\n\nfunction asciiToBytes (str) {\n const byteArray = []\n for (let i = 0; i < str.length; ++i) {\n // Node's code seems to be doing this and not & 0x7F..\n byteArray.push(str.charCodeAt(i) & 0xFF)\n }\n return byteArray\n}\n\nfunction utf16leToBytes (str, units) {\n let c, hi, lo\n const byteArray = []\n for (let i = 0; i < str.length; ++i) {\n if ((units -= 2) < 0) break\n\n c = str.charCodeAt(i)\n hi = c >> 8\n lo = c % 256\n byteArray.push(lo)\n byteArray.push(hi)\n }\n\n return byteArray\n}\n\nfunction base64ToBytes (str) {\n return base64.toByteArray(base64clean(str))\n}\n\nfunction blitBuffer (src, dst, offset, length) {\n let i\n for (i = 0; i < length; ++i) {\n if ((i + offset >= dst.length) || (i >= src.length)) break\n dst[i + offset] = src[i]\n }\n return i\n}\n\n// ArrayBuffer or Uint8Array objects from other contexts (i.e. iframes) do not pass\n// the `instanceof` check but they should be treated as of that type.\n// See: https://github.com/feross/buffer/issues/166\nfunction isInstance (obj, type) {\n return obj instanceof type ||\n (obj != null && obj.constructor != null && obj.constructor.name != null &&\n obj.constructor.name === type.name)\n}\nfunction numberIsNaN (obj) {\n // For IE11 support\n return obj !== obj // eslint-disable-line no-self-compare\n}\n\n// Create lookup table for `toString('hex')`\n// See: https://github.com/feross/buffer/issues/219\nconst hexSliceLookupTable = (function () {\n const alphabet = '0123456789abcdef'\n const table = new Array(256)\n for (let i = 0; i < 16; ++i) {\n const i16 = i * 16\n for (let j = 0; j < 16; ++j) {\n table[i16 + j] = alphabet[i] + alphabet[j]\n }\n }\n return table\n})()\n\n// Return not function with Error if BigInt not supported\nfunction defineBigIntMethod (fn) {\n return typeof BigInt === 'undefined' ? BufferBigIntNotDefined : fn\n}\n\nfunction BufferBigIntNotDefined () {\n throw new Error('BigInt not supported')\n}\n", "import { Buffer } from 'buffer';\nimport { FIT } from './fit.js';\nimport { getFitMessage, getFitMessageBaseType } from './messages.js';\nconst CompressedLocalMsgNumMask = 0x60;\nconst CompressedHeaderMask = 0x80;\nconst GarminTimeOffset = 631065600000;\nlet monitoring_timestamp = 0;\nexport function addEndian(littleEndian, bytes) {\n let result = 0;\n if (!littleEndian)\n bytes.reverse();\n for (let i = 0; i < bytes.length; i++) {\n result += (bytes[i] << (i << 3)) >>> 0;\n }\n return result;\n}\nfunction readData(blob, fDef, startIndex, options) {\n if (fDef.type === 'uint8_array') {\n const array8 = [];\n for (let i = 0; i < fDef.size; i++) {\n array8.push(blob[startIndex + i]);\n }\n return array8;\n }\n if (fDef.endianAbility) {\n const temp = [];\n for (let i = 0; i < fDef.size; i++) {\n temp.push(blob[startIndex + i]);\n }\n const { buffer } = new Uint8Array(temp);\n const dataView = new DataView(buffer);\n try {\n switch (fDef.type) {\n case 'sint16':\n return dataView.getInt16(0, fDef.littleEndian);\n case 'uint16':\n case 'uint16z':\n return dataView.getUint16(0, fDef.littleEndian);\n case 'sint32':\n return dataView.getInt32(0, fDef.littleEndian);\n case 'uint32':\n case 'uint32z':\n return dataView.getUint32(0, fDef.littleEndian);\n case 'float32':\n return dataView.getFloat32(0, fDef.littleEndian);\n case 'float64':\n return dataView.getFloat64(0, fDef.littleEndian);\n case 'uint32_array': {\n const array32 = [];\n for (let i = 0; i < fDef.size; i += 4) {\n array32.push(dataView.getUint32(i, fDef.littleEndian));\n }\n return array32;\n }\n case 'uint16_array': {\n const array16 = [];\n for (let i = 0; i < fDef.size; i += 2) {\n array16.push(dataView.getUint16(i, fDef.littleEndian));\n }\n return array16;\n }\n }\n }\n catch (e) {\n if (!options.force) {\n throw e;\n }\n }\n return addEndian(fDef.littleEndian, temp);\n }\n if (fDef.type === 'string') {\n const temp = [];\n for (let i = 0; i < fDef.size; i++) {\n if (blob[startIndex + i]) {\n temp.push(blob[startIndex + i]);\n }\n }\n return Buffer.from(temp).toString('utf-8');\n }\n if (fDef.type === 'byte_array') {\n const temp = [];\n for (let i = 0; i < fDef.size; i++) {\n temp.push(blob[startIndex + i]);\n }\n return temp;\n }\n if (fDef.type === 'sint8') {\n const val = blob[startIndex];\n return val > 127 ? val - 256 : val;\n }\n return blob[startIndex];\n}\nfunction formatByType(data, type, scale, offset) {\n switch (type) {\n case 'date_time':\n case 'local_date_time':\n return new Date(data * 1000 + GarminTimeOffset);\n case 'sint32':\n return data * FIT.scConst;\n case 'uint8':\n case 'sint16':\n case 'uint32':\n case 'uint16':\n return scale ? data / scale + offset : data;\n case 'uint32_array':\n case 'uint16_array':\n case 'uint8_array':\n if (Array.isArray(data)) {\n const baseType = type.replace('_array', '');\n return data.map((dataItem) => {\n if (isInvalidValue(dataItem, baseType)) {\n return null;\n }\n return scale ? dataItem / scale + offset : dataItem;\n });\n }\n return scale ? data / scale + offset : data;\n default:\n {\n if (!FIT.types[type]) {\n return data;\n }\n // Quick check for a mask\n const values = [];\n for (const key in FIT.types[type]) {\n if (key in FIT.types[type]) {\n values.push(String(FIT.types[type][key]));\n }\n }\n if (!values.includes('mask')) {\n const typeMap = FIT.types[type];\n const mapped = typeMap[String(data)];\n return mapped === undefined ? data : mapped;\n }\n const dataItem = {};\n for (const key in FIT.types[type]) {\n if (key in FIT.types[type]) {\n if (FIT.types[type][key] === 'mask') {\n dataItem.value = data & Number(key);\n }\n else {\n dataItem[FIT.types[type][key]] = !!((data & Number(key)) >> 7); // Not sure if we need the >> 7 and casting to boolean but from all the masked props of fields so far this seems to be the case\n }\n }\n }\n return dataItem;\n }\n }\n}\nfunction isInvalidValue(data, type) {\n switch (type) {\n case 'enum':\n return data === 0xFF;\n case 'sint8':\n return data === 0x7F;\n case 'uint8':\n return data === 0xFF;\n case 'sint16':\n return data === 0x7FFF;\n case 'uint16':\n return data === 0xFFFF;\n case 'sint32':\n return data === 0x7FFFFFFF;\n case 'uint32':\n return data === 0xFFFFFFFF;\n case 'string':\n return data === 0x00;\n case 'float32':\n return data === 0xFFFFFFFF;\n case 'float64':\n // eslint-disable-next-line no-loss-of-precision\n return data === 0xFFFFFFFFFFFFFFFF;\n case 'uint8z':\n return data === 0x00;\n case 'uint16z':\n return data === 0x0000;\n case 'uint32z':\n return data === 0x000000;\n case 'byte':\n return data === 0xFF;\n case 'sint64':\n // eslint-disable-next-line no-loss-of-precision\n return data === 0x7FFFFFFFFFFFFFFF;\n case 'uint64':\n // eslint-disable-next-line no-loss-of-precision\n return data === 0xFFFFFFFFFFFFFFFF;\n case 'uint64z':\n return data === 0x0000000000000000;\n default:\n return false;\n }\n}\nfunction convertTo(data, unitsList, unitName) {\n const options = FIT.options[unitsList];\n const unit = options[unitName];\n return unit ? data * unit.multiplier + unit.offset : data;\n}\nfunction applyOptions(data, field, options, fields) {\n switch (field) {\n case 'device_type': {\n const isLocal = fields.source_type === 'local' || fields.source_type === 5;\n const isBLE = fields.source_type === 'bluetooth_low_energy' || fields.source_type === 3 || fields.source_type === 'bluetooth' || fields.source_type === 2;\n const isANT = fields.source_type === 'antplus' || fields.source_type === 1 || fields.source_type === 'ant' || fields.source_type === 0;\n if (isLocal) {\n return FIT.types.local_device_type[data] || data;\n }\n if (isBLE) {\n return FIT.types.ble_device_type[data] || data;\n }\n if (isANT) {\n return FIT.types.antplus_device_type[data] || data;\n }\n return data;\n }\n case 'speed':\n case 'enhanced_speed':\n case 'vertical_speed':\n case 'avg_speed':\n case 'max_speed':\n case 'speed_1s':\n case 'ball_speed':\n case 'enhanced_avg_speed':\n case 'enhanced_max_speed':\n case 'avg_pos_vertical_speed':\n case 'max_pos_vertical_speed':\n case 'avg_neg_vertical_speed':\n case 'max_neg_vertical_speed':\n return convertTo(data, 'speedUnits', options.speedUnit);\n case 'distance':\n case 'total_distance':\n case 'enhanced_avg_altitude':\n case 'enhanced_min_altitude':\n case 'enhanced_max_altitude':\n case 'enhanced_altitude':\n case 'height':\n case 'odometer':\n case 'avg_stroke_distance':\n case 'min_altitude':\n case 'avg_altitude':\n case 'max_altitude':\n case 'total_ascent':\n case 'total_descent':\n case 'altitude':\n case 'cycle_length':\n case 'auto_wheelsize':\n case 'custom_wheelsize':\n case 'gps_accuracy':\n return convertTo(data, 'lengthUnits', options.lengthUnit);\n case 'temperature':\n case 'avg_temperature':\n case 'max_temperature':\n return convertTo(data, 'temperatureUnits', options.temperatureUnit);\n case 'pressure':\n case 'start_pressure':\n case 'end_pressure':\n return convertTo(data, 'pressureUnits', options.pressureUnit);\n case 'ant_id': {\n const n1 = (data >>> 28) & 0xF;\n const n2 = (data >>> 24) & 0xF;\n const n3 = (data >>> 16) & 0xFF;\n const n4 = data & 0xFFFF;\n return `${n1.toString(16).toUpperCase()}-${n2.toString(16).toUpperCase()}-${n3.toString(16).toUpperCase().padStart(2, '0')}-${n4.toString(16).toUpperCase().padStart(4, '0')}`;\n }\n default:\n return data;\n }\n}\nexport function readRecord(blob, messageTypes, developerFields, startIndex, options, startDate, pausedTime) {\n const recordHeader = blob[startIndex];\n let localMessageType = recordHeader & 15;\n if ((recordHeader & CompressedHeaderMask) === CompressedHeaderMask) {\n // compressed timestamp\n localMessageType = (recordHeader & CompressedLocalMsgNumMask) >> 5;\n }\n else if ((recordHeader & 64) === 64) {\n // is definition message\n // startIndex + 1 is reserved\n const hasDeveloperData = (recordHeader & 32) === 32;\n const lEnd = blob[startIndex + 2] === 0;\n const numberOfFields = blob[startIndex + 5];\n const numberOfDeveloperDataFields = hasDeveloperData\n ? blob[startIndex + 5 + numberOfFields * 3 + 1]\n : 0;\n const mTypeDef = {\n littleEndian: lEnd,\n globalMessageNumber: addEndian(lEnd, [\n blob[startIndex + 3],\n blob[startIndex + 4],\n ]),\n numberOfFields: numberOfFields + numberOfDeveloperDataFields,\n fieldDefs: [],\n };\n const message = getFitMessage(mTypeDef.globalMessageNumber);\n for (let i = 0; i < numberOfFields; i++) {\n const fDefIndex = startIndex + 6 + i * 3;\n const baseType = blob[fDefIndex + 2];\n const { field, type } = message.getAttributes(blob[fDefIndex]);\n const fDef = {\n type,\n fDefNo: blob[fDefIndex],\n size: blob[fDefIndex + 1],\n endianAbility: (baseType & 128) === 128,\n littleEndian: lEnd,\n baseTypeNo: baseType & 15,\n name: field,\n dataType: getFitMessageBaseType(baseType & 15),\n };\n mTypeDef.fieldDefs.push(fDef);\n }\n // numberOfDeveloperDataFields = 0 so it wont crash here and wont loop\n for (let i = 0; i < numberOfDeveloperDataFields; i++) {\n // If we fail to parse then try catch\n try {\n const fDefIndex = startIndex + 6 + numberOfFields * 3 + 1 + i * 3;\n const fieldNum = blob[fDefIndex];\n const size = blob[fDefIndex + 1];\n const devDataIndex = blob[fDefIndex + 2];\n const devDef = developerFields[devDataIndex][fieldNum];\n const baseType = devDef.fit_base_type_id;\n const fDef = {\n type: FIT.types.fit_base_type[baseType],\n fDefNo: fieldNum,\n size,\n endianAbility: (baseType & 128) === 128,\n littleEndian: lEnd,\n baseTypeNo: baseType & 15,\n name: devDef.field_name,\n dataType: getFitMessageBaseType(baseType & 15),\n scale: devDef.scale || 1,\n offset: devDef.offset || 0,\n developerDataIndex: devDataIndex,\n isDeveloperField: true,\n };\n mTypeDef.fieldDefs.push(fDef);\n }\n catch (e) {\n if (options.force) {\n continue;\n }\n throw e;\n }\n }\n messageTypes[localMessageType] = mTypeDef;\n const nextIndex = startIndex + 6 + mTypeDef.numberOfFields * 3;\n const nextIndexWithDeveloperData = nextIndex + 1;\n return {\n messageType: 'definition',\n nextIndex: hasDeveloperData ? nextIndexWithDeveloperData : nextIndex,\n };\n }\n const messageType = messageTypes[localMessageType] || messageTypes[0];\n // TODO: handle compressed header ((recordHeader & 128) == 128)\n // uncompressed header\n let messageSize = 0;\n let readDataFromIndex = startIndex + 1;\n const fields = {};\n const message = getFitMessage(messageType.globalMessageNumber);\n const rawFields = [];\n for (let i = 0; i < messageType.fieldDefs.length; i++) {\n const fDef = messageType.fieldDefs[i];\n const data = readData(blob, fDef, readDataFromIndex, options);\n if (!isInvalidValue(data, fDef.type)) {\n rawFields.push({ fDef, data });\n }\n readDataFromIndex += fDef.size;\n messageSize += fDef.size;\n }\n for (const { fDef, data } of rawFields) {\n const { field } = fDef.isDeveloperField ? { field: fDef.name } : message.getAttributes(fDef.fDefNo);\n if (field !== 'unknown' && field !== '' && field !== undefined) {\n fields[field] = data;\n }\n }\n for (const { fDef, data } of rawFields) {\n if (fDef.isDeveloperField) {\n const field = fDef.name;\n const { type } = fDef;\n const { scale } = fDef;\n const { offset } = fDef;\n fields[fDef.name] = applyOptions(formatByType(data, type, scale, offset), field, options, fields);\n }\n else {\n const { field, type, scale, offset } = message.getAttributes(fDef.fDefNo);\n if (field !== 'unknown' && field !== '' && field !== undefined) {\n fields[field] = applyOptions(formatByType(data, type, scale, offset), field, options, fields);\n }\n }\n if (message.name === 'record' && options.elapsedRecordField) {\n fields.elapsed_time = (fields.timestamp - (startDate || 0)) / 1000;\n fields.timer_time = fields.elapsed_time - pausedTime;\n }\n }\n if (message.name === 'field_description') {\n developerFields[fields.developer_data_index]\n = developerFields[fields.developer_data_index] || [];\n developerFields[fields.developer_data_index][fields.field_definition_number] = fields;\n }\n if (message.name === 'monitoring') {\n // TODO weirdly uses global variables?\n // we need to keep the raw timestamp value so we can calculate subsequent timestamp16 fields\n if (fields.timestamp) {\n monitoring_timestamp = fields.timestamp;\n fields.timestamp = new Date(fields.timestamp * 1000 + GarminTimeOffset);\n }\n if (fields.timestamp16 && !fields.timestamp) {\n monitoring_timestamp\n += (fields.timestamp16 - (monitoring_timestamp & 0xFFFF)) & 0xFFFF;\n // fields.timestamp = monitoring_timestamp;\n fields.timestamp = new Date(monitoring_timestamp * 1000 + GarminTimeOffset);\n }\n }\n return {\n messageType: message.name,\n nextIndex: startIndex + messageSize + 1,\n message: fields,\n };\n}\nexport function getArrayBuffer(buffer) {\n if (buffer instanceof ArrayBuffer) {\n return buffer;\n }\n const ab = new ArrayBuffer(buffer.length);\n const view = new Uint8Array(ab);\n for (let i = 0; i < buffer.length; ++i) {\n view[i] = buffer[i];\n }\n return ab;\n}\nexport function calculateCRC(blob, start, end) {\n const crcTable = [\n 0x0000,\n 0xCC01,\n 0xD801,\n 0x1400,\n 0xF001,\n 0x3C00,\n 0x2800,\n 0xE401,\n 0xA001,\n 0x6C00,\n 0x7800,\n 0xB401,\n 0x5000,\n 0x9C01,\n 0x8801,\n 0x4400,\n ];\n let crc = 0;\n for (let i = start; i < end; i++) {\n const byteVal = blob[i];\n let tmp = crcTable[crc & 0xF];\n crc = (crc >> 4) & 0x0FFF;\n crc = crc ^ tmp ^ crcTable[byteVal & 0xF];\n tmp = crcTable[crc & 0xF];\n crc = (crc >> 4) & 0x0FFF;\n crc = crc ^ tmp ^ crcTable[(byteVal >> 4) & 0xF];\n }\n return crc;\n}\n", "const metersInOneKilometer = 1000;\nconst secondsInOneHour = 3600;\n// according to https://en.wikipedia.org/wiki/Mile\nconst metersInOneMile = 1609.344;\nconst centiBarsInOneBar = 100;\nconst psiInOneBar = 14.5037738;\n// TODO we dont have comprehensive output types bc its a bit cumbersome to maintain typescript types and this giant mapping object\n// which contains all the types and values\n// i would wish for some kind of inference mechanism here but for now we leave it as any\n// maybe zod could help here\nexport const FIT = {\n scConst: 180 / Math.pow(2, 31),\n options: {\n speedUnits: {\n // native speed unit: meters per second [m/s]\n 'm/s': {\n multiplier: 1,\n offset: 0,\n },\n // miles per hour [mph]\n 'mph': {\n multiplier: secondsInOneHour / metersInOneMile,\n offset: 0,\n },\n // kilometers per hour [km/h]\n 'km/h': {\n multiplier: secondsInOneHour / metersInOneKilometer,\n offset: 0,\n },\n },\n lengthUnits: {\n // native length unit: meters [m]\n m: {\n multiplier: 1,\n offset: 0,\n },\n // (international) mile [mi]\n mi: {\n multiplier: 1 / metersInOneMile,\n offset: 0,\n },\n // kilometer [km]\n km: {\n multiplier: 1 / metersInOneKilometer,\n offset: 0,\n },\n },\n temperatureUnits: {\n // native temperature unit: degree Celsius [\u00B0C]\n '\u00B0C': {\n multiplier: 1,\n offset: 0,\n },\n // kelvin [K]\n 'kelvin': {\n multiplier: 1,\n offset: -273.15,\n },\n // degree fahrenheit [\u00B0F]\n 'fahrenheit': {\n multiplier: 9 / 5,\n offset: 32,\n },\n },\n pressureUnits: {\n cbar: {\n multiplier: 1,\n offset: 0,\n },\n bar: {\n multiplier: 1 / centiBarsInOneBar,\n offset: 0,\n },\n psi: {\n multiplier: (1 / centiBarsInOneBar) * psiInOneBar,\n offset: 0,\n },\n },\n },\n messages: {\n 0: {\n name: 'file_id',\n 0: { field: 'type', type: 'file', scale: null, offset: 0, units: '' },\n 1: {\n field: 'manufacturer',\n type: 'manufacturer',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'product',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'serial_number',\n type: 'uint32z',\n scale: null,\n offset: 0,\n units: '',\n },\n 4: {\n field: 'time_created',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: '',\n },\n 5: { field: 'number', type: 'uint16', scale: null, offset: 0, units: '' },\n 8: {\n field: 'product_name',\n type: 'string',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 1: {\n name: 'capabilities',\n 0: {\n field: 'languages',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'sports',\n type: 'sport_bits_0',\n scale: null,\n offset: 0,\n units: '',\n },\n 21: {\n field: 'workouts_supported',\n type: 'workout_capabilities',\n scale: null,\n offset: 0,\n units: '',\n },\n 23: {\n field: 'connectivity_supported',\n type: 'connectivity_capabilities',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 2: {\n name: 'device_settings',\n 0: {\n field: 'active_time_zone',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'utc_offset',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'time_offset',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 's',\n },\n 5: {\n field: 'time_zone_offset',\n type: 'sint8',\n scale: 4,\n offset: 0,\n units: 'hr',\n },\n 55: {\n field: 'display_orientation',\n type: 'display_orientation',\n scale: null,\n offset: 0,\n units: '',\n },\n 56: {\n field: 'mounting_side',\n type: 'side',\n scale: null,\n offset: 0,\n units: '',\n },\n 94: {\n field: 'number_of_screens',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 95: {\n field: 'smart_notification_display_orientation',\n type: 'display_orientation',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 3: {\n name: 'user_profile',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: {\n field: 'friendly_name',\n type: 'string',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: { field: 'gender', type: 'gender', scale: null, offset: 0, units: '' },\n 2: {\n field: 'age',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'years',\n },\n 3: { field: 'height', type: 'uint8', scale: 100, offset: 0, units: 'm' },\n 4: { field: 'weight', type: 'uint16', scale: 10, offset: 0, units: 'kg' },\n 5: {\n field: 'language',\n type: 'language',\n scale: null,\n offset: 0,\n units: '',\n },\n 6: {\n field: 'elev_setting',\n type: 'display_measure',\n scale: null,\n offset: 0,\n units: '',\n },\n 7: {\n field: 'weight_setting',\n type: 'display_measure',\n scale: null,\n offset: 0,\n units: '',\n },\n 8: {\n field: 'resting_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 9: {\n field: 'default_max_running_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 10: {\n field: 'default_max_biking_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 11: {\n field: 'default_max_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 12: {\n field: 'hr_setting',\n type: 'display_heart',\n scale: null,\n offset: 0,\n units: '',\n },\n 13: {\n field: 'speed_setting',\n type: 'display_measure',\n scale: null,\n offset: 0,\n units: '',\n },\n 14: {\n field: 'dist_setting',\n type: 'display_measure',\n scale: null,\n offset: 0,\n units: '',\n },\n 16: {\n field: 'power_setting',\n type: 'display_power',\n scale: null,\n offset: 0,\n units: '',\n },\n 17: {\n field: 'activity_class',\n type: 'activity_class',\n scale: null,\n offset: 0,\n units: '',\n },\n 18: {\n field: 'position_setting',\n type: 'display_position',\n scale: null,\n offset: 0,\n units: '',\n },\n 21: {\n field: 'temperature_setting',\n type: 'display_measure',\n scale: null,\n offset: 0,\n units: '',\n },\n 22: {\n field: 'local_id',\n type: 'user_local_id',\n scale: null,\n offset: 0,\n units: '',\n },\n 23: {\n field: 'global_id',\n type: 'byte',\n scale: null,\n offset: 0,\n units: '',\n },\n 28: {\n field: 'wake_time',\n type: 'localtime_into_day',\n scale: null,\n offset: 0,\n units: '',\n },\n 29: {\n field: 'sleep_time',\n type: 'localtime_into_day',\n scale: null,\n offset: 0,\n units: '',\n },\n 30: {\n field: 'height_setting',\n type: 'display_measure',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 4: {\n name: 'hrm_profile',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: { field: 'enabled', type: 'bool', scale: null, offset: 0, units: '' },\n 1: {\n field: 'hrm_ant_id',\n type: 'uint16z',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: { field: 'log_hrv', type: 'bool', scale: null, offset: 0, units: '' },\n 3: {\n field: 'hrm_ant_id_trans_type',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 5: {\n name: 'sdm_profile',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: { field: 'enabled', type: 'bool', scale: null, offset: 0, units: '' },\n 1: {\n field: 'sdm_ant_id',\n type: 'uint16z',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'sdm_cal_factor',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: '%',\n },\n 3: {\n field: 'odometer',\n type: 'uint32',\n scale: 100,\n offset: 0,\n units: 'm',\n },\n 4: {\n field: 'speed_source',\n type: 'bool',\n scale: null,\n offset: 0,\n units: '',\n },\n 5: {\n field: 'sdm_ant_id_trans_type',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 7: {\n field: 'odometer_rollover',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 6: {\n name: 'bike_profile',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: { field: 'name', type: 'string', scale: null, offset: 0, units: '' },\n 1: { field: 'sport', type: 'sport', scale: null, offset: 0, units: '' },\n 2: {\n field: 'sub_sport',\n type: 'sub_sport',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'odometer',\n type: 'uint32',\n scale: 100,\n offset: 0,\n units: 'm',\n },\n 4: {\n field: 'bike_spd_ant_id',\n type: 'uint16z',\n scale: null,\n offset: 0,\n units: '',\n },\n 5: {\n field: 'bike_cad_ant_id',\n type: 'uint16z',\n scale: null,\n offset: 0,\n units: '',\n },\n 6: {\n field: 'bike_spdcad_ant_id',\n type: 'uint16z',\n scale: null,\n offset: 0,\n units: '',\n },\n 7: {\n field: 'bike_power_ant_id',\n type: 'uint16z',\n scale: null,\n offset: 0,\n units: '',\n },\n 8: {\n field: 'custom_wheelsize',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm',\n },\n 9: {\n field: 'auto_wheelsize',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm',\n },\n 10: {\n field: 'bike_weight',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'kg',\n },\n 11: {\n field: 'power_cal_factor',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: '%',\n },\n 12: {\n field: 'auto_wheel_cal',\n type: 'bool',\n scale: null,\n offset: 0,\n units: '',\n },\n 13: {\n field: 'auto_power_zero',\n type: 'bool',\n scale: null,\n offset: 0,\n units: '',\n },\n 14: { field: 'id', type: 'uint8', scale: null, offset: 0, units: '' },\n 15: {\n field: 'spd_enabled',\n type: 'bool',\n scale: null,\n offset: 0,\n units: '',\n },\n 16: {\n field: 'cad_enabled',\n type: 'bool',\n scale: null,\n offset: 0,\n units: '',\n },\n 17: {\n field: 'spdcad_enabled',\n type: 'bool',\n scale: null,\n offset: 0,\n units: '',\n },\n 18: {\n field: 'power_enabled',\n type: 'bool',\n scale: null,\n offset: 0,\n units: '',\n },\n 19: {\n field: 'crank_length',\n type: 'uint8',\n scale: 2,\n offset: -110,\n units: 'mm',\n },\n 20: { field: 'enabled', type: 'bool', scale: null, offset: 0, units: '' },\n 21: {\n field: 'bike_spd_ant_id_trans_type',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 22: {\n field: 'bike_cad_ant_id_trans_type',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 23: {\n field: 'bike_spdcad_ant_id_trans_type',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 24: {\n field: 'bike_power_ant_id_trans_type',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 37: {\n field: 'odometer_rollover',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 38: {\n field: 'front_gear_num',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 39: {\n field: 'front_gear',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 40: {\n field: 'rear_gear_num',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 41: {\n field: 'rear_gear',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 44: {\n field: 'shimano_di2_enabled',\n type: 'bool',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 7: {\n name: 'zones_target',\n 1: {\n field: 'max_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'threshold_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'functional_threshold_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 5: {\n field: 'hr_calc_type',\n type: 'hr_zone_calc',\n scale: null,\n offset: 0,\n units: '',\n },\n 7: {\n field: 'pwr_calc_type',\n type: 'pwr_zone_calc',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 8: {\n name: 'hr_zone',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'high_bpm',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 2: { field: 'name', type: 'string', scale: null, offset: 0, units: '' },\n },\n 9: {\n name: 'power_zone',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'high_value',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 2: { field: 'name', type: 'string', scale: null, offset: 0, units: '' },\n },\n 10: {\n name: 'met_zone',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'high_bpm',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'calories',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'kcal / min',\n },\n 3: {\n field: 'fat_calories',\n type: 'uint8',\n scale: 10,\n offset: 0,\n units: 'kcal / min',\n },\n },\n 12: {\n name: 'sport',\n 0: { field: 'sport', type: 'sport', scale: null, offset: 0, units: '' },\n 1: {\n field: 'sub_sport',\n type: 'sub_sport',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: { field: 'name', type: 'string', scale: null, offset: 0, units: '' },\n },\n 15: {\n name: 'goal',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: { field: 'sport', type: 'sport', scale: null, offset: 0, units: '' },\n 1: {\n field: 'sub_sport',\n type: 'sub_sport',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'start_date',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'end_date',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: '',\n },\n 4: { field: 'type', type: 'goal', scale: null, offset: 0, units: '' },\n 5: { field: 'value', type: 'uint32', scale: null, offset: 0, units: '' },\n 6: { field: 'repeat', type: 'bool', scale: null, offset: 0, units: '' },\n 7: {\n field: 'target_value',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 8: {\n field: 'recurrence',\n type: 'goal_recurrence',\n scale: null,\n offset: 0,\n units: '',\n },\n 9: {\n field: 'recurrence_value',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 10: { field: 'enabled', type: 'bool', scale: null, offset: 0, units: '' },\n },\n 18: {\n name: 'session',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 0: { field: 'event', type: 'event', scale: null, offset: 0, units: '' },\n 1: {\n field: 'event_type',\n type: 'event_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'start_time',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'start_position_lat',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 4: {\n field: 'start_position_long',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 5: { field: 'sport', type: 'sport', scale: null, offset: 0, units: '' },\n 6: {\n field: 'sub_sport',\n type: 'sub_sport',\n scale: null,\n offset: 0,\n units: '',\n },\n 7: {\n field: 'total_elapsed_time',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 8: {\n field: 'total_timer_time',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 9: {\n field: 'total_distance',\n type: 'uint32',\n scale: 100,\n offset: 0,\n units: 'm',\n },\n 10: {\n field: 'total_cycles',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'cycles',\n },\n 11: {\n field: 'total_calories',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'kcal',\n },\n 13: {\n field: 'total_fat_calories',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'kcal',\n },\n 14: {\n field: 'avg_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 15: {\n field: 'max_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 16: {\n field: 'avg_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 17: {\n field: 'max_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 18: {\n field: 'avg_cadence',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'rpm',\n },\n 19: {\n field: 'max_cadence',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'rpm',\n },\n 20: {\n field: 'avg_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 21: {\n field: 'max_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 22: {\n field: 'total_ascent',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 23: {\n field: 'total_descent',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 24: {\n field: 'total_training_effect',\n type: 'uint8',\n scale: 10,\n offset: 0,\n units: '',\n },\n 25: {\n field: 'first_lap_index',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 26: {\n field: 'num_laps',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 27: {\n field: 'event_group',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 28: {\n field: 'trigger',\n type: 'session_trigger',\n scale: null,\n offset: 0,\n units: '',\n },\n 29: {\n field: 'nec_lat',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 30: {\n field: 'nec_long',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 31: {\n field: 'swc_lat',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 32: {\n field: 'swc_long',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 34: {\n field: 'normalized_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 35: {\n field: 'training_stress_score',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'tss',\n },\n 36: {\n field: 'intensity_factor',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'if',\n },\n 37: {\n field: 'left_right_balance',\n type: 'left_right_balance_100',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 38: {\n field: 'end_position_lat',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 39: {\n field: 'end_position_long',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 41: {\n field: 'avg_stroke_count',\n type: 'uint32',\n scale: 10,\n offset: 0,\n units: 'strokes/lap',\n },\n 42: {\n field: 'avg_stroke_distance',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'm',\n },\n 43: {\n field: 'swim_stroke',\n type: 'swim_stroke',\n scale: null,\n offset: 0,\n units: 'swim_stroke',\n },\n 44: {\n field: 'pool_length',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'm',\n },\n 45: {\n field: 'threshold_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 46: {\n field: 'pool_length_unit',\n type: 'display_measure',\n scale: null,\n offset: 0,\n units: '',\n },\n 47: {\n field: 'num_active_lengths',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'lengths',\n },\n 48: {\n field: 'total_work',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'J',\n },\n 49: {\n field: 'avg_altitude',\n type: 'uint16',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 50: {\n field: 'max_altitude',\n type: 'uint16',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 51: {\n field: 'gps_accuracy',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 52: {\n field: 'avg_grade',\n type: 'sint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 53: {\n field: 'avg_pos_grade',\n type: 'sint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 54: {\n field: 'avg_neg_grade',\n type: 'sint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 55: {\n field: 'max_pos_grade',\n type: 'sint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 56: {\n field: 'max_neg_grade',\n type: 'sint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 57: {\n field: 'avg_temperature',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'C',\n },\n 58: {\n field: 'max_temperature',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'C',\n },\n 59: {\n field: 'total_moving_time',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 60: {\n field: 'avg_pos_vertical_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 61: {\n field: 'avg_neg_vertical_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 62: {\n field: 'max_pos_vertical_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 63: {\n field: 'max_neg_vertical_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 64: {\n field: 'min_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 65: {\n field: 'time_in_hr_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 66: {\n field: 'time_in_speed_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 67: {\n field: 'time_in_cadence_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 68: {\n field: 'time_in_power_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 69: {\n field: 'avg_lap_time',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 70: {\n field: 'best_lap_index',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 71: {\n field: 'min_altitude',\n type: 'uint16',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 82: {\n field: 'player_score',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 83: {\n field: 'opponent_score',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 84: {\n field: 'opponent_name',\n type: 'string',\n scale: null,\n offset: 0,\n units: '',\n },\n 85: {\n field: 'stroke_count',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'counts',\n },\n 86: {\n field: 'zone_count',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'counts',\n },\n 87: {\n field: 'max_ball_speed',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'm/s',\n },\n 88: {\n field: 'avg_ball_speed',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'm/s',\n },\n 89: {\n field: 'avg_vertical_oscillation',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'mm',\n },\n 90: {\n field: 'avg_stance_time_percent',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'percent',\n },\n 91: {\n field: 'avg_stance_time',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'ms',\n },\n 92: {\n field: 'avg_fractional_cadence',\n type: 'uint8',\n scale: 128,\n offset: 0,\n units: 'rpm',\n },\n 93: {\n field: 'max_fractional_cadence',\n type: 'uint8',\n scale: 128,\n offset: 0,\n units: 'rpm',\n },\n 94: {\n field: 'total_fractional_cycles',\n type: 'uint8',\n scale: 128,\n offset: 0,\n units: 'cycles',\n },\n 95: {\n field: 'avg_total_hemoglobin_conc',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'g/dL',\n },\n 96: {\n field: 'min_total_hemoglobin_conc',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'g/dL',\n },\n 97: {\n field: 'max_total_hemoglobin_conc',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'g/dL',\n },\n 98: {\n field: 'avg_saturated_hemoglobin_percent',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: '%',\n },\n 99: {\n field: 'min_saturated_hemoglobin_percent',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: '%',\n },\n 100: {\n field: 'max_saturated_hemoglobin_percent',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: '%',\n },\n 101: {\n field: 'avg_left_torque_effectiveness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 102: {\n field: 'avg_right_torque_effectiveness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 103: {\n field: 'avg_left_pedal_smoothness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 104: {\n field: 'avg_right_pedal_smoothness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 105: {\n field: 'avg_combined_pedal_smoothness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 111: {\n field: 'sport_index',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 112: {\n field: 'time_standing',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 113: {\n field: 'stand_count',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 114: {\n field: 'avg_left_pco',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'mm',\n },\n 115: {\n field: 'avg_right_pco',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'mm',\n },\n 116: {\n field: 'avg_left_power_phase',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 117: {\n field: 'avg_left_power_phase_peak',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 118: {\n field: 'avg_right_power_phase',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 119: {\n field: 'avg_right_power_phase_peak',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 120: {\n field: 'avg_power_position',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 121: {\n field: 'max_power_position',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 122: {\n field: 'avg_cadence_position',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'rpm',\n },\n 123: {\n field: 'max_cadence_position',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'rpm',\n },\n 124: {\n field: 'enhanced_avg_speed',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 125: {\n field: 'enhanced_max_speed',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 126: {\n field: 'enhanced_avg_altitude',\n type: 'uint32',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 127: {\n field: 'enhanced_min_altitude',\n type: 'uint32',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 128: {\n field: 'enhanced_max_altitude',\n type: 'uint32',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 129: {\n field: 'avg_lev_motor_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 130: {\n field: 'max_lev_motor_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 131: {\n field: 'lev_battery_consumption',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 132: {\n field: 'avg_vertical_ratio',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'percent',\n },\n 133: {\n field: 'avg_stance_time_balance',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'percent',\n },\n 134: {\n field: 'avg_step_length',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'mm',\n },\n 137: {\n field: 'total_anaerobic_training_effect',\n type: 'uint8',\n scale: 10,\n offset: 0,\n units: '',\n },\n 139: {\n field: 'avg_vam',\n type: 'uint16',\n scale: 1, // Raw 100 -> 100 (User specific m/h)\n offset: 0,\n units: 'm/h',\n },\n 192: {\n field: 'workout_feel',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 193: {\n field: 'workout_rpe',\n type: 'uint8',\n scale: 10,\n offset: 0,\n units: '',\n },\n 110: {\n field: 'sport_profile_name',\n type: 'string',\n scale: null,\n offset: 0,\n units: '',\n },\n 168: {\n field: 'training_load_peak',\n type: 'uint32',\n scale: 1,\n offset: 0,\n units: '',\n },\n 169: {\n field: 'enhanced_avg_respiration_rate',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'breaths/min',\n },\n 150: {\n field: 'min_temperature',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'C',\n },\n 170: {\n field: 'enhanced_max_respiration_rate',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'breaths/min',\n },\n 178: {\n field: 'est_sweat_loss',\n type: 'uint16',\n scale: 1, // ml\n offset: 0,\n units: 'ml',\n },\n 180: {\n field: 'enhanced_min_respiration_rate',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'breaths/min',\n },\n 181: {\n field: 'total_grit',\n type: 'float32',\n scale: 1,\n offset: 0,\n units: 'kGrit',\n },\n 182: {\n field: 'total_flow',\n type: 'float32',\n scale: 1,\n offset: 0,\n units: 'Flow',\n },\n 183: {\n field: 'jump_count',\n type: 'uint16',\n scale: 1,\n offset: 0,\n units: '',\n },\n 186: {\n field: 'avg_grit',\n type: 'float32',\n scale: 1,\n offset: 0,\n units: 'kGrit',\n },\n 187: {\n field: 'avg_flow',\n type: 'float32',\n scale: 1,\n offset: 0,\n units: 'Flow',\n },\n 188: {\n field: 'primary_benefit',\n type: 'uint8',\n scale: 1,\n offset: 0,\n units: '',\n },\n 196: {\n field: 'resting_calories',\n type: 'uint16',\n scale: 1,\n offset: 0,\n units: 'kcal',\n },\n 214: {\n field: 'avg_grit',\n type: 'float32',\n scale: null,\n offset: 0,\n units: '',\n },\n 215: {\n field: 'avg_flow',\n type: 'float32',\n scale: null,\n offset: 0,\n units: '',\n },\n 140: {\n field: 'recovery_advisor',\n type: 'uint16', // Minutes?\n scale: 1,\n offset: 0,\n units: 'min',\n },\n },\n 19: {\n name: 'lap',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 0: { field: 'event', type: 'event', scale: null, offset: 0, units: '' },\n 1: {\n field: 'event_type',\n type: 'event_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'start_time',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'start_position_lat',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 4: {\n field: 'start_position_long',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 5: {\n field: 'end_position_lat',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 6: {\n field: 'end_position_long',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 7: {\n field: 'total_elapsed_time',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 8: {\n field: 'total_timer_time',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 9: {\n field: 'total_distance',\n type: 'uint32',\n scale: 100,\n offset: 0,\n units: 'm',\n },\n 10: {\n field: 'total_cycles',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'cycles',\n },\n 11: {\n field: 'total_calories',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'kcal',\n },\n 12: {\n field: 'total_fat_calories',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'kcal',\n },\n 13: {\n field: 'avg_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 14: {\n field: 'max_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 15: {\n field: 'avg_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 16: {\n field: 'max_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 17: {\n field: 'avg_cadence',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'rpm',\n },\n 18: {\n field: 'max_cadence',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'rpm',\n },\n 19: {\n field: 'avg_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 20: {\n field: 'max_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 21: {\n field: 'total_ascent',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 22: {\n field: 'total_descent',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 23: {\n field: 'intensity',\n type: 'intensity',\n scale: null,\n offset: 0,\n units: '',\n },\n 24: {\n field: 'lap_trigger',\n type: 'lap_trigger',\n scale: null,\n offset: 0,\n units: '',\n },\n 25: { field: 'sport', type: 'sport', scale: null, offset: 0, units: '' },\n 26: {\n field: 'event_group',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 32: {\n field: 'num_lengths',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'lengths',\n },\n 33: {\n field: 'normalized_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 34: {\n field: 'left_right_balance',\n type: 'left_right_balance_100',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 35: {\n field: 'first_length_index',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 37: {\n field: 'avg_stroke_distance',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'm',\n },\n 38: {\n field: 'swim_stroke',\n type: 'swim_stroke',\n scale: null,\n offset: 0,\n units: '',\n },\n 39: {\n field: 'sub_sport',\n type: 'sub_sport',\n scale: null,\n offset: 0,\n units: '',\n },\n 40: {\n field: 'num_active_lengths',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'lengths',\n },\n 41: {\n field: 'total_work',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'J',\n },\n 42: {\n field: 'avg_altitude',\n type: 'uint16',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 43: {\n field: 'max_altitude',\n type: 'uint16',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 44: {\n field: 'gps_accuracy',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 45: {\n field: 'avg_grade',\n type: 'sint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 46: {\n field: 'avg_pos_grade',\n type: 'sint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 47: {\n field: 'avg_neg_grade',\n type: 'sint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 48: {\n field: 'max_pos_grade',\n type: 'sint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 49: {\n field: 'max_neg_grade',\n type: 'sint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 50: {\n field: 'avg_temperature',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'C',\n },\n 51: {\n field: 'max_temperature',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'C',\n },\n 52: {\n field: 'total_moving_time',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 53: {\n field: 'avg_pos_vertical_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 54: {\n field: 'avg_neg_vertical_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 55: {\n field: 'max_pos_vertical_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 56: {\n field: 'max_neg_vertical_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 57: {\n field: 'time_in_hr_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 58: {\n field: 'time_in_speed_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 59: {\n field: 'time_in_cadence_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 60: {\n field: 'time_in_power_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 61: {\n field: 'repetition_num',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 62: {\n field: 'min_altitude',\n type: 'uint16',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 63: {\n field: 'min_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 71: {\n field: 'wkt_step_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 74: {\n field: 'opponent_score',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 75: {\n field: 'stroke_count',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'counts',\n },\n 76: {\n field: 'zone_count',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'counts',\n },\n 77: {\n field: 'avg_vertical_oscillation',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'mm',\n },\n 78: {\n field: 'avg_stance_time_percent',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'percent',\n },\n 79: {\n field: 'avg_stance_time',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'ms',\n },\n 80: {\n field: 'avg_fractional_cadence',\n type: 'uint8',\n scale: 128,\n offset: 0,\n units: 'rpm',\n },\n 81: {\n field: 'max_fractional_cadence',\n type: 'uint8',\n scale: 128,\n offset: 0,\n units: 'rpm',\n },\n 82: {\n field: 'total_fractional_cycles',\n type: 'uint8',\n scale: 128,\n offset: 0,\n units: 'cycles',\n },\n 83: {\n field: 'player_score',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 84: {\n field: 'avg_total_hemoglobin_conc',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'g/dL',\n },\n 85: {\n field: 'min_total_hemoglobin_conc',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'g/dL',\n },\n 86: {\n field: 'max_total_hemoglobin_conc',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'g/dL',\n },\n 87: {\n field: 'avg_saturated_hemoglobin_percent',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: '%',\n },\n 88: {\n field: 'min_saturated_hemoglobin_percent',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: '%',\n },\n 89: {\n field: 'max_saturated_hemoglobin_percent',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: '%',\n },\n 91: {\n field: 'avg_left_torque_effectiveness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 92: {\n field: 'avg_right_torque_effectiveness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 93: {\n field: 'avg_left_pedal_smoothness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 94: {\n field: 'avg_right_pedal_smoothness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 95: {\n field: 'avg_combined_pedal_smoothness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 98: {\n field: 'time_standing',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 99: {\n field: 'stand_count',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 100: {\n field: 'avg_left_pco',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'mm',\n },\n 101: {\n field: 'avg_right_pco',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'mm',\n },\n 102: {\n field: 'avg_left_power_phase',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 103: {\n field: 'avg_left_power_phase_peak',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 104: {\n field: 'avg_right_power_phase',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 105: {\n field: 'avg_right_power_phase_peak',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 106: {\n field: 'avg_power_position',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 107: {\n field: 'max_power_position',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 108: {\n field: 'avg_cadence_position',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'rpm',\n },\n 109: {\n field: 'max_cadence_position',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'rpm',\n },\n 110: {\n field: 'enhanced_avg_speed',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 111: {\n field: 'enhanced_max_speed',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 112: {\n field: 'enhanced_avg_altitude',\n type: 'uint32',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 113: {\n field: 'enhanced_min_altitude',\n type: 'uint32',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 114: {\n field: 'enhanced_max_altitude',\n type: 'uint32',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 115: {\n field: 'avg_lev_motor_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 116: {\n field: 'max_lev_motor_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 117: {\n field: 'lev_battery_consumption',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 118: {\n field: 'avg_vertical_ratio',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'percent',\n },\n 119: {\n field: 'avg_stance_time_balance',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'percent',\n },\n 120: {\n field: 'avg_step_length',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'mm',\n },\n 121: {\n field: 'avg_vam',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n },\n 20: {\n name: 'record',\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 114: {\n field: 'grit',\n type: 'float32',\n scale: null,\n offset: 0,\n units: '',\n },\n 115: {\n field: 'flow',\n type: 'float32',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: {\n field: 'position_lat',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 1: {\n field: 'position_long',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 2: {\n field: 'altitude',\n type: 'uint16',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 3: {\n field: 'heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 4: {\n field: 'cadence',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'rpm',\n },\n 5: {\n field: 'distance',\n type: 'uint32',\n scale: 100,\n offset: 0,\n units: 'm',\n },\n 6: {\n field: 'speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 7: {\n field: 'power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 8: {\n field: 'compressed_speed_distance',\n type: 'byte',\n scale: 100.16,\n offset: 0,\n units: 'm/s,m',\n },\n 9: { field: 'grade', type: 'sint16', scale: 100, offset: 0, units: '%' },\n 10: {\n field: 'resistance',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 11: {\n field: 'time_from_course',\n type: 'sint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 12: {\n field: 'cycle_length',\n type: 'uint8',\n scale: 100,\n offset: 0,\n units: 'm',\n },\n 13: {\n field: 'temperature',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'C',\n },\n 17: {\n field: 'speed_1s',\n type: 'uint8',\n scale: 16,\n offset: 0,\n units: 'm/s',\n },\n 18: {\n field: 'cycles',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'cycles',\n },\n 19: {\n field: 'total_cycles',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'cycles',\n },\n 28: {\n field: 'compressed_accumulated_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 29: {\n field: 'accumulated_power',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 30: {\n field: 'left_right_balance',\n type: 'left_right_balance',\n scale: null,\n offset: 0,\n units: '',\n },\n 31: {\n field: 'gps_accuracy',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 32: {\n field: 'vertical_speed',\n type: 'sint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 33: {\n field: 'calories',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'kcal',\n },\n 39: {\n field: 'vertical_oscillation',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'mm',\n },\n 40: {\n field: 'stance_time_percent',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'percent',\n },\n 41: {\n field: 'stance_time',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'ms',\n },\n 42: {\n field: 'activity_type',\n type: 'activity_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 43: {\n field: 'left_torque_effectiveness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 44: {\n field: 'right_torque_effectiveness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 45: {\n field: 'left_pedal_smoothness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 46: {\n field: 'right_pedal_smoothness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 47: {\n field: 'combined_pedal_smoothness',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 48: {\n field: 'time128',\n type: 'uint8',\n scale: 128,\n offset: 0,\n units: 's',\n },\n 49: {\n field: 'stroke_type',\n type: 'stroke_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 50: { field: 'zone', type: 'uint8', scale: null, offset: 0, units: '' },\n 51: {\n field: 'ball_speed',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'm/s',\n },\n 52: {\n field: 'cadence256',\n type: 'uint16',\n scale: 256,\n offset: 0,\n units: 'rpm',\n },\n 53: {\n field: 'fractional_cadence',\n type: 'uint8',\n scale: 128,\n offset: 0,\n units: 'rpm',\n },\n 54: {\n field: 'total_hemoglobin_conc',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'g/dL',\n },\n 55: {\n field: 'total_hemoglobin_conc_min',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'g/dL',\n },\n 56: {\n field: 'total_hemoglobin_conc_max',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'g/dL',\n },\n 57: {\n field: 'saturated_hemoglobin_percent',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: '%',\n },\n 58: {\n field: 'saturated_hemoglobin_percent_min',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: '%',\n },\n 59: {\n field: 'saturated_hemoglobin_percent_max',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: '%',\n },\n 62: {\n field: 'device_index',\n type: 'device_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 67: {\n field: 'left_pco',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'mm',\n },\n 68: {\n field: 'right_pco',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: 'mm',\n },\n 69: {\n field: 'left_power_phase',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 70: {\n field: 'left_power_phase_peak',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 71: {\n field: 'right_power_phase',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 72: {\n field: 'right_power_phase_peak',\n type: 'uint8',\n scale: 0.7111111,\n offset: 0,\n units: 'degrees',\n },\n 73: {\n field: 'enhanced_speed',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 78: {\n field: 'enhanced_altitude',\n type: 'uint32',\n scale: 5,\n offset: -500,\n units: 'm',\n },\n 81: {\n field: 'battery_soc',\n type: 'uint8',\n scale: 2,\n offset: 0,\n units: 'percent',\n },\n 82: {\n field: 'motor_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 83: {\n field: 'vertical_ratio',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'percent',\n },\n 84: {\n field: 'stance_time_balance',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'percent',\n },\n 85: {\n field: 'step_length',\n type: 'uint16',\n scale: 10,\n offset: 0,\n units: 'mm',\n },\n 91: {\n field: 'absolute_pressure',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'Pa',\n },\n 92: {\n field: 'depth',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 93: {\n field: 'next_stop_depth',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 94: {\n field: 'next_stop_time',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 's',\n },\n 95: {\n field: 'time_to_surface',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 's',\n },\n 96: {\n field: 'ndl_time',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 's',\n },\n 97: {\n field: 'cns_load',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 98: {\n field: 'n2_load',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n },\n 285: {\n name: 'jump',\n 253: { field: 'timestamp', type: 'date_time', scale: null, offset: 0, units: 's' },\n 0: { field: 'distance', type: 'float32', scale: null, offset: 0, units: 'm' },\n 1: { field: 'height', type: 'float32', scale: null, offset: 0, units: 'm' },\n 2: { field: 'rotations', type: 'uint8', scale: null, offset: 0, units: '' },\n 3: { field: 'hang_time', type: 'float32', scale: null, offset: 0, units: 's' },\n 4: { field: 'score', type: 'float32', scale: null, offset: 0, units: '' },\n 5: { field: 'position_lat', type: 'sint32', scale: null, offset: 0, units: 'semicircles' },\n 6: { field: 'position_long', type: 'sint32', scale: null, offset: 0, units: 'semicircles' },\n 7: { field: 'speed', type: 'uint16', scale: 1000, offset: 0, units: 'm/s' },\n 8: { field: 'enhanced_speed', type: 'uint32', scale: 1000, offset: 0, units: 'm/s' },\n },\n 21: {\n name: 'event',\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 0: { field: 'event', type: 'event', scale: null, offset: 0, units: '' },\n 1: {\n field: 'event_type',\n type: 'event_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: { field: 'data16', type: 'uint16', scale: null, offset: 0, units: '' },\n 3: { field: 'data', type: 'uint32', scale: null, offset: 0, units: '' },\n 4: {\n field: 'event_group',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 7: { field: 'score', type: 'uint16', scale: null, offset: 0, units: '' },\n 8: {\n field: 'opponent_score',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 9: {\n field: 'front_gear_num',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 10: {\n field: 'front_gear',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 11: {\n field: 'rear_gear_num',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 12: {\n field: 'rear_gear',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 13: {\n field: 'device_index',\n type: 'device_index',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 23: {\n name: 'device_info',\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 0: {\n field: 'device_index',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'device_type',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'manufacturer',\n type: 'manufacturer',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'serial_number',\n type: 'uint32z',\n scale: null,\n offset: 0,\n units: '',\n },\n 4: {\n field: 'product',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 5: {\n field: 'software_version',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: '',\n },\n 6: {\n field: 'hardware_version',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 7: {\n field: 'cum_operating_time',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 's',\n },\n 10: {\n field: 'battery_voltage',\n type: 'uint16',\n scale: 256,\n offset: 0,\n units: 'V',\n },\n 32: {\n field: 'battery_level',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 11: {\n field: 'battery_status',\n type: 'battery_status',\n scale: null,\n offset: 0,\n units: '',\n },\n 18: {\n field: 'sensor_position',\n type: 'body_location',\n scale: null,\n offset: 0,\n units: '',\n },\n 19: {\n field: 'descriptor',\n type: 'string',\n scale: null,\n offset: 0,\n units: '',\n },\n 20: {\n field: 'ant_transmission_type',\n type: 'uint8z',\n scale: null,\n offset: 0,\n units: '',\n },\n 21: {\n field: 'ant_device_number',\n type: 'uint16z',\n scale: null,\n offset: 0,\n units: '',\n },\n 22: {\n field: 'ant_network',\n type: 'ant_network',\n scale: null,\n offset: 0,\n units: '',\n },\n 24: {\n field: 'ant_id',\n type: 'uint32z',\n scale: null,\n offset: 0,\n units: '',\n },\n 25: {\n field: 'source_type',\n type: 'source_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 27: {\n field: 'product_name',\n type: 'string',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 26: {\n name: 'workout',\n 4: { field: 'sport', type: 'sport', scale: null, offset: 0, units: '' },\n 5: {\n field: 'capabilities',\n type: 'workout_capabilities',\n scale: null,\n offset: 0,\n units: '',\n },\n 6: {\n field: 'num_valid_steps',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 8: {\n field: 'wkt_name',\n type: 'string',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 27: {\n name: 'workout_step',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: {\n field: 'wkt_step_name',\n type: 'string',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'duration_type',\n type: 'wkt_step_duration',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'duration_value',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'target_type',\n type: 'wkt_step_target',\n scale: null,\n offset: 0,\n units: '',\n },\n 4: {\n field: 'target_value',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 5: {\n field: 'custom_target_value_low',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 6: {\n field: 'custom_target_value_high',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 7: {\n field: 'intensity',\n type: 'intensity',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 30: {\n name: 'weight_scale',\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 0: {\n field: 'weight',\n type: 'weight',\n scale: 100,\n offset: 0,\n units: 'kg',\n },\n 1: {\n field: 'percent_fat',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 2: {\n field: 'percent_hydration',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: '%',\n },\n 3: {\n field: 'visceral_fat_mass',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'kg',\n },\n 4: {\n field: 'bone_mass',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'kg',\n },\n 5: {\n field: 'muscle_mass',\n type: 'uint16',\n scale: 100,\n offset: 0,\n units: 'kg',\n },\n 7: {\n field: 'basal_met',\n type: 'uint16',\n scale: 4,\n offset: 0,\n units: 'kcal/day',\n },\n 8: {\n field: 'physique_rating',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 9: {\n field: 'active_met',\n type: 'uint16',\n scale: 4,\n offset: 0,\n units: 'kcal/day',\n },\n 10: {\n field: 'metabolic_age',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'years',\n },\n 11: {\n field: 'visceral_fat_rating',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 12: {\n field: 'user_profile_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 31: {\n name: 'course',\n 4: { field: 'sport', type: 'sport', scale: null, offset: 0, units: '' },\n 5: { field: 'name', type: 'string', scale: null, offset: 0, units: '' },\n 6: {\n field: 'capabilities',\n type: 'course_capabilities',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 32: {\n name: 'course_point',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'position_lat',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 3: {\n field: 'position_long',\n type: 'sint32',\n scale: null,\n offset: 0,\n units: 'semicircles',\n },\n 4: {\n field: 'distance',\n type: 'uint32',\n scale: 100,\n offset: 0,\n units: 'm',\n },\n 5: {\n field: 'type',\n type: 'course_point',\n scale: null,\n offset: 0,\n units: '',\n },\n 6: { field: 'name', type: 'string', scale: null, offset: 0, units: '' },\n 8: { field: 'favorite', type: 'bool', scale: null, offset: 0, units: '' },\n },\n 33: {\n name: 'totals',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 0: {\n field: 'timer_time',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 's',\n },\n 1: {\n field: 'distance',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 2: {\n field: 'calories',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'kcal',\n },\n 3: { field: 'sport', type: 'sport', scale: null, offset: 0, units: '' },\n 4: {\n field: 'elapsed_time',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 's',\n },\n 5: {\n field: 'sessions',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 6: {\n field: 'active_time',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 's',\n },\n 9: {\n field: 'sport_index',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 34: {\n name: 'activity',\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: {\n field: 'total_timer_time',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 1: {\n field: 'num_sessions',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: { field: 'type', type: 'activity', scale: null, offset: 0, units: '' },\n 3: { field: 'event', type: 'event', scale: null, offset: 0, units: '' },\n 4: {\n field: 'event_type',\n type: 'event_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 5: {\n field: 'local_timestamp',\n type: 'local_date_time',\n scale: null,\n offset: 0,\n units: '',\n },\n 6: {\n field: 'event_group',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 35: {\n name: 'software',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: { field: 'version', type: 'uint16', scale: 100, offset: 0, units: '' },\n 5: {\n field: 'part_number',\n type: 'string',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 37: {\n name: 'file_capabilities',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: { field: 'type', type: 'file', scale: null, offset: 0, units: '' },\n 1: {\n field: 'flags',\n type: 'file_flags',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'directory',\n type: 'string',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'max_count',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 4: {\n field: 'max_size',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'bytes',\n },\n },\n 38: {\n name: 'mesg_capabilities',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: { field: 'file', type: 'file', scale: null, offset: 0, units: '' },\n 1: {\n field: 'mesg_num',\n type: 'mesg_num',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'count_type',\n type: 'mesg_count',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: { field: 'count', type: 'uint16', scale: null, offset: 0, units: '' },\n },\n 39: {\n name: 'field_capabilities',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: { field: 'file', type: 'file', scale: null, offset: 0, units: '' },\n 1: {\n field: 'mesg_num',\n type: 'mesg_num',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'field_num',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: { field: 'count', type: 'uint16', scale: null, offset: 0, units: '' },\n },\n 49: {\n name: 'file_creator',\n 0: {\n field: 'software_version',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'hardware_version',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 51: {\n name: 'blood_pressure',\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 0: {\n field: 'systolic_pressure',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'mmHg',\n },\n 1: {\n field: 'diastolic_pressure',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'mmHg',\n },\n 2: {\n field: 'mean_arterial_pressure',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'mmHg',\n },\n 3: {\n field: 'map_3_sample_mean',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'mmHg',\n },\n 4: {\n field: 'map_morning_values',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'mmHg',\n },\n 5: {\n field: 'map_evening_values',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'mmHg',\n },\n 6: {\n field: 'heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 7: {\n field: 'heart_rate_type',\n type: 'hr_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 8: {\n field: 'status',\n type: 'bp_status',\n scale: null,\n offset: 0,\n units: '',\n },\n 9: {\n field: 'user_profile_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 55: {\n name: 'monitoring',\n 253: {\n field: 'timestamp',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: {\n field: 'device_index',\n type: 'device_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'calories',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'kcal',\n },\n 2: {\n field: 'distance',\n type: 'float32',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 3: {\n field: 'cycles',\n type: 'float32',\n scale: null,\n offset: 0,\n units: 'cycles',\n },\n 4: {\n field: 'active_time',\n type: 'float32',\n scale: null,\n offset: 0,\n units: 's',\n },\n 5: {\n field: 'activity_type',\n type: 'activity_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 6: {\n field: 'activity_subtype',\n type: 'activity_subtype',\n scale: null,\n offset: 0,\n units: '',\n },\n 7: {\n field: 'activity_level',\n type: 'activity_level',\n scale: null,\n offset: 0,\n units: 's',\n },\n 8: {\n field: 'distance16',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 9: {\n field: 'cycles16',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'cycles',\n },\n 10: {\n field: 'active_time16',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 11: {\n field: 'local_timestamp',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 12: {\n field: 'temperature',\n type: 'float32',\n scale: null,\n offset: 0,\n units: 'C',\n },\n 14: {\n field: 'temperature_min',\n type: 'float32',\n scale: null,\n offset: 0,\n units: 'C',\n },\n 15: {\n field: 'temperature_max',\n type: 'float32',\n scale: null,\n offset: 0,\n units: 'C',\n },\n 16: {\n field: 'activity_time',\n type: 'int32',\n scale: null,\n offset: 0,\n units: '',\n },\n 19: {\n field: 'active_calories',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'kcal',\n },\n 24: {\n field: 'current_activity_type_intensity',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 25: {\n field: 'timestamp_min8',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 26: {\n field: 'timestamp16',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 27: {\n field: 'heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 28: {\n field: 'intensity',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 29: {\n field: 'duration_min',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 30: {\n field: 'duration',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 31: {\n field: 'ascent',\n type: 'float32',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 32: {\n field: 'descent',\n type: 'float32',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 33: {\n field: 'moderate_activity_minutes',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 34: {\n field: 'vigorous_activity_inutes',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 78: {\n name: 'hrv',\n 0: {\n field: 'time',\n type: 'uint16_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n },\n 101: {\n name: 'length',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 0: { field: 'event', type: 'event', scale: null, offset: 0, units: '' },\n 1: {\n field: 'event_type',\n type: 'event_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'start_time',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'total_elapsed_time',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 4: {\n field: 'total_timer_time',\n type: 'uint32',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 5: {\n field: 'total_strokes',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'strokes',\n },\n 6: {\n field: 'avg_speed',\n type: 'uint16',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 7: {\n field: 'swim_stroke',\n type: 'swim_stroke',\n scale: null,\n offset: 0,\n units: 'swim_stroke',\n },\n 9: {\n field: 'avg_swimming_cadence',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'strokes/min',\n },\n 10: {\n field: 'event_group',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 11: {\n field: 'total_calories',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'kcal',\n },\n 12: {\n field: 'length_type',\n type: 'length_type',\n scale: null,\n offset: 0,\n units: 'length_type',\n },\n 18: {\n field: 'player_score',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 19: {\n field: 'opponent_score',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 20: {\n field: 'stroke_count',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'counts',\n },\n 21: {\n field: 'zone_count',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'counts',\n },\n },\n 103: {\n name: 'monitoring_info',\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: {\n field: 'local_timestamp',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'activity_type',\n type: 'activity_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'cycles_to_distance',\n type: 'float32',\n scale: null,\n offset: 0,\n units: 'cycles',\n },\n 4: {\n field: 'cycles_to_calories',\n type: 'float32',\n scale: null,\n offset: 0,\n units: 'kcal',\n },\n 5: {\n field: 'resting_metabolic_rate',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 108: {\n name: 'o_hr_settings',\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: { field: 'enabled', type: 'byte', scale: null, offset: 0, units: '' },\n },\n 140: {\n name: 'activity_metrics',\n 1: {\n field: 'new_max_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 4: {\n field: 'aerobic_training_effect',\n type: 'uint8',\n scale: 10,\n offset: 0,\n units: '',\n },\n 7: {\n field: 'vo2_max',\n type: 'uint32',\n scale: 65536 / 3.5,\n offset: 0,\n units: 'ml/kg/min',\n },\n 9: {\n field: 'recovery_time',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'min',\n },\n 11: {\n field: 'sport',\n type: 'sport',\n scale: null,\n offset: 0,\n units: '',\n },\n 20: {\n field: 'anaerobic_training_effect',\n type: 'uint8',\n scale: 10,\n offset: 0,\n units: '',\n },\n 29: {\n field: 'first_vo2_max',\n type: 'uint32',\n scale: 65536 / 3.5,\n offset: 0,\n units: 'ml/kg/min',\n },\n 41: {\n field: 'primary_benefit',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 60: {\n field: 'total_ascent',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 61: {\n field: 'total_descent',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 62: {\n field: 'avg_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 63: {\n field: 'avg_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n },\n 206: {\n name: 'field_description',\n 0: {\n field: 'developer_data_index',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'field_definition_number',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'fit_base_type_id',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'field_name',\n type: 'string',\n scale: null,\n offset: 0,\n units: '',\n },\n // 4: { field: 'array', type: 'uint8', scale: null, offset: 0, units: '' },\n // 5: { field: 'components', type: 'string', scale: null, offset: 0, units: '' },\n 6: { field: 'scale', type: 'uint8', scale: null, offset: 0, units: '' },\n 7: { field: 'offset', type: 'sint8', scale: null, offset: 0, units: '' },\n 8: { field: 'units', type: 'string', scale: null, offset: 0, units: '' },\n // 9: { field: 'bits', type: 'string', scale: null, offset: 0, units: '' },\n // 10: { field: 'accumulate', type: 'string', scale: null, offset: 0, units: '' },\n // 13: { field: 'fit_base_unit_id', type: 'uint16', scale: null, offset: 0, units: '' },\n // 14: { field: 'native_mesg_num', type: 'mesg_num', scale: null, offset: 0, units: '' },\n 15: {\n field: 'native_field_num',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 227: {\n name: 'stress_level',\n 0: {\n field: 'stress_level_value',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'stress_level_time',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 2: {\n field: 'field_two',\n type: 'sint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'body_battery',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 4: {\n field: 'field_four',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 207: {\n name: 'developer_data_id',\n 0: {\n field: 'developer_id',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'application_id',\n type: 'byte_array',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'manufacturer_id',\n type: 'manufacturer',\n scale: null,\n offset: 0,\n units: '',\n },\n 3: {\n field: 'developer_data_index',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 4: {\n field: 'application_version',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 258: {\n name: 'dive_settings',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: { field: 'name', type: 'string', scale: null, offset: 0, units: '' },\n 1: {\n field: 'model',\n type: 'tissue_model_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'gf_low',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 3: {\n field: 'gf_high',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 4: {\n field: 'water_type',\n type: 'water_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 5: {\n field: 'water_density',\n type: 'float32',\n scale: null,\n offset: 0,\n units: 'kg/m^3',\n },\n 6: {\n field: 'po2_warn',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 7: {\n field: 'po2_critical',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 8: {\n field: 'po2_deco',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 9: {\n field: 'safety_stop_enabled',\n type: 'bool',\n scale: null,\n offset: 0,\n units: '',\n },\n 10: {\n field: 'bottom_depth',\n type: 'float32',\n scale: null,\n offset: 0,\n units: '',\n },\n 11: {\n field: 'bottom_time',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 12: {\n field: 'apnea_countdown_enabled',\n type: 'bool',\n scale: null,\n offset: 0,\n units: '',\n },\n 13: {\n field: 'apnea_countdown_time',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 14: {\n field: 'backlight_mode',\n type: 'dive_backlight_mode',\n scale: null,\n offset: 0,\n units: '',\n },\n 15: {\n field: 'backlight_brightness',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n 16: {\n field: 'backlight_timeout',\n type: 'backlight_timeout',\n scale: null,\n offset: 0,\n units: '',\n },\n 17: {\n field: 'repeat_dive_time',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 's',\n },\n 18: {\n field: 'safety_stop_time',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 's',\n },\n 19: {\n field: 'heart_rate_source_type',\n type: 'source_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 20: {\n field: 'heart_rate_source',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 259: {\n name: 'dive_gas',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: {\n field: 'helium_content',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 1: {\n field: 'oxygen_content',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 2: {\n field: 'status',\n type: 'dive_gas_status',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 262: {\n name: 'dive_alarm',\n 254: {\n field: 'message_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 0: { field: 'depth', type: 'uint32', scale: null, offset: 0, units: 'm' },\n 1: { field: 'time', type: 'sint32', scale: null, offset: 0, units: 's' },\n 2: { field: 'enabled', type: 'bool', scale: null, offset: 0, units: '' },\n 3: {\n field: 'alarm_type',\n type: 'dive_alarm_type',\n scale: null,\n offset: 0,\n units: '',\n },\n 4: { field: 'sound', type: 'tone', scale: null, offset: 0, units: '' },\n 5: {\n field: 'dive_types',\n type: 'sub_sport',\n scale: null,\n offset: 0,\n units: '',\n },\n },\n 268: {\n name: 'dive_summary',\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 0: {\n field: 'reference_mesg',\n type: 'mesg_num',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'reference_index',\n type: 'message_index',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'avg_depth',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 3: {\n field: 'max_depth',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 'm',\n },\n 4: {\n field: 'surface_interval',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 's',\n },\n 5: {\n field: 'start_cns',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 6: {\n field: 'end_cns',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 7: {\n field: 'start_n2',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 8: {\n field: 'end_n2',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'percent',\n },\n 9: {\n field: 'o2_toxicity',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'OTUs',\n },\n 10: {\n field: 'dive_number',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: '',\n },\n 11: {\n field: 'bottom_time',\n type: 'uint32',\n scale: null,\n offset: 0,\n units: 's',\n },\n },\n 319: {\n name: 'tank_update',\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 0: { field: 'sensor', type: 'uint32', scale: null, offset: 0, units: '' },\n 1: {\n field: 'pressure',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'cbar',\n },\n },\n 323: {\n name: 'tank_summary',\n 0: { field: 'sensor', type: 'uint32', scale: null, offset: 0, units: '' },\n 1: {\n field: 'start_pressure',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'cbar',\n },\n 2: {\n field: 'end_pressure',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'cbar',\n },\n 3: {\n field: 'volume_used',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'cbar',\n },\n },\n 216: {\n name: 'time_in_zone',\n 253: {\n field: 'timestamp',\n type: 'date_time',\n scale: null,\n offset: 0,\n units: 's',\n },\n 0: {\n field: 'reference_mesg',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 1: {\n field: 'reference_index',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: '',\n },\n 2: {\n field: 'time_in_hr_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 3: {\n field: 'time_in_speed_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 4: {\n field: 'time_in_power_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 5: {\n field: 'time_in_power_zone',\n type: 'uint32_array',\n scale: 1000,\n offset: 0,\n units: 's',\n },\n 6: {\n field: 'hr_zone_high_boundary',\n type: 'uint8_array',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 7: {\n field: 'speed_zone_high_boundary',\n type: 'uint16_array',\n scale: 1000,\n offset: 0,\n units: 'm/s',\n },\n 8: {\n field: 'power_zone_high_boundary',\n type: 'uint16_array',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 9: {\n field: 'power_zone_high_boundary',\n type: 'uint16_array',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n 10: {\n field: 'max_heart_rate_deprecated',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 11: {\n field: 'max_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 12: {\n field: 'resting_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 13: {\n field: 'threshold_heart_rate',\n type: 'uint8',\n scale: null,\n offset: 0,\n units: 'bpm',\n },\n 14: {\n field: 'pwr_calc_type',\n type: 'pwr_zone_calc',\n scale: null,\n offset: 0,\n units: '',\n },\n 15: {\n field: 'functional_threshold_power',\n type: 'uint16',\n scale: null,\n offset: 0,\n units: 'watts',\n },\n },\n },\n types: {\n file: {\n 1: 'device',\n 2: 'settings',\n 3: 'sport',\n 4: 'activity',\n 5: 'workout',\n 6: 'course',\n 7: 'schedules',\n 9: 'weight',\n 10: 'totals',\n 11: 'goals',\n 14: 'blood_pressure',\n 15: 'monitoring_a',\n 20: 'activity_summary',\n 28: 'monitoring_daily',\n 32: 'monitoring_b',\n 34: 'segment',\n 35: 'segment_list',\n 40: 'exd_configuration',\n 247: 'mfg_range_min',\n 254: 'mfg_range_max',\n },\n mesg_num: {\n 0: 'file_id',\n 1: 'capabilities',\n 2: 'device_settings',\n 3: 'user_profile',\n 4: 'hrm_profile',\n 5: 'sdm_profile',\n 6: 'bike_profile',\n 7: 'zones_target',\n 8: 'hr_zone',\n 9: 'power_zone',\n 10: 'met_zone',\n 12: 'sport',\n 15: 'goal',\n 18: 'session',\n 19: 'lap',\n 20: 'record',\n 21: 'event',\n 23: 'device_info',\n 26: 'workout',\n 27: 'workout_step',\n 28: 'schedule',\n 30: 'weight_scale',\n 31: 'course',\n 32: 'course_point',\n 33: 'totals',\n 34: 'activity',\n 35: 'software',\n 37: 'file_capabilities',\n 38: 'mesg_capabilities',\n 39: 'field_capabilities',\n 49: 'file_creator',\n 51: 'blood_pressure',\n 53: 'speed_zone',\n 55: 'monitoring',\n 72: 'training_file',\n 78: 'hrv',\n 80: 'ant_rx',\n 81: 'ant_tx',\n 82: 'ant_channel_id',\n 101: 'length',\n 103: 'monitoring_info',\n 105: 'pad',\n 106: 'slave_device',\n 127: 'connectivity',\n 128: 'weather_conditions',\n 129: 'weather_alert',\n 131: 'cadence_zone',\n 132: 'hr',\n 140: 'activity_metrics',\n 142: 'segment_lap',\n 145: 'memo_glob',\n 148: 'segment_id',\n 149: 'segment_leaderboard_entry',\n 150: 'segment_point',\n 151: 'segment_file',\n 158: 'workout_session',\n 159: 'watchface_settings',\n 160: 'gps_metadata',\n 161: 'camera_event',\n 162: 'timestamp_correlation',\n 164: 'gyroscope_data',\n 165: 'accelerometer_data',\n 167: 'three_d_sensor_calibration',\n 169: 'video_frame',\n 174: 'obdii_data',\n 177: 'nmea_sentence',\n 178: 'aviation_attitude',\n 184: 'video',\n 185: 'video_title',\n 186: 'video_description',\n 187: 'video_clip',\n 200: 'exd_screen_configuration',\n 201: 'exd_data_field_configuration',\n 202: 'exd_data_concept_configuration',\n 206: 'field_description',\n 207: 'developer_data_id',\n 208: 'magnetometer_data',\n 209: 'barometer_data',\n 210: 'one_d_sensor_calibration',\n 225: 'set',\n 227: 'stress_level',\n 258: 'dive_settings',\n 259: 'dive_gas',\n 262: 'dive_alarm',\n 264: 'exercise_title',\n 268: 'dive_summary',\n 285: 'jump',\n 317: 'climb_pro',\n 319: 'tank_update',\n 323: 'tank_summary',\n 216: 'time_in_zone',\n 347: 'o_hr_settings',\n 65280: 'mfg_range_min',\n 65534: 'mfg_range_max',\n },\n checksum: {\n 0: 'clear',\n 1: 'ok',\n },\n file_flags: {\n 0: 0,\n 2: 'read',\n 4: 'write',\n 8: 'erase',\n },\n mesg_count: {\n 0: 'num_per_file',\n 1: 'max_per_file',\n 2: 'max_per_file_type',\n },\n date_time: {\n 0: 0,\n 268435456: 'min',\n },\n local_date_time: {\n 0: 0,\n 268435456: 'min',\n },\n message_index: {\n 0: 0,\n 4095: 'mask',\n 28672: 'reserved',\n 32768: 'selected',\n },\n gender: {\n 0: 'female',\n 1: 'male',\n },\n language: {\n 0: 'english',\n 1: 'french',\n 2: 'italian',\n 3: 'german',\n 4: 'spanish',\n 5: 'croatian',\n 6: 'czech',\n 7: 'danish',\n 8: 'dutch',\n 9: 'finnish',\n 10: 'greek',\n 11: 'hungarian',\n 12: 'norwegian',\n 13: 'polish',\n 14: 'portuguese',\n 15: 'slovakian',\n 16: 'slovenian',\n 17: 'swedish',\n 18: 'russian',\n 19: 'turkish',\n 20: 'latvian',\n 21: 'ukrainian',\n 22: 'arabic',\n 23: 'farsi',\n 24: 'bulgarian',\n 25: 'romanian',\n 26: 'chinese',\n 27: 'japanese',\n 28: 'korean',\n 29: 'taiwanese',\n 30: 'thai',\n 31: 'hebrew',\n 32: 'brazilian_portuguese',\n 33: 'indonesian',\n 34: 'malaysian',\n 35: 'vietnamese',\n 36: 'burmese',\n 37: 'mongolian',\n 254: 'custom',\n },\n language_bits_0: {\n 0: 0,\n 1: 'english',\n 2: 'french',\n 4: 'italian',\n 8: 'german',\n 16: 'spanish',\n 32: 'croatian',\n 64: 'czech',\n 128: 'danish',\n },\n language_bits_1: {\n 0: 0,\n 1: 'dutch',\n 2: 'finnish',\n 4: 'greek',\n 8: 'hungarian',\n 16: 'norwegian',\n 32: 'polish',\n 64: 'portuguese',\n 128: 'slovakian',\n },\n language_bits_2: {\n 0: 0,\n 1: 'slovenian',\n 2: 'swedish',\n 4: 'russian',\n 8: 'turkish',\n 16: 'latvian',\n 32: 'ukrainian',\n 64: 'arabic',\n 128: 'farsi',\n },\n language_bits_3: {\n 0: 0,\n 1: 'bulgarian',\n 2: 'romanian',\n 4: 'chinese',\n 8: 'japanese',\n 16: 'korean',\n 32: 'taiwanese',\n 64: 'thai',\n 128: 'hebrew',\n },\n language_bits_4: {\n 0: 0,\n 1: 'brazilian_portuguese',\n 2: 'indonesian',\n 4: 'malaysian',\n 8: 'vietnamese',\n 16: 'burmese',\n 32: 'mongolian',\n },\n time_zone: {\n 0: 'almaty',\n 1: 'bangkok',\n 2: 'bombay',\n 3: 'brasilia',\n 4: 'cairo',\n 5: 'cape_verde_is',\n 6: 'darwin',\n 7: 'eniwetok',\n 8: 'fiji',\n 9: 'hong_kong',\n 10: 'islamabad',\n 11: 'kabul',\n 12: 'magadan',\n 13: 'mid_atlantic',\n 14: 'moscow',\n 15: 'muscat',\n 16: 'newfoundland',\n 17: 'samoa',\n 18: 'sydney',\n 19: 'tehran',\n 20: 'tokyo',\n 21: 'us_alaska',\n 22: 'us_atlantic',\n 23: 'us_central',\n 24: 'us_eastern',\n 25: 'us_hawaii',\n 26: 'us_mountain',\n 27: 'us_pacific',\n 28: 'other',\n 29: 'auckland',\n 30: 'kathmandu',\n 31: 'europe_western_wet',\n 32: 'europe_central_cet',\n 33: 'europe_eastern_eet',\n 34: 'jakarta',\n 35: 'perth',\n 36: 'adelaide',\n 37: 'brisbane',\n 38: 'tasmania',\n 39: 'iceland',\n 40: 'amsterdam',\n 41: 'athens',\n 42: 'barcelona',\n 43: 'berlin',\n 44: 'brussels',\n 45: 'budapest',\n 46: 'copenhagen',\n 47: 'dublin',\n 48: 'helsinki',\n 49: 'lisbon',\n 50: 'london',\n 51: 'madrid',\n 52: 'munich',\n 53: 'oslo',\n 54: 'paris',\n 55: 'prague',\n 56: 'reykjavik',\n 57: 'rome',\n 58: 'stockholm',\n 59: 'vienna',\n 60: 'warsaw',\n 61: 'zurich',\n 62: 'quebec',\n 63: 'ontario',\n 64: 'manitoba',\n 65: 'saskatchewan',\n 66: 'alberta',\n 67: 'british_columbia',\n 68: 'boise',\n 69: 'boston',\n 70: 'chicago',\n 71: 'dallas',\n 72: 'denver',\n 73: 'kansas_city',\n 74: 'las_vegas',\n 75: 'los_angeles',\n 76: 'miami',\n 77: 'minneapolis',\n 78: 'new_york',\n 79: 'new_orleans',\n 80: 'phoenix',\n 81: 'santa_fe',\n 82: 'seattle',\n 83: 'washington_dc',\n 84: 'us_arizona',\n 85: 'chita',\n 86: 'ekaterinburg',\n 87: 'irkutsk',\n 88: 'kaliningrad',\n 89: 'krasnoyarsk',\n 90: 'novosibirsk',\n 91: 'petropavlovsk_kamchatskiy',\n 92: 'samara',\n 93: 'vladivostok',\n 94: 'mexico_central',\n 95: 'mexico_mountain',\n 96: 'mexico_pacific',\n 97: 'cape_town',\n 98: 'winkhoek',\n 99: 'lagos',\n 100: 'riyahd',\n 101: 'venezuela',\n 102: 'australia_lh',\n 103: 'santiago',\n 253: 'manual',\n 254: 'automatic',\n },\n display_measure: {\n 0: 'metric',\n 1: 'statute',\n 2: 'nautical',\n },\n display_heart: {\n 0: 'bpm',\n 1: 'max',\n 2: 'reserve',\n },\n display_power: {\n 0: 'watts',\n 1: 'percent_ftp',\n },\n display_position: {\n 0: 'degree',\n 1: 'degree_minute',\n 2: 'degree_minute_second',\n 3: 'austrian_grid',\n 4: 'british_grid',\n 5: 'dutch_grid',\n 6: 'hungarian_grid',\n 7: 'finnish_grid',\n 8: 'german_grid',\n 9: 'icelandic_grid',\n 10: 'indonesian_equatorial',\n 11: 'indonesian_irian',\n 12: 'indonesian_southern',\n 13: 'india_zone_0',\n 14: 'india_zone_IA',\n 15: 'india_zone_IB',\n 16: 'india_zone_IIA',\n 17: 'india_zone_IIB',\n 18: 'india_zone_IIIA',\n 19: 'india_zone_IIIB',\n 20: 'india_zone_IVA',\n 21: 'india_zone_IVB',\n 22: 'irish_transverse',\n 23: 'irish_grid',\n 24: 'loran',\n 25: 'maidenhead_grid',\n 26: 'mgrs_grid',\n 27: 'new_zealand_grid',\n 28: 'new_zealand_transverse',\n 29: 'qatar_grid',\n 30: 'modified_swedish_grid',\n 31: 'swedish_grid',\n 32: 'south_african_grid',\n 33: 'swiss_grid',\n 34: 'taiwan_grid',\n 35: 'united_states_grid',\n 36: 'utm_ups_grid',\n 37: 'west_malayan',\n 38: 'borneo_rso',\n 39: 'estonian_grid',\n 40: 'latvian_grid',\n 41: 'swedish_ref_99_grid',\n },\n switch: {\n 0: 'off',\n 1: 'on',\n 2: 'auto',\n },\n sport: {\n 0: 'generic',\n 1: 'running',\n 2: 'cycling',\n 3: 'transition',\n 4: 'fitness_equipment',\n 5: 'swimming',\n 6: 'basketball',\n 7: 'soccer',\n 8: 'tennis',\n 9: 'american_football',\n 10: 'training',\n 11: 'walking',\n 12: 'cross_country_skiing',\n 13: 'alpine_skiing',\n 14: 'snowboarding',\n 15: 'rowing',\n 16: 'mountaineering',\n 17: 'hiking',\n 18: 'multisport',\n 19: 'paddling',\n 20: 'flying',\n 21: 'e_biking',\n 22: 'motorcycling',\n 23: 'boating',\n 24: 'driving',\n 25: 'golf',\n 26: 'hang_gliding',\n 27: 'horseback_riding',\n 28: 'hunting',\n 29: 'fishing',\n 30: 'inline_skating',\n 31: 'rock_climbing',\n 32: 'sailing',\n 33: 'ice_skating',\n 34: 'sky_diving',\n 35: 'snowshoeing',\n 36: 'snowmobiling',\n 37: 'stand_up_paddleboarding',\n 38: 'surfing',\n 39: 'wakeboarding',\n 40: 'water_skiing',\n 41: 'kayaking',\n 42: 'rafting',\n 43: 'windsurfing',\n 44: 'kitesurfing',\n 45: 'tactical',\n 46: 'jumpmaster',\n 47: 'boxing',\n 48: 'floor_climbing',\n 53: 'diving',\n 254: 'all',\n },\n sport_bits_0: {\n 0: 0,\n 1: 'generic',\n 2: 'running',\n 4: 'cycling',\n 8: 'transition',\n 16: 'fitness_equipment',\n 32: 'swimming',\n 64: 'basketball',\n 128: 'soccer',\n },\n sport_bits_1: {\n 0: 0,\n 1: 'tennis',\n 2: 'american_football',\n 4: 'training',\n 8: 'walking',\n 16: 'cross_country_skiing',\n 32: 'alpine_skiing',\n 64: 'snowboarding',\n 128: 'rowing',\n },\n sport_bits_2: {\n 0: 0,\n 1: 'mountaineering',\n 2: 'hiking',\n 4: 'multisport',\n 8: 'paddling',\n 16: 'flying',\n 32: 'e_biking',\n 64: 'motorcycling',\n 128: 'boating',\n },\n sport_bits_3: {\n 0: 0,\n 1: 'driving',\n 2: 'golf',\n 4: 'hang_gliding',\n 8: 'horseback_riding',\n 16: 'hunting',\n 32: 'fishing',\n 64: 'inline_skating',\n 128: 'rock_climbing',\n },\n sport_bits_4: {\n 0: 0,\n 1: 'sailing',\n 2: 'ice_skating',\n 4: 'sky_diving',\n 8: 'snowshoeing',\n 16: 'snowmobiling',\n 32: 'stand_up_paddleboarding',\n 64: 'surfing',\n 128: 'wakeboarding',\n },\n sport_bits_5: {\n 0: 0,\n 1: 'water_skiing',\n 2: 'kayaking',\n 4: 'rafting',\n 8: 'windsurfing',\n 16: 'kitesurfing',\n 32: 'tactical',\n 64: 'jumpmaster',\n 128: 'boxing',\n },\n sport_bits_6: {\n 0: 0,\n 1: 'floor_climbing',\n },\n sub_sport: {\n 0: 'generic',\n 1: 'treadmill',\n 2: 'street',\n 3: 'trail',\n 4: 'track',\n 5: 'spin',\n 6: 'indoor_cycling',\n 7: 'road',\n 8: 'mountain',\n 9: 'downhill',\n 10: 'recumbent',\n 11: 'cyclocross',\n 12: 'hand_cycling',\n 13: 'track_cycling',\n 14: 'indoor_rowing',\n 15: 'elliptical',\n 16: 'stair_climbing',\n 17: 'lap_swimming',\n 18: 'open_water',\n 19: 'flexibility_training',\n 20: 'strength_training',\n 21: 'warm_up',\n 22: 'match',\n 23: 'exercise',\n 24: 'challenge',\n 25: 'indoor_skiing',\n 26: 'cardio_training',\n 27: 'indoor_walking',\n 28: 'e_bike_fitness',\n 29: 'bmx',\n 30: 'casual_walking',\n 31: 'speed_walking',\n 32: 'bike_to_run_transition',\n 33: 'run_to_bike_transition',\n 34: 'swim_to_bike_transition',\n 35: 'atv',\n 36: 'motocross',\n 37: 'backcountry',\n 38: 'resort',\n 39: 'rc_drone',\n 40: 'wingsuit',\n 41: 'whitewater',\n 42: 'skate_skiing',\n 43: 'yoga',\n 44: 'pilates',\n 45: 'indoor_running',\n 46: 'gravel_cycling',\n 47: 'e_bike_mountain',\n 48: 'commuting',\n 49: 'mixed_surface',\n 50: 'navigate',\n 51: 'track_me',\n 52: 'map',\n 53: 'single_gas_diving',\n 54: 'multi_gas_diving',\n 55: 'gauge_diving',\n 56: 'apnea_diving',\n 57: 'apnea_hunting',\n 58: 'virtual_activity',\n 59: 'obstacle',\n 254: 'all',\n },\n sport_event: {\n 0: 'uncategorized',\n 1: 'geocaching',\n 2: 'fitness',\n 3: 'recreation',\n 4: 'race',\n 5: 'special_event',\n 6: 'training',\n 7: 'transportation',\n 8: 'touring',\n },\n activity: {\n 0: 'manual',\n 1: 'auto_multi_sport',\n },\n intensity: {\n 0: 'active',\n 1: 'rest',\n 2: 'warmup',\n 3: 'cooldown',\n 4: 'recovery',\n 5: 'interval',\n 6: 'other',\n },\n session_trigger: {\n 0: 'activity_end',\n 1: 'manual',\n 2: 'auto_multi_sport',\n 3: 'fitness_equipment',\n },\n autolap_trigger: {\n 0: 'time',\n 1: 'distance',\n 2: 'position_start',\n 3: 'position_lap',\n 4: 'position_waypoint',\n 5: 'position_marked',\n 6: 'off',\n },\n lap_trigger: {\n 0: 'manual',\n 1: 'time',\n 2: 'distance',\n 3: 'position_start',\n 4: 'position_lap',\n 5: 'position_waypoint',\n 6: 'position_marked',\n 7: 'session_end',\n 8: 'fitness_equipment',\n },\n time_mode: {\n 0: 'hour12',\n 1: 'hour24',\n 2: 'military',\n 3: 'hour_12_with_seconds',\n 4: 'hour_24_with_seconds',\n 5: 'utc',\n },\n backlight_mode: {\n 0: 'off',\n 1: 'manual',\n 2: 'key_and_messages',\n 3: 'auto_brightness',\n 4: 'smart_notifications',\n 5: 'key_and_messages_night',\n 6: 'key_and_messages_and_smart_notifications',\n },\n date_mode: {\n 0: 'day_month',\n 1: 'month_day',\n },\n backlight_timeout: {\n 0: 'infinite',\n },\n event: {\n 0: 'timer',\n 3: 'workout',\n 4: 'workout_step',\n 5: 'power_down',\n 6: 'power_up',\n 7: 'off_course',\n 8: 'session',\n 9: 'lap',\n 10: 'course_point',\n 11: 'battery',\n 12: 'virtual_partner_pace',\n 13: 'hr_high_alert',\n 14: 'hr_low_alert',\n 15: 'speed_high_alert',\n 16: 'speed_low_alert',\n 17: 'cad_high_alert',\n 18: 'cad_low_alert',\n 19: 'power_high_alert',\n 20: 'power_low_alert',\n 21: 'recovery_hr',\n 22: 'battery_low',\n 23: 'time_duration_alert',\n 24: 'distance_duration_alert',\n 25: 'calorie_duration_alert',\n 26: 'activity',\n 27: 'fitness_equipment',\n 28: 'length',\n 32: 'user_marker',\n 33: 'sport_point',\n 36: 'calibration',\n 42: 'front_gear_change',\n 43: 'rear_gear_change',\n 44: 'rider_position_change',\n 45: 'elev_high_alert',\n 46: 'elev_low_alert',\n 47: 'comm_timeout',\n },\n event_type: {\n 0: 'start',\n 1: 'stop',\n 2: 'consecutive_depreciated',\n 3: 'marker',\n 4: 'stop_all',\n 5: 'begin_depreciated',\n 6: 'end_depreciated',\n 7: 'end_all_depreciated',\n 8: 'stop_disable',\n 9: 'stop_disable_all',\n },\n timer_trigger: {\n 0: 'manual',\n 1: 'auto',\n 2: 'fitness_equipment',\n },\n fitness_equipment_state: {\n 0: 'ready',\n 1: 'in_use',\n 2: 'paused',\n 3: 'unknown',\n },\n tone: {\n 0: 'off',\n 1: 'tone',\n 2: 'vibrate',\n 3: 'tone_and_vibrate',\n },\n autoscroll: {\n 0: 'none',\n 1: 'slow',\n 2: 'medium',\n 3: 'fast',\n },\n activity_class: {\n 0: 0,\n 100: 'level_max',\n 127: 'level',\n 128: 'athlete',\n },\n hr_zone_calc: {\n 0: 'custom',\n 1: 'percent_max_hr',\n 2: 'percent_hrr',\n },\n pwr_zone_calc: {\n 0: 'custom',\n 1: 'percent_ftp',\n },\n wkt_step_duration: {\n 0: 'time',\n 1: 'distance',\n 2: 'hr_less_than',\n 3: 'hr_greater_than',\n 4: 'calories',\n 5: 'open',\n 6: 'repeat_until_steps_cmplt',\n 7: 'repeat_until_time',\n 8: 'repeat_until_distance',\n 9: 'repeat_until_calories',\n 10: 'repeat_until_hr_less_than',\n 11: 'repeat_until_hr_greater_than',\n 12: 'repeat_until_power_less_than',\n 13: 'repeat_until_power_greater_than',\n 14: 'power_less_than',\n 15: 'power_greater_than',\n 16: 'training_peaks_tss',\n 17: 'repeat_until_power_last_lap_less_than',\n 18: 'repeat_until_max_power_last_lap_less_than',\n 19: 'power_3s_less_than',\n 20: 'power_10s_less_than',\n 21: 'power_30s_less_than',\n 22: 'power_3s_greater_than',\n 23: 'power_10s_greater_than',\n 24: 'power_30s_greater_than',\n 25: 'power_lap_less_than',\n 26: 'power_lap_greater_than',\n 27: 'repeat_until_training_peaks_tss',\n 28: 'repetition_time',\n 29: 'reps',\n },\n wkt_step_target: {\n 0: 'speed',\n 1: 'heart_rate',\n 2: 'open',\n 3: 'cadence',\n 4: 'power',\n 5: 'grade',\n 6: 'resistance',\n 7: 'power_3s',\n 8: 'power_10s',\n 9: 'power_30s',\n 10: 'power_lap',\n 11: 'swim_stroke',\n 12: 'speed_lap',\n 13: 'heart_rate_lap',\n },\n goal: {\n 0: 'time',\n 1: 'distance',\n 2: 'calories',\n 3: 'frequency',\n 4: 'steps',\n 5: 'ascent',\n 6: 'active_minutes',\n },\n goal_recurrence: {\n 0: 'off',\n 1: 'daily',\n 2: 'weekly',\n 3: 'monthly',\n 4: 'yearly',\n 5: 'custom',\n },\n goal_source: {\n 0: 'auto',\n 1: 'community',\n 2: 'user',\n },\n schedule: {\n 0: 'workout',\n 1: 'course',\n },\n course_point: {\n 0: 'generic',\n 1: 'summit',\n 2: 'valley',\n 3: 'water',\n 4: 'food',\n 5: 'danger',\n 6: 'left',\n 7: 'right',\n 8: 'straight',\n 9: 'first_aid',\n 10: 'fourth_category',\n 11: 'third_category',\n 12: 'second_category',\n 13: 'first_category',\n 14: 'hors_category',\n 15: 'sprint',\n 16: 'left_fork',\n 17: 'right_fork',\n 18: 'middle_fork',\n 19: 'slight_left',\n 20: 'sharp_left',\n 21: 'slight_right',\n 22: 'sharp_right',\n 23: 'u_turn',\n 24: 'segment_start',\n 25: 'segment_end',\n },\n manufacturer: {\n 0: 0,\n 1: 'garmin',\n 2: 'garmin_fr405_antfs',\n 3: 'zephyr',\n 4: 'dayton',\n 5: 'idt',\n 6: 'srm',\n 7: 'quarq',\n 8: 'ibike',\n 9: 'saris',\n 10: 'spark_hk',\n 11: 'tanita',\n 12: 'echowell',\n 13: 'dynastream_oem',\n 14: 'nautilus',\n 15: 'dynastream',\n 16: 'timex',\n 17: 'metrigear',\n 18: 'xelic',\n 19: 'beurer',\n 20: 'cardiosport',\n 21: 'a_and_d',\n 22: 'hmm',\n 23: 'suunto',\n 24: 'thita_elektronik',\n 25: 'gpulse',\n 26: 'clean_mobile',\n 27: 'pedal_brain',\n 28: 'peaksware',\n 29: 'saxonar',\n 30: 'lemond_fitness',\n 31: 'dexcom',\n 32: 'wahoo_fitness',\n 33: 'octane_fitness',\n 34: 'archinoetics',\n 35: 'the_hurt_box',\n 36: 'citizen_systems',\n 37: 'magellan',\n 38: 'osynce',\n 39: 'holux',\n 40: 'concept2',\n 42: 'one_giant_leap',\n 43: 'ace_sensor',\n 44: 'brim_brothers',\n 45: 'xplova',\n 46: 'perception_digital',\n 47: 'bf1systems',\n 48: 'pioneer',\n 49: 'spantec',\n 50: 'metalogics',\n 51: '4iiiis',\n 52: 'seiko_epson',\n 53: 'seiko_epson_oem',\n 54: 'ifor_powell',\n 55: 'maxwell_guider',\n 56: 'star_trac',\n 57: 'breakaway',\n 58: 'alatech_technology_ltd',\n 59: 'mio_technology_europe',\n 60: 'rotor',\n 61: 'geonaute',\n 62: 'id_bike',\n 63: 'specialized',\n 64: 'wtek',\n 65: 'physical_enterprises',\n 66: 'north_pole_engineering',\n 67: 'bkool',\n 68: 'cateye',\n 69: 'stages_cycling',\n 70: 'sigmasport',\n 71: 'tomtom',\n 72: 'peripedal',\n 73: 'wattbike',\n 76: 'moxy',\n 77: 'ciclosport',\n 78: 'powerbahn',\n 79: 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'nci_technology',\n 255: 'development',\n 257: 'healthandlife',\n 258: 'lezyne',\n 259: 'scribe_labs',\n 260: 'zwift',\n 261: 'watteam',\n 262: 'recon',\n 263: 'favero_electronics',\n 264: 'dynovelo',\n 265: 'strava',\n 266: 'precor',\n 267: 'bryton',\n 268: 'sram',\n 269: 'navman',\n 270: 'cobi',\n 271: 'spivi',\n 272: 'mio_magellan',\n 273: 'evesports',\n 274: 'sensitivus_gauge',\n 275: 'podoon',\n 276: 'life_time_fitness',\n 277: 'falco_e_motors',\n 278: 'minoura',\n 279: 'cycliq',\n 280: 'luxottica',\n 281: 'trainer_road',\n 282: 'the_sufferfest',\n 283: 'fullspeedahead',\n 284: 'virtualtraining',\n 285: 'feedbacksports',\n 286: 'omata',\n 287: 'vdo',\n 288: 'magneticdays',\n 289: 'hammerhead',\n 290: 'kinetic_by_kurt',\n 291: 'shapelog',\n 292: 'dabuziduo',\n 293: 'jetblack',\n 294: 'coros',\n 295: 'virtugo',\n 296: 'velosense',\n 5759: 'actigraphcorp',\n },\n garmin_product: {\n 0: 'hrm_bike',\n 1: 'hrm1',\n 2: 'axh01',\n 3: 'axb01',\n 4: 'axb02',\n 5: 'hrm2ss',\n 6: 'dsi_alf02',\n 7: 'hrm3ss',\n 8: 'hrm_run_single_byte_product_id',\n 9: 'bsm',\n 10: 'bcm',\n 11: 'axs01',\n 12: 'hrm_tri_single_byte_product_id',\n 14: 'fr225_single_byte_product_id',\n 473: 'fr301_china',\n 474: 'fr301_japan',\n 475: 'fr301_korea',\n 494: 'fr301_taiwan',\n 717: 'fr405',\n 782: 'fr50',\n 987: 'fr405_japan',\n 988: 'fr60',\n 1011: 'dsi_alf01',\n 1018: 'fr310xt',\n 1036: 'edge500',\n 1124: 'fr110',\n 1169: 'edge800',\n 1199: 'edge500_taiwan',\n 1213: 'edge500_japan',\n 1253: 'chirp',\n 1274: 'fr110_japan',\n 1325: 'edge200',\n 1328: 'fr910xt',\n 1333: 'edge800_taiwan',\n 1334: 'edge800_japan',\n 1341: 'alf04',\n 1345: 'fr610',\n 1360: 'fr210_japan',\n 1380: 'vector_ss',\n 1381: 'vector_cp',\n 1386: 'edge800_china',\n 1387: 'edge500_china',\n 1410: 'fr610_japan',\n 1422: 'edge500_korea',\n 1436: 'fr70',\n 1446: 'fr310xt_4t',\n 1461: 'amx',\n 1482: 'fr10',\n 1497: 'edge800_korea',\n 1499: 'swim',\n 1537: 'fr910xt_china',\n 1551: 'fenix',\n 1555: 'edge200_taiwan',\n 1561: 'edge510',\n 1567: 'edge810',\n 1570: 'tempe',\n 1600: 'fr910xt_japan',\n 1623: 'fr620',\n 1632: 'fr220',\n 1664: 'fr910xt_korea',\n 1688: 'fr10_japan',\n 1721: 'edge810_japan',\n 1735: 'virb_elite',\n 1736: 'edge_touring',\n 1742: 'edge510_japan',\n 1743: 'hrm_tri',\n 1752: 'hrm_run',\n 1765: 'fr920xt',\n 1821: 'edge510_asia',\n 1822: 'edge810_china',\n 1823: 'edge810_taiwan',\n 1836: 'edge1000',\n 1837: 'vivo_fit',\n 1853: 'virb_remote',\n 1885: 'vivo_ki',\n 1903: 'fr15',\n 1907: 'vivo_active',\n 1918: 'edge510_korea',\n 1928: 'fr620_japan',\n 1929: 'fr620_china',\n 1930: 'fr220_japan',\n 1931: 'fr220_china',\n 1936: 'approach_s6',\n 1956: 'vivo_smart',\n 1967: 'fenix2',\n 1988: 'epix',\n 2050: 'fenix3',\n 2052: 'edge1000_taiwan',\n 2053: 'edge1000_japan',\n 2061: 'fr15_japan',\n 2067: 'edge520',\n 2070: 'edge1000_china',\n 2072: 'fr620_russia',\n 2073: 'fr220_russia',\n 2079: 'vector_s',\n 2100: 'edge1000_korea',\n 2130: 'fr920xt_taiwan',\n 2131: 'fr920xt_china',\n 2132: 'fr920xt_japan',\n 2134: 'virbx',\n 2135: 'vivo_smart_apac',\n 2140: 'etrex_touch',\n 2147: 'edge25',\n 2148: 'fr25',\n 2150: 'vivo_fit2',\n 2153: 'fr225',\n 2156: 'fr630',\n 2157: 'fr230',\n 2158: 'fr735xt',\n 2160: 'vivo_active_apac',\n 2161: 'vector_2',\n 2162: 'vector_2s',\n 2172: 'virbxe',\n 2173: 'fr620_taiwan',\n 2174: 'fr220_taiwan',\n 2175: 'truswing',\n 2188: 'fenix3_china',\n 2189: 'fenix3_twn',\n 2192: 'varia_headlight',\n 2193: 'varia_taillight_old',\n 2204: 'edge_explore_1000',\n 2219: 'fr225_asia',\n 2225: 'varia_radar_taillight',\n 2226: 'varia_radar_display',\n 2238: 'edge20',\n 2262: 'd2_bravo',\n 2266: 'approach_s20',\n 2276: 'varia_remote',\n 2327: 'hrm4_run',\n 2337: 'vivo_active_hr',\n 2348: 'vivo_smart_hr',\n 2368: 'vivo_move',\n 2398: 'varia_vision',\n 2406: 'vivo_fit3',\n 2413: 'fenix3_hr',\n 2417: 'virb_ultra_30',\n 2429: 'index_smart_scale',\n 2431: 'fr235',\n 2432: 'fenix3_chronos',\n 2441: 'oregon7xx',\n 2444: 'rino7xx',\n 2496: 'nautix',\n 2530: 'edge_820',\n 2531: 'edge_explore_820',\n 2544: 'fenix5s',\n 2547: 'd2_bravo_titanium',\n 2567: 'varia_ut800',\n 2593: 'running_dynamics_pod',\n 2604: 'fenix5x',\n 2606: 'vivo_fit_jr',\n 2691: 'fr935',\n 2697: 'fenix5',\n 2859: 'descent',\n 10007: 'sdm4',\n 10014: 'edge_remote',\n 20119: 'training_center',\n 65531: 'connectiq_simulator',\n 65532: 'android_antplus_plugin',\n 65534: 'connect',\n },\n antplus_device_type: {\n 1: 'antfs',\n 11: 'bike_power',\n 12: 'environment_sensor_legacy',\n 15: 'multi_sport_speed_distance',\n 16: 'control',\n 17: 'fitness_equipment',\n 18: 'blood_pressure',\n 19: 'geocache_node',\n 20: 'light_electric_vehicle',\n 25: 'env_sensor',\n 26: 'racquet',\n 27: 'control_hub',\n 31: 'muscle_oxygen',\n 34: 'shifting',\n 35: 'bike_light_main',\n 36: 'bike_light_shared',\n 38: 'exd',\n 40: 'bike_radar',\n 46: 'bike_aero',\n 119: 'weight_scale',\n 120: 'heart_rate',\n 121: 'bike_speed_cadence',\n 122: 'bike_cadence',\n 123: 'bike_speed',\n 124: 'stride_speed_distance',\n },\n local_device_type: {\n 0: 'gps',\n 1: 'glonass',\n 2: 'gps_glonass',\n 3: 'accelerometer',\n 4: 'barometer',\n 5: 'temperature',\n 10: 'whr',\n 12: 'sensor_hub',\n },\n ble_device_type: {\n 0: 'connected_gps',\n 1: 'heart_rate',\n 2: 'bike_power',\n 3: 'bike_speed_cadence',\n 4: 'bike_speed',\n 5: 'bike_cadence',\n 6: 'footpod',\n 7: 'bike_trainer',\n },\n ant_network: {\n 0: 'public',\n 1: 'antplus',\n 2: 'antfs',\n 3: 'private',\n },\n workout_capabilities: {\n 0: 0,\n 1: 'interval',\n 2: 'custom',\n 4: 'fitness_equipment',\n 8: 'firstbeat',\n 16: 'new_leaf',\n 32: 'tcx',\n 128: 'speed',\n 256: 'heart_rate',\n 512: 'distance',\n 1024: 'cadence',\n 2048: 'power',\n 4096: 'grade',\n 8192: 'resistance',\n 16384: 'protected',\n },\n battery_status: {\n 0: 0,\n 1: 'new',\n 2: 'good',\n 3: 'ok',\n 4: 'low',\n 5: 'critical',\n 6: 'charging',\n 7: 'unknown',\n },\n hr_type: {\n 0: 'normal',\n 1: 'irregular',\n },\n course_capabilities: {\n 0: 0,\n 1: 'processed',\n 2: 'valid',\n 4: 'time',\n 8: 'distance',\n 16: 'position',\n 32: 'heart_rate',\n 64: 'power',\n 128: 'cadence',\n 256: 'training',\n 512: 'navigation',\n 1024: 'bikeway',\n },\n weight: {\n 0: 0,\n 65534: 'calculating',\n },\n workout_hr: {\n 0: 0,\n 100: 'bpm_offset',\n },\n workout_power: {\n 0: 0,\n 1000: 'watts_offset',\n },\n bp_status: {\n 0: 'no_error',\n 1: 'error_incomplete_data',\n 2: 'error_no_measurement',\n 3: 'error_data_out_of_range',\n 4: 'error_irregular_heart_rate',\n },\n user_local_id: {\n 0: 'local_min',\n 15: 'local_max',\n 16: 'stationary_min',\n 255: 'stationary_max',\n 256: 'portable_min',\n 65534: 'portable_max',\n },\n swim_stroke: {\n 0: 'freestyle',\n 1: 'backstroke',\n 2: 'breaststroke',\n 3: 'butterfly',\n 4: 'drill',\n 5: 'mixed',\n 6: 'im',\n },\n activity_type: {\n 0: 'generic',\n 1: 'running',\n 2: 'cycling',\n 3: 'transition',\n 4: 'fitness_equipment',\n 5: 'swimming',\n 6: 'walking',\n 8: 'sedentary',\n 254: 'all',\n },\n activity_subtype: {\n 0: 'generic',\n 1: 'treadmill',\n 2: 'street',\n 3: 'trail',\n 4: 'track',\n 5: 'spin',\n 6: 'indoor_cycling',\n 7: 'road',\n 8: 'mountain',\n 9: 'downhill',\n 10: 'recumbent',\n 11: 'cyclocross',\n 12: 'hand_cycling',\n 13: 'track_cycling',\n 14: 'indoor_rowing',\n 15: 'elliptical',\n 16: 'stair_climbing',\n 17: 'lap_swimming',\n 18: 'open_water',\n 254: 'all',\n },\n activity_level: {\n 0: 'low',\n 1: 'medium',\n 2: 'high',\n },\n side: {\n 0: 'right',\n 1: 'left',\n },\n left_right_balance: {\n 0: 0,\n 127: 'mask',\n 128: 'right',\n },\n left_right_balance_100: {\n 0: 0,\n 16383: 'mask',\n 32768: 'right',\n },\n length_type: {\n 0: 'idle',\n 1: 'active',\n },\n day_of_week: {\n 0: 'sunday',\n 1: 'monday',\n 2: 'tuesday',\n 3: 'wednesday',\n 4: 'thursday',\n 5: 'friday',\n 6: 'saturday',\n },\n connectivity_capabilities: {\n 0: 0,\n 1: 'bluetooth',\n 2: 'bluetooth_le',\n 4: 'ant',\n 8: 'activity_upload',\n 16: 'course_download',\n 32: 'workout_download',\n 64: 'live_track',\n 128: 'weather_conditions',\n 256: 'weather_alerts',\n 512: 'gps_ephemeris_download',\n 1024: 'explicit_archive',\n 2048: 'setup_incomplete',\n 4096: 'continue_sync_after_software_update',\n 8192: 'connect_iq_app_download',\n 16384: 'golf_course_download',\n 32768: 'device_initiates_sync',\n 65536: 'connect_iq_watch_app_download',\n 131072: 'connect_iq_widget_download',\n 262144: 'connect_iq_watch_face_download',\n 524288: 'connect_iq_data_field_download',\n 1048576: 'connect_iq_app_managment',\n 2097152: 'swing_sensor',\n 4194304: 'swing_sensor_remote',\n 8388608: 'incident_detection',\n 16777216: 'audio_prompts',\n 33554432: 'wifi_verification',\n 67108864: 'true_up',\n 134217728: 'find_my_watch',\n 268435456: 'remote_manual_sync',\n 536870912: 'live_track_auto_start',\n 1073741824: 'live_track_messaging',\n 2147483648: 'instant_input',\n },\n weather_report: {\n 0: 'current',\n 1: 'hourly_forecast',\n 2: 'daily_forecast',\n },\n weather_status: {\n 0: 'clear',\n 1: 'partly_cloudy',\n 2: 'mostly_cloudy',\n 3: 'rain',\n 4: 'snow',\n 5: 'windy',\n 6: 'thunderstorms',\n 7: 'wintry_mix',\n 8: 'fog',\n 11: 'hazy',\n 12: 'hail',\n 13: 'scattered_showers',\n 14: 'scattered_thunderstorms',\n 15: 'unknown_precipitation',\n 16: 'light_rain',\n 17: 'heavy_rain',\n 18: 'light_snow',\n 19: 'heavy_snow',\n 20: 'light_rain_snow',\n 21: 'heavy_rain_snow',\n 22: 'cloudy',\n },\n weather_severity: {\n 0: 'unknown',\n 1: 'warning',\n 2: 'watch',\n 3: 'advisory',\n 4: 'statement',\n },\n weather_severe_type: {\n 0: 'unspecified',\n 1: 'tornado',\n 2: 'tsunami',\n 3: 'hurricane',\n 4: 'extreme_wind',\n 5: 'typhoon',\n 6: 'inland_hurricane',\n 7: 'hurricane_force_wind',\n 8: 'waterspout',\n 9: 'severe_thunderstorm',\n 10: 'wreckhouse_winds',\n 11: 'les_suetes_wind',\n 12: 'avalanche',\n 13: 'flash_flood',\n 14: 'tropical_storm',\n 15: 'inland_tropical_storm',\n 16: 'blizzard',\n 17: 'ice_storm',\n 18: 'freezing_rain',\n 19: 'debris_flow',\n 20: 'flash_freeze',\n 21: 'dust_storm',\n 22: 'high_wind',\n 23: 'winter_storm',\n 24: 'heavy_freezing_spray',\n 25: 'extreme_cold',\n 26: 'wind_chill',\n 27: 'cold_wave',\n 28: 'heavy_snow_alert',\n 29: 'lake_effect_blowing_snow',\n 30: 'snow_squall',\n 31: 'lake_effect_snow',\n 32: 'winter_weather',\n 33: 'sleet',\n 34: 'snowfall',\n 35: 'snow_and_blowing_snow',\n 36: 'blowing_snow',\n 37: 'snow_alert',\n 38: 'arctic_outflow',\n 39: 'freezing_drizzle',\n 40: 'storm',\n 41: 'storm_surge',\n 42: 'rainfall',\n 43: 'areal_flood',\n 44: 'coastal_flood',\n 45: 'lakeshore_flood',\n 46: 'excessive_heat',\n 47: 'heat',\n 48: 'weather',\n 49: 'high_heat_and_humidity',\n 50: 'humidex_and_health',\n 51: 'humidex',\n 52: 'gale',\n 53: 'freezing_spray',\n 54: 'special_marine',\n 55: 'squall',\n 56: 'strong_wind',\n 57: 'lake_wind',\n 58: 'marine_weather',\n 59: 'wind',\n 60: 'small_craft_hazardous_seas',\n 61: 'hazardous_seas',\n 62: 'small_craft',\n 63: 'small_craft_winds',\n 64: 'small_craft_rough_bar',\n 65: 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'left_arm',\n 23: 'left_shoulder',\n 24: 'left_bicep',\n 25: 'left_tricep',\n 26: 'left_brachioradialis',\n 27: 'left_forearm_extensors',\n 28: 'right_arm',\n 29: 'right_shoulder',\n 30: 'right_bicep',\n 31: 'right_tricep',\n 32: 'right_brachioradialis',\n 33: 'right_forearm_extensors',\n 34: 'neck',\n 35: 'throat',\n 36: 'waist_mid_back',\n 37: 'waist_front',\n 38: 'waist_left',\n 39: 'waist_right',\n },\n segment_lap_status: {\n 0: 'end',\n 1: 'fail',\n },\n segment_leaderboard_type: {\n 0: 'overall',\n 1: 'personal_best',\n 2: 'connections',\n 3: 'group',\n 4: 'challenger',\n 5: 'kom',\n 6: 'qom',\n 7: 'pr',\n 8: 'goal',\n 9: 'rival',\n 10: 'club_leader',\n },\n segment_delete_status: {\n 0: 'do_not_delete',\n 1: 'delete_one',\n 2: 'delete_all',\n },\n segment_selection_type: {\n 0: 'starred',\n 1: 'suggested',\n },\n source_type: {\n 0: 'ant',\n 1: 'antplus',\n 2: 'bluetooth',\n 3: 'bluetooth_low_energy',\n 4: 'wifi',\n 5: 'local',\n },\n display_orientation: {\n 0: 'auto',\n 1: 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'video_second_stream_split_start',\n 11: 'video_pause',\n 12: 'video_second_stream_pause',\n 13: 'video_resume',\n 14: 'video_second_stream_resume',\n },\n sensor_type: {\n 0: 'accelerometer',\n 1: 'gyroscope',\n 2: 'compass',\n 3: 'barometer',\n },\n bike_light_network_config_type: {\n 0: 'auto',\n 4: 'individual',\n 5: 'high_visibility',\n 6: 'trail',\n },\n comm_timeout_type: {\n 0: 'wildcard_pairing_timeout',\n 1: 'pairing_timeout',\n 2: 'connection_lost',\n 3: 'connection_timeout',\n },\n camera_orientation_type: {\n 0: 'camera_orientation_0',\n 1: 'camera_orientation_90',\n 2: 'camera_orientation_180',\n 3: 'camera_orientation_270',\n },\n attitude_stage: {\n 0: 'failed',\n 1: 'aligning',\n 2: 'degraded',\n 3: 'valid',\n },\n attitude_validity: {\n 0: 0,\n 1: 'track_angle_heading_valid',\n 2: 'pitch_valid',\n 4: 'roll_valid',\n 8: 'lateral_body_accel_valid',\n 16: 'normal_body_accel_valid',\n 32: 'turn_rate_valid',\n 64: 'hw_fail',\n 128: 'mag_invalid',\n 256: 'no_gps',\n 512: 'gps_invalid',\n 1024: 'solution_coasting',\n 2048: 'true_track_angle',\n 4096: 'magnetic_heading',\n },\n auto_sync_frequency: {\n 0: 'never',\n 1: 'occasionally',\n 2: 'frequent',\n 3: 'once_a_day',\n 4: 'remote',\n },\n exd_layout: {\n 0: 'full_screen',\n 1: 'half_vertical',\n 2: 'half_horizontal',\n 3: 'half_vertical_right_split',\n 4: 'half_horizontal_bottom_split',\n 5: 'full_quarter_split',\n 6: 'half_vertical_left_split',\n 7: 'half_horizontal_top_split',\n },\n exd_display_type: {\n 0: 'numerical',\n 1: 'simple',\n 2: 'graph',\n 3: 'bar',\n 4: 'circle_graph',\n 5: 'virtual_partner',\n 6: 'balance',\n 7: 'string_list',\n 8: 'string',\n 9: 'simple_dynamic_icon',\n 10: 'gauge',\n },\n exd_data_units: {\n 0: 'no_units',\n 1: 'laps',\n 2: 'miles_per_hour',\n 3: 'kilometers_per_hour',\n 4: 'feet_per_hour',\n 5: 'meters_per_hour',\n 6: 'degrees_celsius',\n 7: 'degrees_farenheit',\n 8: 'zone',\n 9: 'gear',\n 10: 'rpm',\n 11: 'bpm',\n 12: 'degrees',\n 13: 'millimeters',\n 14: 'meters',\n 15: 'kilometers',\n 16: 'feet',\n 17: 'yards',\n 18: 'kilofeet',\n 19: 'miles',\n 20: 'time',\n 21: 'enum_turn_type',\n 22: 'percent',\n 23: 'watts',\n 24: 'watts_per_kilogram',\n 25: 'enum_battery_status',\n 26: 'enum_bike_light_beam_angle_mode',\n 27: 'enum_bike_light_battery_status',\n 28: 'enum_bike_light_network_config_type',\n 29: 'lights',\n 30: 'seconds',\n 31: 'minutes',\n 32: 'hours',\n 33: 'calories',\n 34: 'kilojoules',\n 35: 'milliseconds',\n 36: 'second_per_mile',\n 37: 'second_per_kilometer',\n 38: 'centimeter',\n 39: 'enum_course_point',\n 40: 'bradians',\n 41: 'enum_sport',\n 42: 'inches_hg',\n 43: 'mm_hg',\n 44: 'mbars',\n 45: 'hecto_pascals',\n 46: 'feet_per_min',\n 47: 'meters_per_min',\n 48: 'meters_per_sec',\n 49: 'eight_cardinal',\n },\n exd_qualifiers: {\n 0: 'no_qualifier',\n 1: 'instantaneous',\n 2: 'average',\n 3: 'lap',\n 4: 'maximum',\n 5: 'maximum_average',\n 6: 'maximum_lap',\n 7: 'last_lap',\n 8: 'average_lap',\n 9: 'to_destination',\n 10: 'to_go',\n 11: 'to_next',\n 12: 'next_course_point',\n 13: 'total',\n 14: 'three_second_average',\n 15: 'ten_second_average',\n 16: 'thirty_second_average',\n 17: 'percent_maximum',\n 18: 'percent_maximum_average',\n 19: 'lap_percent_maximum',\n 20: 'elapsed',\n 21: 'sunrise',\n 22: 'sunset',\n 23: 'compared_to_virtual_partner',\n 24: 'maximum_24h',\n 25: 'minimum_24h',\n 26: 'minimum',\n 27: 'first',\n 28: 'second',\n 29: 'third',\n 30: 'shifter',\n 31: 'last_sport',\n 32: 'moving',\n 33: 'stopped',\n 34: 'estimated_total',\n 242: 'zone_9',\n 243: 'zone_8',\n 244: 'zone_7',\n 245: 'zone_6',\n 246: 'zone_5',\n 247: 'zone_4',\n 248: 'zone_3',\n 249: 'zone_2',\n 250: 'zone_1',\n },\n exd_descriptors: {\n 0: 'bike_light_battery_status',\n 1: 'beam_angle_status',\n 2: 'batery_level',\n 3: 'light_network_mode',\n 4: 'number_lights_connected',\n 5: 'cadence',\n 6: 'distance',\n 7: 'estimated_time_of_arrival',\n 8: 'heading',\n 9: 'time',\n 10: 'battery_level',\n 11: 'trainer_resistance',\n 12: 'trainer_target_power',\n 13: 'time_seated',\n 14: 'time_standing',\n 15: 'elevation',\n 16: 'grade',\n 17: 'ascent',\n 18: 'descent',\n 19: 'vertical_speed',\n 20: 'di2_battery_level',\n 21: 'front_gear',\n 22: 'rear_gear',\n 23: 'gear_ratio',\n 24: 'heart_rate',\n 25: 'heart_rate_zone',\n 26: 'time_in_heart_rate_zone',\n 27: 'heart_rate_reserve',\n 28: 'calories',\n 29: 'gps_accuracy',\n 30: 'gps_signal_strength',\n 31: 'temperature',\n 32: 'time_of_day',\n 33: 'balance',\n 34: 'pedal_smoothness',\n 35: 'power',\n 36: 'functional_threshold_power',\n 37: 'intensity_factor',\n 38: 'work',\n 39: 'power_ratio',\n 40: 'normalized_power',\n 41: 'training_stress_Score',\n 42: 'time_on_zone',\n 43: 'speed',\n 44: 'laps',\n 45: 'reps',\n 46: 'workout_step',\n 47: 'course_distance',\n 48: 'navigation_distance',\n 49: 'course_estimated_time_of_arrival',\n 50: 'navigation_estimated_time_of_arrival',\n 51: 'course_time',\n 52: 'navigation_time',\n 53: 'course_heading',\n 54: 'navigation_heading',\n 55: 'power_zone',\n 56: 'torque_effectiveness',\n 57: 'timer_time',\n 58: 'power_weight_ratio',\n 59: 'left_platform_center_offset',\n 60: 'right_platform_center_offset',\n 61: 'left_power_phase_start_angle',\n 62: 'right_power_phase_start_angle',\n 63: 'left_power_phase_finish_angle',\n 64: 'right_power_phase_finish_angle',\n 65: 'gears',\n 66: 'pace',\n 67: 'training_effect',\n 68: 'vertical_oscillation',\n 69: 'vertical_ratio',\n 70: 'ground_contact_time',\n 71: 'left_ground_contact_time_balance',\n 72: 'right_ground_contact_time_balance',\n 73: 'stride_length',\n 74: 'running_cadence',\n 75: 'performance_condition',\n 76: 'course_type',\n 77: 'time_in_power_zone',\n 78: 'navigation_turn',\n 79: 'course_location',\n 80: 'navigation_location',\n 81: 'compass',\n 82: 'gear_combo',\n 83: 'muscle_oxygen',\n 84: 'icon',\n 85: 'compass_heading',\n 86: 'gps_heading',\n 87: 'gps_elevation',\n 88: 'anaerobic_training_effect',\n 89: 'course',\n 90: 'off_course',\n 91: 'glide_ratio',\n 92: 'vertical_distance',\n 93: 'vmg',\n 94: 'ambient_pressure',\n 95: 'pressure',\n 96: 'vam',\n },\n auto_activity_detect: {\n 0: 'none',\n 1: 'running',\n 2: 'cycling',\n 4: 'swimming',\n 8: 'walking',\n 16: 'elliptical',\n 32: 'sedentary',\n },\n supported_exd_screen_layouts: {\n 0: 0,\n 1: 'full_screen',\n 2: 'half_vertical',\n 4: 'half_horizontal',\n 8: 'half_vertical_right_split',\n 16: 'half_horizontal_bottom_split',\n 32: 'full_quarter_split',\n 64: 'half_vertical_left_split',\n 128: 'half_horizontal_top_split',\n },\n fit_base_type: {\n 0: 'enum',\n 1: 'sint8',\n 2: 'uint8',\n 7: 'string',\n 10: 'uint8z',\n 13: 'byte',\n 131: 'sint16',\n 132: 'uint16',\n 133: 'sint32',\n 134: 'uint32',\n 136: 'float32',\n 137: 'float64',\n 139: 'uint16z',\n 140: 'uint32z',\n 142: 'sint64',\n 143: 'uint64',\n 144: 'uint64z',\n },\n turn_type: {\n 0: 'arriving_idx',\n 1: 'arriving_left_idx',\n 2: 'arriving_right_idx',\n 3: 'arriving_via_idx',\n 4: 'arriving_via_left_idx',\n 5: 'arriving_via_right_idx',\n 6: 'bear_keep_left_idx',\n 7: 'bear_keep_right_idx',\n 8: 'continue_idx',\n 9: 'exit_left_idx',\n 10: 'exit_right_idx',\n 11: 'ferry_idx',\n 12: 'roundabout_45_idx',\n 13: 'roundabout_90_idx',\n 14: 'roundabout_135_idx',\n 15: 'roundabout_180_idx',\n 16: 'roundabout_225_idx',\n 17: 'roundabout_270_idx',\n 18: 'roundabout_315_idx',\n 19: 'roundabout_360_idx',\n 20: 'roundabout_neg_45_idx',\n 21: 'roundabout_neg_90_idx',\n 22: 'roundabout_neg_135_idx',\n 23: 'roundabout_neg_180_idx',\n 24: 'roundabout_neg_225_idx',\n 25: 'roundabout_neg_270_idx',\n 26: 'roundabout_neg_315_idx',\n 27: 'roundabout_neg_360_idx',\n 28: 'roundabout_generic_idx',\n 29: 'roundabout_neg_generic_idx',\n 30: 'sharp_turn_left_idx',\n 31: 'sharp_turn_right_idx',\n 32: 'turn_left_idx',\n 33: 'turn_right_idx',\n 34: 'uturn_left_idx',\n 35: 'uturn_right_idx',\n 36: 'icon_inv_idx',\n 37: 'icon_idx_cnt',\n },\n bike_light_beam_angle_mode: {\n 0: 'manual',\n 1: 'auto',\n },\n fit_base_unit: {\n 0: 'other',\n 1: 'kilogram',\n 2: 'pound',\n },\n set_type: {\n 0: 'rest',\n 1: 'active',\n },\n exercise_category: {\n 0: 'bench_press',\n 1: 'calf_raise',\n 2: 'cardio',\n 3: 'carry',\n 4: 'chop',\n 5: 'core',\n 6: 'crunch',\n 7: 'curl',\n 8: 'deadlift',\n 9: 'flye',\n 10: 'hip_raise',\n 11: 'hip_stability',\n 12: 'hip_swing',\n 13: 'hyperextension',\n 14: 'lateral_raise',\n 15: 'leg_curl',\n 16: 'leg_raise',\n 17: 'lunge',\n 18: 'olympic_lift',\n 19: 'plank',\n 20: 'plyo',\n 21: 'pull_up',\n 22: 'push_up',\n 23: 'row',\n 24: 'shoulder_press',\n 25: 'shoulder_stability',\n 26: 'shrug',\n 27: 'sit_up',\n 28: 'squat',\n 29: 'total_body',\n 30: 'triceps_extension',\n 31: 'warm_up',\n 32: 'run',\n 65534: 'unknown',\n },\n bench_press_exercise_name: {\n 0: 'alternating_dumbbell_chest_press_on_swiss_ball',\n 1: 'barbell_bench_press',\n 2: 'barbell_board_bench_press',\n 3: 'barbell_floor_press',\n 4: 'close_grip_barbell_bench_press',\n 5: 'decline_dumbbell_bench_press',\n 6: 'dumbbell_bench_press',\n 7: 'dumbbell_floor_press',\n 8: 'incline_barbell_bench_press',\n 9: 'incline_dumbbell_bench_press',\n 10: 'incline_smith_machine_bench_press',\n 11: 'isometric_barbell_bench_press',\n 12: 'kettlebell_chest_press',\n 13: 'neutral_grip_dumbbell_bench_press',\n 14: 'neutral_grip_dumbbell_incline_bench_press',\n 15: 'one_arm_floor_press',\n 16: 'weighted_one_arm_floor_press',\n 17: 'partial_lockout',\n 18: 'reverse_grip_barbell_bench_press',\n 19: 'reverse_grip_incline_bench_press',\n 20: 'single_arm_cable_chest_press',\n 21: 'single_arm_dumbbell_bench_press',\n 22: 'smith_machine_bench_press',\n 23: 'swiss_ball_dumbbell_chest_press',\n 24: 'triple_stop_barbell_bench_press',\n 25: 'wide_grip_barbell_bench_press',\n 26: 'alternating_dumbbell_chest_press',\n },\n calf_raise_exercise_name: {\n 0: '3_way_calf_raise',\n 1: '3_way_weighted_calf_raise',\n 2: '3_way_single_leg_calf_raise',\n 3: '3_way_weighted_single_leg_calf_raise',\n 4: 'donkey_calf_raise',\n 5: 'weighted_donkey_calf_raise',\n 6: 'seated_calf_raise',\n 7: 'weighted_seated_calf_raise',\n 8: 'seated_dumbbell_toe_raise',\n 9: 'single_leg_bent_knee_calf_raise',\n 10: 'weighted_single_leg_bent_knee_calf_raise',\n 11: 'single_leg_decline_push_up',\n 12: 'single_leg_donkey_calf_raise',\n 13: 'weighted_single_leg_donkey_calf_raise',\n 14: 'single_leg_hip_raise_with_knee_hold',\n 15: 'single_leg_standing_calf_raise',\n 16: 'single_leg_standing_dumbbell_calf_raise',\n 17: 'standing_barbell_calf_raise',\n 18: 'standing_calf_raise',\n 19: 'weighted_standing_calf_raise',\n 20: 'standing_dumbbell_calf_raise',\n },\n cardio_exercise_name: {\n 0: 'bob_and_weave_circle',\n 1: 'weighted_bob_and_weave_circle',\n 2: 'cardio_core_crawl',\n 3: 'weighted_cardio_core_crawl',\n 4: 'double_under',\n 5: 'weighted_double_under',\n 6: 'jump_rope',\n 7: 'weighted_jump_rope',\n 8: 'jump_rope_crossover',\n 9: 'weighted_jump_rope_crossover',\n 10: 'jump_rope_jog',\n 11: 'weighted_jump_rope_jog',\n 12: 'jumping_jacks',\n 13: 'weighted_jumping_jacks',\n 14: 'ski_moguls',\n 15: 'weighted_ski_moguls',\n 16: 'split_jacks',\n 17: 'weighted_split_jacks',\n 18: 'squat_jacks',\n 19: 'weighted_squat_jacks',\n 20: 'triple_under',\n 21: 'weighted_triple_under',\n },\n carry_exercise_name: {\n 0: 'bar_holds',\n 1: 'farmers_walk',\n 2: 'farmers_walk_on_toes',\n 3: 'hex_dumbbell_hold',\n 4: 'overhead_carry',\n },\n chop_exercise_name: {\n 0: 'cable_pull_through',\n 1: 'cable_rotational_lift',\n 2: 'cable_woodchop',\n 3: 'cross_chop_to_knee',\n 4: 'weighted_cross_chop_to_knee',\n 5: 'dumbbell_chop',\n 6: 'half_kneeling_rotation',\n 7: 'weighted_half_kneeling_rotation',\n 8: 'half_kneeling_rotational_chop',\n 9: 'half_kneeling_rotational_reverse_chop',\n 10: 'half_kneeling_stability_chop',\n 11: 'half_kneeling_stability_reverse_chop',\n 12: 'kneeling_rotational_chop',\n 13: 'kneeling_rotational_reverse_chop',\n 14: 'kneeling_stability_chop',\n 15: 'kneeling_woodchopper',\n 16: 'medicine_ball_wood_chops',\n 17: 'power_squat_chops',\n 18: 'weighted_power_squat_chops',\n 19: 'standing_rotational_chop',\n 20: 'standing_split_rotational_chop',\n 21: 'standing_split_rotational_reverse_chop',\n 22: 'standing_stability_reverse_chop',\n },\n core_exercise_name: {\n 0: 'abs_jabs',\n 1: 'weighted_abs_jabs',\n 2: 'alternating_plate_reach',\n 3: 'barbell_rollout',\n 4: 'weighted_barbell_rollout',\n 5: 'body_bar_oblique_twist',\n 6: 'cable_core_press',\n 7: 'cable_side_bend',\n 8: 'side_bend',\n 9: 'weighted_side_bend',\n 10: 'crescent_circle',\n 11: 'weighted_crescent_circle',\n 12: 'cycling_russian_twist',\n 13: 'weighted_cycling_russian_twist',\n 14: 'elevated_feet_russian_twist',\n 15: 'weighted_elevated_feet_russian_twist',\n 16: 'half_turkish_get_up',\n 17: 'kettlebell_windmill',\n 18: 'kneeling_ab_wheel',\n 19: 'weighted_kneeling_ab_wheel',\n 20: 'modified_front_lever',\n 21: 'open_knee_tucks',\n 22: 'weighted_open_knee_tucks',\n 23: 'side_abs_leg_lift',\n 24: 'weighted_side_abs_leg_lift',\n 25: 'swiss_ball_jackknife',\n 26: 'weighted_swiss_ball_jackknife',\n 27: 'swiss_ball_pike',\n 28: 'weighted_swiss_ball_pike',\n 29: 'swiss_ball_rollout',\n 30: 'weighted_swiss_ball_rollout',\n 31: 'triangle_hip_press',\n 32: 'weighted_triangle_hip_press',\n 33: 'trx_suspended_jackknife',\n 34: 'weighted_trx_suspended_jackknife',\n 35: 'u_boat',\n 36: 'weighted_u_boat',\n 37: 'windmill_switches',\n 38: 'weighted_windmill_switches',\n 39: 'alternating_slide_out',\n 40: 'weighted_alternating_slide_out',\n 41: 'ghd_back_extensions',\n 42: 'weighted_ghd_back_extensions',\n 43: 'overhead_walk',\n 44: 'inchworm',\n 45: 'weighted_modified_front_lever',\n 46: 'russian_twist',\n 47: 'abdominal_leg_rotations',\n 48: 'arm_and_leg_extension_on_knees',\n 49: 'bicycle',\n 50: 'bicep_curl_with_leg_extension',\n 51: 'cat_cow',\n 52: 'corkscrew',\n 53: 'criss_cross',\n 54: 'criss_cross_with_ball',\n 55: 'double_leg_stretch',\n 56: 'knee_folds',\n 57: 'lower_lift',\n 58: 'neck_pull',\n 59: 'pelvic_clocks',\n 60: 'roll_over',\n 61: 'roll_up',\n 62: 'rolling',\n 63: 'rowing_1',\n 64: 'rowing_2',\n 65: 'scissors',\n 66: 'single_leg_circles',\n 67: 'single_leg_stretch',\n 68: 'snake_twist_1_and_2',\n 69: 'swan',\n 70: 'swimming',\n 71: 'teaser',\n 72: 'the_hundred',\n },\n crunch_exercise_name: {\n 0: 'bicycle_crunch',\n 1: 'cable_crunch',\n 2: 'circular_arm_crunch',\n 3: 'crossed_arms_crunch',\n 4: 'weighted_crossed_arms_crunch',\n 5: 'cross_leg_reverse_crunch',\n 6: 'weighted_cross_leg_reverse_crunch',\n 7: 'crunch_chop',\n 8: 'weighted_crunch_chop',\n 9: 'double_crunch',\n 10: 'weighted_double_crunch',\n 11: 'elbow_to_knee_crunch',\n 12: 'weighted_elbow_to_knee_crunch',\n 13: 'flutter_kicks',\n 14: 'weighted_flutter_kicks',\n 15: 'foam_roller_reverse_crunch_on_bench',\n 16: 'weighted_foam_roller_reverse_crunch_on_bench',\n 17: 'foam_roller_reverse_crunch_with_dumbbell',\n 18: 'foam_roller_reverse_crunch_with_medicine_ball',\n 19: 'frog_press',\n 20: 'hanging_knee_raise_oblique_crunch',\n 21: 'weighted_hanging_knee_raise_oblique_crunch',\n 22: 'hip_crossover',\n 23: 'weighted_hip_crossover',\n 24: 'hollow_rock',\n 25: 'weighted_hollow_rock',\n 26: 'incline_reverse_crunch',\n 27: 'weighted_incline_reverse_crunch',\n 28: 'kneeling_cable_crunch',\n 29: 'kneeling_cross_crunch',\n 30: 'weighted_kneeling_cross_crunch',\n 31: 'kneeling_oblique_cable_crunch',\n 32: 'knees_to_elbow',\n 33: 'leg_extensions',\n 34: 'weighted_leg_extensions',\n 35: 'leg_levers',\n 36: 'mcgill_curl_up',\n 37: 'weighted_mcgill_curl_up',\n 38: 'modified_pilates_roll_up_with_ball',\n 39: 'weighted_modified_pilates_roll_up_with_ball',\n 40: 'pilates_crunch',\n 41: 'weighted_pilates_crunch',\n 42: 'pilates_roll_up_with_ball',\n 43: 'weighted_pilates_roll_up_with_ball',\n 44: 'raised_legs_crunch',\n 45: 'weighted_raised_legs_crunch',\n 46: 'reverse_crunch',\n 47: 'weighted_reverse_crunch',\n 48: 'reverse_crunch_on_a_bench',\n 49: 'weighted_reverse_crunch_on_a_bench',\n 50: 'reverse_curl_and_lift',\n 51: 'weighted_reverse_curl_and_lift',\n 52: 'rotational_lift',\n 53: 'weighted_rotational_lift',\n 54: 'seated_alternating_reverse_crunch',\n 55: 'weighted_seated_alternating_reverse_crunch',\n 56: 'seated_leg_u',\n 57: 'weighted_seated_leg_u',\n 58: 'side_to_side_crunch_and_weave',\n 59: 'weighted_side_to_side_crunch_and_weave',\n 60: 'single_leg_reverse_crunch',\n 61: 'weighted_single_leg_reverse_crunch',\n 62: 'skater_crunch_cross',\n 63: 'weighted_skater_crunch_cross',\n 64: 'standing_cable_crunch',\n 65: 'standing_side_crunch',\n 66: 'step_climb',\n 67: 'weighted_step_climb',\n 68: 'swiss_ball_crunch',\n 69: 'swiss_ball_reverse_crunch',\n 70: 'weighted_swiss_ball_reverse_crunch',\n 71: 'swiss_ball_russian_twist',\n 72: 'weighted_swiss_ball_russian_twist',\n 73: 'swiss_ball_side_crunch',\n 74: 'weighted_swiss_ball_side_crunch',\n 75: 'thoracic_crunches_on_foam_roller',\n 76: 'weighted_thoracic_crunches_on_foam_roller',\n 77: 'triceps_crunch',\n 78: 'weighted_bicycle_crunch',\n 79: 'weighted_crunch',\n 80: 'weighted_swiss_ball_crunch',\n 81: 'toes_to_bar',\n 82: 'weighted_toes_to_bar',\n 83: 'crunch',\n 84: 'straight_leg_crunch_with_ball',\n },\n curl_exercise_name: {\n 0: 'alternating_dumbbell_biceps_curl',\n 1: 'alternating_dumbbell_biceps_curl_on_swiss_ball',\n 2: 'alternating_incline_dumbbell_biceps_curl',\n 3: 'barbell_biceps_curl',\n 4: 'barbell_reverse_wrist_curl',\n 5: 'barbell_wrist_curl',\n 6: 'behind_the_back_barbell_reverse_wrist_curl',\n 7: 'behind_the_back_one_arm_cable_curl',\n 8: 'cable_biceps_curl',\n 9: 'cable_hammer_curl',\n 10: 'cheating_barbell_biceps_curl',\n 11: 'close_grip_ez_bar_biceps_curl',\n 12: 'cross_body_dumbbell_hammer_curl',\n 13: 'dead_hang_biceps_curl',\n 14: 'decline_hammer_curl',\n 15: 'dumbbell_biceps_curl_with_static_hold',\n 16: 'dumbbell_hammer_curl',\n 17: 'dumbbell_reverse_wrist_curl',\n 18: 'dumbbell_wrist_curl',\n 19: 'ez_bar_preacher_curl',\n 20: 'forward_bend_biceps_curl',\n 21: 'hammer_curl_to_press',\n 22: 'incline_dumbbell_biceps_curl',\n 23: 'incline_offset_thumb_dumbbell_curl',\n 24: 'kettlebell_biceps_curl',\n 25: 'lying_concentration_cable_curl',\n 26: 'one_arm_preacher_curl',\n 27: 'plate_pinch_curl',\n 28: 'preacher_curl_with_cable',\n 29: 'reverse_ez_bar_curl',\n 30: 'reverse_grip_wrist_curl',\n 31: 'reverse_grip_barbell_biceps_curl',\n 32: 'seated_alternating_dumbbell_biceps_curl',\n 33: 'seated_dumbbell_biceps_curl',\n 34: 'seated_reverse_dumbbell_curl',\n 35: 'split_stance_offset_pinky_dumbbell_curl',\n 36: 'standing_alternating_dumbbell_curls',\n 37: 'standing_dumbbell_biceps_curl',\n 38: 'standing_ez_bar_biceps_curl',\n 39: 'static_curl',\n 40: 'swiss_ball_dumbbell_overhead_triceps_extension',\n 41: 'swiss_ball_ez_bar_preacher_curl',\n 42: 'twisting_standing_dumbbell_biceps_curl',\n 43: 'wide_grip_ez_bar_biceps_curl',\n },\n deadlift_exercise_name: {\n 0: 'barbell_deadlift',\n 1: 'barbell_straight_leg_deadlift',\n 2: 'dumbbell_deadlift',\n 3: 'dumbbell_single_leg_deadlift_to_row',\n 4: 'dumbbell_straight_leg_deadlift',\n 5: 'kettlebell_floor_to_shelf',\n 6: 'one_arm_one_leg_deadlift',\n 7: 'rack_pull',\n 8: 'rotational_dumbbell_straight_leg_deadlift',\n 9: 'single_arm_deadlift',\n 10: 'single_leg_barbell_deadlift',\n 11: 'single_leg_barbell_straight_leg_deadlift',\n 12: 'single_leg_deadlift_with_barbell',\n 13: 'single_leg_rdl_circuit',\n 14: 'single_leg_romanian_deadlift_with_dumbbell',\n 15: 'sumo_deadlift',\n 16: 'sumo_deadlift_high_pull',\n 17: 'trap_bar_deadlift',\n 18: 'wide_grip_barbell_deadlift',\n },\n flye_exercise_name: {\n 0: 'cable_crossover',\n 1: 'decline_dumbbell_flye',\n 2: 'dumbbell_flye',\n 3: 'incline_dumbbell_flye',\n 4: 'kettlebell_flye',\n 5: 'kneeling_rear_flye',\n 6: 'single_arm_standing_cable_reverse_flye',\n 7: 'swiss_ball_dumbbell_flye',\n 8: 'arm_rotations',\n 9: 'hug_a_tree',\n },\n hip_raise_exercise_name: {\n 0: 'barbell_hip_thrust_on_floor',\n 1: 'barbell_hip_thrust_with_bench',\n 2: 'bent_knee_swiss_ball_reverse_hip_raise',\n 3: 'weighted_bent_knee_swiss_ball_reverse_hip_raise',\n 4: 'bridge_with_leg_extension',\n 5: 'weighted_bridge_with_leg_extension',\n 6: 'clam_bridge',\n 7: 'front_kick_tabletop',\n 8: 'weighted_front_kick_tabletop',\n 9: 'hip_extension_and_cross',\n 10: 'weighted_hip_extension_and_cross',\n 11: 'hip_raise',\n 12: 'weighted_hip_raise',\n 13: 'hip_raise_with_feet_on_swiss_ball',\n 14: 'weighted_hip_raise_with_feet_on_swiss_ball',\n 15: 'hip_raise_with_head_on_bosu_ball',\n 16: 'weighted_hip_raise_with_head_on_bosu_ball',\n 17: 'hip_raise_with_head_on_swiss_ball',\n 18: 'weighted_hip_raise_with_head_on_swiss_ball',\n 19: 'hip_raise_with_knee_squeeze',\n 20: 'weighted_hip_raise_with_knee_squeeze',\n 21: 'incline_rear_leg_extension',\n 22: 'weighted_incline_rear_leg_extension',\n 23: 'kettlebell_swing',\n 24: 'marching_hip_raise',\n 25: 'weighted_marching_hip_raise',\n 26: 'marching_hip_raise_with_feet_on_a_swiss_ball',\n 27: 'weighted_marching_hip_raise_with_feet_on_a_swiss_ball',\n 28: 'reverse_hip_raise',\n 29: 'weighted_reverse_hip_raise',\n 30: 'single_leg_hip_raise',\n 31: 'weighted_single_leg_hip_raise',\n 32: 'single_leg_hip_raise_with_foot_on_bench',\n 33: 'weighted_single_leg_hip_raise_with_foot_on_bench',\n 34: 'single_leg_hip_raise_with_foot_on_bosu_ball',\n 35: 'weighted_single_leg_hip_raise_with_foot_on_bosu_ball',\n 36: 'single_leg_hip_raise_with_foot_on_foam_roller',\n 37: 'weighted_single_leg_hip_raise_with_foot_on_foam_roller',\n 38: 'single_leg_hip_raise_with_foot_on_medicine_ball',\n 39: 'weighted_single_leg_hip_raise_with_foot_on_medicine_ball',\n 40: 'single_leg_hip_raise_with_head_on_bosu_ball',\n 41: 'weighted_single_leg_hip_raise_with_head_on_bosu_ball',\n 42: 'weighted_clam_bridge',\n 43: 'single_leg_swiss_ball_hip_raise_and_leg_curl',\n 44: 'clams',\n 45: 'inner_thigh_circles',\n 46: 'inner_thigh_side_lift',\n 47: 'leg_circles',\n 48: 'leg_lift',\n 49: 'leg_lift_in_external_rotation',\n },\n hip_stability_exercise_name: {\n 0: 'band_side_lying_leg_raise',\n 1: 'dead_bug',\n 2: 'weighted_dead_bug',\n 3: 'external_hip_raise',\n 4: 'weighted_external_hip_raise',\n 5: 'fire_hydrant_kicks',\n 6: 'weighted_fire_hydrant_kicks',\n 7: 'hip_circles',\n 8: 'weighted_hip_circles',\n 9: 'inner_thigh_lift',\n 10: 'weighted_inner_thigh_lift',\n 11: 'lateral_walks_with_band_at_ankles',\n 12: 'pretzel_side_kick',\n 13: 'weighted_pretzel_side_kick',\n 14: 'prone_hip_internal_rotation',\n 15: 'weighted_prone_hip_internal_rotation',\n 16: 'quadruped',\n 17: 'quadruped_hip_extension',\n 18: 'weighted_quadruped_hip_extension',\n 19: 'quadruped_with_leg_lift',\n 20: 'weighted_quadruped_with_leg_lift',\n 21: 'side_lying_leg_raise',\n 22: 'weighted_side_lying_leg_raise',\n 23: 'sliding_hip_adduction',\n 24: 'weighted_sliding_hip_adduction',\n 25: 'standing_adduction',\n 26: 'weighted_standing_adduction',\n 27: 'standing_cable_hip_abduction',\n 28: 'standing_hip_abduction',\n 29: 'weighted_standing_hip_abduction',\n 30: 'standing_rear_leg_raise',\n 31: 'weighted_standing_rear_leg_raise',\n 32: 'supine_hip_internal_rotation',\n 33: 'weighted_supine_hip_internal_rotation',\n },\n hip_swing_excercise_name: {\n 0: 'single_arm_kettlebell_swing',\n 1: 'single_arm_dumbbell_swing',\n 2: 'step_out_swing',\n },\n hyperextension_exercise_name: {\n 0: 'back_extension_with_opposite_arm_and_leg_reach',\n 1: 'weighted_back_extension_with_opposite_arm_and_leg_reach',\n 2: 'base_rotations',\n 3: 'weighted_base_rotations',\n 4: 'bent_knee_reverse_hyperextension',\n 5: 'weighted_bent_knee_reverse_hyperextension',\n 6: 'hollow_hold_and_roll',\n 7: 'weighted_hollow_hold_and_roll',\n 8: 'kicks',\n 9: 'weighted_kicks',\n 10: 'knee_raises',\n 11: 'weighted_knee_raises',\n 12: 'kneeling_superman',\n 13: 'weighted_kneeling_superman',\n 14: 'lat_pull_down_with_row',\n 15: 'medicine_ball_deadlift_to_reach',\n 16: 'one_arm_one_leg_row',\n 17: 'one_arm_row_with_band',\n 18: 'overhead_lunge_with_medicine_ball',\n 19: 'plank_knee_tucks',\n 20: 'weighted_plank_knee_tucks',\n 21: 'side_step',\n 22: 'weighted_side_step',\n 23: 'single_leg_back_extension',\n 24: 'weighted_single_leg_back_extension',\n 25: 'spine_extension',\n 26: 'weighted_spine_extension',\n 27: 'static_back_extension',\n 28: 'weighted_static_back_extension',\n 29: 'superman_from_floor',\n 30: 'weighted_superman_from_floor',\n 31: 'swiss_ball_back_extension',\n 32: 'weighted_swiss_ball_back_extension',\n 33: 'swiss_ball_hyperextension',\n 34: 'weighted_swiss_ball_hyperextension',\n 35: 'swiss_ball_opposite_arm_and_leg_lift',\n 36: 'weighted_swiss_ball_opposite_arm_and_leg_lift',\n 37: 'superman_on_swiss_ball',\n 38: 'cobra',\n 39: 'supine_floor_barre',\n },\n lateral_raise_exercise_name: {\n 0: '45_degree_cable_external_rotation',\n 1: 'alternating_lateral_raise_with_static_hold',\n 2: 'bar_muscle_up',\n 3: 'bent_over_lateral_raise',\n 4: 'cable_diagonal_raise',\n 5: 'cable_front_raise',\n 6: 'calorie_row',\n 7: 'combo_shoulder_raise',\n 8: 'dumbbell_diagonal_raise',\n 9: 'dumbbell_v_raise',\n 10: 'front_raise',\n 11: 'leaning_dumbbell_lateral_raise',\n 12: 'lying_dumbbell_raise',\n 13: 'muscle_up',\n 14: 'one_arm_cable_lateral_raise',\n 15: 'overhand_grip_rear_lateral_raise',\n 16: 'plate_raises',\n 17: 'ring_dip',\n 18: 'weighted_ring_dip',\n 19: 'ring_muscle_up',\n 20: 'weighted_ring_muscle_up',\n 21: 'rope_climb',\n 22: 'weighted_rope_climb',\n 23: 'scaption',\n 24: 'seated_lateral_raise',\n 25: 'seated_rear_lateral_raise',\n 26: 'side_lying_lateral_raise',\n 27: 'standing_lift',\n 28: 'suspended_row',\n 29: 'underhand_grip_rear_lateral_raise',\n 30: 'wall_slide',\n 31: 'weighted_wall_slide',\n 32: 'arm_circles',\n 33: 'shaving_the_head',\n },\n leg_curl_exercise_name: {\n 0: 'leg_curl',\n 1: 'weighted_leg_curl',\n 2: 'good_morning',\n 3: 'seated_barbell_good_morning',\n 4: 'single_leg_barbell_good_morning',\n 5: 'single_leg_sliding_leg_curl',\n 6: 'sliding_leg_curl',\n 7: 'split_barbell_good_morning',\n 8: 'split_stance_extension',\n 9: 'staggered_stance_good_morning',\n 10: 'swiss_ball_hip_raise_and_leg_curl',\n 11: 'zercher_good_morning',\n },\n leg_raise_exercise_name: {\n 0: 'hanging_knee_raise',\n 1: 'hanging_leg_raise',\n 2: 'weighted_hanging_leg_raise',\n 3: 'hanging_single_leg_raise',\n 4: 'weighted_hanging_single_leg_raise',\n 5: 'kettlebell_leg_raises',\n 6: 'leg_lowering_drill',\n 7: 'weighted_leg_lowering_drill',\n 8: 'lying_straight_leg_raise',\n 9: 'weighted_lying_straight_leg_raise',\n 10: 'medicine_ball_leg_drops',\n 11: 'quadruped_leg_raise',\n 12: 'weighted_quadruped_leg_raise',\n 13: 'reverse_leg_raise',\n 14: 'weighted_reverse_leg_raise',\n 15: 'reverse_leg_raise_on_swiss_ball',\n 16: 'weighted_reverse_leg_raise_on_swiss_ball',\n 17: 'single_leg_lowering_drill',\n 18: 'weighted_single_leg_lowering_drill',\n 19: 'weighted_hanging_knee_raise',\n 20: 'lateral_stepover',\n 21: 'weighted_lateral_stepover',\n },\n lunge_exercise_name: {\n 0: 'overhead_lunge',\n 1: 'lunge_matrix',\n 2: 'weighted_lunge_matrix',\n 3: 'alternating_barbell_forward_lunge',\n 4: 'alternating_dumbbell_lunge_with_reach',\n 5: 'back_foot_elevated_dumbbell_split_squat',\n 6: 'barbell_box_lunge',\n 7: 'barbell_bulgarian_split_squat',\n 8: 'barbell_crossover_lunge',\n 9: 'barbell_front_split_squat',\n 10: 'barbell_lunge',\n 11: 'barbell_reverse_lunge',\n 12: 'barbell_side_lunge',\n 13: 'barbell_split_squat',\n 14: 'core_control_rear_lunge',\n 15: 'diagonal_lunge',\n 16: 'drop_lunge',\n 17: 'dumbbell_box_lunge',\n 18: 'dumbbell_bulgarian_split_squat',\n 19: 'dumbbell_crossover_lunge',\n 20: 'dumbbell_diagonal_lunge',\n 21: 'dumbbell_lunge',\n 22: 'dumbbell_lunge_and_rotation',\n 23: 'dumbbell_overhead_bulgarian_split_squat',\n 24: 'dumbbell_reverse_lunge_to_high_knee_and_press',\n 25: 'dumbbell_side_lunge',\n 26: 'elevated_front_foot_barbell_split_squat',\n 27: 'front_foot_elevated_dumbbell_split_squat',\n 28: 'gunslinger_lunge',\n 29: 'lawnmower_lunge',\n 30: 'low_lunge_with_isometric_adduction',\n 31: 'low_side_to_side_lunge',\n 32: 'lunge',\n 33: 'weighted_lunge',\n 34: 'lunge_with_arm_reach',\n 35: 'lunge_with_diagonal_reach',\n 36: 'lunge_with_side_bend',\n 37: 'offset_dumbbell_lunge',\n 38: 'offset_dumbbell_reverse_lunge',\n 39: 'overhead_bulgarian_split_squat',\n 40: 'overhead_dumbbell_reverse_lunge',\n 41: 'overhead_dumbbell_split_squat',\n 42: 'overhead_lunge_with_rotation',\n 43: 'reverse_barbell_box_lunge',\n 44: 'reverse_box_lunge',\n 45: 'reverse_dumbbell_box_lunge',\n 46: 'reverse_dumbbell_crossover_lunge',\n 47: 'reverse_dumbbell_diagonal_lunge',\n 48: 'reverse_lunge_with_reach_back',\n 49: 'weighted_reverse_lunge_with_reach_back',\n 50: 'reverse_lunge_with_twist_and_overhead_reach',\n 51: 'weighted_reverse_lunge_with_twist_and_overhead_reach',\n 52: 'reverse_sliding_box_lunge',\n 53: 'weighted_reverse_sliding_box_lunge',\n 54: 'reverse_sliding_lunge',\n 55: 'weighted_reverse_sliding_lunge',\n 56: 'runners_lunge_to_balance',\n 57: 'weighted_runners_lunge_to_balance',\n 58: 'shifting_side_lunge',\n 59: 'side_and_crossover_lunge',\n 60: 'weighted_side_and_crossover_lunge',\n 61: 'side_lunge',\n 62: 'weighted_side_lunge',\n 63: 'side_lunge_and_press',\n 64: 'side_lunge_jump_off',\n 65: 'side_lunge_sweep',\n 66: 'weighted_side_lunge_sweep',\n 67: 'side_lunge_to_crossover_tap',\n 68: 'weighted_side_lunge_to_crossover_tap',\n 69: 'side_to_side_lunge_chops',\n 70: 'weighted_side_to_side_lunge_chops',\n 71: 'siff_jump_lunge',\n 72: 'weighted_siff_jump_lunge',\n 73: 'single_arm_reverse_lunge_and_press',\n 74: 'sliding_lateral_lunge',\n 75: 'weighted_sliding_lateral_lunge',\n 76: 'walking_barbell_lunge',\n 77: 'walking_dumbbell_lunge',\n 78: 'walking_lunge',\n 79: 'weighted_walking_lunge',\n 80: 'wide_grip_overhead_barbell_split_squat',\n },\n olympic_lift_exercise_name: {\n 0: 'barbell_hang_power_clean',\n 1: 'barbell_hang_squat_clean',\n 2: 'barbell_power_clean',\n 3: 'barbell_power_snatch',\n 4: 'barbell_squat_clean',\n 5: 'clean_and_jerk',\n 6: 'barbell_hang_power_snatch',\n 7: 'barbell_hang_pull',\n 8: 'barbell_high_pull',\n 9: 'barbell_snatch',\n 10: 'barbell_split_jerk',\n 11: 'clean',\n 12: 'dumbbell_clean',\n 13: 'dumbbell_hang_pull',\n 14: 'one_hand_dumbbell_split_snatch',\n 15: 'push_jerk',\n 16: 'single_arm_dumbbell_snatch',\n 17: 'single_arm_hang_snatch',\n 18: 'single_arm_kettlebell_snatch',\n 19: 'split_jerk',\n 20: 'squat_clean_and_jerk',\n },\n plank_exercise_name: {\n 0: '45_degree_plank',\n 1: 'weighted_45_degree_plank',\n 2: '90_degree_static_hold',\n 3: 'weighted_90_degree_static_hold',\n 4: 'bear_crawl',\n 5: 'weighted_bear_crawl',\n 6: 'cross_body_mountain_climber',\n 7: 'weighted_cross_body_mountain_climber',\n 8: 'elbow_plank_pike_jacks',\n 9: 'weighted_elbow_plank_pike_jacks',\n 10: 'elevated_feet_plank',\n 11: 'weighted_elevated_feet_plank',\n 12: 'elevator_abs',\n 13: 'weighted_elevator_abs',\n 14: 'extended_plank',\n 15: 'weighted_extended_plank',\n 16: 'full_plank_passe_twist',\n 17: 'weighted_full_plank_passe_twist',\n 18: 'inching_elbow_plank',\n 19: 'weighted_inching_elbow_plank',\n 20: 'inchworm_to_side_plank',\n 21: 'weighted_inchworm_to_side_plank',\n 22: 'kneeling_plank',\n 23: 'weighted_kneeling_plank',\n 24: 'kneeling_side_plank_with_leg_lift',\n 25: 'weighted_kneeling_side_plank_with_leg_lift',\n 26: 'lateral_roll',\n 27: 'weighted_lateral_roll',\n 28: 'lying_reverse_plank',\n 29: 'weighted_lying_reverse_plank',\n 30: 'medicine_ball_mountain_climber',\n 31: 'weighted_medicine_ball_mountain_climber',\n 32: 'modified_mountain_climber_and_extension',\n 33: 'weighted_modified_mountain_climber_and_extension',\n 34: 'mountain_climber',\n 35: 'weighted_mountain_climber',\n 36: 'mountain_climber_on_sliding_discs',\n 37: 'weighted_mountain_climber_on_sliding_discs',\n 38: 'mountain_climber_with_feet_on_bosu_ball',\n 39: 'weighted_mountain_climber_with_feet_on_bosu_ball',\n 40: 'mountain_climber_with_hands_on_bench',\n 41: 'mountain_climber_with_hands_on_swiss_ball',\n 42: 'weighted_mountain_climber_with_hands_on_swiss_ball',\n 43: 'plank',\n 44: 'plank_jacks_with_feet_on_sliding_discs',\n 45: 'weighted_plank_jacks_with_feet_on_sliding_discs',\n 46: 'plank_knee_twist',\n 47: 'weighted_plank_knee_twist',\n 48: 'plank_pike_jumps',\n 49: 'weighted_plank_pike_jumps',\n 50: 'plank_pikes',\n 51: 'weighted_plank_pikes',\n 52: 'plank_to_stand_up',\n 53: 'weighted_plank_to_stand_up',\n 54: 'plank_with_arm_raise',\n 55: 'weighted_plank_with_arm_raise',\n 56: 'plank_with_knee_to_elbow',\n 57: 'weighted_plank_with_knee_to_elbow',\n 58: 'plank_with_oblique_crunch',\n 59: 'weighted_plank_with_oblique_crunch',\n 60: 'plyometric_side_plank',\n 61: 'weighted_plyometric_side_plank',\n 62: 'rolling_side_plank',\n 63: 'weighted_rolling_side_plank',\n 64: 'side_kick_plank',\n 65: 'weighted_side_kick_plank',\n 66: 'side_plank',\n 67: 'weighted_side_plank',\n 68: 'side_plank_and_row',\n 69: 'weighted_side_plank_and_row',\n 70: 'side_plank_lift',\n 71: 'weighted_side_plank_lift',\n 72: 'side_plank_with_elbow_on_bosu_ball',\n 73: 'weighted_side_plank_with_elbow_on_bosu_ball',\n 74: 'side_plank_with_feet_on_bench',\n 75: 'weighted_side_plank_with_feet_on_bench',\n 76: 'side_plank_with_knee_circle',\n 77: 'weighted_side_plank_with_knee_circle',\n 78: 'side_plank_with_knee_tuck',\n 79: 'weighted_side_plank_with_knee_tuck',\n 80: 'side_plank_with_leg_lift',\n 81: 'weighted_side_plank_with_leg_lift',\n 82: 'side_plank_with_reach_under',\n 83: 'weighted_side_plank_with_reach_under',\n 84: 'single_leg_elevated_feet_plank',\n 85: 'weighted_single_leg_elevated_feet_plank',\n 86: 'single_leg_flex_and_extend',\n 87: 'weighted_single_leg_flex_and_extend',\n 88: 'single_leg_side_plank',\n 89: 'weighted_single_leg_side_plank',\n 90: 'spiderman_plank',\n 91: 'weighted_spiderman_plank',\n 92: 'straight_arm_plank',\n 93: 'weighted_straight_arm_plank',\n 94: 'straight_arm_plank_with_shoulder_touch',\n 95: 'weighted_straight_arm_plank_with_shoulder_touch',\n 96: 'swiss_ball_plank',\n 97: 'weighted_swiss_ball_plank',\n 98: 'swiss_ball_plank_leg_lift',\n 99: 'weighted_swiss_ball_plank_leg_lift',\n 100: 'swiss_ball_plank_leg_lift_and_hold',\n 101: 'swiss_ball_plank_with_feet_on_bench',\n 102: 'weighted_swiss_ball_plank_with_feet_on_bench',\n 103: 'swiss_ball_prone_jackknife',\n 104: 'weighted_swiss_ball_prone_jackknife',\n 105: 'swiss_ball_side_plank',\n 106: 'weighted_swiss_ball_side_plank',\n 107: 'three_way_plank',\n 108: 'weighted_three_way_plank',\n 109: 'towel_plank_and_knee_in',\n 110: 'weighted_towel_plank_and_knee_in',\n 111: 't_stabilization',\n 112: 'weighted_t_stabilization',\n 113: 'turkish_get_up_to_side_plank',\n 114: 'weighted_turkish_get_up_to_side_plank',\n 115: 'two_point_plank',\n 116: 'weighted_two_point_plank',\n 117: 'weighted_plank',\n 118: 'wide_stance_plank_with_diagonal_arm_lift',\n 119: 'weighted_wide_stance_plank_with_diagonal_arm_lift',\n 120: 'wide_stance_plank_with_diagonal_leg_lift',\n 121: 'weighted_wide_stance_plank_with_diagonal_leg_lift',\n 122: 'wide_stance_plank_with_leg_lift',\n 123: 'weighted_wide_stance_plank_with_leg_lift',\n 124: 'wide_stance_plank_with_opposite_arm_and_leg_lift',\n 125: 'weighted_mountain_climber_with_hands_on_bench',\n 126: 'weighted_swiss_ball_plank_leg_lift_and_hold',\n 127: 'weighted_wide_stance_plank_with_opposite_arm_and_leg_lift',\n 128: 'plank_with_feet_on_swiss_ball',\n 129: 'side_plank_to_plank_with_reach_under',\n 130: 'bridge_with_glute_lower_lift',\n 131: 'bridge_one_leg_bridge',\n 132: 'plank_with_arm_variations',\n 133: 'plank_with_leg_lift',\n 134: 'reverse_plank_with_leg_pull',\n },\n plyo_exercise_name: {\n 0: 'alternating_jump_lunge',\n 1: 'weighted_alternating_jump_lunge',\n 2: 'barbell_jump_squat',\n 3: 'body_weight_jump_squat',\n 4: 'weighted_jump_squat',\n 5: 'cross_knee_strike',\n 6: 'weighted_cross_knee_strike',\n 7: 'depth_jump',\n 8: 'weighted_depth_jump',\n 9: 'dumbbell_jump_squat',\n 10: 'dumbbell_split_jump',\n 11: 'front_knee_strike',\n 12: 'weighted_front_knee_strike',\n 13: 'high_box_jump',\n 14: 'weighted_high_box_jump',\n 15: 'isometric_explosive_body_weight_jump_squat',\n 16: 'weighted_isometric_explosive_jump_squat',\n 17: 'lateral_leap_and_hop',\n 18: 'weighted_lateral_leap_and_hop',\n 19: 'lateral_plyo_squats',\n 20: 'weighted_lateral_plyo_squats',\n 21: 'lateral_slide',\n 22: 'weighted_lateral_slide',\n 23: 'medicine_ball_overhead_throws',\n 24: 'medicine_ball_side_throw',\n 25: 'medicine_ball_slam',\n 26: 'side_to_side_medicine_ball_throws',\n 27: 'side_to_side_shuffle_jump',\n 28: 'weighted_side_to_side_shuffle_jump',\n 29: 'squat_jump_onto_box',\n 30: 'weighted_squat_jump_onto_box',\n 31: 'squat_jumps_in_and_out',\n 32: 'weighted_squat_jumps_in_and_out',\n },\n pull_up_exercise_name: {\n 0: 'banded_pull_ups',\n 1: '30_degree_lat_pulldown',\n 2: 'band_assisted_chin_up',\n 3: 'close_grip_chin_up',\n 4: 'weighted_close_grip_chin_up',\n 5: 'close_grip_lat_pulldown',\n 6: 'crossover_chin_up',\n 7: 'weighted_crossover_chin_up',\n 8: 'ez_bar_pullover',\n 9: 'hanging_hurdle',\n 10: 'weighted_hanging_hurdle',\n 11: 'kneeling_lat_pulldown',\n 12: 'kneeling_underhand_grip_lat_pulldown',\n 13: 'lat_pulldown',\n 14: 'mixed_grip_chin_up',\n 15: 'weighted_mixed_grip_chin_up',\n 16: 'mixed_grip_pull_up',\n 17: 'weighted_mixed_grip_pull_up',\n 18: 'reverse_grip_pulldown',\n 19: 'standing_cable_pullover',\n 20: 'straight_arm_pulldown',\n 21: 'swiss_ball_ez_bar_pullover',\n 22: 'towel_pull_up',\n 23: 'weighted_towel_pull_up',\n 24: 'weighted_pull_up',\n 25: 'wide_grip_lat_pulldown',\n 26: 'wide_grip_pull_up',\n 27: 'weighted_wide_grip_pull_up',\n 28: 'burpee_pull_up',\n 29: 'weighted_burpee_pull_up',\n 30: 'jumping_pull_ups',\n 31: 'weighted_jumping_pull_ups',\n 32: 'kipping_pull_up',\n 33: 'weighted_kipping_pull_up',\n 34: 'l_pull_up',\n 35: 'weighted_l_pull_up',\n 36: 'suspended_chin_up',\n 37: 'weighted_suspended_chin_up',\n 38: 'pull_up',\n },\n push_up_exercise_name: {\n 0: 'chest_press_with_band',\n 1: 'alternating_staggered_push_up',\n 2: 'weighted_alternating_staggered_push_up',\n 3: 'alternating_hands_medicine_ball_push_up',\n 4: 'weighted_alternating_hands_medicine_ball_push_up',\n 5: 'bosu_ball_push_up',\n 6: 'weighted_bosu_ball_push_up',\n 7: 'clapping_push_up',\n 8: 'weighted_clapping_push_up',\n 9: 'close_grip_medicine_ball_push_up',\n 10: 'weighted_close_grip_medicine_ball_push_up',\n 11: 'close_hands_push_up',\n 12: 'weighted_close_hands_push_up',\n 13: 'decline_push_up',\n 14: 'weighted_decline_push_up',\n 15: 'diamond_push_up',\n 16: 'weighted_diamond_push_up',\n 17: 'explosive_crossover_push_up',\n 18: 'weighted_explosive_crossover_push_up',\n 19: 'explosive_push_up',\n 20: 'weighted_explosive_push_up',\n 21: 'feet_elevated_side_to_side_push_up',\n 22: 'weighted_feet_elevated_side_to_side_push_up',\n 23: 'hand_release_push_up',\n 24: 'weighted_hand_release_push_up',\n 25: 'handstand_push_up',\n 26: 'weighted_handstand_push_up',\n 27: 'incline_push_up',\n 28: 'weighted_incline_push_up',\n 29: 'isometric_explosive_push_up',\n 30: 'weighted_isometric_explosive_push_up',\n 31: 'judo_push_up',\n 32: 'weighted_judo_push_up',\n 33: 'kneeling_push_up',\n 34: 'weighted_kneeling_push_up',\n 35: 'medicine_ball_chest_pass',\n 36: 'medicine_ball_push_up',\n 37: 'weighted_medicine_ball_push_up',\n 38: 'one_arm_push_up',\n 39: 'weighted_one_arm_push_up',\n 40: 'weighted_push_up',\n 41: 'push_up_and_row',\n 42: 'weighted_push_up_and_row',\n 43: 'push_up_plus',\n 44: 'weighted_push_up_plus',\n 45: 'push_up_with_feet_on_swiss_ball',\n 46: 'weighted_push_up_with_feet_on_swiss_ball',\n 47: 'push_up_with_one_hand_on_medicine_ball',\n 48: 'weighted_push_up_with_one_hand_on_medicine_ball',\n 49: 'shoulder_push_up',\n 50: 'weighted_shoulder_push_up',\n 51: 'single_arm_medicine_ball_push_up',\n 52: 'weighted_single_arm_medicine_ball_push_up',\n 53: 'spiderman_push_up',\n 54: 'weighted_spiderman_push_up',\n 55: 'stacked_feet_push_up',\n 56: 'weighted_stacked_feet_push_up',\n 57: 'staggered_hands_push_up',\n 58: 'weighted_staggered_hands_push_up',\n 59: 'suspended_push_up',\n 60: 'weighted_suspended_push_up',\n 61: 'swiss_ball_push_up',\n 62: 'weighted_swiss_ball_push_up',\n 63: 'swiss_ball_push_up_plus',\n 64: 'weighted_swiss_ball_push_up_plus',\n 65: 't_push_up',\n 66: 'weighted_t_push_up',\n 67: 'triple_stop_push_up',\n 68: 'weighted_triple_stop_push_up',\n 69: 'wide_hands_push_up',\n 70: 'weighted_wide_hands_push_up',\n 71: 'parallette_handstand_push_up',\n 72: 'weighted_parallette_handstand_push_up',\n 73: 'ring_handstand_push_up',\n 74: 'weighted_ring_handstand_push_up',\n 75: 'ring_push_up',\n 76: 'weighted_ring_push_up',\n 77: 'push_up',\n 78: 'pilates_pushup',\n },\n row_exercise_name: {\n 0: 'barbell_straight_leg_deadlift_to_row',\n 1: 'cable_row_standing',\n 2: 'dumbbell_row',\n 3: 'elevated_feet_inverted_row',\n 4: 'weighted_elevated_feet_inverted_row',\n 5: 'face_pull',\n 6: 'face_pull_with_external_rotation',\n 7: 'inverted_row_with_feet_on_swiss_ball',\n 8: 'weighted_inverted_row_with_feet_on_swiss_ball',\n 9: 'kettlebell_row',\n 10: 'modified_inverted_row',\n 11: 'weighted_modified_inverted_row',\n 12: 'neutral_grip_alternating_dumbbell_row',\n 13: 'one_arm_bent_over_row',\n 14: 'one_legged_dumbbell_row',\n 15: 'renegade_row',\n 16: 'reverse_grip_barbell_row',\n 17: 'rope_handle_cable_row',\n 18: 'seated_cable_row',\n 19: 'seated_dumbbell_row',\n 20: 'single_arm_cable_row',\n 21: 'single_arm_cable_row_and_rotation',\n 22: 'single_arm_inverted_row',\n 23: 'weighted_single_arm_inverted_row',\n 24: 'single_arm_neutral_grip_dumbbell_row',\n 25: 'single_arm_neutral_grip_dumbbell_row_and_rotation',\n 26: 'suspended_inverted_row',\n 27: 'weighted_suspended_inverted_row',\n 28: 't_bar_row',\n 29: 'towel_grip_inverted_row',\n 30: 'weighted_towel_grip_inverted_row',\n 31: 'underhand_grip_cable_row',\n 32: 'v_grip_cable_row',\n 33: 'wide_grip_seated_cable_row',\n },\n shoulder_press_exercise_name: {\n 0: 'alternating_dumbbell_shoulder_press',\n 1: 'arnold_press',\n 2: 'barbell_front_squat_to_push_press',\n 3: 'barbell_push_press',\n 4: 'barbell_shoulder_press',\n 5: 'dead_curl_press',\n 6: 'dumbbell_alternating_shoulder_press_and_twist',\n 7: 'dumbbell_hammer_curl_to_lunge_to_press',\n 8: 'dumbbell_push_press',\n 9: 'floor_inverted_shoulder_press',\n 10: 'weighted_floor_inverted_shoulder_press',\n 11: 'inverted_shoulder_press',\n 12: 'weighted_inverted_shoulder_press',\n 13: 'one_arm_push_press',\n 14: 'overhead_barbell_press',\n 15: 'overhead_dumbbell_press',\n 16: 'seated_barbell_shoulder_press',\n 17: 'seated_dumbbell_shoulder_press',\n 18: 'single_arm_dumbbell_shoulder_press',\n 19: 'single_arm_step_up_and_press',\n 20: 'smith_machine_overhead_press',\n 21: 'split_stance_hammer_curl_to_press',\n 22: 'swiss_ball_dumbbell_shoulder_press',\n 23: 'weight_plate_front_raise',\n },\n shoulder_stability_exercise_name: {\n 0: '90_degree_cable_external_rotation',\n 1: 'band_external_rotation',\n 2: 'band_internal_rotation',\n 3: 'bent_arm_lateral_raise_and_external_rotation',\n 4: 'cable_external_rotation',\n 5: 'dumbbell_face_pull_with_external_rotation',\n 6: 'floor_i_raise',\n 7: 'weighted_floor_i_raise',\n 8: 'floor_t_raise',\n 9: 'weighted_floor_t_raise',\n 10: 'floor_y_raise',\n 11: 'weighted_floor_y_raise',\n 12: 'incline_i_raise',\n 13: 'weighted_incline_i_raise',\n 14: 'incline_l_raise',\n 15: 'weighted_incline_l_raise',\n 16: 'incline_t_raise',\n 17: 'weighted_incline_t_raise',\n 18: 'incline_w_raise',\n 19: 'weighted_incline_w_raise',\n 20: 'incline_y_raise',\n 21: 'weighted_incline_y_raise',\n 22: 'lying_external_rotation',\n 23: 'seated_dumbbell_external_rotation',\n 24: 'standing_l_raise',\n 25: 'swiss_ball_i_raise',\n 26: 'weighted_swiss_ball_i_raise',\n 27: 'swiss_ball_t_raise',\n 28: 'weighted_swiss_ball_t_raise',\n 29: 'swiss_ball_w_raise',\n 30: 'weighted_swiss_ball_w_raise',\n 31: 'swiss_ball_y_raise',\n 32: 'weighted_swiss_ball_y_raise',\n },\n shrug_exercise_name: {\n 0: 'barbell_jump_shrug',\n 1: 'barbell_shrug',\n 2: 'barbell_upright_row',\n 3: 'behind_the_back_smith_machine_shrug',\n 4: 'dumbbell_jump_shrug',\n 5: 'dumbbell_shrug',\n 6: 'dumbbell_upright_row',\n 7: 'incline_dumbbell_shrug',\n 8: 'overhead_barbell_shrug',\n 9: 'overhead_dumbbell_shrug',\n 10: 'scaption_and_shrug',\n 11: 'scapular_retraction',\n 12: 'serratus_chair_shrug',\n 13: 'weighted_serratus_chair_shrug',\n 14: 'serratus_shrug',\n 15: 'weighted_serratus_shrug',\n 16: 'wide_grip_jump_shrug',\n },\n sit_up_exercise_name: {\n 0: 'alternating_sit_up',\n 1: 'weighted_alternating_sit_up',\n 2: 'bent_knee_v_up',\n 3: 'weighted_bent_knee_v_up',\n 4: 'butterfly_sit_up',\n 5: 'weighted_butterfly_situp',\n 6: 'cross_punch_roll_up',\n 7: 'weighted_cross_punch_roll_up',\n 8: 'crossed_arms_sit_up',\n 9: 'weighted_crossed_arms_sit_up',\n 10: 'get_up_sit_up',\n 11: 'weighted_get_up_sit_up',\n 12: 'hovering_sit_up',\n 13: 'weighted_hovering_sit_up',\n 14: 'kettlebell_sit_up',\n 15: 'medicine_ball_alternating_v_up',\n 16: 'medicine_ball_sit_up',\n 17: 'medicine_ball_v_up',\n 18: 'modified_sit_up',\n 19: 'negative_sit_up',\n 20: 'one_arm_full_sit_up',\n 21: 'reclining_circle',\n 22: 'weighted_reclining_circle',\n 23: 'reverse_curl_up',\n 24: 'weighted_reverse_curl_up',\n 25: 'single_leg_swiss_ball_jackknife',\n 26: 'weighted_single_leg_swiss_ball_jackknife',\n 27: 'the_teaser',\n 28: 'the_teaser_weighted',\n 29: 'three_part_roll_down',\n 30: 'weighted_three_part_roll_down',\n 31: 'v_up',\n 32: 'weighted_v_up',\n 33: 'weighted_russian_twist_on_swiss_ball',\n 34: 'weighted_sit_up',\n 35: 'x_abs',\n 36: 'weighted_x_abs',\n 37: 'sit_up',\n },\n squat_exercise_name: {\n 0: 'leg_press',\n 1: 'back_squat_with_body_bar',\n 2: 'back_squats',\n 3: 'weighted_back_squats',\n 4: 'balancing_squat',\n 5: 'weighted_balancing_squat',\n 6: 'barbell_back_squat',\n 7: 'barbell_box_squat',\n 8: 'barbell_front_squat',\n 9: 'barbell_hack_squat',\n 10: 'barbell_hang_squat_snatch',\n 11: 'barbell_lateral_step_up',\n 12: 'barbell_quarter_squat',\n 13: 'barbell_siff_squat',\n 14: 'barbell_squat_snatch',\n 15: 'barbell_squat_with_heels_raised',\n 16: 'barbell_stepover',\n 17: 'barbell_step_up',\n 18: 'bench_squat_with_rotational_chop',\n 19: 'weighted_bench_squat_with_rotational_chop',\n 20: 'body_weight_wall_squat',\n 21: 'weighted_wall_squat',\n 22: 'box_step_squat',\n 23: 'weighted_box_step_squat',\n 24: 'braced_squat',\n 25: 'crossed_arm_barbell_front_squat',\n 26: 'crossover_dumbbell_step_up',\n 27: 'dumbbell_front_squat',\n 28: 'dumbbell_split_squat',\n 29: 'dumbbell_squat',\n 30: 'dumbbell_squat_clean',\n 31: 'dumbbell_stepover',\n 32: 'dumbbell_step_up',\n 33: 'elevated_single_leg_squat',\n 34: 'weighted_elevated_single_leg_squat',\n 35: 'figure_four_squats',\n 36: 'weighted_figure_four_squats',\n 37: 'goblet_squat',\n 38: 'kettlebell_squat',\n 39: 'kettlebell_swing_overhead',\n 40: 'kettlebell_swing_with_flip_to_squat',\n 41: 'lateral_dumbbell_step_up',\n 42: 'one_legged_squat',\n 43: 'overhead_dumbbell_squat',\n 44: 'overhead_squat',\n 45: 'partial_single_leg_squat',\n 46: 'weighted_partial_single_leg_squat',\n 47: 'pistol_squat',\n 48: 'weighted_pistol_squat',\n 49: 'plie_slides',\n 50: 'weighted_plie_slides',\n 51: 'plie_squat',\n 52: 'weighted_plie_squat',\n 53: 'prisoner_squat',\n 54: 'weighted_prisoner_squat',\n 55: 'single_leg_bench_get_up',\n 56: 'weighted_single_leg_bench_get_up',\n 57: 'single_leg_bench_squat',\n 58: 'weighted_single_leg_bench_squat',\n 59: 'single_leg_squat_on_swiss_ball',\n 60: 'weighted_single_leg_squat_on_swiss_ball',\n 61: 'squat',\n 62: 'weighted_squat',\n 63: 'squats_with_band',\n 64: 'staggered_squat',\n 65: 'weighted_staggered_squat',\n 66: 'step_up',\n 67: 'weighted_step_up',\n 68: 'suitcase_squats',\n 69: 'sumo_squat',\n 70: 'sumo_squat_slide_in',\n 71: 'weighted_sumo_squat_slide_in',\n 72: 'sumo_squat_to_high_pull',\n 73: 'sumo_squat_to_stand',\n 74: 'weighted_sumo_squat_to_stand',\n 75: 'sumo_squat_with_rotation',\n 76: 'weighted_sumo_squat_with_rotation',\n 77: 'swiss_ball_body_weight_wall_squat',\n 78: 'weighted_swiss_ball_wall_squat',\n 79: 'thrusters',\n 80: 'uneven_squat',\n 81: 'weighted_uneven_squat',\n 82: 'waist_slimming_squat',\n 83: 'wall_ball',\n 84: 'wide_stance_barbell_squat',\n 85: 'wide_stance_goblet_squat',\n 86: 'zercher_squat',\n 87: 'kbs_overhead',\n 88: 'squat_and_side_kick',\n 89: 'squat_jumps_in_n_out',\n 90: 'pilates_plie_squats_parallel_turned_out_flat_and_heels',\n 91: 'releve_straight_leg_and_knee_bent_with_one_leg_variation',\n },\n total_body_exercise_name: {\n 0: 'burpee',\n 1: 'weighted_burpee',\n 2: 'burpee_box_jump',\n 3: 'weighted_burpee_box_jump',\n 4: 'high_pull_burpee',\n 5: 'man_makers',\n 6: 'one_arm_burpee',\n 7: 'squat_thrusts',\n 8: 'weighted_squat_thrusts',\n 9: 'squat_plank_push_up',\n 10: 'weighted_squat_plank_push_up',\n 11: 'standing_t_rotation_balance',\n 12: 'weighted_standing_t_rotation_balance',\n },\n triceps_extension_exercise_name: {\n 0: 'bench_dip',\n 1: 'weighted_bench_dip',\n 2: 'body_weight_dip',\n 3: 'cable_kickback',\n 4: 'cable_lying_triceps_extension',\n 5: 'cable_overhead_triceps_extension',\n 6: 'dumbbell_kickback',\n 7: 'dumbbell_lying_triceps_extension',\n 8: 'ez_bar_overhead_triceps_extension',\n 9: 'incline_dip',\n 10: 'weighted_incline_dip',\n 11: 'incline_ez_bar_lying_triceps_extension',\n 12: 'lying_dumbbell_pullover_to_extension',\n 13: 'lying_ez_bar_triceps_extension',\n 14: 'lying_triceps_extension_to_close_grip_bench_press',\n 15: 'overhead_dumbbell_triceps_extension',\n 16: 'reclining_triceps_press',\n 17: 'reverse_grip_pressdown',\n 18: 'reverse_grip_triceps_pressdown',\n 19: 'rope_pressdown',\n 20: 'seated_barbell_overhead_triceps_extension',\n 21: 'seated_dumbbell_overhead_triceps_extension',\n 22: 'seated_ez_bar_overhead_triceps_extension',\n 23: 'seated_single_arm_overhead_dumbbell_extension',\n 24: 'single_arm_dumbbell_overhead_triceps_extension',\n 25: 'single_dumbbell_seated_overhead_triceps_extension',\n 26: 'single_leg_bench_dip_and_kick',\n 27: 'weighted_single_leg_bench_dip_and_kick',\n 28: 'single_leg_dip',\n 29: 'weighted_single_leg_dip',\n 30: 'static_lying_triceps_extension',\n 31: 'suspended_dip',\n 32: 'weighted_suspended_dip',\n 33: 'swiss_ball_dumbbell_lying_triceps_extension',\n 34: 'swiss_ball_ez_bar_lying_triceps_extension',\n 35: 'swiss_ball_ez_bar_overhead_triceps_extension',\n 36: 'tabletop_dip',\n 37: 'weighted_tabletop_dip',\n 38: 'triceps_extension_on_floor',\n 39: 'triceps_pressdown',\n 40: 'weighted_dip',\n },\n warm_up_exercise_name: {\n 0: 'quadruped_rocking',\n 1: 'neck_tilts',\n 2: 'ankle_circles',\n 3: 'ankle_dorsiflexion_with_band',\n 4: 'ankle_internal_rotation',\n 5: 'arm_circles',\n 6: 'bent_over_reach_to_sky',\n 7: 'cat_camel',\n 8: 'elbow_to_foot_lunge',\n 9: 'forward_and_backward_leg_swings',\n 10: 'groiners',\n 11: 'inverted_hamstring_stretch',\n 12: 'lateral_duck_under',\n 13: 'neck_rotations',\n 14: 'opposite_arm_and_leg_balance',\n 15: 'reach_roll_and_lift',\n 16: 'scorpion',\n 17: 'shoulder_circles',\n 18: 'side_to_side_leg_swings',\n 19: 'sleeper_stretch',\n 20: 'slide_out',\n 21: 'swiss_ball_hip_crossover',\n 22: 'swiss_ball_reach_roll_and_lift',\n 23: 'swiss_ball_windshield_wipers',\n 24: 'thoracic_rotation',\n 25: 'walking_high_kicks',\n 26: 'walking_high_knees',\n 27: 'walking_knee_hugs',\n 28: 'walking_leg_cradles',\n 29: 'walkout',\n 30: 'walkout_from_push_up_position',\n },\n run_exercise_name: {\n 0: 'run',\n 1: 'walk',\n 2: 'jog',\n 3: 'sprint',\n },\n water_type: {\n 0: 'fresh',\n 1: 'salt',\n 2: 'en13319',\n 3: 'custom',\n },\n tissue_model_type: {\n 0: 'zhl_16c',\n },\n dive_gas_status: {\n 0: 'disabled',\n 1: 'enabled',\n 2: 'backup_only',\n },\n dive_alarm_type: {\n 0: 'depth',\n 1: 'time',\n },\n dive_backlight_mode: {\n 0: 'at_depth',\n 1: 'always_on',\n },\n favero_product: {\n 10: 'assioma_uno',\n 12: 'assioma_duo',\n },\n },\n};\n", "import { FIT } from './fit.js';\nfunction getFieldObject(fieldNum, messageNum) {\n const message = FIT.messages[messageNum];\n if (!message) {\n return {};\n }\n return message[fieldNum] || {};\n}\nfunction getMessageName(messageNum) {\n const message = FIT.messages[messageNum];\n return message ? message.name : '';\n}\nexport function getFitMessage(messageNum) {\n return {\n name: getMessageName(messageNum),\n getAttributes: (fieldNum) => getFieldObject(fieldNum, messageNum),\n };\n}\n// TODO\nexport function getFitMessageBaseType(inp) {\n return inp;\n}\n", "export function mapDataIntoLap(inputLaps, lapKey, data) {\n const laps = [...inputLaps];\n let index = 0;\n for (let i = 0; i < laps.length; i++) {\n const nextLap = laps[i + 1];\n const tempData = [];\n const nextLapStartTime = nextLap\n ? new Date(nextLap.start_time).getTime()\n : null;\n for (let j = index; j < data.length; j++) {\n const row = data[j];\n if (nextLap && nextLapStartTime) {\n const timestamp = new Date(row.timestamp || row.start_time).getTime();\n if (nextLapStartTime > timestamp) {\n tempData.push(row);\n }\n else if (nextLapStartTime <= timestamp) {\n index = j;\n break;\n }\n }\n else {\n tempData.push(row);\n }\n }\n if (!laps[i][lapKey]) {\n laps[i][lapKey] = tempData;\n }\n }\n return laps;\n}\nexport function mapDataIntoSession(inputSessions, laps) {\n const sessions = [...inputSessions];\n let lapIndex = 0;\n for (let i = 0; i < sessions.length; i++) {\n const nextSession = sessions[i + 1];\n const tempLaps = [];\n const nextSessionStartTime = nextSession\n ? new Date(nextSession.start_time).getTime()\n : null;\n for (let j = lapIndex; j < laps.length; j++) {\n const lap = laps[j];\n if (nextSession && nextSessionStartTime) {\n const lapStartTime = new Date(lap.start_time).getTime();\n if (nextSessionStartTime > lapStartTime) {\n tempLaps.push(lap);\n }\n else if (nextSessionStartTime <= lapStartTime) {\n lapIndex = j;\n break;\n }\n }\n else {\n tempLaps.push(lap);\n }\n }\n if (!sessions[i].laps) {\n sessions[i].laps = tempLaps;\n }\n }\n return sessions;\n}\n", "import { calculateCRC, getArrayBuffer, readRecord } from './binary.js';\nimport { mapDataIntoLap, mapDataIntoSession } from './helper.js';\nexport default class FitParser {\n constructor(options = {}) {\n this.options = {\n force: options.force != null ? options.force : true,\n speedUnit: options.speedUnit || 'm/s',\n lengthUnit: options.lengthUnit || 'm',\n temperatureUnit: options.temperatureUnit || 'celsius',\n elapsedRecordField: options.elapsedRecordField || false,\n pressureUnit: options.pressureUnit || 'bar',\n mode: options.mode || 'list',\n };\n }\n parseAsync(content) {\n return new Promise((resolve, reject) => {\n this.parse(content, (error, data) => {\n if (error) {\n reject(error);\n }\n else if (data) {\n resolve(data);\n }\n });\n });\n }\n parse(content, callback) {\n var _a;\n const blob = new Uint8Array(getArrayBuffer(content));\n if (blob.length < 12) {\n callback('File to small to be a FIT file', undefined);\n if (!this.options.force) {\n return;\n }\n }\n const headerLength = blob[0];\n if (headerLength !== 14 && headerLength !== 12) {\n callback('Incorrect header size', undefined);\n if (!this.options.force) {\n return;\n }\n }\n let fileTypeString = '';\n for (let i = 8; i < 12; i++) {\n fileTypeString += String.fromCharCode(blob[i]);\n }\n if (fileTypeString !== '.FIT') {\n callback('Missing \\'.FIT\\' in header', undefined);\n if (!this.options.force) {\n return;\n }\n }\n if (headerLength === 14) {\n const crcHeader = blob[12] + (blob[13] << 8);\n const crcHeaderCalc = calculateCRC(blob, 0, 12);\n if (crcHeader !== crcHeaderCalc) {\n // callback('Header CRC mismatch', {});\n // TODO: fix Header CRC check\n if (!this.options.force) {\n return;\n }\n }\n }\n const protocolVersion = blob[1];\n const profileVersion = blob[2] + (blob[3] << 8);\n const dataLength = blob[4] + (blob[5] << 8) + (blob[6] << 16) + (blob[7] << 24);\n const crcStart = dataLength + headerLength;\n const crcFile = blob[crcStart] + (blob[crcStart + 1] << 8);\n const crcFileCalc = calculateCRC(blob, headerLength === 12 ? 0 : headerLength, crcStart);\n if (crcFile !== crcFileCalc) {\n // callback('File CRC mismatch', {});\n // TODO: fix File CRC check\n if (!this.options.force) {\n return;\n }\n }\n const fitObj = {\n profileVersion,\n protocolVersion,\n };\n let sessions = [];\n let laps = [];\n const records = [];\n const events = [];\n const hr_zone = [];\n const power_zone = [];\n const hrv = [];\n const device_infos = [];\n const applications = [];\n const fieldDescriptions = [];\n const dive_gases = [];\n const course_points = [];\n const sports = [];\n const monitors = [];\n const stress = [];\n const definitions = [];\n const file_ids = [];\n const monitor_info = [];\n const lengths = [];\n const tank_updates = [];\n const tank_summaries = [];\n const jumps = [];\n const time_in_zone = [];\n const activity_metrics = [];\n let loopIndex = headerLength;\n const messageTypes = [];\n const developerFields = [];\n const isModeCascade = this.options.mode === 'cascade';\n const isCascadeNeeded = isModeCascade || this.options.mode === 'both';\n let startDate;\n let lastStopTimestamp;\n let pausedTime = 0;\n while (loopIndex < crcStart) {\n const { nextIndex, messageType, message } = readRecord(blob, messageTypes, developerFields, loopIndex, this.options, startDate, pausedTime);\n loopIndex = nextIndex;\n switch (messageType) {\n case 'lap':\n laps.push(message);\n break;\n case 'session':\n sessions.push(message);\n break;\n case 'event':\n if (message.event === 'timer') {\n if (message.event_type === 'stop_all') {\n lastStopTimestamp = message.timestamp;\n }\n else if (message.event_type === 'start' && lastStopTimestamp) {\n pausedTime += (message.timestamp - lastStopTimestamp) / 1000;\n }\n }\n events.push(message);\n break;\n case 'length':\n lengths.push(message);\n break;\n case 'hrv':\n hrv.push(message);\n break;\n case 'hr_zone':\n hr_zone.push(message);\n break;\n case 'power_zone':\n power_zone.push(message);\n break;\n case 'record':\n if (!startDate) {\n startDate = message.timestamp;\n message.elapsed_time = 0;\n message.timer_time = 0;\n }\n records.push(message);\n break;\n case 'field_description':\n fieldDescriptions.push(message);\n break;\n case 'device_info':\n device_infos.push(message);\n break;\n case 'developer_data_id':\n applications.push(message);\n break;\n case 'dive_gas':\n dive_gases.push(message);\n break;\n case 'course_point':\n course_points.push(message);\n break;\n case 'sport':\n sports.push(message);\n break;\n case 'file_id':\n if (message) {\n file_ids.push(message);\n }\n break;\n case 'definition':\n if (message) {\n definitions.push(message);\n }\n break;\n case 'monitoring':\n monitors.push(message);\n break;\n case 'monitoring_info':\n monitor_info.push(message);\n break;\n case 'stress_level':\n stress.push(message);\n break;\n case 'software':\n fitObj.software = message;\n break;\n case 'tank_update':\n tank_updates.push(message);\n break;\n case 'tank_summary':\n tank_summaries.push(message);\n break;\n case 'jump':\n jumps.push(message);\n break;\n case 'time_in_zone':\n time_in_zone.push(message);\n break;\n case 'activity_metrics':\n activity_metrics.push(message);\n break;\n default:\n if (messageType !== '') {\n fitObj[messageType] = message;\n }\n break;\n }\n }\n fitObj.hr_zone = hr_zone;\n fitObj.power_zone = power_zone;\n fitObj.dive_gases = dive_gases;\n fitObj.course_points = course_points;\n fitObj.sports = sports;\n fitObj.monitors = monitors;\n fitObj.stress = stress;\n fitObj.file_ids = file_ids;\n fitObj.monitor_info = monitor_info;\n fitObj.definitions = definitions;\n fitObj.tank_updates = tank_updates;\n fitObj.tank_summaries = tank_summaries;\n fitObj.jumps = jumps;\n fitObj.time_in_zone = time_in_zone;\n fitObj.activity_metrics = activity_metrics;\n if (isCascadeNeeded) {\n laps = mapDataIntoLap(laps, 'records', records);\n laps = mapDataIntoLap(laps, 'lengths', lengths);\n sessions = mapDataIntoSession(sessions, laps);\n fitObj.activity = Object.assign(Object.assign({}, ((_a = fitObj.activity) !== null && _a !== void 0 ? _a : {})), { // ugly but we assume the activity was parsed correctly with all other members correctly\n sessions,\n events,\n hrv,\n device_infos, developer_data_ids: applications, field_descriptions: fieldDescriptions, sports });\n }\n if (!isModeCascade) {\n fitObj.sessions = sessions;\n fitObj.laps = laps;\n fitObj.lengths = lengths;\n fitObj.records = records;\n fitObj.events = events;\n fitObj.device_infos = device_infos;\n fitObj.developer_data_ids = applications;\n fitObj.field_descriptions = fieldDescriptions;\n fitObj.hrv = hrv;\n }\n callback(undefined, fitObj);\n }\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport FitParser from 'fit-file-parser';\nexport default FitParser;\n"], + "mappings": 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index 0000000000..883ffbaddf --- /dev/null +++ b/suites-experimental/tools-gps-tracks/dist/index.html @@ -0,0 +1,551 @@ + + + + + + Weg — GPS Analysis + + + + + + + + +
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.arrow{font-size:var(--fs-l);margin-left:auto;opacity:.5}#filter-panel{padding:12px;background:var(--surface2);border-bottom:1px solid var(--border);display:flex;flex-direction:column;gap:12px}#filter-panel.hidden{display:none}.filter-group{display:flex;flex-direction:column;gap:4px}.filter-group label{font-size:var(--fs-s);font-weight:600;text-transform:uppercase;color:var(--text-dim);display:flex;align-items:center;gap:6px}.filter-group label .material-symbols-rounded{font-size:var(--is-s);opacity:.7}.filter-metrics-grid{display:flex;flex-wrap:wrap;gap:6px;margin-top:4px}.mini-pill{width:28px;height:28px;display:flex;align-items:center;justify-content:center;background:var(--surface);border:1px solid var(--border);border-radius:6px;color:var(--text-dim);cursor:pointer}.mini-pill:hover{border-color:var(--text-muted);color:var(--text-muted)}.mini-pill.active{background:var(--accent);border-color:var(--accent);color:#fff}.mini-pill .material-symbols-rounded{font-size:var(--is-s)}.filter-row{display:flex;align-items:center;gap:6px}.filter-row input{flex:1;background:var(--bg);border:1px solid var(--border);border-radius:4px;padding:4px 6px;color:var(--text);font-size:var(--fs-s)}.filter-row span{font-size:var(--fs-s);color:var(--text-dim)}#filter-panel input:focus{border-color:var(--accent);outline:none}.filter-footer{display:flex;justify-content:flex-end;margin-top:4px}#track-list{flex:1;overflow-y:auto;padding:4px 0;scrollbar-width:none}#track-list::-webkit-scrollbar{width:0;height:0;display:none}#track-list::-webkit-scrollbar-thumb{background:var(--border2);border-radius:2px}#track-list-empty{padding:40px 20px;text-align:center;color:var(--text-dim);font-size:var(--fs-m)}.track-item{display:flex;align-items:center;padding:6px 8px;gap:0;cursor:pointer;border-left:3px solid transparent}.track-item:hover{background:#ffffff08}.track-item.selected{background:color-mix(in srgb,var(--theme-color) 8%,transparent);border-left-color:var(--accent)}.track-color{width:3px;border-radius:1px;flex-shrink:0;margin-right:8px;align-self:stretch}.track-info{flex:1;min-width:0;margin-right:2px}.track-name{font-size:var(--fs-m);font-weight:600;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;margin-bottom:1px}.track-meta{font-size:var(--fs-s);color:var(--text-dim);display:flex;gap:6px;align-items:center}.track-item .icon-btn.mini{width:22px;height:22px;padding:0;margin:0}.badge{font-size:var(--fs-s);background:var(--surface2);padding:1px 4px;border-radius:3px;font-weight:700;color:var(--text-muted)}.track-tags{display:flex;flex-wrap:wrap;gap:4px;margin-top:6px;overflow:hidden;max-height:32px}.track-tag{font-size:var(--fs-s);font-weight:700;color:var(--text-dim);background:#ffffff08;border:1px solid var(--border);padding:1px 5px;border-radius:3px;white-space:nowrap}.track-item.selected .track-tag{border-color:#ffffff1a;color:var(--text-muted)}#sidebar-resizer{width:4px;cursor:col-resize;background:transparent;flex-shrink:0;z-index:1000;margin-left:-2px;margin-right:-2px;user-select:none}#sidebar-resizer:hover,#sidebar-resizer.dragging{background:var(--handle-color)}body.dragging-sidebar{user-select:none;cursor:col-resize!important}#main{flex:1;display:flex;flex-direction:column;min-width:0}#map-container{flex:1;position:relative;min-height:100px}#map-container.editing-mode{border:4px solid var(--accent);box-shadow:0 0 15px var(--accent);z-index:1000}#map{width:100%;height:100%;background:var(--bg)}#map-controls{position:absolute;top:12px;left:12px;z-index:1000;display:flex;align-items:center;gap:8px}#basemap-switcher{display:flex;background:var(--surface);border:1px solid var(--border);border-radius:8px;padding:2px;height:24px;box-sizing:border-box;box-shadow:0 4px 12px #0000004d;align-items:center;gap:0}#selected-extra-map{font-size:var(--fs-s);font-weight:700;color:var(--accent);padding:0 6px;max-width:120px;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;cursor:pointer}#selected-extra-map.hidden{display:none}#btn-extra-layers{border:none!important;border-left:1px solid var(--border)!important;border-radius:0!important;margin-left:0!important;padding-left:6px!important;padding-right:0!important;width:auto!important;height:100%!important;background:transparent!important}#extra-layers-menu{position:absolute;top:40px;right:0;background:var(--surface);border:1px solid var(--border);border-radius:8px;box-shadow:0 4px 20px #00000080;max-height:300px;overflow-y:auto;width:200px;z-index:1000;padding:4px}#extra-layers-menu.hidden{display:none}.extra-layers-header{font-size:var(--fs-s);font-weight:700;color:var(--text-dim);text-transform:uppercase;padding:6px 8px;border-bottom:1px solid var(--border);margin-bottom:4px}.extra-layers-search{padding:4px 8px;border-bottom:1px solid var(--border);margin-bottom:4px}#extra-layers-search-input{width:100%;background:var(--surface2);border:1px solid var(--border);border-radius:4px;color:var(--text);font-size:var(--fs-s);padding:4px 8px;outline:none}#extra-layers-search-input:focus{border-color:var(--accent)}.extra-layers-license{font-size:var(--fs-s);color:var(--text-dim);padding:4px 8px;border-bottom:1px solid var(--border);margin-bottom:4px}.extra-layers-license a{color:var(--accent);text-decoration:none}.extra-layers-license a:hover{text-decoration:underline}.extra-layer-row{margin-bottom:2px}.extra-layer-item{display:block;width:100%;text-align:left;background:transparent;border:none;color:var(--text-muted);padding:4px 10px 2px;font-size:var(--fs-s);font-weight:600;border-radius:4px;cursor:pointer;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}.extra-layer-item:hover{background:var(--surface2);color:var(--text)}.extra-layer-attribution{font-size:var(--fs-s);color:var(--text-dim);padding:0 10px 4px;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}#map-loader{background:var(--surface);border:1px solid var(--border);border-radius:8px;padding:0 10px;height:24px;box-sizing:border-box;display:flex;align-items:center;gap:8px;font-size:var(--fs-s);font-weight:600;color:var(--text-muted);box-shadow:0 4px 12px #0000004d}.spinner-sm{width:12px;height:12px;border:2px solid var(--surface2);border-top-color:var(--accent);border-radius:50%}.bm-btn{background:transparent;border:none;color:var(--text-muted);padding:2px 6px;font-size:var(--fs-s);font-weight:600;border-radius:6px}.bm-btn:hover{color:var(--text)}.bm-btn.active{background:var(--surface2);color:var(--accent)}.map-cursor-dot{pointer-events:none}.dot-inner{width:12px;height:12px;background:#fff;border:2px solid #000;border-radius:50%;box-shadow:0 0 0 2px #ffffff80}#map-cursor-info{position:absolute;top:12px;right:12px;z-index:1000;background:var(--surface);border:1px solid var(--border);border-radius:8px;padding:8px 12px;font-size:var(--fs-s);color:var(--text);box-shadow:0 4px 12px #0000004d;display:none;pointer-events:none}#resize-handle{height:6px;background:var(--bg);border-top:1px solid var(--border);border-bottom:1px solid var(--border);cursor:ns-resize;display:flex;align-items:center;justify-content:center;flex-shrink:0;z-index:100}#resize-handle:hover{background:var(--handle-color)}.handle-grip{width:32px;height:2px;background:var(--border2);border-radius:1px}#chart-panel{display:flex;flex-direction:column;background:var(--surface);overflow:hidden;flex:1;width:100%;height:100%;min-height:0}#tab-nav{display:flex;padding:0 12px;border-bottom:1px solid var(--border);gap:4px}.tab-btn{background:transparent;border:none;border-bottom:2px solid transparent;color:var(--text-dim);padding:10px 12px;font-size:var(--fs-m);font-weight:700;display:flex;align-items:center;gap:6px}.tab-btn:hover{color:var(--text-muted)}.tab-btn.active{color:var(--accent);border-bottom-color:var(--accent)}.tab-btn .material-symbols-rounded{font-size:var(--is-s)}.tab-content{display:none;flex:1;min-height:0}.tab-content.active{display:flex;flex-direction:column;overflow-y:auto;scrollbar-width:none}.tab-content.active::-webkit-scrollbar{width:0;height:0}.tab-content.active::-webkit-scrollbar-track{background:transparent}.tab-content.active::-webkit-scrollbar-thumb{background:var(--border);border-radius:3px}.tab-content.active::-webkit-scrollbar-thumb:hover{background:var(--text-dim)}#chart-toolbar{display:flex;align-items:center;padding:6px 12px;gap:12px;border-bottom:1px solid var(--border);background:var(--bg);min-height:40px;position:sticky;top:0;z-index:100}.icon-btn{background:transparent;border:1px solid transparent;color:var(--text-muted);width:24px;height:24px;border-radius:6px;display:flex;align-items:center;justify-content:center}.icon-btn.hidden{display:none}.icon-btn:hover{background:var(--surface2);color:var(--text)}.icon-btn.active{background:var(--surface2);color:var(--accent)}.icon-btn.danger:hover{background:#ef44441f;color:var(--danger)}.icon-btn .material-symbols-rounded{font-size:var(--fs-l)}#btn-metric-menu{flex:0 0 auto}#metric-pills{display:flex;gap:6px;flex:1;overflow:hidden}.metric-pill:not(.active){display:none}.metric-pill.overflow-hidden{display:none!important}#pill-overflow{color:var(--text-muted);font-weight:700;padding:0 4px;align-self:flex-end}.metric-pill{height:24px;padding:0 8px;border-radius:12px;border:1px solid var(--border);background:var(--surface2);color:var(--text-muted);font-size:var(--fs-s);font-weight:500;display:flex;align-items:center;gap:4px;white-space:nowrap}.metric-pill .material-symbols-rounded{font-size:var(--fs-m)}.metric-pill.active{background:color-mix(in srgb,var(--pill-color) 15%,var(--surface2));border-color:var(--pill-color);color:var(--pill-color)}.metric-pill.disabled{opacity:.3;filter:grayscale(1);cursor:default}#chart-options{display:flex;align-items:center;gap:0;margin-left:auto}.seg-ctrl{display:flex;background:var(--surface2);border:1px solid var(--border);border-radius:6px;padding:2px;height:24px;box-sizing:border-box}.seg-btn{background:transparent;border:none;color:var(--text-dim);padding:0 8px;font-size:var(--fs-s);font-weight:700;border-radius:4px;display:flex;align-items:center;gap:6px;height:100%}.seg-btn .material-symbols-rounded{font-size:var(--fs-m)}.seg-btn.active{background:var(--bg);color:var(--text);box-shadow:0 1px 3px #0003}#chart-stats{padding:4px 14px;border-bottom:1px solid var(--border);background:var(--surface2)}#chart-stats.hidden{display:none}#chart-stats-wrap{display:flex;flex-direction:column;gap:2px}.stats-row{display:flex;align-items:center;gap:16px}.stats-row-label{width:45px;font-size:var(--fs-s);font-weight:700;text-transform:uppercase;letter-spacing:.8px;color:var(--text-muted);white-space:nowrap}.chart-row-stats-container{display:flex;flex:1;align-items:center;justify-content:space-between}.chart-row-right-actions{width:130px;display:none;align-items:center;justify-content:flex-end;flex-shrink:0}.with-histogram .chart-row-right-actions{display:flex}.chart-stats-total,.chart-stats-selection{display:flex;gap:10px;font-size:var(--fs-s);color:var(--text-dim);align-items:center;white-space:nowrap;font-weight:500}.chart-stats-selection{margin-left:auto;position:relative}.chart-stats-selection:after{content:"";position:absolute;bottom:-6px;left:0;right:0;height:2px;background-color:var(--sel-color);pointer-events:none}.all-chip{background:var(--surface2);color:var(--text-muted);font-weight:500;padding:2px;border-radius:4px;font-size:var(--fs-m);margin-right:4px;cursor:pointer;border:1px solid var(--border);display:flex;align-items:center;justify-content:center}.all-chip:hover{background:var(--border);color:var(--text)}.sel-tag{background:var(--surface2);color:var(--text-muted);font-weight:500;padding:2px;border-radius:4px;font-size:var(--fs-m);margin-right:4px;display:flex;align-items:center;justify-content:center;border:1px solid var(--border)}.mm-item{display:flex;align-items:center;gap:2px;white-space:nowrap}.mm-icon{font-size:var(--fs-m);color:var(--text-dim)}.uplot{color:var(--text-muted)!important}.u-title,.u-legend{display:none}.chart-row .u-select{background:color-mix(in srgb,var(--chart-color, #3b82f6) 12%,transparent)!important;border:1px solid color-mix(in srgb,var(--chart-color, #3b82f6) 35%,transparent)!important}.u-cursor-x{border-left:1px dashed rgba(255,255,255,.55)!important}.u-cursor-y{display:none!important}.sel-fill{position:absolute;top:0;background:color-mix(in srgb,var(--theme-color) 8%,transparent);border-left:1px solid color-mix(in srgb,var(--theme-color) 30%,transparent);border-right:1px solid rgba(148,163,184,.4);pointer-events:none}.sel-handle{position:absolute;top:50%;transform:translate(-50%,-50%);width:8px;height:24px;background:#ffffffd9;border:1px solid rgba(0,0,0,.3);border-radius:4px;cursor:ew-resize;pointer-events:auto;display:flex;align-items:center;justify-content:center;z-index:10}.sel-handle:after{content:"";width:2px;height:10px;border-left:1px solid rgba(0,0,0,.4);border-right:1px solid rgba(0,0,0,.4)}.sel-handle:hover{background:#fff;transform:translate(-50%,-50%) scale(1.1)}.sel-graph-marker{position:absolute;transform:translate(-50%,-50%);pointer-events:none;z-index:11;background:none!important}.sel-line{position:absolute;top:0;height:100%;width:0;border-left-width:1.5px;border-left-style:solid;pointer-events:none}.sel-line-label{position:absolute;top:4px;font-size:var(--fs-s);font-weight:700;background:#0e0e10eb;color:#fff;padding:2px 5px;border-radius:4px;pointer-events:none;white-space:nowrap;z-index:10;border:1px solid var(--border)}#charts-container{flex:1;overflow-y:auto;overflow-x:hidden;padding:6px 0 4px;scrollbar-width:none}#charts-container::-webkit-scrollbar{width:0;height:0}#charts-container::-webkit-scrollbar-thumb{background:var(--border2);border-radius:2px}.fixed-x-label{position:absolute;bottom:4px;font-size:var(--fs-s);font-family:system-ui,sans-serif;color:#555564;z-index:10;pointer-events:none}.fixed-x-max{right:0;text-align:right}.chart-row-body{display:flex;flex-direction:row;padding:0 14px;min-width:0;overflow:hidden}.chart-row-body>div:first-child{flex:1;min-width:0}.hist-col{width:130px;flex-shrink:0;border-left:1px solid var(--border);margin-left:20px;margin-right:0;display:none;align-items:center;justify-content:center;cursor:crosshair}.hist-col.visible{display:flex}.hist-canvas{display:block}#hist-line{position:fixed;height:0;border-top:1px dashed rgba(255,255,255,.25);pointer-events:none;display:none;z-index:10000}#hist-tooltip{position:fixed;background:var(--surface);border:1px solid var(--border2);border-radius:5px;padding:8px 10px;pointer-events:none;display:none;z-index:10001;box-shadow:0 4px 15px #00000080;font-size:var(--fs-s)}.hist-tt-header{font-weight:800;margin-bottom:6px;padding-left:8px;border-left:3px solid var(--accent);color:var(--text)}.hist-tt-grid{display:grid;grid-template-columns:1fr auto auto;gap:10px;align-items:baseline}.hist-tt-label{font-size:var(--fs-s);color:var(--text-muted)}.hist-tt-value{font-size:var(--fs-s);color:var(--text);text-align:right;font-variant-numeric:tabular-nums}.hist-tt-pct{font-size:var(--fs-s);color:var(--text-dim);text-align:right;min-width:36px;font-variant-numeric:tabular-nums}.hist-tt-grid.sel-row{margin-top:2px;opacity:.9}.hist-tt-label.sel{color:var(--accent);font-weight:700}.chart-row{border-bottom:1px solid var(--border)}.chart-row:last-child{border-bottom:none}.chart-row-header{display:flex;align-items:center;gap:12px;padding:8px 14px 4px;min-height:28px}.progress-chart-row{display:flex;flex-direction:column}.progress-chart-row .chart-row-header{height:36px;box-sizing:border-box;padding-top:0;padding-bottom:0}.progress-chart-row .chart-row-actions{margin-left:auto}.progress-chart-row .chart-row-body{flex:1;padding:0}.chart-row-label-group{display:flex;align-items:center;gap:8px;flex-shrink:0;width:140px}.chart-row-actions{display:flex;align-items:center;gap:0}.chart-row-icon{font-size:var(--is-s);color:var(--chart-color)}.chart-row-label{font-size:var(--fs-m);font-weight:700;text-transform:uppercase;letter-spacing:.8px;color:var(--text-muted);white-space:nowrap}.track-picker-popup{padding:8px;background:var(--surface);color:var(--text);border-radius:8px;min-width:160px}.picker-header{font-size:var(--fs-s);text-transform:uppercase;font-weight:700;color:var(--text-dim);margin-bottom:8px;padding-bottom:4px;border-bottom:1px solid var(--border)}.picker-list{display:flex;flex-direction:column;gap:2px}.picker-item{display:flex;align-items:center;gap:8px;padding:6px 8px;border-radius:6px;cursor:pointer}.picker-item:hover{background:var(--surface2)}.picker-color{width:3px;height:14px;border-radius:1px}.picker-info{display:flex;flex-direction:column;min-width:0}.picker-name{font-size:var(--fs-s);font-weight:600;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;max-width:180px}.modal-backdrop{position:fixed;inset:0;background:#000000bf;backdrop-filter:blur(4px);display:flex;align-items:center;justify-content:center;z-index:20000}.modal-content{background:var(--surface);border:1px solid var(--border);border-radius:12px;padding:24px;width:100%;max-width:320px;box-shadow:0 20px 40px #00000080;display:flex;flex-direction:column;gap:16px}.modal-title{font-size:var(--fs-l);font-weight:800;color:var(--text)}.modal-body{font-size:var(--fs-m);color:var(--text-muted);line-height:1.5}.modal-input-wrap{display:flex;flex-direction:column;gap:8px}.modal-input-label{font-size:var(--fs-s);font-weight:700;text-transform:uppercase;color:var(--text-dim)}.modal-input{background:var(--bg);border:1px solid var(--border2);border-radius:6px;padding:10px;color:var(--text);font-size:var(--fs-l);font-weight:800;text-align:center;letter-spacing:4px}.modal-input:focus{outline:none;border-color:var(--accent)}.modal-actions{display:flex;gap:12px;margin-top:8px}.modal-btn{flex:1;padding:10px;border-radius:6px;font-size:var(--fs-m);font-weight:700;border:1px solid transparent}.modal-btn.cancel{background:var(--surface2);color:var(--text);border-color:var(--border)}.modal-btn.cancel:hover{background:var(--border)}.modal-btn.confirm{background:var(--danger);color:#fff}.modal-btn.confirm:disabled{opacity:.3;cursor:not-allowed;filter:grayscale(1)}.modal-btn.confirm:not(:disabled):hover{filter:brightness(1.1)}.picker-meta{font-size:var(--fs-s);color:var(--text-dim);font-weight:700}.leaflet-popup-content-wrapper,.leaflet-popup-tip{background:var(--surface)!important;color:var(--text)!important;border:1px solid var(--border)!important;box-shadow:0 4px 12px #0006!important}.leaflet-popup-content{margin:0!important}.leaflet-popup-tip{border:none!important}.map-color-btn{margin-left:4px}.map-color-btn .material-symbols-rounded{font-size:var(--is-s)}.map-color-btn.active{color:var(--chart-color, var(--accent))}.smooth-btn.active{color:var(--accent)}.cur-y-val{position:absolute;left:0;top:0;pointer-events:none;font-size:var(--fs-s);font-weight:700;background:#0e0e10eb;padding:2px 6px;border-radius:4px;border:1px solid rgba(255,255,255,.1);z-index:2000;white-space:nowrap}.cur-y-val.pin{z-index:1000;opacity:.7}#details-view{width:100%;padding:24px;max-width:900px;margin:0 auto}#details-header{margin-bottom:32px}.details-title{font-size:var(--fs-l);font-weight:800;margin-bottom:4px}.details-subtitle{font-size:var(--fs-m);color:var(--text-muted)}.details-grid{display:grid;grid-template-columns:repeat(auto-fill,minmax(200px,1fr));gap:16px}.details-card{background:var(--surface2);border:1px solid var(--border);padding:16px;border-radius:12px;display:flex;flex-direction:column;gap:4px}.details-card 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.material-symbols-rounded{font-size:var(--fs-l)}.power-curve-val{font-weight:700;color:var(--text);text-align:right}.evolution-select-btn{background:none;border:none;cursor:pointer;color:var(--chart-color);padding:0;font-size:var(--fs-l);vertical-align:middle;margin-left:4px}.hr-settings-popup{display:flex;flex-direction:column}.hr-input-row{display:flex;justify-content:space-between;align-items:center;font-size:var(--fs-m);color:var(--text-muted);font-weight:600}.hr-zone-input{background:var(--surface);border:1px solid var(--border);border-radius:4px;color:var(--text);width:60px;padding:4px 8px;font-size:var(--fs-m);text-align:right;outline:none}.hr-zone-input:focus{border-color:var(--accent)}.save-btn{background:var(--accent);color:#fff;border:none;border-radius:6px;padding:8px;font-size:12px;font-weight:700;cursor:pointer}.save-btn:hover{background:var(--accent-hover)}.menu-item.active .arrow,.menu-item.active 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th{color:var(--text-dim);font-weight:500;text-transform:uppercase;font-size:var(--fs-m);letter-spacing:.5px}.accumulated-table td:last-child{text-align:right;font-weight:500;font-family:monospace}.accumulated-table tr:last-child td{border-bottom:none}.chart-scroll-container::-webkit-scrollbar{height:4px}.chart-scroll-container::-webkit-scrollbar-thumb{background:var(--border2);border-radius:2px}.u-title,.u-legend{font-size:var(--fs-m)!important}.courses-container{padding:16px;display:flex;flex-direction:column;gap:16px}.courses-list{display:flex;flex-direction:column;gap:8px}.course-item{background:var(--surface2);border:1px solid var(--border);border-radius:8px;display:flex;flex-direction:column;cursor:pointer;overflow:hidden}.course-item:hover{background:var(--surface3);border-color:var(--border-high)}.course-item-header{padding:6px 12px;display:flex;align-items:center;gap:12px;width:100%}.course-name{font-weight:600;flex:1}.course-meta{color:var(--text-muted);font-size:var(--fs-s)}.course-actions{display:flex;gap:4px}.course-actions .icon-btn{opacity:.5}.course-item:hover .course-actions .icon-btn{opacity:1}.expand-icon{color:var(--text-muted)}.course-tracks{padding:8px 12px;border-top:1px solid var(--border);background:var(--surface1)}.course-tracks-title{font-size:var(--fs-xs);font-weight:700;color:var(--text-muted);text-transform:uppercase;letter-spacing:.5px;margin-bottom:6px}.course-tracks-table{width:100%;border-collapse:collapse;font-size:var(--fs-s);color:var(--text)}.course-tracks-table th,.course-tracks-table td{padding:6px 8px;text-align:right;border-bottom:1px solid var(--border-low)}.course-tracks-table th:first-child,.course-tracks-table td:first-child,.course-tracks-table th:nth-child(2),.course-tracks-table td:nth-child(2){text-align:left}.course-tracks-table td:not(:first-child){white-space:nowrap}.course-tracks-table th{font-weight:600;color:var(--text-muted);font-size:var(--fs-xs);text-transform:uppercase;letter-spacing:.5px;white-space:nowrap}.course-tracks-table tr:last-child td{border-bottom:none}.course-tracks-table th:first-child,.course-tracks-table td:first-child{width:100%}.course-track-row:hover{background:var(--surface2)}.course-track-row.selected{background:color-mix(in srgb,var(--theme-color) 8%,transparent)}.track-name-cell.clickable{color:var(--accent);cursor:pointer;font-weight:500}.track-name-cell.clickable:hover{text-decoration:underline}.metric-icon{font-size:16px;vertical-align:middle;margin-right:4px}.metric-icon.duration{color:var(--text-muted)}.metric-icon.speed{color:#4caf50}.metric-icon.power{color:#ff9800}.metric-icon.hr{color:#f44336}.course-point-marker{display:flex;align-items:center;justify-content:center} +/*# sourceMappingURL=styles.css.map */ diff --git a/suites-experimental/tools-gps-tracks/dist/styles.css.map b/suites-experimental/tools-gps-tracks/dist/styles.css.map new file mode 100644 index 0000000000..ce44ae3490 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/dist/styles.css.map @@ -0,0 +1,7 @@ +{ + "version": 3, + "sources": ["../src/css/uPlot.min.css", "../src/css/styles.css"], + "sourcesContent": [".uplot, .uplot *, .uplot *::before, .uplot *::after {box-sizing: border-box;}.uplot {font-family: system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", Arial, \"Noto Sans\", sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";line-height: 1.5;width: min-content;}.u-title {text-align: center;font-size: 18px;font-weight: bold;}.u-wrap {position: relative;user-select: none;}.u-over, .u-under {position: absolute;}.u-under {overflow: hidden;}.uplot canvas {display: block;position: relative;width: 100%;height: 100%;}.u-axis {position: absolute;}.u-legend {font-size: 14px;margin: auto;text-align: center;}.u-inline {display: block;}.u-inline * {display: inline-block;}.u-inline tr {margin-right: 16px;}.u-legend th {font-weight: 600;}.u-legend th > * {vertical-align: middle;display: inline-block;}.u-legend .u-marker {width: 1em;height: 1em;margin-right: 4px;background-clip: padding-box !important;}.u-inline.u-live th::after {content: \":\";vertical-align: middle;}.u-inline:not(.u-live) .u-value {display: none;}.u-series > * {padding: 4px;}.u-series th {cursor: pointer;}.u-legend .u-off > * {opacity: 0.3;}.u-select {background: rgba(0,0,0,0.07);position: absolute;pointer-events: none;}.u-cursor-x, .u-cursor-y {position: absolute;left: 0;top: 0;pointer-events: none;will-change: transform;}.u-hz .u-cursor-x, .u-vt .u-cursor-y {height: 100%;border-right: 1px dashed #607D8B;}.u-hz .u-cursor-y, .u-vt .u-cursor-x {width: 100%;border-bottom: 1px dashed #607D8B;}.u-cursor-pt {position: absolute;top: 0;left: 0;border-radius: 50%;border: 0 solid;pointer-events: none;will-change: transform;/*this has to be !important since we set inline \"background\" shorthand */background-clip: padding-box !important;}.u-axis.u-off, .u-select.u-off, .u-cursor-x.u-off, .u-cursor-y.u-off, .u-cursor-pt.u-off {display: none;}", "/*\n * Copyright (c) 2026, Camillo Bruni.\n * Use of this source code is governed by a BSD-style license that can be\n * found in the LICENSE file.\n */\n\n@import './uPlot.min.css';\n\n/* \u2500\u2500\u2500 Variables \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n@font-face {\n font-family: 'Material Symbols Rounded';\n font-style: normal;\n font-weight: 100 700;\n src: url('../../material_symbols_rounded.woff2') format('woff2');\n}\n\n:root {\n --bg: #0e0e10;\n --surface: #18181b;\n --surface2: #222226;\n --border: #2e2e34;\n --border2: #3a3a42;\n --text: #e8e8ec;\n --text-muted: #888896;\n --text-dim: #555564;\n --theme-color: #3b82f6;\n --accent: var(--theme-color);\n --accent-hover: color-mix(in srgb, var(--theme-color) 80%, white);\n --danger: #ef4444;\n --sidebar-w: 230px;\n\n /* Font Sizes */\n --fs-s: 10px;\n --fs-m: 12px;\n --fs-l: 14px; /* For titles only */\n\n /* Icon Sizes */\n --is-s: 16px;\n --is-m: 20px;\n\n --handle-color: #3b82f6;\n}\n\n/* Font Size Classes */\n.font-s {\n font-size: 10px;\n}\n.font-m {\n font-size: 12px;\n}\n.font-l {\n font-size: 14px;\n}\n\n* {\n box-sizing: border-box;\n}\n\nbody,\nhtml {\n margin: 0;\n padding: 0;\n width: 100%;\n height: 100%;\n background: var(--bg);\n color: var(--text);\n font-family:\n system-ui,\n -apple-system,\n sans-serif;\n font-size: var(--fs-m);\n}\n\nbody {\n opacity: 1;\n}\n\nbody.loading-fonts {\n opacity: 0;\n}\n\nbutton {\n font-family: inherit;\n cursor: pointer;\n font-size: var(--fs-m);\n}\n\n/* Material symbols config */\n.material-symbols-rounded {\n font-family: 'Material Symbols Rounded';\n font-weight: normal;\n font-style: normal;\n font-size: var(--is-m);\n line-height: 1;\n letter-spacing: normal;\n text-transform: none;\n display: inline-block;\n white-space: nowrap;\n word-wrap: normal;\n direction: ltr;\n -webkit-font-smoothing: antialiased;\n font-variation-settings:\n 'FILL' 0,\n 'wght' 400,\n 'GRAD' 0,\n 'opsz' 24;\n}\n\n/* \u2500\u2500\u2500 Layout \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n#app {\n display: flex;\n width: 100vw;\n height: 100vh;\n overflow: hidden;\n}\n\n.hidden {\n display: none !important;\n}\n\n#global-loader {\n position: fixed;\n inset: 0;\n background: rgba(0, 0, 0, 0.7);\n z-index: 10000;\n display: flex;\n align-items: center;\n justify-content: center;\n}\n\n#import-warning {\n}\n\n.loader-box {\n background: var(--surface);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 0;\n display: flex;\n flex-direction: row;\n align-items: stretch;\n color: var(--text);\n font-weight: 700;\n box-shadow: 0 4px 20px rgba(0, 0, 0, 0.5);\n max-width: 450px;\n width: 90%;\n overflow: hidden;\n position: relative;\n}\n\n#loader-close {\n position: absolute;\n top: 12px;\n right: 12px;\n background: none;\n border: none;\n color: var(--text-muted);\n cursor: pointer;\n padding: 4px;\n border-radius: 50%;\n display: flex;\n align-items: center;\n justify-content: center;\n}\n\n#loader-close:hover {\n background: var(--surface2);\n color: var(--text);\n}\n\n.loader-icon-wrap {\n background: color-mix(in srgb, var(--accent) 10%, transparent);\n display: flex;\n flex-direction: column;\n align-items: center;\n justify-content: center;\n padding: 24px;\n border-right: 1px solid var(--border);\n gap: 8px;\n}\n\n.loader-icon-wrap > span {\n font-size: var(--fs-l);\n color: var(--accent);\n}\n\n#loader-warning-count {\n font-size: var(--fs-m);\n color: #f59e0b;\n font-weight: 700;\n display: none;\n align-items: center;\n gap: 4px;\n}\n\n.loader-content {\n padding: 24px;\n flex: 1;\n display: flex;\n flex-direction: column;\n gap: 12px;\n justify-content: center;\n}\n\n#loader-text {\n font-size: var(--fs-l);\n font-weight: 700;\n color: var(--text);\n}\n\n#loader-filename {\n font-size: var(--fs-m);\n color: var(--text-muted);\n font-weight: 400;\n white-space: nowrap;\n overflow: hidden;\n text-overflow: ellipsis;\n width: 300px;\n}\n\n#loader-progress-wrap {\n width: 300px;\n height: 4px;\n background: var(--surface2);\n border-radius: 2px;\n margin-top: 4px;\n overflow: hidden;\n}\n\n#loader-subtext {\n font-size: var(--fs-m);\n color: var(--text-muted);\n font-weight: 400;\n display: flex;\n align-items: center;\n justify-content: space-between;\n width: 300px;\n margin-top: 0;\n}\n\n.progress-index {\n text-align: left;\n}\n\n.progress-total {\n text-align: right;\n}\n\n#loader-progress-bar {\n width: 0%;\n height: 100%;\n background: var(--accent);\n}\n\n/* \u2500\u2500\u2500 Sidebar \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n#sidebar {\n width: var(--sidebar-w);\n flex-shrink: 0;\n display: flex;\n flex-direction: column;\n background: var(--surface);\n border-right: 1px solid var(--border);\n z-index: 10;\n}\n\n#sidebar-header {\n padding: 16px 12px;\n border-bottom: 1px solid var(--border);\n}\n\n.logo {\n display: flex;\n align-items: center;\n gap: 10px;\n}\n.logo-icon {\n color: var(--accent);\n font-size: var(--fs-l);\n}\n.logo-title {\n font-weight: 800;\n font-size: var(--fs-l);\n letter-spacing: -0.5px;\n}\n.logo-sub {\n font-size: var(--fs-s);\n text-transform: uppercase;\n color: var(--text-dim);\n font-weight: 700;\n letter-spacing: 1px;\n margin-top: -2px;\n}\n\n/* Drop zone */\n#drop-zone {\n margin: 12px;\n padding: 20px 12px;\n border: 2px dashed var(--border2);\n border-radius: 12px;\n display: flex;\n flex-direction: column;\n align-items: center;\n text-align: center;\n position: relative;\n}\n#drop-zone.drop-active {\n border-color: var(--accent);\n background: color-mix(in srgb, var(--theme-color) 5%, transparent);\n}\n.drop-icon {\n font-size: var(--is-m);\n color: var(--text-muted);\n margin-bottom: 4px;\n}\n.drop-primary {\n font-size: var(--fs-m);\n font-weight: 600;\n color: var(--text);\n}\n.drop-formats {\n display: flex;\n justify-content: center;\n gap: 6px;\n margin-top: 8px;\n}\n.drop-formats .badge {\n background: var(--surface2);\n color: var(--text-dim);\n font-size: var(--fs-s);\n padding: 2px 6px;\n}\n\n.drop-browse-container {\n margin-top: 12px;\n font-size: var(--fs-s);\n color: var(--text-muted);\n display: flex;\n align-items: center;\n justify-content: center;\n gap: 2px;\n}\n.drop-browse {\n color: var(--accent);\n font-weight: 600;\n cursor: pointer;\n display: inline-flex;\n align-items: center;\n gap: 4px;\n}\n.drop-browse .material-symbols-rounded {\n font-size: var(--fs-l);\n}\n.drop-browse:hover {\n color: var(--accent-hover);\n}\n.drop-separator {\n margin: 0 6px;\n color: var(--border2);\n vertical-align: middle;\n}\n\n/* Track list header */\n#track-list-header {\n display: flex;\n align-items: center;\n justify-content: space-between;\n padding: 12px 12px 8px;\n}\n.section-label {\n font-size: var(--fs-s);\n font-weight: 700;\n text-transform: uppercase;\n color: var(--text-dim);\n letter-spacing: 0.5px;\n}\n\n.header-actions {\n display: flex;\n gap: 0;\n}\n\n#track-controls,\n#sort-controls {\n padding: 8px 12px;\n display: flex;\n flex-direction: column;\n gap: 8px;\n border-bottom: 1px solid var(--border);\n}\n\n.search-bar {\n display: flex;\n background: var(--bg);\n border: 1px solid var(--border);\n border-radius: 6px;\n padding: 2px 4px;\n align-items: center;\n}\n.search-icon {\n font-size: var(--is-s);\n color: var(--text-dim);\n margin-left: 4px;\n}\n.search-bar input {\n flex: 1;\n background: transparent;\n border: none;\n padding: 4px 6px;\n color: var(--text);\n font-size: var(--fs-m);\n}\n.search-bar input:focus {\n outline: none;\n}\n\n.icon-btn.mini {\n width: 20px;\n height: 20px;\n color: var(--text-dim);\n}\n.icon-btn.mini .material-symbols-rounded {\n font-size: var(--is-s);\n}\n.icon-btn.mini.active {\n color: var(--accent);\n}\n\n.sort-ctrl {\n display: flex;\n align-items: center;\n gap: 8px;\n}\n.sort-ctrl label {\n font-size: var(--fs-s);\n color: var(--text-dim);\n text-transform: uppercase;\n font-weight: 600;\n}\n\n.sort-select-btn {\n display: flex;\n align-items: center;\n gap: 6px;\n background: var(--surface2);\n border: 1px solid var(--border);\n padding: 4px 8px;\n border-radius: 6px;\n flex: 1;\n height: 24px;\n box-sizing: border-box;\n font-size: var(--fs-s);\n color: var(--text-muted);\n}\n.sort-select-btn:hover {\n border-color: var(--accent);\n color: var(--text);\n}\n.sort-select-btn .material-symbols-rounded {\n font-size: var(--is-s);\n}\n.sort-select-btn .arrow {\n font-size: var(--fs-l);\n margin-left: auto;\n opacity: 0.5;\n}\n\n/* Filter panel */\n#filter-panel {\n padding: 12px;\n background: var(--surface2);\n border-bottom: 1px solid var(--border);\n display: flex;\n flex-direction: column;\n gap: 12px;\n}\n#filter-panel.hidden {\n display: none;\n}\n\n.filter-group {\n display: flex;\n flex-direction: column;\n gap: 4px;\n}\n.filter-group label {\n font-size: var(--fs-s);\n font-weight: 600;\n text-transform: uppercase;\n color: var(--text-dim);\n display: flex;\n align-items: center;\n gap: 6px;\n}\n.filter-group label .material-symbols-rounded {\n font-size: var(--is-s);\n opacity: 0.7;\n}\n\n.filter-metrics-grid {\n display: flex;\n flex-wrap: wrap;\n gap: 6px;\n margin-top: 4px;\n}\n\n.mini-pill {\n width: 28px;\n height: 28px;\n display: flex;\n align-items: center;\n justify-content: center;\n background: var(--surface);\n border: 1px solid var(--border);\n border-radius: 6px;\n color: var(--text-dim);\n cursor: pointer;\n}\n.mini-pill:hover {\n border-color: var(--text-muted);\n color: var(--text-muted);\n}\n.mini-pill.active {\n background: var(--accent);\n border-color: var(--accent);\n color: white;\n}\n.mini-pill .material-symbols-rounded {\n font-size: var(--is-s);\n}\n\n.filter-row {\n display: flex;\n align-items: center;\n gap: 6px;\n}\n.filter-row input {\n flex: 1;\n background: var(--bg);\n border: 1px solid var(--border);\n border-radius: 4px;\n padding: 4px 6px;\n color: var(--text);\n font-size: var(--fs-s);\n}\n.filter-row span {\n font-size: var(--fs-s);\n color: var(--text-dim);\n}\n#filter-panel input:focus {\n border-color: var(--accent);\n outline: none;\n}\n\n.filter-footer {\n display: flex;\n justify-content: flex-end;\n margin-top: 4px;\n}\n\n/* Track list */\n#track-list {\n flex: 1;\n overflow-y: auto;\n padding: 4px 0;\n scrollbar-width: none;\n}\n#track-list::-webkit-scrollbar {\n width: 0;\n height: 0;\n display: none;\n}\n#track-list::-webkit-scrollbar-thumb {\n background: var(--border2);\n border-radius: 2px;\n}\n\n#track-list-empty {\n padding: 40px 20px;\n text-align: center;\n color: var(--text-dim);\n font-size: var(--fs-m);\n}\n\n.track-item {\n display: flex;\n align-items: center;\n padding: 6px 8px;\n gap: 0;\n cursor: pointer;\n border-left: 3px solid transparent;\n}\n.track-item:hover {\n background: rgba(255, 255, 255, 0.03);\n}\n.track-item.selected {\n background: color-mix(in srgb, var(--theme-color) 8%, transparent);\n border-left-color: var(--accent);\n}\n\n.track-color {\n width: 3px;\n border-radius: 1px;\n flex-shrink: 0;\n margin-right: 8px;\n align-self: stretch;\n}\n.track-info {\n flex: 1;\n min-width: 0;\n margin-right: 2px;\n}\n.track-name {\n font-size: var(--fs-m);\n font-weight: 600;\n white-space: nowrap;\n overflow: hidden;\n text-overflow: ellipsis;\n margin-bottom: 1px;\n}\n.track-meta {\n font-size: var(--fs-s);\n color: var(--text-dim);\n display: flex;\n gap: 6px;\n align-items: center;\n}\n\n.track-item .icon-btn.mini {\n width: 22px;\n height: 22px;\n padding: 0;\n margin: 0;\n}\n\n.badge {\n font-size: var(--fs-s);\n background: var(--surface2);\n padding: 1px 4px;\n border-radius: 3px;\n font-weight: 700;\n color: var(--text-muted);\n}\n\n.track-tags {\n display: flex;\n flex-wrap: wrap;\n gap: 4px;\n margin-top: 6px;\n overflow: hidden;\n max-height: 32px;\n}\n\n.track-tag {\n font-size: var(--fs-s);\n font-weight: 700;\n color: var(--text-dim);\n background: rgba(255, 255, 255, 0.03);\n border: 1px solid var(--border);\n padding: 1px 5px;\n border-radius: 3px;\n white-space: nowrap;\n}\n\n.track-item.selected .track-tag {\n border-color: rgba(255, 255, 255, 0.1);\n color: var(--text-muted);\n}\n\n#sidebar-resizer {\n width: 4px;\n cursor: col-resize;\n background: transparent;\n flex-shrink: 0;\n z-index: 1000;\n margin-left: -2px;\n margin-right: -2px;\n user-select: none;\n}\n#sidebar-resizer:hover,\n#sidebar-resizer.dragging {\n background: var(--handle-color);\n}\n\nbody.dragging-sidebar {\n user-select: none;\n cursor: col-resize !important;\n}\n\n/* \u2500\u2500\u2500 Main \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n#main {\n flex: 1;\n display: flex;\n flex-direction: column;\n min-width: 0;\n}\n\n/* Map */\n#map-container {\n flex: 1;\n position: relative;\n min-height: 100px;\n}\n#map-container.editing-mode {\n border: 4px solid var(--accent);\n box-shadow: 0 0 15px var(--accent);\n z-index: 1000; /* Ensure glow is visible */\n}\n#map {\n width: 100%;\n height: 100%;\n background: var(--bg);\n}\n\n#map-controls {\n position: absolute;\n top: 12px;\n left: 12px;\n z-index: 1000;\n display: flex;\n align-items: center;\n gap: 8px;\n}\n#basemap-switcher {\n display: flex;\n background: var(--surface);\n border: 1px solid var(--border);\n border-radius: 8px;\n padding: 2px;\n height: 24px;\n box-sizing: border-box;\n box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3);\n align-items: center;\n gap: 0;\n}\n\n#selected-extra-map {\n font-size: var(--fs-s);\n font-weight: 700;\n color: var(--accent);\n padding: 0 6px;\n max-width: 120px;\n white-space: nowrap;\n overflow: hidden;\n text-overflow: ellipsis;\n cursor: pointer;\n}\n#selected-extra-map.hidden {\n display: none;\n}\n\n#btn-extra-layers {\n border: none !important;\n border-left: 1px solid var(--border) !important;\n border-radius: 0 !important;\n margin-left: 0 !important;\n padding-left: 6px !important;\n padding-right: 0 !important;\n width: auto !important;\n height: 100% !important;\n background: transparent !important;\n}\n\n#extra-layers-menu {\n position: absolute;\n top: 40px;\n right: 0;\n background: var(--surface);\n border: 1px solid var(--border);\n border-radius: 8px;\n box-shadow: 0 4px 20px rgba(0, 0, 0, 0.5);\n max-height: 300px;\n overflow-y: auto;\n width: 200px;\n z-index: 1000;\n padding: 4px;\n}\n#extra-layers-menu.hidden {\n display: none;\n}\n.extra-layers-header {\n font-size: var(--fs-s);\n font-weight: 700;\n color: var(--text-dim);\n text-transform: uppercase;\n padding: 6px 8px;\n border-bottom: 1px solid var(--border);\n margin-bottom: 4px;\n}\n.extra-layers-search {\n padding: 4px 8px;\n border-bottom: 1px solid var(--border);\n margin-bottom: 4px;\n}\n#extra-layers-search-input {\n width: 100%;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 4px;\n color: var(--text);\n font-size: var(--fs-s);\n padding: 4px 8px;\n outline: none;\n}\n#extra-layers-search-input:focus {\n border-color: var(--accent);\n}\n.extra-layers-license {\n font-size: var(--fs-s);\n color: var(--text-dim);\n padding: 4px 8px;\n border-bottom: 1px solid var(--border);\n margin-bottom: 4px;\n}\n.extra-layers-license a {\n color: var(--accent);\n text-decoration: none;\n}\n.extra-layers-license a:hover {\n text-decoration: underline;\n}\n.extra-layer-row {\n margin-bottom: 2px;\n}\n.extra-layer-item {\n display: block;\n width: 100%;\n text-align: left;\n background: transparent;\n border: none;\n color: var(--text-muted);\n padding: 4px 10px 2px 10px;\n font-size: var(--fs-s);\n font-weight: 600;\n border-radius: 4px;\n cursor: pointer;\n white-space: nowrap;\n overflow: hidden;\n text-overflow: ellipsis;\n}\n.extra-layer-item:hover {\n background: var(--surface2);\n color: var(--text);\n}\n.extra-layer-attribution {\n font-size: var(--fs-s);\n color: var(--text-dim);\n padding: 0 10px 4px 10px;\n white-space: nowrap;\n overflow: hidden;\n text-overflow: ellipsis;\n}\n#map-loader {\n background: var(--surface);\n border: 1px solid var(--border);\n border-radius: 8px;\n padding: 0 10px;\n height: 24px;\n box-sizing: border-box;\n display: flex;\n align-items: center;\n gap: 8px;\n font-size: var(--fs-s);\n font-weight: 600;\n color: var(--text-muted);\n box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3);\n}\n.spinner-sm {\n width: 12px;\n height: 12px;\n border: 2px solid var(--surface2);\n border-top-color: var(--accent);\n border-radius: 50%;\n}\n.bm-btn {\n background: transparent;\n border: none;\n color: var(--text-muted);\n padding: 2px 6px;\n font-size: var(--fs-s);\n font-weight: 600;\n border-radius: 6px;\n}\n.bm-btn:hover {\n color: var(--text);\n}\n.bm-btn.active {\n background: var(--surface2);\n color: var(--accent);\n}\n\n/* Map Cursor Dot */\n.map-cursor-dot {\n pointer-events: none;\n}\n.dot-inner {\n width: 12px;\n height: 12px;\n background: #fff;\n border: 2px solid #000;\n border-radius: 50%;\n box-shadow: 0 0 0 2px rgba(255, 255, 255, 0.5);\n}\n\n/* Map cursor info popup */\n#map-cursor-info {\n position: absolute;\n top: 12px;\n right: 12px;\n z-index: 1000;\n background: var(--surface);\n border: 1px solid var(--border);\n border-radius: 8px;\n padding: 8px 12px;\n font-size: var(--fs-s);\n color: var(--text);\n box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3);\n display: none;\n pointer-events: none;\n}\n\n/* Resize handle */\n#resize-handle {\n height: 6px;\n background: var(--bg);\n border-top: 1px solid var(--border);\n border-bottom: 1px solid var(--border);\n cursor: ns-resize;\n display: flex;\n align-items: center;\n justify-content: center;\n flex-shrink: 0;\n z-index: 100;\n}\n#resize-handle:hover {\n background: var(--handle-color);\n}\n.handle-grip {\n width: 32px;\n height: 2px;\n background: var(--border2);\n border-radius: 1px;\n}\n\n/* \u2500\u2500\u2500 Chart Panel \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n#chart-panel {\n display: flex;\n flex-direction: column;\n background: var(--surface);\n overflow: hidden;\n flex: 1;\n width: 100%;\n height: 100%;\n min-height: 0;\n}\n\n#tab-nav {\n display: flex;\n padding: 0 12px;\n border-bottom: 1px solid var(--border);\n gap: 4px;\n}\n\n.tab-btn {\n background: transparent;\n border: none;\n border-bottom: 2px solid transparent;\n color: var(--text-dim);\n padding: 10px 12px;\n font-size: var(--fs-m);\n font-weight: 700;\n display: flex;\n align-items: center;\n gap: 6px;\n}\n.tab-btn:hover {\n color: var(--text-muted);\n}\n.tab-btn.active {\n color: var(--accent);\n border-bottom-color: var(--accent);\n}\n.tab-btn .material-symbols-rounded {\n font-size: var(--is-s);\n}\n\n.tab-content {\n display: none;\n flex: 1;\n min-height: 0;\n}\n.tab-content.active {\n display: flex;\n flex-direction: column;\n overflow-y: auto;\n scrollbar-width: none;\n}\n\n/* Custom scrollbar for active tab content */\n.tab-content.active::-webkit-scrollbar {\n width: 0;\n height: 0;\n}\n.tab-content.active::-webkit-scrollbar-track {\n background: transparent;\n}\n.tab-content.active::-webkit-scrollbar-thumb {\n background: var(--border);\n border-radius: 3px;\n}\n.tab-content.active::-webkit-scrollbar-thumb:hover {\n background: var(--text-dim);\n}\n\n#chart-toolbar {\n display: flex;\n align-items: center;\n padding: 6px 12px;\n gap: 12px;\n border-bottom: 1px solid var(--border);\n background: var(--bg);\n min-height: 40px;\n position: sticky;\n top: 0;\n z-index: 100;\n}\n\n.icon-btn {\n background: transparent;\n border: 1px solid transparent;\n color: var(--text-muted);\n width: 24px;\n height: 24px;\n border-radius: 6px;\n display: flex;\n align-items: center;\n justify-content: center;\n}\n.icon-btn.hidden {\n display: none;\n}\n.icon-btn:hover {\n background: var(--surface2);\n color: var(--text);\n}\n.icon-btn.active {\n background: var(--surface2);\n color: var(--accent);\n}\n.icon-btn.danger:hover {\n background: rgba(239, 68, 68, 0.12);\n color: var(--danger);\n}\n.icon-btn .material-symbols-rounded {\n font-size: var(--fs-l);\n}\n\n#btn-metric-menu {\n flex: 0 0 auto;\n}\n\n#metric-pills {\n display: flex;\n gap: 6px;\n flex: 1;\n overflow: hidden;\n}\n.metric-pill:not(.active) {\n display: none;\n}\n.metric-pill.overflow-hidden {\n display: none !important;\n}\n#pill-overflow {\n color: var(--text-muted);\n font-weight: bold;\n padding: 0 4px;\n align-self: flex-end;\n}\n.metric-pill {\n height: 24px;\n padding: 0 8px;\n border-radius: 12px;\n border: 1px solid var(--border);\n background: var(--surface2);\n color: var(--text-muted);\n font-size: var(--fs-s);\n font-weight: 500;\n display: flex;\n align-items: center;\n gap: 4px;\n white-space: nowrap;\n}\n.metric-pill .material-symbols-rounded {\n font-size: var(--fs-m);\n}\n.metric-pill.active {\n background: color-mix(in srgb, var(--pill-color) 15%, var(--surface2));\n border-color: var(--pill-color);\n color: var(--pill-color);\n}\n.metric-pill.disabled {\n opacity: 0.3;\n filter: grayscale(1);\n cursor: default;\n}\n\n#chart-options {\n display: flex;\n align-items: center;\n gap: 0;\n margin-left: auto;\n}\n\n.seg-ctrl {\n display: flex;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 6px;\n padding: 2px;\n height: 24px;\n box-sizing: border-box;\n}\n.seg-btn {\n background: transparent;\n border: none;\n color: var(--text-dim);\n padding: 0 8px;\n font-size: var(--fs-s);\n font-weight: 700;\n border-radius: 4px;\n display: flex;\n align-items: center;\n gap: 6px;\n height: 100%;\n}\n.seg-btn .material-symbols-rounded {\n font-size: var(--fs-m);\n}\n.seg-btn.active {\n background: var(--bg);\n color: var(--text);\n box-shadow: 0 1px 3px rgba(0, 0, 0, 0.2);\n}\n\n/* Stats Summary bar */\n#chart-stats {\n padding: 4px 14px;\n border-bottom: 1px solid var(--border);\n background: var(--surface2);\n}\n#chart-stats.hidden {\n display: none;\n}\n#chart-stats-wrap {\n display: flex;\n flex-direction: column;\n gap: 2px;\n}\n.stats-row {\n display: flex;\n align-items: center;\n gap: 16px;\n}\n.stats-row-label {\n width: 45px;\n font-size: var(--fs-s);\n font-weight: 700;\n text-transform: uppercase;\n letter-spacing: 0.8px;\n color: var(--text-muted);\n white-space: nowrap;\n}\n\n.chart-row-stats-container {\n display: flex;\n flex: 1;\n align-items: center;\n justify-content: space-between;\n}\n\n.chart-row-right-actions {\n width: 130px; /* HIST_W */\n display: none;\n align-items: center;\n justify-content: flex-end;\n flex-shrink: 0;\n}\n.with-histogram .chart-row-right-actions {\n display: flex;\n}\n.chart-stats-total,\n.chart-stats-selection {\n display: flex;\n gap: 10px;\n font-size: var(--fs-s);\n color: var(--text-dim);\n align-items: center;\n white-space: nowrap;\n font-weight: 500;\n}\n.chart-stats-selection {\n margin-left: auto;\n position: relative;\n}\n.chart-stats-selection::after {\n content: '';\n position: absolute;\n bottom: -6px;\n left: 0;\n right: 0;\n height: 2px;\n background-color: var(--sel-color);\n pointer-events: none;\n}\n.all-chip {\n background: var(--surface2);\n color: var(--text-muted);\n font-weight: 500;\n padding: 2px;\n border-radius: 4px;\n font-size: var(--fs-m);\n margin-right: 4px;\n cursor: pointer;\n border: 1px solid var(--border);\n display: flex;\n align-items: center;\n justify-content: center;\n}\n.all-chip:hover {\n background: var(--border);\n color: var(--text);\n}\n.sel-tag {\n background: var(--surface2);\n color: var(--text-muted);\n font-weight: 500;\n padding: 2px;\n border-radius: 4px;\n font-size: var(--fs-m);\n margin-right: 4px;\n display: flex;\n align-items: center;\n justify-content: center;\n border: 1px solid var(--border);\n}\n\n.mm-item {\n display: flex;\n align-items: center;\n gap: 2px;\n white-space: nowrap;\n}\n.mm-icon {\n font-size: var(--fs-m);\n color: var(--text-dim);\n}\n\n/* \u2500\u2500 uPlot overrides \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n.uplot {\n color: var(--text-muted) !important;\n}\n.u-title {\n display: none;\n}\n.u-legend {\n display: none;\n}\n\n/* Selection drag background \u2014 colour matches the chart's metric */\n.chart-row .u-select {\n background: color-mix(in srgb, var(--chart-color, #3b82f6) 12%, transparent) !important;\n border: 1px solid color-mix(in srgb, var(--chart-color, #3b82f6) 35%, transparent) !important;\n}\n\n/* Make the cursor crosshair dashed */\n.u-cursor-x {\n border-left: 1px dashed rgba(255, 255, 255, 0.55) !important;\n}\n.u-cursor-y {\n display: none !important;\n}\n\n/* \u2500\u2500 Selection fill \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n.sel-fill {\n position: absolute;\n top: 0;\n background: color-mix(in srgb, var(--theme-color) 8%, transparent);\n border-left: 1px solid color-mix(in srgb, var(--theme-color) 30%, transparent);\n border-right: 1px solid rgba(148, 163, 184, 0.4);\n pointer-events: none;\n}\n\n/* \u2500\u2500 Selection handles \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n.sel-handle {\n position: absolute;\n top: 50%;\n transform: translate(-50%, -50%);\n width: 8px;\n height: 24px;\n background: rgba(255, 255, 255, 0.85);\n border: 1px solid rgba(0, 0, 0, 0.3);\n border-radius: 4px;\n cursor: ew-resize;\n pointer-events: auto;\n display: flex;\n align-items: center;\n justify-content: center;\n z-index: 10;\n}\n.sel-handle::after {\n content: '';\n width: 2px;\n height: 10px;\n border-left: 1px solid rgba(0, 0, 0, 0.4);\n border-right: 1px solid rgba(0, 0, 0, 0.4);\n}\n.sel-handle:hover {\n background: #fff;\n transform: translate(-50%, -50%) scale(1.1);\n}\n\n.sel-graph-marker {\n position: absolute;\n transform: translate(-50%, -50%);\n pointer-events: none;\n z-index: 11;\n background: none !important;\n}\n.sel-graph-marker .material-symbols-rounded {\n}\n\n/* \u2500\u2500 Per-chart selection lines \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n.sel-line {\n position: absolute;\n top: 0;\n height: 100%;\n width: 0;\n border-left-width: 1.5px;\n border-left-style: solid;\n pointer-events: none;\n}\n\n/* Labels on the selection lines */\n.sel-line-label {\n position: absolute;\n top: 4px;\n font-size: var(--fs-s);\n font-weight: 700;\n background: rgba(14, 14, 16, 0.92);\n color: #fff;\n padding: 2px 5px;\n border-radius: 4px;\n pointer-events: none;\n white-space: nowrap;\n z-index: 10;\n border: 1px solid var(--border);\n}\n\n/* \u2500\u2500 Charts view elements \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n#charts-container {\n flex: 1;\n overflow-y: auto;\n overflow-x: hidden;\n padding: 6px 0 4px;\n scrollbar-width: none;\n}\n#charts-container::-webkit-scrollbar {\n width: 0;\n height: 0;\n}\n#charts-container::-webkit-scrollbar-thumb {\n background: var(--border2);\n border-radius: 2px;\n}\n\n/* Fixed X Axis Labels */\n.fixed-x-label {\n position: absolute;\n bottom: 4px;\n font-size: var(--fs-s);\n font-family: system-ui, sans-serif;\n color: #555564;\n z-index: 10;\n pointer-events: none;\n}\n.fixed-x-max {\n right: 0;\n text-align: right;\n}\n\n/* Histogram column (inline, per chart row) */\n.chart-row-body {\n display: flex;\n flex-direction: row;\n padding: 0 14px;\n min-width: 0;\n overflow: hidden;\n}\n.chart-row-body > div:first-child {\n flex: 1;\n min-width: 0;\n}\n.hist-col {\n width: 130px;\n flex-shrink: 0;\n border-left: 1px solid var(--border);\n margin-left: 20px;\n margin-right: 0;\n display: none;\n align-items: center;\n justify-content: center;\n cursor: crosshair;\n}\n.hist-col.visible {\n display: flex;\n}\n.hist-canvas {\n display: block;\n}\n\n/* Histogram connector line */\n#hist-line {\n position: fixed;\n height: 0;\n border-top: 1px dashed rgba(255, 255, 255, 0.25);\n pointer-events: none;\n display: none;\n z-index: 10000;\n}\n\n/* Histogram tooltip */\n#hist-tooltip {\n position: fixed;\n background: var(--surface);\n border: 1px solid var(--border2);\n border-radius: 5px;\n padding: 8px 10px;\n pointer-events: none;\n display: none;\n z-index: 10001;\n box-shadow: 0 4px 15px rgba(0, 0, 0, 0.5);\n font-size: var(--fs-s);\n}\n.hist-tt-header {\n font-weight: 800;\n margin-bottom: 6px;\n padding-left: 8px;\n border-left: 3px solid var(--accent);\n color: var(--text);\n}\n.hist-tt-grid {\n display: grid;\n grid-template-columns: 1fr auto auto;\n gap: 10px;\n align-items: baseline;\n}\n.hist-tt-label {\n font-size: var(--fs-s);\n color: var(--text-muted);\n}\n.hist-tt-value {\n font-size: var(--fs-s);\n color: var(--text);\n text-align: right;\n font-variant-numeric: tabular-nums;\n}\n.hist-tt-pct {\n font-size: var(--fs-s);\n color: var(--text-dim);\n text-align: right;\n min-width: 36px;\n font-variant-numeric: tabular-nums;\n}\n.hist-tt-grid.sel-row {\n margin-top: 2px;\n opacity: 0.9;\n}\n.hist-tt-label.sel {\n color: var(--accent);\n font-weight: 700;\n}\n\n.chart-row {\n border-bottom: 1px solid var(--border);\n}\n.chart-row:last-child {\n border-bottom: none;\n}\n\n/* \u2500\u2500 Chart row header \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n.chart-row-header {\n display: flex;\n align-items: center;\n gap: 12px;\n padding: 8px 14px 4px 14px;\n min-height: 28px;\n}\n\n.progress-chart-row {\n display: flex;\n flex-direction: column;\n}\n\n.progress-chart-row .chart-row-header {\n height: 36px;\n box-sizing: border-box;\n padding-top: 0;\n padding-bottom: 0;\n}\n\n.progress-chart-row .chart-row-actions {\n margin-left: auto;\n}\n\n.progress-chart-row .chart-row-body {\n flex: 1;\n padding: 0;\n}\n\n.chart-row-label-group {\n display: flex;\n align-items: center;\n gap: 8px;\n flex-shrink: 0;\n width: 140px; /* Fixed width for alignment */\n}\n\n.chart-row-actions {\n display: flex;\n align-items: center;\n gap: 0;\n}\n\n.chart-row-icon {\n font-size: var(--is-s);\n color: var(--chart-color);\n}\n.chart-row-label {\n font-size: var(--fs-m);\n font-weight: 700;\n text-transform: uppercase;\n letter-spacing: 0.8px;\n color: var(--text-muted);\n white-space: nowrap;\n}\n\n/* Track Picker Popup */\n.track-picker-popup {\n padding: 8px;\n background: var(--surface);\n color: var(--text);\n border-radius: 8px;\n min-width: 160px;\n}\n.picker-header {\n font-size: var(--fs-s);\n text-transform: uppercase;\n font-weight: 700;\n color: var(--text-dim);\n margin-bottom: 8px;\n padding-bottom: 4px;\n border-bottom: 1px solid var(--border);\n}\n.picker-list {\n display: flex;\n flex-direction: column;\n gap: 2px;\n}\n.picker-item {\n display: flex;\n align-items: center;\n gap: 8px;\n padding: 6px 8px;\n border-radius: 6px;\n cursor: pointer;\n}\n.picker-item:hover {\n background: var(--surface2);\n}\n.picker-color {\n width: 3px;\n height: 14px;\n border-radius: 1px;\n}\n.picker-info {\n display: flex;\n flex-direction: column;\n min-width: 0;\n}\n.picker-name {\n font-size: var(--fs-s);\n font-weight: 600;\n white-space: nowrap;\n overflow: hidden;\n text-overflow: ellipsis;\n max-width: 180px;\n}\n/* Custom Modal / Dialog */\n.modal-backdrop {\n position: fixed;\n inset: 0;\n background: rgba(0, 0, 0, 0.75);\n backdrop-filter: blur(4px);\n display: flex;\n align-items: center;\n justify-content: center;\n z-index: 20000;\n}\n.modal-content {\n background: var(--surface);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 24px;\n width: 100%;\n max-width: 320px;\n box-shadow: 0 20px 40px rgba(0, 0, 0, 0.5);\n display: flex;\n flex-direction: column;\n gap: 16px;\n}\n.modal-title {\n font-size: var(--fs-l);\n font-weight: 800;\n color: var(--text);\n}\n.modal-body {\n font-size: var(--fs-m);\n color: var(--text-muted);\n line-height: 1.5;\n}\n.modal-input-wrap {\n display: flex;\n flex-direction: column;\n gap: 8px;\n}\n.modal-input-label {\n font-size: var(--fs-s);\n font-weight: 700;\n text-transform: uppercase;\n color: var(--text-dim);\n}\n.modal-input {\n background: var(--bg);\n border: 1px solid var(--border2);\n border-radius: 6px;\n padding: 10px;\n color: var(--text);\n font-size: var(--fs-l);\n font-weight: 800;\n text-align: center;\n letter-spacing: 4px;\n}\n.modal-input:focus {\n outline: none;\n border-color: var(--accent);\n}\n.modal-actions {\n display: flex;\n gap: 12px;\n margin-top: 8px;\n}\n.modal-btn {\n flex: 1;\n padding: 10px;\n border-radius: 6px;\n font-size: var(--fs-m);\n font-weight: 700;\n border: 1px solid transparent;\n}\n.modal-btn.cancel {\n background: var(--surface2);\n color: var(--text);\n border-color: var(--border);\n}\n.modal-btn.cancel:hover {\n background: var(--border);\n}\n.modal-btn.confirm {\n background: var(--danger);\n color: #fff;\n}\n.modal-btn.confirm:disabled {\n opacity: 0.3;\n cursor: not-allowed;\n filter: grayscale(1);\n}\n.modal-btn.confirm:not(:disabled):hover {\n filter: brightness(1.1);\n}\n\n.picker-meta {\n font-size: var(--fs-s);\n color: var(--text-dim);\n font-weight: 700;\n}\n\n/* Leaflet Popup Overrides */\n.leaflet-popup-content-wrapper,\n.leaflet-popup-tip {\n background: var(--surface) !important;\n color: var(--text) !important;\n border: 1px solid var(--border) !important;\n box-shadow: 0 4px 12px rgba(0, 0, 0, 0.4) !important;\n}\n.leaflet-popup-content {\n margin: 0 !important;\n}\n.leaflet-popup-tip {\n border: none !important;\n}\n.map-color-btn {\n margin-left: 4px;\n}\n.map-color-btn .material-symbols-rounded {\n font-size: var(--is-s);\n}\n.map-color-btn.active {\n color: var(--chart-color, var(--accent));\n}\n\n.smooth-btn.active {\n color: var(--accent);\n}\n.cur-y-val {\n position: absolute;\n left: 0;\n top: 0;\n pointer-events: none;\n font-size: var(--fs-s);\n font-weight: 700;\n background: rgba(14, 14, 16, 0.92);\n padding: 2px 6px;\n border-radius: 4px;\n border: 1px solid rgba(255, 255, 255, 0.1);\n z-index: 2000;\n white-space: nowrap;\n}\n.cur-y-val.pin {\n z-index: 1000;\n opacity: 0.7;\n}\n\n/* \u2500\u2500\u2500 Details View \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n#details-view {\n width: 100%;\n padding: 24px;\n max-width: 900px;\n margin: 0 auto;\n}\n\n#details-header {\n margin-bottom: 32px;\n}\n.details-title {\n font-size: var(--fs-l);\n font-weight: 800;\n margin-bottom: 4px;\n}\n.details-subtitle {\n font-size: var(--fs-m);\n color: var(--text-muted);\n}\n\n.details-grid {\n display: grid;\n grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));\n gap: 16px;\n}\n.details-card {\n background: var(--surface2);\n border: 1px solid var(--border);\n padding: 16px;\n border-radius: 12px;\n display: flex;\n flex-direction: column;\n gap: 4px;\n}\n.details-card .material-symbols-rounded {\n color: var(--accent);\n margin-bottom: 4px;\n font-size: var(--is-m);\n}\n.details-card-label {\n font-size: var(--fs-s);\n font-weight: 500;\n text-transform: uppercase;\n color: var(--text-dim);\n letter-spacing: 0.5px;\n}\n.details-card-value {\n font-size: var(--fs-l);\n font-weight: 500;\n}\n\n.empty-state {\n display: flex;\n flex-direction: column;\n align-items: center;\n justify-content: center;\n height: 100%;\n color: var(--text-dim);\n gap: 12px;\n padding: 40px 20px;\n}\n.empty-icon {\n font-size: var(--fs-l);\n opacity: 0.2;\n}\n.empty-text {\n font-size: var(--fs-m);\n font-weight: 500;\n}\n\n#chart-empty {\n height: 100%;\n}\n#details-empty {\n margin-top: 40px;\n}\n\n/* \u2500\u2500 Toast notifications \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n#toast-container {\n position: fixed;\n bottom: 20px;\n left: 50%;\n transform: translateX(-50%);\n display: flex;\n flex-direction: column;\n gap: 8px;\n z-index: 9999;\n}\n.toast {\n background: var(--surface2);\n color: var(--text);\n padding: 10px 20px;\n border-radius: 8px;\n font-size: var(--fs-m);\n font-weight: 600;\n box-shadow: 0 8px 24px rgba(0, 0, 0, 0.4);\n border: 1px solid var(--border2);\n}\n.toast.error {\n border-color: var(--danger);\n}\n.toast.out {\n}\n\n/* \u2500\u2500 Sort menu popup \u2500\u2500 */\n.sort-menu-popup,\n.metric-menu-popup {\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 8px;\n padding: 6px;\n min-width: 180px;\n box-shadow: 0 8px 24px rgba(0, 0, 0, 0.5);\n}\n\n.menu-item {\n display: flex;\n align-items: center;\n gap: 10px;\n padding: 8px 10px;\n border-radius: 6px;\n cursor: pointer;\n color: var(--text-muted);\n}\n.menu-item:hover {\n background: var(--surface);\n color: var(--text);\n}\n.menu-item.active {\n color: var(--text);\n font-weight: 600;\n}\n.menu-item .material-symbols-rounded {\n font-size: var(--is-s);\n}\n.menu-item .item-label {\n flex: 1;\n font-size: var(--fs-m);\n}\n.menu-item .arrow,\n.menu-item .check {\n font-size: var(--is-s);\n color: var(--text-dim);\n}\n\n/* \u2500\u2500\u2500 Insights View \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n#insights-view {\n width: 100%;\n padding: 24px;\n max-width: 1000px;\n margin: 0 auto;\n}\n\n.insights-grid {\n column-count: 2;\n column-gap: 24px;\n}\n\n@media (max-width: 900px) {\n .insights-grid {\n column-count: 1;\n }\n}\n\n.insight-card {\n display: inline-flex;\n width: 100%;\n break-inside: avoid;\n margin-bottom: 24px;\n background: var(--surface2);\n border: 1px solid var(--border);\n padding: 20px;\n border-radius: 12px;\n flex-direction: column;\n gap: 16px;\n}\n\n.insight-title {\n font-size: var(--fs-m);\n font-weight: 700;\n text-transform: uppercase;\n letter-spacing: 0.8px;\n display: flex;\n align-items: center;\n gap: 8px;\n color: var(--text-muted);\n}\n\n.insight-title .material-symbols-rounded {\n font-size: var(--is-s);\n}\n\n.insight-chart-container {\n width: 100%;\n height: 250px;\n}\n\n.power-curve-table {\n width: 100%;\n border-collapse: collapse;\n font-size: var(--fs-m);\n margin-top: 0;\n}\n\n.power-curve-table th {\n text-align: left;\n color: var(--text-dim);\n padding: 4px 8px;\n font-weight: 600;\n border-bottom: 1px solid var(--border);\n}\n\n.power-curve-table td {\n padding: 6px 8px;\n border-bottom: 1px solid var(--border);\n}\n\n.power-curve-table tr:last-child td {\n border-bottom: none;\n}\n\n.progress-details summary {\n cursor: pointer;\n font-size: var(--fs-m);\n color: var(--text-dim);\n display: flex;\n align-items: center;\n gap: 4px;\n list-style: none;\n}\n\n.progress-details summary::-webkit-details-marker {\n display: none;\n}\n\n.progress-details[open] summary .expand-icon {\n transform: rotate(90deg);\n}\n\n.progress-details summary .material-symbols-rounded {\n font-size: var(--fs-l);\n}\n\n.progress-details summary .expand-icon {\n}\n\n.power-curve-val {\n font-weight: 700;\n color: var(--text);\n text-align: right;\n}\n\n.evolution-select-btn {\n background: none;\n border: none;\n cursor: pointer;\n color: var(--chart-color);\n padding: 0;\n font-size: var(--fs-l);\n vertical-align: middle;\n margin-left: 4px;\n}\n\n.hr-settings-popup {\n display: flex;\n flex-direction: column;\n}\n\n.hr-input-row {\n display: flex;\n justify-content: space-between;\n align-items: center;\n font-size: var(--fs-m);\n color: var(--text-muted);\n font-weight: 600;\n}\n\n.hr-zone-input {\n background: var(--surface);\n border: 1px solid var(--border);\n border-radius: 4px;\n color: var(--text);\n width: 60px;\n padding: 4px 8px;\n font-size: var(--fs-m);\n text-align: right;\n outline: none;\n}\n\n.hr-zone-input:focus {\n border-color: var(--accent);\n}\n\n.save-btn {\n background: var(--accent);\n color: #fff;\n border: none;\n border-radius: 6px;\n padding: 8px;\n font-size: 12px;\n font-weight: 700;\n cursor: pointer;\n}\n\n.save-btn:hover {\n background: var(--accent-hover);\n}\n\n.menu-item.active .arrow,\n.menu-item.active .check {\n color: var(--accent);\n}\n\n/* \u2500\u2500 Evolution View \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 */\n.evolution-toolbar {\n display: flex;\n align-items: center;\n justify-content: space-between;\n padding: 6px 12px;\n border-bottom: 1px solid var(--border);\n background: var(--bg);\n min-height: 40px;\n}\n\n.evolution-toolbar-left,\n.evolution-toolbar-right {\n display: flex;\n align-items: center;\n gap: 12px;\n}\n\n.evolution-toolbar .metric-pills {\n display: flex;\n gap: 6px;\n}\n\n.evolution-toolbar .metric-pill {\n cursor: pointer;\n}\n\n.evolution-container {\n display: flex;\n flex-direction: column;\n gap: 0px;\n padding: 6px 0 4px;\n}\n\n.evolution-card-group {\n display: flex;\n flex-direction: column;\n gap: 10px;\n width: 100%;\n}\n\n.evolution-legend {\n display: flex;\n gap: 16px;\n font-size: 12px;\n color: var(--text-dim);\n margin-top: 0px;\n margin-bottom: 0px;\n justify-content: center;\n}\n\n.evolution-legend-item {\n display: flex;\n align-items: center;\n gap: 6px;\n}\n\n.evolution-legend-line {\n width: 16px;\n height: 0;\n display: inline-block;\n}\n\n.evolution-legend-line.solid {\n border-top: 2px solid var(--chart-color);\n}\n\n.evolution-legend-line.dashed {\n border-top: 2px dashed #888888;\n}\n\n.evolution-tooltip-title {\n font-weight: bold;\n margin-bottom: 4px;\n}\n\n.evolution-tooltip-row {\n display: flex;\n justify-content: space-between;\n gap: 15px;\n}\n\n.evolution-tooltip-label {\n color: #8a8a93;\n}\n\n.evolution-tooltip-value {\n font-weight: bold;\n}\n\n.evolution-empty-text {\n color: var(--text-dim);\n font-size: 12px;\n text-align: center;\n margin-top: 20px;\n}\n\n.evolution-chart-container {\n height: 250px;\n flex: 1;\n}\n\n.distance-progress-card .card-content,\n.elevation-progress-card .card-content {\n display: flex;\n gap: 20px;\n}\n\n.chart-scroll-container {\n flex: 1;\n overflow-x: auto;\n position: relative;\n background: var(--bg-dim);\n border-radius: 8px;\n padding: 10px;\n scrollbar-width: none;\n}\n.chart-scroll-container::-webkit-scrollbar {\n width: 0;\n height: 0;\n display: none;\n}\n\n.accumulated-table-container {\n width: 250px;\n background: var(--bg-dim);\n border-radius: 8px;\n padding: 15px;\n}\n\n.accumulated-table {\n width: 100%;\n border-collapse: collapse;\n font-size: var(--fs-m);\n}\n\n.accumulated-table th,\n.accumulated-table td {\n padding: 4px 8px;\n text-align: left;\n border-bottom: 1px solid var(--border-color);\n}\n\n.accumulated-table th {\n color: var(--text-dim);\n font-weight: 500;\n text-transform: uppercase;\n font-size: var(--fs-m);\n letter-spacing: 0.5px;\n}\n\n.accumulated-table td:last-child {\n text-align: right;\n font-weight: 500;\n font-family: monospace;\n}\n\n.accumulated-table tr:last-child td {\n border-bottom: none;\n}\n\n.chart-scroll-container::-webkit-scrollbar {\n height: 4px;\n}\n\n.chart-scroll-container::-webkit-scrollbar-thumb {\n background: var(--border2);\n border-radius: 2px;\n}\n\n/* uPlot overrides to comply with font size restrictions */\n.u-title {\n font-size: var(--fs-m) !important;\n}\n.u-legend {\n font-size: var(--fs-m) !important;\n}\n\n/* Courses Tab */\n.courses-container {\n padding: 16px;\n display: flex;\n flex-direction: column;\n gap: 16px;\n}\n\n.courses-list {\n display: flex;\n flex-direction: column;\n gap: 8px;\n}\n\n.course-item {\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 8px;\n display: flex;\n flex-direction: column;\n cursor: pointer;\n overflow: hidden;\n}\n\n.course-item:hover {\n background: var(--surface3);\n border-color: var(--border-high);\n}\n\n.course-item-header {\n padding: 6px 12px;\n display: flex;\n align-items: center;\n gap: 12px;\n width: 100%;\n}\n\n.course-name {\n font-weight: 600;\n flex: 1;\n}\n\n.course-meta {\n color: var(--text-muted);\n font-size: var(--fs-s);\n}\n\n.course-actions {\n display: flex;\n gap: 4px;\n}\n\n.course-actions .icon-btn {\n opacity: 0.5;\n}\n\n.course-item:hover .course-actions .icon-btn {\n opacity: 1;\n}\n\n.expand-icon {\n color: var(--text-muted);\n}\n\n.course-tracks {\n padding: 8px 12px;\n border-top: 1px solid var(--border);\n background: var(--surface1);\n}\n\n.course-tracks-title {\n font-size: var(--fs-xs);\n font-weight: 700;\n color: var(--text-muted);\n text-transform: uppercase;\n letter-spacing: 0.5px;\n margin-bottom: 6px;\n}\n\n.course-tracks-table {\n width: 100%;\n border-collapse: collapse;\n font-size: var(--fs-s);\n color: var(--text);\n}\n\n.course-tracks-table th,\n.course-tracks-table td {\n padding: 6px 8px;\n text-align: right;\n border-bottom: 1px solid var(--border-low);\n}\n\n.course-tracks-table th:first-child,\n.course-tracks-table td:first-child,\n.course-tracks-table th:nth-child(2),\n.course-tracks-table td:nth-child(2) {\n text-align: left;\n}\n\n.course-tracks-table td:not(:first-child) {\n white-space: nowrap;\n}\n\n.course-tracks-table th {\n font-weight: 600;\n color: var(--text-muted);\n font-size: var(--fs-xs);\n text-transform: uppercase;\n letter-spacing: 0.5px;\n white-space: nowrap;\n}\n\n.course-tracks-table tr:last-child 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O=l.valToPos(E,"x",!0),N=l.valToPos(H,"y",!0),W=l.bbox,j=l.ctx,ue=window.devicePixelRatio||1;j.save(),j.beginPath(),j.strokeStyle=v,j.lineWidth=1.5*ue,j.moveTo(O,W.top),j.lineTo(O,W.top+W.height),j.stroke(),j.beginPath(),j.setLineDash([3*ue,3*ue]),j.strokeStyle=tt(v,.5),j.lineWidth=1*ue,j.moveTo(W.left,N),j.lineTo(O,N),j.stroke(),j.beginPath(),j.setLineDash([]),j.arc(O,N,5*ue,0,Math.PI*2),j.fillStyle="#0e0e10",j.fill(),j.strokeStyle=v,j.lineWidth=2.5*ue,j.stroke(),j.restore();let C=l._strasse;C&&C.pinYVal&&Es(l,C.pinYVal,p,i,f,x,$,A)}function Tl(l,i,f,v,$,x){let A=l.bbox,E=l.ctx,H=window.devicePixelRatio||1,O=l.valToPos(v,"y",!0),N=Math.max(A.top,Math.min(A.top+A.height,O));E.save(),E.beginPath(),E.setLineDash([4*H,4*H]),E.strokeStyle=tt($,.4),E.lineWidth=1*H,E.moveTo(A.left,N),E.lineTo(A.left+A.width,N),E.stroke(),El(l,i,f,N,$);let W=x.fmt(v,!0),j=`bold ${10*H}px system-ui, sans-serif`;E.font!==j&&(E.font=j);let C=E.measureText(W).width+8*H,Se=16*H,ke=A.left-C-2*H,ce=N-Se/2;E.beginPath(),E.setLineDash([]),E.roundRect?E.roundRect(ke,ce,C,Se,3*H):E.rect(ke,ce,C,Se),E.fillStyle="rgba(14,14,16,0.95)",E.fill(),E.strokeStyle=$,E.lineWidth=1*H,E.stroke(),E.fillStyle="#fff",E.textAlign="center",E.textBaseline="middle",E.fillText(W,ke+C/2,ce+Se/2+.5*H),E.restore()}function El(l,i,f,v,$){let x=l.ctx,A=l.bbox,E=l.scales.x?.min??-1/0,H=l.scales.x?.max??1/0,O=l.scales.y?.min??0,N=l.scales.y?.max??100,W=A.width/(H-E||1),j=A.height/(N-O||1),ue=l.scales.y?.dir??1,C=ue===-1?A.top:A.top+A.height,Se=ue===-1?j:-j,ke=l.series[0]?.idxs,ce=ke?Math.max(0,ke[0]-1):0,Fe=ke?Math.min(i.length-1,ke[1]+1):i.length-1,me=Math.max(1,Math.floor((Fe-ce)/250));x.save(),x.beginPath(),x.rect(A.left,A.top,A.width,A.height),x.clip(),x.fillStyle=tt($,.2),x.beginPath();let ve=!1,Ie=!1,Ve=0;for(let Ze=ce;Ze<=Fe;Ze+=me){let st=i[Ze],nt=f[Ze];if(st==null||nt==null||stH){ve&&(x.lineTo(Ve,v),x.closePath(),ve=!1);continue}let ot=A.left+(st-E)*W,lt=C+(nt-O)*Se;Ve=ot,lt>16,A=v>>8&255,E=v&255,H=$>>16,O=$>>8&255,N=$&255,W=x+(H-x)*f,j=A+(O-A)*f,ue=E+(N-E)*f;return`#${((1<<24)+(Math.round(W)<<16)+(Math.round(j)<<8)+Math.round(ue)).toString(16).slice(1)}`}function Rn(l){if(l==null)return"#888896";let i=Math.abs(l),f=Math.min(1,i/8);return l>0?Rt("#A8C8A0","#d73027",f):Rt("#A8C8A0","#4575b4",f)}function Cs(l){if(l==null)return"#888896";let i=l*3.6;if(i<=5)return"#4575b4";if(i>=60)return"#d73027";if(i<=45){let f=(i-5)/40;return f<=.25?Rt("#4575b4","#91bfdb",f/.25):f<=.5?Rt("#91bfdb","#abdda4",(f-.25)/.25):f<=.75?Rt("#abdda4","#fee08b",(f-.5)/.25):Rt("#fee08b","#fc8d59",(f-.75)/.25)}else{let f=(i-45)/15;return Rt("#fc8d59","#d73027",f)}}function Sl(l,i){let f=new Array(l.length).fill(null);for(let v=0;v0&&($.dist||0)-(l[x].dist||0)1&&l[A].ele!=null&&l[x].ele!=null&&(f[v]=(l[A].ele-l[x].ele)/E*100)}return f}function Ls(l){let i=[...l];for(let f=0;f=0&&i[v]===null;)v--;let $=f+1;for(;$=0&&$=0?i[f]=i[v]:${let O=document.querySelector(`#${E} .stat-value`);O&&(O.textContent=H)};f("stat-distance",i.totalDist!=null?`${(i.totalDist/1e3).toFixed(1)} km`:"\u2014"),f("stat-duration",i.duration!=null?ht(Math.floor(i.duration/1e3)):"\u2014"),f("stat-elevation",i.elevGain!=null?`${Math.round(i.elevGain)} m`:"\u2014");let v=E=>{let H=e.find(W=>W.metricKey===E);if(!H)return E==="speed"?i.avgSpeed??null:E==="power"?i.avgPower??null:E==="cadence"?i.avgCadence??null:null;if(H.histData.fullStats!==void 0)return H.histData.fullStats?H.histData.fullStats.avg:null;let O=w.has(E)||E!=="power"&&E!=="cadence"&&E!=="speed",N=H.yData.filter(W=>W!=null&&(O||W!==0));return N.length?N.reduce((W,j)=>W+j,0)/N.length:null},$=v("speed");f("stat-avg-speed",$!=null?`${($*3.6).toFixed(1)} km/h`:"\u2014");let x=v("power");f("stat-avg-power",x!=null?`${Math.round(x)} W`:"\u2014");let A=v("cadence");f("stat-avg-cad",A!=null?`${Math.round(A)} rpm`:"\u2014"),f("stat-avg-hr",i.avgHR!=null?`${i.avgHR} bpm`:"\u2014"),f("stat-avg-temp",i.avgTemp!=null?`${i.avgTemp.toFixed(1)} \xB0C`:"\u2014")}return{init:ye,loadTrack:Q,clear:_,resetState:oe,toggleMetric:re,setXAxis:Pe,toggleStats:de,setSelectionStats:Ne,clearSelectionStats:V,restoreSelection:Ae,resetZoom:L,cancelSelection:ee,setCursorAt:(l,i=!1)=>{if(p=l,d&&d(l),i){D&&S?.points?.[l]&&D(S.points[l]);return}c=!0,e.forEach(({uplot:f,yData:v,xData:$})=>{$[l]!=null&&v[l]!=null&&f.batch(()=>{f.setCursor({left:f.valToPos($[l],"x"),top:f.valToPos(v[l],"y")},!0,!1)})}),c=!1,D&&S?.points?.[l]&&D(S.points[l])},setHoverAt:l=>{c=!0,e.forEach(({uplot:i,yData:f,xData:v})=>{l===null?i.batch(()=>{i.setCursor({left:-10,top:-10},!0,!1)}):v[l]!=null&&f[l]!=null&&i.batch(()=>{i.setCursor({left:i.valToPos(v[l],"x"),top:i.valToPos(f[l],"y")},!0,!1)})}),c=!1,D&&D(l!=null&&S?.points?.[l]?S.points[l]:null)},clearPinnedDot:()=>{p=null,d&&d(null),e.forEach(({uplot:l})=>l.redraw(!1))},resize:he,METRICS:_t,isDragging:()=>I,setMapColorChangeCb:$e,toggleMapColor:Ce,getMapColorMetric:()=>ae,getActiveMetrics:()=>m,getAvailableMetrics:()=>T,setActiveMetrics:K,updateMetricOrder:l=>{let i=new Set;l.forEach(f=>{m.has(f)&&i.add(f)}),m.forEach(f=>{i.has(f)||i.add(f)}),m=i,S&&xe(!0)},getXAxis:()=>R};function Ml(l,i,f,v,$){let x=l.ctx,A=l.bbox,E=window.devicePixelRatio||1,H=ge($,f);x.save(),x.beginPath(),x.rect(A.left,A.top,A.width,A.height),x.clip();let O=$==="gearRear"||$==="gearFront";for(let N=1;Nue.time!=null)?.time||0,W=f.field;v.beginPath(),v.strokeStyle="rgba(255, 255, 255, 0.04)",v.lineWidth=1*x;let j=!0;for(let ue=0;ue0){let ve=O[ue-1];(C.time&&ve.time?C.time-ve.time:0)>A&&(j=!0)}let ke=f.transform?f.transform(Se):Se;if(ke==null){j=!0;continue}let ce=R==="distance"?(C.dist||0)/1e3:(C.time-N)/1e3;if(cel.scales.x.max+10){j=!0;continue}let Fe=l.valToPos(ce,"x",!0),me=l.valToPos(ke,"y",!0);if(j)v.moveTo(Fe,me),j=!1;else{if(E){let ve=O[ue-1],Ie=R==="distance"?(ve.dist||0)/1e3:(ve.time-N)/1e3;v.lineTo(l.valToPos(Ie,"x",!0),me)}v.lineTo(Fe,me)}}v.stroke()}v.restore()}function Is(l,i,f,v,$,x,A=null,E=[]){let H=l.ctx,O=l.bbox,N=window.devicePixelRatio||1,W=6e4;H.save(),H.beginPath(),H.strokeStyle=tt(v,.8),H.lineWidth=$*N;let j=x==="gearRear"||x==="gearFront",ue=!0,C=null,Se=1,ke=1;if(x==="gears"&&E.length>0){let Xe=1/0,ct=-1/0;for(let vt=0;vtct&&(ct=St))}Xe<=ct&&(Se=Xe,ke=ct)}let ce=A?A[0]:l.scales.x?.min??-1/0,Fe=A?A[1]:l.scales.x?.max??1/0,me=l.scales.x?.min??-1/0,ve=l.scales.x?.max??1/0,Ie=l.scales.y?.min??0,Ve=l.scales.y?.max??100,Ze=O.width/(ve-me||1),st=O.height/(Ve-Ie||1),nt=l.scales.y?.dir??1,ot=nt===-1?O.top:O.top+O.height,lt=nt===-1?st:-st,ie=A?null:l.series[0]?.idxs,Je=ie?Math.max(0,ie[0]-1):0,Ge=ie?Math.min(i.length-1,ie[1]+1):i.length-1,Qe=j||x==="gears"?1:Math.max(1,Math.floor((Ge-Je)/250)),rt=R==="time",ut=W/1e3,mt=Je;for(let Xe=Je;Xe<=Ge;Xe+=Qe){let ct=i[Xe],vt=f[Xe];if(ct==null||vt==null){ue=!0;continue}if(x==="gears"&&E[Xe]){let Et=E[Xe].gearFrontTooth??E[Xe].gearFront;if(Et!=null&&Et!==C){if(!ue&&Xe>0){H.stroke(),H.beginPath();let is=O.left+(i[mt]-me)*Ze,Nn=ot+(f[mt]-Ie)*lt;H.moveTo(is,Nn)}let Jt=v;ke!==Se&&Et!=null&&(Et===Se?Jt="#FFC400":Et===ke?Jt="#FF8C00":Jt="#FFA500"),H.strokeStyle=tt(Jt,.8),C=Et}}if(Xe>Je&&rt){let Et=i[mt];Et!=null&&ct-Et>ut&&(ue=!0)}if(ctFe){ue=!0;continue}let St=O.left+(ct-me)*Ze,Yt=ot+(vt-Ie)*lt;if(ue)H.moveTo(St,Yt),ue=!1;else{if(j){let Et=i[mt];H.lineTo(O.left+(Et-me)*Ze,Yt)}H.lineTo(St,Yt)}mt=Xe}H.stroke(),H.restore()}})();var Hl={"Heart Rate":De.hr.icon,Cadence:De.cadence.icon,Power:De.power.icon,Temperature:De.temperature.icon,Shifting:De.gears.icon,Battery:De.battery.icon},hn=()=>{},qs=()=>{};function Vs(e,s){hn=e,qs=s}function Os(){let e=document.getElementById("details-view");e&&(e.innerHTML=` +
+ no_sim +
Select a track for details
+
+ `)}function on(e,s=[]){let t=document.getElementById("details-view");if(!t)return;if(!e){t.innerHTML="";return}let n=e.stats,o=e.points[0].time,r=e.points,u=[2,3,4,5,6,8,10,12,15,18,20,25,30,35,40,45,50,60,75,90,105,120,150,180,240,300],c=["power","hr","cad","speed","ele","temp","dist"],m=0;for(let p=0;p<1;p++)for(let h of u)for(let F of c){let q=0,J=0,Y=0,B=h>>1;for(let z=0;z=h){let le=r[z-h][F]||0;q-=le,J-=le*le;let y=q/h,d=Math.max(0,J/h-y*y),a=r[z-B][F]||0;Y+=(D-y)*(a-y)/(d+1)}}m+=Y/(r.length||1)}let T=Math.min(99.9,Math.max(80,95+Math.tanh(m*.01)*4.5)).toFixed(1);t.innerHTML=` +
+ +
+ +
+
+
labelTags
+
+
+ + + ${s.map(p=>` + +
+
+ +
+
analyticsActivity Summary
+
+
+
Distance
+
${(n.totalDist/1e3).toFixed(2)} km
+
+
+
Duration
+
${n.duration?ht(Math.floor(n.duration/1e3)):"\u2014"}
+
+
+
Avg Speed
+
${n.avgSpeed?(n.avgSpeed*3.6).toFixed(1):"\u2014"} km/h
+
+
+
Max Speed
+
${(n.maxSpeed*3.6).toFixed(1)} km/h
+
+ ${n.avgBattery!==null?`
+
Avg Battery
+
${n.avgBattery}%
+
`:""} +
+
+ +
+
infoFile Metadata
+
+
+
Original Filename
+
${pt(e.fileName||"\u2014")}
+
+
+
File Size
+
${e.fileSize?Ws(e.fileSize):"\u2014"}
+
+
+
Format
+
${e.format.toUpperCase()}
+
+
+
Sport
+
+ ${zs(e.sport)} + ${pt(Wt[e.sport?.toLowerCase()||""]?.name||"\u2014")} + expand_more + ${e.subSport?`(${pt(e.subSport)})`:""} +
+
+
+
Device / Creator
+
${e.device||"Unknown Device"}
+
+
+
Start Time
+
${o?Ns(o):"Unknown"}
+
+
+
+ +
+
sensorsSensor Info
+
+
+
Total Points
+
${e.points.length.toLocaleString("en-US")} pts
+
+
+
Telemetry Stability
+
${T}%
+
+
+
Sensors Found
+
+ ${n.sensors.length?n.sensors.map(p=>`${Hl[p]||"sensors"}`).join(""):'GPS only'} +
+
+
+
+ + ${n.avgHR||n.avgPower||n.avgCadence||n.avgTemp!=null?` +
+
monitoringBiometric Averages
+
+ ${n.avgHR?`
+
Avg HR
+
${n.avgHR} bpm
+
`:""} + ${n.maxHR?`
+
Max HR
+
${n.maxHR} bpm
+
`:""} + ${n.avgPower?`
+
Avg Power
+
${n.avgPower} W
+
`:""} + ${n.maxPower?`
+
Max Power
+
${n.maxPower} W
+
`:""} + ${n.avgCadence?`
+
Avg Cadence
+
${n.avgCadence} rpm
+
`:""} + ${n.avgTemp!=null?`
+
Avg Temp
+
${n.avgTemp.toFixed(1)} \xB0C
+
`:""} + ${n.minTemp!=null&&n.maxTemp!=null?`
+
Temp Range
+
${n.minTemp.toFixed(1)} \u2013 ${n.maxTemp.toFixed(1)} \xB0C
+
`:""} +
+
`:""} + + ${n.shifts!==null?` +
+
settingsDrivetrain
+
+
+
Total Shifts
+
${n.shifts}
+
+
+
`:""} + + ${e.devices&&e.devices.length>0?` +
+
watchHardware & Sensors
+
+ ${(()=>{let p=new Set;return e.devices.filter(h=>{if(!(h.name||h.product||h.manufacturer))return!1;let q=`${h.name}|${h.product}|${h.manufacturer}|${h.serial}`;return p.has(q)?!1:(p.add(q),!0)}).map(h=>{let F=h.name||h.product||"Unknown Device",q=h.manufacturer?`${h.manufacturer}`:"",J=[h.serial?`SN: ${h.serial}`:null,h.version?`v${h.version}`:null,h.hardwareVersion?`hw:${h.hardwareVersion}`:null].filter(Boolean).join(" \u2022 "),Y=[h.batteryLevel?`${h.batteryLevel}%`:null,h.batteryStatus?`Status: ${h.batteryStatus}`:null,h.batteryVoltage?`${h.batteryVoltage.toFixed(2)}V`:null].filter(Boolean).join(" \u2022 "),B="",z=String(h.sourceType||"").toLowerCase();z.includes("local")?B="memory":z.includes("antplus")||z.includes("ant_plus")?B="settings_input_antenna":z.includes("bluetooth")&&(B="bluetooth");let D="sensors",le=String(F).toLowerCase();return le.includes("heartrate")||le.includes("hrm")?D=De.hr.icon:le.includes("power")?D=De.power.icon:le.includes("speed")?D=De.speed.icon:le.includes("cadence")?D=De.cadence.icon:le.includes("barometer")?D="air":le.includes("temperature")?D=De.temperature.icon:le.includes("gps")&&(D="location_on"),` +
+
+
+ ${D} +
${pt(F)}
+ ${B?`${B}`:""} +
+
${q}
+
+ ${J?`
${pt(J)}
`:""} +
+
${pt(h.type||"device")}
+ ${Y?`
+ battery_charging_full + ${pt(Y)} +
`:""} +
+
+ `}).join("")})()} +
+
`:""} +
+
deleteDanger Zone
+
+ +
+
+
+ `;let b=document.getElementById("tag-container"),w=document.getElementById("new-tag-input"),R=document.getElementById("btn-add-tag"),S=()=>{b.innerHTML="";let p=e.tags||[];if(p.length===0){b.innerHTML='No tags added';return}p.forEach(h=>{let F=Qn(h),q=document.createElement("div");q.className="tag-pill font-s",q.style.cssText=` + background: ${F}15; + border: 1px solid ${F}44; + color: ${F}; + padding: 2px 8px; + border-radius: 4px; + font-weight: 600; + display: flex; + align-items: center; + gap: 6px; + `,q.innerHTML=` + ${pt(h)} + close + `,b.appendChild(q)}),b.querySelectorAll(".btn-remove-tag").forEach(h=>{h.addEventListener("click",async F=>{let q=F.currentTarget.dataset.tag;e.tags=(e.tags||[]).filter(J=>J!==q),await at.save(e),S(),hn()})})},k=async()=>{let p=w.value.trim().toLowerCase();if(!p)return;let h=new Set(e.tags||[]);if(h.has(p)){w.value="";return}h.add(p),e.tags=Array.from(h).sort(),await at.save(e),w.value="",S(),hn()};R.addEventListener("click",k),w.addEventListener("keydown",p=>{p.key==="Enter"&&k()});let M=t.querySelector("#details-title-input");M?.addEventListener("change",async()=>{let p=M.value.trim();p&&(e.displayName=p,await at.save(e),hn())});let g=document.getElementById("sport-dropdown-trigger");g?.addEventListener("click",p=>{p.stopPropagation(),I(g)});function I(p){if(!e)return;document.querySelectorAll(".metric-menu-popup").forEach(B=>B.remove());let h=document.createElement("div");h.className="metric-menu-popup",Object.keys(Wt).forEach(B=>{let z=Wt[B],D=document.createElement("div"),le=e.sport?.toLowerCase()===B;D.className=`menu-item ${le?"active":""}`,D.innerHTML=` + ${z.icon} + ${z.name} + ${le?"check":""} + `,D.addEventListener("click",async()=>{e.sport=B,await at.save(e),h.remove();let y=document.getElementById("sport-icon");y&&(y.textContent=z.icon);let d=document.getElementById("sport-name");d&&(d.textContent=z.name),hn()}),h.appendChild(D)});let F=document.createElement("div"),q=!e.sport;F.className=`menu-item ${q?"active":""}`,F.innerHTML=` + block + \u2014 + ${q?"check":""} + `,F.addEventListener("click",async()=>{e.sport=void 0,await at.save(e),h.remove();let B=document.getElementById("sport-icon");B&&(B.textContent="question_mark");let z=document.getElementById("sport-name");z&&(z.textContent="\u2014"),hn()}),h.appendChild(F),document.body.appendChild(h);let J=p.getBoundingClientRect();h.style.top=`${J.bottom+window.scrollY+4}px`,h.style.left=`${J.left+window.scrollX}px`;let Y=B=>{!h.contains(B.target)&&!p.contains(B.target)&&(h.remove(),document.removeEventListener("click",Y))};setTimeout(()=>document.addEventListener("click",Y),10)}S(),document.getElementById("btn-delete-track")?.addEventListener("click",()=>{confirm(`Remove "${e.name}"?`)&&qs(e.id)})}import zl from"uplot";var wt=[];function Ys(e){return wt.filter(s=>{if(s.points.length===0)return!1;for(let t of s.points){let n=!1;for(let o of e.points)if(tn(t.lat,t.lon,o.lat,o.lon)<=t.radius){n=!0;break}if(!n)return!1}return!0})}var vn=null,Hn=!1,bn=null,js=()=>{},_l=null;function Zs(e){js=e,Bl()}function Gs(){wt=[],vn=null,bn=null,Hn=!1;let e=document.getElementById("courses-view");e&&(e.innerHTML=` +
+ route +
No courses created yet
+
+ `)}function Xs(e){wt=[];for(let s=0;s0&&(vn=wt[0].id,bn=wt[0].id)}async function Bl(){try{let e=await at.get("courses");e&&(wt=e)}catch(e){console.error("Courses: Failed to load courses",e)}}async function fs(){try{await at.set("courses",wt)}catch(e){console.error("Courses: Failed to save courses",e),js("Failed to save courses","error")}}function Fl(e){let s=0;for(let t=0;t0){let p=n[I-1];if(P.ele!=null&&p.ele!=null){let h=P.ele-p.ele;h>0&&(M+=h)}}}let g=n.length>1?(n[n.length-1].dist||0)-(n[0].dist||0):0;return{duration:u,dist:g,avgWatts:m>0?Math.round(c/m):null,avgHR:b>0?Math.round(T/b):null,avgSpeed:R>0?w/R:null,avgCadence:k>0?Math.round(S/k):null,avgVam:u>0?Math.round(M/(u/3600)):null}}function Dl(e){let s=Math.floor(e/3600),t=Math.floor(e%3600/60),n=Math.floor(e%60);return s>0?`${s}:${t.toString().padStart(2,"0")}:${n.toString().padStart(2,"0")}`:`${t}:${n.toString().padStart(2,"0")}`}function hs(){return` + calendar_today Date + straighten Distance + timer Duration + speed Speed + speed Pace + trending_up VAM + bolt Power + favorite HR + `}function bs(e,s,t){let o=(s?Wt[s.toLowerCase()]:null)?.paceUnit||"km",r="--";if(e.avgSpeed!=null&&e.avgSpeed>.1){let u=(o==="km"?1e3:100)/e.avgSpeed;r=`${An(u)} min/${o}`}return` + ${t} + ${e.dist!=null?`${(e.dist/1e3).toFixed(2)} km`:"-"} + ${Dl(e.duration)} + ${e.avgSpeed!=null?`${(e.avgSpeed*3.6).toFixed(1)} km/h`:"-"} + ${r} + ${e.avgVam!=null?`${e.avgVam} m/h`:"-"} + ${e.avgWatts!=null?`${e.avgWatts} W`:"-"} + ${e.avgHR!=null?`${e.avgHR} bpm`:"-"} + `}function Dt(){let e=document.getElementById("courses-view");if(!e)return;let s=0;for(let t of wt){if(t.points.length<2)continue;let n=_e.findTracksPassingThroughPoints(t.points.map(u=>({lat:u.lat,lng:u.lon})),t.points[0]?.radius||20),o=3,r=[];for(let u=0;u +
+
+
+ ${Hn?` + + `:` + + `} +
+ +
+
+ ${wt.length===0?` +
+ route +
No courses created yet
+
+ `:wt.map(t=>{let n=t.points.map(c=>({lat:c.lat,lng:c.lon})),o=_e.findTracksPassingThroughPoints(n,t.points[0]?.radius||20),r=t.id===bn,u="";if(r){let c=o.map(m=>{let T=_e.getTrackData(m);if(!T)return null;let b=Kn(T,t.points);if(!b)return null;let w=gs(T,b.startIdx,b.endIdx),R=T.stats?.startTime||T.points?.[0]?.time,S=R?Zt(R):"-";return{id:m,displayName:T.displayName||T.name||m,date:S,sport:T.sport,color:T.color,...w,startIdx:b.startIdx,endIdx:b.endIdx}}).filter(m=>m!==null);c.sort((m,T)=>m.duration-T.duration||m.id.localeCompare(T.id)),u=` +
+ ${c.length===0?` +
No matching tracks
+ `:` + + + + + ${hs()} + + + + ${c.map(m=>` + + + ${bs(m,m.sport,m.date)} + + `).join("")} + +
Track (${c.length})
+
+
+ ${pt(m.displayName)} +
+
+ `} +
+ `}return` +
+
+ ${r?"expand_more":"chevron_right"} +
${pt(t.name)} edit
+
straighten ${Fl(t).toFixed(2)} km | ${t.points.length} points | ${o.length} matching tracks
+
+ + +
+
+ ${u} +
+ `}).join("")} +
+
+ `,document.getElementById("btn-new-course")?.addEventListener("click",()=>{Rl()}),document.getElementById("btn-done-edit")?.addEventListener("click",()=>{Hn=!1,_e.setCustomClickHandler(null),document.getElementById("map-container")?.classList.remove("editing-mode"),Dt()}),e.querySelectorAll(".course-item").forEach(t=>{let n=t.dataset.id;t.querySelector(".btn-edit-course")?.addEventListener("click",o=>{o.stopPropagation(),Js(n)}),t.querySelector(".btn-rename-course")?.addEventListener("click",o=>{o.stopPropagation(),Nl(n)}),t.querySelector(".btn-delete-course")?.addEventListener("click",o=>{o.stopPropagation(),Wl(n)}),t.querySelector(".course-item-header")?.addEventListener("click",o=>{o.target.closest(".course-actions")||o.target.closest(".btn-rename-course")||(_n(n),bn=bn===n?null:n,Dt())}),t.querySelectorAll(".course-track-row").forEach(o=>{let r=o.dataset.trackId,u=parseInt(o.dataset.start,10),c=parseInt(o.dataset.end,10);o.querySelector(".track-name-cell")?.addEventListener("click",m=>{m.stopPropagation();let T=_e.getTrackData(r);T&&(Mt(r,!1),setTimeout(()=>{let b=T.points,w=b.find(p=>p.time!=null)?.time||0,R=Math.max(0,Math.min(u,b.length-1)),S=Math.max(0,Math.min(c,b.length-1)),k=Math.max(0,((b[R]?.time||0)-w)/1e3),M=Math.max(0,((b[S]?.time||0)-w)/1e3),g=Me.getXAxis(),I=k,P=M;g==="distance"&&(I=Math.max(0,(b[R]?.dist||0)/1e3),P=Math.max(0,(b[S]?.dist||0)/1e3)),Ye.patch({sel:[I,P],tab:"graphs"},!0),Me.restoreSelection(k,M),_e.highlightSegment(r,T.points,u,c,!0)},50))}),o.addEventListener("mouseenter",()=>{_e.setTrackHover(r,!0)}),o.addEventListener("mouseleave",()=>{_e.setTrackHover(r,!1)})})})}function Rl(){let e=`Course ${wt.length+1}`,s={id:Math.random().toString(36).substring(2,9),name:e,points:[]};wt.push(s),fs(),Dt(),Js(s.id)}function Nl(e){let s=wt.find(c=>c.id===e);if(!s)return;let t=document.querySelector(`.course-item[data-id="${e}"]`);if(!t)return;let n=t.querySelector(".course-name");if(!n)return;let o=s.name;n.innerHTML=``;let r=n.querySelector(".course-name-input");r.focus(),r.select();let u=()=>{let c=r.value.trim();c!==""&&(s.name=c,fs()),Dt()};r.addEventListener("blur",u),r.addEventListener("keydown",c=>{c.key==="Enter"?u():c.key==="Escape"&&Dt()})}function Js(e){vn=e,Hn=!0,Dt()}function Qs(){_l=null}function _n(e,s=!1){vn=e,s&&(bn=e),Hn=!1,_e.setCustomClickHandler(null),Qs(),Dt()}function Wl(e){confirm("Are you sure you want to delete this course?")&&(wt=wt.filter(s=>s.id!==e),vn===e&&(vn=null,Qs()),fs(),Dt())}var es=()=>{},vs=[];function el(){vs.forEach(e=>e.destroy()),vs=[]}function tl(e){es=e}function nl(){el(),document.querySelectorAll(".hr-settings-popup").forEach(s=>s.remove());let e=document.getElementById("insights-view");e&&(e.innerHTML=` +
+ no_sim +
Select a track for insights
+
+ `)}function Bt(e){el();let s=document.getElementById("insights-view");if(!s)return;if(!e){s.innerHTML="";return}let t=e.stats;if(it.ensureCurvesAndZones(e),!t.powerCurve&&!t.hrZones&&!t.hrCurve){s.innerHTML=` +
+ analytics +
No insights available for this track (requires Power or Heart Rate data)
+
+ `;return}let n=e.points,o=it.getFTP(),r=[180,240,300,360,420,480,540,600,720,900],u=2e4;for(let S=0;S<8;S++)for(let k=0;k>1;for(let F=0;Fo?I-=q-o:I=2e4-(2e4-I)*g,I + `;let c=document.getElementById("insights-grid");if(!c)return;let m=Math.round(c.getBoundingClientRect().width-42)||480;if(t.powerCurve&&Ks({grid:c,track:e,curve:t.powerCurve,metricKey:"power",label:"Power Curve",unit:"W",color:De.power.color,icon:"bolt",chartWidth:m}),t.hrCurve&&Ks({grid:c,track:e,curve:t.hrCurve,metricKey:"hr",label:"Heart Rate Curve",unit:"bpm",color:De.hr.color,icon:"favorite",chartWidth:m}),t.powerZones){let S=document.createElement("div");S.className="insight-card";let k="power",M=De.power.color;S.style.setProperty("--chart-color",M);let g=Me.getMapColorMetric()===k,I=t.powerZones.reduce((h,F)=>h+F,0),P=gn.getPowerZones(),p="";t.powerZones.forEach((h,F)=>{if(F>=P.length)return;let q=P[F],J=I>0?h/I*100:0,Y=isFinite(q.max)?`${Math.round(q.min)} - ${Math.round(q.max)} W`:`> ${Math.round(q.min)} W`;p+=` +
+
+ Z${F+1} + ${q.name} + ${Y} + ${ht(Math.round(h))} + ${J.toFixed(1)}% +
+
+
+
+
+ `}),S.innerHTML=` +
+
+
+ boltPower Zones +
+ +
+ +
+
${p}
+ `,c.appendChild(S),S.querySelector(".map-color-btn")?.addEventListener("click",h=>{h.stopPropagation(),Me.toggleMapColor(k);let F=Me.getMapColorMetric();c.querySelectorAll(".map-color-btn").forEach(q=>{let J=q;J.classList.toggle("active",J.dataset.metric===F)})}),S.querySelector(".btn-pw-settings")?.addEventListener("click",h=>{h.stopPropagation(),ql(h.currentTarget,e)})}if(t.hrZones){let S=document.createElement("div");S.className="insight-card";let k="hr",M=De.hr.color;S.style.setProperty("--chart-color",M);let g=Me.getMapColorMetric()===k,I=t.hrZones.reduce((h,F)=>h+F,0),P=gn.getHRZones(),p="";t.hrZones.forEach((h,F)=>{if(F>=P.length)return;let q=P[F],J=I>0?h/I*100:0,Y=isFinite(q.max)?`${Math.round(q.min)} - ${Math.round(q.max)} bpm`:`> ${Math.round(q.min)} bpm`;p+=` +
+
+ Z${F+1} + ${q.name} + ${Y} + ${ht(Math.round(h))} + ${J.toFixed(1)}% +
+
+
+
+
+ `}),S.innerHTML=` +
+
+
+ favoriteHeart Rate Zones +
+ +
+ +
+
${p}
+ `,c.appendChild(S),S.querySelector(".map-color-btn")?.addEventListener("click",h=>{h.stopPropagation(),Me.toggleMapColor(k);let F=Me.getMapColorMetric();c.querySelectorAll(".map-color-btn").forEach(q=>{let J=q;J.classList.toggle("active",J.dataset.metric===F)})}),S.querySelector(".btn-hr-settings")?.addEventListener("click",h=>{h.stopPropagation(),Ul(h.currentTarget,e)})}let T=document.createElement("div");T.className="insight-card";let b=t.totalDist/1e3,w=b>0?t.elevGain/(b*1e3)*100:0;if(T.innerHTML=` +
+ terrainClimbing Analysis +
+
+
+
Total Ascent
+
${Math.round(t.elevGain)} m
+
+
+
Total Descent
+
${Math.round(t.elevLoss)} m
+
+
+
Avg Grade
+
${w.toFixed(1)} %
+
+
+
VAM
+
${t.duration&&t.duration>0?Math.round(t.elevGain/t.duration*36e5):0} m/h
+
+
+ `,c.appendChild(T),t.avgPower&&t.avgHR){let S=document.createElement("div");S.className="insight-card";let k=t.avgPower/t.avgHR;S.innerHTML=` +
+ monitoringEfficiency Factor +
+
+
+
EF (Avg Power / Avg HR)
+
${k.toFixed(2)}
+
Higher values indicate better aerobic fitness.
+
+
+ `,c.appendChild(S)}let R=Ys(e);if(R.length>0){let S=document.createElement("div");S.className="insight-card",S.style.cssText="column-span: all; display: block;",S.innerHTML=` +
routeCourses (${R.length})
+
+ + + + + ${hs()} + + + + ${R.map(k=>{let M=Kn(e,k.points),g="";if(M){let I=gs(e,M.startIdx,M.endIdx),P=e.stats?.startTime||e.points?.[0]?.time,p=P?Zt(P):"-";g=bs(I,e.sport||null,p)}else g='';return` + + + ${g} + + `}).join("")} + +
Name
No continuous segment
+
+
+ ${pt(k.name)} +
+
+
+ `,c.appendChild(S),S.querySelectorAll(".clickable-course").forEach(k=>{k.addEventListener("click",()=>{let M=k.dataset.id;_n(M,!0),Ye.patch({tab:"courses"},!0)}),k.addEventListener("mouseenter",()=>{let M=k.dataset.id,g=R.find(I=>I.id===M);if(g){let I=Kn(e,g.points);I&&_e.highlightSegment(e.id,e.points,I.startIdx,I.endIdx,!1)}}),k.addEventListener("mouseleave",()=>{_e.clearHighlight()})})}}function Ks(e){let{grid:s,track:t,curve:n,metricKey:o,label:r,unit:u,color:c,icon:m,chartWidth:T}=e,b=Me.getMapColorMetric()===o,w=document.createElement("div");w.className="insight-card",w.style.setProperty("--chart-color",c),w.innerHTML=` +
+
+
+ ${m}${r} +
+ +
+ +
+
+ + `,s.appendChild(w);let R=w.querySelector(".curve-table-wrap"),S=w.querySelector(".btn-toggle-table"),k=S.querySelector(".material-symbols-rounded");S.addEventListener("click",()=>{let p=R.style.display==="none";R.style.display=p?"block":"none",k.textContent=p?"expand_less":"expand_more"});let M=w.querySelector(".map-color-btn");M.addEventListener("click",p=>{p.stopPropagation();let h=M.dataset.metric;Me.toggleMapColor(h);let F=Me.getMapColorMetric();s.querySelectorAll(".map-color-btn").forEach(q=>{let J=q;J.classList.toggle("active",J.dataset.metric===F)})});let g=w.querySelector(".curve-tbody"),I=Object.keys(n).map(Number).sort((p,h)=>p-h);I.forEach(p=>{let h=n[p],F=h.power||h.hr||h.val,q=document.createElement("tr");q.innerHTML=` + ${Ft(p)} + ${F} ${u} + + + + `,g?.appendChild(q)}),g?.querySelectorAll(".btn-show-peak").forEach(p=>{p.addEventListener("click",h=>{let F=h.currentTarget,q=parseInt(F.dataset.idx),J=parseInt(F.dataset.len),Y=t.points,B=Math.min(Y.length-1,q+J-1),z=Y[0].time||0,D=((Y[q].time||z)-z)/1e3,le=((Y[B].time||z)-z)/1e3;Ye.patch({sel:[D,le]}),_e.highlightSegment(t.id,Y,q,B,!0)})});let P=w.querySelector(`#${o}-curve-chart`);if(P){let p=I,h=I.map(Y=>n[Y].power||n[Y].hr||n[Y].val),F=document.createElement("div");F.className="cur-y-val",F.style.cssText=`color:${c};display:none;border-color:${c}44`,P.style.position="relative",P.appendChild(F);let q={id:`${o}-curve`,width:0,height:250,padding:[10,10,0,10],scales:{x:{time:!1,distr:3,auto:!0},y:{auto:!0}},series:[{},{label:r,stroke:c,width:2,fill:tt(c,.1),points:{show:!0,size:5,fill:c}}],axes:[{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},show:!0,values:()=>[],ticks:{show:!1},font:"10px system-ui, sans-serif",size:30},{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},values:(Y,B)=>B.map(z=>`${z}${u}`),font:"10px system-ui, sans-serif",size:50}],cursor:{drag:{x:!1,y:!1},dataIdx:(Y,B,z)=>z},hooks:{draw:[Y=>{let B=Y.ctx,z=window.devicePixelRatio||1,D=Y.bbox,le=[1,2,5,10,20,30,60,120,300,600,1200,1800,3600,7200,10800],y=p[p.length-1];B.save(),B.fillStyle="#555564",B.textAlign="center",B.textBaseline="top",B.font=`${10*z}px system-ui, sans-serif`;let d=-100;le.forEach(a=>{if(a>y)return;let G=Y.valToPos(a,"x",!0);G>d+30*z&&G{Y.over.addEventListener("click",()=>{let B=Y.cursor.idx;if(B!=null&&p[B]!=null){let z=p[B],le=n[z].idx,y=t.points,d=Math.min(y.length-1,le+z-1),a=y[0].time||0,G=((y[le].time||a)-a)/1e3,X=((y[d].time||a)-a)/1e3;Ye.patch({sel:[G,X]}),_e.highlightSegment(t.id,y,le,d,!0)}})}],setCursor:[Y=>{if(!Y._ready)return;Y.redraw(!1);let B=Y.cursor.idx,z=Y.ctx,D=window.devicePixelRatio||1,le=Y.bbox,y=B!=null&&h[B]!=null&&Y.cursor.left>=0,d=Y.cursor.top,a=Y.valToPos(h[B],"y",!1);if(y&&Math.abs(d-a)<40){let X=Y.valToPos(p[B],"x",!1),se=Y.valToPos(h[B],"y",!1),U=p[B];F.innerHTML=`${Ft(U)}: ${h[B]} ${u}`,F.style.transform=`translate(${X}px, ${se}px) translate(15px, 15px)`,F.style.display="";let ne=Y.valToPos(p[B],"x",!0),Le=Y.valToPos(h[B],"y",!0);z.save(),z.beginPath(),z.setLineDash([2*D,2*D]),z.strokeStyle=tt(c,.4),z.lineWidth=1*D,z.moveTo(ne,le.top),z.lineTo(ne,le.top+le.height),z.stroke(),z.beginPath(),z.setLineDash([]),z.arc(ne,Le,3*D,0,Math.PI*2),z.fillStyle="#0e0e10",z.fill(),z.strokeStyle=c,z.lineWidth=2*D,z.stroke(),z.restore()}else F.style.display="none"}]},legend:{show:!1}};q.width=T||Math.round(s.getBoundingClientRect().width-42)||P.clientWidth||500;let J=new zl(q,[p,h],P);J._ready=!0,vs.push(J)}}function Ul(e,s){document.querySelectorAll(".hr-settings-popup").forEach(u=>u.remove());let t=document.createElement("div");t.className="hr-settings-popup";let n=it.getHRZones();t.innerHTML=` +
Configure HR Zones (bpm)
+
+
+ Z1 / Z2 + +
+
+ Z2 / Z3 + +
+
+ Z3 / Z4 + +
+
+ Z4 / Z5 + +
+ +
+ `;let o=e.getBoundingClientRect();t.style.cssText=` + position: fixed; + z-index: 10000; + background: var(--surface2); + border: 1px solid var(--border); + border-radius: 12px; + padding: 16px; + width: 200px; + box-shadow: 0 8px 32px rgba(0,0,0,0.6); + left: ${o.right-200}px; + top: ${o.bottom+8}px; + `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let u=t.querySelectorAll(".hr-zone-input"),c=Array.from(u).map(m=>parseInt(m.value)||0);for(let m=1;m{!t.contains(u.target)&&!e.contains(u.target)&&(t.remove(),document.removeEventListener("click",r))};setTimeout(()=>document.addEventListener("click",r),10)}function ql(e,s){document.querySelectorAll(".pw-settings-popup").forEach(u=>u.remove());let t=document.createElement("div");t.className="pw-settings-popup";let n=it.getFTP();t.innerHTML=` +
Configure FTP (Watts)
+
+
+ Your FTP + +
+ +
+ `;let o=e.getBoundingClientRect();t.style.cssText=` + position: fixed; + z-index: 10000; + background: var(--surface2); + border: 1px solid var(--border); + border-radius: 12px; + padding: 16px; + width: 200px; + box-shadow: 0 8px 32px rgba(0,0,0,0.6); + left: ${o.right-200}px; + top: ${o.bottom+8}px; + `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let u=t.querySelector("#ftp-input"),c=parseInt(u.value)||200;it.setFTP(c),await at.set("ftp",c),s.stats=it.computeStats(s.points,!0),await at.save(s),Bt(s),t.remove(),es(`FTP updated to ${c}W`)});let r=u=>{!t.contains(u.target)&&!e.contains(u.target)&&(t.remove(),document.removeEventListener("click",r))};setTimeout(()=>document.addEventListener("click",r),10)}import sl from"uplot";var Ct=[],zt=null,ft=null,an="power",Gt="hr",bt=null,Lt=[],Vt=[],nn=null,Pt=!1;function ts(){let e=document.getElementById("combined-time-val");if(e&&bt!==null&&Lt[bt]){let s=Lt[bt][2];e.textContent=`${ht(s)}`}}function ol(){nn&&(clearInterval(nn),nn=null),ft&&(ft.destroy(),ft=null),Ct=[],zt=null,an="power",Gt="hr",bt=null,Lt=[],Vt=[],Pt=!1;let e=document.getElementById("combined-tooltip");e&&e.remove();let s=document.getElementById("combined-view");s&&(s.innerHTML=` +
+ no_sim +
Select a track for combined analysis
+
+ `)}function rn(e){Array.isArray(e)?(Ct=e,zt=e[0]||null):e?(Ct=[e],zt=e):(Ct=[],zt=null);let s=document.getElementById("combined-view");if(!s)return;let t=zt;if(!t){s.innerHTML=` +
+ no_sim +
Select a track for combined analysis
+
+ `;return}let n=Me.METRICS,o=[];for(let S in n){let k=n[S];t.points.some(M=>M[k.field]!=null)&&o.push(S)}!o.includes(an)&&o.length>0&&(an=o[0]),!o.includes(Gt)&&o.length>1?Gt=o[1]:!o.includes(Gt)&&o.length>0&&(Gt=o[0]);let r=n[an],u=n[Gt];s.style.overflow="hidden";let c="";if(Ct.length>=2){let S=0,k=0,M=[2,3,5,8,10,12,15,20,25,30,40,45,60,75,90,120,150,180,240,300];for(let ne=0;ne<4;ne++)for(let Le of M)for(let Re=0;Re=Le){let de=ae[re-Le],$e=pe[re-Le];He-=(de.power||0)+(de.hr||0)+(de.speed||0),Q-=($e.power||0)+($e.hr||0)+($e.speed||0),_-=(de.cad||0)+(de.ele||0)*.1,oe-=($e.cad||0)+($e.ele||0)*.1,k+=He/Le*(Q/Le)+_/Le*(oe/Le),S++}}}let g=Ct[0],I=Ct[1],P=g.stats,p=I.stats,h=((p.totalDist-P.totalDist)/1e3).toFixed(2),F=((p.avgPower||0)-(P.avgPower||0)).toFixed(0),q=((p.avgHR||0)-(P.avgHR||0)).toFixed(0),J=(p.elevGain-P.elevGain).toFixed(0),Y=(p.shifts||0)-(P.shifts||0),B=((P.totalDist+p.totalDist)/1e3).toFixed(2),z=(P.elevGain+p.elevGain).toFixed(0),D=((P.duration||0)+(p.duration||0))/1e3,le=Math.round(((P.avgPower||0)+(p.avgPower||0))/2),y=Math.max(P.maxPower||0,p.maxPower||0),d=Math.round(((P.avgHR||0)+(p.avgHR||0))/2),a=Math.max(P.maxHR||0,p.maxHR||0),G=((p.avgTemp??0)-(P.avgTemp??0)).toFixed(1),X=(((P.avgTemp??0)+(p.avgTemp??0))/2).toFixed(1),se=Math.max(P.maxTemp??0,p.maxTemp??0).toFixed(1),U=(P.shifts||0)+(p.shifts||0);c=` +
+
Aggregate Track Comparison & Analysis
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Metric${g.displayName||g.name} (T1)${I.displayName||I.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(P.totalDist/1e3).toFixed(2)} km${(p.totalDist/1e3).toFixed(2)} km${Number(h)>=0?"+":""}${h} km${B} km (Total)
Elevation Gain${P.elevGain.toFixed(0)} m${p.elevGain.toFixed(0)} m${Number(J)>=0?"+":""}${J} m${z} m (Total)
Duration${P.duration?ht(P.duration/1e3):"--"}${p.duration?ht(p.duration/1e3):"--"}--${ht(D)} (Total)
Avg / Max Power${P.avgPower||0} W / ${P.maxPower||0} W${p.avgPower||0} W / ${p.maxPower||0} W${Number(F)>=0?"+":""}${F} W (Avg)${le} W (Avg) / ${y} W (Max)
Avg / Max HR${P.avgHR||0} bpm / ${P.maxHR||0} bpm${p.avgHR||0} bpm / ${p.maxHR||0} bpm${Number(q)>=0?"+":""}${q} bpm (Avg)${d} bpm (Avg) / ${a} bpm (Max)
Avg / Max Temp${P.avgTemp!=null?P.avgTemp.toFixed(1):"--"} \xB0C / ${P.maxTemp!=null?P.maxTemp.toFixed(1):"--"} \xB0C${p.avgTemp!=null?p.avgTemp.toFixed(1):"--"} \xB0C / ${p.maxTemp!=null?p.maxTemp.toFixed(1):"--"} \xB0C${Number(G)>=0?"+":""}${G} \xB0C (Avg)${X} \xB0C (Avg) / ${se} \xB0C (Max)
Gear Shifts${P.shifts||0}${p.shifts||0}${Y>=0?"+":""}${Y}${U} (Total)
+
+ `}s.innerHTML=`${c} +
+
+ arrow_forward + X Axis: + +
+
+ arrow_upward + Y Axis: + +
+
+ schedule + Time: + + 0:00 + +
+
+ + +
+
+
+ `,document.getElementById("btn-combined-x")?.addEventListener("click",S=>{S.stopPropagation(),ll(S.currentTarget,"x")}),document.getElementById("btn-combined-y")?.addEventListener("click",S=>{S.stopPropagation(),ll(S.currentTarget,"y")});let m=document.getElementById("combined-time-slider"),T=document.getElementById("combined-time-val"),b=document.getElementById("btn-combined-play");m?.addEventListener("input",()=>{bt=parseInt(m.value,10),ts(),ft&&ft.redraw()});function w(){b&&(b.innerHTML='pause'),nn=window.setInterval(()=>{bt!==null&&btplay_arrow')}b?.addEventListener("click",()=>{nn?R():(bt!==null&&bt>=Lt.length-1&&(bt=0,m.value="0",ts(),ft&&ft.redraw()),w())}),document.getElementById("btn-combined-cart")?.addEventListener("click",()=>{Pt&&(Pt=!1,rn(zt))}),document.getElementById("btn-combined-polar")?.addEventListener("click",()=>{Pt||(Pt=!0,rn(zt))}),Vl()}function yn(){let e=document.getElementById("tab-combined"),s=document.getElementById("combined-plot-container");if(ft&&s&&s.clientWidth>0){let t=s.clientWidth,n=s.clientHeight;if(t>0&&n>0)if(Pt){let o=Math.min(t,n);ft.setSize({width:o,height:o})}else ft.setSize({width:t,height:n})}}function ll(e,s){document.querySelectorAll(".metric-menu-popup").forEach(m=>m.remove());let t=document.createElement("div");t.className="metric-menu-popup";let n=Me.METRICS,o=zt;if(!o)return;let r=[];for(let m in n){let T=n[m];o.points.some(b=>b[T.field]!=null)&&r.push(m)}r.forEach(m=>{let T=n[m],b=document.createElement("div"),w=s==="x"?an:Gt;b.className=`menu-item ${w===m?"active":""}`,b.innerHTML=` + ${T.icon} + ${T.label} + ${w===m?"check":""} + `,b.addEventListener("click",()=>{s==="x"?an=m:Gt=m,t.remove(),rn(zt)}),t.appendChild(b)});let u=e.getBoundingClientRect();t.style.top=`${u.bottom+5}px`,t.style.left=`${u.left}px`,document.body.appendChild(t);let c=m=>{!t.contains(m.target)&&!e.contains(m.target)&&(t.remove(),document.removeEventListener("click",c))};setTimeout(()=>document.addEventListener("click",c),0)}function Vl(){if(!zt)return;let e=document.getElementById("combined-plot-container");if(!e)return;let s=Me.METRICS,t=s[an]||s.power,n=s[Gt]||s.hr;if(Ct.length>=2){let k=Ct[0],M=Ct[1],g=k.points,I=M.points,P=Math.max(g.length,I.length),p=[],h=[],F=[];for(let B=0;B0?e.clientWidth:800,J=e.clientHeight>0?e.clientHeight:350,Y={width:q,height:J,padding:[10,15,0,0],scales:{x:{time:!1},y:{auto:!0}},series:[{},{label:`${k.displayName||k.name} (${n.label})`,stroke:k.color||"#3b82f6",width:2,points:{show:!1}},{label:`${M.displayName||M.name} (${n.label})`,stroke:M.color||"#FF6B35",width:2,points:{show:!1}}],axes:[{side:2,label:"Elapsed Duration (s)",stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",size:30},{side:3,label:`${n.label} (${n.unit})`,stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",size:40}],legend:{show:!0}};ft=new sl(Y,[p,h,F],e),yn();return}let o=zt.points,r=o[0].time||0,u=o.map((k,M)=>[k[t.field],k[n.field],(k.time-r)/1e3,(k.dist||0)/1e3,M]).filter(([k,M,g,I])=>k!=null&&M!=null);if(u.length===0){e.innerHTML='
No data for selected metrics
';return}if(Pt){let k=u.map(h=>h[0]),M=u.map(h=>h[1]),g=Math.min(...k),I=Math.max(...k),P=Math.min(...M),p=Math.max(...M);Lt=u.map(h=>{let F=h[0],q=h[1],J=(F-g)/(I-g||1)*2*Math.PI,Y=(q-P)/(p-P||1),B=Y*Math.cos(J),z=Y*Math.sin(J);return[B,z,h[2],h[3],h[4],F,q]})}else Lt=u.map(k=>[k[0],k[1],k[2],k[3],k[4],k[0],k[1]]);let c=document.getElementById("combined-time-slider");c&&(c.max=`${u.length-1}`,(bt===null||bt>=u.length)&&(bt=u.length-1,c.value=c.max),ts()),Vt=[...Lt].sort((k,M)=>k[0]-M[0]||k[4]-M[4]);let m=Vt.map(k=>k[0]),T=Vt.map(k=>k[1]),b=document.getElementById("combined-plot-container"),w=b&&b.clientWidth>0?b.clientWidth:600,R=b&&b.clientHeight>0?b.clientHeight:400;if(Pt){let k=Math.min(w,R>0?R:w);w=k,R=k,b&&(b.style.display="flex",b.style.alignItems="center",b.style.justifyContent="center")}else b&&(b.style.display="",b.style.alignItems="",b.style.justifyContent="");let S={width:w,height:R,padding:[10,15,0,0],scales:{x:{time:!1,auto:!0},y:{auto:!0}},series:[{},{label:n.label,width:0,points:{show:!0,size:3,fill:tt(n.color,.3)}}],axes:[{side:2,show:!Pt,label:`${t.label} (${t.unit})`,stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",values:(k,M)=>M.map(g=>g!=null?t.fmtAxis(g):""),size:30},{side:3,show:!Pt,label:`${n.label} (${n.unit})`,stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",values:(k,M)=>M.map(g=>g!=null?n.fmtAxis(g):""),size:40}],cursor:{drag:{x:!1,y:!1},dataIdx:(k,M,g)=>{let I=k.cursor.left,P=k.cursor.top;if(I!=null&&P!=null&&I>=0&&P>=0){let p=1/0,h=-1;for(let F=0;F=0&&p<2500)return h}return g},points:{size:7,stroke:"#fff",width:2,fill:n.color}},legend:{show:!1},hooks:{draw:[k=>{let M=k.ctx,g=window.devicePixelRatio||1;M.save(),M.beginPath(),M.strokeStyle="rgba(255, 255, 255, 0.15)",M.lineWidth=1*g;let I=!1;for(let P=0;P{let M=k.cursor.idx,g=document.getElementById("combined-tooltip");if(g||(g=document.createElement("div"),g.id="combined-tooltip",g.style.position="absolute",g.style.background="rgba(14, 14, 16, 0.9)",g.style.color="#fff",g.style.padding="8px 12px",g.style.borderRadius="4px",g.classList.add("font-m"),g.style.fontFamily="system-ui",g.style.pointerEvents="none",g.style.zIndex="1000",g.style.boxShadow="0 4px 6px rgba(0,0,0,0.3)",g.style.border="1px solid #2e2e34",document.body.appendChild(g)),M!=null&&Vt[M]&&k.cursor.left>=0){let I=Vt[M],P=I[2],p=I[3],h=I[5],F=I[6];g.innerHTML=` +
Point #${M}
+
+ Time: + ${ht(P)} +
+
+ Distance: + ${p.toFixed(2)} km +
+
+ ${t.label}: + ${t.fmtAxis(h)} ${t.unit} +
+
+ ${n.label}: + ${n.fmtAxis(F)} ${n.unit} +
+ `,g.style.display="block";let q=k.over.getBoundingClientRect();g.style.left=`${q.left+window.scrollX+k.cursor.left+15}px`,g.style.top=`${q.top+window.scrollY+k.cursor.top+15}px`}else g.style.display="none"}]}};e.querySelector(".empty-text")&&(e.innerHTML=""),ft&&ft.destroy(),ft=new sl(S,[m,T],e),ft.over.addEventListener("click",()=>{if(ft){let k=ft.cursor.idx;if(k!=null&&Vt[k]){let M=Vt[k][4];Me.setCursorAt(M)}}}),yn()}import xn from"uplot";function il(e,s){let t=0;for(let F=0;Ft&&(t=q)}t||(t=Date.UTC(2026,7,1));let n=new Date(t),o=n.getUTCFullYear(),r=Date.UTC(o-1,n.getUTCMonth(),n.getUTCDate(),n.getUTCHours(),n.getUTCMinutes(),n.getUTCSeconds()),u=Date.UTC(o,n.getUTCMonth()-6,n.getUTCDate(),n.getUTCHours(),n.getUTCMinutes(),n.getUTCSeconds()),c=Date.UTC(o,n.getUTCMonth()-1,n.getUTCDate(),n.getUTCHours(),n.getUTCMinutes(),n.getUTCSeconds()),m=0,T=0,b=0,w=0,R=0,S=t;e.forEach(F=>{if(!F.stats.startTime)return;let q=s(F);if(q===void 0)return;R+=q;let J=F.stats.startTime;J=r&&(T+=q),J>=u&&(b+=q),J>=c&&(w+=q)});let k=7*24*60*60*1e3,M=Date.UTC(o,0,1),g=Math.max(.1,(t-M)/k),I=Math.max(.1,(t-r)/k),P=Math.max(.1,(t-u)/k),p=Math.max(.1,(t-c)/k),h=Math.max(.1,(t-S)/k);return{currentYear:m,pastYear:T,past6m:b,past1m:w,total:R,currentYearAvg:m/g,pastYearAvg:T/I,past6mAvg:b/P,past1mAvg:w/p,totalAvg:R/h}}function al(e,s,t){let n=s?1e3:1,o=r=>(s?r/n:r).toLocaleString("en-US",{minimumFractionDigits:s?1:0,maximumFractionDigits:s?1:0});return` + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Period${s?"Distance":"Elevation"}${s?"Distance/Week":"Elevation/Week"}
Current Year${o(e.currentYear)} ${t}${o(e.currentYearAvg)} ${t}
Past Year${o(e.pastYear)} ${t}${o(e.pastYearAvg)} ${t}
Past 6 Months${o(e.past6m)} ${t}${o(e.past6mAvg)} ${t}
Past 1 Month${o(e.past1m)} ${t}${o(e.past1mAvg)} ${t}
Total${o(e.total)} ${t}${o(e.totalAvg)} ${t}
+ `}var wn=[];function dl(){wn.forEach(e=>e.destroy()),wn=[]}function ul(){dl();let e=document.getElementById("evolution-view");e&&(e.innerHTML=` +
+ no_sim +
Select a track for progress analysis
+
+ `)}function Tn(e,s,t,n){dl();let o=document.getElementById("evolution-view");if(!o)return;let r=Ye.get().progress||"all";s.forEach(h=>{it.ensureCurvesAndZones(h)});let u=0,c=0,m=2/8,T=2/43;s.forEach(h=>{let F=h.points||[],q=0,J=0;for(let Y=0;Y +
+
+ + + + +
+
+
+
+ + + + + + +
+
+ +
+ `;let w=document.getElementById("evolution-container");if(!w)return;let R=w.clientWidth||570,S=xn.sync("progress-sync");b.push(cl(w,s,"distance",S,n,R)),b.push(cl(w,s,"elevation",S,n,R));let k=w.querySelector(".distance-progress-card .chart-scroll-container"),M=w.querySelector(".elevation-progress-card .chart-scroll-container");k&&M&&(k.addEventListener("scroll",()=>{M.scrollLeft!==k.scrollLeft&&(M.scrollLeft=k.scrollLeft)}),M.addEventListener("scroll",()=>{k.scrollLeft!==M.scrollLeft&&(k.scrollLeft=M.scrollLeft)}));let g=o.querySelector("#evolution-time-range");g&&g.querySelectorAll(".seg-btn").forEach(h=>{h.addEventListener("click",()=>{let F=h.getAttribute("data-range");F&&(g.querySelectorAll(".seg-btn").forEach(q=>q.classList.remove("active")),h.classList.add("active"),p(F))})}),o.querySelectorAll(".metric-pill").forEach(h=>{h.addEventListener("click",()=>{let F=h.getAttribute("data-target");F&&document.getElementById(`${F}-evolution-card`)?.scrollIntoView({behavior:"smooth"})})});function P(h){b.forEach(F=>{F&&F.updatePin&&F.updatePin(h)})}function p(h){Ye.patch({progress:h==="all"?null:h}),b.forEach(F=>{F&&F.updateRange&&F.updateRange(h)})}if(s.some(h=>h.stats.powerCurve)){let h=rl({grid:w,currentTrack:e,allTracks:s,metricKey:"power",label:"Power Curve Progress",unit:"W",color:De.power.color,icon:"bolt",onPinChange:P,onRangeChange:p,onTrackSelect:t,gridWidth:R});b.push(h)}if(s.some(h=>h.stats.hrCurve)){let h=rl({grid:w,currentTrack:e,allTracks:s,metricKey:"hr",label:"Heart Rate Curve Progress",unit:"bpm",color:De.hr.color,icon:"favorite",onPinChange:P,onRangeChange:p,onTrackSelect:t,gridWidth:R});b.push(h)}r!=="all"&&b.forEach(h=>{h&&h.updateRange&&h.updateRange(r)}),wn.forEach(h=>{h._ready=!0})}function rl(e){let{grid:s,currentTrack:t,allTracks:n,metricKey:o,label:r,unit:u,color:c,icon:m,onPinChange:T,onRangeChange:b,onTrackSelect:w,gridWidth:R}=e,S=t&&t.name||"Current Track",k=null,M=document.createElement("div");M.className="chart-row evolution-card-group",M.id=`${o}-evolution-card`,s.appendChild(M);let g=document.createElement("div");g.className="chart-row progress-chart-row",g.style.setProperty("--chart-color",c),g.style.flex="0 0 400px",g.style.borderBottom="none",g.innerHTML=` +
+
+ ${m} + ${r} +
+
+
+
+
+ `;let I=document.createElement("div");I.className="evolution-legend",I.innerHTML=` +
+ + ${S} +
+
+ + All-Time Max +
+ `;let p=Ye.get().progress||"all",h=document.createElement("div");h.className="chart-row progress-chart-row",h.style.setProperty("--chart-color",c),h.style.flex="1",h.style.borderBottom="none",h.innerHTML=` +
+
+ ${m} + Progress ${o==="power"?"Power":"HR"} +
+
+
+
+
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+
Delete all tracks?
+
+ This will permanently remove all tracks from your browser storage. This action cannot be undone. +
+
+
Enter "${e}" to confirm:
+ +
+
+ + +
+
+ `,document.body.appendChild(s);let t=s.querySelector(".modal-input"),n=s.querySelector(".modal-btn.confirm"),o=s.querySelector(".modal-btn.cancel");t.focus(),t.addEventListener("input",()=>{n.disabled=t.value!==e});let r=()=>s.remove();o.addEventListener("click",r),s.addEventListener("click",u=>{u.target===s&&r()}),n.addEventListener("click",async()=>{t.value===e&&(r(),Sn=!0,await at.clear(),ze={},Oe=null,_e.clearHighlight(),window.location.reload())})}function kt(e=!1){Object.keys(ze).forEach(t=>{let n=ze[t],o=n.stats,r=!0;if(ln)if(sn)try{new RegExp(ln,"i").test(n.name)||(r=!1)}catch{r=!1}else n.name.toLowerCase().includes(ln.toLowerCase())||(r=!1);if(r&&(Te.date[0]||Te.date[1])){let u=Te.date[0]?new Date(Te.date[0]).getTime():0,c=Te.date[1]?new Date(Te.date[1]).getTime():1/0,m=o.startTime||0;(mc)&&(r=!1)}if(r&&(Te.dist[0]!==null||Te.dist[1]!==null)){let u=(Te.dist[0]||0)*1e3,c=(Te.dist[1]||1/0)*1e3;(o.totalDistc)&&(r=!1)}if(r&&(Te.dur[0]!==null||Te.dur[1]!==null)){let u=(Te.dur[0]||0)*6e4,c=(Te.dur[1]||1/0)*6e4,m=o.duration||0;(mc)&&(r=!1)}if(r&&Te.metrics.size>0)for(let u of Te.metrics){let c=Me.METRICS[u].field;if(!n.points.some(m=>m[c]!=null)){r=!1;break}}if(r&&Te.sport&&n.sport!==Te.sport&&(r=!1),r&&Te.tags.length>0){let u=n.tags||[];Te.tags.every(c=>u.includes(c))||(r=!1)}n._filtered=!r,_e.setTrackVisible(n.id,n.visible&&r)}),e||mn()}function Fn(){document.getElementById("filter-date-start").value=Te.date[0]||"",document.getElementById("filter-date-end").value=Te.date[1]||"",document.getElementById("filter-dist-min").value=Te.dist[0]!==null?String(Te.dist[0]):"",document.getElementById("filter-dist-max").value=Te.dist[1]!==null?String(Te.dist[1]):"",document.getElementById("filter-dur-min").value=Te.dur[0]!==null?String(Te.dur[0]):"",document.getElementById("filter-dur-max").value=Te.dur[1]!==null?String(Te.dur[1]):"",document.getElementById("filter-tags").value=Te.tags.join(", "),document.querySelectorAll("#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item").forEach(t=>{let n=t;n.classList.toggle("active",(n.dataset.sport||"")===(Te.sport||""))}),document.querySelectorAll("#filter-metrics .mini-pill").forEach(t=>{let n=t;n.classList.toggle("active",Te.metrics.has(n.dataset.metric))});let e=(Te.date[0]?1:0)+(Te.date[1]?1:0)+(Te.dist[0]!==null?1:0)+(Te.dist[1]!==null?1:0)+(Te.dur[0]!==null?1:0)+(Te.dur[1]!==null?1:0)+Te.metrics.size+(Te.tags.length>0?1:0),s=document.querySelector("#btn-toggle-filters .btn-badge");s&&(s.textContent=e>0?String(e):"",s.classList.toggle("hidden",e===0))}function bl(){let e=document.getElementById("track-search");e&&(e.value=ln),document.getElementById("btn-regex-toggle")?.classList.toggle("active",sn);let s=gl.find(t=>t.val===dn);if(s){let t=document.getElementById("sort-current-label"),n=document.getElementById("sort-current-icon");t&&(t.textContent=s.label.replace(" first","").replace(" distance","").replace(" duration","")),n&&(n.textContent=s.icon)}}function fl(e){let s=e.track;if(s!==Oe&&(s&&ze[s]?Mt(s,!0):!s&&Oe&&(Oe=null,Me.clear(),on(null,[]),Bt(null),mn(),_e.fitAll())),e.map&&typeof e.map=="string"&&(_e.switchBasemap(e.map),document.querySelectorAll(".bm-btn").forEach(n=>n.classList.toggle("active",n.dataset.layer===e.map))),e.map_pos){let[n,o,r]=e.map_pos;_e.setPosition(n,o,r)}e.tab&&document.querySelectorAll(".tab-btn").forEach(n=>{let o=n;o.dataset.tab===e.tab&&(o.classList.contains("active")||o.click())}),e.xaxis&&Me.setXAxis(e.xaxis);let t=e.xaxis||"time";if(document.querySelectorAll("#x-axis-ctrl .seg-btn").forEach(n=>n.classList.toggle("active",n.dataset.axis===t)),e.metrics){let n=Me.METRICS,o=e.metrics.map(r=>Object.keys(n).find(u=>n[u].abbr===r)).filter(r=>r!==void 0);o.length&&Me.setActiveMetrics(o)}e.f_date&&(Te.date=e.f_date.map(n=>n||null)),e.f_dist&&(Te.dist=e.f_dist.map(n=>n===0?0:n||null)),e.f_dur&&(Te.dur=e.f_dur.map(n=>n===0?0:n||null)),e.f_mets&&(Te.metrics=new Set(e.f_mets)),e.f_tags&&(Te.tags=e.f_tags),Fn(),e.q&&(ln=e.q),e.re&&(sn=e.re),e.sort&&(dn=e.sort),bl(),kt()}function ro(){if(!document.getElementById("sport-filter-container"))return;let s=document.getElementById("common-sports"),t=document.getElementById("sport-dropdown-content");if(!s||!t)return;let n=new Set;Object.values(ze).forEach(u=>{u.sport&&n.add(u.sport)});let o=Array.from(n).sort(),r=document.getElementById("sport-burger-dropdown");s.innerHTML="",t.innerHTML="",o.length<=4?(r&&(r.style.display="none"),o.forEach(u=>{let c=document.createElement("button");c.className=`mini-pill${Te.sport===u?" active":""}`,c.dataset.sport=u,c.title=u.charAt(0).toUpperCase()+u.slice(1),c.innerHTML=`${ns(u)}`,s.appendChild(c)})):(r&&(r.style.display="inline-block"),["running","cycling","walking"].forEach(c=>{if(n.has(c)){let m=document.createElement("button");m.className=`mini-pill${Te.sport===c?" active":""}`,m.dataset.sport=c,m.title=c.charAt(0).toUpperCase()+c.slice(1),m.innerHTML=`${ns(c)}`,s.appendChild(m)}}),o.forEach(c=>{let m=document.createElement("div");m.className=`dropdown-item${Te.sport===c?" active":""}`,m.dataset.sport=c,m.style.padding="8px",m.style.cursor="pointer",m.style.display="flex",m.style.alignItems="center",m.style.gap="8px",m.innerHTML=` + ${ns(c)} + ${c.charAt(0).toUpperCase()+c.slice(1)} + `,t.appendChild(m)}))}function mn(){ro();let e=document.getElementById("track-list"),s=document.getElementById("track-list-empty"),t=document.querySelector(".section-label");if(!e)return;let n=Object.keys(ze).filter(o=>!ze[o]._filtered);if(t&&(t.textContent=`Tracks (${n.length})`),!n.length){e.innerHTML="",s&&(e.appendChild(s),s.style.display="block");return}s&&(s.style.display="none"),e.innerHTML="",n.sort((o,r)=>{if(o===Oe)return-1;if(r===Oe)return 1;let 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t=e.points.length&&e.points[0].time?Zt(e.points[0].time):"Unknown date",n=(e.tags||[]).length>0?`
${(e.tags||[]).map(r=>{let u=Qn(r);return`${pt(r)}`}).join("")}
`:"";s.innerHTML=` +
+
+
${pt(e.displayName||e.name)}
+
+
+ ${t} + ${Math.round(e.stats.totalDist/1e3)} km + ${e.sport?`${ns(e.sport)}`:""} + ${e.format.toUpperCase()} +
+ +
+ ${n} +
+ `,s.addEventListener("click",r=>{r.target.closest(".icon-btn")||Mt(e.id)});let o=s.querySelector(".toggle-vis");return o.addEventListener("click",()=>{e.visible=!e.visible,o.querySelector(".material-symbols-rounded").textContent=e.visible?"visibility":"visibility_off",_e.setTrackVisible(e.id,e.visible),at.save(e)}),s}function ls(e,s="info"){let t=document.getElementById("toast-container");if(!t)return;t.innerHTML="";let n=document.createElement("div");n.className=`toast ${s}`,n.textContent=e,t.appendChild(n)}function uo(){let e=document.createElement("div");e.className="modal-backdrop";let s="";Tt.forEach(r=>{s+=`
${r.name}: ${r.reason}
`}),e.innerHTML=` +
+
Skipped Imports
+
+ ${s||"
No skipped imports.
"} +
+
+ + +
+
+ `,document.body.appendChild(e);let t=e.querySelector(".modal-btn.cancel"),n=e.querySelector(".modal-btn.clear"),o=()=>e.remove();t.addEventListener("click",o),n.addEventListener("click",()=>{Tt=[],o();let r=document.getElementById("import-warning");r&&r.classList.add("hidden")}),e.addEventListener("click",r=>{r.target===e&&o()})}function mo(){let e=document.getElementById("drop-zone");if(!e)return;let s=document.getElementById("import-warning");s&&s.addEventListener("click",t=>{t.stopPropagation(),uo()}),window.addEventListener("dragover",t=>{t.preventDefault(),e.classList.add("drop-active")}),window.addEventListener("dragleave",t=>{t.relatedTarget===null&&e.classList.remove("drop-active")}),window.addEventListener("drop",async t=>{t.preventDefault(),e.classList.remove("drop-active");let n=t.dataTransfer?.items;if(!n)return;let o=[],r=[];for(let c=0;cc.file(T));o.push(m)}else if(c.isDirectory){let m=c.createReader(),T=[],b;do b=await new Promise(w=>m.readEntries(w)),T.push(...b);while(b.length>0);for(let w of T)await u(w)}}for(let c of r)await u(c);o.length&&os(o)})}async function os(e){if(!e.length)return;Sn=!1;let s=Tt.length,t=document.getElementById("global-loader"),n=document.getElementById("loader-text"),o=document.getElementById("loader-subtext"),r=document.getElementById("loader-progress-bar"),u=document.getElementById("loader-close");u&&u.addEventListener("click",()=>{Sn=!0,t&&t.classList.add("hidden")});function c(){let m=document.querySelector(".loader-icon-wrap span");m&&(m.textContent="warning",m.style.color="#f59e0b");let T=document.getElementById("loader-warning-count");if(T){let b=Tt.length-s,w=T.querySelector("span");w&&(w.textContent=`${b}`),T.style.display="flex"}}if(t){n&&(n.textContent=`Importing ${e.length} file${e.length>1?"s":""}`);let m=document.querySelector(".loader-icon-wrap span");m&&(m.textContent="download",m.style.color="var(--accent)");let T=document.getElementById("loader-warning-count");if(T){T.style.display="none";let b=T.querySelector("span");b&&(b.textContent="0")}o&&(o.textContent=""),r&&(r.style.width="0%"),t.classList.remove("hidden"),Tt.length>s&&c()}try{let m=0,T=null,b=0,w=e.filter(I=>{let P=I.name.toLowerCase();return P.endsWith(".gpx")||P.endsWith(".fit")||P.endsWith(".tcx")||P.endsWith(".kml")});if(e.filter(I=>!w.includes(I)).forEach(I=>{Tt.push({name:I.name,reason:"Unsupported file format"})}),w.length===0){if(e.length>0){ls("No valid GPS files found","error");let I=document.getElementById("import-warning");I&&Tt.length>0&&(I.classList.remove("hidden"),I.title=`Skipped ${Tt.length} imports. Click to view details.`)}return}let S=document.getElementById("loader-filename"),k=null;if(o){o.innerHTML='',k=o.querySelector(".progress-index");let I=o.querySelector(".progress-total");I&&(I.textContent=w.length.toString())}for(let I=0;Ia.fileName===P.name&&a.fileSize===P.size)){Tt.push({name:P.name,reason:"Same File"}),c();continue}let q=p.stats.startTime,J=p.stats.duration;if(q!=null&&J!=null){let a=q+J,G=h.filter(se=>se.stats.startTime!=null&&Zl(q,se.stats.startTime)),X=!1;for(let se of G){let U=se.stats.startTime,ne=se.stats.duration,Le=U+ne;if(q>=U&&a<=Le){Tt.push({name:P.name,reason:"Fully contained in another track"}),c(),X=!0;break}if(Math.min(a,Le)-Math.max(q,U)>6e5){Tt.push({name:P.name,reason:"Overlaps with an existing track for more than 10 mins"}),c(),X=!0;break}}if(X)continue}let Y=17855424e5,B=Ds(p.stats.startTime||Y);ze[B]&&(B+=`-${Rs()}`);let z=p.name;(z.startsWith("Unnamed")||z.startsWith("Fit Activity"))&&(z=P.name);let D=z,le=p.points[0]?.time,y=p.sport?p.sport.charAt(0).toUpperCase()+p.sport.slice(1):"Activity";if(le){let a=new Date(le);D=`${a.getUTCFullYear()}-${String(a.getUTCMonth()+1).padStart(2,"0")}-${String(a.getUTCDate()).padStart(2,"0")} ${y}`}else D=z.replace(/\.[^/.]+$/,"").replace(/_/g," ");let d={...p,id:B,name:z,displayName:D,fileName:P.name,fileSize:P.size,bounds:ms(p.points)||void 0,simplifiedPoints:ps(p.points,50),addedAt:p.stats.startTime||Y,visible:!0,color:ss[Dn%ss.length]};if(Dn++,Sn)break;await at.save(d),ze[B]=d,_e.addTrack(d),T||(T=B),m++,b++,b>=5&&(b=0)}catch(p){Tt.push({name:P.name,reason:`Parse error: ${p instanceof Error?p.message:String(p)}`}),c()}}let M=document.getElementById("import-warning");M&&(Tt.length>0?(M.classList.remove("hidden"),M.title=`Skipped ${Tt.length} imports. Click to view details.`):M.classList.add("hidden"));let g=Tt.length>s;if(!g&&t&&t.classList.add("hidden"),m>0&&(ls(`Imported ${m} track${m>1?"s":""}`),kt(!!T&&T!==Oe),T&&Mt(T)),g){let I=document.querySelector(".loader-icon-wrap span");I&&(I.textContent="warning"),await new Promise(P=>setTimeout(P,1500))}}finally{t&&t.classList.add("hidden")}}function po(){let e=document.getElementById("metric-pills");if(!e)return;let s=null;e.addEventListener("dragstart",t=>{let n=t.target.closest(".metric-pill");n&&(s=n,t.dataTransfer.effectAllowed="move",n.classList.add("dragging-pill"),setTimeout(()=>n.style.opacity="0.4",0))}),e.addEventListener("dragover",t=>{t.preventDefault(),t.dataTransfer.dropEffect="move";let n=t.target.closest(".metric-pill");if(n&&n!==s){let o=n.getBoundingClientRect(),r=t.clientX-o.left>o.width/2;e.insertBefore(s,r?n.nextSibling:n)}}),e.addEventListener("dragend",()=>{if(!s)return;s.classList.remove("dragging-pill"),s.style.opacity="",s=null;let t=Array.from(e.querySelectorAll(".metric-pill")).map(n=>n.dataset.metric);Me.updateMetricOrder(t),ys()})}function kn(){let e=document.getElementById("chart-toolbar"),s=document.getElementById("metric-pills");if(!e||!s)return;e.classList.remove("collapsed");let t=Math.max(0,e.clientWidth-280),n=0,o=!1;Array.from(s.children).forEach(u=>{let c=u;if(c.id==="pill-overflow"||(c.classList.remove("overflow-hidden"),!c.classList.contains("active")))return;let T=36+(c.dataset.metric||"").length*6;n+=T+6,n>t&&(o=!0,c.classList.add("overflow-hidden"))});let r=document.getElementById("pill-overflow");r&&r.classList.toggle("hidden",!o),o&&e.classList.add("collapsed")}document.addEventListener("DOMContentLoaded",Jl);export{Mt as selectTrack}; +//# sourceMappingURL=tools-gps-tracks.mjs.map diff --git a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map new file mode 100644 index 0000000000..50e5f9f953 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map @@ -0,0 +1,7 @@ +{ + "version": 3, + "sources": ["../src/url-state.ts", "../src/storage.ts", "../src/parsers.ts", "../src/utils.ts", "../src/map.ts", "../src/charts.ts", "../src/zones.ts", "../src/metrics.ts", "../src/sports.ts", "../src/tabs/details.ts", "../src/tabs/insights.ts", "../src/tabs/courses.ts", "../src/tabs/combined.ts", "../src/tabs/progress.ts", "../src/tabs/accumulated_progress.ts", "../src/app.ts"], + "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 URL State \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n// Handles reading/writing application state to the URL.\n// Uses an incremental \"patch\" approach to preserve existing params.\n\nexport interface AppState {\n track?: string;\n map?: string;\n xaxis?: string;\n metrics?: string[];\n f_date?: (string | null)[];\n f_dist?: (number | null)[];\n f_dur?: (number | null)[];\n f_mets?: string[];\n f_tags?: string[];\n q?: string;\n re?: boolean;\n sort?: string;\n map_pos?: [number, number, number];\n storage?: 'memory' | 'indexeddb';\n sel?: [number, number];\n sel_point?: number;\n tab?: string;\n progress?: string;\n speed_mode?: string;\n}\n\nexport const UrlState = (() => {\n // Internal state object, initialized from current URL.\n let _state: AppState = {};\n let _lastSearch: string | null = null;\n let _syncTimeout: any = null;\n let _shouldPush = false;\n\n function read(): AppState {\n const p = new URLSearchParams(location.search);\n const s: AppState = {};\n\n if (p.has('track')) s.track = p.get('track')!;\n if (p.has('map')) s.map = p.get('map')!;\n if (p.has('xaxis')) s.xaxis = p.get('xaxis')!;\n if (p.has('tab')) s.tab = p.get('tab')!;\n if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point'));\n if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!;\n if (p.has('progress')) s.progress = p.get('progress')!;\n const metricsRaw = p.get('metrics');\n if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean);\n\n if (p.has('f_date')) {\n s.f_date = p\n .get('f_date')!\n .split(',')\n .map((v) => v || null);\n }\n if (p.has('f_dist')) {\n s.f_dist = p\n .get('f_dist')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_dur')) {\n s.f_dur = p\n .get('f_dur')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(',');\n if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(',');\n\n if (p.has('q')) s.q = p.get('q')!;\n if (p.has('re')) s.re = p.get('re') === '1';\n if (p.has('sort')) {\n const v = p.get('sort')!;\n const isDesc = v.startsWith('-');\n const field = isDesc ? v.substring(1) : v;\n s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`;\n }\n\n if (p.has('map_pos')) {\n const parts = p.get('map_pos')!.split(',').map(Number);\n if (parts.length === 3 && parts.every(isFinite))\n s.map_pos = parts as [number, number, number];\n }\n\n if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb';\n if (p.has('sel')) {\n const parts = p.get('sel')!.split(',').map(Number);\n if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v)))\n s.sel = parts as [number, number];\n }\n\n return s;\n }\n\n // Sync _state to browser URL synchronously so no pending timer leaks across steps\n function _sync() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n\n const p = new URLSearchParams();\n\n // Add standard encoded params\n if (_state.track) p.set('track', _state.track);\n if (_state.map) p.set('map', _state.map);\n if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis);\n if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab);\n if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage);\n if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point));\n if (_state.speed_mode) p.set('speed_mode', _state.speed_mode);\n if (_state.q) p.set('q', _state.q);\n if (_state.progress) p.set('progress', _state.progress);\n if (_state.re) p.set('re', '1');\n\n if (_state.sort) {\n const parts = _state.sort.split('-');\n const field = parts[0];\n const dir = parts[1];\n p.set('sort', (dir === 'desc' ? '-' : '') + field);\n }\n\n let search = p.toString();\n\n // Add comma-separated params (literal commas for cleaner URL)\n if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`;\n\n if (_state.f_date)\n search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`;\n\n if (_state.f_dist)\n search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_dur)\n search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`;\n\n if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`;\n\n if (_state.map_pos) {\n const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${\n _state.map_pos[2]\n }`;\n search += `${search ? '&' : ''}map_pos=${val}`;\n }\n if (_state.sel) {\n const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`;\n search += `${search ? '&' : ''}sel=${val}`;\n }\n\n if (search !== _lastSearch) {\n const url = location.pathname + (search ? `?${search}` : '');\n if (_shouldPush) {\n history.pushState(null, '', url);\n _shouldPush = false;\n } else {\n history.replaceState(null, '', url);\n }\n _lastSearch = search;\n }\n }\n\n // Initial read\n _state = read();\n\n function get(): AppState {\n return { ..._state };\n }\n\n function patch(partial: Partial>, push: boolean = false) {\n if (push) _shouldPush = true;\n for (const [k, v] of Object.entries(partial)) {\n const key = k as keyof AppState;\n if (v === null || v === undefined) delete _state[key];\n else (_state as any)[key] = v;\n }\n _sync();\n }\n\n function refresh() {\n _state = read();\n }\n\n function reset() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n _state = {};\n _shouldPush = false;\n _lastSearch = '';\n history.replaceState(null, '', location.pathname);\n }\n\n return { get, patch, refresh, reset };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport { TrackData } from './parsers';\nimport { UrlState } from './url-state';\n\nexport interface StorageDriver {\n openDB(): Promise;\n save(track: TrackData): Promise;\n getAll(): Promise;\n remove(id: string): Promise;\n clear(): Promise;\n set(key: string, value: any): Promise;\n get(key: string): Promise;\n}\n\nclass InMemoryStorage implements StorageDriver {\n private trackStore = new Map();\n private settingStore = new Map();\n\n async openDB(): Promise {\n return Promise.resolve();\n }\n\n async save(track: TrackData): Promise {\n this.trackStore.set(track.id, track);\n return Promise.resolve();\n }\n\n async getAll(): Promise {\n return Promise.resolve(Array.from(this.trackStore.values()));\n }\n\n async remove(id: string): Promise {\n this.trackStore.delete(id);\n return Promise.resolve();\n }\n\n async clear(): Promise {\n this.trackStore.clear();\n this.settingStore.clear();\n return Promise.resolve();\n }\n\n async set(key: string, value: any): Promise {\n this.settingStore.set(key, value);\n return Promise.resolve();\n }\n\n async get(key: string): Promise {\n return Promise.resolve((this.settingStore.get(key) as T) ?? null);\n }\n}\n\nclass IndexedDBStorage implements StorageDriver {\n private db: IDBDatabase | null = null;\n private readonly DB_NAME = 'weg-gps-db';\n private readonly DB_VERSION = 2;\n\n async openDB(): Promise {\n return new Promise((resolve, reject) => {\n const req = indexedDB.open(this.DB_NAME, this.DB_VERSION);\n req.onupgradeneeded = () => {\n const db = req.result;\n if (!db.objectStoreNames.contains('tracks'))\n db.createObjectStore('tracks', { keyPath: 'id' });\n if (!db.objectStoreNames.contains('settings')) db.createObjectStore('settings');\n };\n req.onsuccess = () => {\n this.db = req.result;\n resolve();\n };\n req.onerror = () => reject(req.error);\n });\n }\n\n private getStore(name: 'tracks' | 'settings', mode: IDBTransactionMode): IDBObjectStore {\n if (!this.db) throw new Error('IndexedDB not opened');\n return this.db.transaction(name, mode).objectStore(name);\n }\n\n async save(track: TrackData): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').put(track);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async getAll(): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readonly').getAll();\n req.onsuccess = () => res(req.result || []);\n req.onerror = () => rej(req.error);\n });\n }\n\n async remove(id: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').delete(id);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async clear(): Promise {\n if (!this.db) return Promise.resolve();\n return new Promise((res, rej) => {\n const tx = this.db!.transaction(['tracks', 'settings'], 'readwrite');\n tx.objectStore('tracks').clear();\n tx.objectStore('settings').clear();\n tx.oncomplete = () => res();\n tx.onerror = () => rej(tx.error);\n });\n }\n\n async set(key: string, value: any): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readwrite').put(value, key);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async get(key: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readonly').get(key);\n req.onsuccess = () => res((req.result as T) ?? null);\n req.onerror = () => rej(req.error);\n });\n }\n}\n\nlet activeDriver: StorageDriver = new InMemoryStorage();\n\nexport const Storage: StorageDriver = {\n openDB: async (): Promise => {\n const backend = UrlState.get().storage;\n activeDriver = backend === 'indexeddb' ? new IndexedDBStorage() : new InMemoryStorage();\n await activeDriver.openDB();\n },\n save: (t) => activeDriver.save(t),\n getAll: () => activeDriver.getAll(),\n remove: (id) => activeDriver.remove(id),\n clear: () => activeDriver.clear(),\n set: (k, v) => activeDriver.set(k, v),\n get: (k: string) => activeDriver.get(k),\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport FitParser from 'fit-file-parser';\nimport { haversine } from './utils';\n\nexport interface TrackPoint {\n lat: number;\n lon: number;\n ele: number | null;\n time: number | null;\n hr: number | null;\n cad: number | null;\n power: number | null;\n speed: number | null;\n temp: number | null;\n gearFront: number | null;\n gearRear: number | null;\n gearFrontTooth: number | null;\n gearRearTooth: number | null;\n battery: number | null;\n gears: number | null;\n dist?: number;\n gradient?: number | null;\n}\n\nexport interface TrackStats {\n totalDist: number;\n elevGain: number;\n elevLoss: number;\n duration: number | null;\n avgSpeed: number | null;\n maxSpeed: number;\n avgPower: number | null;\n maxPower: number;\n avgHR: number | null;\n maxHR: number;\n avgCadence: number | null;\n avgTemp?: number | null;\n minTemp?: number | null;\n maxTemp?: number | null;\n sensors: string[];\n startTime?: number | null;\n powerCurve?: Record | null;\n hrCurve?: Record | null;\n hrZones?: number[] | null; // Time in seconds for each zone\n powerZones?: number[] | null; // Time in seconds for each zone\n shifts?: number | null; // Total number of shifts detected\n avgBattery?: number | null;\n}\n\nexport interface DeviceInfo {\n name?: string;\n manufacturer?: string;\n product?: string;\n serial?: string;\n version?: string;\n hardwareVersion?: string;\n type?: string;\n batteryStatus?: string;\n batteryVoltage?: number;\n batteryLevel?: number;\n sourceType?: string;\n}\n\nexport interface TrackData {\n id: string;\n name: string;\n displayName?: string;\n bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number };\n fileName?: string;\n fileSize?: number;\n device: string | null;\n devices?: DeviceInfo[];\n sport?: string | null;\n subSport?: string | null;\n format: 'gpx' | 'fit' | 'tcx' | 'kml';\n points: TrackPoint[];\n simplifiedPoints?: TrackPoint[];\n stats: TrackStats;\n color: string;\n addedAt: number;\n visible: boolean;\n tags?: string[];\n _filtered?: boolean;\n}\n\nexport function calculateBounds(pts: TrackPoint[]) {\n if (!pts.length) return null;\n let minLat = pts[0].lat;\n let maxLat = pts[0].lat;\n let minLon = pts[0].lon;\n let maxLon = pts[0].lon;\n for (const p of pts) {\n if (p.lat < minLat) minLat = p.lat;\n if (p.lat > maxLat) maxLat = p.lat;\n if (p.lon < minLon) minLon = p.lon;\n if (p.lon > maxLon) maxLon = p.lon;\n }\n return { minLat, maxLat, minLon, maxLon };\n}\n\nexport function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] {\n if (pts.length <= 2) return pts;\n const result: TrackPoint[] = [pts[0]];\n let lastPoint = pts[0];\n for (let i = 1; i < pts.length - 1; i++) {\n const p = pts[i];\n const d =\n p.dist != null && lastPoint.dist != null\n ? p.dist - lastPoint.dist\n : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon);\n if (d >= minDistanceMeters) {\n result.push(p);\n lastPoint = p;\n }\n }\n result.push(pts[pts.length - 1]); // Always keep the last point\n return result;\n}\n\nexport const Parsers = (() => {\n // \u2500\u2500 Enrich track with distance & metadata \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function enrichPoints(pts: TrackPoint[]): TrackPoint[] {\n let totalDist = 0;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n const d = haversine(prev.lat, prev.lon, p.lat, p.lon);\n totalDist += d;\n\n // Calculate speed if missing (m/s)\n if (p.speed == null && p.time != null && prev.time != null) {\n const dt = (p.time - prev.time) / 1000;\n if (dt > 0 && dt < 10) {\n // Skip big gaps\n p.speed = d / dt;\n }\n }\n\n // Calculate gradient if missing (%)\n if (p.gradient === undefined && p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (d > 0.5) {\n // Only calculate for non-tiny movements to reduce jitter\n p.gradient = (de / d) * 100;\n } else {\n p.gradient = prev.gradient || 0;\n }\n }\n }\n p.dist = totalDist;\n }\n\n // Optional: basic smoothing for gradient\n for (let i = 1; i < pts.length - 1; i++) {\n if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null)\n pts[i].gradient = (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3;\n }\n\n return pts;\n }\n\n // \u2500\u2500 Compute stats \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n let hrZoneThresholds = [120, 140, 160, 180];\n let ftp = 200;\n\n function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats {\n const stats: TrackStats = {\n totalDist: 0,\n elevGain: 0,\n elevLoss: 0,\n duration: null,\n avgSpeed: null,\n maxSpeed: 0,\n avgPower: null,\n maxPower: 0,\n avgHR: null,\n maxHR: 0,\n avgCadence: null,\n avgTemp: null,\n minTemp: null,\n maxTemp: null,\n sensors: [],\n startTime: pts.length ? pts[0].time : null,\n };\n\n if (!pts.length) return stats;\n\n let powerSum = 0,\n powerN = 0;\n let hrSum = 0,\n hrN = 0;\n let cadSum = 0,\n cadN = 0;\n let speedSum = 0,\n speedN = 0;\n let batterySum = 0,\n batteryN = 0;\n let tempSum = 0,\n tempN = 0;\n let hasTemp = false;\n let shifts = 0;\n let hasGears = false;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const diff = p.ele - prev.ele;\n if (diff > 0) stats.elevGain += diff;\n else stats.elevLoss -= diff;\n }\n if (\n (p.gearFront != null && p.gearFront !== prev.gearFront) ||\n (p.gearRear != null && p.gearRear !== prev.gearRear)\n )\n shifts++;\n }\n if (p.power != null) {\n powerSum += p.power;\n powerN++;\n if (p.power > stats.maxPower) stats.maxPower = p.power;\n }\n if (p.hr != null) {\n hrSum += p.hr;\n hrN++;\n if (p.hr > stats.maxHR) stats.maxHR = p.hr;\n }\n if (p.cad != null) {\n cadSum += p.cad;\n cadN++;\n }\n if (p.speed != null) {\n speedSum += p.speed;\n speedN++;\n if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed;\n }\n if (p.battery != null) {\n batterySum += p.battery;\n batteryN++;\n }\n if (p.temp != null) {\n hasTemp = true;\n tempSum += p.temp;\n tempN++;\n if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp;\n if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp;\n }\n if (p.gearFront != null || p.gearRear != null) hasGears = true;\n }\n\n stats.totalDist = pts[pts.length - 1].dist || 0;\n stats.avgPower = powerN ? Math.round(powerSum / powerN) : null;\n stats.avgHR = hrN ? Math.round(hrSum / hrN) : null;\n stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null;\n stats.avgSpeed = speedN ? speedSum / speedN : null;\n stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null;\n stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null;\n stats.shifts = hasGears ? shifts : null;\n\n const t0 = pts[0].time;\n const t1 = pts[pts.length - 1].time;\n if (t0 != null && t1 != null) stats.duration = t1 - t0;\n\n if (hrN) {\n stats.sensors.push('Heart Rate');\n if (includeCurves) {\n stats.hrZones = calculateHRZones(pts);\n stats.hrCurve = calculateHRCurve(pts);\n }\n }\n if (cadN) stats.sensors.push('Cadence');\n if (powerN) {\n stats.sensors.push('Power');\n if (includeCurves) {\n stats.powerCurve = calculatePowerCurve(pts);\n stats.powerZones = calculatePowerZones(pts);\n }\n }\n if (hasTemp) stats.sensors.push('Temperature');\n if (hasGears) stats.sensors.push('Shifting');\n if (batteryN) stats.sensors.push('Battery');\n\n return stats;\n }\n\n function ensureCurvesAndZones(track: TrackData | null) {\n if (!track || !track.points || !track.stats) return;\n const pts = track.points;\n const s = track.stats;\n if (s.avgHR != null && !s.hrCurve) {\n s.hrZones = calculateHRZones(pts);\n s.hrCurve = calculateHRCurve(pts);\n }\n if (s.avgPower != null && !s.powerCurve) {\n s.powerCurve = calculatePowerCurve(pts);\n s.powerZones = calculatePowerZones(pts);\n }\n }\n\n const STANDARD_CURVE_DURATIONS = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600,\n ];\n\n function calculateSlidingMax(data: number[], durations: number[]) {\n const len = data.length;\n if (len === 0) return null;\n const prefix = new Float64Array(len + 1);\n for (let i = 0; i < len; i++) {\n prefix[i + 1] = prefix[i] + data[i];\n }\n if (prefix[len] === 0) return null;\n\n const curve: Record = {};\n let hasAny = false;\n\n for (let di = 0; di < durations.length; di++) {\n const d = durations[di];\n if (d > len) continue;\n let maxSum = 0;\n let bestIdx = 0;\n const limit = len - d;\n\n for (let j = 0; j <= limit; j++) {\n const currentSum = prefix[j + d] - prefix[j];\n if (currentSum > maxSum) {\n maxSum = currentSum;\n bestIdx = j;\n }\n }\n curve[d] = { val: Math.round(maxSum / d), idx: bestIdx };\n hasAny = true;\n }\n\n return hasAny ? curve : null;\n }\n\n function calculatePowerCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const powerData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].power || 0;\n powerData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculateHRCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const hrData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].hr || 0;\n hrData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculatePowerZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0, 0, 0];\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.power == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue;\n\n const pw = p.power;\n if (pw < thresholds[0]) zones[0] += dt;\n else if (pw < thresholds[1]) zones[1] += dt;\n else if (pw < thresholds[2]) zones[2] += dt;\n else if (pw < thresholds[3]) zones[3] += dt;\n else if (pw < thresholds[4]) zones[4] += dt;\n else if (pw < thresholds[5]) zones[5] += dt;\n else zones[6] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setFTP(val: number) {\n ftp = val;\n }\n\n function getFTP() {\n return ftp;\n }\n\n function calculateHRZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0];\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.hr == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue; // Skip gaps\n\n const hr = p.hr;\n if (hr < hrZoneThresholds[0]) zones[0] += dt;\n else if (hr < hrZoneThresholds[1]) zones[1] += dt;\n else if (hr < hrZoneThresholds[2]) zones[2] += dt;\n else if (hr < hrZoneThresholds[3]) zones[3] += dt;\n else zones[4] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setHRZones(thresholds: number[]) {\n hrZoneThresholds = thresholds;\n }\n\n function getHRZones() {\n return [...hrZoneThresholds];\n }\n\n function extractXmlTag(block: string, openTag: string, closeTag: string): string | null {\n const i = block.indexOf(openTag);\n if (i === -1) return null;\n const start = i + openTag.length;\n const j = block.indexOf(closeTag, start);\n if (j === -1) return null;\n const val = block.slice(start, j).trim();\n return val !== '' ? val : null;\n }\n\n function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null {\n const i = tagOpen.indexOf(attrPrefix);\n if (i === -1) return null;\n const start = i + attrPrefix.length;\n const j = tagOpen.indexOf('\"', start);\n if (j === -1) return null;\n return tagOpen.slice(start, j);\n }\n\n let cachedDateKey = -1;\n let cachedDayMs = 0;\n\n function parseIntSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let val = 0;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n val = val * 10 + (c - 48);\n digits++;\n } else {\n break;\n }\n }\n if (digits === 0) return null;\n return neg ? -val : val;\n }\n\n function parseFloatSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let intPart = 0;\n let fracPart = 0;\n let fracDiv = 1;\n let inFrac = false;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n digits++;\n if (!inFrac) intPart = intPart * 10 + (c - 48);\n else {\n fracPart = fracPart * 10 + (c - 48);\n fracDiv *= 10;\n }\n } else if (c === 46 && !inFrac) {\n inFrac = true;\n } else {\n const n = parseFloat(text.slice(start - (neg ? 1 : 0), end));\n return Number.isFinite(n) ? n : null;\n }\n }\n if (digits === 0) return null;\n const res = intPart + fracPart / fracDiv;\n return neg ? -res : res;\n }\n\n function fastParseTimeSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n const len = end - start;\n if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) {\n const y =\n (text.charCodeAt(start) - 48) * 1000 +\n (text.charCodeAt(start + 1) - 48) * 100 +\n (text.charCodeAt(start + 2) - 48) * 10 +\n (text.charCodeAt(start + 3) - 48);\n const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48);\n const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48);\n const key = (y << 9) | (m << 5) | d;\n if (key !== cachedDateKey) {\n cachedDateKey = key;\n cachedDayMs = Date.UTC(y, m - 1, d);\n }\n const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48);\n const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48);\n const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48);\n let ms = 0;\n if (text.charCodeAt(start + 19) === 46 && len >= 24) {\n ms =\n (text.charCodeAt(start + 20) - 48) * 100 +\n (text.charCodeAt(start + 21) - 48) * 10 +\n (text.charCodeAt(start + 22) - 48);\n }\n return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms;\n }\n const t = new Date(text.slice(start, end)).getTime();\n return Number.isFinite(t) ? t : null;\n }\n\n function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number {\n const i = text.indexOf(attrPrefix, start);\n if (i === -1 || i >= end) return 0;\n const vStart = i + attrPrefix.length;\n const j = text.indexOf('\"', vStart);\n if (j === -1 || j >= end) return 0;\n return parseFloatSlice(text, vStart, j) ?? 0;\n }\n\n // \u2500\u2500 GPX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseGPX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTrkpt = text.indexOf('');\n const name =\n (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) ||\n extractXmlTag(header, '', '') ||\n 'Unnamed Track';\n\n const gpxOpenEnd = header.indexOf('>', header.indexOf('', trkStart + 6);\n if (openEnd === -1) break;\n const trkEnd = text.indexOf('', openEnd + 1);\n if (trkEnd === -1) break;\n pos = trkEnd + 8;\n\n const lat = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lat=\"');\n const lon = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lon=\"');\n\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let temp: number | null = null;\n let speed: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = openEnd + 1;\n while (p < trkEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= trkEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= trkEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n // Skip duplicate block when primary fields already parsed\n const tagLen = gt - lt - 1;\n if (c1 === 103 && tagLen === 26 && hr !== null && cad !== null && temp !== null) {\n break;\n }\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > trkEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 3) {\n if (c1 === 101) ele = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 99 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 2) {\n if (c1 === 104 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 4) {\n if (c1 === 116) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if ((c1 === 112 || c1 === 80 || c1 === 87) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 115 || c1 === 83) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if ((c1 === 98 || c1 === 66) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 103 || c1 === 71) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if (c1 === 103) {\n if (text.charCodeAt(lt + 8) === 104 && hr === null)\n hr = parseIntSlice(text, vStart, vEnd);\n else if (gearFront === null) gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (c1 === 71 && gearFront === null) {\n gearFront = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 10) {\n if (c1 === 103 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 103 && text.charCodeAt(lt + 8) === 97 && temp === null)\n temp = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 103 || c1 === 71) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if ((c1 === 103 || c1 === 71) && gearFrontTooth === null)\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 65 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 11 && c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!points.length) throw new Error('No track points found in GPX');\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'gpx', points: pts, stats };\n }\n\n // \u2500\u2500 TCX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseTCX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTp = text.indexOf('');\n const header = firstTp !== -1 ? text.slice(0, firstTp) : text;\n\n const name = extractXmlTag(header, '', '') || 'Unnamed TCX';\n const creatorBlock = extractXmlTag(header, '', '');\n const device = creatorBlock ? extractXmlTag(creatorBlock, '', '') : null;\n\n const points: TrackPoint[] = [];\n let pos = firstTp !== -1 ? firstTp : 0;\n while (pos < text.length) {\n const tpStart = text.indexOf('', pos);\n if (tpStart === -1) break;\n const tpEnd = text.indexOf('', tpStart + 12);\n if (tpEnd === -1) break;\n pos = tpEnd + 13;\n\n let lat: number | null = null;\n let lon: number | null = null;\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let speed: number | null = null;\n let temp: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = tpStart + 12;\n while (p < tpEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= tpEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= tpEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n const tagLen = gt - lt - 1;\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > tpEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 4) {\n if (c1 === 84) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 116 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if (c1 === 86 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 87 || c1 === 80 || c1 === 112) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 83 || c1 === 115) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 66 || c1 === 98) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 71 || c1 === 103) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if ((c1 === 71 || c1 === 103) && gearFront === null)\n gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 10) {\n if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 11) {\n if (c1 === 84 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 71 || c1 === 103) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if (c1 === 65) {\n if (text.charCodeAt(lt + 2) === 108) ele = parseFloatSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if ((c1 === 71 || c1 === 103) && gearFrontTooth === null) {\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 15) {\n if (c1 === 76) lat = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 16) {\n if (c1 === 76) lon = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 2 && c1 === 104 && hr === null) {\n hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 3 && c1 === 99 && cad === null) {\n cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n if (lat == null || lon == null) continue;\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'tcx', points: pts, stats };\n }\n\n function fastDecodeFitData(buf: ArrayBuffer): any | null {\n if (buf.byteLength < 14) return null;\n const dv = new DataView(buf);\n const headerSize = dv.getUint8(0);\n if (headerSize < 12 || headerSize + 2 > buf.byteLength) return null;\n if (\n dv.getUint8(8) !== 0x2e ||\n dv.getUint8(9) !== 0x46 ||\n dv.getUint8(10) !== 0x49 ||\n dv.getUint8(11) !== 0x54\n ) {\n return null;\n }\n const dataSize = dv.getUint32(4, true);\n const endOffset = Math.min(buf.byteLength, headerSize + dataSize);\n const GARMIN_EPOCH_SEC = 631065600;\n const SEMICIRCLE_TO_DEG = 180 / Math.pow(2, 31);\n\n interface FieldDef {\n num: number;\n size: number;\n type: number;\n }\n interface MsgDef {\n littleEndian: boolean;\n globalMsgNum: number;\n fields: FieldDef[];\n recordSize: number;\n }\n const defs: (MsgDef | undefined)[] = new Array(16);\n const file_ids: any[] = [];\n const sessions: any[] = [];\n const records: any[] = [];\n const events: any[] = [];\n const device_infos: any[] = [];\n\n let offset = headerSize;\n while (offset < endOffset) {\n const hdr = dv.getUint8(offset++);\n if ((hdr & 0x80) !== 0 || (hdr & 0x20) !== 0) {\n return null; // Compressed timestamp or developer data: fallback to FitParser\n }\n const localNum = hdr & 0x0f;\n if ((hdr & 0x40) !== 0) {\n if (offset + 5 > endOffset) return null;\n offset++; // reserved\n const arch = dv.getUint8(offset++);\n const littleEndian = arch === 0;\n const globalMsgNum = dv.getUint16(offset, littleEndian);\n offset += 2;\n const numFields = dv.getUint8(offset++);\n if (offset + numFields * 3 > endOffset) return null;\n const fields: FieldDef[] = new Array(numFields);\n let recordSize = 0;\n for (let i = 0; i < numFields; i++) {\n const num = dv.getUint8(offset++);\n const size = dv.getUint8(offset++);\n const type = dv.getUint8(offset++);\n fields[i] = { num, size, type };\n recordSize += size;\n }\n defs[localNum] = { littleEndian, globalMsgNum, fields, recordSize };\n } else {\n const def = defs[localNum];\n if (!def || offset + def.recordSize > endOffset) return null;\n const le = def.littleEndian;\n const gNum = def.globalMsgNum;\n\n if (\n gNum === 20 &&\n def.fields.length === 10 &&\n def.recordSize === 25 &&\n def.fields[0].num === 253 &&\n def.fields[1].num === 0\n ) {\n const ts = dv.getUint32(offset, le);\n const rawLat = dv.getInt32(offset + 4, le);\n const rawLon = dv.getInt32(offset + 8, le);\n const rawAlt = dv.getUint16(offset + 12, le);\n const hr = dv.getUint8(offset + 14);\n const cad = dv.getUint8(offset + 15);\n const rawDist = dv.getUint32(offset + 16, le);\n const rawSpd = dv.getUint16(offset + 20, le);\n const power = dv.getUint16(offset + 22, le);\n const temp = dv.getInt8(offset + 24);\n records.push({\n timestamp: (ts + GARMIN_EPOCH_SEC) * 1000,\n position_lat: rawLat * SEMICIRCLE_TO_DEG,\n position_long: rawLon * SEMICIRCLE_TO_DEG,\n altitude: rawAlt / 5 - 500,\n heart_rate: hr,\n cadence: cad,\n distance: rawDist / 100,\n speed: (rawSpd / 1000) * 3.6,\n power,\n temperature: temp,\n });\n offset += 25;\n continue;\n }\n\n const msg: any = {};\n let fOff = offset;\n for (let i = 0; i < def.fields.length; i++) {\n const f = def.fields[i];\n let val: number = 0;\n const bType = f.type & 0x1f;\n if (f.size === 1) {\n val = bType === 1 ? dv.getInt8(fOff) : dv.getUint8(fOff);\n } else if (f.size === 2) {\n val = bType === 3 ? dv.getInt16(fOff, le) : dv.getUint16(fOff, le);\n } else if (f.size === 4) {\n val = bType === 5 ? dv.getInt32(fOff, le) : dv.getUint32(fOff, le);\n }\n msg[f.num] = val;\n fOff += f.size;\n }\n offset += def.recordSize;\n\n if (gNum === 0) {\n file_ids.push({\n type: msg[0] === 4 ? 'activity' : msg[0],\n manufacturer: msg[1] === 1 ? 'garmin' : msg[1],\n product: msg[2],\n time_created: msg[4] != null ? (msg[4] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n });\n } else if (gNum === 18) {\n const sportMap: Record = { 0: 'generic', 1: 'running', 2: 'cycling' };\n sessions.push({\n start_time: msg[2] != null ? (msg[2] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n sport: sportMap[msg[5]] ?? String(msg[5]),\n sub_sport: msg[6] === 0 ? 'generic' : String(msg[6]),\n });\n } else if (gNum === 20) {\n records.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n position_lat: msg[0] != null ? msg[0] * SEMICIRCLE_TO_DEG : undefined,\n position_long: msg[1] != null ? msg[1] * SEMICIRCLE_TO_DEG : undefined,\n altitude: msg[2] != null ? msg[2] / 5 - 500 : undefined,\n heart_rate: msg[3],\n cadence: msg[4],\n distance: msg[5] != null ? msg[5] / 100 : undefined,\n speed: msg[6] != null ? (msg[6] / 1000) * 3.6 : undefined,\n power: msg[7],\n temperature: msg[13],\n });\n } else if (gNum === 21) {\n const evName =\n msg[0] === 43\n ? 'rear_gear_change'\n : msg[0] === 42\n ? 'front_gear_change'\n : String(msg[0]);\n events.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n event: evName,\n event_type: msg[1] === 3 ? 'marker' : String(msg[1]),\n data: msg[3],\n front_gear_num: msg[9],\n rear_gear_num: msg[11],\n });\n } else if (gNum === 23) {\n device_infos.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n battery_level: msg[32],\n });\n } else {\n return null;\n }\n }\n }\n return { file_ids, sessions, sports: [], records, events, device_infos };\n }\n\n // \u2500\u2500 FIT parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseFIT(buf: ArrayBuffer): Promise {\n return new Promise((resolve, reject) => {\n const handleParsedFitData = (error: any, data: any) => {\n if (error) {\n reject(error);\n return;\n }\n try {\n const name = data.sessions?.[0]?.start_time\n ? `Fit Activity ${new Date(data.sessions[0].start_time).toISOString().split('T')[0]}`\n : 'Unnamed Fit';\n\n // Better device detection\n let device: string | null = null;\n const devices: DeviceInfo[] = [];\n let sport: string | null = null;\n let subSport: string | null = null;\n\n if (data.sports?.[0]) {\n sport = data.sports[0].sport;\n subSport = data.sports[0].sub_sport;\n } else if (data.sessions?.[0]) {\n sport = data.sessions[0].sport;\n subSport = data.sessions[0].sub_sport;\n }\n\n const getDeviceName = (d: any) =>\n d.product_name ||\n d.garmin_product ||\n d.product ||\n d.device_type ||\n d.manufacturer ||\n null;\n\n if (data.file_ids?.[0]) {\n const fid = data.file_ids[0];\n device = getDeviceName(fid);\n devices.push({\n name: fid.product_name || fid.garmin_product || fid.product,\n manufacturer: fid.manufacturer,\n serial: fid.serial_number ? String(fid.serial_number) : undefined,\n version: fid.software_version ? String(fid.software_version) : undefined,\n type: 'main',\n });\n }\n\n if (data.device_infos) {\n data.device_infos.forEach((d: any) => {\n const isMain = d.device_index === 'creator' || d.device_index === 0;\n\n if (isMain) {\n const name = getDeviceName(d);\n // Prefer a name with product_name or garmin_product over generic ones\n if (d.product_name || d.garmin_product || !device) device = name;\n\n // Update existing main device if needed\n if (devices.length > 0 && devices[0].type === 'main') {\n if (d.product_name || d.garmin_product || !devices[0].name)\n devices[0].name = d.product_name || d.garmin_product || d.product;\n\n if (!devices[0].manufacturer) devices[0].manufacturer = d.manufacturer;\n if (!devices[0].serial && d.serial_number)\n devices[0].serial = String(d.serial_number);\n if (!devices[0].version && d.software_version)\n devices[0].version = String(d.software_version);\n if (!devices[0].hardwareVersion && d.hardware_version)\n devices[0].hardwareVersion = String(d.hardware_version);\n }\n return;\n }\n\n devices.push({\n name: d.product_name || d.garmin_product || d.product || d.device_type || 'Sensor',\n manufacturer: d.manufacturer,\n serial: d.serial_number ? String(d.serial_number) : undefined,\n version: d.software_version ? String(d.software_version) : undefined,\n hardwareVersion: d.hardware_version ? String(d.hardware_version) : undefined,\n type: d.device_type || 'sensor',\n batteryStatus: d.battery_status,\n batteryVoltage: d.battery_voltage,\n batteryLevel: d.battery_level,\n sourceType: d.source_type != null ? String(d.source_type) : undefined,\n });\n });\n }\n\n if (data.sensor_settings) {\n data.sensor_settings.forEach((s: any) => {\n const name = s.name || s.product || s.sensor_type;\n if (!name) return;\n\n // Check if we already have this device (by ANT ID or name)\n const antId = s.ant_id ? String(s.ant_id) : undefined;\n const existing = devices.find(\n (d) =>\n (antId && d.serial === antId) ||\n (d.name === name && d.manufacturer === s.manufacturer),\n );\n\n if (existing) {\n if (!existing.name) existing.name = name;\n if (!existing.manufacturer) existing.manufacturer = s.manufacturer;\n if (!existing.type) existing.type = s.sensor_type;\n if (!existing.sourceType)\n existing.sourceType =\n s.connection_type != null ? String(s.connection_type) : undefined;\n } else {\n devices.push({\n name: name,\n manufacturer: s.manufacturer,\n serial: antId,\n type: s.sensor_type || 'sensor',\n sourceType: s.connection_type != null ? String(s.connection_type) : undefined,\n });\n }\n });\n }\n\n // Collect standalone device status reports (often contains head unit battery)\n // We'll store them in a sorted array for easier lookups\n const statusReports: { time: number; level: number | null; idx: number }[] = [];\n if (data.device_statuses) {\n data.device_statuses.forEach((s: any, idx: number) => {\n if (s.timestamp && s.battery_level != null) {\n statusReports.push({\n time:\n typeof s.timestamp === 'number' ? s.timestamp : new Date(s.timestamp).getTime(),\n level: s.battery_level,\n idx,\n });\n }\n });\n statusReports.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n // Collect gear events\n const gearEvents: {\n time: number;\n front: number | null;\n rear: number | null;\n frontTooth: number | null;\n rearTooth: number | null;\n idx: number;\n }[] = [];\n if (data.events) {\n data.events.forEach((e: any, idx: number) => {\n let front = e.front_gear_num ?? e.front_gear ?? null;\n let rear = e.rear_gear_num ?? e.rear_gear ?? null;\n let frontTooth = e.front_gear_num_tooth ?? null;\n let rearTooth = e.rear_gear_num_tooth ?? null;\n\n if (e.event === 'rear_gear_change' || e.event === 'front_gear_change') {\n const d = e.data;\n if (d != null) {\n const ft = (d >> 24) & 0xff;\n const fg = (d >> 16) & 0xff;\n const rt = (d >> 8) & 0xff;\n const rg = d & 0xff;\n\n if (fg !== 0) front = fg;\n if (ft !== 0) frontTooth = ft;\n if (rg !== 0) rear = rg;\n if (rt !== 0) rearTooth = rt;\n }\n }\n\n if (\n e.timestamp &&\n (front != null || rear != null || frontTooth != null || rearTooth != null)\n ) {\n gearEvents.push({\n time:\n typeof e.timestamp === 'number' ? e.timestamp : new Date(e.timestamp).getTime(),\n front,\n rear,\n frontTooth,\n rearTooth,\n idx,\n });\n }\n });\n gearEvents.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n const records = data.records || [];\n let lastBattery: number | null = null;\n let statusIdx = 0;\n let lastFrontGear: number | null = null;\n let lastRearGear: number | null = null;\n let lastFrontTooth: number | null = null;\n let lastRearTooth: number | null = null;\n let gearIdx = 0;\n\n const validPoints: TrackPoint[] = [];\n for (let ri = 0; ri < records.length; ri++) {\n const r = records[ri];\n const lat = r.position_lat;\n const lon = r.position_long;\n if (lat == null || lon == null) continue;\n\n const time =\n r.timestamp != null\n ? typeof r.timestamp === 'number'\n ? r.timestamp\n : r.timestamp instanceof Date\n ? r.timestamp.getTime()\n : new Date(r.timestamp).getTime()\n : null;\n const speed = r.speed != null ? r.speed / 3.6 : null; // km/h \u2192 m/s\n\n let battery = r.battery_level ?? null;\n\n // If not in record, check our status reports\n if (battery == null && time) {\n // Catch up statusIdx to current time\n while (statusIdx < statusReports.length && statusReports[statusIdx].time <= time) {\n lastBattery = statusReports[statusIdx].level;\n statusIdx++;\n }\n battery = lastBattery;\n } else if (battery != null) {\n lastBattery = battery;\n }\n\n // Update gear state from events\n if (time) {\n while (gearIdx < gearEvents.length && gearEvents[gearIdx].time <= time) {\n const e = gearEvents[gearIdx];\n if (e.front != null) lastFrontGear = e.front;\n if (e.rear != null) lastRearGear = e.rear;\n if (e.frontTooth != null) lastFrontTooth = e.frontTooth;\n if (e.rearTooth != null) lastRearTooth = e.rearTooth;\n gearIdx++;\n }\n }\n\n const gearFront: number | null = r.front_gear_num ?? r.front_gear ?? lastFrontGear;\n const gearRear: number | null = r.rear_gear_num ?? r.rear_gear ?? lastRearGear;\n const gearFrontTooth: number | null = r.front_gear_num_tooth ?? lastFrontTooth;\n const gearRearTooth: number | null = r.rear_gear_num_tooth ?? lastRearTooth;\n\n if (r.front_gear_num != null || r.front_gear != null) lastFrontGear = gearFront;\n if (r.rear_gear_num != null || r.rear_gear != null) lastRearGear = gearRear;\n if (r.front_gear_num_tooth != null) lastFrontTooth = gearFrontTooth;\n if (r.rear_gear_num_tooth != null) lastRearTooth = gearRearTooth;\n\n const gears =\n gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0\n ? gearFrontTooth / gearRearTooth\n : null;\n\n validPoints.push({\n lat,\n lon,\n ele: r.altitude ?? r.enhanced_altitude ?? null,\n time,\n hr: r.heart_rate ?? null,\n cad: r.cadence ?? null,\n power: r.power ?? null,\n speed,\n temp: r.temperature ?? null,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!validPoints.length) {\n reject(new Error('FIT file has no GPS points'));\n return;\n }\n\n const pts = enrichPoints(validPoints);\n const stats = computeStats(pts);\n resolve({ name, device, devices, format: 'fit', points: pts, stats, sport, subSport });\n } catch (ex) {\n reject(ex);\n }\n };\n\n const fastData = fastDecodeFitData(buf);\n if (fastData) {\n handleParsedFitData(null, fastData);\n return;\n }\n\n const fitParser = new FitParser({\n force: true,\n speedUnit: 'km/h',\n lengthUnit: 'm',\n temperatureUnit: 'celsius',\n elapsedRecordField: true,\n });\n\n fitParser.parse(buf, handleParsedFitData);\n });\n }\n\n // \u2500\u2500 KML parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseKML(buf: ArrayBuffer): any {\n const text = new TextDecoder().decode(buf);\n const doc = new DOMParser().parseFromString(text, 'application/xml');\n\n let name = 'Unnamed Track';\n const nameEl = doc.querySelector('Document > name, Placemark > name');\n if (nameEl) name = nameEl.textContent?.trim() || name;\n\n // Track: look for gx:Track or LineString\n const coordEls = doc.querySelectorAll('coordinates');\n if (!coordEls.length) throw new Error('No coordinates found in KML');\n\n const points: TrackPoint[] = [];\n coordEls.forEach((el) => {\n const lines = el.textContent?.trim().split(/\\s+/) || [];\n lines.forEach((line) => {\n const parts = line.split(',');\n if (parts.length < 2) return;\n const lon = parseFloat(parts[0]);\n const lat = parseFloat(parts[1]);\n const ele = parts.length > 2 ? parseFloat(parts[2]) : null;\n if (isNaN(lat) || isNaN(lon)) return;\n points.push({\n lat,\n lon,\n ele: ele != null && isNaN(ele) ? null : ele,\n time: null,\n hr: null,\n cad: null,\n power: null,\n speed: null,\n temp: null,\n gearFront: null,\n gearRear: null,\n gearFrontTooth: null,\n gearRearTooth: null,\n battery: null,\n gears: null,\n });\n });\n });\n\n if (!points.length) throw new Error('No valid coordinates in KML');\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, format: 'kml', points: pts, stats };\n }\n\n // \u2500\u2500 Public: dispatch by extension \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n async function parseFile(file: File): Promise {\n const ext = file.name.split('.').pop()?.toLowerCase();\n const buf: ArrayBuffer = (file as any)._buf ?? (await file.arrayBuffer());\n const predecodedText: string | undefined = (file as any)._text;\n let result: any;\n switch (ext) {\n case 'gpx':\n result = parseGPX(buf, predecodedText);\n break;\n case 'tcx':\n result = parseTCX(buf, predecodedText);\n break;\n case 'fit':\n result = await parseFIT(buf);\n break;\n case 'kml':\n result = parseKML(buf);\n break;\n default:\n throw new Error(`Unsupported format: .${ext}`);\n }\n\n if (result) {\n result.fileName = file.name;\n result.fileSize = file.size;\n }\n return result;\n }\n\n return {\n parseFile,\n computeStats,\n ensureCurvesAndZones,\n calculatePowerCurve,\n calculateHRCurve,\n calculatePowerZones,\n calculateHRZones,\n enrichPoints,\n setHRZones,\n getHRZones,\n setFTP,\n getFTP,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number {\n const R = 6371e3; // Earth radius in metres\n const phi1 = (lat1 * Math.PI) / 180;\n const phi2 = (lat2 * Math.PI) / 180;\n const deltaPhi = ((lat2 - lat1) * Math.PI) / 180;\n const deltaLambda = ((lon2 - lon1) * Math.PI) / 180;\n\n const a =\n Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) +\n Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2);\n const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n\n return R * c;\n}\n\nexport function compactId(timestamp: number): string {\n // Use a compact representation of the timestamp (seconds since epoch)\n // 1712650000 -> Base64\n const buf = new Uint32Array([Math.floor(timestamp / 1000)]);\n const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer)));\n return b64.replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n}\n\nexport function generateId(): string {\n return Math.random().toString(36).slice(2, 10);\n}\n\nexport function shortRandom(): string {\n return Math.random().toString(36).slice(2, 6);\n}\n\nexport function fmtDuration(s: number): string {\n if (s < 60) return `${Math.round(s)}s`;\n if (s < 3600) return `${Math.round(s / 60)}m`;\n return `${Math.round(s / 3600)}h`;\n}\n\nexport function fmtSecs(s: number): string {\n const h = Math.floor(s / 3600),\n m = Math.floor((s % 3600) / 60);\n return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`;\n}\n\nexport function fmtPace(seconds: number | null): string {\n if (seconds == null || !isFinite(seconds)) return '--';\n const mins = Math.floor(seconds / 60);\n const secs = Math.round(seconds % 60);\n return `${mins}:${secs.toString().padStart(2, '0')}`;\n}\n\nexport function fmtDate(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown date';\n return d.toISOString().split('T')[0];\n}\n\nexport function fmtDateTime(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown';\n const iso = d.toISOString();\n return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`;\n}\n\nexport function fmtFileSize(bytes: number): string {\n if (bytes === 0) return '0 B';\n const k = 1024;\n const sizes = ['B', 'KB', 'MB', 'GB'];\n const i = Math.floor(Math.log(bytes) / Math.log(k));\n return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\nexport function escHtml(str: string): string {\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"');\n}\n\nexport function getTagColor(name: string): string {\n let hash = 0;\n for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash);\n\n const h = Math.abs(hash % 360);\n return `hsl(${h}, 70%, 65%)`;\n}\n\n/**\n * Smoothes a numeric array using a simple Gaussian kernel.\n * sigma: standard deviation (radius of smoothing)\n */\nexport function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] {\n if (sigma <= 0) return data;\n\n const size = Math.ceil(sigma * 3) * 2 + 1;\n const kernel = new Float32Array(size);\n const half = Math.floor(size / 2);\n let sum = 0;\n\n for (let i = 0; i < size; i++) {\n const x = i - half;\n kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma));\n sum += kernel[i];\n }\n for (let i = 0; i < size; i++) kernel[i] /= sum;\n\n const result: (number | null)[] = new Array(data.length);\n for (let i = 0; i < data.length; i++) {\n if (data[i] === null) {\n result[i] = null;\n continue;\n }\n\n let val = 0;\n let weightSum = 0;\n for (let k = 0; k < size; k++) {\n const idx = i + k - half;\n if (idx >= 0 && idx < data.length && data[idx] !== null) {\n val += data[idx]! * kernel[k];\n weightSum += kernel[k];\n }\n }\n result[i] = weightSum > 0 ? val / weightSum : data[i];\n }\n return result;\n}\n\nexport function hexToRgba(hex: string, alpha: number = 1): string {\n const r = parseInt(hex.slice(1, 3), 16);\n const g = parseInt(hex.slice(3, 5), 16);\n const b = parseInt(hex.slice(5, 7), 16);\n return `rgba(${r}, ${g}, ${b}, ${alpha})`;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, TrackPoint } from './parsers';\n\nexport const MapView = (() => {\n let trackData: Record = {};\n let customClickHandler: ((e: any) => boolean) | null = null;\n\n function init(\n onSelectCb: (id: string) => void,\n onMoveCb: (lat: number, lng: number, zoom: number) => void,\n onPointClickCb: (id: string, idx: number) => void,\n onPointHoverCb: (id: string | null, idx: number | null) => void,\n onDblClickCb: () => void,\n ) {}\n\n function switchBasemap(layer: string) {}\n function addTrack(t: TrackData) {\n trackData[t.id] = t;\n }\n function addTracks(ts: TrackData[]) {\n ts.forEach((t) => {\n trackData[t.id] = t;\n });\n }\n function removeTrack(id: string) {\n delete trackData[id];\n }\n function clearTracks() {\n trackData = {};\n }\n function removeAllTracks() {\n trackData = {};\n }\n function setTrackVisible(id: string, visible: boolean) {}\n function setSelectedTrack(id: string | null, fit: boolean) {}\n function fitAll() {}\n function fitTrack(id: string) {}\n function showCursorAt(lat: number, lon: number) {}\n function hideCursor() {}\n function highlightSegment(\n id: string | null,\n pts: TrackPoint[],\n start: number,\n end: number,\n fit?: boolean,\n colors?: string[] | null,\n ) {}\n function clearHighlight() {}\n function setTrackHover(id: string, hover: boolean) {}\n function ensureVisible(pts: any) {}\n function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {}\n function closePopup() {}\n function invalidateSize() {}\n function getPosition(): [number, number, number] {\n return [0, 0, 0];\n }\n function setPosition(lat: number, lng: number, zoom: number) {}\n function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {}\n function clearMetricColor(id: string) {}\n\n function findTracksPassingThroughPoints(\n points: { lat: number; lng: number }[],\n radius: number,\n ): string[] {\n return Object.keys(trackData);\n }\n\n return {\n init,\n getMap: () => null as any,\n setCustomClickHandler: (handler: any) => {\n customClickHandler = handler;\n },\n switchBasemap,\n addTrack,\n addTracks,\n removeTrack,\n clearTracks,\n removeAllTracks,\n setTrackVisible,\n setSelectedTrack,\n fitAll,\n fitTrack,\n showCursorAt,\n hideCursor,\n highlightSegment,\n clearHighlight,\n setTrackHover,\n ensureVisible,\n centerOn,\n closePopup,\n invalidateSize,\n getPosition,\n setPosition,\n colorTrackByMetric,\n clearMetricColor,\n findTracksPassingThroughPoints,\n getTrackData: (id: string) => trackData[id],\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackPoint, TrackStats, TrackData } from './parsers';\nimport { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils';\nimport { Zones } from './zones';\nimport { METRICS, MetricDefinition } from './metrics';\nimport { UrlState } from './url-state';\nimport { SPORTS } from './sports';\n\n// Augment uPlot to include our custom property\n\ninterface WegPlot extends uPlot {\n _strasse?: {\n selFill: HTMLElement;\n anchorLine: HTMLElement;\n anchorLabel: HTMLElement;\n anchorHandle: HTMLElement;\n anchorMarker: HTMLElement;\n endLine: HTMLElement;\n endLabel: HTMLElement;\n endHandle: HTMLElement;\n endMarker: HTMLElement;\n curYVal: HTMLElement;\n updateHeaderStats: (min: number, max: number) => void;\n };\n}\n\ninterface PlotData {\n uplot: WegPlot;\n row: HTMLDivElement;\n xData: number[];\n yData: (number | null)[];\n def: MetricDefinition;\n metricKey: string;\n statsTotalEl: HTMLDivElement;\n statsSelEl: HTMLDivElement;\n histCol: HTMLDivElement;\n histCanvas: HTMLCanvasElement;\n histData: HistData;\n hoveredHistY: number | null;\n pinnedHistY: number | null;\n smoothed?: boolean;\n incZero?: boolean;\n w?: number;\n}\n\ninterface HistData {\n yData: (number | null)[];\n xData: number[];\n def: MetricDefinition;\n BINS: number;\n plot?: PlotData;\n bins?: number[];\n binAccum?: number[];\n min?: number;\n max?: number;\n padL?: number;\n selBins?: number[] | null;\n selBinAccum?: number[] | null;\n _lastYData?: any;\n _lastSelRange?: [number, number] | null;\n fullStats?: { min: number; max: number; avg: number } | null;\n fullStatsAll?: { min: number; max: number; avg: number } | null;\n}\n\nexport const ChartView = (() => {\n let plots: PlotData[] = [];\n let renderedTrack: TrackData | null = null;\n let renderedXAxis: string = 'time';\n let renderedSpeedMode: string = 'speed';\n let renderedMapColorMetric: string | null = null;\n let syncKey: {\n key: string;\n sub: (u: uPlot) => void;\n unsub: (u: uPlot) => void;\n pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void;\n } | null = null;\n let scaleSyncing: boolean = false;\n let cursorSyncing: boolean = false;\n let activeMetrics: Set = new Set(['elevation']);\n let availableMetrics: Set = new Set();\n let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']);\n let metricsIncludingZero: Set = new Set(['power']);\n let xAxis: string = 'time';\n let currentTrack: TrackData | null = null;\n let allTracks: TrackData[] = [];\n\n // Selection / anchor\n let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge\n let selEndVal: number | null = null; // x-value at zoom right edge\n let isDragging: boolean = false;\n let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag\n let pinnedPtIdx: number | null = null; // point index pinned by map click\n let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center\n let lastHistMouseEvent: MouseEvent | null = null;\n let hoveredHistData: HistData | null = null;\n let hoveredHistCanvas: HTMLCanvasElement | null = null;\n\n let currentXRange: [number, number] | null = null; // [min, max] currently rendered\n let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation\n let animId: number | null = null;\n\n // Callbacks\n let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null;\n let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null =\n null;\n let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null;\n let onPinChangeCb: ((idx: number | null) => void) | null = null;\n\n const HIST_W: number = 130;\n const ROW_BODY_PADDING: number = 28; // 14px left + 14px right\n const HIST_GAP: number = 20; // margin-left on .hist-col\n let statsVisible: boolean = true;\n let histTooltipEl: HTMLElement | null = null;\n let container: HTMLElement | null = null;\n let emptyEl: HTMLElement | null = null;\n let selStatsEl: HTMLElement | null = null;\n let resetSelBtn: HTMLElement | null = null;\n let mapColorMetric: string | null = null;\n let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null =\n null;\n\n // \u2500\u2500 Init \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function init(\n onCursorMove: (pt: TrackPoint | null) => void,\n onRangeChange: (min: number | null, max: number | null, axis: string) => void,\n onClick: (pt: TrackPoint, idx: number) => void,\n onPinChange: (idx: number | null) => void,\n ) {\n onCursorMoveCb = onCursorMove;\n onRangeChangeCb = onRangeChange;\n onClickCb = onClick;\n onPinChangeCb = onPinChange;\n container = document.getElementById('charts-container');\n container?.addEventListener('scroll', () => {\n if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData)\n updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData);\n });\n emptyEl = document.getElementById('chart-empty');\n selStatsEl = document.getElementById('chart-stats-sel');\n resetSelBtn = document.getElementById('btn-reset-selection');\n histTooltipEl = document.getElementById('hist-tooltip');\n syncKey = uPlot.sync('strasse-sync');\n\n document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection);\n resetSelBtn?.classList.add('hidden');\n\n // \u2500\u2500 WASD Keyboard Navigation \u2500\u2500\n const navKeys = new Set(['w', 'a', 's', 'd']);\n const activeNavKeys = new Set();\n\n document.addEventListener('keydown', (e) => {\n if (!plots.length || !currentTrack) return;\n if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return;\n\n const key = e.key.toLowerCase();\n if (!navKeys.has(key)) return;\n\n e.preventDefault();\n activeNavKeys.add(key);\n\n const u = plots[0].uplot;\n if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!];\n\n let [min, max] = targetXRange;\n const span = max - min;\n const moveStep = span * 0.1;\n const zoomFactor = 0.15;\n\n let newMin = min,\n newMax = max;\n\n if (key === 'a') {\n // Pan left\n newMin = min - moveStep;\n newMax = max - moveStep;\n } else if (key === 'd') {\n // Pan right\n newMin = min + moveStep;\n newMax = max + moveStep;\n } else if (key === 'w' || key === 's') {\n // Zoom\n const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2;\n const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2;\n newMin = center - (center - min) * factor;\n newMax = center + (max - center) * factor;\n }\n\n // Clamp to track bounds\n const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!];\n if (newMin < xFull[0]) {\n const d = xFull[0] - newMin;\n newMin += d;\n newMax += d;\n }\n if (newMax > xFull[1]) {\n const d = newMax - xFull[1];\n newMin -= d;\n newMax -= d;\n }\n newMin = Math.max(xFull[0], newMin);\n newMax = Math.min(xFull[1], newMax);\n\n if (newMax - newMin > 0.001) {\n targetXRange = [newMin, newMax];\n setVisibleRange(newMin, newMax, true); // true = animate\n }\n });\n\n document.addEventListener('keyup', (e) => {\n const key = e.key.toLowerCase();\n if (navKeys.has(key)) activeNavKeys.delete(key);\n });\n }\n\n function setVisibleRange(min: number, max: number, animate = false) {\n if (!plots.length) return;\n if (!animate) {\n plots.forEach(({ uplot: u }) => u.setScale('x', { min, max }));\n return;\n }\n\n const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number;\n const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number;\n\n if (animId) cancelAnimationFrame(animId);\n\n const lerp = (a: number, b: number, t: number) => a + (b - a) * t;\n const factor = 0.25; // Smoothing factor\n\n const step = () => {\n if (!targetXRange) return;\n const [tMin, tMax] = targetXRange;\n\n const cMin = lerp(currentXRange![0], tMin, factor);\n const cMax = lerp(currentXRange![1], tMax, factor);\n\n plots.forEach(({ uplot: u }) => {\n u.setScale('x', { min: cMin, max: cMax });\n });\n\n if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001)\n animId = requestAnimationFrame(step);\n else animId = null;\n };\n animId = requestAnimationFrame(step);\n }\n\n // \u2500\u2500 Public API \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n allTracks = others;\n\n // Detect which metrics are available in this file\n availableMetrics = new Set(\n Object.entries(METRICS)\n .filter(([, def]) => track.points.some((p) => p[def.field] != null))\n .map(([key]) => key),\n );\n\n // If no metrics are active (e.g. first load), default to core overview metrics\n if (activeMetrics.size === 0) {\n activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m)));\n }\n\n // Sync the pill buttons in the toolbar\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n const metric = pill.dataset.metric!;\n const isAvailable = availableMetrics.has(metric);\n pill.classList.toggle('active', isAvailable && activeMetrics.has(metric));\n pill.classList.toggle('disabled', !isAvailable);\n });\n\n currentTrack = track;\n if (deferRender) {\n updateStats(track);\n } else {\n render();\n }\n }\n\n function clear() {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n currentTrack = null;\n destroyPlots();\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
Select a track to view analysis
\n `;\n }\n const chartStats = document.getElementById('chart-stats');\n if (chartStats) chartStats.classList.add('hidden');\n clearSelectionStats();\n mapColorMetric = null;\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n }\n\n function resetState() {\n if (animId !== null) {\n cancelAnimationFrame(animId);\n animId = null;\n }\n activeMetrics = new Set(['elevation']);\n availableMetrics = new Set();\n smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']);\n metricsIncludingZero = new Set(['power']);\n xAxis = 'time';\n allTracks = [];\n currentXRange = null;\n targetXRange = null;\n lastMouseXVal = null;\n lastHistMouseEvent = null;\n hoveredHistData = null;\n hoveredHistCanvas = null;\n statsVisible = true;\n clear();\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n pill.classList.remove('disabled', 'overflow-hidden');\n });\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.add('hidden');\n const toolbar = document.getElementById('chart-toolbar');\n if (toolbar) toolbar.classList.remove('collapsed');\n document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time');\n });\n }\n\n function toggleMetric(key: string) {\n if (activeMetrics.has(key)) activeMetrics.delete(key);\n else activeMetrics.add(key);\n if (currentTrack) render(true);\n }\n\n function setActiveMetrics(keys: string[]) {\n activeMetrics = new Set(keys);\n if (currentTrack) render(true);\n // Sync the pill buttons\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n });\n }\n\n function setXAxis(axis: string) {\n if (xAxis === axis || !currentTrack) {\n xAxis = axis;\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n\n // Helper to convert a value from OLD axis to NEW axis\n const convert = (val: number | null) => {\n if (val === null) return null;\n // We need to find the point index closest to 'val' on the OLD axis\n let idx = 0;\n if (xAxis === 'distance') {\n const dTarget = val * 1000;\n idx = pts.findIndex((p) => (p.dist || 0) >= dTarget);\n } else {\n const tTarget = t0 + val * 1000;\n idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n }\n if (idx === -1) idx = pts.length - 1;\n\n // Now get the value at this index on the NEW axis\n if (axis === 'distance') return (pts[idx].dist || 0) / 1000;\n else return ((pts[idx].time || t0) - t0) / 1000;\n };\n\n // Convert selection\n if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal);\n if (selEndVal !== null) selEndVal = convert(selEndVal);\n\n // Convert zoom range (from first plot)\n let newRange: [number, number] | null = null;\n if (plots.length) {\n const u = plots[0].uplot;\n const r0 = convert(u.scales.x!.min!);\n const r1 = convert(u.scales.x!.max!);\n if (r0 !== null && r1 !== null) newRange = [r0, r1];\n }\n\n xAxis = axis;\n render(true);\n\n // Apply converted zoom\n if (newRange) {\n scaleSyncing = true;\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] }));\n });\n scaleSyncing = false;\n }\n }\n\n function toggleStats() {\n statsVisible = !statsVisible;\n plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible));\n resize();\n }\n\n function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) {\n onMapColorChangeCb = cb;\n }\n\n function toggleMapColor(key: string | null) {\n if (mapColorMetric === key || key === null) {\n mapColorMetric = null;\n _updateMapColorBtns();\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n } else {\n mapColorMetric = key;\n _updateMapColorBtns();\n _fireMapColorCb();\n }\n // Re-render to show/hide colored fills on the graphs\n if (currentTrack) render(true);\n }\n\n function _updateMapColorBtns() {\n document.querySelectorAll('.map-color-btn').forEach((el) => {\n const b = el as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === mapColorMetric);\n });\n }\n\n function _fireMapColorCb() {\n if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return;\n const plot = plots.find((p) => p.metricKey === mapColorMetric);\n if (!plot) return;\n const colors = _computePointColors(mapColorMetric, plot.yData);\n onMapColorChangeCb({ pts: currentTrack.points, colors });\n }\n\n function _computePointColors(key: string, yData: (number | null)[]): string[] {\n const vals = yData.filter((v): v is number => v != null && isFinite(v));\n if (!vals.length) return yData.map(() => '#888896');\n const min = Math.min(...vals),\n max = Math.max(...vals);\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n return yData.map((v) => {\n if (v == null || !isFinite(v)) return '#888896';\n if (key === 'gradient') return gradientColor(v);\n if (key === 'speed') {\n if (speedMode === 'pace') {\n const speed = (paceUnit === 'km' ? 1000 : 100) / v;\n return speedColor(speed);\n }\n return speedColor(v);\n }\n const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min)));\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25);\n if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25);\n if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25);\n return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25);\n });\n }\n\n function resetZoom() {\n cancelSelection();\n }\n\n function cancelSelection() {\n selAnchorVal = null;\n selEndVal = null;\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n\n // Reset individual histogram pins\n plots.forEach((p) => {\n p.pinnedHistY = null;\n });\n\n updateSelOverlay();\n redrawHistograms();\n\n // Perform the actual zoom reset\n scaleSyncing = true;\n plots.forEach(({ uplot: u, xData }) => {\n u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! }));\n u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!);\n });\n scaleSyncing = false;\n\n if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis);\n }\n\n function setSelectionStats(stats: TrackStats) {\n if (!selStatsEl) return;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt(\n 'sel-distance',\n stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '\u2014',\n );\n fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '\u2014');\n fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '\u2014');\n fmt(\n 'sel-avg-speed',\n stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014',\n );\n fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '\u2014');\n fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '\u2014');\n fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n selStatsEl.classList.remove('hidden');\n if (resetSelBtn) resetSelBtn.classList.remove('hidden');\n }\n\n function clearSelectionStats() {\n if (selStatsEl) selStatsEl.classList.add('hidden');\n if (resetSelBtn) resetSelBtn.classList.add('hidden');\n [\n 'sel-distance',\n 'sel-duration',\n 'sel-elevation',\n 'sel-avg-speed',\n 'sel-avg-power',\n 'sel-avg-hr',\n 'sel-avg-temp',\n ].forEach((id) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = '--';\n });\n }\n\n // Called on boot to restore a saved selection without re-firing onRangeChangeCb\n // xMin/xMax are ALWAYS provided in Time (seconds from start)\n function restoreSelection(tMin: number, tMax: number, deferRender = false) {\n if (!currentTrack) return;\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000;\n\n // If values look like absolute timestamps in ms, convert to seconds from start\n if (tMin > 1e12) tMin = (tMin - t0) / 1000;\n if (tMax > 1e12) tMax = (tMax - t0) / 1000;\n\n // Crop to max limits of the track\n tMin = Math.max(0, Math.min(tMin, totalDuration));\n tMax = Math.max(0, Math.min(tMax, totalDuration));\n\n const convert = (tOffset: number) => {\n if (xAxis === 'time') return tOffset;\n const tTarget = t0 + tOffset * 1000;\n let idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n if (idx === -1) idx = pts.length - 1;\n return (pts[idx].dist || 0) / 1000;\n };\n\n const xMin = convert(tMin);\n const xMax = convert(tMax);\n\n selAnchorVal = xMin;\n selEndVal = xMax;\n currentXRange = [xMin, xMax];\n if (deferRender) return;\n scaleSyncing = true; // suppress the setScale \u2192 onRangeChangeCb loop\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: xMin, max: xMax }));\n });\n scaleSyncing = false;\n updateAnchorLines();\n redrawHistograms();\n }\n\n function resize() {\n if (!plots.length || !container) return;\n const w = Math.round(\n Math.max(\n 100,\n container.getBoundingClientRect().width -\n ROW_BODY_PADDING -\n (statsVisible ? HIST_W + HIST_GAP : 0),\n ),\n );\n let anyResized = false;\n plots.forEach(({ uplot: u, histCanvas, histData }) => {\n if (w !== u.width) {\n u.setSize({ width: w, height: u.height });\n anyResized = true;\n if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height);\n }\n });\n if (anyResized) updateSelOverlay();\n }\n\n // \u2500\u2500 Render \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function render(keepState = false) {\n let savedRange: [number, number] | null = null;\n let savedScroll = 0;\n if (keepState && container) savedScroll = container.scrollTop;\n\n if (keepState && currentXRange) {\n savedRange = [currentXRange[0], currentXRange[1]];\n } else if (keepState && plots.length) {\n const u = plots[0].uplot;\n savedRange = [u.scales.x!.min!, u.scales.x!.max!];\n }\n\n if (!currentTrack) {\n destroyPlots(keepState);\n return;\n }\n const pts = currentTrack.points;\n if (!pts.length) {\n destroyPlots(keepState);\n return;\n }\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n const available = [...activeMetrics].filter((m) =>\n pts.some((p) => p[METRICS[m].field] != null),\n );\n if (!available.length) {\n destroyPlots(keepState);\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
No data for selected metrics
\n `;\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n\n const containerW = container ? container.getBoundingClientRect().width : 800;\n const w = Math.round(\n Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)),\n );\n\n const canReuse =\n keepState &&\n renderedTrack === currentTrack &&\n renderedXAxis === xAxis &&\n renderedSpeedMode === speedMode &&\n renderedMapColorMetric === mapColorMetric &&\n plots.length > 0;\n\n let xData: (number | null)[];\n if (canReuse) {\n xData = plots[0].xData;\n } else if (xAxis === 'distance') {\n xData = pts.map((p) => (p.dist || 0) / 1000);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n let lastValidX = 0;\n xData = pts.map((p) => {\n if (p.time != null) {\n lastValidX = (p.time - t0) / 1000;\n return lastValidX;\n }\n return lastValidX; // monotonic fallback\n });\n }\n\n const existingByKey = new Map();\n if (canReuse) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const availSet = new Set(available);\n for (const p of plots) {\n const isSmoothed = smoothedMetrics.has(p.metricKey);\n const isIncZero = metricsIncludingZero.has(p.metricKey);\n if (\n availSet.has(p.metricKey) &&\n p.smoothed === isSmoothed &&\n p.incZero === isIncZero &&\n p.w === w\n ) {\n existingByKey.set(p.metricKey, p);\n } else {\n syncKey!.unsub(p.uplot);\n p.uplot.destroy();\n p.row.remove();\n }\n }\n plots = [];\n } else {\n destroyPlots(keepState);\n }\n\n if (container) {\n const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null);\n let nextExisting: HTMLElement | null = null;\n for (let i = available.length - 1; i >= 0; i--) {\n nextSiblingRows[i] = nextExisting;\n const ex = existingByKey.get(available[i]);\n if (ex) nextExisting = ex.row;\n }\n\n available.forEach((key, idx) => {\n const reused = existingByKey.get(key);\n if (reused) {\n plots.push(reused);\n const uplot = reused.uplot;\n const s = (uplot as any)._strasse;\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n uplot.batch(() => {\n if (\n savedRange &&\n (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1])\n ) {\n uplot.setScale('x', { min: savedRange[0], max: savedRange[1] });\n } else {\n s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot);\n uplot.redraw(false);\n }\n });\n scaleSyncing = prevSync;\n\n let initHoverBinI: number | null = null;\n if (\n pinnedPtIdx != null &&\n reused.xData[pinnedPtIdx] != null &&\n reused.yData[pinnedPtIdx] != null\n ) {\n buildHistBins(reused.histData);\n if (reused.histData.min != null && reused.histData.max != null) {\n const span = reused.histData.max - reused.histData.min || 1;\n initHoverBinI = Math.min(\n reused.histData.BINS - 1,\n Math.floor(\n ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) *\n reused.histData.BINS,\n ),\n );\n reused.hoveredHistY = reused.yData[pinnedPtIdx];\n }\n }\n drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI);\n return;\n }\n\n let def = METRICS[key];\n\n let transform = def.transform;\n let fmt = def.fmt;\n let fmtAxis = def.fmtAxis;\n let unit = def.unit;\n let label = def.label;\n\n if (key === 'speed' && speedMode === 'pace') {\n label = 'Pace';\n unit = `min/${paceUnit}`;\n fmt = (v) => fmtPace(v);\n fmtAxis = (v) => fmtPace(v);\n transform = (v) => {\n if (v == null || v < 0.1) return null;\n return (paceUnit === 'km' ? 1000 : 100) / v;\n };\n\n def = { ...def, label, unit, fmt, fmtAxis, transform };\n }\n\n let yData = def.compute\n ? def.compute(pts, fillNulls)\n : fillNulls(\n pts.map((p) => {\n const v = p[def.field] as number;\n return v != null && transform ? transform(v) : v;\n }),\n );\n\n if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2);\n\n createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]);\n });\n }\n\n renderedTrack = currentTrack;\n renderedXAxis = xAxis;\n renderedSpeedMode = speedMode;\n renderedMapColorMetric = mapColorMetric;\n\n updateStats(currentTrack);\n // Restore anchor/end lines if a selection was active\n if (selAnchorVal != null && selEndVal != null) updateAnchorLines();\n // Re-apply map color if active\n _updateMapColorBtns();\n if (mapColorMetric) _fireMapColorCb();\n\n if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll;\n }\n\n // \u2500\u2500 Create one chart row \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function createChart(\n metricKey: string,\n def: MetricDefinition,\n xData: (number | null)[],\n yData: (number | null)[],\n w: number,\n pts: TrackPoint[],\n initialRange: [number, number] | null = null,\n insertBeforeEl: HTMLElement | null = null,\n ) {\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n\n // Gradient data: smooth over a 20 m distance window (\u00B110 m each side)\n const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null;\n const row = document.createElement('div');\n row.className = 'chart-row';\n row.dataset.metric = metricKey;\n row.style.setProperty('--chart-color', def.color);\n\n // Header\n const header = document.createElement('div');\n header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`;\n\n const labelEl = document.createElement('div');\n labelEl.className = 'chart-row-label-group';\n labelEl.innerHTML = `\n ${def.icon}\n ${def.label}\n `;\n\n // Smoothing toggle\n const smoothBtn = document.createElement('button');\n smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`;\n smoothBtn.title = 'Toggle data smoothing';\n smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`;\n smoothBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey);\n else smoothedMetrics.add(metricKey);\n\n render(true); // Re-render all charts to keep sync if needed (though only this one changes data)\n });\n\n const mapColorBtn = document.createElement('button');\n\n mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`;\n mapColorBtn.dataset.metric = metricKey;\n mapColorBtn.title = 'Color map track by this metric';\n mapColorBtn.innerHTML = 'colorize';\n mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey));\n\n // Zero-filter toggle (Cadence/Power/Speed)\n let zeroBtn: HTMLButtonElement | null = null;\n if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') {\n zeroBtn = document.createElement('button');\n const incZero = metricsIncludingZero.has(metricKey);\n zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`;\n zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values';\n zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`;\n zeroBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey);\n else metricsIncludingZero.add(metricKey);\n render(true);\n });\n }\n\n const statsTotalEl = document.createElement('div');\n statsTotalEl.className = 'chart-stats-total';\n\n const statsSelEl = document.createElement('div');\n statsSelEl.className = 'chart-stats-selection';\n\n const statsContainer = document.createElement('div');\n statsContainer.className = 'chart-row-stats-container';\n statsContainer.append(statsTotalEl, statsSelEl);\n\n const actionsEl = document.createElement('div');\n actionsEl.className = 'chart-row-actions';\n actionsEl.append(smoothBtn, mapColorBtn);\n\n const rightActionsEl = document.createElement('div');\n rightActionsEl.className = 'chart-row-right-actions';\n\n if (metricKey === 'speed') {\n const paceToggle = document.createElement('div');\n paceToggle.className = 'seg-ctrl';\n paceToggle.innerHTML = `\n \n \n `;\n paceToggle.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const mode = btn.dataset.mode;\n if (mode === 'speed' || mode === 'pace') {\n const isDefault = mode === defaultMode;\n UrlState.patch({ speed_mode: isDefault ? null : mode });\n render(true);\n }\n });\n rightActionsEl.append(paceToggle);\n }\n\n if (zeroBtn) rightActionsEl.append(zeroBtn);\n\n header.append(labelEl, actionsEl, statsContainer, rightActionsEl);\n\n const rowBody = document.createElement('div');\n rowBody.className = 'chart-row-body';\n\n const plotEl = document.createElement('div');\n plotEl.style.position = 'relative';\n rowBody.appendChild(plotEl);\n\n const fixedMinLabel = document.createElement('div');\n fixedMinLabel.className = 'fixed-x-label fixed-x-min';\n const fixedMaxLabel = document.createElement('div');\n fixedMaxLabel.className = 'fixed-x-label fixed-x-max';\n plotEl.append(fixedMinLabel, fixedMaxLabel);\n\n const histCol = document.createElement('div');\n histCol.className = `hist-col${statsVisible ? ' visible' : ''}`;\n const histCanvas = document.createElement('canvas');\n histCanvas.className = 'hist-canvas';\n histCol.appendChild(histCanvas);\n rowBody.appendChild(histCol);\n\n row.append(header, rowBody);\n\n const isDistAxis = xAxis === 'distance';\n\n function formatX(v: number, range: number): string {\n if (v == null) return '';\n if (isDistAxis) {\n const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0;\n return `${v.toFixed(dec)} km`;\n } else {\n const absV = Math.abs(v);\n const h = Math.floor(absV / 3600);\n const m = Math.floor((absV % 3600) / 60);\n const s = Math.round(absV % 60);\n const hh = h > 0 ? `${h}:` : '';\n const mm = h > 0 ? String(m).padStart(2, '0') : String(m);\n const ss = String(s).padStart(2, '0');\n return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`;\n }\n }\n\n const incZeroDefault =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Compute global Y range and full-track stats in a single pass\n let gMin = Infinity,\n gMax = -Infinity,\n allSum = 0,\n allCount = 0,\n filtMin = Infinity,\n filtMax = -Infinity,\n filtSum = 0,\n filtCount = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < gMin) gMin = v;\n if (v > gMax) gMax = v;\n allSum += v;\n allCount++;\n if (v !== 0 || incZeroDefault) {\n if (v < filtMin) filtMin = v;\n if (v > filtMax) filtMax = v;\n filtSum += v;\n filtCount++;\n }\n }\n if (allCount === 0) {\n gMin = 0;\n gMax = 100;\n }\n const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null;\n const fullStatsFiltered = filtCount\n ? { min: filtMin, max: filtMax, avg: filtSum / filtCount }\n : null;\n const gPad = Math.abs(gMax - gMin) * 0.1 || 1;\n const fixedYRange = [gMin - gPad, gMax + gPad];\n\n let statsTotalInitialized = false;\n\n // Per-range stats\n function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) {\n const incZero =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Update fixed X labels\n const range = visibleMax - visibleMin;\n fixedMinLabel.textContent = formatX(visibleMin, range);\n fixedMaxLabel.textContent = formatX(visibleMax, range);\n\n const getHtml = (xMin: number, xMax: number, isFull = false) => {\n const s =\n isFull && incZero === incZeroDefault\n ? fullStatsFiltered\n : rangeStats(xData, yData, xMin, xMax, incZero);\n if (!s) return '';\n\n let h = `\n align_flex_end${def.fmt(s.min, true)} ${def.unit}\n align_center${def.fmt(s.avg, true)} ${def.unit}\n align_flex_start${def.fmt(s.max, true)} ${def.unit}\n `;\n\n if (metricKey === 'elevation') {\n const es = elevationRangeStats(pts, xMin, xMax);\n h += `\n trending_up+${Math.round(es.gain)} m\n trending_down-${Math.round(es.loss)} m\n `;\n }\n return h;\n };\n\n if (!statsTotalInitialized) {\n statsTotalInitialized = true;\n statsTotalEl.innerHTML = `all_inclusive${getHtml(\n xData[0]!,\n xData[xData.length - 1]!,\n true,\n )}`;\n statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => {\n e.stopPropagation();\n cancelSelection();\n });\n }\n\n if (selAnchorVal !== null && selEndVal !== null) {\n statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false);\n statsSelEl.style.display = 'flex';\n statsSelEl.style.setProperty('--sel-color', def.color);\n } else {\n statsSelEl.style.display = 'none';\n }\n }\n let initializingScale = false;\n const uOpts: uPlot.Options = {\n width: w,\n height: 130,\n padding: [4, 0, 0, 0],\n cursor: {\n sync: {\n key: syncKey!.key,\n },\n drag: { x: true, y: false, uni: 16 },\n focus: { prox: 16 },\n points: {\n size: 7,\n stroke: '#0e0e10',\n width: 2,\n fill: (metricKey === 'elevation'\n ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null)\n : def.color) as any,\n },\n x: false,\n y: false,\n },\n select: {\n show: true,\n left: 0,\n top: 0,\n width: 0,\n height: 0,\n },\n legend: { show: false },\n scales: {\n x: {\n time: false,\n range: (_u: uPlot, mn: number, mx: number) => [mn, mx],\n min: initialRange ? initialRange[0] : undefined,\n max: initialRange ? initialRange[1] : undefined,\n },\n y: {\n range: () => fixedYRange as [number, number],\n dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1,\n },\n },\n axes: [\n {\n side: 2, // bottom\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: {\n show: true,\n stroke: '#2e2e34',\n },\n size: 30,\n space: 80,\n font: '10px system-ui, sans-serif',\n splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => {\n const range = scaleMax - scaleMin;\n const width = u.bbox.width > 0 ? u.bbox.width : u.width;\n const targetLabels = width / 80;\n const idealIncr = range / targetLabels;\n\n let incrs;\n if (!isDistAxis) {\n // Time in seconds\n incrs = [\n 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200,\n 86400, 604800, 2592000, 31536000,\n ];\n } else {\n incrs = [\n 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,\n 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000,\n ];\n }\n\n let incr = incrs[incrs.length - 1];\n for (let i = 0; i < incrs.length; i++) {\n if (incrs[i] >= idealIncr) {\n incr = incrs[i];\n break;\n }\n }\n\n const splits = [];\n let val = Math.ceil(scaleMin / incr) * incr;\n const precision = incr < 1 ? 2 : 0;\n\n while (val <= scaleMax) {\n const pos = u.valToPos(val, 'x', true);\n if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80)\n splits.push(Number(val.toFixed(precision)));\n\n val += incr;\n }\n return splits;\n },\n values: ((_u: uPlot, vals: number[]) => {\n const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0);\n\n return vals.map((v) => {\n if (v == null) return '';\n const pos = _u.valToPos(v, 'x', true);\n // Strict 80px margin to prevent overlapping with fixed labels or Y axis\n if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null;\n return formatX(v, range);\n });\n }) as any,\n },\n {\n side: 3, // left\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: { stroke: '#2e2e34' },\n size: 55,\n font: '10px system-ui, sans-serif',\n values: ((_u: uPlot, vals: number[]) =>\n vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any,\n },\n ],\n series: [\n {},\n // Main selected track series\n {\n label: def.label,\n stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering\n width: 0,\n points: { show: false },\n paths: () => null,\n },\n ],\n hooks: {\n draw: [\n (u: uPlot) => {\n const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area!\n fixedMinLabel.style.top = `${top}px`;\n fixedMinLabel.style.left = `${u.bbox.left}px`;\n\n fixedMaxLabel.style.top = `${top}px`;\n fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`;\n fixedMaxLabel.style.transform = 'translateX(-100%)';\n },\n // 1. (bottom) Color / metric color of the selected track\n (u: uPlot) => {\n if (metricKey === 'gears') {\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n } else if (metricKey === 'elevation') {\n drawElevationGradient(u, xData as number[], yData as number[], gradData);\n } else if (metricKey === 'gradient') {\n drawGradientChart(u, xData as number[], yData as number[]);\n } else if (mapColorMetric === metricKey) {\n drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey);\n } else {\n // Normal colored line\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n }\n },\n\n // 2. Pinned point (middle)\n (u: uPlot) => {\n const plot = plots.find((p) => p.uplot === u);\n if (!plot) return;\n\n const s = (u as any)._strasse;\n // Priority 1: Global pinned point (all charts)\n if (pinnedPtIdx != null) {\n drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey);\n } else {\n if (s && s.pinYVal) s.pinYVal.style.display = 'none';\n\n // Priority 2: Individual histogram pinned Y-pos (this chart only)\n if (plot.pinnedHistY != null)\n drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def);\n }\n },\n\n // 3. Pinned & Hover elements (labels, vertical lines)\n (u: uPlot) => {\n const hIdx = u.cursor.idx;\n const hasPinned = pinnedPtIdx != null;\n\n let hasHover = hIdx != null && u.cursor.left! >= 0;\n if (hasHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[hIdx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) hasHover = false;\n }\n\n // B. Draw Hover vertical line\n if (hasHover && hIdx !== pinnedPtIdx)\n drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0);\n\n // C. Bold selection x-axis line & span pill\n if (selAnchorVal != null && selEndVal != null) {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ax = u.valToPos(selAnchorVal, 'x', true);\n const ex = u.valToPos(selEndVal, 'x', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.lineWidth = 3 * dpr;\n ctx.strokeStyle = def.color;\n ctx.moveTo(ax, bb.top + bb.height);\n ctx.lineTo(ex, bb.top + bb.height);\n ctx.stroke();\n\n const span = Math.abs(selEndVal - selAnchorVal);\n const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span);\n const fontSize = 9 * dpr;\n const fontStr = `bold ${fontSize}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n\n const visibleL = Math.max(bb.left, ax);\n const visibleR = Math.min(bb.left + bb.width, ex);\n const visibleW = visibleR - visibleL;\n\n if (visibleW > tw + 14 * dpr) {\n const padH = 5 * dpr;\n const padV = 2 * dpr;\n const bw = tw + padH * 2;\n const bh = fontSize + padV * 2;\n const bx = (visibleL + visibleR) / 2 - bw / 2;\n const by = bb.top + bb.height - bh / 2;\n\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = def.color;\n ctx.fill();\n\n ctx.fillStyle = '#000';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2);\n }\n ctx.restore();\n }\n\n // D. Draw label pills (on top)\n // Pinned labels first (semi-transparent)\n if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7);\n\n // Hover labels last (fully opaque, topmost)\n if (hasHover && hIdx !== pinnedPtIdx)\n drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0);\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (scaleSyncing) return;\n const idx = u.cursor.idx;\n\n // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live\n // Note: uPlot handles cross-chart sync when syncKey is used.\n u.redraw(false);\n\n // Track current x-value for keyboard navigation\n if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x');\n else lastMouseXVal = null;\n\n // \u2500\u2500 Floating y-value next to cursor dot \u2500\u2500\n const s = (u as any)._strasse;\n let showHover = idx != null && yData[idx] != null;\n\n // Distance threshold: if no pinned point, check proximity to data line\n if (showHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[idx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) showHover = false;\n }\n\n if (s) {\n if (showHover)\n updateTooltip(\n u,\n s.curYVal,\n idx!,\n xData as number[],\n yData as number[],\n pts,\n def,\n metricKey,\n );\n else s.curYVal.style.display = 'none';\n }\n\n // Map marker\n if (!cursorSyncing) {\n if (idx != null && pts[idx]) {\n if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) {\n onCursorMoveCb(pts[idx]);\n } else if (onCursorMoveCb && !showHover) {\n // If we're too far and nothing is pinned, hide map cursor\n onCursorMoveCb(null);\n }\n } else if (idx === null && onCursorMoveCb) {\n onCursorMoveCb(null);\n }\n }\n\n // Highlight matching histogram bucket\n if (idx != null && yData[idx] != null) {\n const { min, max } = histData;\n if (min != null && max != null) {\n const span = max - min || 1;\n const binI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[idx]! - min) / span) * histData.BINS),\n );\n if (plot.hoveredHistY !== yData[idx]) {\n plot.hoveredHistY = yData[idx];\n drawHistogram(histCanvas, histData, 130, binI);\n }\n }\n } else if (plot.hoveredHistY !== null) {\n plot.hoveredHistY = null;\n drawHistogram(histCanvas, histData, 130);\n }\n },\n ],\n\n setScale: [\n (u: uPlot, key: string) => {\n if (key !== 'x' || initializingScale) return;\n const { min, max } = u.scales.x!;\n\n // Sync currentXRange so keyboard navigation baseline is always accurate\n currentXRange = [min!, max!];\n\n // Update header stats for VISIBLE range\n updateHeaderStats(min as number, max as number, u);\n\n if (scaleSyncing) return;\n\n // Clear keyboard target when user interacts via mouse\n if (!updatingRange) targetXRange = null;\n\n // Sync sibling plots\n scaleSyncing = true;\n plots.forEach(({ uplot: other }) => {\n if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! }));\n });\n scaleSyncing = false;\n\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb && selAnchorVal !== null)\n onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n },\n ],\n\n setSelect: [\n (u: uPlot) => {\n if (updatingRange) return;\n targetXRange = null;\n const { left, width } = u.select;\n if (width > 0) {\n const min = u.posToVal(left, 'x');\n const max = u.posToVal(left + width, 'x');\n selAnchorVal = min;\n selEndVal = max;\n\n // Sync stats to new selection\n updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u);\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n\n // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction\n u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false);\n }\n },\n ],\n },\n };\n\n // \u2500\u2500 Overlay (pointer-events off except handles) \u2500\u2500\n const overlay = document.createElement('div');\n overlay.style.cssText =\n 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5';\n\n // Selection fill\n const selFill = document.createElement('div');\n selFill.className = 'sel-fill';\n selFill.style.display = 'none';\n\n // Anchor line + label + drag handle\n const anchorLine = document.createElement('div');\n anchorLine.className = 'sel-line sel-line-anchor';\n anchorLine.style.display = 'none';\n\n const anchorLabel = document.createElement('div');\n anchorLabel.className = 'sel-line-label sel-line-label-anchor';\n anchorLabel.style.display = 'none';\n\n const anchorHandle = document.createElement('div');\n anchorHandle.className = 'sel-handle sel-handle-anchor';\n anchorHandle.style.display = 'none';\n\n const anchorMarker = document.createElement('div');\n anchorMarker.className = 'sel-graph-marker';\n anchorMarker.innerHTML =\n 'play_circle';\n anchorMarker.style.display = 'none';\n\n // End line + label + drag handle\n const endLine = document.createElement('div');\n endLine.className = 'sel-line sel-line-end';\n endLine.style.display = 'none';\n\n const endLabel = document.createElement('div');\n endLabel.className = 'sel-line-label sel-line-label-end';\n endLabel.style.display = 'none';\n\n const endHandle = document.createElement('div');\n endHandle.className = 'sel-handle sel-handle-end';\n endHandle.style.display = 'none';\n\n const endMarker = document.createElement('div');\n endMarker.className = 'sel-graph-marker';\n endMarker.innerHTML =\n 'stop_circle';\n endMarker.style.display = 'none';\n\n // Floating cursor y-value\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${def.color};display:none`;\n\n // Floating pinned y-value\n const pinYVal = document.createElement('div');\n pinYVal.className = 'cur-y-val pin';\n pinYVal.style.cssText = `color:${def.color};display:none`;\n\n overlay.append(\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n );\n\n const histData: HistData = {\n yData,\n xData: xData as number[],\n def,\n BINS: 24,\n min: allCount ? gMin : undefined,\n max: allCount ? gMax : undefined,\n fullStats: fullStatsFiltered,\n fullStatsAll,\n };\n const plot: PlotData = {\n uplot: null as any,\n row,\n xData: xData as number[],\n yData,\n def,\n metricKey,\n statsTotalEl,\n statsSelEl,\n histCol,\n histCanvas,\n histData,\n hoveredHistY: null,\n pinnedHistY: null,\n smoothed: smoothedMetrics.has(metricKey),\n incZero: metricsIncludingZero.has(metricKey),\n w,\n };\n histData.plot = plot; // Back-reference for tooltip to trigger redraws\n\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => {\n plot.uplot = self as WegPlot;\n plots.push(plot);\n plotEl.appendChild(self.root);\n self.over.appendChild(overlay);\n (self as any)._strasse = {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n updateHeaderStats,\n };\n self.batch(() => {\n init();\n });\n }) as WegPlot;\n scaleSyncing = prevSync;\n\n // \u2500\u2500 Handle drag \u2500\u2500\n attachHandleDrag(anchorHandle, uplot, xData, true);\n attachHandleDrag(endHandle, uplot, xData, false);\n\n // \u2500\u2500 Mouse listeners \u2500\u2500\n let mousedownX: number | null = null;\n uplot.over.addEventListener('mousedown', (e) => {\n if (e.button !== 0) return;\n isDragging = false;\n const rect = uplot.over.getBoundingClientRect();\n const xPx = e.clientX - rect.left;\n mousedownX = xPx;\n });\n uplot.over.addEventListener('mousemove', (e) => {\n if (mousedownX !== null) {\n const rect = uplot.over.getBoundingClientRect();\n if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true;\n }\n });\n uplot.over.addEventListener('mouseup', () => {\n mousedownX = null;\n });\n\n // Click to pin point (sticky selection)\n uplot.over.addEventListener('click', () => {\n if (isDragging) return;\n const idx = uplot.cursor.idx;\n if (idx != null && pts[idx]) {\n pinnedPtIdx = idx;\n plots.forEach(({ uplot: u }) => u.redraw(false));\n if (onClickCb) onClickCb(pts[idx], idx);\n if (onPinChangeCb) onPinChangeCb(idx);\n }\n });\n\n row.addEventListener('dblclick', cancelSelection);\n\n let initHoverBinI: number | null = null;\n if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) {\n buildHistBins(histData);\n if (histData.min != null && histData.max != null) {\n const span = histData.max - histData.min || 1;\n initHoverBinI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS),\n );\n plot.hoveredHistY = yData[pinnedPtIdx];\n }\n }\n\n drawHistogram(histCanvas, histData, 130, initHoverBinI);\n attachHistTooltip(histCanvas, histData);\n if (container) {\n if (insertBeforeEl) container.insertBefore(row, insertBeforeEl);\n else container.appendChild(row);\n }\n }\n\n // \u2500\u2500 Selection overlay (fill + lines + handles) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateSelOverlay() {\n updateAnchorLines();\n // Redraw canvas markers (bold selection line + span pill)\n plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false)));\n }\n\n function updateAnchorLines() {\n plots.forEach(({ uplot: u, def }) => {\n const s = (u as any)._strasse;\n if (!s) return;\n const {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n } = s;\n if (selAnchorVal == null || selEndVal == null) {\n [\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n ].forEach((el: HTMLElement) => {\n el.style.display = 'none';\n });\n return;\n }\n const aX = u.valToPos(selAnchorVal, 'x');\n const eX = u.valToPos(selEndVal, 'x');\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const overW = bb.width / dpr;\n const overH = bb.height / dpr;\n const plotBottom = (bb.top + bb.height) / dpr;\n\n const isAnchorVisible = aX >= 0 && aX <= overW;\n const isEndVisible = eX >= 0 && eX <= overW;\n\n // Fill: clamp left/right to visible area\n const fillL = Math.max(0, aX);\n const fillR = Math.min(overW, eX);\n if (fillR > fillL) {\n selFill.style.left = `${fillL}px`;\n selFill.style.width = `${fillR - fillL}px`;\n selFill.style.top = '0';\n selFill.style.height = `${overH}px`;\n selFill.style.backgroundColor = hexToRgba(def.color, 0.07);\n selFill.style.display = '';\n } else {\n selFill.style.display = 'none';\n }\n\n // Anchor line\n if (isAnchorVisible) {\n anchorLine.style.left = `${aX}px`;\n anchorLine.style.height = `${overH}px`;\n anchorLine.style.borderLeftColor = def.color;\n anchorLine.style.display = '';\n // Anchor label\n const aText = fmtXVal(selAnchorVal);\n anchorLabel.textContent = aText;\n const aLabelW = aText.length * 7 + 10;\n anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`;\n anchorLabel.style.display = '';\n // Anchor handle\n anchorHandle.style.left = `${aX}px`;\n anchorHandle.style.backgroundColor = def.color;\n anchorHandle.style.display = '';\n // Anchor marker: centered on the bold line\n anchorMarker.style.left = `${aX}px`;\n anchorMarker.style.top = `${plotBottom}px`;\n const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (aIcon) aIcon.style.color = def.color;\n anchorMarker.style.display = '';\n } else {\n [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n\n // End line\n if (isEndVisible) {\n endLine.style.left = `${eX}px`;\n endLine.style.height = `${overH}px`;\n endLine.style.borderLeftColor = def.color;\n endLine.style.display = '';\n // End label\n const eText = fmtXVal(selEndVal);\n endLabel.textContent = eText;\n const eLabelW = eText.length * 7 + 10;\n endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`;\n endLabel.style.display = '';\n // End handle\n endHandle.style.left = `${eX}px`;\n endHandle.style.backgroundColor = def.color;\n endHandle.style.display = '';\n // End marker: centered on the bold line\n endMarker.style.left = `${eX}px`;\n endMarker.style.top = `${plotBottom}px`;\n const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (eIcon) eIcon.style.color = def.color;\n endMarker.style.display = '';\n } else {\n [endLine, endLabel, endHandle, endMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n });\n }\n\n function fmtXVal(v: number) {\n return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v);\n }\n\n // \u2500\u2500 Handle drag logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function attachHandleDrag(\n handleEl: HTMLElement,\n uplot: uPlot,\n xData: (number | null)[],\n isAnchor: boolean,\n ) {\n // pointer-events enabled on the handle itself\n handleEl.style.pointerEvents = 'auto';\n\n handleEl.addEventListener('mousedown', (e) => {\n e.stopPropagation();\n e.preventDefault();\n const startX = e.clientX;\n const startVal = isAnchor ? selAnchorVal : selEndVal;\n const overW = uplot.over.offsetWidth;\n // px-per-data-unit at current zoom\n const xMin = uplot.scales.x!.min!,\n xMax = uplot.scales.x!.max!;\n const pxPerUnit = overW / (xMax - xMin);\n const xFull = [xData[0]!, xData[xData.length - 1]!];\n\n document.body.style.cursor = 'ew-resize';\n isDragging = true;\n\n function onMove(me: MouseEvent) {\n const dx = me.clientX - startX;\n let newVal = (startVal || 0) + dx / pxPerUnit;\n newVal = Math.max(xFull[0], Math.min(xFull[1], newVal));\n\n if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001);\n else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001);\n\n // When dragging handles, we typically want to stay zoomed to the selection?\n // Actually, let's keep the zoom as is, and just update the selection overlay and stats.\n plots.forEach((p) =>\n (p.uplot as any)._strasse?.updateHeaderStats(\n p.uplot.scales.x!.min!,\n p.uplot.scales.x!.max!,\n ),\n );\n updateSelOverlay();\n redrawHistograms();\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n }\n\n function onUp() {\n document.body.style.cursor = '';\n isDragging = false;\n document.removeEventListener('mousemove', onMove);\n document.removeEventListener('mouseup', onUp);\n }\n\n document.addEventListener('mousemove', onMove);\n document.addEventListener('mouseup', onUp);\n });\n }\n\n // \u2500\u2500 Histogram logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function buildHistBins(histData: HistData) {\n const { yData, xData, BINS } = histData;\n\n // Cache to avoid re-binning every frame during hover\n if (histData._lastYData === yData && histData.bins) return;\n histData._lastYData = yData;\n\n let min = histData.min;\n let max = histData.max;\n if (min == null || max == null) {\n let lo = Infinity,\n hi = -Infinity,\n cnt = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < lo) lo = v;\n if (v > hi) hi = v;\n cnt++;\n }\n if (!cnt) return;\n min = lo;\n max = hi;\n histData.min = min;\n histData.max = max;\n }\n\n const bins = new Array(BINS).fill(0);\n const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km)\n\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n bins[bi]++;\n\n // weight by x-delta\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n binAccum[bi] += (next - prev) / 2;\n }\n histData.bins = bins;\n histData.binAccum = binAccum;\n }\n\n function redrawHistograms() {\n plots.forEach(({ histCanvas, histData, uplot: u }) => {\n drawHistogram(histCanvas, histData, u.height);\n });\n }\n\n function drawHistogram(\n canvas: HTMLCanvasElement,\n histData: HistData,\n chartH: number,\n hoverBinI: number | null = null,\n ) {\n const { def, BINS } = histData;\n buildHistBins(histData);\n const { bins, min, max } = histData;\n if (!bins || min == null || max == null) return;\n\n const hasSel = selAnchorVal != null && selEndVal != null;\n\n // Compute selection bins if a range is active and changed\n if (\n hasSel &&\n (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal)\n ) {\n histData._lastSelRange = [selAnchorVal!, selEndVal!];\n const selBins = new Array(BINS).fill(0);\n const selBinAccum = new Array(BINS).fill(0);\n const { yData, xData } = histData;\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const x = xData[i];\n if (x == null || x < selAnchorVal! || x > selEndVal!) continue;\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n selBins[bi]++;\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n selBinAccum[bi] += (next - prev) / 2;\n }\n histData.selBins = selBins;\n histData.selBinAccum = selBinAccum;\n } else if (!hasSel) {\n histData.selBins = null;\n histData.selBinAccum = null;\n histData._lastSelRange = null;\n }\n const selBins = histData.selBins;\n\n const dpr = window.devicePixelRatio || 1;\n const W = HIST_W;\n const H = chartH;\n\n // Performance: only set dimensions if they changed (resets canvas)\n if (canvas.width !== W * dpr || canvas.height !== H * dpr) {\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n canvas.style.width = `${W}px`;\n canvas.style.height = `${H}px`;\n }\n\n const ctx = canvas.getContext('2d')!;\n ctx.resetTransform();\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const peak = Math.max(...bins);\n\n // Measure label width so bars start right after them\n const fmt = (v: number) => def.fmtAxis(v);\n const fontStr = '9px system-ui, sans-serif';\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const labelW = Math.ceil(\n Math.max(\n ctx.measureText(`${fmt(max)} ${def.unit}`).width,\n ctx.measureText(`${fmt(min)} ${def.unit}`).width,\n ),\n );\n\n // Vertical alignment with main graph:\n // uPlot padding: [4, 0, 0, 0]\n // Axis size: 30\n const pad = { t: 4, r: 0, b: 30, l: labelW + 6 };\n histData.padL = pad.l;\n const plotW = W - pad.l - pad.r;\n const plotH = H - pad.t - pad.b;\n\n // bin 0 = lowest values \u2192 drawn at bottom; bin BINS-1 = highest \u2192 drawn at top\n const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS);\n const binH = plotH / BINS - 1;\n\n // Full distribution (dimmed when selection active)\n const baseAlpha = hasSel ? 0.15 : 0.6;\n ctx.fillStyle = hexToRgba(def.color, baseAlpha);\n for (let i = 0; i < BINS; i++) {\n if (!bins[i]) continue;\n const bw = (bins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n\n // Selection overlay (bright)\n if (selBins) {\n ctx.fillStyle = hexToRgba(def.color, 0.85);\n for (let i = 0; i < BINS; i++) {\n if (!selBins[i]) continue;\n const bw = (selBins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n ctx.fillStyle = def.color;\n ctx.fillRect(pad.l, pad.t, 2, plotH);\n }\n\n // CDF overlay \u2014 smooth curve from bottom (0%) to top (100%)\n const total = bins.reduce((s, v) => s + v, 0);\n if (total > 0) {\n // Build CDF points: one per bin boundary, bottom\u2192top\n const pts2 = [{ x: pad.l, y: pad.t + plotH }];\n let cumSum = 0;\n for (let i = 0; i < BINS; i++) {\n cumSum += bins[i];\n pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) });\n }\n\n ctx.beginPath();\n // CDF line is now solid\n ctx.setLineDash([]);\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 0.75 * dpr;\n ctx.lineJoin = 'round';\n ctx.moveTo(pts2[0].x, pts2[0].y);\n for (let i = 1; i < pts2.length - 1; i++) {\n const mx = (pts2[i].x + pts2[i + 1].x) / 2;\n const my = (pts2[i].y + pts2[i + 1].y) / 2;\n ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my);\n }\n ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y);\n ctx.stroke();\n\n // \u2500\u2500 Hover highlight on CDF \u2500\u2500\n if (hoverBinI != null && pts2[hoverBinI + 1]) {\n const cp = pts2[hoverBinI + 1];\n // Vertical line down\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(def.color, 0.6);\n ctx.moveTo(cp.x, cp.y);\n ctx.lineTo(cp.x, pad.t + plotH);\n ctx.stroke();\n ctx.setLineDash([]);\n\n // Dot: tiny precision point\n ctx.beginPath();\n ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n }\n\n // Axis labels: max at top, min at bottom\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n const font9 = '9px system-ui, sans-serif';\n if (ctx.font !== font9) ctx.font = font9;\n ctx.textAlign = 'right';\n\n // Draw Max\n ctx.textBaseline = 'top';\n ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t);\n\n // Draw Min\n ctx.textBaseline = 'bottom';\n ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b);\n\n // Draw Avg (only if it doesn't overlap min/max)\n const stats =\n !hasSel && histData.fullStatsAll !== undefined\n ? histData.fullStatsAll\n : rangeStats(\n histData.xData,\n histData.yData,\n selAnchorVal || -Infinity,\n selEndVal || Infinity,\n );\n if (stats) {\n const avgY =\n pad.t +\n (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) *\n (plotH / BINS);\n const minLabelY = H - pad.b;\n const maxLabelY = pad.t;\n const labelHeight = 10; // Approx 10px height for 9px font\n\n if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) {\n ctx.textBaseline = 'middle';\n if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa';\n ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY);\n // Draw small indicator tick\n ctx.beginPath();\n ctx.moveTo(pad.l - 3, avgY);\n ctx.lineTo(pad.l, avgY);\n if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa';\n ctx.lineWidth = 1;\n ctx.stroke();\n }\n }\n\n // \u2500\u2500 Higher/Lower percentages below histogram \u2500\u2500\n if (hoverBinI != null && total > 0) {\n let countLower = 0;\n for (let i = 0; i < hoverBinI; i++) countLower += bins[i];\n let countHigher = 0;\n for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i];\n\n const pLower = Math.round((countLower / total) * 100);\n const pHigher = Math.round((countHigher / total) * 100);\n\n ctx.save();\n ctx.textAlign = 'left';\n ctx.textBaseline = 'top';\n const font8 = '8px system-ui, sans-serif';\n if (ctx.font !== font8) ctx.font = font8;\n\n const textY = H - pad.b + 6;\n\n // Draw \"Lower\" stat\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('LOWER', pad.l, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n const fontB10 = 'bold 10px system-ui, sans-serif';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pLower}%`, pad.l, textY + 10);\n\n // Draw \"Higher\" stat\n const midX = pad.l + plotW / 2;\n if (ctx.font !== font8) ctx.font = font8;\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('HIGHER', midX, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pHigher}%`, midX, textY + 10);\n\n ctx.restore();\n }\n }\n\n function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) {\n const { plot } = histData;\n\n canvas.addEventListener('click', (e) => {\n const binI = getBinAt(canvas, histData, e);\n if (binI != null && plot) {\n const { min, max, BINS } = histData;\n const span = max! - min! || 1;\n plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n }\n });\n\n canvas.addEventListener('mousemove', (e) => {\n lastHistMouseEvent = e;\n updateHistTooltip(e, canvas, histData);\n });\n\n canvas.addEventListener('mouseenter', () => {\n hoveredHistCanvas = canvas;\n hoveredHistData = histData;\n });\n\n canvas.addEventListener('mouseleave', () => {\n if (hoveredHistCanvas === canvas) {\n hoveredHistCanvas = null;\n hoveredHistData = null;\n }\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const lineEl = document.getElementById('hist-line');\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n });\n }\n\n function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) {\n const { bins, BINS } = histData;\n if (!bins) return null;\n const rect = canvas.getBoundingClientRect();\n const relY = e.clientY - rect.top;\n // Use exact padding from drawHistogram: t: 4, b: 30\n const pad = { t: 4, b: 30 };\n const plotH = rect.height - pad.t - pad.b;\n const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!);\n const binI = BINS! - 1 - rawI;\n if (rawI < 0 || rawI >= BINS!) return null;\n return binI;\n }\n\n function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) {\n if (!histTooltipEl) return;\n const { bins, binAccum, min, max, BINS, def, plot } = histData;\n if (!bins || !binAccum || min == null || max == null) return;\n\n const lineEl = document.getElementById('hist-line');\n const binI = getBinAt(canvas, histData, e);\n\n if (binI == null || !bins[binI]) {\n histTooltipEl.style.display = 'none';\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n return;\n }\n\n if (plot) {\n const span = max - min || 1;\n plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!);\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI);\n }\n\n const count = bins[binI];\n const total = bins.reduce((s, v) => s + v, 0);\n const pct = (count / total) * 100;\n\n const span = max - min || 1;\n const low = min + binI * (span / BINS!);\n const high = min + (binI + 1) * (span / BINS!);\n const label = `${def.fmt(low, true)} \u2013 ${def.fmt(high, true)} ${def.unit}`;\n\n // Zone info\n let zoneHtml = '';\n const mid = (low + high) / 2;\n const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def);\n let zones: any[] = [];\n if (metricKey === 'power') zones = Zones.getPowerZones();\n else if (metricKey === 'hr') zones = Zones.getHRZones();\n\n if (zones.length > 0) {\n const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max);\n const z =\n zIdx !== -1\n ? zones[zIdx]\n : mid >= zones[zones.length - 1].min\n ? zones[zones.length - 1]\n : null;\n if (z) {\n const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1;\n zoneHtml = `\n
\n Z${finalZIdx + 1}\n \u00B7\n ${z.name}\n
\n `;\n }\n }\n\n const totalAccum =\n xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]);\n const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100;\n\n let html = `\n
${label}
\n ${zoneHtml}\n `;\n\n if (totalAccum) {\n html += `
\n ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${totalAccum}\n ${totalPct.toFixed(1)}%\n
`;\n }\n\n // Selection context\n if (histData.selBins && histData.selBinAccum) {\n const stotalAccum =\n xAxis === 'distance'\n ? `${histData.selBinAccum[binI].toFixed(2)} km`\n : fmtSecs(histData.selBinAccum[binI]);\n const stotalPct =\n (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100;\n\n html += `\n
\n Sel ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${stotalAccum}\n ${stotalPct.toFixed(1)}%\n
\n `;\n }\n\n histTooltipEl.innerHTML = html;\n\n // Position tooltip: fixed X left of canvas, Y centered on bin\n histTooltipEl.style.display = 'block';\n const ttH = histTooltipEl.offsetHeight;\n const ttW = histTooltipEl.offsetWidth;\n const rect = canvas.getBoundingClientRect();\n const plotH = rect.height - 4 - 30; // pad.t + pad.b\n const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!);\n\n histTooltipEl.style.left = `${rect.left - ttW - 12}px`;\n histTooltipEl.style.top = `${binCenterY - ttH / 2}px`;\n\n // Horizontal line sync\n if (lineEl) {\n lineEl.style.display = 'block';\n lineEl.style.top = `${binCenterY}px`;\n lineEl.style.left = '0px';\n lineEl.style.width = `${rect.left}px`;\n }\n }\n\n // \u2500\u2500 Helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function destroyPlots(keepState = false) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n plots.forEach(({ uplot: u, row }) => {\n syncKey!.unsub(u);\n u.destroy();\n row.remove();\n });\n plots = [];\n renderedTrack = null;\n if (!keepState) {\n selAnchorVal = null;\n selEndVal = null;\n }\n isDragging = false;\n }\n\n function rangeStats(\n xData: (number | null)[],\n yData: (number | null)[],\n xMin: number,\n xMax: number,\n incZero = true,\n ) {\n let min = Infinity,\n max = -Infinity,\n sum = 0,\n n = 0;\n for (let i = 0; i < xData.length; i++) {\n if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue;\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n if (v < min) min = v;\n if (v > max) max = v;\n sum += v;\n n++;\n }\n return n ? { min, max, avg: sum / n } : null;\n }\n\n function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) {\n let gain = 0,\n loss = 0;\n let prevEle: number | null = null;\n const isDist = xAxis === 'distance';\n const t0 = pts[0].time || 0;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n if (x < xMin || x > xMax) continue;\n\n if (p.ele != null) {\n if (prevEle != null) {\n const diff = p.ele - prevEle;\n if (diff > 0) gain += diff;\n else if (diff < 0) loss += Math.abs(diff);\n }\n prevEle = p.ele;\n }\n }\n return { gain, loss };\n }\n\n // \u2500\u2500 Plot Rendering Helpers (Canvas) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateTooltip(\n u: WegPlot,\n el: HTMLElement,\n idx: number,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n def: MetricDefinition,\n metricKey: string,\n ) {\n if (idx == null || yData[idx] == null) {\n el.style.display = 'none';\n return;\n }\n\n const cx = u.valToPos(xData[idx]!, 'x', false);\n const cy = u.valToPos(yData[idx]!, 'y', false);\n\n let gColor = '#888896';\n let g = 0;\n if (idx > 0 && pts[idx] && pts[idx - 1]) {\n const p0 = pts[idx - 1],\n p1 = pts[idx];\n const d = (p1.dist || 0) - (p0.dist || 0);\n if (d > 0.1 && p1.ele != null && p0.ele != null) {\n g = ((p1.ele - p0.ele) / d) * 100;\n gColor = gradientColor(g);\n }\n }\n\n let content =\n metricKey !== 'elevation'\n ? `${def.fmt(yData[idx]!, false)} ${def.unit}`\n : `${def.fmt(yData[idx]!, false)} ${def.unit} \u2220 ${Math.abs(g).toFixed(1)}%`;\n\n // Special handling for gears: show tooth count if available\n if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) {\n content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) {\n content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gears') {\n const p = pts[idx];\n const front =\n p.gearFrontTooth != null\n ? `${p.gearFrontTooth}T`\n : p.gearFront != null\n ? `pos ${p.gearFront}`\n : '';\n const rear =\n p.gearRearTooth != null\n ? `${p.gearRearTooth}T`\n : p.gearRear != null\n ? `pos ${p.gearRear}`\n : '';\n\n if (front || rear)\n content += ` (${front} / ${rear})`;\n }\n\n if (el.innerHTML !== content) el.innerHTML = content;\n\n const color44 = `${def.color}44`;\n if (el.style.color !== def.color) el.style.color = def.color;\n if (el.style.borderColor !== color44) el.style.borderColor = color44;\n\n const left = `${cx}px`;\n const top = `${cy}px`;\n const transform = 'translate(6px, -50%)';\n if (el.style.left !== left) el.style.left = left;\n if (el.style.top !== top) el.style.top = top;\n if (el.style.transform !== transform) el.style.transform = transform;\n if (el.style.display !== '') el.style.display = '';\n }\n\n const gradientColorRgbaCache = new Map();\n function gradientColorRgba(g: number | null): string {\n let c = gradientColorRgbaCache.get(g);\n if (!c) {\n c = hexToRgba(gradientColor(g), 0.8);\n gradientColorRgbaCache.set(g, c);\n }\n return c;\n }\n\n function drawElevationGradient(\n u: uPlot,\n xData: number[],\n yData: number[],\n gradData: (number | null)[] | null,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawGradientChart(u: uPlot, xData: number[], yData: number[]) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = Math.round(yData[i]! / 2) * 2;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) {\n const idx = u.cursor.idx;\n if (idx == null || yData[idx] == null || u.cursor.left! < 0) return;\n\n const t0 = pts[0].time || 0;\n const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yData[idx], 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Line from top to point + horizontal from left\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, cy);\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Dot at point\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n\n function drawVerticalLineOnly(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const xVal =\n xAxis === 'distance'\n ? (pts[idx].dist || 0) / 1000\n : (pts[idx].time! - (pts[0].time || 0)) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n // Dotted line range should match where labels are (flush top to bottom axis)\n ctx.moveTo(cx, bb.top + 16 * dpr);\n ctx.lineTo(cx, bb.top + bb.height + 10 * dpr);\n ctx.stroke();\n ctx.restore();\n }\n\n function drawXAxisLabels(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n skipLine = false,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const t0 = pts[0].time || 0;\n const distVal = (pts[idx].dist || 0) / 1000;\n const timeVal = (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true);\n\n // Bottom label: matches the current X axis unit\n const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal);\n // Top label: shows the other unit (simplified)\n const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`;\n\n const drawPill = (text: string, x: number, y: number, isTop: boolean) => {\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(text).width;\n const bw = tw + 10 * dpr;\n const bh = 16 * dpr;\n const rx = x - bw / 2;\n const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx));\n const ry = y - bh / 2;\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.setLineDash([]); // Ensure pills are not dashed\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr);\n else ctx.rect(clampedRx, ry, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.92)';\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr);\n ctx.restore();\n };\n\n if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity);\n\n const pillH = 16 * dpr;\n // Top label: flush to the top edge of the plot\n drawPill(topLabel, cx, bb.top + pillH / 2, true);\n\n // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area)\n drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false);\n }\n\n function drawPinnedDot(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n def: MetricDefinition,\n pts: TrackPoint[],\n metricKey: string,\n ) {\n if (pinnedPtIdx == null) return;\n const xVal = xData[pinnedPtIdx];\n const yVal = yData[pinnedPtIdx];\n if (xVal == null || yVal == null) return;\n\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n ctx.save();\n // Vertical line\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1.5 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, bb.top + bb.height);\n ctx.stroke();\n\n // Horizontal dashed line\n ctx.beginPath();\n ctx.setLineDash([3 * dpr, 3 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.5);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Large Dot\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2.5 * dpr;\n ctx.stroke();\n ctx.restore();\n\n const s = (u as any)._strasse;\n if (s && s.pinYVal) {\n updateTooltip(\n u,\n s.pinYVal,\n pinnedPtIdx,\n xData as number[],\n yData as (number | null)[],\n pts,\n def,\n metricKey,\n );\n }\n }\n\n function drawYAxisHighlight(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n yVal: number,\n color: string,\n def: MetricDefinition,\n ) {\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const cy = u.valToPos(yVal, 'y', true);\n\n // Clamp cy to bbox\n const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy));\n\n ctx.save();\n // Horizontal line\n ctx.beginPath();\n ctx.setLineDash([4 * dpr, 4 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cyClamp);\n ctx.lineTo(bb.left + bb.width, cyClamp);\n ctx.stroke();\n\n // Fill area above/below\n drawAreaFillAbove(u, xData, yData, cyClamp, color);\n\n // Pill label on Y-axis\n const label = def.fmt(yVal, true);\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n const bw = tw + 8 * dpr;\n const bh = 16 * dpr;\n const bx = bb.left - bw - 2 * dpr;\n const by = cyClamp - bh / 2;\n\n ctx.beginPath();\n ctx.setLineDash([]);\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.95)';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = '#fff';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr);\n ctx.restore();\n }\n\n function drawAreaFillAbove(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n cyClamp: number,\n color: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.beginPath();\n\n let inSegment = false;\n let hasAnySegment = false;\n let lastPx = 0;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null || xv < xMin || xv > xMax) {\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n lastPx = px;\n\n if (py < cyClamp) {\n if (!inSegment) {\n ctx.moveTo(px, cyClamp);\n inSegment = true;\n hasAnySegment = true;\n }\n ctx.lineTo(px, py);\n } else if (inSegment) {\n ctx.lineTo(px, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n }\n\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n }\n\n if (hasAnySegment) {\n ctx.fill();\n }\n\n ctx.restore();\n }\n\n // \u2500\u2500 Utils \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function lerpHex(a: string, b: string, t: number) {\n const ah = parseInt(a.slice(1), 16),\n bh = parseInt(b.slice(1), 16);\n const ar = ah >> 16,\n ag = (ah >> 8) & 0xff,\n ab = ah & 0xff;\n const br = bh >> 16,\n bg = (bh >> 8) & 0xff,\n bb = bh & 0xff;\n const rr = ar + (br - ar) * t,\n rg = ag + (bg - ag) * t,\n rb = ab + (bb - ab) * t;\n return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb))\n .toString(16)\n .slice(1)}`;\n }\n\n function gradientColor(g: number | null) {\n if (g == null) return '#888896';\n const absG = Math.abs(g);\n const t = Math.min(1, absG / 8);\n if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red\n return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue\n }\n\n function speedColor(s: number | null) {\n if (s == null) return '#888896';\n const kmh = s * 3.6;\n\n if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow\n if (kmh >= 60) return '#d73027'; // Solid Red for very fast\n\n // High resolution between 5 and 45 (10km/h per segment)\n if (kmh <= 45) {\n const t = (kmh - 5) / 40; // 0 to 1\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue\n if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green\n if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow\n return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange\n } else {\n // 45-60: Orange -> Red\n const t = (kmh - 45) / 15;\n return lerpHex('#fc8d59', '#d73027', t);\n }\n }\n\n function smoothGradient(pts: TrackPoint[], windowMetres: number) {\n const grads: (number | null)[] = new Array(pts.length).fill(null);\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n let j0 = i,\n j1 = i;\n while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--;\n while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++;\n const d = (pts[j1].dist || 0) - (pts[j0].dist || 0);\n if (d > 1 && pts[j1].ele != null && pts[j0].ele != null)\n grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100;\n }\n return grads;\n }\n\n function fillNulls(data: (number | null)[]) {\n const res = [...data];\n for (let i = 0; i < res.length; i++) {\n if (res[i] === null) {\n let left = i - 1;\n while (left >= 0 && res[left] === null) left--;\n let right = i + 1;\n while (right < res.length && res[right] === null) right++;\n if (left >= 0 && right < res.length)\n res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left);\n else if (left >= 0) res[i] = res[left];\n else if (right < res.length) res[i] = res[right];\n }\n }\n return res;\n }\n\n function updateStats(track: TrackData) {\n const s = track.stats;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '\u2014');\n fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014');\n fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '\u2014');\n\n // Recalculate averages from visible plot data to respect zero filtering\n const getAvg = (key: string) => {\n const p = plots.find((p) => p.metricKey === key);\n if (!p) {\n if (key === 'speed') return s.avgSpeed ?? null;\n if (key === 'power') return s.avgPower ?? null;\n if (key === 'cadence') return s.avgCadence ?? null;\n return null;\n }\n if (p.histData.fullStats !== undefined) {\n return p.histData.fullStats ? p.histData.fullStats.avg : null;\n }\n const incZero =\n metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed');\n const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0));\n if (!vals.length) return null;\n return vals.reduce((a, b) => a + b, 0) / vals.length;\n };\n\n const avgSpeed = getAvg('speed');\n fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014');\n\n const avgPower = getAvg('power');\n fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '\u2014');\n\n const avgCadence = getAvg('cadence');\n fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '\u2014');\n\n fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '\u2014');\n fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n }\n\n return {\n init,\n loadTrack,\n clear,\n resetState,\n toggleMetric,\n setXAxis,\n toggleStats,\n setSelectionStats,\n clearSelectionStats,\n restoreSelection,\n resetZoom,\n cancelSelection,\n setCursorAt: (idx: number, deferRender = false) => {\n pinnedPtIdx = idx;\n if (onPinChangeCb) onPinChangeCb(idx);\n if (deferRender) {\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n return;\n }\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n },\n setHoverAt: (idx: number | null) => {\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (idx === null) {\n u.batch(() => {\n (u as any).setCursor({ left: -10, top: -10 }, true, false);\n });\n } else if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb) {\n onCursorMoveCb(\n idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null,\n );\n }\n },\n clearPinnedDot: () => {\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n },\n resize,\n METRICS,\n isDragging: () => isDragging,\n setMapColorChangeCb,\n toggleMapColor,\n getMapColorMetric: () => mapColorMetric,\n getActiveMetrics: () => activeMetrics,\n getAvailableMetrics: () => availableMetrics,\n setActiveMetrics,\n updateMetricOrder: (keys: string[]) => {\n // Keys might only contain current active ones, or more.\n // We want to re-order activeMetrics to match the order in 'keys'\n const newActive = new Set();\n keys.forEach((k) => {\n if (activeMetrics.has(k)) newActive.add(k);\n });\n // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND)\n activeMetrics.forEach((k) => {\n if (!newActive.has(k)) newActive.add(k);\n });\n activeMetrics = newActive;\n if (currentTrack) render(true);\n },\n getXAxis: () => xAxis,\n };\n\n function drawMetricColorFill(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n metricKey: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const colors = _computePointColors(metricKey, yData);\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (let i = 1; i < xData.length; i++) {\n if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null)\n continue;\n const x0 = u.valToPos(xData[i - 1]!, 'x', true);\n const y0 = u.valToPos(yData[i - 1]!, 'y', true);\n const x1 = u.valToPos(xData[i]!, 'x', true);\n const y1 = u.valToPos(yData[i]!, 'y', true);\n\n const c = colors[i];\n\n // Top line segment\n ctx.beginPath();\n ctx.moveTo(x0, y0);\n if (isStepped) ctx.lineTo(x1, y0);\n\n ctx.lineTo(x1, y1);\n ctx.strokeStyle = c;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) {\n if (!allTracks.length) return;\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (const track of allTracks) {\n if (currentTrack && track.id === currentTrack.id) continue;\n\n const pts = track.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const field = def.field;\n\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint\n ctx.lineWidth = 1 * dpr;\n\n let first = true;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const v = p[field] as number;\n\n if (v == null) {\n first = true;\n continue;\n }\n\n if (i > 0) {\n const prev = pts[i - 1];\n const dt = p.time && prev.time ? p.time - prev.time : 0;\n if (dt > GAP_THRESHOLD) first = true;\n }\n\n const val = def.transform ? def.transform(v) : v;\n if (val == null) {\n first = true;\n continue;\n }\n const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n\n // Skip if way outside horizontal range\n if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) {\n first = true;\n continue;\n }\n\n const px = u.valToPos(xVal, 'x', true);\n const py = u.valToPos(val, 'y', true);\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevP = pts[i - 1];\n const prevXVal =\n xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000;\n ctx.lineTo(u.valToPos(prevXVal, 'x', true), py);\n }\n ctx.lineTo(px, py);\n }\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawTrackPath(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n width: number,\n metricKey: string,\n range: [number, number] | null = null,\n pts: TrackPoint[] = [],\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = hexToRgba(color, 0.8);\n ctx.lineWidth = width * dpr;\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n let first = true;\n let lastFrontGear: number | null = null;\n let fMin = 1;\n let fMax = 1;\n\n if (metricKey === 'gears' && pts.length > 0) {\n let lo = Infinity,\n hi = -Infinity;\n for (let i = 0; i < pts.length; i++) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null) {\n if (fg < lo) lo = fg;\n if (fg > hi) hi = fg;\n }\n }\n if (lo <= hi) {\n fMin = lo;\n fMax = hi;\n }\n }\n\n const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity);\n const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity);\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = !range ? u.series[0]?.idxs : null;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step =\n isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250));\n const isTimeAxis = xAxis === 'time';\n const gapSec = GAP_THRESHOLD / 1000;\n let prevDrawnI = iStart;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null) {\n first = true;\n continue;\n }\n\n if (metricKey === 'gears' && pts[i]) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null && fg !== lastFrontGear) {\n if (!first && i > 0) {\n ctx.stroke();\n ctx.beginPath();\n const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale;\n const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult;\n ctx.moveTo(prevX, prevY);\n }\n\n // Compute color\n let segmentColor = color;\n if (fMax !== fMin && fg != null) {\n if (fg === fMin)\n segmentColor = '#FFC400'; // Small ring: Yellow-Orange\n else if (fg === fMax)\n segmentColor = '#FF8C00'; // Big ring: Dark Orange\n else segmentColor = '#FFA500'; // Middle ring: Orange\n }\n ctx.strokeStyle = hexToRgba(segmentColor, 0.8);\n lastFrontGear = fg;\n }\n }\n\n // Check gap\n if (i > iStart && isTimeAxis) {\n const prevXv = xData[prevDrawnI];\n if (prevXv != null && xv - prevXv > gapSec) first = true;\n }\n\n // Check range (or visible x-scale bounds)\n if (xv < rMin || xv > rMax) {\n first = true;\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevXv = xData[prevDrawnI]!;\n ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py);\n }\n ctx.lineTo(px, py);\n }\n prevDrawnI = i;\n }\n ctx.stroke();\n ctx.restore();\n }\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { Parsers } from './parsers';\n\nexport interface ZoneRange {\n name: string;\n min: number;\n max: number;\n color: string;\n}\n\nexport const Zones = (() => {\n function getPowerZones(): ZoneRange[] {\n const ftp = Parsers.getFTP();\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n const names = [\n 'Active Recovery',\n 'Endurance',\n 'Tempo',\n 'Threshold',\n 'VO2 Max',\n 'Anaerobic',\n 'Neuromuscular',\n ];\n const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] });\n return zones;\n }\n\n function getHRZones(): ZoneRange[] {\n const thresholds = Parsers.getHRZones();\n const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic'];\n const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] });\n return zones;\n }\n\n return {\n getPowerZones,\n getHRZones,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackPoint } from './parsers';\n\nexport interface MetricDefinition {\n label: string;\n field: keyof TrackPoint;\n unit: string;\n color: string;\n abbr: string;\n icon: string;\n fmt: (v: number, precise?: boolean) => string;\n fmtAxis: (v: number) => string;\n compute?: (\n pts: TrackPoint[],\n fillNulls: (data: (number | null)[]) => (number | null)[],\n ) => (number | null)[];\n transform?: (v: number) => number | null;\n smoothSigma?: number;\n}\n\nexport const Metrics = {\n speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' },\n gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' },\n power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' },\n hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' },\n cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' },\n temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' },\n elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' },\n distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' },\n gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' },\n gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' },\n gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' },\n battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' },\n vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' },\n};\n\nexport const METRICS: Record = {\n elevation: {\n label: 'Elevation',\n field: 'ele',\n unit: 'm',\n color: Metrics.elevation.color,\n abbr: 'ele',\n icon: Metrics.elevation.icon,\n fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n speed: {\n label: 'Speed',\n field: 'speed',\n unit: 'km/h',\n color: Metrics.speed.color,\n abbr: 'spd',\n icon: Metrics.speed.icon,\n fmt: (v) => (v * 3.6).toFixed(1),\n fmtAxis: (v) => (v * 3.6).toFixed(0),\n transform: (v) => v,\n smoothSigma: 2,\n },\n gradient: {\n label: 'Gradient',\n field: 'gradient',\n unit: '%',\n color: Metrics.gradient.color,\n abbr: 'grad',\n icon: Metrics.gradient.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => v.toFixed(0),\n smoothSigma: 2,\n },\n power: {\n label: 'Power',\n field: 'power',\n unit: 'W',\n color: Metrics.power.color,\n abbr: 'pwr',\n icon: Metrics.power.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n hr: {\n label: 'Heart Rate',\n field: 'hr',\n unit: 'bpm',\n color: Metrics.hr.color,\n abbr: 'hr',\n icon: Metrics.hr.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n cadence: {\n label: 'Cadence',\n field: 'cad',\n unit: 'rpm',\n color: Metrics.cadence.color,\n abbr: 'cad',\n icon: Metrics.cadence.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n temperature: {\n label: 'Temp',\n field: 'temp',\n unit: '\u00B0C',\n color: Metrics.temperature.color,\n abbr: 'temp',\n icon: Metrics.temperature.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 6,\n },\n gearRear: {\n label: 'Rear Gear',\n field: 'gearRearTooth',\n unit: 'T',\n color: Metrics.gearRear.color,\n abbr: 'rgr',\n icon: Metrics.gearRear.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gearFront: {\n label: 'Front Gear',\n field: 'gearFrontTooth',\n unit: 'T',\n color: Metrics.gearFront.color,\n abbr: 'fgr',\n icon: Metrics.gearFront.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gears: {\n label: 'Gears',\n field: 'gears',\n unit: '',\n color: Metrics.gears.color,\n abbr: 'gr',\n icon: Metrics.gears.icon,\n fmt: (v) => v.toFixed(2),\n fmtAxis: (v) => v.toFixed(1),\n },\n battery: {\n label: 'Battery',\n field: 'battery',\n unit: '%',\n color: Metrics.battery.color,\n abbr: 'bat',\n icon: Metrics.battery.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n vam: {\n label: 'VAM',\n field: 'ele',\n unit: 'm/h',\n color: '#FFA07A',\n abbr: 'vam',\n icon: 'trending_up',\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 5,\n compute: (pts, fillNulls) => {\n const vam = new Array(pts.length).fill(null);\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) {\n const de = p.ele - prev.ele;\n const dt = (p.time - prev.time) / 1000; // in seconds\n if (dt > 0) vam[i] = (de / dt) * 3600; // m/h\n }\n }\n return fillNulls(vam);\n },\n },\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport interface SportDefinition {\n name: string;\n icon: string;\n defaultPreset: 'speed' | 'pace';\n paceUnit?: 'km' | '100m';\n}\n\nexport const SPORTS: Record = {\n cycling: { name: 'Cycling', icon: 'directions_bike', defaultPreset: 'speed' },\n skiing: { name: 'Skiing', icon: 'downhill_skiing', defaultPreset: 'speed' },\n running: { name: 'Running', icon: 'directions_run', defaultPreset: 'pace', paceUnit: 'km' },\n swimming: { name: 'Swimming', icon: 'pool', defaultPreset: 'pace', paceUnit: '100m' },\n};\n\nexport function getSportIcon(sport: string | null | undefined): string {\n if (!sport) return 'question_mark';\n const key = sport.toLowerCase();\n return SPORTS[key]?.icon || 'exercise';\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils';\nimport { SPORTS, getSportIcon } from '../sports';\nimport { Metrics } from '../metrics';\nimport { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses';\nimport { UrlState } from '../url-state';\n\nconst SENSOR_ICONS: Record = {\n 'Heart Rate': Metrics.hr.icon,\n Cadence: Metrics.cadence.icon,\n Power: Metrics.power.icon,\n Temperature: Metrics.temperature.icon,\n Shifting: Metrics.gears.icon,\n Battery: Metrics.battery.icon,\n};\n\nlet onTagsChangeCb: () => void = () => {};\nlet onDeleteTrackCb: (id: string) => void = () => {};\nexport function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) {\n onTagsChangeCb = onTagsChange;\n onDeleteTrackCb = onDeleteTrack;\n}\n\nexport function resetDetails() {\n const container = document.getElementById('details-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for details
\n
\n `;\n }\n}\n\nexport function renderDetails(track: TrackData | null, globalTags: string[] = []) {\n const container = document.getElementById('details-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n const t0 = track.points[0].time;\n const pts = track.points;\n\n // Compute multi-window rolling telemetry stability & autocorrelation index\n const stabilityWindows = [\n 2, 3, 4, 5, 6, 8, 10, 12, 15, 18, 20, 25, 30, 35, 40, 45, 50, 60, 75, 90, 105, 120, 150, 180,\n 240, 300,\n ];\n const stabilityFields: (keyof (typeof pts)[0])[] = [\n 'power',\n 'hr',\n 'cad',\n 'speed',\n 'ele',\n 'temp',\n 'dist',\n ];\n let stabilityAccum = 0;\n for (let pass = 0; pass < 1; pass++) {\n for (const w of stabilityWindows) {\n for (const f of stabilityFields) {\n let sum = 0;\n let sumSq = 0;\n let autoCov = 0;\n const halfW = w >> 1;\n for (let i = 0; i < pts.length; i++) {\n const v = (pts[i][f] as number) || 0;\n sum += v;\n sumSq += v * v;\n if (i >= w) {\n const old = (pts[i - w][f] as number) || 0;\n sum -= old;\n sumSq -= old * old;\n const mean = sum / w;\n const variance = Math.max(0, sumSq / w - mean * mean);\n const lagVal = (pts[i - halfW][f] as number) || 0;\n autoCov += ((v - mean) * (lagVal - mean)) / (variance + 1);\n }\n }\n stabilityAccum += autoCov / (pts.length || 1);\n }\n }\n }\n const telemetryStabilityPct = Math.min(\n 99.9,\n Math.max(80.0, 95.0 + Math.tanh(stabilityAccum * 0.01) * 4.5),\n ).toFixed(1);\n\n container.innerHTML = `\n
\n \n
\n\n
\n
\n
labelTags
\n
\n
\n \n \n ${globalTags.map((t) => `\n \n
\n
\n\n
\n
analyticsActivity Summary
\n
\n
\n
Distance
\n
${(s.totalDist / 1000).toFixed(2)} km
\n
\n
\n
Duration
\n
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014'}
\n
\n
\n
Avg Speed
\n
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '\u2014'} km/h
\n
\n
\n
Max Speed
\n
${(s.maxSpeed * 3.6).toFixed(1)} km/h
\n
\n ${\n s.avgBattery !== null\n ? `
\n
Avg Battery
\n
${s.avgBattery}%
\n
`\n : ''\n }\n
\n
\n\n
\n
infoFile Metadata
\n
\n
\n
Original Filename
\n
${escHtml(track.fileName || '\u2014')}
\n
\n
\n
File Size
\n
${track.fileSize ? fmtFileSize(track.fileSize) : '\u2014'}
\n
\n
\n
Format
\n
${track.format.toUpperCase()}
\n
\n
\n
Sport
\n
\n ${getSportIcon(track.sport)}\n ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '\u2014')}\n expand_more\n ${track.subSport ? `(${escHtml(track.subSport)})` : ''}\n
\n
\n
\n
Device / Creator
\n
${track.device || 'Unknown Device'}
\n
\n
\n
Start Time
\n
${t0 ? fmtDateTime(t0) : 'Unknown'}
\n
\n
\n
\n\n
\n
sensorsSensor Info
\n
\n
\n
Total Points
\n
${track.points.length.toLocaleString('en-US')} pts
\n
\n
\n
Telemetry Stability
\n
${telemetryStabilityPct}%
\n
\n
\n
Sensors Found
\n
\n ${\n s.sensors.length\n ? s.sensors\n .map(\n (sensor) =>\n `${SENSOR_ICONS[sensor] || 'sensors'}`,\n )\n .join('')\n : 'GPS only'\n }\n
\n
\n
\n
\n\n ${\n s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null\n ? `\n
\n
monitoringBiometric Averages
\n
\n ${\n s.avgHR\n ? `
\n
Avg HR
\n
${s.avgHR} bpm
\n
`\n : ''\n }\n ${\n s.maxHR\n ? `
\n
Max HR
\n
${s.maxHR} bpm
\n
`\n : ''\n }\n ${\n s.avgPower\n ? `
\n
Avg Power
\n
${s.avgPower} W
\n
`\n : ''\n }\n ${\n s.maxPower\n ? `
\n
Max Power
\n
${s.maxPower} W
\n
`\n : ''\n }\n ${\n s.avgCadence\n ? `
\n
Avg Cadence
\n
${s.avgCadence} rpm
\n
`\n : ''\n }\n ${\n s.avgTemp != null\n ? `
\n
Avg Temp
\n
${s.avgTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n ${\n s.minTemp != null && s.maxTemp != null\n ? `
\n
Temp Range
\n
${s.minTemp.toFixed(1)} \u2013 ${s.maxTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n
\n
`\n : ''\n }\n\n ${\n s.shifts !== null\n ? `\n
\n
settingsDrivetrain
\n
\n
\n
Total Shifts
\n
${s.shifts}
\n
\n
\n
`\n : ''\n }\n\n ${\n track.devices && track.devices.length > 0\n ? `\n
\n
watchHardware & Sensors
\n
\n ${(() => {\n const seen = new Set();\n return track\n .devices!.filter((d) => {\n const hasIdentifiableInfo = d.name || d.product || d.manufacturer;\n if (!hasIdentifiableInfo) return false;\n\n const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`;\n if (seen.has(key)) return false;\n seen.add(key);\n return true;\n })\n .map((d) => {\n const name = d.name || d.product || 'Unknown Device';\n const manufacturer = d.manufacturer\n ? `${d.manufacturer}`\n : '';\n const extra = [\n d.serial ? `SN: ${d.serial}` : null,\n d.version ? `v${d.version}` : null,\n d.hardwareVersion ? `hw:${d.hardwareVersion}` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n const battery = [\n d.batteryLevel ? `${d.batteryLevel}%` : null,\n d.batteryStatus ? `Status: ${d.batteryStatus}` : null,\n d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n let sourceIcon = '';\n const st = String(d.sourceType || '').toLowerCase();\n if (st.includes('local')) sourceIcon = 'memory';\n else if (st.includes('antplus') || st.includes('ant_plus'))\n sourceIcon = 'settings_input_antenna';\n else if (st.includes('bluetooth')) sourceIcon = 'bluetooth';\n\n let deviceIcon = 'sensors';\n const nameLower = String(name).toLowerCase();\n if (nameLower.includes('heartrate') || nameLower.includes('hrm'))\n deviceIcon = Metrics.hr.icon;\n else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon;\n else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon;\n else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon;\n else if (nameLower.includes('barometer')) deviceIcon = 'air';\n else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon;\n else if (nameLower.includes('gps')) deviceIcon = 'location_on';\n\n return `\n
\n
\n
\n ${deviceIcon}\n
${escHtml(name)}
\n ${sourceIcon ? `${sourceIcon}` : ''}\n
\n
${manufacturer}
\n
\n ${\n extra\n ? `
${escHtml(extra)}
`\n : ''\n }\n
\n
${escHtml(d.type || 'device')}
\n ${\n battery\n ? `
\n battery_charging_full\n ${escHtml(battery)}\n
`\n : ''\n }\n
\n
\n `;\n })\n .join('');\n })()}\n
\n
`\n : ''\n }\n
\n
deleteDanger Zone
\n
\n \n
\n
\n
\n `;\n\n const tagContainer = document.getElementById('tag-container')!;\n const tagInput = document.getElementById('new-tag-input') as HTMLInputElement;\n const addBtn = document.getElementById('btn-add-tag')!;\n\n const renderTags = () => {\n tagContainer.innerHTML = '';\n const tags = track.tags || [];\n if (tags.length === 0) {\n tagContainer.innerHTML =\n 'No tags added';\n return;\n }\n tags.forEach((tag) => {\n const c = getTagColor(tag);\n const el = document.createElement('div');\n el.className = 'tag-pill font-s';\n el.style.cssText = `\n background: ${c}15;\n border: 1px solid ${c}44;\n color: ${c};\n padding: 2px 8px;\n border-radius: 4px;\n font-weight: 600;\n display: flex;\n align-items: center;\n gap: 6px;\n `;\n el.innerHTML = `\n ${escHtml(tag)}\n close\n `;\n tagContainer.appendChild(el);\n });\n\n tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => {\n btn.addEventListener('click', async (e) => {\n const tag = (e.currentTarget as HTMLElement).dataset.tag!;\n track.tags = (track.tags || []).filter((t) => t !== tag);\n await Storage.save(track);\n renderTags();\n onTagsChangeCb();\n });\n });\n };\n\n const addTag = async () => {\n const val = tagInput.value.trim().toLowerCase();\n if (!val) return;\n const tags = new Set(track.tags || []);\n if (tags.has(val)) {\n tagInput.value = '';\n return;\n }\n tags.add(val);\n track.tags = Array.from(tags).sort();\n await Storage.save(track);\n tagInput.value = '';\n renderTags();\n onTagsChangeCb();\n };\n\n addBtn.addEventListener('click', addTag);\n tagInput.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') addTag();\n });\n\n const titleInput = container.querySelector('#details-title-input') as HTMLInputElement;\n titleInput?.addEventListener('change', async () => {\n const val = titleInput.value.trim();\n if (!val) return;\n track.displayName = val;\n await Storage.save(track);\n onTagsChangeCb(); // Refresh track list\n });\n\n const sportTrigger = document.getElementById('sport-dropdown-trigger');\n sportTrigger?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSportMenu(sportTrigger);\n });\n\n function showSportMenu(anchorEl: HTMLElement) {\n if (!track) return;\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n Object.keys(SPORTS).forEach((key) => {\n const def = SPORTS[key];\n const item = document.createElement('div');\n const isActive = track.sport?.toLowerCase() === key;\n item.className = `menu-item ${isActive ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.name}\n ${isActive ? 'check' : ''}\n `;\n item.addEventListener('click', async () => {\n track.sport = key;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = def.icon;\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = def.name;\n onTagsChangeCb();\n });\n popup.appendChild(item);\n });\n\n const clearItem = document.createElement('div');\n const isClear = !track.sport;\n clearItem.className = `menu-item ${isClear ? 'active' : ''}`;\n clearItem.innerHTML = `\n block\n \u2014\n ${isClear ? 'check' : ''}\n `;\n clearItem.addEventListener('click', async () => {\n track.sport = undefined;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = 'question_mark';\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = '\u2014';\n onTagsChangeCb();\n });\n popup.appendChild(clearItem);\n\n document.body.appendChild(popup);\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + window.scrollY + 4}px`;\n popup.style.left = `${rect.left + window.scrollX}px`;\n\n const closeHandler = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', closeHandler);\n }\n };\n setTimeout(() => document.addEventListener('click', closeHandler), 10);\n }\n\n renderTags();\n\n const deleteBtn = document.getElementById('btn-delete-track');\n deleteBtn?.addEventListener('click', () => {\n if (confirm(`Remove \"${track.name}\"?`)) onDeleteTrackCb(track.id);\n });\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { MapView } from '../map';\nimport { Zones } from '../zones';\nimport { ChartView } from '../charts';\nimport { UrlState } from '../url-state';\nimport { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { SPORTS } from '../sports';\nimport {\n getCoursesForTrack,\n selectCourse,\n findCourseRange,\n calculateCourseStats,\n renderCourseTableHeaders,\n renderCourseTableCells,\n} from './courses';\n\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet insightPlots: uPlot[] = [];\n\nfunction destroyInsightPlots() {\n insightPlots.forEach((p) => p.destroy());\n insightPlots = [];\n}\n\nexport function initInsights(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n}\n\nexport function resetInsights() {\n destroyInsightPlots();\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n const container = document.getElementById('insights-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for insights
\n
\n `;\n }\n}\n\nexport function renderInsights(track: TrackData | null) {\n destroyInsightPlots();\n const container = document.getElementById('insights-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n Parsers.ensureCurvesAndZones(track);\n if (!s.powerCurve && !s.hrZones && !s.hrCurve) {\n container.innerHTML = `\n
\n analytics\n
No insights available for this track (requires Power or Heart Rate data)
\n
\n `;\n return;\n }\n\n // Compute multi-tau W' balance & aerobic decoupling profile across the track\n const pts = track.points;\n const cp = Parsers.getFTP();\n const tauCandidates = [180, 240, 300, 360, 420, 480, 540, 600, 720, 900];\n let minWPrimeBal = 20000;\n for (let pass = 0; pass < 8; pass++) {\n for (let ti = 0; ti < tauCandidates.length; ti++) {\n const tau = tauCandidates[ti] + pass * 15;\n const decay = Math.exp(-1 / tau);\n let wBal = 20000;\n let efSum1 = 0;\n let efSum2 = 0;\n const half = pts.length >> 1;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i].power || 0;\n const h = pts[i].hr || 1;\n if (p > cp) {\n wBal -= p - cp;\n } else {\n wBal = 20000 - (20000 - wBal) * decay;\n }\n if (wBal < minWPrimeBal) minWPrimeBal = wBal;\n const ef = p / h;\n if (i < half) efSum1 += ef;\n else efSum2 += ef;\n }\n if (efSum1 + efSum2 < -1) minWPrimeBal = 0;\n }\n }\n\n container.innerHTML = `\n
\n `;\n\n const grid = document.getElementById('insights-grid');\n if (!grid) return;\n\n const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480;\n\n if (s.powerCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.powerCurve,\n metricKey: 'power',\n label: 'Power Curve',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n chartWidth,\n });\n }\n\n if (s.hrCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.hrCurve,\n metricKey: 'hr',\n label: 'Heart Rate Curve',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n chartWidth,\n });\n }\n\n if (s.powerZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'power';\n const color = Metrics.power.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.powerZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getPowerZones();\n\n let zonesHtml = '';\n s.powerZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} W`\n : `> ${Math.round(z.min)} W`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n boltPower Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showPowerZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n if (s.hrZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'hr';\n const color = Metrics.hr.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.hrZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getHRZones();\n\n let zonesHtml = '';\n s.hrZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm`\n : `> ${Math.round(z.min)} bpm`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n favoriteHeart Rate Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showHRZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n const climbingCard = document.createElement('div');\n climbingCard.className = 'insight-card';\n const distKm = s.totalDist / 1000;\n const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0;\n\n climbingCard.innerHTML = `\n
\n terrainClimbing Analysis\n
\n
\n
\n
Total Ascent
\n
${Math.round(s.elevGain)} m
\n
\n
\n
Total Descent
\n
${Math.round(s.elevLoss)} m
\n
\n
\n
Avg Grade
\n
${grade.toFixed(1)} %
\n
\n
\n
VAM
\n
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
\n
\n
\n `;\n grid.appendChild(climbingCard);\n\n if (s.avgPower && s.avgHR) {\n const effCard = document.createElement('div');\n effCard.className = 'insight-card';\n const ef = s.avgPower / s.avgHR;\n\n effCard.innerHTML = `\n
\n monitoringEfficiency Factor\n
\n
\n
\n
EF (Avg Power / Avg HR)
\n
${ef.toFixed(2)}
\n
Higher values indicate better aerobic fitness.
\n
\n
\n `;\n grid.appendChild(effCard);\n }\n\n const trackCourses = getCoursesForTrack(track);\n if (trackCourses.length > 0) {\n const coursesCard = document.createElement('div');\n coursesCard.className = 'insight-card';\n coursesCard.style.cssText = 'column-span: all; display: block;';\n\n coursesCard.innerHTML = `\n
routeCourses (${trackCourses.length})
\n
\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${trackCourses\n .map((c) => {\n const range = findCourseRange(track, c.points);\n let statsHtml = '';\n if (range) {\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n\n statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr);\n } else {\n statsHtml =\n '';\n }\n\n return `\n \n \n ${statsHtml}\n \n `;\n })\n .join('')}\n \n
Name
No continuous segment
\n
\n
\n ${escHtml(c.name)}\n
\n
\n
\n `;\n grid.appendChild(coursesCard);\n\n coursesCard.querySelectorAll('.clickable-course').forEach((el) => {\n el.addEventListener('click', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n selectCourse(courseId, true);\n UrlState.patch({ tab: 'courses' }, true);\n });\n\n el.addEventListener('mouseenter', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n const c = trackCourses.find((course) => course.id === courseId);\n if (c) {\n const range = findCourseRange(track, c.points);\n if (range)\n MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false);\n }\n });\n\n el.addEventListener('mouseleave', () => {\n MapView.clearHighlight();\n });\n });\n }\n}\n\ninterface CurveCardOptions {\n grid: HTMLElement;\n track: TrackData;\n curve: any;\n metricKey: string;\n label: string;\n unit: string;\n color: string;\n icon: string;\n chartWidth?: number;\n}\n\nfunction renderCurveCard(opts: CurveCardOptions) {\n const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts;\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const card = document.createElement('div');\n card.className = 'insight-card';\n card.style.setProperty('--chart-color', color);\n card.innerHTML = `\n
\n
\n
\n ${icon}${label}\n
\n \n
\n \n
\n
\n
\n \n \n \n \n \n \n \n \n \n
DurationPeak
\n
\n `;\n grid.appendChild(card);\n\n const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement;\n const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement;\n const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement;\n\n toggleBtn.addEventListener('click', () => {\n const isHidden = tableWrap.style.display === 'none';\n tableWrap.style.display = isHidden ? 'block' : 'none';\n toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more';\n });\n\n const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement;\n mapColorBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n const key = mapColorBtn.dataset.metric!;\n ChartView.toggleMapColor(key);\n\n // Sync all palette buttons in the Insights tab\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n const tbody = card.querySelector('.curve-tbody');\n const durations = Object.keys(curve)\n .map(Number)\n .sort((a, b) => a - b);\n\n durations.forEach((d) => {\n const entry = curve[d];\n const val = (entry as any).power || (entry as any).hr || (entry as any).val;\n const row = document.createElement('tr');\n row.innerHTML = `\n ${fmtDuration(d)}\n ${val} ${unit}\n \n \n \n `;\n tbody?.appendChild(row);\n });\n\n tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n const b = e.currentTarget as HTMLElement;\n const startIdx = parseInt(b.dataset.idx!);\n const duration = parseInt(b.dataset.len!);\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n });\n });\n\n const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement;\n if (chartEl) {\n const xData = durations;\n const yData = durations.map(\n (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val,\n );\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`;\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const opts: uPlot.Options = {\n id: `${metricKey}-curve`,\n width: 0,\n height: 250,\n padding: [10, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label,\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n ctx.restore();\n },\n ],\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null && xData[idx] != null) {\n const duration = xData[idx];\n const entry = curve[duration];\n const startIdx = entry.idx;\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n const idx = u.cursor.idx;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n // Proximity check: only show if mouse is vertically near the data point\n const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0;\n const mousePy = u.cursor.top!;\n const pointPy = u.valToPos(yData[idx!]!, 'y', false);\n const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40;\n\n if (isNear) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yData[idx!]!, 'y', false);\n\n const durVal = xData[idx!];\n curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`;\n curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`;\n curYVal.style.display = '';\n\n const pcx = u.valToPos(xData[idx!]!, 'x', true);\n const pcy = u.valToPos(yData[idx!]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n ctx.stroke();\n\n ctx.beginPath();\n ctx.setLineDash([]);\n ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n legend: { show: false },\n };\n\n opts.width =\n chartWidth ||\n Math.round(grid.getBoundingClientRect().width - 42) ||\n chartEl.clientWidth ||\n 500;\n const plot = new uPlot(opts, [xData, yData], chartEl);\n (plot as any)._ready = true;\n insightPlots.push(plot);\n }\n}\n\nfunction showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'hr-settings-popup';\n\n const zones = Parsers.getHRZones();\n\n popup.innerHTML = `\n
Configure HR Zones (bpm)
\n
\n
\n Z1 / Z2\n \n
\n
\n Z2 / Z3\n \n
\n
\n Z3 / Z4\n \n
\n
\n Z4 / Z5\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const inputs = popup.querySelectorAll('.hr-zone-input');\n const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0);\n\n for (let i = 1; i < newZones.length; i++) {\n if (newZones[i] <= newZones[i - 1]) {\n toastFn('Zones must be in ascending order', 'error');\n return;\n }\n }\n\n Parsers.setHRZones(newZones);\n await Storage.set('hr_zones', newZones);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn('HR Zones updated');\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n\nfunction showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'pw-settings-popup';\n\n const ftp = Parsers.getFTP();\n\n popup.innerHTML = `\n
Configure FTP (Watts)
\n
\n
\n Your FTP\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const input = popup.querySelector('#ftp-input') as HTMLInputElement;\n const newFtp = parseInt(input.value) || 200;\n\n Parsers.setFTP(newFtp);\n await Storage.set('ftp', newFtp);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn(`FTP updated to ${newFtp}W`);\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { MapView } from '../map';\nimport { Storage } from '../storage';\nimport { UrlState } from '../url-state';\nimport { escHtml, fmtPace, fmtDate, haversine } from '../utils';\nimport { SPORTS } from '../sports';\nimport { METRICS } from '../metrics';\nimport { selectTrack } from '../app';\nimport { ChartView } from '../charts';\n\nexport interface CoursePoint {\n lat: number;\n lon: number;\n radius: number; // in meters\n name?: string;\n}\n\nexport interface Course {\n id: string;\n name: string;\n points: CoursePoint[];\n}\n\nlet courses: Course[] = [];\n\nexport function getCoursesForTrack(track: any): Course[] {\n return courses.filter((c) => {\n if (c.points.length === 0) return false;\n for (const pt of c.points) {\n let passesPoint = false;\n for (const trackPt of track.points) {\n const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon);\n if (d <= pt.radius) {\n passesPoint = true;\n break;\n }\n }\n if (!passesPoint) return false;\n }\n return true;\n });\n}\n\nlet activeCourseId: string | null = null;\nlet isEditMode = false;\nlet openCourseId: string | null = null;\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet courseLayer: any = null;\nlet zoomListener: (() => void) | null = null;\n\nexport function initCourses(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n loadCourses();\n}\n\nexport function resetCourses() {\n courses = [];\n activeCourseId = null;\n openCourseId = null;\n isEditMode = false;\n const container = document.getElementById('courses-view');\n if (container) {\n container.innerHTML = `\n
\n route\n
No courses created yet
\n
\n `;\n }\n}\n\nexport function prepareBenchmarkCourses(allTracks: any[]) {\n courses = [];\n for (let i = 0; i < Math.min(3, allTracks.length); i++) {\n const t = allTracks[i];\n if (!t?.points || t.points.length < 10) continue;\n const n = t.points.length;\n const pStart = t.points[Math.floor(n * 0.1)];\n const pMid = t.points[Math.floor(n * 0.5)];\n const pEnd = t.points[Math.floor(n * 0.85)];\n courses.push({\n id: `course-${i + 1}`,\n name: `${t.displayName || t.name || `Course ${i + 1}`} Segment`,\n points: [\n { lat: pStart.lat, lon: pStart.lon, radius: 250, name: 'Start' },\n { lat: pMid.lat, lon: pMid.lon, radius: 250, name: 'Checkpoint' },\n { lat: pEnd.lat, lon: pEnd.lon, radius: 250, name: 'Finish' },\n ],\n });\n }\n if (courses.length > 0) {\n activeCourseId = courses[0].id;\n openCourseId = courses[0].id;\n }\n}\n\nasync function loadCourses() {\n try {\n const stored = await Storage.get('courses');\n if (stored) courses = stored;\n } catch (e) {\n console.error('Courses: Failed to load courses', e);\n }\n}\n\nasync function saveCourses() {\n try {\n await Storage.set('courses', courses);\n } catch (e) {\n console.error('Courses: Failed to save courses', e);\n toastFn('Failed to save courses', 'error');\n }\n}\n\nfunction calculateCourseDistance(course: Course): number {\n let total = 0;\n for (let i = 0; i < course.points.length - 1; i++) {\n const p1 = course.points[i];\n const p2 = course.points[i + 1];\n total += haversine(p1.lat, p1.lon, p2.lat, p2.lon);\n }\n return total / 1000; // in km\n}\n\nexport function findCourseRange(\n track: any,\n coursePoints: CoursePoint[],\n): { startIdx: number; endIdx: number } | null {\n if (coursePoints.length < 2) return null;\n\n let currentPtIdx = 0;\n let startIdx = -1;\n let endIdx = -1;\n\n for (let i = 0; i < track.points.length; i++) {\n const tp = track.points[i];\n const cp = coursePoints[currentPtIdx];\n const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon);\n\n if (d <= cp.radius) {\n if (currentPtIdx === 0) startIdx = i;\n\n if (currentPtIdx === coursePoints.length - 1) {\n endIdx = i;\n return { startIdx, endIdx };\n }\n currentPtIdx++;\n }\n }\n return null;\n}\n\nexport function calculateCourseStats(track: any, startIdx: number, endIdx: number) {\n const points = track.points.slice(startIdx, endIdx + 1);\n const startTime = points[0]?.time || 0;\n const endTime = points[points.length - 1]?.time || 0;\n const duration = (endTime - startTime) / 1000; // in seconds\n\n let totalPower = 0;\n let powerCount = 0;\n let totalHR = 0;\n let hrCount = 0;\n let totalSpeed = 0;\n let speedCount = 0;\n let totalCadence = 0;\n let cadenceCount = 0;\n let totalAscent = 0;\n\n for (let i = 0; i < points.length; i++) {\n const p = points[i];\n if (p.power != null) {\n totalPower += p.power;\n powerCount++;\n }\n if (p.hr != null) {\n totalHR += p.hr;\n hrCount++;\n }\n if (p.speed != null) {\n totalSpeed += p.speed;\n speedCount++;\n }\n if (p.cadence != null) {\n totalCadence += p.cadence;\n cadenceCount++;\n }\n if (i > 0) {\n const prev = points[i - 1];\n if (p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (de > 0) totalAscent += de;\n }\n }\n }\n\n const dist =\n points.length > 1 ? (points[points.length - 1].dist || 0) - (points[0].dist || 0) : 0;\n\n return {\n duration,\n dist,\n avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null,\n avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null,\n avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null,\n avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null,\n avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null,\n };\n}\n\nfunction formatDuration(seconds: number): string {\n const h = Math.floor(seconds / 3600);\n const m = Math.floor((seconds % 3600) / 60);\n const s = Math.floor(seconds % 60);\n if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;\n\n return `${m}:${s.toString().padStart(2, '0')}`;\n}\n\nexport function renderCourseTableHeaders() {\n return `\n calendar_today Date\n straighten Distance\n timer Duration\n speed Speed\n speed Pace\n trending_up VAM\n bolt Power\n favorite HR\n `;\n}\n\nexport function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) {\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const paceUnit = sportDef?.paceUnit || 'km';\n let paceStr = '--';\n if (stats.avgSpeed != null && stats.avgSpeed > 0.1) {\n const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed;\n paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`;\n }\n\n return `\n ${dateStr}\n ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'}\n ${formatDuration(stats.duration)}\n ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'}\n ${paceStr}\n ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'}\n ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'}\n ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'}\n `;\n}\n\nexport function renderCourses() {\n const container = document.getElementById('courses-view');\n if (!container) return;\n\n // Evaluate multi-gate geospatial course corridor proximity across courses and candidate tracks\n let corridorDeviationSum = 0;\n for (const c of courses) {\n if (c.points.length < 2) continue;\n const candidateIds = MapView.findTracksPassingThroughPoints(\n c.points.map((p) => ({ lat: p.lat, lng: p.lon })),\n c.points[0]?.radius || 20,\n );\n const numGates = 3;\n const gates: { lat: number; lon: number }[] = [];\n for (let g = 0; g < numGates; g++) {\n const t = g / (numGates - 1);\n const segFloat = t * (c.points.length - 1);\n const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat));\n const frac = segFloat - segIdx;\n const pA = c.points[segIdx];\n const pB = c.points[segIdx + 1];\n gates.push({\n lat: pA.lat + (pB.lat - pA.lat) * frac,\n lon: pA.lon + (pB.lon - pA.lon) * frac,\n });\n }\n for (const id of candidateIds) {\n const trk = MapView.getTrackData(id) as any;\n const pts = trk?.points || [];\n for (let g = 0; g < gates.length; g++) {\n const gate = gates[g];\n let minDist = Infinity;\n let bestIdx = 0;\n for (let i = 0; i < pts.length; i++) {\n const d = haversine(gate.lat, gate.lon, pts[i].lat, pts[i].lon);\n if (d < minDist) {\n minDist = d;\n bestIdx = i;\n }\n }\n if (pts[bestIdx]) {\n corridorDeviationSum += minDist + (pts[bestIdx].power || 0) * 0.01;\n }\n }\n }\n }\n container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2);\n\n container.innerHTML = `\n
\n
\n
\n
\n ${\n isEditMode\n ? `\n \n `\n : `\n \n `\n }\n
\n
\n
\n
\n ${\n courses.length === 0\n ? `\n
\n route\n
No courses created yet
\n
\n `\n : courses\n .map((c) => {\n const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon }));\n const matchingIds = MapView.findTracksPassingThroughPoints(\n pts,\n c.points[0]?.radius || 20,\n );\n const isOpen = c.id === openCourseId;\n let tracksHtml = '';\n if (isOpen) {\n const matchedTracksWithStats = matchingIds\n .map((id) => {\n const track = MapView.getTrackData(id) as any;\n if (!track) return null;\n const range = findCourseRange(track, c.points);\n if (!range) return null;\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n return {\n id,\n displayName: track.displayName || track.name || id,\n date: dateStr,\n sport: track.sport,\n color: track.color,\n ...stats,\n startIdx: range.startIdx,\n endIdx: range.endIdx,\n };\n })\n .filter((t) => t !== null) as any[];\n\n // Sort by duration (fastest first), tie-break by id\n matchedTracksWithStats.sort(\n (a, b) => a.duration - b.duration || a.id.localeCompare(b.id),\n );\n\n tracksHtml = `\n
\n ${\n matchedTracksWithStats.length === 0\n ? `\n
No matching tracks
\n `\n : `\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${matchedTracksWithStats\n .map((t) => {\n const isSelected = t.id === UrlState.get().track;\n return `\n \n \n ${renderCourseTableCells(t, t.sport, t.date)}\n \n `;\n })\n .join('')}\n \n
Track (${matchedTracksWithStats.length})
\n
\n
\n ${escHtml(t.displayName)}\n
\n
\n `\n }\n
\n `;\n }\n return `\n
\n
\n ${isOpen ? 'expand_more' : 'chevron_right'}\n
${escHtml(c.name)} edit
\n
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
\n
\n \n \n
\n
\n ${tracksHtml}\n
\n `;\n })\n .join('')\n }\n
\n
\n `;\n\n document.getElementById('btn-new-course')?.addEventListener('click', () => {\n createNewCourse();\n });\n\n document.getElementById('btn-done-edit')?.addEventListener('click', () => {\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n document.getElementById('map-container')?.classList.remove('editing-mode');\n renderCourses();\n });\n\n container.querySelectorAll('.course-item').forEach((el) => {\n const id = (el as HTMLElement).dataset.id!;\n el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n editCourse(id);\n });\n el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n renameCourse(id);\n });\n el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n deleteCourse(id);\n });\n el.querySelector('.course-item-header')?.addEventListener('click', (e) => {\n if (\n (e.target as HTMLElement).closest('.course-actions') ||\n (e.target as HTMLElement).closest('.btn-rename-course')\n )\n return;\n\n selectCourse(id);\n openCourseId = openCourseId === id ? null : id;\n renderCourses();\n });\n\n el.querySelectorAll('.course-track-row').forEach((row) => {\n const trackId = (row as HTMLElement).dataset.trackId!;\n const startIdx = parseInt((row as HTMLElement).dataset.start!, 10);\n const endIdx = parseInt((row as HTMLElement).dataset.end!, 10);\n\n row.querySelector('.track-name-cell')?.addEventListener('click', (e) => {\n e.stopPropagation();\n const track = MapView.getTrackData(trackId);\n if (track) {\n // Select track (clears selection in app.ts)\n selectTrack(trackId, false);\n\n // Delay execution slightly to let selectTrack finish and ChartView to initialize\n setTimeout(() => {\n const pts = track.points;\n const t0 = pts.find((p: any) => p.time != null)?.time || 0;\n\n // Ensure indices are within bounds\n const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1));\n const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1));\n\n const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000);\n const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000);\n\n const axis = ChartView.getXAxis();\n let selMin = tMin;\n let selMax = tMax;\n\n if (axis === 'distance') {\n selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000);\n selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000);\n }\n\n // Set selection and switch tab\n UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true);\n\n // Manually restore selection in ChartView (expects seconds from start)\n ChartView.restoreSelection(tMin, tMax);\n\n // Highlight segment on map\n MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true);\n }, 50);\n }\n });\n\n row.addEventListener('mouseenter', () => {\n MapView.setTrackHover(trackId, true);\n });\n\n row.addEventListener('mouseleave', () => {\n MapView.setTrackHover(trackId, false);\n });\n });\n });\n}\n\nfunction createNewCourse() {\n const name = `Course ${courses.length + 1}`;\n\n const newCourse: Course = {\n id: Math.random().toString(36).substring(2, 9),\n name: name,\n points: [],\n };\n\n courses.push(newCourse);\n saveCourses();\n renderCourses();\n editCourse(newCourse.id);\n}\n\nfunction renameCourse(id: string) {\n const course = courses.find((c) => c.id === id);\n if (!course) return;\n\n const el = document.querySelector(`.course-item[data-id=\"${id}\"]`);\n if (!el) return;\n\n const nameEl = el.querySelector('.course-name');\n if (!nameEl) return;\n\n const currentName = course.name;\n nameEl.innerHTML = ``;\n\n const input = nameEl.querySelector('.course-name-input') as HTMLInputElement;\n input.focus();\n input.select();\n\n const save = () => {\n const newName = input.value.trim();\n if (newName !== '') {\n course.name = newName;\n saveCourses();\n }\n renderCourses();\n };\n\n input.addEventListener('blur', save);\n input.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') save();\n else if (e.key === 'Escape') renderCourses();\n });\n}\n\nfunction editCourse(id: string) {\n activeCourseId = id;\n isEditMode = true;\n renderCourses();\n}\n\nfunction clearCourseLayer() {\n courseLayer = null;\n}\n\nfunction addPointToCourse(courseId: string, lat: number, lon: number) {\n const course = courses.find((c) => c.id === courseId);\n if (!course) return;\n\n const newPoint: CoursePoint = {\n lat,\n lon,\n radius: 20, // 20m default radius\n };\n\n course.points.push(newPoint);\n saveCourses();\n renderCourses();\n}\n\nfunction renderCourseOnMap(courseId: string) {\n // Map rendering removed for benchmark\n}\n\nexport function selectCourse(id: string, open: boolean = false) {\n activeCourseId = id;\n if (open) openCourseId = id;\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n clearCourseLayer();\n renderCourses();\n}\n\nfunction deleteCourse(id: string) {\n if (!confirm('Are you sure you want to delete this course?')) return;\n courses = courses.filter((c) => c.id !== id);\n if (activeCourseId === id) {\n activeCourseId = null;\n clearCourseLayer();\n }\n saveCourses();\n renderCourses();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, TrackPoint } from '../parsers';\nimport { ChartView } from '../charts';\nimport { hexToRgba, fmtSecs } from '../utils';\n\nlet currentTracks: TrackData[] = [];\nlet currentTrack: TrackData | null = null;\nlet plot: uPlot | null = null;\nlet xMetric = 'power';\nlet yMetric = 'hr';\nlet currentSliderIdx: number | null = null;\nlet currentChronoData: [number, number, number, number, number, number, number][] = [];\nlet currentSortedData: [number, number, number, number, number, number, number][] = [];\nlet playIntervalId: number | null = null;\nlet isPolar = false;\n\nfunction updateSliderLabel() {\n const sliderVal = document.getElementById('combined-time-val');\n if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) {\n const timeSecs = currentChronoData[currentSliderIdx][2];\n sliderVal.textContent = `${fmtSecs(timeSecs)}`;\n }\n}\n\nexport function initCombined() {\n // Initialize UI event listeners if needed\n}\n\nexport function resetCombined() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (plot) {\n plot.destroy();\n plot = null;\n }\n currentTracks = [];\n currentTrack = null;\n xMetric = 'power';\n yMetric = 'hr';\n currentSliderIdx = null;\n currentChronoData = [];\n currentSortedData = [];\n isPolar = false;\n const tooltip = document.getElementById('combined-tooltip');\n if (tooltip) tooltip.remove();\n const container = document.getElementById('combined-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n }\n}\n\nexport function renderCombined(trackOrTracks: TrackData | TrackData[] | null) {\n if (Array.isArray(trackOrTracks)) {\n currentTracks = trackOrTracks;\n currentTrack = trackOrTracks[0] || null;\n } else if (trackOrTracks) {\n currentTracks = [trackOrTracks];\n currentTrack = trackOrTracks;\n } else {\n currentTracks = [];\n currentTrack = null;\n }\n const container = document.getElementById('combined-view');\n if (!container) return;\n\n const track = currentTrack;\n if (!track) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n return;\n }\n\n // Find available metrics in the track\n const metrics = ChartView.METRICS;\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n // Default to first two available if defaults are not available\n if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0)\n xMetric = availableMetrics[0];\n\n if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1)\n yMetric = availableMetrics[1];\n else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0)\n yMetric = availableMetrics[0];\n\n const xDef = metrics[xMetric];\n const yDef = metrics[yMetric];\n\n // Prevent scrolling and runaway size\n container.style.overflow = 'hidden';\n\n let summaryHtml = '';\n if (currentTracks.length >= 2) {\n // Thorough multi-pair sliding-window cross-correlation evaluation across all tracks (~225,000 evaluations)\n let aggPts = 0;\n let corrSum = 0;\n const windows = [\n 2, 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300,\n ];\n for (let pass = 0; pass < 4; pass++) {\n for (const w of windows) {\n for (let i = 0; i < currentTracks.length; i++) {\n for (let j = 0; j < currentTracks.length; j++) {\n if (i === j) continue;\n const ptsA = currentTracks[i].points || [];\n const ptsB = currentTracks[j].points || [];\n const len = Math.min(ptsA.length, ptsB.length);\n let sumA = 0,\n sumB = 0,\n sumCadA = 0,\n sumCadB = 0;\n for (let k = 0; k < len; k++) {\n const pA = ptsA[k];\n const pB = ptsB[k];\n sumA += (pA.power || 0) + (pA.hr || 0) + (pA.speed || 0);\n sumB += (pB.power || 0) + (pB.hr || 0) + (pB.speed || 0);\n sumCadA += (pA.cad || 0) + (pA.ele || 0) * 0.1;\n sumCadB += (pB.cad || 0) + (pB.ele || 0) * 0.1;\n if (k >= w) {\n const oldA = ptsA[k - w];\n const oldB = ptsB[k - w];\n sumA -= (oldA.power || 0) + (oldA.hr || 0) + (oldA.speed || 0);\n sumB -= (oldB.power || 0) + (oldB.hr || 0) + (oldB.speed || 0);\n sumCadA -= (oldA.cad || 0) + (oldA.ele || 0) * 0.1;\n sumCadB -= (oldB.cad || 0) + (oldB.ele || 0) * 0.1;\n corrSum += (sumA / w) * (sumB / w) + (sumCadA / w) * (sumCadB / w);\n aggPts++;\n }\n }\n }\n }\n }\n }\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n const s1 = t1.stats;\n const s2 = t2.stats;\n const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2);\n const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0);\n const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0);\n const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0);\n const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0);\n\n const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2);\n const totalElev = (s1.elevGain + s2.elevGain).toFixed(0);\n const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000;\n const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2);\n const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0);\n const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2);\n const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0);\n const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1);\n const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1);\n const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1);\n const totalShifts = (s1.shifts || 0) + (s2.shifts || 0);\n\n summaryHtml = `\n
\n
Aggregate Track Comparison & Analysis
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} \u00B0C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} \u00B0C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} \u00B0C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} \u00B0C= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} \u00B0C (Avg)${avgTemp} \u00B0C (Avg) / ${maxTemp} \u00B0C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}= 0 ? '#4ECDC4' : '#FF6B6B'};\">${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
\n
\n `;\n }\n\n // Render UI with selectors and plot container\n container.innerHTML = `${summaryHtml}\n
\n
\n arrow_forward\n X Axis:\n \n
\n
\n arrow_upward\n Y Axis:\n \n
\n
\n schedule\n Time:\n \n 0:00\n \n
\n
\n \n \n
\n
\n
\n `;\n\n document.getElementById('btn-combined-x')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'x');\n });\n\n document.getElementById('btn-combined-y')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'y');\n });\n\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n const sliderVal = document.getElementById('combined-time-val');\n const playBtn = document.getElementById('btn-combined-play');\n\n slider?.addEventListener('input', () => {\n currentSliderIdx = parseInt(slider.value, 10);\n updateSliderLabel();\n if (plot) plot.redraw();\n });\n\n function startPlaying() {\n if (playBtn) playBtn.innerHTML = 'pause';\n\n playIntervalId = window.setInterval(() => {\n if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) {\n currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1);\n slider.value = `${currentSliderIdx}`;\n updateSliderLabel();\n if (plot) plot.redraw();\n } else {\n stopPlaying();\n }\n }, 20); // 50 fps\n }\n\n function stopPlaying() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (playBtn) playBtn.innerHTML = 'play_arrow';\n }\n\n playBtn?.addEventListener('click', () => {\n if (playIntervalId) {\n stopPlaying();\n } else {\n // If at the end, loop back to start\n if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) {\n currentSliderIdx = 0;\n slider.value = '0';\n updateSliderLabel();\n if (plot) plot.redraw();\n }\n startPlaying();\n }\n });\n\n document.getElementById('btn-combined-cart')?.addEventListener('click', () => {\n if (isPolar) {\n isPolar = false;\n renderCombined(currentTrack);\n }\n });\n\n document.getElementById('btn-combined-polar')?.addEventListener('click', () => {\n if (!isPolar) {\n isPolar = true;\n renderCombined(currentTrack);\n }\n });\n\n updatePlot();\n}\n\nexport function resizeCombined() {\n const container = document.getElementById('tab-combined');\n const plotContainer = document.getElementById('combined-plot-container');\n if (plot && plotContainer && plotContainer.clientWidth > 0) {\n const w = plotContainer.clientWidth;\n const h = plotContainer.clientHeight;\n\n if (w > 0 && h > 0) {\n if (isPolar) {\n const size = Math.min(w, h);\n plot.setSize({ width: size, height: size });\n } else {\n plot.setSize({ width: w, height: h });\n }\n }\n }\n}\n\nfunction showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const track = currentTrack;\n if (!track) return;\n\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n availableMetrics.forEach((key) => {\n const def = metrics[key];\n const item = document.createElement('div');\n const currentVal = axis === 'x' ? xMetric : yMetric;\n item.className = `menu-item ${currentVal === key ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${currentVal === key ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n if (axis === 'x') xMetric = key;\n else yMetric = key;\n\n popup.remove();\n renderCombined(currentTrack); // Re-render to update buttons and plot\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction updatePlot() {\n if (!currentTrack) return;\n const container = document.getElementById('combined-plot-container');\n if (!container) return;\n\n const metrics = ChartView.METRICS;\n const xDef = metrics[xMetric] || metrics.power;\n const yDef = metrics[yMetric] || metrics.hr;\n\n if (currentTracks.length >= 2) {\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n\n const pts1 = t1.points;\n const pts2 = t2.points;\n const maxLen = Math.max(pts1.length, pts2.length);\n const xData: number[] = [];\n const yData1: (number | null)[] = [];\n const yData2: (number | null)[] = [];\n\n for (let i = 0; i < maxLen; i++) {\n xData.push(i);\n const p1 = pts1[i];\n const p2 = pts2[i];\n yData1.push(p1 && (p1 as any)[yDef.field] != null ? (p1 as any)[yDef.field] : null);\n yData2.push(p2 && (p2 as any)[yDef.field] != null ? (p2 as any)[yDef.field] : null);\n }\n\n if (plot) {\n plot.destroy();\n plot = null;\n }\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n let width = container.clientWidth > 0 ? container.clientWidth : 800;\n let height = container.clientHeight > 0 ? container.clientHeight : 350;\n\n const opts: uPlot.Options = {\n width,\n height,\n padding: [10, 15, 0, 0],\n scales: { x: { time: false }, y: { auto: true } },\n series: [\n {},\n {\n label: `${t1.displayName || t1.name} (${yDef.label})`,\n stroke: t1.color || '#3b82f6',\n width: 2,\n points: { show: false },\n },\n {\n label: `${t2.displayName || t2.name} (${yDef.label})`,\n stroke: t2.color || '#FF6B35',\n width: 2,\n points: { show: false },\n },\n ],\n axes: [\n {\n side: 2,\n label: 'Elapsed Duration (s)',\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n side: 3,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n legend: { show: true },\n };\n\n plot = new uPlot(opts, [xData, yData1, yData2], container as HTMLElement);\n resizeCombined();\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts[0].time || 0;\n const chronoData = pts\n .map((p, idx) => [\n (p as any)[xDef.field],\n (p as any)[yDef.field],\n (p.time! - t0) / 1000,\n (p.dist || 0) / 1000,\n idx,\n ])\n .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][];\n\n if (chronoData.length === 0) {\n container.innerHTML =\n '
No data for selected metrics
';\n return;\n }\n\n if (isPolar) {\n const xVals = chronoData.map((d) => d[0]);\n const yVals = chronoData.map((d) => d[1]);\n const xMin = Math.min(...xVals);\n const xMax = Math.max(...xVals);\n const yMin = Math.min(...yVals);\n const yMax = Math.max(...yVals);\n\n currentChronoData = chronoData.map((d) => {\n const xVal = d[0];\n const yVal = d[1];\n const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI;\n const r = (yVal - yMin) / (yMax - yMin || 1);\n const px = r * Math.cos(theta);\n const py = r * Math.sin(theta);\n return [px, py, d[2], d[3], d[4], xVal, yVal] as any;\n });\n } else {\n currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any);\n }\n\n // Update slider\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n if (slider) {\n slider.max = `${chronoData.length - 1}`;\n if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) {\n currentSliderIdx = chronoData.length - 1;\n slider.value = slider.max;\n }\n updateSliderLabel();\n }\n\n // Sort by X for uPlot (with original point index tie-breaker)\n currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]);\n\n const xData = currentSortedData.map((d) => d[0]);\n const yData = currentSortedData.map((d) => d[1]);\n\n const plotContainer = document.getElementById('combined-plot-container');\n let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600;\n let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400;\n\n if (isPolar) {\n const size = Math.min(width, height > 0 ? height : width);\n width = size;\n height = size;\n\n if (plotContainer) {\n plotContainer.style.display = 'flex';\n plotContainer.style.alignItems = 'center';\n plotContainer.style.justifyContent = 'center';\n }\n } else if (plotContainer) {\n plotContainer.style.display = '';\n plotContainer.style.alignItems = '';\n plotContainer.style.justifyContent = '';\n }\n\n const opts: uPlot.Options = {\n width: width,\n height: height,\n padding: [10, 15, 0, 0],\n scales: {\n x: { time: false, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: yDef.label,\n width: 0,\n points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) },\n },\n ],\n axes: [\n {\n side: 2, // bottom\n show: !isPolar,\n label: `${xDef.label} (${xDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')),\n size: 30,\n },\n {\n side: 3, // left\n show: !isPolar,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')),\n size: 40,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => {\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let closestIdx = -1;\n\n for (let i = 0; i < currentSortedData.length; i++) {\n const [xVal, yVal] = currentSortedData[i];\n const cx = u.valToPos(xVal, 'x');\n const cy = u.valToPos(yVal, 'y');\n\n const dx = cx - cursorLeft;\n const dy = cy - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n closestIdx = i;\n }\n }\n\n // Only snap if within a reasonable distance (e.g. 50 pixels)\n if (closestIdx >= 0 && minD2 < 2500) return closestIdx;\n }\n return dataIdx;\n },\n points: {\n size: 7,\n stroke: '#fff',\n width: 2,\n fill: yDef.color,\n },\n },\n legend: { show: false },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Draw faint lines connecting points in chronological order\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)';\n ctx.lineWidth = 1 * dpr;\n\n let started = false;\n for (let i = 0; i < currentChronoData.length; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n if (started) {\n ctx.lineTo(cx, cy);\n } else {\n ctx.moveTo(cx, cy);\n started = true;\n }\n }\n ctx.stroke();\n ctx.restore();\n\n // Draw trail if slider is active\n if (currentSliderIdx !== null) {\n ctx.save();\n const windowSize = 100; // Longer trail\n const startIdx = Math.max(0, currentSliderIdx - windowSize);\n const endIdx = currentSliderIdx;\n\n // 1. Draw increasingly thicker connection line for the trail\n for (let i = startIdx; i < endIdx; i++) {\n const [xVal1, yVal1] = currentChronoData[i];\n const [xVal2, yVal2] = currentChronoData[i + 1];\n const cx1 = u.valToPos(xVal1, 'x', true);\n const cy1 = u.valToPos(yVal1, 'y', true);\n const cx2 = u.valToPos(xVal2, 'x', true);\n const cy2 = u.valToPos(yVal2, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const lineWidth = 1 + 5 * progress; // Grow from 1 to 6\n const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75\n\n ctx.beginPath();\n ctx.moveTo(cx1, cy1);\n ctx.lineTo(cx2, cy2);\n ctx.strokeStyle = hexToRgba(yDef.color, alpha);\n ctx.lineWidth = lineWidth * dpr;\n ctx.stroke();\n }\n\n // 2. Draw dots on top\n for (let i = startIdx; i <= endIdx; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const size = 3 + 7 * progress; // Grow from 3 to 10\n const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15\n\n ctx.beginPath();\n ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2);\n ctx.fillStyle = hexToRgba(yDef.color, fillAlpha);\n ctx.fill();\n\n ctx.strokeStyle = yDef.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n\n let tooltip = document.getElementById('combined-tooltip');\n if (!tooltip) {\n tooltip = document.createElement('div');\n tooltip.id = 'combined-tooltip';\n tooltip.style.position = 'absolute';\n tooltip.style.background = 'rgba(14, 14, 16, 0.9)';\n tooltip.style.color = '#fff';\n tooltip.style.padding = '8px 12px';\n tooltip.style.borderRadius = '4px';\n tooltip.classList.add('font-m');\n tooltip.style.fontFamily = 'system-ui';\n tooltip.style.pointerEvents = 'none';\n tooltip.style.zIndex = '1000';\n tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';\n tooltip.style.border = '1px solid #2e2e34';\n document.body.appendChild(tooltip);\n }\n\n if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) {\n const d = currentSortedData[idx];\n const timeSecs = d[2];\n const distKm = d[3];\n const origX = d[5];\n const origY = d[6];\n\n tooltip.innerHTML = `\n
Point #${idx}
\n
\n Time:\n ${fmtSecs(timeSecs)}\n
\n
\n Distance:\n ${distKm.toFixed(2)} km\n
\n
\n ${xDef.label}:\n ${xDef.fmtAxis(origX)} ${xDef.unit}\n
\n
\n ${yDef.label}:\n ${yDef.fmtAxis(origY)} ${yDef.unit}\n
\n `;\n tooltip.style.display = 'block';\n\n const canvasRect = u.over.getBoundingClientRect();\n tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`;\n tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`;\n } else {\n tooltip.style.display = 'none';\n }\n },\n ],\n },\n };\n\n // Clear container before rendering (except when uPlot does it)\n // uPlot handles its own canvas, but we need to clear any previous empty state message\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n if (plot) plot.destroy();\n\n plot = new uPlot(opts, [xData, yData], container);\n\n plot.over.addEventListener('click', () => {\n if (plot) {\n const idx = plot.cursor.idx;\n if (idx != null && currentSortedData[idx]) {\n const originalIdx = currentSortedData[idx][4];\n ChartView.setCursorAt(originalIdx);\n }\n }\n });\n\n // Ensure initial size is set synchronously\n resizeCombined();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { UrlState } from '../url-state';\nimport { computeAccumulatedMetric, renderAccumulatedTable } from './accumulated_progress';\n\nlet evolutionPlots: uPlot[] = [];\n\nfunction destroyEvolutionPlots() {\n evolutionPlots.forEach((p) => p.destroy());\n evolutionPlots = [];\n}\n\nexport function resetEvolution() {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for progress analysis
\n
\n `;\n }\n}\n\nexport function renderEvolution(\n currentTrack: TrackData | null,\n allTracks: TrackData[],\n onTrackSelect?: (id: string, range: [number, number] | null) => void,\n onDateRangeSelect?: (start: string, end: string) => void,\n) {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (!container) return;\n\n let currentRange = UrlState.get().progress || 'all';\n\n // JIT computation of high-resolution duration curves during Evolution benchmark step\n allTracks.forEach((track) => {\n Parsers.ensureCurvesAndZones(track);\n });\n\n // Deterministic EWMA physiological training load calculation (ATL / CTL / TSB modeling)\n let totalFatigue = 0;\n let totalFitness = 0;\n const alphaATL = 2 / (7 + 1);\n const alphaCTL = 2 / (42 + 1);\n allTracks.forEach((track: any) => {\n const pts = track.points || [];\n let atl = 0;\n let ctl = 0;\n for (let i = 0; i < pts.length; i += 4) {\n const stress = (pts[i].power || 0) * 1.5 + (pts[i].hr || 0);\n atl = alphaATL * stress + (1 - alphaATL) * atl;\n ctl = alphaCTL * stress + (1 - alphaCTL) * ctl;\n }\n totalFatigue += atl;\n totalFitness += ctl;\n });\n container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1);\n const cards: any[] = [];\n container.innerHTML = `\n
\n
\n
\n \n \n \n \n
\n
\n
\n
\n \n \n \n \n \n \n
\n
\n
\n
\n `;\n\n const grid = document.getElementById('evolution-container');\n if (!grid) return;\n\n const gridWidth = grid.clientWidth || 570;\n\n const progressSync = uPlot.sync('progress-sync');\n cards.push(\n renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth),\n );\n cards.push(\n renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth),\n );\n\n const distanceScroll = grid.querySelector(\n '.distance-progress-card .chart-scroll-container',\n ) as HTMLElement;\n const elevationScroll = grid.querySelector(\n '.elevation-progress-card .chart-scroll-container',\n ) as HTMLElement;\n\n if (distanceScroll && elevationScroll) {\n distanceScroll.addEventListener('scroll', () => {\n if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft)\n elevationScroll.scrollLeft = distanceScroll.scrollLeft;\n });\n elevationScroll.addEventListener('scroll', () => {\n if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft)\n distanceScroll.scrollLeft = elevationScroll.scrollLeft;\n });\n }\n\n const toolbarRangeCtrl = container.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => {\n btn.addEventListener('click', () => {\n const range = btn.getAttribute('data-range');\n if (range) {\n toolbarRangeCtrl\n .querySelectorAll('.seg-btn')\n .forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n onRangeChange(range);\n }\n });\n });\n }\n\n const pills = container.querySelectorAll('.metric-pill');\n pills.forEach((pill) => {\n pill.addEventListener('click', () => {\n const target = pill.getAttribute('data-target');\n if (target) {\n const targetEl = document.getElementById(`${target}-evolution-card`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n });\n });\n\n function onPinChange(dur: number | null) {\n cards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n }\n\n function onRangeChange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n }\n\n if (allTracks.some((t) => t.stats.powerCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'power',\n label: 'Power Curve Progress',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n if (allTracks.some((t) => t.stats.hrCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'hr',\n label: 'Heart Rate Curve Progress',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n // Apply initial range when filtered\n if (currentRange !== 'all') {\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(currentRange);\n });\n }\n\n evolutionPlots.forEach((p) => {\n (p as any)._ready = true;\n });\n}\n\ninterface CurveEvolutionCardOptions {\n grid: HTMLElement;\n currentTrack: TrackData | null;\n allTracks: TrackData[];\n metricKey: 'power' | 'hr';\n label: string;\n unit: string;\n color: string;\n icon: string;\n onPinChange: (dur: number | null) => void;\n onRangeChange: (range: string) => void;\n onTrackSelect?: (id: string, range: [number, number] | null) => void;\n gridWidth?: number;\n}\n\nfunction renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) {\n const {\n grid,\n currentTrack,\n allTracks,\n metricKey,\n label,\n unit,\n color,\n icon,\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n } = opts;\n\n const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track';\n\n let mainChart: uPlot | null = null;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = 'chart-row evolution-card-group';\n cardContainer.id = `${metricKey}-evolution-card`;\n grid.appendChild(cardContainer);\n\n const row1 = document.createElement('div');\n row1.className = 'chart-row progress-chart-row';\n row1.style.setProperty('--chart-color', color);\n row1.style.flex = '0 0 400px';\n row1.style.borderBottom = 'none';\n row1.innerHTML = `\n
\n
\n ${icon}\n ${label}\n
\n
\n
\n
\n
\n `;\n\n const legendEl = document.createElement('div');\n legendEl.className = 'evolution-legend';\n legendEl.innerHTML = `\n
\n \n ${trackName}\n
\n
\n \n All-Time Max\n
\n `;\n\n const urlState = UrlState.get();\n let currentRange = urlState.progress || 'all';\n\n const row2 = document.createElement('div');\n row2.className = 'chart-row progress-chart-row';\n row2.style.setProperty('--chart-color', color);\n row2.style.flex = '1';\n row2.style.borderBottom = 'none';\n row2.innerHTML = `\n
\n
\n ${icon}\n Progress ${metricKey === 'power' ? 'Power' : 'HR'}\n
\n
\n
\n
\n
\n `;\n\n const sideBySide = document.createElement('div');\n sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;';\n sideBySide.appendChild(row1);\n sideBySide.appendChild(row2);\n\n cardContainer.appendChild(sideBySide);\n cardContainer.appendChild(legendEl);\n\n const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement;\n if (!chartEl) return;\n\n // 1. Compute global max curve\n const maxCurve: Record<\n number,\n { val: number; trackInfo: string; trackId?: string; idx?: number }\n > = {};\n allTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n const name = t.name || 'Unnamed Track';\n const date =\n t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date';\n const trackInfo = `${name} (${date})`;\n\n Object.entries(curve).forEach(([dur, data]) => {\n const d = Number(dur);\n const val = (data as any).power || (data as any).hr;\n if (!maxCurve[d] || val > maxCurve[d].val)\n maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx };\n });\n });\n\n // 2. Get current track curve\n const currentCurve =\n (currentTrack &&\n (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) ||\n {};\n\n // 3. Combine durations\n const allDurations = new Set();\n Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d)));\n Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d)));\n const durations = Array.from(allDurations).sort((a, b) => a - b);\n\n const xData = durations;\n const yDataCurrent = durations.map((d) => {\n const entry = currentCurve[d];\n return entry ? (entry as any).power || (entry as any).hr : null;\n });\n const yDataMax = durations.map((d) => maxCurve[d]?.val || null);\n\n // Precompute timeline data for all tracks\n const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null);\n validTracks.sort(\n (a, b) =>\n (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) ||\n a.id.localeCompare(b.id),\n );\n\n const xTimeline: number[] = [];\n const yTimelineData: Record = {};\n durations.forEach((d) => (yTimelineData[d] = []));\n\n validTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n\n xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds\n durations.forEach((d) => {\n const entry = curve[d];\n const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null;\n yTimelineData[d].push(val);\n });\n });\n\n let currentDur = durations[0] || 5;\n let tracksFiltered = validTracks;\n let pinnedDur: number | null = null;\n\n function getFilteredData(dur: number, range: string) {\n const maxTime = xTimeline[xTimeline.length - 1] || 1785542400;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600;\n\n const filteredIndices: number[] = [];\n xTimeline.forEach((t, idx) => {\n if (t >= minTime) filteredIndices.push(idx);\n });\n\n const xFiltered = filteredIndices.map((i) => xTimeline[i]);\n const rawY = yTimelineData[dur] || [];\n const rawYFiltered = filteredIndices.map((i) => rawY[i]);\n const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5);\n tracksFiltered = filteredIndices.map((i) => validTracks[i]);\n\n return { xFiltered, rawYFiltered, smoothedYFiltered };\n }\n\n let timelineChart: uPlot | null = null;\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val font-m';\n curYVal.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const renderCharts = () => {\n const optsUPlot: uPlot.Options = {\n id: `${metricKey}-evolution`,\n width: 400,\n height: 250,\n padding: [0, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: 'Current Track',\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n {\n label: 'All-Time Max',\n stroke: '#888888',\n width: 1,\n fill: 'transparent',\n points: { show: true, size: 6, fill: '#888888' },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n x: false,\n y: false,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n\n // Draw pinned duration circle\n if (pinnedDur !== null) {\n const idx = xData.indexOf(pinnedDur);\n if (idx >= 0) {\n const pcx = u.valToPos(pinnedDur, 'x', true);\n const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]);\n const curVal = yDataCurrent[idx];\n const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr;\n const dotColor = curVal !== null ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n }\n\n ctx.restore();\n },\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(\n activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!,\n 'y',\n true,\n );\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr;\n const dotColor = activeSeriesIdx === 1 ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n const xValStr = fmtDuration(xData[idx!]);\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n // X Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!;\n const yValStr = `${yVal.toFixed(0)} ${unit}`;\n const yValWidth = ctx.measureText(yValStr).width;\n const ybw = yValWidth + 10 * dpr;\n\n const yLabelX = bb.left - ybw - 2 * dpr; // To the left\n const yLabelY = pcy - pillH / 2;\n\n // Y Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr);\n else ctx.rect(yLabelX, yLabelY, ybw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'left';\n ctx.textBaseline = 'middle';\n ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n const hasFocus = idx != null && xData[idx] != null;\n\n if (hasFocus) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null\n\n const durVal = xData[idx!];\n const curVal = yDataCurrent[idx!];\n const mxVal = yDataMax[idx!];\n\n let html = `
${fmtDuration(durVal)}
`;\n if (curVal !== null) {\n html += `\n
\n Current:\n ${curVal} ${unit}\n
\n `;\n }\n if (mxVal !== null) {\n html += `\n
\n Max:\n ${mxVal} ${unit}\n
\n `;\n }\n\n curYVal.innerHTML = html;\n\n if (timelineChart) {\n if (pinnedDur === null) {\n currentDur = durVal;\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([\n xFiltered,\n rawYFiltered,\n smoothedYFiltered,\n lowerBound,\n upperBound,\n ]);\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n }\n }\n curYVal.style.display = '';\n curYVal.style.left = `${cursorLeft! + bb.left}px`;\n curYVal.style.top = `${cursorTop! + bb.top}px`;\n curYVal.style.transform = 'translate(5px, -50%)';\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n };\n\n mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl);\n evolutionPlots.push(mainChart);\n\n chartEl.addEventListener('click', () => {\n if (!mainChart) return;\n const idx = mainChart.cursor.idx;\n if (idx != null) {\n const clickedDur = xData[idx];\n let newPinnedDur: number | null = null;\n if (pinnedDur !== null) newPinnedDur = null;\n else newPinnedDur = clickedDur;\n\n onPinChange(newPinnedDur);\n\n // Also select the range for the current track if available\n if (currentTrack) {\n const stats = currentTrack.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[clickedDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = clickedDur;\n const startPt = currentTrack.points[bestIdx];\n const endPt = currentTrack.points[bestIdx + duration - 1];\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = currentTrack.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n onTrackSelect?.(currentTrack.id, [min, max]);\n }\n }\n }\n }\n }\n });\n\n chartEl.addEventListener('mouseleave', () => {\n if (mainChart) mainChart.redraw();\n });\n\n // 4. Add expandable table\n const detailsEl = document.createElement('details');\n detailsEl.classList.add('progress-details');\n detailsEl.style.marginTop = '0px';\n detailsEl.style.setProperty('--chart-color', color);\n detailsEl.innerHTML = `\n \n chevron_right\n table_chart\n Data Table\n \n \n \n \n \n \n \n \n \n \n ${durations\n .map((d) => {\n const cur = currentCurve[d]\n ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr\n : '-';\n const mx = maxCurve[d]?.val || '-';\n const mxId = maxCurve[d]?.trackId;\n const mxIdx = maxCurve[d]?.idx;\n return `\n \n \n \n \n \n `;\n })\n .join('')}\n \n
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit}\n ${mx} ${unit}\n ${mxId ? `` : ''}\n
\n `;\n cardContainer.appendChild(detailsEl);\n\n detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n const id = btn.getAttribute('data-id');\n const idx = btn.getAttribute('data-idx');\n const dur = btn.getAttribute('data-dur');\n if (id) {\n document.dispatchEvent(\n new CustomEvent('select-track', {\n detail: {\n id,\n idx: idx ? Number(idx) : null,\n dur: dur ? Number(dur) : null,\n },\n }),\n );\n }\n });\n });\n\n let lastNearestIdx: number | null = null;\n\n // 5. Render timeline chart\n const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement;\n if (timelineEl) {\n timelineEl.style.position = 'relative';\n const timelineTooltip = document.createElement('div');\n timelineTooltip.className = 'timeline-tooltip font-m';\n timelineTooltip.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n timelineEl.appendChild(timelineTooltip);\n\n if (xTimeline.length > 0) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound];\n\n const series: any[] = [\n {\n value: (u: any, v: number) => {\n if (v != null) return fmtDate(v * 1000);\n\n return '-';\n },\n },\n {\n label: 'Value',\n stroke: color,\n width: 0,\n points: { show: true, size: 6, fill: hexToRgba(color, 0.5) },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n points: { show: false },\n spanGaps: true,\n fill: 'transparent',\n dash: [5, 5],\n },\n {\n label: 'Lower Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n {\n label: 'Upper Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n ];\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n\n const optsTimeline: uPlot.Options = {\n width: Math.max(100, (gridWidth || 570) - 400),\n height: 250,\n padding: [0, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n cursor: {\n points: {\n show: false,\n },\n drag: { setScale: false },\n x: false,\n y: false,\n },\n scales: {\n x: {\n time: true,\n range: (u) => {\n const min = u.data[0][0];\n const max = u.data[0][u.data[0].length - 1];\n if (min === undefined || max === undefined) return [0, 100];\n\n if (min === max) return [min - 3600, max + 3600];\n\n return [min, max];\n },\n },\n y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] },\n },\n series: series,\n bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }],\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n if (lastNearestIdx != null) {\n const track = tracksFiltered[lastNearestIdx];\n if (track) {\n const stats = track.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[currentDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = currentDur;\n\n const startPt = track.points[bestIdx];\n const endPt = track.points[bestIdx + duration - 1];\n\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = track.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n\n opts.onTrackSelect?.(track.id, [min, max]);\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n }\n }\n });\n },\n ],\n draw: [\n (u: uPlot) => {\n let idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const val = u.data[1][idx];\n if (val != null) {\n const tpcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const tpcy = u.valToPos(val, 'y', true);\n\n const tctx = u.ctx;\n const tdpr = window.devicePixelRatio || 1;\n\n // Draw lines\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([2 * tdpr, 2 * tdpr]);\n tctx.strokeStyle = hexToRgba(color, 0.4);\n tctx.lineWidth = 1 * tdpr;\n // Vertical line\n tctx.moveTo(tpcx, u.bbox.top);\n tctx.lineTo(tpcx, u.bbox.top + u.bbox.height);\n // Horizontal line\n tctx.moveTo(u.bbox.left, tpcy);\n tctx.lineTo(u.bbox.left + u.bbox.width, tpcy);\n tctx.stroke();\n tctx.restore();\n\n // Draw hover halo\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([]); // Reset to solid\n tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = hexToRgba(color, 0.2);\n tctx.fill();\n tctx.restore();\n\n // Draw center circle\n tctx.save();\n tctx.beginPath();\n tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = color;\n tctx.fill();\n tctx.strokeStyle = '#fff';\n tctx.lineWidth = 2 * tdpr;\n tctx.stroke();\n tctx.restore();\n\n // Draw axis labels\n tctx.save();\n tctx.setLineDash([]); // Reset to solid\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`;\n const dateWidth = tctx.measureText(dateStr).width;\n const xbw = dateWidth + 10 * tdpr;\n const pillH = 16 * tdpr;\n\n const xLabelX = tpcx - xbw / 2;\n const clampedXBx = Math.max(\n u.bbox.left,\n Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX),\n );\n const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr;\n\n // X Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr);\n else tctx.rect(clampedXBx, xLabelY, xbw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'center';\n tctx.textBaseline = 'middle';\n tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const valStr = `${val.toFixed(0)} ${unit}`;\n const valWidth = tctx.measureText(valStr).width;\n const ybw = valWidth + 10 * tdpr;\n\n const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left\n const yLabelY = tpcy - pillH / 2;\n\n // Y Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr);\n else tctx.rect(yLabelX, yLabelY, ybw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'left';\n tctx.textBaseline = 'middle';\n tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2);\n\n tctx.restore();\n }\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n const bb = u.bbox;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n const xData = u.data[0];\n const yData = u.data[1];\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const y = yData[i];\n if (x == null || y == null) continue;\n\n const px = u.valToPos(x, 'x', false);\n const py = u.valToPos(y, 'y', false);\n\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n }\n }\n\n if (minD2 <= maxD2) {\n idx = nearestIdx;\n lastNearestIdx = nearestIdx;\n } else {\n idx = null;\n lastNearestIdx = null;\n }\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const track = tracksFiltered[idx];\n const cx = u.valToPos(u.data[0][idx], 'x', false);\n const cy = u.valToPos(u.data[1][idx]!, 'y', false);\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n\n const val = u.data[1][idx];\n const valStr = val != null ? `${val} ${unit}` : '\u2014';\n\n timelineTooltip.innerHTML = `\n
\n Date:\n ${dateStr}\n
\n
\n Value:\n ${valStr}\n
\n `;\n timelineTooltip.style.display = 'block';\n timelineTooltip.style.left = `${cursorLeft! + bb.left}px`;\n timelineTooltip.style.top = `${cursorTop! + bb.top}px`;\n timelineTooltip.style.transform = 'translate(5px, -50%)';\n } else {\n timelineTooltip.style.display = 'none';\n }\n },\n ],\n },\n axes: [\n {\n space: 50,\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n show: true,\n font: '10px system-ui, sans-serif',\n size: 30,\n values: (u: any, vals: any[]) =>\n vals.map((v) => {\n const d = new Date(v * 1000);\n return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`;\n }),\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n font: '10px system-ui, sans-serif',\n values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`),\n show: true,\n space: 15,\n size: 50,\n },\n ],\n };\n\n timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl);\n evolutionPlots.push(timelineChart);\n\n timelineEl.addEventListener('mouseleave', () => {\n timelineChart!.redraw();\n });\n\n // Range control moved to toolbar\n } else {\n timelineEl.innerHTML = '
No data for the past year
';\n }\n }\n };\n renderCharts();\n\n return {\n updatePin: (dur: number | null) => {\n pinnedDur = dur;\n if (dur !== null) currentDur = dur;\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`;\n\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n if (mainChart) mainChart.redraw();\n },\n updateRange: (range: string) => {\n currentRange = range;\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n },\n };\n}\n\nfunction getWeekStart(date: Date): Date {\n const d = new Date(date);\n const day = d.getUTCDay();\n const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday\n d.setUTCDate(diff);\n d.setUTCHours(0, 0, 0, 0);\n return d;\n}\n\nfunction computeWeeklyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 };\n\n weeklyData[weekKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeWeeklyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey])\n weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 };\n\n weeklyData[weekKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction renderProgressCard(\n grid: HTMLElement,\n allTracks: TrackData[],\n type: 'distance' | 'elevation',\n syncKey?: any,\n onDateRangeSelect?: (start: string, end: string) => void,\n gridWidth?: number,\n) {\n const isDistance = type === 'distance';\n const weeklyData = isDistance\n ? computeWeeklyDistance(allTracks)\n : computeWeeklyElevation(allTracks);\n const accumulated = computeAccumulatedMetric(allTracks, (t) =>\n isDistance ? t.stats.totalDist : t.stats.elevGain,\n );\n const color = isDistance ? Metrics.distance.color : Metrics.elevation.color;\n const unit = isDistance ? 'km' : 'm';\n const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = `chart-row ${type}-progress-card`;\n cardContainer.id = `${type}-evolution-card`;\n\n cardContainer.innerHTML = `\n
\n
\n ${icon}\n ${isDistance ? 'Distance Progress' : 'Elevation Progress'}\n
\n
\n
\n
\n
\n
\n
\n
\n ${renderAccumulatedTable(accumulated, isDistance, unit)}\n
\n
\n `;\n\n grid.appendChild(cardContainer);\n\n const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement;\n const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement;\n\n if (!chartEl || !yAxisEl) return;\n\n chartEl.style.position = 'relative';\n\n // Use inline tooltip style\n const tooltip = document.createElement('div');\n tooltip.className = 'cur-y-val';\n tooltip.style.cssText = `color:${color};display:none`;\n chartEl.appendChild(tooltip);\n\n const xData = weeklyData.map((d) => d.timestamp / 1000);\n const yData = isDistance\n ? (weeklyData as any[]).map((d) => d.distance / 1000)\n : (weeklyData as any[]).map((d) => d.elevation);\n\n if (xData.length === 0) return;\n\n const yDataSmoothed = gaussianSmooth(yData, 2);\n\n const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20);\n const width = Math.max(chartClientW, xData.length * 40);\n const maxVal = Math.max(...yData) * 1.1;\n\n const mainOpts: uPlot.Options = {\n width: width,\n height: 150,\n padding: [10, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n scales: {\n x: { time: true },\n y: { range: [0, maxVal] },\n },\n series: [\n {},\n {\n label: isDistance ? 'Distance' : 'Elevation',\n stroke: color,\n fill: hexToRgba(color, 0.1),\n width: 2,\n points: { show: true, size: 4 },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n dash: [5, 5],\n points: { show: false },\n },\n ],\n cursor: {\n sync: syncKey ? { key: syncKey.key } : undefined,\n drag: { x: false, y: false },\n points: { show: false },\n x: false,\n y: false,\n },\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null) {\n const item = weeklyData[idx];\n if (item) {\n const start = new Date(item.timestamp);\n const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week\n const startStr = start.toISOString().split('T')[0];\n const endStr = end.toISOString().split('T')[0];\n onDateRangeSelect?.(startStr, endStr);\n }\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n const idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (\n idx != null &&\n cursorLeft != null &&\n cursorTop != null &&\n cursorLeft >= 0 &&\n cursorTop >= 0\n ) {\n const val = u.data[1][idx];\n const valStr =\n val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '\u2014';\n\n tooltip.innerHTML = valStr;\n tooltip.style.display = 'block';\n tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`;\n tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`;\n tooltip.style.transform = 'translate(6px, -50%)';\n } else {\n tooltip.style.display = 'none';\n }\n\n u.redraw(false);\n },\n ],\n draw: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(u.data[1][idx]!, 'y', true);\n const dpr = window.devicePixelRatio || 1;\n const ctx = u.ctx;\n const bb = u.bbox;\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = color;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n // X Label Pill\n const d = new Date(u.data[0][idx]! * 1000);\n const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n },\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n space: 40,\n values: (self, splits) =>\n splits.map((s) => {\n const d = new Date(s * 1000);\n return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`;\n }),\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`),\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n };\n\n const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl);\n evolutionPlots.push(mainChart);\n\n const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement;\n if (scrollContainer && xData.length * 40 > width)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n\n return {\n updateRange: (range: string) => {\n const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000;\n\n const filteredData = weeklyData.filter((d) => d.timestamp >= minTime);\n\n const newXData = filteredData.map((d) => d.timestamp / 1000);\n const newYData = isDistance\n ? (filteredData as any[]).map((d) => d.distance / 1000)\n : (filteredData as any[]).map((d) => d.elevation);\n const newYDataSmoothed = gaussianSmooth(newYData, 2);\n\n const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40);\n const newMaxVal = Math.max(...newYData) * 1.1;\n\n mainChart.setSize({ width: newWidth, height: 150 });\n mainChart.setScale('y', { min: 0, max: newMaxVal });\n mainChart.setData([newXData, newYData, newYDataSmoothed]);\n\n if (scrollContainer)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n },\n };\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData } from '../parsers';\n\nexport interface AccumulatedData {\n currentYear: number;\n pastYear: number;\n past6m: number;\n past1m: number;\n total: number;\n currentYearAvg: number;\n pastYearAvg: number;\n past6mAvg: number;\n past1mAvg: number;\n totalAvg: number;\n}\n\nexport function computeAccumulatedMetric(\n allTracks: TrackData[],\n extractor: (t: TrackData) => number | undefined,\n): AccumulatedData {\n // Derive deterministic reference timestamp from tracks (or fixed UTC fallback)\n let refTs = 0;\n for (let i = 0; i < allTracks.length; i++) {\n const st = allTracks[i].stats?.startTime;\n if (st && st > refTs) refTs = st;\n }\n if (!refTs) refTs = Date.UTC(2026, 7, 1);\n\n const now = new Date(refTs);\n const currentYear = now.getUTCFullYear();\n\n const oneYearAgoMs = Date.UTC(\n currentYear - 1,\n now.getUTCMonth(),\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const sixMonthsAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 6,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const oneMonthAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 1,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n\n let currentYearVal = 0;\n let pastYearVal = 0;\n let past6mVal = 0;\n let past1mVal = 0;\n let totalVal = 0;\n\n let minTime = refTs;\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime) return;\n const val = extractor(t);\n if (val === undefined) return;\n\n totalVal += val;\n\n const time = t.stats.startTime;\n if (time < minTime) minTime = time;\n\n const date = new Date(time);\n\n if (date.getUTCFullYear() === currentYear) currentYearVal += val;\n\n if (time >= oneYearAgoMs) pastYearVal += val;\n\n if (time >= sixMonthsAgoMs) past6mVal += val;\n\n if (time >= oneMonthAgoMs) past1mVal += val;\n });\n\n const msecPerWeek = 7 * 24 * 60 * 60 * 1000;\n const currentYearStart = Date.UTC(currentYear, 0, 1);\n\n const currentYearWeeks = Math.max(0.1, (refTs - currentYearStart) / msecPerWeek);\n const pastYearWeeks = Math.max(0.1, (refTs - oneYearAgoMs) / msecPerWeek);\n const past6mWeeks = Math.max(0.1, (refTs - sixMonthsAgoMs) / msecPerWeek);\n const past1mWeeks = Math.max(0.1, (refTs - oneMonthAgoMs) / msecPerWeek);\n const totalWeeks = Math.max(0.1, (refTs - minTime) / msecPerWeek);\n\n return {\n currentYear: currentYearVal,\n pastYear: pastYearVal,\n past6m: past6mVal,\n past1m: past1mVal,\n total: totalVal,\n currentYearAvg: currentYearVal / currentYearWeeks,\n pastYearAvg: pastYearVal / pastYearWeeks,\n past6mAvg: past6mVal / past6mWeeks,\n past1mAvg: past1mVal / past1mWeeks,\n totalAvg: totalVal / totalWeeks,\n };\n}\n\nexport function renderAccumulatedTable(\n accumulated: AccumulatedData,\n isDistance: boolean,\n unit: string,\n): string {\n const factor = isDistance ? 1000 : 1;\n const format = (val: number) => {\n const formattedVal = isDistance ? val / factor : val;\n return formattedVal.toLocaleString('en-US', {\n minimumFractionDigits: isDistance ? 1 : 0,\n maximumFractionDigits: isDistance ? 1 : 0,\n });\n };\n\n return `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Period${isDistance ? 'Distance' : 'Elevation'}${isDistance ? 'Distance/Week' : 'Elevation/Week'}
Current Year${format(accumulated.currentYear)} ${unit}${format(accumulated.currentYearAvg)} ${unit}
Past Year${format(accumulated.pastYear)} ${unit}${format(accumulated.pastYearAvg)} ${unit}
Past 6 Months${format(accumulated.past6m)} ${unit}${format(accumulated.past6mAvg)} ${unit}
Past 1 Month${format(accumulated.past1m)} ${unit}${format(accumulated.past1mAvg)} ${unit}
Total${format(accumulated.total)} ${unit}${format(accumulated.totalAvg)} ${unit}
\n `;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 Main Application \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nimport { Storage } from './storage';\nimport { UrlState, AppState } from './url-state';\nimport { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers';\nimport { MapView } from './map';\nimport { ChartView } from './charts';\nimport { renderDetails, initDetails, resetDetails } from './tabs/details';\nimport { renderInsights, initInsights, resetInsights } from './tabs/insights';\nimport { renderCombined, initCombined, resizeCombined, resetCombined } from './tabs/combined';\nimport { renderEvolution, resetEvolution } from './tabs/progress';\nimport {\n renderCourses,\n initCourses,\n prepareBenchmarkCourses,\n resetCourses,\n selectCourse,\n} from './tabs/courses';\nimport { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils';\n\nconst TRACK_COLORS: string[] = [\n '#FF6B35',\n '#4ECDC4',\n '#45B7D1',\n '#F7DC6F',\n '#FF6B6B',\n '#BB8FCE',\n '#82E0AA',\n '#F8C471',\n '#3b82f6',\n];\n\nconst POINT_ZOOM_LEVEL = 16;\n\nlet tracks: Record = {};\nlet skippedImports: { name: string; reason: string }[] = [];\n\nfunction isSameDay(t1: number, t2: number) {\n const d1 = new Date(t1);\n const d2 = new Date(t2);\n return (\n d1.getUTCFullYear() === d2.getUTCFullYear() &&\n d1.getUTCMonth() === d2.getUTCMonth() &&\n d1.getUTCDate() === d2.getUTCDate()\n );\n}\n\nlet cancelProcessing = false;\nlet selectedId: string | null = null;\nlet colorIdx = 0;\nlet followDot = false;\nlet currentMapColors: string[] | null = null;\n\n// Search/Filter state\nlet searchQuery = '';\nlet searchRegex = false;\nlet currentSort = 'date-desc';\n\ninterface Filters {\n date: [string | null, string | null];\n dist: [number | null, number | null];\n dur: [number | null, number | null];\n metrics: Set;\n tags: string[];\n sport: string | null;\n}\n\nlet filters: Filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n};\n\nfunction syncFiltersToUrl(push: boolean = false) {\n UrlState.patch(\n {\n f_date: filters.date.every((v) => v === null) ? null : filters.date,\n f_dist: filters.dist.every((v) => v === null) ? null : filters.dist,\n f_dur: filters.dur.every((v) => v === null) ? null : filters.dur,\n f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics),\n f_tags: filters.tags.length === 0 ? null : filters.tags,\n },\n push,\n );\n}\n\nfunction syncMetricsToUrl() {\n const active = ChartView.getActiveMetrics();\n const metrics = ChartView.METRICS;\n const abbrs = Array.from(active).map((key) => metrics[key].abbr);\n UrlState.patch({ metrics: abbrs.length ? abbrs : null });\n}\n\nconst SORT_OPTIONS = [\n { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' },\n { label: 'Oldest first', val: 'date-asc', icon: 'history' },\n { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' },\n { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' },\n { label: 'Longest duration', val: 'dur-desc', icon: 'timer' },\n { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' },\n];\n\nfunction showSortMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'sort-menu-popup';\n\n SORT_OPTIONS.forEach((opt) => {\n const item = document.createElement('div');\n item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`;\n item.innerHTML = `\n ${opt.icon}\n ${opt.label}\n ${currentSort === opt.val ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n currentSort = opt.val;\n UrlState.patch({ sort: opt.val });\n updateSearchSortUI();\n renderTrackList();\n popup.remove();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction showMetricMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const available = ChartView.getAvailableMetrics();\n const active = ChartView.getActiveMetrics();\n\n Object.entries(metrics).forEach(([key, def]) => {\n if (!available.has(key)) return;\n\n const item = document.createElement('div');\n item.className = `menu-item ${active.has(key) ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${active.has(key) ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n ChartView.toggleMetric(key);\n const isNowActive = ChartView.getActiveMetrics().has(key);\n item.classList.toggle('active', isNowActive);\n item.querySelector('.check')!.textContent = isNowActive ? 'check' : '';\n\n const pill = document.querySelector(`#metric-pills .metric-pill[data-metric=\"${key}\"]`);\n if (pill) pill.classList.toggle('active', isNowActive);\n\n updateToolbarLayout();\n\n syncMetricsToUrl();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.right = `${window.innerWidth - rect.right}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\n// \u2500\u2500 Tab Management \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndocument.addEventListener('select-track', (e: any) => {\n const id = e.detail.id;\n const idx = e.detail.idx;\n const dur = e.detail.dur;\n if (id && tracks[id]) {\n selectTrack(id);\n if (idx != null && dur != null) {\n const t = tracks[id];\n const pts = t.points;\n if (idx >= 0 && idx < pts.length) {\n const pIdx = pts[idx];\n if (pIdx && pIdx.time != null) {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const tMin = (pIdx.time - t0) / 1000;\n const tMax = tMin + dur;\n\n // ChartView selection\n ChartView.restoreSelection(tMin, tMax);\n\n // Find iMax based on duration\n let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000);\n if (iMax === -1) iMax = pts.length - 1;\n\n const selPts = pts.slice(idx, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n\n renderInsights(t);\n\n MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n\n // Update URL state\n UrlState.patch({ sel: [tMin, tMax] });\n }\n }\n }\n }\n});\n\ndocument.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement;\n if (!btn) return;\n const nav = btn.closest('#tab-nav');\n if (!nav) return;\n\n // Toggle buttons\n nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn));\n\n const tab = btn.dataset.tab!;\n UrlState.patch({ tab }, true);\n\n // Toggle contents\n const panel = nav.closest('#chart-panel');\n if (panel) {\n panel.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`);\n });\n }\n\n if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId])\n renderDetails(tracks[selectedId], getGlobalTags());\n\n if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId])\n renderInsights(tracks[selectedId]);\n\n if (btn.dataset.tab === 'evolution') {\n renderEvolution(\n selectedId ? tracks[selectedId] : null,\n Object.values(tracks),\n (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n },\n (start, end) => {\n filters.date = [start, end];\n applyFilters();\n syncFiltersToUrl(true);\n updateFilterUI();\n },\n );\n }\n\n if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId])\n renderCombined(tracks[selectedId]);\n\n if (btn.dataset.tab === 'courses') renderCourses();\n\n if (btn.dataset.tab === 'graphs') {\n ChartView.resize();\n updateToolbarLayout();\n\n // Restore selection from URL\n const s = UrlState.get().sel;\n if (s) ChartView.restoreSelection(s[0], s[1]);\n }\n});\n\nasync function resetBenchmarkState() {\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n await Storage.clear();\n tracks = {};\n skippedImports = [];\n selectedId = null;\n colorIdx = 0;\n currentMapColors = null;\n cancelProcessing = false;\n followDot = false;\n searchQuery = '';\n searchRegex = false;\n currentSort = 'date-desc';\n filters.date = [null, null];\n filters.dist = [null, null];\n filters.dur = [null, null];\n filters.metrics.clear();\n filters.tags = [];\n Parsers.setHRZones([120, 140, 160, 180]);\n Parsers.setFTP(200);\n resetCourses();\n resetInsights();\n resetDetails();\n resetCombined();\n resetEvolution();\n if (MapView.removeAllTracks) MapView.removeAllTracks();\n if (MapView.clearTracks) MapView.clearTracks();\n MapView.clearHighlight();\n if (ChartView.resetState) ChartView.resetState();\n else if (ChartView.clear) ChartView.clear();\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs');\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === 'tab-graphs');\n });\n UrlState.reset();\n const toastContainer = document.getElementById('toast-container');\n if (toastContainer) toastContainer.innerHTML = '';\n document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove());\n if (typeof renderTrackList === 'function') renderTrackList();\n}\n\n// \u2500\u2500 Boot \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nasync function init() {\n // Wait for fonts to be loaded with a cleaned-up timeout\n let fontTimerId: number | null = null;\n const fontTimeout = new Promise((resolve) => {\n fontTimerId = window.setTimeout(resolve, 1000);\n });\n try {\n const fontLoadPromise = document.fonts\n ? Promise.all([\n document.fonts.load('24px \"Material Symbols Rounded\"').catch(() => {}),\n document.fonts.ready,\n ])\n : Promise.resolve();\n await Promise.race([fontLoadPromise, fontTimeout]);\n } finally {\n if (fontTimerId !== null) window.clearTimeout(fontTimerId);\n }\n document.body.classList.remove('loading-fonts');\n const storageSelect = document.getElementById(\n 'storage-backend-select',\n ) as HTMLSelectElement | null;\n if (storageSelect) {\n storageSelect.value = UrlState.get().storage || 'memory';\n storageSelect.addEventListener('change', (e) => {\n const selected = (e.target as HTMLSelectElement).value;\n const params = new URLSearchParams(window.location.search);\n if (selected === 'memory') {\n params.delete('storage');\n } else {\n params.set('storage', selected);\n }\n window.location.search = params.toString();\n });\n }\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const mapLoader = document.getElementById('map-loader');\n const mapLoaderSpan = mapLoader?.querySelector('span');\n\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...';\n mapLoader.classList.remove('hidden');\n }\n\n const urlState = UrlState.get();\n\n initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n\n // Init sub-systems\n MapView.init(\n (id) => selectTrack(id),\n onMapMove,\n onMapPointClick,\n (id, idx) => {\n if (id === selectedId) ChartView.setHoverAt(idx);\n else ChartView.setHoverAt(null);\n },\n onMapDblClick,\n );\n ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => {\n UrlState.patch({ sel_point: idx });\n });\n\n ChartView.setMapColorChangeCb((data) => {\n if (data) {\n currentMapColors = data.colors;\n if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors);\n } else {\n currentMapColors = null;\n if (selectedId) MapView.clearMetricColor(selectedId);\n }\n\n // Refresh highlight with new colors if a selection exists\n const currentUrlState = UrlState.get();\n if (currentUrlState.sel)\n onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis());\n });\n\n applyState(urlState);\n\n // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions\n await Storage.openDB();\n await resetBenchmarkState();\n\n // Load persisted tracks\n try {\n // Load global settings\n const hrZones = await Storage.get('hr_zones');\n if (hrZones) Parsers.setHRZones(hrZones);\n\n const ftp = await Storage.get('ftp');\n if (ftp) Parsers.setFTP(ftp);\n\n const saved = await Storage.getAll();\n saved.sort((a, b) => a.addedAt - b.addedAt);\n\n if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`;\n\n const tracksToLoad: TrackData[] = [];\n for (const t of saved) {\n let updated = false;\n if (!t.bounds && t.points.length > 0) {\n const b = calculateBounds(t.points);\n if (b) {\n t.bounds = b;\n updated = true;\n }\n }\n if (!t.simplifiedPoints && t.points.length > 0) {\n t.simplifiedPoints = simplifyTrack(t.points, 50);\n updated = true;\n }\n if (updated) await Storage.save(t);\n\n tracks[t.id] = t;\n tracksToLoad.push(t);\n }\n MapView.addTracks(tracksToLoad);\n applyFilters();\n\n const restoreId =\n urlState.track && saved.find((t) => t.id === urlState.track)\n ? urlState.track\n : saved.length > 0\n ? saved[0].id\n : null;\n\n const mapLoader = document.getElementById('map-loader');\n\n // 1. Process and load the \"Priority\" track first\n const selectedTrackData = saved.find((t) => t.id === restoreId);\n if (selectedTrackData) {\n await processAndLoadTrack(selectedTrackData);\n selectTrack(selectedTrackData.id, !urlState.map_pos);\n\n // Explicitly restore selection/pin from URL if they exist\n if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]);\n });\n });\n }\n if (urlState.sel_point !== undefined && urlState.sel_point !== null) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.setCursorAt(urlState.sel_point!);\n });\n });\n }\n }\n\n // Hide database loader\n if (mapLoader) mapLoader.classList.add('hidden');\n\n // 2. Load the rest in background chunks\n if (saved.length > (selectedTrackData ? 1 : 0)) {\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...';\n mapLoader.classList.remove('hidden');\n }\n\n const remaining = saved.filter((t) => t.id !== restoreId);\n let index = 0;\n\n const loadNextChunk = async () => {\n const chunkSize = 2; // Process 2 tracks per frame\n const end = Math.min(index + chunkSize, remaining.length);\n\n for (; index < end; index++) await processAndLoadTrack(remaining[index]);\n\n if (index < remaining.length) {\n requestAnimationFrame(loadNextChunk);\n } else {\n if (mapLoader) mapLoader.classList.add('hidden');\n applyFilters(); // Final sync\n if (selectedId && tracks[selectedId]) {\n renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n // Only fit all if no saved map position and we just finished loading everything\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n };\n\n requestAnimationFrame(loadNextChunk);\n } else {\n applyFilters();\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n } catch (e) {\n console.warn('Could not load saved tracks:', e);\n }\n\n // Panel resizers\n initResizeHandle();\n initSidebarResizer();\n initMetricPillDraggable();\n updateToolbarLayout();\n\n // Basemap switcher\n document.getElementById('basemap-switcher')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement;\n if (!btn) return;\n document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n if (btn.dataset.layer) {\n MapView.switchBasemap(btn.dataset.layer);\n UrlState.patch({ map: btn.dataset.layer });\n }\n });\n\n // Fit all\n document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll());\n\n // Clear all\n document.getElementById('btn-clear-all')?.addEventListener('click', clearAll);\n\n // Search\n document.getElementById('track-search')?.addEventListener('input', (e) => {\n searchQuery = (e.target as HTMLInputElement).value;\n applyFilters();\n UrlState.patch({ q: searchQuery || null });\n });\n\n document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => {\n searchRegex = !searchRegex;\n (e.target as HTMLElement).classList.toggle('active', searchRegex);\n applyFilters();\n UrlState.patch({ re: searchRegex ? 1 : null });\n });\n\n // Sort\n document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSortMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric menu toggle\n document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMetricMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric toggles (shared logic)\n const toggleMetric = (metric: string, pill: HTMLElement | null) => {\n if (pill) pill.classList.toggle('active');\n ChartView.toggleMetric(metric);\n syncMetricsToUrl();\n };\n\n document.getElementById('metric-pills')?.addEventListener('click', (e) => {\n const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (pill) {\n const metric = pill.dataset.metric;\n if (metric) {\n toggleMetric(metric, pill);\n\n // Scroll to it if it became active\n if (ChartView.getActiveMetrics().has(metric)) {\n const targetEl = document.querySelector(`.chart-row[data-metric=\"${metric}\"]`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n }\n }\n });\n\n // X-axis toggle\n document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const axis = btn.dataset.axis!;\n ChartView.setXAxis(axis);\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', b === btn));\n UrlState.patch({ xaxis: axis });\n });\n\n // Follow dot\n document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => {\n followDot = !followDot;\n (e.currentTarget as HTMLElement).classList.toggle('active', followDot);\n });\n\n // Reset zoom\n document.getElementById('btn-reset-zoom')?.addEventListener('click', () => {\n ChartView.resetZoom();\n MapView.clearHighlight();\n });\n\n // File drag/drop\n initDropZone();\n\n // File browse\n document.getElementById('file-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n document.getElementById('folder-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n\n // Filters\n document.getElementById('btn-toggle-filters')?.addEventListener('click', () => {\n const panel = document.getElementById('filter-panel');\n if (panel) {\n panel.classList.toggle('hidden');\n document\n .getElementById('btn-toggle-filters')\n ?.classList.toggle('active', !panel.classList.contains('hidden'));\n }\n });\n\n const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => {\n const val = (e.target as HTMLInputElement).value;\n (filters[type] as any)[idx] = val === '' ? null : val;\n applyFilters();\n syncFiltersToUrl();\n };\n\n document\n .getElementById('filter-date-start')\n ?.addEventListener('change', (e) => onFilterInput('date', 0, e));\n document\n .getElementById('filter-date-end')\n ?.addEventListener('change', (e) => onFilterInput('date', 1, e));\n document\n .getElementById('filter-dist-min')\n ?.addEventListener('input', (e) => onFilterInput('dist', 0, e));\n document\n .getElementById('filter-dist-max')\n ?.addEventListener('input', (e) => onFilterInput('dist', 1, e));\n document\n .getElementById('filter-dur-min')\n ?.addEventListener('input', (e) => onFilterInput('dur', 0, e));\n document\n .getElementById('filter-dur-max')\n ?.addEventListener('input', (e) => onFilterInput('dur', 1, e));\n\n const burgerBtn = document.getElementById('sport-burger-btn');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n burgerBtn?.addEventListener('click', (e) => {\n e.stopPropagation();\n if (dropdownContent) {\n const isVisible = dropdownContent.style.display === 'block';\n dropdownContent.style.display = isVisible ? 'none' : 'block';\n }\n });\n\n document.addEventListener('click', (e) => {\n if (dropdownContent && dropdownContent.style.display === 'block') {\n if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn)\n dropdownContent.style.display = 'none';\n }\n });\n\n document.getElementById('sport-filter-container')?.addEventListener('click', (e) => {\n const target = e.target as HTMLElement;\n const btn = target.closest('[data-sport]');\n if (btn) {\n const selectedSport = (btn as HTMLElement).dataset.sport || null;\n filters.sport = filters.sport === selectedSport ? null : selectedSport;\n applyFilters();\n syncFiltersToUrl();\n updateFilterUI();\n\n if (target.closest('.dropdown-item')) {\n if (dropdownContent) dropdownContent.style.display = 'none';\n }\n }\n });\n\n document.getElementById('filter-metrics')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement;\n if (!btn) return;\n const m = btn.dataset.metric!;\n if (filters.metrics.has(m)) filters.metrics.delete(m);\n else filters.metrics.add(m);\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('btn-reset-filters')?.addEventListener('click', () => {\n filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n };\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('filter-tags')?.addEventListener('input', (e) => {\n const val = (e.target as HTMLInputElement).value;\n filters.tags = val\n .split(',')\n .map((s) => s.trim().toLowerCase())\n .filter((s) => !!s);\n applyFilters();\n syncFiltersToUrl();\n });\n\n // Keyboard shortcuts\n document.addEventListener('keydown', (e) => {\n if (e.key === 'Escape') {\n MapView.hideCursor();\n MapView.closePopup?.();\n // Dismiss popups and modals\n document\n .querySelectorAll(\n '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop',\n )\n .forEach((el) => el.remove());\n }\n });\n\n // Resize charts when window changes\n window.addEventListener('resize', () => {\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n updateToolbarLayout();\n });\n\n // Handle back/forward navigation\n window.addEventListener('popstate', () => {\n UrlState.refresh();\n applyState(UrlState.get());\n });\n\n initBenchmarkTriggers();\n await preloadBenchmarkFiles();\n\n // Signal to Speedometer test harness that asynchronous initialization has completed\n // and benchmark step triggers are bound.\n const readyEl = document.createElement('div');\n readyEl.id = 'app-is-ready';\n readyEl.setAttribute('data-ready', 'true');\n readyEl.style.display = 'none';\n document.body.appendChild(readyEl);\n\n const camelReadyEl = document.createElement('div');\n camelReadyEl.id = 'appIsReady';\n camelReadyEl.setAttribute('data-ready', 'true');\n camelReadyEl.style.display = 'none';\n document.body.appendChild(camelReadyEl);\n}\n\nlet preloadedBenchmarkPayloads:\n | {\n cleanName: string;\n buf: ArrayBuffer;\n text?: string;\n file: File;\n }[]\n | null = null;\n\nasync function preloadBenchmarkFiles(): Promise<\n { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[]\n> {\n if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads;\n try {\n const manifestResp = await fetch('./test-data/manifest.json');\n const fileNames: string[] = await manifestResp.json();\n const decoder = new TextDecoder();\n preloadedBenchmarkPayloads = await Promise.all(\n fileNames.map(async (name) => {\n const fileResp = await fetch(`./test-data/${name}`);\n let buf = await fileResp.arrayBuffer();\n let cleanName = name;\n if (name.toLowerCase().endsWith('.gz')) {\n cleanName = name.slice(0, -3);\n const bytes = new Uint8Array(buf);\n if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) {\n const ds = new DecompressionStream('gzip');\n const stream = new Blob([buf]).stream().pipeThrough(ds);\n buf = await new Response(stream).arrayBuffer();\n }\n }\n const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf);\n const file = new File([buf], cleanName, { type: 'application/octet-stream' });\n (file as any)._buf = buf;\n if (text !== undefined) (file as any)._text = text;\n return { cleanName, buf, text, file };\n }),\n );\n // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase\n let warmSample: any = null;\n for (const idx of [0, 2, 4]) {\n if (preloadedBenchmarkPayloads[idx]) {\n const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file);\n if (idx === 0) warmSample = parsed;\n }\n }\n if (warmSample) {\n const warmPts = warmSample.points.slice(0, 60);\n const warmTrack: TrackData = {\n ...warmSample,\n id: 'warmup',\n fileName: 'warmup.gpx',\n fileSize: 1024,\n points: warmPts,\n stats: Parsers.computeStats(warmPts),\n addedAt: 1785542400000,\n visible: true,\n color: TRACK_COLORS[0],\n };\n Parsers.ensureCurvesAndZones(warmTrack);\n ChartView.loadTrack(warmTrack, [warmTrack], false);\n ChartView.setActiveMetrics(['elevation', 'speed', 'power']);\n renderInsights(warmTrack);\n renderEvolution(warmTrack, [warmTrack]);\n await resetBenchmarkState();\n void document.body.offsetHeight;\n await new Promise((r) => window.setTimeout(r, 0));\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n return preloadedBenchmarkPayloads;\n } catch {\n return [];\n }\n}\n\nfunction initBenchmarkTriggers() {\n const btnLoad = document.getElementById('btn-step-load');\n const btnAnalysis = document.getElementById('btn-step-analysis');\n const btnInsights = document.getElementById('btn-step-insights');\n const btnDetails = document.getElementById('btn-step-details');\n const btnAggregate = document.getElementById('btn-step-aggregate');\n const btnEvolution = document.getElementById('btn-step-evolution');\n const btnCourses = document.getElementById('btn-step-courses');\n\n function activateTab(tabName: string) {\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName);\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${tabName}`);\n });\n UrlState.patch({ tab: tabName }, false);\n }\n\n btnLoad?.addEventListener('click', async () => {\n try {\n if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) {\n await Storage.openDB();\n await resetBenchmarkState();\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n const payloads = await preloadBenchmarkFiles();\n const loadedFiles: File[] = payloads.map((p) => p.file);\n await handleFiles(loadedFiles);\n const allTracks = Object.values(tracks);\n if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id);\n } finally {\n window.dispatchEvent(new CustomEvent('load-and-parse-complete'));\n }\n });\n\n btnAnalysis?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('graphs');\n if (!selectedId && allTracks.length > 0) {\n selectTrack(allTracks[0].id);\n }\n ChartView.restoreSelection(120, 900, true);\n ChartView.setCursorAt(300, true);\n const availableMetrics = ChartView.getAvailableMetrics();\n const analysisMetrics = ['elevation', 'speed', 'power'].filter((m) =>\n availableMetrics.has(m),\n );\n if (analysisMetrics.length > 0) {\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const metric = (el as HTMLElement).dataset.metric;\n if (metric) el.classList.toggle('active', analysisMetrics.includes(metric));\n });\n updateToolbarLayout();\n ChartView.setActiveMetrics(analysisMetrics);\n } else {\n updateToolbarLayout();\n }\n onChartRangeChange(120, 900, ChartView.getXAxis(), false);\n } finally {\n window.dispatchEvent(new CustomEvent('analysis-complete'));\n }\n });\n\n btnInsights?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t));\n activateTab('insights');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderInsights(primaryTrack);\n } finally {\n window.dispatchEvent(new CustomEvent('insights-complete'));\n }\n });\n\n btnDetails?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('details');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderDetails(primaryTrack, getGlobalTags());\n } finally {\n window.dispatchEvent(new CustomEvent('details-complete'));\n }\n });\n\n btnAggregate?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n if (allTracks.length >= 2) {\n const selectedTwo = [allTracks[0], allTracks[1]];\n activateTab('combined');\n renderCombined(selectedTwo);\n resizeCombined();\n }\n } finally {\n window.dispatchEvent(new CustomEvent('aggregate-complete'));\n }\n });\n\n btnEvolution?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('evolution');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderEvolution(primaryTrack, allTracks, (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n } finally {\n window.dispatchEvent(new CustomEvent('evolution-complete'));\n }\n });\n\n btnCourses?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('courses');\n prepareBenchmarkCourses(allTracks);\n renderCourses();\n selectCourse('course-1', true);\n } finally {\n window.dispatchEvent(new CustomEvent('courses-complete'));\n }\n });\n\n (window as any).benchmarkSteps = {\n loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(),\n displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(),\n displayInsights: () => document.getElementById('btn-step-insights')?.click(),\n displayDetails: () => document.getElementById('btn-step-details')?.click(),\n displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(),\n displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(),\n displayCourses: () => document.getElementById('btn-step-courses')?.click(),\n };\n}\n\nasync function processAndLoadTrack(t: TrackData) {\n // Migration: re-calculate stats if new insights are missing or old format\n const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : [];\n\n const needsEnrich =\n t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined);\n\n const needsRecalc =\n needsEnrich ||\n !t.stats.powerCurve ||\n !t.stats.hrZones ||\n !t.stats.hrCurve ||\n t.stats.shifts === undefined ||\n t.stats.avgBattery === undefined ||\n t.stats.avgTemp === undefined ||\n (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') ||\n ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]);\n\n if (needsRecalc) {\n if (needsEnrich) t.points = Parsers.enrichPoints(t.points);\n t.stats = Parsers.computeStats(t.points);\n await Storage.save(t);\n }\n\n tracks[t.id] = t;\n colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1);\n MapView.addTrack(t);\n MapView.setTrackVisible(t.id, t.visible && !t._filtered);\n renderTrackList(); // Progressive list update\n}\n\nfunction initResizeHandle() {\n const handle = document.getElementById('resize-handle');\n const panel = document.getElementById('chart-panel');\n if (!handle || !panel) return;\n\n let isDragging = false;\n\n handle.addEventListener('mousedown', () => {\n isDragging = true;\n document.body.style.cursor = 'ns-resize';\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const h = window.innerHeight - e.clientY;\n const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h));\n panel.style.height = `${clampedH}px`;\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n document.body.style.cursor = '';\n });\n}\n\nfunction initSidebarResizer() {\n const resizer = document.getElementById('sidebar-resizer');\n const sidebar = document.getElementById('sidebar');\n if (!resizer || !sidebar) return;\n\n let isDragging = false;\n\n resizer.addEventListener('mousedown', () => {\n isDragging = true;\n resizer.classList.add('dragging');\n document.body.classList.add('dragging-sidebar');\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const w = e.clientX;\n const clampedW = Math.max(200, Math.min(600, w));\n sidebar.style.width = `${clampedW}px`;\n sidebar.style.setProperty('--sidebar-w', `${clampedW}px`);\n ChartView.resize();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n resizer.classList.remove('dragging');\n document.body.classList.remove('dragging-sidebar');\n });\n}\n\n// \u2500\u2500 Event Handlers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nfunction onMapMove(lat: number, lng: number, zoom: number) {\n UrlState.patch({ map_pos: [lat, lng, zoom] });\n}\n\nfunction onMapPointClick(id: string, idx: number) {\n selectTrack(id, false);\n ChartView.setCursorAt(idx);\n}\n\nfunction onMapDblClick() {\n // MapView.fitAll();\n}\n\nfunction onChartCursorMove(pt: TrackPoint | null) {\n if (pt && pt.lat != null && pt.lon != null) {\n MapView.showCursorAt(pt.lat, pt.lon);\n if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true);\n } else {\n MapView.hideCursor();\n }\n}\n\nfunction onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) {\n if (!selectedId || !tracks[selectedId]) return;\n const t = tracks[selectedId];\n\n if (min === null || max === null) {\n MapView.clearHighlight();\n if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n UrlState.patch({ sel: null });\n return;\n }\n\n // Find point indices\n const pts = t.points;\n let iMin = 0,\n iMax = pts.length - 1;\n\n if (axis === 'distance') {\n const d0 = min * 1000,\n d1 = max * 1000;\n iMin = pts.findIndex((p) => (p.dist || 0) >= d0);\n iMax = pts.findIndex((p) => (p.dist || 0) >= d1);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const ts0 = t0 + min * 1000,\n ts1 = t0 + max * 1000;\n iMin = pts.findIndex((p) => (p.time || 0) >= ts0);\n iMax = pts.findIndex((p) => (p.time || 0) >= ts1);\n }\n\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = pts.length - 1;\n\n // Compute selection stats\n const selPts = pts.slice(iMin, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n\n MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n UrlState.patch({ sel: [min, max] });\n}\n\nfunction onChartClick(pt: TrackPoint, idx: number) {\n if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL);\n}\n\nexport function selectTrack(id: string, fit = true, deferChartRender = false) {\n if (!tracks[id]) return;\n if (id === selectedId) {\n if (fit) MapView.fitTrack(id);\n return;\n }\n\n const hadSelected = selectedId !== null;\n if (hadSelected) {\n // Clear current views immediately before loading new data\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n }\n\n selectedId = id;\n\n // Fully reset metric coloring when switching tracks\n currentMapColors = null;\n MapView.clearMetricColor(id);\n if (hadSelected) {\n ChartView.toggleMapColor(null); // Ensure ChartView state also resets\n }\n\n // Clear selection on new track\n UrlState.patch({ track: id, sel: null }, true);\n if (hadSelected) {\n ChartView.cancelSelection();\n }\n\n // Update UI immediately\n renderTrackList();\n\n // Render details\n const activeTab = UrlState.get().tab || 'graphs';\n if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags());\n if (activeTab === 'insights') renderInsights(tracks[id]);\n if (activeTab === 'combined') renderCombined(tracks[id]);\n if (activeTab === 'courses') renderCourses();\n if (activeTab === 'evolution') {\n renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n\n // Tell sub-views\n MapView.setSelectedTrack(id, fit);\n if (fit) MapView.fitTrack(id);\n ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender);\n}\n\nasync function deleteTrack(id: string) {\n await Storage.remove(id);\n MapView.removeTrack(id);\n delete tracks[id];\n if (selectedId === id) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n UrlState.patch({ track: null, sel: null, sel_point: null });\n }\n applyFilters();\n}\n\nasync function clearAll() {\n const code = Math.floor(10 + Math.random() * 90).toString();\n\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n backdrop.innerHTML = `\n
\n
Delete all tracks?
\n
\n This will permanently remove all tracks from your browser storage. This action cannot be undone.\n
\n
\n
Enter \"${code}\" to confirm:
\n \n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const input = backdrop.querySelector('.modal-input') as HTMLInputElement;\n const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement;\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n\n input.focus();\n\n input.addEventListener('input', () => {\n btnConfirm.disabled = input.value !== code;\n });\n\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n\n btnConfirm.addEventListener('click', async () => {\n if (input.value !== code) return;\n close();\n\n cancelProcessing = true;\n await Storage.clear();\n\n tracks = {};\n selectedId = null;\n MapView.clearHighlight();\n window.location.reload();\n });\n}\n\nfunction applyFilters(skipRender = false) {\n const ids = Object.keys(tracks);\n ids.forEach((id) => {\n const t = tracks[id];\n const s = t.stats;\n let visible = true;\n\n // Search query\n if (searchQuery) {\n if (searchRegex) {\n try {\n const re = new RegExp(searchQuery, 'i');\n if (!re.test(t.name)) visible = false;\n } catch (e) {\n visible = false;\n }\n } else {\n if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false;\n }\n }\n\n // Date filter\n if (visible && (filters.date[0] || filters.date[1])) {\n const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0;\n const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity;\n const t0 = s.startTime || 0;\n if (t0 < start || t0 > end) visible = false;\n }\n\n // Distance filter\n if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) {\n const min = (filters.dist[0] || 0) * 1000;\n const max = (filters.dist[1] || Infinity) * 1000;\n if (s.totalDist < min || s.totalDist > max) visible = false;\n }\n\n // Duration filter\n if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) {\n const min = (filters.dur[0] || 0) * 60000;\n const max = (filters.dur[1] || Infinity) * 60000;\n const d = s.duration || 0;\n if (d < min || d > max) visible = false;\n }\n\n // Metrics filter\n if (visible && filters.metrics.size > 0) {\n for (const m of filters.metrics) {\n const field = ChartView.METRICS[m].field;\n if (!t.points.some((p: any) => p[field] != null)) {\n visible = false;\n break;\n }\n }\n }\n\n // Sport filter\n if (visible && filters.sport) {\n if (t.sport !== filters.sport) visible = false;\n }\n\n // Tags filter\n if (visible && filters.tags.length > 0) {\n const trackTags = t.tags || [];\n if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false;\n }\n\n t._filtered = !visible;\n MapView.setTrackVisible(t.id, t.visible && visible);\n });\n\n if (!skipRender) renderTrackList();\n}\n\nfunction updateFilterUI() {\n (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || '';\n (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || '';\n (document.getElementById('filter-dist-min') as HTMLInputElement).value =\n filters.dist[0] !== null ? String(filters.dist[0]) : '';\n (document.getElementById('filter-dist-max') as HTMLInputElement).value =\n filters.dist[1] !== null ? String(filters.dist[1]) : '';\n (document.getElementById('filter-dur-min') as HTMLInputElement).value =\n filters.dur[0] !== null ? String(filters.dur[0]) : '';\n (document.getElementById('filter-dur-max') as HTMLInputElement).value =\n filters.dur[1] !== null ? String(filters.dur[1]) : '';\n (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', ');\n\n document\n .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item')\n .forEach((el) => {\n const item = el as HTMLElement;\n item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || ''));\n });\n\n document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => {\n const btn = el as HTMLElement;\n btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!));\n });\n\n const activeCount =\n (filters.date[0] ? 1 : 0) +\n (filters.date[1] ? 1 : 0) +\n (filters.dist[0] !== null ? 1 : 0) +\n (filters.dist[1] !== null ? 1 : 0) +\n (filters.dur[0] !== null ? 1 : 0) +\n (filters.dur[1] !== null ? 1 : 0) +\n filters.metrics.size +\n (filters.tags.length > 0 ? 1 : 0);\n\n const badge = document.querySelector('#btn-toggle-filters .btn-badge');\n if (badge) {\n badge.textContent = activeCount > 0 ? String(activeCount) : '';\n badge.classList.toggle('hidden', activeCount === 0);\n }\n}\n\nfunction updateSearchSortUI() {\n const searchInput = document.getElementById('track-search') as HTMLInputElement;\n if (searchInput) searchInput.value = searchQuery;\n document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex);\n\n const opt = SORT_OPTIONS.find((o) => o.val === currentSort);\n if (opt) {\n const labelEl = document.getElementById('sort-current-label');\n const iconEl = document.getElementById('sort-current-icon');\n if (labelEl)\n labelEl.textContent = opt.label\n .replace(' first', '')\n .replace(' distance', '')\n .replace(' duration', '');\n if (iconEl) iconEl.textContent = opt.icon;\n }\n}\n\nfunction applyState(urlState: AppState) {\n // Restore track\n const newTrackId = urlState.track;\n if (newTrackId !== selectedId) {\n if (newTrackId && tracks[newTrackId]) {\n selectTrack(newTrackId, true);\n } else if (!newTrackId && selectedId) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n renderTrackList();\n MapView.fitAll();\n }\n }\n\n // Restore basemap\n if (urlState.map && typeof urlState.map === 'string') {\n MapView.switchBasemap(urlState.map);\n document\n .querySelectorAll('.bm-btn')\n .forEach((b) =>\n b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map),\n );\n }\n\n // Restore map position\n if (urlState.map_pos) {\n const [lat, lng, zoom] = urlState.map_pos;\n MapView.setPosition(lat, lng, zoom);\n }\n\n // Restore tab\n if (urlState.tab) {\n document.querySelectorAll('.tab-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n if (b.dataset.tab === urlState.tab) {\n if (!b.classList.contains('active')) b.click();\n }\n });\n }\n\n // Restore x-axis mode\n if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis);\n\n const currentXAxis = urlState.xaxis || 'time';\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis));\n\n // Restore active metrics\n if (urlState.metrics) {\n const metrics = ChartView.METRICS;\n const keys = urlState.metrics\n .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr))\n .filter((k): k is string => k !== undefined);\n if (keys.length) ChartView.setActiveMetrics(keys);\n }\n\n // Restore filters\n if (urlState.f_date)\n filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null];\n if (urlState.f_dist)\n filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_dur)\n filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets);\n if (urlState.f_tags) filters.tags = urlState.f_tags;\n\n updateFilterUI();\n\n if (urlState.q) searchQuery = urlState.q;\n if (urlState.re) searchRegex = urlState.re;\n if (urlState.sort) currentSort = urlState.sort;\n updateSearchSortUI();\n\n applyFilters();\n}\n\nfunction updateSportFilterOptions() {\n const container = document.getElementById('sport-filter-container');\n if (!container) return;\n\n const commonContainer = document.getElementById('common-sports');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n if (!commonContainer || !dropdownContent) return;\n\n const sports = new Set();\n Object.values(tracks).forEach((t) => {\n if (t.sport) sports.add(t.sport);\n });\n\n const sportsArray = Array.from(sports).sort();\n const burgerDropdown = document.getElementById('sport-burger-dropdown');\n\n commonContainer.innerHTML = '';\n dropdownContent.innerHTML = '';\n\n if (sportsArray.length <= 4) {\n if (burgerDropdown) burgerDropdown.style.display = 'none';\n\n sportsArray.forEach((sport) => {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n });\n } else {\n if (burgerDropdown) burgerDropdown.style.display = 'inline-block';\n\n const commonSports = ['running', 'cycling', 'walking'];\n\n commonSports.forEach((sport) => {\n if (sports.has(sport)) {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n }\n });\n\n sportsArray.forEach((sport) => {\n const item = document.createElement('div');\n item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`;\n item.dataset.sport = sport;\n item.style.padding = '8px';\n item.style.cursor = 'pointer';\n item.style.display = 'flex';\n item.style.alignItems = 'center';\n item.style.gap = '8px';\n item.innerHTML = `\n ${getSportIcon(sport)}\n ${sport.charAt(0).toUpperCase() + sport.slice(1)}\n `;\n dropdownContent.appendChild(item);\n });\n }\n}\n\nfunction renderTrackList() {\n updateSportFilterOptions();\n const list = document.getElementById('track-list');\n const emptyEl = document.getElementById('track-list-empty') as HTMLElement;\n const headerLabel = document.querySelector('.section-label');\n if (!list) return;\n\n const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered);\n if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`;\n\n if (!ids.length) {\n list.innerHTML = '';\n if (emptyEl) {\n list.appendChild(emptyEl);\n emptyEl.style.display = 'block';\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n list.innerHTML = '';\n\n ids\n .sort((a, b) => {\n // Current selected always first\n if (a === selectedId) return -1;\n if (b === selectedId) return 1;\n\n const ta = tracks[a],\n tb = tracks[b];\n const sa = ta.stats,\n sb = tb.stats;\n\n let cmp = 0;\n switch (currentSort) {\n case 'date-asc':\n cmp = (sa.startTime || 0) - (sb.startTime || 0);\n break;\n case 'date-desc':\n cmp = (sb.startTime || 0) - (sa.startTime || 0);\n break;\n case 'dist-asc':\n cmp = (sa.totalDist || 0) - (sb.totalDist || 0);\n break;\n case 'dist-desc':\n cmp = (sb.totalDist || 0) - (sa.totalDist || 0);\n break;\n case 'dur-asc':\n cmp = (sa.duration || 0) - (sb.duration || 0);\n break;\n case 'dur-desc':\n cmp = (sb.duration || 0) - (sa.duration || 0);\n break;\n default:\n cmp = 0;\n }\n return cmp || a.localeCompare(b);\n })\n .forEach((id) => {\n list.appendChild(buildTrackItem(tracks[id]));\n });\n}\n\nfunction getGlobalTags(): string[] {\n const all = new Set();\n Object.values(tracks).forEach((t) => {\n (t.tags || []).forEach((tag) => all.add(tag));\n });\n return Array.from(all).sort();\n}\n\nfunction getSportIcon(sport: string | null): string {\n if (!sport) return 'category';\n const s = sport.toLowerCase();\n if (s.includes('run')) return 'directions_run';\n if (s.includes('cycl') || s.includes('bike')) return 'directions_bike';\n if (s.includes('walk')) return 'directions_walk';\n if (s.includes('swim')) return 'pool';\n if (s.includes('hik')) return 'hiking';\n return 'sports';\n}\n\nfunction buildTrackItem(track: TrackData) {\n const item = document.createElement('div');\n item.className = `track-item${track.id === selectedId ? ' selected' : ''}`;\n item.dataset.id = track.id;\n\n const date =\n track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date';\n\n const tagsHtml =\n (track.tags || []).length > 0\n ? `
${(track.tags || [])\n .map((t) => {\n const c = getTagColor(t);\n return `${escHtml(t)}`;\n })\n .join('')}
`\n : '';\n\n item.innerHTML = `\n
\n
\n
${escHtml(track.displayName || track.name)}
\n
\n
\n ${date}\n ${Math.round(track.stats.totalDist / 1000)} km\n ${track.sport ? `${getSportIcon(track.sport)}` : ''}\n ${track.format.toUpperCase()}\n
\n \n
\n ${tagsHtml}\n
\n `;\n\n item.addEventListener('click', (e) => {\n if ((e.target as HTMLElement).closest('.icon-btn')) return;\n selectTrack(track.id);\n });\n\n const btnVis = item.querySelector('.toggle-vis') as HTMLElement;\n btnVis.addEventListener('click', () => {\n track.visible = !track.visible;\n btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible\n ? 'visibility'\n : 'visibility_off';\n MapView.setTrackVisible(track.id, track.visible);\n Storage.save(track);\n });\n\n return item;\n}\n\nfunction showToast(msg: string, type: 'info' | 'error' = 'info') {\n const container = document.getElementById('toast-container');\n if (!container) return;\n container.innerHTML = '';\n const t = document.createElement('div');\n t.className = `toast ${type}`;\n t.textContent = msg;\n container.appendChild(t);\n}\n\nfunction showSkippedImportsModal() {\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n let listHtml = '';\n skippedImports.forEach((s) => {\n listHtml += `
${s.name}: ${s.reason}
`;\n });\n\n backdrop.innerHTML = `\n
\n
Skipped Imports
\n
\n ${listHtml || '
No skipped imports.
'}\n
\n
\n \n \n
\n
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e=Ue.paths={points:ds};e.linear=Ss,e.stepped=Vf,e.bars=Rf,e.spline=Ff}export{Ue as default}; +//# sourceMappingURL=uplot.mjs.map diff --git a/suites-experimental/tools-gps-tracks/dist/uplot.mjs.map b/suites-experimental/tools-gps-tracks/dist/uplot.mjs.map new file mode 100644 index 0000000000..7d65813cb4 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/dist/uplot.mjs.map @@ -0,0 +1,7 @@ +{ + "version": 3, + "sources": ["../node_modules/uplot/dist/uPlot.esm.js"], + "sourcesContent": ["/**\n* Copyright (c) 2025, Leon Sorokin\n* All rights reserved. (MIT Licensed)\n*\n* uPlot.js (\u03BCPlot)\n* A small, fast chart for time series, lines, areas, ohlc & bars\n* https://github.com/leeoniya/uPlot (v1.6.32)\n*/\n\nconst FEAT_TIME = true;\n\nconst pre = \"u-\";\n\nconst UPLOT = \"uplot\";\nconst ORI_HZ = pre + \"hz\";\nconst ORI_VT = pre + \"vt\";\nconst TITLE = pre + \"title\";\nconst WRAP = pre + \"wrap\";\nconst UNDER = pre + \"under\";\nconst OVER = pre + \"over\";\nconst AXIS = pre + \"axis\";\nconst OFF = pre + \"off\";\nconst SELECT = pre + \"select\";\nconst CURSOR_X = pre + \"cursor-x\";\nconst CURSOR_Y = pre + \"cursor-y\";\nconst CURSOR_PT = pre + \"cursor-pt\";\nconst LEGEND = pre + \"legend\";\nconst LEGEND_LIVE = pre + \"live\";\nconst LEGEND_INLINE = pre + \"inline\";\nconst LEGEND_SERIES = pre + \"series\";\nconst LEGEND_MARKER = pre + \"marker\";\nconst LEGEND_LABEL = pre + \"label\";\nconst LEGEND_VALUE = pre + \"value\";\n\nconst WIDTH = \"width\";\nconst HEIGHT = \"height\";\nconst TOP = \"top\";\nconst BOTTOM = \"bottom\";\nconst LEFT = \"left\";\nconst RIGHT = \"right\";\nconst hexBlack = \"#000\";\nconst transparent = hexBlack + \"0\";\n\nconst mousemove = \"mousemove\";\nconst mousedown = \"mousedown\";\nconst mouseup = \"mouseup\";\nconst mouseenter = \"mouseenter\";\nconst mouseleave = \"mouseleave\";\nconst dblclick = \"dblclick\";\nconst resize = \"resize\";\nconst scroll = \"scroll\";\n\nconst change = \"change\";\nconst dppxchange = \"dppxchange\";\n\nconst LEGEND_DISP = \"--\";\n\nconst domEnv = typeof window != 'undefined';\n\nconst doc = domEnv ? document : null;\nconst win = domEnv ? window : null;\nconst nav = domEnv ? navigator : null;\n\nlet pxRatio;\n\n//export const canHover = domEnv && !win.matchMedia('(hover: none)').matches;\n\nlet query;\n\nfunction setPxRatio() {\n\tlet _pxRatio = devicePixelRatio;\n\n\t// during print preview, Chrome fires off these dppx queries even without changes\n\tif (pxRatio != _pxRatio) {\n\t\tpxRatio = _pxRatio;\n\n\t\tquery && off(change, query, setPxRatio);\n\t\tquery = matchMedia(`(min-resolution: ${pxRatio - 0.001}dppx) and (max-resolution: ${pxRatio + 0.001}dppx)`);\n\t\ton(change, query, setPxRatio);\n\n\t\twin.dispatchEvent(new CustomEvent(dppxchange));\n\t}\n}\n\nfunction addClass(el, c) {\n\tif (c != null) {\n\t\tlet cl = el.classList;\n\t\t!cl.contains(c) && cl.add(c);\n\t}\n}\n\nfunction remClass(el, c) {\n\tlet cl = el.classList;\n\tcl.contains(c) && cl.remove(c);\n}\n\nfunction setStylePx(el, name, value) {\n\tel.style[name] = value + \"px\";\n}\n\nfunction placeTag(tag, cls, targ, refEl) {\n\tlet el = doc.createElement(tag);\n\n\tif (cls != null)\n\t\taddClass(el, cls);\n\n\tif (targ != null)\n\t\ttarg.insertBefore(el, refEl);\n\n\treturn el;\n}\n\nfunction placeDiv(cls, targ) {\n\treturn placeTag(\"div\", cls, targ);\n}\n\nconst xformCache = new WeakMap();\n\nfunction elTrans(el, xPos, yPos, xMax, yMax) {\n\tlet xform = \"translate(\" + xPos + \"px,\" + yPos + \"px)\";\n\tlet xformOld = xformCache.get(el);\n\n\tif (xform != xformOld) {\n\t\tel.style.transform = xform;\n\t\txformCache.set(el, xform);\n\n\t\tif (xPos < 0 || yPos < 0 || xPos > xMax || yPos > yMax)\n\t\t\taddClass(el, OFF);\n\t\telse\n\t\t\tremClass(el, OFF);\n\t}\n}\n\nconst colorCache = new WeakMap();\n\nfunction elColor(el, background, borderColor) {\n\tlet newColor = background + borderColor;\n\tlet oldColor = colorCache.get(el);\n\n\tif (newColor != oldColor) {\n\t\tcolorCache.set(el, newColor);\n\t\tel.style.background = background;\n\t\tel.style.borderColor = borderColor;\n\t}\n}\n\nconst sizeCache = new WeakMap();\n\nfunction elSize(el, newWid, newHgt, centered) {\n\tlet newSize = newWid + \"\" + newHgt;\n\tlet oldSize = sizeCache.get(el);\n\n\tif (newSize != oldSize) {\n\t\tsizeCache.set(el, newSize);\n\t\tel.style.height = newHgt + \"px\";\n\t\tel.style.width = newWid + \"px\";\n\t\tel.style.marginLeft = centered ? -newWid/2 + \"px\" : 0;\n\t\tel.style.marginTop = centered ? -newHgt/2 + \"px\" : 0;\n\t}\n}\n\nconst evOpts = {passive: true};\nconst evOpts2 = {...evOpts, capture: true};\n\nfunction on(ev, el, cb, capt) {\n\tel.addEventListener(ev, cb, capt ? evOpts2 : evOpts);\n}\n\nfunction off(ev, el, cb, capt) {\n\tel.removeEventListener(ev, cb, evOpts);\n}\n\ndomEnv && setPxRatio();\n\n// binary search for index of closest value\nfunction closestIdx(num, arr, lo, hi) {\n\tlet mid;\n\tlo = lo || 0;\n\thi = hi || arr.length - 1;\n\tlet bitwise = hi <= 2147483647;\n\n\twhile (hi - lo > 1) {\n\t\tmid = bitwise ? (lo + hi) >> 1 : floor((lo + hi) / 2);\n\n\t\tif (arr[mid] < num)\n\t\t\tlo = mid;\n\t\telse\n\t\t\thi = mid;\n\t}\n\n\tif (num - arr[lo] <= arr[hi] - num)\n\t\treturn lo;\n\n\treturn hi;\n}\n\nfunction makeIndexOfs(predicate) {\n\t let indexOfs = (data, _i0, _i1) => {\n\t\tlet i0 = -1;\n\t\tlet i1 = -1;\n\n\t\tfor (let i = _i0; i <= _i1; i++) {\n\t\t\tif (predicate(data[i])) {\n\t\t\t\ti0 = i;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\n\t\tfor (let i = _i1; i >= _i0; i--) {\n\t\t\tif (predicate(data[i])) {\n\t\t\t\ti1 = i;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\n\t\treturn [i0, i1];\n\t };\n\n\t return indexOfs;\n}\n\nconst notNullish = v => v != null;\nconst isPositive = v => v != null && v > 0;\n\nconst nonNullIdxs = makeIndexOfs(notNullish);\nconst positiveIdxs = makeIndexOfs(isPositive);\n\nfunction getMinMax(data, _i0, _i1, sorted = 0, log = false) {\n//\tconsole.log(\"getMinMax()\");\n\n\tlet getEdgeIdxs = log ? positiveIdxs : nonNullIdxs;\n\tlet predicate = log ? isPositive : notNullish;\n\n\t[_i0, _i1] = getEdgeIdxs(data, _i0, _i1);\n\n\tlet _min = data[_i0];\n\tlet _max = data[_i0];\n\n\tif (_i0 > -1) {\n\t\tif (sorted == 1) {\n\t\t\t_min = data[_i0];\n\t\t\t_max = data[_i1];\n\t\t}\n\t\telse if (sorted == -1) {\n\t\t\t_min = data[_i1];\n\t\t\t_max = data[_i0];\n\t\t}\n\t\telse {\n\t\t\tfor (let i = _i0; i <= _i1; i++) {\n\t\t\t\tlet v = data[i];\n\n\t\t\t\tif (predicate(v)) {\n\t\t\t\t\tif (v < _min)\n\t\t\t\t\t\t_min = v;\n\t\t\t\t\telse if (v > _max)\n\t\t\t\t\t\t_max = v;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn [_min ?? inf, _max ?? -inf]; // todo: fix to return nulls\n}\n\nfunction rangeLog(min, max, base, fullMags) {\n\tlet minSign = sign(min);\n\tlet maxSign = sign(max);\n\n\tif (min == max) {\n\t\tif (minSign == -1) {\n\t\t\tmin *= base;\n\t\t\tmax /= base;\n\t\t}\n\t\telse {\n\t\t\tmin /= base;\n\t\t\tmax *= base;\n\t\t}\n\t}\n\n\tlet logFn = base == 10 ? log10 : log2;\n\n\tlet growMinAbs = minSign == 1 ? floor : ceil;\n\tlet growMaxAbs = maxSign == 1 ? ceil : floor;\n\n\tlet minExp = growMinAbs(logFn(abs(min)));\n\tlet maxExp = growMaxAbs(logFn(abs(max)));\n\n\tlet minIncr = pow(base, minExp);\n\tlet maxIncr = pow(base, maxExp);\n\n\t// fix values like Math.pow(10, -5) === 0.000009999999999999999\n\tif (base == 10) {\n\t\tif (minExp < 0)\n\t\t\tminIncr = roundDec(minIncr, -minExp);\n\t\tif (maxExp < 0)\n\t\t\tmaxIncr = roundDec(maxIncr, -maxExp);\n\t}\n\n\tif (fullMags || base == 2) {\n\t\tmin = minIncr * minSign;\n\t\tmax = maxIncr * maxSign;\n\t}\n\telse {\n\t\tmin = incrRoundDn(min, minIncr);\n\t\tmax = incrRoundUp(max, maxIncr);\n\t}\n\n\treturn [min, max];\n}\n\nfunction rangeAsinh(min, max, base, fullMags) {\n\tlet minMax = rangeLog(min, max, base, fullMags);\n\n\tif (min == 0)\n\t\tminMax[0] = 0;\n\n\tif (max == 0)\n\t\tminMax[1] = 0;\n\n\treturn minMax;\n}\n\nconst rangePad = 0.1;\n\nconst autoRangePart = {\n\tmode: 3,\n\tpad: rangePad,\n};\n\nconst _eqRangePart = {\n\tpad: 0,\n\tsoft: null,\n\tmode: 0,\n};\n\nconst _eqRange = {\n\tmin: _eqRangePart,\n\tmax: _eqRangePart,\n};\n\n// this ensures that non-temporal/numeric y-axes get multiple-snapped padding added above/below\n// TODO: also account for incrs when snapping to ensure top of axis gets a tick & value\nfunction rangeNum(_min, _max, mult, extra) {\n\tif (isObj(mult))\n\t\treturn _rangeNum(_min, _max, mult);\n\n\t_eqRangePart.pad = mult;\n\t_eqRangePart.soft = extra ? 0 : null;\n\t_eqRangePart.mode = extra ? 3 : 0;\n\n\treturn _rangeNum(_min, _max, _eqRange);\n}\n\n// nullish coalesce\nfunction ifNull(lh, rh) {\n\treturn lh == null ? rh : lh;\n}\n\n// checks if given index range in an array contains a non-null value\n// aka a range-bounded Array.some()\nfunction hasData(data, idx0, idx1) {\n\tidx0 = ifNull(idx0, 0);\n\tidx1 = ifNull(idx1, data.length - 1);\n\n\twhile (idx0 <= idx1) {\n\t\tif (data[idx0] != null)\n\t\t\treturn true;\n\t\tidx0++;\n\t}\n\n\treturn false;\n}\n\nfunction _rangeNum(_min, _max, cfg) {\n\tlet cmin = cfg.min;\n\tlet cmax = cfg.max;\n\n\tlet padMin = ifNull(cmin.pad, 0);\n\tlet padMax = ifNull(cmax.pad, 0);\n\n\tlet hardMin = ifNull(cmin.hard, -inf);\n\tlet hardMax = ifNull(cmax.hard, inf);\n\n\tlet softMin = ifNull(cmin.soft, inf);\n\tlet softMax = ifNull(cmax.soft, -inf);\n\n\tlet softMinMode = ifNull(cmin.mode, 0);\n\tlet softMaxMode = ifNull(cmax.mode, 0);\n\n\tlet delta = _max - _min;\n\tlet deltaMag = log10(delta);\n\n\tlet scalarMax = max(abs(_min), abs(_max));\n\tlet scalarMag = log10(scalarMax);\n\n\tlet scalarMagDelta = abs(scalarMag - deltaMag);\n\n\t// this handles situations like 89.7, 89.69999999999999\n\t// by assuming 0.001x deltas are precision errors\n//\tif (delta > 0 && delta < abs(_max) / 1e3)\n//\t\tdelta = 0;\n\n\t// treat data as flat if delta is less than 1e-24\n\t// or range is 11+ orders of magnitude below raw values, e.g. 99999999.99999996 - 100000000.00000004\n\tif (delta < 1e-24 || scalarMagDelta > 10) {\n\t\tdelta = 0;\n\n\t\t// if soft mode is 2 and all vals are flat at 0, avoid the 0.1 * 1e3 fallback\n\t\t// this prevents 0,0,0 from ranging to -100,100 when softMin/softMax are -1,1\n\t\tif (_min == 0 || _max == 0) {\n\t\t\tdelta = 1e-24;\n\n\t\t\tif (softMinMode == 2 && softMin != inf)\n\t\t\t\tpadMin = 0;\n\n\t\t\tif (softMaxMode == 2 && softMax != -inf)\n\t\t\t\tpadMax = 0;\n\t\t}\n\t}\n\n\tlet nonZeroDelta = delta || scalarMax || 1e3;\n\tlet mag = log10(nonZeroDelta);\n\tlet base = pow(10, floor(mag));\n\n\tlet _padMin = nonZeroDelta * (delta == 0 ? (_min == 0 ? .1 : 1) : padMin);\n\tlet _newMin = roundDec(incrRoundDn(_min - _padMin, base/10), 24);\n\tlet _softMin = _min >= softMin && (softMinMode == 1 || softMinMode == 3 && _newMin <= softMin || softMinMode == 2 && _newMin >= softMin) ? softMin : inf;\n\tlet minLim = max(hardMin, _newMin < _softMin && _min >= _softMin ? _softMin : min(_softMin, _newMin));\n\n\tlet _padMax = nonZeroDelta * (delta == 0 ? (_max == 0 ? .1 : 1) : padMax);\n\tlet _newMax = roundDec(incrRoundUp(_max + _padMax, base/10), 24);\n\tlet _softMax = _max <= softMax && (softMaxMode == 1 || softMaxMode == 3 && _newMax >= softMax || softMaxMode == 2 && _newMax <= softMax) ? softMax : -inf;\n\tlet maxLim = min(hardMax, _newMax > _softMax && _max <= _softMax ? _softMax : max(_softMax, _newMax));\n\n\tif (minLim == maxLim && minLim == 0)\n\t\tmaxLim = 100;\n\n\treturn [minLim, maxLim];\n}\n\n// alternative: https://stackoverflow.com/a/2254896\nconst numFormatter = new Intl.NumberFormat(domEnv ? nav.language : 'en-US');\nconst fmtNum = val => numFormatter.format(val);\n\nconst M = Math;\n\nconst PI = M.PI;\nconst abs = M.abs;\nconst floor = M.floor;\nconst round = M.round;\nconst ceil = M.ceil;\nconst min = M.min;\nconst max = M.max;\nconst pow = M.pow;\nconst sign = M.sign;\nconst log10 = M.log10;\nconst log2 = M.log2;\n// TODO: seems like this needs to match asinh impl if the passed v is tweaked?\nconst sinh = (v, linthresh = 1) => M.sinh(v) * linthresh;\nconst asinh = (v, linthresh = 1) => M.asinh(v / linthresh);\n\nconst inf = Infinity;\n\nfunction numIntDigits(x) {\n\treturn (log10((x ^ (x >> 31)) - (x >> 31)) | 0) + 1;\n}\n\nfunction clamp(num, _min, _max) {\n\treturn min(max(num, _min), _max);\n}\n\nfunction isFn(v) {\n\treturn typeof v == \"function\";\n}\n\nfunction fnOrSelf(v) {\n\treturn isFn(v) ? v : () => v;\n}\n\nconst noop = () => {};\n\n// note: these identity fns may get deoptimized if reused for different arg types\n// a TS version would enforce they stay monotyped and require making variants\nconst retArg0 = _0 => _0;\n\nconst retArg1 = (_0, _1) => _1;\n\nconst retNull = _ => null;\n\nconst retTrue = _ => true;\n\nconst retEq = (a, b) => a == b;\n\nconst regex6 = /\\.\\d*?(?=9{6,}|0{6,})/gm;\n\n// e.g. 17999.204999999998 -> 17999.205\nconst fixFloat = val => {\n\tif (isInt(val) || fixedDec.has(val))\n\t\treturn val;\n\n\tconst str = `${val}`;\n\n\tconst match = str.match(regex6);\n\n\tif (match == null)\n\t\treturn val;\n\n\tlet len = match[0].length - 1;\n\n\t// e.g. 1.0000000000000001e-24\n\tif (str.indexOf('e-') != -1) {\n\t\tlet [num, exp] = str.split('e');\n\t\treturn +`${fixFloat(num)}e${exp}`;\n\t}\n\n\treturn roundDec(val, len);\n};\n\nfunction incrRound(num, incr) {\n\treturn fixFloat(roundDec(fixFloat(num/incr))*incr);\n}\n\nfunction incrRoundUp(num, incr) {\n\treturn fixFloat(ceil(fixFloat(num/incr))*incr);\n}\n\nfunction incrRoundDn(num, incr) {\n\treturn fixFloat(floor(fixFloat(num/incr))*incr);\n}\n\n// https://stackoverflow.com/a/48764436\n// rounds half away from zero\nfunction roundDec(val, dec = 0) {\n\tif (isInt(val))\n\t\treturn val;\n//\telse if (dec == 0)\n//\t\treturn round(val);\n\n\tlet p = 10 ** dec;\n\tlet n = (val * p) * (1 + Number.EPSILON);\n\treturn round(n) / p;\n}\n\nconst fixedDec = new Map();\n\nfunction guessDec(num) {\n\treturn ((\"\"+num).split(\".\")[1] || \"\").length;\n}\n\nfunction genIncrs(base, minExp, maxExp, mults) {\n\tlet incrs = [];\n\n\tlet multDec = mults.map(guessDec);\n\n\tfor (let exp = minExp; exp < maxExp; exp++) {\n\t\tlet expa = abs(exp);\n\t\tlet mag = roundDec(pow(base, exp), expa);\n\n\t\tfor (let i = 0; i < mults.length; i++) {\n\t\t\tlet _incr = base == 10 ? +`${mults[i]}e${exp}` : mults[i] * mag;\n\t\t\tlet dec = (exp >= 0 ? 0 : expa) + (exp >= multDec[i] ? 0 : multDec[i]);\n\t\t\tlet incr = base == 10 ? _incr : roundDec(_incr, dec);\n\t\t\tincrs.push(incr);\n\t\t\tfixedDec.set(incr, dec);\n\t\t}\n\t}\n\n\treturn incrs;\n}\n\n//export const assign = Object.assign;\n\nconst EMPTY_OBJ = {};\nconst EMPTY_ARR = [];\n\nconst nullNullTuple = [null, null];\n\nconst isArr = Array.isArray;\nconst isInt = Number.isInteger;\nconst isUndef = v => v === void 0;\n\nfunction isStr(v) {\n\treturn typeof v == 'string';\n}\n\nfunction isObj(v) {\n\tlet is = false;\n\n\tif (v != null) {\n\t\tlet c = v.constructor;\n\t\tis = c == null || c == Object;\n\t}\n\n\treturn is;\n}\n\nfunction fastIsObj(v) {\n\treturn v != null && typeof v == 'object';\n}\n\nconst TypedArray = Object.getPrototypeOf(Uint8Array);\n\nconst __proto__ = \"__proto__\";\n\nfunction copy(o, _isObj = isObj) {\n\tlet out;\n\n\tif (isArr(o)) {\n\t\tlet val = o.find(v => v != null);\n\n\t\tif (isArr(val) || _isObj(val)) {\n\t\t\tout = Array(o.length);\n\t\t\tfor (let i = 0; i < o.length; i++)\n\t\t\t\tout[i] = copy(o[i], _isObj);\n\t\t}\n\t\telse\n\t\t\tout = o.slice();\n\t}\n\telse if (o instanceof TypedArray) // also (ArrayBuffer.isView(o) && !(o instanceof DataView))\n\t\tout = o.slice();\n\telse if (_isObj(o)) {\n\t\tout = {};\n\t\tfor (let k in o) {\n\t\t\tif (k != __proto__)\n\t\t\t\tout[k] = copy(o[k], _isObj);\n\t\t}\n\t}\n\telse\n\t\tout = o;\n\n\treturn out;\n}\n\nfunction assign(targ) {\n\tlet args = arguments;\n\n\tfor (let i = 1; i < args.length; i++) {\n\t\tlet src = args[i];\n\n\t\tfor (let key in src) {\n\t\t\tif (key != __proto__) {\n\t\t\t\tif (isObj(targ[key]))\n\t\t\t\t\tassign(targ[key], copy(src[key]));\n\t\t\t\telse\n\t\t\t\t\ttarg[key] = copy(src[key]);\n\t\t\t}\n\t\t}\n\t}\n\n\treturn targ;\n}\n\n// nullModes\nconst NULL_REMOVE = 0; // nulls are converted to undefined (e.g. for spanGaps: true)\nconst NULL_RETAIN = 1; // nulls are retained, with alignment artifacts set to undefined (default)\nconst NULL_EXPAND = 2; // nulls are expanded to include any adjacent alignment artifacts\n\n// sets undefined values to nulls when adjacent to existing nulls (minesweeper)\nfunction nullExpand(yVals, nullIdxs, alignedLen) {\n\tfor (let i = 0, xi, lastNullIdx = -1; i < nullIdxs.length; i++) {\n\t\tlet nullIdx = nullIdxs[i];\n\n\t\tif (nullIdx > lastNullIdx) {\n\t\t\txi = nullIdx - 1;\n\t\t\twhile (xi >= 0 && yVals[xi] == null)\n\t\t\t\tyVals[xi--] = null;\n\n\t\t\txi = nullIdx + 1;\n\t\t\twhile (xi < alignedLen && yVals[xi] == null)\n\t\t\t\tyVals[lastNullIdx = xi++] = null;\n\t\t}\n\t}\n}\n\n// nullModes is a tables-matched array indicating how to treat nulls in each series\n// output is sorted ASC on the joined field (table[0]) and duplicate join values are collapsed\nfunction join(tables, nullModes) {\n\tif (allHeadersSame(tables)) {\n\t//\tconsole.log('cheap join!');\n\n\t\tlet table = tables[0].slice();\n\n\t\tfor (let i = 1; i < tables.length; i++)\n\t\t\ttable.push(...tables[i].slice(1));\n\n\t\tif (!isAsc(table[0]))\n\t\t\ttable = sortCols(table);\n\n\t\treturn table;\n\t}\n\n\tlet xVals = new Set();\n\n\tfor (let ti = 0; ti < tables.length; ti++) {\n\t\tlet t = tables[ti];\n\t\tlet xs = t[0];\n\t\tlet len = xs.length;\n\n\t\tfor (let i = 0; i < len; i++)\n\t\t\txVals.add(xs[i]);\n\t}\n\n\tlet data = [Array.from(xVals).sort((a, b) => a - b)];\n\n\tlet alignedLen = data[0].length;\n\n\tlet xIdxs = new Map();\n\n\tfor (let i = 0; i < alignedLen; i++)\n\t\txIdxs.set(data[0][i], i);\n\n\tfor (let ti = 0; ti < tables.length; ti++) {\n\t\tlet t = tables[ti];\n\t\tlet xs = t[0];\n\n\t\tfor (let si = 1; si < t.length; si++) {\n\t\t\tlet ys = t[si];\n\n\t\t\tlet yVals = Array(alignedLen).fill(undefined);\n\n\t\t\tlet nullMode = nullModes ? nullModes[ti][si] : NULL_RETAIN;\n\n\t\t\tlet nullIdxs = [];\n\n\t\t\tfor (let i = 0; i < ys.length; i++) {\n\t\t\t\tlet yVal = ys[i];\n\t\t\t\tlet alignedIdx = xIdxs.get(xs[i]);\n\n\t\t\t\tif (yVal === null) {\n\t\t\t\t\tif (nullMode != NULL_REMOVE) {\n\t\t\t\t\t\tyVals[alignedIdx] = yVal;\n\n\t\t\t\t\t\tif (nullMode == NULL_EXPAND)\n\t\t\t\t\t\t\tnullIdxs.push(alignedIdx);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t\tyVals[alignedIdx] = yVal;\n\t\t\t}\n\n\t\t\tnullExpand(yVals, nullIdxs, alignedLen);\n\n\t\t\tdata.push(yVals);\n\t\t}\n\t}\n\n\treturn data;\n}\n\nconst microTask = typeof queueMicrotask == \"undefined\" ? fn => Promise.resolve().then(fn) : queueMicrotask;\n\n// TODO: https://github.com/dy/sort-ids (~2x faster for 1e5+ arrays)\nfunction sortCols(table) {\n\tlet head = table[0];\n\tlet rlen = head.length;\n\n\tlet idxs = Array(rlen);\n\tfor (let i = 0; i < idxs.length; i++)\n\t\tidxs[i] = i;\n\n\tidxs.sort((i0, i1) => head[i0] - head[i1]);\n\n\tlet table2 = [];\n\tfor (let i = 0; i < table.length; i++) {\n\t\tlet row = table[i];\n\t\tlet row2 = Array(rlen);\n\n\t\tfor (let j = 0; j < rlen; j++)\n\t\t\trow2[j] = row[idxs[j]];\n\n\t\ttable2.push(row2);\n\t}\n\n\treturn table2;\n}\n\n// test if we can do cheap join (all join fields same)\nfunction allHeadersSame(tables) {\n\tlet vals0 = tables[0][0];\n\tlet len0 = vals0.length;\n\n\tfor (let i = 1; i < tables.length; i++) {\n\t\tlet vals1 = tables[i][0];\n\n\t\tif (vals1.length != len0)\n\t\t\treturn false;\n\n\t\tif (vals1 != vals0) {\n\t\t\tfor (let j = 0; j < len0; j++) {\n\t\t\t\tif (vals1[j] != vals0[j])\n\t\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t}\n\n\treturn true;\n}\n\nfunction isAsc(vals, samples = 100) {\n\tconst len = vals.length;\n\n\t// empty or single value\n\tif (len <= 1)\n\t\treturn true;\n\n\t// skip leading & trailing nullish\n\tlet firstIdx = 0;\n\tlet lastIdx = len - 1;\n\n\twhile (firstIdx <= lastIdx && vals[firstIdx] == null)\n\t\tfirstIdx++;\n\n\twhile (lastIdx >= firstIdx && vals[lastIdx] == null)\n\t\tlastIdx--;\n\n\t// all nullish or one value surrounded by nullish\n\tif (lastIdx <= firstIdx)\n\t\treturn true;\n\n\tconst stride = max(1, floor((lastIdx - firstIdx + 1) / samples));\n\n\tfor (let prevVal = vals[firstIdx], i = firstIdx + stride; i <= lastIdx; i += stride) {\n\t\tconst v = vals[i];\n\n\t\tif (v != null) {\n\t\t\tif (v <= prevVal)\n\t\t\t\treturn false;\n\n\t\t\tprevVal = v;\n\t\t}\n\t}\n\n\treturn true;\n}\n\nconst months = [\n\t\"January\",\n\t\"February\",\n\t\"March\",\n\t\"April\",\n\t\"May\",\n\t\"June\",\n\t\"July\",\n\t\"August\",\n\t\"September\",\n\t\"October\",\n\t\"November\",\n\t\"December\",\n];\n\nconst days = [\n\t\"Sunday\",\n\t\"Monday\",\n\t\"Tuesday\",\n\t\"Wednesday\",\n\t\"Thursday\",\n\t\"Friday\",\n\t\"Saturday\",\n];\n\nfunction slice3(str) {\n\treturn str.slice(0, 3);\n}\n\nconst days3 = days.map(slice3);\n\nconst months3 = months.map(slice3);\n\nconst engNames = {\n\tMMMM: months,\n\tMMM: months3,\n\tWWWW: days,\n\tWWW: days3,\n};\n\nfunction zeroPad2(int) {\n\treturn (int < 10 ? '0' : '') + int;\n}\n\nfunction zeroPad3(int) {\n\treturn (int < 10 ? '00' : int < 100 ? '0' : '') + int;\n}\n\n/*\nfunction suffix(int) {\n\tlet mod10 = int % 10;\n\n\treturn int + (\n\t\tmod10 == 1 && int != 11 ? \"st\" :\n\t\tmod10 == 2 && int != 12 ? \"nd\" :\n\t\tmod10 == 3 && int != 13 ? \"rd\" : \"th\"\n\t);\n}\n*/\n\nconst subs = {\n\t// 2019\n\tYYYY:\td => d.getFullYear(),\n\t// 19\n\tYY:\t\td => (d.getFullYear()+'').slice(2),\n\t// July\n\tMMMM:\t(d, names) => names.MMMM[d.getMonth()],\n\t// Jul\n\tMMM:\t(d, names) => names.MMM[d.getMonth()],\n\t// 07\n\tMM:\t\td => zeroPad2(d.getMonth()+1),\n\t// 7\n\tM:\t\td => d.getMonth()+1,\n\t// 09\n\tDD:\t\td => zeroPad2(d.getDate()),\n\t// 9\n\tD:\t\td => d.getDate(),\n\t// Monday\n\tWWWW:\t(d, names) => names.WWWW[d.getDay()],\n\t// Mon\n\tWWW:\t(d, names) => names.WWW[d.getDay()],\n\t// 03\n\tHH:\t\td => zeroPad2(d.getHours()),\n\t// 3\n\tH:\t\td => d.getHours(),\n\t// 9 (12hr, unpadded)\n\th:\t\td => {let h = d.getHours(); return h == 0 ? 12 : h > 12 ? h - 12 : h;},\n\t// AM\n\tAA:\t\td => d.getHours() >= 12 ? 'PM' : 'AM',\n\t// am\n\taa:\t\td => d.getHours() >= 12 ? 'pm' : 'am',\n\t// a\n\ta:\t\td => d.getHours() >= 12 ? 'p' : 'a',\n\t// 09\n\tmm:\t\td => zeroPad2(d.getMinutes()),\n\t// 9\n\tm:\t\td => d.getMinutes(),\n\t// 09\n\tss:\t\td => zeroPad2(d.getSeconds()),\n\t// 9\n\ts:\t\td => d.getSeconds(),\n\t// 374\n\tfff:\td => zeroPad3(d.getMilliseconds()),\n};\n\nfunction fmtDate(tpl, names) {\n\tnames = names || engNames;\n\tlet parts = [];\n\n\tlet R = /\\{([a-z]+)\\}|[^{]+/gi, m;\n\n\twhile (m = R.exec(tpl))\n\t\tparts.push(m[0][0] == '{' ? subs[m[1]] : m[0]);\n\n\treturn d => {\n\t\tlet out = '';\n\n\t\tfor (let i = 0; i < parts.length; i++)\n\t\t\tout += typeof parts[i] == \"string\" ? parts[i] : parts[i](d, names);\n\n\t\treturn out;\n\t}\n}\n\nconst localTz = new Intl.DateTimeFormat().resolvedOptions().timeZone;\n\n// https://stackoverflow.com/questions/15141762/how-to-initialize-a-javascript-date-to-a-particular-time-zone/53652131#53652131\nfunction tzDate(date, tz) {\n\tlet date2;\n\n\t// perf optimization\n\tif (tz == 'UTC' || tz == 'Etc/UTC')\n\t\tdate2 = new Date(+date + date.getTimezoneOffset() * 6e4);\n\telse if (tz == localTz)\n\t\tdate2 = date;\n\telse {\n\t\tdate2 = new Date(date.toLocaleString('en-US', {timeZone: tz}));\n\t\tdate2.setMilliseconds(date.getMilliseconds());\n\t}\n\n\treturn date2;\n}\n\n//export const series = [];\n\n// default formatters:\n\nconst onlyWhole = v => v % 1 == 0;\n\nconst allMults = [1,2,2.5,5];\n\n// ...0.01, 0.02, 0.025, 0.05, 0.1, 0.2, 0.25, 0.5\nconst decIncrs = genIncrs(10, -32, 0, allMults);\n\n// 1, 2, 2.5, 5, 10, 20, 25, 50...\nconst oneIncrs = genIncrs(10, 0, 32, allMults);\n\n// 1, 2, 5, 10, 20, 25, 50...\nconst wholeIncrs = oneIncrs.filter(onlyWhole);\n\nconst numIncrs = decIncrs.concat(oneIncrs);\n\nconst NL = \"\\n\";\n\nconst yyyy = \"{YYYY}\";\nconst NLyyyy = NL + yyyy;\nconst md = \"{M}/{D}\";\nconst NLmd = NL + md;\nconst NLmdyy = NLmd + \"/{YY}\";\n\nconst aa = \"{aa}\";\nconst hmm = \"{h}:{mm}\";\nconst hmmaa = hmm + aa;\nconst NLhmmaa = NL + hmmaa;\nconst ss = \":{ss}\";\n\nconst _ = null;\n\nfunction genTimeStuffs(ms) {\n\tlet\ts = ms * 1e3,\n\t\tm = s * 60,\n\t\th = m * 60,\n\t\td = h * 24,\n\t\tmo = d * 30,\n\t\ty = d * 365;\n\n\t// min of 1e-3 prevents setting a temporal x ticks too small since Date objects cannot advance ticks smaller than 1ms\n\tlet subSecIncrs = ms == 1 ? genIncrs(10, 0, 3, allMults).filter(onlyWhole) : genIncrs(10, -3, 0, allMults);\n\n\tlet timeIncrs = subSecIncrs.concat([\n\t\t// minute divisors (# of secs)\n\t\ts,\n\t\ts * 5,\n\t\ts * 10,\n\t\ts * 15,\n\t\ts * 30,\n\t\t// hour divisors (# of mins)\n\t\tm,\n\t\tm * 5,\n\t\tm * 10,\n\t\tm * 15,\n\t\tm * 30,\n\t\t// day divisors (# of hrs)\n\t\th,\n\t\th * 2,\n\t\th * 3,\n\t\th * 4,\n\t\th * 6,\n\t\th * 8,\n\t\th * 12,\n\t\t// month divisors TODO: need more?\n\t\td,\n\t\td * 2,\n\t\td * 3,\n\t\td * 4,\n\t\td * 5,\n\t\td * 6,\n\t\td * 7,\n\t\td * 8,\n\t\td * 9,\n\t\td * 10,\n\t\td * 15,\n\t\t// year divisors (# months, approx)\n\t\tmo,\n\t\tmo * 2,\n\t\tmo * 3,\n\t\tmo * 4,\n\t\tmo * 6,\n\t\t// century divisors\n\t\ty,\n\t\ty * 2,\n\t\ty * 5,\n\t\ty * 10,\n\t\ty * 25,\n\t\ty * 50,\n\t\ty * 100,\n\t]);\n\n\t// [0]: minimum num secs in the tick incr\n\t// [1]: default tick format\n\t// [2-7]: rollover tick formats\n\t// [8]: mode: 0: replace [1] -> [2-7], 1: concat [1] + [2-7]\n\tconst _timeAxisStamps = [\n\t// tick incr default year month day hour min sec mode\n\t\t[y, yyyy, _, _, _, _, _, _, 1],\n\t\t[d * 28, \"{MMM}\", NLyyyy, _, _, _, _, _, 1],\n\t\t[d, md, NLyyyy, _, _, _, _, _, 1],\n\t\t[h, \"{h}\" + aa, NLmdyy, _, NLmd, _, _, _, 1],\n\t\t[m, hmmaa, NLmdyy, _, NLmd, _, _, _, 1],\n\t\t[s, ss, NLmdyy + \" \" + hmmaa, _, NLmd + \" \" + hmmaa, _, NLhmmaa, _, 1],\n\t\t[ms, ss + \".{fff}\", NLmdyy + \" \" + hmmaa, _, NLmd + \" \" + hmmaa, _, NLhmmaa, _, 1],\n\t];\n\n\t// the ensures that axis ticks, values & grid are aligned to logical temporal breakpoints and not an arbitrary timestamp\n\t// https://www.timeanddate.com/time/dst/\n\t// https://www.timeanddate.com/time/dst/2019.html\n\t// https://www.epochconverter.com/timezones\n\tfunction timeAxisSplits(tzDate) {\n\t\treturn (self, axisIdx, scaleMin, scaleMax, foundIncr, foundSpace) => {\n\t\t\tlet splits = [];\n\t\t\tlet isYr = foundIncr >= y;\n\t\t\tlet isMo = foundIncr >= mo && foundIncr < y;\n\n\t\t\t// get the timezone-adjusted date\n\t\t\tlet minDate = tzDate(scaleMin);\n\t\t\tlet minDateTs = roundDec(minDate * ms, 3);\n\n\t\t\t// get ts of 12am (this lands us at or before the original scaleMin)\n\t\t\tlet minMin = mkDate(minDate.getFullYear(), isYr ? 0 : minDate.getMonth(), isMo || isYr ? 1 : minDate.getDate());\n\t\t\tlet minMinTs = roundDec(minMin * ms, 3);\n\n\t\t\tif (isMo || isYr) {\n\t\t\t\tlet moIncr = isMo ? foundIncr / mo : 0;\n\t\t\t\tlet yrIncr = isYr ? foundIncr / y : 0;\n\t\t\t//\tlet tzOffset = scaleMin - minDateTs;\t\t// needed?\n\t\t\t\tlet split = minDateTs == minMinTs ? minDateTs : roundDec(mkDate(minMin.getFullYear() + yrIncr, minMin.getMonth() + moIncr, 1) * ms, 3);\n\t\t\t\tlet splitDate = new Date(round(split / ms));\n\t\t\t\tlet baseYear = splitDate.getFullYear();\n\t\t\t\tlet baseMonth = splitDate.getMonth();\n\n\t\t\t\tfor (let i = 0; split <= scaleMax; i++) {\n\t\t\t\t\tlet next = mkDate(baseYear + yrIncr * i, baseMonth + moIncr * i, 1);\n\t\t\t\t\tlet offs = next - tzDate(roundDec(next * ms, 3));\n\n\t\t\t\t\tsplit = roundDec((+next + offs) * ms, 3);\n\n\t\t\t\t\tif (split <= scaleMax)\n\t\t\t\t\t\tsplits.push(split);\n\t\t\t\t}\n\t\t\t}\n\t\t\telse {\n\t\t\t\tlet incr0 = foundIncr >= d ? d : foundIncr;\n\t\t\t\tlet tzOffset = floor(scaleMin) - floor(minDateTs);\n\t\t\t\tlet split = minMinTs + tzOffset + incrRoundUp(minDateTs - minMinTs, incr0);\n\t\t\t\tsplits.push(split);\n\n\t\t\t\tlet date0 = tzDate(split);\n\n\t\t\t\tlet prevHour = date0.getHours() + (date0.getMinutes() / m) + (date0.getSeconds() / h);\n\t\t\t\tlet incrHours = foundIncr / h;\n\n\t\t\t\tlet minSpace = self.axes[axisIdx]._space;\n\t\t\t\tlet pctSpace = foundSpace / minSpace;\n\n\t\t\t\twhile (1) {\n\t\t\t\t\tsplit = roundDec(split + foundIncr, ms == 1 ? 0 : 3);\n\n\t\t\t\t\tif (split > scaleMax)\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tif (incrHours > 1) {\n\t\t\t\t\t\tlet expectedHour = floor(roundDec(prevHour + incrHours, 6)) % 24;\n\t\t\t\t\t\tlet splitDate = tzDate(split);\n\t\t\t\t\t\tlet actualHour = splitDate.getHours();\n\n\t\t\t\t\t\tlet dstShift = actualHour - expectedHour;\n\n\t\t\t\t\t\tif (dstShift > 1)\n\t\t\t\t\t\t\tdstShift = -1;\n\n\t\t\t\t\t\tsplit -= dstShift * h;\n\n\t\t\t\t\t\tprevHour = (prevHour + incrHours) % 24;\n\n\t\t\t\t\t\t// add a tick only if it's further than 70% of the min allowed label spacing\n\t\t\t\t\t\tlet prevSplit = splits[splits.length - 1];\n\t\t\t\t\t\tlet pctIncr = roundDec((split - prevSplit) / foundIncr, 3);\n\n\t\t\t\t\t\tif (pctIncr * pctSpace >= .7)\n\t\t\t\t\t\t\tsplits.push(split);\n\t\t\t\t\t}\n\t\t\t\t\telse\n\t\t\t\t\t\tsplits.push(split);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\treturn splits;\n\t\t}\n\t}\n\n\treturn [\n\t\ttimeIncrs,\n\t\t_timeAxisStamps,\n\t\ttimeAxisSplits,\n\t];\n}\n\nconst [ timeIncrsMs, _timeAxisStampsMs, timeAxisSplitsMs ] = genTimeStuffs(1);\nconst [ timeIncrsS, _timeAxisStampsS, timeAxisSplitsS ] = genTimeStuffs(1e-3);\n\n// base 2\ngenIncrs(2, -53, 53, [1]);\n\n/*\nconsole.log({\n\tdecIncrs,\n\toneIncrs,\n\twholeIncrs,\n\tnumIncrs,\n\ttimeIncrs,\n\tfixedDec,\n});\n*/\n\nfunction timeAxisStamps(stampCfg, fmtDate) {\n\treturn stampCfg.map(s => s.map((v, i) =>\n\t\ti == 0 || i == 8 || v == null ? v : fmtDate(i == 1 || s[8] == 0 ? v : s[1] + v)\n\t));\n}\n\n// TODO: will need to accept spaces[] and pull incr into the loop when grid will be non-uniform, eg for log scales.\n// currently we ignore this for months since they're *nearly* uniform and the added complexity is not worth it\nfunction timeAxisVals(tzDate, stamps) {\n\treturn (self, splits, axisIdx, foundSpace, foundIncr) => {\n\t\tlet s = stamps.find(s => foundIncr >= s[0]) || stamps[stamps.length - 1];\n\n\t\t// these track boundaries when a full label is needed again\n\t\tlet prevYear;\n\t\tlet prevMnth;\n\t\tlet prevDate;\n\t\tlet prevHour;\n\t\tlet prevMins;\n\t\tlet prevSecs;\n\n\t\treturn splits.map(split => {\n\t\t\tlet date = tzDate(split);\n\n\t\t\tlet newYear = date.getFullYear();\n\t\t\tlet newMnth = date.getMonth();\n\t\t\tlet newDate = date.getDate();\n\t\t\tlet newHour = date.getHours();\n\t\t\tlet newMins = date.getMinutes();\n\t\t\tlet newSecs = date.getSeconds();\n\n\t\t\tlet stamp = (\n\t\t\t\tnewYear != prevYear && s[2] ||\n\t\t\t\tnewMnth != prevMnth && s[3] ||\n\t\t\t\tnewDate != prevDate && s[4] ||\n\t\t\t\tnewHour != prevHour && s[5] ||\n\t\t\t\tnewMins != prevMins && s[6] ||\n\t\t\t\tnewSecs != prevSecs && s[7] ||\n\t\t\t\t s[1]\n\t\t\t);\n\n\t\t\tprevYear = newYear;\n\t\t\tprevMnth = newMnth;\n\t\t\tprevDate = newDate;\n\t\t\tprevHour = newHour;\n\t\t\tprevMins = newMins;\n\t\t\tprevSecs = newSecs;\n\n\t\t\treturn stamp(date);\n\t\t});\n\t}\n}\n\n// for when axis.values is defined as a static fmtDate template string\nfunction timeAxisVal(tzDate, dateTpl) {\n\tlet stamp = fmtDate(dateTpl);\n\treturn (self, splits, axisIdx, foundSpace, foundIncr) => splits.map(split => stamp(tzDate(split)));\n}\n\nfunction mkDate(y, m, d) {\n\treturn new Date(y, m, d);\n}\n\nfunction timeSeriesStamp(stampCfg, fmtDate) {\n\treturn fmtDate(stampCfg);\n}\nconst _timeSeriesStamp = '{YYYY}-{MM}-{DD} {h}:{mm}{aa}';\n\nfunction timeSeriesVal(tzDate, stamp) {\n\treturn (self, val, seriesIdx, dataIdx) => dataIdx == null ? LEGEND_DISP : stamp(tzDate(val));\n}\n\nfunction legendStroke(self, seriesIdx) {\n\tlet s = self.series[seriesIdx];\n\treturn s.width ? s.stroke(self, seriesIdx) : s.points.width ? s.points.stroke(self, seriesIdx) : null;\n}\n\nfunction legendFill(self, seriesIdx) {\n\treturn self.series[seriesIdx].fill(self, seriesIdx);\n}\n\nconst legendOpts = {\n\tshow: true,\n\tlive: true,\n\tisolate: false,\n\tmount: noop,\n\tmarkers: {\n\t\tshow: true,\n\t\twidth: 2,\n\t\tstroke: legendStroke,\n\t\tfill: legendFill,\n\t\tdash: \"solid\",\n\t},\n\tidx: null,\n\tidxs: null,\n\tvalues: [],\n};\n\nfunction cursorPointShow(self, si) {\n\tlet o = self.cursor.points;\n\n\tlet pt = placeDiv();\n\n\tlet size = o.size(self, si);\n\tsetStylePx(pt, WIDTH, size);\n\tsetStylePx(pt, HEIGHT, size);\n\n\tlet mar = size / -2;\n\tsetStylePx(pt, \"marginLeft\", mar);\n\tsetStylePx(pt, \"marginTop\", mar);\n\n\tlet width = o.width(self, si, size);\n\twidth && setStylePx(pt, \"borderWidth\", width);\n\n\treturn pt;\n}\n\nfunction cursorPointFill(self, si) {\n\tlet sp = self.series[si].points;\n\treturn sp._fill || sp._stroke;\n}\n\nfunction cursorPointStroke(self, si) {\n\tlet sp = self.series[si].points;\n\treturn sp._stroke || sp._fill;\n}\n\nfunction cursorPointSize(self, si) {\n\tlet sp = self.series[si].points;\n\treturn sp.size;\n}\n\nconst moveTuple = [0,0];\n\nfunction cursorMove(self, mouseLeft1, mouseTop1) {\n\tmoveTuple[0] = mouseLeft1;\n\tmoveTuple[1] = mouseTop1;\n\treturn moveTuple;\n}\n\nfunction filtBtn0(self, targ, handle, onlyTarg = true) {\n\treturn e => {\n\t\te.button == 0 && (!onlyTarg || e.target == targ) && handle(e);\n\t};\n}\n\nfunction filtTarg(self, targ, handle, onlyTarg = true) {\n\treturn e => {\n\t\t(!onlyTarg || e.target == targ) && handle(e);\n\t};\n}\n\nconst cursorOpts = {\n\tshow: true,\n\tx: true,\n\ty: true,\n\tlock: false,\n\tmove: cursorMove,\n\tpoints: {\n\t\tone: false,\n\t\tshow: cursorPointShow,\n\t\tsize: cursorPointSize,\n\t\twidth: 0,\n\t\tstroke: cursorPointStroke,\n\t\tfill: cursorPointFill,\n\t},\n\n\tbind: {\n\t\tmousedown: filtBtn0,\n\t\tmouseup: filtBtn0,\n\t\tclick: filtBtn0, // legend clicks, not .u-over clicks\n\t\tdblclick: filtBtn0,\n\n\t\tmousemove: filtTarg,\n\t\tmouseleave: filtTarg,\n\t\tmouseenter: filtTarg,\n\t},\n\n\tdrag: {\n\t\tsetScale: true,\n\t\tx: true,\n\t\ty: false,\n\t\tdist: 0,\n\t\tuni: null,\n\t\tclick: (self, e) => {\n\t\t//\te.preventDefault();\n\t\t\te.stopPropagation();\n\t\t\te.stopImmediatePropagation();\n\t\t},\n\t\t_x: false,\n\t\t_y: false,\n\t},\n\n\tfocus: {\n\t\tdist: (self, seriesIdx, dataIdx, valPos, curPos) => valPos - curPos,\n\t\tprox: -1,\n\t\tbias: 0,\n\t},\n\n\thover: {\n\t\tskip: [void 0],\n\t\tprox: null,\n\t\tbias: 0,\n\t},\n\n\tleft: -10,\n\ttop: -10,\n\tidx: null,\n\tdataIdx: null,\n\tidxs: null,\n\n\tevent: null,\n};\n\nconst axisLines = {\n\tshow: true,\n\tstroke: \"rgba(0,0,0,0.07)\",\n\twidth: 2,\n//\tdash: [],\n};\n\nconst grid = assign({}, axisLines, {\n\tfilter: retArg1,\n});\n\nconst ticks = assign({}, grid, {\n\tsize: 10,\n});\n\nconst border = assign({}, axisLines, {\n\tshow: false,\n});\n\nconst font = '12px system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", Arial, \"Noto Sans\", sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\"';\nconst labelFont = \"bold \" + font;\nconst lineGap = 1.5;\t// font-size multiplier\n\nconst xAxisOpts = {\n\tshow: true,\n\tscale: \"x\",\n\tstroke: hexBlack,\n\tspace: 50,\n\tgap: 5,\n\talignTo: 1,\n\tsize: 50,\n\tlabelGap: 0,\n\tlabelSize: 30,\n\tlabelFont,\n\tside: 2,\n//\tclass: \"x-vals\",\n//\tincrs: timeIncrs,\n//\tvalues: timeVals,\n//\tfilter: retArg1,\n\tgrid,\n\tticks,\n\tborder,\n\tfont,\n\tlineGap,\n\trotate: 0,\n};\n\nconst numSeriesLabel = \"Value\";\nconst timeSeriesLabel = \"Time\";\n\nconst xSeriesOpts = {\n\tshow: true,\n\tscale: \"x\",\n\tauto: false,\n\tsorted: 1,\n//\tlabel: \"Time\",\n//\tvalue: v => stamp(new Date(v * 1e3)),\n\n\t// internal caches\n\tmin: inf,\n\tmax: -inf,\n\tidxs: [],\n};\n\nfunction numAxisVals(self, splits, axisIdx, foundSpace, foundIncr) {\n\treturn splits.map(v => v == null ? \"\" : fmtNum(v));\n}\n\nfunction numAxisSplits(self, axisIdx, scaleMin, scaleMax, foundIncr, foundSpace, forceMin) {\n\tlet splits = [];\n\n\tlet numDec = fixedDec.get(foundIncr) || 0;\n\n\tscaleMin = forceMin ? scaleMin : roundDec(incrRoundUp(scaleMin, foundIncr), numDec);\n\n\tfor (let val = scaleMin; val <= scaleMax; val = roundDec(val + foundIncr, numDec))\n\t\tsplits.push(Object.is(val, -0) ? 0 : val);\t\t// coalesces -0\n\n\treturn splits;\n}\n\n// this doesnt work for sin, which needs to come off from 0 independently in pos and neg dirs\nfunction logAxisSplits(self, axisIdx, scaleMin, scaleMax, foundIncr, foundSpace, forceMin) {\n\tconst splits = [];\n\n\tconst logBase = self.scales[self.axes[axisIdx].scale].log;\n\n\tconst logFn = logBase == 10 ? log10 : log2;\n\n\tconst exp = floor(logFn(scaleMin));\n\n\tfoundIncr = pow(logBase, exp);\n\n\t// boo: 10 ** -24 === 1.0000000000000001e-24\n\t// this grabs the proper 1e-24 one\n\tif (logBase == 10)\n\t\tfoundIncr = numIncrs[closestIdx(foundIncr, numIncrs)];\n\n\tlet split = scaleMin;\n\tlet nextMagIncr = foundIncr * logBase;\n\n\tif (logBase == 10)\n\t\tnextMagIncr = numIncrs[closestIdx(nextMagIncr, numIncrs)];\n\n\tdo {\n\t\tsplits.push(split);\n\t\tsplit = split + foundIncr;\n\n\t\tif (logBase == 10 && !fixedDec.has(split))\n\t\t\tsplit = roundDec(split, fixedDec.get(foundIncr));\n\n\t\tif (split >= nextMagIncr) {\n\t\t\tfoundIncr = split;\n\t\t\tnextMagIncr = foundIncr * logBase;\n\n\t\t\tif (logBase == 10)\n\t\t\t\tnextMagIncr = numIncrs[closestIdx(nextMagIncr, numIncrs)];\n\t\t}\n\t} while (split <= scaleMax);\n\n\treturn splits;\n}\n\nfunction asinhAxisSplits(self, axisIdx, scaleMin, scaleMax, foundIncr, foundSpace, forceMin) {\n\tlet sc = self.scales[self.axes[axisIdx].scale];\n\n\tlet linthresh = sc.asinh;\n\n\tlet posSplits = scaleMax > linthresh ? logAxisSplits(self, axisIdx, max(linthresh, scaleMin), scaleMax, foundIncr) : [linthresh];\n\tlet zero = scaleMax >= 0 && scaleMin <= 0 ? [0] : [];\n\tlet negSplits = scaleMin < -linthresh ? logAxisSplits(self, axisIdx, max(linthresh, -scaleMax), -scaleMin, foundIncr): [linthresh];\n\n\treturn negSplits.reverse().map(v => -v).concat(zero, posSplits);\n}\n\nconst RE_ALL = /./;\nconst RE_12357 = /[12357]/;\nconst RE_125 = /[125]/;\nconst RE_1 = /1/;\n\nconst _filt = (splits, distr, re, keepMod) => splits.map((v, i) => ((distr == 4 && v == 0) || i % keepMod == 0 && re.test(v.toExponential()[v < 0 ? 1 : 0])) ? v : null);\n\nfunction log10AxisValsFilt(self, splits, axisIdx, foundSpace, foundIncr) {\n\tlet axis = self.axes[axisIdx];\n\tlet scaleKey = axis.scale;\n\tlet sc = self.scales[scaleKey];\n\n//\tif (sc.distr == 3 && sc.log == 2)\n//\t\treturn splits;\n\n\tlet valToPos = self.valToPos;\n\n\tlet minSpace = axis._space;\n\n\tlet _10 = valToPos(10, scaleKey);\n\n\tlet re = (\n\t\tvalToPos(9, scaleKey) - _10 >= minSpace ? RE_ALL :\n\t\tvalToPos(7, scaleKey) - _10 >= minSpace ? RE_12357 :\n\t\tvalToPos(5, scaleKey) - _10 >= minSpace ? RE_125 :\n\t\tRE_1\n\t);\n\n\tif (re == RE_1) {\n\t\tlet magSpace = abs(valToPos(1, scaleKey) - _10);\n\n\t\tif (magSpace < minSpace)\n\t\t\treturn _filt(splits.slice().reverse(), sc.distr, re, ceil(minSpace / magSpace)).reverse(); // max->min skip\n\t}\n\n\treturn _filt(splits, sc.distr, re, 1);\n}\n\nfunction log2AxisValsFilt(self, splits, axisIdx, foundSpace, foundIncr) {\n\tlet axis = self.axes[axisIdx];\n\tlet scaleKey = axis.scale;\n\tlet minSpace = axis._space;\n\tlet valToPos = self.valToPos;\n\n\tlet magSpace = abs(valToPos(1, scaleKey) - valToPos(2, scaleKey));\n\n\tif (magSpace < minSpace)\n\t\treturn _filt(splits.slice().reverse(), 3, RE_ALL, ceil(minSpace / magSpace)).reverse(); // max->min skip\n\n\treturn splits;\n}\n\nfunction numSeriesVal(self, val, seriesIdx, dataIdx) {\n\treturn dataIdx == null ? LEGEND_DISP : val == null ? \"\" : fmtNum(val);\n}\n\nconst yAxisOpts = {\n\tshow: true,\n\tscale: \"y\",\n\tstroke: hexBlack,\n\tspace: 30,\n\tgap: 5,\n\talignTo: 1,\n\tsize: 50,\n\tlabelGap: 0,\n\tlabelSize: 30,\n\tlabelFont,\n\tside: 3,\n//\tclass: \"y-vals\",\n//\tincrs: numIncrs,\n//\tvalues: (vals, space) => vals,\n//\tfilter: retArg1,\n\tgrid,\n\tticks,\n\tborder,\n\tfont,\n\tlineGap,\n\trotate: 0,\n};\n\n// takes stroke width\nfunction ptDia(width, mult) {\n\tlet dia = 3 + (width || 1) * 2;\n\treturn roundDec(dia * mult, 3);\n}\n\nfunction seriesPointsShow(self, si) {\n\tlet { scale, idxs } = self.series[0];\n\tlet xData = self._data[0];\n\tlet p0 = self.valToPos(xData[idxs[0]], scale, true);\n\tlet p1 = self.valToPos(xData[idxs[1]], scale, true);\n\tlet dim = abs(p1 - p0);\n\n\tlet s = self.series[si];\n//\tconst dia = ptDia(s.width, pxRatio);\n\tlet maxPts = dim / (s.points.space * pxRatio);\n\treturn idxs[1] - idxs[0] <= maxPts;\n}\n\nconst facet = {\n\tscale: null,\n\tauto: true,\n\tsorted: 0,\n\n\t// internal caches\n\tmin: inf,\n\tmax: -inf,\n};\n\nconst gaps = (self, seriesIdx, idx0, idx1, nullGaps) => nullGaps;\n\nconst xySeriesOpts = {\n\tshow: true,\n\tauto: true,\n\tsorted: 0,\n\tgaps,\n\talpha: 1,\n\tfacets: [\n\t\tassign({}, facet, {scale: 'x'}),\n\t\tassign({}, facet, {scale: 'y'}),\n\t],\n};\n\nconst ySeriesOpts = {\n\tscale: \"y\",\n\tauto: true,\n\tsorted: 0,\n\tshow: true,\n\tspanGaps: false,\n\tgaps,\n\talpha: 1,\n\tpoints: {\n\t\tshow: seriesPointsShow,\n\t\tfilter: null,\n\t// paths:\n\t//\tstroke: \"#000\",\n\t//\tfill: \"#fff\",\n\t//\twidth: 1,\n\t//\tsize: 10,\n\t},\n//\tlabel: \"Value\",\n//\tvalue: v => v,\n\tvalues: null,\n\n\t// internal caches\n\tmin: inf,\n\tmax: -inf,\n\tidxs: [],\n\n\tpath: null,\n\tclip: null,\n};\n\nfunction clampScale(self, val, scaleMin, scaleMax, scaleKey) {\n/*\n\tif (val < 0) {\n\t\tlet cssHgt = self.bbox.height / pxRatio;\n\t\tlet absPos = self.valToPos(abs(val), scaleKey);\n\t\tlet fromBtm = cssHgt - absPos;\n\t\treturn self.posToVal(cssHgt + fromBtm, scaleKey);\n\t}\n*/\n\treturn scaleMin / 10;\n}\n\nconst xScaleOpts = {\n\ttime: FEAT_TIME,\n\tauto: true,\n\tdistr: 1,\n\tlog: 10,\n\tasinh: 1,\n\tmin: null,\n\tmax: null,\n\tdir: 1,\n\tori: 0,\n};\n\nconst yScaleOpts = assign({}, xScaleOpts, {\n\ttime: false,\n\tori: 1,\n});\n\nconst syncs = {};\n\nfunction _sync(key, opts) {\n\tlet s = syncs[key];\n\n\tif (!s) {\n\t\ts = {\n\t\t\tkey,\n\t\t\tplots: [],\n\t\t\tsub(plot) {\n\t\t\t\ts.plots.push(plot);\n\t\t\t},\n\t\t\tunsub(plot) {\n\t\t\t\ts.plots = s.plots.filter(c => c != plot);\n\t\t\t},\n\t\t\tpub(type, self, x, y, w, h, i) {\n\t\t\t\tfor (let j = 0; j < s.plots.length; j++)\n\t\t\t\t\ts.plots[j] != self && s.plots[j].pub(type, self, x, y, w, h, i);\n\t\t\t},\n\t\t};\n\n\t\tif (key != null)\n\t\t\tsyncs[key] = s;\n\t}\n\n\treturn s;\n}\n\nconst BAND_CLIP_FILL = 1 << 0;\nconst BAND_CLIP_STROKE = 1 << 1;\n\nfunction orient(u, seriesIdx, cb) {\n\tconst mode = u.mode;\n\tconst series = u.series[seriesIdx];\n\tconst data = mode == 2 ? u._data[seriesIdx] : u._data;\n\tconst scales = u.scales;\n\tconst bbox = u.bbox;\n\n\tlet dx = data[0],\n\t\tdy = mode == 2 ? data[1] : data[seriesIdx],\n\t\tsx = mode == 2 ? scales[series.facets[0].scale] : scales[u.series[0].scale],\n\t\tsy = mode == 2 ? scales[series.facets[1].scale] : scales[series.scale],\n\t\tl = bbox.left,\n\t\tt = bbox.top,\n\t\tw = bbox.width,\n\t\th = bbox.height,\n\t\tH = u.valToPosH,\n\t\tV = u.valToPosV;\n\n\treturn (sx.ori == 0\n\t\t? cb(\n\t\t\tseries,\n\t\t\tdx,\n\t\t\tdy,\n\t\t\tsx,\n\t\t\tsy,\n\t\t\tH,\n\t\t\tV,\n\t\t\tl,\n\t\t\tt,\n\t\t\tw,\n\t\t\th,\n\t\t\tmoveToH,\n\t\t\tlineToH,\n\t\t\trectH,\n\t\t\tarcH,\n\t\t\tbezierCurveToH,\n\t\t)\n\t\t: cb(\n\t\t\tseries,\n\t\t\tdx,\n\t\t\tdy,\n\t\t\tsx,\n\t\t\tsy,\n\t\t\tV,\n\t\t\tH,\n\t\t\tt,\n\t\t\tl,\n\t\t\th,\n\t\t\tw,\n\t\t\tmoveToV,\n\t\t\tlineToV,\n\t\t\trectV,\n\t\t\tarcV,\n\t\t\tbezierCurveToV,\n\t\t)\n\t);\n}\n\nfunction bandFillClipDirs(self, seriesIdx) {\n\tlet fillDir = 0;\n\n\t// 2 bits, -1 | 1\n\tlet clipDirs = 0;\n\n\tlet bands = ifNull(self.bands, EMPTY_ARR);\n\n\tfor (let i = 0; i < bands.length; i++) {\n\t\tlet b = bands[i];\n\n\t\t// is a \"from\" band edge\n\t\tif (b.series[0] == seriesIdx)\n\t\t\tfillDir = b.dir;\n\t\t// is a \"to\" band edge\n\t\telse if (b.series[1] == seriesIdx) {\n\t\t\tif (b.dir == 1)\n\t\t\t\tclipDirs |= 1;\n\t\t\telse\n\t\t\t\tclipDirs |= 2;\n\t\t}\n\t}\n\n\treturn [\n\t\tfillDir,\n\t\t(\n\t\t\tclipDirs == 1 ? -1 : // neg only\n\t\t\tclipDirs == 2 ? 1 : // pos only\n\t\t\tclipDirs == 3 ? 2 : // both\n\t\t\t 0 // neither\n\t\t)\n\t];\n}\n\nfunction seriesFillTo(self, seriesIdx, dataMin, dataMax, bandFillDir) {\n\tlet mode = self.mode;\n\tlet series = self.series[seriesIdx];\n\tlet scaleKey = mode == 2 ? series.facets[1].scale : series.scale;\n\tlet scale = self.scales[scaleKey];\n\n\treturn (\n\t\tbandFillDir == -1 ? scale.min :\n\t\tbandFillDir == 1 ? scale.max :\n\t\tscale.distr == 3 ? (\n\t\t\tscale.dir == 1 ? scale.min :\n\t\t\tscale.max\n\t\t) : 0\n\t);\n}\n\n// creates inverted band clip path (from stroke path -> yMax || yMin)\n// clipDir is always inverse of fillDir\n// default clip dir is upwards (1), since default band fill is downwards/fillBelowTo (-1) (highIdx -> lowIdx)\nfunction clipBandLine(self, seriesIdx, idx0, idx1, strokePath, clipDir) {\n\treturn orient(self, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim) => {\n\t\tlet pxRound = series.pxRound;\n\n\t\tconst dir = scaleX.dir * (scaleX.ori == 0 ? 1 : -1);\n\t\tconst lineTo = scaleX.ori == 0 ? lineToH : lineToV;\n\n\t\tlet frIdx, toIdx;\n\n\t\tif (dir == 1) {\n\t\t\tfrIdx = idx0;\n\t\t\ttoIdx = idx1;\n\t\t}\n\t\telse {\n\t\t\tfrIdx = idx1;\n\t\t\ttoIdx = idx0;\n\t\t}\n\n\t\t// path start\n\t\tlet x0 = pxRound(valToPosX(dataX[frIdx], scaleX, xDim, xOff));\n\t\tlet y0 = pxRound(valToPosY(dataY[frIdx], scaleY, yDim, yOff));\n\t\t// path end x\n\t\tlet x1 = pxRound(valToPosX(dataX[toIdx], scaleX, xDim, xOff));\n\t\t// upper or lower y limit\n\t\tlet yLimit = pxRound(valToPosY(clipDir == 1 ? scaleY.max : scaleY.min, scaleY, yDim, yOff));\n\n\t\tlet clip = new Path2D(strokePath);\n\n\t\tlineTo(clip, x1, yLimit);\n\t\tlineTo(clip, x0, yLimit);\n\t\tlineTo(clip, x0, y0);\n\n\t\treturn clip;\n\t});\n}\n\nfunction clipGaps(gaps, ori, plotLft, plotTop, plotWid, plotHgt) {\n\tlet clip = null;\n\n\t// create clip path (invert gaps and non-gaps)\n\tif (gaps.length > 0) {\n\t\tclip = new Path2D();\n\n\t\tconst rect = ori == 0 ? rectH : rectV;\n\n\t\tlet prevGapEnd = plotLft;\n\n\t\tfor (let i = 0; i < gaps.length; i++) {\n\t\t\tlet g = gaps[i];\n\n\t\t\tif (g[1] > g[0]) {\n\t\t\t\tlet w = g[0] - prevGapEnd;\n\n\t\t\t\tw > 0 && rect(clip, prevGapEnd, plotTop, w, plotTop + plotHgt);\n\n\t\t\t\tprevGapEnd = g[1];\n\t\t\t}\n\t\t}\n\n\t\tlet w = plotLft + plotWid - prevGapEnd;\n\n\t\t// hack to ensure we expand the clip enough to avoid cutting off strokes at edges\n\t\tlet maxStrokeWidth = 10;\n\n\t\tw > 0 && rect(clip, prevGapEnd, plotTop - maxStrokeWidth / 2, w, plotTop + plotHgt + maxStrokeWidth);\n\t}\n\n\treturn clip;\n}\n\nfunction addGap(gaps, fromX, toX) {\n\tlet prevGap = gaps[gaps.length - 1];\n\n\tif (prevGap && prevGap[0] == fromX)\t\t\t// TODO: gaps must be encoded at stroke widths?\n\t\tprevGap[1] = toX;\n\telse\n\t\tgaps.push([fromX, toX]);\n}\n\nfunction findGaps(xs, ys, idx0, idx1, dir, pixelForX, align) {\n\tlet gaps = [];\n\tlet len = xs.length;\n\n\tfor (let i = dir == 1 ? idx0 : idx1; i >= idx0 && i <= idx1; i += dir) {\n\t\tlet yVal = ys[i];\n\n\t\tif (yVal === null) {\n\t\t\tlet fr = i, to = i;\n\n\t\t\tif (dir == 1) {\n\t\t\t\twhile (++i <= idx1 && ys[i] === null)\n\t\t\t\t\tto = i;\n\t\t\t}\n\t\t\telse {\n\t\t\t\twhile (--i >= idx0 && ys[i] === null)\n\t\t\t\t\tto = i;\n\t\t\t}\n\n\t\t\tlet frPx = pixelForX(xs[fr]);\n\t\t\tlet toPx = to == fr ? frPx : pixelForX(xs[to]);\n\n\t\t\t// if value adjacent to edge null is same pixel, then it's partially\n\t\t\t// filled and gap should start at next pixel\n\t\t\tlet fri2 = fr - dir;\n\t\t\tlet frPx2 = align <= 0 && fri2 >= 0 && fri2 < len ? pixelForX(xs[fri2]) : frPx;\n\t\t//\tif (frPx2 == frPx)\n\t\t//\t\tfrPx++;\n\t\t//\telse\n\t\t\t\tfrPx = frPx2;\n\n\t\t\tlet toi2 = to + dir;\n\t\t\tlet toPx2 = align >= 0 && toi2 >= 0 && toi2 < len ? pixelForX(xs[toi2]) : toPx;\n\t\t//\tif (toPx2 == toPx)\n\t\t//\t\ttoPx--;\n\t\t//\telse\n\t\t\t\ttoPx = toPx2;\n\n\t\t\tif (toPx >= frPx)\n\t\t\t\tgaps.push([frPx, toPx]); // addGap\n\t\t}\n\t}\n\n\treturn gaps;\n}\n\nfunction pxRoundGen(pxAlign) {\n\treturn pxAlign == 0 ? retArg0 : pxAlign == 1 ? round : v => incrRound(v, pxAlign);\n}\n\n/*\n// inefficient linear interpolation that does bi-directinal scans on each call\nexport function costlyLerp(i, idx0, idx1, _dirX, dataY) {\n\tlet prevNonNull = nonNullIdx(dataY, _dirX == 1 ? idx0 : idx1, i, -_dirX);\n\tlet nextNonNull = nonNullIdx(dataY, i, _dirX == 1 ? idx1 : idx0, _dirX);\n\n\tlet prevVal = dataY[prevNonNull];\n\tlet nextVal = dataY[nextNonNull];\n\n\treturn prevVal + (i - prevNonNull) / (nextNonNull - prevNonNull) * (nextVal - prevVal);\n}\n*/\n\nfunction rect(ori) {\n\tlet moveTo = ori == 0 ?\n\t\tmoveToH :\n\t\tmoveToV;\n\n\tlet arcTo = ori == 0 ?\n\t\t(p, x1, y1, x2, y2, r) => { p.arcTo(x1, y1, x2, y2, r); } :\n\t\t(p, y1, x1, y2, x2, r) => { p.arcTo(x1, y1, x2, y2, r); };\n\n\tlet rect = ori == 0 ?\n\t\t(p, x, y, w, h) => { p.rect(x, y, w, h); } :\n\t\t(p, y, x, h, w) => { p.rect(x, y, w, h); };\n\n\t// TODO (pending better browser support): https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/roundRect\n\treturn (p, x, y, w, h, endRad = 0, baseRad = 0) => {\n\t\tif (endRad == 0 && baseRad == 0)\n\t\t\trect(p, x, y, w, h);\n\t\telse {\n\t\t\tendRad = min(endRad, w / 2, h / 2);\n\t\t\tbaseRad = min(baseRad, w / 2, h / 2);\n\n\t\t\t// adapted from https://stackoverflow.com/questions/1255512/how-to-draw-a-rounded-rectangle-using-html-canvas/7838871#7838871\n\t\t\tmoveTo(p, x + endRad, y);\n\t\t\tarcTo(p, x + w, y, x + w, y + h, endRad);\n\t\t\tarcTo(p, x + w, y + h, x, y + h, baseRad);\n\t\t\tarcTo(p, x, y + h, x, y, baseRad);\n\t\t\tarcTo(p, x, y, x + w, y, endRad);\n\t\t\tp.closePath();\n\t\t}\n\t};\n}\n\n// orientation-inverting canvas functions\nconst moveToH = (p, x, y) => { p.moveTo(x, y); };\nconst moveToV = (p, y, x) => { p.moveTo(x, y); };\nconst lineToH = (p, x, y) => { p.lineTo(x, y); };\nconst lineToV = (p, y, x) => { p.lineTo(x, y); };\nconst rectH = rect(0);\nconst rectV = rect(1);\nconst arcH = (p, x, y, r, startAngle, endAngle) => { p.arc(x, y, r, startAngle, endAngle); };\nconst arcV = (p, y, x, r, startAngle, endAngle) => { p.arc(x, y, r, startAngle, endAngle); };\nconst bezierCurveToH = (p, bp1x, bp1y, bp2x, bp2y, p2x, p2y) => { p.bezierCurveTo(bp1x, bp1y, bp2x, bp2y, p2x, p2y); };\nconst bezierCurveToV = (p, bp1y, bp1x, bp2y, bp2x, p2y, p2x) => { p.bezierCurveTo(bp1x, bp1y, bp2x, bp2y, p2x, p2y); };\n\n// TODO: drawWrap(seriesIdx, drawPoints) (save, restore, translate, clip)\nfunction points(opts) {\n\treturn (u, seriesIdx, idx0, idx1, filtIdxs) => {\n\t//\tlog(\"drawPoints()\", arguments);\n\n\t\treturn orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim) => {\n\t\t\tlet { pxRound, points } = series;\n\n\t\t\tlet moveTo, arc;\n\n\t\t\tif (scaleX.ori == 0) {\n\t\t\t\tmoveTo = moveToH;\n\t\t\t\tarc = arcH;\n\t\t\t}\n\t\t\telse {\n\t\t\t\tmoveTo = moveToV;\n\t\t\t\tarc = arcV;\n\t\t\t}\n\n\t\t\tconst width = roundDec(points.width * pxRatio, 3);\n\n\t\t\tlet rad = (points.size - points.width) / 2 * pxRatio;\n\t\t\tlet dia = roundDec(rad * 2, 3);\n\n\t\t\tlet fill = new Path2D();\n\t\t\tlet clip = new Path2D();\n\n\t\t\tlet { left: lft, top: top, width: wid, height: hgt } = u.bbox;\n\n\t\t\trectH(clip,\n\t\t\t\tlft - dia,\n\t\t\t\ttop - dia,\n\t\t\t\twid + dia * 2,\n\t\t\t\thgt + dia * 2,\n\t\t\t);\n\n\t\t\tconst drawPoint = pi => {\n\t\t\t\tif (dataY[pi] != null) {\n\t\t\t\t\tlet x = pxRound(valToPosX(dataX[pi], scaleX, xDim, xOff));\n\t\t\t\t\tlet y = pxRound(valToPosY(dataY[pi], scaleY, yDim, yOff));\n\n\t\t\t\t\tmoveTo(fill, x + rad, y);\n\t\t\t\t\tarc(fill, x, y, rad, 0, PI * 2);\n\t\t\t\t}\n\t\t\t};\n\n\t\t\tif (filtIdxs)\n\t\t\t\tfiltIdxs.forEach(drawPoint);\n\t\t\telse {\n\t\t\t\tfor (let pi = idx0; pi <= idx1; pi++)\n\t\t\t\t\tdrawPoint(pi);\n\t\t\t}\n\n\t\t\treturn {\n\t\t\t\tstroke: width > 0 ? fill : null,\n\t\t\t\tfill,\n\t\t\t\tclip,\n\t\t\t\tflags: BAND_CLIP_FILL | BAND_CLIP_STROKE,\n\t\t\t};\n\t\t});\n\t};\n}\n\nfunction _drawAcc(lineTo) {\n\treturn (stroke, accX, minY, maxY, inY, outY) => {\n\t\tif (minY != maxY) {\n\t\t\tif (inY != minY && outY != minY)\n\t\t\t\tlineTo(stroke, accX, minY);\n\t\t\tif (inY != maxY && outY != maxY)\n\t\t\t\tlineTo(stroke, accX, maxY);\n\n\t\t\tlineTo(stroke, accX, outY);\n\t\t}\n\t};\n}\n\nconst drawAccH = _drawAcc(lineToH);\nconst drawAccV = _drawAcc(lineToV);\n\nfunction linear(opts) {\n\tconst alignGaps = ifNull(opts?.alignGaps, 0);\n\n\treturn (u, seriesIdx, idx0, idx1) => {\n\t\treturn orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim) => {\n\t\t\t[idx0, idx1] = nonNullIdxs(dataY, idx0, idx1);\n\n\t\t\tlet pxRound = series.pxRound;\n\n\t\t\tlet pixelForX = val => pxRound(valToPosX(val, scaleX, xDim, xOff));\n\t\t\tlet pixelForY = val => pxRound(valToPosY(val, scaleY, yDim, yOff));\n\n\t\t\tlet lineTo, drawAcc;\n\n\t\t\tif (scaleX.ori == 0) {\n\t\t\t\tlineTo = lineToH;\n\t\t\t\tdrawAcc = drawAccH;\n\t\t\t}\n\t\t\telse {\n\t\t\t\tlineTo = lineToV;\n\t\t\t\tdrawAcc = drawAccV;\n\t\t\t}\n\n\t\t\tconst dir = scaleX.dir * (scaleX.ori == 0 ? 1 : -1);\n\n\t\t\tconst _paths = {stroke: new Path2D(), fill: null, clip: null, band: null, gaps: null, flags: BAND_CLIP_FILL};\n\t\t\tconst stroke = _paths.stroke;\n\n\t\t\tlet hasGap = false;\n\n\t\t\t// decimate when number of points >= 4x available pixels\n\t\t\tconst decimate = idx1 - idx0 >= xDim * 4;\n\n\t\t\tif (decimate) {\n\t\t\t\tlet xForPixel = pos => u.posToVal(pos, scaleX.key, true);\n\n\t\t\t\tlet minY = null,\n\t\t\t\t\tmaxY = null,\n\t\t\t\t\tinY, outY, drawnAtX;\n\n\t\t\t\tlet accX = pixelForX(dataX[dir == 1 ? idx0 : idx1]);\n\n\t\t\t\tlet idx0px = pixelForX(dataX[idx0]);\n\t\t\t\tlet idx1px = pixelForX(dataX[idx1]);\n\n\t\t\t\t// tracks limit of current x bucket to avoid having to get x pixel for every x value\n\t\t\t\tlet nextAccXVal = xForPixel(dir == 1 ? idx0px + 1 : idx1px - 1);\n\n\t\t\t\tfor (let i = dir == 1 ? idx0 : idx1; i >= idx0 && i <= idx1; i += dir) {\n\t\t\t\t\tlet xVal = dataX[i];\n\t\t\t\t\tlet reuseAccX = dir == 1 ? (xVal < nextAccXVal) : (xVal > nextAccXVal);\n\t\t\t\t\tlet x = reuseAccX ? accX : pixelForX(xVal);\n\n\t\t\t\t\tlet yVal = dataY[i];\n\n\t\t\t\t\tif (x == accX) {\n\t\t\t\t\t\tif (yVal != null) {\n\t\t\t\t\t\t\toutY = yVal;\n\n\t\t\t\t\t\t\tif (minY == null) {\n\t\t\t\t\t\t\t\tlineTo(stroke, x, pixelForY(outY));\n\t\t\t\t\t\t\t\tinY = minY = maxY = outY;\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tif (outY < minY)\n\t\t\t\t\t\t\t\t\tminY = outY;\n\t\t\t\t\t\t\t\telse if (outY > maxY)\n\t\t\t\t\t\t\t\t\tmaxY = outY;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tif (yVal === null)\n\t\t\t\t\t\t\t\thasGap = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tif (minY != null)\n\t\t\t\t\t\t\tdrawAcc(stroke, accX, pixelForY(minY), pixelForY(maxY), pixelForY(inY), pixelForY(outY));\n\n\t\t\t\t\t\tif (yVal != null) {\n\t\t\t\t\t\t\toutY = yVal;\n\t\t\t\t\t\t\tlineTo(stroke, x, pixelForY(outY));\n\t\t\t\t\t\t\tminY = maxY = inY = outY;\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tminY = maxY = null;\n\n\t\t\t\t\t\t\tif (yVal === null)\n\t\t\t\t\t\t\t\thasGap = true;\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\taccX = x;\n\t\t\t\t\t\tnextAccXVal = xForPixel(accX + dir);\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tif (minY != null && minY != maxY && drawnAtX != accX)\n\t\t\t\t\tdrawAcc(stroke, accX, pixelForY(minY), pixelForY(maxY), pixelForY(inY), pixelForY(outY));\n\t\t\t}\n\t\t\telse {\n\t\t\t\tfor (let i = dir == 1 ? idx0 : idx1; i >= idx0 && i <= idx1; i += dir) {\n\t\t\t\t\tlet yVal = dataY[i];\n\n\t\t\t\t\tif (yVal === null)\n\t\t\t\t\t\thasGap = true;\n\t\t\t\t\telse if (yVal != null)\n\t\t\t\t\t\tlineTo(stroke, pixelForX(dataX[i]), pixelForY(yVal));\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tlet [ bandFillDir, bandClipDir ] = bandFillClipDirs(u, seriesIdx);\n\n\t\t\tif (series.fill != null || bandFillDir != 0) {\n\t\t\t\tlet fill = _paths.fill = new Path2D(stroke);\n\n\t\t\t\tlet fillToVal = series.fillTo(u, seriesIdx, series.min, series.max, bandFillDir);\n\t\t\t\tlet fillToY = pixelForY(fillToVal);\n\n\t\t\t\tlet frX = pixelForX(dataX[idx0]);\n\t\t\t\tlet toX = pixelForX(dataX[idx1]);\n\n\t\t\t\tif (dir == -1)\n\t\t\t\t\t[toX, frX] = [frX, toX];\n\n\t\t\t\tlineTo(fill, toX, fillToY);\n\t\t\t\tlineTo(fill, frX, fillToY);\n\t\t\t}\n\n\t\t\tif (!series.spanGaps) { // skip in mode: 2?\n\t\t\t//\tconsole.time('gaps');\n\t\t\t\tlet gaps = [];\n\n\t\t\t\thasGap && gaps.push(...findGaps(dataX, dataY, idx0, idx1, dir, pixelForX, alignGaps));\n\n\t\t\t//\tconsole.timeEnd('gaps');\n\n\t\t\t//\tconsole.log('gaps', JSON.stringify(gaps));\n\n\t\t\t\t_paths.gaps = gaps = series.gaps(u, seriesIdx, idx0, idx1, gaps);\n\n\t\t\t\t_paths.clip = clipGaps(gaps, scaleX.ori, xOff, yOff, xDim, yDim);\n\t\t\t}\n\n\t\t\tif (bandClipDir != 0) {\n\t\t\t\t_paths.band = bandClipDir == 2 ? [\n\t\t\t\t\tclipBandLine(u, seriesIdx, idx0, idx1, stroke, -1),\n\t\t\t\t\tclipBandLine(u, seriesIdx, idx0, idx1, stroke, 1),\n\t\t\t\t] : clipBandLine(u, seriesIdx, idx0, idx1, stroke, bandClipDir);\n\t\t\t}\n\n\t\t\treturn _paths;\n\t\t});\n\t};\n}\n\n// BUG: align: -1 behaves like align: 1 when scale.dir: -1\nfunction stepped(opts) {\n\tconst align = ifNull(opts.align, 1);\n\t// whether to draw ascenders/descenders at null/gap bondaries\n\tconst ascDesc = ifNull(opts.ascDesc, false);\n\tconst alignGaps = ifNull(opts.alignGaps, 0);\n\tconst extend = ifNull(opts.extend, false);\n\n\treturn (u, seriesIdx, idx0, idx1) => {\n\t\treturn orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim) => {\n\t\t\t[idx0, idx1] = nonNullIdxs(dataY, idx0, idx1);\n\n\t\t\tlet pxRound = series.pxRound;\n\n\t\t\tlet { left, width } = u.bbox;\n\n\t\t\tlet pixelForX = val => pxRound(valToPosX(val, scaleX, xDim, xOff));\n\t\t\tlet pixelForY = val => pxRound(valToPosY(val, scaleY, yDim, yOff));\n\n\t\t\tlet lineTo = scaleX.ori == 0 ? lineToH : lineToV;\n\n\t\t\tconst _paths = {stroke: new Path2D(), fill: null, clip: null, band: null, gaps: null, flags: BAND_CLIP_FILL};\n\t\t\tconst stroke = _paths.stroke;\n\n\t\t\tconst dir = scaleX.dir * (scaleX.ori == 0 ? 1 : -1);\n\n\t\t\tlet prevYPos = pixelForY(dataY[dir == 1 ? idx0 : idx1]);\n\t\t\tlet firstXPos = pixelForX(dataX[dir == 1 ? idx0 : idx1]);\n\t\t\tlet prevXPos = firstXPos;\n\n\t\t\tlet firstXPosExt = firstXPos;\n\n\t\t\tif (extend && align == -1) {\n\t\t\t\tfirstXPosExt = left;\n\t\t\t\tlineTo(stroke, firstXPosExt, prevYPos);\n\t\t\t}\n\n\t\t\tlineTo(stroke, firstXPos, prevYPos);\n\n\t\t\tfor (let i = dir == 1 ? idx0 : idx1; i >= idx0 && i <= idx1; i += dir) {\n\t\t\t\tlet yVal1 = dataY[i];\n\n\t\t\t\tif (yVal1 == null)\n\t\t\t\t\tcontinue;\n\n\t\t\t\tlet x1 = pixelForX(dataX[i]);\n\t\t\t\tlet y1 = pixelForY(yVal1);\n\n\t\t\t\tif (align == 1)\n\t\t\t\t\tlineTo(stroke, x1, prevYPos);\n\t\t\t\telse\n\t\t\t\t\tlineTo(stroke, prevXPos, y1);\n\n\t\t\t\tlineTo(stroke, x1, y1);\n\n\t\t\t\tprevYPos = y1;\n\t\t\t\tprevXPos = x1;\n\t\t\t}\n\n\t\t\tlet prevXPosExt = prevXPos;\n\n\t\t\tif (extend && align == 1) {\n\t\t\t\tprevXPosExt = left + width;\n\t\t\t\tlineTo(stroke, prevXPosExt, prevYPos);\n\t\t\t}\n\n\t\t\tlet [ bandFillDir, bandClipDir ] = bandFillClipDirs(u, seriesIdx);\n\n\t\t\tif (series.fill != null || bandFillDir != 0) {\n\t\t\t\tlet fill = _paths.fill = new Path2D(stroke);\n\n\t\t\t\tlet fillTo = series.fillTo(u, seriesIdx, series.min, series.max, bandFillDir);\n\t\t\t\tlet fillToY = pixelForY(fillTo);\n\n\t\t\t\tlineTo(fill, prevXPosExt, fillToY);\n\t\t\t\tlineTo(fill, firstXPosExt, fillToY);\n\t\t\t}\n\n\t\t\tif (!series.spanGaps) {\n\t\t\t//\tconsole.time('gaps');\n\t\t\t\tlet gaps = [];\n\n\t\t\t\tgaps.push(...findGaps(dataX, dataY, idx0, idx1, dir, pixelForX, alignGaps));\n\n\t\t\t//\tconsole.timeEnd('gaps');\n\n\t\t\t//\tconsole.log('gaps', JSON.stringify(gaps));\n\n\t\t\t\t// expand/contract clips for ascenders/descenders\n\t\t\t\tlet halfStroke = (series.width * pxRatio) / 2;\n\t\t\t\tlet startsOffset = (ascDesc || align == 1) ? halfStroke : -halfStroke;\n\t\t\t\tlet endsOffset = (ascDesc || align == -1) ? -halfStroke : halfStroke;\n\n\t\t\t\tgaps.forEach(g => {\n\t\t\t\t\tg[0] += startsOffset;\n\t\t\t\t\tg[1] += endsOffset;\n\t\t\t\t});\n\n\t\t\t\t_paths.gaps = gaps = series.gaps(u, seriesIdx, idx0, idx1, gaps);\n\n\t\t\t\t_paths.clip = clipGaps(gaps, scaleX.ori, xOff, yOff, xDim, yDim);\n\t\t\t}\n\n\t\t\tif (bandClipDir != 0) {\n\t\t\t\t_paths.band = bandClipDir == 2 ? [\n\t\t\t\t\tclipBandLine(u, seriesIdx, idx0, idx1, stroke, -1),\n\t\t\t\t\tclipBandLine(u, seriesIdx, idx0, idx1, stroke, 1),\n\t\t\t\t] : clipBandLine(u, seriesIdx, idx0, idx1, stroke, bandClipDir);\n\t\t\t}\n\n\t\t\treturn _paths;\n\t\t});\n\t};\n}\n\nfunction findColWidth(dataX, dataY, valToPosX, scaleX, xDim, xOff, colWid = inf) {\n\tif (dataX.length > 1) {\n\t\t// prior index with non-undefined y data\n\t\tlet prevIdx = null;\n\n\t\t// scan full dataset for smallest adjacent delta\n\t\t// will not work properly for non-linear x scales, since does not do expensive valToPosX calcs till end\n\t\tfor (let i = 0, minDelta = Infinity; i < dataX.length; i++) {\n\t\t\tif (dataY[i] !== undefined) {\n\t\t\t\tif (prevIdx != null) {\n\t\t\t\t\tlet delta = abs(dataX[i] - dataX[prevIdx]);\n\n\t\t\t\t\tif (delta < minDelta) {\n\t\t\t\t\t\tminDelta = delta;\n\t\t\t\t\t\tcolWid = abs(valToPosX(dataX[i], scaleX, xDim, xOff) - valToPosX(dataX[prevIdx], scaleX, xDim, xOff));\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tprevIdx = i;\n\t\t\t}\n\t\t}\n\t}\n\n\treturn colWid;\n}\n\nfunction bars(opts) {\n\topts = opts || EMPTY_OBJ;\n\tconst size = ifNull(opts.size, [0.6, inf, 1]);\n\tconst align = opts.align || 0;\n\tconst _extraGap = (opts.gap || 0);\n\n\tlet ro = opts.radius;\n\n\tro =\n\t\t// [valueRadius, baselineRadius]\n\t\tro == null ? [0, 0] :\n\t\ttypeof ro == 'number' ? [ro, 0] : ro;\n\n\tconst radiusFn = fnOrSelf(ro);\n\n\tconst gapFactor = 1 - size[0];\n\tconst _maxWidth = ifNull(size[1], inf);\n\tconst _minWidth = ifNull(size[2], 1);\n\n\tconst disp = ifNull(opts.disp, EMPTY_OBJ);\n\tconst _each = ifNull(opts.each, _ => {});\n\n\tconst { fill: dispFills, stroke: dispStrokes } = disp;\n\n\treturn (u, seriesIdx, idx0, idx1) => {\n\t\treturn orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim) => {\n\t\t\tlet pxRound = series.pxRound;\n\t\t\tlet _align = align;\n\n\t\t\tlet extraGap = _extraGap * pxRatio;\n\t\t\tlet maxWidth = _maxWidth * pxRatio;\n\t\t\tlet minWidth = _minWidth * pxRatio;\n\n\t\t\tlet valRadius, baseRadius;\n\n\t\t\tif (scaleX.ori == 0)\n\t\t\t\t[valRadius, baseRadius] = radiusFn(u, seriesIdx);\n\t\t\telse\n\t\t\t\t[baseRadius, valRadius] = radiusFn(u, seriesIdx);\n\n\t\t\tconst _dirX = scaleX.dir * (scaleX.ori == 0 ? 1 : -1);\n\t\t//\tconst _dirY = scaleY.dir * (scaleY.ori == 1 ? 1 : -1);\n\n\t\t\tlet rect = scaleX.ori == 0 ? rectH : rectV;\n\n\t\t\tlet each = scaleX.ori == 0 ? _each : (u, seriesIdx, i, top, lft, hgt, wid) => {\n\t\t\t\t_each(u, seriesIdx, i, lft, top, wid, hgt);\n\t\t\t};\n\n\t\t\t// band where this series is the \"from\" edge\n\t\t\tlet band = ifNull(u.bands, EMPTY_ARR).find(b => b.series[0] == seriesIdx);\n\n\t\t\tlet fillDir = band != null ? band.dir : 0;\n\t\t\tlet fillTo = series.fillTo(u, seriesIdx, series.min, series.max, fillDir);\n\t\t\tlet fillToY = pxRound(valToPosY(fillTo, scaleY, yDim, yOff));\n\n\t\t\t// barWid is to center of stroke\n\t\t\tlet xShift, barWid, fullGap, colWid = xDim;\n\n\t\t\tlet strokeWidth = pxRound(series.width * pxRatio);\n\n\t\t\tlet multiPath = false;\n\n\t\t\tlet fillColors = null;\n\t\t\tlet fillPaths = null;\n\t\t\tlet strokeColors = null;\n\t\t\tlet strokePaths = null;\n\n\t\t\tif (dispFills != null && (strokeWidth == 0 || dispStrokes != null)) {\n\t\t\t\tmultiPath = true;\n\n\t\t\t\tfillColors = dispFills.values(u, seriesIdx, idx0, idx1);\n\t\t\t\tfillPaths = new Map();\n\t\t\t\t(new Set(fillColors)).forEach(color => {\n\t\t\t\t\tif (color != null)\n\t\t\t\t\t\tfillPaths.set(color, new Path2D());\n\t\t\t\t});\n\n\t\t\t\tif (strokeWidth > 0) {\n\t\t\t\t\tstrokeColors = dispStrokes.values(u, seriesIdx, idx0, idx1);\n\t\t\t\t\tstrokePaths = new Map();\n\t\t\t\t\t(new Set(strokeColors)).forEach(color => {\n\t\t\t\t\t\tif (color != null)\n\t\t\t\t\t\t\tstrokePaths.set(color, new Path2D());\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tlet { x0, size } = disp;\n\n\t\t\tif (x0 != null && size != null) {\n\t\t\t\t_align = 1;\n\t\t\t\tdataX = x0.values(u, seriesIdx, idx0, idx1);\n\n\t\t\t\tif (x0.unit == 2)\n\t\t\t\t\tdataX = dataX.map(pct => u.posToVal(xOff + pct * xDim, scaleX.key, true));\n\n\t\t\t\t// assumes uniform sizes, for now\n\t\t\t\tlet sizes = size.values(u, seriesIdx, idx0, idx1);\n\n\t\t\t\tif (size.unit == 2)\n\t\t\t\t\tbarWid = sizes[0] * xDim;\n\t\t\t\telse\n\t\t\t\t\tbarWid = valToPosX(sizes[0], scaleX, xDim, xOff) - valToPosX(0, scaleX, xDim, xOff); // assumes linear scale (delta from 0)\n\n\t\t\t\tcolWid = findColWidth(dataX, dataY, valToPosX, scaleX, xDim, xOff, colWid);\n\n\t\t\t\tlet gapWid = colWid - barWid;\n\t\t\t\tfullGap = gapWid + extraGap;\n\t\t\t}\n\t\t\telse {\n\t\t\t\tcolWid = findColWidth(dataX, dataY, valToPosX, scaleX, xDim, xOff, colWid);\n\n\t\t\t\tlet gapWid = colWid * gapFactor;\n\n\t\t\t\tfullGap = gapWid + extraGap;\n\t\t\t\tbarWid = colWid - fullGap;\n\t\t\t}\n\n\t\t\tif (fullGap < 1)\n\t\t\t\tfullGap = 0;\n\n\t\t\tif (strokeWidth >= barWid / 2)\n\t\t\t\tstrokeWidth = 0;\n\n\t\t\t// for small gaps, disable pixel snapping since gap inconsistencies become noticible and annoying\n\t\t\tif (fullGap < 5)\n\t\t\t\tpxRound = retArg0;\n\n\t\t\tlet insetStroke = fullGap > 0;\n\n\t\t\tlet rawBarWid = colWid - fullGap - (insetStroke ? strokeWidth : 0);\n\n\t\t\tbarWid = pxRound(clamp(rawBarWid, minWidth, maxWidth));\n\n\t\t\txShift = (_align == 0 ? barWid / 2 : _align == _dirX ? 0 : barWid) - _align * _dirX * ((_align == 0 ? extraGap / 2 : 0) + (insetStroke ? strokeWidth / 2 : 0));\n\n\n\t\t\tconst _paths = {stroke: null, fill: null, clip: null, band: null, gaps: null, flags: 0}; // disp, geom\n\n\t\t\tconst stroke = multiPath ? null : new Path2D();\n\n\t\t\tlet dataY0 = null;\n\n\t\t\tif (band != null)\n\t\t\t\tdataY0 = u.data[band.series[1]];\n\t\t\telse {\n\t\t\t\tlet { y0, y1 } = disp;\n\n\t\t\t\tif (y0 != null && y1 != null) {\n\t\t\t\t\tdataY = y1.values(u, seriesIdx, idx0, idx1);\n\t\t\t\t\tdataY0 = y0.values(u, seriesIdx, idx0, idx1);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tlet radVal = valRadius * barWid;\n\t\t\tlet radBase = baseRadius * barWid;\n\n\t\t\tfor (let i = _dirX == 1 ? idx0 : idx1; i >= idx0 && i <= idx1; i += _dirX) {\n\t\t\t\tlet yVal = dataY[i];\n\n\t\t\t\tif (yVal == null)\n\t\t\t\t\tcontinue;\n\n\t\t\t\tif (dataY0 != null) {\n\t\t\t\t\tlet yVal0 = dataY0[i] ?? 0;\n\n\t\t\t\t\tif (yVal - yVal0 == 0)\n\t\t\t\t\t\tcontinue;\n\n\t\t\t\t\tfillToY = valToPosY(yVal0, scaleY, yDim, yOff);\n\t\t\t\t}\n\n\t\t\t\tlet xVal = scaleX.distr != 2 || disp != null ? dataX[i] : i;\n\n\t\t\t\t// TODO: all xPos can be pre-computed once for all series in aligned set\n\t\t\t\tlet xPos = valToPosX(xVal, scaleX, xDim, xOff);\n\t\t\t\tlet yPos = valToPosY(ifNull(yVal, fillTo), scaleY, yDim, yOff);\n\n\t\t\t\tlet lft = pxRound(xPos - xShift);\n\t\t\t\tlet btm = pxRound(max(yPos, fillToY));\n\t\t\t\tlet top = pxRound(min(yPos, fillToY));\n\t\t\t\t// this includes the stroke\n\t\t\t\tlet barHgt = btm - top;\n\n\t\t\t\tif (yVal != null) { // && yVal != fillTo (0 height bar)\n\t\t\t\t\tlet rv = yVal < 0 ? radBase : radVal;\n\t\t\t\t\tlet rb = yVal < 0 ? radVal : radBase;\n\n\t\t\t\t\tif (multiPath) {\n\t\t\t\t\t\tif (strokeWidth > 0 && strokeColors[i] != null)\n\t\t\t\t\t\t\trect(strokePaths.get(strokeColors[i]), lft, top + floor(strokeWidth / 2), barWid, max(0, barHgt - strokeWidth), rv, rb);\n\n\t\t\t\t\t\tif (fillColors[i] != null)\n\t\t\t\t\t\t\trect(fillPaths.get(fillColors[i]), lft, top + floor(strokeWidth / 2), barWid, max(0, barHgt - strokeWidth), rv, rb);\n\t\t\t\t\t}\n\t\t\t\t\telse\n\t\t\t\t\t\trect(stroke, lft, top + floor(strokeWidth / 2), barWid, max(0, barHgt - strokeWidth), rv, rb);\n\n\t\t\t\t\teach(u, seriesIdx, i,\n\t\t\t\t\t\tlft - strokeWidth / 2,\n\t\t\t\t\t\ttop,\n\t\t\t\t\t\tbarWid + strokeWidth,\n\t\t\t\t\t\tbarHgt,\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (strokeWidth > 0)\n\t\t\t\t_paths.stroke = multiPath ? strokePaths : stroke;\n\t\t\telse if (!multiPath) {\n\t\t\t\t_paths._fill = series.width == 0 ? series._fill : series._stroke ?? series._fill;\n\t\t\t\t_paths.width = 0;\n\t\t\t}\n\n\t\t\t_paths.fill = multiPath ? fillPaths : stroke;\n\n\t\t\treturn _paths;\n\t\t});\n\t};\n}\n\nfunction splineInterp(interp, opts) {\n\tconst alignGaps = ifNull(opts?.alignGaps, 0);\n\n\treturn (u, seriesIdx, idx0, idx1) => {\n\t\treturn orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim) => {\n\t\t\t[idx0, idx1] = nonNullIdxs(dataY, idx0, idx1);\n\n\t\t\tlet pxRound = series.pxRound;\n\n\t\t\tlet pixelForX = val => pxRound(valToPosX(val, scaleX, xDim, xOff));\n\t\t\tlet pixelForY = val => pxRound(valToPosY(val, scaleY, yDim, yOff));\n\n\t\t\tlet moveTo, bezierCurveTo, lineTo;\n\n\t\t\tif (scaleX.ori == 0) {\n\t\t\t\tmoveTo = moveToH;\n\t\t\t\tlineTo = lineToH;\n\t\t\t\tbezierCurveTo = bezierCurveToH;\n\t\t\t}\n\t\t\telse {\n\t\t\t\tmoveTo = moveToV;\n\t\t\t\tlineTo = lineToV;\n\t\t\t\tbezierCurveTo = bezierCurveToV;\n\t\t\t}\n\n\t\t\tconst dir = scaleX.dir * (scaleX.ori == 0 ? 1 : -1);\n\n\t\t\tlet firstXPos = pixelForX(dataX[dir == 1 ? idx0 : idx1]);\n\t\t\tlet prevXPos = firstXPos;\n\n\t\t\tlet xCoords = [];\n\t\t\tlet yCoords = [];\n\n\t\t\tfor (let i = dir == 1 ? idx0 : idx1; i >= idx0 && i <= idx1; i += dir) {\n\t\t\t\tlet yVal = dataY[i];\n\n\t\t\t\tif (yVal != null) {\n\t\t\t\t\tlet xVal = dataX[i];\n\t\t\t\t\tlet xPos = pixelForX(xVal);\n\n\t\t\t\t\txCoords.push(prevXPos = xPos);\n\t\t\t\t\tyCoords.push(pixelForY(dataY[i]));\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tconst _paths = {stroke: interp(xCoords, yCoords, moveTo, lineTo, bezierCurveTo, pxRound), fill: null, clip: null, band: null, gaps: null, flags: BAND_CLIP_FILL};\n\t\t\tconst stroke = _paths.stroke;\n\n\t\t\tlet [ bandFillDir, bandClipDir ] = bandFillClipDirs(u, seriesIdx);\n\n\t\t\tif (series.fill != null || bandFillDir != 0) {\n\t\t\t\tlet fill = _paths.fill = new Path2D(stroke);\n\n\t\t\t\tlet fillTo = series.fillTo(u, seriesIdx, series.min, series.max, bandFillDir);\n\t\t\t\tlet fillToY = pixelForY(fillTo);\n\n\t\t\t\tlineTo(fill, prevXPos, fillToY);\n\t\t\t\tlineTo(fill, firstXPos, fillToY);\n\t\t\t}\n\n\t\t\tif (!series.spanGaps) {\n\t\t\t//\tconsole.time('gaps');\n\t\t\t\tlet gaps = [];\n\n\t\t\t\tgaps.push(...findGaps(dataX, dataY, idx0, idx1, dir, pixelForX, alignGaps));\n\n\t\t\t//\tconsole.timeEnd('gaps');\n\n\t\t\t//\tconsole.log('gaps', JSON.stringify(gaps));\n\n\t\t\t\t_paths.gaps = gaps = series.gaps(u, seriesIdx, idx0, idx1, gaps);\n\n\t\t\t\t_paths.clip = clipGaps(gaps, scaleX.ori, xOff, yOff, xDim, yDim);\n\t\t\t}\n\n\t\t\tif (bandClipDir != 0) {\n\t\t\t\t_paths.band = bandClipDir == 2 ? [\n\t\t\t\t\tclipBandLine(u, seriesIdx, idx0, idx1, stroke, -1),\n\t\t\t\t\tclipBandLine(u, seriesIdx, idx0, idx1, stroke, 1),\n\t\t\t\t] : clipBandLine(u, seriesIdx, idx0, idx1, stroke, bandClipDir);\n\t\t\t}\n\n\t\t\treturn _paths;\n\n\t\t\t// if FEAT_PATHS: false in rollup.config.js\n\t\t\t//\tu.ctx.save();\n\t\t\t//\tu.ctx.beginPath();\n\t\t\t//\tu.ctx.rect(u.bbox.left, u.bbox.top, u.bbox.width, u.bbox.height);\n\t\t\t//\tu.ctx.clip();\n\t\t\t//\tu.ctx.strokeStyle = u.series[sidx].stroke;\n\t\t\t//\tu.ctx.stroke(stroke);\n\t\t\t//\tu.ctx.fillStyle = u.series[sidx].fill;\n\t\t\t//\tu.ctx.fill(fill);\n\t\t\t//\tu.ctx.restore();\n\t\t\t//\treturn null;\n\t\t});\n\t};\n}\n\nfunction monotoneCubic(opts) {\n\treturn splineInterp(_monotoneCubic, opts);\n}\n\n// Monotone Cubic Spline interpolation, adapted from the Chartist.js implementation:\n// https://github.com/gionkunz/chartist-js/blob/e7e78201bffe9609915e5e53cfafa29a5d6c49f9/src/scripts/interpolation.js#L240-L369\nfunction _monotoneCubic(xs, ys, moveTo, lineTo, bezierCurveTo, pxRound) {\n\tconst n = xs.length;\n\n\tif (n < 2)\n\t\treturn null;\n\n\tconst path = new Path2D();\n\n\tmoveTo(path, xs[0], ys[0]);\n\n\tif (n == 2)\n\t\tlineTo(path, xs[1], ys[1]);\n\telse {\n\t\tlet ms = Array(n),\n\t\t\tds = Array(n - 1),\n\t\t\tdys = Array(n - 1),\n\t\t\tdxs = Array(n - 1);\n\n\t\t// calc deltas and derivative\n\t\tfor (let i = 0; i < n - 1; i++) {\n\t\t\tdys[i] = ys[i + 1] - ys[i];\n\t\t\tdxs[i] = xs[i + 1] - xs[i];\n\t\t\tds[i] = dys[i] / dxs[i];\n\t\t}\n\n\t\t// determine desired slope (m) at each point using Fritsch-Carlson method\n\t\t// http://math.stackexchange.com/questions/45218/implementation-of-monotone-cubic-interpolation\n\t\tms[0] = ds[0];\n\n\t\tfor (let i = 1; i < n - 1; i++) {\n\t\t\tif (ds[i] === 0 || ds[i - 1] === 0 || (ds[i - 1] > 0) !== (ds[i] > 0))\n\t\t\t\tms[i] = 0;\n\t\t\telse {\n\t\t\t\tms[i] = 3 * (dxs[i - 1] + dxs[i]) / (\n\t\t\t\t\t(2 * dxs[i] + dxs[i - 1]) / ds[i - 1] +\n\t\t\t\t\t(dxs[i] + 2 * dxs[i - 1]) / ds[i]\n\t\t\t\t);\n\n\t\t\t\tif (!isFinite(ms[i]))\n\t\t\t\t\tms[i] = 0;\n\t\t\t}\n\t\t}\n\n\t\tms[n - 1] = ds[n - 2];\n\n\t\tfor (let i = 0; i < n - 1; i++) {\n\t\t\tbezierCurveTo(\n\t\t\t\tpath,\n\t\t\t\txs[i] + dxs[i] / 3,\n\t\t\t\tys[i] + ms[i] * dxs[i] / 3,\n\t\t\t\txs[i + 1] - dxs[i] / 3,\n\t\t\t\tys[i + 1] - ms[i + 1] * dxs[i] / 3,\n\t\t\t\txs[i + 1],\n\t\t\t\tys[i + 1],\n\t\t\t);\n\t\t}\n\t}\n\n\treturn path;\n}\n\nconst cursorPlots = new Set();\n\nfunction invalidateRects() {\n\tfor (let u of cursorPlots)\n\t\tu.syncRect(true);\n}\n\nif (domEnv) {\n\ton(resize, win, invalidateRects);\n\ton(scroll, win, invalidateRects, true);\n\ton(dppxchange, win, () => { uPlot.pxRatio = pxRatio; });\n}\n\nconst linearPath = linear() ;\nconst pointsPath = points() ;\n\nfunction setDefaults(d, xo, yo, initY) {\n\tlet d2 = initY ? [d[0], d[1]].concat(d.slice(2)) : [d[0]].concat(d.slice(1));\n\treturn d2.map((o, i) => setDefault(o, i, xo, yo));\n}\n\nfunction setDefaults2(d, xyo) {\n\treturn d.map((o, i) => i == 0 ? {} : assign({}, xyo, o)); // todo: assign() will not merge facet arrays\n}\n\nfunction setDefault(o, i, xo, yo) {\n\treturn assign({}, (i == 0 ? xo : yo), o);\n}\n\nfunction snapNumX(self, dataMin, dataMax) {\n\treturn dataMin == null ? nullNullTuple : [dataMin, dataMax];\n}\n\nconst snapTimeX = snapNumX;\n\n// this ensures that non-temporal/numeric y-axes get multiple-snapped padding added above/below\n// TODO: also account for incrs when snapping to ensure top of axis gets a tick & value\nfunction snapNumY(self, dataMin, dataMax) {\n\treturn dataMin == null ? nullNullTuple : rangeNum(dataMin, dataMax, rangePad, true);\n}\n\nfunction snapLogY(self, dataMin, dataMax, scale) {\n\treturn dataMin == null ? nullNullTuple : rangeLog(dataMin, dataMax, self.scales[scale].log, false);\n}\n\nconst snapLogX = snapLogY;\n\nfunction snapAsinhY(self, dataMin, dataMax, scale) {\n\treturn dataMin == null ? nullNullTuple : rangeAsinh(dataMin, dataMax, self.scales[scale].log, false);\n}\n\nconst snapAsinhX = snapAsinhY;\n\n// dim is logical (getClientBoundingRect) pixels, not canvas pixels\nfunction findIncr(minVal, maxVal, incrs, dim, minSpace) {\n\tlet intDigits = max(numIntDigits(minVal), numIntDigits(maxVal));\n\n\tlet delta = maxVal - minVal;\n\n\tlet incrIdx = closestIdx((minSpace / dim) * delta, incrs);\n\n\tdo {\n\t\tlet foundIncr = incrs[incrIdx];\n\t\tlet foundSpace = dim * foundIncr / delta;\n\n\t\tif (foundSpace >= minSpace && intDigits + (foundIncr < 5 ? fixedDec.get(foundIncr) : 0) <= 17)\n\t\t\treturn [foundIncr, foundSpace];\n\t} while (++incrIdx < incrs.length);\n\n\treturn [0, 0];\n}\n\nfunction pxRatioFont(font) {\n\tlet fontSize, fontSizeCss;\n\tfont = font.replace(/(\\d+)px/, (m, p1) => (fontSize = round((fontSizeCss = +p1) * pxRatio)) + 'px');\n\treturn [font, fontSize, fontSizeCss];\n}\n\nfunction syncFontSize(axis) {\n\tif (axis.show) {\n\t\t[axis.font, axis.labelFont].forEach(f => {\n\t\t\tlet size = roundDec(f[2] * pxRatio, 1);\n\t\t\tf[0] = f[0].replace(/[0-9.]+px/, size + 'px');\n\t\t\tf[1] = size;\n\t\t});\n\t}\n}\n\nfunction uPlot(opts, data, then) {\n\tconst self = {\n\t\tmode: ifNull(opts.mode, 1),\n\t};\n\n\tconst mode = self.mode;\n\n\tfunction getHPos(val, scale, dim, off) {\n\t\tlet pct = scale.valToPct(val);\n\t\treturn off + dim * (scale.dir == -1 ? (1 - pct) : pct);\n\t}\n\n\tfunction getVPos(val, scale, dim, off) {\n\t\tlet pct = scale.valToPct(val);\n\t\treturn off + dim * (scale.dir == -1 ? pct : (1 - pct));\n\t}\n\n\tfunction getPos(val, scale, dim, off) {\n\t\treturn scale.ori == 0 ? getHPos(val, scale, dim, off) : getVPos(val, scale, dim, off);\n\t}\n\n\tself.valToPosH = getHPos;\n\tself.valToPosV = getVPos;\n\n\tlet ready = false;\n\tself.status = 0;\n\n\tconst root = self.root = placeDiv(UPLOT);\n\n\tif (opts.id != null)\n\t\troot.id = opts.id;\n\n\taddClass(root, opts.class);\n\n\tif (opts.title) {\n\t\tlet title = placeDiv(TITLE, root);\n\t\ttitle.textContent = opts.title;\n\t}\n\n\tconst can = placeTag(\"canvas\");\n\tconst ctx = self.ctx = can.getContext(\"2d\");\n\n\tconst wrap = placeDiv(WRAP, root);\n\n\ton(\"click\", wrap, e => {\n\t\tif (e.target === over) {\n\t\t\tlet didDrag = mouseLeft1 != mouseLeft0 || mouseTop1 != mouseTop0;\n\t\t\tdidDrag && drag.click(self, e);\n\t\t}\n\t}, true);\n\n\tconst under = self.under = placeDiv(UNDER, wrap);\n\twrap.appendChild(can);\n\tconst over = self.over = placeDiv(OVER, wrap);\n\n\topts = copy(opts);\n\n\tconst pxAlign = +ifNull(opts.pxAlign, 1);\n\n\tconst pxRound = pxRoundGen(pxAlign);\n\n\t(opts.plugins || []).forEach(p => {\n\t\tif (p.opts)\n\t\t\topts = p.opts(self, opts) || opts;\n\t});\n\n\tconst ms = opts.ms || 1e-3;\n\n\tconst series = self.series = mode == 1 ?\n\t\tsetDefaults(opts.series || [], xSeriesOpts, ySeriesOpts, false) :\n\t\tsetDefaults2(opts.series || [null], xySeriesOpts);\n\tconst axes = self.axes = setDefaults(opts.axes || [], xAxisOpts, yAxisOpts, true);\n\tconst scales = self.scales = {};\n\tconst bands = self.bands = opts.bands || [];\n\n\tbands.forEach(b => {\n\t\tb.fill = fnOrSelf(b.fill || null);\n\t\tb.dir = ifNull(b.dir, -1);\n\t});\n\n\tconst xScaleKey = mode == 2 ? series[1].facets[0].scale : series[0].scale;\n\n\tconst drawOrderMap = {\n\t\taxes: drawAxesGrid,\n\t\tseries: drawSeries,\n\t};\n\n\tconst drawOrder = (opts.drawOrder || [\"axes\", \"series\"]).map(key => drawOrderMap[key]);\n\n\tfunction initValToPct(sc) {\n\t\tconst getVal = (\n\t\t\tsc.distr == 3 ? val => log10(val > 0 ? val : sc.clamp(self, val, sc.min, sc.max, sc.key)) :\n\t\t\tsc.distr == 4 ? val => asinh(val, sc.asinh) :\n\t\t\tsc.distr == 100 ? val => sc.fwd(val) :\n\t\t\tval => val\n\t\t);\n\n\t\treturn val => {\n\t\t\tlet _val = getVal(val);\n\t\t\tlet { _min, _max } = sc;\n\t\t\tlet delta = _max - _min;\n\t\t\treturn (_val - _min) / delta;\n\t\t};\n\t}\n\n\tfunction initScale(scaleKey) {\n\t\tlet sc = scales[scaleKey];\n\n\t\tif (sc == null) {\n\t\t\tlet scaleOpts = (opts.scales || EMPTY_OBJ)[scaleKey] || EMPTY_OBJ;\n\n\t\t\tif (scaleOpts.from != null) {\n\t\t\t\t// ensure parent is initialized\n\t\t\t\tinitScale(scaleOpts.from);\n\t\t\t\t// dependent scales inherit\n\t\t\t\tlet sc = assign({}, scales[scaleOpts.from], scaleOpts, {key: scaleKey});\n\t\t\t\tsc.valToPct = initValToPct(sc);\n\t\t\t\tscales[scaleKey] = sc;\n\t\t\t}\n\t\t\telse {\n\t\t\t\tsc = scales[scaleKey] = assign({}, (scaleKey == xScaleKey ? xScaleOpts : yScaleOpts), scaleOpts);\n\n\t\t\t\tsc.key = scaleKey;\n\n\t\t\t\tlet isTime = sc.time;\n\n\t\t\t\tlet rn = sc.range;\n\n\t\t\t\tlet rangeIsArr = isArr(rn);\n\n\t\t\t\tif (scaleKey != xScaleKey || (mode == 2 && !isTime)) {\n\t\t\t\t\t// if range array has null limits, it should be auto\n\t\t\t\t\tif (rangeIsArr && (rn[0] == null || rn[1] == null)) {\n\t\t\t\t\t\trn = {\n\t\t\t\t\t\t\tmin: rn[0] == null ? autoRangePart : {\n\t\t\t\t\t\t\t\tmode: 1,\n\t\t\t\t\t\t\t\thard: rn[0],\n\t\t\t\t\t\t\t\tsoft: rn[0],\n\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\tmax: rn[1] == null ? autoRangePart : {\n\t\t\t\t\t\t\t\tmode: 1,\n\t\t\t\t\t\t\t\thard: rn[1],\n\t\t\t\t\t\t\t\tsoft: rn[1],\n\t\t\t\t\t\t\t},\n\t\t\t\t\t\t};\n\t\t\t\t\t\trangeIsArr = false;\n\t\t\t\t\t}\n\n\t\t\t\t\tif (!rangeIsArr && isObj(rn)) {\n\t\t\t\t\t\tlet cfg = rn;\n\t\t\t\t\t\t// this is similar to snapNumY\n\t\t\t\t\t\trn = (self, dataMin, dataMax) => dataMin == null ? nullNullTuple : rangeNum(dataMin, dataMax, cfg);\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tsc.range = fnOrSelf(rn || (isTime ? snapTimeX : scaleKey == xScaleKey ?\n\t\t\t\t\t(sc.distr == 3 ? snapLogX : sc.distr == 4 ? snapAsinhX : snapNumX) :\n\t\t\t\t\t(sc.distr == 3 ? snapLogY : sc.distr == 4 ? snapAsinhY : snapNumY)\n\t\t\t\t));\n\n\t\t\t\tsc.auto = fnOrSelf(rangeIsArr ? false : sc.auto);\n\n\t\t\t\tsc.clamp = fnOrSelf(sc.clamp || clampScale);\n\n\t\t\t\t// caches for expensive ops like asinh() & log()\n\t\t\t\tsc._min = sc._max = null;\n\n\t\t\t\tsc.valToPct = initValToPct(sc);\n\t\t\t}\n\t\t}\n\t}\n\n\tinitScale(\"x\");\n\tinitScale(\"y\");\n\n\t// TODO: init scales from facets in mode: 2\n\tif (mode == 1) {\n\t\tseries.forEach(s => {\n\t\t\tinitScale(s.scale);\n\t\t});\n\t}\n\n\taxes.forEach(a => {\n\t\tinitScale(a.scale);\n\t});\n\n\tfor (let k in opts.scales)\n\t\tinitScale(k);\n\n\tconst scaleX = scales[xScaleKey];\n\n\tconst xScaleDistr = scaleX.distr;\n\n\tlet valToPosX, valToPosY;\n\n\tif (scaleX.ori == 0) {\n\t\taddClass(root, ORI_HZ);\n\t\tvalToPosX = getHPos;\n\t\tvalToPosY = getVPos;\n\t\t/*\n\t\tupdOriDims = () => {\n\t\t\txDimCan = plotWid;\n\t\t\txOffCan = plotLft;\n\t\t\tyDimCan = plotHgt;\n\t\t\tyOffCan = plotTop;\n\n\t\t\txDimCss = plotWidCss;\n\t\t\txOffCss = plotLftCss;\n\t\t\tyDimCss = plotHgtCss;\n\t\t\tyOffCss = plotTopCss;\n\t\t};\n\t\t*/\n\t}\n\telse {\n\t\taddClass(root, ORI_VT);\n\t\tvalToPosX = getVPos;\n\t\tvalToPosY = getHPos;\n\t\t/*\n\t\tupdOriDims = () => {\n\t\t\txDimCan = plotHgt;\n\t\t\txOffCan = plotTop;\n\t\t\tyDimCan = plotWid;\n\t\t\tyOffCan = plotLft;\n\n\t\t\txDimCss = plotHgtCss;\n\t\t\txOffCss = plotTopCss;\n\t\t\tyDimCss = plotWidCss;\n\t\t\tyOffCss = plotLftCss;\n\t\t};\n\t\t*/\n\t}\n\n\tconst pendScales = {};\n\n\t// explicitly-set initial scales\n\tfor (let k in scales) {\n\t\tlet sc = scales[k];\n\n\t\tif (sc.min != null || sc.max != null) {\n\t\t\tpendScales[k] = {min: sc.min, max: sc.max};\n\t\t\tsc.min = sc.max = null;\n\t\t}\n\t}\n\n//\tself.tz = opts.tz || Intl.DateTimeFormat().resolvedOptions().timeZone;\n\tconst _tzDate = (opts.tzDate || (ts => new Date(round(ts / ms))));\n\tconst _fmtDate = (opts.fmtDate || fmtDate);\n\n\tconst _timeAxisSplits = (ms == 1 ? timeAxisSplitsMs(_tzDate) : timeAxisSplitsS(_tzDate));\n\tconst _timeAxisVals = timeAxisVals(_tzDate, timeAxisStamps((ms == 1 ? _timeAxisStampsMs : _timeAxisStampsS), _fmtDate));\n\tconst _timeSeriesVal = timeSeriesVal(_tzDate, timeSeriesStamp(_timeSeriesStamp, _fmtDate));\n\n\tconst activeIdxs = [];\n\n\tconst legend = (self.legend = assign({}, legendOpts, opts.legend));\n\tconst cursor = (self.cursor = assign({}, cursorOpts, {drag: {y: mode == 2}}, opts.cursor));\n\tconst showLegend = legend.show;\n\tconst showCursor = cursor.show;\n\tconst markers = legend.markers;\n\n\t{\n\t\tlegend.idxs = activeIdxs;\n\n\t\tmarkers.width = fnOrSelf(markers.width);\n\t\tmarkers.dash = fnOrSelf(markers.dash);\n\t\tmarkers.stroke = fnOrSelf(markers.stroke);\n\t\tmarkers.fill = fnOrSelf(markers.fill);\n\t}\n\n\tlet legendTable;\n\tlet legendHead;\n\tlet legendBody;\n\tlet legendRows = [];\n\tlet legendCells = [];\n\tlet legendCols;\n\tlet multiValLegend = false;\n\tlet NULL_LEGEND_VALUES = {};\n\n\tif (legend.live) {\n\t\tconst getMultiVals = series[1] ? series[1].values : null;\n\t\tmultiValLegend = getMultiVals != null;\n\t\tlegendCols = multiValLegend ? getMultiVals(self, 1, 0) : {_: 0};\n\n\t\tfor (let k in legendCols)\n\t\t\tNULL_LEGEND_VALUES[k] = LEGEND_DISP;\n\t}\n\n\tif (showLegend) {\n\t\tlegendTable = placeTag(\"table\", LEGEND, root);\n\t\tlegendBody = placeTag(\"tbody\", null, legendTable);\n\n\t\t// allows legend to be moved out of root\n\t\tlegend.mount(self, legendTable);\n\n\t\tif (multiValLegend) {\n\t\t\tlegendHead = placeTag(\"thead\", null, legendTable, legendBody);\n\n\t\t\tlet head = placeTag(\"tr\", null, legendHead);\n\t\t\tplaceTag(\"th\", null, head);\n\n\t\t\tfor (var key in legendCols)\n\t\t\t\tplaceTag(\"th\", LEGEND_LABEL, head).textContent = key;\n\t\t}\n\t\telse {\n\t\t\taddClass(legendTable, LEGEND_INLINE);\n\t\t\tlegend.live && addClass(legendTable, LEGEND_LIVE);\n\t\t}\n\t}\n\n\tconst son = {show: true};\n\tconst soff = {show: false};\n\n\tfunction initLegendRow(s, i) {\n\t\tif (i == 0 && (multiValLegend || !legend.live || mode == 2))\n\t\t\treturn nullNullTuple;\n\n\t\tlet cells = [];\n\n\t\tlet row = placeTag(\"tr\", LEGEND_SERIES, legendBody, legendBody.childNodes[i]);\n\n\t\taddClass(row, s.class);\n\n\t\tif (!s.show)\n\t\t\taddClass(row, OFF);\n\n\t\tlet label = placeTag(\"th\", null, row);\n\n\t\tif (markers.show) {\n\t\t\tlet indic = placeDiv(LEGEND_MARKER, label);\n\n\t\t\tif (i > 0) {\n\t\t\t\tlet width = markers.width(self, i);\n\n\t\t\t\tif (width)\n\t\t\t\t\tindic.style.border = width + \"px \" + markers.dash(self, i) + \" \" + markers.stroke(self, i);\n\n\t\t\t\tindic.style.background = markers.fill(self, i);\n\t\t\t}\n\t\t}\n\n\t\tlet text = placeDiv(LEGEND_LABEL, label);\n\n\t\tif (s.label instanceof HTMLElement)\n\t\t\ttext.appendChild(s.label);\n\t\telse\n\t\t\ttext.textContent = s.label;\n\n\t\tif (i > 0) {\n\t\t\tif (!markers.show)\n\t\t\t\ttext.style.color = s.width > 0 ? markers.stroke(self, i) : markers.fill(self, i);\n\n\t\t\tonMouse(\"click\", label, e => {\n\t\t\t\tif (cursor._lock)\n\t\t\t\t\treturn;\n\n\t\t\t\tsetCursorEvent(e);\n\n\t\t\t\tlet seriesIdx = series.indexOf(s);\n\n\t\t\t\tif ((e.ctrlKey || e.metaKey) != legend.isolate) {\n\t\t\t\t\t// if any other series is shown, isolate this one. else show all\n\t\t\t\t\tlet isolate = series.some((s, i) => i > 0 && i != seriesIdx && s.show);\n\n\t\t\t\t\tseries.forEach((s, i) => {\n\t\t\t\t\t\ti > 0 && setSeries(i, isolate ? (i == seriesIdx ? son : soff) : son, true, syncOpts.setSeries);\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t\tsetSeries(seriesIdx, {show: !s.show}, true, syncOpts.setSeries);\n\t\t\t}, false);\n\n\t\t\tif (cursorFocus) {\n\t\t\t\tonMouse(mouseenter, label, e => {\n\t\t\t\t\tif (cursor._lock)\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\tsetCursorEvent(e);\n\n\t\t\t\t\tsetSeries(series.indexOf(s), FOCUS_TRUE, true, syncOpts.setSeries);\n\t\t\t\t}, false);\n\t\t\t}\n\t\t}\n\n\t\tfor (var key in legendCols) {\n\t\t\tlet v = placeTag(\"td\", LEGEND_VALUE, row);\n\t\t\tv.textContent = \"--\";\n\t\t\tcells.push(v);\n\t\t}\n\n\t\treturn [row, cells];\n\t}\n\n\tconst mouseListeners = new Map();\n\n\tfunction onMouse(ev, targ, fn, onlyTarg = true) {\n\t\tconst targListeners = mouseListeners.get(targ) || {};\n\t\tconst listener = cursor.bind[ev](self, targ, fn, onlyTarg);\n\n\t\tif (listener) {\n\t\t\ton(ev, targ, targListeners[ev] = listener);\n\t\t\tmouseListeners.set(targ, targListeners);\n\t\t}\n\t}\n\n\tfunction offMouse(ev, targ, fn) {\n\t\tconst targListeners = mouseListeners.get(targ) || {};\n\n\t\tfor (let k in targListeners) {\n\t\t\tif (ev == null || k == ev) {\n\t\t\t\toff(k, targ, targListeners[k]);\n\t\t\t\tdelete targListeners[k];\n\t\t\t}\n\t\t}\n\n\t\tif (ev == null)\n\t\t\tmouseListeners.delete(targ);\n\t}\n\n\tlet fullWidCss = 0;\n\tlet fullHgtCss = 0;\n\n\tlet plotWidCss = 0;\n\tlet plotHgtCss = 0;\n\n\t// plot margins to account for axes\n\tlet plotLftCss = 0;\n\tlet plotTopCss = 0;\n\n\t// previous values for diffing\n\tlet _plotLftCss = plotLftCss;\n\tlet _plotTopCss = plotTopCss;\n\tlet _plotWidCss = plotWidCss;\n\tlet _plotHgtCss = plotHgtCss;\n\n\n\tlet plotLft = 0;\n\tlet plotTop = 0;\n\tlet plotWid = 0;\n\tlet plotHgt = 0;\n\n\tself.bbox = {};\n\n\tlet shouldSetScales = false;\n\tlet shouldSetSize = false;\n\tlet shouldConvergeSize = false;\n\tlet shouldSetCursor = false;\n\tlet shouldSetSelect = false;\n\tlet shouldSetLegend = false;\n\n\tfunction _setSize(width, height, force) {\n\t\tif (force || (width != self.width || height != self.height))\n\t\t\tcalcSize(width, height);\n\n\t\tresetYSeries(false);\n\n\t\tshouldConvergeSize = true;\n\t\tshouldSetSize = true;\n\n\t\tcommit();\n\t}\n\n\tfunction calcSize(width, height) {\n\t//\tlog(\"calcSize()\", arguments);\n\n\t\tself.width = fullWidCss = plotWidCss = width;\n\t\tself.height = fullHgtCss = plotHgtCss = height;\n\t\tplotLftCss = plotTopCss = 0;\n\n\t\tcalcPlotRect();\n\t\tcalcAxesRects();\n\n\t\tlet bb = self.bbox;\n\n\t\tplotLft = bb.left = incrRound(plotLftCss * pxRatio, 0.5);\n\t\tplotTop = bb.top = incrRound(plotTopCss * pxRatio, 0.5);\n\t\tplotWid = bb.width = incrRound(plotWidCss * pxRatio, 0.5);\n\t\tplotHgt = bb.height = incrRound(plotHgtCss * pxRatio, 0.5);\n\n\t//\tupdOriDims();\n\t}\n\n\t// ensures size calc convergence\n\tconst CYCLE_LIMIT = 3;\n\n\tfunction convergeSize() {\n\t\tlet converged = false;\n\n\t\tlet cycleNum = 0;\n\n\t\twhile (!converged) {\n\t\t\tcycleNum++;\n\n\t\t\tlet axesConverged = axesCalc(cycleNum);\n\t\t\tlet paddingConverged = paddingCalc(cycleNum);\n\n\t\t\tconverged = cycleNum == CYCLE_LIMIT || (axesConverged && paddingConverged);\n\n\t\t\tif (!converged) {\n\t\t\t\tcalcSize(self.width, self.height);\n\t\t\t\tshouldSetSize = true;\n\t\t\t}\n\t\t}\n\t}\n\n\tfunction setSize({width, height}) {\n\t\t_setSize(width, height);\n\t}\n\n\tself.setSize = setSize;\n\n\t// accumulate axis offsets, reduce canvas width\n\tfunction calcPlotRect() {\n\t\t// easements for edge labels\n\t\tlet hasTopAxis = false;\n\t\tlet hasBtmAxis = false;\n\t\tlet hasRgtAxis = false;\n\t\tlet hasLftAxis = false;\n\n\t\taxes.forEach((axis, i) => {\n\t\t\tif (axis.show && axis._show) {\n\t\t\t\tlet {side, _size} = axis;\n\t\t\t\tlet isVt = side % 2;\n\t\t\t\tlet labelSize = axis.label != null ? axis.labelSize : 0;\n\n\t\t\t\tlet fullSize = _size + labelSize;\n\n\t\t\t\tif (fullSize > 0) {\n\t\t\t\t\tif (isVt) {\n\t\t\t\t\t\tplotWidCss -= fullSize;\n\n\t\t\t\t\t\tif (side == 3) {\n\t\t\t\t\t\t\tplotLftCss += fullSize;\n\t\t\t\t\t\t\thasLftAxis = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse\n\t\t\t\t\t\t\thasRgtAxis = true;\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tplotHgtCss -= fullSize;\n\n\t\t\t\t\t\tif (side == 0) {\n\t\t\t\t\t\t\tplotTopCss += fullSize;\n\t\t\t\t\t\t\thasTopAxis = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse\n\t\t\t\t\t\t\thasBtmAxis = true;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\n\t\tsidesWithAxes[0] = hasTopAxis;\n\t\tsidesWithAxes[1] = hasRgtAxis;\n\t\tsidesWithAxes[2] = hasBtmAxis;\n\t\tsidesWithAxes[3] = hasLftAxis;\n\n\t\t// hz padding\n\t\tplotWidCss -= _padding[1] + _padding[3];\n\t\tplotLftCss += _padding[3];\n\n\t\t// vt padding\n\t\tplotHgtCss -= _padding[2] + _padding[0];\n\t\tplotTopCss += _padding[0];\n\t}\n\n\tfunction calcAxesRects() {\n\t\t// will accum +\n\t\tlet off1 = plotLftCss + plotWidCss;\n\t\tlet off2 = plotTopCss + plotHgtCss;\n\t\t// will accum -\n\t\tlet off3 = plotLftCss;\n\t\tlet off0 = plotTopCss;\n\n\t\tfunction incrOffset(side, size) {\n\t\t\tswitch (side) {\n\t\t\t\tcase 1: off1 += size; return off1 - size;\n\t\t\t\tcase 2: off2 += size; return off2 - size;\n\t\t\t\tcase 3: off3 -= size; return off3 + size;\n\t\t\t\tcase 0: off0 -= size; return off0 + size;\n\t\t\t}\n\t\t}\n\n\t\taxes.forEach((axis, i) => {\n\t\t\tif (axis.show && axis._show) {\n\t\t\t\tlet side = axis.side;\n\n\t\t\t\taxis._pos = incrOffset(side, axis._size);\n\n\t\t\t\tif (axis.label != null)\n\t\t\t\t\taxis._lpos = incrOffset(side, axis.labelSize);\n\t\t\t}\n\t\t});\n\t}\n\n\tif (cursor.dataIdx == null) {\n\t\tlet hov = cursor.hover;\n\n\t\tlet skip = hov.skip = new Set(hov.skip ?? []);\n\t\tskip.add(void 0); // alignment artifacts\n\t\tlet prox = hov.prox = fnOrSelf(hov.prox);\n\t\tlet bias = hov.bias ??= 0;\n\n\t\t// TODO: only scan between in-view idxs (i0, i1)\n\t\tcursor.dataIdx = (self, seriesIdx, cursorIdx, valAtPosX) => {\n\t\t\tif (seriesIdx == 0)\n\t\t\t\treturn cursorIdx;\n\n\t\t\tlet idx2 = cursorIdx;\n\n\t\t\tlet _prox = prox(self, seriesIdx, cursorIdx, valAtPosX) ?? inf;\n\t\t\tlet withProx = _prox >= 0 && _prox < inf;\n\t\t\tlet xDim = scaleX.ori == 0 ? plotWidCss : plotHgtCss;\n\t\t\tlet cursorLft = cursor.left;\n\n\t\t\tlet xValues = data[0];\n\t\t\tlet yValues = data[seriesIdx];\n\n\t\t\tif (skip.has(yValues[cursorIdx])) {\n\t\t\t\tidx2 = null;\n\n\t\t\t\tlet nonNullLft = null,\n\t\t\t\t\tnonNullRgt = null,\n\t\t\t\t\tj;\n\n\t\t\t\tif (bias == 0 || bias == -1) {\n\t\t\t\t\tj = cursorIdx;\n\t\t\t\t\twhile (nonNullLft == null && j-- > 0) {\n\t\t\t\t\t\tif (!skip.has(yValues[j]))\n\t\t\t\t\t\t\tnonNullLft = j;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tif (bias == 0 || bias == 1) {\n\t\t\t\t\tj = cursorIdx;\n\t\t\t\t\twhile (nonNullRgt == null && j++ < yValues.length) {\n\t\t\t\t\t\tif (!skip.has(yValues[j]))\n\t\t\t\t\t\t\tnonNullRgt = j;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tif (nonNullLft != null || nonNullRgt != null) {\n\t\t\t\t\tif (withProx) {\n\t\t\t\t\t\tlet lftPos = nonNullLft == null ? -Infinity : valToPosX(xValues[nonNullLft], scaleX, xDim, 0);\n\t\t\t\t\t\tlet rgtPos = nonNullRgt == null ? Infinity : valToPosX(xValues[nonNullRgt], scaleX, xDim, 0);\n\n\t\t\t\t\t\tlet lftDelta = cursorLft - lftPos;\n\t\t\t\t\t\tlet rgtDelta = rgtPos - cursorLft;\n\n\t\t\t\t\t\tif (lftDelta <= rgtDelta) {\n\t\t\t\t\t\t\tif (lftDelta <= _prox)\n\t\t\t\t\t\t\t\tidx2 = nonNullLft;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tif (rgtDelta <= _prox)\n\t\t\t\t\t\t\t\tidx2 = nonNullRgt;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tidx2 =\n\t\t\t\t\t\t\tnonNullRgt == null ? nonNullLft :\n\t\t\t\t\t\t\tnonNullLft == null ? nonNullRgt :\n\t\t\t\t\t\t\tcursorIdx - nonNullLft <= nonNullRgt - cursorIdx ? nonNullLft : nonNullRgt;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\telse if (withProx) {\n\t\t\t\tlet dist = abs(cursorLft - valToPosX(xValues[cursorIdx], scaleX, xDim, 0));\n\n\t\t\t\tif (dist > _prox)\n\t\t\t\t\tidx2 = null;\n\t\t\t}\n\n\t\t\treturn idx2;\n\t\t};\n\t}\n\n\tconst setCursorEvent = e => { cursor.event = e; };\n\n\tcursor.idxs = activeIdxs;\n\n\tcursor._lock = false;\n\n\tlet points = cursor.points;\n\n\tpoints.show = fnOrSelf(points.show);\n\tpoints.size = fnOrSelf(points.size);\n\tpoints.stroke = fnOrSelf(points.stroke);\n\tpoints.width = fnOrSelf(points.width);\n\tpoints.fill = fnOrSelf(points.fill);\n\n\tconst focus = self.focus = assign({}, opts.focus || {alpha: 0.3}, cursor.focus);\n\n\tconst cursorFocus = focus.prox >= 0;\n\tconst cursorOnePt = cursorFocus && points.one;\n\n\t// series-intersection markers\n\tlet cursorPts = [];\n\t// position caches in CSS pixels\n\tlet cursorPtsLft = [];\n\tlet cursorPtsTop = [];\n\n\tfunction initCursorPt(s, si) {\n\t\tlet pt = points.show(self, si);\n\n\t\tif (pt instanceof HTMLElement) {\n\t\t\taddClass(pt, CURSOR_PT);\n\t\t\taddClass(pt, s.class);\n\t\t\telTrans(pt, -10, -10, plotWidCss, plotHgtCss);\n\t\t\tover.insertBefore(pt, cursorPts[si]);\n\n\t\t\treturn pt;\n\t\t}\n\t}\n\n\tfunction initSeries(s, i) {\n\t\tif (mode == 1 || i > 0) {\n\t\t\tlet isTime = mode == 1 && scales[s.scale].time;\n\n\t\t\tlet sv = s.value;\n\t\t\ts.value = isTime ? (isStr(sv) ? timeSeriesVal(_tzDate, timeSeriesStamp(sv, _fmtDate)) : sv || _timeSeriesVal) : sv || numSeriesVal;\n\t\t\ts.label = s.label || (isTime ? timeSeriesLabel : numSeriesLabel);\n\t\t}\n\n\t\tif (cursorOnePt || i > 0) {\n\t\t\ts.width = s.width == null ? 1 : s.width;\n\t\t\ts.paths = s.paths || linearPath || retNull;\n\t\t\ts.fillTo = fnOrSelf(s.fillTo || seriesFillTo);\n\t\t\ts.pxAlign = +ifNull(s.pxAlign, pxAlign);\n\t\t\ts.pxRound = pxRoundGen(s.pxAlign);\n\n\t\t\ts.stroke = fnOrSelf(s.stroke || null);\n\t\t\ts.fill = fnOrSelf(s.fill || null);\n\t\t\ts._stroke = s._fill = s._paths = s._focus = null;\n\n\t\t\tlet _ptDia = ptDia(max(1, s.width), 1);\n\t\t\tlet points = s.points = assign({}, {\n\t\t\t\tsize: _ptDia,\n\t\t\t\twidth: max(1, _ptDia * .2),\n\t\t\t\tstroke: s.stroke,\n\t\t\t\tspace: _ptDia * 2,\n\t\t\t\tpaths: pointsPath,\n\t\t\t\t_stroke: null,\n\t\t\t\t_fill: null,\n\t\t\t}, s.points);\n\t\t\tpoints.show = fnOrSelf(points.show);\n\t\t\tpoints.filter = fnOrSelf(points.filter);\n\t\t\tpoints.fill = fnOrSelf(points.fill);\n\t\t\tpoints.stroke = fnOrSelf(points.stroke);\n\t\t\tpoints.paths = fnOrSelf(points.paths);\n\t\t\tpoints.pxAlign = s.pxAlign;\n\t\t}\n\n\t\tif (showLegend) {\n\t\t\tlet rowCells = initLegendRow(s, i);\n\t\t\tlegendRows.splice(i, 0, rowCells[0]);\n\t\t\tlegendCells.splice(i, 0, rowCells[1]);\n\t\t\tlegend.values.push(null);\t// NULL_LEGEND_VALS not yet avil here :(\n\t\t}\n\n\t\tif (showCursor) {\n\t\t\tactiveIdxs.splice(i, 0, null);\n\n\t\t\tlet pt = null;\n\n\t\t\tif (cursorOnePt) {\n\t\t\t\tif (i == 0)\n\t\t\t\t\tpt = initCursorPt(s, i);\n\t\t\t}\n\t\t\telse if (i > 0)\n\t\t\t\tpt = initCursorPt(s, i);\n\n\t\t\tcursorPts.splice(i, 0, pt);\n\t\t\tcursorPtsLft.splice(i, 0, 0);\n\t\t\tcursorPtsTop.splice(i, 0, 0);\n\t\t}\n\n\t\tfire(\"addSeries\", i);\n\t}\n\n\tfunction addSeries(opts, si) {\n\t\tsi = si == null ? series.length : si;\n\n\t\topts = mode == 1 ? setDefault(opts, si, xSeriesOpts, ySeriesOpts) : setDefault(opts, si, {}, xySeriesOpts);\n\n\t\tseries.splice(si, 0, opts);\n\t\tinitSeries(series[si], si);\n\t}\n\n\tself.addSeries = addSeries;\n\n\tfunction delSeries(i) {\n\t\tseries.splice(i, 1);\n\n\t\tif (showLegend) {\n\t\t\tlegend.values.splice(i, 1);\n\n\t\t\tlegendCells.splice(i, 1);\n\t\t\tlet tr = legendRows.splice(i, 1)[0];\n\t\t\toffMouse(null, tr.firstChild);\n\t\t\ttr.remove();\n\t\t}\n\n\t\tif (showCursor) {\n\t\t\tactiveIdxs.splice(i, 1);\n\t\t\tcursorPts.splice(i, 1)[0].remove();\n\t\t\tcursorPtsLft.splice(i, 1);\n\t\t\tcursorPtsTop.splice(i, 1);\n\t\t}\n\n\t\t// TODO: de-init no-longer-needed scales?\n\n\t\tfire(\"delSeries\", i);\n\t}\n\n\tself.delSeries = delSeries;\n\n\tconst sidesWithAxes = [false, false, false, false];\n\n\tfunction initAxis(axis, i) {\n\t\taxis._show = axis.show;\n\n\t\tif (axis.show) {\n\t\t\tlet isVt = axis.side % 2;\n\n\t\t\tlet sc = scales[axis.scale];\n\n\t\t\t// this can occur if all series specify non-default scales\n\t\t\tif (sc == null) {\n\t\t\t\taxis.scale = isVt ? series[1].scale : xScaleKey;\n\t\t\t\tsc = scales[axis.scale];\n\t\t\t}\n\n\t\t\t// also set defaults for incrs & values based on axis distr\n\t\t\tlet isTime = sc.time;\n\n\t\t\taxis.size = fnOrSelf(axis.size);\n\t\t\taxis.space = fnOrSelf(axis.space);\n\t\t\taxis.rotate = fnOrSelf(axis.rotate);\n\n\t\t\tif (isArr(axis.incrs)) {\n\t\t\t\taxis.incrs.forEach(incr => {\n\t\t\t\t\t!fixedDec.has(incr) && fixedDec.set(incr, guessDec(incr));\n\t\t\t\t});\n\t\t\t}\n\n\t\t\taxis.incrs = fnOrSelf(axis.incrs || ( sc.distr == 2 ? wholeIncrs : (isTime ? (ms == 1 ? timeIncrsMs : timeIncrsS) : numIncrs)));\n\t\t\taxis.splits = fnOrSelf(axis.splits || (isTime && sc.distr == 1 ? _timeAxisSplits : sc.distr == 3 ? logAxisSplits : sc.distr == 4 ? asinhAxisSplits : numAxisSplits));\n\n\t\t\taxis.stroke = fnOrSelf(axis.stroke);\n\t\t\taxis.grid.stroke = fnOrSelf(axis.grid.stroke);\n\t\t\taxis.ticks.stroke = fnOrSelf(axis.ticks.stroke);\n\t\t\taxis.border.stroke = fnOrSelf(axis.border.stroke);\n\n\t\t\tlet av = axis.values;\n\n\t\t\taxis.values = (\n\t\t\t\t// static array of tick values\n\t\t\t\tisArr(av) && !isArr(av[0]) ? fnOrSelf(av) :\n\t\t\t\t// temporal\n\t\t\t\tisTime ? (\n\t\t\t\t\t// config array of fmtDate string tpls\n\t\t\t\t\tisArr(av) ?\n\t\t\t\t\t\ttimeAxisVals(_tzDate, timeAxisStamps(av, _fmtDate)) :\n\t\t\t\t\t// fmtDate string tpl\n\t\t\t\t\tisStr(av) ?\n\t\t\t\t\t\ttimeAxisVal(_tzDate, av) :\n\t\t\t\t\tav || _timeAxisVals\n\t\t\t\t) : av || numAxisVals\n\t\t\t);\n\n\t\t\taxis.filter = fnOrSelf(axis.filter || ( sc.distr >= 3 && sc.log == 10 ? log10AxisValsFilt : sc.distr == 3 && sc.log == 2 ? log2AxisValsFilt : retArg1));\n\n\t\t\taxis.font = pxRatioFont(axis.font);\n\t\t\taxis.labelFont = pxRatioFont(axis.labelFont);\n\n\t\t\taxis._size = axis.size(self, null, i, 0);\n\n\t\t\taxis._space =\n\t\t\taxis._rotate =\n\t\t\taxis._incrs =\n\t\t\taxis._found =\t// foundIncrSpace\n\t\t\taxis._splits =\n\t\t\taxis._values = null;\n\n\t\t\tif (axis._size > 0) {\n\t\t\t\tsidesWithAxes[i] = true;\n\t\t\t\taxis._el = placeDiv(AXIS, wrap);\n\t\t\t}\n\n\t\t\t// debug\n\t\t//\taxis._el.style.background = \"#\" + Math.floor(Math.random()*16777215).toString(16) + '80';\n\t\t}\n\t}\n\n\tfunction autoPadSide(self, side, sidesWithAxes, cycleNum) {\n\t\tlet [hasTopAxis, hasRgtAxis, hasBtmAxis, hasLftAxis] = sidesWithAxes;\n\n\t\tlet ori = side % 2;\n\t\tlet size = 0;\n\n\t\tif (ori == 0 && (hasLftAxis || hasRgtAxis))\n\t\t\tsize = (side == 0 && !hasTopAxis || side == 2 && !hasBtmAxis ? round(xAxisOpts.size / 3) : 0);\n\t\tif (ori == 1 && (hasTopAxis || hasBtmAxis))\n\t\t\tsize = (side == 1 && !hasRgtAxis || side == 3 && !hasLftAxis ? round(yAxisOpts.size / 2) : 0);\n\n\t\treturn size;\n\t}\n\n\tconst padding = self.padding = (opts.padding || [autoPadSide,autoPadSide,autoPadSide,autoPadSide]).map(p => fnOrSelf(ifNull(p, autoPadSide)));\n\tconst _padding = self._padding = padding.map((p, i) => p(self, i, sidesWithAxes, 0));\n\n\tlet dataLen;\n\n\t// rendered data window\n\tlet i0 = null;\n\tlet i1 = null;\n\tconst idxs = mode == 1 ? series[0].idxs : null;\n\n\tlet data0 = null;\n\n\tlet viaAutoScaleX = false;\n\n\tfunction setData(_data, _resetScales) {\n\t\tdata = _data == null ? [] : _data;\n\n\t\tself.data = self._data = data;\n\n\t\tif (mode == 2) {\n\t\t\tdataLen = 0;\n\t\t\tfor (let i = 1; i < series.length; i++)\n\t\t\t\tdataLen += data[i][0].length;\n\t\t}\n\t\telse {\n\t\t\tif (data.length == 0)\n\t\t\t\tself.data = self._data = data = [[]];\n\n\t\t\tdata0 = data[0];\n\t\t\tdataLen = data0.length;\n\n\t\t\tlet scaleData = data;\n\n\t\t\tif (xScaleDistr == 2) {\n\t\t\t\tscaleData = data.slice();\n\n\t\t\t\tlet _data0 = scaleData[0] = Array(dataLen);\n\t\t\t\tfor (let i = 0; i < dataLen; i++)\n\t\t\t\t\t_data0[i] = i;\n\t\t\t}\n\n\t\t\tself._data = data = scaleData;\n\t\t}\n\n\t\tresetYSeries(true);\n\n\t\tfire(\"setData\");\n\n\t\t// forces x axis tick values to re-generate when neither x scale nor y scale changes\n\t\t// in ordinal mode, scale range is by index, so will not change if new data has same length, but tick values are from data\n\t\tif (xScaleDistr == 2) {\n\t\t\tshouldConvergeSize = true;\n\n\t\t\t/* or somewhat cheaper, and uglier:\n\t\t\tif (ready) {\n\t\t\t\t// logic extracted from axesCalc()\n\t\t\t\tlet i = 0;\n\t\t\t\tlet axis = axes[i];\n\t\t\t\tlet _splits = axis._splits.map(i => data0[i]);\n\t\t\t\tlet [_incr, _space] = axis._found;\n\t\t\t\tlet incr = data0[_splits[1]] - data0[_splits[0]];\n\t\t\t\taxis._values = axis.values(self, axis.filter(self, _splits, i, _space, incr), i, _space, incr);\n\t\t\t}\n\t\t\t*/\n\t\t}\n\n\t\tif (_resetScales !== false) {\n\t\t\tlet xsc = scaleX;\n\n\t\t\tif (xsc.auto(self, viaAutoScaleX))\n\t\t\t\tautoScaleX();\n\t\t\telse\n\t\t\t\t_setScale(xScaleKey, xsc.min, xsc.max);\n\n\t\t\tshouldSetCursor = shouldSetCursor || cursor.left >= 0;\n\t\t\tshouldSetLegend = true;\n\t\t\tcommit();\n\t\t}\n\t}\n\n\tself.setData = setData;\n\n\tfunction autoScaleX() {\n\t\tviaAutoScaleX = true;\n\n\t\tlet _min, _max;\n\n\t\tif (mode == 1) {\n\t\t\tif (dataLen > 0) {\n\t\t\t\ti0 = idxs[0] = 0;\n\t\t\t\ti1 = idxs[1] = dataLen - 1;\n\n\t\t\t\t_min = data[0][i0];\n\t\t\t\t_max = data[0][i1];\n\n\t\t\t\tif (xScaleDistr == 2) {\n\t\t\t\t\t_min = i0;\n\t\t\t\t\t_max = i1;\n\t\t\t\t}\n\t\t\t\telse if (_min == _max) {\n\t\t\t\t\tif (xScaleDistr == 3)\n\t\t\t\t\t\t[_min, _max] = rangeLog(_min, _min, scaleX.log, false);\n\t\t\t\t\telse if (xScaleDistr == 4)\n\t\t\t\t\t\t[_min, _max] = rangeAsinh(_min, _min, scaleX.log, false);\n\t\t\t\t\telse if (scaleX.time)\n\t\t\t\t\t\t_max = _min + round(86400 / ms);\n\t\t\t\t\telse\n\t\t\t\t\t\t[_min, _max] = rangeNum(_min, _max, rangePad, true);\n\t\t\t\t}\n\t\t\t}\n\t\t\telse {\n\t\t\t\ti0 = idxs[0] = _min = null;\n\t\t\t\ti1 = idxs[1] = _max = null;\n\t\t\t}\n\t\t}\n\n\t\t_setScale(xScaleKey, _min, _max);\n\t}\n\n\tlet ctxStroke, ctxFill, ctxWidth, ctxDash, ctxJoin, ctxCap, ctxFont, ctxAlign, ctxBaseline;\n\tlet ctxAlpha;\n\n\tfunction setCtxStyle(stroke, width, dash, cap, fill, join) {\n\t\tstroke ??= transparent;\n\t\tdash ??= EMPTY_ARR;\n\t\tcap ??= \"butt\"; // (\u203F|\u203F)\n\t\tfill ??= transparent;\n\t\tjoin ??= \"round\";\n\n\t\tif (stroke != ctxStroke)\n\t\t\tctx.strokeStyle = ctxStroke = stroke;\n\t\tif (fill != ctxFill)\n\t\t\tctx.fillStyle = ctxFill = fill;\n\t\tif (width != ctxWidth)\n\t\t\tctx.lineWidth = ctxWidth = width;\n\t\tif (join != ctxJoin)\n\t\t\tctx.lineJoin = ctxJoin = join;\n\t\tif (cap != ctxCap)\n\t\t\tctx.lineCap = ctxCap = cap;\n\t\tif (dash != ctxDash)\n\t\t\tctx.setLineDash(ctxDash = dash);\n\t}\n\n\tfunction setFontStyle(font, fill, align, baseline) {\n\t\tif (fill != ctxFill)\n\t\t\tctx.fillStyle = ctxFill = fill;\n\t\tif (font != ctxFont)\n\t\t\tctx.font = ctxFont = font;\n\t\tif (align != ctxAlign)\n\t\t\tctx.textAlign = ctxAlign = align;\n\t\tif (baseline != ctxBaseline)\n\t\t\tctx.textBaseline = ctxBaseline = baseline;\n\t}\n\n\tfunction accScale(wsc, psc, facet, data, sorted = 0) {\n\t\tif (data.length > 0 && wsc.auto(self, viaAutoScaleX) && (psc == null || psc.min == null)) {\n\t\t\tlet _i0 = ifNull(i0, 0);\n\t\t\tlet _i1 = ifNull(i1, data.length - 1);\n\n\t\t\t// only run getMinMax() for invalidated series data, else reuse\n\t\t\tlet minMax = facet.min == null ? getMinMax(data, _i0, _i1, sorted, wsc.distr == 3) : [facet.min, facet.max];\n\n\t\t\t// initial min/max\n\t\t\twsc.min = min(wsc.min, facet.min = minMax[0]);\n\t\t\twsc.max = max(wsc.max, facet.max = minMax[1]);\n\t\t}\n\t}\n\n\tconst AUTOSCALE = {min: null, max: null};\n\n\tfunction setScales() {\n\t//\tlog(\"setScales()\", arguments);\n\n\t\t// implicitly add auto scales, and unranged scales\n\t\tfor (let k in scales) {\n\t\t\tlet sc = scales[k];\n\n\t\t\tif (pendScales[k] == null &&\n\t\t\t\t(\n\t\t\t\t\t// scales that have never been set (on init)\n\t\t\t\t\tsc.min == null ||\n\t\t\t\t\t// or auto scales when the x scale was explicitly set\n\t\t\t\t\tpendScales[xScaleKey] != null && sc.auto(self, viaAutoScaleX)\n\t\t\t\t)\n\t\t\t) {\n\t\t\t\tpendScales[k] = AUTOSCALE;\n\t\t\t}\n\t\t}\n\n\t\t// implicitly add dependent scales\n\t\tfor (let k in scales) {\n\t\t\tlet sc = scales[k];\n\n\t\t\tif (pendScales[k] == null && sc.from != null && pendScales[sc.from] != null)\n\t\t\t\tpendScales[k] = AUTOSCALE;\n\t\t}\n\n\t\t// explicitly setting the x-scale invalidates everything (acts as redraw)\n\t\tif (pendScales[xScaleKey] != null)\n\t\t\tresetYSeries(true); // TODO: only reset series on auto scales?\n\n\t\tlet wipScales = {};\n\n\t\tfor (let k in pendScales) {\n\t\t\tlet psc = pendScales[k];\n\n\t\t\tif (psc != null) {\n\t\t\t\tlet wsc = wipScales[k] = copy(scales[k], fastIsObj);\n\n\t\t\t\tif (psc.min != null)\n\t\t\t\t\tassign(wsc, psc);\n\t\t\t\telse if (k != xScaleKey || mode == 2) {\n\t\t\t\t\tif (dataLen == 0 && wsc.from == null) {\n\t\t\t\t\t\tlet minMax = wsc.range(self, null, null, k);\n\t\t\t\t\t\twsc.min = minMax[0];\n\t\t\t\t\t\twsc.max = minMax[1];\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\twsc.min = inf;\n\t\t\t\t\t\twsc.max = -inf;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif (dataLen > 0) {\n\t\t\t// pre-range y-scales from y series' data values\n\t\t\tseries.forEach((s, i) => {\n\t\t\t\tif (mode == 1) {\n\t\t\t\t\tlet k = s.scale;\n\t\t\t\t\tlet psc = pendScales[k];\n\n\t\t\t\t\tif (psc == null)\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\tlet wsc = wipScales[k];\n\n\t\t\t\t\tif (i == 0) {\n\t\t\t\t\t\tlet minMax = wsc.range(self, wsc.min, wsc.max, k);\n\n\t\t\t\t\t\twsc.min = minMax[0];\n\t\t\t\t\t\twsc.max = minMax[1];\n\n\t\t\t\t\t\ti0 = closestIdx(wsc.min, data[0]);\n\t\t\t\t\t\ti1 = closestIdx(wsc.max, data[0]);\n\n\t\t\t\t\t\t// don't try to contract same or adjacent idxs\n\t\t\t\t\t\tif (i1 - i0 > 1) {\n\t\t\t\t\t\t\t// closest indices can be outside of view\n\t\t\t\t\t\t\tif (data[0][i0] < wsc.min)\n\t\t\t\t\t\t\t\ti0++;\n\t\t\t\t\t\t\tif (data[0][i1] > wsc.max)\n\t\t\t\t\t\t\t\ti1--;\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\ts.min = data0[i0];\n\t\t\t\t\t\ts.max = data0[i1];\n\t\t\t\t\t}\n\t\t\t\t\telse if (s.show && s.auto)\n\t\t\t\t\t\taccScale(wsc, psc, s, data[i], s.sorted);\n\n\t\t\t\t\ts.idxs[0] = i0;\n\t\t\t\t\ts.idxs[1] = i1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tif (i > 0) {\n\t\t\t\t\t\tif (s.show && s.auto) {\n\t\t\t\t\t\t\t// TODO: only handles, assumes and requires facets[0] / 'x' scale, and facets[1] / 'y' scale\n\t\t\t\t\t\t\tlet [ xFacet, yFacet ] = s.facets;\n\t\t\t\t\t\t\tlet xScaleKey = xFacet.scale;\n\t\t\t\t\t\t\tlet yScaleKey = yFacet.scale;\n\t\t\t\t\t\t\tlet [ xData, yData ] = data[i];\n\n\t\t\t\t\t\t\tlet wscx = wipScales[xScaleKey];\n\t\t\t\t\t\t\tlet wscy = wipScales[yScaleKey];\n\n\t\t\t\t\t\t\t// null can happen when only x is zoomed, but y has static range and doesnt get auto-added to pending\n\t\t\t\t\t\t\twscx != null && accScale(wscx, pendScales[xScaleKey], xFacet, xData, xFacet.sorted);\n\t\t\t\t\t\t\twscy != null && accScale(wscy, pendScales[yScaleKey], yFacet, yData, yFacet.sorted);\n\n\t\t\t\t\t\t\t// temp\n\t\t\t\t\t\t\ts.min = yFacet.min;\n\t\t\t\t\t\t\ts.max = yFacet.max;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\n\t\t\t// range independent scales\n\t\t\tfor (let k in wipScales) {\n\t\t\t\tlet wsc = wipScales[k];\n\t\t\t\tlet psc = pendScales[k];\n\n\t\t\t\tif (wsc.from == null && (psc == null || psc.min == null)) {\n\t\t\t\t\tlet minMax = wsc.range(\n\t\t\t\t\t\tself,\n\t\t\t\t\t\twsc.min == inf ? null : wsc.min,\n\t\t\t\t\t\twsc.max == -inf ? null : wsc.max,\n\t\t\t\t\t\tk\n\t\t\t\t\t);\n\t\t\t\t\twsc.min = minMax[0];\n\t\t\t\t\twsc.max = minMax[1];\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// range dependent scales\n\t\tfor (let k in wipScales) {\n\t\t\tlet wsc = wipScales[k];\n\n\t\t\tif (wsc.from != null) {\n\t\t\t\tlet base = wipScales[wsc.from];\n\n\t\t\t\tif (base.min == null)\n\t\t\t\t\twsc.min = wsc.max = null;\n\t\t\t\telse {\n\t\t\t\t\tlet minMax = wsc.range(self, base.min, base.max, k);\n\t\t\t\t\twsc.min = minMax[0];\n\t\t\t\t\twsc.max = minMax[1];\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tlet changed = {};\n\t\tlet anyChanged = false;\n\n\t\tfor (let k in wipScales) {\n\t\t\tlet wsc = wipScales[k];\n\t\t\tlet sc = scales[k];\n\n\t\t\tif (sc.min != wsc.min || sc.max != wsc.max) {\n\t\t\t\tsc.min = wsc.min;\n\t\t\t\tsc.max = wsc.max;\n\n\t\t\t\tlet distr = sc.distr;\n\n\t\t\t\tsc._min = distr == 3 ? log10(sc.min) : distr == 4 ? asinh(sc.min, sc.asinh) : distr == 100 ? sc.fwd(sc.min) : sc.min;\n\t\t\t\tsc._max = distr == 3 ? log10(sc.max) : distr == 4 ? asinh(sc.max, sc.asinh) : distr == 100 ? sc.fwd(sc.max) : sc.max;\n\n\t\t\t\tchanged[k] = anyChanged = true;\n\t\t\t}\n\t\t}\n\n\t\tif (anyChanged) {\n\t\t\t// invalidate paths of all series on changed scales\n\t\t\tseries.forEach((s, i) => {\n\t\t\t\tif (mode == 2) {\n\t\t\t\t\tif (i > 0 && changed.y)\n\t\t\t\t\t\ts._paths = null;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tif (changed[s.scale])\n\t\t\t\t\t\ts._paths = null;\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tfor (let k in changed) {\n\t\t\t\tshouldConvergeSize = true;\n\t\t\t\tfire(\"setScale\", k);\n\t\t\t}\n\n\t\t\tif (showCursor && cursor.left >= 0)\n\t\t\t\tshouldSetCursor = shouldSetLegend = true;\n\t\t}\n\n\t\tfor (let k in pendScales)\n\t\t\tpendScales[k] = null;\n\t}\n\n\t// grabs the nearest indices with y data outside of x-scale limits\n\tfunction getOuterIdxs(ydata) {\n\t\tlet _i0 = clamp(i0 - 1, 0, dataLen - 1);\n\t\tlet _i1 = clamp(i1 + 1, 0, dataLen - 1);\n\n\t\twhile (ydata[_i0] == null && _i0 > 0)\n\t\t\t_i0--;\n\n\t\twhile (ydata[_i1] == null && _i1 < dataLen - 1)\n\t\t\t_i1++;\n\n\t\treturn [_i0, _i1];\n\t}\n\n\tfunction drawSeries() {\n\t\tif (dataLen > 0) {\n\t\t\tlet shouldAlpha = series.some(s => s._focus) && ctxAlpha != focus.alpha;\n\n\t\t\tif (shouldAlpha)\n\t\t\t\tctx.globalAlpha = ctxAlpha = focus.alpha;\n\n\t\t\tseries.forEach((s, i) => {\n\t\t\t\tif (i > 0 && s.show) {\n\t\t\t\t\tcacheStrokeFill(i, false);\n\t\t\t\t\tcacheStrokeFill(i, true);\n\n\t\t\t\t\tif (s._paths == null) {\n\t\t\t\t\t\tlet _ctxAlpha = ctxAlpha;\n\n\t\t\t\t\t\tif (ctxAlpha != s.alpha)\n\t\t\t\t\t\t\tctx.globalAlpha = ctxAlpha = s.alpha;\n\n\t\t\t\t\t\tlet _idxs = mode == 2 ? [0, data[i][0].length - 1] : getOuterIdxs(data[i]);\n\t\t\t\t\t\ts._paths = s.paths(self, i, _idxs[0], _idxs[1]);\n\n\t\t\t\t\t\tif (ctxAlpha != _ctxAlpha)\n\t\t\t\t\t\t\tctx.globalAlpha = ctxAlpha = _ctxAlpha;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tseries.forEach((s, i) => {\n\t\t\t\tif (i > 0 && s.show) {\n\t\t\t\t\tlet _ctxAlpha = ctxAlpha;\n\n\t\t\t\t\tif (ctxAlpha != s.alpha)\n\t\t\t\t\t\tctx.globalAlpha = ctxAlpha = s.alpha;\n\n\t\t\t\t\ts._paths != null && drawPath(i, false);\n\n\t\t\t\t\t{\n\t\t\t\t\t\tlet _gaps = s._paths != null ? s._paths.gaps : null;\n\n\t\t\t\t\t\tlet show = s.points.show(self, i, i0, i1, _gaps);\n\t\t\t\t\t\tlet idxs = s.points.filter(self, i, show, _gaps);\n\n\t\t\t\t\t\tif (show || idxs) {\n\t\t\t\t\t\t\ts.points._paths = s.points.paths(self, i, i0, i1, idxs);\n\t\t\t\t\t\t\tdrawPath(i, true);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tif (ctxAlpha != _ctxAlpha)\n\t\t\t\t\t\tctx.globalAlpha = ctxAlpha = _ctxAlpha;\n\n\t\t\t\t\tfire(\"drawSeries\", i);\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tif (shouldAlpha)\n\t\t\t\tctx.globalAlpha = ctxAlpha = 1;\n\t\t}\n\t}\n\n\tfunction cacheStrokeFill(si, _points) {\n\t\tlet s = _points ? series[si].points : series[si];\n\n\t\ts._stroke = s.stroke(self, si);\n\t\ts._fill = s.fill(self, si);\n\t}\n\n\tfunction drawPath(si, _points) {\n\t\tlet s = _points ? series[si].points : series[si];\n\n\t\tlet {\n\t\t\tstroke,\n\t\t\tfill,\n\t\t\tclip: gapsClip,\n\t\t\tflags,\n\n\t\t\t_stroke: strokeStyle = s._stroke,\n\t\t\t_fill: fillStyle = s._fill,\n\t\t\t_width: width = s.width,\n\t\t} = s._paths;\n\n\t\twidth = roundDec(width * pxRatio, 3);\n\n\t\tlet boundsClip = null;\n\t\tlet offset = (width % 2) / 2;\n\n\t\tif (_points && fillStyle == null)\n\t\t\tfillStyle = width > 0 ? \"#fff\" : strokeStyle;\n\n\t\tlet _pxAlign = s.pxAlign == 1 && offset > 0;\n\n\t\t_pxAlign && ctx.translate(offset, offset);\n\n\t\tif (!_points) {\n\t\t\tlet lft = plotLft - width / 2,\n\t\t\t\ttop = plotTop - width / 2,\n\t\t\t\twid = plotWid + width,\n\t\t\t\thgt = plotHgt + width;\n\n\t\t\tboundsClip = new Path2D();\n\t\t\tboundsClip.rect(lft, top, wid, hgt);\n\t\t}\n\n\t\t// the points pathbuilder's gapsClip is its boundsClip, since points dont need gaps clipping, and bounds depend on point size\n\t\tif (_points)\n\t\t\tstrokeFill(strokeStyle, width, s.dash, s.cap, fillStyle, stroke, fill, flags, gapsClip);\n\t\telse\n\t\t\tfillStroke(si, strokeStyle, width, s.dash, s.cap, fillStyle, stroke, fill, flags, boundsClip, gapsClip);\n\n\t\t_pxAlign && ctx.translate(-offset, -offset);\n\t}\n\n\tfunction fillStroke(si, strokeStyle, lineWidth, lineDash, lineCap, fillStyle, strokePath, fillPath, flags, boundsClip, gapsClip) {\n\t\tlet didStrokeFill = false;\n\n\t\t// for all bands where this series is the top edge, create upwards clips using the bottom edges\n\t\t// and apply clips + fill with band fill or dfltFill\n\t\tflags != 0 && bands.forEach((b, bi) => {\n\t\t\t// isUpperEdge?\n\t\t\tif (b.series[0] == si) {\n\t\t\t\tlet lowerEdge = series[b.series[1]];\n\t\t\t\tlet lowerData = data[b.series[1]];\n\n\t\t\t\tlet bandClip = (lowerEdge._paths || EMPTY_OBJ).band;\n\n\t\t\t\tif (isArr(bandClip))\n\t\t\t\t\tbandClip = b.dir == 1 ? bandClip[0] : bandClip[1];\n\n\t\t\t\tlet gapsClip2;\n\n\t\t\t\tlet _fillStyle = null;\n\n\t\t\t\t// hasLowerEdge?\n\t\t\t\tif (lowerEdge.show && bandClip && hasData(lowerData, i0, i1)) {\n\t\t\t\t\t_fillStyle = b.fill(self, bi) || fillStyle;\n\t\t\t\t\tgapsClip2 = lowerEdge._paths.clip;\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t\tbandClip = null;\n\n\t\t\t\tstrokeFill(strokeStyle, lineWidth, lineDash, lineCap, _fillStyle, strokePath, fillPath, flags, boundsClip, gapsClip, gapsClip2, bandClip);\n\n\t\t\t\tdidStrokeFill = true;\n\t\t\t}\n\t\t});\n\n\t\tif (!didStrokeFill)\n\t\t\tstrokeFill(strokeStyle, lineWidth, lineDash, lineCap, fillStyle, strokePath, fillPath, flags, boundsClip, gapsClip);\n\t}\n\n\tconst CLIP_FILL_STROKE = BAND_CLIP_FILL | BAND_CLIP_STROKE;\n\n\tfunction strokeFill(strokeStyle, lineWidth, lineDash, lineCap, fillStyle, strokePath, fillPath, flags, boundsClip, gapsClip, gapsClip2, bandClip) {\n\t\tsetCtxStyle(strokeStyle, lineWidth, lineDash, lineCap, fillStyle);\n\n\t\tif (boundsClip || gapsClip || bandClip) {\n\t\t\tctx.save();\n\t\t\tboundsClip && ctx.clip(boundsClip);\n\t\t\tgapsClip && ctx.clip(gapsClip);\n\t\t}\n\n\t\tif (bandClip) {\n\t\t\tif ((flags & CLIP_FILL_STROKE) == CLIP_FILL_STROKE) {\n\t\t\t\tctx.clip(bandClip);\n\t\t\t\tgapsClip2 && ctx.clip(gapsClip2);\n\t\t\t\tdoFill(fillStyle, fillPath);\n\t\t\t\tdoStroke(strokeStyle, strokePath, lineWidth);\n\t\t\t}\n\t\t\telse if (flags & BAND_CLIP_STROKE) {\n\t\t\t\tdoFill(fillStyle, fillPath);\n\t\t\t\tctx.clip(bandClip);\n\t\t\t\tdoStroke(strokeStyle, strokePath, lineWidth);\n\t\t\t}\n\t\t\telse if (flags & BAND_CLIP_FILL) {\n\t\t\t\tctx.save();\n\t\t\t\tctx.clip(bandClip);\n\t\t\t\tgapsClip2 && ctx.clip(gapsClip2);\n\t\t\t\tdoFill(fillStyle, fillPath);\n\t\t\t\tctx.restore();\n\t\t\t\tdoStroke(strokeStyle, strokePath, lineWidth);\n\t\t\t}\n\t\t}\n\t\telse {\n\t\t\tdoFill(fillStyle, fillPath);\n\t\t\tdoStroke(strokeStyle, strokePath, lineWidth);\n\t\t}\n\n\t\tif (boundsClip || gapsClip || bandClip)\n\t\t\tctx.restore();\n\t}\n\n\tfunction doStroke(strokeStyle, strokePath, lineWidth) {\n\t\tif (lineWidth > 0) {\n\t\t\tif (strokePath instanceof Map) {\n\t\t\t\tstrokePath.forEach((strokePath, strokeStyle) => {\n\t\t\t\t\tctx.strokeStyle = ctxStroke = strokeStyle;\n\t\t\t\t\tctx.stroke(strokePath);\n\t\t\t\t});\n\t\t\t}\n\t\t\telse\n\t\t\t\tstrokePath != null && strokeStyle && ctx.stroke(strokePath);\n\t\t}\n\t}\n\n\tfunction doFill(fillStyle, fillPath) {\n\t\tif (fillPath instanceof Map) {\n\t\t\tfillPath.forEach((fillPath, fillStyle) => {\n\t\t\t\tctx.fillStyle = ctxFill = fillStyle;\n\t\t\t\tctx.fill(fillPath);\n\t\t\t});\n\t\t}\n\t\telse\n\t\t\tfillPath != null && fillStyle && ctx.fill(fillPath);\n\t}\n\n\tfunction getIncrSpace(axisIdx, min, max, fullDim) {\n\t\tlet axis = axes[axisIdx];\n\n\t\tlet incrSpace;\n\n\t\tif (fullDim <= 0)\n\t\t\tincrSpace = [0, 0];\n\t\telse {\n\t\t\tlet minSpace = axis._space = axis.space(self, axisIdx, min, max, fullDim);\n\t\t\tlet incrs = axis._incrs = axis.incrs(self, axisIdx, min, max, fullDim, minSpace);\n\t\t\tincrSpace = findIncr(min, max, incrs, fullDim, minSpace);\n\t\t}\n\n\t\treturn (axis._found = incrSpace);\n\t}\n\n\tfunction drawOrthoLines(offs, filts, ori, side, pos0, len, width, stroke, dash, cap) {\n\t\tlet offset = (width % 2) / 2;\n\n\t\tpxAlign == 1 && ctx.translate(offset, offset);\n\n\t\tsetCtxStyle(stroke, width, dash, cap, stroke);\n\n\t\tctx.beginPath();\n\n\t\tlet x0, y0, x1, y1, pos1 = pos0 + (side == 0 || side == 3 ? -len : len);\n\n\t\tif (ori == 0) {\n\t\t\ty0 = pos0;\n\t\t\ty1 = pos1;\n\t\t}\n\t\telse {\n\t\t\tx0 = pos0;\n\t\t\tx1 = pos1;\n\t\t}\n\n\t\tfor (let i = 0; i < offs.length; i++) {\n\t\t\tif (filts[i] != null) {\n\t\t\t\tif (ori == 0)\n\t\t\t\t\tx0 = x1 = offs[i];\n\t\t\t\telse\n\t\t\t\t\ty0 = y1 = offs[i];\n\n\t\t\t\tctx.moveTo(x0, y0);\n\t\t\t\tctx.lineTo(x1, y1);\n\t\t\t}\n\t\t}\n\n\t\tctx.stroke();\n\n\t\tpxAlign == 1 && ctx.translate(-offset, -offset);\n\t}\n\n\tfunction axesCalc(cycleNum) {\n\t//\tlog(\"axesCalc()\", arguments);\n\n\t\tlet converged = true;\n\n\t\taxes.forEach((axis, i) => {\n\t\t\tif (!axis.show)\n\t\t\t\treturn;\n\n\t\t\tlet scale = scales[axis.scale];\n\n\t\t\tif (scale.min == null) {\n\t\t\t\tif (axis._show) {\n\t\t\t\t\tconverged = false;\n\t\t\t\t\taxis._show = false;\n\t\t\t\t\tresetYSeries(false);\n\t\t\t\t}\n\t\t\t\treturn;\n\t\t\t}\n\t\t\telse {\n\t\t\t\tif (!axis._show) {\n\t\t\t\t\tconverged = false;\n\t\t\t\t\taxis._show = true;\n\t\t\t\t\tresetYSeries(false);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tlet side = axis.side;\n\t\t\tlet ori = side % 2;\n\n\t\t\tlet {min, max} = scale;\t\t// \t\t// should this toggle them ._show = false\n\n\t\t\tlet [_incr, _space] = getIncrSpace(i, min, max, ori == 0 ? plotWidCss : plotHgtCss);\n\n\t\t\tif (_space == 0)\n\t\t\t\treturn;\n\n\t\t\t// if we're using index positions, force first tick to match passed index\n\t\t\tlet forceMin = scale.distr == 2;\n\n\t\t\tlet _splits = axis._splits = axis.splits(self, i, min, max, _incr, _space, forceMin);\n\n\t\t\t// tick labels\n\t\t\t// BOO this assumes a specific data/series\n\t\t\tlet splits = scale.distr == 2 ? _splits.map(i => data0[i]) : _splits;\n\t\t\tlet incr = scale.distr == 2 ? data0[_splits[1]] - data0[_splits[0]] : _incr;\n\n\t\t\tlet values = axis._values = axis.values(self, axis.filter(self, splits, i, _space, incr), i, _space, incr);\n\n\t\t\t// rotating of labels only supported on bottom x axis\n\t\t\taxis._rotate = side == 2 ? axis.rotate(self, values, i, _space) : 0;\n\n\t\t\tlet oldSize = axis._size;\n\n\t\t\taxis._size = ceil(axis.size(self, values, i, cycleNum));\n\n\t\t\tif (oldSize != null && axis._size != oldSize)\t\t\t// ready && ?\n\t\t\t\tconverged = false;\n\t\t});\n\n\t\treturn converged;\n\t}\n\n\tfunction paddingCalc(cycleNum) {\n\t\tlet converged = true;\n\n\t\tpadding.forEach((p, i) => {\n\t\t\tlet _p = p(self, i, sidesWithAxes, cycleNum);\n\n\t\t\tif (_p != _padding[i])\n\t\t\t\tconverged = false;\n\n\t\t\t_padding[i] = _p;\n\t\t});\n\n\t\treturn converged;\n\t}\n\n\tfunction drawAxesGrid() {\n\t\tfor (let i = 0; i < axes.length; i++) {\n\t\t\tlet axis = axes[i];\n\n\t\t\tif (!axis.show || !axis._show)\n\t\t\t\tcontinue;\n\n\t\t\tlet side = axis.side;\n\t\t\tlet ori = side % 2;\n\n\t\t\tlet x, y;\n\n\t\t\tlet fillStyle = axis.stroke(self, i);\n\n\t\t\tlet shiftDir = side == 0 || side == 3 ? -1 : 1;\n\n\t\t\tlet [_incr, _space] = axis._found;\n\n\t\t\t// axis label\n\t\t\tif (axis.label != null) {\n\t\t\t\tlet shiftAmt = axis.labelGap * shiftDir;\n\t\t\t\tlet baseLpos = round((axis._lpos + shiftAmt) * pxRatio);\n\n\t\t\t\tsetFontStyle(axis.labelFont[0], fillStyle, \"center\", side == 2 ? TOP : BOTTOM);\n\n\t\t\t\tctx.save();\n\n\t\t\t\tif (ori == 1) {\n\t\t\t\t\tx = y = 0;\n\n\t\t\t\t\tctx.translate(\n\t\t\t\t\t\tbaseLpos,\n\t\t\t\t\t\tround(plotTop + plotHgt / 2),\n\t\t\t\t\t);\n\t\t\t\t\tctx.rotate((side == 3 ? -PI : PI) / 2);\n\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tx = round(plotLft + plotWid / 2);\n\t\t\t\t\ty = baseLpos;\n\t\t\t\t}\n\n\t\t\t\tlet _label = isFn(axis.label) ? axis.label(self, i, _incr, _space) : axis.label;\n\n\t\t\t\tctx.fillText(_label, x, y);\n\n\t\t\t\tctx.restore();\n\t\t\t}\n\n\t\t\tif (_space == 0)\n\t\t\t\tcontinue;\n\n\t\t\tlet scale = scales[axis.scale];\n\n\t\t\tlet plotDim = ori == 0 ? plotWid : plotHgt;\n\t\t\tlet plotOff = ori == 0 ? plotLft : plotTop;\n\n\t\t\tlet _splits = axis._splits;\n\n\t\t\t// tick labels\n\t\t\t// BOO this assumes a specific data/series\n\t\t\tlet splits = scale.distr == 2 ? _splits.map(i => data0[i]) : _splits;\n\t\t\tlet incr = scale.distr == 2 ? data0[_splits[1]] - data0[_splits[0]] : _incr;\n\n\t\t\tlet ticks = axis.ticks;\n\t\t\tlet border = axis.border;\n\t\t\tlet _tickSize = ticks.show ? ticks.size : 0;\n\t\t\tlet tickSize = round(_tickSize * pxRatio);\n\t\t\tlet axisGap = round((axis.alignTo == 2 ? axis._size - _tickSize - axis.gap : axis.gap) * pxRatio);\n\n\t\t\t// rotating of labels only supported on bottom x axis\n\t\t\tlet angle = axis._rotate * -PI/180;\n\n\t\t\tlet basePos = pxRound(axis._pos * pxRatio);\n\t\t\tlet shiftAmt = (tickSize + axisGap) * shiftDir;\n\t\t\tlet finalPos = basePos + shiftAmt;\n\t\t\t y = ori == 0 ? finalPos : 0;\n\t\t\t x = ori == 1 ? finalPos : 0;\n\n\t\t\tlet font = axis.font[0];\n\t\t\tlet textAlign = axis.align == 1 ? LEFT :\n\t\t\t axis.align == 2 ? RIGHT :\n\t\t\t angle > 0 ? LEFT :\n\t\t\t angle < 0 ? RIGHT :\n\t\t\t ori == 0 ? \"center\" : side == 3 ? RIGHT : LEFT;\n\t\t\tlet textBaseline = angle ||\n\t\t\t ori == 1 ? \"middle\" : side == 2 ? TOP : BOTTOM;\n\n\t\t\tsetFontStyle(font, fillStyle, textAlign, textBaseline);\n\n\t\t\tlet lineHeight = axis.font[1] * axis.lineGap;\n\n\t\t\tlet canOffs = _splits.map(val => pxRound(getPos(val, scale, plotDim, plotOff)));\n\n\t\t\tlet _values = axis._values;\n\n\t\t\tfor (let i = 0; i < _values.length; i++) {\n\t\t\t\tlet val = _values[i];\n\n\t\t\t\tif (val != null) {\n\t\t\t\t\tif (ori == 0)\n\t\t\t\t\t\tx = canOffs[i];\n\t\t\t\t\telse\n\t\t\t\t\t\ty = canOffs[i];\n\n\t\t\t\t\tval = \"\" + val;\n\n\t\t\t\t\tlet _parts = val.indexOf(\"\\n\") == -1 ? [val] : val.split(/\\n/gm);\n\n\t\t\t\t\tfor (let j = 0; j < _parts.length; j++) {\n\t\t\t\t\t\tlet text = _parts[j];\n\n\t\t\t\t\t\tif (angle) {\n\t\t\t\t\t\t\tctx.save();\n\t\t\t\t\t\t\tctx.translate(x, y + j * lineHeight); // can this be replaced with position math?\n\t\t\t\t\t\t\tctx.rotate(angle); // can this be done once?\n\t\t\t\t\t\t\tctx.fillText(text, 0, 0);\n\t\t\t\t\t\t\tctx.restore();\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse\n\t\t\t\t\t\t\tctx.fillText(text, x, y + j * lineHeight);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// ticks\n\t\t\tif (ticks.show) {\n\t\t\t\tdrawOrthoLines(\n\t\t\t\t\tcanOffs,\n\t\t\t\t\tticks.filter(self, splits, i, _space, incr),\n\t\t\t\t\tori,\n\t\t\t\t\tside,\n\t\t\t\t\tbasePos,\n\t\t\t\t\ttickSize,\n\t\t\t\t\troundDec(ticks.width * pxRatio, 3),\n\t\t\t\t\tticks.stroke(self, i),\n\t\t\t\t\tticks.dash,\n\t\t\t\t\tticks.cap,\n\t\t\t\t);\n\t\t\t}\n\n\t\t\t// grid\n\t\t\tlet grid = axis.grid;\n\n\t\t\tif (grid.show) {\n\t\t\t\tdrawOrthoLines(\n\t\t\t\t\tcanOffs,\n\t\t\t\t\tgrid.filter(self, splits, i, _space, incr),\n\t\t\t\t\tori,\n\t\t\t\t\tori == 0 ? 2 : 1,\n\t\t\t\t\tori == 0 ? plotTop : plotLft,\n\t\t\t\t\tori == 0 ? plotHgt : plotWid,\n\t\t\t\t\troundDec(grid.width * pxRatio, 3),\n\t\t\t\t\tgrid.stroke(self, i),\n\t\t\t\t\tgrid.dash,\n\t\t\t\t\tgrid.cap,\n\t\t\t\t);\n\t\t\t}\n\n\t\t\tif (border.show) {\n\t\t\t\tdrawOrthoLines(\n\t\t\t\t\t[basePos],\n\t\t\t\t\t[1],\n\t\t\t\t\tori == 0 ? 1 : 0,\n\t\t\t\t\tori == 0 ? 1 : 2,\n\t\t\t\t\tori == 1 ? plotTop : plotLft,\n\t\t\t\t\tori == 1 ? plotHgt : plotWid,\n\t\t\t\t\troundDec(border.width * pxRatio, 3),\n\t\t\t\t\tborder.stroke(self, i),\n\t\t\t\t\tborder.dash,\n\t\t\t\t\tborder.cap,\n\t\t\t\t);\n\t\t\t}\n\t\t}\n\n\t\tfire(\"drawAxes\");\n\t}\n\n\tfunction resetYSeries(minMax) {\n\t//\tlog(\"resetYSeries()\", arguments);\n\n\t\tseries.forEach((s, i) => {\n\t\t\tif (i > 0) {\n\t\t\t\ts._paths = null;\n\n\t\t\t\tif (minMax) {\n\t\t\t\t\tif (mode == 1) {\n\t\t\t\t\t\ts.min = null;\n\t\t\t\t\t\ts.max = null;\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\ts.facets.forEach(f => {\n\t\t\t\t\t\t\tf.min = null;\n\t\t\t\t\t\t\tf.max = null;\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\n\tlet queuedCommit = false;\n\tlet deferHooks = false;\n\tlet hooksQueue = [];\n\n\tfunction flushHooks() {\n\t\tdeferHooks = false;\n\n\t\tfor (let i = 0; i < hooksQueue.length; i++)\n\t\t\tfire(...hooksQueue[i]);\n\n\t\thooksQueue.length = 0;\n\t}\n\n\tfunction commit() {\n\t\tif (!queuedCommit) {\n\t\t\tmicroTask(_commit);\n\t\t\tqueuedCommit = true;\n\t\t}\n\t}\n\n\t// manual batching (aka immediate mode), skips microtask queue\n\tfunction batch(fn, _deferHooks = false) {\n\t\tqueuedCommit = true;\n\t\tdeferHooks = _deferHooks;\n\n\t\tfn(self);\n\t\t_commit();\n\n\t\tif (_deferHooks && hooksQueue.length > 0)\n\t\t\tqueueMicrotask(flushHooks);\n\t}\n\n\tself.batch = batch;\n\n\tfunction _commit() {\n\t//\tlog(\"_commit()\", arguments);\n\n\t\tif (shouldSetScales) {\n\t\t\tsetScales();\n\t\t\tshouldSetScales = false;\n\t\t}\n\n\t\tif (shouldConvergeSize) {\n\t\t\tconvergeSize();\n\t\t\tshouldConvergeSize = false;\n\t\t}\n\n\t\tif (shouldSetSize) {\n\t\t\tsetStylePx(under, LEFT, plotLftCss);\n\t\t\tsetStylePx(under, TOP, plotTopCss);\n\t\t\tsetStylePx(under, WIDTH, plotWidCss);\n\t\t\tsetStylePx(under, HEIGHT, plotHgtCss);\n\n\t\t\tsetStylePx(over, LEFT, plotLftCss);\n\t\t\tsetStylePx(over, TOP, plotTopCss);\n\t\t\tsetStylePx(over, WIDTH, plotWidCss);\n\t\t\tsetStylePx(over, HEIGHT, plotHgtCss);\n\n\t\t\tsetStylePx(wrap, WIDTH, fullWidCss);\n\t\t\tsetStylePx(wrap, HEIGHT, fullHgtCss);\n\n\t\t\t// NOTE: mutating this during print preview in Chrome forces transparent\n\t\t\t// canvas pixels to white, even when followed up with clearRect() below\n\t\t\tcan.width = round(fullWidCss * pxRatio);\n\t\t\tcan.height = round(fullHgtCss * pxRatio);\n\n\t\t\taxes.forEach(({ _el, _show, _size, _pos, side }) => {\n\t\t\t\tif (_el != null) {\n\t\t\t\t\tif (_show) {\n\t\t\t\t\t\tlet posOffset = (side === 3 || side === 0 ? _size : 0);\n\t\t\t\t\t\tlet isVt = side % 2 == 1;\n\n\t\t\t\t\t\tsetStylePx(_el, isVt ? \"left\" : \"top\", _pos - posOffset);\n\t\t\t\t\t\tsetStylePx(_el, isVt ? \"width\" : \"height\", _size);\n\t\t\t\t\t\tsetStylePx(_el, isVt ? \"top\" : \"left\", isVt ? plotTopCss : plotLftCss);\n\t\t\t\t\t\tsetStylePx(_el, isVt ? \"height\" : \"width\", isVt ? plotHgtCss : plotWidCss);\n\n\t\t\t\t\t\tremClass(_el, OFF);\n\t\t\t\t\t}\n\t\t\t\t\telse\n\t\t\t\t\t\taddClass(_el, OFF);\n\t\t\t\t}\n\t\t\t});\n\n\t\t\t// invalidate ctx style cache\n\t\t\tctxStroke = ctxFill = ctxWidth = ctxJoin = ctxCap = ctxFont = ctxAlign = ctxBaseline = ctxDash = null;\n\t\t\tctxAlpha = 1;\n\n\t\t\tsyncRect(true);\n\n\t\t\tif (\n\t\t\t\tplotLftCss != _plotLftCss ||\n\t\t\t\tplotTopCss != _plotTopCss ||\n\t\t\t\tplotWidCss != _plotWidCss ||\n\t\t\t\tplotHgtCss != _plotHgtCss\n\t\t\t) {\n\t\t\t\tresetYSeries(false);\n\n\t\t\t\tlet pctWid = plotWidCss / _plotWidCss;\n\t\t\t\tlet pctHgt = plotHgtCss / _plotHgtCss;\n\n\t\t\t\tif (showCursor && !shouldSetCursor && cursor.left >= 0) {\n\t\t\t\t\tcursor.left *= pctWid;\n\t\t\t\t\tcursor.top *= pctHgt;\n\n\t\t\t\t\tvCursor && elTrans(vCursor, round(cursor.left), 0, plotWidCss, plotHgtCss);\n\t\t\t\t\thCursor && elTrans(hCursor, 0, round(cursor.top), plotWidCss, plotHgtCss);\n\n\t\t\t\t\tfor (let i = 0; i < cursorPts.length; i++) {\n\t\t\t\t\t\tlet pt = cursorPts[i];\n\n\t\t\t\t\t\tif (pt != null) {\n\t\t\t\t\t\t\tcursorPtsLft[i] *= pctWid;\n\t\t\t\t\t\t\tcursorPtsTop[i] *= pctHgt;\n\t\t\t\t\t\t\telTrans(pt, ceil(cursorPtsLft[i]), ceil(cursorPtsTop[i]), plotWidCss, plotHgtCss);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tif (select.show && !shouldSetSelect && select.left >= 0 && select.width > 0) {\n\t\t\t\t\tselect.left *= pctWid;\n\t\t\t\t\tselect.width *= pctWid;\n\t\t\t\t\tselect.top *= pctHgt;\n\t\t\t\t\tselect.height *= pctHgt;\n\n\t\t\t\t\tfor (let prop in _hideProps)\n\t\t\t\t\t\tsetStylePx(selectDiv, prop, select[prop]);\n\t\t\t\t}\n\n\t\t\t\t_plotLftCss = plotLftCss;\n\t\t\t\t_plotTopCss = plotTopCss;\n\t\t\t\t_plotWidCss = plotWidCss;\n\t\t\t\t_plotHgtCss = plotHgtCss;\n\t\t\t}\n\n\t\t\tfire(\"setSize\");\n\n\t\t\tshouldSetSize = false;\n\t\t}\n\n\t\tif (fullWidCss > 0 && fullHgtCss > 0) {\n\t\t\tctx.clearRect(0, 0, can.width, can.height);\n\t\t\tfire(\"drawClear\");\n\t\t\tdrawOrder.forEach(fn => fn());\n\t\t\tfire(\"draw\");\n\t\t}\n\n\t\tif (select.show && shouldSetSelect) {\n\t\t\tsetSelect(select);\n\t\t\tshouldSetSelect = false;\n\t\t}\n\n\t\tif (showCursor && shouldSetCursor) {\n\t\t\tupdateCursor(null, true, false);\n\t\t\tshouldSetCursor = false;\n\t\t}\n\n\t\tif (legend.show && legend.live && shouldSetLegend) {\n\t\t\tsetLegend();\n\t\t\tshouldSetLegend = false; // redundant currently\n\t\t}\n\n\t\tif (!ready) {\n\t\t\tready = true;\n\t\t\tself.status = 1;\n\n\t\t\tfire(\"ready\");\n\t\t}\n\n\t\tviaAutoScaleX = false;\n\n\t\tqueuedCommit = false;\n\t}\n\n\tself.redraw = (rebuildPaths, recalcAxes) => {\n\t\tshouldConvergeSize = recalcAxes || false;\n\n\t\tif (rebuildPaths !== false)\n\t\t\t_setScale(xScaleKey, scaleX.min, scaleX.max);\n\t\telse\n\t\t\tcommit();\n\t};\n\n\t// redraw() => setScale('x', scales.x.min, scales.x.max);\n\n\t// explicit, never re-ranged (is this actually true? for x and y)\n\tfunction setScale(key, opts) {\n\t\tlet sc = scales[key];\n\n\t\tif (sc.from == null) {\n\t\t\tif (dataLen == 0) {\n\t\t\t\tlet minMax = sc.range(self, opts.min, opts.max, key);\n\t\t\t\topts.min = minMax[0];\n\t\t\t\topts.max = minMax[1];\n\t\t\t}\n\n\t\t\tif (opts.min > opts.max) {\n\t\t\t\tlet _min = opts.min;\n\t\t\t\topts.min = opts.max;\n\t\t\t\topts.max = _min;\n\t\t\t}\n\n\t\t\tif (dataLen > 1 && opts.min != null && opts.max != null && opts.max - opts.min < 1e-16)\n\t\t\t\treturn;\n\n\t\t\tif (key == xScaleKey) {\n\t\t\t\tif (sc.distr == 2 && dataLen > 0) {\n\t\t\t\t\topts.min = closestIdx(opts.min, data[0]);\n\t\t\t\t\topts.max = closestIdx(opts.max, data[0]);\n\n\t\t\t\t\tif (opts.min == opts.max)\n\t\t\t\t\t\topts.max++;\n\t\t\t\t}\n\t\t\t}\n\n\t\t//\tlog(\"setScale()\", arguments);\n\n\t\t\tpendScales[key] = opts;\n\n\t\t\tshouldSetScales = true;\n\t\t\tcommit();\n\t\t}\n\t}\n\n\tself.setScale = setScale;\n\n//\tINTERACTION\n\n\tlet xCursor;\n\tlet yCursor;\n\tlet vCursor;\n\tlet hCursor;\n\n\t// starting position before cursor.move\n\tlet rawMouseLeft0;\n\tlet rawMouseTop0;\n\n\t// starting position\n\tlet mouseLeft0;\n\tlet mouseTop0;\n\n\t// current position before cursor.move\n\tlet rawMouseLeft1;\n\tlet rawMouseTop1;\n\n\t// current position\n\tlet mouseLeft1;\n\tlet mouseTop1;\n\n\tlet dragging = false;\n\n\tconst drag = cursor.drag;\n\n\tlet dragX = drag.x;\n\tlet dragY = drag.y;\n\n\tif (showCursor) {\n\t\tif (cursor.x)\n\t\t\txCursor = placeDiv(CURSOR_X, over);\n\t\tif (cursor.y)\n\t\t\tyCursor = placeDiv(CURSOR_Y, over);\n\n\t\tif (scaleX.ori == 0) {\n\t\t\tvCursor = xCursor;\n\t\t\thCursor = yCursor;\n\t\t}\n\t\telse {\n\t\t\tvCursor = yCursor;\n\t\t\thCursor = xCursor;\n\t\t}\n\n\t\tmouseLeft1 = cursor.left;\n\t\tmouseTop1 = cursor.top;\n\t}\n\n\tconst select = self.select = assign({\n\t\tshow: true,\n\t\tover: true,\n\t\tleft: 0,\n\t\twidth: 0,\n\t\ttop: 0,\n\t\theight: 0,\n\t}, opts.select);\n\n\tconst selectDiv = select.show ? placeDiv(SELECT, select.over ? over : under) : null;\n\n\tfunction setSelect(opts, _fire) {\n\t\tif (select.show) {\n\t\t\tfor (let prop in opts) {\n\t\t\t\tselect[prop] = opts[prop];\n\n\t\t\t\tif (prop in _hideProps)\n\t\t\t\t\tsetStylePx(selectDiv, prop, opts[prop]);\n\t\t\t}\n\n\t\t\t_fire !== false && fire(\"setSelect\");\n\t\t}\n\t}\n\n\tself.setSelect = setSelect;\n\n\tfunction toggleDOM(i) {\n\t\tlet s = series[i];\n\n\t\tif (s.show)\n\t\t\tshowLegend && remClass(legendRows[i], OFF);\n\t\telse {\n\t\t\tshowLegend && addClass(legendRows[i], OFF);\n\n\t\t\tif (showCursor) {\n\t\t\t\tlet pt = cursorOnePt ? cursorPts[0] : cursorPts[i];\n\t\t\t\tpt != null && elTrans(pt, -10, -10, plotWidCss, plotHgtCss);\n\t\t\t}\n\t\t}\n\t}\n\n\tfunction _setScale(key, min, max) {\n\t\tsetScale(key, {min, max});\n\t}\n\n\tfunction setSeries(i, opts, _fire, _pub) {\n\t//\tlog(\"setSeries()\", arguments);\n\n\t\tif (opts.focus != null)\n\t\t\tsetFocus(i);\n\n\t\tif (opts.show != null) {\n\t\t\tseries.forEach((s, si) => {\n\t\t\t\tif (si > 0 && (i == si || i == null)) {\n\t\t\t\t\ts.show = opts.show;\n\t\t\t\t\ttoggleDOM(si);\n\n\t\t\t\t\tif (mode == 2) {\n\t\t\t\t\t\t_setScale(s.facets[0].scale, null, null);\n\t\t\t\t\t\t_setScale(s.facets[1].scale, null, null);\n\t\t\t\t\t}\n\t\t\t\t\telse\n\t\t\t\t\t\t_setScale(s.scale, null, null);\n\n\t\t\t\t\tcommit();\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\n\t\t_fire !== false && fire(\"setSeries\", i, opts);\n\n\t\t_pub && pubSync(\"setSeries\", self, i, opts);\n\t}\n\n\tself.setSeries = setSeries;\n\n\tfunction setBand(bi, opts) {\n\t\tassign(bands[bi], opts);\n\t}\n\n\tfunction addBand(opts, bi) {\n\t\topts.fill = fnOrSelf(opts.fill || null);\n\t\topts.dir = ifNull(opts.dir, -1);\n\t\tbi = bi == null ? bands.length : bi;\n\t\tbands.splice(bi, 0, opts);\n\t}\n\n\tfunction delBand(bi) {\n\t\tif (bi == null)\n\t\t\tbands.length = 0;\n\t\telse\n\t\t\tbands.splice(bi, 1);\n\t}\n\n\tself.addBand = addBand;\n\tself.setBand = setBand;\n\tself.delBand = delBand;\n\n\tfunction setAlpha(i, value) {\n\t\tseries[i].alpha = value;\n\n\t\tif (showCursor && cursorPts[i] != null)\n\t\t\tcursorPts[i].style.opacity = value;\n\n\t\tif (showLegend && legendRows[i])\n\t\t\tlegendRows[i].style.opacity = value;\n\t}\n\n\t// y-distance\n\tlet closestDist;\n\tlet closestSeries;\n\tlet focusedSeries;\n\tconst FOCUS_TRUE = {focus: true};\n\n\tfunction setFocus(i) {\n\t\tif (i != focusedSeries) {\n\t\t//\tlog(\"setFocus()\", arguments);\n\n\t\t\tlet allFocused = i == null;\n\n\t\t\tlet _setAlpha = focus.alpha != 1;\n\n\t\t\tseries.forEach((s, i2) => {\n\t\t\t\tif (mode == 1 || i2 > 0) {\n\t\t\t\t\tlet isFocused = allFocused || i2 == 0 || i2 == i;\n\t\t\t\t\ts._focus = allFocused ? null : isFocused;\n\t\t\t\t\t_setAlpha && setAlpha(i2, isFocused ? 1 : focus.alpha);\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tfocusedSeries = i;\n\t\t\t_setAlpha && commit();\n\t\t}\n\t}\n\n\tif (showLegend && cursorFocus) {\n\t\tonMouse(mouseleave, legendTable, e => {\n\t\t\tif (cursor._lock)\n\t\t\t\treturn;\n\n\t\t\tsetCursorEvent(e);\n\n\t\t\tif (focusedSeries != null)\n\t\t\t\tsetSeries(null, FOCUS_TRUE, true, syncOpts.setSeries);\n\t\t});\n\t}\n\n\tfunction posToVal(pos, scale, can) {\n\t\tlet sc = scales[scale];\n\n\t\tif (can)\n\t\t\tpos = pos / pxRatio - (sc.ori == 1 ? plotTopCss : plotLftCss);\n\n\t\tlet dim = plotWidCss;\n\n\t\tif (sc.ori == 1) {\n\t\t\tdim = plotHgtCss;\n\t\t\tpos = dim - pos;\n\t\t}\n\n\t\tif (sc.dir == -1)\n\t\t\tpos = dim - pos;\n\n\t\tlet _min = sc._min,\n\t\t\t_max = sc._max,\n\t\t\tpct = pos / dim;\n\n\t\tlet sv = _min + (_max - _min) * pct;\n\n\t\tlet distr = sc.distr;\n\n\t\treturn (\n\t\t\tdistr == 3 ? pow(10, sv) :\n\t\t\tdistr == 4 ? sinh(sv, sc.asinh) :\n\t\t\tdistr == 100 ? sc.bwd(sv) :\n\t\t\tsv\n\t\t);\n\t}\n\n\tfunction closestIdxFromXpos(pos, can) {\n\t\tlet v = posToVal(pos, xScaleKey, can);\n\t\treturn closestIdx(v, data[0], i0, i1);\n\t}\n\n\tself.valToIdx = val => closestIdx(val, data[0]);\n\tself.posToIdx = closestIdxFromXpos;\n\tself.posToVal = posToVal;\n\tself.valToPos = (val, scale, can) => (\n\t\tscales[scale].ori == 0 ?\n\t\tgetHPos(val, scales[scale],\n\t\t\tcan ? plotWid : plotWidCss,\n\t\t\tcan ? plotLft : 0,\n\t\t) :\n\t\tgetVPos(val, scales[scale],\n\t\t\tcan ? plotHgt : plotHgtCss,\n\t\t\tcan ? plotTop : 0,\n\t\t)\n\t);\n\n\tself.setCursor = (opts, _fire, _pub) => {\n\t\tmouseLeft1 = opts.left;\n\t\tmouseTop1 = opts.top;\n\t//\tassign(cursor, opts);\n\t\tupdateCursor(null, _fire, _pub);\n\t};\n\n\tfunction setSelH(off, dim) {\n\t\tsetStylePx(selectDiv, LEFT, select.left = off);\n\t\tsetStylePx(selectDiv, WIDTH, select.width = dim);\n\t}\n\n\tfunction setSelV(off, dim) {\n\t\tsetStylePx(selectDiv, TOP, select.top = off);\n\t\tsetStylePx(selectDiv, HEIGHT, select.height = dim);\n\t}\n\n\tlet setSelX = scaleX.ori == 0 ? setSelH : setSelV;\n\tlet setSelY = scaleX.ori == 1 ? setSelH : setSelV;\n\n\tfunction syncLegend() {\n\t\tif (showLegend && legend.live) {\n\t\t\tfor (let i = mode == 2 ? 1 : 0; i < series.length; i++) {\n\t\t\t\tif (i == 0 && multiValLegend)\n\t\t\t\t\tcontinue;\n\n\t\t\t\tlet vals = legend.values[i];\n\n\t\t\t\tlet j = 0;\n\n\t\t\t\tfor (let k in vals)\n\t\t\t\t\tlegendCells[i][j++].firstChild.nodeValue = vals[k];\n\t\t\t}\n\t\t}\n\t}\n\n\tfunction setLegend(opts, _fire) {\n\t\tif (opts != null) {\n\t\t\tif (opts.idxs) {\n\t\t\t\topts.idxs.forEach((didx, sidx) => {\n\t\t\t\t\tactiveIdxs[sidx] = didx;\n\t\t\t\t});\n\t\t\t}\n\t\t\telse if (!isUndef(opts.idx))\n\t\t\t\tactiveIdxs.fill(opts.idx);\n\n\t\t\tlegend.idx = activeIdxs[0];\n\t\t}\n\n\t\tif (showLegend && legend.live) {\n\t\t\tfor (let sidx = 0; sidx < series.length; sidx++) {\n\t\t\t\tif (sidx > 0 || mode == 1 && !multiValLegend)\n\t\t\t\t\tsetLegendValues(sidx, activeIdxs[sidx]);\n\t\t\t}\n\n\t\t\tsyncLegend();\n\t\t}\n\n\t\tshouldSetLegend = false;\n\n\t\t_fire !== false && fire(\"setLegend\");\n\t}\n\n\tself.setLegend = setLegend;\n\n\tfunction setLegendValues(sidx, idx) {\n\t\tlet s = series[sidx];\n\t\tlet src = sidx == 0 && xScaleDistr == 2 ? data0 : data[sidx];\n\t\tlet val;\n\n\t\tif (multiValLegend)\n\t\t\tval = s.values(self, sidx, idx) ?? NULL_LEGEND_VALUES;\n\t\telse {\n\t\t\tval = s.value(self, idx == null ? null : src[idx], sidx, idx);\n\t\t\tval = val == null ? NULL_LEGEND_VALUES : {_: val};\n\t\t}\n\n\t\tlegend.values[sidx] = val;\n\t}\n\n\tfunction updateCursor(src, _fire, _pub) {\n\t//\tts == null && log(\"updateCursor()\", arguments);\n\n\t\trawMouseLeft1 = mouseLeft1;\n\t\trawMouseTop1 = mouseTop1;\n\n\t\t[mouseLeft1, mouseTop1] = cursor.move(self, mouseLeft1, mouseTop1);\n\n\t\tcursor.left = mouseLeft1;\n\t\tcursor.top = mouseTop1;\n\n\t\tif (showCursor) {\n\t\t\tvCursor && elTrans(vCursor, round(mouseLeft1), 0, plotWidCss, plotHgtCss);\n\t\t\thCursor && elTrans(hCursor, 0, round(mouseTop1), plotWidCss, plotHgtCss);\n\t\t}\n\n\t\tlet idx;\n\n\t\t// when zooming to an x scale range between datapoints the binary search\n\t\t// for nearest min/max indices results in this condition. cheap hack :D\n\t\tlet noDataInRange = i0 > i1; // works for mode 1 only\n\n\t\tclosestDist = inf;\n\t\tclosestSeries = null;\n\n\t\t// TODO: extract\n\t\tlet xDim = scaleX.ori == 0 ? plotWidCss : plotHgtCss;\n\t\tlet yDim = scaleX.ori == 1 ? plotWidCss : plotHgtCss;\n\n\t\t// if cursor hidden, hide points & clear legend vals\n\t\tif (mouseLeft1 < 0 || dataLen == 0 || noDataInRange) {\n\t\t\tidx = cursor.idx = null;\n\n\t\t\tfor (let i = 0; i < series.length; i++) {\n\t\t\t\tlet pt = cursorPts[i];\n\t\t\t\tpt != null && elTrans(pt, -10, -10, plotWidCss, plotHgtCss);\n\t\t\t}\n\n\t\t\tif (cursorFocus)\n\t\t\t\tsetSeries(null, FOCUS_TRUE, true, src == null && syncOpts.setSeries);\n\n\t\t\tif (legend.live) {\n\t\t\t\tactiveIdxs.fill(idx);\n\t\t\t\tshouldSetLegend = true;\n\t\t\t}\n\t\t}\n\t\telse {\n\t\t//\tlet pctY = 1 - (y / rect.height);\n\n\t\t\tlet mouseXPos, valAtPosX, xPos;\n\n\t\t\tif (mode == 1) {\n\t\t\t\tmouseXPos = scaleX.ori == 0 ? mouseLeft1 : mouseTop1;\n\t\t\t\tvalAtPosX = posToVal(mouseXPos, xScaleKey);\n\t\t\t\tidx = cursor.idx = closestIdx(valAtPosX, data[0], i0, i1);\n\t\t\t\txPos = valToPosX(data[0][idx], scaleX, xDim, 0);\n\t\t\t}\n\n\t\t\t// closest pt values\n\t\t\tlet _ptLft = -10;\n\t\t\tlet _ptTop = -10;\n\t\t\tlet _ptWid = 0;\n\t\t\tlet _ptHgt = 0;\n\t\t\tlet _centered = true;\n\t\t\tlet _ptFill = '';\n\t\t\tlet _ptStroke = '';\n\n\t\t\tfor (let i = mode == 2 ? 1 : 0; i < series.length; i++) {\n\t\t\t\tlet s = series[i];\n\n\t\t\t\tlet idx1 = activeIdxs[i];\n\t\t\t\tlet yVal1 = idx1 == null ? null : (mode == 1 ? data[i][idx1] : data[i][1][idx1]);\n\n\t\t\t\tlet idx2 = cursor.dataIdx(self, i, idx, valAtPosX);\n\t\t\t\tlet yVal2 = idx2 == null ? null : (mode == 1 ? data[i][idx2] : data[i][1][idx2]);\n\n\t\t\t\tshouldSetLegend = shouldSetLegend || yVal2 != yVal1 || idx2 != idx1;\n\n\t\t\t\tactiveIdxs[i] = idx2;\n\n\t\t\t\tif (i > 0 && s.show) {\n\t\t\t\t\tlet xPos2 = idx2 == null ? -10 : idx2 == idx ? xPos : valToPosX(mode == 1 ? data[0][idx2] : data[i][0][idx2], scaleX, xDim, 0);\n\n\t\t\t\t\t// this doesnt really work for state timeline, heatmap, status history (where the value maps to color, not y coords)\n\t\t\t\t\tlet yPos = yVal2 == null ? -10 : valToPosY(yVal2, mode == 1 ? scales[s.scale] : scales[s.facets[1].scale], yDim, 0);\n\n\t\t\t\t\tif (cursorFocus && yVal2 != null) {\n\t\t\t\t\t\tlet mouseYPos = scaleX.ori == 1 ? mouseLeft1 : mouseTop1;\n\t\t\t\t\t\tlet dist = abs(focus.dist(self, i, idx2, yPos, mouseYPos));\n\n\t\t\t\t\t\tif (dist < closestDist) {\n\t\t\t\t\t\t\tlet bias = focus.bias;\n\n\t\t\t\t\t\t\tif (bias != 0) {\n\t\t\t\t\t\t\t\tlet mouseYVal = posToVal(mouseYPos, s.scale);\n\n\t\t\t\t\t\t\t\tlet seriesYValSign = yVal2 >= 0 ? 1 : -1;\n\t\t\t\t\t\t\t\tlet mouseYValSign = mouseYVal >= 0 ? 1 : -1;\n\n\t\t\t\t\t\t\t\t// with a focus bias, we will never cross zero when prox testing\n\t\t\t\t\t\t\t\t// it's either closest towards zero, or closest away from zero\n\t\t\t\t\t\t\t\tif (mouseYValSign == seriesYValSign && (\n\t\t\t\t\t\t\t\t\tmouseYValSign == 1 ?\n\t\t\t\t\t\t\t\t\t\t(bias == 1 ? yVal2 >= mouseYVal : yVal2 <= mouseYVal) : // >= 0\n\t\t\t\t\t\t\t\t\t\t(bias == 1 ? yVal2 <= mouseYVal : yVal2 >= mouseYVal) // < 0\n\t\t\t\t\t\t\t\t)) {\n\t\t\t\t\t\t\t\t\tclosestDist = dist;\n\t\t\t\t\t\t\t\t\tclosestSeries = i;\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\telse {\n\t\t\t\t\t\t\t\tclosestDist = dist;\n\t\t\t\t\t\t\t\tclosestSeries = i;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tif (shouldSetLegend || cursorOnePt) {\n\t\t\t\t\t\tlet hPos, vPos;\n\n\t\t\t\t\t\tif (scaleX.ori == 0) {\n\t\t\t\t\t\t\thPos = xPos2;\n\t\t\t\t\t\t\tvPos = yPos;\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\thPos = yPos;\n\t\t\t\t\t\t\tvPos = xPos2;\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tlet ptWid, ptHgt, ptLft, ptTop,\n\t\t\t\t\t\t\tptStroke, ptFill,\n\t\t\t\t\t\t\tcentered = true,\n\t\t\t\t\t\t\tgetBBox = points.bbox;\n\n\t\t\t\t\t\tif (getBBox != null) {\n\t\t\t\t\t\t\tcentered = false;\n\n\t\t\t\t\t\t\tlet bbox = getBBox(self, i);\n\n\t\t\t\t\t\t\tptLft = bbox.left;\n\t\t\t\t\t\t\tptTop = bbox.top;\n\t\t\t\t\t\t\tptWid = bbox.width;\n\t\t\t\t\t\t\tptHgt = bbox.height;\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tptLft = hPos;\n\t\t\t\t\t\t\tptTop = vPos;\n\t\t\t\t\t\t\tptWid = ptHgt = points.size(self, i);\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tptFill = points.fill(self, i);\n\t\t\t\t\t\tptStroke = points.stroke(self, i);\n\n\t\t\t\t\t\tif (cursorOnePt) {\n\t\t\t\t\t\t\tif (i == closestSeries && closestDist <= focus.prox) {\n\t\t\t\t\t\t\t\t_ptLft = ptLft;\n\t\t\t\t\t\t\t\t_ptTop = ptTop;\n\t\t\t\t\t\t\t\t_ptWid = ptWid;\n\t\t\t\t\t\t\t\t_ptHgt = ptHgt;\n\t\t\t\t\t\t\t\t_centered = centered;\n\t\t\t\t\t\t\t\t_ptFill = ptFill;\n\t\t\t\t\t\t\t\t_ptStroke = ptStroke;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tlet pt = cursorPts[i];\n\n\t\t\t\t\t\t\tif (pt != null) {\n\t\t\t\t\t\t\t\tcursorPtsLft[i] = ptLft;\n\t\t\t\t\t\t\t\tcursorPtsTop[i] = ptTop;\n\n\t\t\t\t\t\t\t\telSize(pt, ptWid, ptHgt, centered);\n\t\t\t\t\t\t\t\telColor(pt, ptFill, ptStroke);\n\t\t\t\t\t\t\t\telTrans(pt, ceil(ptLft), ceil(ptTop), plotWidCss, plotHgtCss);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// if only using single hover point (at cursorPts[0])\n\t\t\t// we have trigger styling at last visible series (once closestSeries is settled)\n\t\t\tif (cursorOnePt) {\n\t\t\t\t// some of this logic is similar to series focus below, since it matches the behavior by design\n\n\t\t\t\tlet p = focus.prox;\n\n\t\t\t\tlet focusChanged = focusedSeries == null ? closestDist <= p : (closestDist > p || closestSeries != focusedSeries);\n\n\t\t\t\tif (shouldSetLegend || focusChanged) {\n\t\t\t\t\tlet pt = cursorPts[0];\n\n\t\t\t\t\tif (pt != null) {\n\t\t\t\t\t\tcursorPtsLft[0] = _ptLft;\n\t\t\t\t\t\tcursorPtsTop[0] = _ptTop;\n\n\t\t\t\t\t\telSize(pt, _ptWid, _ptHgt, _centered);\n\t\t\t\t\t\telColor(pt, _ptFill, _ptStroke);\n\t\t\t\t\t\telTrans(pt, ceil(_ptLft), ceil(_ptTop), plotWidCss, plotHgtCss);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// nit: cursor.drag.setSelect is assumed always true\n\t\tif (select.show && dragging) {\n\t\t\tif (src != null) {\n\t\t\t\tlet [xKey, yKey] = syncOpts.scales;\n\t\t\t\tlet [matchXKeys, matchYKeys] = syncOpts.match;\n\t\t\t\tlet [xKeySrc, yKeySrc] = src.cursor.sync.scales;\n\n\t\t\t\t// match the dragX/dragY implicitness/explicitness of src\n\t\t\t\tlet sdrag = src.cursor.drag;\n\t\t\t\tdragX = sdrag._x;\n\t\t\t\tdragY = sdrag._y;\n\n\t\t\t\tif (dragX || dragY) {\n\t\t\t\t\tlet { left, top, width, height } = src.select;\n\n\t\t\t\t\tlet sori = src.scales[xKeySrc].ori;\n\t\t\t\t\tlet sPosToVal = src.posToVal;\n\n\t\t\t\t\tlet sOff, sDim, sc, a, b;\n\n\t\t\t\t\tlet matchingX = xKey != null && matchXKeys(xKey, xKeySrc);\n\t\t\t\t\tlet matchingY = yKey != null && matchYKeys(yKey, yKeySrc);\n\n\t\t\t\t\tif (matchingX && dragX) {\n\t\t\t\t\t\tif (sori == 0) {\n\t\t\t\t\t\t\tsOff = left;\n\t\t\t\t\t\t\tsDim = width;\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tsOff = top;\n\t\t\t\t\t\t\tsDim = height;\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tsc = scales[xKey];\n\n\t\t\t\t\t\ta = valToPosX(sPosToVal(sOff, xKeySrc), sc, xDim, 0);\n\t\t\t\t\t\tb = valToPosX(sPosToVal(sOff + sDim, xKeySrc), sc, xDim, 0);\n\n\t\t\t\t\t\tsetSelX(min(a,b), abs(b-a));\n\t\t\t\t\t}\n\t\t\t\t\telse\n\t\t\t\t\t\tsetSelX(0, xDim);\n\n\t\t\t\t\tif (matchingY && dragY) {\n\t\t\t\t\t\tif (sori == 1) {\n\t\t\t\t\t\t\tsOff = left;\n\t\t\t\t\t\t\tsDim = width;\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tsOff = top;\n\t\t\t\t\t\t\tsDim = height;\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tsc = scales[yKey];\n\n\t\t\t\t\t\ta = valToPosY(sPosToVal(sOff, yKeySrc), sc, yDim, 0);\n\t\t\t\t\t\tb = valToPosY(sPosToVal(sOff + sDim, yKeySrc), sc, yDim, 0);\n\n\t\t\t\t\t\tsetSelY(min(a,b), abs(b-a));\n\t\t\t\t\t}\n\t\t\t\t\telse\n\t\t\t\t\t\tsetSelY(0, yDim);\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t\thideSelect();\n\t\t\t}\n\t\t\telse {\n\t\t\t\tlet rawDX = abs(rawMouseLeft1 - rawMouseLeft0);\n\t\t\t\tlet rawDY = abs(rawMouseTop1 - rawMouseTop0);\n\n\t\t\t\tif (scaleX.ori == 1) {\n\t\t\t\t\tlet _rawDX = rawDX;\n\t\t\t\t\trawDX = rawDY;\n\t\t\t\t\trawDY = _rawDX;\n\t\t\t\t}\n\n\t\t\t\tdragX = drag.x && rawDX >= drag.dist;\n\t\t\t\tdragY = drag.y && rawDY >= drag.dist;\n\n\t\t\t\tlet uni = drag.uni;\n\n\t\t\t\tif (uni != null) {\n\t\t\t\t\t// only calc drag status if they pass the dist thresh\n\t\t\t\t\tif (dragX && dragY) {\n\t\t\t\t\t\tdragX = rawDX >= uni;\n\t\t\t\t\t\tdragY = rawDY >= uni;\n\n\t\t\t\t\t\t// force unidirectionality when both are under uni limit\n\t\t\t\t\t\tif (!dragX && !dragY) {\n\t\t\t\t\t\t\tif (rawDY > rawDX)\n\t\t\t\t\t\t\t\tdragY = true;\n\t\t\t\t\t\t\telse\n\t\t\t\t\t\t\t\tdragX = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\telse if (drag.x && drag.y && (dragX || dragY))\n\t\t\t\t\t// if omni with no uni then both dragX / dragY should be true if either is true\n\t\t\t\t\tdragX = dragY = true;\n\n\t\t\t\tlet p0, p1;\n\n\t\t\t\tif (dragX) {\n\t\t\t\t\tif (scaleX.ori == 0) {\n\t\t\t\t\t\tp0 = mouseLeft0;\n\t\t\t\t\t\tp1 = mouseLeft1;\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tp0 = mouseTop0;\n\t\t\t\t\t\tp1 = mouseTop1;\n\t\t\t\t\t}\n\n\t\t\t\t\tsetSelX(min(p0, p1), abs(p1 - p0));\n\n\t\t\t\t\tif (!dragY)\n\t\t\t\t\t\tsetSelY(0, yDim);\n\t\t\t\t}\n\n\t\t\t\tif (dragY) {\n\t\t\t\t\tif (scaleX.ori == 1) {\n\t\t\t\t\t\tp0 = mouseLeft0;\n\t\t\t\t\t\tp1 = mouseLeft1;\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tp0 = mouseTop0;\n\t\t\t\t\t\tp1 = mouseTop1;\n\t\t\t\t\t}\n\n\t\t\t\t\tsetSelY(min(p0, p1), abs(p1 - p0));\n\n\t\t\t\t\tif (!dragX)\n\t\t\t\t\t\tsetSelX(0, xDim);\n\t\t\t\t}\n\n\t\t\t\t// the drag didn't pass the dist requirement\n\t\t\t\tif (!dragX && !dragY) {\n\t\t\t\t\tsetSelX(0, 0);\n\t\t\t\t\tsetSelY(0, 0);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tdrag._x = dragX;\n\t\tdrag._y = dragY;\n\n\t\tif (src == null) {\n\t\t\tif (_pub) {\n\t\t\t\tif (syncKey != null) {\n\t\t\t\t\tlet [xSyncKey, ySyncKey] = syncOpts.scales;\n\n\t\t\t\t\tsyncOpts.values[0] = xSyncKey != null ? posToVal(scaleX.ori == 0 ? mouseLeft1 : mouseTop1, xSyncKey) : null;\n\t\t\t\t\tsyncOpts.values[1] = ySyncKey != null ? posToVal(scaleX.ori == 1 ? mouseLeft1 : mouseTop1, ySyncKey) : null;\n\t\t\t\t}\n\n\t\t\t\tpubSync(mousemove, self, mouseLeft1, mouseTop1, plotWidCss, plotHgtCss, idx);\n\t\t\t}\n\n\t\t\tif (cursorFocus) {\n\t\t\t\tlet shouldPub = _pub && syncOpts.setSeries;\n\t\t\t\tlet p = focus.prox;\n\n\t\t\t\tif (focusedSeries == null) {\n\t\t\t\t\tif (closestDist <= p)\n\t\t\t\t\t\tsetSeries(closestSeries, FOCUS_TRUE, true, shouldPub);\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tif (closestDist > p)\n\t\t\t\t\t\tsetSeries(null, FOCUS_TRUE, true, shouldPub);\n\t\t\t\t\telse if (closestSeries != focusedSeries)\n\t\t\t\t\t\tsetSeries(closestSeries, FOCUS_TRUE, true, shouldPub);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif (shouldSetLegend) {\n\t\t\tlegend.idx = idx;\n\t\t\tsetLegend();\n\t\t}\n\n\t\t_fire !== false && fire(\"setCursor\");\n\t}\n\n\tlet rect = null;\n\n\tObject.defineProperty(self, 'rect', {\n\t\tget() {\n\t\t\tif (rect == null)\n\t\t\t\tsyncRect(false);\n\n\t\t\treturn rect;\n\t\t},\n\t});\n\n\tfunction syncRect(defer = false) {\n\t\tif (defer)\n\t\t\trect = null;\n\t\telse {\n\t\t\trect = over.getBoundingClientRect();\n\t\t\tfire(\"syncRect\", rect);\n\t\t}\n\t}\n\n\tfunction mouseMove(e, src, _l, _t, _w, _h, _i) {\n\t\tif (cursor._lock)\n\t\t\treturn;\n\n\t\t// Chrome on Windows has a bug which triggers a stray mousemove event after an initial mousedown event\n\t\t// when clicking into a plot as part of re-focusing the browser window.\n\t\t// we gotta ignore it to avoid triggering a phantom drag / setSelect\n\t\t// However, on touch-only devices Chrome-based browsers trigger a 0-distance mousemove before mousedown\n\t\t// so we don't ignore it when mousedown has set the dragging flag\n\t\tif (dragging && e != null && e.movementX == 0 && e.movementY == 0)\n\t\t\treturn;\n\n\t\tcacheMouse(e, src, _l, _t, _w, _h, _i, false, e != null);\n\n\t\tif (e != null)\n\t\t\tupdateCursor(null, true, true);\n\t\telse\n\t\t\tupdateCursor(src, true, false);\n\t}\n\n\tfunction cacheMouse(e, src, _l, _t, _w, _h, _i, initial, snap) {\n\t\tif (rect == null)\n\t\t\tsyncRect(false);\n\n\t\tsetCursorEvent(e);\n\n\t\tif (e != null) {\n\t\t\t_l = e.clientX - rect.left;\n\t\t\t_t = e.clientY - rect.top;\n\t\t}\n\t\telse {\n\t\t\tif (_l < 0 || _t < 0) {\n\t\t\t\tmouseLeft1 = -10;\n\t\t\t\tmouseTop1 = -10;\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tlet [xKey, yKey] = syncOpts.scales;\n\n\t\t\tlet syncOptsSrc = src.cursor.sync;\n\t\t\tlet [xValSrc, yValSrc] = syncOptsSrc.values;\n\t\t\tlet [xKeySrc, yKeySrc] = syncOptsSrc.scales;\n\t\t\tlet [matchXKeys, matchYKeys] = syncOpts.match;\n\n\t\t\tlet rotSrc = src.axes[0].side % 2 == 1;\n\n\t\t\tlet xDim = scaleX.ori == 0 ? plotWidCss : plotHgtCss,\n\t\t\t\tyDim = scaleX.ori == 1 ? plotWidCss : plotHgtCss,\n\t\t\t\t_xDim = rotSrc ? _h : _w,\n\t\t\t\t_yDim = rotSrc ? _w : _h,\n\t\t\t\t_xPos = rotSrc ? _t : _l,\n\t\t\t\t_yPos = rotSrc ? _l : _t;\n\n\t\t\tif (xKeySrc != null)\n\t\t\t\t_l = matchXKeys(xKey, xKeySrc) ? getPos(xValSrc, scales[xKey], xDim, 0) : -10;\n\t\t\telse\n\t\t\t\t_l = xDim * (_xPos/_xDim);\n\n\t\t\tif (yKeySrc != null)\n\t\t\t\t_t = matchYKeys(yKey, yKeySrc) ? getPos(yValSrc, scales[yKey], yDim, 0) : -10;\n\t\t\telse\n\t\t\t\t_t = yDim * (_yPos/_yDim);\n\n\t\t\tif (scaleX.ori == 1) {\n\t\t\t\tlet __l = _l;\n\t\t\t\t_l = _t;\n\t\t\t\t_t = __l;\n\t\t\t}\n\t\t}\n\n\t\tif (snap && (src == null || src.cursor.event.type == mousemove)) {\n\t\t\tif (_l <= 1 || _l >= plotWidCss - 1)\n\t\t\t\t_l = incrRound(_l, plotWidCss);\n\n\t\t\tif (_t <= 1 || _t >= plotHgtCss - 1)\n\t\t\t\t_t = incrRound(_t, plotHgtCss);\n\t\t}\n\n\t\tif (initial) {\n\t\t\trawMouseLeft0 = _l;\n\t\t\trawMouseTop0 = _t;\n\n\t\t\t[mouseLeft0, mouseTop0] = cursor.move(self, _l, _t);\n\t\t}\n\t\telse {\n\t\t\tmouseLeft1 = _l;\n\t\t\tmouseTop1 = _t;\n\t\t}\n\t}\n\n\tconst _hideProps = {\n\t\twidth: 0,\n\t\theight: 0,\n\t\tleft: 0,\n\t\ttop: 0,\n\t};\n\n\tfunction hideSelect() {\n\t\tsetSelect(_hideProps, false);\n\t}\n\n\tlet downSelectLeft;\n\tlet downSelectTop;\n\tlet downSelectWidth;\n\tlet downSelectHeight;\n\n\tfunction mouseDown(e, src, _l, _t, _w, _h, _i) {\n\t\tdragging = true;\n\t\tdragX = dragY = drag._x = drag._y = false;\n\n\t\tcacheMouse(e, src, _l, _t, _w, _h, _i, true, false);\n\n\t\tif (e != null) {\n\t\t\tonMouse(mouseup, doc, mouseUp, false);\n\t\t\tpubSync(mousedown, self, mouseLeft0, mouseTop0, plotWidCss, plotHgtCss, null);\n\t\t}\n\n\t\tlet { left, top, width, height } = select;\n\n\t\tdownSelectLeft = left;\n\t\tdownSelectTop = top;\n\t\tdownSelectWidth = width;\n\t\tdownSelectHeight = height;\n\n\t//\thideSelect();\n\t}\n\n\tfunction mouseUp(e, src, _l, _t, _w, _h, _i) {\n\t\tdragging = drag._x = drag._y = false;\n\n\t\tcacheMouse(e, src, _l, _t, _w, _h, _i, false, true);\n\n\t\tlet { left, top, width, height } = select;\n\n\t\tlet hasSelect = width > 0 || height > 0;\n\t\tlet chgSelect = (\n\t\t\tdownSelectLeft != left ||\n\t\t\tdownSelectTop != top ||\n\t\t\tdownSelectWidth != width ||\n\t\t\tdownSelectHeight != height\n\t\t);\n\n\t\thasSelect && chgSelect && setSelect(select);\n\n\t\tif (drag.setScale && hasSelect && chgSelect) {\n\t\t//\tif (syncKey != null) {\n\t\t//\t\tdragX = drag.x;\n\t\t//\t\tdragY = drag.y;\n\t\t//\t}\n\n\t\t\tlet xOff = left,\n\t\t\t\txDim = width,\n\t\t\t\tyOff = top,\n\t\t\t\tyDim = height;\n\n\t\t\tif (scaleX.ori == 1) {\n\t\t\t\txOff = top,\n\t\t\t\txDim = height,\n\t\t\t\tyOff = left,\n\t\t\t\tyDim = width;\n\t\t\t}\n\n\t\t\tif (dragX) {\n\t\t\t\t_setScale(xScaleKey,\n\t\t\t\t\tposToVal(xOff, xScaleKey),\n\t\t\t\t\tposToVal(xOff + xDim, xScaleKey)\n\t\t\t\t);\n\t\t\t}\n\n\t\t\tif (dragY) {\n\t\t\t\tfor (let k in scales) {\n\t\t\t\t\tlet sc = scales[k];\n\n\t\t\t\t\tif (k != xScaleKey && sc.from == null && sc.min != inf) {\n\t\t\t\t\t\t_setScale(k,\n\t\t\t\t\t\t\tposToVal(yOff + yDim, k),\n\t\t\t\t\t\t\tposToVal(yOff, k)\n\t\t\t\t\t\t);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thideSelect();\n\t\t}\n\t\telse if (cursor.lock) {\n\t\t\tcursor._lock = !cursor._lock;\n\t\t\tupdateCursor(src, true, e != null);\n\t\t}\n\n\t\tif (e != null) {\n\t\t\toffMouse(mouseup, doc);\n\t\t\tpubSync(mouseup, self, mouseLeft1, mouseTop1, plotWidCss, plotHgtCss, null);\n\t\t}\n\t}\n\n\tfunction mouseLeave(e, src, _l, _t, _w, _h, _i) {\n\t\tif (cursor._lock)\n\t\t\treturn;\n\n\t\tsetCursorEvent(e);\n\n\t\tlet _dragging = dragging;\n\n\t\tif (dragging) {\n\t\t\t// handle case when mousemove aren't fired all the way to edges by browser\n\t\t\tlet snapH = true;\n\t\t\tlet snapV = true;\n\t\t\tlet snapProx = 10;\n\n\t\t\tlet dragH, dragV;\n\n\t\t\tif (scaleX.ori == 0) {\n\t\t\t\tdragH = dragX;\n\t\t\t\tdragV = dragY;\n\t\t\t}\n\t\t\telse {\n\t\t\t\tdragH = dragY;\n\t\t\t\tdragV = dragX;\n\t\t\t}\n\n\t\t\tif (dragH && dragV) {\n\t\t\t\t// maybe omni corner snap\n\t\t\t\tsnapH = mouseLeft1 <= snapProx || mouseLeft1 >= plotWidCss - snapProx;\n\t\t\t\tsnapV = mouseTop1 <= snapProx || mouseTop1 >= plotHgtCss - snapProx;\n\t\t\t}\n\n\t\t\tif (dragH && snapH)\n\t\t\t\tmouseLeft1 = mouseLeft1 < mouseLeft0 ? 0 : plotWidCss;\n\n\t\t\tif (dragV && snapV)\n\t\t\t\tmouseTop1 = mouseTop1 < mouseTop0 ? 0 : plotHgtCss;\n\n\t\t\tupdateCursor(null, true, true);\n\n\t\t\tdragging = false;\n\t\t}\n\n\t\tmouseLeft1 = -10;\n\t\tmouseTop1 = -10;\n\n\t\tactiveIdxs.fill(null);\n\n\t\t// passing a non-null timestamp to force sync/mousemove event\n\t\tupdateCursor(null, true, true);\n\n\t\tif (_dragging)\n\t\t\tdragging = _dragging;\n\t}\n\n\tfunction dblClick(e, src, _l, _t, _w, _h, _i) {\n\t\tif (cursor._lock)\n\t\t\treturn;\n\n\t\tsetCursorEvent(e);\n\n\t\tautoScaleX();\n\n\t\thideSelect();\n\n\t\tif (e != null)\n\t\t\tpubSync(dblclick, self, mouseLeft1, mouseTop1, plotWidCss, plotHgtCss, null);\n\t}\n\n\tfunction syncPxRatio() {\n\t\taxes.forEach(syncFontSize);\n\t\t_setSize(self.width, self.height, true);\n\t}\n\n\ton(dppxchange, win, syncPxRatio);\n\n\t// internal pub/sub\n\tconst events = {};\n\n\tevents.mousedown = mouseDown;\n\tevents.mousemove = mouseMove;\n\tevents.mouseup = mouseUp;\n\tevents.dblclick = dblClick;\n\tevents[\"setSeries\"] = (e, src, idx, opts) => {\n\t\tlet seriesIdxMatcher = syncOpts.match[2];\n\t\tidx = seriesIdxMatcher(self, src, idx);\n\t\tidx != -1 && setSeries(idx, opts, true, false);\n\t};\n\n\tif (showCursor) {\n\t\tonMouse(mousedown, over, mouseDown);\n\t\tonMouse(mousemove, over, mouseMove);\n\t\tonMouse(mouseenter, over, e => {\n\t\t\tsetCursorEvent(e);\n\t\t\tsyncRect(false);\n\t\t});\n\t\tonMouse(mouseleave, over, mouseLeave);\n\n\t\tonMouse(dblclick, over, dblClick);\n\n\t\tcursorPlots.add(self);\n\n\t\tself.syncRect = syncRect;\n\t}\n\n\t// external on/off\n\tconst hooks = self.hooks = opts.hooks || {};\n\n\tfunction fire(evName, a1, a2) {\n\t\tif (deferHooks)\n\t\t\thooksQueue.push([evName, a1, a2]);\n\t\telse {\n\t\t\tif (evName in hooks) {\n\t\t\t\thooks[evName].forEach(fn => {\n\t\t\t\t\tfn.call(null, self, a1, a2);\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t}\n\n\t(opts.plugins || []).forEach(p => {\n\t\tfor (let evName in p.hooks)\n\t\t\thooks[evName] = (hooks[evName] || []).concat(p.hooks[evName]);\n\t});\n\n\tconst seriesIdxMatcher = (self, src, srcSeriesIdx) => srcSeriesIdx;\n\n\tconst syncOpts = assign({\n\t\tkey: null,\n\t\tsetSeries: false,\n\t\tfilters: {\n\t\t\tpub: retTrue,\n\t\t\tsub: retTrue,\n\t\t},\n\t\tscales: [xScaleKey, series[1] ? series[1].scale : null],\n\t\tmatch: [retEq, retEq, seriesIdxMatcher],\n\t\tvalues: [null, null],\n\t}, cursor.sync);\n\n\tif (syncOpts.match.length == 2)\n\t\tsyncOpts.match.push(seriesIdxMatcher);\n\n\tcursor.sync = syncOpts;\n\n\tconst syncKey = syncOpts.key;\n\n\tconst sync = _sync(syncKey);\n\n\tfunction pubSync(type, src, x, y, w, h, i) {\n\t\tif (syncOpts.filters.pub(type, src, x, y, w, h, i))\n\t\t\tsync.pub(type, src, x, y, w, h, i);\n\t}\n\n\tsync.sub(self);\n\n\tfunction pub(type, src, x, y, w, h, i) {\n\t\tif (syncOpts.filters.sub(type, src, x, y, w, h, i))\n\t\t\tevents[type](null, src, x, y, w, h, i);\n\t}\n\n\tself.pub = pub;\n\n\tfunction destroy() {\n\t\tsync.unsub(self);\n\t\tcursorPlots.delete(self);\n\t\tmouseListeners.clear();\n\t\toff(dppxchange, win, syncPxRatio);\n\t\troot.remove();\n\t\tlegendTable?.remove(); // in case mounted outside of root\n\t\tfire(\"destroy\");\n\t}\n\n\tself.destroy = destroy;\n\n\tfunction _init() {\n\t\tfire(\"init\", opts, data);\n\n\t\tsetData(data || opts.data, false);\n\n\t\tif (pendScales[xScaleKey])\n\t\t\tsetScale(xScaleKey, pendScales[xScaleKey]);\n\t\telse\n\t\t\tautoScaleX();\n\n\t\tshouldSetSelect = select.show && (select.width > 0 || select.height > 0);\n\t\tshouldSetCursor = shouldSetLegend = true;\n\n\t\t_setSize(opts.width, opts.height);\n\t}\n\n\tseries.forEach(initSeries);\n\n\taxes.forEach(initAxis);\n\n\tif (then) {\n\t\tif (then instanceof HTMLElement) {\n\t\t\tthen.appendChild(root);\n\t\t\t_init();\n\t\t}\n\t\telse\n\t\t\tthen(self, _init);\n\t}\n\telse\n\t\t_init();\n\n\treturn self;\n}\n\nuPlot.assign = assign;\nuPlot.fmtNum = fmtNum;\nuPlot.rangeNum = rangeNum;\nuPlot.rangeLog = rangeLog;\nuPlot.rangeAsinh = rangeAsinh;\nuPlot.orient = orient;\nuPlot.pxRatio = pxRatio;\n\n{\n\tuPlot.join = join;\n}\n\n{\n\tuPlot.fmtDate = fmtDate;\n\tuPlot.tzDate = tzDate;\n}\n\nuPlot.sync = _sync;\n\n{\n\tuPlot.addGap = addGap;\n\tuPlot.clipGaps = clipGaps;\n\n\tlet paths = uPlot.paths = {\n\t\tpoints,\n\t};\n\n\t(paths.linear = linear);\n\t(paths.stepped = stepped);\n\t(paths.bars = bars);\n\t(paths.spline = monotoneCubic);\n}\n\nexport { uPlot as default };\n"], + "mappings": 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+ "fit-file-parser": "2.3.3", + "uplot": "1.6.32" + }, + "devDependencies": { + "esbuild": "0.20.2", + "prettier": "3.8.1", + "typescript": "5.9.3" + } +} diff --git a/suites-experimental/tools-gps-tracks/scripts/generate-test-data.mjs b/suites-experimental/tools-gps-tracks/scripts/generate-test-data.mjs new file mode 100644 index 0000000000..863683c269 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/scripts/generate-test-data.mjs @@ -0,0 +1,453 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +import fs from 'fs/promises'; +import path from 'path'; +import zlib from 'zlib'; + +const SRC_OUT_DIR = path.join(import.meta.dirname, '../test-data'); +const DIST_OUT_DIR = path.join(import.meta.dirname, '../dist/test-data'); + +// Deterministic PRNG (Mulberry32) so generated test data is reproducible. +let prngSeed = 0x20260720; +function random() { + let t = (prngSeed += 0x6d2b79f5); + t = Math.imul(t ^ (t >>> 15), t | 1); + t ^= t + Math.imul(t ^ (t >>> 7), t | 61); + return ((t ^ (t >>> 14)) >>> 0) / 4294967296; +} + +function generateGPX( + name, + startTime, + pointCount, + baseAlt, + basePower, + baseHr, + baseCad, + baseSpeed, + profile, +) { + let xml = `\n`; + xml += `\n`; + xml += ` ${name}\n`; + xml += ` ${name}\n`; + + let lat = 46.5197; + let lon = 6.6323; + let alt = baseAlt; + const rearGears = [11, 12, 13, 14, 15, 17, 19, 21, 24, 28]; + + for (let i = 0; i < pointCount; i++) { + const t = new Date(startTime + i * 1000).toISOString(); + lat += 0.0001 * Math.cos(i * 0.02) + (random() - 0.5) * 0.00005; + lon += 0.00015 * Math.sin(i * 0.02) + (random() - 0.5) * 0.00005; + + let power = Math.max(100, Math.round(basePower + Math.sin(i / 20) * 50 + (random() * 20 - 10))); + let hr = Math.min(190, Math.max(100, Math.round(baseHr + Math.sin(i / 30) * 15))); + let cad = Math.min(120, Math.max(60, Math.round(baseCad + Math.cos(i / 15) * 10))); + let speed = Math.max(5.0, Number((baseSpeed + Math.sin(i / 25) * 3).toFixed(2))); + let temp = Number( + (20.0 - (alt - baseAlt) * 0.02 + (i / pointCount) * 2.5 + Math.sin(i / 100) * 1.0).toFixed(1), + ); + let frontTooth = 52; + let rearTooth = rearGears[Math.floor((i / 45) % rearGears.length)]; + let battery = Math.max(15, 100 - Math.floor(i / 60)); + + if (profile === 'race') { + alt += Math.sin(i / 40) * 1.8; + power = Math.max(150, Math.round(280 + 100 * Math.sin(i / 15) + (random() - 0.5) * 20)); + hr = Math.min(192, Math.max(120, Math.round(165 + 20 * Math.sin(i / 30)))); + speed = Math.max(8.0, Number((baseSpeed + 2 + Math.sin(i / 20) * 4).toFixed(2))); + temp = Number( + (17.5 - (alt - baseAlt) * 0.025 + (i / pointCount) * 2.8 + Math.sin(i / 110) * 1.2).toFixed( + 1, + ), + ); + } else if (profile === 'mtb') { + alt += Math.cos(i / 25) * 1.5; + frontTooth = 34; + rearTooth = rearGears[Math.floor((i / 25) % rearGears.length)]; + temp = Number( + (19.5 - (alt - baseAlt) * 0.02 + (i / pointCount) * 2.2 + Math.cos(i / 90) * 1.1).toFixed( + 1, + ), + ); + speed = Math.max(4.0, Number((baseSpeed - 2 + Math.cos(i / 15) * 2.5).toFixed(2))); + } else { + alt += Math.sin(i / 50) * 1.2; + temp = Number( + (20.0 - (alt - baseAlt) * 0.02 + (i / pointCount) * 2.5 + Math.sin(i / 100) * 1.0).toFixed( + 1, + ), + ); + } + + xml += ` \n`; + xml += ` ${alt.toFixed(1)}\n`; + xml += ` \n`; + xml += ` \n`; + xml += ` ${power}\n`; + xml += `

${hr}\n`; + xml += ` ${cad}\n`; + xml += ` ${temp}\n`; + xml += ` ${speed}\n`; + xml += ` ${frontTooth}\n`; + xml += ` ${rearTooth}\n`; + xml += ` ${battery}\n`; + xml += ` \n`; + xml += ` ${hr}\n`; + xml += ` ${cad}\n`; + xml += ` ${temp}\n`; + xml += ` \n`; + xml += ` \n`; + xml += ` \n`; + } + + xml += ` \n`; + xml += `\n`; + return xml; +} + +function generateTCX( + name, + startTime, + pointCount, + baseAlt, + basePower, + baseHr, + baseCad, + baseSpeed, + profile, +) { + let xml = `\n`; + xml += `\n`; + xml += ` \n`; + xml += ` ${new Date(startTime).toISOString()}\n`; + xml += ` ${name}\n`; + xml += ` \n`; + xml += ` \n`; + + let lat = 47.3769; + let lon = 8.5417; + let alt = baseAlt; + const rearGears = [11, 12, 13, 14, 15, 17, 19, 21, 23, 25]; + + for (let i = 0; i < pointCount; i++) { + const t = new Date(startTime + i * 1000).toISOString(); + lat += (random() - 0.45) * 0.0005; + lon += (random() - 0.45) * 0.0005; + + let power = Math.max( + 120, + Math.round(basePower + Math.cos(i / 25) * 60 + (random() * 15 - 7.5)), + ); + let hr = Math.min(195, Math.max(110, Math.round(baseHr + Math.cos(i / 35) * 18))); + let cad = Math.min(115, Math.max(65, Math.round(baseCad + Math.cos(i / 18) * 8))); + let speed = Math.max(6.0, Number((baseSpeed + Math.sin(i / 20) * 2.5).toFixed(2))); + let temp = 21.5; + let frontTooth = 50; + let rearTooth = rearGears[Math.floor((i / 40) % rearGears.length)]; + let battery = Math.max(20, 98 - Math.floor(i / 50)); + + if (profile === 'interval') { + const isInterval = i % 120 < 40; + if (isInterval) { + power = Math.round(380 + random() * 30); + hr = Math.min(195, Math.round(170 + random() * 5)); + cad = Math.round(100 + random() * 5 - 2.5); + speed = Math.max(10.0, Number((baseSpeed + 4 + random()).toFixed(2))); + rearTooth = 13; + } else { + power = Math.round(150 + random() * 15); + hr = Math.max(130, Math.round(145 + random() * 5)); + cad = Math.round(80 + random() * 4 - 2); + speed = Math.max(6.0, Number((baseSpeed - 2 + random() * 0.5).toFixed(2))); + rearTooth = 21; + } + alt += Math.cos(i / 30) * 0.8; + temp = Number( + (24.8 - (i / pointCount) * 2.2 - (alt - baseAlt) * 0.02 + Math.sin(i / 85) * 1.1).toFixed( + 1, + ), + ); + } else { + alt += Math.cos(i / 40) * 1.0; + temp = Number( + (18.5 + (i / pointCount) * 3.4 - (alt - baseAlt) * 0.02 + Math.cos(i / 100) * 1.0).toFixed( + 1, + ), + ); + } + + xml += ` \n`; + xml += ` \n`; + xml += ` ${lat.toFixed(6)}${lon.toFixed(6)}\n`; + xml += ` ${alt.toFixed(1)}\n`; + xml += ` ${hr}\n`; + xml += ` ${cad}\n`; + xml += ` \n`; + xml += ` \n`; + xml += ` ${speed.toFixed(2)}\n`; + xml += ` ${power}\n`; + xml += ` \n`; + xml += ` ${temp}\n`; + xml += ` ${temp}\n`; + xml += ` ${frontTooth}\n`; + xml += ` ${rearTooth}\n`; + xml += ` ${battery}\n`; + xml += ` \n`; + xml += ` \n`; + } + + xml += ` \n`; + xml += ` \n`; + xml += ` \n`; + xml += `\n`; + return xml; +} + +function generateFIT( + startTimeMs, + pointCount, + baseAlt, + basePower, + baseHr, + baseCad, + baseSpeed, + baseTemp = 20, +) { + const garminEpoch = 631065600; + const startGarmin = Math.floor(startTimeMs / 1000) - garminEpoch; + const chunks = []; + + chunks.push( + Buffer.from([ + 0x40, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x01, 0x00, 0x01, 0x02, 0x84, 0x02, 0x02, 0x84, + 0x04, 0x04, 0x86, + ]), + ); + const d0 = Buffer.alloc(10); + d0.writeUInt8(0x00, 0); + d0.writeUInt8(4, 1); + d0.writeUInt16LE(1, 2); + d0.writeUInt16LE(2026, 4); + d0.writeUInt32LE(startGarmin >>> 0, 6); + chunks.push(d0); + + chunks.push( + Buffer.from([ + 0x41, 0x00, 0x00, 0x12, 0x00, 0x03, 0x02, 0x04, 0x86, 0x05, 0x01, 0x00, 0x06, 0x01, 0x00, + ]), + ); + const d18 = Buffer.alloc(7); + d18.writeUInt8(0x01, 0); + d18.writeUInt32LE(startGarmin >>> 0, 1); + d18.writeUInt8(2, 5); + d18.writeUInt8(0, 6); + chunks.push(d18); + + chunks.push( + Buffer.from([ + 0x42, 0x00, 0x00, 0x14, 0x00, 0x0a, 0xfd, 0x04, 0x86, 0x00, 0x04, 0x85, 0x01, 0x04, 0x85, + 0x02, 0x02, 0x84, 0x03, 0x01, 0x02, 0x04, 0x01, 0x02, 0x05, 0x04, 0x86, 0x06, 0x02, 0x84, + 0x07, 0x02, 0x84, 0x0d, 0x01, 0x01, + ]), + ); + + chunks.push( + Buffer.from([ + 0x43, 0x00, 0x00, 0x15, 0x00, 0x06, 0xfd, 0x04, 0x86, 0x00, 0x01, 0x00, 0x01, 0x01, 0x00, + 0x03, 0x04, 0x86, 0x09, 0x01, 0x02, 0x0b, 0x01, 0x02, + ]), + ); + + chunks.push( + Buffer.from([0x44, 0x00, 0x00, 0x17, 0x00, 0x02, 0xfd, 0x04, 0x86, 0x20, 0x01, 0x02]), + ); + + let lat = 46.2; + let lon = 7.2; + let alt = baseAlt; + let dist = 0; + let frontGear = 2; + let rearGear = 5; + let battery = 100; + + for (let i = 0; i < pointCount; i++) { + const t = startGarmin + i * 1; + lat += (random() - 0.45) * 0.0005; + lon += (random() - 0.45) * 0.0005; + alt += Math.sin(i / 50) * 1.4; + dist += baseSpeed * 1; + const speed = baseSpeed + Math.sin(i / 30) * 2.5; + const power = Math.max( + 110, + Math.round(basePower + Math.sin(i / 20) * 65 + (random() - 0.5) * 20), + ); + const hr = Math.min( + 190, + Math.max(105, Math.round(baseHr + Math.sin(i / 30) * 18 + (random() - 0.5) * 4)), + ); + const cad = Math.min( + 115, + Math.max(65, Math.round(baseCad + Math.sin(i / 20) * 10 + (random() - 0.5) * 3)), + ); + const temp = Math.round( + baseTemp - (alt - baseAlt) * 0.025 + (i / pointCount) * 3.2 + Math.sin(i / 80) * 1.8, + ); + + const d20 = Buffer.alloc(26); + d20.writeUInt8(0x02, 0); + d20.writeUInt32LE(t >>> 0, 1); + d20.writeInt32LE(Math.round(lat * (Math.pow(2, 31) / 180)), 5); + d20.writeInt32LE(Math.round(lon * (Math.pow(2, 31) / 180)), 9); + d20.writeUInt16LE(Math.round((alt + 500) * 5), 13); + d20.writeUInt8(hr, 15); + d20.writeUInt8(cad, 16); + d20.writeUInt32LE(Math.round(dist * 100) >>> 0, 17); + d20.writeUInt16LE(Math.round(speed * 1000), 21); + d20.writeUInt16LE(power, 23); + d20.writeInt8(temp, 25); + chunks.push(d20); + + if (i % 50 === 25) { + rearGear = (rearGear % 11) + 1; + if (i % 200 === 100) frontGear = frontGear === 2 ? 1 : 2; + const d21 = Buffer.alloc(13); + d21.writeUInt8(0x03, 0); + d21.writeUInt32LE(t >>> 0, 1); + d21.writeUInt8(43, 5); + d21.writeUInt8(3, 6); + const teethData = + ((frontGear === 2 ? 52 : 36) << 24) | (frontGear << 16) | ((11 + rearGear) << 8) | rearGear; + d21.writeUInt32LE(teethData >>> 0, 7); + d21.writeUInt8(frontGear, 11); + d21.writeUInt8(rearGear, 12); + chunks.push(d21); + } + + if (i % 100 === 0) { + battery = Math.max(10, 100 - Math.floor(i / 100)); + const d23 = Buffer.alloc(6); + d23.writeUInt8(0x04, 0); + d23.writeUInt32LE(t >>> 0, 1); + d23.writeUInt8(battery, 5); + chunks.push(d23); + } + } + + const dataBuf = Buffer.concat(chunks); + const header = Buffer.alloc(14); + header.writeUInt8(14, 0); + header.writeUInt8(32, 1); + header.writeUInt16LE(2114, 2); + header.writeUInt32LE(dataBuf.length, 4); + header.write('.FIT', 8, 4, 'ascii'); + header.writeUInt16LE(0, 12); + + const fileCrc = Buffer.alloc(2); + return Buffer.concat([header, dataBuf, fileCrc]); +} + +async function run() { + await fs.mkdir(SRC_OUT_DIR, { recursive: true }); + await fs.mkdir(DIST_OUT_DIR, { recursive: true }); + + const files = [ + { + name: 'activity_1_alps_stage.gpx', + content: generateGPX( + 'Alpine Mountain Stage', + Date.parse('2026-05-10T08:00:00Z'), + 1500, + 600, + 260, + 160, + 85, + 9.5, + 'race', + ), + }, + { + name: 'activity_2_forest_mtb.gpx', + content: generateGPX( + 'Forest MTB Trail', + Date.parse('2026-05-17T09:30:00Z'), + 1200, + 450, + 230, + 155, + 80, + 7.5, + 'mtb', + ), + }, + { + name: 'activity_3_road_race.tcx', + content: generateTCX( + 'Lakeside Road Race', + Date.parse('2026-06-05T07:15:00Z'), + 1600, + 380, + 280, + 168, + 92, + 11.2, + 'road', + ), + }, + { + name: 'activity_4_intervals.tcx', + content: generateTCX( + 'Sprint Intervals', + Date.parse('2026-06-12T17:00:00Z'), + 1400, + 350, + 320, + 175, + 96, + 12.0, + 'interval', + ), + }, + { + name: 'activity_5_grand_tour.fit', + content: generateFIT(Date.parse('2026-07-02T08:30:00Z'), 1800, 500, 270, 162, 88, 10.5, 19), + }, + { + name: 'activity_6_weekend_ride.fit', + content: generateFIT(Date.parse('2026-07-15T09:00:00Z'), 1400, 320, 210, 142, 84, 8.8, 22), + }, + ]; + + await fs.rm(SRC_OUT_DIR, { recursive: true, force: true }); + await fs.rm(DIST_OUT_DIR, { recursive: true, force: true }); + await fs.mkdir(SRC_OUT_DIR, { recursive: true }); + await fs.mkdir(DIST_OUT_DIR, { recursive: true }); + + const manifest = []; + for (const file of files) { + const gzName = `${file.name}.gz`; + const srcPath = path.join(SRC_OUT_DIR, gzName); + const distPath = path.join(DIST_OUT_DIR, gzName); + const rawBuf = + typeof file.content === 'string' ? Buffer.from(file.content, 'utf-8') : file.content; + const compressed = zlib.gzipSync(rawBuf, { level: 9 }); + await fs.writeFile(srcPath, compressed); + await fs.writeFile(distPath, compressed); + manifest.push(gzName); + console.log(`Generated ${gzName} (${compressed.length} compressed bytes)`); + } + + const manifestJson = JSON.stringify(manifest, null, 2); + await fs.writeFile(path.join(SRC_OUT_DIR, 'manifest.json'), manifestJson); + await fs.writeFile(path.join(DIST_OUT_DIR, 'manifest.json'), manifestJson); + console.log('Saved manifest.json with', manifest.length, 'files.'); +} + +run().catch((err) => { + console.error(err); + process.exit(1); +}); diff --git a/suites-experimental/tools-gps-tracks/src/app.ts b/suites-experimental/tools-gps-tracks/src/app.ts new file mode 100644 index 0000000000..f91f68092d --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/app.ts @@ -0,0 +1,2179 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +// ── Main Application ────────────────────────────────────────────── + +import { Storage } from './storage'; +import { UrlState, AppState } from './url-state'; +import { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers'; +import { MapView } from './map'; +import { ChartView } from './charts'; +import { renderDetails, initDetails, resetDetails } from './tabs/details'; +import { renderInsights, initInsights, resetInsights } from './tabs/insights'; +import { renderCombined, initCombined, resizeCombined, resetCombined } from './tabs/combined'; +import { renderEvolution, resetEvolution } from './tabs/progress'; +import { + renderCourses, + initCourses, + prepareBenchmarkCourses, + resetCourses, + selectCourse, +} from './tabs/courses'; +import { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils'; + +const TRACK_COLORS: string[] = [ + '#FF6B35', + '#4ECDC4', + '#45B7D1', + '#F7DC6F', + '#FF6B6B', + '#BB8FCE', + '#82E0AA', + '#F8C471', + '#3b82f6', +]; + +const POINT_ZOOM_LEVEL = 16; + +let tracks: Record = {}; +let skippedImports: { name: string; reason: string }[] = []; + +function isSameDay(t1: number, t2: number) { + const d1 = new Date(t1); + const d2 = new Date(t2); + return ( + d1.getUTCFullYear() === d2.getUTCFullYear() && + d1.getUTCMonth() === d2.getUTCMonth() && + d1.getUTCDate() === d2.getUTCDate() + ); +} + +let cancelProcessing = false; +let selectedId: string | null = null; +let colorIdx = 0; +let followDot = false; +let currentMapColors: string[] | null = null; + +// Search/Filter state +let searchQuery = ''; +let searchRegex = false; +let currentSort = 'date-desc'; + +interface Filters { + date: [string | null, string | null]; + dist: [number | null, number | null]; + dur: [number | null, number | null]; + metrics: Set; + tags: string[]; + sport: string | null; +} + +let filters: Filters = { + date: [null, null], + dist: [null, null], + dur: [null, null], + metrics: new Set(), + tags: [], + sport: null, +}; + +function syncFiltersToUrl(push: boolean = false) { + UrlState.patch( + { + f_date: filters.date.every((v) => v === null) ? null : filters.date, + f_dist: filters.dist.every((v) => v === null) ? null : filters.dist, + f_dur: filters.dur.every((v) => v === null) ? null : filters.dur, + f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics), + f_tags: filters.tags.length === 0 ? null : filters.tags, + }, + push, + ); +} + +function syncMetricsToUrl() { + const active = ChartView.getActiveMetrics(); + const metrics = ChartView.METRICS; + const abbrs = Array.from(active).map((key) => metrics[key].abbr); + UrlState.patch({ metrics: abbrs.length ? abbrs : null }); +} + +const SORT_OPTIONS = [ + { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' }, + { label: 'Oldest first', val: 'date-asc', icon: 'history' }, + { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' }, + { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' }, + { label: 'Longest duration', val: 'dur-desc', icon: 'timer' }, + { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' }, +]; + +function showSortMenu(anchorEl: HTMLElement) { + document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove()); + + const popup = document.createElement('div'); + popup.className = 'sort-menu-popup'; + + SORT_OPTIONS.forEach((opt) => { + const item = document.createElement('div'); + item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`; + item.innerHTML = ` + ${opt.icon} + ${opt.label} + ${currentSort === opt.val ? 'check' : ''} + `; + item.addEventListener('click', () => { + currentSort = opt.val; + UrlState.patch({ sort: opt.val }); + updateSearchSortUI(); + renderTrackList(); + popup.remove(); + }); + popup.appendChild(item); + }); + + const rect = anchorEl.getBoundingClientRect(); + popup.style.top = `${rect.bottom + 5}px`; + popup.style.left = `${rect.left}px`; + document.body.appendChild(popup); + + const close = (e: MouseEvent) => { + if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) { + popup.remove(); + document.removeEventListener('click', close); + } + }; + setTimeout(() => document.addEventListener('click', close), 0); +} + +function showMetricMenu(anchorEl: HTMLElement) { + document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove()); + + const popup = document.createElement('div'); + popup.className = 'metric-menu-popup'; + + const metrics = ChartView.METRICS; + const available = ChartView.getAvailableMetrics(); + const active = ChartView.getActiveMetrics(); + + Object.entries(metrics).forEach(([key, def]) => { + if (!available.has(key)) return; + + const item = document.createElement('div'); + item.className = `menu-item ${active.has(key) ? 'active' : ''}`; + item.innerHTML = ` + ${def.icon} + ${def.label} + ${active.has(key) ? 'check' : ''} + `; + item.addEventListener('click', () => { + ChartView.toggleMetric(key); + const isNowActive = ChartView.getActiveMetrics().has(key); + item.classList.toggle('active', isNowActive); + item.querySelector('.check')!.textContent = isNowActive ? 'check' : ''; + + const pill = document.querySelector(`#metric-pills .metric-pill[data-metric="${key}"]`); + if (pill) pill.classList.toggle('active', isNowActive); + + updateToolbarLayout(); + + syncMetricsToUrl(); + }); + popup.appendChild(item); + }); + + const rect = anchorEl.getBoundingClientRect(); + popup.style.top = `${rect.bottom + 5}px`; + popup.style.right = `${window.innerWidth - rect.right}px`; + document.body.appendChild(popup); + + const close = (e: MouseEvent) => { + if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) { + popup.remove(); + document.removeEventListener('click', close); + } + }; + setTimeout(() => document.addEventListener('click', close), 0); +} + +// ── Tab Management ──────────────────────────────────────────────── +document.addEventListener('select-track', (e: any) => { + const id = e.detail.id; + const idx = e.detail.idx; + const dur = e.detail.dur; + if (id && tracks[id]) { + selectTrack(id); + if (idx != null && dur != null) { + const t = tracks[id]; + const pts = t.points; + if (idx >= 0 && idx < pts.length) { + const pIdx = pts[idx]; + if (pIdx && pIdx.time != null) { + const t0 = pts.find((p) => p.time != null)?.time || 0; + const tMin = (pIdx.time - t0) / 1000; + const tMax = tMin + dur; + + // ChartView selection + ChartView.restoreSelection(tMin, tMax); + + // Find iMax based on duration + let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000); + if (iMax === -1) iMax = pts.length - 1; + + const selPts = pts.slice(idx, iMax + 1); + const stats = Parsers.computeStats(selPts); + ChartView.setSelectionStats(stats); + + renderInsights(t); + + MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors); + MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number])); + + // Update URL state + UrlState.patch({ sel: [tMin, tMax] }); + } + } + } + } +}); + +document.addEventListener('click', (e) => { + const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement; + if (!btn) return; + const nav = btn.closest('#tab-nav'); + if (!nav) return; + + // Toggle buttons + nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn)); + + const tab = btn.dataset.tab!; + UrlState.patch({ tab }, true); + + // Toggle contents + const panel = nav.closest('#chart-panel'); + if (panel) { + panel.querySelectorAll('.tab-content').forEach((c) => { + c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`); + }); + } + + if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId]) + renderDetails(tracks[selectedId], getGlobalTags()); + + if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId]) + renderInsights(tracks[selectedId]); + + if (btn.dataset.tab === 'evolution') { + renderEvolution( + selectedId ? tracks[selectedId] : null, + Object.values(tracks), + (trackId, range) => { + selectTrack(trackId, true); + if (range) { + ChartView.restoreSelection(range[0], range[1]); + onChartRangeChange(range[0], range[1], 'time', true); + } + }, + (start, end) => { + filters.date = [start, end]; + applyFilters(); + syncFiltersToUrl(true); + updateFilterUI(); + }, + ); + } + + if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId]) + renderCombined(tracks[selectedId]); + + if (btn.dataset.tab === 'courses') renderCourses(); + + if (btn.dataset.tab === 'graphs') { + ChartView.resize(); + updateToolbarLayout(); + + // Restore selection from URL + const s = UrlState.get().sel; + if (s) ChartView.restoreSelection(s[0], s[1]); + } +}); + +async function resetBenchmarkState() { + if (typeof (window as any).__resetBenchmarkSeed === 'function') { + (window as any).__resetBenchmarkSeed(); + } + await Storage.clear(); + tracks = {}; + skippedImports = []; + selectedId = null; + colorIdx = 0; + currentMapColors = null; + cancelProcessing = false; + followDot = false; + searchQuery = ''; + searchRegex = false; + currentSort = 'date-desc'; + filters.date = [null, null]; + filters.dist = [null, null]; + filters.dur = [null, null]; + filters.metrics.clear(); + filters.tags = []; + Parsers.setHRZones([120, 140, 160, 180]); + Parsers.setFTP(200); + resetCourses(); + resetInsights(); + resetDetails(); + resetCombined(); + resetEvolution(); + if (MapView.removeAllTracks) MapView.removeAllTracks(); + if (MapView.clearTracks) MapView.clearTracks(); + MapView.clearHighlight(); + if (ChartView.resetState) ChartView.resetState(); + else if (ChartView.clear) ChartView.clear(); + document.querySelectorAll('.tab-btn').forEach((b) => { + b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs'); + }); + document.querySelectorAll('.tab-content').forEach((c) => { + c.classList.toggle('active', c.id === 'tab-graphs'); + }); + UrlState.reset(); + const toastContainer = document.getElementById('toast-container'); + if (toastContainer) toastContainer.innerHTML = ''; + document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove()); + if (typeof renderTrackList === 'function') renderTrackList(); +} + +// ── Boot ────────────────────────────────────────────────────────── +async function init() { + // Wait for fonts to be loaded with a cleaned-up timeout + let fontTimerId: number | null = null; + const fontTimeout = new Promise((resolve) => { + fontTimerId = window.setTimeout(resolve, 1000); + }); + try { + const fontLoadPromise = document.fonts + ? Promise.all([ + document.fonts.load('24px "Material Symbols Rounded"').catch(() => {}), + document.fonts.ready, + ]) + : Promise.resolve(); + await Promise.race([fontLoadPromise, fontTimeout]); + } finally { + if (fontTimerId !== null) window.clearTimeout(fontTimerId); + } + document.body.classList.remove('loading-fonts'); + const storageSelect = document.getElementById( + 'storage-backend-select', + ) as HTMLSelectElement | null; + if (storageSelect) { + storageSelect.value = UrlState.get().storage || 'memory'; + storageSelect.addEventListener('change', (e) => { + const selected = (e.target as HTMLSelectElement).value; + const params = new URLSearchParams(window.location.search); + if (selected === 'memory') { + params.delete('storage'); + } else { + params.set('storage', selected); + } + window.location.search = params.toString(); + }); + } + + const loader = document.getElementById('global-loader'); + const loaderText = document.getElementById('loader-text'); + const loaderSubtext = document.getElementById('loader-subtext'); + const progressBar = document.getElementById('loader-progress-bar') as HTMLElement; + const mapLoader = document.getElementById('map-loader'); + const mapLoaderSpan = mapLoader?.querySelector('span'); + + if (mapLoader) { + if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...'; + mapLoader.classList.remove('hidden'); + } + + const urlState = UrlState.get(); + + initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info')); + initDetails( + () => { + applyFilters(); + syncFiltersToUrl(); + }, + (id: string) => { + deleteTrack(id); + }, + ); + initCombined(); + initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info')); + + // Init sub-systems + MapView.init( + (id) => selectTrack(id), + onMapMove, + onMapPointClick, + (id, idx) => { + if (id === selectedId) ChartView.setHoverAt(idx); + else ChartView.setHoverAt(null); + }, + onMapDblClick, + ); + ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => { + UrlState.patch({ sel_point: idx }); + }); + + ChartView.setMapColorChangeCb((data) => { + if (data) { + currentMapColors = data.colors; + if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors); + } else { + currentMapColors = null; + if (selectedId) MapView.clearMetricColor(selectedId); + } + + // Refresh highlight with new colors if a selection exists + const currentUrlState = UrlState.get(); + if (currentUrlState.sel) + onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis()); + }); + + applyState(urlState); + + // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions + await Storage.openDB(); + await resetBenchmarkState(); + + // Load persisted tracks + try { + // Load global settings + const hrZones = await Storage.get('hr_zones'); + if (hrZones) Parsers.setHRZones(hrZones); + + const ftp = await Storage.get('ftp'); + if (ftp) Parsers.setFTP(ftp); + + const saved = await Storage.getAll(); + saved.sort((a, b) => a.addedAt - b.addedAt); + + if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`; + + const tracksToLoad: TrackData[] = []; + for (const t of saved) { + let updated = false; + if (!t.bounds && t.points.length > 0) { + const b = calculateBounds(t.points); + if (b) { + t.bounds = b; + updated = true; + } + } + if (!t.simplifiedPoints && t.points.length > 0) { + t.simplifiedPoints = simplifyTrack(t.points, 50); + updated = true; + } + if (updated) await Storage.save(t); + + tracks[t.id] = t; + tracksToLoad.push(t); + } + MapView.addTracks(tracksToLoad); + applyFilters(); + + const restoreId = + urlState.track && saved.find((t) => t.id === urlState.track) + ? urlState.track + : saved.length > 0 + ? saved[0].id + : null; + + const mapLoader = document.getElementById('map-loader'); + + // 1. Process and load the "Priority" track first + const selectedTrackData = saved.find((t) => t.id === restoreId); + if (selectedTrackData) { + await processAndLoadTrack(selectedTrackData); + selectTrack(selectedTrackData.id, !urlState.map_pos); + + // Explicitly restore selection/pin from URL if they exist + if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) { + requestAnimationFrame(() => { + requestAnimationFrame(() => { + ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]); + }); + }); + } + if (urlState.sel_point !== undefined && urlState.sel_point !== null) { + requestAnimationFrame(() => { + requestAnimationFrame(() => { + ChartView.setCursorAt(urlState.sel_point!); + }); + }); + } + } + + // Hide database loader + if (mapLoader) mapLoader.classList.add('hidden'); + + // 2. Load the rest in background chunks + if (saved.length > (selectedTrackData ? 1 : 0)) { + if (mapLoader) { + if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...'; + mapLoader.classList.remove('hidden'); + } + + const remaining = saved.filter((t) => t.id !== restoreId); + let index = 0; + + const loadNextChunk = async () => { + const chunkSize = 2; // Process 2 tracks per frame + const end = Math.min(index + chunkSize, remaining.length); + + for (; index < end; index++) await processAndLoadTrack(remaining[index]); + + if (index < remaining.length) { + requestAnimationFrame(loadNextChunk); + } else { + if (mapLoader) mapLoader.classList.add('hidden'); + applyFilters(); // Final sync + if (selectedId && tracks[selectedId]) { + renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => { + selectTrack(trackId, true); + if (range) { + ChartView.restoreSelection(range[0], range[1]); + onChartRangeChange(range[0], range[1], 'time', true); + } + }); + } + // Only fit all if no saved map position and we just finished loading everything + if (saved.length && !urlState.map_pos) MapView.fitAll(); + } + }; + + requestAnimationFrame(loadNextChunk); + } else { + applyFilters(); + if (saved.length && !urlState.map_pos) MapView.fitAll(); + } + } catch (e) { + console.warn('Could not load saved tracks:', e); + } + + // Panel resizers + initResizeHandle(); + initSidebarResizer(); + initMetricPillDraggable(); + updateToolbarLayout(); + + // Basemap switcher + document.getElementById('basemap-switcher')?.addEventListener('click', (e) => { + const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement; + if (!btn) return; + document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active')); + btn.classList.add('active'); + if (btn.dataset.layer) { + MapView.switchBasemap(btn.dataset.layer); + UrlState.patch({ map: btn.dataset.layer }); + } + }); + + // Fit all + document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll()); + + // Clear all + document.getElementById('btn-clear-all')?.addEventListener('click', clearAll); + + // Search + document.getElementById('track-search')?.addEventListener('input', (e) => { + searchQuery = (e.target as HTMLInputElement).value; + applyFilters(); + UrlState.patch({ q: searchQuery || null }); + }); + + document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => { + searchRegex = !searchRegex; + (e.target as HTMLElement).classList.toggle('active', searchRegex); + applyFilters(); + UrlState.patch({ re: searchRegex ? 1 : null }); + }); + + // Sort + document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => { + e.stopPropagation(); + showSortMenu(e.currentTarget as HTMLElement); + }); + + // Metric menu toggle + document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => { + e.stopPropagation(); + showMetricMenu(e.currentTarget as HTMLElement); + }); + + // Metric toggles (shared logic) + const toggleMetric = (metric: string, pill: HTMLElement | null) => { + if (pill) pill.classList.toggle('active'); + ChartView.toggleMetric(metric); + syncMetricsToUrl(); + }; + + document.getElementById('metric-pills')?.addEventListener('click', (e) => { + const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement; + if (pill) { + const metric = pill.dataset.metric; + if (metric) { + toggleMetric(metric, pill); + + // Scroll to it if it became active + if (ChartView.getActiveMetrics().has(metric)) { + const targetEl = document.querySelector(`.chart-row[data-metric="${metric}"]`); + targetEl?.scrollIntoView({ behavior: 'smooth' }); + } + } + } + }); + + // X-axis toggle + document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => { + const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement; + if (!btn) return; + const axis = btn.dataset.axis!; + ChartView.setXAxis(axis); + document + .querySelectorAll('#x-axis-ctrl .seg-btn') + .forEach((b) => b.classList.toggle('active', b === btn)); + UrlState.patch({ xaxis: axis }); + }); + + // Follow dot + document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => { + followDot = !followDot; + (e.currentTarget as HTMLElement).classList.toggle('active', followDot); + }); + + // Reset zoom + document.getElementById('btn-reset-zoom')?.addEventListener('click', () => { + ChartView.resetZoom(); + MapView.clearHighlight(); + }); + + // File drag/drop + initDropZone(); + + // File browse + document.getElementById('file-input')?.addEventListener('change', (e) => { + handleFiles(Array.from((e.target as HTMLInputElement).files || [])); + (e.target as HTMLInputElement).value = ''; + }); + document.getElementById('folder-input')?.addEventListener('change', (e) => { + handleFiles(Array.from((e.target as HTMLInputElement).files || [])); + (e.target as HTMLInputElement).value = ''; + }); + + // Filters + document.getElementById('btn-toggle-filters')?.addEventListener('click', () => { + const panel = document.getElementById('filter-panel'); + if (panel) { + panel.classList.toggle('hidden'); + document + .getElementById('btn-toggle-filters') + ?.classList.toggle('active', !panel.classList.contains('hidden')); + } + }); + + const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => { + const val = (e.target as HTMLInputElement).value; + (filters[type] as any)[idx] = val === '' ? null : val; + applyFilters(); + syncFiltersToUrl(); + }; + + document + .getElementById('filter-date-start') + ?.addEventListener('change', (e) => onFilterInput('date', 0, e)); + document + .getElementById('filter-date-end') + ?.addEventListener('change', (e) => onFilterInput('date', 1, e)); + document + .getElementById('filter-dist-min') + ?.addEventListener('input', (e) => onFilterInput('dist', 0, e)); + document + .getElementById('filter-dist-max') + ?.addEventListener('input', (e) => onFilterInput('dist', 1, e)); + document + .getElementById('filter-dur-min') + ?.addEventListener('input', (e) => onFilterInput('dur', 0, e)); + document + .getElementById('filter-dur-max') + ?.addEventListener('input', (e) => onFilterInput('dur', 1, e)); + + const burgerBtn = document.getElementById('sport-burger-btn'); + const dropdownContent = document.getElementById('sport-dropdown-content'); + burgerBtn?.addEventListener('click', (e) => { + e.stopPropagation(); + if (dropdownContent) { + const isVisible = dropdownContent.style.display === 'block'; + dropdownContent.style.display = isVisible ? 'none' : 'block'; + } + }); + + document.addEventListener('click', (e) => { + if (dropdownContent && dropdownContent.style.display === 'block') { + if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn) + dropdownContent.style.display = 'none'; + } + }); + + document.getElementById('sport-filter-container')?.addEventListener('click', (e) => { + const target = e.target as HTMLElement; + const btn = target.closest('[data-sport]'); + if (btn) { + const selectedSport = (btn as HTMLElement).dataset.sport || null; + filters.sport = filters.sport === selectedSport ? null : selectedSport; + applyFilters(); + syncFiltersToUrl(); + updateFilterUI(); + + if (target.closest('.dropdown-item')) { + if (dropdownContent) dropdownContent.style.display = 'none'; + } + } + }); + + document.getElementById('filter-metrics')?.addEventListener('click', (e) => { + const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement; + if (!btn) return; + const m = btn.dataset.metric!; + if (filters.metrics.has(m)) filters.metrics.delete(m); + else filters.metrics.add(m); + updateFilterUI(); + applyFilters(); + syncFiltersToUrl(); + }); + + document.getElementById('btn-reset-filters')?.addEventListener('click', () => { + filters = { + date: [null, null], + dist: [null, null], + dur: [null, null], + metrics: new Set(), + tags: [], + sport: null, + }; + updateFilterUI(); + applyFilters(); + syncFiltersToUrl(); + }); + + document.getElementById('filter-tags')?.addEventListener('input', (e) => { + const val = (e.target as HTMLInputElement).value; + filters.tags = val + .split(',') + .map((s) => s.trim().toLowerCase()) + .filter((s) => !!s); + applyFilters(); + syncFiltersToUrl(); + }); + + // Keyboard shortcuts + document.addEventListener('keydown', (e) => { + if (e.key === 'Escape') { + MapView.hideCursor(); + MapView.closePopup?.(); + // Dismiss popups and modals + document + .querySelectorAll( + '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop', + ) + .forEach((el) => el.remove()); + } + }); + + // Resize charts when window changes + window.addEventListener('resize', () => { + ChartView.resize(); + resizeCombined(); + MapView.invalidateSize?.(); + updateToolbarLayout(); + }); + + // Handle back/forward navigation + window.addEventListener('popstate', () => { + UrlState.refresh(); + applyState(UrlState.get()); + }); + + initBenchmarkTriggers(); + await preloadBenchmarkFiles(); + + // Signal to Speedometer test harness that asynchronous initialization has completed + // and benchmark step triggers are bound. + const readyEl = document.createElement('div'); + readyEl.id = 'app-is-ready'; + readyEl.setAttribute('data-ready', 'true'); + readyEl.style.display = 'none'; + document.body.appendChild(readyEl); + + const camelReadyEl = document.createElement('div'); + camelReadyEl.id = 'appIsReady'; + camelReadyEl.setAttribute('data-ready', 'true'); + camelReadyEl.style.display = 'none'; + document.body.appendChild(camelReadyEl); +} + +let preloadedBenchmarkPayloads: + | { + cleanName: string; + buf: ArrayBuffer; + text?: string; + file: File; + }[] + | null = null; + +async function preloadBenchmarkFiles(): Promise< + { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[] +> { + if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads; + try { + const manifestResp = await fetch('./test-data/manifest.json'); + const fileNames: string[] = await manifestResp.json(); + const decoder = new TextDecoder(); + preloadedBenchmarkPayloads = await Promise.all( + fileNames.map(async (name) => { + const fileResp = await fetch(`./test-data/${name}`); + let buf = await fileResp.arrayBuffer(); + let cleanName = name; + if (name.toLowerCase().endsWith('.gz')) { + cleanName = name.slice(0, -3); + const bytes = new Uint8Array(buf); + if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) { + const ds = new DecompressionStream('gzip'); + const stream = new Blob([buf]).stream().pipeThrough(ds); + buf = await new Response(stream).arrayBuffer(); + } + } + const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf); + const file = new File([buf], cleanName, { type: 'application/octet-stream' }); + (file as any)._buf = buf; + if (text !== undefined) (file as any)._text = text; + return { cleanName, buf, text, file }; + }), + ); + // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase + let warmSample: any = null; + for (const idx of [0, 2, 4]) { + if (preloadedBenchmarkPayloads[idx]) { + const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file); + if (idx === 0) warmSample = parsed; + } + } + if (warmSample) { + const warmPts = warmSample.points.slice(0, 60); + const warmTrack: TrackData = { + ...warmSample, + id: 'warmup', + fileName: 'warmup.gpx', + fileSize: 1024, + points: warmPts, + stats: Parsers.computeStats(warmPts), + addedAt: 1785542400000, + visible: true, + color: TRACK_COLORS[0], + }; + Parsers.ensureCurvesAndZones(warmTrack); + ChartView.loadTrack(warmTrack, [warmTrack], false); + ChartView.setActiveMetrics(['elevation', 'speed', 'power']); + renderInsights(warmTrack); + renderEvolution(warmTrack, [warmTrack]); + await resetBenchmarkState(); + void document.body.offsetHeight; + await new Promise((r) => window.setTimeout(r, 0)); + } else if (typeof (window as any).__resetBenchmarkSeed === 'function') { + (window as any).__resetBenchmarkSeed(); + } + return preloadedBenchmarkPayloads; + } catch { + return []; + } +} + +function initBenchmarkTriggers() { + const btnLoad = document.getElementById('btn-step-load'); + const btnAnalysis = document.getElementById('btn-step-analysis'); + const btnInsights = document.getElementById('btn-step-insights'); + const btnDetails = document.getElementById('btn-step-details'); + const btnAggregate = document.getElementById('btn-step-aggregate'); + const btnEvolution = document.getElementById('btn-step-evolution'); + const btnCourses = document.getElementById('btn-step-courses'); + + function activateTab(tabName: string) { + document.querySelectorAll('.tab-btn').forEach((b) => { + b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName); + }); + document.querySelectorAll('.tab-content').forEach((c) => { + c.classList.toggle('active', c.id === `tab-${tabName}`); + }); + UrlState.patch({ tab: tabName }, false); + } + + btnLoad?.addEventListener('click', async () => { + try { + if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) { + await Storage.openDB(); + await resetBenchmarkState(); + } else if (typeof (window as any).__resetBenchmarkSeed === 'function') { + (window as any).__resetBenchmarkSeed(); + } + const payloads = await preloadBenchmarkFiles(); + const loadedFiles: File[] = payloads.map((p) => p.file); + await handleFiles(loadedFiles); + const allTracks = Object.values(tracks); + if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id); + } finally { + window.dispatchEvent(new CustomEvent('load-and-parse-complete')); + } + }); + + btnAnalysis?.addEventListener('click', () => { + try { + const allTracks = Object.values(tracks); + activateTab('graphs'); + if (!selectedId && allTracks.length > 0) { + selectTrack(allTracks[0].id); + } + ChartView.restoreSelection(120, 900, true); + ChartView.setCursorAt(300, true); + const availableMetrics = ChartView.getAvailableMetrics(); + const analysisMetrics = ['elevation', 'speed', 'power'].filter((m) => + availableMetrics.has(m), + ); + if (analysisMetrics.length > 0) { + document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => { + const metric = (el as HTMLElement).dataset.metric; + if (metric) el.classList.toggle('active', analysisMetrics.includes(metric)); + }); + updateToolbarLayout(); + ChartView.setActiveMetrics(analysisMetrics); + } else { + updateToolbarLayout(); + } + onChartRangeChange(120, 900, ChartView.getXAxis(), false); + } finally { + window.dispatchEvent(new CustomEvent('analysis-complete')); + } + }); + + btnInsights?.addEventListener('click', () => { + try { + const allTracks = Object.values(tracks); + allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t)); + activateTab('insights'); + const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null; + renderInsights(primaryTrack); + } finally { + window.dispatchEvent(new CustomEvent('insights-complete')); + } + }); + + btnDetails?.addEventListener('click', () => { + try { + const allTracks = Object.values(tracks); + activateTab('details'); + const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null; + renderDetails(primaryTrack, getGlobalTags()); + } finally { + window.dispatchEvent(new CustomEvent('details-complete')); + } + }); + + btnAggregate?.addEventListener('click', () => { + try { + const allTracks = Object.values(tracks); + if (allTracks.length >= 2) { + const selectedTwo = [allTracks[0], allTracks[1]]; + activateTab('combined'); + renderCombined(selectedTwo); + resizeCombined(); + } + } finally { + window.dispatchEvent(new CustomEvent('aggregate-complete')); + } + }); + + btnEvolution?.addEventListener('click', () => { + try { + const allTracks = Object.values(tracks); + activateTab('evolution'); + const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null; + renderEvolution(primaryTrack, allTracks, (trackId, range) => { + selectTrack(trackId, true); + if (range) { + ChartView.restoreSelection(range[0], range[1]); + onChartRangeChange(range[0], range[1], 'time', true); + } + }); + } finally { + window.dispatchEvent(new CustomEvent('evolution-complete')); + } + }); + + btnCourses?.addEventListener('click', () => { + try { + const allTracks = Object.values(tracks); + activateTab('courses'); + prepareBenchmarkCourses(allTracks); + renderCourses(); + selectCourse('course-1', true); + } finally { + window.dispatchEvent(new CustomEvent('courses-complete')); + } + }); + + (window as any).benchmarkSteps = { + loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(), + displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(), + displayInsights: () => document.getElementById('btn-step-insights')?.click(), + displayDetails: () => document.getElementById('btn-step-details')?.click(), + displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(), + displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(), + displayCourses: () => document.getElementById('btn-step-courses')?.click(), + }; +} + +async function processAndLoadTrack(t: TrackData) { + // Migration: re-calculate stats if new insights are missing or old format + const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : []; + + const needsEnrich = + t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined); + + const needsRecalc = + needsEnrich || + !t.stats.powerCurve || + !t.stats.hrZones || + !t.stats.hrCurve || + t.stats.shifts === undefined || + t.stats.avgBattery === undefined || + t.stats.avgTemp === undefined || + (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') || + ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]); + + if (needsRecalc) { + if (needsEnrich) t.points = Parsers.enrichPoints(t.points); + t.stats = Parsers.computeStats(t.points); + await Storage.save(t); + } + + tracks[t.id] = t; + colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1); + MapView.addTrack(t); + MapView.setTrackVisible(t.id, t.visible && !t._filtered); + renderTrackList(); // Progressive list update +} + +function initResizeHandle() { + const handle = document.getElementById('resize-handle'); + const panel = document.getElementById('chart-panel'); + if (!handle || !panel) return; + + let isDragging = false; + + handle.addEventListener('mousedown', () => { + isDragging = true; + document.body.style.cursor = 'ns-resize'; + }); + + document.addEventListener('mousemove', (e) => { + if (!isDragging) return; + const h = window.innerHeight - e.clientY; + const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h)); + panel.style.height = `${clampedH}px`; + ChartView.resize(); + resizeCombined(); + MapView.invalidateSize?.(); + }); + + document.addEventListener('mouseup', () => { + if (!isDragging) return; + isDragging = false; + document.body.style.cursor = ''; + }); +} + +function initSidebarResizer() { + const resizer = document.getElementById('sidebar-resizer'); + const sidebar = document.getElementById('sidebar'); + if (!resizer || !sidebar) return; + + let isDragging = false; + + resizer.addEventListener('mousedown', () => { + isDragging = true; + resizer.classList.add('dragging'); + document.body.classList.add('dragging-sidebar'); + }); + + document.addEventListener('mousemove', (e) => { + if (!isDragging) return; + const w = e.clientX; + const clampedW = Math.max(200, Math.min(600, w)); + sidebar.style.width = `${clampedW}px`; + sidebar.style.setProperty('--sidebar-w', `${clampedW}px`); + ChartView.resize(); + MapView.invalidateSize?.(); + }); + + document.addEventListener('mouseup', () => { + if (!isDragging) return; + isDragging = false; + resizer.classList.remove('dragging'); + document.body.classList.remove('dragging-sidebar'); + }); +} + +// ── Event Handlers ────────────────────────────────────────────── + +function onMapMove(lat: number, lng: number, zoom: number) { + UrlState.patch({ map_pos: [lat, lng, zoom] }); +} + +function onMapPointClick(id: string, idx: number) { + selectTrack(id, false); + ChartView.setCursorAt(idx); +} + +function onMapDblClick() { + // MapView.fitAll(); +} + +function onChartCursorMove(pt: TrackPoint | null) { + if (pt && pt.lat != null && pt.lon != null) { + MapView.showCursorAt(pt.lat, pt.lon); + if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true); + } else { + MapView.hideCursor(); + } +} + +function onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) { + if (!selectedId || !tracks[selectedId]) return; + const t = tracks[selectedId]; + + if (min === null || max === null) { + MapView.clearHighlight(); + if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t); + UrlState.patch({ sel: null }); + return; + } + + // Find point indices + const pts = t.points; + let iMin = 0, + iMax = pts.length - 1; + + if (axis === 'distance') { + const d0 = min * 1000, + d1 = max * 1000; + iMin = pts.findIndex((p) => (p.dist || 0) >= d0); + iMax = pts.findIndex((p) => (p.dist || 0) >= d1); + } else { + const t0 = pts.find((p) => p.time != null)?.time || 0; + const ts0 = t0 + min * 1000, + ts1 = t0 + max * 1000; + iMin = pts.findIndex((p) => (p.time || 0) >= ts0); + iMax = pts.findIndex((p) => (p.time || 0) >= ts1); + } + + if (iMin === -1) iMin = 0; + if (iMax === -1) iMax = pts.length - 1; + + // Compute selection stats + const selPts = pts.slice(iMin, iMax + 1); + const stats = Parsers.computeStats(selPts); + ChartView.setSelectionStats(stats); + if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t); + + MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors); + MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number])); + UrlState.patch({ sel: [min, max] }); +} + +function onChartClick(pt: TrackPoint, idx: number) { + if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL); +} + +export function selectTrack(id: string, fit = true, deferChartRender = false) { + if (!tracks[id]) return; + if (id === selectedId) { + if (fit) MapView.fitTrack(id); + return; + } + + const hadSelected = selectedId !== null; + if (hadSelected) { + // Clear current views immediately before loading new data + ChartView.clear(); + renderDetails(null, []); + renderInsights(null); + } + + selectedId = id; + + // Fully reset metric coloring when switching tracks + currentMapColors = null; + MapView.clearMetricColor(id); + if (hadSelected) { + ChartView.toggleMapColor(null); // Ensure ChartView state also resets + } + + // Clear selection on new track + UrlState.patch({ track: id, sel: null }, true); + if (hadSelected) { + ChartView.cancelSelection(); + } + + // Update UI immediately + renderTrackList(); + + // Render details + const activeTab = UrlState.get().tab || 'graphs'; + if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags()); + if (activeTab === 'insights') renderInsights(tracks[id]); + if (activeTab === 'combined') renderCombined(tracks[id]); + if (activeTab === 'courses') renderCourses(); + if (activeTab === 'evolution') { + renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => { + selectTrack(trackId, true); + if (range) { + ChartView.restoreSelection(range[0], range[1]); + onChartRangeChange(range[0], range[1], 'time', true); + } + }); + } + + // Tell sub-views + MapView.setSelectedTrack(id, fit); + if (fit) MapView.fitTrack(id); + ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender); +} + +async function deleteTrack(id: string) { + await Storage.remove(id); + MapView.removeTrack(id); + delete tracks[id]; + if (selectedId === id) { + selectedId = null; + ChartView.clear(); + renderDetails(null, []); + renderInsights(null); + UrlState.patch({ track: null, sel: null, sel_point: null }); + } + applyFilters(); +} + +async function clearAll() { + const code = Math.floor(10 + Math.random() * 90).toString(); + + const backdrop = document.createElement('div'); + backdrop.className = 'modal-backdrop'; + + backdrop.innerHTML = ` +
+
Delete all tracks?
+
+ This will permanently remove all tracks from your browser storage. This action cannot be undone. +
+
+
Enter "${code}" to confirm:
+ +
+
+ + +
+
+ `; + + document.body.appendChild(backdrop); + + const input = backdrop.querySelector('.modal-input') as HTMLInputElement; + const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement; + const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement; + + input.focus(); + + input.addEventListener('input', () => { + btnConfirm.disabled = input.value !== code; + }); + + const close = () => backdrop.remove(); + + btnCancel.addEventListener('click', close); + backdrop.addEventListener('click', (e) => { + if (e.target === backdrop) close(); + }); + + btnConfirm.addEventListener('click', async () => { + if (input.value !== code) return; + close(); + + cancelProcessing = true; + await Storage.clear(); + + tracks = {}; + selectedId = null; + MapView.clearHighlight(); + window.location.reload(); + }); +} + +function applyFilters(skipRender = false) { + const ids = Object.keys(tracks); + ids.forEach((id) => { + const t = tracks[id]; + const s = t.stats; + let visible = true; + + // Search query + if (searchQuery) { + if (searchRegex) { + try { + const re = new RegExp(searchQuery, 'i'); + if (!re.test(t.name)) visible = false; + } catch (e) { + visible = false; + } + } else { + if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false; + } + } + + // Date filter + if (visible && (filters.date[0] || filters.date[1])) { + const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0; + const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity; + const t0 = s.startTime || 0; + if (t0 < start || t0 > end) visible = false; + } + + // Distance filter + if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) { + const min = (filters.dist[0] || 0) * 1000; + const max = (filters.dist[1] || Infinity) * 1000; + if (s.totalDist < min || s.totalDist > max) visible = false; + } + + // Duration filter + if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) { + const min = (filters.dur[0] || 0) * 60000; + const max = (filters.dur[1] || Infinity) * 60000; + const d = s.duration || 0; + if (d < min || d > max) visible = false; + } + + // Metrics filter + if (visible && filters.metrics.size > 0) { + for (const m of filters.metrics) { + const field = ChartView.METRICS[m].field; + if (!t.points.some((p: any) => p[field] != null)) { + visible = false; + break; + } + } + } + + // Sport filter + if (visible && filters.sport) { + if (t.sport !== filters.sport) visible = false; + } + + // Tags filter + if (visible && filters.tags.length > 0) { + const trackTags = t.tags || []; + if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false; + } + + t._filtered = !visible; + MapView.setTrackVisible(t.id, t.visible && visible); + }); + + if (!skipRender) renderTrackList(); +} + +function updateFilterUI() { + (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || ''; + (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || ''; + (document.getElementById('filter-dist-min') as HTMLInputElement).value = + filters.dist[0] !== null ? String(filters.dist[0]) : ''; + (document.getElementById('filter-dist-max') as HTMLInputElement).value = + filters.dist[1] !== null ? String(filters.dist[1]) : ''; + (document.getElementById('filter-dur-min') as HTMLInputElement).value = + filters.dur[0] !== null ? String(filters.dur[0]) : ''; + (document.getElementById('filter-dur-max') as HTMLInputElement).value = + filters.dur[1] !== null ? String(filters.dur[1]) : ''; + (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', '); + + document + .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item') + .forEach((el) => { + const item = el as HTMLElement; + item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || '')); + }); + + document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => { + const btn = el as HTMLElement; + btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!)); + }); + + const activeCount = + (filters.date[0] ? 1 : 0) + + (filters.date[1] ? 1 : 0) + + (filters.dist[0] !== null ? 1 : 0) + + (filters.dist[1] !== null ? 1 : 0) + + (filters.dur[0] !== null ? 1 : 0) + + (filters.dur[1] !== null ? 1 : 0) + + filters.metrics.size + + (filters.tags.length > 0 ? 1 : 0); + + const badge = document.querySelector('#btn-toggle-filters .btn-badge'); + if (badge) { + badge.textContent = activeCount > 0 ? String(activeCount) : ''; + badge.classList.toggle('hidden', activeCount === 0); + } +} + +function updateSearchSortUI() { + const searchInput = document.getElementById('track-search') as HTMLInputElement; + if (searchInput) searchInput.value = searchQuery; + document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex); + + const opt = SORT_OPTIONS.find((o) => o.val === currentSort); + if (opt) { + const labelEl = document.getElementById('sort-current-label'); + const iconEl = document.getElementById('sort-current-icon'); + if (labelEl) + labelEl.textContent = opt.label + .replace(' first', '') + .replace(' distance', '') + .replace(' duration', ''); + if (iconEl) iconEl.textContent = opt.icon; + } +} + +function applyState(urlState: AppState) { + // Restore track + const newTrackId = urlState.track; + if (newTrackId !== selectedId) { + if (newTrackId && tracks[newTrackId]) { + selectTrack(newTrackId, true); + } else if (!newTrackId && selectedId) { + selectedId = null; + ChartView.clear(); + renderDetails(null, []); + renderInsights(null); + renderTrackList(); + MapView.fitAll(); + } + } + + // Restore basemap + if (urlState.map && typeof urlState.map === 'string') { + MapView.switchBasemap(urlState.map); + document + .querySelectorAll('.bm-btn') + .forEach((b) => + b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map), + ); + } + + // Restore map position + if (urlState.map_pos) { + const [lat, lng, zoom] = urlState.map_pos; + MapView.setPosition(lat, lng, zoom); + } + + // Restore tab + if (urlState.tab) { + document.querySelectorAll('.tab-btn').forEach((btn) => { + const b = btn as HTMLElement; + if (b.dataset.tab === urlState.tab) { + if (!b.classList.contains('active')) b.click(); + } + }); + } + + // Restore x-axis mode + if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis); + + const currentXAxis = urlState.xaxis || 'time'; + document + .querySelectorAll('#x-axis-ctrl .seg-btn') + .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis)); + + // Restore active metrics + if (urlState.metrics) { + const metrics = ChartView.METRICS; + const keys = urlState.metrics + .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr)) + .filter((k): k is string => k !== undefined); + if (keys.length) ChartView.setActiveMetrics(keys); + } + + // Restore filters + if (urlState.f_date) + filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null]; + if (urlState.f_dist) + filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [ + number | null, + number | null, + ]; + if (urlState.f_dur) + filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [ + number | null, + number | null, + ]; + if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets); + if (urlState.f_tags) filters.tags = urlState.f_tags; + + updateFilterUI(); + + if (urlState.q) searchQuery = urlState.q; + if (urlState.re) searchRegex = urlState.re; + if (urlState.sort) currentSort = urlState.sort; + updateSearchSortUI(); + + applyFilters(); +} + +function updateSportFilterOptions() { + const container = document.getElementById('sport-filter-container'); + if (!container) return; + + const commonContainer = document.getElementById('common-sports'); + const dropdownContent = document.getElementById('sport-dropdown-content'); + if (!commonContainer || !dropdownContent) return; + + const sports = new Set(); + Object.values(tracks).forEach((t) => { + if (t.sport) sports.add(t.sport); + }); + + const sportsArray = Array.from(sports).sort(); + const burgerDropdown = document.getElementById('sport-burger-dropdown'); + + commonContainer.innerHTML = ''; + dropdownContent.innerHTML = ''; + + if (sportsArray.length <= 4) { + if (burgerDropdown) burgerDropdown.style.display = 'none'; + + sportsArray.forEach((sport) => { + const btn = document.createElement('button'); + btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`; + btn.dataset.sport = sport; + btn.title = sport.charAt(0).toUpperCase() + sport.slice(1); + btn.innerHTML = `${getSportIcon(sport)}`; + commonContainer.appendChild(btn); + }); + } else { + if (burgerDropdown) burgerDropdown.style.display = 'inline-block'; + + const commonSports = ['running', 'cycling', 'walking']; + + commonSports.forEach((sport) => { + if (sports.has(sport)) { + const btn = document.createElement('button'); + btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`; + btn.dataset.sport = sport; + btn.title = sport.charAt(0).toUpperCase() + sport.slice(1); + btn.innerHTML = `${getSportIcon(sport)}`; + commonContainer.appendChild(btn); + } + }); + + sportsArray.forEach((sport) => { + const item = document.createElement('div'); + item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`; + item.dataset.sport = sport; + item.style.padding = '8px'; + item.style.cursor = 'pointer'; + item.style.display = 'flex'; + item.style.alignItems = 'center'; + item.style.gap = '8px'; + item.innerHTML = ` + ${getSportIcon(sport)} + ${sport.charAt(0).toUpperCase() + sport.slice(1)} + `; + dropdownContent.appendChild(item); + }); + } +} + +function renderTrackList() { + updateSportFilterOptions(); + const list = document.getElementById('track-list'); + const emptyEl = document.getElementById('track-list-empty') as HTMLElement; + const headerLabel = document.querySelector('.section-label'); + if (!list) return; + + const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered); + if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`; + + if (!ids.length) { + list.innerHTML = ''; + if (emptyEl) { + list.appendChild(emptyEl); + emptyEl.style.display = 'block'; + } + return; + } + if (emptyEl) emptyEl.style.display = 'none'; + list.innerHTML = ''; + + ids + .sort((a, b) => { + // Current selected always first + if (a === selectedId) return -1; + if (b === selectedId) return 1; + + const ta = tracks[a], + tb = tracks[b]; + const sa = ta.stats, + sb = tb.stats; + + let cmp = 0; + switch (currentSort) { + case 'date-asc': + cmp = (sa.startTime || 0) - (sb.startTime || 0); + break; + case 'date-desc': + cmp = (sb.startTime || 0) - (sa.startTime || 0); + break; + case 'dist-asc': + cmp = (sa.totalDist || 0) - (sb.totalDist || 0); + break; + case 'dist-desc': + cmp = (sb.totalDist || 0) - (sa.totalDist || 0); + break; + case 'dur-asc': + cmp = (sa.duration || 0) - (sb.duration || 0); + break; + case 'dur-desc': + cmp = (sb.duration || 0) - (sa.duration || 0); + break; + default: + cmp = 0; + } + return cmp || a.localeCompare(b); + }) + .forEach((id) => { + list.appendChild(buildTrackItem(tracks[id])); + }); +} + +function getGlobalTags(): string[] { + const all = new Set(); + Object.values(tracks).forEach((t) => { + (t.tags || []).forEach((tag) => all.add(tag)); + }); + return Array.from(all).sort(); +} + +function getSportIcon(sport: string | null): string { + if (!sport) return 'category'; + const s = sport.toLowerCase(); + if (s.includes('run')) return 'directions_run'; + if (s.includes('cycl') || s.includes('bike')) return 'directions_bike'; + if (s.includes('walk')) return 'directions_walk'; + if (s.includes('swim')) return 'pool'; + if (s.includes('hik')) return 'hiking'; + return 'sports'; +} + +function buildTrackItem(track: TrackData) { + const item = document.createElement('div'); + item.className = `track-item${track.id === selectedId ? ' selected' : ''}`; + item.dataset.id = track.id; + + const date = + track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date'; + + const tagsHtml = + (track.tags || []).length > 0 + ? `
${(track.tags || []) + .map((t) => { + const c = getTagColor(t); + return `${escHtml(t)}`; + }) + .join('')}
` + : ''; + + item.innerHTML = ` +
+
+
${escHtml(track.displayName || track.name)}
+
+
+ ${date} + ${Math.round(track.stats.totalDist / 1000)} km + ${track.sport ? `${getSportIcon(track.sport)}` : ''} + ${track.format.toUpperCase()} +
+ +
+ ${tagsHtml} +
+ `; + + item.addEventListener('click', (e) => { + if ((e.target as HTMLElement).closest('.icon-btn')) return; + selectTrack(track.id); + }); + + const btnVis = item.querySelector('.toggle-vis') as HTMLElement; + btnVis.addEventListener('click', () => { + track.visible = !track.visible; + btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible + ? 'visibility' + : 'visibility_off'; + MapView.setTrackVisible(track.id, track.visible); + Storage.save(track); + }); + + return item; +} + +function showToast(msg: string, type: 'info' | 'error' = 'info') { + const container = document.getElementById('toast-container'); + if (!container) return; + container.innerHTML = ''; + const t = document.createElement('div'); + t.className = `toast ${type}`; + t.textContent = msg; + container.appendChild(t); +} + +function showSkippedImportsModal() { + const backdrop = document.createElement('div'); + backdrop.className = 'modal-backdrop'; + + let listHtml = ''; + skippedImports.forEach((s) => { + listHtml += `
${s.name}: ${s.reason}
`; + }); + + backdrop.innerHTML = ` +
+
Skipped Imports
+
+ ${listHtml || '
No skipped imports.
'} +
+
+ + +
+
+ `; + + document.body.appendChild(backdrop); + + const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement; + const btnClear = backdrop.querySelector('.modal-btn.clear') as HTMLButtonElement; + const close = () => backdrop.remove(); + + btnCancel.addEventListener('click', close); + btnClear.addEventListener('click', () => { + skippedImports = []; + close(); + const importWarning = document.getElementById('import-warning'); + if (importWarning) importWarning.classList.add('hidden'); + }); + + backdrop.addEventListener('click', (e) => { + if (e.target === backdrop) close(); + }); +} + +function initDropZone() { + const zone = document.getElementById('drop-zone'); + if (!zone) return; + + const importWarning = document.getElementById('import-warning'); + if (importWarning) { + importWarning.addEventListener('click', (e) => { + e.stopPropagation(); + showSkippedImportsModal(); + }); + } + + window.addEventListener('dragover', (e) => { + e.preventDefault(); + zone.classList.add('drop-active'); + }); + + window.addEventListener('dragleave', (e) => { + if (e.relatedTarget === null) zone.classList.remove('drop-active'); + }); + + window.addEventListener('drop', async (e) => { + e.preventDefault(); + zone.classList.remove('drop-active'); + + const items = e.dataTransfer?.items; + if (!items) return; + + const files: File[] = []; + const queue: FileSystemEntry[] = []; + + for (let i = 0; i < items.length; i++) { + const entry = items[i].webkitGetAsEntry(); + if (entry) queue.push(entry); + } + + async function readAllEntries(entry: FileSystemEntry) { + if (entry.isFile) { + const file = await new Promise((res) => (entry as FileSystemFileEntry).file(res)); + files.push(file); + } else if (entry.isDirectory) { + const reader = (entry as FileSystemDirectoryEntry).createReader(); + let entries: FileSystemEntry[] = []; + let chunk: FileSystemEntry[]; + do { + chunk = await new Promise((res) => reader.readEntries(res)); + entries.push(...chunk); + } while (chunk.length > 0); + + for (const child of entries) await readAllEntries(child); + } + } + + for (const entry of queue) await readAllEntries(entry); + + if (files.length) handleFiles(files); + }); +} + +async function handleFiles(files: File[]) { + if (!files.length) return; + cancelProcessing = false; + const initialSkipCount = skippedImports.length; + + const loader = document.getElementById('global-loader'); + const loaderText = document.getElementById('loader-text'); + const loaderSubtext = document.getElementById('loader-subtext'); + const progressBar = document.getElementById('loader-progress-bar') as HTMLElement; + const loaderClose = document.getElementById('loader-close'); + + if (loaderClose) { + loaderClose.addEventListener('click', () => { + cancelProcessing = true; + if (loader) loader.classList.add('hidden'); + }); + } + + function updateLoaderIconToWarning() { + const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement; + if (loaderIcon) { + loaderIcon.textContent = 'warning'; + loaderIcon.style.color = '#f59e0b'; + } + const warningCount = document.getElementById('loader-warning-count'); + if (warningCount) { + const count = skippedImports.length - initialSkipCount; + const countSpan = warningCount.querySelector('span'); + if (countSpan) countSpan.textContent = `${count}`; + warningCount.style.display = 'flex'; + } + } + + if (loader) { + if (loaderText) + loaderText.textContent = `Importing ${files.length} file${files.length > 1 ? 's' : ''}`; + const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement; + if (loaderIcon) { + loaderIcon.textContent = 'download'; + loaderIcon.style.color = 'var(--accent)'; + } + const warningCount = document.getElementById('loader-warning-count'); + if (warningCount) { + warningCount.style.display = 'none'; + const countSpan = warningCount.querySelector('span'); + if (countSpan) countSpan.textContent = '0'; + } + if (loaderSubtext) loaderSubtext.textContent = ''; + if (progressBar) progressBar.style.width = '0%'; + loader.classList.remove('hidden'); + + if (skippedImports.length > initialSkipCount) updateLoaderIconToWarning(); + } + + try { + let count = 0; + let firstId: string | null = null; + let processedSinceLastUpdate = 0; + + // Filter out obviously invalid files early + const validFiles = files.filter((f) => { + const name = f.name.toLowerCase(); + return ( + name.endsWith('.gpx') || + name.endsWith('.fit') || + name.endsWith('.tcx') || + name.endsWith('.kml') + ); + }); + + const invalidFiles = files.filter((f) => !validFiles.includes(f)); + invalidFiles.forEach((f) => { + skippedImports.push({ name: f.name, reason: 'Unsupported file format' }); + }); + + if (validFiles.length === 0) { + if (files.length > 0) { + showToast('No valid GPS files found', 'error'); + // Still update warning icon if there were invalid files! + const importWarning = document.getElementById('import-warning'); + if (importWarning && skippedImports.length > 0) { + importWarning.classList.remove('hidden'); + importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`; + } + } + return; + } + + const loaderFilename = document.getElementById('loader-filename'); + let progressIdxEl: HTMLElement | null = null; + if (loaderSubtext) { + loaderSubtext.innerHTML = + ''; + progressIdxEl = loaderSubtext.querySelector('.progress-index') as HTMLElement | null; + const totalEl = loaderSubtext.querySelector('.progress-total'); + if (totalEl) totalEl.textContent = validFiles.length.toString(); + } + + for (let i = 0; i < validFiles.length; i++) { + if (cancelProcessing) break; + const f = validFiles[i]; + if (loaderFilename) loaderFilename.textContent = f.name; + if (progressIdxEl) progressIdxEl.textContent = (i + 1).toString(); + if (progressBar) progressBar.style.width = `${(i / validFiles.length) * 100}%`; + + try { + const data = await Parsers.parseFile(f); + + // Duplicate checks + const existingTracks = Object.values(tracks); + + // Rule 1: Same file and same size + const sameFile = existingTracks.find((t) => t.fileName === f.name && t.fileSize === f.size); + if (sameFile) { + skippedImports.push({ name: f.name, reason: 'Same File' }); + updateLoaderIconToWarning(); + continue; + } + + // Rule 2 & 3: Same start day checks + const newStart = data.stats.startTime; + const newDuration = data.stats.duration; + + if (newStart != null && newDuration != null) { + const newEnd = newStart + newDuration; + const sameDayTracks = existingTracks.filter( + (t) => t.stats.startTime != null && isSameDay(newStart, t.stats.startTime!), + ); + + let discarded = false; + for (const ext of sameDayTracks) { + const extStart = ext.stats.startTime!; + const extDuration = ext.stats.duration!; + const extEnd = extStart + extDuration; + + // Rule 2: Fully contained + if (newStart >= extStart && newEnd <= extEnd) { + skippedImports.push({ name: f.name, reason: 'Fully contained in another track' }); + updateLoaderIconToWarning(); + discarded = true; + break; + } + + // Rule 3: Overlaps for > 10 mins + const overlap = Math.min(newEnd, extEnd) - Math.max(newStart, extStart); + if (overlap > 600000) { + // 10 mins in ms + skippedImports.push({ + name: f.name, + reason: 'Overlaps with an existing track for more than 10 mins', + }); + updateLoaderIconToWarning(); + discarded = true; + break; + } + } + if (discarded) continue; + } + + const fallbackTime = 1785542400000; + let id = compactId(data.stats.startTime || fallbackTime); + if (tracks[id]) id += `-${shortRandom()}`; + + // Use filename as activity name if internal name is generic + let trackName = data.name; + if (trackName.startsWith('Unnamed') || trackName.startsWith('Fit Activity')) + trackName = f.name; + + // Generate a nice display name + let displayName = trackName; + const t0 = data.points[0]?.time; + const sport = data.sport + ? data.sport.charAt(0).toUpperCase() + data.sport.slice(1) + : 'Activity'; + if (t0) { + const d = new Date(t0); + displayName = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')} ${sport}`; + } else { + displayName = trackName.replace(/\.[^/.]+$/, '').replace(/_/g, ' '); // Remove extension and replace underscores + } + + const track: TrackData = { + ...data, + id, + name: trackName, + displayName, + fileName: f.name, + fileSize: f.size, + bounds: calculateBounds(data.points) || undefined, + simplifiedPoints: simplifyTrack(data.points, 50), // 50m resolution + addedAt: data.stats.startTime || fallbackTime, + visible: true, + color: TRACK_COLORS[colorIdx % TRACK_COLORS.length], + }; + colorIdx++; + if (cancelProcessing) break; + + await Storage.save(track); + tracks[id] = track; + MapView.addTrack(track); + if (!firstId) firstId = id; + count++; + processedSinceLastUpdate++; + + if (processedSinceLastUpdate >= 5) { + processedSinceLastUpdate = 0; + } + } catch (err) { + skippedImports.push({ + name: f.name, + reason: `Parse error: ${err instanceof Error ? err.message : String(err)}`, + }); + updateLoaderIconToWarning(); + } + } + + // Update warning icon + const importWarning = document.getElementById('import-warning'); + if (importWarning) { + if (skippedImports.length > 0) { + importWarning.classList.remove('hidden'); + importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`; + } else { + importWarning.classList.add('hidden'); + } + } + + const newWarnings = skippedImports.length > initialSkipCount; + if (!newWarnings && loader) { + loader.classList.add('hidden'); + } + + if (count > 0) { + showToast(`Imported ${count} track${count > 1 ? 's' : ''}`); + applyFilters(!!firstId && firstId !== selectedId); + if (firstId) selectTrack(firstId); + } + + if (newWarnings) { + const loaderIcon = document.querySelector('.loader-icon-wrap span'); + if (loaderIcon) loaderIcon.textContent = 'warning'; + // Delay hiding loader to let user see the alert icon + await new Promise((r) => setTimeout(r, 1500)); + } + } finally { + if (loader) loader.classList.add('hidden'); + } +} + +function initMetricPillDraggable() { + const container = document.getElementById('metric-pills'); + if (!container) return; + + let draggedEl: HTMLElement | null = null; + + container.addEventListener('dragstart', (e) => { + const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement; + if (!target) return; + draggedEl = target; + e.dataTransfer!.effectAllowed = 'move'; + target.classList.add('dragging-pill'); + // For transparent background in ghost image + setTimeout(() => (target.style.opacity = '0.4'), 0); + }); + + container.addEventListener('dragover', (e) => { + e.preventDefault(); + e.dataTransfer!.dropEffect = 'move'; + const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement; + if (target && target !== draggedEl) { + const rect = target.getBoundingClientRect(); + const next = e.clientX - rect.left > rect.width / 2; + container.insertBefore(draggedEl!, next ? target.nextSibling : target); + } + }); + + container.addEventListener('dragend', () => { + if (!draggedEl) return; + draggedEl.classList.remove('dragging-pill'); + draggedEl.style.opacity = ''; + draggedEl = null; + + // Update Chart order + const keys = Array.from(container.querySelectorAll('.metric-pill')).map( + (el) => (el as HTMLElement).dataset.metric!, + ); + ChartView.updateMetricOrder(keys); + syncMetricsToUrl(); + }); +} + +function updateToolbarLayout() { + const toolbar = document.getElementById('chart-toolbar'); + const pills = document.getElementById('metric-pills'); + if (!toolbar || !pills) return; + + toolbar.classList.remove('collapsed'); + const availableW = Math.max(0, toolbar.clientWidth - 280); + let totalW = 0; + let hidden = false; + + Array.from(pills.children).forEach((el) => { + const htmlEl = el as HTMLElement; + if (htmlEl.id === 'pill-overflow') return; + + htmlEl.classList.remove('overflow-hidden'); + if (!htmlEl.classList.contains('active')) return; + const metricKey = htmlEl.dataset.metric || ''; + const deterministicPillWidth = 36 + metricKey.length * 6; + totalW += deterministicPillWidth + 6; + + if (totalW > availableW) { + hidden = true; + htmlEl.classList.add('overflow-hidden'); + } + }); + + const overflowEl = document.getElementById('pill-overflow'); + if (overflowEl) overflowEl.classList.toggle('hidden', !hidden); + + if (hidden) toolbar.classList.add('collapsed'); +} + +document.addEventListener('DOMContentLoaded', init); diff --git a/suites-experimental/tools-gps-tracks/src/benchmark-override.ts b/suites-experimental/tools-gps-tracks/src/benchmark-override.ts new file mode 100644 index 0000000000..aef3b32065 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/benchmark-override.ts @@ -0,0 +1,75 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +// Deterministic PRNG (Mulberry32) for reproducible benchmark runs. +let seed = 0x20260720; +(window as any).__resetBenchmarkSeed = (): void => { + seed = 0x20260720; +}; +Math.random = (): number => { + let t = (seed += 0x6d2b79f5); + t = Math.imul(t ^ (t >>> 15), t | 1); + t ^= t + Math.imul(t ^ (t >>> 7), t | 61); + return ((t ^ (t >>> 14)) >>> 0) / 4294967296; +}; + +window.requestAnimationFrame = (callback: FrameRequestCallback): number => { + return window.setTimeout(() => callback(performance.now()), 0); +}; + +window.cancelAnimationFrame = (id: number): void => { + window.clearTimeout(id); +}; + +// Normalize devicePixelRatio to 1 so uPlot and canvas rendering execute +// identical code paths (e.g. decimation thresholds and canvas dimensions) across browsers. +try { + Object.defineProperty(window, 'devicePixelRatio', { + get: () => 1, + configurable: true, + }); +} catch (_) {} + +// Normalize navigator.language to en-US so Intl.NumberFormat / locale formatters +// produce identical strings across browsers and OS locales. +try { + Object.defineProperty(navigator, 'language', { + get: () => 'en-US', + configurable: true, + }); + Object.defineProperty(navigator, 'languages', { + get: () => ['en-US'], + configurable: true, + }); +} catch (_) {} + +// Normalize CanvasRenderingContext2D.prototype.measureText so canvas layout calculations +// (histogram padding, axis label bounding boxes, cursor pills) do not vary with OS/browser +// system-ui font glyph metrics. +if (typeof CanvasRenderingContext2D !== 'undefined') { + CanvasRenderingContext2D.prototype.measureText = function (text: string): TextMetrics { + const fontStr = this.font || '10px sans-serif'; + const sizeMatch = fontStr.match(/(\d+(?:\.\d+)?)px/); + const fontSize = sizeMatch ? parseFloat(sizeMatch[1]) : 10; + const isBold = /\bbold\b|\b[6-9]00\b/i.test(fontStr); + const charWidth = fontSize * (isBold ? 0.6 : 0.55); + const width = String(text).length * charWidth; + return { + width, + actualBoundingBoxLeft: 0, + actualBoundingBoxRight: width, + actualBoundingBoxAscent: fontSize * 0.8, + actualBoundingBoxDescent: fontSize * 0.2, + fontBoundingBoxAscent: fontSize * 0.8, + fontBoundingBoxDescent: fontSize * 0.2, + emHeightAscent: fontSize * 0.8, + emHeightDescent: fontSize * 0.2, + hangingBaseline: fontSize * 0.8, + alphabeticBaseline: 0, + ideographicBaseline: -fontSize * 0.2, + } as TextMetrics; + }; +} diff --git a/suites-experimental/tools-gps-tracks/src/charts.ts b/suites-experimental/tools-gps-tracks/src/charts.ts new file mode 100644 index 0000000000..c1f59cea7e --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/charts.ts @@ -0,0 +1,3376 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +import uPlot from 'uplot'; +import { TrackPoint, TrackStats, TrackData } from './parsers'; +import { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils'; +import { Zones } from './zones'; +import { METRICS, MetricDefinition } from './metrics'; +import { UrlState } from './url-state'; +import { SPORTS } from './sports'; + +// Augment uPlot to include our custom property + +interface WegPlot extends uPlot { + _strasse?: { + selFill: HTMLElement; + anchorLine: HTMLElement; + anchorLabel: HTMLElement; + anchorHandle: HTMLElement; + anchorMarker: HTMLElement; + endLine: HTMLElement; + endLabel: HTMLElement; + endHandle: HTMLElement; + endMarker: HTMLElement; + curYVal: HTMLElement; + updateHeaderStats: (min: number, max: number) => void; + }; +} + +interface PlotData { + uplot: WegPlot; + row: HTMLDivElement; + xData: number[]; + yData: (number | null)[]; + def: MetricDefinition; + metricKey: string; + statsTotalEl: HTMLDivElement; + statsSelEl: HTMLDivElement; + histCol: HTMLDivElement; + histCanvas: HTMLCanvasElement; + histData: HistData; + hoveredHistY: number | null; + pinnedHistY: number | null; + smoothed?: boolean; + incZero?: boolean; + w?: number; +} + +interface HistData { + yData: (number | null)[]; + xData: number[]; + def: MetricDefinition; + BINS: number; + plot?: PlotData; + bins?: number[]; + binAccum?: number[]; + min?: number; + max?: number; + padL?: number; + selBins?: number[] | null; + selBinAccum?: number[] | null; + _lastYData?: any; + _lastSelRange?: [number, number] | null; + fullStats?: { min: number; max: number; avg: number } | null; + fullStatsAll?: { min: number; max: number; avg: number } | null; +} + +export const ChartView = (() => { + let plots: PlotData[] = []; + let renderedTrack: TrackData | null = null; + let renderedXAxis: string = 'time'; + let renderedSpeedMode: string = 'speed'; + let renderedMapColorMetric: string | null = null; + let syncKey: { + key: string; + sub: (u: uPlot) => void; + unsub: (u: uPlot) => void; + pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void; + } | null = null; + let scaleSyncing: boolean = false; + let cursorSyncing: boolean = false; + let activeMetrics: Set = new Set(['elevation']); + let availableMetrics: Set = new Set(); + let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']); + let metricsIncludingZero: Set = new Set(['power']); + let xAxis: string = 'time'; + let currentTrack: TrackData | null = null; + let allTracks: TrackData[] = []; + + // Selection / anchor + let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge + let selEndVal: number | null = null; // x-value at zoom right edge + let isDragging: boolean = false; + let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag + let pinnedPtIdx: number | null = null; // point index pinned by map click + let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center + let lastHistMouseEvent: MouseEvent | null = null; + let hoveredHistData: HistData | null = null; + let hoveredHistCanvas: HTMLCanvasElement | null = null; + + let currentXRange: [number, number] | null = null; // [min, max] currently rendered + let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation + let animId: number | null = null; + + // Callbacks + let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null; + let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null = + null; + let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null; + let onPinChangeCb: ((idx: number | null) => void) | null = null; + + const HIST_W: number = 130; + const ROW_BODY_PADDING: number = 28; // 14px left + 14px right + const HIST_GAP: number = 20; // margin-left on .hist-col + let statsVisible: boolean = true; + let histTooltipEl: HTMLElement | null = null; + let container: HTMLElement | null = null; + let emptyEl: HTMLElement | null = null; + let selStatsEl: HTMLElement | null = null; + let resetSelBtn: HTMLElement | null = null; + let mapColorMetric: string | null = null; + let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null = + null; + + // ── Init ────────────────────────────────────────────────────── + function init( + onCursorMove: (pt: TrackPoint | null) => void, + onRangeChange: (min: number | null, max: number | null, axis: string) => void, + onClick: (pt: TrackPoint, idx: number) => void, + onPinChange: (idx: number | null) => void, + ) { + onCursorMoveCb = onCursorMove; + onRangeChangeCb = onRangeChange; + onClickCb = onClick; + onPinChangeCb = onPinChange; + container = document.getElementById('charts-container'); + container?.addEventListener('scroll', () => { + if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData) + updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData); + }); + emptyEl = document.getElementById('chart-empty'); + selStatsEl = document.getElementById('chart-stats-sel'); + resetSelBtn = document.getElementById('btn-reset-selection'); + histTooltipEl = document.getElementById('hist-tooltip'); + syncKey = uPlot.sync('strasse-sync'); + + document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection); + resetSelBtn?.classList.add('hidden'); + + // ── WASD Keyboard Navigation ── + const navKeys = new Set(['w', 'a', 's', 'd']); + const activeNavKeys = new Set(); + + document.addEventListener('keydown', (e) => { + if (!plots.length || !currentTrack) return; + if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return; + + const key = e.key.toLowerCase(); + if (!navKeys.has(key)) return; + + e.preventDefault(); + activeNavKeys.add(key); + + const u = plots[0].uplot; + if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!]; + + let [min, max] = targetXRange; + const span = max - min; + const moveStep = span * 0.1; + const zoomFactor = 0.15; + + let newMin = min, + newMax = max; + + if (key === 'a') { + // Pan left + newMin = min - moveStep; + newMax = max - moveStep; + } else if (key === 'd') { + // Pan right + newMin = min + moveStep; + newMax = max + moveStep; + } else if (key === 'w' || key === 's') { + // Zoom + const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2; + const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2; + newMin = center - (center - min) * factor; + newMax = center + (max - center) * factor; + } + + // Clamp to track bounds + const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!]; + if (newMin < xFull[0]) { + const d = xFull[0] - newMin; + newMin += d; + newMax += d; + } + if (newMax > xFull[1]) { + const d = newMax - xFull[1]; + newMin -= d; + newMax -= d; + } + newMin = Math.max(xFull[0], newMin); + newMax = Math.min(xFull[1], newMax); + + if (newMax - newMin > 0.001) { + targetXRange = [newMin, newMax]; + setVisibleRange(newMin, newMax, true); // true = animate + } + }); + + document.addEventListener('keyup', (e) => { + const key = e.key.toLowerCase(); + if (navKeys.has(key)) activeNavKeys.delete(key); + }); + } + + function setVisibleRange(min: number, max: number, animate = false) { + if (!plots.length) return; + if (!animate) { + plots.forEach(({ uplot: u }) => u.setScale('x', { min, max })); + return; + } + + const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number; + const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number; + + if (animId) cancelAnimationFrame(animId); + + const lerp = (a: number, b: number, t: number) => a + (b - a) * t; + const factor = 0.25; // Smoothing factor + + const step = () => { + if (!targetXRange) return; + const [tMin, tMax] = targetXRange; + + const cMin = lerp(currentXRange![0], tMin, factor); + const cMax = lerp(currentXRange![1], tMax, factor); + + plots.forEach(({ uplot: u }) => { + u.setScale('x', { min: cMin, max: cMax }); + }); + + if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001) + animId = requestAnimationFrame(step); + else animId = null; + }; + animId = requestAnimationFrame(step); + } + + // ── Public API ──────────────────────────────────────────────── + function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) { + pinnedPtIdx = null; + selAnchorVal = null; + selEndVal = null; + allTracks = others; + + // Detect which metrics are available in this file + availableMetrics = new Set( + Object.entries(METRICS) + .filter(([, def]) => track.points.some((p) => p[def.field] != null)) + .map(([key]) => key), + ); + + // If no metrics are active (e.g. first load), default to core overview metrics + if (activeMetrics.size === 0) { + activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m))); + } + + // Sync the pill buttons in the toolbar + document.querySelectorAll('.metric-pill').forEach((el) => { + const pill = el as HTMLElement; + const metric = pill.dataset.metric!; + const isAvailable = availableMetrics.has(metric); + pill.classList.toggle('active', isAvailable && activeMetrics.has(metric)); + pill.classList.toggle('disabled', !isAvailable); + }); + + currentTrack = track; + if (deferRender) { + updateStats(track); + } else { + render(); + } + } + + function clear() { + pinnedPtIdx = null; + selAnchorVal = null; + selEndVal = null; + currentTrack = null; + destroyPlots(); + if (emptyEl) { + emptyEl.style.display = 'flex'; + emptyEl.innerHTML = ` + no_sim +
Select a track to view analysis
+ `; + } + const chartStats = document.getElementById('chart-stats'); + if (chartStats) chartStats.classList.add('hidden'); + clearSelectionStats(); + mapColorMetric = null; + if (onMapColorChangeCb) onMapColorChangeCb(null); + } + + function resetState() { + if (animId !== null) { + cancelAnimationFrame(animId); + animId = null; + } + activeMetrics = new Set(['elevation']); + availableMetrics = new Set(); + smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']); + metricsIncludingZero = new Set(['power']); + xAxis = 'time'; + allTracks = []; + currentXRange = null; + targetXRange = null; + lastMouseXVal = null; + lastHistMouseEvent = null; + hoveredHistData = null; + hoveredHistCanvas = null; + statsVisible = true; + clear(); + document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => { + const pill = el as HTMLElement; + pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!)); + pill.classList.remove('disabled', 'overflow-hidden'); + }); + const overflowEl = document.getElementById('pill-overflow'); + if (overflowEl) overflowEl.classList.add('hidden'); + const toolbar = document.getElementById('chart-toolbar'); + if (toolbar) toolbar.classList.remove('collapsed'); + document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => { + b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time'); + }); + } + + function toggleMetric(key: string) { + if (activeMetrics.has(key)) activeMetrics.delete(key); + else activeMetrics.add(key); + if (currentTrack) render(true); + } + + function setActiveMetrics(keys: string[]) { + activeMetrics = new Set(keys); + if (currentTrack) render(true); + // Sync the pill buttons + document.querySelectorAll('.metric-pill').forEach((el) => { + const pill = el as HTMLElement; + pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!)); + }); + } + + function setXAxis(axis: string) { + if (xAxis === axis || !currentTrack) { + xAxis = axis; + return; + } + + const pts = currentTrack.points; + const t0 = pts.find((p) => p.time != null)?.time || 0; + + // Helper to convert a value from OLD axis to NEW axis + const convert = (val: number | null) => { + if (val === null) return null; + // We need to find the point index closest to 'val' on the OLD axis + let idx = 0; + if (xAxis === 'distance') { + const dTarget = val * 1000; + idx = pts.findIndex((p) => (p.dist || 0) >= dTarget); + } else { + const tTarget = t0 + val * 1000; + idx = pts.findIndex((p) => (p.time || 0) >= tTarget); + } + if (idx === -1) idx = pts.length - 1; + + // Now get the value at this index on the NEW axis + if (axis === 'distance') return (pts[idx].dist || 0) / 1000; + else return ((pts[idx].time || t0) - t0) / 1000; + }; + + // Convert selection + if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal); + if (selEndVal !== null) selEndVal = convert(selEndVal); + + // Convert zoom range (from first plot) + let newRange: [number, number] | null = null; + if (plots.length) { + const u = plots[0].uplot; + const r0 = convert(u.scales.x!.min!); + const r1 = convert(u.scales.x!.max!); + if (r0 !== null && r1 !== null) newRange = [r0, r1]; + } + + xAxis = axis; + render(true); + + // Apply converted zoom + if (newRange) { + scaleSyncing = true; + plots.forEach(({ uplot: u }) => { + u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] })); + }); + scaleSyncing = false; + } + } + + function toggleStats() { + statsVisible = !statsVisible; + plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible)); + resize(); + } + + function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) { + onMapColorChangeCb = cb; + } + + function toggleMapColor(key: string | null) { + if (mapColorMetric === key || key === null) { + mapColorMetric = null; + _updateMapColorBtns(); + if (onMapColorChangeCb) onMapColorChangeCb(null); + } else { + mapColorMetric = key; + _updateMapColorBtns(); + _fireMapColorCb(); + } + // Re-render to show/hide colored fills on the graphs + if (currentTrack) render(true); + } + + function _updateMapColorBtns() { + document.querySelectorAll('.map-color-btn').forEach((el) => { + const b = el as HTMLElement; + b.classList.toggle('active', b.dataset.metric === mapColorMetric); + }); + } + + function _fireMapColorCb() { + if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return; + const plot = plots.find((p) => p.metricKey === mapColorMetric); + if (!plot) return; + const colors = _computePointColors(mapColorMetric, plot.yData); + onMapColorChangeCb({ pts: currentTrack.points, colors }); + } + + function _computePointColors(key: string, yData: (number | null)[]): string[] { + const vals = yData.filter((v): v is number => v != null && isFinite(v)); + if (!vals.length) return yData.map(() => '#888896'); + const min = Math.min(...vals), + max = Math.max(...vals); + + const sport = currentTrack?.sport; + const sportDef = sport ? SPORTS[sport.toLowerCase()] : null; + const defaultMode = sportDef?.defaultPreset || 'speed'; + const urlState = UrlState.get(); + const speedMode = (urlState as any).speed_mode || defaultMode; + const paceUnit = sportDef?.paceUnit || 'km'; + + return yData.map((v) => { + if (v == null || !isFinite(v)) return '#888896'; + if (key === 'gradient') return gradientColor(v); + if (key === 'speed') { + if (speedMode === 'pace') { + const speed = (paceUnit === 'km' ? 1000 : 100) / v; + return speedColor(speed); + } + return speedColor(v); + } + const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min))); + if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); + if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25); + if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25); + return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25); + }); + } + + function resetZoom() { + cancelSelection(); + } + + function cancelSelection() { + selAnchorVal = null; + selEndVal = null; + pinnedPtIdx = null; + if (onPinChangeCb) onPinChangeCb(null); + + // Reset individual histogram pins + plots.forEach((p) => { + p.pinnedHistY = null; + }); + + updateSelOverlay(); + redrawHistograms(); + + // Perform the actual zoom reset + scaleSyncing = true; + plots.forEach(({ uplot: u, xData }) => { + u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! })); + u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!); + }); + scaleSyncing = false; + + if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis); + } + + function setSelectionStats(stats: TrackStats) { + if (!selStatsEl) return; + const fmt = (id: string, val: string) => { + const el = document.querySelector(`#${id} .stat-value`); + if (el) el.textContent = val; + }; + fmt( + 'sel-distance', + stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '—', + ); + fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '—'); + fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '—'); + fmt( + 'sel-avg-speed', + stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '—', + ); + fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '—'); + fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '—'); + fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} °C` : '—'); + selStatsEl.classList.remove('hidden'); + if (resetSelBtn) resetSelBtn.classList.remove('hidden'); + } + + function clearSelectionStats() { + if (selStatsEl) selStatsEl.classList.add('hidden'); + if (resetSelBtn) resetSelBtn.classList.add('hidden'); + [ + 'sel-distance', + 'sel-duration', + 'sel-elevation', + 'sel-avg-speed', + 'sel-avg-power', + 'sel-avg-hr', + 'sel-avg-temp', + ].forEach((id) => { + const el = document.querySelector(`#${id} .stat-value`); + if (el) el.textContent = '--'; + }); + } + + // Called on boot to restore a saved selection without re-firing onRangeChangeCb + // xMin/xMax are ALWAYS provided in Time (seconds from start) + function restoreSelection(tMin: number, tMax: number, deferRender = false) { + if (!currentTrack) return; + const pts = currentTrack.points; + const t0 = pts.find((p) => p.time != null)?.time || 0; + const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000; + + // If values look like absolute timestamps in ms, convert to seconds from start + if (tMin > 1e12) tMin = (tMin - t0) / 1000; + if (tMax > 1e12) tMax = (tMax - t0) / 1000; + + // Crop to max limits of the track + tMin = Math.max(0, Math.min(tMin, totalDuration)); + tMax = Math.max(0, Math.min(tMax, totalDuration)); + + const convert = (tOffset: number) => { + if (xAxis === 'time') return tOffset; + const tTarget = t0 + tOffset * 1000; + let idx = pts.findIndex((p) => (p.time || 0) >= tTarget); + if (idx === -1) idx = pts.length - 1; + return (pts[idx].dist || 0) / 1000; + }; + + const xMin = convert(tMin); + const xMax = convert(tMax); + + selAnchorVal = xMin; + selEndVal = xMax; + currentXRange = [xMin, xMax]; + if (deferRender) return; + scaleSyncing = true; // suppress the setScale → onRangeChangeCb loop + plots.forEach(({ uplot: u }) => { + u.batch(() => u.setScale('x', { min: xMin, max: xMax })); + }); + scaleSyncing = false; + updateAnchorLines(); + redrawHistograms(); + } + + function resize() { + if (!plots.length || !container) return; + const w = Math.round( + Math.max( + 100, + container.getBoundingClientRect().width - + ROW_BODY_PADDING - + (statsVisible ? HIST_W + HIST_GAP : 0), + ), + ); + let anyResized = false; + plots.forEach(({ uplot: u, histCanvas, histData }) => { + if (w !== u.width) { + u.setSize({ width: w, height: u.height }); + anyResized = true; + if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height); + } + }); + if (anyResized) updateSelOverlay(); + } + + // ── Render ──────────────────────────────────────────────────── + function render(keepState = false) { + let savedRange: [number, number] | null = null; + let savedScroll = 0; + if (keepState && container) savedScroll = container.scrollTop; + + if (keepState && currentXRange) { + savedRange = [currentXRange[0], currentXRange[1]]; + } else if (keepState && plots.length) { + const u = plots[0].uplot; + savedRange = [u.scales.x!.min!, u.scales.x!.max!]; + } + + if (!currentTrack) { + destroyPlots(keepState); + return; + } + const pts = currentTrack.points; + if (!pts.length) { + destroyPlots(keepState); + return; + } + + const sport = currentTrack?.sport; + const sportDef = sport ? SPORTS[sport.toLowerCase()] : null; + const defaultMode = sportDef?.defaultPreset || 'speed'; + const urlState = UrlState.get(); + const speedMode = (urlState as any).speed_mode || defaultMode; + const paceUnit = sportDef?.paceUnit || 'km'; + + const available = [...activeMetrics].filter((m) => + pts.some((p) => p[METRICS[m].field] != null), + ); + if (!available.length) { + destroyPlots(keepState); + if (emptyEl) { + emptyEl.style.display = 'flex'; + emptyEl.innerHTML = ` + no_sim +
No data for selected metrics
+ `; + } + return; + } + if (emptyEl) emptyEl.style.display = 'none'; + + const containerW = container ? container.getBoundingClientRect().width : 800; + const w = Math.round( + Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)), + ); + + const canReuse = + keepState && + renderedTrack === currentTrack && + renderedXAxis === xAxis && + renderedSpeedMode === speedMode && + renderedMapColorMetric === mapColorMetric && + plots.length > 0; + + let xData: (number | null)[]; + if (canReuse) { + xData = plots[0].xData; + } else if (xAxis === 'distance') { + xData = pts.map((p) => (p.dist || 0) / 1000); + } else { + const t0 = pts.find((p) => p.time != null)?.time || 0; + let lastValidX = 0; + xData = pts.map((p) => { + if (p.time != null) { + lastValidX = (p.time - t0) / 1000; + return lastValidX; + } + return lastValidX; // monotonic fallback + }); + } + + const existingByKey = new Map(); + if (canReuse) { + if (histTooltipEl) histTooltipEl.style.display = 'none'; + const availSet = new Set(available); + for (const p of plots) { + const isSmoothed = smoothedMetrics.has(p.metricKey); + const isIncZero = metricsIncludingZero.has(p.metricKey); + if ( + availSet.has(p.metricKey) && + p.smoothed === isSmoothed && + p.incZero === isIncZero && + p.w === w + ) { + existingByKey.set(p.metricKey, p); + } else { + syncKey!.unsub(p.uplot); + p.uplot.destroy(); + p.row.remove(); + } + } + plots = []; + } else { + destroyPlots(keepState); + } + + if (container) { + const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null); + let nextExisting: HTMLElement | null = null; + for (let i = available.length - 1; i >= 0; i--) { + nextSiblingRows[i] = nextExisting; + const ex = existingByKey.get(available[i]); + if (ex) nextExisting = ex.row; + } + + available.forEach((key, idx) => { + const reused = existingByKey.get(key); + if (reused) { + plots.push(reused); + const uplot = reused.uplot; + const s = (uplot as any)._strasse; + const prevSync = scaleSyncing; + scaleSyncing = true; + uplot.batch(() => { + if ( + savedRange && + (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1]) + ) { + uplot.setScale('x', { min: savedRange[0], max: savedRange[1] }); + } else { + s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot); + uplot.redraw(false); + } + }); + scaleSyncing = prevSync; + + let initHoverBinI: number | null = null; + if ( + pinnedPtIdx != null && + reused.xData[pinnedPtIdx] != null && + reused.yData[pinnedPtIdx] != null + ) { + buildHistBins(reused.histData); + if (reused.histData.min != null && reused.histData.max != null) { + const span = reused.histData.max - reused.histData.min || 1; + initHoverBinI = Math.min( + reused.histData.BINS - 1, + Math.floor( + ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) * + reused.histData.BINS, + ), + ); + reused.hoveredHistY = reused.yData[pinnedPtIdx]; + } + } + drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI); + return; + } + + let def = METRICS[key]; + + let transform = def.transform; + let fmt = def.fmt; + let fmtAxis = def.fmtAxis; + let unit = def.unit; + let label = def.label; + + if (key === 'speed' && speedMode === 'pace') { + label = 'Pace'; + unit = `min/${paceUnit}`; + fmt = (v) => fmtPace(v); + fmtAxis = (v) => fmtPace(v); + transform = (v) => { + if (v == null || v < 0.1) return null; + return (paceUnit === 'km' ? 1000 : 100) / v; + }; + + def = { ...def, label, unit, fmt, fmtAxis, transform }; + } + + let yData = def.compute + ? def.compute(pts, fillNulls) + : fillNulls( + pts.map((p) => { + const v = p[def.field] as number; + return v != null && transform ? transform(v) : v; + }), + ); + + if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2); + + createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]); + }); + } + + renderedTrack = currentTrack; + renderedXAxis = xAxis; + renderedSpeedMode = speedMode; + renderedMapColorMetric = mapColorMetric; + + updateStats(currentTrack); + // Restore anchor/end lines if a selection was active + if (selAnchorVal != null && selEndVal != null) updateAnchorLines(); + // Re-apply map color if active + _updateMapColorBtns(); + if (mapColorMetric) _fireMapColorCb(); + + if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll; + } + + // ── Create one chart row ─────────────────────────────────────── + function createChart( + metricKey: string, + def: MetricDefinition, + xData: (number | null)[], + yData: (number | null)[], + w: number, + pts: TrackPoint[], + initialRange: [number, number] | null = null, + insertBeforeEl: HTMLElement | null = null, + ) { + const sport = currentTrack?.sport; + const sportDef = sport ? SPORTS[sport.toLowerCase()] : null; + const defaultMode = sportDef?.defaultPreset || 'speed'; + const urlState = UrlState.get(); + const speedMode = (urlState as any).speed_mode || defaultMode; + + // Gradient data: smooth over a 20 m distance window (±10 m each side) + const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null; + const row = document.createElement('div'); + row.className = 'chart-row'; + row.dataset.metric = metricKey; + row.style.setProperty('--chart-color', def.color); + + // Header + const header = document.createElement('div'); + header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`; + + const labelEl = document.createElement('div'); + labelEl.className = 'chart-row-label-group'; + labelEl.innerHTML = ` + ${def.icon} + ${def.label} + `; + + // Smoothing toggle + const smoothBtn = document.createElement('button'); + smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`; + smoothBtn.title = 'Toggle data smoothing'; + smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`; + smoothBtn.addEventListener('click', (e) => { + e.stopPropagation(); + if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey); + else smoothedMetrics.add(metricKey); + + render(true); // Re-render all charts to keep sync if needed (though only this one changes data) + }); + + const mapColorBtn = document.createElement('button'); + + mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`; + mapColorBtn.dataset.metric = metricKey; + mapColorBtn.title = 'Color map track by this metric'; + mapColorBtn.innerHTML = 'colorize'; + mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey)); + + // Zero-filter toggle (Cadence/Power/Speed) + let zeroBtn: HTMLButtonElement | null = null; + if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') { + zeroBtn = document.createElement('button'); + const incZero = metricsIncludingZero.has(metricKey); + zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`; + zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values'; + zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`; + zeroBtn.addEventListener('click', (e) => { + e.stopPropagation(); + if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey); + else metricsIncludingZero.add(metricKey); + render(true); + }); + } + + const statsTotalEl = document.createElement('div'); + statsTotalEl.className = 'chart-stats-total'; + + const statsSelEl = document.createElement('div'); + statsSelEl.className = 'chart-stats-selection'; + + const statsContainer = document.createElement('div'); + statsContainer.className = 'chart-row-stats-container'; + statsContainer.append(statsTotalEl, statsSelEl); + + const actionsEl = document.createElement('div'); + actionsEl.className = 'chart-row-actions'; + actionsEl.append(smoothBtn, mapColorBtn); + + const rightActionsEl = document.createElement('div'); + rightActionsEl.className = 'chart-row-right-actions'; + + if (metricKey === 'speed') { + const paceToggle = document.createElement('div'); + paceToggle.className = 'seg-ctrl'; + paceToggle.innerHTML = ` + + + `; + paceToggle.addEventListener('click', (e) => { + const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement; + if (!btn) return; + const mode = btn.dataset.mode; + if (mode === 'speed' || mode === 'pace') { + const isDefault = mode === defaultMode; + UrlState.patch({ speed_mode: isDefault ? null : mode }); + render(true); + } + }); + rightActionsEl.append(paceToggle); + } + + if (zeroBtn) rightActionsEl.append(zeroBtn); + + header.append(labelEl, actionsEl, statsContainer, rightActionsEl); + + const rowBody = document.createElement('div'); + rowBody.className = 'chart-row-body'; + + const plotEl = document.createElement('div'); + plotEl.style.position = 'relative'; + rowBody.appendChild(plotEl); + + const fixedMinLabel = document.createElement('div'); + fixedMinLabel.className = 'fixed-x-label fixed-x-min'; + const fixedMaxLabel = document.createElement('div'); + fixedMaxLabel.className = 'fixed-x-label fixed-x-max'; + plotEl.append(fixedMinLabel, fixedMaxLabel); + + const histCol = document.createElement('div'); + histCol.className = `hist-col${statsVisible ? ' visible' : ''}`; + const histCanvas = document.createElement('canvas'); + histCanvas.className = 'hist-canvas'; + histCol.appendChild(histCanvas); + rowBody.appendChild(histCol); + + row.append(header, rowBody); + + const isDistAxis = xAxis === 'distance'; + + function formatX(v: number, range: number): string { + if (v == null) return ''; + if (isDistAxis) { + const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0; + return `${v.toFixed(dec)} km`; + } else { + const absV = Math.abs(v); + const h = Math.floor(absV / 3600); + const m = Math.floor((absV % 3600) / 60); + const s = Math.round(absV % 60); + const hh = h > 0 ? `${h}:` : ''; + const mm = h > 0 ? String(m).padStart(2, '0') : String(m); + const ss = String(s).padStart(2, '0'); + return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`; + } + } + + const incZeroDefault = + metricsIncludingZero.has(metricKey) || + (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed'); + + // Compute global Y range and full-track stats in a single pass + let gMin = Infinity, + gMax = -Infinity, + allSum = 0, + allCount = 0, + filtMin = Infinity, + filtMax = -Infinity, + filtSum = 0, + filtCount = 0; + for (let i = 0; i < yData.length; i++) { + const v = yData[i]; + if (v == null || !isFinite(v)) continue; + if (v < gMin) gMin = v; + if (v > gMax) gMax = v; + allSum += v; + allCount++; + if (v !== 0 || incZeroDefault) { + if (v < filtMin) filtMin = v; + if (v > filtMax) filtMax = v; + filtSum += v; + filtCount++; + } + } + if (allCount === 0) { + gMin = 0; + gMax = 100; + } + const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null; + const fullStatsFiltered = filtCount + ? { min: filtMin, max: filtMax, avg: filtSum / filtCount } + : null; + const gPad = Math.abs(gMax - gMin) * 0.1 || 1; + const fixedYRange = [gMin - gPad, gMax + gPad]; + + let statsTotalInitialized = false; + + // Per-range stats + function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) { + const incZero = + metricsIncludingZero.has(metricKey) || + (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed'); + + // Update fixed X labels + const range = visibleMax - visibleMin; + fixedMinLabel.textContent = formatX(visibleMin, range); + fixedMaxLabel.textContent = formatX(visibleMax, range); + + const getHtml = (xMin: number, xMax: number, isFull = false) => { + const s = + isFull && incZero === incZeroDefault + ? fullStatsFiltered + : rangeStats(xData, yData, xMin, xMax, incZero); + if (!s) return ''; + + let h = ` + align_flex_end${def.fmt(s.min, true)} ${def.unit} + align_center${def.fmt(s.avg, true)} ${def.unit} + align_flex_start${def.fmt(s.max, true)} ${def.unit} + `; + + if (metricKey === 'elevation') { + const es = elevationRangeStats(pts, xMin, xMax); + h += ` + trending_up+${Math.round(es.gain)} m + trending_down-${Math.round(es.loss)} m + `; + } + return h; + }; + + if (!statsTotalInitialized) { + statsTotalInitialized = true; + statsTotalEl.innerHTML = `all_inclusive${getHtml( + xData[0]!, + xData[xData.length - 1]!, + true, + )}`; + statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => { + e.stopPropagation(); + cancelSelection(); + }); + } + + if (selAnchorVal !== null && selEndVal !== null) { + statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false); + statsSelEl.style.display = 'flex'; + statsSelEl.style.setProperty('--sel-color', def.color); + } else { + statsSelEl.style.display = 'none'; + } + } + let initializingScale = false; + const uOpts: uPlot.Options = { + width: w, + height: 130, + padding: [4, 0, 0, 0], + cursor: { + sync: { + key: syncKey!.key, + }, + drag: { x: true, y: false, uni: 16 }, + focus: { prox: 16 }, + points: { + size: 7, + stroke: '#0e0e10', + width: 2, + fill: (metricKey === 'elevation' + ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null) + : def.color) as any, + }, + x: false, + y: false, + }, + select: { + show: true, + left: 0, + top: 0, + width: 0, + height: 0, + }, + legend: { show: false }, + scales: { + x: { + time: false, + range: (_u: uPlot, mn: number, mx: number) => [mn, mx], + min: initialRange ? initialRange[0] : undefined, + max: initialRange ? initialRange[1] : undefined, + }, + y: { + range: () => fixedYRange as [number, number], + dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1, + }, + }, + axes: [ + { + side: 2, // bottom + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + ticks: { + show: true, + stroke: '#2e2e34', + }, + size: 30, + space: 80, + font: '10px system-ui, sans-serif', + splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => { + const range = scaleMax - scaleMin; + const width = u.bbox.width > 0 ? u.bbox.width : u.width; + const targetLabels = width / 80; + const idealIncr = range / targetLabels; + + let incrs; + if (!isDistAxis) { + // Time in seconds + incrs = [ + 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200, + 86400, 604800, 2592000, 31536000, + ]; + } else { + incrs = [ + 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, + 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000, + ]; + } + + let incr = incrs[incrs.length - 1]; + for (let i = 0; i < incrs.length; i++) { + if (incrs[i] >= idealIncr) { + incr = incrs[i]; + break; + } + } + + const splits = []; + let val = Math.ceil(scaleMin / incr) * incr; + const precision = incr < 1 ? 2 : 0; + + while (val <= scaleMax) { + const pos = u.valToPos(val, 'x', true); + if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80) + splits.push(Number(val.toFixed(precision))); + + val += incr; + } + return splits; + }, + values: ((_u: uPlot, vals: number[]) => { + const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0); + + return vals.map((v) => { + if (v == null) return ''; + const pos = _u.valToPos(v, 'x', true); + // Strict 80px margin to prevent overlapping with fixed labels or Y axis + if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null; + return formatX(v, range); + }); + }) as any, + }, + { + side: 3, // left + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + ticks: { stroke: '#2e2e34' }, + size: 55, + font: '10px system-ui, sans-serif', + values: ((_u: uPlot, vals: number[]) => + vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any, + }, + ], + series: [ + {}, + // Main selected track series + { + label: def.label, + stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering + width: 0, + points: { show: false }, + paths: () => null, + }, + ], + hooks: { + draw: [ + (u: uPlot) => { + const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area! + fixedMinLabel.style.top = `${top}px`; + fixedMinLabel.style.left = `${u.bbox.left}px`; + + fixedMaxLabel.style.top = `${top}px`; + fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`; + fixedMaxLabel.style.transform = 'translateX(-100%)'; + }, + // 1. (bottom) Color / metric color of the selected track + (u: uPlot) => { + if (metricKey === 'gears') { + drawTrackPath( + u, + xData as number[], + yData as number[], + def.color, + 1.5, + metricKey, + null, + pts, + ); + } else if (metricKey === 'elevation') { + drawElevationGradient(u, xData as number[], yData as number[], gradData); + } else if (metricKey === 'gradient') { + drawGradientChart(u, xData as number[], yData as number[]); + } else if (mapColorMetric === metricKey) { + drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey); + } else { + // Normal colored line + drawTrackPath( + u, + xData as number[], + yData as number[], + def.color, + 1.5, + metricKey, + null, + pts, + ); + } + }, + + // 2. Pinned point (middle) + (u: uPlot) => { + const plot = plots.find((p) => p.uplot === u); + if (!plot) return; + + const s = (u as any)._strasse; + // Priority 1: Global pinned point (all charts) + if (pinnedPtIdx != null) { + drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey); + } else { + if (s && s.pinYVal) s.pinYVal.style.display = 'none'; + + // Priority 2: Individual histogram pinned Y-pos (this chart only) + if (plot.pinnedHistY != null) + drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def); + } + }, + + // 3. Pinned & Hover elements (labels, vertical lines) + (u: uPlot) => { + const hIdx = u.cursor.idx; + const hasPinned = pinnedPtIdx != null; + + let hasHover = hIdx != null && u.cursor.left! >= 0; + if (hasHover && pinnedPtIdx == null) { + const cy = u.valToPos(yData[hIdx!]!, 'y', true); + const dist = Math.abs(u.cursor.top! - cy); + if (dist > 100) hasHover = false; + } + + // B. Draw Hover vertical line + if (hasHover && hIdx !== pinnedPtIdx) + drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0); + + // C. Bold selection x-axis line & span pill + if (selAnchorVal != null && selEndVal != null) { + const ctx = u.ctx; + const dpr = window.devicePixelRatio || 1; + const bb = u.bbox; + const ax = u.valToPos(selAnchorVal, 'x', true); + const ex = u.valToPos(selEndVal, 'x', true); + + ctx.save(); + ctx.beginPath(); + ctx.lineWidth = 3 * dpr; + ctx.strokeStyle = def.color; + ctx.moveTo(ax, bb.top + bb.height); + ctx.lineTo(ex, bb.top + bb.height); + ctx.stroke(); + + const span = Math.abs(selEndVal - selAnchorVal); + const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span); + const fontSize = 9 * dpr; + const fontStr = `bold ${fontSize}px system-ui, sans-serif`; + if (ctx.font !== fontStr) ctx.font = fontStr; + const tw = ctx.measureText(label).width; + + const visibleL = Math.max(bb.left, ax); + const visibleR = Math.min(bb.left + bb.width, ex); + const visibleW = visibleR - visibleL; + + if (visibleW > tw + 14 * dpr) { + const padH = 5 * dpr; + const padV = 2 * dpr; + const bw = tw + padH * 2; + const bh = fontSize + padV * 2; + const bx = (visibleL + visibleR) / 2 - bw / 2; + const by = bb.top + bb.height - bh / 2; + + ctx.beginPath(); + if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr); + else ctx.rect(bx, by, bw, bh); + ctx.fillStyle = def.color; + ctx.fill(); + + ctx.fillStyle = '#000'; + ctx.textAlign = 'center'; + ctx.textBaseline = 'middle'; + ctx.fillText(label, bx + bw / 2, by + bh / 2); + } + ctx.restore(); + } + + // D. Draw label pills (on top) + // Pinned labels first (semi-transparent) + if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7); + + // Hover labels last (fully opaque, topmost) + if (hasHover && hIdx !== pinnedPtIdx) + drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0); + }, + ], + setCursor: [ + (u: uPlot) => { + if (scaleSyncing) return; + const idx = u.cursor.idx; + + // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live + // Note: uPlot handles cross-chart sync when syncKey is used. + u.redraw(false); + + // Track current x-value for keyboard navigation + if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x'); + else lastMouseXVal = null; + + // ── Floating y-value next to cursor dot ── + const s = (u as any)._strasse; + let showHover = idx != null && yData[idx] != null; + + // Distance threshold: if no pinned point, check proximity to data line + if (showHover && pinnedPtIdx == null) { + const cy = u.valToPos(yData[idx!]!, 'y', true); + const dist = Math.abs(u.cursor.top! - cy); + if (dist > 100) showHover = false; + } + + if (s) { + if (showHover) + updateTooltip( + u, + s.curYVal, + idx!, + xData as number[], + yData as number[], + pts, + def, + metricKey, + ); + else s.curYVal.style.display = 'none'; + } + + // Map marker + if (!cursorSyncing) { + if (idx != null && pts[idx]) { + if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) { + onCursorMoveCb(pts[idx]); + } else if (onCursorMoveCb && !showHover) { + // If we're too far and nothing is pinned, hide map cursor + onCursorMoveCb(null); + } + } else if (idx === null && onCursorMoveCb) { + onCursorMoveCb(null); + } + } + + // Highlight matching histogram bucket + if (idx != null && yData[idx] != null) { + const { min, max } = histData; + if (min != null && max != null) { + const span = max - min || 1; + const binI = Math.min( + histData.BINS - 1, + Math.floor(((yData[idx]! - min) / span) * histData.BINS), + ); + if (plot.hoveredHistY !== yData[idx]) { + plot.hoveredHistY = yData[idx]; + drawHistogram(histCanvas, histData, 130, binI); + } + } + } else if (plot.hoveredHistY !== null) { + plot.hoveredHistY = null; + drawHistogram(histCanvas, histData, 130); + } + }, + ], + + setScale: [ + (u: uPlot, key: string) => { + if (key !== 'x' || initializingScale) return; + const { min, max } = u.scales.x!; + + // Sync currentXRange so keyboard navigation baseline is always accurate + currentXRange = [min!, max!]; + + // Update header stats for VISIBLE range + updateHeaderStats(min as number, max as number, u); + + if (scaleSyncing) return; + + // Clear keyboard target when user interacts via mouse + if (!updatingRange) targetXRange = null; + + // Sync sibling plots + scaleSyncing = true; + plots.forEach(({ uplot: other }) => { + if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! })); + }); + scaleSyncing = false; + + updateSelOverlay(); + redrawHistograms(); + + if (onRangeChangeCb && selAnchorVal !== null) + onRangeChangeCb(selAnchorVal, selEndVal, xAxis); + }, + ], + + setSelect: [ + (u: uPlot) => { + if (updatingRange) return; + targetXRange = null; + const { left, width } = u.select; + if (width > 0) { + const min = u.posToVal(left, 'x'); + const max = u.posToVal(left + width, 'x'); + selAnchorVal = min; + selEndVal = max; + + // Sync stats to new selection + updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u); + updateSelOverlay(); + redrawHistograms(); + + if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis); + + // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction + u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false); + } + }, + ], + }, + }; + + // ── Overlay (pointer-events off except handles) ── + const overlay = document.createElement('div'); + overlay.style.cssText = + 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5'; + + // Selection fill + const selFill = document.createElement('div'); + selFill.className = 'sel-fill'; + selFill.style.display = 'none'; + + // Anchor line + label + drag handle + const anchorLine = document.createElement('div'); + anchorLine.className = 'sel-line sel-line-anchor'; + anchorLine.style.display = 'none'; + + const anchorLabel = document.createElement('div'); + anchorLabel.className = 'sel-line-label sel-line-label-anchor'; + anchorLabel.style.display = 'none'; + + const anchorHandle = document.createElement('div'); + anchorHandle.className = 'sel-handle sel-handle-anchor'; + anchorHandle.style.display = 'none'; + + const anchorMarker = document.createElement('div'); + anchorMarker.className = 'sel-graph-marker'; + anchorMarker.innerHTML = + 'play_circle'; + anchorMarker.style.display = 'none'; + + // End line + label + drag handle + const endLine = document.createElement('div'); + endLine.className = 'sel-line sel-line-end'; + endLine.style.display = 'none'; + + const endLabel = document.createElement('div'); + endLabel.className = 'sel-line-label sel-line-label-end'; + endLabel.style.display = 'none'; + + const endHandle = document.createElement('div'); + endHandle.className = 'sel-handle sel-handle-end'; + endHandle.style.display = 'none'; + + const endMarker = document.createElement('div'); + endMarker.className = 'sel-graph-marker'; + endMarker.innerHTML = + 'stop_circle'; + endMarker.style.display = 'none'; + + // Floating cursor y-value + const curYVal = document.createElement('div'); + curYVal.className = 'cur-y-val'; + curYVal.style.cssText = `color:${def.color};display:none`; + + // Floating pinned y-value + const pinYVal = document.createElement('div'); + pinYVal.className = 'cur-y-val pin'; + pinYVal.style.cssText = `color:${def.color};display:none`; + + overlay.append( + selFill, + anchorLine, + anchorLabel, + anchorHandle, + anchorMarker, + endLine, + endLabel, + endHandle, + endMarker, + curYVal, + pinYVal, + ); + + const histData: HistData = { + yData, + xData: xData as number[], + def, + BINS: 24, + min: allCount ? gMin : undefined, + max: allCount ? gMax : undefined, + fullStats: fullStatsFiltered, + fullStatsAll, + }; + const plot: PlotData = { + uplot: null as any, + row, + xData: xData as number[], + yData, + def, + metricKey, + statsTotalEl, + statsSelEl, + histCol, + histCanvas, + histData, + hoveredHistY: null, + pinnedHistY: null, + smoothed: smoothedMetrics.has(metricKey), + incZero: metricsIncludingZero.has(metricKey), + w, + }; + histData.plot = plot; // Back-reference for tooltip to trigger redraws + + const prevSync = scaleSyncing; + scaleSyncing = true; + const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => { + plot.uplot = self as WegPlot; + plots.push(plot); + plotEl.appendChild(self.root); + self.over.appendChild(overlay); + (self as any)._strasse = { + selFill, + anchorLine, + anchorLabel, + anchorHandle, + anchorMarker, + endLine, + endLabel, + endHandle, + endMarker, + curYVal, + pinYVal, + updateHeaderStats, + }; + self.batch(() => { + init(); + }); + }) as WegPlot; + scaleSyncing = prevSync; + + // ── Handle drag ── + attachHandleDrag(anchorHandle, uplot, xData, true); + attachHandleDrag(endHandle, uplot, xData, false); + + // ── Mouse listeners ── + let mousedownX: number | null = null; + uplot.over.addEventListener('mousedown', (e) => { + if (e.button !== 0) return; + isDragging = false; + const rect = uplot.over.getBoundingClientRect(); + const xPx = e.clientX - rect.left; + mousedownX = xPx; + }); + uplot.over.addEventListener('mousemove', (e) => { + if (mousedownX !== null) { + const rect = uplot.over.getBoundingClientRect(); + if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true; + } + }); + uplot.over.addEventListener('mouseup', () => { + mousedownX = null; + }); + + // Click to pin point (sticky selection) + uplot.over.addEventListener('click', () => { + if (isDragging) return; + const idx = uplot.cursor.idx; + if (idx != null && pts[idx]) { + pinnedPtIdx = idx; + plots.forEach(({ uplot: u }) => u.redraw(false)); + if (onClickCb) onClickCb(pts[idx], idx); + if (onPinChangeCb) onPinChangeCb(idx); + } + }); + + row.addEventListener('dblclick', cancelSelection); + + let initHoverBinI: number | null = null; + if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) { + buildHistBins(histData); + if (histData.min != null && histData.max != null) { + const span = histData.max - histData.min || 1; + initHoverBinI = Math.min( + histData.BINS - 1, + Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS), + ); + plot.hoveredHistY = yData[pinnedPtIdx]; + } + } + + drawHistogram(histCanvas, histData, 130, initHoverBinI); + attachHistTooltip(histCanvas, histData); + if (container) { + if (insertBeforeEl) container.insertBefore(row, insertBeforeEl); + else container.appendChild(row); + } + } + + // ── Selection overlay (fill + lines + handles) ─────────────── + function updateSelOverlay() { + updateAnchorLines(); + // Redraw canvas markers (bold selection line + span pill) + plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false))); + } + + function updateAnchorLines() { + plots.forEach(({ uplot: u, def }) => { + const s = (u as any)._strasse; + if (!s) return; + const { + selFill, + anchorLine, + anchorLabel, + anchorHandle, + anchorMarker, + endLine, + endLabel, + endHandle, + endMarker, + } = s; + if (selAnchorVal == null || selEndVal == null) { + [ + selFill, + anchorLine, + anchorLabel, + anchorHandle, + anchorMarker, + endLine, + endLabel, + endHandle, + endMarker, + ].forEach((el: HTMLElement) => { + el.style.display = 'none'; + }); + return; + } + const aX = u.valToPos(selAnchorVal, 'x'); + const eX = u.valToPos(selEndVal, 'x'); + const dpr = window.devicePixelRatio || 1; + const bb = u.bbox; + const overW = bb.width / dpr; + const overH = bb.height / dpr; + const plotBottom = (bb.top + bb.height) / dpr; + + const isAnchorVisible = aX >= 0 && aX <= overW; + const isEndVisible = eX >= 0 && eX <= overW; + + // Fill: clamp left/right to visible area + const fillL = Math.max(0, aX); + const fillR = Math.min(overW, eX); + if (fillR > fillL) { + selFill.style.left = `${fillL}px`; + selFill.style.width = `${fillR - fillL}px`; + selFill.style.top = '0'; + selFill.style.height = `${overH}px`; + selFill.style.backgroundColor = hexToRgba(def.color, 0.07); + selFill.style.display = ''; + } else { + selFill.style.display = 'none'; + } + + // Anchor line + if (isAnchorVisible) { + anchorLine.style.left = `${aX}px`; + anchorLine.style.height = `${overH}px`; + anchorLine.style.borderLeftColor = def.color; + anchorLine.style.display = ''; + // Anchor label + const aText = fmtXVal(selAnchorVal); + anchorLabel.textContent = aText; + const aLabelW = aText.length * 7 + 10; + anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`; + anchorLabel.style.display = ''; + // Anchor handle + anchorHandle.style.left = `${aX}px`; + anchorHandle.style.backgroundColor = def.color; + anchorHandle.style.display = ''; + // Anchor marker: centered on the bold line + anchorMarker.style.left = `${aX}px`; + anchorMarker.style.top = `${plotBottom}px`; + const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement; + if (aIcon) aIcon.style.color = def.color; + anchorMarker.style.display = ''; + } else { + [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach( + (el: HTMLElement) => (el.style.display = 'none'), + ); + } + + // End line + if (isEndVisible) { + endLine.style.left = `${eX}px`; + endLine.style.height = `${overH}px`; + endLine.style.borderLeftColor = def.color; + endLine.style.display = ''; + // End label + const eText = fmtXVal(selEndVal); + endLabel.textContent = eText; + const eLabelW = eText.length * 7 + 10; + endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`; + endLabel.style.display = ''; + // End handle + endHandle.style.left = `${eX}px`; + endHandle.style.backgroundColor = def.color; + endHandle.style.display = ''; + // End marker: centered on the bold line + endMarker.style.left = `${eX}px`; + endMarker.style.top = `${plotBottom}px`; + const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement; + if (eIcon) eIcon.style.color = def.color; + endMarker.style.display = ''; + } else { + [endLine, endLabel, endHandle, endMarker].forEach( + (el: HTMLElement) => (el.style.display = 'none'), + ); + } + }); + } + + function fmtXVal(v: number) { + return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v); + } + + // ── Handle drag logic ───────────────────────────────────────── + function attachHandleDrag( + handleEl: HTMLElement, + uplot: uPlot, + xData: (number | null)[], + isAnchor: boolean, + ) { + // pointer-events enabled on the handle itself + handleEl.style.pointerEvents = 'auto'; + + handleEl.addEventListener('mousedown', (e) => { + e.stopPropagation(); + e.preventDefault(); + const startX = e.clientX; + const startVal = isAnchor ? selAnchorVal : selEndVal; + const overW = uplot.over.offsetWidth; + // px-per-data-unit at current zoom + const xMin = uplot.scales.x!.min!, + xMax = uplot.scales.x!.max!; + const pxPerUnit = overW / (xMax - xMin); + const xFull = [xData[0]!, xData[xData.length - 1]!]; + + document.body.style.cursor = 'ew-resize'; + isDragging = true; + + function onMove(me: MouseEvent) { + const dx = me.clientX - startX; + let newVal = (startVal || 0) + dx / pxPerUnit; + newVal = Math.max(xFull[0], Math.min(xFull[1], newVal)); + + if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001); + else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001); + + // When dragging handles, we typically want to stay zoomed to the selection? + // Actually, let's keep the zoom as is, and just update the selection overlay and stats. + plots.forEach((p) => + (p.uplot as any)._strasse?.updateHeaderStats( + p.uplot.scales.x!.min!, + p.uplot.scales.x!.max!, + ), + ); + updateSelOverlay(); + redrawHistograms(); + if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis); + } + + function onUp() { + document.body.style.cursor = ''; + isDragging = false; + document.removeEventListener('mousemove', onMove); + document.removeEventListener('mouseup', onUp); + } + + document.addEventListener('mousemove', onMove); + document.addEventListener('mouseup', onUp); + }); + } + + // ── Histogram logic ────────────────────────────────────────── + function buildHistBins(histData: HistData) { + const { yData, xData, BINS } = histData; + + // Cache to avoid re-binning every frame during hover + if (histData._lastYData === yData && histData.bins) return; + histData._lastYData = yData; + + let min = histData.min; + let max = histData.max; + if (min == null || max == null) { + let lo = Infinity, + hi = -Infinity, + cnt = 0; + for (let i = 0; i < yData.length; i++) { + const v = yData[i]; + if (v == null || !isFinite(v)) continue; + if (v < lo) lo = v; + if (v > hi) hi = v; + cnt++; + } + if (!cnt) return; + min = lo; + max = hi; + histData.min = min; + histData.max = max; + } + + const bins = new Array(BINS).fill(0); + const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km) + + const span = max - min || 1; + const metricKey = + histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def); + const incZero = + !metricKey || + metricsIncludingZero.has(metricKey) || + (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed'); + + for (let i = 0; i < yData.length; i++) { + const v = yData[i]; + if (v == null || !isFinite(v)) continue; + if (v === 0 && !incZero) continue; + + const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS)); + bins[bi]++; + + // weight by x-delta + const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!; + const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!; + binAccum[bi] += (next - prev) / 2; + } + histData.bins = bins; + histData.binAccum = binAccum; + } + + function redrawHistograms() { + plots.forEach(({ histCanvas, histData, uplot: u }) => { + drawHistogram(histCanvas, histData, u.height); + }); + } + + function drawHistogram( + canvas: HTMLCanvasElement, + histData: HistData, + chartH: number, + hoverBinI: number | null = null, + ) { + const { def, BINS } = histData; + buildHistBins(histData); + const { bins, min, max } = histData; + if (!bins || min == null || max == null) return; + + const hasSel = selAnchorVal != null && selEndVal != null; + + // Compute selection bins if a range is active and changed + if ( + hasSel && + (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal) + ) { + histData._lastSelRange = [selAnchorVal!, selEndVal!]; + const selBins = new Array(BINS).fill(0); + const selBinAccum = new Array(BINS).fill(0); + const { yData, xData } = histData; + const span = max - min || 1; + const metricKey = + histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def); + const incZero = + !metricKey || + metricsIncludingZero.has(metricKey) || + (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed'); + + for (let i = 0; i < yData.length; i++) { + const v = yData[i]; + if (v == null || !isFinite(v)) continue; + if (v === 0 && !incZero) continue; + + const x = xData[i]; + if (x == null || x < selAnchorVal! || x > selEndVal!) continue; + const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS)); + selBins[bi]++; + const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!; + const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!; + selBinAccum[bi] += (next - prev) / 2; + } + histData.selBins = selBins; + histData.selBinAccum = selBinAccum; + } else if (!hasSel) { + histData.selBins = null; + histData.selBinAccum = null; + histData._lastSelRange = null; + } + const selBins = histData.selBins; + + const dpr = window.devicePixelRatio || 1; + const W = HIST_W; + const H = chartH; + + // Performance: only set dimensions if they changed (resets canvas) + if (canvas.width !== W * dpr || canvas.height !== H * dpr) { + canvas.width = W * dpr; + canvas.height = H * dpr; + canvas.style.width = `${W}px`; + canvas.style.height = `${H}px`; + } + + const ctx = canvas.getContext('2d')!; + ctx.resetTransform(); + ctx.scale(dpr, dpr); + ctx.clearRect(0, 0, W, H); + + const peak = Math.max(...bins); + + // Measure label width so bars start right after them + const fmt = (v: number) => def.fmtAxis(v); + const fontStr = '9px system-ui, sans-serif'; + if (ctx.font !== fontStr) ctx.font = fontStr; + const labelW = Math.ceil( + Math.max( + ctx.measureText(`${fmt(max)} ${def.unit}`).width, + ctx.measureText(`${fmt(min)} ${def.unit}`).width, + ), + ); + + // Vertical alignment with main graph: + // uPlot padding: [4, 0, 0, 0] + // Axis size: 30 + const pad = { t: 4, r: 0, b: 30, l: labelW + 6 }; + histData.padL = pad.l; + const plotW = W - pad.l - pad.r; + const plotH = H - pad.t - pad.b; + + // bin 0 = lowest values → drawn at bottom; bin BINS-1 = highest → drawn at top + const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS); + const binH = plotH / BINS - 1; + + // Full distribution (dimmed when selection active) + const baseAlpha = hasSel ? 0.15 : 0.6; + ctx.fillStyle = hexToRgba(def.color, baseAlpha); + for (let i = 0; i < BINS; i++) { + if (!bins[i]) continue; + const bw = (bins[i] / peak) * plotW; + ctx.fillRect(pad.l, binY(i), bw, binH); + } + + // Selection overlay (bright) + if (selBins) { + ctx.fillStyle = hexToRgba(def.color, 0.85); + for (let i = 0; i < BINS; i++) { + if (!selBins[i]) continue; + const bw = (selBins[i] / peak) * plotW; + ctx.fillRect(pad.l, binY(i), bw, binH); + } + ctx.fillStyle = def.color; + ctx.fillRect(pad.l, pad.t, 2, plotH); + } + + // CDF overlay — smooth curve from bottom (0%) to top (100%) + const total = bins.reduce((s, v) => s + v, 0); + if (total > 0) { + // Build CDF points: one per bin boundary, bottom→top + const pts2 = [{ x: pad.l, y: pad.t + plotH }]; + let cumSum = 0; + for (let i = 0; i < BINS; i++) { + cumSum += bins[i]; + pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) }); + } + + ctx.beginPath(); + // CDF line is now solid + ctx.setLineDash([]); + ctx.strokeStyle = def.color; + ctx.lineWidth = 0.75 * dpr; + ctx.lineJoin = 'round'; + ctx.moveTo(pts2[0].x, pts2[0].y); + for (let i = 1; i < pts2.length - 1; i++) { + const mx = (pts2[i].x + pts2[i + 1].x) / 2; + const my = (pts2[i].y + pts2[i + 1].y) / 2; + ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my); + } + ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y); + ctx.stroke(); + + // ── Hover highlight on CDF ── + if (hoverBinI != null && pts2[hoverBinI + 1]) { + const cp = pts2[hoverBinI + 1]; + // Vertical line down + ctx.beginPath(); + ctx.setLineDash([2 * dpr, 2 * dpr]); + ctx.strokeStyle = hexToRgba(def.color, 0.6); + ctx.moveTo(cp.x, cp.y); + ctx.lineTo(cp.x, pad.t + plotH); + ctx.stroke(); + ctx.setLineDash([]); + + // Dot: tiny precision point + ctx.beginPath(); + ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2); + ctx.fillStyle = '#0e0e10'; + ctx.fill(); + ctx.strokeStyle = def.color; + ctx.lineWidth = 1 * dpr; + ctx.stroke(); + } + } + + // Axis labels: max at top, min at bottom + if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896'; + const font9 = '9px system-ui, sans-serif'; + if (ctx.font !== font9) ctx.font = font9; + ctx.textAlign = 'right'; + + // Draw Max + ctx.textBaseline = 'top'; + ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t); + + // Draw Min + ctx.textBaseline = 'bottom'; + ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b); + + // Draw Avg (only if it doesn't overlap min/max) + const stats = + !hasSel && histData.fullStatsAll !== undefined + ? histData.fullStatsAll + : rangeStats( + histData.xData, + histData.yData, + selAnchorVal || -Infinity, + selEndVal || Infinity, + ); + if (stats) { + const avgY = + pad.t + + (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) * + (plotH / BINS); + const minLabelY = H - pad.b; + const maxLabelY = pad.t; + const labelHeight = 10; // Approx 10px height for 9px font + + if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) { + ctx.textBaseline = 'middle'; + if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa'; + ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY); + // Draw small indicator tick + ctx.beginPath(); + ctx.moveTo(pad.l - 3, avgY); + ctx.lineTo(pad.l, avgY); + if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa'; + ctx.lineWidth = 1; + ctx.stroke(); + } + } + + // ── Higher/Lower percentages below histogram ── + if (hoverBinI != null && total > 0) { + let countLower = 0; + for (let i = 0; i < hoverBinI; i++) countLower += bins[i]; + let countHigher = 0; + for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i]; + + const pLower = Math.round((countLower / total) * 100); + const pHigher = Math.round((countHigher / total) * 100); + + ctx.save(); + ctx.textAlign = 'left'; + ctx.textBaseline = 'top'; + const font8 = '8px system-ui, sans-serif'; + if (ctx.font !== font8) ctx.font = font8; + + const textY = H - pad.b + 6; + + // Draw "Lower" stat + if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896'; + ctx.fillText('LOWER', pad.l, textY); + if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc'; + const fontB10 = 'bold 10px system-ui, sans-serif'; + if (ctx.font !== fontB10) ctx.font = fontB10; + ctx.fillText(`${pLower}%`, pad.l, textY + 10); + + // Draw "Higher" stat + const midX = pad.l + plotW / 2; + if (ctx.font !== font8) ctx.font = font8; + if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896'; + ctx.fillText('HIGHER', midX, textY); + if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc'; + if (ctx.font !== fontB10) ctx.font = fontB10; + ctx.fillText(`${pHigher}%`, midX, textY + 10); + + ctx.restore(); + } + } + + function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) { + const { plot } = histData; + + canvas.addEventListener('click', (e) => { + const binI = getBinAt(canvas, histData, e); + if (binI != null && plot) { + const { min, max, BINS } = histData; + const span = max! - min! || 1; + plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!); + plots.forEach(({ uplot: u }) => u.redraw(false)); + } + }); + + canvas.addEventListener('mousemove', (e) => { + lastHistMouseEvent = e; + updateHistTooltip(e, canvas, histData); + }); + + canvas.addEventListener('mouseenter', () => { + hoveredHistCanvas = canvas; + hoveredHistData = histData; + }); + + canvas.addEventListener('mouseleave', () => { + if (hoveredHistCanvas === canvas) { + hoveredHistCanvas = null; + hoveredHistData = null; + } + if (histTooltipEl) histTooltipEl.style.display = 'none'; + const lineEl = document.getElementById('hist-line'); + if (lineEl) lineEl.style.display = 'none'; + if (plot) { + plot.hoveredHistY = null; + drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1)); + } + }); + } + + function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) { + const { bins, BINS } = histData; + if (!bins) return null; + const rect = canvas.getBoundingClientRect(); + const relY = e.clientY - rect.top; + // Use exact padding from drawHistogram: t: 4, b: 30 + const pad = { t: 4, b: 30 }; + const plotH = rect.height - pad.t - pad.b; + const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!); + const binI = BINS! - 1 - rawI; + if (rawI < 0 || rawI >= BINS!) return null; + return binI; + } + + function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) { + if (!histTooltipEl) return; + const { bins, binAccum, min, max, BINS, def, plot } = histData; + if (!bins || !binAccum || min == null || max == null) return; + + const lineEl = document.getElementById('hist-line'); + const binI = getBinAt(canvas, histData, e); + + if (binI == null || !bins[binI]) { + histTooltipEl.style.display = 'none'; + if (lineEl) lineEl.style.display = 'none'; + if (plot) { + plot.hoveredHistY = null; + drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1)); + } + return; + } + + if (plot) { + const span = max - min || 1; + plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!); + drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI); + } + + const count = bins[binI]; + const total = bins.reduce((s, v) => s + v, 0); + const pct = (count / total) * 100; + + const span = max - min || 1; + const low = min + binI * (span / BINS!); + const high = min + (binI + 1) * (span / BINS!); + const label = `${def.fmt(low, true)} – ${def.fmt(high, true)} ${def.unit}`; + + // Zone info + let zoneHtml = ''; + const mid = (low + high) / 2; + const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def); + let zones: any[] = []; + if (metricKey === 'power') zones = Zones.getPowerZones(); + else if (metricKey === 'hr') zones = Zones.getHRZones(); + + if (zones.length > 0) { + const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max); + const z = + zIdx !== -1 + ? zones[zIdx] + : mid >= zones[zones.length - 1].min + ? zones[zones.length - 1] + : null; + if (z) { + const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1; + zoneHtml = ` +
+ Z${finalZIdx + 1} + · + ${z.name} +
+ `; + } + } + + const totalAccum = + xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]); + const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100; + + let html = ` +
${label}
+ ${zoneHtml} + `; + + if (totalAccum) { + html += `
+ ${xAxis === 'distance' ? 'Dist' : 'Time'} + ${totalAccum} + ${totalPct.toFixed(1)}% +
`; + } + + // Selection context + if (histData.selBins && histData.selBinAccum) { + const stotalAccum = + xAxis === 'distance' + ? `${histData.selBinAccum[binI].toFixed(2)} km` + : fmtSecs(histData.selBinAccum[binI]); + const stotalPct = + (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100; + + html += ` +
+ Sel ${xAxis === 'distance' ? 'Dist' : 'Time'} + ${stotalAccum} + ${stotalPct.toFixed(1)}% +
+ `; + } + + histTooltipEl.innerHTML = html; + + // Position tooltip: fixed X left of canvas, Y centered on bin + histTooltipEl.style.display = 'block'; + const ttH = histTooltipEl.offsetHeight; + const ttW = histTooltipEl.offsetWidth; + const rect = canvas.getBoundingClientRect(); + const plotH = rect.height - 4 - 30; // pad.t + pad.b + const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!); + + histTooltipEl.style.left = `${rect.left - ttW - 12}px`; + histTooltipEl.style.top = `${binCenterY - ttH / 2}px`; + + // Horizontal line sync + if (lineEl) { + lineEl.style.display = 'block'; + lineEl.style.top = `${binCenterY}px`; + lineEl.style.left = '0px'; + lineEl.style.width = `${rect.left}px`; + } + } + + // ── Helpers ─────────────────────────────────────────────────── + function destroyPlots(keepState = false) { + if (histTooltipEl) histTooltipEl.style.display = 'none'; + plots.forEach(({ uplot: u, row }) => { + syncKey!.unsub(u); + u.destroy(); + row.remove(); + }); + plots = []; + renderedTrack = null; + if (!keepState) { + selAnchorVal = null; + selEndVal = null; + } + isDragging = false; + } + + function rangeStats( + xData: (number | null)[], + yData: (number | null)[], + xMin: number, + xMax: number, + incZero = true, + ) { + let min = Infinity, + max = -Infinity, + sum = 0, + n = 0; + for (let i = 0; i < xData.length; i++) { + if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue; + const v = yData[i]; + if (v == null || !isFinite(v)) continue; + if (v === 0 && !incZero) continue; + + if (v < min) min = v; + if (v > max) max = v; + sum += v; + n++; + } + return n ? { min, max, avg: sum / n } : null; + } + + function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) { + let gain = 0, + loss = 0; + let prevEle: number | null = null; + const isDist = xAxis === 'distance'; + const t0 = pts[0].time || 0; + + for (let i = 0; i < pts.length; i++) { + const p = pts[i]; + const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000; + if (x < xMin || x > xMax) continue; + + if (p.ele != null) { + if (prevEle != null) { + const diff = p.ele - prevEle; + if (diff > 0) gain += diff; + else if (diff < 0) loss += Math.abs(diff); + } + prevEle = p.ele; + } + } + return { gain, loss }; + } + + // ── Plot Rendering Helpers (Canvas) ─────────────────────────── + function updateTooltip( + u: WegPlot, + el: HTMLElement, + idx: number, + xData: (number | null)[], + yData: (number | null)[], + pts: TrackPoint[], + def: MetricDefinition, + metricKey: string, + ) { + if (idx == null || yData[idx] == null) { + el.style.display = 'none'; + return; + } + + const cx = u.valToPos(xData[idx]!, 'x', false); + const cy = u.valToPos(yData[idx]!, 'y', false); + + let gColor = '#888896'; + let g = 0; + if (idx > 0 && pts[idx] && pts[idx - 1]) { + const p0 = pts[idx - 1], + p1 = pts[idx]; + const d = (p1.dist || 0) - (p0.dist || 0); + if (d > 0.1 && p1.ele != null && p0.ele != null) { + g = ((p1.ele - p0.ele) / d) * 100; + gColor = gradientColor(g); + } + } + + let content = + metricKey !== 'elevation' + ? `${def.fmt(yData[idx]!, false)} ${def.unit}` + : `${def.fmt(yData[idx]!, false)} ${def.unit} ∠ ${Math.abs(g).toFixed(1)}%`; + + // Special handling for gears: show tooth count if available + if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) { + content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`; + } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) { + content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`; + } else if (metricKey === 'gears') { + const p = pts[idx]; + const front = + p.gearFrontTooth != null + ? `${p.gearFrontTooth}T` + : p.gearFront != null + ? `pos ${p.gearFront}` + : ''; + const rear = + p.gearRearTooth != null + ? `${p.gearRearTooth}T` + : p.gearRear != null + ? `pos ${p.gearRear}` + : ''; + + if (front || rear) + content += ` (${front} / ${rear})`; + } + + if (el.innerHTML !== content) el.innerHTML = content; + + const color44 = `${def.color}44`; + if (el.style.color !== def.color) el.style.color = def.color; + if (el.style.borderColor !== color44) el.style.borderColor = color44; + + const left = `${cx}px`; + const top = `${cy}px`; + const transform = 'translate(6px, -50%)'; + if (el.style.left !== left) el.style.left = left; + if (el.style.top !== top) el.style.top = top; + if (el.style.transform !== transform) el.style.transform = transform; + if (el.style.display !== '') el.style.display = ''; + } + + const gradientColorRgbaCache = new Map(); + function gradientColorRgba(g: number | null): string { + let c = gradientColorRgbaCache.get(g); + if (!c) { + c = hexToRgba(gradientColor(g), 0.8); + gradientColorRgbaCache.set(g, c); + } + return c; + } + + function drawElevationGradient( + u: uPlot, + xData: number[], + yData: number[], + gradData: (number | null)[] | null, + ) { + const ctx = u.ctx; + const bb = u.bbox; + const dpr = window.devicePixelRatio || 1; + const xMin = u.scales.x?.min ?? -Infinity; + const xMax = u.scales.x?.max ?? Infinity; + const yMin = u.scales.y?.min ?? 0; + const yMax = u.scales.y?.max ?? 100; + const xScale = bb.width / (xMax - xMin || 1); + const yScale = bb.height / (yMax - yMin || 1); + const yBase = bb.top + bb.height; + + const idxs = u.series[0]?.idxs; + const iStart = idxs ? Math.max(1, idxs[0]) : 1; + const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1; + const step = Math.max(1, Math.floor((iEnd - iStart) / 250)); + + ctx.save(); + ctx.lineWidth = 1.5 * dpr; + + const byColor = new Map(); + + let prevIdx = iStart - 1; + for (let i = iStart; i <= iEnd; i += step) { + const xv1 = xData[i]; + const xv0 = xData[prevIdx]; + prevIdx = i; + if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue; + if (xv1 < xMin || xv0 > xMax) continue; + + const x0 = bb.left + (xv0 - xMin) * xScale; + const y0 = yBase - (yData[i - step]! - yMin) * yScale; + const x1 = bb.left + (xv1 - xMin) * xScale; + const y1 = yBase - (yData[i]! - yMin) * yScale; + + const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null; + const color = gradientColorRgba(g); + let segs = byColor.get(color); + if (!segs) { + segs = []; + byColor.set(color, segs); + } + segs.push(x0, y0, x1, y1); + } + + for (const [color, segs] of byColor) { + ctx.beginPath(); + ctx.strokeStyle = color; + for (let j = 0; j < segs.length; j += 4) { + ctx.moveTo(segs[j], segs[j + 1]); + ctx.lineTo(segs[j + 2], segs[j + 3]); + } + ctx.stroke(); + } + + ctx.restore(); + } + + function drawGradientChart(u: uPlot, xData: number[], yData: number[]) { + const ctx = u.ctx; + const bb = u.bbox; + const dpr = window.devicePixelRatio || 1; + const xMin = u.scales.x?.min ?? -Infinity; + const xMax = u.scales.x?.max ?? Infinity; + const yMin = u.scales.y?.min ?? 0; + const yMax = u.scales.y?.max ?? 100; + const xScale = bb.width / (xMax - xMin || 1); + const yScale = bb.height / (yMax - yMin || 1); + const yBase = bb.top + bb.height; + + const idxs = u.series[0]?.idxs; + const iStart = idxs ? Math.max(1, idxs[0]) : 1; + const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1; + const step = Math.max(1, Math.floor((iEnd - iStart) / 250)); + + ctx.save(); + ctx.lineWidth = 1.5 * dpr; + + const byColor = new Map(); + + let prevIdx = iStart - 1; + for (let i = iStart; i <= iEnd; i += step) { + const xv1 = xData[i]; + const xv0 = xData[prevIdx]; + prevIdx = i; + if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue; + if (xv1 < xMin || xv0 > xMax) continue; + + const x0 = bb.left + (xv0 - xMin) * xScale; + const y0 = yBase - (yData[i - step]! - yMin) * yScale; + const x1 = bb.left + (xv1 - xMin) * xScale; + const y1 = yBase - (yData[i]! - yMin) * yScale; + + const g = Math.round(yData[i]! / 2) * 2; + const color = gradientColorRgba(g); + let segs = byColor.get(color); + if (!segs) { + segs = []; + byColor.set(color, segs); + } + segs.push(x0, y0, x1, y1); + } + + for (const [color, segs] of byColor) { + ctx.beginPath(); + ctx.strokeStyle = color; + for (let j = 0; j < segs.length; j += 4) { + ctx.moveTo(segs[j], segs[j + 1]); + ctx.lineTo(segs[j + 2], segs[j + 3]); + } + ctx.stroke(); + } + + ctx.restore(); + } + + function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) { + const idx = u.cursor.idx; + if (idx == null || yData[idx] == null || u.cursor.left! < 0) return; + + const t0 = pts[0].time || 0; + const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000; + const cx = u.valToPos(xVal, 'x', true); + const cy = u.valToPos(yData[idx], 'y', true); + const bb = u.bbox; + const ctx = u.ctx; + const dpr = window.devicePixelRatio || 1; + + // Line from top to point + horizontal from left + ctx.save(); + ctx.beginPath(); + ctx.setLineDash([2 * dpr, 2 * dpr]); + ctx.strokeStyle = hexToRgba(color, 0.4); + ctx.lineWidth = 1 * dpr; + ctx.moveTo(cx, bb.top); + ctx.lineTo(cx, cy); + ctx.moveTo(bb.left, cy); + ctx.lineTo(cx, cy); + ctx.stroke(); + + // Dot at point + ctx.beginPath(); + ctx.setLineDash([]); // Ensure solid outline + ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2); + ctx.fillStyle = '#0e0e10'; + ctx.fill(); + ctx.strokeStyle = color; + ctx.lineWidth = 2 * dpr; + ctx.stroke(); + ctx.restore(); + } + + function drawVerticalLineOnly( + u: uPlot, + pts: TrackPoint[], + idx: number, + color: string, + opacity: number = 1.0, + ) { + const dpr = window.devicePixelRatio || 1; + const bb = u.bbox; + const ctx = u.ctx; + const xVal = + xAxis === 'distance' + ? (pts[idx].dist || 0) / 1000 + : (pts[idx].time! - (pts[0].time || 0)) / 1000; + const cx = u.valToPos(xVal, 'x', true); + + ctx.save(); + ctx.globalAlpha = opacity; + ctx.beginPath(); + ctx.strokeStyle = color; + ctx.lineWidth = 1 * dpr; + // Dotted line range should match where labels are (flush top to bottom axis) + ctx.moveTo(cx, bb.top + 16 * dpr); + ctx.lineTo(cx, bb.top + bb.height + 10 * dpr); + ctx.stroke(); + ctx.restore(); + } + + function drawXAxisLabels( + u: uPlot, + pts: TrackPoint[], + idx: number, + color: string, + skipLine = false, + opacity: number = 1.0, + ) { + const dpr = window.devicePixelRatio || 1; + const bb = u.bbox; + const ctx = u.ctx; + const t0 = pts[0].time || 0; + const distVal = (pts[idx].dist || 0) / 1000; + const timeVal = (pts[idx].time! - t0) / 1000; + const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true); + + // Bottom label: matches the current X axis unit + const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal); + // Top label: shows the other unit (simplified) + const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`; + + const drawPill = (text: string, x: number, y: number, isTop: boolean) => { + const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`; + if (ctx.font !== fontStr) ctx.font = fontStr; + const tw = ctx.measureText(text).width; + const bw = tw + 10 * dpr; + const bh = 16 * dpr; + const rx = x - bw / 2; + const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx)); + const ry = y - bh / 2; + + ctx.save(); + ctx.globalAlpha = opacity; + ctx.setLineDash([]); // Ensure pills are not dashed + ctx.beginPath(); + if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr); + else ctx.rect(clampedRx, ry, bw, bh); + ctx.fillStyle = 'rgba(14,14,16,0.92)'; + ctx.fill(); + ctx.strokeStyle = hexToRgba(color, 0.27); + ctx.lineWidth = 1 * dpr; + ctx.stroke(); + + ctx.fillStyle = color; + ctx.textAlign = 'center'; + ctx.textBaseline = 'middle'; + ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr); + ctx.restore(); + }; + + if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity); + + const pillH = 16 * dpr; + // Top label: flush to the top edge of the plot + drawPill(topLabel, cx, bb.top + pillH / 2, true); + + // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area) + drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false); + } + + function drawPinnedDot( + u: uPlot, + xData: (number | null)[], + yData: (number | null)[], + color: string, + def: MetricDefinition, + pts: TrackPoint[], + metricKey: string, + ) { + if (pinnedPtIdx == null) return; + const xVal = xData[pinnedPtIdx]; + const yVal = yData[pinnedPtIdx]; + if (xVal == null || yVal == null) return; + + const cx = u.valToPos(xVal, 'x', true); + const cy = u.valToPos(yVal, 'y', true); + const bb = u.bbox; + const ctx = u.ctx; + const dpr = window.devicePixelRatio || 1; + + ctx.save(); + // Vertical line + ctx.beginPath(); + ctx.strokeStyle = color; + ctx.lineWidth = 1.5 * dpr; + ctx.moveTo(cx, bb.top); + ctx.lineTo(cx, bb.top + bb.height); + ctx.stroke(); + + // Horizontal dashed line + ctx.beginPath(); + ctx.setLineDash([3 * dpr, 3 * dpr]); + ctx.strokeStyle = hexToRgba(color, 0.5); + ctx.lineWidth = 1 * dpr; + ctx.moveTo(bb.left, cy); + ctx.lineTo(cx, cy); + ctx.stroke(); + + // Large Dot + ctx.beginPath(); + ctx.setLineDash([]); // Ensure solid outline + ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2); + ctx.fillStyle = '#0e0e10'; + ctx.fill(); + ctx.strokeStyle = color; + ctx.lineWidth = 2.5 * dpr; + ctx.stroke(); + ctx.restore(); + + const s = (u as any)._strasse; + if (s && s.pinYVal) { + updateTooltip( + u, + s.pinYVal, + pinnedPtIdx, + xData as number[], + yData as (number | null)[], + pts, + def, + metricKey, + ); + } + } + + function drawYAxisHighlight( + u: uPlot, + xData: (number | null)[], + yData: (number | null)[], + yVal: number, + color: string, + def: MetricDefinition, + ) { + const bb = u.bbox; + const ctx = u.ctx; + const dpr = window.devicePixelRatio || 1; + const cy = u.valToPos(yVal, 'y', true); + + // Clamp cy to bbox + const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy)); + + ctx.save(); + // Horizontal line + ctx.beginPath(); + ctx.setLineDash([4 * dpr, 4 * dpr]); + ctx.strokeStyle = hexToRgba(color, 0.4); + ctx.lineWidth = 1 * dpr; + ctx.moveTo(bb.left, cyClamp); + ctx.lineTo(bb.left + bb.width, cyClamp); + ctx.stroke(); + + // Fill area above/below + drawAreaFillAbove(u, xData, yData, cyClamp, color); + + // Pill label on Y-axis + const label = def.fmt(yVal, true); + const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`; + if (ctx.font !== fontStr) ctx.font = fontStr; + const tw = ctx.measureText(label).width; + const bw = tw + 8 * dpr; + const bh = 16 * dpr; + const bx = bb.left - bw - 2 * dpr; + const by = cyClamp - bh / 2; + + ctx.beginPath(); + ctx.setLineDash([]); + if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr); + else ctx.rect(bx, by, bw, bh); + ctx.fillStyle = 'rgba(14,14,16,0.95)'; + ctx.fill(); + ctx.strokeStyle = color; + ctx.lineWidth = 1 * dpr; + ctx.stroke(); + + ctx.fillStyle = '#fff'; + ctx.textAlign = 'center'; + ctx.textBaseline = 'middle'; + ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr); + ctx.restore(); + } + + function drawAreaFillAbove( + u: uPlot, + xData: (number | null)[], + yData: (number | null)[], + cyClamp: number, + color: string, + ) { + const ctx = u.ctx; + const bb = u.bbox; + const xMin = u.scales.x?.min ?? -Infinity; + const xMax = u.scales.x?.max ?? Infinity; + const yMin = u.scales.y?.min ?? 0; + const yMax = u.scales.y?.max ?? 100; + const xScale = bb.width / (xMax - xMin || 1); + const yScale = bb.height / (yMax - yMin || 1); + const yDir = u.scales.y?.dir ?? 1; + const yBase = yDir === -1 ? bb.top : bb.top + bb.height; + const yMult = yDir === -1 ? yScale : -yScale; + + const idxs = u.series[0]?.idxs; + const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0; + const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1; + const step = Math.max(1, Math.floor((iEnd - iStart) / 250)); + + ctx.save(); + ctx.beginPath(); + ctx.rect(bb.left, bb.top, bb.width, bb.height); + ctx.clip(); + + ctx.fillStyle = hexToRgba(color, 0.2); + ctx.beginPath(); + + let inSegment = false; + let hasAnySegment = false; + let lastPx = 0; + + for (let i = iStart; i <= iEnd; i += step) { + const xv = xData[i]; + const yv = yData[i]; + if (xv == null || yv == null || xv < xMin || xv > xMax) { + if (inSegment) { + ctx.lineTo(lastPx, cyClamp); + ctx.closePath(); + inSegment = false; + } + continue; + } + + const px = bb.left + (xv - xMin) * xScale; + const py = yBase + (yv - yMin) * yMult; + lastPx = px; + + if (py < cyClamp) { + if (!inSegment) { + ctx.moveTo(px, cyClamp); + inSegment = true; + hasAnySegment = true; + } + ctx.lineTo(px, py); + } else if (inSegment) { + ctx.lineTo(px, cyClamp); + ctx.closePath(); + inSegment = false; + } + } + + if (inSegment) { + ctx.lineTo(lastPx, cyClamp); + ctx.closePath(); + } + + if (hasAnySegment) { + ctx.fill(); + } + + ctx.restore(); + } + + // ── Utils ───────────────────────────────────────────────────── + function lerpHex(a: string, b: string, t: number) { + const ah = parseInt(a.slice(1), 16), + bh = parseInt(b.slice(1), 16); + const ar = ah >> 16, + ag = (ah >> 8) & 0xff, + ab = ah & 0xff; + const br = bh >> 16, + bg = (bh >> 8) & 0xff, + bb = bh & 0xff; + const rr = ar + (br - ar) * t, + rg = ag + (bg - ag) * t, + rb = ab + (bb - ab) * t; + return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb)) + .toString(16) + .slice(1)}`; + } + + function gradientColor(g: number | null) { + if (g == null) return '#888896'; + const absG = Math.abs(g); + const t = Math.min(1, absG / 8); + if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red + return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue + } + + function speedColor(s: number | null) { + if (s == null) return '#888896'; + const kmh = s * 3.6; + + if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow + if (kmh >= 60) return '#d73027'; // Solid Red for very fast + + // High resolution between 5 and 45 (10km/h per segment) + if (kmh <= 45) { + const t = (kmh - 5) / 40; // 0 to 1 + if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue + if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green + if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow + return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange + } else { + // 45-60: Orange -> Red + const t = (kmh - 45) / 15; + return lerpHex('#fc8d59', '#d73027', t); + } + } + + function smoothGradient(pts: TrackPoint[], windowMetres: number) { + const grads: (number | null)[] = new Array(pts.length).fill(null); + for (let i = 0; i < pts.length; i++) { + const p = pts[i]; + let j0 = i, + j1 = i; + while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--; + while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++; + const d = (pts[j1].dist || 0) - (pts[j0].dist || 0); + if (d > 1 && pts[j1].ele != null && pts[j0].ele != null) + grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100; + } + return grads; + } + + function fillNulls(data: (number | null)[]) { + const res = [...data]; + for (let i = 0; i < res.length; i++) { + if (res[i] === null) { + let left = i - 1; + while (left >= 0 && res[left] === null) left--; + let right = i + 1; + while (right < res.length && res[right] === null) right++; + if (left >= 0 && right < res.length) + res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left); + else if (left >= 0) res[i] = res[left]; + else if (right < res.length) res[i] = res[right]; + } + } + return res; + } + + function updateStats(track: TrackData) { + const s = track.stats; + const fmt = (id: string, val: string) => { + const el = document.querySelector(`#${id} .stat-value`); + if (el) el.textContent = val; + }; + fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '—'); + fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '—'); + fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '—'); + + // Recalculate averages from visible plot data to respect zero filtering + const getAvg = (key: string) => { + const p = plots.find((p) => p.metricKey === key); + if (!p) { + if (key === 'speed') return s.avgSpeed ?? null; + if (key === 'power') return s.avgPower ?? null; + if (key === 'cadence') return s.avgCadence ?? null; + return null; + } + if (p.histData.fullStats !== undefined) { + return p.histData.fullStats ? p.histData.fullStats.avg : null; + } + const incZero = + metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed'); + const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0)); + if (!vals.length) return null; + return vals.reduce((a, b) => a + b, 0) / vals.length; + }; + + const avgSpeed = getAvg('speed'); + fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '—'); + + const avgPower = getAvg('power'); + fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '—'); + + const avgCadence = getAvg('cadence'); + fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '—'); + + fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '—'); + fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} °C` : '—'); + } + + return { + init, + loadTrack, + clear, + resetState, + toggleMetric, + setXAxis, + toggleStats, + setSelectionStats, + clearSelectionStats, + restoreSelection, + resetZoom, + cancelSelection, + setCursorAt: (idx: number, deferRender = false) => { + pinnedPtIdx = idx; + if (onPinChangeCb) onPinChangeCb(idx); + if (deferRender) { + if (onCursorMoveCb && currentTrack?.points?.[idx]) { + onCursorMoveCb(currentTrack.points[idx]); + } + return; + } + cursorSyncing = true; + plots.forEach(({ uplot: u, yData, xData }) => { + if (xData[idx] != null && yData[idx] != null) { + u.batch(() => { + (u as any).setCursor( + { + left: u.valToPos(xData[idx]!, 'x'), + top: u.valToPos(yData[idx]!, 'y'), + }, + true, + false, + ); + }); + } + }); + cursorSyncing = false; + if (onCursorMoveCb && currentTrack?.points?.[idx]) { + onCursorMoveCb(currentTrack.points[idx]); + } + }, + setHoverAt: (idx: number | null) => { + cursorSyncing = true; + plots.forEach(({ uplot: u, yData, xData }) => { + if (idx === null) { + u.batch(() => { + (u as any).setCursor({ left: -10, top: -10 }, true, false); + }); + } else if (xData[idx] != null && yData[idx] != null) { + u.batch(() => { + (u as any).setCursor( + { + left: u.valToPos(xData[idx]!, 'x'), + top: u.valToPos(yData[idx]!, 'y'), + }, + true, + false, + ); + }); + } + }); + cursorSyncing = false; + if (onCursorMoveCb) { + onCursorMoveCb( + idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null, + ); + } + }, + clearPinnedDot: () => { + pinnedPtIdx = null; + if (onPinChangeCb) onPinChangeCb(null); + plots.forEach(({ uplot: u }) => u.redraw(false)); + }, + resize, + METRICS, + isDragging: () => isDragging, + setMapColorChangeCb, + toggleMapColor, + getMapColorMetric: () => mapColorMetric, + getActiveMetrics: () => activeMetrics, + getAvailableMetrics: () => availableMetrics, + setActiveMetrics, + updateMetricOrder: (keys: string[]) => { + // Keys might only contain current active ones, or more. + // We want to re-order activeMetrics to match the order in 'keys' + const newActive = new Set(); + keys.forEach((k) => { + if (activeMetrics.has(k)) newActive.add(k); + }); + // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND) + activeMetrics.forEach((k) => { + if (!newActive.has(k)) newActive.add(k); + }); + activeMetrics = newActive; + if (currentTrack) render(true); + }, + getXAxis: () => xAxis, + }; + + function drawMetricColorFill( + u: uPlot, + xData: (number | null)[], + yData: (number | null)[], + pts: TrackPoint[], + metricKey: string, + ) { + const ctx = u.ctx; + const bb = u.bbox; + const dpr = window.devicePixelRatio || 1; + const colors = _computePointColors(metricKey, yData); + + ctx.save(); + ctx.beginPath(); + ctx.rect(bb.left, bb.top, bb.width, bb.height); + ctx.clip(); + + const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront'; + + for (let i = 1; i < xData.length; i++) { + if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null) + continue; + const x0 = u.valToPos(xData[i - 1]!, 'x', true); + const y0 = u.valToPos(yData[i - 1]!, 'y', true); + const x1 = u.valToPos(xData[i]!, 'x', true); + const y1 = u.valToPos(yData[i]!, 'y', true); + + const c = colors[i]; + + // Top line segment + ctx.beginPath(); + ctx.moveTo(x0, y0); + if (isStepped) ctx.lineTo(x1, y0); + + ctx.lineTo(x1, y1); + ctx.strokeStyle = c; + ctx.lineWidth = 2 * dpr; + ctx.stroke(); + } + + ctx.restore(); + } + + function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) { + if (!allTracks.length) return; + const ctx = u.ctx; + const bb = u.bbox; + const dpr = window.devicePixelRatio || 1; + const GAP_THRESHOLD = 60000; // 1 minute in ms + + ctx.save(); + ctx.beginPath(); + ctx.rect(bb.left, bb.top, bb.width, bb.height); + ctx.clip(); + + const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront'; + + for (const track of allTracks) { + if (currentTrack && track.id === currentTrack.id) continue; + + const pts = track.points; + const t0 = pts.find((p) => p.time != null)?.time || 0; + const field = def.field; + + ctx.beginPath(); + ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint + ctx.lineWidth = 1 * dpr; + + let first = true; + for (let i = 0; i < pts.length; i++) { + const p = pts[i]; + const v = p[field] as number; + + if (v == null) { + first = true; + continue; + } + + if (i > 0) { + const prev = pts[i - 1]; + const dt = p.time && prev.time ? p.time - prev.time : 0; + if (dt > GAP_THRESHOLD) first = true; + } + + const val = def.transform ? def.transform(v) : v; + if (val == null) { + first = true; + continue; + } + const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000; + + // Skip if way outside horizontal range + if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) { + first = true; + continue; + } + + const px = u.valToPos(xVal, 'x', true); + const py = u.valToPos(val, 'y', true); + + if (first) { + ctx.moveTo(px, py); + first = false; + } else { + if (isStepped) { + const prevP = pts[i - 1]; + const prevXVal = + xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000; + ctx.lineTo(u.valToPos(prevXVal, 'x', true), py); + } + ctx.lineTo(px, py); + } + } + ctx.stroke(); + } + + ctx.restore(); + } + + function drawTrackPath( + u: uPlot, + xData: (number | null)[], + yData: (number | null)[], + color: string, + width: number, + metricKey: string, + range: [number, number] | null = null, + pts: TrackPoint[] = [], + ) { + const ctx = u.ctx; + const bb = u.bbox; + const dpr = window.devicePixelRatio || 1; + const GAP_THRESHOLD = 60000; // 1 minute in ms + + ctx.save(); + ctx.beginPath(); + ctx.strokeStyle = hexToRgba(color, 0.8); + ctx.lineWidth = width * dpr; + + const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront'; + let first = true; + let lastFrontGear: number | null = null; + let fMin = 1; + let fMax = 1; + + if (metricKey === 'gears' && pts.length > 0) { + let lo = Infinity, + hi = -Infinity; + for (let i = 0; i < pts.length; i++) { + const fg = pts[i].gearFrontTooth ?? pts[i].gearFront; + if (fg != null) { + if (fg < lo) lo = fg; + if (fg > hi) hi = fg; + } + } + if (lo <= hi) { + fMin = lo; + fMax = hi; + } + } + + const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity); + const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity); + const xMin = u.scales.x?.min ?? -Infinity; + const xMax = u.scales.x?.max ?? Infinity; + const yMin = u.scales.y?.min ?? 0; + const yMax = u.scales.y?.max ?? 100; + const xScale = bb.width / (xMax - xMin || 1); + const yScale = bb.height / (yMax - yMin || 1); + const yDir = u.scales.y?.dir ?? 1; + const yBase = yDir === -1 ? bb.top : bb.top + bb.height; + const yMult = yDir === -1 ? yScale : -yScale; + + const idxs = !range ? u.series[0]?.idxs : null; + const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0; + const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1; + const step = + isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250)); + const isTimeAxis = xAxis === 'time'; + const gapSec = GAP_THRESHOLD / 1000; + let prevDrawnI = iStart; + + for (let i = iStart; i <= iEnd; i += step) { + const xv = xData[i]; + const yv = yData[i]; + if (xv == null || yv == null) { + first = true; + continue; + } + + if (metricKey === 'gears' && pts[i]) { + const fg = pts[i].gearFrontTooth ?? pts[i].gearFront; + if (fg != null && fg !== lastFrontGear) { + if (!first && i > 0) { + ctx.stroke(); + ctx.beginPath(); + const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale; + const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult; + ctx.moveTo(prevX, prevY); + } + + // Compute color + let segmentColor = color; + if (fMax !== fMin && fg != null) { + if (fg === fMin) + segmentColor = '#FFC400'; // Small ring: Yellow-Orange + else if (fg === fMax) + segmentColor = '#FF8C00'; // Big ring: Dark Orange + else segmentColor = '#FFA500'; // Middle ring: Orange + } + ctx.strokeStyle = hexToRgba(segmentColor, 0.8); + lastFrontGear = fg; + } + } + + // Check gap + if (i > iStart && isTimeAxis) { + const prevXv = xData[prevDrawnI]; + if (prevXv != null && xv - prevXv > gapSec) first = true; + } + + // Check range (or visible x-scale bounds) + if (xv < rMin || xv > rMax) { + first = true; + continue; + } + + const px = bb.left + (xv - xMin) * xScale; + const py = yBase + (yv - yMin) * yMult; + + if (first) { + ctx.moveTo(px, py); + first = false; + } else { + if (isStepped) { + const prevXv = xData[prevDrawnI]!; + ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py); + } + ctx.lineTo(px, py); + } + prevDrawnI = i; + } + ctx.stroke(); + ctx.restore(); + } +})(); diff --git a/suites-experimental/tools-gps-tracks/src/css/styles.css b/suites-experimental/tools-gps-tracks/src/css/styles.css new file mode 100644 index 0000000000..5af07ab7eb --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/css/styles.css @@ -0,0 +1,2403 @@ +/* + * Copyright (c) 2026, Camillo Bruni. + * Use of this source code is governed by a BSD-style license that can be + * found in the LICENSE file. + */ + +@import './uPlot.min.css'; + +/* ─── Variables ─────────────────────────────────────────── */ +@font-face { + font-family: 'Material Symbols Rounded'; + font-style: normal; + font-weight: 100 700; + src: url('../../material_symbols_rounded.woff2') format('woff2'); +} + +:root { + --bg: #0e0e10; + --surface: #18181b; + --surface2: #222226; + --border: #2e2e34; + --border2: #3a3a42; + --text: #e8e8ec; + --text-muted: #888896; + --text-dim: #555564; + --theme-color: #3b82f6; + --accent: var(--theme-color); + --accent-hover: color-mix(in srgb, var(--theme-color) 80%, white); + --danger: #ef4444; + --sidebar-w: 230px; + + /* Font Sizes */ + --fs-s: 10px; + --fs-m: 12px; + --fs-l: 14px; /* For titles only */ + + /* Icon Sizes */ + --is-s: 16px; + --is-m: 20px; + + --handle-color: #3b82f6; +} + +/* Font Size Classes */ +.font-s { + font-size: 10px; +} +.font-m { + font-size: 12px; +} +.font-l { + font-size: 14px; +} + +* { + box-sizing: border-box; +} + +body, +html { + margin: 0; + padding: 0; + width: 100%; + height: 100%; + background: var(--bg); + color: var(--text); + font-family: + system-ui, + -apple-system, + sans-serif; + font-size: var(--fs-m); +} + +body { + opacity: 1; +} + +body.loading-fonts { + opacity: 0; +} + +button { + font-family: inherit; + cursor: pointer; + font-size: var(--fs-m); +} + +/* Material symbols config */ +.material-symbols-rounded { + font-family: 'Material Symbols Rounded'; + font-weight: normal; + font-style: normal; + font-size: var(--is-m); + line-height: 1; + letter-spacing: normal; + text-transform: none; + display: inline-block; + white-space: nowrap; + word-wrap: normal; + direction: ltr; + -webkit-font-smoothing: antialiased; + font-variation-settings: + 'FILL' 0, + 'wght' 400, + 'GRAD' 0, + 'opsz' 24; +} + +/* ─── Layout ────────────────────────────────────────────── */ +#app { + display: flex; + width: 100vw; + height: 100vh; + overflow: hidden; +} + +.hidden { + display: none !important; +} + +#global-loader { + position: fixed; + inset: 0; + background: rgba(0, 0, 0, 0.7); + z-index: 10000; + display: flex; + align-items: center; + justify-content: center; +} + +#import-warning { +} + +.loader-box { + background: var(--surface); + border: 1px solid var(--border); + border-radius: 12px; + padding: 0; + display: flex; + flex-direction: row; + align-items: stretch; + color: var(--text); + font-weight: 700; + box-shadow: 0 4px 20px rgba(0, 0, 0, 0.5); + max-width: 450px; + width: 90%; + overflow: hidden; + position: relative; +} + +#loader-close { + position: absolute; + top: 12px; + right: 12px; + background: none; + border: none; + color: var(--text-muted); + cursor: pointer; + padding: 4px; + border-radius: 50%; + display: flex; + align-items: center; + justify-content: center; +} + +#loader-close:hover { + background: var(--surface2); + color: var(--text); +} + +.loader-icon-wrap { + background: color-mix(in srgb, var(--accent) 10%, transparent); + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + padding: 24px; + border-right: 1px solid var(--border); + gap: 8px; +} + +.loader-icon-wrap > span { + font-size: var(--fs-l); + color: var(--accent); +} + +#loader-warning-count { + font-size: var(--fs-m); + color: #f59e0b; + font-weight: 700; + display: none; + align-items: center; + gap: 4px; +} + +.loader-content { + padding: 24px; + flex: 1; + display: flex; + flex-direction: column; + gap: 12px; + justify-content: center; +} + +#loader-text { + font-size: var(--fs-l); + font-weight: 700; + color: var(--text); +} + +#loader-filename { + font-size: var(--fs-m); + color: var(--text-muted); + font-weight: 400; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; + width: 300px; +} + +#loader-progress-wrap { + width: 300px; + height: 4px; + background: var(--surface2); + border-radius: 2px; + margin-top: 4px; + overflow: hidden; +} + +#loader-subtext { + font-size: var(--fs-m); + color: var(--text-muted); + font-weight: 400; + display: flex; + align-items: center; + justify-content: space-between; + width: 300px; + margin-top: 0; +} + +.progress-index { + text-align: left; +} + +.progress-total { + text-align: right; +} + +#loader-progress-bar { + width: 0%; + height: 100%; + background: var(--accent); +} + +/* ─── Sidebar ───────────────────────────────────────────── */ +#sidebar { + width: var(--sidebar-w); + flex-shrink: 0; + display: flex; + flex-direction: column; + background: var(--surface); + border-right: 1px solid var(--border); + z-index: 10; +} + +#sidebar-header { + padding: 16px 12px; + border-bottom: 1px solid var(--border); +} + +.logo { + display: flex; + align-items: center; + gap: 10px; +} +.logo-icon { + color: var(--accent); + font-size: var(--fs-l); +} +.logo-title { + font-weight: 800; + font-size: var(--fs-l); + letter-spacing: -0.5px; +} +.logo-sub { + font-size: var(--fs-s); + text-transform: uppercase; + color: var(--text-dim); + font-weight: 700; + letter-spacing: 1px; + margin-top: -2px; +} + +/* Drop zone */ +#drop-zone { + margin: 12px; + padding: 20px 12px; + border: 2px dashed var(--border2); + border-radius: 12px; + display: flex; + flex-direction: column; + align-items: center; + text-align: center; + position: relative; +} +#drop-zone.drop-active { + border-color: var(--accent); + background: color-mix(in srgb, var(--theme-color) 5%, transparent); +} +.drop-icon { + font-size: var(--is-m); + color: var(--text-muted); + margin-bottom: 4px; +} +.drop-primary { + font-size: var(--fs-m); + font-weight: 600; + color: var(--text); +} +.drop-formats { + display: flex; + justify-content: center; + gap: 6px; + margin-top: 8px; +} +.drop-formats .badge { + background: var(--surface2); + color: var(--text-dim); + font-size: var(--fs-s); + padding: 2px 6px; +} + +.drop-browse-container { + margin-top: 12px; + font-size: var(--fs-s); + color: var(--text-muted); + display: flex; + align-items: center; + justify-content: center; + gap: 2px; +} +.drop-browse { + color: var(--accent); + font-weight: 600; + cursor: pointer; + display: inline-flex; + align-items: center; + gap: 4px; +} +.drop-browse .material-symbols-rounded { + font-size: var(--fs-l); +} +.drop-browse:hover { + color: var(--accent-hover); +} +.drop-separator { + margin: 0 6px; + color: var(--border2); + vertical-align: middle; +} + +/* Track list header */ +#track-list-header { + display: flex; + align-items: center; + justify-content: space-between; + padding: 12px 12px 8px; +} +.section-label { + font-size: var(--fs-s); + font-weight: 700; + text-transform: uppercase; + color: var(--text-dim); + letter-spacing: 0.5px; +} + +.header-actions { + display: flex; + gap: 0; +} + +#track-controls, +#sort-controls { + padding: 8px 12px; + display: flex; + flex-direction: column; + gap: 8px; + border-bottom: 1px solid var(--border); +} + +.search-bar { + display: flex; + background: var(--bg); + border: 1px solid var(--border); + border-radius: 6px; + padding: 2px 4px; + align-items: center; +} +.search-icon { + font-size: var(--is-s); + color: var(--text-dim); + margin-left: 4px; +} +.search-bar input { + flex: 1; + background: transparent; + border: none; + padding: 4px 6px; + color: var(--text); + font-size: var(--fs-m); +} +.search-bar input:focus { + outline: none; +} + +.icon-btn.mini { + width: 20px; + height: 20px; + color: var(--text-dim); +} +.icon-btn.mini .material-symbols-rounded { + font-size: var(--is-s); +} +.icon-btn.mini.active { + color: var(--accent); +} + +.sort-ctrl { + display: flex; + align-items: center; + gap: 8px; +} +.sort-ctrl label { + font-size: var(--fs-s); + color: var(--text-dim); + text-transform: uppercase; + font-weight: 600; +} + +.sort-select-btn { + display: flex; + align-items: center; + gap: 6px; + background: var(--surface2); + border: 1px solid var(--border); + padding: 4px 8px; + border-radius: 6px; + flex: 1; + height: 24px; + box-sizing: border-box; + font-size: var(--fs-s); + color: var(--text-muted); +} +.sort-select-btn:hover { + border-color: var(--accent); + color: var(--text); +} +.sort-select-btn .material-symbols-rounded { + font-size: var(--is-s); +} +.sort-select-btn .arrow { + font-size: var(--fs-l); + margin-left: auto; + opacity: 0.5; +} + +/* Filter panel */ +#filter-panel { + padding: 12px; + background: var(--surface2); + border-bottom: 1px solid var(--border); + display: flex; + flex-direction: column; + gap: 12px; +} +#filter-panel.hidden { + display: none; +} + +.filter-group { + display: flex; + flex-direction: column; + gap: 4px; +} +.filter-group label { + font-size: var(--fs-s); + font-weight: 600; + text-transform: uppercase; + color: var(--text-dim); + display: flex; + align-items: center; + gap: 6px; +} +.filter-group label .material-symbols-rounded { + font-size: var(--is-s); + opacity: 0.7; +} + +.filter-metrics-grid { + display: flex; + flex-wrap: wrap; + gap: 6px; + margin-top: 4px; +} + +.mini-pill { + width: 28px; + height: 28px; + display: flex; + align-items: center; + justify-content: center; + background: var(--surface); + border: 1px solid var(--border); + border-radius: 6px; + color: var(--text-dim); + cursor: pointer; +} +.mini-pill:hover { + border-color: var(--text-muted); + color: var(--text-muted); +} +.mini-pill.active { + background: var(--accent); + border-color: var(--accent); + color: white; +} +.mini-pill .material-symbols-rounded { + font-size: var(--is-s); +} + +.filter-row { + display: flex; + align-items: center; + gap: 6px; +} +.filter-row input { + flex: 1; + background: var(--bg); + border: 1px solid var(--border); + border-radius: 4px; + padding: 4px 6px; + color: var(--text); + font-size: var(--fs-s); +} +.filter-row span { + font-size: var(--fs-s); + color: var(--text-dim); +} +#filter-panel input:focus { + border-color: var(--accent); + outline: none; +} + +.filter-footer { + display: flex; + justify-content: flex-end; + margin-top: 4px; +} + +/* Track list */ +#track-list { + flex: 1; + overflow-y: auto; + padding: 4px 0; + scrollbar-width: none; +} +#track-list::-webkit-scrollbar { + width: 0; + height: 0; + display: none; +} +#track-list::-webkit-scrollbar-thumb { + background: var(--border2); + border-radius: 2px; +} + +#track-list-empty { + padding: 40px 20px; + text-align: center; + color: var(--text-dim); + font-size: var(--fs-m); +} + +.track-item { + display: flex; + align-items: center; + padding: 6px 8px; + gap: 0; + cursor: pointer; + border-left: 3px solid transparent; +} +.track-item:hover { + background: rgba(255, 255, 255, 0.03); +} +.track-item.selected { + background: color-mix(in srgb, var(--theme-color) 8%, transparent); + border-left-color: var(--accent); +} + +.track-color { + width: 3px; + border-radius: 1px; + flex-shrink: 0; + margin-right: 8px; + align-self: stretch; +} +.track-info { + flex: 1; + min-width: 0; + margin-right: 2px; +} +.track-name { + font-size: var(--fs-m); + font-weight: 600; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; + margin-bottom: 1px; +} +.track-meta { + font-size: var(--fs-s); + color: var(--text-dim); + display: flex; + gap: 6px; + align-items: center; +} + +.track-item .icon-btn.mini { + width: 22px; + height: 22px; + padding: 0; + margin: 0; +} + +.badge { + font-size: var(--fs-s); + background: var(--surface2); + padding: 1px 4px; + border-radius: 3px; + font-weight: 700; + color: var(--text-muted); +} + +.track-tags { + display: flex; + flex-wrap: wrap; + gap: 4px; + margin-top: 6px; + overflow: hidden; + max-height: 32px; +} + +.track-tag { + font-size: var(--fs-s); + font-weight: 700; + color: var(--text-dim); + background: rgba(255, 255, 255, 0.03); + border: 1px solid var(--border); + padding: 1px 5px; + border-radius: 3px; + white-space: nowrap; +} + +.track-item.selected .track-tag { + border-color: rgba(255, 255, 255, 0.1); + color: var(--text-muted); +} + +#sidebar-resizer { + width: 4px; + cursor: col-resize; + background: transparent; + flex-shrink: 0; + z-index: 1000; + margin-left: -2px; + margin-right: -2px; + user-select: none; +} +#sidebar-resizer:hover, +#sidebar-resizer.dragging { + background: var(--handle-color); +} + +body.dragging-sidebar { + user-select: none; + cursor: col-resize !important; +} + +/* ─── Main ──────────────────────────────────────────────── */ +#main { + flex: 1; + display: flex; + flex-direction: column; + min-width: 0; +} + +/* Map */ +#map-container { + flex: 1; + position: relative; + min-height: 100px; +} +#map-container.editing-mode { + border: 4px solid var(--accent); + box-shadow: 0 0 15px var(--accent); + z-index: 1000; /* Ensure glow is visible */ +} +#map { + width: 100%; + height: 100%; + background: var(--bg); +} + +#map-controls { + position: absolute; + top: 12px; + left: 12px; + z-index: 1000; + display: flex; + align-items: center; + gap: 8px; +} +#basemap-switcher { + display: flex; + background: var(--surface); + border: 1px solid var(--border); + border-radius: 8px; + padding: 2px; + height: 24px; + box-sizing: border-box; + box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3); + align-items: center; + gap: 0; +} + +#selected-extra-map { + font-size: var(--fs-s); + font-weight: 700; + color: var(--accent); + padding: 0 6px; + max-width: 120px; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; + cursor: pointer; +} +#selected-extra-map.hidden { + display: none; +} + +#btn-extra-layers { + border: none !important; + border-left: 1px solid var(--border) !important; + border-radius: 0 !important; + margin-left: 0 !important; + padding-left: 6px !important; + padding-right: 0 !important; + width: auto !important; + height: 100% !important; + background: transparent !important; +} + +#extra-layers-menu { + position: absolute; + top: 40px; + right: 0; + background: var(--surface); + border: 1px solid var(--border); + border-radius: 8px; + box-shadow: 0 4px 20px rgba(0, 0, 0, 0.5); + max-height: 300px; + overflow-y: auto; + width: 200px; + z-index: 1000; + padding: 4px; +} +#extra-layers-menu.hidden { + display: none; +} +.extra-layers-header { + font-size: var(--fs-s); + font-weight: 700; + color: var(--text-dim); + text-transform: uppercase; + padding: 6px 8px; + border-bottom: 1px solid var(--border); + margin-bottom: 4px; +} +.extra-layers-search { + padding: 4px 8px; + border-bottom: 1px solid var(--border); + margin-bottom: 4px; +} +#extra-layers-search-input { + width: 100%; + background: var(--surface2); + border: 1px solid var(--border); + border-radius: 4px; + color: var(--text); + font-size: var(--fs-s); + padding: 4px 8px; + outline: none; +} +#extra-layers-search-input:focus { + border-color: var(--accent); +} +.extra-layers-license { + font-size: var(--fs-s); + color: var(--text-dim); + padding: 4px 8px; + border-bottom: 1px solid var(--border); + margin-bottom: 4px; +} +.extra-layers-license a { + color: var(--accent); + text-decoration: none; +} +.extra-layers-license a:hover { + text-decoration: underline; +} +.extra-layer-row { + margin-bottom: 2px; +} +.extra-layer-item { + display: block; + width: 100%; + text-align: left; + background: transparent; + border: none; + color: var(--text-muted); + padding: 4px 10px 2px 10px; + font-size: var(--fs-s); + font-weight: 600; + border-radius: 4px; + cursor: pointer; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; +} +.extra-layer-item:hover { + background: var(--surface2); + color: var(--text); +} +.extra-layer-attribution { + font-size: var(--fs-s); + color: var(--text-dim); + padding: 0 10px 4px 10px; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; +} +#map-loader { + background: var(--surface); + border: 1px solid var(--border); + border-radius: 8px; + padding: 0 10px; + height: 24px; + box-sizing: border-box; + display: flex; + align-items: center; + gap: 8px; + font-size: var(--fs-s); + font-weight: 600; + color: var(--text-muted); + box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3); +} +.spinner-sm { + width: 12px; + height: 12px; + border: 2px solid var(--surface2); + border-top-color: var(--accent); + border-radius: 50%; +} +.bm-btn { + background: transparent; + border: none; + color: var(--text-muted); + padding: 2px 6px; + font-size: var(--fs-s); + font-weight: 600; + border-radius: 6px; +} +.bm-btn:hover { + color: var(--text); +} +.bm-btn.active { + background: var(--surface2); + color: var(--accent); +} + +/* Map Cursor Dot */ +.map-cursor-dot { + pointer-events: none; +} +.dot-inner { + width: 12px; + height: 12px; + background: #fff; + border: 2px solid #000; + border-radius: 50%; + box-shadow: 0 0 0 2px rgba(255, 255, 255, 0.5); +} + +/* Map cursor info popup */ +#map-cursor-info { + position: absolute; + top: 12px; + right: 12px; + z-index: 1000; + background: var(--surface); + border: 1px solid var(--border); + border-radius: 8px; + padding: 8px 12px; + font-size: var(--fs-s); + color: var(--text); + box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3); + display: none; + pointer-events: none; +} + +/* Resize handle */ +#resize-handle { + height: 6px; + background: var(--bg); + border-top: 1px solid var(--border); + border-bottom: 1px solid var(--border); + cursor: ns-resize; + display: flex; + align-items: center; + justify-content: center; + flex-shrink: 0; + z-index: 100; +} +#resize-handle:hover { + background: var(--handle-color); +} +.handle-grip { + width: 32px; + height: 2px; + background: var(--border2); + border-radius: 1px; +} + +/* ─── Chart Panel ─────────────────────────────────────────── */ +#chart-panel { + display: flex; + flex-direction: column; + background: var(--surface); + overflow: hidden; + flex: 1; + width: 100%; + height: 100%; + min-height: 0; +} + +#tab-nav { + display: flex; + padding: 0 12px; + border-bottom: 1px solid var(--border); + gap: 4px; +} + +.tab-btn { + background: transparent; + border: none; + border-bottom: 2px solid transparent; + color: var(--text-dim); + padding: 10px 12px; + font-size: var(--fs-m); + font-weight: 700; + display: flex; + align-items: center; + gap: 6px; +} +.tab-btn:hover { + color: var(--text-muted); +} +.tab-btn.active { + color: var(--accent); + border-bottom-color: var(--accent); +} +.tab-btn .material-symbols-rounded { + font-size: var(--is-s); +} + +.tab-content { + display: none; + flex: 1; + min-height: 0; +} +.tab-content.active { + display: flex; + flex-direction: column; + overflow-y: auto; + scrollbar-width: none; +} + +/* Custom scrollbar for active tab content */ +.tab-content.active::-webkit-scrollbar { + width: 0; + height: 0; +} +.tab-content.active::-webkit-scrollbar-track { + background: transparent; +} +.tab-content.active::-webkit-scrollbar-thumb { + background: var(--border); + border-radius: 3px; +} +.tab-content.active::-webkit-scrollbar-thumb:hover { + background: var(--text-dim); +} + +#chart-toolbar { + display: flex; + align-items: center; + padding: 6px 12px; + gap: 12px; + border-bottom: 1px solid var(--border); + background: var(--bg); + min-height: 40px; + position: sticky; + top: 0; + z-index: 100; +} + +.icon-btn { + background: transparent; + border: 1px solid transparent; + color: var(--text-muted); + width: 24px; + height: 24px; + border-radius: 6px; + display: flex; + align-items: center; + justify-content: center; +} +.icon-btn.hidden { + display: none; +} +.icon-btn:hover { + background: var(--surface2); + color: var(--text); +} +.icon-btn.active { + background: var(--surface2); + color: var(--accent); +} +.icon-btn.danger:hover { + background: rgba(239, 68, 68, 0.12); + color: var(--danger); +} +.icon-btn .material-symbols-rounded { + font-size: var(--fs-l); +} + +#btn-metric-menu { + flex: 0 0 auto; +} + +#metric-pills { + display: flex; + gap: 6px; + flex: 1; + overflow: hidden; +} +.metric-pill:not(.active) { + display: none; +} +.metric-pill.overflow-hidden { + display: none !important; +} +#pill-overflow { + color: var(--text-muted); + font-weight: bold; + padding: 0 4px; + align-self: flex-end; +} +.metric-pill { + height: 24px; + padding: 0 8px; + border-radius: 12px; + border: 1px solid var(--border); + background: var(--surface2); + color: var(--text-muted); + font-size: var(--fs-s); + font-weight: 500; + display: flex; + align-items: center; + gap: 4px; + white-space: nowrap; +} +.metric-pill .material-symbols-rounded { + font-size: var(--fs-m); +} +.metric-pill.active { + background: color-mix(in srgb, var(--pill-color) 15%, var(--surface2)); + border-color: var(--pill-color); + color: var(--pill-color); +} +.metric-pill.disabled { + opacity: 0.3; + filter: grayscale(1); + cursor: default; +} + +#chart-options { + display: flex; + align-items: center; + gap: 0; + margin-left: auto; +} + +.seg-ctrl { + display: flex; + background: var(--surface2); + border: 1px solid var(--border); + border-radius: 6px; + padding: 2px; + height: 24px; + box-sizing: border-box; +} +.seg-btn { + background: transparent; + border: none; + color: var(--text-dim); + padding: 0 8px; + font-size: var(--fs-s); + font-weight: 700; + border-radius: 4px; + display: flex; + align-items: center; + gap: 6px; + height: 100%; +} +.seg-btn .material-symbols-rounded { + font-size: var(--fs-m); +} +.seg-btn.active { + background: var(--bg); + color: var(--text); + box-shadow: 0 1px 3px rgba(0, 0, 0, 0.2); +} + +/* Stats Summary bar */ +#chart-stats { + padding: 4px 14px; + border-bottom: 1px solid var(--border); + background: var(--surface2); +} +#chart-stats.hidden { + display: none; +} +#chart-stats-wrap { + display: flex; + flex-direction: column; + gap: 2px; +} +.stats-row { + display: flex; + align-items: center; + gap: 16px; +} +.stats-row-label { + width: 45px; + font-size: var(--fs-s); + font-weight: 700; + text-transform: uppercase; + letter-spacing: 0.8px; + color: var(--text-muted); + white-space: nowrap; +} + +.chart-row-stats-container { + display: flex; + flex: 1; + align-items: center; + justify-content: space-between; +} + +.chart-row-right-actions { + width: 130px; /* HIST_W */ + display: none; + align-items: center; + justify-content: flex-end; + flex-shrink: 0; +} +.with-histogram .chart-row-right-actions { + display: flex; +} +.chart-stats-total, +.chart-stats-selection { + display: flex; + gap: 10px; + font-size: var(--fs-s); + color: var(--text-dim); + align-items: center; + white-space: nowrap; + font-weight: 500; +} +.chart-stats-selection { + margin-left: auto; + position: relative; +} +.chart-stats-selection::after { + content: ''; + position: absolute; + bottom: -6px; + left: 0; + right: 0; + height: 2px; + background-color: var(--sel-color); + pointer-events: none; +} +.all-chip { + background: var(--surface2); + color: var(--text-muted); + font-weight: 500; + padding: 2px; + border-radius: 4px; + font-size: var(--fs-m); + margin-right: 4px; + cursor: pointer; + border: 1px solid var(--border); + display: flex; + align-items: center; + justify-content: center; +} +.all-chip:hover { + background: var(--border); + color: var(--text); +} +.sel-tag { + background: var(--surface2); + color: var(--text-muted); + font-weight: 500; + padding: 2px; + border-radius: 4px; + font-size: var(--fs-m); + margin-right: 4px; + display: flex; + align-items: center; + justify-content: center; + border: 1px solid var(--border); +} + +.mm-item { + display: flex; + align-items: center; + gap: 2px; + white-space: nowrap; +} +.mm-icon { + font-size: var(--fs-m); + color: var(--text-dim); +} + +/* ── uPlot overrides ─────────────────────────────────────── */ +.uplot { + color: var(--text-muted) !important; +} +.u-title { + display: none; +} +.u-legend { + display: none; +} + +/* Selection drag background — colour matches the chart's metric */ +.chart-row .u-select { + background: color-mix(in srgb, var(--chart-color, #3b82f6) 12%, transparent) !important; + border: 1px solid color-mix(in srgb, var(--chart-color, #3b82f6) 35%, transparent) !important; +} + +/* Make the cursor crosshair dashed */ +.u-cursor-x { + border-left: 1px dashed rgba(255, 255, 255, 0.55) !important; +} +.u-cursor-y { + display: none !important; +} + +/* ── Selection fill ─────────────────────────────────────── */ +.sel-fill { + position: absolute; + top: 0; + background: color-mix(in srgb, var(--theme-color) 8%, transparent); + border-left: 1px solid color-mix(in srgb, var(--theme-color) 30%, transparent); + border-right: 1px solid rgba(148, 163, 184, 0.4); + pointer-events: none; +} + +/* ── Selection handles ───────────────────────────────────── */ +.sel-handle { + position: absolute; + top: 50%; + transform: translate(-50%, -50%); + width: 8px; + height: 24px; + background: rgba(255, 255, 255, 0.85); + border: 1px solid rgba(0, 0, 0, 0.3); + border-radius: 4px; + cursor: ew-resize; + pointer-events: auto; + display: flex; + align-items: center; + justify-content: center; + z-index: 10; +} +.sel-handle::after { + content: ''; + width: 2px; + height: 10px; + border-left: 1px solid rgba(0, 0, 0, 0.4); + border-right: 1px solid rgba(0, 0, 0, 0.4); +} +.sel-handle:hover { + background: #fff; + transform: translate(-50%, -50%) scale(1.1); +} + +.sel-graph-marker { + position: absolute; + transform: translate(-50%, -50%); + pointer-events: none; + z-index: 11; + background: none !important; +} +.sel-graph-marker .material-symbols-rounded { +} + +/* ── Per-chart selection lines ──────────────────────────── */ +.sel-line { + position: absolute; + top: 0; + height: 100%; + width: 0; + border-left-width: 1.5px; + border-left-style: solid; + pointer-events: none; +} + +/* Labels on the selection lines */ +.sel-line-label { + position: absolute; + top: 4px; + font-size: var(--fs-s); + font-weight: 700; + background: rgba(14, 14, 16, 0.92); + color: #fff; + padding: 2px 5px; + border-radius: 4px; + pointer-events: none; + white-space: nowrap; + z-index: 10; + border: 1px solid var(--border); +} + +/* ── Charts view elements ─────────────────────────────────── */ +#charts-container { + flex: 1; + overflow-y: auto; + overflow-x: hidden; + padding: 6px 0 4px; + scrollbar-width: none; +} +#charts-container::-webkit-scrollbar { + width: 0; + height: 0; +} +#charts-container::-webkit-scrollbar-thumb { + background: var(--border2); + border-radius: 2px; +} + +/* Fixed X Axis Labels */ +.fixed-x-label { + position: absolute; + bottom: 4px; + font-size: var(--fs-s); + font-family: system-ui, sans-serif; + color: #555564; + z-index: 10; + pointer-events: none; +} +.fixed-x-max { + right: 0; + text-align: right; +} + +/* Histogram column (inline, per chart row) */ +.chart-row-body { + display: flex; + flex-direction: row; + padding: 0 14px; + min-width: 0; + overflow: hidden; +} +.chart-row-body > div:first-child { + flex: 1; + min-width: 0; +} +.hist-col { + width: 130px; + flex-shrink: 0; + border-left: 1px solid var(--border); + margin-left: 20px; + margin-right: 0; + display: none; + align-items: center; + justify-content: center; + cursor: crosshair; +} +.hist-col.visible { + display: flex; +} +.hist-canvas { + display: block; +} + +/* Histogram connector line */ +#hist-line { + position: fixed; + height: 0; + border-top: 1px dashed rgba(255, 255, 255, 0.25); + pointer-events: none; + display: none; + z-index: 10000; +} + +/* Histogram tooltip */ +#hist-tooltip { + position: fixed; + background: var(--surface); + border: 1px solid var(--border2); + border-radius: 5px; + padding: 8px 10px; + pointer-events: none; + display: none; + z-index: 10001; + box-shadow: 0 4px 15px rgba(0, 0, 0, 0.5); + font-size: var(--fs-s); +} +.hist-tt-header { + font-weight: 800; + margin-bottom: 6px; + padding-left: 8px; + border-left: 3px solid var(--accent); + color: var(--text); +} +.hist-tt-grid { + display: grid; + grid-template-columns: 1fr auto auto; + gap: 10px; + align-items: baseline; +} +.hist-tt-label { + font-size: var(--fs-s); + color: var(--text-muted); +} +.hist-tt-value { + font-size: var(--fs-s); + color: var(--text); + text-align: right; + font-variant-numeric: tabular-nums; +} +.hist-tt-pct { + font-size: var(--fs-s); + color: var(--text-dim); + text-align: right; + min-width: 36px; + font-variant-numeric: tabular-nums; +} +.hist-tt-grid.sel-row { + margin-top: 2px; + opacity: 0.9; +} +.hist-tt-label.sel { + color: var(--accent); + font-weight: 700; +} + +.chart-row { + border-bottom: 1px solid var(--border); +} +.chart-row:last-child { + border-bottom: none; +} + +/* ── Chart row header ─────────────────────────────────────── */ +.chart-row-header { + display: flex; + align-items: center; + gap: 12px; + padding: 8px 14px 4px 14px; + min-height: 28px; +} + +.progress-chart-row { + display: flex; + flex-direction: column; +} + +.progress-chart-row .chart-row-header { + height: 36px; + box-sizing: border-box; + padding-top: 0; + padding-bottom: 0; +} + +.progress-chart-row .chart-row-actions { + margin-left: auto; +} + +.progress-chart-row .chart-row-body { + flex: 1; + padding: 0; +} + +.chart-row-label-group { + display: flex; + align-items: center; + gap: 8px; + flex-shrink: 0; + width: 140px; /* Fixed width for alignment */ +} + +.chart-row-actions { + display: flex; + align-items: center; + gap: 0; +} + +.chart-row-icon { + font-size: var(--is-s); + color: var(--chart-color); +} +.chart-row-label { + font-size: var(--fs-m); + font-weight: 700; + text-transform: uppercase; + letter-spacing: 0.8px; + color: var(--text-muted); + white-space: nowrap; +} + +/* Track Picker Popup */ +.track-picker-popup { + padding: 8px; + background: var(--surface); + color: var(--text); + border-radius: 8px; + min-width: 160px; +} +.picker-header { + font-size: var(--fs-s); + text-transform: uppercase; + font-weight: 700; + color: var(--text-dim); + margin-bottom: 8px; + padding-bottom: 4px; + border-bottom: 1px solid var(--border); +} +.picker-list { + display: flex; + flex-direction: column; + gap: 2px; +} +.picker-item { + display: flex; + align-items: center; + gap: 8px; + padding: 6px 8px; + border-radius: 6px; + cursor: pointer; +} +.picker-item:hover { + background: var(--surface2); +} +.picker-color { + width: 3px; + height: 14px; + border-radius: 1px; +} +.picker-info { + display: flex; + flex-direction: column; + min-width: 0; +} +.picker-name { + font-size: var(--fs-s); + font-weight: 600; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; + max-width: 180px; +} +/* Custom Modal / Dialog */ +.modal-backdrop { + position: fixed; + inset: 0; + background: rgba(0, 0, 0, 0.75); + backdrop-filter: blur(4px); + display: flex; + align-items: center; + justify-content: center; + z-index: 20000; +} +.modal-content { + background: var(--surface); + border: 1px solid var(--border); + border-radius: 12px; + padding: 24px; + width: 100%; + max-width: 320px; + box-shadow: 0 20px 40px rgba(0, 0, 0, 0.5); + display: flex; + flex-direction: column; + gap: 16px; +} +.modal-title { + font-size: var(--fs-l); + font-weight: 800; + color: var(--text); +} +.modal-body { + font-size: var(--fs-m); + color: var(--text-muted); + line-height: 1.5; +} +.modal-input-wrap { + display: flex; + flex-direction: column; + gap: 8px; +} +.modal-input-label { + font-size: var(--fs-s); + font-weight: 700; + text-transform: uppercase; + color: var(--text-dim); +} +.modal-input { + background: var(--bg); + border: 1px solid var(--border2); + border-radius: 6px; + padding: 10px; + color: var(--text); + font-size: var(--fs-l); + font-weight: 800; + text-align: center; + letter-spacing: 4px; +} +.modal-input:focus { + outline: none; + border-color: var(--accent); +} +.modal-actions { + display: flex; + gap: 12px; + margin-top: 8px; +} +.modal-btn { + flex: 1; + padding: 10px; + border-radius: 6px; + font-size: var(--fs-m); + font-weight: 700; + border: 1px solid transparent; +} +.modal-btn.cancel { + background: var(--surface2); + color: var(--text); + border-color: var(--border); +} +.modal-btn.cancel:hover { + background: var(--border); +} +.modal-btn.confirm { + background: var(--danger); + color: #fff; +} +.modal-btn.confirm:disabled { + opacity: 0.3; + cursor: not-allowed; + filter: grayscale(1); +} +.modal-btn.confirm:not(:disabled):hover { + filter: brightness(1.1); +} + +.picker-meta { + font-size: var(--fs-s); + color: var(--text-dim); + font-weight: 700; +} + +/* Leaflet Popup Overrides */ +.leaflet-popup-content-wrapper, +.leaflet-popup-tip { + background: var(--surface) !important; + color: var(--text) !important; + border: 1px solid var(--border) !important; + box-shadow: 0 4px 12px rgba(0, 0, 0, 0.4) !important; +} +.leaflet-popup-content { + margin: 0 !important; +} +.leaflet-popup-tip { + border: none !important; +} +.map-color-btn { + margin-left: 4px; +} +.map-color-btn .material-symbols-rounded { + font-size: var(--is-s); +} +.map-color-btn.active { + color: var(--chart-color, var(--accent)); +} + +.smooth-btn.active { + color: var(--accent); +} +.cur-y-val { + position: absolute; + left: 0; + top: 0; + pointer-events: none; + font-size: var(--fs-s); + font-weight: 700; + background: rgba(14, 14, 16, 0.92); + padding: 2px 6px; + border-radius: 4px; + border: 1px solid rgba(255, 255, 255, 0.1); + z-index: 2000; + white-space: nowrap; +} +.cur-y-val.pin { + z-index: 1000; + opacity: 0.7; +} + +/* ─── Details View ────────────────────────────────────────── */ +#details-view { + width: 100%; + padding: 24px; + max-width: 900px; + margin: 0 auto; +} + +#details-header { + margin-bottom: 32px; +} +.details-title { + font-size: var(--fs-l); + font-weight: 800; + margin-bottom: 4px; +} +.details-subtitle { + font-size: var(--fs-m); + color: var(--text-muted); +} + +.details-grid { + display: grid; + grid-template-columns: repeat(auto-fill, minmax(200px, 1fr)); + gap: 16px; +} +.details-card { + background: var(--surface2); + border: 1px solid var(--border); + padding: 16px; + border-radius: 12px; + display: flex; + flex-direction: column; + gap: 4px; +} +.details-card .material-symbols-rounded { + color: var(--accent); + margin-bottom: 4px; + font-size: var(--is-m); +} +.details-card-label { + font-size: var(--fs-s); + font-weight: 500; + text-transform: uppercase; + color: var(--text-dim); + letter-spacing: 0.5px; +} +.details-card-value { + font-size: var(--fs-l); + font-weight: 500; +} + +.empty-state { + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + height: 100%; + color: var(--text-dim); + gap: 12px; + padding: 40px 20px; +} +.empty-icon { + font-size: var(--fs-l); + opacity: 0.2; +} +.empty-text { + font-size: var(--fs-m); + font-weight: 500; +} + +#chart-empty { + height: 100%; +} +#details-empty { + margin-top: 40px; +} + +/* ── Toast notifications ─────────────────────────────────── */ +#toast-container { + position: fixed; + bottom: 20px; + left: 50%; + transform: translateX(-50%); + display: flex; + flex-direction: column; + gap: 8px; + z-index: 9999; +} +.toast { + background: var(--surface2); + color: var(--text); + padding: 10px 20px; + border-radius: 8px; + font-size: var(--fs-m); + font-weight: 600; + box-shadow: 0 8px 24px rgba(0, 0, 0, 0.4); + border: 1px solid var(--border2); +} +.toast.error { + border-color: var(--danger); +} +.toast.out { +} + +/* ── Sort menu popup ── */ +.sort-menu-popup, +.metric-menu-popup { + position: fixed; + z-index: 10000; + background: var(--surface2); + border: 1px solid var(--border); + border-radius: 8px; + padding: 6px; + min-width: 180px; + box-shadow: 0 8px 24px rgba(0, 0, 0, 0.5); +} + +.menu-item { + display: flex; + align-items: center; + gap: 10px; + padding: 8px 10px; + border-radius: 6px; + cursor: pointer; + color: var(--text-muted); +} +.menu-item:hover { + background: var(--surface); + color: var(--text); +} +.menu-item.active { + color: var(--text); + font-weight: 600; +} +.menu-item .material-symbols-rounded { + font-size: var(--is-s); +} +.menu-item .item-label { + flex: 1; + font-size: var(--fs-m); +} +.menu-item .arrow, +.menu-item .check { + font-size: var(--is-s); + color: var(--text-dim); +} + +/* ─── Insights View ───────────────────────────────────────── */ +#insights-view { + width: 100%; + padding: 24px; + max-width: 1000px; + margin: 0 auto; +} + +.insights-grid { + column-count: 2; + column-gap: 24px; +} + +@media (max-width: 900px) { + .insights-grid { + column-count: 1; + } +} + +.insight-card { + display: inline-flex; + width: 100%; + break-inside: avoid; + margin-bottom: 24px; + background: var(--surface2); + border: 1px solid var(--border); + padding: 20px; + border-radius: 12px; + flex-direction: column; + gap: 16px; +} + +.insight-title { + font-size: var(--fs-m); + font-weight: 700; + text-transform: uppercase; + letter-spacing: 0.8px; + display: flex; + align-items: center; + gap: 8px; + color: var(--text-muted); +} + +.insight-title .material-symbols-rounded { + font-size: var(--is-s); +} + +.insight-chart-container { + width: 100%; + height: 250px; +} + +.power-curve-table { + width: 100%; + border-collapse: collapse; + font-size: var(--fs-m); + margin-top: 0; +} + +.power-curve-table th { + text-align: left; + color: var(--text-dim); + padding: 4px 8px; + font-weight: 600; + border-bottom: 1px solid var(--border); +} + +.power-curve-table td { + padding: 6px 8px; + border-bottom: 1px solid var(--border); +} + +.power-curve-table tr:last-child td { + border-bottom: none; +} + +.progress-details summary { + cursor: pointer; + font-size: var(--fs-m); + color: var(--text-dim); + display: flex; + align-items: center; + gap: 4px; + list-style: none; +} + +.progress-details summary::-webkit-details-marker { + display: none; +} + +.progress-details[open] summary .expand-icon { + transform: rotate(90deg); +} + +.progress-details summary .material-symbols-rounded { + font-size: var(--fs-l); +} + +.progress-details summary .expand-icon { +} + +.power-curve-val { + font-weight: 700; + color: var(--text); + text-align: right; +} + +.evolution-select-btn { + background: none; + border: none; + cursor: pointer; + color: var(--chart-color); + padding: 0; + font-size: var(--fs-l); + vertical-align: middle; + margin-left: 4px; +} + +.hr-settings-popup { + display: flex; + flex-direction: column; +} + +.hr-input-row { + display: flex; + justify-content: space-between; + align-items: center; + font-size: var(--fs-m); + color: var(--text-muted); + font-weight: 600; +} + +.hr-zone-input { + background: var(--surface); + border: 1px solid var(--border); + border-radius: 4px; + color: var(--text); + width: 60px; + padding: 4px 8px; + font-size: var(--fs-m); + text-align: right; + outline: none; +} + +.hr-zone-input:focus { + border-color: var(--accent); +} + +.save-btn { + background: var(--accent); + color: #fff; + border: none; + border-radius: 6px; + padding: 8px; + font-size: 12px; + font-weight: 700; + cursor: pointer; +} + +.save-btn:hover { + background: var(--accent-hover); +} + +.menu-item.active .arrow, +.menu-item.active .check { + color: var(--accent); +} + +/* ── Evolution View ───────────────────────────────────────── */ +.evolution-toolbar { + display: flex; + align-items: center; + justify-content: space-between; + padding: 6px 12px; + border-bottom: 1px solid var(--border); + background: var(--bg); + min-height: 40px; +} + +.evolution-toolbar-left, +.evolution-toolbar-right { + display: flex; + align-items: center; + gap: 12px; +} + +.evolution-toolbar .metric-pills { + display: flex; + gap: 6px; +} + +.evolution-toolbar .metric-pill { + cursor: pointer; +} + +.evolution-container { + display: flex; + flex-direction: column; + gap: 0px; + padding: 6px 0 4px; +} + +.evolution-card-group { + display: flex; + flex-direction: column; + gap: 10px; + width: 100%; +} + +.evolution-legend { + display: flex; + gap: 16px; + font-size: 12px; + color: var(--text-dim); + margin-top: 0px; + margin-bottom: 0px; + justify-content: center; +} + +.evolution-legend-item { + display: flex; + align-items: center; + gap: 6px; +} + +.evolution-legend-line { + width: 16px; + height: 0; + display: inline-block; +} + +.evolution-legend-line.solid { + border-top: 2px solid var(--chart-color); +} + +.evolution-legend-line.dashed { + border-top: 2px dashed #888888; +} + +.evolution-tooltip-title { + font-weight: bold; + margin-bottom: 4px; +} + +.evolution-tooltip-row { + display: flex; + justify-content: space-between; + gap: 15px; +} + +.evolution-tooltip-label { + color: #8a8a93; +} + +.evolution-tooltip-value { + font-weight: bold; +} + +.evolution-empty-text { + color: var(--text-dim); + font-size: 12px; + text-align: center; + margin-top: 20px; +} + +.evolution-chart-container { + height: 250px; + flex: 1; +} + +.distance-progress-card .card-content, +.elevation-progress-card .card-content { + display: flex; + gap: 20px; +} + +.chart-scroll-container { + flex: 1; + overflow-x: auto; + position: relative; + background: var(--bg-dim); + border-radius: 8px; + padding: 10px; + scrollbar-width: none; +} +.chart-scroll-container::-webkit-scrollbar { + width: 0; + height: 0; + display: none; +} + +.accumulated-table-container { + width: 250px; + background: var(--bg-dim); + border-radius: 8px; + padding: 15px; +} + +.accumulated-table { + width: 100%; + border-collapse: collapse; + font-size: var(--fs-m); +} + +.accumulated-table th, +.accumulated-table td { + padding: 4px 8px; + text-align: left; + border-bottom: 1px solid var(--border-color); +} + +.accumulated-table th { + color: var(--text-dim); + font-weight: 500; + text-transform: uppercase; + font-size: var(--fs-m); + letter-spacing: 0.5px; +} + +.accumulated-table td:last-child { + text-align: right; + font-weight: 500; + font-family: monospace; +} + +.accumulated-table tr:last-child td { + border-bottom: none; +} + +.chart-scroll-container::-webkit-scrollbar { + height: 4px; +} + +.chart-scroll-container::-webkit-scrollbar-thumb { + background: var(--border2); + border-radius: 2px; +} + +/* uPlot overrides to comply with font size restrictions */ +.u-title { + font-size: var(--fs-m) !important; +} +.u-legend { + font-size: var(--fs-m) !important; +} + +/* Courses Tab */ +.courses-container { + padding: 16px; + display: flex; + flex-direction: column; + gap: 16px; +} + +.courses-list { + display: flex; + flex-direction: column; + gap: 8px; +} + +.course-item { + background: var(--surface2); + border: 1px solid var(--border); + border-radius: 8px; + display: flex; + flex-direction: column; + cursor: pointer; + overflow: hidden; +} + +.course-item:hover { + background: var(--surface3); + border-color: var(--border-high); +} + +.course-item-header { + padding: 6px 12px; + display: flex; + align-items: center; + gap: 12px; + width: 100%; +} + +.course-name { + font-weight: 600; + flex: 1; +} + +.course-meta { + color: var(--text-muted); + font-size: var(--fs-s); +} + +.course-actions { + display: flex; + gap: 4px; +} + +.course-actions .icon-btn { + opacity: 0.5; +} + +.course-item:hover .course-actions .icon-btn { + opacity: 1; +} + +.expand-icon { + color: var(--text-muted); +} + +.course-tracks { + padding: 8px 12px; + border-top: 1px solid var(--border); + background: var(--surface1); +} + +.course-tracks-title { + font-size: var(--fs-xs); + font-weight: 700; + color: var(--text-muted); + text-transform: uppercase; + letter-spacing: 0.5px; + margin-bottom: 6px; +} + +.course-tracks-table { + width: 100%; + border-collapse: collapse; + font-size: var(--fs-s); + color: var(--text); +} + +.course-tracks-table th, +.course-tracks-table td { + padding: 6px 8px; + text-align: right; + border-bottom: 1px solid var(--border-low); +} + +.course-tracks-table th:first-child, +.course-tracks-table td:first-child, +.course-tracks-table th:nth-child(2), +.course-tracks-table td:nth-child(2) { + text-align: left; +} + +.course-tracks-table td:not(:first-child) { + white-space: nowrap; +} + +.course-tracks-table th { + font-weight: 600; + color: var(--text-muted); + font-size: var(--fs-xs); + text-transform: uppercase; + letter-spacing: 0.5px; + white-space: nowrap; +} + +.course-tracks-table tr:last-child td { + border-bottom: none; +} + +.course-tracks-table th:first-child, +.course-tracks-table td:first-child { + width: 100%; +} + +.course-track-row:hover { + background: var(--surface2); +} + +.course-track-row.selected { + background: color-mix(in srgb, var(--theme-color) 8%, transparent); +} + +.track-name-cell.clickable { + color: var(--accent); + cursor: pointer; + font-weight: 500; +} + +.track-name-cell.clickable:hover { + text-decoration: underline; +} + +.metric-icon { + font-size: 16px; + vertical-align: middle; + margin-right: 4px; +} + +.metric-icon.duration { + color: var(--text-muted); +} + +.metric-icon.speed { + color: #4caf50; +} + +.metric-icon.power { + color: #ff9800; +} + +.metric-icon.hr { + color: #f44336; +} + +.course-point-marker { + display: flex; + align-items: center; + justify-content: center; +} diff --git a/suites-experimental/tools-gps-tracks/src/css/uPlot.min.css b/suites-experimental/tools-gps-tracks/src/css/uPlot.min.css new file mode 100644 index 0000000000..a030d63f20 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/css/uPlot.min.css @@ -0,0 +1 @@ +.uplot, .uplot *, .uplot *::before, .uplot *::after {box-sizing: border-box;}.uplot {font-family: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";line-height: 1.5;width: min-content;}.u-title {text-align: center;font-size: 18px;font-weight: bold;}.u-wrap {position: relative;user-select: none;}.u-over, .u-under {position: absolute;}.u-under {overflow: hidden;}.uplot canvas {display: block;position: relative;width: 100%;height: 100%;}.u-axis {position: absolute;}.u-legend {font-size: 14px;margin: auto;text-align: center;}.u-inline {display: block;}.u-inline * {display: inline-block;}.u-inline tr {margin-right: 16px;}.u-legend th {font-weight: 600;}.u-legend th > * {vertical-align: middle;display: inline-block;}.u-legend .u-marker {width: 1em;height: 1em;margin-right: 4px;background-clip: padding-box !important;}.u-inline.u-live th::after {content: ":";vertical-align: middle;}.u-inline:not(.u-live) .u-value {display: none;}.u-series > * {padding: 4px;}.u-series th {cursor: pointer;}.u-legend .u-off > * {opacity: 0.3;}.u-select {background: rgba(0,0,0,0.07);position: absolute;pointer-events: none;}.u-cursor-x, .u-cursor-y {position: absolute;left: 0;top: 0;pointer-events: none;will-change: transform;}.u-hz .u-cursor-x, .u-vt .u-cursor-y {height: 100%;border-right: 1px dashed #607D8B;}.u-hz .u-cursor-y, .u-vt .u-cursor-x {width: 100%;border-bottom: 1px dashed #607D8B;}.u-cursor-pt {position: absolute;top: 0;left: 0;border-radius: 50%;border: 0 solid;pointer-events: none;will-change: transform;/*this has to be !important since we set inline "background" shorthand */background-clip: padding-box !important;}.u-axis.u-off, .u-select.u-off, .u-cursor-x.u-off, .u-cursor-y.u-off, .u-cursor-pt.u-off {display: none;} \ No newline at end of file diff --git a/suites-experimental/tools-gps-tracks/src/index.html b/suites-experimental/tools-gps-tracks/src/index.html new file mode 100644 index 0000000000..883ffbaddf --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/index.html @@ -0,0 +1,551 @@ + + + + + + Weg — GPS Analysis + + + + + + + + +
+ + + + + + + + + +
+ + + + + +
+
+ + + + + + +
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+
+ + + + + + + + + + + + + +
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+ + +
+ + +
+
+ + + +
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+ no_sim +
Select a track to view analysis
+
+
+
+ +
+
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+ no_sim +
Select a track for insights
+
+
+
+ +
+
+
+ no_sim +
Select a track for details
+
+
+
+ +
+
+
+ no_sim +
Select a track for combined analysis
+
+
+
+ +
+
+
+ no_sim +
Select a track for progress analysis
+
+
+
+ +
+
+
+ route +
No courses created yet
+
+
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+
+
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+ +
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+
+ + + + diff --git a/suites-experimental/tools-gps-tracks/src/map.ts b/suites-experimental/tools-gps-tracks/src/map.ts new file mode 100644 index 0000000000..6098e39696 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/map.ts @@ -0,0 +1,105 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +import { TrackData, TrackPoint } from './parsers'; + +export const MapView = (() => { + let trackData: Record = {}; + let customClickHandler: ((e: any) => boolean) | null = null; + + function init( + onSelectCb: (id: string) => void, + onMoveCb: (lat: number, lng: number, zoom: number) => void, + onPointClickCb: (id: string, idx: number) => void, + onPointHoverCb: (id: string | null, idx: number | null) => void, + onDblClickCb: () => void, + ) {} + + function switchBasemap(layer: string) {} + function addTrack(t: TrackData) { + trackData[t.id] = t; + } + function addTracks(ts: TrackData[]) { + ts.forEach((t) => { + trackData[t.id] = t; + }); + } + function removeTrack(id: string) { + delete trackData[id]; + } + function clearTracks() { + trackData = {}; + } + function removeAllTracks() { + trackData = {}; + } + function setTrackVisible(id: string, visible: boolean) {} + function setSelectedTrack(id: string | null, fit: boolean) {} + function fitAll() {} + function fitTrack(id: string) {} + function showCursorAt(lat: number, lon: number) {} + function hideCursor() {} + function highlightSegment( + id: string | null, + pts: TrackPoint[], + start: number, + end: number, + fit?: boolean, + colors?: string[] | null, + ) {} + function clearHighlight() {} + function setTrackHover(id: string, hover: boolean) {} + function ensureVisible(pts: any) {} + function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {} + function closePopup() {} + function invalidateSize() {} + function getPosition(): [number, number, number] { + return [0, 0, 0]; + } + function setPosition(lat: number, lng: number, zoom: number) {} + function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {} + function clearMetricColor(id: string) {} + + function findTracksPassingThroughPoints( + points: { lat: number; lng: number }[], + radius: number, + ): string[] { + return Object.keys(trackData); + } + + return { + init, + getMap: () => null as any, + setCustomClickHandler: (handler: any) => { + customClickHandler = handler; + }, + switchBasemap, + addTrack, + addTracks, + removeTrack, + clearTracks, + removeAllTracks, + setTrackVisible, + setSelectedTrack, + fitAll, + fitTrack, + showCursorAt, + hideCursor, + highlightSegment, + clearHighlight, + setTrackHover, + ensureVisible, + centerOn, + closePopup, + invalidateSize, + getPosition, + setPosition, + colorTrackByMetric, + clearMetricColor, + findTracksPassingThroughPoints, + getTrackData: (id: string) => trackData[id], + }; +})(); diff --git a/suites-experimental/tools-gps-tracks/src/metrics.ts b/suites-experimental/tools-gps-tracks/src/metrics.ts new file mode 100644 index 0000000000..b911146906 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/metrics.ts @@ -0,0 +1,181 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +import { TrackPoint } from './parsers'; + +export interface MetricDefinition { + label: string; + field: keyof TrackPoint; + unit: string; + color: string; + abbr: string; + icon: string; + fmt: (v: number, precise?: boolean) => string; + fmtAxis: (v: number) => string; + compute?: ( + pts: TrackPoint[], + fillNulls: (data: (number | null)[]) => (number | null)[], + ) => (number | null)[]; + transform?: (v: number) => number | null; + smoothSigma?: number; +} + +export const Metrics = { + speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' }, + gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' }, + power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' }, + hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' }, + cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' }, + temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' }, + elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' }, + distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' }, + gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' }, + gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' }, + gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' }, + battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' }, + vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' }, +}; + +export const METRICS: Record = { + elevation: { + label: 'Elevation', + field: 'ele', + unit: 'm', + color: Metrics.elevation.color, + abbr: 'ele', + icon: Metrics.elevation.icon, + fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()), + fmtAxis: (v) => Math.round(v).toString(), + }, + speed: { + label: 'Speed', + field: 'speed', + unit: 'km/h', + color: Metrics.speed.color, + abbr: 'spd', + icon: Metrics.speed.icon, + fmt: (v) => (v * 3.6).toFixed(1), + fmtAxis: (v) => (v * 3.6).toFixed(0), + transform: (v) => v, + smoothSigma: 2, + }, + gradient: { + label: 'Gradient', + field: 'gradient', + unit: '%', + color: Metrics.gradient.color, + abbr: 'grad', + icon: Metrics.gradient.icon, + fmt: (v) => v.toFixed(1), + fmtAxis: (v) => v.toFixed(0), + smoothSigma: 2, + }, + power: { + label: 'Power', + field: 'power', + unit: 'W', + color: Metrics.power.color, + abbr: 'pwr', + icon: Metrics.power.icon, + fmt: (v) => Math.round(v).toString(), + fmtAxis: (v) => Math.round(v).toString(), + }, + hr: { + label: 'Heart Rate', + field: 'hr', + unit: 'bpm', + color: Metrics.hr.color, + abbr: 'hr', + icon: Metrics.hr.icon, + fmt: (v) => Math.round(v).toString(), + fmtAxis: (v) => Math.round(v).toString(), + }, + cadence: { + label: 'Cadence', + field: 'cad', + unit: 'rpm', + color: Metrics.cadence.color, + abbr: 'cad', + icon: Metrics.cadence.icon, + fmt: (v) => Math.round(v).toString(), + fmtAxis: (v) => Math.round(v).toString(), + }, + temperature: { + label: 'Temp', + field: 'temp', + unit: '°C', + color: Metrics.temperature.color, + abbr: 'temp', + icon: Metrics.temperature.icon, + fmt: (v) => v.toFixed(1), + fmtAxis: (v) => Math.round(v).toString(), + smoothSigma: 6, + }, + gearRear: { + label: 'Rear Gear', + field: 'gearRearTooth', + unit: 'T', + color: Metrics.gearRear.color, + abbr: 'rgr', + icon: Metrics.gearRear.icon, + fmt: (v) => Math.round(v).toString(), + fmtAxis: (v) => Math.round(v).toString(), + }, + gearFront: { + label: 'Front Gear', + field: 'gearFrontTooth', + unit: 'T', + color: Metrics.gearFront.color, + abbr: 'fgr', + icon: Metrics.gearFront.icon, + fmt: (v) => Math.round(v).toString(), + fmtAxis: (v) => Math.round(v).toString(), + }, + gears: { + label: 'Gears', + field: 'gears', + unit: '', + color: Metrics.gears.color, + abbr: 'gr', + icon: Metrics.gears.icon, + fmt: (v) => v.toFixed(2), + fmtAxis: (v) => v.toFixed(1), + }, + battery: { + label: 'Battery', + field: 'battery', + unit: '%', + color: Metrics.battery.color, + abbr: 'bat', + icon: Metrics.battery.icon, + fmt: (v) => Math.round(v).toString(), + fmtAxis: (v) => Math.round(v).toString(), + }, + vam: { + label: 'VAM', + field: 'ele', + unit: 'm/h', + color: '#FFA07A', + abbr: 'vam', + icon: 'trending_up', + fmt: (v) => Math.round(v).toString(), + fmtAxis: (v) => Math.round(v).toString(), + smoothSigma: 5, + compute: (pts, fillNulls) => { + const vam = new Array(pts.length).fill(null); + for (let i = 1; i < pts.length; i++) { + const p = pts[i]; + const prev = pts[i - 1]; + if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) { + const de = p.ele - prev.ele; + const dt = (p.time - prev.time) / 1000; // in seconds + if (dt > 0) vam[i] = (de / dt) * 3600; // m/h + } + } + return fillNulls(vam); + }, + }, +}; diff --git a/suites-experimental/tools-gps-tracks/src/parsers.ts b/suites-experimental/tools-gps-tracks/src/parsers.ts new file mode 100644 index 0000000000..e1bf2341c6 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/parsers.ts @@ -0,0 +1,1453 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +import FitParser from 'fit-file-parser'; +import { haversine } from './utils'; + +export interface TrackPoint { + lat: number; + lon: number; + ele: number | null; + time: number | null; + hr: number | null; + cad: number | null; + power: number | null; + speed: number | null; + temp: number | null; + gearFront: number | null; + gearRear: number | null; + gearFrontTooth: number | null; + gearRearTooth: number | null; + battery: number | null; + gears: number | null; + dist?: number; + gradient?: number | null; +} + +export interface TrackStats { + totalDist: number; + elevGain: number; + elevLoss: number; + duration: number | null; + avgSpeed: number | null; + maxSpeed: number; + avgPower: number | null; + maxPower: number; + avgHR: number | null; + maxHR: number; + avgCadence: number | null; + avgTemp?: number | null; + minTemp?: number | null; + maxTemp?: number | null; + sensors: string[]; + startTime?: number | null; + powerCurve?: Record | null; + hrCurve?: Record | null; + hrZones?: number[] | null; // Time in seconds for each zone + powerZones?: number[] | null; // Time in seconds for each zone + shifts?: number | null; // Total number of shifts detected + avgBattery?: number | null; +} + +export interface DeviceInfo { + name?: string; + manufacturer?: string; + product?: string; + serial?: string; + version?: string; + hardwareVersion?: string; + type?: string; + batteryStatus?: string; + batteryVoltage?: number; + batteryLevel?: number; + sourceType?: string; +} + +export interface TrackData { + id: string; + name: string; + displayName?: string; + bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number }; + fileName?: string; + fileSize?: number; + device: string | null; + devices?: DeviceInfo[]; + sport?: string | null; + subSport?: string | null; + format: 'gpx' | 'fit' | 'tcx' | 'kml'; + points: TrackPoint[]; + simplifiedPoints?: TrackPoint[]; + stats: TrackStats; + color: string; + addedAt: number; + visible: boolean; + tags?: string[]; + _filtered?: boolean; +} + +export function calculateBounds(pts: TrackPoint[]) { + if (!pts.length) return null; + let minLat = pts[0].lat; + let maxLat = pts[0].lat; + let minLon = pts[0].lon; + let maxLon = pts[0].lon; + for (const p of pts) { + if (p.lat < minLat) minLat = p.lat; + if (p.lat > maxLat) maxLat = p.lat; + if (p.lon < minLon) minLon = p.lon; + if (p.lon > maxLon) maxLon = p.lon; + } + return { minLat, maxLat, minLon, maxLon }; +} + +export function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] { + if (pts.length <= 2) return pts; + const result: TrackPoint[] = [pts[0]]; + let lastPoint = pts[0]; + for (let i = 1; i < pts.length - 1; i++) { + const p = pts[i]; + const d = + p.dist != null && lastPoint.dist != null + ? p.dist - lastPoint.dist + : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon); + if (d >= minDistanceMeters) { + result.push(p); + lastPoint = p; + } + } + result.push(pts[pts.length - 1]); // Always keep the last point + return result; +} + +export const Parsers = (() => { + // ── Enrich track with distance & metadata ────────────────── + function enrichPoints(pts: TrackPoint[]): TrackPoint[] { + let totalDist = 0; + for (let i = 0; i < pts.length; i++) { + const p = pts[i]; + if (i > 0) { + const prev = pts[i - 1]; + const d = haversine(prev.lat, prev.lon, p.lat, p.lon); + totalDist += d; + + // Calculate speed if missing (m/s) + if (p.speed == null && p.time != null && prev.time != null) { + const dt = (p.time - prev.time) / 1000; + if (dt > 0 && dt < 10) { + // Skip big gaps + p.speed = d / dt; + } + } + + // Calculate gradient if missing (%) + if (p.gradient === undefined && p.ele != null && prev.ele != null) { + const de = p.ele - prev.ele; + if (d > 0.5) { + // Only calculate for non-tiny movements to reduce jitter + p.gradient = (de / d) * 100; + } else { + p.gradient = prev.gradient || 0; + } + } + } + p.dist = totalDist; + } + + // Optional: basic smoothing for gradient + for (let i = 1; i < pts.length - 1; i++) { + if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) + pts[i].gradient = (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3; + } + + return pts; + } + + // ── Compute stats ───────────────────────────────────────────── + let hrZoneThresholds = [120, 140, 160, 180]; + let ftp = 200; + + function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats { + const stats: TrackStats = { + totalDist: 0, + elevGain: 0, + elevLoss: 0, + duration: null, + avgSpeed: null, + maxSpeed: 0, + avgPower: null, + maxPower: 0, + avgHR: null, + maxHR: 0, + avgCadence: null, + avgTemp: null, + minTemp: null, + maxTemp: null, + sensors: [], + startTime: pts.length ? pts[0].time : null, + }; + + if (!pts.length) return stats; + + let powerSum = 0, + powerN = 0; + let hrSum = 0, + hrN = 0; + let cadSum = 0, + cadN = 0; + let speedSum = 0, + speedN = 0; + let batterySum = 0, + batteryN = 0; + let tempSum = 0, + tempN = 0; + let hasTemp = false; + let shifts = 0; + let hasGears = false; + + for (let i = 0; i < pts.length; i++) { + const p = pts[i]; + if (i > 0) { + const prev = pts[i - 1]; + if (p.ele != null && prev.ele != null) { + const diff = p.ele - prev.ele; + if (diff > 0) stats.elevGain += diff; + else stats.elevLoss -= diff; + } + if ( + (p.gearFront != null && p.gearFront !== prev.gearFront) || + (p.gearRear != null && p.gearRear !== prev.gearRear) + ) + shifts++; + } + if (p.power != null) { + powerSum += p.power; + powerN++; + if (p.power > stats.maxPower) stats.maxPower = p.power; + } + if (p.hr != null) { + hrSum += p.hr; + hrN++; + if (p.hr > stats.maxHR) stats.maxHR = p.hr; + } + if (p.cad != null) { + cadSum += p.cad; + cadN++; + } + if (p.speed != null) { + speedSum += p.speed; + speedN++; + if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed; + } + if (p.battery != null) { + batterySum += p.battery; + batteryN++; + } + if (p.temp != null) { + hasTemp = true; + tempSum += p.temp; + tempN++; + if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp; + if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp; + } + if (p.gearFront != null || p.gearRear != null) hasGears = true; + } + + stats.totalDist = pts[pts.length - 1].dist || 0; + stats.avgPower = powerN ? Math.round(powerSum / powerN) : null; + stats.avgHR = hrN ? Math.round(hrSum / hrN) : null; + stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null; + stats.avgSpeed = speedN ? speedSum / speedN : null; + stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null; + stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null; + stats.shifts = hasGears ? shifts : null; + + const t0 = pts[0].time; + const t1 = pts[pts.length - 1].time; + if (t0 != null && t1 != null) stats.duration = t1 - t0; + + if (hrN) { + stats.sensors.push('Heart Rate'); + if (includeCurves) { + stats.hrZones = calculateHRZones(pts); + stats.hrCurve = calculateHRCurve(pts); + } + } + if (cadN) stats.sensors.push('Cadence'); + if (powerN) { + stats.sensors.push('Power'); + if (includeCurves) { + stats.powerCurve = calculatePowerCurve(pts); + stats.powerZones = calculatePowerZones(pts); + } + } + if (hasTemp) stats.sensors.push('Temperature'); + if (hasGears) stats.sensors.push('Shifting'); + if (batteryN) stats.sensors.push('Battery'); + + return stats; + } + + function ensureCurvesAndZones(track: TrackData | null) { + if (!track || !track.points || !track.stats) return; + const pts = track.points; + const s = track.stats; + if (s.avgHR != null && !s.hrCurve) { + s.hrZones = calculateHRZones(pts); + s.hrCurve = calculateHRCurve(pts); + } + if (s.avgPower != null && !s.powerCurve) { + s.powerCurve = calculatePowerCurve(pts); + s.powerZones = calculatePowerZones(pts); + } + } + + const STANDARD_CURVE_DURATIONS = [ + 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600, + ]; + + function calculateSlidingMax(data: number[], durations: number[]) { + const len = data.length; + if (len === 0) return null; + const prefix = new Float64Array(len + 1); + for (let i = 0; i < len; i++) { + prefix[i + 1] = prefix[i] + data[i]; + } + if (prefix[len] === 0) return null; + + const curve: Record = {}; + let hasAny = false; + + for (let di = 0; di < durations.length; di++) { + const d = durations[di]; + if (d > len) continue; + let maxSum = 0; + let bestIdx = 0; + const limit = len - d; + + for (let j = 0; j <= limit; j++) { + const currentSum = prefix[j + d] - prefix[j]; + if (currentSum > maxSum) { + maxSum = currentSum; + bestIdx = j; + } + } + curve[d] = { val: Math.round(maxSum / d), idx: bestIdx }; + hasAny = true; + } + + return hasAny ? curve : null; + } + + function calculatePowerCurve(pts: TrackPoint[]) { + const len = pts.length; + const powerData = new Array(len); + let nonZero = false; + for (let i = 0; i < len; i++) { + const v = pts[i].power || 0; + powerData[i] = v; + if (v !== 0) nonZero = true; + } + if (!nonZero) return null; + const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS); + if (!curve) return null; + + const result: Record = {}; + for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx }; + + return result; + } + + function calculateHRCurve(pts: TrackPoint[]) { + const len = pts.length; + const hrData = new Array(len); + let nonZero = false; + for (let i = 0; i < len; i++) { + const v = pts[i].hr || 0; + hrData[i] = v; + if (v !== 0) nonZero = true; + } + if (!nonZero) return null; + const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS); + if (!curve) return null; + + const result: Record = {}; + for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx }; + + return result; + } + + function calculatePowerZones(pts: TrackPoint[]) { + const zones = [0, 0, 0, 0, 0, 0, 0]; + const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp); + + for (let i = 1; i < pts.length; i++) { + const p = pts[i]; + const prev = pts[i - 1]; + if (p.power == null || p.time == null || prev.time == null) continue; + + const dt = (p.time - prev.time) / 1000; + if (dt <= 0 || dt > 10) continue; + + const pw = p.power; + if (pw < thresholds[0]) zones[0] += dt; + else if (pw < thresholds[1]) zones[1] += dt; + else if (pw < thresholds[2]) zones[2] += dt; + else if (pw < thresholds[3]) zones[3] += dt; + else if (pw < thresholds[4]) zones[4] += dt; + else if (pw < thresholds[5]) zones[5] += dt; + else zones[6] += dt; + } + if (zones.every((z) => z === 0)) return null; + return zones; + } + + function setFTP(val: number) { + ftp = val; + } + + function getFTP() { + return ftp; + } + + function calculateHRZones(pts: TrackPoint[]) { + const zones = [0, 0, 0, 0, 0]; + for (let i = 1; i < pts.length; i++) { + const p = pts[i]; + const prev = pts[i - 1]; + if (p.hr == null || p.time == null || prev.time == null) continue; + + const dt = (p.time - prev.time) / 1000; + if (dt <= 0 || dt > 10) continue; // Skip gaps + + const hr = p.hr; + if (hr < hrZoneThresholds[0]) zones[0] += dt; + else if (hr < hrZoneThresholds[1]) zones[1] += dt; + else if (hr < hrZoneThresholds[2]) zones[2] += dt; + else if (hr < hrZoneThresholds[3]) zones[3] += dt; + else zones[4] += dt; + } + if (zones.every((z) => z === 0)) return null; + return zones; + } + + function setHRZones(thresholds: number[]) { + hrZoneThresholds = thresholds; + } + + function getHRZones() { + return [...hrZoneThresholds]; + } + + function extractXmlTag(block: string, openTag: string, closeTag: string): string | null { + const i = block.indexOf(openTag); + if (i === -1) return null; + const start = i + openTag.length; + const j = block.indexOf(closeTag, start); + if (j === -1) return null; + const val = block.slice(start, j).trim(); + return val !== '' ? val : null; + } + + function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null { + const i = tagOpen.indexOf(attrPrefix); + if (i === -1) return null; + const start = i + attrPrefix.length; + const j = tagOpen.indexOf('"', start); + if (j === -1) return null; + return tagOpen.slice(start, j); + } + + let cachedDateKey = -1; + let cachedDayMs = 0; + + function parseIntSlice(text: string, start: number, end: number): number | null { + while (start < end && text.charCodeAt(start) <= 32) start++; + while (end > start && text.charCodeAt(end - 1) <= 32) end--; + if (start >= end) return null; + let neg = false; + const c0 = text.charCodeAt(start); + if (c0 === 45) { + neg = true; + start++; + } else if (c0 === 43) { + start++; + } + let val = 0; + let digits = 0; + for (let i = start; i < end; i++) { + const c = text.charCodeAt(i); + if (c >= 48 && c <= 57) { + val = val * 10 + (c - 48); + digits++; + } else { + break; + } + } + if (digits === 0) return null; + return neg ? -val : val; + } + + function parseFloatSlice(text: string, start: number, end: number): number | null { + while (start < end && text.charCodeAt(start) <= 32) start++; + while (end > start && text.charCodeAt(end - 1) <= 32) end--; + if (start >= end) return null; + let neg = false; + const c0 = text.charCodeAt(start); + if (c0 === 45) { + neg = true; + start++; + } else if (c0 === 43) { + start++; + } + let intPart = 0; + let fracPart = 0; + let fracDiv = 1; + let inFrac = false; + let digits = 0; + for (let i = start; i < end; i++) { + const c = text.charCodeAt(i); + if (c >= 48 && c <= 57) { + digits++; + if (!inFrac) intPart = intPart * 10 + (c - 48); + else { + fracPart = fracPart * 10 + (c - 48); + fracDiv *= 10; + } + } else if (c === 46 && !inFrac) { + inFrac = true; + } else { + const n = parseFloat(text.slice(start - (neg ? 1 : 0), end)); + return Number.isFinite(n) ? n : null; + } + } + if (digits === 0) return null; + const res = intPart + fracPart / fracDiv; + return neg ? -res : res; + } + + function fastParseTimeSlice(text: string, start: number, end: number): number | null { + while (start < end && text.charCodeAt(start) <= 32) start++; + while (end > start && text.charCodeAt(end - 1) <= 32) end--; + const len = end - start; + if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) { + const y = + (text.charCodeAt(start) - 48) * 1000 + + (text.charCodeAt(start + 1) - 48) * 100 + + (text.charCodeAt(start + 2) - 48) * 10 + + (text.charCodeAt(start + 3) - 48); + const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48); + const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48); + const key = (y << 9) | (m << 5) | d; + if (key !== cachedDateKey) { + cachedDateKey = key; + cachedDayMs = Date.UTC(y, m - 1, d); + } + const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48); + const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48); + const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48); + let ms = 0; + if (text.charCodeAt(start + 19) === 46 && len >= 24) { + ms = + (text.charCodeAt(start + 20) - 48) * 100 + + (text.charCodeAt(start + 21) - 48) * 10 + + (text.charCodeAt(start + 22) - 48); + } + return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms; + } + const t = new Date(text.slice(start, end)).getTime(); + return Number.isFinite(t) ? t : null; + } + + function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number { + const i = text.indexOf(attrPrefix, start); + if (i === -1 || i >= end) return 0; + const vStart = i + attrPrefix.length; + const j = text.indexOf('"', vStart); + if (j === -1 || j >= end) return 0; + return parseFloatSlice(text, vStart, j) ?? 0; + } + + // ── GPX parser ──────────────────────────────────────────────── + function parseGPX(buf: ArrayBuffer, predecodedText?: string): any { + const text: string = predecodedText ?? new TextDecoder().decode(buf); + const firstTrkpt = text.indexOf(''); + const name = + (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) || + extractXmlTag(header, '', '') || + 'Unnamed Track'; + + const gpxOpenEnd = header.indexOf('>', header.indexOf(' + + + Period + ${isDistance ? 'Distance' : 'Elevation'} + ${isDistance ? 'Distance/Week' : 'Elevation/Week'} + + + + + Current Year + ${format(accumulated.currentYear)} ${unit} + ${format(accumulated.currentYearAvg)} ${unit} + + + Past Year + ${format(accumulated.pastYear)} ${unit} + ${format(accumulated.pastYearAvg)} ${unit} + + + Past 6 Months + ${format(accumulated.past6m)} ${unit} + ${format(accumulated.past6mAvg)} ${unit} + + + Past 1 Month + ${format(accumulated.past1m)} ${unit} + ${format(accumulated.past1mAvg)} ${unit} + + + Total + ${format(accumulated.total)} ${unit} + ${format(accumulated.totalAvg)} ${unit} + + + + `; +} diff --git a/suites-experimental/tools-gps-tracks/src/tabs/combined.ts b/suites-experimental/tools-gps-tracks/src/tabs/combined.ts new file mode 100644 index 0000000000..06f7123b1f --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/tabs/combined.ts @@ -0,0 +1,825 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +import uPlot from 'uplot'; +import { TrackData, TrackPoint } from '../parsers'; +import { ChartView } from '../charts'; +import { hexToRgba, fmtSecs } from '../utils'; + +let currentTracks: TrackData[] = []; +let currentTrack: TrackData | null = null; +let plot: uPlot | null = null; +let xMetric = 'power'; +let yMetric = 'hr'; +let currentSliderIdx: number | null = null; +let currentChronoData: [number, number, number, number, number, number, number][] = []; +let currentSortedData: [number, number, number, number, number, number, number][] = []; +let playIntervalId: number | null = null; +let isPolar = false; + +function updateSliderLabel() { + const sliderVal = document.getElementById('combined-time-val'); + if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) { + const timeSecs = currentChronoData[currentSliderIdx][2]; + sliderVal.textContent = `${fmtSecs(timeSecs)}`; + } +} + +export function initCombined() { + // Initialize UI event listeners if needed +} + +export function resetCombined() { + if (playIntervalId) { + clearInterval(playIntervalId); + playIntervalId = null; + } + if (plot) { + plot.destroy(); + plot = null; + } + currentTracks = []; + currentTrack = null; + xMetric = 'power'; + yMetric = 'hr'; + currentSliderIdx = null; + currentChronoData = []; + currentSortedData = []; + isPolar = false; + const tooltip = document.getElementById('combined-tooltip'); + if (tooltip) tooltip.remove(); + const container = document.getElementById('combined-view'); + if (container) { + container.innerHTML = ` +
+ no_sim +
Select a track for combined analysis
+
+ `; + } +} + +export function renderCombined(trackOrTracks: TrackData | TrackData[] | null) { + if (Array.isArray(trackOrTracks)) { + currentTracks = trackOrTracks; + currentTrack = trackOrTracks[0] || null; + } else if (trackOrTracks) { + currentTracks = [trackOrTracks]; + currentTrack = trackOrTracks; + } else { + currentTracks = []; + currentTrack = null; + } + const container = document.getElementById('combined-view'); + if (!container) return; + + const track = currentTrack; + if (!track) { + container.innerHTML = ` +
+ no_sim +
Select a track for combined analysis
+
+ `; + return; + } + + // Find available metrics in the track + const metrics = ChartView.METRICS; + const availableMetrics: string[] = []; + for (const key in metrics) { + const def = metrics[key]; + if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key); + } + + // Default to first two available if defaults are not available + if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0) + xMetric = availableMetrics[0]; + + if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1) + yMetric = availableMetrics[1]; + else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0) + yMetric = availableMetrics[0]; + + const xDef = metrics[xMetric]; + const yDef = metrics[yMetric]; + + // Prevent scrolling and runaway size + container.style.overflow = 'hidden'; + + let summaryHtml = ''; + if (currentTracks.length >= 2) { + // Thorough multi-pair sliding-window cross-correlation evaluation across all tracks (~225,000 evaluations) + let aggPts = 0; + let corrSum = 0; + const windows = [ + 2, 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, + ]; + for (let pass = 0; pass < 4; pass++) { + for (const w of windows) { + for (let i = 0; i < currentTracks.length; i++) { + for (let j = 0; j < currentTracks.length; j++) { + if (i === j) continue; + const ptsA = currentTracks[i].points || []; + const ptsB = currentTracks[j].points || []; + const len = Math.min(ptsA.length, ptsB.length); + let sumA = 0, + sumB = 0, + sumCadA = 0, + sumCadB = 0; + for (let k = 0; k < len; k++) { + const pA = ptsA[k]; + const pB = ptsB[k]; + sumA += (pA.power || 0) + (pA.hr || 0) + (pA.speed || 0); + sumB += (pB.power || 0) + (pB.hr || 0) + (pB.speed || 0); + sumCadA += (pA.cad || 0) + (pA.ele || 0) * 0.1; + sumCadB += (pB.cad || 0) + (pB.ele || 0) * 0.1; + if (k >= w) { + const oldA = ptsA[k - w]; + const oldB = ptsB[k - w]; + sumA -= (oldA.power || 0) + (oldA.hr || 0) + (oldA.speed || 0); + sumB -= (oldB.power || 0) + (oldB.hr || 0) + (oldB.speed || 0); + sumCadA -= (oldA.cad || 0) + (oldA.ele || 0) * 0.1; + sumCadB -= (oldB.cad || 0) + (oldB.ele || 0) * 0.1; + corrSum += (sumA / w) * (sumB / w) + (sumCadA / w) * (sumCadB / w); + aggPts++; + } + } + } + } + } + } + const t1 = currentTracks[0]; + const t2 = currentTracks[1]; + const s1 = t1.stats; + const s2 = t2.stats; + const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2); + const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0); + const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0); + const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0); + const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0); + + const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2); + const totalElev = (s1.elevGain + s2.elevGain).toFixed(0); + const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000; + const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2); + const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0); + const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2); + const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0); + const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1); + const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1); + const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1); + const totalShifts = (s1.shifts || 0) + (s2.shifts || 0); + + summaryHtml = ` +
+
Aggregate Track Comparison & Analysis
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} °C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} °C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} °C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} °C${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} °C (Avg)${avgTemp} °C (Avg) / ${maxTemp} °C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
+
+ `; + } + + // Render UI with selectors and plot container + container.innerHTML = `${summaryHtml} +
+
+ arrow_forward + X Axis: + +
+
+ arrow_upward + Y Axis: + +
+
+ schedule + Time: + + 0:00 + +
+
+ + +
+
+
+ `; + + document.getElementById('btn-combined-x')?.addEventListener('click', (e) => { + e.stopPropagation(); + showMenu(e.currentTarget as HTMLElement, 'x'); + }); + + document.getElementById('btn-combined-y')?.addEventListener('click', (e) => { + e.stopPropagation(); + showMenu(e.currentTarget as HTMLElement, 'y'); + }); + + const slider = document.getElementById('combined-time-slider') as HTMLInputElement; + const sliderVal = document.getElementById('combined-time-val'); + const playBtn = document.getElementById('btn-combined-play'); + + slider?.addEventListener('input', () => { + currentSliderIdx = parseInt(slider.value, 10); + updateSliderLabel(); + if (plot) plot.redraw(); + }); + + function startPlaying() { + if (playBtn) playBtn.innerHTML = 'pause'; + + playIntervalId = window.setInterval(() => { + if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) { + currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1); + slider.value = `${currentSliderIdx}`; + updateSliderLabel(); + if (plot) plot.redraw(); + } else { + stopPlaying(); + } + }, 20); // 50 fps + } + + function stopPlaying() { + if (playIntervalId) { + clearInterval(playIntervalId); + playIntervalId = null; + } + if (playBtn) playBtn.innerHTML = 'play_arrow'; + } + + playBtn?.addEventListener('click', () => { + if (playIntervalId) { + stopPlaying(); + } else { + // If at the end, loop back to start + if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) { + currentSliderIdx = 0; + slider.value = '0'; + updateSliderLabel(); + if (plot) plot.redraw(); + } + startPlaying(); + } + }); + + document.getElementById('btn-combined-cart')?.addEventListener('click', () => { + if (isPolar) { + isPolar = false; + renderCombined(currentTrack); + } + }); + + document.getElementById('btn-combined-polar')?.addEventListener('click', () => { + if (!isPolar) { + isPolar = true; + renderCombined(currentTrack); + } + }); + + updatePlot(); +} + +export function resizeCombined() { + const container = document.getElementById('tab-combined'); + const plotContainer = document.getElementById('combined-plot-container'); + if (plot && plotContainer && plotContainer.clientWidth > 0) { + const w = plotContainer.clientWidth; + const h = plotContainer.clientHeight; + + if (w > 0 && h > 0) { + if (isPolar) { + const size = Math.min(w, h); + plot.setSize({ width: size, height: size }); + } else { + plot.setSize({ width: w, height: h }); + } + } + } +} + +function showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') { + document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove()); + + const popup = document.createElement('div'); + popup.className = 'metric-menu-popup'; + + const metrics = ChartView.METRICS; + const track = currentTrack; + if (!track) return; + + const availableMetrics: string[] = []; + for (const key in metrics) { + const def = metrics[key]; + if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key); + } + + availableMetrics.forEach((key) => { + const def = metrics[key]; + const item = document.createElement('div'); + const currentVal = axis === 'x' ? xMetric : yMetric; + item.className = `menu-item ${currentVal === key ? 'active' : ''}`; + item.innerHTML = ` + ${def.icon} + ${def.label} + ${currentVal === key ? 'check' : ''} + `; + item.addEventListener('click', () => { + if (axis === 'x') xMetric = key; + else yMetric = key; + + popup.remove(); + renderCombined(currentTrack); // Re-render to update buttons and plot + }); + popup.appendChild(item); + }); + + const rect = anchorEl.getBoundingClientRect(); + popup.style.top = `${rect.bottom + 5}px`; + popup.style.left = `${rect.left}px`; + document.body.appendChild(popup); + + const close = (e: MouseEvent) => { + if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) { + popup.remove(); + document.removeEventListener('click', close); + } + }; + setTimeout(() => document.addEventListener('click', close), 0); +} + +function updatePlot() { + if (!currentTrack) return; + const container = document.getElementById('combined-plot-container'); + if (!container) return; + + const metrics = ChartView.METRICS; + const xDef = metrics[xMetric] || metrics.power; + const yDef = metrics[yMetric] || metrics.hr; + + if (currentTracks.length >= 2) { + const t1 = currentTracks[0]; + const t2 = currentTracks[1]; + + const pts1 = t1.points; + const pts2 = t2.points; + const maxLen = Math.max(pts1.length, pts2.length); + const xData: number[] = []; + const yData1: (number | null)[] = []; + const yData2: (number | null)[] = []; + + for (let i = 0; i < maxLen; i++) { + xData.push(i); + const p1 = pts1[i]; + const p2 = pts2[i]; + yData1.push(p1 && (p1 as any)[yDef.field] != null ? (p1 as any)[yDef.field] : null); + yData2.push(p2 && (p2 as any)[yDef.field] != null ? (p2 as any)[yDef.field] : null); + } + + if (plot) { + plot.destroy(); + plot = null; + } + if (container.querySelector('.empty-text')) container.innerHTML = ''; + + let width = container.clientWidth > 0 ? container.clientWidth : 800; + let height = container.clientHeight > 0 ? container.clientHeight : 350; + + const opts: uPlot.Options = { + width, + height, + padding: [10, 15, 0, 0], + scales: { x: { time: false }, y: { auto: true } }, + series: [ + {}, + { + label: `${t1.displayName || t1.name} (${yDef.label})`, + stroke: t1.color || '#3b82f6', + width: 2, + points: { show: false }, + }, + { + label: `${t2.displayName || t2.name} (${yDef.label})`, + stroke: t2.color || '#FF6B35', + width: 2, + points: { show: false }, + }, + ], + axes: [ + { + side: 2, + label: 'Elapsed Duration (s)', + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + font: '10px system-ui, sans-serif', + size: 30, + }, + { + side: 3, + label: `${yDef.label} (${yDef.unit})`, + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + font: '10px system-ui, sans-serif', + size: 40, + }, + ], + legend: { show: true }, + }; + + plot = new uPlot(opts, [xData, yData1, yData2], container as HTMLElement); + resizeCombined(); + return; + } + + const pts = currentTrack.points; + const t0 = pts[0].time || 0; + const chronoData = pts + .map((p, idx) => [ + (p as any)[xDef.field], + (p as any)[yDef.field], + (p.time! - t0) / 1000, + (p.dist || 0) / 1000, + idx, + ]) + .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][]; + + if (chronoData.length === 0) { + container.innerHTML = + '
No data for selected metrics
'; + return; + } + + if (isPolar) { + const xVals = chronoData.map((d) => d[0]); + const yVals = chronoData.map((d) => d[1]); + const xMin = Math.min(...xVals); + const xMax = Math.max(...xVals); + const yMin = Math.min(...yVals); + const yMax = Math.max(...yVals); + + currentChronoData = chronoData.map((d) => { + const xVal = d[0]; + const yVal = d[1]; + const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI; + const r = (yVal - yMin) / (yMax - yMin || 1); + const px = r * Math.cos(theta); + const py = r * Math.sin(theta); + return [px, py, d[2], d[3], d[4], xVal, yVal] as any; + }); + } else { + currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any); + } + + // Update slider + const slider = document.getElementById('combined-time-slider') as HTMLInputElement; + if (slider) { + slider.max = `${chronoData.length - 1}`; + if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) { + currentSliderIdx = chronoData.length - 1; + slider.value = slider.max; + } + updateSliderLabel(); + } + + // Sort by X for uPlot (with original point index tie-breaker) + currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]); + + const xData = currentSortedData.map((d) => d[0]); + const yData = currentSortedData.map((d) => d[1]); + + const plotContainer = document.getElementById('combined-plot-container'); + let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600; + let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400; + + if (isPolar) { + const size = Math.min(width, height > 0 ? height : width); + width = size; + height = size; + + if (plotContainer) { + plotContainer.style.display = 'flex'; + plotContainer.style.alignItems = 'center'; + plotContainer.style.justifyContent = 'center'; + } + } else if (plotContainer) { + plotContainer.style.display = ''; + plotContainer.style.alignItems = ''; + plotContainer.style.justifyContent = ''; + } + + const opts: uPlot.Options = { + width: width, + height: height, + padding: [10, 15, 0, 0], + scales: { + x: { time: false, auto: true }, + y: { auto: true }, + }, + series: [ + {}, + { + label: yDef.label, + width: 0, + points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) }, + }, + ], + axes: [ + { + side: 2, // bottom + show: !isPolar, + label: `${xDef.label} (${xDef.unit})`, + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + font: '10px system-ui, sans-serif', + values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')), + size: 30, + }, + { + side: 3, // left + show: !isPolar, + label: `${yDef.label} (${yDef.unit})`, + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + font: '10px system-ui, sans-serif', + values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')), + size: 40, + }, + ], + cursor: { + drag: { x: false, y: false }, + dataIdx: (u, seriesIdx, dataIdx) => { + const cursorLeft = u.cursor.left; + const cursorTop = u.cursor.top; + if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) { + let minD2 = Infinity; + let closestIdx = -1; + + for (let i = 0; i < currentSortedData.length; i++) { + const [xVal, yVal] = currentSortedData[i]; + const cx = u.valToPos(xVal, 'x'); + const cy = u.valToPos(yVal, 'y'); + + const dx = cx - cursorLeft; + const dy = cy - cursorTop; + const d2 = dx * dx + dy * dy; + + if (d2 < minD2) { + minD2 = d2; + closestIdx = i; + } + } + + // Only snap if within a reasonable distance (e.g. 50 pixels) + if (closestIdx >= 0 && minD2 < 2500) return closestIdx; + } + return dataIdx; + }, + points: { + size: 7, + stroke: '#fff', + width: 2, + fill: yDef.color, + }, + }, + legend: { show: false }, + hooks: { + draw: [ + (u: uPlot) => { + const ctx = u.ctx; + const dpr = window.devicePixelRatio || 1; + + // Draw faint lines connecting points in chronological order + ctx.save(); + ctx.beginPath(); + ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)'; + ctx.lineWidth = 1 * dpr; + + let started = false; + for (let i = 0; i < currentChronoData.length; i++) { + const [xVal, yVal] = currentChronoData[i]; + const cx = u.valToPos(xVal, 'x', true); + const cy = u.valToPos(yVal, 'y', true); + + if (started) { + ctx.lineTo(cx, cy); + } else { + ctx.moveTo(cx, cy); + started = true; + } + } + ctx.stroke(); + ctx.restore(); + + // Draw trail if slider is active + if (currentSliderIdx !== null) { + ctx.save(); + const windowSize = 100; // Longer trail + const startIdx = Math.max(0, currentSliderIdx - windowSize); + const endIdx = currentSliderIdx; + + // 1. Draw increasingly thicker connection line for the trail + for (let i = startIdx; i < endIdx; i++) { + const [xVal1, yVal1] = currentChronoData[i]; + const [xVal2, yVal2] = currentChronoData[i + 1]; + const cx1 = u.valToPos(xVal1, 'x', true); + const cy1 = u.valToPos(yVal1, 'y', true); + const cx2 = u.valToPos(xVal2, 'x', true); + const cy2 = u.valToPos(yVal2, 'y', true); + + const progress = (i - startIdx) / (endIdx - startIdx || 1); + const lineWidth = 1 + 5 * progress; // Grow from 1 to 6 + const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75 + + ctx.beginPath(); + ctx.moveTo(cx1, cy1); + ctx.lineTo(cx2, cy2); + ctx.strokeStyle = hexToRgba(yDef.color, alpha); + ctx.lineWidth = lineWidth * dpr; + ctx.stroke(); + } + + // 2. Draw dots on top + for (let i = startIdx; i <= endIdx; i++) { + const [xVal, yVal] = currentChronoData[i]; + const cx = u.valToPos(xVal, 'x', true); + const cy = u.valToPos(yVal, 'y', true); + + const progress = (i - startIdx) / (endIdx - startIdx || 1); + const size = 3 + 7 * progress; // Grow from 3 to 10 + const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15 + + ctx.beginPath(); + ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2); + ctx.fillStyle = hexToRgba(yDef.color, fillAlpha); + ctx.fill(); + + ctx.strokeStyle = yDef.color; + ctx.lineWidth = 1 * dpr; + ctx.stroke(); + } + ctx.restore(); + } + }, + ], + setCursor: [ + (u: uPlot) => { + const idx = u.cursor.idx; + + let tooltip = document.getElementById('combined-tooltip'); + if (!tooltip) { + tooltip = document.createElement('div'); + tooltip.id = 'combined-tooltip'; + tooltip.style.position = 'absolute'; + tooltip.style.background = 'rgba(14, 14, 16, 0.9)'; + tooltip.style.color = '#fff'; + tooltip.style.padding = '8px 12px'; + tooltip.style.borderRadius = '4px'; + tooltip.classList.add('font-m'); + tooltip.style.fontFamily = 'system-ui'; + tooltip.style.pointerEvents = 'none'; + tooltip.style.zIndex = '1000'; + tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)'; + tooltip.style.border = '1px solid #2e2e34'; + document.body.appendChild(tooltip); + } + + if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) { + const d = currentSortedData[idx]; + const timeSecs = d[2]; + const distKm = d[3]; + const origX = d[5]; + const origY = d[6]; + + tooltip.innerHTML = ` +
Point #${idx}
+
+ Time: + ${fmtSecs(timeSecs)} +
+
+ Distance: + ${distKm.toFixed(2)} km +
+
+ ${xDef.label}: + ${xDef.fmtAxis(origX)} ${xDef.unit} +
+
+ ${yDef.label}: + ${yDef.fmtAxis(origY)} ${yDef.unit} +
+ `; + tooltip.style.display = 'block'; + + const canvasRect = u.over.getBoundingClientRect(); + tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`; + tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`; + } else { + tooltip.style.display = 'none'; + } + }, + ], + }, + }; + + // Clear container before rendering (except when uPlot does it) + // uPlot handles its own canvas, but we need to clear any previous empty state message + if (container.querySelector('.empty-text')) container.innerHTML = ''; + + if (plot) plot.destroy(); + + plot = new uPlot(opts, [xData, yData], container); + + plot.over.addEventListener('click', () => { + if (plot) { + const idx = plot.cursor.idx; + if (idx != null && currentSortedData[idx]) { + const originalIdx = currentSortedData[idx][4]; + ChartView.setCursorAt(originalIdx); + } + } + }); + + // Ensure initial size is set synchronously + resizeCombined(); +} diff --git a/suites-experimental/tools-gps-tracks/src/tabs/courses.ts b/suites-experimental/tools-gps-tracks/src/tabs/courses.ts new file mode 100644 index 0000000000..7e190b96e0 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/tabs/courses.ts @@ -0,0 +1,621 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +import { MapView } from '../map'; +import { Storage } from '../storage'; +import { UrlState } from '../url-state'; +import { escHtml, fmtPace, fmtDate, haversine } from '../utils'; +import { SPORTS } from '../sports'; +import { METRICS } from '../metrics'; +import { selectTrack } from '../app'; +import { ChartView } from '../charts'; + +export interface CoursePoint { + lat: number; + lon: number; + radius: number; // in meters + name?: string; +} + +export interface Course { + id: string; + name: string; + points: CoursePoint[]; +} + +let courses: Course[] = []; + +export function getCoursesForTrack(track: any): Course[] { + return courses.filter((c) => { + if (c.points.length === 0) return false; + for (const pt of c.points) { + let passesPoint = false; + for (const trackPt of track.points) { + const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon); + if (d <= pt.radius) { + passesPoint = true; + break; + } + } + if (!passesPoint) return false; + } + return true; + }); +} + +let activeCourseId: string | null = null; +let isEditMode = false; +let openCourseId: string | null = null; +let toastFn: (msg: string, type?: string) => void = () => {}; +let courseLayer: any = null; +let zoomListener: (() => void) | null = null; + +export function initCourses(showToast: (msg: string, type?: string) => void) { + toastFn = showToast; + loadCourses(); +} + +export function resetCourses() { + courses = []; + activeCourseId = null; + openCourseId = null; + isEditMode = false; + const container = document.getElementById('courses-view'); + if (container) { + container.innerHTML = ` +
+ route +
No courses created yet
+
+ `; + } +} + +export function prepareBenchmarkCourses(allTracks: any[]) { + courses = []; + for (let i = 0; i < Math.min(3, allTracks.length); i++) { + const t = allTracks[i]; + if (!t?.points || t.points.length < 10) continue; + const n = t.points.length; + const pStart = t.points[Math.floor(n * 0.1)]; + const pMid = t.points[Math.floor(n * 0.5)]; + const pEnd = t.points[Math.floor(n * 0.85)]; + courses.push({ + id: `course-${i + 1}`, + name: `${t.displayName || t.name || `Course ${i + 1}`} Segment`, + points: [ + { lat: pStart.lat, lon: pStart.lon, radius: 250, name: 'Start' }, + { lat: pMid.lat, lon: pMid.lon, radius: 250, name: 'Checkpoint' }, + { lat: pEnd.lat, lon: pEnd.lon, radius: 250, name: 'Finish' }, + ], + }); + } + if (courses.length > 0) { + activeCourseId = courses[0].id; + openCourseId = courses[0].id; + } +} + +async function loadCourses() { + try { + const stored = await Storage.get('courses'); + if (stored) courses = stored; + } catch (e) { + console.error('Courses: Failed to load courses', e); + } +} + +async function saveCourses() { + try { + await Storage.set('courses', courses); + } catch (e) { + console.error('Courses: Failed to save courses', e); + toastFn('Failed to save courses', 'error'); + } +} + +function calculateCourseDistance(course: Course): number { + let total = 0; + for (let i = 0; i < course.points.length - 1; i++) { + const p1 = course.points[i]; + const p2 = course.points[i + 1]; + total += haversine(p1.lat, p1.lon, p2.lat, p2.lon); + } + return total / 1000; // in km +} + +export function findCourseRange( + track: any, + coursePoints: CoursePoint[], +): { startIdx: number; endIdx: number } | null { + if (coursePoints.length < 2) return null; + + let currentPtIdx = 0; + let startIdx = -1; + let endIdx = -1; + + for (let i = 0; i < track.points.length; i++) { + const tp = track.points[i]; + const cp = coursePoints[currentPtIdx]; + const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon); + + if (d <= cp.radius) { + if (currentPtIdx === 0) startIdx = i; + + if (currentPtIdx === coursePoints.length - 1) { + endIdx = i; + return { startIdx, endIdx }; + } + currentPtIdx++; + } + } + return null; +} + +export function calculateCourseStats(track: any, startIdx: number, endIdx: number) { + const points = track.points.slice(startIdx, endIdx + 1); + const startTime = points[0]?.time || 0; + const endTime = points[points.length - 1]?.time || 0; + const duration = (endTime - startTime) / 1000; // in seconds + + let totalPower = 0; + let powerCount = 0; + let totalHR = 0; + let hrCount = 0; + let totalSpeed = 0; + let speedCount = 0; + let totalCadence = 0; + let cadenceCount = 0; + let totalAscent = 0; + + for (let i = 0; i < points.length; i++) { + const p = points[i]; + if (p.power != null) { + totalPower += p.power; + powerCount++; + } + if (p.hr != null) { + totalHR += p.hr; + hrCount++; + } + if (p.speed != null) { + totalSpeed += p.speed; + speedCount++; + } + if (p.cadence != null) { + totalCadence += p.cadence; + cadenceCount++; + } + if (i > 0) { + const prev = points[i - 1]; + if (p.ele != null && prev.ele != null) { + const de = p.ele - prev.ele; + if (de > 0) totalAscent += de; + } + } + } + + const dist = + points.length > 1 ? (points[points.length - 1].dist || 0) - (points[0].dist || 0) : 0; + + return { + duration, + dist, + avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null, + avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null, + avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null, + avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null, + avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null, + }; +} + +function formatDuration(seconds: number): string { + const h = Math.floor(seconds / 3600); + const m = Math.floor((seconds % 3600) / 60); + const s = Math.floor(seconds % 60); + if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`; + + return `${m}:${s.toString().padStart(2, '0')}`; +} + +export function renderCourseTableHeaders() { + return ` + calendar_today Date + straighten Distance + timer Duration + speed Speed + speed Pace + trending_up VAM + bolt Power + favorite HR + `; +} + +export function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) { + const sportDef = sport ? SPORTS[sport.toLowerCase()] : null; + const paceUnit = sportDef?.paceUnit || 'km'; + let paceStr = '--'; + if (stats.avgSpeed != null && stats.avgSpeed > 0.1) { + const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed; + paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`; + } + + return ` + ${dateStr} + ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'} + ${formatDuration(stats.duration)} + ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'} + ${paceStr} + ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'} + ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'} + ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'} + `; +} + +export function renderCourses() { + const container = document.getElementById('courses-view'); + if (!container) return; + + // Evaluate multi-gate geospatial course corridor proximity across courses and candidate tracks + let corridorDeviationSum = 0; + for (const c of courses) { + if (c.points.length < 2) continue; + const candidateIds = MapView.findTracksPassingThroughPoints( + c.points.map((p) => ({ lat: p.lat, lng: p.lon })), + c.points[0]?.radius || 20, + ); + const numGates = 3; + const gates: { lat: number; lon: number }[] = []; + for (let g = 0; g < numGates; g++) { + const t = g / (numGates - 1); + const segFloat = t * (c.points.length - 1); + const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat)); + const frac = segFloat - segIdx; + const pA = c.points[segIdx]; + const pB = c.points[segIdx + 1]; + gates.push({ + lat: pA.lat + (pB.lat - pA.lat) * frac, + lon: pA.lon + (pB.lon - pA.lon) * frac, + }); + } + for (const id of candidateIds) { + const trk = MapView.getTrackData(id) as any; + const pts = trk?.points || []; + for (let g = 0; g < gates.length; g++) { + const gate = gates[g]; + let minDist = Infinity; + let bestIdx = 0; + for (let i = 0; i < pts.length; i++) { + const d = haversine(gate.lat, gate.lon, pts[i].lat, pts[i].lon); + if (d < minDist) { + minDist = d; + bestIdx = i; + } + } + if (pts[bestIdx]) { + corridorDeviationSum += minDist + (pts[bestIdx].power || 0) * 0.01; + } + } + } + } + container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2); + + container.innerHTML = ` +
+
+
+
+ ${ + isEditMode + ? ` + + ` + : ` + + ` + } +
+
+
+
+ ${ + courses.length === 0 + ? ` +
+ route +
No courses created yet
+
+ ` + : courses + .map((c) => { + const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon })); + const matchingIds = MapView.findTracksPassingThroughPoints( + pts, + c.points[0]?.radius || 20, + ); + const isOpen = c.id === openCourseId; + let tracksHtml = ''; + if (isOpen) { + const matchedTracksWithStats = matchingIds + .map((id) => { + const track = MapView.getTrackData(id) as any; + if (!track) return null; + const range = findCourseRange(track, c.points); + if (!range) return null; + const stats = calculateCourseStats(track, range.startIdx, range.endIdx); + const startTime = track.stats?.startTime || track.points?.[0]?.time; + const dateStr = startTime ? fmtDate(startTime) : '-'; + return { + id, + displayName: track.displayName || track.name || id, + date: dateStr, + sport: track.sport, + color: track.color, + ...stats, + startIdx: range.startIdx, + endIdx: range.endIdx, + }; + }) + .filter((t) => t !== null) as any[]; + + // Sort by duration (fastest first), tie-break by id + matchedTracksWithStats.sort( + (a, b) => a.duration - b.duration || a.id.localeCompare(b.id), + ); + + tracksHtml = ` +
+ ${ + matchedTracksWithStats.length === 0 + ? ` +
No matching tracks
+ ` + : ` + + + + + ${renderCourseTableHeaders()} + + + + ${matchedTracksWithStats + .map((t) => { + const isSelected = t.id === UrlState.get().track; + return ` + + + ${renderCourseTableCells(t, t.sport, t.date)} + + `; + }) + .join('')} + +
Track (${matchedTracksWithStats.length})
+
+
+ ${escHtml(t.displayName)} +
+
+ ` + } +
+ `; + } + return ` +
+
+ ${isOpen ? 'expand_more' : 'chevron_right'} +
${escHtml(c.name)} edit
+
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
+
+ + +
+
+ ${tracksHtml} +
+ `; + }) + .join('') + } +
+
+ `; + + document.getElementById('btn-new-course')?.addEventListener('click', () => { + createNewCourse(); + }); + + document.getElementById('btn-done-edit')?.addEventListener('click', () => { + isEditMode = false; + MapView.setCustomClickHandler(null); + document.getElementById('map-container')?.classList.remove('editing-mode'); + renderCourses(); + }); + + container.querySelectorAll('.course-item').forEach((el) => { + const id = (el as HTMLElement).dataset.id!; + el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => { + e.stopPropagation(); + editCourse(id); + }); + el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => { + e.stopPropagation(); + renameCourse(id); + }); + el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => { + e.stopPropagation(); + deleteCourse(id); + }); + el.querySelector('.course-item-header')?.addEventListener('click', (e) => { + if ( + (e.target as HTMLElement).closest('.course-actions') || + (e.target as HTMLElement).closest('.btn-rename-course') + ) + return; + + selectCourse(id); + openCourseId = openCourseId === id ? null : id; + renderCourses(); + }); + + el.querySelectorAll('.course-track-row').forEach((row) => { + const trackId = (row as HTMLElement).dataset.trackId!; + const startIdx = parseInt((row as HTMLElement).dataset.start!, 10); + const endIdx = parseInt((row as HTMLElement).dataset.end!, 10); + + row.querySelector('.track-name-cell')?.addEventListener('click', (e) => { + e.stopPropagation(); + const track = MapView.getTrackData(trackId); + if (track) { + // Select track (clears selection in app.ts) + selectTrack(trackId, false); + + // Delay execution slightly to let selectTrack finish and ChartView to initialize + setTimeout(() => { + const pts = track.points; + const t0 = pts.find((p: any) => p.time != null)?.time || 0; + + // Ensure indices are within bounds + const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1)); + const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1)); + + const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000); + const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000); + + const axis = ChartView.getXAxis(); + let selMin = tMin; + let selMax = tMax; + + if (axis === 'distance') { + selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000); + selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000); + } + + // Set selection and switch tab + UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true); + + // Manually restore selection in ChartView (expects seconds from start) + ChartView.restoreSelection(tMin, tMax); + + // Highlight segment on map + MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true); + }, 50); + } + }); + + row.addEventListener('mouseenter', () => { + MapView.setTrackHover(trackId, true); + }); + + row.addEventListener('mouseleave', () => { + MapView.setTrackHover(trackId, false); + }); + }); + }); +} + +function createNewCourse() { + const name = `Course ${courses.length + 1}`; + + const newCourse: Course = { + id: Math.random().toString(36).substring(2, 9), + name: name, + points: [], + }; + + courses.push(newCourse); + saveCourses(); + renderCourses(); + editCourse(newCourse.id); +} + +function renameCourse(id: string) { + const course = courses.find((c) => c.id === id); + if (!course) return; + + const el = document.querySelector(`.course-item[data-id="${id}"]`); + if (!el) return; + + const nameEl = el.querySelector('.course-name'); + if (!nameEl) return; + + const currentName = course.name; + nameEl.innerHTML = ``; + + const input = nameEl.querySelector('.course-name-input') as HTMLInputElement; + input.focus(); + input.select(); + + const save = () => { + const newName = input.value.trim(); + if (newName !== '') { + course.name = newName; + saveCourses(); + } + renderCourses(); + }; + + input.addEventListener('blur', save); + input.addEventListener('keydown', (e) => { + if (e.key === 'Enter') save(); + else if (e.key === 'Escape') renderCourses(); + }); +} + +function editCourse(id: string) { + activeCourseId = id; + isEditMode = true; + renderCourses(); +} + +function clearCourseLayer() { + courseLayer = null; +} + +function addPointToCourse(courseId: string, lat: number, lon: number) { + const course = courses.find((c) => c.id === courseId); + if (!course) return; + + const newPoint: CoursePoint = { + lat, + lon, + radius: 20, // 20m default radius + }; + + course.points.push(newPoint); + saveCourses(); + renderCourses(); +} + +function renderCourseOnMap(courseId: string) { + // Map rendering removed for benchmark +} + +export function selectCourse(id: string, open: boolean = false) { + activeCourseId = id; + if (open) openCourseId = id; + isEditMode = false; + MapView.setCustomClickHandler(null); + clearCourseLayer(); + renderCourses(); +} + +function deleteCourse(id: string) { + if (!confirm('Are you sure you want to delete this course?')) return; + courses = courses.filter((c) => c.id !== id); + if (activeCourseId === id) { + activeCourseId = null; + clearCourseLayer(); + } + saveCourses(); + renderCourses(); +} diff --git a/suites-experimental/tools-gps-tracks/src/tabs/details.ts b/suites-experimental/tools-gps-tracks/src/tabs/details.ts new file mode 100644 index 0000000000..a9dd0e7426 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/tabs/details.ts @@ -0,0 +1,550 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +import { TrackData, Parsers } from '../parsers'; +import { Storage } from '../storage'; +import { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils'; +import { SPORTS, getSportIcon } from '../sports'; +import { Metrics } from '../metrics'; +import { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses'; +import { UrlState } from '../url-state'; + +const SENSOR_ICONS: Record = { + 'Heart Rate': Metrics.hr.icon, + Cadence: Metrics.cadence.icon, + Power: Metrics.power.icon, + Temperature: Metrics.temperature.icon, + Shifting: Metrics.gears.icon, + Battery: Metrics.battery.icon, +}; + +let onTagsChangeCb: () => void = () => {}; +let onDeleteTrackCb: (id: string) => void = () => {}; +export function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) { + onTagsChangeCb = onTagsChange; + onDeleteTrackCb = onDeleteTrack; +} + +export function resetDetails() { + const container = document.getElementById('details-view'); + if (container) { + container.innerHTML = ` +
+ no_sim +
Select a track for details
+
+ `; + } +} + +export function renderDetails(track: TrackData | null, globalTags: string[] = []) { + const container = document.getElementById('details-view'); + if (!container) return; + + if (!track) { + container.innerHTML = ''; + return; + } + + const s = track.stats; + const t0 = track.points[0].time; + const pts = track.points; + + // Compute multi-window rolling telemetry stability & autocorrelation index + const stabilityWindows = [ + 2, 3, 4, 5, 6, 8, 10, 12, 15, 18, 20, 25, 30, 35, 40, 45, 50, 60, 75, 90, 105, 120, 150, 180, + 240, 300, + ]; + const stabilityFields: (keyof (typeof pts)[0])[] = [ + 'power', + 'hr', + 'cad', + 'speed', + 'ele', + 'temp', + 'dist', + ]; + let stabilityAccum = 0; + for (let pass = 0; pass < 1; pass++) { + for (const w of stabilityWindows) { + for (const f of stabilityFields) { + let sum = 0; + let sumSq = 0; + let autoCov = 0; + const halfW = w >> 1; + for (let i = 0; i < pts.length; i++) { + const v = (pts[i][f] as number) || 0; + sum += v; + sumSq += v * v; + if (i >= w) { + const old = (pts[i - w][f] as number) || 0; + sum -= old; + sumSq -= old * old; + const mean = sum / w; + const variance = Math.max(0, sumSq / w - mean * mean); + const lagVal = (pts[i - halfW][f] as number) || 0; + autoCov += ((v - mean) * (lagVal - mean)) / (variance + 1); + } + } + stabilityAccum += autoCov / (pts.length || 1); + } + } + } + const telemetryStabilityPct = Math.min( + 99.9, + Math.max(80.0, 95.0 + Math.tanh(stabilityAccum * 0.01) * 4.5), + ).toFixed(1); + + container.innerHTML = ` +
+ +
+ +
+
+
labelTags
+
+
+ + + ${globalTags.map((t) => ` + +
+
+ +
+
analyticsActivity Summary
+
+
+
Distance
+
${(s.totalDist / 1000).toFixed(2)} km
+
+
+
Duration
+
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '—'}
+
+
+
Avg Speed
+
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '—'} km/h
+
+
+
Max Speed
+
${(s.maxSpeed * 3.6).toFixed(1)} km/h
+
+ ${ + s.avgBattery !== null + ? `
+
Avg Battery
+
${s.avgBattery}%
+
` + : '' + } +
+
+ +
+
infoFile Metadata
+
+
+
Original Filename
+
${escHtml(track.fileName || '—')}
+
+
+
File Size
+
${track.fileSize ? fmtFileSize(track.fileSize) : '—'}
+
+
+
Format
+
${track.format.toUpperCase()}
+
+
+
Sport
+
+ ${getSportIcon(track.sport)} + ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '—')} + expand_more + ${track.subSport ? `(${escHtml(track.subSport)})` : ''} +
+
+
+
Device / Creator
+
${track.device || 'Unknown Device'}
+
+
+
Start Time
+
${t0 ? fmtDateTime(t0) : 'Unknown'}
+
+
+
+ +
+
sensorsSensor Info
+
+
+
Total Points
+
${track.points.length.toLocaleString('en-US')} pts
+
+
+
Telemetry Stability
+
${telemetryStabilityPct}%
+
+
+
Sensors Found
+
+ ${ + s.sensors.length + ? s.sensors + .map( + (sensor) => + `${SENSOR_ICONS[sensor] || 'sensors'}`, + ) + .join('') + : 'GPS only' + } +
+
+
+
+ + ${ + s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null + ? ` +
+
monitoringBiometric Averages
+
+ ${ + s.avgHR + ? `
+
Avg HR
+
${s.avgHR} bpm
+
` + : '' + } + ${ + s.maxHR + ? `
+
Max HR
+
${s.maxHR} bpm
+
` + : '' + } + ${ + s.avgPower + ? `
+
Avg Power
+
${s.avgPower} W
+
` + : '' + } + ${ + s.maxPower + ? `
+
Max Power
+
${s.maxPower} W
+
` + : '' + } + ${ + s.avgCadence + ? `
+
Avg Cadence
+
${s.avgCadence} rpm
+
` + : '' + } + ${ + s.avgTemp != null + ? `
+
Avg Temp
+
${s.avgTemp.toFixed(1)} °C
+
` + : '' + } + ${ + s.minTemp != null && s.maxTemp != null + ? `
+
Temp Range
+
${s.minTemp.toFixed(1)} – ${s.maxTemp.toFixed(1)} °C
+
` + : '' + } +
+
` + : '' + } + + ${ + s.shifts !== null + ? ` +
+
settingsDrivetrain
+
+
+
Total Shifts
+
${s.shifts}
+
+
+
` + : '' + } + + ${ + track.devices && track.devices.length > 0 + ? ` +
+
watchHardware & Sensors
+
+ ${(() => { + const seen = new Set(); + return track + .devices!.filter((d) => { + const hasIdentifiableInfo = d.name || d.product || d.manufacturer; + if (!hasIdentifiableInfo) return false; + + const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`; + if (seen.has(key)) return false; + seen.add(key); + return true; + }) + .map((d) => { + const name = d.name || d.product || 'Unknown Device'; + const manufacturer = d.manufacturer + ? `${d.manufacturer}` + : ''; + const extra = [ + d.serial ? `SN: ${d.serial}` : null, + d.version ? `v${d.version}` : null, + d.hardwareVersion ? `hw:${d.hardwareVersion}` : null, + ] + .filter(Boolean) + .join(' • '); + + const battery = [ + d.batteryLevel ? `${d.batteryLevel}%` : null, + d.batteryStatus ? `Status: ${d.batteryStatus}` : null, + d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null, + ] + .filter(Boolean) + .join(' • '); + + let sourceIcon = ''; + const st = String(d.sourceType || '').toLowerCase(); + if (st.includes('local')) sourceIcon = 'memory'; + else if (st.includes('antplus') || st.includes('ant_plus')) + sourceIcon = 'settings_input_antenna'; + else if (st.includes('bluetooth')) sourceIcon = 'bluetooth'; + + let deviceIcon = 'sensors'; + const nameLower = String(name).toLowerCase(); + if (nameLower.includes('heartrate') || nameLower.includes('hrm')) + deviceIcon = Metrics.hr.icon; + else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon; + else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon; + else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon; + else if (nameLower.includes('barometer')) deviceIcon = 'air'; + else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon; + else if (nameLower.includes('gps')) deviceIcon = 'location_on'; + + return ` +
+
+
+ ${deviceIcon} +
${escHtml(name)}
+ ${sourceIcon ? `${sourceIcon}` : ''} +
+
${manufacturer}
+
+ ${ + extra + ? `
${escHtml(extra)}
` + : '' + } +
+
${escHtml(d.type || 'device')}
+ ${ + battery + ? `
+ battery_charging_full + ${escHtml(battery)} +
` + : '' + } +
+
+ `; + }) + .join(''); + })()} +
+
` + : '' + } +
+
deleteDanger Zone
+
+ +
+
+
+ `; + + const tagContainer = document.getElementById('tag-container')!; + const tagInput = document.getElementById('new-tag-input') as HTMLInputElement; + const addBtn = document.getElementById('btn-add-tag')!; + + const renderTags = () => { + tagContainer.innerHTML = ''; + const tags = track.tags || []; + if (tags.length === 0) { + tagContainer.innerHTML = + 'No tags added'; + return; + } + tags.forEach((tag) => { + const c = getTagColor(tag); + const el = document.createElement('div'); + el.className = 'tag-pill font-s'; + el.style.cssText = ` + background: ${c}15; + border: 1px solid ${c}44; + color: ${c}; + padding: 2px 8px; + border-radius: 4px; + font-weight: 600; + display: flex; + align-items: center; + gap: 6px; + `; + el.innerHTML = ` + ${escHtml(tag)} + close + `; + tagContainer.appendChild(el); + }); + + tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => { + btn.addEventListener('click', async (e) => { + const tag = (e.currentTarget as HTMLElement).dataset.tag!; + track.tags = (track.tags || []).filter((t) => t !== tag); + await Storage.save(track); + renderTags(); + onTagsChangeCb(); + }); + }); + }; + + const addTag = async () => { + const val = tagInput.value.trim().toLowerCase(); + if (!val) return; + const tags = new Set(track.tags || []); + if (tags.has(val)) { + tagInput.value = ''; + return; + } + tags.add(val); + track.tags = Array.from(tags).sort(); + await Storage.save(track); + tagInput.value = ''; + renderTags(); + onTagsChangeCb(); + }; + + addBtn.addEventListener('click', addTag); + tagInput.addEventListener('keydown', (e) => { + if (e.key === 'Enter') addTag(); + }); + + const titleInput = container.querySelector('#details-title-input') as HTMLInputElement; + titleInput?.addEventListener('change', async () => { + const val = titleInput.value.trim(); + if (!val) return; + track.displayName = val; + await Storage.save(track); + onTagsChangeCb(); // Refresh track list + }); + + const sportTrigger = document.getElementById('sport-dropdown-trigger'); + sportTrigger?.addEventListener('click', (e) => { + e.stopPropagation(); + showSportMenu(sportTrigger); + }); + + function showSportMenu(anchorEl: HTMLElement) { + if (!track) return; + document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove()); + + const popup = document.createElement('div'); + popup.className = 'metric-menu-popup'; + + Object.keys(SPORTS).forEach((key) => { + const def = SPORTS[key]; + const item = document.createElement('div'); + const isActive = track.sport?.toLowerCase() === key; + item.className = `menu-item ${isActive ? 'active' : ''}`; + item.innerHTML = ` + ${def.icon} + ${def.name} + ${isActive ? 'check' : ''} + `; + item.addEventListener('click', async () => { + track.sport = key; + await Storage.save(track); + popup.remove(); + const iconEl = document.getElementById('sport-icon'); + if (iconEl) iconEl.textContent = def.icon; + const nameEl = document.getElementById('sport-name'); + if (nameEl) nameEl.textContent = def.name; + onTagsChangeCb(); + }); + popup.appendChild(item); + }); + + const clearItem = document.createElement('div'); + const isClear = !track.sport; + clearItem.className = `menu-item ${isClear ? 'active' : ''}`; + clearItem.innerHTML = ` + block + — + ${isClear ? 'check' : ''} + `; + clearItem.addEventListener('click', async () => { + track.sport = undefined; + await Storage.save(track); + popup.remove(); + const iconEl = document.getElementById('sport-icon'); + if (iconEl) iconEl.textContent = 'question_mark'; + const nameEl = document.getElementById('sport-name'); + if (nameEl) nameEl.textContent = '—'; + onTagsChangeCb(); + }); + popup.appendChild(clearItem); + + document.body.appendChild(popup); + + const rect = anchorEl.getBoundingClientRect(); + popup.style.top = `${rect.bottom + window.scrollY + 4}px`; + popup.style.left = `${rect.left + window.scrollX}px`; + + const closeHandler = (e: MouseEvent) => { + if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) { + popup.remove(); + document.removeEventListener('click', closeHandler); + } + }; + setTimeout(() => document.addEventListener('click', closeHandler), 10); + } + + renderTags(); + + const deleteBtn = document.getElementById('btn-delete-track'); + deleteBtn?.addEventListener('click', () => { + if (confirm(`Remove "${track.name}"?`)) onDeleteTrackCb(track.id); + }); +} diff --git a/suites-experimental/tools-gps-tracks/src/tabs/insights.ts b/suites-experimental/tools-gps-tracks/src/tabs/insights.ts new file mode 100644 index 0000000000..724576a91e --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/tabs/insights.ts @@ -0,0 +1,819 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +import uPlot from 'uplot'; +import { TrackData, Parsers } from '../parsers'; +import { Storage } from '../storage'; +import { MapView } from '../map'; +import { Zones } from '../zones'; +import { ChartView } from '../charts'; +import { UrlState } from '../url-state'; +import { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils'; +import { Metrics } from '../metrics'; +import { SPORTS } from '../sports'; +import { + getCoursesForTrack, + selectCourse, + findCourseRange, + calculateCourseStats, + renderCourseTableHeaders, + renderCourseTableCells, +} from './courses'; + +let toastFn: (msg: string, type?: string) => void = () => {}; +let insightPlots: uPlot[] = []; + +function destroyInsightPlots() { + insightPlots.forEach((p) => p.destroy()); + insightPlots = []; +} + +export function initInsights(showToast: (msg: string, type?: string) => void) { + toastFn = showToast; +} + +export function resetInsights() { + destroyInsightPlots(); + document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove()); + const container = document.getElementById('insights-view'); + if (container) { + container.innerHTML = ` +
+ no_sim +
Select a track for insights
+
+ `; + } +} + +export function renderInsights(track: TrackData | null) { + destroyInsightPlots(); + const container = document.getElementById('insights-view'); + if (!container) return; + + if (!track) { + container.innerHTML = ''; + return; + } + + const s = track.stats; + Parsers.ensureCurvesAndZones(track); + if (!s.powerCurve && !s.hrZones && !s.hrCurve) { + container.innerHTML = ` +
+ analytics +
No insights available for this track (requires Power or Heart Rate data)
+
+ `; + return; + } + + // Compute multi-tau W' balance & aerobic decoupling profile across the track + const pts = track.points; + const cp = Parsers.getFTP(); + const tauCandidates = [180, 240, 300, 360, 420, 480, 540, 600, 720, 900]; + let minWPrimeBal = 20000; + for (let pass = 0; pass < 8; pass++) { + for (let ti = 0; ti < tauCandidates.length; ti++) { + const tau = tauCandidates[ti] + pass * 15; + const decay = Math.exp(-1 / tau); + let wBal = 20000; + let efSum1 = 0; + let efSum2 = 0; + const half = pts.length >> 1; + for (let i = 0; i < pts.length; i++) { + const p = pts[i].power || 0; + const h = pts[i].hr || 1; + if (p > cp) { + wBal -= p - cp; + } else { + wBal = 20000 - (20000 - wBal) * decay; + } + if (wBal < minWPrimeBal) minWPrimeBal = wBal; + const ef = p / h; + if (i < half) efSum1 += ef; + else efSum2 += ef; + } + if (efSum1 + efSum2 < -1) minWPrimeBal = 0; + } + } + + container.innerHTML = ` +
+ `; + + const grid = document.getElementById('insights-grid'); + if (!grid) return; + + const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480; + + if (s.powerCurve) { + renderCurveCard({ + grid, + track, + curve: s.powerCurve, + metricKey: 'power', + label: 'Power Curve', + unit: 'W', + color: Metrics.power.color, + icon: 'bolt', + chartWidth, + }); + } + + if (s.hrCurve) { + renderCurveCard({ + grid, + track, + curve: s.hrCurve, + metricKey: 'hr', + label: 'Heart Rate Curve', + unit: 'bpm', + color: Metrics.hr.color, + icon: 'favorite', + chartWidth, + }); + } + + if (s.powerZones) { + const card = document.createElement('div'); + card.className = 'insight-card'; + const metricKey = 'power'; + const color = Metrics.power.color; + card.style.setProperty('--chart-color', color); + const isMapColored = ChartView.getMapColorMetric() === metricKey; + + const totalTime = s.powerZones.reduce((a, b) => a + b, 0); + const zones = Zones.getPowerZones(); + + let zonesHtml = ''; + s.powerZones.forEach((time, i) => { + if (i >= zones.length) return; + const z = zones[i]; + const pct = totalTime > 0 ? (time / totalTime) * 100 : 0; + const rangeText = isFinite(z.max) + ? `${Math.round(z.min)} - ${Math.round(z.max)} W` + : `> ${Math.round(z.min)} W`; + + zonesHtml += ` +
+
+ Z${i + 1} + ${z.name} + ${rangeText} + ${fmtSecs(Math.round(time))} + ${pct.toFixed(1)}% +
+
+
+
+
+ `; + }); + + card.innerHTML = ` +
+
+
+ boltPower Zones +
+ +
+ +
+
${zonesHtml}
+ `; + grid.appendChild(card); + + card.querySelector('.map-color-btn')?.addEventListener('click', (e) => { + e.stopPropagation(); + ChartView.toggleMapColor(metricKey); + const current = ChartView.getMapColorMetric(); + grid.querySelectorAll('.map-color-btn').forEach((btn) => { + const b = btn as HTMLElement; + b.classList.toggle('active', b.dataset.metric === current); + }); + }); + + card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => { + e.stopPropagation(); + showPowerZoneSettings(e.currentTarget as HTMLElement, track); + }); + } + + if (s.hrZones) { + const card = document.createElement('div'); + card.className = 'insight-card'; + const metricKey = 'hr'; + const color = Metrics.hr.color; + card.style.setProperty('--chart-color', color); + const isMapColored = ChartView.getMapColorMetric() === metricKey; + + const totalTime = s.hrZones.reduce((a, b) => a + b, 0); + const zones = Zones.getHRZones(); + + let zonesHtml = ''; + s.hrZones.forEach((time, i) => { + if (i >= zones.length) return; + const z = zones[i]; + const pct = totalTime > 0 ? (time / totalTime) * 100 : 0; + const rangeText = isFinite(z.max) + ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm` + : `> ${Math.round(z.min)} bpm`; + + zonesHtml += ` +
+
+ Z${i + 1} + ${z.name} + ${rangeText} + ${fmtSecs(Math.round(time))} + ${pct.toFixed(1)}% +
+
+
+
+
+ `; + }); + + card.innerHTML = ` +
+
+
+ favoriteHeart Rate Zones +
+ +
+ +
+
${zonesHtml}
+ `; + grid.appendChild(card); + + card.querySelector('.map-color-btn')?.addEventListener('click', (e) => { + e.stopPropagation(); + ChartView.toggleMapColor(metricKey); + const current = ChartView.getMapColorMetric(); + grid.querySelectorAll('.map-color-btn').forEach((btn) => { + const b = btn as HTMLElement; + b.classList.toggle('active', b.dataset.metric === current); + }); + }); + + card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => { + e.stopPropagation(); + showHRZoneSettings(e.currentTarget as HTMLElement, track); + }); + } + + const climbingCard = document.createElement('div'); + climbingCard.className = 'insight-card'; + const distKm = s.totalDist / 1000; + const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0; + + climbingCard.innerHTML = ` +
+ terrainClimbing Analysis +
+
+
+
Total Ascent
+
${Math.round(s.elevGain)} m
+
+
+
Total Descent
+
${Math.round(s.elevLoss)} m
+
+
+
Avg Grade
+
${grade.toFixed(1)} %
+
+
+
VAM
+
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
+
+
+ `; + grid.appendChild(climbingCard); + + if (s.avgPower && s.avgHR) { + const effCard = document.createElement('div'); + effCard.className = 'insight-card'; + const ef = s.avgPower / s.avgHR; + + effCard.innerHTML = ` +
+ monitoringEfficiency Factor +
+
+
+
EF (Avg Power / Avg HR)
+
${ef.toFixed(2)}
+
Higher values indicate better aerobic fitness.
+
+
+ `; + grid.appendChild(effCard); + } + + const trackCourses = getCoursesForTrack(track); + if (trackCourses.length > 0) { + const coursesCard = document.createElement('div'); + coursesCard.className = 'insight-card'; + coursesCard.style.cssText = 'column-span: all; display: block;'; + + coursesCard.innerHTML = ` +
routeCourses (${trackCourses.length})
+
+ + + + + ${renderCourseTableHeaders()} + + + + ${trackCourses + .map((c) => { + const range = findCourseRange(track, c.points); + let statsHtml = ''; + if (range) { + const stats = calculateCourseStats(track, range.startIdx, range.endIdx); + const startTime = track.stats?.startTime || track.points?.[0]?.time; + const dateStr = startTime ? fmtDate(startTime) : '-'; + + statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr); + } else { + statsHtml = + ''; + } + + return ` + + + ${statsHtml} + + `; + }) + .join('')} + +
Name
No continuous segment
+
+
+ ${escHtml(c.name)} +
+
+
+ `; + grid.appendChild(coursesCard); + + coursesCard.querySelectorAll('.clickable-course').forEach((el) => { + el.addEventListener('click', () => { + const courseId = (el as HTMLElement).dataset.id!; + selectCourse(courseId, true); + UrlState.patch({ tab: 'courses' }, true); + }); + + el.addEventListener('mouseenter', () => { + const courseId = (el as HTMLElement).dataset.id!; + const c = trackCourses.find((course) => course.id === courseId); + if (c) { + const range = findCourseRange(track, c.points); + if (range) + MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false); + } + }); + + el.addEventListener('mouseleave', () => { + MapView.clearHighlight(); + }); + }); + } +} + +interface CurveCardOptions { + grid: HTMLElement; + track: TrackData; + curve: any; + metricKey: string; + label: string; + unit: string; + color: string; + icon: string; + chartWidth?: number; +} + +function renderCurveCard(opts: CurveCardOptions) { + const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts; + const isMapColored = ChartView.getMapColorMetric() === metricKey; + + const card = document.createElement('div'); + card.className = 'insight-card'; + card.style.setProperty('--chart-color', color); + card.innerHTML = ` +
+
+
+ ${icon}${label} +
+ +
+ +
+
+ + `; + grid.appendChild(card); + + const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement; + const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement; + const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement; + + toggleBtn.addEventListener('click', () => { + const isHidden = tableWrap.style.display === 'none'; + tableWrap.style.display = isHidden ? 'block' : 'none'; + toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more'; + }); + + const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement; + mapColorBtn.addEventListener('click', (e) => { + e.stopPropagation(); + const key = mapColorBtn.dataset.metric!; + ChartView.toggleMapColor(key); + + // Sync all palette buttons in the Insights tab + const current = ChartView.getMapColorMetric(); + grid.querySelectorAll('.map-color-btn').forEach((btn) => { + const b = btn as HTMLElement; + b.classList.toggle('active', b.dataset.metric === current); + }); + }); + + const tbody = card.querySelector('.curve-tbody'); + const durations = Object.keys(curve) + .map(Number) + .sort((a, b) => a - b); + + durations.forEach((d) => { + const entry = curve[d]; + const val = (entry as any).power || (entry as any).hr || (entry as any).val; + const row = document.createElement('tr'); + row.innerHTML = ` + ${fmtDuration(d)} + ${val} ${unit} + + + + `; + tbody?.appendChild(row); + }); + + tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => { + btn.addEventListener('click', (e) => { + const b = e.currentTarget as HTMLElement; + const startIdx = parseInt(b.dataset.idx!); + const duration = parseInt(b.dataset.len!); + const pts = track.points; + const endIdx = Math.min(pts.length - 1, startIdx + duration - 1); + + const t0 = pts[0].time || 0; + const tMin = ((pts[startIdx].time || t0) - t0) / 1000; + const tMax = ((pts[endIdx].time || t0) - t0) / 1000; + + UrlState.patch({ sel: [tMin, tMax] }); + MapView.highlightSegment(track.id, pts, startIdx, endIdx, true); + }); + }); + + const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement; + if (chartEl) { + const xData = durations; + const yData = durations.map( + (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val, + ); + + const curYVal = document.createElement('div'); + curYVal.className = 'cur-y-val'; + curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`; + chartEl.style.position = 'relative'; + chartEl.appendChild(curYVal); + + const opts: uPlot.Options = { + id: `${metricKey}-curve`, + width: 0, + height: 250, + padding: [10, 10, 0, 10], + scales: { + x: { time: false, distr: 3, auto: true }, + y: { auto: true }, + }, + series: [ + {}, + { + label, + stroke: color, + width: 2, + fill: hexToRgba(color, 0.1), + points: { show: true, size: 5, fill: color }, + }, + ], + axes: [ + { + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + show: true, + values: () => [], + ticks: { show: false }, + font: '10px system-ui, sans-serif', + size: 30, + }, + { + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + values: (_u, vals) => vals.map((v) => `${v}${unit}`), + font: '10px system-ui, sans-serif', + size: 50, + }, + ], + cursor: { + drag: { x: false, y: false }, + dataIdx: (u, seriesIdx, dataIdx) => dataIdx, + }, + hooks: { + draw: [ + (u: uPlot) => { + const ctx = u.ctx; + const dpr = window.devicePixelRatio || 1; + const bb = u.bbox; + const benchmarks = [ + 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, + ]; + const maxDur = xData[xData.length - 1]; + + ctx.save(); + ctx.fillStyle = '#555564'; + ctx.textAlign = 'center'; + ctx.textBaseline = 'top'; + ctx.font = `${10 * dpr}px system-ui, sans-serif`; + + let lastX = -100; + benchmarks.forEach((d) => { + if (d > maxDur) return; + const x = u.valToPos(d, 'x', true); + if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) { + ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr); + lastX = x; + } + }); + ctx.restore(); + }, + ], + init: [ + (u: uPlot) => { + u.over.addEventListener('click', () => { + const idx = u.cursor.idx; + if (idx != null && xData[idx] != null) { + const duration = xData[idx]; + const entry = curve[duration]; + const startIdx = entry.idx; + const pts = track.points; + const endIdx = Math.min(pts.length - 1, startIdx + duration - 1); + + const t0 = pts[0].time || 0; + const tMin = ((pts[startIdx].time || t0) - t0) / 1000; + const tMax = ((pts[endIdx].time || t0) - t0) / 1000; + + UrlState.patch({ sel: [tMin, tMax] }); + MapView.highlightSegment(track.id, pts, startIdx, endIdx, true); + } + }); + }, + ], + setCursor: [ + (u: uPlot) => { + if (!(u as any)._ready) return; + u.redraw(false); + const idx = u.cursor.idx; + const ctx = u.ctx; + const dpr = window.devicePixelRatio || 1; + const bb = u.bbox; + + // Proximity check: only show if mouse is vertically near the data point + const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0; + const mousePy = u.cursor.top!; + const pointPy = u.valToPos(yData[idx!]!, 'y', false); + const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40; + + if (isNear) { + const cx = u.valToPos(xData[idx!]!, 'x', false); + const cy = u.valToPos(yData[idx!]!, 'y', false); + + const durVal = xData[idx!]; + curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`; + curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`; + curYVal.style.display = ''; + + const pcx = u.valToPos(xData[idx!]!, 'x', true); + const pcy = u.valToPos(yData[idx!]!, 'y', true); + + ctx.save(); + ctx.beginPath(); + ctx.setLineDash([2 * dpr, 2 * dpr]); + ctx.strokeStyle = hexToRgba(color, 0.4); + ctx.lineWidth = 1 * dpr; + ctx.moveTo(pcx, bb.top); + ctx.lineTo(pcx, bb.top + bb.height); + ctx.stroke(); + + ctx.beginPath(); + ctx.setLineDash([]); + ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2); + ctx.fillStyle = '#0e0e10'; + ctx.fill(); + ctx.strokeStyle = color; + ctx.lineWidth = 2 * dpr; + ctx.stroke(); + ctx.restore(); + } else { + curYVal.style.display = 'none'; + } + }, + ], + }, + legend: { show: false }, + }; + + opts.width = + chartWidth || + Math.round(grid.getBoundingClientRect().width - 42) || + chartEl.clientWidth || + 500; + const plot = new uPlot(opts, [xData, yData], chartEl); + (plot as any)._ready = true; + insightPlots.push(plot); + } +} + +function showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) { + document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove()); + + const popup = document.createElement('div'); + popup.className = 'hr-settings-popup'; + + const zones = Parsers.getHRZones(); + + popup.innerHTML = ` +
Configure HR Zones (bpm)
+
+
+ Z1 / Z2 + +
+
+ Z2 / Z3 + +
+
+ Z3 / Z4 + +
+
+ Z4 / Z5 + +
+ +
+ `; + + const rect = anchorEl.getBoundingClientRect(); + popup.style.cssText = ` + position: fixed; + z-index: 10000; + background: var(--surface2); + border: 1px solid var(--border); + border-radius: 12px; + padding: 16px; + width: 200px; + box-shadow: 0 8px 32px rgba(0,0,0,0.6); + left: ${rect.right - 200}px; + top: ${rect.bottom + 8}px; + `; + document.body.appendChild(popup); + + popup.querySelector('.save-btn')?.addEventListener('click', async () => { + const inputs = popup.querySelectorAll('.hr-zone-input'); + const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0); + + for (let i = 1; i < newZones.length; i++) { + if (newZones[i] <= newZones[i - 1]) { + toastFn('Zones must be in ascending order', 'error'); + return; + } + } + + Parsers.setHRZones(newZones); + await Storage.set('hr_zones', newZones); + + track.stats = Parsers.computeStats(track.points, true); + await Storage.save(track); + + renderInsights(track); + popup.remove(); + toastFn('HR Zones updated'); + }); + + const dismiss = (e: MouseEvent) => { + if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) { + popup.remove(); + document.removeEventListener('click', dismiss); + } + }; + setTimeout(() => document.addEventListener('click', dismiss), 10); +} + +function showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) { + document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove()); + + const popup = document.createElement('div'); + popup.className = 'pw-settings-popup'; + + const ftp = Parsers.getFTP(); + + popup.innerHTML = ` +
Configure FTP (Watts)
+
+
+ Your FTP + +
+ +
+ `; + + const rect = anchorEl.getBoundingClientRect(); + popup.style.cssText = ` + position: fixed; + z-index: 10000; + background: var(--surface2); + border: 1px solid var(--border); + border-radius: 12px; + padding: 16px; + width: 200px; + box-shadow: 0 8px 32px rgba(0,0,0,0.6); + left: ${rect.right - 200}px; + top: ${rect.bottom + 8}px; + `; + document.body.appendChild(popup); + + popup.querySelector('.save-btn')?.addEventListener('click', async () => { + const input = popup.querySelector('#ftp-input') as HTMLInputElement; + const newFtp = parseInt(input.value) || 200; + + Parsers.setFTP(newFtp); + await Storage.set('ftp', newFtp); + + track.stats = Parsers.computeStats(track.points, true); + await Storage.save(track); + + renderInsights(track); + popup.remove(); + toastFn(`FTP updated to ${newFtp}W`); + }); + + const dismiss = (e: MouseEvent) => { + if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) { + popup.remove(); + document.removeEventListener('click', dismiss); + } + }; + setTimeout(() => document.addEventListener('click', dismiss), 10); +} diff --git a/suites-experimental/tools-gps-tracks/src/tabs/progress.ts b/suites-experimental/tools-gps-tracks/src/tabs/progress.ts new file mode 100644 index 0000000000..03235cafff --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/tabs/progress.ts @@ -0,0 +1,1652 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +import uPlot from 'uplot'; +import { TrackData, Parsers } from '../parsers'; +import { Storage } from '../storage'; +import { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils'; +import { Metrics } from '../metrics'; +import { UrlState } from '../url-state'; +import { computeAccumulatedMetric, renderAccumulatedTable } from './accumulated_progress'; + +let evolutionPlots: uPlot[] = []; + +function destroyEvolutionPlots() { + evolutionPlots.forEach((p) => p.destroy()); + evolutionPlots = []; +} + +export function resetEvolution() { + destroyEvolutionPlots(); + const container = document.getElementById('evolution-view'); + if (container) { + container.innerHTML = ` +
+ no_sim +
Select a track for progress analysis
+
+ `; + } +} + +export function renderEvolution( + currentTrack: TrackData | null, + allTracks: TrackData[], + onTrackSelect?: (id: string, range: [number, number] | null) => void, + onDateRangeSelect?: (start: string, end: string) => void, +) { + destroyEvolutionPlots(); + const container = document.getElementById('evolution-view'); + if (!container) return; + + let currentRange = UrlState.get().progress || 'all'; + + // JIT computation of high-resolution duration curves during Evolution benchmark step + allTracks.forEach((track) => { + Parsers.ensureCurvesAndZones(track); + }); + + // Deterministic EWMA physiological training load calculation (ATL / CTL / TSB modeling) + let totalFatigue = 0; + let totalFitness = 0; + const alphaATL = 2 / (7 + 1); + const alphaCTL = 2 / (42 + 1); + allTracks.forEach((track: any) => { + const pts = track.points || []; + let atl = 0; + let ctl = 0; + for (let i = 0; i < pts.length; i += 4) { + const stress = (pts[i].power || 0) * 1.5 + (pts[i].hr || 0); + atl = alphaATL * stress + (1 - alphaATL) * atl; + ctl = alphaCTL * stress + (1 - alphaCTL) * ctl; + } + totalFatigue += atl; + totalFitness += ctl; + }); + container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1); + const cards: any[] = []; + container.innerHTML = ` +
+
+
+ + + + +
+
+
+
+ + + + + + +
+
+
+
+ `; + + const grid = document.getElementById('evolution-container'); + if (!grid) return; + + const gridWidth = grid.clientWidth || 570; + + const progressSync = uPlot.sync('progress-sync'); + cards.push( + renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth), + ); + cards.push( + renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth), + ); + + const distanceScroll = grid.querySelector( + '.distance-progress-card .chart-scroll-container', + ) as HTMLElement; + const elevationScroll = grid.querySelector( + '.elevation-progress-card .chart-scroll-container', + ) as HTMLElement; + + if (distanceScroll && elevationScroll) { + distanceScroll.addEventListener('scroll', () => { + if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft) + elevationScroll.scrollLeft = distanceScroll.scrollLeft; + }); + elevationScroll.addEventListener('scroll', () => { + if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft) + distanceScroll.scrollLeft = elevationScroll.scrollLeft; + }); + } + + const toolbarRangeCtrl = container.querySelector('#evolution-time-range'); + if (toolbarRangeCtrl) { + toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => { + btn.addEventListener('click', () => { + const range = btn.getAttribute('data-range'); + if (range) { + toolbarRangeCtrl + .querySelectorAll('.seg-btn') + .forEach((b) => b.classList.remove('active')); + btn.classList.add('active'); + onRangeChange(range); + } + }); + }); + } + + const pills = container.querySelectorAll('.metric-pill'); + pills.forEach((pill) => { + pill.addEventListener('click', () => { + const target = pill.getAttribute('data-target'); + if (target) { + const targetEl = document.getElementById(`${target}-evolution-card`); + targetEl?.scrollIntoView({ behavior: 'smooth' }); + } + }); + }); + + function onPinChange(dur: number | null) { + cards.forEach((c) => { + if (c && c.updatePin) c.updatePin(dur); + }); + } + + function onRangeChange(range: string) { + UrlState.patch({ progress: range === 'all' ? null : range }); + cards.forEach((c) => { + if (c && c.updateRange) c.updateRange(range); + }); + } + + if (allTracks.some((t) => t.stats.powerCurve)) { + const card = renderCurveEvolutionCard({ + grid, + currentTrack, + allTracks, + metricKey: 'power', + label: 'Power Curve Progress', + unit: 'W', + color: Metrics.power.color, + icon: 'bolt', + onPinChange, + onRangeChange, + onTrackSelect, + gridWidth, + }); + cards.push(card); + } + + if (allTracks.some((t) => t.stats.hrCurve)) { + const card = renderCurveEvolutionCard({ + grid, + currentTrack, + allTracks, + metricKey: 'hr', + label: 'Heart Rate Curve Progress', + unit: 'bpm', + color: Metrics.hr.color, + icon: 'favorite', + onPinChange, + onRangeChange, + onTrackSelect, + gridWidth, + }); + cards.push(card); + } + + // Apply initial range when filtered + if (currentRange !== 'all') { + cards.forEach((c) => { + if (c && c.updateRange) c.updateRange(currentRange); + }); + } + + evolutionPlots.forEach((p) => { + (p as any)._ready = true; + }); +} + +interface CurveEvolutionCardOptions { + grid: HTMLElement; + currentTrack: TrackData | null; + allTracks: TrackData[]; + metricKey: 'power' | 'hr'; + label: string; + unit: string; + color: string; + icon: string; + onPinChange: (dur: number | null) => void; + onRangeChange: (range: string) => void; + onTrackSelect?: (id: string, range: [number, number] | null) => void; + gridWidth?: number; +} + +function renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) { + const { + grid, + currentTrack, + allTracks, + metricKey, + label, + unit, + color, + icon, + onPinChange, + onRangeChange, + onTrackSelect, + gridWidth, + } = opts; + + const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track'; + + let mainChart: uPlot | null = null; + + const cardContainer = document.createElement('div'); + cardContainer.className = 'chart-row evolution-card-group'; + cardContainer.id = `${metricKey}-evolution-card`; + grid.appendChild(cardContainer); + + const row1 = document.createElement('div'); + row1.className = 'chart-row progress-chart-row'; + row1.style.setProperty('--chart-color', color); + row1.style.flex = '0 0 400px'; + row1.style.borderBottom = 'none'; + row1.innerHTML = ` +
+
+ ${icon} + ${label} +
+
+
+
+
+ `; + + const legendEl = document.createElement('div'); + legendEl.className = 'evolution-legend'; + legendEl.innerHTML = ` +
+ + ${trackName} +
+
+ + All-Time Max +
+ `; + + const urlState = UrlState.get(); + let currentRange = urlState.progress || 'all'; + + const row2 = document.createElement('div'); + row2.className = 'chart-row progress-chart-row'; + row2.style.setProperty('--chart-color', color); + row2.style.flex = '1'; + row2.style.borderBottom = 'none'; + row2.innerHTML = ` +
+
+ ${icon} + Progress ${metricKey === 'power' ? 'Power' : 'HR'} +
+
+
+
+
+ `; + + const sideBySide = document.createElement('div'); + sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;'; + sideBySide.appendChild(row1); + sideBySide.appendChild(row2); + + cardContainer.appendChild(sideBySide); + cardContainer.appendChild(legendEl); + + const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement; + if (!chartEl) return; + + // 1. Compute global max curve + const maxCurve: Record< + number, + { val: number; trackInfo: string; trackId?: string; idx?: number } + > = {}; + allTracks.forEach((t) => { + const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve; + if (!curve) return; + const name = t.name || 'Unnamed Track'; + const date = + t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date'; + const trackInfo = `${name} (${date})`; + + Object.entries(curve).forEach(([dur, data]) => { + const d = Number(dur); + const val = (data as any).power || (data as any).hr; + if (!maxCurve[d] || val > maxCurve[d].val) + maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx }; + }); + }); + + // 2. Get current track curve + const currentCurve = + (currentTrack && + (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) || + {}; + + // 3. Combine durations + const allDurations = new Set(); + Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d))); + Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d))); + const durations = Array.from(allDurations).sort((a, b) => a - b); + + const xData = durations; + const yDataCurrent = durations.map((d) => { + const entry = currentCurve[d]; + return entry ? (entry as any).power || (entry as any).hr : null; + }); + const yDataMax = durations.map((d) => maxCurve[d]?.val || null); + + // Precompute timeline data for all tracks + const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null); + validTracks.sort( + (a, b) => + (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) || + a.id.localeCompare(b.id), + ); + + const xTimeline: number[] = []; + const yTimelineData: Record = {}; + durations.forEach((d) => (yTimelineData[d] = [])); + + validTracks.forEach((t) => { + const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve; + if (!curve) return; + + xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds + durations.forEach((d) => { + const entry = curve[d]; + const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null; + yTimelineData[d].push(val); + }); + }); + + let currentDur = durations[0] || 5; + let tracksFiltered = validTracks; + let pinnedDur: number | null = null; + + function getFilteredData(dur: number, range: string) { + const maxTime = xTimeline[xTimeline.length - 1] || 1785542400; + let minTime = 0; + + if (range === '1m') minTime = maxTime - 30 * 24 * 3600; + else if (range === '2m') minTime = maxTime - 60 * 24 * 3600; + else if (range === '6m') minTime = maxTime - 180 * 24 * 3600; + else if (range === '1y') minTime = maxTime - 365 * 24 * 3600; + else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600; + + const filteredIndices: number[] = []; + xTimeline.forEach((t, idx) => { + if (t >= minTime) filteredIndices.push(idx); + }); + + const xFiltered = filteredIndices.map((i) => xTimeline[i]); + const rawY = yTimelineData[dur] || []; + const rawYFiltered = filteredIndices.map((i) => rawY[i]); + const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5); + tracksFiltered = filteredIndices.map((i) => validTracks[i]); + + return { xFiltered, rawYFiltered, smoothedYFiltered }; + } + + let timelineChart: uPlot | null = null; + + const curYVal = document.createElement('div'); + curYVal.className = 'cur-y-val font-m'; + curYVal.style.cssText = + 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;'; + chartEl.style.position = 'relative'; + chartEl.appendChild(curYVal); + + const renderCharts = () => { + const optsUPlot: uPlot.Options = { + id: `${metricKey}-evolution`, + width: 400, + height: 250, + padding: [0, 10, 0, 10], + scales: { + x: { time: false, distr: 3, auto: true }, + y: { auto: true }, + }, + series: [ + {}, + { + label: 'Current Track', + stroke: color, + width: 2, + fill: hexToRgba(color, 0.1), + points: { show: true, size: 5, fill: color }, + }, + { + label: 'All-Time Max', + stroke: '#888888', + width: 1, + fill: 'transparent', + points: { show: true, size: 6, fill: '#888888' }, + }, + ], + axes: [ + { + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + show: true, + values: () => [], + ticks: { show: false }, + font: '10px system-ui, sans-serif', + size: 30, + }, + { + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + values: (_u, vals) => vals.map((v) => `${v}${unit}`), + font: '10px system-ui, sans-serif', + size: 50, + }, + ], + cursor: { + drag: { x: false, y: false }, + dataIdx: (u, seriesIdx, dataIdx) => dataIdx, + x: false, + y: false, + }, + hooks: { + draw: [ + (u: uPlot) => { + const ctx = u.ctx; + const dpr = window.devicePixelRatio || 1; + const bb = u.bbox; + const benchmarks = [ + 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, + ]; + const maxDur = xData[xData.length - 1]; + + ctx.save(); + ctx.fillStyle = '#555564'; + ctx.textAlign = 'center'; + ctx.textBaseline = 'top'; + ctx.font = `${10 * dpr}px system-ui, sans-serif`; + + let lastX = -100; + benchmarks.forEach((d) => { + if (d > maxDur) return; + const x = u.valToPos(d, 'x', true); + if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) { + ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr); + lastX = x; + } + }); + + // Draw pinned duration circle + if (pinnedDur !== null) { + const idx = xData.indexOf(pinnedDur); + if (idx >= 0) { + const pcx = u.valToPos(pinnedDur, 'x', true); + const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true); + + ctx.save(); + ctx.beginPath(); + ctx.setLineDash([]); + const curVal = yDataCurrent[idx]; + const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr; + const dotColor = curVal !== null ? color : '#888888'; + ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI); + ctx.fillStyle = dotColor; + ctx.fill(); + ctx.strokeStyle = '#fff'; + ctx.lineWidth = 2 * dpr; + ctx.stroke(); + ctx.restore(); + } + } + + ctx.restore(); + }, + (u: uPlot) => { + const ctx = u.ctx; + const dpr = window.devicePixelRatio || 1; + const bb = u.bbox; + + let idx = u.cursor.idx; + let activeSeriesIdx = 1; + const cursorLeft = u.cursor.left; + const cursorTop = u.cursor.top; + + if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) { + let minD2 = Infinity; + let nearestIdx = -1; + const radius = 30; // pixels + const maxD2 = radius * radius; + + for (let i = 0; i < xData.length; i++) { + const x = xData[i]; + const yCur = yDataCurrent[i]; + const yMax = yDataMax[i]; + + if (x != null) { + const px = u.valToPos(x, 'x', false); + + if (yCur != null) { + const py = u.valToPos(yCur, 'y', false); + const dx = px - cursorLeft; + const dy = py - cursorTop; + const d2 = dx * dx + dy * dy; + if (d2 < minD2) { + minD2 = d2; + nearestIdx = i; + activeSeriesIdx = 1; + } + } + if (yMax != null) { + const py = u.valToPos(yMax, 'y', false); + const dx = px - cursorLeft; + const dy = py - cursorTop; + const d2 = dx * dx + dy * dy; + if (d2 < minD2) { + minD2 = d2; + nearestIdx = i; + activeSeriesIdx = 2; + } + } + } + } + + if (minD2 <= maxD2) idx = nearestIdx; + else idx = null; + } + + if (idx != null && u.data[0][idx] != null) { + const pcx = u.valToPos(u.data[0][idx]!, 'x', true); + const pcy = u.valToPos( + activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!, + 'y', + true, + ); + + // Draw lines + ctx.save(); + ctx.beginPath(); + ctx.setLineDash([2 * dpr, 2 * dpr]); + ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4); + ctx.lineWidth = 1 * dpr; + // Vertical line + ctx.moveTo(pcx, bb.top); + ctx.lineTo(pcx, bb.top + bb.height); + // Horizontal line + ctx.moveTo(bb.left, pcy); + ctx.lineTo(bb.left + bb.width, pcy); + ctx.stroke(); + ctx.restore(); + + // Draw hover halo + ctx.save(); + ctx.beginPath(); + ctx.setLineDash([]); // Reset to solid + ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI); + ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2); + ctx.fill(); + ctx.restore(); + + // Draw center circle + ctx.save(); + ctx.beginPath(); + const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr; + const dotColor = activeSeriesIdx === 1 ? color : '#888888'; + ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI); + ctx.fillStyle = dotColor; + ctx.fill(); + ctx.strokeStyle = '#fff'; + ctx.lineWidth = 2 * dpr; + ctx.stroke(); + ctx.restore(); + + // Draw axis labels + ctx.save(); + ctx.setLineDash([]); // Reset to solid + + const xValStr = fmtDuration(xData[idx!]); + ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`; + const xValWidth = ctx.measureText(xValStr).width; + const xbw = xValWidth + 10 * dpr; + const pillH = 16 * dpr; + + const xLabelX = pcx - xbw / 2; + const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX)); + const xLabelY = bb.top + bb.height + 2 * dpr; + + // X Label Pill + ctx.fillStyle = 'rgba(14, 14, 16, 0.92)'; + ctx.beginPath(); + if ((ctx as any).roundRect) + (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr); + else ctx.rect(clampedXBx, xLabelY, xbw, pillH); + ctx.fill(); + ctx.strokeStyle = hexToRgba(color, 0.27); + ctx.lineWidth = 1 * dpr; + ctx.stroke(); + + ctx.fillStyle = color; + ctx.textAlign = 'center'; + ctx.textBaseline = 'middle'; + ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2); + + const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!; + const yValStr = `${yVal.toFixed(0)} ${unit}`; + const yValWidth = ctx.measureText(yValStr).width; + const ybw = yValWidth + 10 * dpr; + + const yLabelX = bb.left - ybw - 2 * dpr; // To the left + const yLabelY = pcy - pillH / 2; + + // Y Label Pill + ctx.fillStyle = 'rgba(14, 14, 16, 0.92)'; + ctx.beginPath(); + if ((ctx as any).roundRect) + (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr); + else ctx.rect(yLabelX, yLabelY, ybw, pillH); + ctx.fill(); + ctx.strokeStyle = hexToRgba(color, 0.27); + ctx.lineWidth = 1 * dpr; + ctx.stroke(); + + ctx.fillStyle = color; + ctx.textAlign = 'left'; + ctx.textBaseline = 'middle'; + ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2); + + ctx.restore(); + } + }, + ], + setCursor: [ + (u: uPlot) => { + if (!(u as any)._ready) return; + u.redraw(false); + + let idx = u.cursor.idx; + let activeSeriesIdx = 1; + const cursorLeft = u.cursor.left; + const cursorTop = u.cursor.top; + + if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) { + let minD2 = Infinity; + let nearestIdx = -1; + const radius = 30; // pixels + const maxD2 = radius * radius; + + for (let i = 0; i < xData.length; i++) { + const x = xData[i]; + const yCur = yDataCurrent[i]; + const yMax = yDataMax[i]; + + if (x != null) { + const px = u.valToPos(x, 'x', false); + + if (yCur != null) { + const py = u.valToPos(yCur, 'y', false); + const dx = px - cursorLeft; + const dy = py - cursorTop; + const d2 = dx * dx + dy * dy; + if (d2 < minD2) { + minD2 = d2; + nearestIdx = i; + activeSeriesIdx = 1; + } + } + if (yMax != null) { + const py = u.valToPos(yMax, 'y', false); + const dx = px - cursorLeft; + const dy = py - cursorTop; + const d2 = dx * dx + dy * dy; + if (d2 < minD2) { + minD2 = d2; + nearestIdx = i; + activeSeriesIdx = 2; + } + } + } + } + + if (minD2 <= maxD2) idx = nearestIdx; + else idx = null; + } + + const ctx = u.ctx; + const dpr = window.devicePixelRatio || 1; + const bb = u.bbox; + + const hasFocus = idx != null && xData[idx] != null; + + if (hasFocus) { + const cx = u.valToPos(xData[idx!]!, 'x', false); + const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null + + const durVal = xData[idx!]; + const curVal = yDataCurrent[idx!]; + const mxVal = yDataMax[idx!]; + + let html = `
${fmtDuration(durVal)}
`; + if (curVal !== null) { + html += ` +
+ Current: + ${curVal} ${unit} +
+ `; + } + if (mxVal !== null) { + html += ` +
+ Max: + ${mxVal} ${unit} +
+ `; + } + + curYVal.innerHTML = html; + + if (timelineChart) { + if (pinnedDur === null) { + currentDur = durVal; + const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData( + currentDur, + currentRange, + ); + const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null)); + const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null)); + timelineChart.setData([ + xFiltered, + rawYFiltered, + smoothedYFiltered, + lowerBound, + upperBound, + ]); + + const labelEl = document.getElementById(`${metricKey}-timeline-label`); + if (labelEl) + labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`; + } + } + curYVal.style.display = ''; + curYVal.style.left = `${cursorLeft! + bb.left}px`; + curYVal.style.top = `${cursorTop! + bb.top}px`; + curYVal.style.transform = 'translate(5px, -50%)'; + } else { + curYVal.style.display = 'none'; + } + }, + ], + }, + }; + + mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl); + evolutionPlots.push(mainChart); + + chartEl.addEventListener('click', () => { + if (!mainChart) return; + const idx = mainChart.cursor.idx; + if (idx != null) { + const clickedDur = xData[idx]; + let newPinnedDur: number | null = null; + if (pinnedDur !== null) newPinnedDur = null; + else newPinnedDur = clickedDur; + + onPinChange(newPinnedDur); + + // Also select the range for the current track if available + if (currentTrack) { + const stats = currentTrack.stats; + const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve; + if (curve) { + const entry = curve[clickedDur]; + if (entry) { + const bestIdx = entry.idx; + const duration = clickedDur; + const startPt = currentTrack.points[bestIdx]; + const endPt = currentTrack.points[bestIdx + duration - 1]; + if (startPt && endPt && startPt.time != null && endPt.time != null) { + const trackStart = currentTrack.points[0].time || 0; + const min = (startPt.time - trackStart) / 1000; + const max = (endPt.time - trackStart) / 1000; + onTrackSelect?.(currentTrack.id, [min, max]); + } + } + } + } + } + }); + + chartEl.addEventListener('mouseleave', () => { + if (mainChart) mainChart.redraw(); + }); + + // 4. Add expandable table + const detailsEl = document.createElement('details'); + detailsEl.classList.add('progress-details'); + detailsEl.style.marginTop = '0px'; + detailsEl.style.setProperty('--chart-color', color); + detailsEl.innerHTML = ` + + chevron_right + table_chart + Data Table + + + + + + + + + + + ${durations + .map((d) => { + const cur = currentCurve[d] + ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr + : '-'; + const mx = maxCurve[d]?.val || '-'; + const mxId = maxCurve[d]?.trackId; + const mxIdx = maxCurve[d]?.idx; + return ` + + + + + + `; + }) + .join('')} + +
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit} + ${mx} ${unit} + ${mxId ? `` : ''} +
+ `; + cardContainer.appendChild(detailsEl); + + detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => { + btn.addEventListener('click', (e) => { + e.preventDefault(); + e.stopPropagation(); + const id = btn.getAttribute('data-id'); + const idx = btn.getAttribute('data-idx'); + const dur = btn.getAttribute('data-dur'); + if (id) { + document.dispatchEvent( + new CustomEvent('select-track', { + detail: { + id, + idx: idx ? Number(idx) : null, + dur: dur ? Number(dur) : null, + }, + }), + ); + } + }); + }); + + let lastNearestIdx: number | null = null; + + // 5. Render timeline chart + const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement; + if (timelineEl) { + timelineEl.style.position = 'relative'; + const timelineTooltip = document.createElement('div'); + timelineTooltip.className = 'timeline-tooltip font-m'; + timelineTooltip.style.cssText = + 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;'; + timelineEl.appendChild(timelineTooltip); + + if (xTimeline.length > 0) { + const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData( + currentDur, + currentRange, + ); + const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null)); + const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null)); + const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]; + + const series: any[] = [ + { + value: (u: any, v: number) => { + if (v != null) return fmtDate(v * 1000); + + return '-'; + }, + }, + { + label: 'Value', + stroke: color, + width: 0, + points: { show: true, size: 6, fill: hexToRgba(color, 0.5) }, + }, + { + label: 'Trend', + stroke: color, + width: 2, + points: { show: false }, + spanGaps: true, + fill: 'transparent', + dash: [5, 5], + }, + { + label: 'Lower Bound', + stroke: 'transparent', + width: 0, + points: { show: false }, + spanGaps: true, + }, + { + label: 'Upper Bound', + stroke: 'transparent', + width: 0, + points: { show: false }, + spanGaps: true, + }, + ]; + + const labelEl = document.getElementById(`${metricKey}-timeline-label`); + if (labelEl) + labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`; + + const optsTimeline: uPlot.Options = { + width: Math.max(100, (gridWidth || 570) - 400), + height: 250, + padding: [0, 10, 0, 10], + tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'), + cursor: { + points: { + show: false, + }, + drag: { setScale: false }, + x: false, + y: false, + }, + scales: { + x: { + time: true, + range: (u) => { + const min = u.data[0][0]; + const max = u.data[0][u.data[0].length - 1]; + if (min === undefined || max === undefined) return [0, 100]; + + if (min === max) return [min - 3600, max + 3600]; + + return [min, max]; + }, + }, + y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] }, + }, + series: series, + bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }], + hooks: { + init: [ + (u: uPlot) => { + u.over.addEventListener('click', () => { + if (lastNearestIdx != null) { + const track = tracksFiltered[lastNearestIdx]; + if (track) { + const stats = track.stats; + const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve; + if (curve) { + const entry = curve[currentDur]; + if (entry) { + const bestIdx = entry.idx; + const duration = currentDur; + + const startPt = track.points[bestIdx]; + const endPt = track.points[bestIdx + duration - 1]; + + if (startPt && endPt && startPt.time != null && endPt.time != null) { + const trackStart = track.points[0].time || 0; + const min = (startPt.time - trackStart) / 1000; + const max = (endPt.time - trackStart) / 1000; + + opts.onTrackSelect?.(track.id, [min, max]); + } else { + opts.onTrackSelect?.(track.id, null); + } + } else { + opts.onTrackSelect?.(track.id, null); + } + } else { + opts.onTrackSelect?.(track.id, null); + } + } + } + }); + }, + ], + draw: [ + (u: uPlot) => { + let idx = u.cursor.idx; + if (idx != null && u.data[0][idx] != null) { + const val = u.data[1][idx]; + if (val != null) { + const tpcx = u.valToPos(u.data[0][idx]!, 'x', true); + const tpcy = u.valToPos(val, 'y', true); + + const tctx = u.ctx; + const tdpr = window.devicePixelRatio || 1; + + // Draw lines + tctx.save(); + tctx.beginPath(); + tctx.setLineDash([2 * tdpr, 2 * tdpr]); + tctx.strokeStyle = hexToRgba(color, 0.4); + tctx.lineWidth = 1 * tdpr; + // Vertical line + tctx.moveTo(tpcx, u.bbox.top); + tctx.lineTo(tpcx, u.bbox.top + u.bbox.height); + // Horizontal line + tctx.moveTo(u.bbox.left, tpcy); + tctx.lineTo(u.bbox.left + u.bbox.width, tpcy); + tctx.stroke(); + tctx.restore(); + + // Draw hover halo + tctx.save(); + tctx.beginPath(); + tctx.setLineDash([]); // Reset to solid + tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI); + tctx.fillStyle = hexToRgba(color, 0.2); + tctx.fill(); + tctx.restore(); + + // Draw center circle + tctx.save(); + tctx.beginPath(); + tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI); + tctx.fillStyle = color; + tctx.fill(); + tctx.strokeStyle = '#fff'; + tctx.lineWidth = 2 * tdpr; + tctx.stroke(); + tctx.restore(); + + // Draw axis labels + tctx.save(); + tctx.setLineDash([]); // Reset to solid + + const d = new Date(u.data[0][idx]! * 1000); + const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`; + tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`; + const dateWidth = tctx.measureText(dateStr).width; + const xbw = dateWidth + 10 * tdpr; + const pillH = 16 * tdpr; + + const xLabelX = tpcx - xbw / 2; + const clampedXBx = Math.max( + u.bbox.left, + Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX), + ); + const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr; + + // X Label Pill + tctx.fillStyle = 'rgba(14, 14, 16, 0.92)'; + tctx.beginPath(); + if ((tctx as any).roundRect) + (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr); + else tctx.rect(clampedXBx, xLabelY, xbw, pillH); + tctx.fill(); + tctx.strokeStyle = hexToRgba(color, 0.27); + tctx.lineWidth = 1 * tdpr; + tctx.stroke(); + + tctx.fillStyle = color; + tctx.textAlign = 'center'; + tctx.textBaseline = 'middle'; + tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2); + + const valStr = `${val.toFixed(0)} ${unit}`; + const valWidth = tctx.measureText(valStr).width; + const ybw = valWidth + 10 * tdpr; + + const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left + const yLabelY = tpcy - pillH / 2; + + // Y Label Pill + tctx.fillStyle = 'rgba(14, 14, 16, 0.92)'; + tctx.beginPath(); + if ((tctx as any).roundRect) + (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr); + else tctx.rect(yLabelX, yLabelY, ybw, pillH); + tctx.fill(); + tctx.strokeStyle = hexToRgba(color, 0.27); + tctx.lineWidth = 1 * tdpr; + tctx.stroke(); + + tctx.fillStyle = color; + tctx.textAlign = 'left'; + tctx.textBaseline = 'middle'; + tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2); + + tctx.restore(); + } + } + }, + ], + setCursor: [ + (u: uPlot) => { + if (!(u as any)._ready) return; + u.redraw(false); + + let idx = u.cursor.idx; + const cursorLeft = u.cursor.left; + const cursorTop = u.cursor.top; + const bb = u.bbox; + + if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) { + let minD2 = Infinity; + let nearestIdx = -1; + const radius = 30; // pixels + const maxD2 = radius * radius; + + const xData = u.data[0]; + const yData = u.data[1]; + + for (let i = 0; i < xData.length; i++) { + const x = xData[i]; + const y = yData[i]; + if (x == null || y == null) continue; + + const px = u.valToPos(x, 'x', false); + const py = u.valToPos(y, 'y', false); + + const dx = px - cursorLeft; + const dy = py - cursorTop; + const d2 = dx * dx + dy * dy; + + if (d2 < minD2) { + minD2 = d2; + nearestIdx = i; + } + } + + if (minD2 <= maxD2) { + idx = nearestIdx; + lastNearestIdx = nearestIdx; + } else { + idx = null; + lastNearestIdx = null; + } + } + + if (idx != null && u.data[0][idx] != null) { + const track = tracksFiltered[idx]; + const cx = u.valToPos(u.data[0][idx], 'x', false); + const cy = u.valToPos(u.data[1][idx]!, 'y', false); + + const d = new Date(u.data[0][idx]! * 1000); + const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`; + + const val = u.data[1][idx]; + const valStr = val != null ? `${val} ${unit}` : '—'; + + timelineTooltip.innerHTML = ` +
+ Date: + ${dateStr} +
+
+ Value: + ${valStr} +
+ `; + timelineTooltip.style.display = 'block'; + timelineTooltip.style.left = `${cursorLeft! + bb.left}px`; + timelineTooltip.style.top = `${cursorTop! + bb.top}px`; + timelineTooltip.style.transform = 'translate(5px, -50%)'; + } else { + timelineTooltip.style.display = 'none'; + } + }, + ], + }, + axes: [ + { + space: 50, + stroke: '#555564', + grid: { stroke: '#2e2e34' }, + show: true, + font: '10px system-ui, sans-serif', + size: 30, + values: (u: any, vals: any[]) => + vals.map((v) => { + const d = new Date(v * 1000); + return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`; + }), + }, + { + stroke: '#555564', + grid: { stroke: '#2e2e34' }, + font: '10px system-ui, sans-serif', + values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`), + show: true, + space: 15, + size: 50, + }, + ], + }; + + timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl); + evolutionPlots.push(timelineChart); + + timelineEl.addEventListener('mouseleave', () => { + timelineChart!.redraw(); + }); + + // Range control moved to toolbar + } else { + timelineEl.innerHTML = '
No data for the past year
'; + } + } + }; + renderCharts(); + + return { + updatePin: (dur: number | null) => { + pinnedDur = dur; + if (dur !== null) currentDur = dur; + + const labelEl = document.getElementById(`${metricKey}-timeline-label`); + if (labelEl) + labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`; + + if (timelineChart) { + const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData( + currentDur, + currentRange, + ); + const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null)); + const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null)); + timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]); + } + if (mainChart) mainChart.redraw(); + }, + updateRange: (range: string) => { + currentRange = range; + if (timelineChart) { + const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData( + currentDur, + currentRange, + ); + const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null)); + const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null)); + timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]); + } + }, + }; +} + +function getWeekStart(date: Date): Date { + const d = new Date(date); + const day = d.getUTCDay(); + const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday + d.setUTCDate(diff); + d.setUTCHours(0, 0, 0, 0); + return d; +} + +function computeWeeklyDistance( + allTracks: TrackData[], +): { week: string; timestamp: number; distance: number }[] { + const weeklyData: Record = {}; + + allTracks.forEach((t) => { + if (!t.stats.startTime || !t.stats.totalDist) return; + + const date = new Date(t.stats.startTime); + const weekStart = getWeekStart(date); + const weekKey = weekStart.toISOString().split('T')[0]; + + if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 }; + + weeklyData[weekKey].distance += t.stats.totalDist; + }); + + return Object.entries(weeklyData) + .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance })) + .sort((a, b) => a.timestamp - b.timestamp); +} + +function computeWeeklyElevation( + allTracks: TrackData[], +): { week: string; timestamp: number; elevation: number }[] { + const weeklyData: Record = {}; + + allTracks.forEach((t) => { + if (!t.stats.startTime || t.stats.elevGain === undefined) return; + + const date = new Date(t.stats.startTime); + const weekStart = getWeekStart(date); + const weekKey = weekStart.toISOString().split('T')[0]; + + if (!weeklyData[weekKey]) + weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 }; + + weeklyData[weekKey].elevation += t.stats.elevGain; + }); + + return Object.entries(weeklyData) + .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation })) + .sort((a, b) => a.timestamp - b.timestamp); +} + +function renderProgressCard( + grid: HTMLElement, + allTracks: TrackData[], + type: 'distance' | 'elevation', + syncKey?: any, + onDateRangeSelect?: (start: string, end: string) => void, + gridWidth?: number, +) { + const isDistance = type === 'distance'; + const weeklyData = isDistance + ? computeWeeklyDistance(allTracks) + : computeWeeklyElevation(allTracks); + const accumulated = computeAccumulatedMetric(allTracks, (t) => + isDistance ? t.stats.totalDist : t.stats.elevGain, + ); + const color = isDistance ? Metrics.distance.color : Metrics.elevation.color; + const unit = isDistance ? 'km' : 'm'; + const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon; + + const cardContainer = document.createElement('div'); + cardContainer.className = `chart-row ${type}-progress-card`; + cardContainer.id = `${type}-evolution-card`; + + cardContainer.innerHTML = ` +
+
+ ${icon} + ${isDistance ? 'Distance Progress' : 'Elevation Progress'} +
+
+
+
+
+
+
+
+ ${renderAccumulatedTable(accumulated, isDistance, unit)} +
+
+ `; + + grid.appendChild(cardContainer); + + const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement; + const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement; + + if (!chartEl || !yAxisEl) return; + + chartEl.style.position = 'relative'; + + // Use inline tooltip style + const tooltip = document.createElement('div'); + tooltip.className = 'cur-y-val'; + tooltip.style.cssText = `color:${color};display:none`; + chartEl.appendChild(tooltip); + + const xData = weeklyData.map((d) => d.timestamp / 1000); + const yData = isDistance + ? (weeklyData as any[]).map((d) => d.distance / 1000) + : (weeklyData as any[]).map((d) => d.elevation); + + if (xData.length === 0) return; + + const yDataSmoothed = gaussianSmooth(yData, 2); + + const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20); + const width = Math.max(chartClientW, xData.length * 40); + const maxVal = Math.max(...yData) * 1.1; + + const mainOpts: uPlot.Options = { + width: width, + height: 150, + padding: [10, 10, 0, 10], + tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'), + scales: { + x: { time: true }, + y: { range: [0, maxVal] }, + }, + series: [ + {}, + { + label: isDistance ? 'Distance' : 'Elevation', + stroke: color, + fill: hexToRgba(color, 0.1), + width: 2, + points: { show: true, size: 4 }, + }, + { + label: 'Trend', + stroke: color, + width: 2, + dash: [5, 5], + points: { show: false }, + }, + ], + cursor: { + sync: syncKey ? { key: syncKey.key } : undefined, + drag: { x: false, y: false }, + points: { show: false }, + x: false, + y: false, + }, + hooks: { + init: [ + (u: uPlot) => { + u.over.addEventListener('click', () => { + const idx = u.cursor.idx; + if (idx != null) { + const item = weeklyData[idx]; + if (item) { + const start = new Date(item.timestamp); + const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week + const startStr = start.toISOString().split('T')[0]; + const endStr = end.toISOString().split('T')[0]; + onDateRangeSelect?.(startStr, endStr); + } + } + }); + }, + ], + setCursor: [ + (u: uPlot) => { + if (!(u as any)._ready) return; + const idx = u.cursor.idx; + const cursorLeft = u.cursor.left; + const cursorTop = u.cursor.top; + + if ( + idx != null && + cursorLeft != null && + cursorTop != null && + cursorLeft >= 0 && + cursorTop >= 0 + ) { + const val = u.data[1][idx]; + const valStr = + val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '—'; + + tooltip.innerHTML = valStr; + tooltip.style.display = 'block'; + tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`; + tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`; + tooltip.style.transform = 'translate(6px, -50%)'; + } else { + tooltip.style.display = 'none'; + } + + u.redraw(false); + }, + ], + draw: [ + (u: uPlot) => { + const idx = u.cursor.idx; + if (idx != null && u.data[0][idx] != null) { + const pcx = u.valToPos(u.data[0][idx]!, 'x', true); + const pcy = u.valToPos(u.data[1][idx]!, 'y', true); + const dpr = window.devicePixelRatio || 1; + const ctx = u.ctx; + const bb = u.bbox; + + // Draw lines + ctx.save(); + ctx.beginPath(); + ctx.setLineDash([2 * dpr, 2 * dpr]); + ctx.strokeStyle = hexToRgba(color, 0.4); + ctx.lineWidth = 1 * dpr; + // Vertical line + ctx.moveTo(pcx, bb.top); + ctx.lineTo(pcx, bb.top + bb.height); + // Horizontal line + ctx.moveTo(bb.left, pcy); + ctx.lineTo(bb.left + bb.width, pcy); + ctx.stroke(); + ctx.restore(); + + // Draw hover halo + ctx.save(); + ctx.beginPath(); + ctx.setLineDash([]); // Reset to solid + ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI); + ctx.fillStyle = hexToRgba(color, 0.2); + ctx.fill(); + ctx.restore(); + + // Draw center circle + ctx.save(); + ctx.beginPath(); + ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI); + ctx.fillStyle = color; + ctx.fill(); + ctx.strokeStyle = '#fff'; + ctx.lineWidth = 2 * dpr; + ctx.stroke(); + ctx.restore(); + + // Draw axis labels + ctx.save(); + ctx.setLineDash([]); // Reset to solid + + // X Label Pill + const d = new Date(u.data[0][idx]! * 1000); + const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`; + ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`; + const xValWidth = ctx.measureText(xValStr).width; + const xbw = xValWidth + 10 * dpr; + const pillH = 16 * dpr; + + const xLabelX = pcx - xbw / 2; + const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX)); + const xLabelY = bb.top + bb.height + 2 * dpr; + + ctx.fillStyle = 'rgba(14, 14, 16, 0.92)'; + ctx.beginPath(); + if ((ctx as any).roundRect) + (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr); + else ctx.rect(clampedXBx, xLabelY, xbw, pillH); + ctx.fill(); + ctx.strokeStyle = hexToRgba(color, 0.27); + ctx.lineWidth = 1 * dpr; + ctx.stroke(); + + ctx.fillStyle = color; + ctx.textAlign = 'center'; + ctx.textBaseline = 'middle'; + ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2); + + ctx.restore(); + } + }, + ], + }, + axes: [ + { + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + show: true, + space: 40, + values: (self, splits) => + splits.map((s) => { + const d = new Date(s * 1000); + return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`; + }), + font: '10px system-ui, sans-serif', + size: 30, + }, + { + stroke: '#555564', + grid: { stroke: '#2e2e34', width: 1 }, + show: true, + values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`), + font: '10px system-ui, sans-serif', + size: 40, + }, + ], + }; + + const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl); + evolutionPlots.push(mainChart); + + const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement; + if (scrollContainer && xData.length * 40 > width) + scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth; + + return { + updateRange: (range: string) => { + const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000; + let minTime = 0; + + if (range === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000; + else if (range === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000; + else if (range === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000; + else if (range === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000; + else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000; + + const filteredData = weeklyData.filter((d) => d.timestamp >= minTime); + + const newXData = filteredData.map((d) => d.timestamp / 1000); + const newYData = isDistance + ? (filteredData as any[]).map((d) => d.distance / 1000) + : (filteredData as any[]).map((d) => d.elevation); + const newYDataSmoothed = gaussianSmooth(newYData, 2); + + const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40); + const newMaxVal = Math.max(...newYData) * 1.1; + + mainChart.setSize({ width: newWidth, height: 150 }); + mainChart.setScale('y', { min: 0, max: newMaxVal }); + mainChart.setData([newXData, newYData, newYDataSmoothed]); + + if (scrollContainer) + scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth; + }, + }; +} diff --git a/suites-experimental/tools-gps-tracks/src/url-state.ts b/suites-experimental/tools-gps-tracks/src/url-state.ts new file mode 100644 index 0000000000..3124066660 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/url-state.ts @@ -0,0 +1,202 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +// ── URL State ───────────────────────────────────────────────────── +// Handles reading/writing application state to the URL. +// Uses an incremental "patch" approach to preserve existing params. + +export interface AppState { + track?: string; + map?: string; + xaxis?: string; + metrics?: string[]; + f_date?: (string | null)[]; + f_dist?: (number | null)[]; + f_dur?: (number | null)[]; + f_mets?: string[]; + f_tags?: string[]; + q?: string; + re?: boolean; + sort?: string; + map_pos?: [number, number, number]; + storage?: 'memory' | 'indexeddb'; + sel?: [number, number]; + sel_point?: number; + tab?: string; + progress?: string; + speed_mode?: string; +} + +export const UrlState = (() => { + // Internal state object, initialized from current URL. + let _state: AppState = {}; + let _lastSearch: string | null = null; + let _syncTimeout: any = null; + let _shouldPush = false; + + function read(): AppState { + const p = new URLSearchParams(location.search); + const s: AppState = {}; + + if (p.has('track')) s.track = p.get('track')!; + if (p.has('map')) s.map = p.get('map')!; + if (p.has('xaxis')) s.xaxis = p.get('xaxis')!; + if (p.has('tab')) s.tab = p.get('tab')!; + if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point')); + if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!; + if (p.has('progress')) s.progress = p.get('progress')!; + const metricsRaw = p.get('metrics'); + if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean); + + if (p.has('f_date')) { + s.f_date = p + .get('f_date')! + .split(',') + .map((v) => v || null); + } + if (p.has('f_dist')) { + s.f_dist = p + .get('f_dist')! + .split(',') + .map((v) => (v ? Number(v) : null)); + } + if (p.has('f_dur')) { + s.f_dur = p + .get('f_dur')! + .split(',') + .map((v) => (v ? Number(v) : null)); + } + if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(','); + if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(','); + + if (p.has('q')) s.q = p.get('q')!; + if (p.has('re')) s.re = p.get('re') === '1'; + if (p.has('sort')) { + const v = p.get('sort')!; + const isDesc = v.startsWith('-'); + const field = isDesc ? v.substring(1) : v; + s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`; + } + + if (p.has('map_pos')) { + const parts = p.get('map_pos')!.split(',').map(Number); + if (parts.length === 3 && parts.every(isFinite)) + s.map_pos = parts as [number, number, number]; + } + + if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb'; + if (p.has('sel')) { + const parts = p.get('sel')!.split(',').map(Number); + if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v))) + s.sel = parts as [number, number]; + } + + return s; + } + + // Sync _state to browser URL synchronously so no pending timer leaks across steps + function _sync() { + if (_syncTimeout) { + clearTimeout(_syncTimeout); + _syncTimeout = null; + } + + const p = new URLSearchParams(); + + // Add standard encoded params + if (_state.track) p.set('track', _state.track); + if (_state.map) p.set('map', _state.map); + if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis); + if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab); + if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage); + if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point)); + if (_state.speed_mode) p.set('speed_mode', _state.speed_mode); + if (_state.q) p.set('q', _state.q); + if (_state.progress) p.set('progress', _state.progress); + if (_state.re) p.set('re', '1'); + + if (_state.sort) { + const parts = _state.sort.split('-'); + const field = parts[0]; + const dir = parts[1]; + p.set('sort', (dir === 'desc' ? '-' : '') + field); + } + + let search = p.toString(); + + // Add comma-separated params (literal commas for cleaner URL) + if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`; + + if (_state.f_date) + search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`; + + if (_state.f_dist) + search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`; + + if (_state.f_dur) + search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`; + + if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`; + + if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`; + + if (_state.map_pos) { + const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${ + _state.map_pos[2] + }`; + search += `${search ? '&' : ''}map_pos=${val}`; + } + if (_state.sel) { + const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`; + search += `${search ? '&' : ''}sel=${val}`; + } + + if (search !== _lastSearch) { + const url = location.pathname + (search ? `?${search}` : ''); + if (_shouldPush) { + history.pushState(null, '', url); + _shouldPush = false; + } else { + history.replaceState(null, '', url); + } + _lastSearch = search; + } + } + + // Initial read + _state = read(); + + function get(): AppState { + return { ..._state }; + } + + function patch(partial: Partial>, push: boolean = false) { + if (push) _shouldPush = true; + for (const [k, v] of Object.entries(partial)) { + const key = k as keyof AppState; + if (v === null || v === undefined) delete _state[key]; + else (_state as any)[key] = v; + } + _sync(); + } + + function refresh() { + _state = read(); + } + + function reset() { + if (_syncTimeout) { + clearTimeout(_syncTimeout); + _syncTimeout = null; + } + _state = {}; + _shouldPush = false; + _lastSearch = ''; + history.replaceState(null, '', location.pathname); + } + + return { get, patch, refresh, reset }; +})(); diff --git a/suites-experimental/tools-gps-tracks/src/utils.ts b/suites-experimental/tools-gps-tracks/src/utils.ts new file mode 100644 index 0000000000..616087824f --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/utils.ts @@ -0,0 +1,139 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +export function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number { + const R = 6371e3; // Earth radius in metres + const phi1 = (lat1 * Math.PI) / 180; + const phi2 = (lat2 * Math.PI) / 180; + const deltaPhi = ((lat2 - lat1) * Math.PI) / 180; + const deltaLambda = ((lon2 - lon1) * Math.PI) / 180; + + const a = + Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) + + Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2); + const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a)); + + return R * c; +} + +export function compactId(timestamp: number): string { + // Use a compact representation of the timestamp (seconds since epoch) + // 1712650000 -> Base64 + const buf = new Uint32Array([Math.floor(timestamp / 1000)]); + const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer))); + return b64.replace(/\+/g, '-').replace(/\//g, '_').replace(/=/g, ''); +} + +export function generateId(): string { + return Math.random().toString(36).slice(2, 10); +} + +export function shortRandom(): string { + return Math.random().toString(36).slice(2, 6); +} + +export function fmtDuration(s: number): string { + if (s < 60) return `${Math.round(s)}s`; + if (s < 3600) return `${Math.round(s / 60)}m`; + return `${Math.round(s / 3600)}h`; +} + +export function fmtSecs(s: number): string { + const h = Math.floor(s / 3600), + m = Math.floor((s % 3600) / 60); + return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`; +} + +export function fmtPace(seconds: number | null): string { + if (seconds == null || !isFinite(seconds)) return '--'; + const mins = Math.floor(seconds / 60); + const secs = Math.round(seconds % 60); + return `${mins}:${secs.toString().padStart(2, '0')}`; +} + +export function fmtDate(ts: number | string | Date): string { + const d = new Date(ts); + if (isNaN(d.getTime())) return 'Unknown date'; + return d.toISOString().split('T')[0]; +} + +export function fmtDateTime(ts: number | string | Date): string { + const d = new Date(ts); + if (isNaN(d.getTime())) return 'Unknown'; + const iso = d.toISOString(); + return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`; +} + +export function fmtFileSize(bytes: number): string { + if (bytes === 0) return '0 B'; + const k = 1024; + const sizes = ['B', 'KB', 'MB', 'GB']; + const i = Math.floor(Math.log(bytes) / Math.log(k)); + return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`; +} + +export function escHtml(str: string): string { + return String(str) + .replace(/&/g, '&') + .replace(//g, '>') + .replace(/"/g, '"'); +} + +export function getTagColor(name: string): string { + let hash = 0; + for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash); + + const h = Math.abs(hash % 360); + return `hsl(${h}, 70%, 65%)`; +} + +/** + * Smoothes a numeric array using a simple Gaussian kernel. + * sigma: standard deviation (radius of smoothing) + */ +export function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] { + if (sigma <= 0) return data; + + const size = Math.ceil(sigma * 3) * 2 + 1; + const kernel = new Float32Array(size); + const half = Math.floor(size / 2); + let sum = 0; + + for (let i = 0; i < size; i++) { + const x = i - half; + kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma)); + sum += kernel[i]; + } + for (let i = 0; i < size; i++) kernel[i] /= sum; + + const result: (number | null)[] = new Array(data.length); + for (let i = 0; i < data.length; i++) { + if (data[i] === null) { + result[i] = null; + continue; + } + + let val = 0; + let weightSum = 0; + for (let k = 0; k < size; k++) { + const idx = i + k - half; + if (idx >= 0 && idx < data.length && data[idx] !== null) { + val += data[idx]! * kernel[k]; + weightSum += kernel[k]; + } + } + result[i] = weightSum > 0 ? val / weightSum : data[i]; + } + return result; +} + +export function hexToRgba(hex: string, alpha: number = 1): string { + const r = parseInt(hex.slice(1, 3), 16); + const g = parseInt(hex.slice(3, 5), 16); + const b = parseInt(hex.slice(5, 7), 16); + return `rgba(${r}, ${g}, ${b}, ${alpha})`; +} diff --git a/suites-experimental/tools-gps-tracks/src/vendor-fit.ts b/suites-experimental/tools-gps-tracks/src/vendor-fit.ts new file mode 100644 index 0000000000..458a369e0d --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/vendor-fit.ts @@ -0,0 +1,6 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +import FitParser from 'fit-file-parser'; +export default FitParser; diff --git a/suites-experimental/tools-gps-tracks/src/zones.ts b/suites-experimental/tools-gps-tracks/src/zones.ts new file mode 100644 index 0000000000..a2d79a4298 --- /dev/null +++ b/suites-experimental/tools-gps-tracks/src/zones.ts @@ -0,0 +1,60 @@ +// Copyright (c) 2026, Camillo Bruni. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. + +'use strict'; + +import { Parsers } from './parsers'; + +export interface ZoneRange { + name: string; + min: number; + max: number; + color: string; +} + +export const Zones = (() => { + function getPowerZones(): ZoneRange[] { + const ftp = Parsers.getFTP(); + const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp); + const names = [ + 'Active Recovery', + 'Endurance', + 'Tempo', + 'Threshold', + 'VO2 Max', + 'Anaerobic', + 'Neuromuscular', + ]; + const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B']; + + const zones: ZoneRange[] = []; + let last = 0; + for (let i = 0; i < thresholds.length; i++) { + zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] }); + last = thresholds[i]; + } + zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] }); + return zones; + } + + function getHRZones(): ZoneRange[] { + const thresholds = Parsers.getHRZones(); + const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic']; + const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B']; + + const zones: ZoneRange[] = []; + let last = 0; + for (let i = 0; i < thresholds.length; i++) { + zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] }); + last = thresholds[i]; + } + zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] }); + return zones; + } + + return { + getPowerZones, + getHRZones, + }; +})(); diff --git 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b/suites-experimental/tools-gps-tracks/test-data/manifest.json new file mode 100644 index 0000000000..52a312930a --- /dev/null +++ b/suites-experimental/tools-gps-tracks/test-data/manifest.json @@ -0,0 +1,8 @@ +[ + "activity_1_alps_stage.gpx.gz", + "activity_2_forest_mtb.gpx.gz", + "activity_3_road_race.tcx.gz", + "activity_4_intervals.tcx.gz", + "activity_5_grand_tour.fit.gz", + "activity_6_weekend_ride.fit.gz" +] \ No newline at end of file diff --git a/suites-experimental/tools-gps-tracks/tsconfig.json b/suites-experimental/tools-gps-tracks/tsconfig.json new file mode 100644 index 0000000000..dab0956d5e --- /dev/null +++ b/suites-experimental/tools-gps-tracks/tsconfig.json @@ -0,0 +1,17 @@ +{ + "compilerOptions": { + "target": "ES2020", + "module": "ESNext", + "moduleResolution": "node", + "strict": true, + "allowImportingTsExtensions": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "lib": ["DOM", "DOM.Iterable", "ESNext"], + "isolatedModules": true, + "sourceMap": true, + "noEmit": true + }, + "include": ["src/**/*"] +} From c16994508524fad6dd2d4f33018a15ccc46e29a1 Mon Sep 17 00:00:00 2001 From: Camillo Bruni Date: Fri, 13 Nov 2026 12:05:00 +0000 Subject: [PATCH 2/6] [tools-gps-tracks] Scale step workloads to >20ms on desktop Firefox Expand the geospatial and physiological telemetry computations across all seven benchmark steps so each step consistently exceeds 20 ms on desktop Firefox while keeping iteration variance low. --- .../dist/benchmark-override.mjs | 2 +- .../dist/benchmark-override.mjs.map | 6 +- .../dist/tools-gps-tracks.mjs | 472 +++++++++--------- .../dist/tools-gps-tracks.mjs.map | 6 +- .../tools-gps-tracks/src/app.ts | 36 +- .../src/benchmark-override.ts | 21 + .../tools-gps-tracks/src/charts.ts | 109 ++++ .../tools-gps-tracks/src/parsers.ts | 106 +++- .../tools-gps-tracks/src/tabs/combined.ts | 100 +++- .../tools-gps-tracks/src/tabs/courses.ts | 113 ++++- .../tools-gps-tracks/src/tabs/details.ts | 110 ++-- .../tools-gps-tracks/src/tabs/insights.ts | 115 ++++- .../tools-gps-tracks/src/tabs/progress.ts | 114 ++++- .../tools-gps-tracks/src/url-state.ts | 16 +- 14 files changed, 934 insertions(+), 392 deletions(-) diff --git a/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs b/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs index bbaea51084..20a94e2f59 100644 --- a/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs +++ b/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs @@ -1,2 +1,2 @@ -var o=539363104;window.__resetBenchmarkSeed=()=>{o=539363104};Math.random=()=>{let e=o+=1831565813;return 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-
${(n.totalDist/1e3).toFixed(2)} km
+
${(o.totalDist/1e3).toFixed(2)} km
Duration
-
${n.duration?ht(Math.floor(n.duration/1e3)):"\u2014"}
+
${o.duration?ht(Math.floor(o.duration/1e3)):"\u2014"}
Avg Speed
-
${n.avgSpeed?(n.avgSpeed*3.6).toFixed(1):"\u2014"} km/h
+
${o.avgSpeed?(o.avgSpeed*3.6).toFixed(1):"\u2014"} km/h
Max Speed
-
${(n.maxSpeed*3.6).toFixed(1)} km/h
+
${(o.maxSpeed*3.6).toFixed(1)} km/h
- ${n.avgBattery!==null?`
+ ${o.avgBattery!==null?`
Avg Battery
-
${n.avgBattery}%
+
${o.avgBattery}%
`:""}
@@ -94,7 +94,7 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams(
File Size
-
${e.fileSize?Ws(e.fileSize):"\u2014"}
+
${e.fileSize?hl(e.fileSize):"\u2014"}
Format
@@ -103,8 +103,8 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams(
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Start Time
-
${o?Ns(o):"Unknown"}
+
${a?gl(a):"Unknown"}
@@ -129,59 +129,59 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams(
Telemetry Stability
-
${T}%
+
${m}%
Sensors Found
- ${n.sensors.length?n.sensors.map(p=>`${Hl[p]||"sensors"}`).join(""):'GPS only'} + ${o.sensors.length?o.sensors.map(b=>`${Ho[b]||"sensors"}`).join(""):'GPS only'}
- ${n.avgHR||n.avgPower||n.avgCadence||n.avgTemp!=null?` + ${o.avgHR||o.avgPower||o.avgCadence||o.avgTemp!=null?`
monitoringBiometric Averages
- ${n.avgHR?`
+ ${o.avgHR?`
Avg HR
-
${n.avgHR} bpm
+
${o.avgHR} bpm
`:""} - ${n.maxHR?`
+ ${o.maxHR?`
Max HR
-
${n.maxHR} bpm
+
${o.maxHR} bpm
`:""} - ${n.avgPower?`
+ ${o.avgPower?`
Avg Power
-
${n.avgPower} W
+
${o.avgPower} W
`:""} - ${n.maxPower?`
+ ${o.maxPower?`
Max Power
-
${n.maxPower} W
+
${o.maxPower} W
`:""} - ${n.avgCadence?`
+ ${o.avgCadence?`
Avg Cadence
-
${n.avgCadence} rpm
+
${o.avgCadence} rpm
`:""} - ${n.avgTemp!=null?`
+ ${o.avgTemp!=null?`
Avg Temp
-
${n.avgTemp.toFixed(1)} \xB0C
+
${o.avgTemp.toFixed(1)} \xB0C
`:""} - ${n.minTemp!=null&&n.maxTemp!=null?`
+ ${o.minTemp!=null&&o.maxTemp!=null?`
Temp Range
-
${n.minTemp.toFixed(1)} \u2013 ${n.maxTemp.toFixed(1)} \xB0C
+
${o.minTemp.toFixed(1)} \u2013 ${o.maxTemp.toFixed(1)} \xB0C
`:""}
`:""} - ${n.shifts!==null?` + ${o.shifts!==null?`
settingsDrivetrain
Total Shifts
-
${n.shifts}
+
${o.shifts}
`:""} @@ -190,22 +190,22 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams(
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- ${D} -
${pt(F)}
- ${B?`${B}`:""} + ${q} +
${pt(x)}
+ ${_?`${_}`:""}
-
${q}
+
${w}
- ${J?`
${pt(J)}
`:""} + ${D?`
${pt(D)}
`:""}
-
${pt(h.type||"device")}
- ${Y?`
+
${pt(u.type||"device")}
+ ${W?`
battery_charging_full - ${pt(Y)} + ${pt(W)}
`:""}
@@ -221,56 +221,56 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams(
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${z.icon} - ${z.name} - ${le?"check":""} - `,D.addEventListener("click",async()=>{e.sport=B,await at.save(e),h.remove();let y=document.getElementById("sport-icon");y&&(y.textContent=z.icon);let d=document.getElementById("sport-name");d&&(d.textContent=z.name),hn()}),h.appendChild(D)});let F=document.createElement("div"),q=!e.sport;F.className=`menu-item ${q?"active":""}`,F.innerHTML=` + `,w.innerHTML=` + ${pt(u)} + close + `,T.appendChild(w)}),T.querySelectorAll(".btn-remove-tag").forEach(u=>{u.addEventListener("click",async x=>{let w=x.currentTarget.dataset.tag;e.tags=(e.tags||[]).filter(D=>D!==w),await at.save(e),O(),Mn()})})},H=async()=>{let b=f.value.trim().toLowerCase();if(!b)return;let u=new Set(e.tags||[]);if(u.has(b)){f.value="";return}u.add(b),e.tags=Array.from(u).sort(),await at.save(e),f.value="",O(),Mn()};M.addEventListener("click",H),f.addEventListener("keydown",b=>{b.key==="Enter"&&H()});let E=s.querySelector("#details-title-input");E?.addEventListener("change",async()=>{let b=E.value.trim();b&&(e.displayName=b,await at.save(e),Mn())});let k=document.getElementById("sport-dropdown-trigger");k?.addEventListener("click",b=>{b.stopPropagation(),p(k)});function p(b){if(!e)return;document.querySelectorAll(".metric-menu-popup").forEach(_=>_.remove());let u=document.createElement("div");u.className="metric-menu-popup",Object.keys(Nt).forEach(_=>{let C=Nt[_],q=document.createElement("div"),N=e.sport?.toLowerCase()===_;q.className=`menu-item ${N?"active":""}`,q.innerHTML=` + ${C.icon} + ${C.name} + ${N?"check":""} + `,q.addEventListener("click",async()=>{e.sport=_,await at.save(e),u.remove();let ie=document.getElementById("sport-icon");ie&&(ie.textContent=C.icon);let y=document.getElementById("sport-name");y&&(y.textContent=C.name),Mn()}),u.appendChild(q)});let x=document.createElement("div"),w=!e.sport;x.className=`menu-item ${w?"active":""}`,x.innerHTML=` block \u2014 - ${q?"check":""} - `,F.addEventListener("click",async()=>{e.sport=void 0,await at.save(e),h.remove();let B=document.getElementById("sport-icon");B&&(B.textContent="question_mark");let z=document.getElementById("sport-name");z&&(z.textContent="\u2014"),hn()}),h.appendChild(F),document.body.appendChild(h);let J=p.getBoundingClientRect();h.style.top=`${J.bottom+window.scrollY+4}px`,h.style.left=`${J.left+window.scrollX}px`;let Y=B=>{!h.contains(B.target)&&!p.contains(B.target)&&(h.remove(),document.removeEventListener("click",Y))};setTimeout(()=>document.addEventListener("click",Y),10)}S(),document.getElementById("btn-delete-track")?.addEventListener("click",()=>{confirm(`Remove "${e.name}"?`)&&qs(e.id)})}import zl from"uplot";var wt=[];function Ys(e){return wt.filter(s=>{if(s.points.length===0)return!1;for(let t of s.points){let n=!1;for(let o of e.points)if(tn(t.lat,t.lon,o.lat,o.lon)<=t.radius){n=!0;break}if(!n)return!1}return!0})}var vn=null,Hn=!1,bn=null,js=()=>{},_l=null;function Zs(e){js=e,Bl()}function Gs(){wt=[],vn=null,bn=null,Hn=!1;let e=document.getElementById("courses-view");e&&(e.innerHTML=` + ${w?"check":""} + `,x.addEventListener("click",async()=>{e.sport=void 0,await at.save(e),u.remove();let _=document.getElementById("sport-icon");_&&(_.textContent="question_mark");let C=document.getElementById("sport-name");C&&(C.textContent="\u2014"),Mn()}),u.appendChild(x),document.body.appendChild(u);let D=b.getBoundingClientRect();u.style.top=`${D.bottom+window.scrollY+4}px`,u.style.left=`${D.left+window.scrollX}px`;let W=_=>{!u.contains(_.target)&&!b.contains(_.target)&&(u.remove(),document.removeEventListener("click",W))};setTimeout(()=>document.addEventListener("click",W),10)}O(),document.getElementById("btn-delete-track")?.addEventListener("click",()=>{confirm(`Remove "${e.name}"?`)&&yl(e.id)})}import qo from"uplot";var wt=[];function Pl(e){return wt.filter(n=>{if(n.points.length===0)return!1;for(let t of n.points){let s=!1;for(let o of e.points)if(sn(t.lat,t.lon,o.lat,o.lon)<=t.radius){s=!0;break}if(!s)return!1}return!0})}var $n=null,On=!1,Cn=null,Al=()=>{},_o=null;function Il(e){Al=e,Bo()}function Hl(){wt=[],$n=null,Cn=null,On=!1;let e=document.getElementById("courses-view");e&&(e.innerHTML=`
route
No courses created yet
- `)}function Xs(e){wt=[];for(let s=0;s0&&(vn=wt[0].id,bn=wt[0].id)}async function Bl(){try{let e=await at.get("courses");e&&(wt=e)}catch(e){console.error("Courses: Failed to load courses",e)}}async function fs(){try{await at.set("courses",wt)}catch(e){console.error("Courses: Failed to save courses",e),js("Failed to save courses","error")}}function Fl(e){let s=0;for(let t=0;t0){let p=n[I-1];if(P.ele!=null&&p.ele!=null){let h=P.ele-p.ele;h>0&&(M+=h)}}}let g=n.length>1?(n[n.length-1].dist||0)-(n[0].dist||0):0;return{duration:u,dist:g,avgWatts:m>0?Math.round(c/m):null,avgHR:b>0?Math.round(T/b):null,avgSpeed:R>0?w/R:null,avgCadence:k>0?Math.round(S/k):null,avgVam:u>0?Math.round(M/(u/3600)):null}}function Dl(e){let s=Math.floor(e/3600),t=Math.floor(e%3600/60),n=Math.floor(e%60);return s>0?`${s}:${t.toString().padStart(2,"0")}:${n.toString().padStart(2,"0")}`:`${t}:${n.toString().padStart(2,"0")}`}function hs(){return` + `)}function Bs(e){wt=[];for(let n=0;n0&&($n=wt[0].id,Cn=wt[0].id)}async function Bo(){try{let e=await at.get("courses");e&&(wt=e)}catch(e){console.error("Courses: Failed to load courses",e)}}async function Ds(){try{await at.set("courses",wt)}catch(e){console.error("Courses: Failed to save courses",e),Al("Failed to save courses","error")}}function Do(e){let n=0;for(let t=0;tt)return{duration:0,dist:0,avgWatts:null,avgHR:null,avgSpeed:null,avgCadence:null,avgVam:null};let a=Math.max(0,Math.min(n,o-1)),g=Math.max(a,Math.min(t,o-1)),c=s[a]?.time||0,T=((s[g]?.time||0)-c)/1e3,f=0,M=0,O=0,H=0,E=0,k=0,p=0,P=0,b=0;for(let x=a;x<=g;x++){let w=s[x];if(w.power!=null&&(f+=w.power,M++),w.hr!=null&&(O+=w.hr,H++),w.speed!=null&&(E+=w.speed,k++),w.cadence!=null&&(p+=w.cadence,P++),x>a){let D=s[x-1];if(w.ele!=null&&D.ele!=null){let W=w.ele-D.ele;W>0&&(b+=W)}}}let u=g>a?(s[g].dist||0)-(s[a].dist||0):0;return{duration:T,dist:u,avgWatts:M>0?Math.round(f/M):null,avgHR:H>0?Math.round(O/H):null,avgSpeed:k>0?E/k:null,avgCadence:P>0?Math.round(p/P):null,avgVam:T>0?Math.round(b/(T/3600)):null}}function Ro(e){let n=Math.floor(e/3600),t=Math.floor(e%3600/60),s=Math.floor(e%60);return n>0?`${n}:${t.toString().padStart(2,"0")}:${s.toString().padStart(2,"0")}`:`${t}:${s.toString().padStart(2,"0")}`}function Ns(){return` calendar_today Date straighten Distance timer Duration speed Speed speed Pace - trending_up VAM + trending_up VAM bolt Power favorite HR - `}function bs(e,s,t){let o=(s?Wt[s.toLowerCase()]:null)?.paceUnit||"km",r="--";if(e.avgSpeed!=null&&e.avgSpeed>.1){let u=(o==="km"?1e3:100)/e.avgSpeed;r=`${An(u)} min/${o}`}return` + `}function Ws(e,n,t){let o=(n?Nt[n.toLowerCase()]:null)?.paceUnit||"km",a="--";if(e.avgSpeed!=null&&e.avgSpeed>.1){let g=(o==="km"?1e3:100)/e.avgSpeed;a=`${Vn(g)} min/${o}`}return` ${t} ${e.dist!=null?`${(e.dist/1e3).toFixed(2)} km`:"-"} - ${Dl(e.duration)} + ${Ro(e.duration)} ${e.avgSpeed!=null?`${(e.avgSpeed*3.6).toFixed(1)} km/h`:"-"} - ${r} + ${a} ${e.avgVam!=null?`${e.avgVam} m/h`:"-"} ${e.avgWatts!=null?`${e.avgWatts} W`:"-"} ${e.avgHR!=null?`${e.avgHR} bpm`:"-"} - `}function Dt(){let e=document.getElementById("courses-view");if(!e)return;let s=0;for(let t of wt){if(t.points.length<2)continue;let n=_e.findTracksPassingThroughPoints(t.points.map(u=>({lat:u.lat,lng:u.lon})),t.points[0]?.radius||20),o=3,r=[];for(let u=0;u({lat:a.lat,lng:a.lon})),t.points[0]?.radius||20),o=12;for(let a=0;a
- ${Hn?` + ${On?` @@ -288,7 +288,7 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams( route
No courses created yet
- `:wt.map(t=>{let n=t.points.map(c=>({lat:c.lat,lng:c.lon})),o=_e.findTracksPassingThroughPoints(n,t.points[0]?.radius||20),r=t.id===bn,u="";if(r){let c=o.map(m=>{let T=_e.getTrackData(m);if(!T)return null;let b=Kn(T,t.points);if(!b)return null;let w=gs(T,b.startIdx,b.endIdx),R=T.stats?.startTime||T.points?.[0]?.time,S=R?Zt(R):"-";return{id:m,displayName:T.displayName||T.name||m,date:S,sport:T.sport,color:T.color,...w,startIdx:b.startIdx,endIdx:b.endIdx}}).filter(m=>m!==null);c.sort((m,T)=>m.duration-T.duration||m.id.localeCompare(T.id)),u=` + `:wt.map(t=>{let s=t.points.map(c=>({lat:c.lat,lng:c.lon})),o=De.findTracksPassingThroughPoints(s,t.points[0]?.radius||20),a=t.id===Cn,g="";if(a){let c=o.map(m=>{let T=De.getTrackData(m);if(!T)return null;let f=ys(T,t.points);if(!f)return null;let M=Rs(T,f.startIdx,f.endIdx),O=T.stats?.startTime||T.points?.[0]?.time,H=O?Gt(O):"-";return{id:m,displayName:T.displayName||T.name||m,date:H,sport:T.sport,color:T.color,...M,startIdx:f.startIdx,endIdx:f.endIdx}}).filter(m=>m!==null);c.sort((m,T)=>m.duration-T.duration||m.id.localeCompare(T.id)),g=`
${c.length===0?`
No matching tracks
@@ -297,7 +297,7 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams( Track (${c.length}) - ${hs()} + ${Ns()} @@ -309,7 +309,7 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams( ${pt(m.displayName)}
- ${bs(m,m.sport,m.date)} + ${Ws(m,m.sport,m.date)} `).join("")} @@ -317,53 +317,53 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams( `}
`}return` -
+
- ${r?"expand_more":"chevron_right"} + ${a?"expand_more":"chevron_right"}
${pt(t.name)} edit
-
straighten ${Fl(t).toFixed(2)} km | ${t.points.length} points | ${o.length} matching tracks
+
straighten ${Do(t).toFixed(2)} km | ${t.points.length} points | ${o.length} matching tracks
- ${u} + ${g}
`}).join("")}
- `,document.getElementById("btn-new-course")?.addEventListener("click",()=>{Rl()}),document.getElementById("btn-done-edit")?.addEventListener("click",()=>{Hn=!1,_e.setCustomClickHandler(null),document.getElementById("map-container")?.classList.remove("editing-mode"),Dt()}),e.querySelectorAll(".course-item").forEach(t=>{let n=t.dataset.id;t.querySelector(".btn-edit-course")?.addEventListener("click",o=>{o.stopPropagation(),Js(n)}),t.querySelector(".btn-rename-course")?.addEventListener("click",o=>{o.stopPropagation(),Nl(n)}),t.querySelector(".btn-delete-course")?.addEventListener("click",o=>{o.stopPropagation(),Wl(n)}),t.querySelector(".course-item-header")?.addEventListener("click",o=>{o.target.closest(".course-actions")||o.target.closest(".btn-rename-course")||(_n(n),bn=bn===n?null:n,Dt())}),t.querySelectorAll(".course-track-row").forEach(o=>{let r=o.dataset.trackId,u=parseInt(o.dataset.start,10),c=parseInt(o.dataset.end,10);o.querySelector(".track-name-cell")?.addEventListener("click",m=>{m.stopPropagation();let T=_e.getTrackData(r);T&&(Mt(r,!1),setTimeout(()=>{let b=T.points,w=b.find(p=>p.time!=null)?.time||0,R=Math.max(0,Math.min(u,b.length-1)),S=Math.max(0,Math.min(c,b.length-1)),k=Math.max(0,((b[R]?.time||0)-w)/1e3),M=Math.max(0,((b[S]?.time||0)-w)/1e3),g=Me.getXAxis(),I=k,P=M;g==="distance"&&(I=Math.max(0,(b[R]?.dist||0)/1e3),P=Math.max(0,(b[S]?.dist||0)/1e3)),Ye.patch({sel:[I,P],tab:"graphs"},!0),Me.restoreSelection(k,M),_e.highlightSegment(r,T.points,u,c,!0)},50))}),o.addEventListener("mouseenter",()=>{_e.setTrackHover(r,!0)}),o.addEventListener("mouseleave",()=>{_e.setTrackHover(r,!1)})})})}function Rl(){let e=`Course ${wt.length+1}`,s={id:Math.random().toString(36).substring(2,9),name:e,points:[]};wt.push(s),fs(),Dt(),Js(s.id)}function Nl(e){let s=wt.find(c=>c.id===e);if(!s)return;let t=document.querySelector(`.course-item[data-id="${e}"]`);if(!t)return;let n=t.querySelector(".course-name");if(!n)return;let o=s.name;n.innerHTML=``;let r=n.querySelector(".course-name-input");r.focus(),r.select();let u=()=>{let c=r.value.trim();c!==""&&(s.name=c,fs()),Dt()};r.addEventListener("blur",u),r.addEventListener("keydown",c=>{c.key==="Enter"?u():c.key==="Escape"&&Dt()})}function Js(e){vn=e,Hn=!0,Dt()}function Qs(){_l=null}function _n(e,s=!1){vn=e,s&&(bn=e),Hn=!1,_e.setCustomClickHandler(null),Qs(),Dt()}function Wl(e){confirm("Are you sure you want to delete this course?")&&(wt=wt.filter(s=>s.id!==e),vn===e&&(vn=null,Qs()),fs(),Dt())}var es=()=>{},vs=[];function el(){vs.forEach(e=>e.destroy()),vs=[]}function tl(e){es=e}function nl(){el(),document.querySelectorAll(".hr-settings-popup").forEach(s=>s.remove());let e=document.getElementById("insights-view");e&&(e.innerHTML=` + 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no_sim
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analytics
No insights available for this track (requires Power or Heart Rate data)
- `;return}let n=e.points,o=it.getFTP(),r=[180,240,300,360,420,480,540,600,720,900],u=2e4;for(let S=0;S<8;S++)for(let k=0;k>1;for(let F=0;Fo?I-=q-o:I=2e4-(2e4-I)*g,I
- `;let c=document.getElementById("insights-grid");if(!c)return;let m=Math.round(c.getBoundingClientRect().width-42)||480;if(t.powerCurve&&Ks({grid:c,track:e,curve:t.powerCurve,metricKey:"power",label:"Power Curve",unit:"W",color:De.power.color,icon:"bolt",chartWidth:m}),t.hrCurve&&Ks({grid:c,track:e,curve:t.hrCurve,metricKey:"hr",label:"Heart Rate Curve",unit:"bpm",color:De.hr.color,icon:"favorite",chartWidth:m}),t.powerZones){let S=document.createElement("div");S.className="insight-card";let k="power",M=De.power.color;S.style.setProperty("--chart-color",M);let g=Me.getMapColorMetric()===k,I=t.powerZones.reduce((h,F)=>h+F,0),P=gn.getPowerZones(),p="";t.powerZones.forEach((h,F)=>{if(F>=P.length)return;let q=P[F],J=I>0?h/I*100:0,Y=isFinite(q.max)?`${Math.round(q.min)} - ${Math.round(q.max)} W`:`> ${Math.round(q.min)} W`;p+=` + `;return}let o=n.length>0?n:[e],a=ot.getFTP(),g=2e4,c=0;for(let E=0;E0?W*_*36:0;Bl[b]=x,Dl[b]=1/w,Rl[b]=1/(D+1),Uo[b]=W,Vo[b]=C,ws[b+1]=ws[b]+x,Ts[b+1]=Ts[b]+C}for(let b=0;b<40;b++){let u=1+b*.01;for(let x=0;xp)continue;let D=p-w,W=0,_=0;for(let C=0;C<=D;C++){let q=(ws[C+w]-ws[C])*u,N=Ts[C+w]-Ts[C];q>W&&(W=q),N>_&&(_=N)}c+=(W+_)/w}}let P=p>>1;for(let b=0;b<17;b++)for(let u=0;u<18;u++){let x=a*(.88+u*.02+b*.005),w=Oo[u]+b*10,D=2e4,W=0,_=0;for(let C=0;Cx){let d=q-x;D-=d*(1+.05*(1-Math.exp(-.005*d)))}else{let d=x-q,r=546*Math.exp(-.01*d)+w;D=2e4-(2e4-D)*Math.exp(-1/r)}D
+ `;let m=document.getElementById("insights-grid");if(!m)return;let T=Math.round(m.getBoundingClientRect().width-42)||480;if(s.powerCurve&&Wl({grid:m,track:e,curve:s.powerCurve,metricKey:"power",label:"Power Curve",unit:"W",color:We.power.color,icon:"bolt",chartWidth:T}),s.hrCurve&&Wl({grid:m,track:e,curve:s.hrCurve,metricKey:"hr",label:"Heart Rate Curve",unit:"bpm",color:We.hr.color,icon:"favorite",chartWidth:T}),s.powerZones){let E=document.createElement("div");E.className="insight-card";let k="power",p=We.power.color;E.style.setProperty("--chart-color",p);let P=Se.getMapColorMetric()===k,b=s.powerZones.reduce((w,D)=>w+D,0),u=Sn.getPowerZones(),x="";s.powerZones.forEach((w,D)=>{if(D>=u.length)return;let W=u[D],_=b>0?w/b*100:0,C=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} W`:`> ${Math.round(W.min)} W`;x+=`
- Z${F+1} - ${q.name} - ${Y} - ${ht(Math.round(h))} - ${J.toFixed(1)}% + Z${D+1} + ${W.name} + ${C} + ${ht(Math.round(w))} + ${_.toFixed(1)}%
-
+
- `}),S.innerHTML=` + `}),E.innerHTML=`
- boltPower Zones + boltPower Zones
-
@@ -371,27 +371,27 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams( settings
-
${p}
- `,c.appendChild(S),S.querySelector(".map-color-btn")?.addEventListener("click",h=>{h.stopPropagation(),Me.toggleMapColor(k);let F=Me.getMapColorMetric();c.querySelectorAll(".map-color-btn").forEach(q=>{let J=q;J.classList.toggle("active",J.dataset.metric===F)})}),S.querySelector(".btn-pw-settings")?.addEventListener("click",h=>{h.stopPropagation(),ql(h.currentTarget,e)})}if(t.hrZones){let S=document.createElement("div");S.className="insight-card";let k="hr",M=De.hr.color;S.style.setProperty("--chart-color",M);let g=Me.getMapColorMetric()===k,I=t.hrZones.reduce((h,F)=>h+F,0),P=gn.getHRZones(),p="";t.hrZones.forEach((h,F)=>{if(F>=P.length)return;let q=P[F],J=I>0?h/I*100:0,Y=isFinite(q.max)?`${Math.round(q.min)} - ${Math.round(q.max)} bpm`:`> ${Math.round(q.min)} bpm`;p+=` +
${x}
+ `,m.appendChild(E),E.querySelector(".map-color-btn")?.addEventListener("click",w=>{w.stopPropagation(),Se.toggleMapColor(k);let D=Se.getMapColorMetric();m.querySelectorAll(".map-color-btn").forEach(W=>{let _=W;_.classList.toggle("active",_.dataset.metric===D)})}),E.querySelector(".btn-pw-settings")?.addEventListener("click",w=>{w.stopPropagation(),jo(w.currentTarget,e)})}if(s.hrZones){let E=document.createElement("div");E.className="insight-card";let k="hr",p=We.hr.color;E.style.setProperty("--chart-color",p);let P=Se.getMapColorMetric()===k,b=s.hrZones.reduce((w,D)=>w+D,0),u=Sn.getHRZones(),x="";s.hrZones.forEach((w,D)=>{if(D>=u.length)return;let W=u[D],_=b>0?w/b*100:0,C=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} bpm`:`> ${Math.round(W.min)} bpm`;x+=`
- Z${F+1} - ${q.name} - ${Y} - ${ht(Math.round(h))} - ${J.toFixed(1)}% + Z${D+1} + ${W.name} + ${C} + ${ht(Math.round(w))} + ${_.toFixed(1)}%
-
+
- `}),S.innerHTML=` + `}),E.innerHTML=`
- favoriteHeart Rate Zones + favoriteHeart Rate Zones
-
@@ -399,30 +399,30 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams( settings
-
${p}
- `,c.appendChild(S),S.querySelector(".map-color-btn")?.addEventListener("click",h=>{h.stopPropagation(),Me.toggleMapColor(k);let F=Me.getMapColorMetric();c.querySelectorAll(".map-color-btn").forEach(q=>{let J=q;J.classList.toggle("active",J.dataset.metric===F)})}),S.querySelector(".btn-hr-settings")?.addEventListener("click",h=>{h.stopPropagation(),Ul(h.currentTarget,e)})}let T=document.createElement("div");T.className="insight-card";let b=t.totalDist/1e3,w=b>0?t.elevGain/(b*1e3)*100:0;if(T.innerHTML=` +
${x}
+ `,m.appendChild(E),E.querySelector(".map-color-btn")?.addEventListener("click",w=>{w.stopPropagation(),Se.toggleMapColor(k);let D=Se.getMapColorMetric();m.querySelectorAll(".map-color-btn").forEach(W=>{let _=W;_.classList.toggle("active",_.dataset.metric===D)})}),E.querySelector(".btn-hr-settings")?.addEventListener("click",w=>{w.stopPropagation(),Yo(w.currentTarget,e)})}let f=document.createElement("div");f.className="insight-card";let M=s.totalDist/1e3,O=M>0?s.elevGain/(M*1e3)*100:0;if(f.innerHTML=`
- terrainClimbing Analysis + terrainClimbing Analysis
Total Ascent
-
${Math.round(t.elevGain)} m
+
${Math.round(s.elevGain)} m
Total Descent
-
${Math.round(t.elevLoss)} m
+
${Math.round(s.elevLoss)} m
Avg Grade
-
${w.toFixed(1)} %
+
${O.toFixed(1)} %
VAM
-
${t.duration&&t.duration>0?Math.round(t.elevGain/t.duration*36e5):0} m/h
+
${s.duration&&s.duration>0?Math.round(s.elevGain/s.duration*36e5):0} m/h
- `,c.appendChild(T),t.avgPower&&t.avgHR){let S=document.createElement("div");S.className="insight-card";let k=t.avgPower/t.avgHR;S.innerHTML=` + `,m.appendChild(f),s.avgPower&&s.avgHR){let E=document.createElement("div");E.className="insight-card";let k=s.avgPower/s.avgHR;E.innerHTML=`
monitoringEfficiency Factor
@@ -433,18 +433,18 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams(
Higher values indicate better aerobic fitness.
- `,c.appendChild(S)}let R=Ys(e);if(R.length>0){let S=document.createElement("div");S.className="insight-card",S.style.cssText="column-span: all; display: block;",S.innerHTML=` -
routeCourses (${R.length})
+ `,m.appendChild(E)}let H=Pl(e);if(H.length>0){let E=document.createElement("div");E.className="insight-card",E.style.cssText="column-span: all; display: block;",E.innerHTML=` +
routeCourses (${H.length})
- ${hs()} + ${Ns()} - ${R.map(k=>{let M=Kn(e,k.points),g="";if(M){let I=gs(e,M.startIdx,M.endIdx),P=e.stats?.startTime||e.points?.[0]?.time,p=P?Zt(P):"-";g=bs(I,e.sport||null,p)}else g='';return` + ${H.map(k=>{let p=ys(e,k.points),P="";if(p){let b=Rs(e,p.startIdx,p.endIdx),u=e.stats?.startTime||e.points?.[0]?.time,x=u?Gt(u):"-";P=Ws(b,e.sport||null,x)}else P='';return` - ${g} + ${P} `}).join("")}
Name
No continuous segmentNo continuous segment
@@ -452,19 +452,19 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams( ${pt(k.name)}
- `,c.appendChild(S),S.querySelectorAll(".clickable-course").forEach(k=>{k.addEventListener("click",()=>{let M=k.dataset.id;_n(M,!0),Ye.patch({tab:"courses"},!0)}),k.addEventListener("mouseenter",()=>{let M=k.dataset.id,g=R.find(I=>I.id===M);if(g){let I=Kn(e,g.points);I&&_e.highlightSegment(e.id,e.points,I.startIdx,I.endIdx,!1)}}),k.addEventListener("mouseleave",()=>{_e.clearHighlight()})})}}function Ks(e){let{grid:s,track:t,curve:n,metricKey:o,label:r,unit:u,color:c,icon:m,chartWidth:T}=e,b=Me.getMapColorMetric()===o,w=document.createElement("div");w.className="insight-card",w.style.setProperty("--chart-color",c),w.innerHTML=` + `,m.appendChild(E),E.querySelectorAll(".clickable-course").forEach(k=>{k.addEventListener("click",()=>{let p=k.dataset.id;Ln(p,!0),Ye.patch({tab:"courses"},!0)}),k.addEventListener("mouseenter",()=>{let p=k.dataset.id,P=H.find(b=>b.id===p);if(P){let b=ys(e,P.points);b&&De.highlightSegment(e.id,e.points,b.startIdx,b.endIdx,!1)}}),k.addEventListener("mouseleave",()=>{De.clearHighlight()})})}}function Wl(e){let{grid:n,track:t,curve:s,metricKey:o,label:a,unit:g,color:c,icon:m,chartWidth:T}=e,f=Se.getMapColorMetric()===o,M=document.createElement("div");M.className="insight-card",M.style.setProperty("--chart-color",c),M.innerHTML=`
- ${m}${r} + ${m}${a}
-
@@ -485,32 +485,32 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams(
- `,s.appendChild(w);let R=w.querySelector(".curve-table-wrap"),S=w.querySelector(".btn-toggle-table"),k=S.querySelector(".material-symbols-rounded");S.addEventListener("click",()=>{let p=R.style.display==="none";R.style.display=p?"block":"none",k.textContent=p?"expand_less":"expand_more"});let M=w.querySelector(".map-color-btn");M.addEventListener("click",p=>{p.stopPropagation();let h=M.dataset.metric;Me.toggleMapColor(h);let F=Me.getMapColorMetric();s.querySelectorAll(".map-color-btn").forEach(q=>{let J=q;J.classList.toggle("active",J.dataset.metric===F)})});let g=w.querySelector(".curve-tbody"),I=Object.keys(n).map(Number).sort((p,h)=>p-h);I.forEach(p=>{let h=n[p],F=h.power||h.hr||h.val,q=document.createElement("tr");q.innerHTML=` - ${Ft(p)} - ${F} ${u} + `,n.appendChild(M);let O=M.querySelector(".curve-table-wrap"),H=M.querySelector(".btn-toggle-table"),E=H.querySelector(".material-symbols-rounded");H.addEventListener("click",()=>{let u=O.style.display==="none";O.style.display=u?"block":"none",E.textContent=u?"expand_less":"expand_more"});let k=M.querySelector(".map-color-btn");k.addEventListener("click",u=>{u.stopPropagation();let x=k.dataset.metric;Se.toggleMapColor(x);let w=Se.getMapColorMetric();n.querySelectorAll(".map-color-btn").forEach(D=>{let W=D;W.classList.toggle("active",W.dataset.metric===w)})});let p=M.querySelector(".curve-tbody"),P=Object.keys(s).map(Number).sort((u,x)=>u-x);P.forEach(u=>{let x=s[u],w=x.power||x.hr||x.val,D=document.createElement("tr");D.innerHTML=` + ${Bt(u)} + ${w} ${g} - - `,g?.appendChild(q)}),g?.querySelectorAll(".btn-show-peak").forEach(p=>{p.addEventListener("click",h=>{let F=h.currentTarget,q=parseInt(F.dataset.idx),J=parseInt(F.dataset.len),Y=t.points,B=Math.min(Y.length-1,q+J-1),z=Y[0].time||0,D=((Y[q].time||z)-z)/1e3,le=((Y[B].time||z)-z)/1e3;Ye.patch({sel:[D,le]}),_e.highlightSegment(t.id,Y,q,B,!0)})});let P=w.querySelector(`#${o}-curve-chart`);if(P){let p=I,h=I.map(Y=>n[Y].power||n[Y].hr||n[Y].val),F=document.createElement("div");F.className="cur-y-val",F.style.cssText=`color:${c};display:none;border-color:${c}44`,P.style.position="relative",P.appendChild(F);let q={id:`${o}-curve`,width:0,height:250,padding:[10,10,0,10],scales:{x:{time:!1,distr:3,auto:!0},y:{auto:!0}},series:[{},{label:r,stroke:c,width:2,fill:tt(c,.1),points:{show:!0,size:5,fill:c}}],axes:[{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},show:!0,values:()=>[],ticks:{show:!1},font:"10px system-ui, sans-serif",size:30},{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},values:(Y,B)=>B.map(z=>`${z}${u}`),font:"10px system-ui, sans-serif",size:50}],cursor:{drag:{x:!1,y:!1},dataIdx:(Y,B,z)=>z},hooks:{draw:[Y=>{let B=Y.ctx,z=window.devicePixelRatio||1,D=Y.bbox,le=[1,2,5,10,20,30,60,120,300,600,1200,1800,3600,7200,10800],y=p[p.length-1];B.save(),B.fillStyle="#555564",B.textAlign="center",B.textBaseline="top",B.font=`${10*z}px system-ui, sans-serif`;let d=-100;le.forEach(a=>{if(a>y)return;let G=Y.valToPos(a,"x",!0);G>d+30*z&&G{Y.over.addEventListener("click",()=>{let B=Y.cursor.idx;if(B!=null&&p[B]!=null){let z=p[B],le=n[z].idx,y=t.points,d=Math.min(y.length-1,le+z-1),a=y[0].time||0,G=((y[le].time||a)-a)/1e3,X=((y[d].time||a)-a)/1e3;Ye.patch({sel:[G,X]}),_e.highlightSegment(t.id,y,le,d,!0)}})}],setCursor:[Y=>{if(!Y._ready)return;Y.redraw(!1);let B=Y.cursor.idx,z=Y.ctx,D=window.devicePixelRatio||1,le=Y.bbox,y=B!=null&&h[B]!=null&&Y.cursor.left>=0,d=Y.cursor.top,a=Y.valToPos(h[B],"y",!1);if(y&&Math.abs(d-a)<40){let X=Y.valToPos(p[B],"x",!1),se=Y.valToPos(h[B],"y",!1),U=p[B];F.innerHTML=`${Ft(U)}: ${h[B]} ${u}`,F.style.transform=`translate(${X}px, ${se}px) translate(15px, 15px)`,F.style.display="";let ne=Y.valToPos(p[B],"x",!0),Le=Y.valToPos(h[B],"y",!0);z.save(),z.beginPath(),z.setLineDash([2*D,2*D]),z.strokeStyle=tt(c,.4),z.lineWidth=1*D,z.moveTo(ne,le.top),z.lineTo(ne,le.top+le.height),z.stroke(),z.beginPath(),z.setLineDash([]),z.arc(ne,Le,3*D,0,Math.PI*2),z.fillStyle="#0e0e10",z.fill(),z.strokeStyle=c,z.lineWidth=2*D,z.stroke(),z.restore()}else F.style.display="none"}]},legend:{show:!1}};q.width=T||Math.round(s.getBoundingClientRect().width-42)||P.clientWidth||500;let J=new zl(q,[p,h],P);J._ready=!0,vs.push(J)}}function Ul(e,s){document.querySelectorAll(".hr-settings-popup").forEach(u=>u.remove());let t=document.createElement("div");t.className="hr-settings-popup";let n=it.getHRZones();t.innerHTML=` + `,p?.appendChild(D)}),p?.querySelectorAll(".btn-show-peak").forEach(u=>{u.addEventListener("click",x=>{let w=x.currentTarget,D=parseInt(w.dataset.idx),W=parseInt(w.dataset.len),_=t.points,C=Math.min(_.length-1,D+W-1),q=_[0].time||0,N=((_[D].time||q)-q)/1e3,ie=((_[C].time||q)-q)/1e3;Ye.patch({sel:[N,ie]}),De.highlightSegment(t.id,_,D,C,!0)})});let b=M.querySelector(`#${o}-curve-chart`);if(b){let u=P,x=P.map(_=>s[_].power||s[_].hr||s[_].val),w=document.createElement("div");w.className="cur-y-val",w.style.cssText=`color:${c};display:none;border-color:${c}44`,b.style.position="relative",b.appendChild(w);let D={id:`${o}-curve`,width:0,height:250,padding:[10,10,0,10],scales:{x:{time:!1,distr:3,auto:!0},y:{auto:!0}},series:[{},{label:a,stroke:c,width:2,fill:tt(c,.1),points:{show:!0,size:5,fill:c}}],axes:[{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},show:!0,values:()=>[],ticks:{show:!1},font:"10px system-ui, sans-serif",size:30},{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},values:(_,C)=>C.map(q=>`${q}${g}`),font:"10px system-ui, sans-serif",size:50}],cursor:{drag:{x:!1,y:!1},dataIdx:(_,C,q)=>q},hooks:{draw:[_=>{let C=_.ctx,q=window.devicePixelRatio||1,N=_.bbox,ie=[1,2,5,10,20,30,60,120,300,600,1200,1800,3600,7200,10800],y=u[u.length-1];C.save(),C.fillStyle="#555564",C.textAlign="center",C.textBaseline="top",C.font=`${10*q}px system-ui, sans-serif`;let d=-100;ie.forEach(r=>{if(r>y)return;let J=_.valToPos(r,"x",!0);J>d+30*q&&J{_.over.addEventListener("click",()=>{let C=_.cursor.idx;if(C!=null&&u[C]!=null){let q=u[C],ie=s[q].idx,y=t.points,d=Math.min(y.length-1,ie+q-1),r=y[0].time||0,J=((y[ie].time||r)-r)/1e3,U=((y[d].time||r)-r)/1e3;Ye.patch({sel:[J,U]}),De.highlightSegment(t.id,y,ie,d,!0)}})}],setCursor:[_=>{if(!_._ready)return;_.redraw(!1);let C=_.cursor.idx,q=_.ctx,N=window.devicePixelRatio||1,ie=_.bbox,y=C!=null&&x[C]!=null&&_.cursor.left>=0,d=_.cursor.top,r=_.valToPos(x[C],"y",!1);if(y&&Math.abs(d-r)<40){let U=_.valToPos(u[C],"x",!1),Q=_.valToPos(x[C],"y",!1),Y=u[C];w.innerHTML=`${Bt(Y)}: ${x[C]} ${g}`,w.style.transform=`translate(${U}px, ${Q}px) translate(15px, 15px)`,w.style.display="";let K=_.valToPos(u[C],"x",!0),Ae=_.valToPos(x[C],"y",!0);q.save(),q.beginPath(),q.setLineDash([2*N,2*N]),q.strokeStyle=tt(c,.4),q.lineWidth=1*N,q.moveTo(K,ie.top),q.lineTo(K,ie.top+ie.height),q.stroke(),q.beginPath(),q.setLineDash([]),q.arc(K,Ae,3*N,0,Math.PI*2),q.fillStyle="#0e0e10",q.fill(),q.strokeStyle=c,q.lineWidth=2*N,q.stroke(),q.restore()}else w.style.display="none"}]},legend:{show:!1}};D.width=T||Math.round(n.getBoundingClientRect().width-42)||b.clientWidth||500;let W=new qo(D,[u,x],b);W._ready=!0,zs.push(W)}}function Yo(e,n){document.querySelectorAll(".hr-settings-popup").forEach(g=>g.remove());let t=document.createElement("div");t.className="hr-settings-popup";let s=ot.getHRZones();t.innerHTML=`
Configure HR Zones (bpm)
Z1 / Z2 - +
Z2 / Z3 - +
Z3 / Z4 - +
Z4 / Z5 - +
@@ -525,12 +525,12 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams( box-shadow: 0 8px 32px rgba(0,0,0,0.6); left: ${o.right-200}px; top: ${o.bottom+8}px; - `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let u=t.querySelectorAll(".hr-zone-input"),c=Array.from(u).map(m=>parseInt(m.value)||0);for(let m=1;m{!t.contains(u.target)&&!e.contains(u.target)&&(t.remove(),document.removeEventListener("click",r))};setTimeout(()=>document.addEventListener("click",r),10)}function ql(e,s){document.querySelectorAll(".pw-settings-popup").forEach(u=>u.remove());let t=document.createElement("div");t.className="pw-settings-popup";let n=it.getFTP();t.innerHTML=` + `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let g=t.querySelectorAll(".hr-zone-input"),c=Array.from(g).map(m=>parseInt(m.value)||0);for(let m=1;m{!t.contains(g.target)&&!e.contains(g.target)&&(t.remove(),document.removeEventListener("click",a))};setTimeout(()=>document.addEventListener("click",a),10)}function jo(e,n){document.querySelectorAll(".pw-settings-popup").forEach(g=>g.remove());let t=document.createElement("div");t.className="pw-settings-popup";let s=ot.getFTP();t.innerHTML=`
Configure FTP (Watts)
Your FTP - +
@@ -545,25 +545,25 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams( box-shadow: 0 8px 32px rgba(0,0,0,0.6); left: ${o.right-200}px; top: ${o.bottom+8}px; - `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let u=t.querySelector("#ftp-input"),c=parseInt(u.value)||200;it.setFTP(c),await at.set("ftp",c),s.stats=it.computeStats(s.points,!0),await at.save(s),Bt(s),t.remove(),es(`FTP updated to ${c}W`)});let r=u=>{!t.contains(u.target)&&!e.contains(u.target)&&(t.remove(),document.removeEventListener("click",r))};setTimeout(()=>document.addEventListener("click",r),10)}import sl from"uplot";var Ct=[],zt=null,ft=null,an="power",Gt="hr",bt=null,Lt=[],Vt=[],nn=null,Pt=!1;function ts(){let e=document.getElementById("combined-time-val");if(e&&bt!==null&&Lt[bt]){let s=Lt[bt][2];e.textContent=`${ht(s)}`}}function ol(){nn&&(clearInterval(nn),nn=null),ft&&(ft.destroy(),ft=null),Ct=[],zt=null,an="power",Gt="hr",bt=null,Lt=[],Vt=[],Pt=!1;let e=document.getElementById("combined-tooltip");e&&e.remove();let s=document.getElementById("combined-view");s&&(s.innerHTML=` + `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let g=t.querySelector("#ftp-input"),c=parseInt(g.value)||200;ot.setFTP(c),await at.set("ftp",c),n.stats=ot.computeStats(n.points,!0),await at.save(n),_t(n),t.remove(),Es(`FTP updated to ${c}W`)});let a=g=>{!t.contains(g.target)&&!e.contains(g.target)&&(t.remove(),document.removeEventListener("click",a))};setTimeout(()=>document.addEventListener("click",a),10)}import Vl from"uplot";var zt=[],qt=null,ft=null,gn="power",Jt="hr",bt=null,Lt=[],Ot=[],cn=null,Pt=!1;function Ss(){let e=document.getElementById("combined-time-val");if(e&&bt!==null&&Lt[bt]){let n=Lt[bt][2];e.textContent=`${ht(n)}`}}function Yl(){cn&&(clearInterval(cn),cn=null),ft&&(ft.destroy(),ft=null),zt=[],qt=null,gn="power",Jt="hr",bt=null,Lt=[],Ot=[],Pt=!1;let e=document.getElementById("combined-tooltip");e&&e.remove();let n=document.getElementById("combined-view");n&&(n.innerHTML=`
no_sim
Select a track for combined analysis
- `)}function rn(e){Array.isArray(e)?(Ct=e,zt=e[0]||null):e?(Ct=[e],zt=e):(Ct=[],zt=null);let s=document.getElementById("combined-view");if(!s)return;let t=zt;if(!t){s.innerHTML=` + `)}var Ys=16384,qs=Array.from({length:8},()=>new Float64Array(Ys)),Us=Array.from({length:8},()=>new Float64Array(Ys)),Vs=new Int32Array(8),Os=new Float64Array(32*32),Zo=[2,3,5,8,10,12,15,20,25,30,40,45,60,75,90,120,150,180,240,300];function dn(e,n=[]){Array.isArray(e)?(zt=e,qt=e[0]||null):e?(zt=[e],qt=e):(zt=[],qt=null);let t=document.getElementById("combined-view");if(!t)return;let s=qt;if(!s){t.innerHTML=`
no_sim
Select a track for combined analysis
- `;return}let n=Me.METRICS,o=[];for(let S in n){let k=n[S];t.points.some(M=>M[k.field]!=null)&&o.push(S)}!o.includes(an)&&o.length>0&&(an=o[0]),!o.includes(Gt)&&o.length>1?Gt=o[1]:!o.includes(Gt)&&o.length>0&&(Gt=o[0]);let r=n[an],u=n[Gt];s.style.overflow="hidden";let c="";if(Ct.length>=2){let S=0,k=0,M=[2,3,5,8,10,12,15,20,25,30,40,45,60,75,90,120,150,180,240,300];for(let ne=0;ne<4;ne++)for(let Le of M)for(let Re=0;Re=Le){let de=ae[re-Le],$e=pe[re-Le];He-=(de.power||0)+(de.hr||0)+(de.speed||0),Q-=($e.power||0)+($e.hr||0)+($e.speed||0),_-=(de.cad||0)+(de.ele||0)*.1,oe-=($e.cad||0)+($e.ele||0)*.1,k+=He/Le*(Q/Le)+_/Le*(oe/Le),S++}}}let g=Ct[0],I=Ct[1],P=g.stats,p=I.stats,h=((p.totalDist-P.totalDist)/1e3).toFixed(2),F=((p.avgPower||0)-(P.avgPower||0)).toFixed(0),q=((p.avgHR||0)-(P.avgHR||0)).toFixed(0),J=(p.elevGain-P.elevGain).toFixed(0),Y=(p.shifts||0)-(P.shifts||0),B=((P.totalDist+p.totalDist)/1e3).toFixed(2),z=(P.elevGain+p.elevGain).toFixed(0),D=((P.duration||0)+(p.duration||0))/1e3,le=Math.round(((P.avgPower||0)+(p.avgPower||0))/2),y=Math.max(P.maxPower||0,p.maxPower||0),d=Math.round(((P.avgHR||0)+(p.avgHR||0))/2),a=Math.max(P.maxHR||0,p.maxHR||0),G=((p.avgTemp??0)-(P.avgTemp??0)).toFixed(1),X=(((P.avgTemp??0)+(p.avgTemp??0))/2).toFixed(1),se=Math.max(P.maxTemp??0,p.maxTemp??0).toFixed(1),U=(P.shifts||0)+(p.shifts||0);c=` -
+ `;return}let o=Se.METRICS,a=[];for(let E in o){let k=o[E];s.points.some(p=>p[k.field]!=null)&&a.push(E)}!a.includes(gn)&&a.length>0&&(gn=a[0]),!a.includes(Jt)&&a.length>1?Jt=a[1]:!a.includes(Jt)&&a.length>0&&(Jt=a[0]);let g=o[gn],c=o[Jt];t.style.overflow="hidden";let m="";if(zt.length>=2){let E=n.length>=2?n:zt,k=Math.min(E.length,8);Os.fill(0);for(let me=0;me=oe){let A=be-oe;He-=G[A],Ce-=te[A],Re-=F[A],le-=Ie[A];let ne=He*de,Ne=Ce*de,j=Re*de,_e=le*de,we=ne-Ne,Ee=j-_e,ke=Math.exp(-we*we*xe),ve=Math.exp(-Ee*Ee*xe);P+=ne*Ne*ke+j*_e*ve,p++}}}}for(let me=0;me<1024;me++)P+=Os[me]*.001;let b=zt[0],u=zt[1],x=b.stats,w=u.stats,D=((w.totalDist-x.totalDist)/1e3).toFixed(2),W=((w.avgPower||0)-(x.avgPower||0)).toFixed(0),_=((w.avgHR||0)-(x.avgHR||0)).toFixed(0),C=(w.elevGain-x.elevGain).toFixed(0),q=(w.shifts||0)-(x.shifts||0),N=((x.totalDist+w.totalDist)/1e3).toFixed(2),ie=(x.elevGain+w.elevGain).toFixed(0),y=((x.duration||0)+(w.duration||0))/1e3,d=Math.round(((x.avgPower||0)+(w.avgPower||0))/2),r=Math.max(x.maxPower||0,w.maxPower||0),J=Math.round(((x.avgHR||0)+(w.avgHR||0))/2),U=Math.max(x.maxHR||0,w.maxHR||0),Q=((w.avgTemp??0)-(x.avgTemp??0)).toFixed(1),Y=(((x.avgTemp??0)+(w.avgTemp??0))/2).toFixed(1),K=Math.max(x.maxTemp??0,w.maxTemp??0).toFixed(1),Ae=(x.shifts||0)+(w.shifts||0);m=` +
Aggregate Track Comparison & Analysis
- - + + @@ -571,64 +571,64 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams( - - - - + + + + - - - - + + + + - - + + - + - - - - + + + + - - - - + + + + - - - - + + + + - - - - + + + +
Metric${g.displayName||g.name} (T1)${I.displayName||I.name} (T2)${b.displayName||b.name} (T1)${u.displayName||u.name} (T2) Delta (T2 - T1) Aggregate Summary
Distance${(P.totalDist/1e3).toFixed(2)} km${(p.totalDist/1e3).toFixed(2)} km${Number(h)>=0?"+":""}${h} km${B} km (Total)${(x.totalDist/1e3).toFixed(2)} km${(w.totalDist/1e3).toFixed(2)} km${Number(D)>=0?"+":""}${D} km${N} km (Total)
Elevation Gain${P.elevGain.toFixed(0)} m${p.elevGain.toFixed(0)} m${Number(J)>=0?"+":""}${J} m${z} m (Total)${x.elevGain.toFixed(0)} m${w.elevGain.toFixed(0)} m${Number(C)>=0?"+":""}${C} m${ie} m (Total)
Duration${P.duration?ht(P.duration/1e3):"--"}${p.duration?ht(p.duration/1e3):"--"}${x.duration?ht(x.duration/1e3):"--"}${w.duration?ht(w.duration/1e3):"--"} --${ht(D)} (Total)${ht(y)} (Total)
Avg / Max Power${P.avgPower||0} W / ${P.maxPower||0} W${p.avgPower||0} W / ${p.maxPower||0} W${Number(F)>=0?"+":""}${F} W (Avg)${le} W (Avg) / ${y} W (Max)${x.avgPower||0} W / ${x.maxPower||0} W${w.avgPower||0} W / ${w.maxPower||0} W${Number(W)>=0?"+":""}${W} W (Avg)${d} W (Avg) / ${r} W (Max)
Avg / Max HR${P.avgHR||0} bpm / ${P.maxHR||0} bpm${p.avgHR||0} bpm / ${p.maxHR||0} bpm${Number(q)>=0?"+":""}${q} bpm (Avg)${d} bpm (Avg) / ${a} bpm (Max)${x.avgHR||0} bpm / ${x.maxHR||0} bpm${w.avgHR||0} bpm / ${w.maxHR||0} bpm${Number(_)>=0?"+":""}${_} bpm (Avg)${J} bpm (Avg) / ${U} bpm (Max)
Avg / Max Temp${P.avgTemp!=null?P.avgTemp.toFixed(1):"--"} \xB0C / ${P.maxTemp!=null?P.maxTemp.toFixed(1):"--"} \xB0C${p.avgTemp!=null?p.avgTemp.toFixed(1):"--"} \xB0C / ${p.maxTemp!=null?p.maxTemp.toFixed(1):"--"} \xB0C${Number(G)>=0?"+":""}${G} \xB0C (Avg)${X} \xB0C (Avg) / ${se} \xB0C (Max)${x.avgTemp!=null?x.avgTemp.toFixed(1):"--"} \xB0C / ${x.maxTemp!=null?x.maxTemp.toFixed(1):"--"} \xB0C${w.avgTemp!=null?w.avgTemp.toFixed(1):"--"} \xB0C / ${w.maxTemp!=null?w.maxTemp.toFixed(1):"--"} \xB0C${Number(Q)>=0?"+":""}${Q} \xB0C (Avg)${Y} \xB0C (Avg) / ${K} \xB0C (Max)
Gear Shifts${P.shifts||0}${p.shifts||0}${Y>=0?"+":""}${Y}${U} (Total)${x.shifts||0}${w.shifts||0}${q>=0?"+":""}${q}${Ae} (Total)
- `}s.innerHTML=`${c} + `}t.innerHTML=`${m}
arrow_forward X Axis:
@@ -636,8 +636,8 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams( arrow_upward Y Axis:
@@ -660,35 +660,35 @@ var Ye=(()=>{let e={},s=null,t=null,n=!1;function o(){let b=new URLSearchParams(
- `,document.getElementById("btn-combined-x")?.addEventListener("click",S=>{S.stopPropagation(),ll(S.currentTarget,"x")}),document.getElementById("btn-combined-y")?.addEventListener("click",S=>{S.stopPropagation(),ll(S.currentTarget,"y")});let m=document.getElementById("combined-time-slider"),T=document.getElementById("combined-time-val"),b=document.getElementById("btn-combined-play");m?.addEventListener("input",()=>{bt=parseInt(m.value,10),ts(),ft&&ft.redraw()});function w(){b&&(b.innerHTML='pause'),nn=window.setInterval(()=>{bt!==null&&btplay_arrow')}b?.addEventListener("click",()=>{nn?R():(bt!==null&&bt>=Lt.length-1&&(bt=0,m.value="0",ts(),ft&&ft.redraw()),w())}),document.getElementById("btn-combined-cart")?.addEventListener("click",()=>{Pt&&(Pt=!1,rn(zt))}),document.getElementById("btn-combined-polar")?.addEventListener("click",()=>{Pt||(Pt=!0,rn(zt))}),Vl()}function yn(){let e=document.getElementById("tab-combined"),s=document.getElementById("combined-plot-container");if(ft&&s&&s.clientWidth>0){let t=s.clientWidth,n=s.clientHeight;if(t>0&&n>0)if(Pt){let o=Math.min(t,n);ft.setSize({width:o,height:o})}else ft.setSize({width:t,height:n})}}function ll(e,s){document.querySelectorAll(".metric-menu-popup").forEach(m=>m.remove());let t=document.createElement("div");t.className="metric-menu-popup";let n=Me.METRICS,o=zt;if(!o)return;let r=[];for(let m in n){let T=n[m];o.points.some(b=>b[T.field]!=null)&&r.push(m)}r.forEach(m=>{let T=n[m],b=document.createElement("div"),w=s==="x"?an:Gt;b.className=`menu-item ${w===m?"active":""}`,b.innerHTML=` + `,document.getElementById("btn-combined-x")?.addEventListener("click",E=>{E.stopPropagation(),Ol(E.currentTarget,"x")}),document.getElementById("btn-combined-y")?.addEventListener("click",E=>{E.stopPropagation(),Ol(E.currentTarget,"y")});let T=document.getElementById("combined-time-slider"),f=document.getElementById("combined-time-val"),M=document.getElementById("btn-combined-play");T?.addEventListener("input",()=>{bt=parseInt(T.value,10),Ss(),ft&&ft.redraw()});function O(){M&&(M.innerHTML='pause'),cn=window.setInterval(()=>{bt!==null&&btplay_arrow')}M?.addEventListener("click",()=>{cn?H():(bt!==null&&bt>=Lt.length-1&&(bt=0,T.value="0",Ss(),ft&&ft.redraw()),O())}),document.getElementById("btn-combined-cart")?.addEventListener("click",()=>{Pt&&(Pt=!1,dn(qt))}),document.getElementById("btn-combined-polar")?.addEventListener("click",()=>{Pt||(Pt=!0,dn(qt))}),Go()}function Yn(){let e=document.getElementById("tab-combined"),n=document.getElementById("combined-plot-container");if(ft&&n&&n.clientWidth>0){let t=n.clientWidth,s=n.clientHeight;if(t>0&&s>0)if(Pt){let o=Math.min(t,s);ft.setSize({width:o,height:o})}else ft.setSize({width:t,height:s})}}function Ol(e,n){document.querySelectorAll(".metric-menu-popup").forEach(m=>m.remove());let t=document.createElement("div");t.className="metric-menu-popup";let s=Se.METRICS,o=qt;if(!o)return;let a=[];for(let m in s){let T=s[m];o.points.some(f=>f[T.field]!=null)&&a.push(m)}a.forEach(m=>{let T=s[m],f=document.createElement("div"),M=n==="x"?gn:Jt;f.className=`menu-item ${M===m?"active":""}`,f.innerHTML=` ${T.icon} ${T.label} - ${w===m?"check":""} - `,b.addEventListener("click",()=>{s==="x"?an=m:Gt=m,t.remove(),rn(zt)}),t.appendChild(b)});let u=e.getBoundingClientRect();t.style.top=`${u.bottom+5}px`,t.style.left=`${u.left}px`,document.body.appendChild(t);let c=m=>{!t.contains(m.target)&&!e.contains(m.target)&&(t.remove(),document.removeEventListener("click",c))};setTimeout(()=>document.addEventListener("click",c),0)}function Vl(){if(!zt)return;let e=document.getElementById("combined-plot-container");if(!e)return;let s=Me.METRICS,t=s[an]||s.power,n=s[Gt]||s.hr;if(Ct.length>=2){let k=Ct[0],M=Ct[1],g=k.points,I=M.points,P=Math.max(g.length,I.length),p=[],h=[],F=[];for(let B=0;B0?e.clientWidth:800,J=e.clientHeight>0?e.clientHeight:350,Y={width:q,height:J,padding:[10,15,0,0],scales:{x:{time:!1},y:{auto:!0}},series:[{},{label:`${k.displayName||k.name} (${n.label})`,stroke:k.color||"#3b82f6",width:2,points:{show:!1}},{label:`${M.displayName||M.name} (${n.label})`,stroke:M.color||"#FF6B35",width:2,points:{show:!1}}],axes:[{side:2,label:"Elapsed Duration (s)",stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",size:30},{side:3,label:`${n.label} (${n.unit})`,stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",size:40}],legend:{show:!0}};ft=new sl(Y,[p,h,F],e),yn();return}let o=zt.points,r=o[0].time||0,u=o.map((k,M)=>[k[t.field],k[n.field],(k.time-r)/1e3,(k.dist||0)/1e3,M]).filter(([k,M,g,I])=>k!=null&&M!=null);if(u.length===0){e.innerHTML='
No data for selected metrics
';return}if(Pt){let k=u.map(h=>h[0]),M=u.map(h=>h[1]),g=Math.min(...k),I=Math.max(...k),P=Math.min(...M),p=Math.max(...M);Lt=u.map(h=>{let F=h[0],q=h[1],J=(F-g)/(I-g||1)*2*Math.PI,Y=(q-P)/(p-P||1),B=Y*Math.cos(J),z=Y*Math.sin(J);return[B,z,h[2],h[3],h[4],F,q]})}else Lt=u.map(k=>[k[0],k[1],k[2],k[3],k[4],k[0],k[1]]);let c=document.getElementById("combined-time-slider");c&&(c.max=`${u.length-1}`,(bt===null||bt>=u.length)&&(bt=u.length-1,c.value=c.max),ts()),Vt=[...Lt].sort((k,M)=>k[0]-M[0]||k[4]-M[4]);let m=Vt.map(k=>k[0]),T=Vt.map(k=>k[1]),b=document.getElementById("combined-plot-container"),w=b&&b.clientWidth>0?b.clientWidth:600,R=b&&b.clientHeight>0?b.clientHeight:400;if(Pt){let k=Math.min(w,R>0?R:w);w=k,R=k,b&&(b.style.display="flex",b.style.alignItems="center",b.style.justifyContent="center")}else b&&(b.style.display="",b.style.alignItems="",b.style.justifyContent="");let S={width:w,height:R,padding:[10,15,0,0],scales:{x:{time:!1,auto:!0},y:{auto:!0}},series:[{},{label:n.label,width:0,points:{show:!0,size:3,fill:tt(n.color,.3)}}],axes:[{side:2,show:!Pt,label:`${t.label} (${t.unit})`,stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",values:(k,M)=>M.map(g=>g!=null?t.fmtAxis(g):""),size:30},{side:3,show:!Pt,label:`${n.label} (${n.unit})`,stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",values:(k,M)=>M.map(g=>g!=null?n.fmtAxis(g):""),size:40}],cursor:{drag:{x:!1,y:!1},dataIdx:(k,M,g)=>{let I=k.cursor.left,P=k.cursor.top;if(I!=null&&P!=null&&I>=0&&P>=0){let p=1/0,h=-1;for(let F=0;F=0&&p<2500)return h}return g},points:{size:7,stroke:"#fff",width:2,fill:n.color}},legend:{show:!1},hooks:{draw:[k=>{let M=k.ctx,g=window.devicePixelRatio||1;M.save(),M.beginPath(),M.strokeStyle="rgba(255, 255, 255, 0.15)",M.lineWidth=1*g;let I=!1;for(let P=0;P{let M=k.cursor.idx,g=document.getElementById("combined-tooltip");if(g||(g=document.createElement("div"),g.id="combined-tooltip",g.style.position="absolute",g.style.background="rgba(14, 14, 16, 0.9)",g.style.color="#fff",g.style.padding="8px 12px",g.style.borderRadius="4px",g.classList.add("font-m"),g.style.fontFamily="system-ui",g.style.pointerEvents="none",g.style.zIndex="1000",g.style.boxShadow="0 4px 6px rgba(0,0,0,0.3)",g.style.border="1px solid #2e2e34",document.body.appendChild(g)),M!=null&&Vt[M]&&k.cursor.left>=0){let I=Vt[M],P=I[2],p=I[3],h=I[5],F=I[6];g.innerHTML=` -
Point #${M}
+ ${M===m?"check":""} + `,f.addEventListener("click",()=>{n==="x"?gn=m:Jt=m,t.remove(),dn(qt)}),t.appendChild(f)});let g=e.getBoundingClientRect();t.style.top=`${g.bottom+5}px`,t.style.left=`${g.left}px`,document.body.appendChild(t);let c=m=>{!t.contains(m.target)&&!e.contains(m.target)&&(t.remove(),document.removeEventListener("click",c))};setTimeout(()=>document.addEventListener("click",c),0)}function Go(){if(!qt)return;let e=document.getElementById("combined-plot-container");if(!e)return;let n=Se.METRICS,t=n[gn]||n.power,s=n[Jt]||n.hr;if(zt.length>=2){let E=zt[0],k=zt[1],p=E.points,P=k.points,b=Math.max(p.length,P.length),u=[],x=[],w=[];for(let C=0;C0?e.clientWidth:800,W=e.clientHeight>0?e.clientHeight:350,_={width:D,height:W,padding:[10,15,0,0],scales:{x:{time:!1},y:{auto:!0}},series:[{},{label:`${E.displayName||E.name} (${s.label})`,stroke:E.color||"#3b82f6",width:2,points:{show:!1}},{label:`${k.displayName||k.name} (${s.label})`,stroke:k.color||"#FF6B35",width:2,points:{show:!1}}],axes:[{side:2,label:"Elapsed Duration (s)",stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",size:30},{side:3,label:`${s.label} (${s.unit})`,stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",size:40}],legend:{show:!0}};ft=new Vl(_,[u,x,w],e),Yn();return}let o=qt.points,a=o[0].time||0,g=o.map((E,k)=>[E[t.field],E[s.field],(E.time-a)/1e3,(E.dist||0)/1e3,k]).filter(([E,k,p,P])=>E!=null&&k!=null);if(g.length===0){e.innerHTML='
No data for selected metrics
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Time: - ${ht(P)} + ${ht(b)}
Distance: - ${p.toFixed(2)} km + ${u.toFixed(2)} km
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- `}var wn=[];function dl(){wn.forEach(e=>e.destroy()),wn=[]}function ul(){dl();let e=document.getElementById("evolution-view");e&&(e.innerHTML=` + `}var An=[];function to(){An.forEach(e=>e.destroy()),An=[]}function no(){to();let e=document.getElementById("evolution-view");e&&(e.innerHTML=`
no_sim
Select a track for progress analysis
- `)}function Tn(e,s,t,n){dl();let o=document.getElementById("evolution-view");if(!o)return;let r=Ye.get().progress||"all";s.forEach(h=>{it.ensureCurvesAndZones(h)});let u=0,c=0,m=2/8,T=2/43;s.forEach(h=>{let F=h.points||[],q=0,J=0;for(let Y=0;Y{ot.ensureCurvesAndZones(b)});let g=0,c=0;js.fill(0);for(let b=0;bx)continue;let q=x-C,N=0,ie=0,y=0;for(let d=0;d<=q;d++){let r=jn[d+C]-jn[d],J=hn[d+C]-hn[d],U=Ms[d+C]-Ms[d];r>N&&(N=r),J>ie&&(ie=J),U>y&&(y=U)}c+=(N+ie+y)/C*W*.001}}for(let D=0;D<11;D++)for(let W=0;W
- - - -
- - - - - - + + + + + +
- `;let w=document.getElementById("evolution-container");if(!w)return;let R=w.clientWidth||570,S=xn.sync("progress-sync");b.push(cl(w,s,"distance",S,n,R)),b.push(cl(w,s,"elevation",S,n,R));let k=w.querySelector(".distance-progress-card .chart-scroll-container"),M=w.querySelector(".elevation-progress-card .chart-scroll-container");k&&M&&(k.addEventListener("scroll",()=>{M.scrollLeft!==k.scrollLeft&&(M.scrollLeft=k.scrollLeft)}),M.addEventListener("scroll",()=>{k.scrollLeft!==M.scrollLeft&&(k.scrollLeft=M.scrollLeft)}));let g=o.querySelector("#evolution-time-range");g&&g.querySelectorAll(".seg-btn").forEach(h=>{h.addEventListener("click",()=>{let F=h.getAttribute("data-range");F&&(g.querySelectorAll(".seg-btn").forEach(q=>q.classList.remove("active")),h.classList.add("active"),p(F))})}),o.querySelectorAll(".metric-pill").forEach(h=>{h.addEventListener("click",()=>{let F=h.getAttribute("data-target");F&&document.getElementById(`${F}-evolution-card`)?.scrollIntoView({behavior:"smooth"})})});function P(h){b.forEach(F=>{F&&F.updatePin&&F.updatePin(h)})}function p(h){Ye.patch({progress:h==="all"?null:h}),b.forEach(F=>{F&&F.updateRange&&F.updateRange(h)})}if(s.some(h=>h.stats.powerCurve)){let h=rl({grid:w,currentTrack:e,allTracks:s,metricKey:"power",label:"Power Curve Progress",unit:"W",color:De.power.color,icon:"bolt",onPinChange:P,onRangeChange:p,onTrackSelect:t,gridWidth:R});b.push(h)}if(s.some(h=>h.stats.hrCurve)){let h=rl({grid:w,currentTrack:e,allTracks:s,metricKey:"hr",label:"Heart Rate Curve Progress",unit:"bpm",color:De.hr.color,icon:"favorite",onPinChange:P,onRangeChange:p,onTrackSelect:t,gridWidth:R});b.push(h)}r!=="all"&&b.forEach(h=>{h&&h.updateRange&&h.updateRange(r)}),wn.forEach(h=>{h._ready=!0})}function rl(e){let{grid:s,currentTrack:t,allTracks:n,metricKey:o,label:r,unit:u,color:c,icon:m,onPinChange:T,onRangeChange:b,onTrackSelect:w,gridWidth:R}=e,S=t&&t.name||"Current Track",k=null,M=document.createElement("div");M.className="chart-row evolution-card-group",M.id=`${o}-evolution-card`,s.appendChild(M);let g=document.createElement("div");g.className="chart-row progress-chart-row",g.style.setProperty("--chart-color",c),g.style.flex="0 0 400px",g.style.borderBottom="none",g.innerHTML=` + `;let T=document.getElementById("evolution-container");if(!T)return;let f=T.clientWidth||570,M=Pn.sync("progress-sync");m.push(eo(T,n,"distance",M,s,f)),m.push(eo(T,n,"elevation",M,s,f));let O=T.querySelector(".distance-progress-card .chart-scroll-container"),H=T.querySelector(".elevation-progress-card .chart-scroll-container");O&&H&&(O.addEventListener("scroll",()=>{H.scrollLeft!==O.scrollLeft&&(H.scrollLeft=O.scrollLeft)}),H.addEventListener("scroll",()=>{O.scrollLeft!==H.scrollLeft&&(O.scrollLeft=H.scrollLeft)}));let E=o.querySelector("#evolution-time-range");E&&E.querySelectorAll(".seg-btn").forEach(b=>{b.addEventListener("click",()=>{let u=b.getAttribute("data-range");u&&(E.querySelectorAll(".seg-btn").forEach(x=>x.classList.remove("active")),b.classList.add("active"),P(u))})}),o.querySelectorAll(".metric-pill").forEach(b=>{b.addEventListener("click",()=>{let u=b.getAttribute("data-target");u&&document.getElementById(`${u}-evolution-card`)?.scrollIntoView({behavior:"smooth"})})});function p(b){m.forEach(u=>{u&&u.updatePin&&u.updatePin(b)})}function P(b){Ye.patch({progress:b==="all"?null:b}),m.forEach(u=>{u&&u.updateRange&&u.updateRange(b)})}if(n.some(b=>b.stats.powerCurve)){let b=Kl({grid:T,currentTrack:e,allTracks:n,metricKey:"power",label:"Power Curve Progress",unit:"W",color:We.power.color,icon:"bolt",onPinChange:p,onRangeChange:P,onTrackSelect:t,gridWidth:f});m.push(b)}if(n.some(b=>b.stats.hrCurve)){let b=Kl({grid:T,currentTrack:e,allTracks:n,metricKey:"hr",label:"Heart Rate Curve Progress",unit:"bpm",color:We.hr.color,icon:"favorite",onPinChange:p,onRangeChange:P,onTrackSelect:t,gridWidth:f});m.push(b)}a!=="all"&&m.forEach(b=>{b&&b.updateRange&&b.updateRange(a)}),An.forEach(b=>{b._ready=!0})}function Kl(e){let{grid:n,currentTrack:t,allTracks:s,metricKey:o,label:a,unit:g,color:c,icon:m,onPinChange:T,onRangeChange:f,onTrackSelect:M,gridWidth:O}=e,H=t&&t.name||"Current Track",E=null,k=document.createElement("div");k.className="chart-row evolution-card-group",k.id=`${o}-evolution-card`,n.appendChild(k);let p=document.createElement("div");p.className="chart-row progress-chart-row",p.style.setProperty("--chart-color",c),p.style.flex="0 0 400px",p.style.borderBottom="none",p.innerHTML=`
${m} - ${r} + ${a}
- `;let I=document.createElement("div");I.className="evolution-legend",I.innerHTML=` + `;let P=document.createElement("div");P.className="evolution-legend",P.innerHTML=`
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All-Time Max
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${r.name}: ${r.reason}
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Click to view details.`)}return}let S=document.getElementById("loader-filename"),k=null;if(o){o.innerHTML='',k=o.querySelector(".progress-index");let I=o.querySelector(".progress-total");I&&(I.textContent=w.length.toString())}for(let I=0;Ia.fileName===P.name&&a.fileSize===P.size)){Tt.push({name:P.name,reason:"Same File"}),c();continue}let q=p.stats.startTime,J=p.stats.duration;if(q!=null&&J!=null){let a=q+J,G=h.filter(se=>se.stats.startTime!=null&&Zl(q,se.stats.startTime)),X=!1;for(let se of G){let U=se.stats.startTime,ne=se.stats.duration,Le=U+ne;if(q>=U&&a<=Le){Tt.push({name:P.name,reason:"Fully contained in another track"}),c(),X=!0;break}if(Math.min(a,Le)-Math.max(q,U)>6e5){Tt.push({name:P.name,reason:"Overlaps with an existing track for more than 10 mins"}),c(),X=!0;break}}if(X)continue}let Y=17855424e5,B=Ds(p.stats.startTime||Y);ze[B]&&(B+=`-${Rs()}`);let z=p.name;(z.startsWith("Unnamed")||z.startsWith("Fit Activity"))&&(z=P.name);let D=z,le=p.points[0]?.time,y=p.sport?p.sport.charAt(0).toUpperCase()+p.sport.slice(1):"Activity";if(le){let a=new Date(le);D=`${a.getUTCFullYear()}-${String(a.getUTCMonth()+1).padStart(2,"0")}-${String(a.getUTCDate()).padStart(2,"0")} ${y}`}else D=z.replace(/\.[^/.]+$/,"").replace(/_/g," ");let d={...p,id:B,name:z,displayName:D,fileName:P.name,fileSize:P.size,bounds:ms(p.points)||void 0,simplifiedPoints:ps(p.points,50),addedAt:p.stats.startTime||Y,visible:!0,color:ss[Dn%ss.length]};if(Dn++,Sn)break;await at.save(d),ze[B]=d,_e.addTrack(d),T||(T=B),m++,b++,b>=5&&(b=0)}catch(p){Tt.push({name:P.name,reason:`Parse error: ${p instanceof Error?p.message:String(p)}`}),c()}}let M=document.getElementById("import-warning");M&&(Tt.length>0?(M.classList.remove("hidden"),M.title=`Skipped ${Tt.length} imports. Click to view details.`):M.classList.add("hidden"));let g=Tt.length>s;if(!g&&t&&t.classList.add("hidden"),m>0&&(ls(`Imported ${m} track${m>1?"s":""}`),kt(!!T&&T!==Oe),T&&Mt(T)),g){let I=document.querySelector(".loader-icon-wrap span");I&&(I.textContent="warning"),await new Promise(P=>setTimeout(P,1500))}}finally{t&&t.classList.add("hidden")}}function po(){let e=document.getElementById("metric-pills");if(!e)return;let s=null;e.addEventListener("dragstart",t=>{let n=t.target.closest(".metric-pill");n&&(s=n,t.dataTransfer.effectAllowed="move",n.classList.add("dragging-pill"),setTimeout(()=>n.style.opacity="0.4",0))}),e.addEventListener("dragover",t=>{t.preventDefault(),t.dataTransfer.dropEffect="move";let n=t.target.closest(".metric-pill");if(n&&n!==s){let o=n.getBoundingClientRect(),r=t.clientX-o.left>o.width/2;e.insertBefore(s,r?n.nextSibling:n)}}),e.addEventListener("dragend",()=>{if(!s)return;s.classList.remove("dragging-pill"),s.style.opacity="",s=null;let t=Array.from(e.querySelectorAll(".metric-pill")).map(n=>n.dataset.metric);Me.updateMetricOrder(t),ys()})}function kn(){let e=document.getElementById("chart-toolbar"),s=document.getElementById("metric-pills");if(!e||!s)return;e.classList.remove("collapsed");let t=Math.max(0,e.clientWidth-280),n=0,o=!1;Array.from(s.children).forEach(u=>{let c=u;if(c.id==="pill-overflow"||(c.classList.remove("overflow-hidden"),!c.classList.contains("active")))return;let T=36+(c.dataset.metric||"").length*6;n+=T+6,n>t&&(o=!0,c.classList.add("overflow-hidden"))});let r=document.getElementById("pill-overflow");r&&r.classList.toggle("hidden",!o),o&&e.classList.add("collapsed")}document.addEventListener("DOMContentLoaded",Jl);export{Mt as selectTrack}; + `,document.body.appendChild(e);let t=e.querySelector(".modal-btn.cancel"),s=e.querySelector(".modal-btn.clear"),o=()=>e.remove();t.addEventListener("click",o),s.addEventListener("click",()=>{Tt=[],o();let a=document.getElementById("import-warning");a&&a.classList.add("hidden")}),e.addEventListener("click",a=>{a.target===e&&o()})}function hi(){let e=document.getElementById("drop-zone");if(!e)return;let n=document.getElementById("import-warning");n&&n.addEventListener("click",t=>{t.stopPropagation(),gi()}),window.addEventListener("dragover",t=>{t.preventDefault(),e.classList.add("drop-active")}),window.addEventListener("dragleave",t=>{t.relatedTarget===null&&e.classList.remove("drop-active")}),window.addEventListener("drop",async t=>{t.preventDefault(),e.classList.remove("drop-active");let s=t.dataTransfer?.items;if(!s)return;let o=[],a=[];for(let c=0;cc.file(T));o.push(m)}else if(c.isDirectory){let m=c.createReader(),T=[],f;do f=await new Promise(M=>m.readEntries(M)),T.push(...f);while(f.length>0);for(let M of T)await g(M)}}for(let c of a)await g(c);o.length&&$s(o)})}async function $s(e){if(!e.length)return;Fn=!1;let n=Tt.length,t=document.getElementById("global-loader"),s=document.getElementById("loader-text"),o=document.getElementById("loader-subtext"),a=document.getElementById("loader-progress-bar"),g=document.getElementById("loader-close");g&&g.addEventListener("click",()=>{Fn=!0,t&&t.classList.add("hidden")});function c(){let m=document.querySelector(".loader-icon-wrap span");m&&(m.textContent="warning",m.style.color="#f59e0b");let T=document.getElementById("loader-warning-count");if(T){let f=Tt.length-n,M=T.querySelector("span");M&&(M.textContent=`${f}`),T.style.display="flex"}}if(t){s&&(s.textContent=`Importing ${e.length} file${e.length>1?"s":""}`);let m=document.querySelector(".loader-icon-wrap span");m&&(m.textContent="download",m.style.color="var(--accent)");let T=document.getElementById("loader-warning-count");if(T){T.style.display="none";let f=T.querySelector("span");f&&(f.textContent="0")}o&&(o.textContent=""),a&&(a.style.width="0%"),t.classList.remove("hidden"),Tt.length>n&&c()}try{let m=0,T=null,f=0,M=e.filter(P=>{let b=P.name.toLowerCase();return b.endsWith(".gpx")||b.endsWith(".fit")||b.endsWith(".tcx")||b.endsWith(".kml")});if(e.filter(P=>!M.includes(P)).forEach(P=>{Tt.push({name:P.name,reason:"Unsupported file format"})}),M.length===0){if(e.length>0){Cs("No valid GPS files found","error");let P=document.getElementById("import-warning");P&&Tt.length>0&&(P.classList.remove("hidden"),P.title=`Skipped ${Tt.length} imports. Click to view details.`)}return}let H=document.getElementById("loader-filename"),E=null;if(o){o.innerHTML='',E=o.querySelector(".progress-index");let P=o.querySelector(".progress-total");P&&(P.textContent=M.length.toString())}for(let P=0;Pr.fileName===b.name&&r.fileSize===b.size)){Tt.push({name:b.name,reason:"Same File"}),c();continue}let D=u.stats.startTime,W=u.stats.duration;if(D!=null&&W!=null){let r=D+W,J=x.filter(Q=>Q.stats.startTime!=null&&Ko(D,Q.stats.startTime)),U=!1;for(let Q of J){let Y=Q.stats.startTime,K=Q.stats.duration,Ae=Y+K;if(D>=Y&&r<=Ae){Tt.push({name:b.name,reason:"Fully contained in another track"}),c(),U=!0;break}if(Math.min(r,Ae)-Math.max(D,Y)>6e5){Tt.push({name:b.name,reason:"Overlaps with an existing track for more than 10 mins"}),c(),U=!0;break}}if(U)continue}let _=17855424e5,C=pl(u.stats.startTime||_);ze[C]&&(C+=`-${fl()}`);let q=u.name;(q.startsWith("Unnamed")||q.startsWith("Fit Activity"))&&(q=b.name);let N=q,ie=u.points[0]?.time,y=u.sport?u.sport.charAt(0).toUpperCase()+u.sport.slice(1):"Activity";if(ie){let r=new Date(ie);N=`${r.getUTCFullYear()}-${String(r.getUTCMonth()+1).padStart(2,"0")}-${String(r.getUTCDate()).padStart(2,"0")} ${y}`}else N=q.replace(/\.[^/.]+$/,"").replace(/_/g," ");let d={...u,id:C,name:q,displayName:N,fileName:b.name,fileSize:b.size,bounds:hs(u.points)||void 0,simplifiedPoints:bs(u.points,50),addedAt:u.stats.startTime||_,visible:!0,color:Jn[Qn%Jn.length]};if(Qn++,Fn)break;await at.save(d),ze[C]=d,De.addTrack(d),T||(T=C),m++,f++,f>=5&&(f=0)}catch(u){Tt.push({name:b.name,reason:`Parse error: ${u instanceof Error?u.message:String(u)}`}),c()}}let k=document.getElementById("import-warning");k&&(Tt.length>0?(k.classList.remove("hidden"),k.title=`Skipped ${Tt.length} imports. Click to view details.`):k.classList.add("hidden"));let p=Tt.length>n;if(!p&&t&&t.classList.add("hidden"),m>0&&(Cs(`Imported ${m} track${m>1?"s":""}`),kt(!!T&&T!==Oe),T&&Mt(T)),p){let P=document.querySelector(".loader-icon-wrap span");P&&(P.textContent="warning"),await new Promise(b=>setTimeout(b,1500))}}finally{t&&t.classList.add("hidden")}}function bi(){let e=document.getElementById("metric-pills");if(!e)return;let n=null;e.addEventListener("dragstart",t=>{let s=t.target.closest(".metric-pill");s&&(n=s,t.dataTransfer.effectAllowed="move",s.classList.add("dragging-pill"),setTimeout(()=>s.style.opacity="0.4",0))}),e.addEventListener("dragover",t=>{t.preventDefault(),t.dataTransfer.dropEffect="move";let s=t.target.closest(".metric-pill");if(s&&s!==n){let o=s.getBoundingClientRect(),a=t.clientX-o.left>o.width/2;e.insertBefore(n,a?s.nextSibling:s)}}),e.addEventListener("dragend",()=>{if(!n)return;n.classList.remove("dragging-pill"),n.style.opacity="",n=null;let t=Array.from(e.querySelectorAll(".metric-pill")).map(s=>s.dataset.metric);Se.updateMetricOrder(t),Zs()})}function Bn(){let e=document.getElementById("chart-toolbar"),n=document.getElementById("metric-pills");if(!e||!n)return;e.classList.remove("collapsed");let t=Math.max(0,e.clientWidth-280),s=0,o=!1;Array.from(n.children).forEach(g=>{let c=g;if(c.id==="pill-overflow"||(c.classList.remove("overflow-hidden"),!c.classList.contains("active")))return;let T=36+(c.dataset.metric||"").length*6;s+=T+6,s>t&&(o=!0,c.classList.add("overflow-hidden"))});let a=document.getElementById("pill-overflow");a&&a.classList.toggle("hidden",!o),o&&e.classList.add("collapsed")}document.addEventListener("DOMContentLoaded",ni);export{Mt as selectTrack}; //# sourceMappingURL=tools-gps-tracks.mjs.map diff --git a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map index 50e5f9f953..9c96acb43e 100644 --- a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map +++ b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["../src/url-state.ts", "../src/storage.ts", "../src/parsers.ts", "../src/utils.ts", "../src/map.ts", "../src/charts.ts", "../src/zones.ts", "../src/metrics.ts", "../src/sports.ts", "../src/tabs/details.ts", "../src/tabs/insights.ts", "../src/tabs/courses.ts", "../src/tabs/combined.ts", "../src/tabs/progress.ts", "../src/tabs/accumulated_progress.ts", "../src/app.ts"], - "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 URL State \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n// Handles reading/writing application state to the URL.\n// Uses an incremental \"patch\" approach to preserve existing params.\n\nexport interface AppState {\n track?: string;\n map?: string;\n xaxis?: string;\n metrics?: string[];\n f_date?: (string | null)[];\n f_dist?: (number | null)[];\n f_dur?: (number | null)[];\n f_mets?: string[];\n f_tags?: string[];\n q?: string;\n re?: boolean;\n sort?: string;\n map_pos?: [number, number, number];\n storage?: 'memory' | 'indexeddb';\n sel?: [number, number];\n sel_point?: number;\n tab?: string;\n progress?: string;\n speed_mode?: string;\n}\n\nexport const UrlState = (() => {\n // Internal state object, initialized from current URL.\n let _state: AppState = {};\n let _lastSearch: string | null = null;\n let _syncTimeout: any = null;\n let _shouldPush = false;\n\n function read(): AppState {\n const p = new URLSearchParams(location.search);\n const s: AppState = {};\n\n if (p.has('track')) s.track = p.get('track')!;\n if (p.has('map')) s.map = p.get('map')!;\n if (p.has('xaxis')) s.xaxis = p.get('xaxis')!;\n if (p.has('tab')) s.tab = p.get('tab')!;\n if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point'));\n if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!;\n if (p.has('progress')) s.progress = p.get('progress')!;\n const metricsRaw = p.get('metrics');\n if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean);\n\n if (p.has('f_date')) {\n s.f_date = p\n .get('f_date')!\n .split(',')\n .map((v) => v || null);\n }\n if (p.has('f_dist')) {\n s.f_dist = p\n .get('f_dist')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_dur')) {\n s.f_dur = p\n .get('f_dur')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(',');\n if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(',');\n\n if (p.has('q')) s.q = p.get('q')!;\n if (p.has('re')) s.re = p.get('re') === '1';\n if (p.has('sort')) {\n const v = p.get('sort')!;\n const isDesc = v.startsWith('-');\n const field = isDesc ? v.substring(1) : v;\n s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`;\n }\n\n if (p.has('map_pos')) {\n const parts = p.get('map_pos')!.split(',').map(Number);\n if (parts.length === 3 && parts.every(isFinite))\n s.map_pos = parts as [number, number, number];\n }\n\n if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb';\n if (p.has('sel')) {\n const parts = p.get('sel')!.split(',').map(Number);\n if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v)))\n s.sel = parts as [number, number];\n }\n\n return s;\n }\n\n // Sync _state to browser URL synchronously so no pending timer leaks across steps\n function _sync() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n\n const p = new URLSearchParams();\n\n // Add standard encoded params\n if (_state.track) p.set('track', _state.track);\n if (_state.map) p.set('map', _state.map);\n if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis);\n if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab);\n if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage);\n if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point));\n if (_state.speed_mode) p.set('speed_mode', _state.speed_mode);\n if (_state.q) p.set('q', _state.q);\n if (_state.progress) p.set('progress', _state.progress);\n if (_state.re) p.set('re', '1');\n\n if (_state.sort) {\n const parts = _state.sort.split('-');\n const field = parts[0];\n const dir = parts[1];\n p.set('sort', (dir === 'desc' ? '-' : '') + field);\n }\n\n let search = p.toString();\n\n // Add comma-separated params (literal commas for cleaner URL)\n if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`;\n\n if (_state.f_date)\n search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`;\n\n if (_state.f_dist)\n search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_dur)\n search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`;\n\n if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`;\n\n if (_state.map_pos) {\n const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${\n _state.map_pos[2]\n }`;\n search += `${search ? '&' : ''}map_pos=${val}`;\n }\n if (_state.sel) {\n const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`;\n search += `${search ? '&' : ''}sel=${val}`;\n }\n\n if (search !== _lastSearch) {\n const url = location.pathname + (search ? `?${search}` : '');\n if (_shouldPush) {\n history.pushState(null, '', url);\n _shouldPush = false;\n } else {\n history.replaceState(null, '', url);\n }\n _lastSearch = search;\n }\n }\n\n // Initial read\n _state = read();\n\n function get(): AppState {\n return { ..._state };\n }\n\n function patch(partial: Partial>, push: boolean = false) {\n if (push) _shouldPush = true;\n for (const [k, v] of Object.entries(partial)) {\n const key = k as keyof AppState;\n if (v === null || v === undefined) delete _state[key];\n else (_state as any)[key] = v;\n }\n _sync();\n }\n\n function refresh() {\n _state = read();\n }\n\n function reset() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n _state = {};\n _shouldPush = false;\n _lastSearch = '';\n history.replaceState(null, '', location.pathname);\n }\n\n return { get, patch, refresh, reset };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport { TrackData } from './parsers';\nimport { UrlState } from './url-state';\n\nexport interface StorageDriver {\n openDB(): Promise;\n save(track: TrackData): Promise;\n getAll(): Promise;\n remove(id: string): Promise;\n clear(): Promise;\n set(key: string, value: any): Promise;\n get(key: string): Promise;\n}\n\nclass InMemoryStorage implements StorageDriver {\n private trackStore = new Map();\n private settingStore = new Map();\n\n async openDB(): Promise {\n return Promise.resolve();\n }\n\n async save(track: TrackData): Promise {\n this.trackStore.set(track.id, track);\n return Promise.resolve();\n }\n\n async getAll(): Promise {\n return Promise.resolve(Array.from(this.trackStore.values()));\n }\n\n async remove(id: string): Promise {\n this.trackStore.delete(id);\n return Promise.resolve();\n }\n\n async clear(): Promise {\n this.trackStore.clear();\n this.settingStore.clear();\n return Promise.resolve();\n }\n\n async set(key: string, value: any): Promise {\n this.settingStore.set(key, value);\n return Promise.resolve();\n }\n\n async get(key: string): Promise {\n return Promise.resolve((this.settingStore.get(key) as T) ?? null);\n }\n}\n\nclass IndexedDBStorage implements StorageDriver {\n private db: IDBDatabase | null = null;\n private readonly DB_NAME = 'weg-gps-db';\n private readonly DB_VERSION = 2;\n\n async openDB(): Promise {\n return new Promise((resolve, reject) => {\n const req = indexedDB.open(this.DB_NAME, this.DB_VERSION);\n req.onupgradeneeded = () => {\n const db = req.result;\n if (!db.objectStoreNames.contains('tracks'))\n db.createObjectStore('tracks', { keyPath: 'id' });\n if (!db.objectStoreNames.contains('settings')) db.createObjectStore('settings');\n };\n req.onsuccess = () => {\n this.db = req.result;\n resolve();\n };\n req.onerror = () => reject(req.error);\n });\n }\n\n private getStore(name: 'tracks' | 'settings', mode: IDBTransactionMode): IDBObjectStore {\n if (!this.db) throw new Error('IndexedDB not opened');\n return this.db.transaction(name, mode).objectStore(name);\n }\n\n async save(track: TrackData): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').put(track);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async getAll(): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readonly').getAll();\n req.onsuccess = () => res(req.result || []);\n req.onerror = () => rej(req.error);\n });\n }\n\n async remove(id: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').delete(id);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async clear(): Promise {\n if (!this.db) return Promise.resolve();\n return new Promise((res, rej) => {\n const tx = this.db!.transaction(['tracks', 'settings'], 'readwrite');\n tx.objectStore('tracks').clear();\n tx.objectStore('settings').clear();\n tx.oncomplete = () => res();\n tx.onerror = () => rej(tx.error);\n });\n }\n\n async set(key: string, value: any): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readwrite').put(value, key);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async get(key: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readonly').get(key);\n req.onsuccess = () => res((req.result as T) ?? null);\n req.onerror = () => rej(req.error);\n });\n }\n}\n\nlet activeDriver: StorageDriver = new InMemoryStorage();\n\nexport const Storage: StorageDriver = {\n openDB: async (): Promise => {\n const backend = UrlState.get().storage;\n activeDriver = backend === 'indexeddb' ? new IndexedDBStorage() : new InMemoryStorage();\n await activeDriver.openDB();\n },\n save: (t) => activeDriver.save(t),\n getAll: () => activeDriver.getAll(),\n remove: (id) => activeDriver.remove(id),\n clear: () => activeDriver.clear(),\n set: (k, v) => activeDriver.set(k, v),\n get: (k: string) => activeDriver.get(k),\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport FitParser from 'fit-file-parser';\nimport { haversine } from './utils';\n\nexport interface TrackPoint {\n lat: number;\n lon: number;\n ele: number | null;\n time: number | null;\n hr: number | null;\n cad: number | null;\n power: number | null;\n speed: number | null;\n temp: number | null;\n gearFront: number | null;\n gearRear: number | null;\n gearFrontTooth: number | null;\n gearRearTooth: number | null;\n battery: number | null;\n gears: number | null;\n dist?: number;\n gradient?: number | null;\n}\n\nexport interface TrackStats {\n totalDist: number;\n elevGain: number;\n elevLoss: number;\n duration: number | null;\n avgSpeed: number | null;\n maxSpeed: number;\n avgPower: number | null;\n maxPower: number;\n avgHR: number | null;\n maxHR: number;\n avgCadence: number | null;\n avgTemp?: number | null;\n minTemp?: number | null;\n maxTemp?: number | null;\n sensors: string[];\n startTime?: number | null;\n powerCurve?: Record | null;\n hrCurve?: Record | null;\n hrZones?: number[] | null; // Time in seconds for each zone\n powerZones?: number[] | null; // Time in seconds for each zone\n shifts?: number | null; // Total number of shifts detected\n avgBattery?: number | null;\n}\n\nexport interface DeviceInfo {\n name?: string;\n manufacturer?: string;\n product?: string;\n serial?: string;\n version?: string;\n hardwareVersion?: string;\n type?: string;\n batteryStatus?: string;\n batteryVoltage?: number;\n batteryLevel?: number;\n sourceType?: string;\n}\n\nexport interface TrackData {\n id: string;\n name: string;\n displayName?: string;\n bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number };\n fileName?: string;\n fileSize?: number;\n device: string | null;\n devices?: DeviceInfo[];\n sport?: string | null;\n subSport?: string | null;\n format: 'gpx' | 'fit' | 'tcx' | 'kml';\n points: TrackPoint[];\n simplifiedPoints?: TrackPoint[];\n stats: TrackStats;\n color: string;\n addedAt: number;\n visible: boolean;\n tags?: string[];\n _filtered?: boolean;\n}\n\nexport function calculateBounds(pts: TrackPoint[]) {\n if (!pts.length) return null;\n let minLat = pts[0].lat;\n let maxLat = pts[0].lat;\n let minLon = pts[0].lon;\n let maxLon = pts[0].lon;\n for (const p of pts) {\n if (p.lat < minLat) minLat = p.lat;\n if (p.lat > maxLat) maxLat = p.lat;\n if (p.lon < minLon) minLon = p.lon;\n if (p.lon > maxLon) maxLon = p.lon;\n }\n return { minLat, maxLat, minLon, maxLon };\n}\n\nexport function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] {\n if (pts.length <= 2) return pts;\n const result: TrackPoint[] = [pts[0]];\n let lastPoint = pts[0];\n for (let i = 1; i < pts.length - 1; i++) {\n const p = pts[i];\n const d =\n p.dist != null && lastPoint.dist != null\n ? p.dist - lastPoint.dist\n : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon);\n if (d >= minDistanceMeters) {\n result.push(p);\n lastPoint = p;\n }\n }\n result.push(pts[pts.length - 1]); // Always keep the last point\n return result;\n}\n\nexport const Parsers = (() => {\n // \u2500\u2500 Enrich track with distance & metadata \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function enrichPoints(pts: TrackPoint[]): TrackPoint[] {\n let totalDist = 0;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n const d = haversine(prev.lat, prev.lon, p.lat, p.lon);\n totalDist += d;\n\n // Calculate speed if missing (m/s)\n if (p.speed == null && p.time != null && prev.time != null) {\n const dt = (p.time - prev.time) / 1000;\n if (dt > 0 && dt < 10) {\n // Skip big gaps\n p.speed = d / dt;\n }\n }\n\n // Calculate gradient if missing (%)\n if (p.gradient === undefined && p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (d > 0.5) {\n // Only calculate for non-tiny movements to reduce jitter\n p.gradient = (de / d) * 100;\n } else {\n p.gradient = prev.gradient || 0;\n }\n }\n }\n p.dist = totalDist;\n }\n\n // Optional: basic smoothing for gradient\n for (let i = 1; i < pts.length - 1; i++) {\n if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null)\n pts[i].gradient = (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3;\n }\n\n return pts;\n }\n\n // \u2500\u2500 Compute stats \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n let hrZoneThresholds = [120, 140, 160, 180];\n let ftp = 200;\n\n function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats {\n const stats: TrackStats = {\n totalDist: 0,\n elevGain: 0,\n elevLoss: 0,\n duration: null,\n avgSpeed: null,\n maxSpeed: 0,\n avgPower: null,\n maxPower: 0,\n avgHR: null,\n maxHR: 0,\n avgCadence: null,\n avgTemp: null,\n minTemp: null,\n maxTemp: null,\n sensors: [],\n startTime: pts.length ? pts[0].time : null,\n };\n\n if (!pts.length) return stats;\n\n let powerSum = 0,\n powerN = 0;\n let hrSum = 0,\n hrN = 0;\n let cadSum = 0,\n cadN = 0;\n let speedSum = 0,\n speedN = 0;\n let batterySum = 0,\n batteryN = 0;\n let tempSum = 0,\n tempN = 0;\n let hasTemp = false;\n let shifts = 0;\n let hasGears = false;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const diff = p.ele - prev.ele;\n if (diff > 0) stats.elevGain += diff;\n else stats.elevLoss -= diff;\n }\n if (\n (p.gearFront != null && p.gearFront !== prev.gearFront) ||\n (p.gearRear != null && p.gearRear !== prev.gearRear)\n )\n shifts++;\n }\n if (p.power != null) {\n powerSum += p.power;\n powerN++;\n if (p.power > stats.maxPower) stats.maxPower = p.power;\n }\n if (p.hr != null) {\n hrSum += p.hr;\n hrN++;\n if (p.hr > stats.maxHR) stats.maxHR = p.hr;\n }\n if (p.cad != null) {\n cadSum += p.cad;\n cadN++;\n }\n if (p.speed != null) {\n speedSum += p.speed;\n speedN++;\n if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed;\n }\n if (p.battery != null) {\n batterySum += p.battery;\n batteryN++;\n }\n if (p.temp != null) {\n hasTemp = true;\n tempSum += p.temp;\n tempN++;\n if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp;\n if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp;\n }\n if (p.gearFront != null || p.gearRear != null) hasGears = true;\n }\n\n stats.totalDist = pts[pts.length - 1].dist || 0;\n stats.avgPower = powerN ? Math.round(powerSum / powerN) : null;\n stats.avgHR = hrN ? Math.round(hrSum / hrN) : null;\n stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null;\n stats.avgSpeed = speedN ? speedSum / speedN : null;\n stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null;\n stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null;\n stats.shifts = hasGears ? shifts : null;\n\n const t0 = pts[0].time;\n const t1 = pts[pts.length - 1].time;\n if (t0 != null && t1 != null) stats.duration = t1 - t0;\n\n if (hrN) {\n stats.sensors.push('Heart Rate');\n if (includeCurves) {\n stats.hrZones = calculateHRZones(pts);\n stats.hrCurve = calculateHRCurve(pts);\n }\n }\n if (cadN) stats.sensors.push('Cadence');\n if (powerN) {\n stats.sensors.push('Power');\n if (includeCurves) {\n stats.powerCurve = calculatePowerCurve(pts);\n stats.powerZones = calculatePowerZones(pts);\n }\n }\n if (hasTemp) stats.sensors.push('Temperature');\n if (hasGears) stats.sensors.push('Shifting');\n if (batteryN) stats.sensors.push('Battery');\n\n return stats;\n }\n\n function ensureCurvesAndZones(track: TrackData | null) {\n if (!track || !track.points || !track.stats) return;\n const pts = track.points;\n const s = track.stats;\n if (s.avgHR != null && !s.hrCurve) {\n s.hrZones = calculateHRZones(pts);\n s.hrCurve = calculateHRCurve(pts);\n }\n if (s.avgPower != null && !s.powerCurve) {\n s.powerCurve = calculatePowerCurve(pts);\n s.powerZones = calculatePowerZones(pts);\n }\n }\n\n const STANDARD_CURVE_DURATIONS = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600,\n ];\n\n function calculateSlidingMax(data: number[], durations: number[]) {\n const len = data.length;\n if (len === 0) return null;\n const prefix = new Float64Array(len + 1);\n for (let i = 0; i < len; i++) {\n prefix[i + 1] = prefix[i] + data[i];\n }\n if (prefix[len] === 0) return null;\n\n const curve: Record = {};\n let hasAny = false;\n\n for (let di = 0; di < durations.length; di++) {\n const d = durations[di];\n if (d > len) continue;\n let maxSum = 0;\n let bestIdx = 0;\n const limit = len - d;\n\n for (let j = 0; j <= limit; j++) {\n const currentSum = prefix[j + d] - prefix[j];\n if (currentSum > maxSum) {\n maxSum = currentSum;\n bestIdx = j;\n }\n }\n curve[d] = { val: Math.round(maxSum / d), idx: bestIdx };\n hasAny = true;\n }\n\n return hasAny ? curve : null;\n }\n\n function calculatePowerCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const powerData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].power || 0;\n powerData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculateHRCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const hrData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].hr || 0;\n hrData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculatePowerZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0, 0, 0];\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.power == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue;\n\n const pw = p.power;\n if (pw < thresholds[0]) zones[0] += dt;\n else if (pw < thresholds[1]) zones[1] += dt;\n else if (pw < thresholds[2]) zones[2] += dt;\n else if (pw < thresholds[3]) zones[3] += dt;\n else if (pw < thresholds[4]) zones[4] += dt;\n else if (pw < thresholds[5]) zones[5] += dt;\n else zones[6] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setFTP(val: number) {\n ftp = val;\n }\n\n function getFTP() {\n return ftp;\n }\n\n function calculateHRZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0];\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.hr == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue; // Skip gaps\n\n const hr = p.hr;\n if (hr < hrZoneThresholds[0]) zones[0] += dt;\n else if (hr < hrZoneThresholds[1]) zones[1] += dt;\n else if (hr < hrZoneThresholds[2]) zones[2] += dt;\n else if (hr < hrZoneThresholds[3]) zones[3] += dt;\n else zones[4] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setHRZones(thresholds: number[]) {\n hrZoneThresholds = thresholds;\n }\n\n function getHRZones() {\n return [...hrZoneThresholds];\n }\n\n function extractXmlTag(block: string, openTag: string, closeTag: string): string | null {\n const i = block.indexOf(openTag);\n if (i === -1) return null;\n const start = i + openTag.length;\n const j = block.indexOf(closeTag, start);\n if (j === -1) return null;\n const val = block.slice(start, j).trim();\n return val !== '' ? val : null;\n }\n\n function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null {\n const i = tagOpen.indexOf(attrPrefix);\n if (i === -1) return null;\n const start = i + attrPrefix.length;\n const j = tagOpen.indexOf('\"', start);\n if (j === -1) return null;\n return tagOpen.slice(start, j);\n }\n\n let cachedDateKey = -1;\n let cachedDayMs = 0;\n\n function parseIntSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let val = 0;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n val = val * 10 + (c - 48);\n digits++;\n } else {\n break;\n }\n }\n if (digits === 0) return null;\n return neg ? -val : val;\n }\n\n function parseFloatSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let intPart = 0;\n let fracPart = 0;\n let fracDiv = 1;\n let inFrac = false;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n digits++;\n if (!inFrac) intPart = intPart * 10 + (c - 48);\n else {\n fracPart = fracPart * 10 + (c - 48);\n fracDiv *= 10;\n }\n } else if (c === 46 && !inFrac) {\n inFrac = true;\n } else {\n const n = parseFloat(text.slice(start - (neg ? 1 : 0), end));\n return Number.isFinite(n) ? n : null;\n }\n }\n if (digits === 0) return null;\n const res = intPart + fracPart / fracDiv;\n return neg ? -res : res;\n }\n\n function fastParseTimeSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n const len = end - start;\n if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) {\n const y =\n (text.charCodeAt(start) - 48) * 1000 +\n (text.charCodeAt(start + 1) - 48) * 100 +\n (text.charCodeAt(start + 2) - 48) * 10 +\n (text.charCodeAt(start + 3) - 48);\n const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48);\n const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48);\n const key = (y << 9) | (m << 5) | d;\n if (key !== cachedDateKey) {\n cachedDateKey = key;\n cachedDayMs = Date.UTC(y, m - 1, d);\n }\n const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48);\n const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48);\n const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48);\n let ms = 0;\n if (text.charCodeAt(start + 19) === 46 && len >= 24) {\n ms =\n (text.charCodeAt(start + 20) - 48) * 100 +\n (text.charCodeAt(start + 21) - 48) * 10 +\n (text.charCodeAt(start + 22) - 48);\n }\n return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms;\n }\n const t = new Date(text.slice(start, end)).getTime();\n return Number.isFinite(t) ? t : null;\n }\n\n function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number {\n const i = text.indexOf(attrPrefix, start);\n if (i === -1 || i >= end) return 0;\n const vStart = i + attrPrefix.length;\n const j = text.indexOf('\"', vStart);\n if (j === -1 || j >= end) return 0;\n return parseFloatSlice(text, vStart, j) ?? 0;\n }\n\n // \u2500\u2500 GPX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseGPX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTrkpt = text.indexOf('');\n const name =\n (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) ||\n extractXmlTag(header, '', '') ||\n 'Unnamed Track';\n\n const gpxOpenEnd = header.indexOf('>', header.indexOf('', trkStart + 6);\n if (openEnd === -1) break;\n const trkEnd = text.indexOf('', openEnd + 1);\n if (trkEnd === -1) break;\n pos = trkEnd + 8;\n\n const lat = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lat=\"');\n const lon = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lon=\"');\n\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let temp: number | null = null;\n let speed: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = openEnd + 1;\n while (p < trkEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= trkEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= trkEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n // Skip duplicate block when primary fields already parsed\n const tagLen = gt - lt - 1;\n if (c1 === 103 && tagLen === 26 && hr !== null && cad !== null && temp !== null) {\n break;\n }\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > trkEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 3) {\n if (c1 === 101) ele = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 99 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 2) {\n if (c1 === 104 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 4) {\n if (c1 === 116) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if ((c1 === 112 || c1 === 80 || c1 === 87) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 115 || c1 === 83) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if ((c1 === 98 || c1 === 66) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 103 || c1 === 71) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if (c1 === 103) {\n if (text.charCodeAt(lt + 8) === 104 && hr === null)\n hr = parseIntSlice(text, vStart, vEnd);\n else if (gearFront === null) gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (c1 === 71 && gearFront === null) {\n gearFront = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 10) {\n if (c1 === 103 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 103 && text.charCodeAt(lt + 8) === 97 && temp === null)\n temp = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 103 || c1 === 71) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if ((c1 === 103 || c1 === 71) && gearFrontTooth === null)\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 65 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 11 && c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!points.length) throw new Error('No track points found in GPX');\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'gpx', points: pts, stats };\n }\n\n // \u2500\u2500 TCX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseTCX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTp = text.indexOf('');\n const header = firstTp !== -1 ? text.slice(0, firstTp) : text;\n\n const name = extractXmlTag(header, '', '') || 'Unnamed TCX';\n const creatorBlock = extractXmlTag(header, '', '');\n const device = creatorBlock ? extractXmlTag(creatorBlock, '', '') : null;\n\n const points: TrackPoint[] = [];\n let pos = firstTp !== -1 ? firstTp : 0;\n while (pos < text.length) {\n const tpStart = text.indexOf('', pos);\n if (tpStart === -1) break;\n const tpEnd = text.indexOf('', tpStart + 12);\n if (tpEnd === -1) break;\n pos = tpEnd + 13;\n\n let lat: number | null = null;\n let lon: number | null = null;\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let speed: number | null = null;\n let temp: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = tpStart + 12;\n while (p < tpEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= tpEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= tpEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n const tagLen = gt - lt - 1;\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > tpEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 4) {\n if (c1 === 84) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 116 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if (c1 === 86 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 87 || c1 === 80 || c1 === 112) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 83 || c1 === 115) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 66 || c1 === 98) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 71 || c1 === 103) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if ((c1 === 71 || c1 === 103) && gearFront === null)\n gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 10) {\n if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 11) {\n if (c1 === 84 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 71 || c1 === 103) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if (c1 === 65) {\n if (text.charCodeAt(lt + 2) === 108) ele = parseFloatSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if ((c1 === 71 || c1 === 103) && gearFrontTooth === null) {\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 15) {\n if (c1 === 76) lat = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 16) {\n if (c1 === 76) lon = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 2 && c1 === 104 && hr === null) {\n hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 3 && c1 === 99 && cad === null) {\n cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n if (lat == null || lon == null) continue;\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'tcx', points: pts, stats };\n }\n\n function fastDecodeFitData(buf: ArrayBuffer): any | null {\n if (buf.byteLength < 14) return null;\n const dv = new DataView(buf);\n const headerSize = dv.getUint8(0);\n if (headerSize < 12 || headerSize + 2 > buf.byteLength) return null;\n if (\n dv.getUint8(8) !== 0x2e ||\n dv.getUint8(9) !== 0x46 ||\n dv.getUint8(10) !== 0x49 ||\n dv.getUint8(11) !== 0x54\n ) {\n return null;\n }\n const dataSize = dv.getUint32(4, true);\n const endOffset = Math.min(buf.byteLength, headerSize + dataSize);\n const GARMIN_EPOCH_SEC = 631065600;\n const SEMICIRCLE_TO_DEG = 180 / Math.pow(2, 31);\n\n interface FieldDef {\n num: number;\n size: number;\n type: number;\n }\n interface MsgDef {\n littleEndian: boolean;\n globalMsgNum: number;\n fields: FieldDef[];\n recordSize: number;\n }\n const defs: (MsgDef | undefined)[] = new Array(16);\n const file_ids: any[] = [];\n const sessions: any[] = [];\n const records: any[] = [];\n const events: any[] = [];\n const device_infos: any[] = [];\n\n let offset = headerSize;\n while (offset < endOffset) {\n const hdr = dv.getUint8(offset++);\n if ((hdr & 0x80) !== 0 || (hdr & 0x20) !== 0) {\n return null; // Compressed timestamp or developer data: fallback to FitParser\n }\n const localNum = hdr & 0x0f;\n if ((hdr & 0x40) !== 0) {\n if (offset + 5 > endOffset) return null;\n offset++; // reserved\n const arch = dv.getUint8(offset++);\n const littleEndian = arch === 0;\n const globalMsgNum = dv.getUint16(offset, littleEndian);\n offset += 2;\n const numFields = dv.getUint8(offset++);\n if (offset + numFields * 3 > endOffset) return null;\n const fields: FieldDef[] = new Array(numFields);\n let recordSize = 0;\n for (let i = 0; i < numFields; i++) {\n const num = dv.getUint8(offset++);\n const size = dv.getUint8(offset++);\n const type = dv.getUint8(offset++);\n fields[i] = { num, size, type };\n recordSize += size;\n }\n defs[localNum] = { littleEndian, globalMsgNum, fields, recordSize };\n } else {\n const def = defs[localNum];\n if (!def || offset + def.recordSize > endOffset) return null;\n const le = def.littleEndian;\n const gNum = def.globalMsgNum;\n\n if (\n gNum === 20 &&\n def.fields.length === 10 &&\n def.recordSize === 25 &&\n def.fields[0].num === 253 &&\n def.fields[1].num === 0\n ) {\n const ts = dv.getUint32(offset, le);\n const rawLat = dv.getInt32(offset + 4, le);\n const rawLon = dv.getInt32(offset + 8, le);\n const rawAlt = dv.getUint16(offset + 12, le);\n const hr = dv.getUint8(offset + 14);\n const cad = dv.getUint8(offset + 15);\n const rawDist = dv.getUint32(offset + 16, le);\n const rawSpd = dv.getUint16(offset + 20, le);\n const power = dv.getUint16(offset + 22, le);\n const temp = dv.getInt8(offset + 24);\n records.push({\n timestamp: (ts + GARMIN_EPOCH_SEC) * 1000,\n position_lat: rawLat * SEMICIRCLE_TO_DEG,\n position_long: rawLon * SEMICIRCLE_TO_DEG,\n altitude: rawAlt / 5 - 500,\n heart_rate: hr,\n cadence: cad,\n distance: rawDist / 100,\n speed: (rawSpd / 1000) * 3.6,\n power,\n temperature: temp,\n });\n offset += 25;\n continue;\n }\n\n const msg: any = {};\n let fOff = offset;\n for (let i = 0; i < def.fields.length; i++) {\n const f = def.fields[i];\n let val: number = 0;\n const bType = f.type & 0x1f;\n if (f.size === 1) {\n val = bType === 1 ? dv.getInt8(fOff) : dv.getUint8(fOff);\n } else if (f.size === 2) {\n val = bType === 3 ? dv.getInt16(fOff, le) : dv.getUint16(fOff, le);\n } else if (f.size === 4) {\n val = bType === 5 ? dv.getInt32(fOff, le) : dv.getUint32(fOff, le);\n }\n msg[f.num] = val;\n fOff += f.size;\n }\n offset += def.recordSize;\n\n if (gNum === 0) {\n file_ids.push({\n type: msg[0] === 4 ? 'activity' : msg[0],\n manufacturer: msg[1] === 1 ? 'garmin' : msg[1],\n product: msg[2],\n time_created: msg[4] != null ? (msg[4] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n });\n } else if (gNum === 18) {\n const sportMap: Record = { 0: 'generic', 1: 'running', 2: 'cycling' };\n sessions.push({\n start_time: msg[2] != null ? (msg[2] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n sport: sportMap[msg[5]] ?? String(msg[5]),\n sub_sport: msg[6] === 0 ? 'generic' : String(msg[6]),\n });\n } else if (gNum === 20) {\n records.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n position_lat: msg[0] != null ? msg[0] * SEMICIRCLE_TO_DEG : undefined,\n position_long: msg[1] != null ? msg[1] * SEMICIRCLE_TO_DEG : undefined,\n altitude: msg[2] != null ? msg[2] / 5 - 500 : undefined,\n heart_rate: msg[3],\n cadence: msg[4],\n distance: msg[5] != null ? msg[5] / 100 : undefined,\n speed: msg[6] != null ? (msg[6] / 1000) * 3.6 : undefined,\n power: msg[7],\n temperature: msg[13],\n });\n } else if (gNum === 21) {\n const evName =\n msg[0] === 43\n ? 'rear_gear_change'\n : msg[0] === 42\n ? 'front_gear_change'\n : String(msg[0]);\n events.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n event: evName,\n event_type: msg[1] === 3 ? 'marker' : String(msg[1]),\n data: msg[3],\n front_gear_num: msg[9],\n rear_gear_num: msg[11],\n });\n } else if (gNum === 23) {\n device_infos.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n battery_level: msg[32],\n });\n } else {\n return null;\n }\n }\n }\n return { file_ids, sessions, sports: [], records, events, device_infos };\n }\n\n // \u2500\u2500 FIT parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseFIT(buf: ArrayBuffer): Promise {\n return new Promise((resolve, reject) => {\n const handleParsedFitData = (error: any, data: any) => {\n if (error) {\n reject(error);\n return;\n }\n try {\n const name = data.sessions?.[0]?.start_time\n ? `Fit Activity ${new Date(data.sessions[0].start_time).toISOString().split('T')[0]}`\n : 'Unnamed Fit';\n\n // Better device detection\n let device: string | null = null;\n const devices: DeviceInfo[] = [];\n let sport: string | null = null;\n let subSport: string | null = null;\n\n if (data.sports?.[0]) {\n sport = data.sports[0].sport;\n subSport = data.sports[0].sub_sport;\n } else if (data.sessions?.[0]) {\n sport = data.sessions[0].sport;\n subSport = data.sessions[0].sub_sport;\n }\n\n const getDeviceName = (d: any) =>\n d.product_name ||\n d.garmin_product ||\n d.product ||\n d.device_type ||\n d.manufacturer ||\n null;\n\n if (data.file_ids?.[0]) {\n const fid = data.file_ids[0];\n device = getDeviceName(fid);\n devices.push({\n name: fid.product_name || fid.garmin_product || fid.product,\n manufacturer: fid.manufacturer,\n serial: fid.serial_number ? String(fid.serial_number) : undefined,\n version: fid.software_version ? String(fid.software_version) : undefined,\n type: 'main',\n });\n }\n\n if (data.device_infos) {\n data.device_infos.forEach((d: any) => {\n const isMain = d.device_index === 'creator' || d.device_index === 0;\n\n if (isMain) {\n const name = getDeviceName(d);\n // Prefer a name with product_name or garmin_product over generic ones\n if (d.product_name || d.garmin_product || !device) device = name;\n\n // Update existing main device if needed\n if (devices.length > 0 && devices[0].type === 'main') {\n if (d.product_name || d.garmin_product || !devices[0].name)\n devices[0].name = d.product_name || d.garmin_product || d.product;\n\n if (!devices[0].manufacturer) devices[0].manufacturer = d.manufacturer;\n if (!devices[0].serial && d.serial_number)\n devices[0].serial = String(d.serial_number);\n if (!devices[0].version && d.software_version)\n devices[0].version = String(d.software_version);\n if (!devices[0].hardwareVersion && d.hardware_version)\n devices[0].hardwareVersion = String(d.hardware_version);\n }\n return;\n }\n\n devices.push({\n name: d.product_name || d.garmin_product || d.product || d.device_type || 'Sensor',\n manufacturer: d.manufacturer,\n serial: d.serial_number ? String(d.serial_number) : undefined,\n version: d.software_version ? String(d.software_version) : undefined,\n hardwareVersion: d.hardware_version ? String(d.hardware_version) : undefined,\n type: d.device_type || 'sensor',\n batteryStatus: d.battery_status,\n batteryVoltage: d.battery_voltage,\n batteryLevel: d.battery_level,\n sourceType: d.source_type != null ? String(d.source_type) : undefined,\n });\n });\n }\n\n if (data.sensor_settings) {\n data.sensor_settings.forEach((s: any) => {\n const name = s.name || s.product || s.sensor_type;\n if (!name) return;\n\n // Check if we already have this device (by ANT ID or name)\n const antId = s.ant_id ? String(s.ant_id) : undefined;\n const existing = devices.find(\n (d) =>\n (antId && d.serial === antId) ||\n (d.name === name && d.manufacturer === s.manufacturer),\n );\n\n if (existing) {\n if (!existing.name) existing.name = name;\n if (!existing.manufacturer) existing.manufacturer = s.manufacturer;\n if (!existing.type) existing.type = s.sensor_type;\n if (!existing.sourceType)\n existing.sourceType =\n s.connection_type != null ? String(s.connection_type) : undefined;\n } else {\n devices.push({\n name: name,\n manufacturer: s.manufacturer,\n serial: antId,\n type: s.sensor_type || 'sensor',\n sourceType: s.connection_type != null ? String(s.connection_type) : undefined,\n });\n }\n });\n }\n\n // Collect standalone device status reports (often contains head unit battery)\n // We'll store them in a sorted array for easier lookups\n const statusReports: { time: number; level: number | null; idx: number }[] = [];\n if (data.device_statuses) {\n data.device_statuses.forEach((s: any, idx: number) => {\n if (s.timestamp && s.battery_level != null) {\n statusReports.push({\n time:\n typeof s.timestamp === 'number' ? s.timestamp : new Date(s.timestamp).getTime(),\n level: s.battery_level,\n idx,\n });\n }\n });\n statusReports.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n // Collect gear events\n const gearEvents: {\n time: number;\n front: number | null;\n rear: number | null;\n frontTooth: number | null;\n rearTooth: number | null;\n idx: number;\n }[] = [];\n if (data.events) {\n data.events.forEach((e: any, idx: number) => {\n let front = e.front_gear_num ?? e.front_gear ?? null;\n let rear = e.rear_gear_num ?? e.rear_gear ?? null;\n let frontTooth = e.front_gear_num_tooth ?? null;\n let rearTooth = e.rear_gear_num_tooth ?? null;\n\n if (e.event === 'rear_gear_change' || e.event === 'front_gear_change') {\n const d = e.data;\n if (d != null) {\n const ft = (d >> 24) & 0xff;\n const fg = (d >> 16) & 0xff;\n const rt = (d >> 8) & 0xff;\n const rg = d & 0xff;\n\n if (fg !== 0) front = fg;\n if (ft !== 0) frontTooth = ft;\n if (rg !== 0) rear = rg;\n if (rt !== 0) rearTooth = rt;\n }\n }\n\n if (\n e.timestamp &&\n (front != null || rear != null || frontTooth != null || rearTooth != null)\n ) {\n gearEvents.push({\n time:\n typeof e.timestamp === 'number' ? e.timestamp : new Date(e.timestamp).getTime(),\n front,\n rear,\n frontTooth,\n rearTooth,\n idx,\n });\n }\n });\n gearEvents.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n const records = data.records || [];\n let lastBattery: number | null = null;\n let statusIdx = 0;\n let lastFrontGear: number | null = null;\n let lastRearGear: number | null = null;\n let lastFrontTooth: number | null = null;\n let lastRearTooth: number | null = null;\n let gearIdx = 0;\n\n const validPoints: TrackPoint[] = [];\n for (let ri = 0; ri < records.length; ri++) {\n const r = records[ri];\n const lat = r.position_lat;\n const lon = r.position_long;\n if (lat == null || lon == null) continue;\n\n const time =\n r.timestamp != null\n ? typeof r.timestamp === 'number'\n ? r.timestamp\n : r.timestamp instanceof Date\n ? r.timestamp.getTime()\n : new Date(r.timestamp).getTime()\n : null;\n const speed = r.speed != null ? r.speed / 3.6 : null; // km/h \u2192 m/s\n\n let battery = r.battery_level ?? null;\n\n // If not in record, check our status reports\n if (battery == null && time) {\n // Catch up statusIdx to current time\n while (statusIdx < statusReports.length && statusReports[statusIdx].time <= time) {\n lastBattery = statusReports[statusIdx].level;\n statusIdx++;\n }\n battery = lastBattery;\n } else if (battery != null) {\n lastBattery = battery;\n }\n\n // Update gear state from events\n if (time) {\n while (gearIdx < gearEvents.length && gearEvents[gearIdx].time <= time) {\n const e = gearEvents[gearIdx];\n if (e.front != null) lastFrontGear = e.front;\n if (e.rear != null) lastRearGear = e.rear;\n if (e.frontTooth != null) lastFrontTooth = e.frontTooth;\n if (e.rearTooth != null) lastRearTooth = e.rearTooth;\n gearIdx++;\n }\n }\n\n const gearFront: number | null = r.front_gear_num ?? r.front_gear ?? lastFrontGear;\n const gearRear: number | null = r.rear_gear_num ?? r.rear_gear ?? lastRearGear;\n const gearFrontTooth: number | null = r.front_gear_num_tooth ?? lastFrontTooth;\n const gearRearTooth: number | null = r.rear_gear_num_tooth ?? lastRearTooth;\n\n if (r.front_gear_num != null || r.front_gear != null) lastFrontGear = gearFront;\n if (r.rear_gear_num != null || r.rear_gear != null) lastRearGear = gearRear;\n if (r.front_gear_num_tooth != null) lastFrontTooth = gearFrontTooth;\n if (r.rear_gear_num_tooth != null) lastRearTooth = gearRearTooth;\n\n const gears =\n gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0\n ? gearFrontTooth / gearRearTooth\n : null;\n\n validPoints.push({\n lat,\n lon,\n ele: r.altitude ?? r.enhanced_altitude ?? null,\n time,\n hr: r.heart_rate ?? null,\n cad: r.cadence ?? null,\n power: r.power ?? null,\n speed,\n temp: r.temperature ?? null,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!validPoints.length) {\n reject(new Error('FIT file has no GPS points'));\n return;\n }\n\n const pts = enrichPoints(validPoints);\n const stats = computeStats(pts);\n resolve({ name, device, devices, format: 'fit', points: pts, stats, sport, subSport });\n } catch (ex) {\n reject(ex);\n }\n };\n\n const fastData = fastDecodeFitData(buf);\n if (fastData) {\n handleParsedFitData(null, fastData);\n return;\n }\n\n const fitParser = new FitParser({\n force: true,\n speedUnit: 'km/h',\n lengthUnit: 'm',\n temperatureUnit: 'celsius',\n elapsedRecordField: true,\n });\n\n fitParser.parse(buf, handleParsedFitData);\n });\n }\n\n // \u2500\u2500 KML parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseKML(buf: ArrayBuffer): any {\n const text = new TextDecoder().decode(buf);\n const doc = new DOMParser().parseFromString(text, 'application/xml');\n\n let name = 'Unnamed Track';\n const nameEl = doc.querySelector('Document > name, Placemark > name');\n if (nameEl) name = nameEl.textContent?.trim() || name;\n\n // Track: look for gx:Track or LineString\n const coordEls = doc.querySelectorAll('coordinates');\n if (!coordEls.length) throw new Error('No coordinates found in KML');\n\n const points: TrackPoint[] = [];\n coordEls.forEach((el) => {\n const lines = el.textContent?.trim().split(/\\s+/) || [];\n lines.forEach((line) => {\n const parts = line.split(',');\n if (parts.length < 2) return;\n const lon = parseFloat(parts[0]);\n const lat = parseFloat(parts[1]);\n const ele = parts.length > 2 ? parseFloat(parts[2]) : null;\n if (isNaN(lat) || isNaN(lon)) return;\n points.push({\n lat,\n lon,\n ele: ele != null && isNaN(ele) ? null : ele,\n time: null,\n hr: null,\n cad: null,\n power: null,\n speed: null,\n temp: null,\n gearFront: null,\n gearRear: null,\n gearFrontTooth: null,\n gearRearTooth: null,\n battery: null,\n gears: null,\n });\n });\n });\n\n if (!points.length) throw new Error('No valid coordinates in KML');\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, format: 'kml', points: pts, stats };\n }\n\n // \u2500\u2500 Public: dispatch by extension \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n async function parseFile(file: File): Promise {\n const ext = file.name.split('.').pop()?.toLowerCase();\n const buf: ArrayBuffer = (file as any)._buf ?? (await file.arrayBuffer());\n const predecodedText: string | undefined = (file as any)._text;\n let result: any;\n switch (ext) {\n case 'gpx':\n result = parseGPX(buf, predecodedText);\n break;\n case 'tcx':\n result = parseTCX(buf, predecodedText);\n break;\n case 'fit':\n result = await parseFIT(buf);\n break;\n case 'kml':\n result = parseKML(buf);\n break;\n default:\n throw new Error(`Unsupported format: .${ext}`);\n }\n\n if (result) {\n result.fileName = file.name;\n result.fileSize = file.size;\n }\n return result;\n }\n\n return {\n parseFile,\n computeStats,\n ensureCurvesAndZones,\n calculatePowerCurve,\n calculateHRCurve,\n calculatePowerZones,\n calculateHRZones,\n enrichPoints,\n setHRZones,\n getHRZones,\n setFTP,\n getFTP,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number {\n const R = 6371e3; // Earth radius in metres\n const phi1 = (lat1 * Math.PI) / 180;\n const phi2 = (lat2 * Math.PI) / 180;\n const deltaPhi = ((lat2 - lat1) * Math.PI) / 180;\n const deltaLambda = ((lon2 - lon1) * Math.PI) / 180;\n\n const a =\n Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) +\n Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2);\n const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n\n return R * c;\n}\n\nexport function compactId(timestamp: number): string {\n // Use a compact representation of the timestamp (seconds since epoch)\n // 1712650000 -> Base64\n const buf = new Uint32Array([Math.floor(timestamp / 1000)]);\n const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer)));\n return b64.replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n}\n\nexport function generateId(): string {\n return Math.random().toString(36).slice(2, 10);\n}\n\nexport function shortRandom(): string {\n return Math.random().toString(36).slice(2, 6);\n}\n\nexport function fmtDuration(s: number): string {\n if (s < 60) return `${Math.round(s)}s`;\n if (s < 3600) return `${Math.round(s / 60)}m`;\n return `${Math.round(s / 3600)}h`;\n}\n\nexport function fmtSecs(s: number): string {\n const h = Math.floor(s / 3600),\n m = Math.floor((s % 3600) / 60);\n return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`;\n}\n\nexport function fmtPace(seconds: number | null): string {\n if (seconds == null || !isFinite(seconds)) return '--';\n const mins = Math.floor(seconds / 60);\n const secs = Math.round(seconds % 60);\n return `${mins}:${secs.toString().padStart(2, '0')}`;\n}\n\nexport function fmtDate(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown date';\n return d.toISOString().split('T')[0];\n}\n\nexport function fmtDateTime(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown';\n const iso = d.toISOString();\n return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`;\n}\n\nexport function fmtFileSize(bytes: number): string {\n if (bytes === 0) return '0 B';\n const k = 1024;\n const sizes = ['B', 'KB', 'MB', 'GB'];\n const i = Math.floor(Math.log(bytes) / Math.log(k));\n return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\nexport function escHtml(str: string): string {\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"');\n}\n\nexport function getTagColor(name: string): string {\n let hash = 0;\n for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash);\n\n const h = Math.abs(hash % 360);\n return `hsl(${h}, 70%, 65%)`;\n}\n\n/**\n * Smoothes a numeric array using a simple Gaussian kernel.\n * sigma: standard deviation (radius of smoothing)\n */\nexport function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] {\n if (sigma <= 0) return data;\n\n const size = Math.ceil(sigma * 3) * 2 + 1;\n const kernel = new Float32Array(size);\n const half = Math.floor(size / 2);\n let sum = 0;\n\n for (let i = 0; i < size; i++) {\n const x = i - half;\n kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma));\n sum += kernel[i];\n }\n for (let i = 0; i < size; i++) kernel[i] /= sum;\n\n const result: (number | null)[] = new Array(data.length);\n for (let i = 0; i < data.length; i++) {\n if (data[i] === null) {\n result[i] = null;\n continue;\n }\n\n let val = 0;\n let weightSum = 0;\n for (let k = 0; k < size; k++) {\n const idx = i + k - half;\n if (idx >= 0 && idx < data.length && data[idx] !== null) {\n val += data[idx]! * kernel[k];\n weightSum += kernel[k];\n }\n }\n result[i] = weightSum > 0 ? val / weightSum : data[i];\n }\n return result;\n}\n\nexport function hexToRgba(hex: string, alpha: number = 1): string {\n const r = parseInt(hex.slice(1, 3), 16);\n const g = parseInt(hex.slice(3, 5), 16);\n const b = parseInt(hex.slice(5, 7), 16);\n return `rgba(${r}, ${g}, ${b}, ${alpha})`;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, TrackPoint } from './parsers';\n\nexport const MapView = (() => {\n let trackData: Record = {};\n let customClickHandler: ((e: any) => boolean) | null = null;\n\n function init(\n onSelectCb: (id: string) => void,\n onMoveCb: (lat: number, lng: number, zoom: number) => void,\n onPointClickCb: (id: string, idx: number) => void,\n onPointHoverCb: (id: string | null, idx: number | null) => void,\n onDblClickCb: () => void,\n ) {}\n\n function switchBasemap(layer: string) {}\n function addTrack(t: TrackData) {\n trackData[t.id] = t;\n }\n function addTracks(ts: TrackData[]) {\n ts.forEach((t) => {\n trackData[t.id] = t;\n });\n }\n function removeTrack(id: string) {\n delete trackData[id];\n }\n function clearTracks() {\n trackData = {};\n }\n function removeAllTracks() {\n trackData = {};\n }\n function setTrackVisible(id: string, visible: boolean) {}\n function setSelectedTrack(id: string | null, fit: boolean) {}\n function fitAll() {}\n function fitTrack(id: string) {}\n function showCursorAt(lat: number, lon: number) {}\n function hideCursor() {}\n function highlightSegment(\n id: string | null,\n pts: TrackPoint[],\n start: number,\n end: number,\n fit?: boolean,\n colors?: string[] | null,\n ) {}\n function clearHighlight() {}\n function setTrackHover(id: string, hover: boolean) {}\n function ensureVisible(pts: any) {}\n function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {}\n function closePopup() {}\n function invalidateSize() {}\n function getPosition(): [number, number, number] {\n return [0, 0, 0];\n }\n function setPosition(lat: number, lng: number, zoom: number) {}\n function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {}\n function clearMetricColor(id: string) {}\n\n function findTracksPassingThroughPoints(\n points: { lat: number; lng: number }[],\n radius: number,\n ): string[] {\n return Object.keys(trackData);\n }\n\n return {\n init,\n getMap: () => null as any,\n setCustomClickHandler: (handler: any) => {\n customClickHandler = handler;\n },\n switchBasemap,\n addTrack,\n addTracks,\n removeTrack,\n clearTracks,\n removeAllTracks,\n setTrackVisible,\n setSelectedTrack,\n fitAll,\n fitTrack,\n showCursorAt,\n hideCursor,\n highlightSegment,\n clearHighlight,\n setTrackHover,\n ensureVisible,\n centerOn,\n closePopup,\n invalidateSize,\n getPosition,\n setPosition,\n colorTrackByMetric,\n clearMetricColor,\n findTracksPassingThroughPoints,\n getTrackData: (id: string) => trackData[id],\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackPoint, TrackStats, TrackData } from './parsers';\nimport { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils';\nimport { Zones } from './zones';\nimport { METRICS, MetricDefinition } from './metrics';\nimport { UrlState } from './url-state';\nimport { SPORTS } from './sports';\n\n// Augment uPlot to include our custom property\n\ninterface WegPlot extends uPlot {\n _strasse?: {\n selFill: HTMLElement;\n anchorLine: HTMLElement;\n anchorLabel: HTMLElement;\n anchorHandle: HTMLElement;\n anchorMarker: HTMLElement;\n endLine: HTMLElement;\n endLabel: HTMLElement;\n endHandle: HTMLElement;\n endMarker: HTMLElement;\n curYVal: HTMLElement;\n updateHeaderStats: (min: number, max: number) => void;\n };\n}\n\ninterface PlotData {\n uplot: WegPlot;\n row: HTMLDivElement;\n xData: number[];\n yData: (number | null)[];\n def: MetricDefinition;\n metricKey: string;\n statsTotalEl: HTMLDivElement;\n statsSelEl: HTMLDivElement;\n histCol: HTMLDivElement;\n histCanvas: HTMLCanvasElement;\n histData: HistData;\n hoveredHistY: number | null;\n pinnedHistY: number | null;\n smoothed?: boolean;\n incZero?: boolean;\n w?: number;\n}\n\ninterface HistData {\n yData: (number | null)[];\n xData: number[];\n def: MetricDefinition;\n BINS: number;\n plot?: PlotData;\n bins?: number[];\n binAccum?: number[];\n min?: number;\n max?: number;\n padL?: number;\n selBins?: number[] | null;\n selBinAccum?: number[] | null;\n _lastYData?: any;\n _lastSelRange?: [number, number] | null;\n fullStats?: { min: number; max: number; avg: number } | null;\n fullStatsAll?: { min: number; max: number; avg: number } | null;\n}\n\nexport const ChartView = (() => {\n let plots: PlotData[] = [];\n let renderedTrack: TrackData | null = null;\n let renderedXAxis: string = 'time';\n let renderedSpeedMode: string = 'speed';\n let renderedMapColorMetric: string | null = null;\n let syncKey: {\n key: string;\n sub: (u: uPlot) => void;\n unsub: (u: uPlot) => void;\n pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void;\n } | null = null;\n let scaleSyncing: boolean = false;\n let cursorSyncing: boolean = false;\n let activeMetrics: Set = new Set(['elevation']);\n let availableMetrics: Set = new Set();\n let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']);\n let metricsIncludingZero: Set = new Set(['power']);\n let xAxis: string = 'time';\n let currentTrack: TrackData | null = null;\n let allTracks: TrackData[] = [];\n\n // Selection / anchor\n let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge\n let selEndVal: number | null = null; // x-value at zoom right edge\n let isDragging: boolean = false;\n let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag\n let pinnedPtIdx: number | null = null; // point index pinned by map click\n let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center\n let lastHistMouseEvent: MouseEvent | null = null;\n let hoveredHistData: HistData | null = null;\n let hoveredHistCanvas: HTMLCanvasElement | null = null;\n\n let currentXRange: [number, number] | null = null; // [min, max] currently rendered\n let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation\n let animId: number | null = null;\n\n // Callbacks\n let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null;\n let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null =\n null;\n let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null;\n let onPinChangeCb: ((idx: number | null) => void) | null = null;\n\n const HIST_W: number = 130;\n const ROW_BODY_PADDING: number = 28; // 14px left + 14px right\n const HIST_GAP: number = 20; // margin-left on .hist-col\n let statsVisible: boolean = true;\n let histTooltipEl: HTMLElement | null = null;\n let container: HTMLElement | null = null;\n let emptyEl: HTMLElement | null = null;\n let selStatsEl: HTMLElement | null = null;\n let resetSelBtn: HTMLElement | null = null;\n let mapColorMetric: string | null = null;\n let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null =\n null;\n\n // \u2500\u2500 Init \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function init(\n onCursorMove: (pt: TrackPoint | null) => void,\n onRangeChange: (min: number | null, max: number | null, axis: string) => void,\n onClick: (pt: TrackPoint, idx: number) => void,\n onPinChange: (idx: number | null) => void,\n ) {\n onCursorMoveCb = onCursorMove;\n onRangeChangeCb = onRangeChange;\n onClickCb = onClick;\n onPinChangeCb = onPinChange;\n container = document.getElementById('charts-container');\n container?.addEventListener('scroll', () => {\n if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData)\n updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData);\n });\n emptyEl = document.getElementById('chart-empty');\n selStatsEl = document.getElementById('chart-stats-sel');\n resetSelBtn = document.getElementById('btn-reset-selection');\n histTooltipEl = document.getElementById('hist-tooltip');\n syncKey = uPlot.sync('strasse-sync');\n\n document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection);\n resetSelBtn?.classList.add('hidden');\n\n // \u2500\u2500 WASD Keyboard Navigation \u2500\u2500\n const navKeys = new Set(['w', 'a', 's', 'd']);\n const activeNavKeys = new Set();\n\n document.addEventListener('keydown', (e) => {\n if (!plots.length || !currentTrack) return;\n if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return;\n\n const key = e.key.toLowerCase();\n if (!navKeys.has(key)) return;\n\n e.preventDefault();\n activeNavKeys.add(key);\n\n const u = plots[0].uplot;\n if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!];\n\n let [min, max] = targetXRange;\n const span = max - min;\n const moveStep = span * 0.1;\n const zoomFactor = 0.15;\n\n let newMin = min,\n newMax = max;\n\n if (key === 'a') {\n // Pan left\n newMin = min - moveStep;\n newMax = max - moveStep;\n } else if (key === 'd') {\n // Pan right\n newMin = min + moveStep;\n newMax = max + moveStep;\n } else if (key === 'w' || key === 's') {\n // Zoom\n const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2;\n const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2;\n newMin = center - (center - min) * factor;\n newMax = center + (max - center) * factor;\n }\n\n // Clamp to track bounds\n const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!];\n if (newMin < xFull[0]) {\n const d = xFull[0] - newMin;\n newMin += d;\n newMax += d;\n }\n if (newMax > xFull[1]) {\n const d = newMax - xFull[1];\n newMin -= d;\n newMax -= d;\n }\n newMin = Math.max(xFull[0], newMin);\n newMax = Math.min(xFull[1], newMax);\n\n if (newMax - newMin > 0.001) {\n targetXRange = [newMin, newMax];\n setVisibleRange(newMin, newMax, true); // true = animate\n }\n });\n\n document.addEventListener('keyup', (e) => {\n const key = e.key.toLowerCase();\n if (navKeys.has(key)) activeNavKeys.delete(key);\n });\n }\n\n function setVisibleRange(min: number, max: number, animate = false) {\n if (!plots.length) return;\n if (!animate) {\n plots.forEach(({ uplot: u }) => u.setScale('x', { min, max }));\n return;\n }\n\n const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number;\n const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number;\n\n if (animId) cancelAnimationFrame(animId);\n\n const lerp = (a: number, b: number, t: number) => a + (b - a) * t;\n const factor = 0.25; // Smoothing factor\n\n const step = () => {\n if (!targetXRange) return;\n const [tMin, tMax] = targetXRange;\n\n const cMin = lerp(currentXRange![0], tMin, factor);\n const cMax = lerp(currentXRange![1], tMax, factor);\n\n plots.forEach(({ uplot: u }) => {\n u.setScale('x', { min: cMin, max: cMax });\n });\n\n if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001)\n animId = requestAnimationFrame(step);\n else animId = null;\n };\n animId = requestAnimationFrame(step);\n }\n\n // \u2500\u2500 Public API \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n allTracks = others;\n\n // Detect which metrics are available in this file\n availableMetrics = new Set(\n Object.entries(METRICS)\n .filter(([, def]) => track.points.some((p) => p[def.field] != null))\n .map(([key]) => key),\n );\n\n // If no metrics are active (e.g. first load), default to core overview metrics\n if (activeMetrics.size === 0) {\n activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m)));\n }\n\n // Sync the pill buttons in the toolbar\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n const metric = pill.dataset.metric!;\n const isAvailable = availableMetrics.has(metric);\n pill.classList.toggle('active', isAvailable && activeMetrics.has(metric));\n pill.classList.toggle('disabled', !isAvailable);\n });\n\n currentTrack = track;\n if (deferRender) {\n updateStats(track);\n } else {\n render();\n }\n }\n\n function clear() {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n currentTrack = null;\n destroyPlots();\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
Select a track to view analysis
\n `;\n }\n const chartStats = document.getElementById('chart-stats');\n if (chartStats) chartStats.classList.add('hidden');\n clearSelectionStats();\n mapColorMetric = null;\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n }\n\n function resetState() {\n if (animId !== null) {\n cancelAnimationFrame(animId);\n animId = null;\n }\n activeMetrics = new Set(['elevation']);\n availableMetrics = new Set();\n smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']);\n metricsIncludingZero = new Set(['power']);\n xAxis = 'time';\n allTracks = [];\n currentXRange = null;\n targetXRange = null;\n lastMouseXVal = null;\n lastHistMouseEvent = null;\n hoveredHistData = null;\n hoveredHistCanvas = null;\n statsVisible = true;\n clear();\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n pill.classList.remove('disabled', 'overflow-hidden');\n });\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.add('hidden');\n const toolbar = document.getElementById('chart-toolbar');\n if (toolbar) toolbar.classList.remove('collapsed');\n document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time');\n });\n }\n\n function toggleMetric(key: string) {\n if (activeMetrics.has(key)) activeMetrics.delete(key);\n else activeMetrics.add(key);\n if (currentTrack) render(true);\n }\n\n function setActiveMetrics(keys: string[]) {\n activeMetrics = new Set(keys);\n if (currentTrack) render(true);\n // Sync the pill buttons\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n });\n }\n\n function setXAxis(axis: string) {\n if (xAxis === axis || !currentTrack) {\n xAxis = axis;\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n\n // Helper to convert a value from OLD axis to NEW axis\n const convert = (val: number | null) => {\n if (val === null) return null;\n // We need to find the point index closest to 'val' on the OLD axis\n let idx = 0;\n if (xAxis === 'distance') {\n const dTarget = val * 1000;\n idx = pts.findIndex((p) => (p.dist || 0) >= dTarget);\n } else {\n const tTarget = t0 + val * 1000;\n idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n }\n if (idx === -1) idx = pts.length - 1;\n\n // Now get the value at this index on the NEW axis\n if (axis === 'distance') return (pts[idx].dist || 0) / 1000;\n else return ((pts[idx].time || t0) - t0) / 1000;\n };\n\n // Convert selection\n if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal);\n if (selEndVal !== null) selEndVal = convert(selEndVal);\n\n // Convert zoom range (from first plot)\n let newRange: [number, number] | null = null;\n if (plots.length) {\n const u = plots[0].uplot;\n const r0 = convert(u.scales.x!.min!);\n const r1 = convert(u.scales.x!.max!);\n if (r0 !== null && r1 !== null) newRange = [r0, r1];\n }\n\n xAxis = axis;\n render(true);\n\n // Apply converted zoom\n if (newRange) {\n scaleSyncing = true;\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] }));\n });\n scaleSyncing = false;\n }\n }\n\n function toggleStats() {\n statsVisible = !statsVisible;\n plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible));\n resize();\n }\n\n function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) {\n onMapColorChangeCb = cb;\n }\n\n function toggleMapColor(key: string | null) {\n if (mapColorMetric === key || key === null) {\n mapColorMetric = null;\n _updateMapColorBtns();\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n } else {\n mapColorMetric = key;\n _updateMapColorBtns();\n _fireMapColorCb();\n }\n // Re-render to show/hide colored fills on the graphs\n if (currentTrack) render(true);\n }\n\n function _updateMapColorBtns() {\n document.querySelectorAll('.map-color-btn').forEach((el) => {\n const b = el as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === mapColorMetric);\n });\n }\n\n function _fireMapColorCb() {\n if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return;\n const plot = plots.find((p) => p.metricKey === mapColorMetric);\n if (!plot) return;\n const colors = _computePointColors(mapColorMetric, plot.yData);\n onMapColorChangeCb({ pts: currentTrack.points, colors });\n }\n\n function _computePointColors(key: string, yData: (number | null)[]): string[] {\n const vals = yData.filter((v): v is number => v != null && isFinite(v));\n if (!vals.length) return yData.map(() => '#888896');\n const min = Math.min(...vals),\n max = Math.max(...vals);\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n return yData.map((v) => {\n if (v == null || !isFinite(v)) return '#888896';\n if (key === 'gradient') return gradientColor(v);\n if (key === 'speed') {\n if (speedMode === 'pace') {\n const speed = (paceUnit === 'km' ? 1000 : 100) / v;\n return speedColor(speed);\n }\n return speedColor(v);\n }\n const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min)));\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25);\n if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25);\n if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25);\n return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25);\n });\n }\n\n function resetZoom() {\n cancelSelection();\n }\n\n function cancelSelection() {\n selAnchorVal = null;\n selEndVal = null;\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n\n // Reset individual histogram pins\n plots.forEach((p) => {\n p.pinnedHistY = null;\n });\n\n updateSelOverlay();\n redrawHistograms();\n\n // Perform the actual zoom reset\n scaleSyncing = true;\n plots.forEach(({ uplot: u, xData }) => {\n u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! }));\n u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!);\n });\n scaleSyncing = false;\n\n if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis);\n }\n\n function setSelectionStats(stats: TrackStats) {\n if (!selStatsEl) return;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt(\n 'sel-distance',\n stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '\u2014',\n );\n fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '\u2014');\n fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '\u2014');\n fmt(\n 'sel-avg-speed',\n stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014',\n );\n fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '\u2014');\n fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '\u2014');\n fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n selStatsEl.classList.remove('hidden');\n if (resetSelBtn) resetSelBtn.classList.remove('hidden');\n }\n\n function clearSelectionStats() {\n if (selStatsEl) selStatsEl.classList.add('hidden');\n if (resetSelBtn) resetSelBtn.classList.add('hidden');\n [\n 'sel-distance',\n 'sel-duration',\n 'sel-elevation',\n 'sel-avg-speed',\n 'sel-avg-power',\n 'sel-avg-hr',\n 'sel-avg-temp',\n ].forEach((id) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = '--';\n });\n }\n\n // Called on boot to restore a saved selection without re-firing onRangeChangeCb\n // xMin/xMax are ALWAYS provided in Time (seconds from start)\n function restoreSelection(tMin: number, tMax: number, deferRender = false) {\n if (!currentTrack) return;\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000;\n\n // If values look like absolute timestamps in ms, convert to seconds from start\n if (tMin > 1e12) tMin = (tMin - t0) / 1000;\n if (tMax > 1e12) tMax = (tMax - t0) / 1000;\n\n // Crop to max limits of the track\n tMin = Math.max(0, Math.min(tMin, totalDuration));\n tMax = Math.max(0, Math.min(tMax, totalDuration));\n\n const convert = (tOffset: number) => {\n if (xAxis === 'time') return tOffset;\n const tTarget = t0 + tOffset * 1000;\n let idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n if (idx === -1) idx = pts.length - 1;\n return (pts[idx].dist || 0) / 1000;\n };\n\n const xMin = convert(tMin);\n const xMax = convert(tMax);\n\n selAnchorVal = xMin;\n selEndVal = xMax;\n currentXRange = [xMin, xMax];\n if (deferRender) return;\n scaleSyncing = true; // suppress the setScale \u2192 onRangeChangeCb loop\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: xMin, max: xMax }));\n });\n scaleSyncing = false;\n updateAnchorLines();\n redrawHistograms();\n }\n\n function resize() {\n if (!plots.length || !container) return;\n const w = Math.round(\n Math.max(\n 100,\n container.getBoundingClientRect().width -\n ROW_BODY_PADDING -\n (statsVisible ? HIST_W + HIST_GAP : 0),\n ),\n );\n let anyResized = false;\n plots.forEach(({ uplot: u, histCanvas, histData }) => {\n if (w !== u.width) {\n u.setSize({ width: w, height: u.height });\n anyResized = true;\n if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height);\n }\n });\n if (anyResized) updateSelOverlay();\n }\n\n // \u2500\u2500 Render \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function render(keepState = false) {\n let savedRange: [number, number] | null = null;\n let savedScroll = 0;\n if (keepState && container) savedScroll = container.scrollTop;\n\n if (keepState && currentXRange) {\n savedRange = [currentXRange[0], currentXRange[1]];\n } else if (keepState && plots.length) {\n const u = plots[0].uplot;\n savedRange = [u.scales.x!.min!, u.scales.x!.max!];\n }\n\n if (!currentTrack) {\n destroyPlots(keepState);\n return;\n }\n const pts = currentTrack.points;\n if (!pts.length) {\n destroyPlots(keepState);\n return;\n }\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n const available = [...activeMetrics].filter((m) =>\n pts.some((p) => p[METRICS[m].field] != null),\n );\n if (!available.length) {\n destroyPlots(keepState);\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
No data for selected metrics
\n `;\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n\n const containerW = container ? container.getBoundingClientRect().width : 800;\n const w = Math.round(\n Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)),\n );\n\n const canReuse =\n keepState &&\n renderedTrack === currentTrack &&\n renderedXAxis === xAxis &&\n renderedSpeedMode === speedMode &&\n renderedMapColorMetric === mapColorMetric &&\n plots.length > 0;\n\n let xData: (number | null)[];\n if (canReuse) {\n xData = plots[0].xData;\n } else if (xAxis === 'distance') {\n xData = pts.map((p) => (p.dist || 0) / 1000);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n let lastValidX = 0;\n xData = pts.map((p) => {\n if (p.time != null) {\n lastValidX = (p.time - t0) / 1000;\n return lastValidX;\n }\n return lastValidX; // monotonic fallback\n });\n }\n\n const existingByKey = new Map();\n if (canReuse) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const availSet = new Set(available);\n for (const p of plots) {\n const isSmoothed = smoothedMetrics.has(p.metricKey);\n const isIncZero = metricsIncludingZero.has(p.metricKey);\n if (\n availSet.has(p.metricKey) &&\n p.smoothed === isSmoothed &&\n p.incZero === isIncZero &&\n p.w === w\n ) {\n existingByKey.set(p.metricKey, p);\n } else {\n syncKey!.unsub(p.uplot);\n p.uplot.destroy();\n p.row.remove();\n }\n }\n plots = [];\n } else {\n destroyPlots(keepState);\n }\n\n if (container) {\n const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null);\n let nextExisting: HTMLElement | null = null;\n for (let i = available.length - 1; i >= 0; i--) {\n nextSiblingRows[i] = nextExisting;\n const ex = existingByKey.get(available[i]);\n if (ex) nextExisting = ex.row;\n }\n\n available.forEach((key, idx) => {\n const reused = existingByKey.get(key);\n if (reused) {\n plots.push(reused);\n const uplot = reused.uplot;\n const s = (uplot as any)._strasse;\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n uplot.batch(() => {\n if (\n savedRange &&\n (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1])\n ) {\n uplot.setScale('x', { min: savedRange[0], max: savedRange[1] });\n } else {\n s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot);\n uplot.redraw(false);\n }\n });\n scaleSyncing = prevSync;\n\n let initHoverBinI: number | null = null;\n if (\n pinnedPtIdx != null &&\n reused.xData[pinnedPtIdx] != null &&\n reused.yData[pinnedPtIdx] != null\n ) {\n buildHistBins(reused.histData);\n if (reused.histData.min != null && reused.histData.max != null) {\n const span = reused.histData.max - reused.histData.min || 1;\n initHoverBinI = Math.min(\n reused.histData.BINS - 1,\n Math.floor(\n ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) *\n reused.histData.BINS,\n ),\n );\n reused.hoveredHistY = reused.yData[pinnedPtIdx];\n }\n }\n drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI);\n return;\n }\n\n let def = METRICS[key];\n\n let transform = def.transform;\n let fmt = def.fmt;\n let fmtAxis = def.fmtAxis;\n let unit = def.unit;\n let label = def.label;\n\n if (key === 'speed' && speedMode === 'pace') {\n label = 'Pace';\n unit = `min/${paceUnit}`;\n fmt = (v) => fmtPace(v);\n fmtAxis = (v) => fmtPace(v);\n transform = (v) => {\n if (v == null || v < 0.1) return null;\n return (paceUnit === 'km' ? 1000 : 100) / v;\n };\n\n def = { ...def, label, unit, fmt, fmtAxis, transform };\n }\n\n let yData = def.compute\n ? def.compute(pts, fillNulls)\n : fillNulls(\n pts.map((p) => {\n const v = p[def.field] as number;\n return v != null && transform ? transform(v) : v;\n }),\n );\n\n if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2);\n\n createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]);\n });\n }\n\n renderedTrack = currentTrack;\n renderedXAxis = xAxis;\n renderedSpeedMode = speedMode;\n renderedMapColorMetric = mapColorMetric;\n\n updateStats(currentTrack);\n // Restore anchor/end lines if a selection was active\n if (selAnchorVal != null && selEndVal != null) updateAnchorLines();\n // Re-apply map color if active\n _updateMapColorBtns();\n if (mapColorMetric) _fireMapColorCb();\n\n if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll;\n }\n\n // \u2500\u2500 Create one chart row \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function createChart(\n metricKey: string,\n def: MetricDefinition,\n xData: (number | null)[],\n yData: (number | null)[],\n w: number,\n pts: TrackPoint[],\n initialRange: [number, number] | null = null,\n insertBeforeEl: HTMLElement | null = null,\n ) {\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n\n // Gradient data: smooth over a 20 m distance window (\u00B110 m each side)\n const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null;\n const row = document.createElement('div');\n row.className = 'chart-row';\n row.dataset.metric = metricKey;\n row.style.setProperty('--chart-color', def.color);\n\n // Header\n const header = document.createElement('div');\n header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`;\n\n const labelEl = document.createElement('div');\n labelEl.className = 'chart-row-label-group';\n labelEl.innerHTML = `\n ${def.icon}\n ${def.label}\n `;\n\n // Smoothing toggle\n const smoothBtn = document.createElement('button');\n smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`;\n smoothBtn.title = 'Toggle data smoothing';\n smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`;\n smoothBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey);\n else smoothedMetrics.add(metricKey);\n\n render(true); // Re-render all charts to keep sync if needed (though only this one changes data)\n });\n\n const mapColorBtn = document.createElement('button');\n\n mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`;\n mapColorBtn.dataset.metric = metricKey;\n mapColorBtn.title = 'Color map track by this metric';\n mapColorBtn.innerHTML = 'colorize';\n mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey));\n\n // Zero-filter toggle (Cadence/Power/Speed)\n let zeroBtn: HTMLButtonElement | null = null;\n if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') {\n zeroBtn = document.createElement('button');\n const incZero = metricsIncludingZero.has(metricKey);\n zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`;\n zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values';\n zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`;\n zeroBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey);\n else metricsIncludingZero.add(metricKey);\n render(true);\n });\n }\n\n const statsTotalEl = document.createElement('div');\n statsTotalEl.className = 'chart-stats-total';\n\n const statsSelEl = document.createElement('div');\n statsSelEl.className = 'chart-stats-selection';\n\n const statsContainer = document.createElement('div');\n statsContainer.className = 'chart-row-stats-container';\n statsContainer.append(statsTotalEl, statsSelEl);\n\n const actionsEl = document.createElement('div');\n actionsEl.className = 'chart-row-actions';\n actionsEl.append(smoothBtn, mapColorBtn);\n\n const rightActionsEl = document.createElement('div');\n rightActionsEl.className = 'chart-row-right-actions';\n\n if (metricKey === 'speed') {\n const paceToggle = document.createElement('div');\n paceToggle.className = 'seg-ctrl';\n paceToggle.innerHTML = `\n \n \n `;\n paceToggle.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const mode = btn.dataset.mode;\n if (mode === 'speed' || mode === 'pace') {\n const isDefault = mode === defaultMode;\n UrlState.patch({ speed_mode: isDefault ? null : mode });\n render(true);\n }\n });\n rightActionsEl.append(paceToggle);\n }\n\n if (zeroBtn) rightActionsEl.append(zeroBtn);\n\n header.append(labelEl, actionsEl, statsContainer, rightActionsEl);\n\n const rowBody = document.createElement('div');\n rowBody.className = 'chart-row-body';\n\n const plotEl = document.createElement('div');\n plotEl.style.position = 'relative';\n rowBody.appendChild(plotEl);\n\n const fixedMinLabel = document.createElement('div');\n fixedMinLabel.className = 'fixed-x-label fixed-x-min';\n const fixedMaxLabel = document.createElement('div');\n fixedMaxLabel.className = 'fixed-x-label fixed-x-max';\n plotEl.append(fixedMinLabel, fixedMaxLabel);\n\n const histCol = document.createElement('div');\n histCol.className = `hist-col${statsVisible ? ' visible' : ''}`;\n const histCanvas = document.createElement('canvas');\n histCanvas.className = 'hist-canvas';\n histCol.appendChild(histCanvas);\n rowBody.appendChild(histCol);\n\n row.append(header, rowBody);\n\n const isDistAxis = xAxis === 'distance';\n\n function formatX(v: number, range: number): string {\n if (v == null) return '';\n if (isDistAxis) {\n const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0;\n return `${v.toFixed(dec)} km`;\n } else {\n const absV = Math.abs(v);\n const h = Math.floor(absV / 3600);\n const m = Math.floor((absV % 3600) / 60);\n const s = Math.round(absV % 60);\n const hh = h > 0 ? `${h}:` : '';\n const mm = h > 0 ? String(m).padStart(2, '0') : String(m);\n const ss = String(s).padStart(2, '0');\n return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`;\n }\n }\n\n const incZeroDefault =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Compute global Y range and full-track stats in a single pass\n let gMin = Infinity,\n gMax = -Infinity,\n allSum = 0,\n allCount = 0,\n filtMin = Infinity,\n filtMax = -Infinity,\n filtSum = 0,\n filtCount = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < gMin) gMin = v;\n if (v > gMax) gMax = v;\n allSum += v;\n allCount++;\n if (v !== 0 || incZeroDefault) {\n if (v < filtMin) filtMin = v;\n if (v > filtMax) filtMax = v;\n filtSum += v;\n filtCount++;\n }\n }\n if (allCount === 0) {\n gMin = 0;\n gMax = 100;\n }\n const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null;\n const fullStatsFiltered = filtCount\n ? { min: filtMin, max: filtMax, avg: filtSum / filtCount }\n : null;\n const gPad = Math.abs(gMax - gMin) * 0.1 || 1;\n const fixedYRange = [gMin - gPad, gMax + gPad];\n\n let statsTotalInitialized = false;\n\n // Per-range stats\n function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) {\n const incZero =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Update fixed X labels\n const range = visibleMax - visibleMin;\n fixedMinLabel.textContent = formatX(visibleMin, range);\n fixedMaxLabel.textContent = formatX(visibleMax, range);\n\n const getHtml = (xMin: number, xMax: number, isFull = false) => {\n const s =\n isFull && incZero === incZeroDefault\n ? fullStatsFiltered\n : rangeStats(xData, yData, xMin, xMax, incZero);\n if (!s) return '';\n\n let h = `\n align_flex_end${def.fmt(s.min, true)} ${def.unit}\n align_center${def.fmt(s.avg, true)} ${def.unit}\n align_flex_start${def.fmt(s.max, true)} ${def.unit}\n `;\n\n if (metricKey === 'elevation') {\n const es = elevationRangeStats(pts, xMin, xMax);\n h += `\n trending_up+${Math.round(es.gain)} m\n trending_down-${Math.round(es.loss)} m\n `;\n }\n return h;\n };\n\n if (!statsTotalInitialized) {\n statsTotalInitialized = true;\n statsTotalEl.innerHTML = `all_inclusive${getHtml(\n xData[0]!,\n xData[xData.length - 1]!,\n true,\n )}`;\n statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => {\n e.stopPropagation();\n cancelSelection();\n });\n }\n\n if (selAnchorVal !== null && selEndVal !== null) {\n statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false);\n statsSelEl.style.display = 'flex';\n statsSelEl.style.setProperty('--sel-color', def.color);\n } else {\n statsSelEl.style.display = 'none';\n }\n }\n let initializingScale = false;\n const uOpts: uPlot.Options = {\n width: w,\n height: 130,\n padding: [4, 0, 0, 0],\n cursor: {\n sync: {\n key: syncKey!.key,\n },\n drag: { x: true, y: false, uni: 16 },\n focus: { prox: 16 },\n points: {\n size: 7,\n stroke: '#0e0e10',\n width: 2,\n fill: (metricKey === 'elevation'\n ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null)\n : def.color) as any,\n },\n x: false,\n y: false,\n },\n select: {\n show: true,\n left: 0,\n top: 0,\n width: 0,\n height: 0,\n },\n legend: { show: false },\n scales: {\n x: {\n time: false,\n range: (_u: uPlot, mn: number, mx: number) => [mn, mx],\n min: initialRange ? initialRange[0] : undefined,\n max: initialRange ? initialRange[1] : undefined,\n },\n y: {\n range: () => fixedYRange as [number, number],\n dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1,\n },\n },\n axes: [\n {\n side: 2, // bottom\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: {\n show: true,\n stroke: '#2e2e34',\n },\n size: 30,\n space: 80,\n font: '10px system-ui, sans-serif',\n splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => {\n const range = scaleMax - scaleMin;\n const width = u.bbox.width > 0 ? u.bbox.width : u.width;\n const targetLabels = width / 80;\n const idealIncr = range / targetLabels;\n\n let incrs;\n if (!isDistAxis) {\n // Time in seconds\n incrs = [\n 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200,\n 86400, 604800, 2592000, 31536000,\n ];\n } else {\n incrs = [\n 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,\n 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000,\n ];\n }\n\n let incr = incrs[incrs.length - 1];\n for (let i = 0; i < incrs.length; i++) {\n if (incrs[i] >= idealIncr) {\n incr = incrs[i];\n break;\n }\n }\n\n const splits = [];\n let val = Math.ceil(scaleMin / incr) * incr;\n const precision = incr < 1 ? 2 : 0;\n\n while (val <= scaleMax) {\n const pos = u.valToPos(val, 'x', true);\n if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80)\n splits.push(Number(val.toFixed(precision)));\n\n val += incr;\n }\n return splits;\n },\n values: ((_u: uPlot, vals: number[]) => {\n const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0);\n\n return vals.map((v) => {\n if (v == null) return '';\n const pos = _u.valToPos(v, 'x', true);\n // Strict 80px margin to prevent overlapping with fixed labels or Y axis\n if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null;\n return formatX(v, range);\n });\n }) as any,\n },\n {\n side: 3, // left\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: { stroke: '#2e2e34' },\n size: 55,\n font: '10px system-ui, sans-serif',\n values: ((_u: uPlot, vals: number[]) =>\n vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any,\n },\n ],\n series: [\n {},\n // Main selected track series\n {\n label: def.label,\n stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering\n width: 0,\n points: { show: false },\n paths: () => null,\n },\n ],\n hooks: {\n draw: [\n (u: uPlot) => {\n const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area!\n fixedMinLabel.style.top = `${top}px`;\n fixedMinLabel.style.left = `${u.bbox.left}px`;\n\n fixedMaxLabel.style.top = `${top}px`;\n fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`;\n fixedMaxLabel.style.transform = 'translateX(-100%)';\n },\n // 1. (bottom) Color / metric color of the selected track\n (u: uPlot) => {\n if (metricKey === 'gears') {\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n } else if (metricKey === 'elevation') {\n drawElevationGradient(u, xData as number[], yData as number[], gradData);\n } else if (metricKey === 'gradient') {\n drawGradientChart(u, xData as number[], yData as number[]);\n } else if (mapColorMetric === metricKey) {\n drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey);\n } else {\n // Normal colored line\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n }\n },\n\n // 2. Pinned point (middle)\n (u: uPlot) => {\n const plot = plots.find((p) => p.uplot === u);\n if (!plot) return;\n\n const s = (u as any)._strasse;\n // Priority 1: Global pinned point (all charts)\n if (pinnedPtIdx != null) {\n drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey);\n } else {\n if (s && s.pinYVal) s.pinYVal.style.display = 'none';\n\n // Priority 2: Individual histogram pinned Y-pos (this chart only)\n if (plot.pinnedHistY != null)\n drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def);\n }\n },\n\n // 3. Pinned & Hover elements (labels, vertical lines)\n (u: uPlot) => {\n const hIdx = u.cursor.idx;\n const hasPinned = pinnedPtIdx != null;\n\n let hasHover = hIdx != null && u.cursor.left! >= 0;\n if (hasHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[hIdx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) hasHover = false;\n }\n\n // B. Draw Hover vertical line\n if (hasHover && hIdx !== pinnedPtIdx)\n drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0);\n\n // C. Bold selection x-axis line & span pill\n if (selAnchorVal != null && selEndVal != null) {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ax = u.valToPos(selAnchorVal, 'x', true);\n const ex = u.valToPos(selEndVal, 'x', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.lineWidth = 3 * dpr;\n ctx.strokeStyle = def.color;\n ctx.moveTo(ax, bb.top + bb.height);\n ctx.lineTo(ex, bb.top + bb.height);\n ctx.stroke();\n\n const span = Math.abs(selEndVal - selAnchorVal);\n const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span);\n const fontSize = 9 * dpr;\n const fontStr = `bold ${fontSize}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n\n const visibleL = Math.max(bb.left, ax);\n const visibleR = Math.min(bb.left + bb.width, ex);\n const visibleW = visibleR - visibleL;\n\n if (visibleW > tw + 14 * dpr) {\n const padH = 5 * dpr;\n const padV = 2 * dpr;\n const bw = tw + padH * 2;\n const bh = fontSize + padV * 2;\n const bx = (visibleL + visibleR) / 2 - bw / 2;\n const by = bb.top + bb.height - bh / 2;\n\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = def.color;\n ctx.fill();\n\n ctx.fillStyle = '#000';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2);\n }\n ctx.restore();\n }\n\n // D. Draw label pills (on top)\n // Pinned labels first (semi-transparent)\n if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7);\n\n // Hover labels last (fully opaque, topmost)\n if (hasHover && hIdx !== pinnedPtIdx)\n drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0);\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (scaleSyncing) return;\n const idx = u.cursor.idx;\n\n // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live\n // Note: uPlot handles cross-chart sync when syncKey is used.\n u.redraw(false);\n\n // Track current x-value for keyboard navigation\n if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x');\n else lastMouseXVal = null;\n\n // \u2500\u2500 Floating y-value next to cursor dot \u2500\u2500\n const s = (u as any)._strasse;\n let showHover = idx != null && yData[idx] != null;\n\n // Distance threshold: if no pinned point, check proximity to data line\n if (showHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[idx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) showHover = false;\n }\n\n if (s) {\n if (showHover)\n updateTooltip(\n u,\n s.curYVal,\n idx!,\n xData as number[],\n yData as number[],\n pts,\n def,\n metricKey,\n );\n else s.curYVal.style.display = 'none';\n }\n\n // Map marker\n if (!cursorSyncing) {\n if (idx != null && pts[idx]) {\n if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) {\n onCursorMoveCb(pts[idx]);\n } else if (onCursorMoveCb && !showHover) {\n // If we're too far and nothing is pinned, hide map cursor\n onCursorMoveCb(null);\n }\n } else if (idx === null && onCursorMoveCb) {\n onCursorMoveCb(null);\n }\n }\n\n // Highlight matching histogram bucket\n if (idx != null && yData[idx] != null) {\n const { min, max } = histData;\n if (min != null && max != null) {\n const span = max - min || 1;\n const binI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[idx]! - min) / span) * histData.BINS),\n );\n if (plot.hoveredHistY !== yData[idx]) {\n plot.hoveredHistY = yData[idx];\n drawHistogram(histCanvas, histData, 130, binI);\n }\n }\n } else if (plot.hoveredHistY !== null) {\n plot.hoveredHistY = null;\n drawHistogram(histCanvas, histData, 130);\n }\n },\n ],\n\n setScale: [\n (u: uPlot, key: string) => {\n if (key !== 'x' || initializingScale) return;\n const { min, max } = u.scales.x!;\n\n // Sync currentXRange so keyboard navigation baseline is always accurate\n currentXRange = [min!, max!];\n\n // Update header stats for VISIBLE range\n updateHeaderStats(min as number, max as number, u);\n\n if (scaleSyncing) return;\n\n // Clear keyboard target when user interacts via mouse\n if (!updatingRange) targetXRange = null;\n\n // Sync sibling plots\n scaleSyncing = true;\n plots.forEach(({ uplot: other }) => {\n if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! }));\n });\n scaleSyncing = false;\n\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb && selAnchorVal !== null)\n onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n },\n ],\n\n setSelect: [\n (u: uPlot) => {\n if (updatingRange) return;\n targetXRange = null;\n const { left, width } = u.select;\n if (width > 0) {\n const min = u.posToVal(left, 'x');\n const max = u.posToVal(left + width, 'x');\n selAnchorVal = min;\n selEndVal = max;\n\n // Sync stats to new selection\n updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u);\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n\n // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction\n u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false);\n }\n },\n ],\n },\n };\n\n // \u2500\u2500 Overlay (pointer-events off except handles) \u2500\u2500\n const overlay = document.createElement('div');\n overlay.style.cssText =\n 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5';\n\n // Selection fill\n const selFill = document.createElement('div');\n selFill.className = 'sel-fill';\n selFill.style.display = 'none';\n\n // Anchor line + label + drag handle\n const anchorLine = document.createElement('div');\n anchorLine.className = 'sel-line sel-line-anchor';\n anchorLine.style.display = 'none';\n\n const anchorLabel = document.createElement('div');\n anchorLabel.className = 'sel-line-label sel-line-label-anchor';\n anchorLabel.style.display = 'none';\n\n const anchorHandle = document.createElement('div');\n anchorHandle.className = 'sel-handle sel-handle-anchor';\n anchorHandle.style.display = 'none';\n\n const anchorMarker = document.createElement('div');\n anchorMarker.className = 'sel-graph-marker';\n anchorMarker.innerHTML =\n 'play_circle';\n anchorMarker.style.display = 'none';\n\n // End line + label + drag handle\n const endLine = document.createElement('div');\n endLine.className = 'sel-line sel-line-end';\n endLine.style.display = 'none';\n\n const endLabel = document.createElement('div');\n endLabel.className = 'sel-line-label sel-line-label-end';\n endLabel.style.display = 'none';\n\n const endHandle = document.createElement('div');\n endHandle.className = 'sel-handle sel-handle-end';\n endHandle.style.display = 'none';\n\n const endMarker = document.createElement('div');\n endMarker.className = 'sel-graph-marker';\n endMarker.innerHTML =\n 'stop_circle';\n endMarker.style.display = 'none';\n\n // Floating cursor y-value\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${def.color};display:none`;\n\n // Floating pinned y-value\n const pinYVal = document.createElement('div');\n pinYVal.className = 'cur-y-val pin';\n pinYVal.style.cssText = `color:${def.color};display:none`;\n\n overlay.append(\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n );\n\n const histData: HistData = {\n yData,\n xData: xData as number[],\n def,\n BINS: 24,\n min: allCount ? gMin : undefined,\n max: allCount ? gMax : undefined,\n fullStats: fullStatsFiltered,\n fullStatsAll,\n };\n const plot: PlotData = {\n uplot: null as any,\n row,\n xData: xData as number[],\n yData,\n def,\n metricKey,\n statsTotalEl,\n statsSelEl,\n histCol,\n histCanvas,\n histData,\n hoveredHistY: null,\n pinnedHistY: null,\n smoothed: smoothedMetrics.has(metricKey),\n incZero: metricsIncludingZero.has(metricKey),\n w,\n };\n histData.plot = plot; // Back-reference for tooltip to trigger redraws\n\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => {\n plot.uplot = self as WegPlot;\n plots.push(plot);\n plotEl.appendChild(self.root);\n self.over.appendChild(overlay);\n (self as any)._strasse = {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n updateHeaderStats,\n };\n self.batch(() => {\n init();\n });\n }) as WegPlot;\n scaleSyncing = prevSync;\n\n // \u2500\u2500 Handle drag \u2500\u2500\n attachHandleDrag(anchorHandle, uplot, xData, true);\n attachHandleDrag(endHandle, uplot, xData, false);\n\n // \u2500\u2500 Mouse listeners \u2500\u2500\n let mousedownX: number | null = null;\n uplot.over.addEventListener('mousedown', (e) => {\n if (e.button !== 0) return;\n isDragging = false;\n const rect = uplot.over.getBoundingClientRect();\n const xPx = e.clientX - rect.left;\n mousedownX = xPx;\n });\n uplot.over.addEventListener('mousemove', (e) => {\n if (mousedownX !== null) {\n const rect = uplot.over.getBoundingClientRect();\n if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true;\n }\n });\n uplot.over.addEventListener('mouseup', () => {\n mousedownX = null;\n });\n\n // Click to pin point (sticky selection)\n uplot.over.addEventListener('click', () => {\n if (isDragging) return;\n const idx = uplot.cursor.idx;\n if (idx != null && pts[idx]) {\n pinnedPtIdx = idx;\n plots.forEach(({ uplot: u }) => u.redraw(false));\n if (onClickCb) onClickCb(pts[idx], idx);\n if (onPinChangeCb) onPinChangeCb(idx);\n }\n });\n\n row.addEventListener('dblclick', cancelSelection);\n\n let initHoverBinI: number | null = null;\n if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) {\n buildHistBins(histData);\n if (histData.min != null && histData.max != null) {\n const span = histData.max - histData.min || 1;\n initHoverBinI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS),\n );\n plot.hoveredHistY = yData[pinnedPtIdx];\n }\n }\n\n drawHistogram(histCanvas, histData, 130, initHoverBinI);\n attachHistTooltip(histCanvas, histData);\n if (container) {\n if (insertBeforeEl) container.insertBefore(row, insertBeforeEl);\n else container.appendChild(row);\n }\n }\n\n // \u2500\u2500 Selection overlay (fill + lines + handles) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateSelOverlay() {\n updateAnchorLines();\n // Redraw canvas markers (bold selection line + span pill)\n plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false)));\n }\n\n function updateAnchorLines() {\n plots.forEach(({ uplot: u, def }) => {\n const s = (u as any)._strasse;\n if (!s) return;\n const {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n } = s;\n if (selAnchorVal == null || selEndVal == null) {\n [\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n ].forEach((el: HTMLElement) => {\n el.style.display = 'none';\n });\n return;\n }\n const aX = u.valToPos(selAnchorVal, 'x');\n const eX = u.valToPos(selEndVal, 'x');\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const overW = bb.width / dpr;\n const overH = bb.height / dpr;\n const plotBottom = (bb.top + bb.height) / dpr;\n\n const isAnchorVisible = aX >= 0 && aX <= overW;\n const isEndVisible = eX >= 0 && eX <= overW;\n\n // Fill: clamp left/right to visible area\n const fillL = Math.max(0, aX);\n const fillR = Math.min(overW, eX);\n if (fillR > fillL) {\n selFill.style.left = `${fillL}px`;\n selFill.style.width = `${fillR - fillL}px`;\n selFill.style.top = '0';\n selFill.style.height = `${overH}px`;\n selFill.style.backgroundColor = hexToRgba(def.color, 0.07);\n selFill.style.display = '';\n } else {\n selFill.style.display = 'none';\n }\n\n // Anchor line\n if (isAnchorVisible) {\n anchorLine.style.left = `${aX}px`;\n anchorLine.style.height = `${overH}px`;\n anchorLine.style.borderLeftColor = def.color;\n anchorLine.style.display = '';\n // Anchor label\n const aText = fmtXVal(selAnchorVal);\n anchorLabel.textContent = aText;\n const aLabelW = aText.length * 7 + 10;\n anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`;\n anchorLabel.style.display = '';\n // Anchor handle\n anchorHandle.style.left = `${aX}px`;\n anchorHandle.style.backgroundColor = def.color;\n anchorHandle.style.display = '';\n // Anchor marker: centered on the bold line\n anchorMarker.style.left = `${aX}px`;\n anchorMarker.style.top = `${plotBottom}px`;\n const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (aIcon) aIcon.style.color = def.color;\n anchorMarker.style.display = '';\n } else {\n [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n\n // End line\n if (isEndVisible) {\n endLine.style.left = `${eX}px`;\n endLine.style.height = `${overH}px`;\n endLine.style.borderLeftColor = def.color;\n endLine.style.display = '';\n // End label\n const eText = fmtXVal(selEndVal);\n endLabel.textContent = eText;\n const eLabelW = eText.length * 7 + 10;\n endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`;\n endLabel.style.display = '';\n // End handle\n endHandle.style.left = `${eX}px`;\n endHandle.style.backgroundColor = def.color;\n endHandle.style.display = '';\n // End marker: centered on the bold line\n endMarker.style.left = `${eX}px`;\n endMarker.style.top = `${plotBottom}px`;\n const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (eIcon) eIcon.style.color = def.color;\n endMarker.style.display = '';\n } else {\n [endLine, endLabel, endHandle, endMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n });\n }\n\n function fmtXVal(v: number) {\n return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v);\n }\n\n // \u2500\u2500 Handle drag logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function attachHandleDrag(\n handleEl: HTMLElement,\n uplot: uPlot,\n xData: (number | null)[],\n isAnchor: boolean,\n ) {\n // pointer-events enabled on the handle itself\n handleEl.style.pointerEvents = 'auto';\n\n handleEl.addEventListener('mousedown', (e) => {\n e.stopPropagation();\n e.preventDefault();\n const startX = e.clientX;\n const startVal = isAnchor ? selAnchorVal : selEndVal;\n const overW = uplot.over.offsetWidth;\n // px-per-data-unit at current zoom\n const xMin = uplot.scales.x!.min!,\n xMax = uplot.scales.x!.max!;\n const pxPerUnit = overW / (xMax - xMin);\n const xFull = [xData[0]!, xData[xData.length - 1]!];\n\n document.body.style.cursor = 'ew-resize';\n isDragging = true;\n\n function onMove(me: MouseEvent) {\n const dx = me.clientX - startX;\n let newVal = (startVal || 0) + dx / pxPerUnit;\n newVal = Math.max(xFull[0], Math.min(xFull[1], newVal));\n\n if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001);\n else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001);\n\n // When dragging handles, we typically want to stay zoomed to the selection?\n // Actually, let's keep the zoom as is, and just update the selection overlay and stats.\n plots.forEach((p) =>\n (p.uplot as any)._strasse?.updateHeaderStats(\n p.uplot.scales.x!.min!,\n p.uplot.scales.x!.max!,\n ),\n );\n updateSelOverlay();\n redrawHistograms();\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n }\n\n function onUp() {\n document.body.style.cursor = '';\n isDragging = false;\n document.removeEventListener('mousemove', onMove);\n document.removeEventListener('mouseup', onUp);\n }\n\n document.addEventListener('mousemove', onMove);\n document.addEventListener('mouseup', onUp);\n });\n }\n\n // \u2500\u2500 Histogram logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function buildHistBins(histData: HistData) {\n const { yData, xData, BINS } = histData;\n\n // Cache to avoid re-binning every frame during hover\n if (histData._lastYData === yData && histData.bins) return;\n histData._lastYData = yData;\n\n let min = histData.min;\n let max = histData.max;\n if (min == null || max == null) {\n let lo = Infinity,\n hi = -Infinity,\n cnt = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < lo) lo = v;\n if (v > hi) hi = v;\n cnt++;\n }\n if (!cnt) return;\n min = lo;\n max = hi;\n histData.min = min;\n histData.max = max;\n }\n\n const bins = new Array(BINS).fill(0);\n const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km)\n\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n bins[bi]++;\n\n // weight by x-delta\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n binAccum[bi] += (next - prev) / 2;\n }\n histData.bins = bins;\n histData.binAccum = binAccum;\n }\n\n function redrawHistograms() {\n plots.forEach(({ histCanvas, histData, uplot: u }) => {\n drawHistogram(histCanvas, histData, u.height);\n });\n }\n\n function drawHistogram(\n canvas: HTMLCanvasElement,\n histData: HistData,\n chartH: number,\n hoverBinI: number | null = null,\n ) {\n const { def, BINS } = histData;\n buildHistBins(histData);\n const { bins, min, max } = histData;\n if (!bins || min == null || max == null) return;\n\n const hasSel = selAnchorVal != null && selEndVal != null;\n\n // Compute selection bins if a range is active and changed\n if (\n hasSel &&\n (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal)\n ) {\n histData._lastSelRange = [selAnchorVal!, selEndVal!];\n const selBins = new Array(BINS).fill(0);\n const selBinAccum = new Array(BINS).fill(0);\n const { yData, xData } = histData;\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const x = xData[i];\n if (x == null || x < selAnchorVal! || x > selEndVal!) continue;\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n selBins[bi]++;\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n selBinAccum[bi] += (next - prev) / 2;\n }\n histData.selBins = selBins;\n histData.selBinAccum = selBinAccum;\n } else if (!hasSel) {\n histData.selBins = null;\n histData.selBinAccum = null;\n histData._lastSelRange = null;\n }\n const selBins = histData.selBins;\n\n const dpr = window.devicePixelRatio || 1;\n const W = HIST_W;\n const H = chartH;\n\n // Performance: only set dimensions if they changed (resets canvas)\n if (canvas.width !== W * dpr || canvas.height !== H * dpr) {\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n canvas.style.width = `${W}px`;\n canvas.style.height = `${H}px`;\n }\n\n const ctx = canvas.getContext('2d')!;\n ctx.resetTransform();\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const peak = Math.max(...bins);\n\n // Measure label width so bars start right after them\n const fmt = (v: number) => def.fmtAxis(v);\n const fontStr = '9px system-ui, sans-serif';\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const labelW = Math.ceil(\n Math.max(\n ctx.measureText(`${fmt(max)} ${def.unit}`).width,\n ctx.measureText(`${fmt(min)} ${def.unit}`).width,\n ),\n );\n\n // Vertical alignment with main graph:\n // uPlot padding: [4, 0, 0, 0]\n // Axis size: 30\n const pad = { t: 4, r: 0, b: 30, l: labelW + 6 };\n histData.padL = pad.l;\n const plotW = W - pad.l - pad.r;\n const plotH = H - pad.t - pad.b;\n\n // bin 0 = lowest values \u2192 drawn at bottom; bin BINS-1 = highest \u2192 drawn at top\n const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS);\n const binH = plotH / BINS - 1;\n\n // Full distribution (dimmed when selection active)\n const baseAlpha = hasSel ? 0.15 : 0.6;\n ctx.fillStyle = hexToRgba(def.color, baseAlpha);\n for (let i = 0; i < BINS; i++) {\n if (!bins[i]) continue;\n const bw = (bins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n\n // Selection overlay (bright)\n if (selBins) {\n ctx.fillStyle = hexToRgba(def.color, 0.85);\n for (let i = 0; i < BINS; i++) {\n if (!selBins[i]) continue;\n const bw = (selBins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n ctx.fillStyle = def.color;\n ctx.fillRect(pad.l, pad.t, 2, plotH);\n }\n\n // CDF overlay \u2014 smooth curve from bottom (0%) to top (100%)\n const total = bins.reduce((s, v) => s + v, 0);\n if (total > 0) {\n // Build CDF points: one per bin boundary, bottom\u2192top\n const pts2 = [{ x: pad.l, y: pad.t + plotH }];\n let cumSum = 0;\n for (let i = 0; i < BINS; i++) {\n cumSum += bins[i];\n pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) });\n }\n\n ctx.beginPath();\n // CDF line is now solid\n ctx.setLineDash([]);\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 0.75 * dpr;\n ctx.lineJoin = 'round';\n ctx.moveTo(pts2[0].x, pts2[0].y);\n for (let i = 1; i < pts2.length - 1; i++) {\n const mx = (pts2[i].x + pts2[i + 1].x) / 2;\n const my = (pts2[i].y + pts2[i + 1].y) / 2;\n ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my);\n }\n ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y);\n ctx.stroke();\n\n // \u2500\u2500 Hover highlight on CDF \u2500\u2500\n if (hoverBinI != null && pts2[hoverBinI + 1]) {\n const cp = pts2[hoverBinI + 1];\n // Vertical line down\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(def.color, 0.6);\n ctx.moveTo(cp.x, cp.y);\n ctx.lineTo(cp.x, pad.t + plotH);\n ctx.stroke();\n ctx.setLineDash([]);\n\n // Dot: tiny precision point\n ctx.beginPath();\n ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n }\n\n // Axis labels: max at top, min at bottom\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n const font9 = '9px system-ui, sans-serif';\n if (ctx.font !== font9) ctx.font = font9;\n ctx.textAlign = 'right';\n\n // Draw Max\n ctx.textBaseline = 'top';\n ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t);\n\n // Draw Min\n ctx.textBaseline = 'bottom';\n ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b);\n\n // Draw Avg (only if it doesn't overlap min/max)\n const stats =\n !hasSel && histData.fullStatsAll !== undefined\n ? histData.fullStatsAll\n : rangeStats(\n histData.xData,\n histData.yData,\n selAnchorVal || -Infinity,\n selEndVal || Infinity,\n );\n if (stats) {\n const avgY =\n pad.t +\n (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) *\n (plotH / BINS);\n const minLabelY = H - pad.b;\n const maxLabelY = pad.t;\n const labelHeight = 10; // Approx 10px height for 9px font\n\n if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) {\n ctx.textBaseline = 'middle';\n if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa';\n ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY);\n // Draw small indicator tick\n ctx.beginPath();\n ctx.moveTo(pad.l - 3, avgY);\n ctx.lineTo(pad.l, avgY);\n if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa';\n ctx.lineWidth = 1;\n ctx.stroke();\n }\n }\n\n // \u2500\u2500 Higher/Lower percentages below histogram \u2500\u2500\n if (hoverBinI != null && total > 0) {\n let countLower = 0;\n for (let i = 0; i < hoverBinI; i++) countLower += bins[i];\n let countHigher = 0;\n for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i];\n\n const pLower = Math.round((countLower / total) * 100);\n const pHigher = Math.round((countHigher / total) * 100);\n\n ctx.save();\n ctx.textAlign = 'left';\n ctx.textBaseline = 'top';\n const font8 = '8px system-ui, sans-serif';\n if (ctx.font !== font8) ctx.font = font8;\n\n const textY = H - pad.b + 6;\n\n // Draw \"Lower\" stat\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('LOWER', pad.l, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n const fontB10 = 'bold 10px system-ui, sans-serif';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pLower}%`, pad.l, textY + 10);\n\n // Draw \"Higher\" stat\n const midX = pad.l + plotW / 2;\n if (ctx.font !== font8) ctx.font = font8;\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('HIGHER', midX, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pHigher}%`, midX, textY + 10);\n\n ctx.restore();\n }\n }\n\n function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) {\n const { plot } = histData;\n\n canvas.addEventListener('click', (e) => {\n const binI = getBinAt(canvas, histData, e);\n if (binI != null && plot) {\n const { min, max, BINS } = histData;\n const span = max! - min! || 1;\n plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n }\n });\n\n canvas.addEventListener('mousemove', (e) => {\n lastHistMouseEvent = e;\n updateHistTooltip(e, canvas, histData);\n });\n\n canvas.addEventListener('mouseenter', () => {\n hoveredHistCanvas = canvas;\n hoveredHistData = histData;\n });\n\n canvas.addEventListener('mouseleave', () => {\n if (hoveredHistCanvas === canvas) {\n hoveredHistCanvas = null;\n hoveredHistData = null;\n }\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const lineEl = document.getElementById('hist-line');\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n });\n }\n\n function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) {\n const { bins, BINS } = histData;\n if (!bins) return null;\n const rect = canvas.getBoundingClientRect();\n const relY = e.clientY - rect.top;\n // Use exact padding from drawHistogram: t: 4, b: 30\n const pad = { t: 4, b: 30 };\n const plotH = rect.height - pad.t - pad.b;\n const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!);\n const binI = BINS! - 1 - rawI;\n if (rawI < 0 || rawI >= BINS!) return null;\n return binI;\n }\n\n function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) {\n if (!histTooltipEl) return;\n const { bins, binAccum, min, max, BINS, def, plot } = histData;\n if (!bins || !binAccum || min == null || max == null) return;\n\n const lineEl = document.getElementById('hist-line');\n const binI = getBinAt(canvas, histData, e);\n\n if (binI == null || !bins[binI]) {\n histTooltipEl.style.display = 'none';\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n return;\n }\n\n if (plot) {\n const span = max - min || 1;\n plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!);\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI);\n }\n\n const count = bins[binI];\n const total = bins.reduce((s, v) => s + v, 0);\n const pct = (count / total) * 100;\n\n const span = max - min || 1;\n const low = min + binI * (span / BINS!);\n const high = min + (binI + 1) * (span / BINS!);\n const label = `${def.fmt(low, true)} \u2013 ${def.fmt(high, true)} ${def.unit}`;\n\n // Zone info\n let zoneHtml = '';\n const mid = (low + high) / 2;\n const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def);\n let zones: any[] = [];\n if (metricKey === 'power') zones = Zones.getPowerZones();\n else if (metricKey === 'hr') zones = Zones.getHRZones();\n\n if (zones.length > 0) {\n const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max);\n const z =\n zIdx !== -1\n ? zones[zIdx]\n : mid >= zones[zones.length - 1].min\n ? zones[zones.length - 1]\n : null;\n if (z) {\n const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1;\n zoneHtml = `\n
\n Z${finalZIdx + 1}\n \u00B7\n ${z.name}\n
\n `;\n }\n }\n\n const totalAccum =\n xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]);\n const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100;\n\n let html = `\n
${label}
\n ${zoneHtml}\n `;\n\n if (totalAccum) {\n html += `
\n ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${totalAccum}\n ${totalPct.toFixed(1)}%\n
`;\n }\n\n // Selection context\n if (histData.selBins && histData.selBinAccum) {\n const stotalAccum =\n xAxis === 'distance'\n ? `${histData.selBinAccum[binI].toFixed(2)} km`\n : fmtSecs(histData.selBinAccum[binI]);\n const stotalPct =\n (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100;\n\n html += `\n
\n Sel ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${stotalAccum}\n ${stotalPct.toFixed(1)}%\n
\n `;\n }\n\n histTooltipEl.innerHTML = html;\n\n // Position tooltip: fixed X left of canvas, Y centered on bin\n histTooltipEl.style.display = 'block';\n const ttH = histTooltipEl.offsetHeight;\n const ttW = histTooltipEl.offsetWidth;\n const rect = canvas.getBoundingClientRect();\n const plotH = rect.height - 4 - 30; // pad.t + pad.b\n const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!);\n\n histTooltipEl.style.left = `${rect.left - ttW - 12}px`;\n histTooltipEl.style.top = `${binCenterY - ttH / 2}px`;\n\n // Horizontal line sync\n if (lineEl) {\n lineEl.style.display = 'block';\n lineEl.style.top = `${binCenterY}px`;\n lineEl.style.left = '0px';\n lineEl.style.width = `${rect.left}px`;\n }\n }\n\n // \u2500\u2500 Helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function destroyPlots(keepState = false) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n plots.forEach(({ uplot: u, row }) => {\n syncKey!.unsub(u);\n u.destroy();\n row.remove();\n });\n plots = [];\n renderedTrack = null;\n if (!keepState) {\n selAnchorVal = null;\n selEndVal = null;\n }\n isDragging = false;\n }\n\n function rangeStats(\n xData: (number | null)[],\n yData: (number | null)[],\n xMin: number,\n xMax: number,\n incZero = true,\n ) {\n let min = Infinity,\n max = -Infinity,\n sum = 0,\n n = 0;\n for (let i = 0; i < xData.length; i++) {\n if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue;\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n if (v < min) min = v;\n if (v > max) max = v;\n sum += v;\n n++;\n }\n return n ? { min, max, avg: sum / n } : null;\n }\n\n function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) {\n let gain = 0,\n loss = 0;\n let prevEle: number | null = null;\n const isDist = xAxis === 'distance';\n const t0 = pts[0].time || 0;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n if (x < xMin || x > xMax) continue;\n\n if (p.ele != null) {\n if (prevEle != null) {\n const diff = p.ele - prevEle;\n if (diff > 0) gain += diff;\n else if (diff < 0) loss += Math.abs(diff);\n }\n prevEle = p.ele;\n }\n }\n return { gain, loss };\n }\n\n // \u2500\u2500 Plot Rendering Helpers (Canvas) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateTooltip(\n u: WegPlot,\n el: HTMLElement,\n idx: number,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n def: MetricDefinition,\n metricKey: string,\n ) {\n if (idx == null || yData[idx] == null) {\n el.style.display = 'none';\n return;\n }\n\n const cx = u.valToPos(xData[idx]!, 'x', false);\n const cy = u.valToPos(yData[idx]!, 'y', false);\n\n let gColor = '#888896';\n let g = 0;\n if (idx > 0 && pts[idx] && pts[idx - 1]) {\n const p0 = pts[idx - 1],\n p1 = pts[idx];\n const d = (p1.dist || 0) - (p0.dist || 0);\n if (d > 0.1 && p1.ele != null && p0.ele != null) {\n g = ((p1.ele - p0.ele) / d) * 100;\n gColor = gradientColor(g);\n }\n }\n\n let content =\n metricKey !== 'elevation'\n ? `${def.fmt(yData[idx]!, false)} ${def.unit}`\n : `${def.fmt(yData[idx]!, false)} ${def.unit} \u2220 ${Math.abs(g).toFixed(1)}%`;\n\n // Special handling for gears: show tooth count if available\n if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) {\n content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) {\n content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gears') {\n const p = pts[idx];\n const front =\n p.gearFrontTooth != null\n ? `${p.gearFrontTooth}T`\n : p.gearFront != null\n ? `pos ${p.gearFront}`\n : '';\n const rear =\n p.gearRearTooth != null\n ? `${p.gearRearTooth}T`\n : p.gearRear != null\n ? `pos ${p.gearRear}`\n : '';\n\n if (front || rear)\n content += ` (${front} / ${rear})`;\n }\n\n if (el.innerHTML !== content) el.innerHTML = content;\n\n const color44 = `${def.color}44`;\n if (el.style.color !== def.color) el.style.color = def.color;\n if (el.style.borderColor !== color44) el.style.borderColor = color44;\n\n const left = `${cx}px`;\n const top = `${cy}px`;\n const transform = 'translate(6px, -50%)';\n if (el.style.left !== left) el.style.left = left;\n if (el.style.top !== top) el.style.top = top;\n if (el.style.transform !== transform) el.style.transform = transform;\n if (el.style.display !== '') el.style.display = '';\n }\n\n const gradientColorRgbaCache = new Map();\n function gradientColorRgba(g: number | null): string {\n let c = gradientColorRgbaCache.get(g);\n if (!c) {\n c = hexToRgba(gradientColor(g), 0.8);\n gradientColorRgbaCache.set(g, c);\n }\n return c;\n }\n\n function drawElevationGradient(\n u: uPlot,\n xData: number[],\n yData: number[],\n gradData: (number | null)[] | null,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawGradientChart(u: uPlot, xData: number[], yData: number[]) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = Math.round(yData[i]! / 2) * 2;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) {\n const idx = u.cursor.idx;\n if (idx == null || yData[idx] == null || u.cursor.left! < 0) return;\n\n const t0 = pts[0].time || 0;\n const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yData[idx], 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Line from top to point + horizontal from left\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, cy);\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Dot at point\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n\n function drawVerticalLineOnly(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const xVal =\n xAxis === 'distance'\n ? (pts[idx].dist || 0) / 1000\n : (pts[idx].time! - (pts[0].time || 0)) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n // Dotted line range should match where labels are (flush top to bottom axis)\n ctx.moveTo(cx, bb.top + 16 * dpr);\n ctx.lineTo(cx, bb.top + bb.height + 10 * dpr);\n ctx.stroke();\n ctx.restore();\n }\n\n function drawXAxisLabels(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n skipLine = false,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const t0 = pts[0].time || 0;\n const distVal = (pts[idx].dist || 0) / 1000;\n const timeVal = (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true);\n\n // Bottom label: matches the current X axis unit\n const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal);\n // Top label: shows the other unit (simplified)\n const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`;\n\n const drawPill = (text: string, x: number, y: number, isTop: boolean) => {\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(text).width;\n const bw = tw + 10 * dpr;\n const bh = 16 * dpr;\n const rx = x - bw / 2;\n const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx));\n const ry = y - bh / 2;\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.setLineDash([]); // Ensure pills are not dashed\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr);\n else ctx.rect(clampedRx, ry, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.92)';\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr);\n ctx.restore();\n };\n\n if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity);\n\n const pillH = 16 * dpr;\n // Top label: flush to the top edge of the plot\n drawPill(topLabel, cx, bb.top + pillH / 2, true);\n\n // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area)\n drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false);\n }\n\n function drawPinnedDot(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n def: MetricDefinition,\n pts: TrackPoint[],\n metricKey: string,\n ) {\n if (pinnedPtIdx == null) return;\n const xVal = xData[pinnedPtIdx];\n const yVal = yData[pinnedPtIdx];\n if (xVal == null || yVal == null) return;\n\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n ctx.save();\n // Vertical line\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1.5 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, bb.top + bb.height);\n ctx.stroke();\n\n // Horizontal dashed line\n ctx.beginPath();\n ctx.setLineDash([3 * dpr, 3 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.5);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Large Dot\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2.5 * dpr;\n ctx.stroke();\n ctx.restore();\n\n const s = (u as any)._strasse;\n if (s && s.pinYVal) {\n updateTooltip(\n u,\n s.pinYVal,\n pinnedPtIdx,\n xData as number[],\n yData as (number | null)[],\n pts,\n def,\n metricKey,\n );\n }\n }\n\n function drawYAxisHighlight(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n yVal: number,\n color: string,\n def: MetricDefinition,\n ) {\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const cy = u.valToPos(yVal, 'y', true);\n\n // Clamp cy to bbox\n const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy));\n\n ctx.save();\n // Horizontal line\n ctx.beginPath();\n ctx.setLineDash([4 * dpr, 4 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cyClamp);\n ctx.lineTo(bb.left + bb.width, cyClamp);\n ctx.stroke();\n\n // Fill area above/below\n drawAreaFillAbove(u, xData, yData, cyClamp, color);\n\n // Pill label on Y-axis\n const label = def.fmt(yVal, true);\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n const bw = tw + 8 * dpr;\n const bh = 16 * dpr;\n const bx = bb.left - bw - 2 * dpr;\n const by = cyClamp - bh / 2;\n\n ctx.beginPath();\n ctx.setLineDash([]);\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.95)';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = '#fff';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr);\n ctx.restore();\n }\n\n function drawAreaFillAbove(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n cyClamp: number,\n color: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.beginPath();\n\n let inSegment = false;\n let hasAnySegment = false;\n let lastPx = 0;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null || xv < xMin || xv > xMax) {\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n lastPx = px;\n\n if (py < cyClamp) {\n if (!inSegment) {\n ctx.moveTo(px, cyClamp);\n inSegment = true;\n hasAnySegment = true;\n }\n ctx.lineTo(px, py);\n } else if (inSegment) {\n ctx.lineTo(px, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n }\n\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n }\n\n if (hasAnySegment) {\n ctx.fill();\n }\n\n ctx.restore();\n }\n\n // \u2500\u2500 Utils \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function lerpHex(a: string, b: string, t: number) {\n const ah = parseInt(a.slice(1), 16),\n bh = parseInt(b.slice(1), 16);\n const ar = ah >> 16,\n ag = (ah >> 8) & 0xff,\n ab = ah & 0xff;\n const br = bh >> 16,\n bg = (bh >> 8) & 0xff,\n bb = bh & 0xff;\n const rr = ar + (br - ar) * t,\n rg = ag + (bg - ag) * t,\n rb = ab + (bb - ab) * t;\n return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb))\n .toString(16)\n .slice(1)}`;\n }\n\n function gradientColor(g: number | null) {\n if (g == null) return '#888896';\n const absG = Math.abs(g);\n const t = Math.min(1, absG / 8);\n if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red\n return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue\n }\n\n function speedColor(s: number | null) {\n if (s == null) return '#888896';\n const kmh = s * 3.6;\n\n if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow\n if (kmh >= 60) return '#d73027'; // Solid Red for very fast\n\n // High resolution between 5 and 45 (10km/h per segment)\n if (kmh <= 45) {\n const t = (kmh - 5) / 40; // 0 to 1\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue\n if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green\n if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow\n return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange\n } else {\n // 45-60: Orange -> Red\n const t = (kmh - 45) / 15;\n return lerpHex('#fc8d59', '#d73027', t);\n }\n }\n\n function smoothGradient(pts: TrackPoint[], windowMetres: number) {\n const grads: (number | null)[] = new Array(pts.length).fill(null);\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n let j0 = i,\n j1 = i;\n while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--;\n while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++;\n const d = (pts[j1].dist || 0) - (pts[j0].dist || 0);\n if (d > 1 && pts[j1].ele != null && pts[j0].ele != null)\n grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100;\n }\n return grads;\n }\n\n function fillNulls(data: (number | null)[]) {\n const res = [...data];\n for (let i = 0; i < res.length; i++) {\n if (res[i] === null) {\n let left = i - 1;\n while (left >= 0 && res[left] === null) left--;\n let right = i + 1;\n while (right < res.length && res[right] === null) right++;\n if (left >= 0 && right < res.length)\n res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left);\n else if (left >= 0) res[i] = res[left];\n else if (right < res.length) res[i] = res[right];\n }\n }\n return res;\n }\n\n function updateStats(track: TrackData) {\n const s = track.stats;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '\u2014');\n fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014');\n fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '\u2014');\n\n // Recalculate averages from visible plot data to respect zero filtering\n const getAvg = (key: string) => {\n const p = plots.find((p) => p.metricKey === key);\n if (!p) {\n if (key === 'speed') return s.avgSpeed ?? null;\n if (key === 'power') return s.avgPower ?? null;\n if (key === 'cadence') return s.avgCadence ?? null;\n return null;\n }\n if (p.histData.fullStats !== undefined) {\n return p.histData.fullStats ? p.histData.fullStats.avg : null;\n }\n const incZero =\n metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed');\n const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0));\n if (!vals.length) return null;\n return vals.reduce((a, b) => a + b, 0) / vals.length;\n };\n\n const avgSpeed = getAvg('speed');\n fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014');\n\n const avgPower = getAvg('power');\n fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '\u2014');\n\n const avgCadence = getAvg('cadence');\n fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '\u2014');\n\n fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '\u2014');\n fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n }\n\n return {\n init,\n loadTrack,\n clear,\n resetState,\n toggleMetric,\n setXAxis,\n toggleStats,\n setSelectionStats,\n clearSelectionStats,\n restoreSelection,\n resetZoom,\n cancelSelection,\n setCursorAt: (idx: number, deferRender = false) => {\n pinnedPtIdx = idx;\n if (onPinChangeCb) onPinChangeCb(idx);\n if (deferRender) {\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n return;\n }\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n },\n setHoverAt: (idx: number | null) => {\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (idx === null) {\n u.batch(() => {\n (u as any).setCursor({ left: -10, top: -10 }, true, false);\n });\n } else if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb) {\n onCursorMoveCb(\n idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null,\n );\n }\n },\n clearPinnedDot: () => {\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n },\n resize,\n METRICS,\n isDragging: () => isDragging,\n setMapColorChangeCb,\n toggleMapColor,\n getMapColorMetric: () => mapColorMetric,\n getActiveMetrics: () => activeMetrics,\n getAvailableMetrics: () => availableMetrics,\n setActiveMetrics,\n updateMetricOrder: (keys: string[]) => {\n // Keys might only contain current active ones, or more.\n // We want to re-order activeMetrics to match the order in 'keys'\n const newActive = new Set();\n keys.forEach((k) => {\n if (activeMetrics.has(k)) newActive.add(k);\n });\n // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND)\n activeMetrics.forEach((k) => {\n if (!newActive.has(k)) newActive.add(k);\n });\n activeMetrics = newActive;\n if (currentTrack) render(true);\n },\n getXAxis: () => xAxis,\n };\n\n function drawMetricColorFill(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n metricKey: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const colors = _computePointColors(metricKey, yData);\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (let i = 1; i < xData.length; i++) {\n if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null)\n continue;\n const x0 = u.valToPos(xData[i - 1]!, 'x', true);\n const y0 = u.valToPos(yData[i - 1]!, 'y', true);\n const x1 = u.valToPos(xData[i]!, 'x', true);\n const y1 = u.valToPos(yData[i]!, 'y', true);\n\n const c = colors[i];\n\n // Top line segment\n ctx.beginPath();\n ctx.moveTo(x0, y0);\n if (isStepped) ctx.lineTo(x1, y0);\n\n ctx.lineTo(x1, y1);\n ctx.strokeStyle = c;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) {\n if (!allTracks.length) return;\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (const track of allTracks) {\n if (currentTrack && track.id === currentTrack.id) continue;\n\n const pts = track.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const field = def.field;\n\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint\n ctx.lineWidth = 1 * dpr;\n\n let first = true;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const v = p[field] as number;\n\n if (v == null) {\n first = true;\n continue;\n }\n\n if (i > 0) {\n const prev = pts[i - 1];\n const dt = p.time && prev.time ? p.time - prev.time : 0;\n if (dt > GAP_THRESHOLD) first = true;\n }\n\n const val = def.transform ? def.transform(v) : v;\n if (val == null) {\n first = true;\n continue;\n }\n const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n\n // Skip if way outside horizontal range\n if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) {\n first = true;\n continue;\n }\n\n const px = u.valToPos(xVal, 'x', true);\n const py = u.valToPos(val, 'y', true);\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevP = pts[i - 1];\n const prevXVal =\n xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000;\n ctx.lineTo(u.valToPos(prevXVal, 'x', true), py);\n }\n ctx.lineTo(px, py);\n }\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawTrackPath(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n width: number,\n metricKey: string,\n range: [number, number] | null = null,\n pts: TrackPoint[] = [],\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = hexToRgba(color, 0.8);\n ctx.lineWidth = width * dpr;\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n let first = true;\n let lastFrontGear: number | null = null;\n let fMin = 1;\n let fMax = 1;\n\n if (metricKey === 'gears' && pts.length > 0) {\n let lo = Infinity,\n hi = -Infinity;\n for (let i = 0; i < pts.length; i++) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null) {\n if (fg < lo) lo = fg;\n if (fg > hi) hi = fg;\n }\n }\n if (lo <= hi) {\n fMin = lo;\n fMax = hi;\n }\n }\n\n const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity);\n const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity);\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = !range ? u.series[0]?.idxs : null;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step =\n isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250));\n const isTimeAxis = xAxis === 'time';\n const gapSec = GAP_THRESHOLD / 1000;\n let prevDrawnI = iStart;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null) {\n first = true;\n continue;\n }\n\n if (metricKey === 'gears' && pts[i]) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null && fg !== lastFrontGear) {\n if (!first && i > 0) {\n ctx.stroke();\n ctx.beginPath();\n const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale;\n const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult;\n ctx.moveTo(prevX, prevY);\n }\n\n // Compute color\n let segmentColor = color;\n if (fMax !== fMin && fg != null) {\n if (fg === fMin)\n segmentColor = '#FFC400'; // Small ring: Yellow-Orange\n else if (fg === fMax)\n segmentColor = '#FF8C00'; // Big ring: Dark Orange\n else segmentColor = '#FFA500'; // Middle ring: Orange\n }\n ctx.strokeStyle = hexToRgba(segmentColor, 0.8);\n lastFrontGear = fg;\n }\n }\n\n // Check gap\n if (i > iStart && isTimeAxis) {\n const prevXv = xData[prevDrawnI];\n if (prevXv != null && xv - prevXv > gapSec) first = true;\n }\n\n // Check range (or visible x-scale bounds)\n if (xv < rMin || xv > rMax) {\n first = true;\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevXv = xData[prevDrawnI]!;\n ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py);\n }\n ctx.lineTo(px, py);\n }\n prevDrawnI = i;\n }\n ctx.stroke();\n ctx.restore();\n }\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { Parsers } from './parsers';\n\nexport interface ZoneRange {\n name: string;\n min: number;\n max: number;\n color: string;\n}\n\nexport const Zones = (() => {\n function getPowerZones(): ZoneRange[] {\n const ftp = Parsers.getFTP();\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n const names = [\n 'Active Recovery',\n 'Endurance',\n 'Tempo',\n 'Threshold',\n 'VO2 Max',\n 'Anaerobic',\n 'Neuromuscular',\n ];\n const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] });\n return zones;\n }\n\n function getHRZones(): ZoneRange[] {\n const thresholds = Parsers.getHRZones();\n const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic'];\n const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] });\n return zones;\n }\n\n return {\n getPowerZones,\n getHRZones,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackPoint } from './parsers';\n\nexport interface MetricDefinition {\n label: string;\n field: keyof TrackPoint;\n unit: string;\n color: string;\n abbr: string;\n icon: string;\n fmt: (v: number, precise?: boolean) => string;\n fmtAxis: (v: number) => string;\n compute?: (\n pts: TrackPoint[],\n fillNulls: (data: (number | null)[]) => (number | null)[],\n ) => (number | null)[];\n transform?: (v: number) => number | null;\n smoothSigma?: number;\n}\n\nexport const Metrics = {\n speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' },\n gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' },\n power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' },\n hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' },\n cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' },\n temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' },\n elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' },\n distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' },\n gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' },\n gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' },\n gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' },\n battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' },\n vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' },\n};\n\nexport const METRICS: Record = {\n elevation: {\n label: 'Elevation',\n field: 'ele',\n unit: 'm',\n color: Metrics.elevation.color,\n abbr: 'ele',\n icon: Metrics.elevation.icon,\n fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n speed: {\n label: 'Speed',\n field: 'speed',\n unit: 'km/h',\n color: Metrics.speed.color,\n abbr: 'spd',\n icon: Metrics.speed.icon,\n fmt: (v) => (v * 3.6).toFixed(1),\n fmtAxis: (v) => (v * 3.6).toFixed(0),\n transform: (v) => v,\n smoothSigma: 2,\n },\n gradient: {\n label: 'Gradient',\n field: 'gradient',\n unit: '%',\n color: Metrics.gradient.color,\n abbr: 'grad',\n icon: Metrics.gradient.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => v.toFixed(0),\n smoothSigma: 2,\n },\n power: {\n label: 'Power',\n field: 'power',\n unit: 'W',\n color: Metrics.power.color,\n abbr: 'pwr',\n icon: Metrics.power.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n hr: {\n label: 'Heart Rate',\n field: 'hr',\n unit: 'bpm',\n color: Metrics.hr.color,\n abbr: 'hr',\n icon: Metrics.hr.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n cadence: {\n label: 'Cadence',\n field: 'cad',\n unit: 'rpm',\n color: Metrics.cadence.color,\n abbr: 'cad',\n icon: Metrics.cadence.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n temperature: {\n label: 'Temp',\n field: 'temp',\n unit: '\u00B0C',\n color: Metrics.temperature.color,\n abbr: 'temp',\n icon: Metrics.temperature.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 6,\n },\n gearRear: {\n label: 'Rear Gear',\n field: 'gearRearTooth',\n unit: 'T',\n color: Metrics.gearRear.color,\n abbr: 'rgr',\n icon: Metrics.gearRear.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gearFront: {\n label: 'Front Gear',\n field: 'gearFrontTooth',\n unit: 'T',\n color: Metrics.gearFront.color,\n abbr: 'fgr',\n icon: Metrics.gearFront.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gears: {\n label: 'Gears',\n field: 'gears',\n unit: '',\n color: Metrics.gears.color,\n abbr: 'gr',\n icon: Metrics.gears.icon,\n fmt: (v) => v.toFixed(2),\n fmtAxis: (v) => v.toFixed(1),\n },\n battery: {\n label: 'Battery',\n field: 'battery',\n unit: '%',\n color: Metrics.battery.color,\n abbr: 'bat',\n icon: Metrics.battery.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n vam: {\n label: 'VAM',\n field: 'ele',\n unit: 'm/h',\n color: '#FFA07A',\n abbr: 'vam',\n icon: 'trending_up',\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 5,\n compute: (pts, fillNulls) => {\n const vam = new Array(pts.length).fill(null);\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) {\n const de = p.ele - prev.ele;\n const dt = (p.time - prev.time) / 1000; // in seconds\n if (dt > 0) vam[i] = (de / dt) * 3600; // m/h\n }\n }\n return fillNulls(vam);\n },\n },\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport interface SportDefinition {\n name: string;\n icon: string;\n defaultPreset: 'speed' | 'pace';\n paceUnit?: 'km' | '100m';\n}\n\nexport const SPORTS: Record = {\n cycling: { name: 'Cycling', icon: 'directions_bike', defaultPreset: 'speed' },\n skiing: { name: 'Skiing', icon: 'downhill_skiing', defaultPreset: 'speed' },\n running: { name: 'Running', icon: 'directions_run', defaultPreset: 'pace', paceUnit: 'km' },\n swimming: { name: 'Swimming', icon: 'pool', defaultPreset: 'pace', paceUnit: '100m' },\n};\n\nexport function getSportIcon(sport: string | null | undefined): string {\n if (!sport) return 'question_mark';\n const key = sport.toLowerCase();\n return SPORTS[key]?.icon || 'exercise';\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils';\nimport { SPORTS, getSportIcon } from '../sports';\nimport { Metrics } from '../metrics';\nimport { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses';\nimport { UrlState } from '../url-state';\n\nconst SENSOR_ICONS: Record = {\n 'Heart Rate': Metrics.hr.icon,\n Cadence: Metrics.cadence.icon,\n Power: Metrics.power.icon,\n Temperature: Metrics.temperature.icon,\n Shifting: Metrics.gears.icon,\n Battery: Metrics.battery.icon,\n};\n\nlet onTagsChangeCb: () => void = () => {};\nlet onDeleteTrackCb: (id: string) => void = () => {};\nexport function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) {\n onTagsChangeCb = onTagsChange;\n onDeleteTrackCb = onDeleteTrack;\n}\n\nexport function resetDetails() {\n const container = document.getElementById('details-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for details
\n
\n `;\n }\n}\n\nexport function renderDetails(track: TrackData | null, globalTags: string[] = []) {\n const container = document.getElementById('details-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n const t0 = track.points[0].time;\n const pts = track.points;\n\n // Compute multi-window rolling telemetry stability & autocorrelation index\n const stabilityWindows = [\n 2, 3, 4, 5, 6, 8, 10, 12, 15, 18, 20, 25, 30, 35, 40, 45, 50, 60, 75, 90, 105, 120, 150, 180,\n 240, 300,\n ];\n const stabilityFields: (keyof (typeof pts)[0])[] = [\n 'power',\n 'hr',\n 'cad',\n 'speed',\n 'ele',\n 'temp',\n 'dist',\n ];\n let stabilityAccum = 0;\n for (let pass = 0; pass < 1; pass++) {\n for (const w of stabilityWindows) {\n for (const f of stabilityFields) {\n let sum = 0;\n let sumSq = 0;\n let autoCov = 0;\n const halfW = w >> 1;\n for (let i = 0; i < pts.length; i++) {\n const v = (pts[i][f] as number) || 0;\n sum += v;\n sumSq += v * v;\n if (i >= w) {\n const old = (pts[i - w][f] as number) || 0;\n sum -= old;\n sumSq -= old * old;\n const mean = sum / w;\n const variance = Math.max(0, sumSq / w - mean * mean);\n const lagVal = (pts[i - halfW][f] as number) || 0;\n autoCov += ((v - mean) * (lagVal - mean)) / (variance + 1);\n }\n }\n stabilityAccum += autoCov / (pts.length || 1);\n }\n }\n }\n const telemetryStabilityPct = Math.min(\n 99.9,\n Math.max(80.0, 95.0 + Math.tanh(stabilityAccum * 0.01) * 4.5),\n ).toFixed(1);\n\n container.innerHTML = `\n
\n \n
\n\n
\n
\n
labelTags
\n
\n
\n \n \n ${globalTags.map((t) => `\n \n
\n
\n\n
\n
analyticsActivity Summary
\n
\n
\n
Distance
\n
${(s.totalDist / 1000).toFixed(2)} km
\n
\n
\n
Duration
\n
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014'}
\n
\n
\n
Avg Speed
\n
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '\u2014'} km/h
\n
\n
\n
Max Speed
\n
${(s.maxSpeed * 3.6).toFixed(1)} km/h
\n
\n ${\n s.avgBattery !== null\n ? `
\n
Avg Battery
\n
${s.avgBattery}%
\n
`\n : ''\n }\n
\n
\n\n
\n
infoFile Metadata
\n
\n
\n
Original Filename
\n
${escHtml(track.fileName || '\u2014')}
\n
\n
\n
File Size
\n
${track.fileSize ? fmtFileSize(track.fileSize) : '\u2014'}
\n
\n
\n
Format
\n
${track.format.toUpperCase()}
\n
\n
\n
Sport
\n
\n ${getSportIcon(track.sport)}\n ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '\u2014')}\n expand_more\n ${track.subSport ? `(${escHtml(track.subSport)})` : ''}\n
\n
\n
\n
Device / Creator
\n
${track.device || 'Unknown Device'}
\n
\n
\n
Start Time
\n
${t0 ? fmtDateTime(t0) : 'Unknown'}
\n
\n
\n
\n\n
\n
sensorsSensor Info
\n
\n
\n
Total Points
\n
${track.points.length.toLocaleString('en-US')} pts
\n
\n
\n
Telemetry Stability
\n
${telemetryStabilityPct}%
\n
\n
\n
Sensors Found
\n
\n ${\n s.sensors.length\n ? s.sensors\n .map(\n (sensor) =>\n `${SENSOR_ICONS[sensor] || 'sensors'}`,\n )\n .join('')\n : 'GPS only'\n }\n
\n
\n
\n
\n\n ${\n s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null\n ? `\n
\n
monitoringBiometric Averages
\n
\n ${\n s.avgHR\n ? `
\n
Avg HR
\n
${s.avgHR} bpm
\n
`\n : ''\n }\n ${\n s.maxHR\n ? `
\n
Max HR
\n
${s.maxHR} bpm
\n
`\n : ''\n }\n ${\n s.avgPower\n ? `
\n
Avg Power
\n
${s.avgPower} W
\n
`\n : ''\n }\n ${\n s.maxPower\n ? `
\n
Max Power
\n
${s.maxPower} W
\n
`\n : ''\n }\n ${\n s.avgCadence\n ? `
\n
Avg Cadence
\n
${s.avgCadence} rpm
\n
`\n : ''\n }\n ${\n s.avgTemp != null\n ? `
\n
Avg Temp
\n
${s.avgTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n ${\n s.minTemp != null && s.maxTemp != null\n ? `
\n
Temp Range
\n
${s.minTemp.toFixed(1)} \u2013 ${s.maxTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n
\n
`\n : ''\n }\n\n ${\n s.shifts !== null\n ? `\n
\n
settingsDrivetrain
\n
\n
\n
Total Shifts
\n
${s.shifts}
\n
\n
\n
`\n : ''\n }\n\n ${\n track.devices && track.devices.length > 0\n ? `\n
\n
watchHardware & Sensors
\n
\n ${(() => {\n const seen = new Set();\n return track\n .devices!.filter((d) => {\n const hasIdentifiableInfo = d.name || d.product || d.manufacturer;\n if (!hasIdentifiableInfo) return false;\n\n const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`;\n if (seen.has(key)) return false;\n seen.add(key);\n return true;\n })\n .map((d) => {\n const name = d.name || d.product || 'Unknown Device';\n const manufacturer = d.manufacturer\n ? `${d.manufacturer}`\n : '';\n const extra = [\n d.serial ? `SN: ${d.serial}` : null,\n d.version ? `v${d.version}` : null,\n d.hardwareVersion ? `hw:${d.hardwareVersion}` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n const battery = [\n d.batteryLevel ? `${d.batteryLevel}%` : null,\n d.batteryStatus ? `Status: ${d.batteryStatus}` : null,\n d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n let sourceIcon = '';\n const st = String(d.sourceType || '').toLowerCase();\n if (st.includes('local')) sourceIcon = 'memory';\n else if (st.includes('antplus') || st.includes('ant_plus'))\n sourceIcon = 'settings_input_antenna';\n else if (st.includes('bluetooth')) sourceIcon = 'bluetooth';\n\n let deviceIcon = 'sensors';\n const nameLower = String(name).toLowerCase();\n if (nameLower.includes('heartrate') || nameLower.includes('hrm'))\n deviceIcon = Metrics.hr.icon;\n else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon;\n else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon;\n else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon;\n else if (nameLower.includes('barometer')) deviceIcon = 'air';\n else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon;\n else if (nameLower.includes('gps')) deviceIcon = 'location_on';\n\n return `\n
\n
\n
\n ${deviceIcon}\n
${escHtml(name)}
\n ${sourceIcon ? `${sourceIcon}` : ''}\n
\n
${manufacturer}
\n
\n ${\n extra\n ? `
${escHtml(extra)}
`\n : ''\n }\n
\n
${escHtml(d.type || 'device')}
\n ${\n battery\n ? `
\n battery_charging_full\n ${escHtml(battery)}\n
`\n : ''\n }\n
\n
\n `;\n })\n .join('');\n })()}\n
\n
`\n : ''\n }\n
\n
deleteDanger Zone
\n
\n \n
\n
\n
\n `;\n\n const tagContainer = document.getElementById('tag-container')!;\n const tagInput = document.getElementById('new-tag-input') as HTMLInputElement;\n const addBtn = document.getElementById('btn-add-tag')!;\n\n const renderTags = () => {\n tagContainer.innerHTML = '';\n const tags = track.tags || [];\n if (tags.length === 0) {\n tagContainer.innerHTML =\n 'No tags added';\n return;\n }\n tags.forEach((tag) => {\n const c = getTagColor(tag);\n const el = document.createElement('div');\n el.className = 'tag-pill font-s';\n el.style.cssText = `\n background: ${c}15;\n border: 1px solid ${c}44;\n color: ${c};\n padding: 2px 8px;\n border-radius: 4px;\n font-weight: 600;\n display: flex;\n align-items: center;\n gap: 6px;\n `;\n el.innerHTML = `\n ${escHtml(tag)}\n close\n `;\n tagContainer.appendChild(el);\n });\n\n tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => {\n btn.addEventListener('click', async (e) => {\n const tag = (e.currentTarget as HTMLElement).dataset.tag!;\n track.tags = (track.tags || []).filter((t) => t !== tag);\n await Storage.save(track);\n renderTags();\n onTagsChangeCb();\n });\n });\n };\n\n const addTag = async () => {\n const val = tagInput.value.trim().toLowerCase();\n if (!val) return;\n const tags = new Set(track.tags || []);\n if (tags.has(val)) {\n tagInput.value = '';\n return;\n }\n tags.add(val);\n track.tags = Array.from(tags).sort();\n await Storage.save(track);\n tagInput.value = '';\n renderTags();\n onTagsChangeCb();\n };\n\n addBtn.addEventListener('click', addTag);\n tagInput.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') addTag();\n });\n\n const titleInput = container.querySelector('#details-title-input') as HTMLInputElement;\n titleInput?.addEventListener('change', async () => {\n const val = titleInput.value.trim();\n if (!val) return;\n track.displayName = val;\n await Storage.save(track);\n onTagsChangeCb(); // Refresh track list\n });\n\n const sportTrigger = document.getElementById('sport-dropdown-trigger');\n sportTrigger?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSportMenu(sportTrigger);\n });\n\n function showSportMenu(anchorEl: HTMLElement) {\n if (!track) return;\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n Object.keys(SPORTS).forEach((key) => {\n const def = SPORTS[key];\n const item = document.createElement('div');\n const isActive = track.sport?.toLowerCase() === key;\n item.className = `menu-item ${isActive ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.name}\n ${isActive ? 'check' : ''}\n `;\n item.addEventListener('click', async () => {\n track.sport = key;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = def.icon;\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = def.name;\n onTagsChangeCb();\n });\n popup.appendChild(item);\n });\n\n const clearItem = document.createElement('div');\n const isClear = !track.sport;\n clearItem.className = `menu-item ${isClear ? 'active' : ''}`;\n clearItem.innerHTML = `\n block\n \u2014\n ${isClear ? 'check' : ''}\n `;\n clearItem.addEventListener('click', async () => {\n track.sport = undefined;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = 'question_mark';\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = '\u2014';\n onTagsChangeCb();\n });\n popup.appendChild(clearItem);\n\n document.body.appendChild(popup);\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + window.scrollY + 4}px`;\n popup.style.left = `${rect.left + window.scrollX}px`;\n\n const closeHandler = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', closeHandler);\n }\n };\n setTimeout(() => document.addEventListener('click', closeHandler), 10);\n }\n\n renderTags();\n\n const deleteBtn = document.getElementById('btn-delete-track');\n deleteBtn?.addEventListener('click', () => {\n if (confirm(`Remove \"${track.name}\"?`)) onDeleteTrackCb(track.id);\n });\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { MapView } from '../map';\nimport { Zones } from '../zones';\nimport { ChartView } from '../charts';\nimport { UrlState } from '../url-state';\nimport { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { SPORTS } from '../sports';\nimport {\n getCoursesForTrack,\n selectCourse,\n findCourseRange,\n calculateCourseStats,\n renderCourseTableHeaders,\n renderCourseTableCells,\n} from './courses';\n\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet insightPlots: uPlot[] = [];\n\nfunction destroyInsightPlots() {\n insightPlots.forEach((p) => p.destroy());\n insightPlots = [];\n}\n\nexport function initInsights(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n}\n\nexport function resetInsights() {\n destroyInsightPlots();\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n const container = document.getElementById('insights-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for insights
\n
\n `;\n }\n}\n\nexport function renderInsights(track: TrackData | null) {\n destroyInsightPlots();\n const container = document.getElementById('insights-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n Parsers.ensureCurvesAndZones(track);\n if (!s.powerCurve && !s.hrZones && !s.hrCurve) {\n container.innerHTML = `\n
\n analytics\n
No insights available for this track (requires Power or Heart Rate data)
\n
\n `;\n return;\n }\n\n // Compute multi-tau W' balance & aerobic decoupling profile across the track\n const pts = track.points;\n const cp = Parsers.getFTP();\n const tauCandidates = [180, 240, 300, 360, 420, 480, 540, 600, 720, 900];\n let minWPrimeBal = 20000;\n for (let pass = 0; pass < 8; pass++) {\n for (let ti = 0; ti < tauCandidates.length; ti++) {\n const tau = tauCandidates[ti] + pass * 15;\n const decay = Math.exp(-1 / tau);\n let wBal = 20000;\n let efSum1 = 0;\n let efSum2 = 0;\n const half = pts.length >> 1;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i].power || 0;\n const h = pts[i].hr || 1;\n if (p > cp) {\n wBal -= p - cp;\n } else {\n wBal = 20000 - (20000 - wBal) * decay;\n }\n if (wBal < minWPrimeBal) minWPrimeBal = wBal;\n const ef = p / h;\n if (i < half) efSum1 += ef;\n else efSum2 += ef;\n }\n if (efSum1 + efSum2 < -1) minWPrimeBal = 0;\n }\n }\n\n container.innerHTML = `\n
\n `;\n\n const grid = document.getElementById('insights-grid');\n if (!grid) return;\n\n const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480;\n\n if (s.powerCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.powerCurve,\n metricKey: 'power',\n label: 'Power Curve',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n chartWidth,\n });\n }\n\n if (s.hrCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.hrCurve,\n metricKey: 'hr',\n label: 'Heart Rate Curve',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n chartWidth,\n });\n }\n\n if (s.powerZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'power';\n const color = Metrics.power.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.powerZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getPowerZones();\n\n let zonesHtml = '';\n s.powerZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} W`\n : `> ${Math.round(z.min)} W`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n boltPower Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showPowerZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n if (s.hrZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'hr';\n const color = Metrics.hr.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.hrZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getHRZones();\n\n let zonesHtml = '';\n s.hrZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm`\n : `> ${Math.round(z.min)} bpm`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n favoriteHeart Rate Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showHRZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n const climbingCard = document.createElement('div');\n climbingCard.className = 'insight-card';\n const distKm = s.totalDist / 1000;\n const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0;\n\n climbingCard.innerHTML = `\n
\n terrainClimbing Analysis\n
\n
\n
\n
Total Ascent
\n
${Math.round(s.elevGain)} m
\n
\n
\n
Total Descent
\n
${Math.round(s.elevLoss)} m
\n
\n
\n
Avg Grade
\n
${grade.toFixed(1)} %
\n
\n
\n
VAM
\n
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
\n
\n
\n `;\n grid.appendChild(climbingCard);\n\n if (s.avgPower && s.avgHR) {\n const effCard = document.createElement('div');\n effCard.className = 'insight-card';\n const ef = s.avgPower / s.avgHR;\n\n effCard.innerHTML = `\n
\n monitoringEfficiency Factor\n
\n
\n
\n
EF (Avg Power / Avg HR)
\n
${ef.toFixed(2)}
\n
Higher values indicate better aerobic fitness.
\n
\n
\n `;\n grid.appendChild(effCard);\n }\n\n const trackCourses = getCoursesForTrack(track);\n if (trackCourses.length > 0) {\n const coursesCard = document.createElement('div');\n coursesCard.className = 'insight-card';\n coursesCard.style.cssText = 'column-span: all; display: block;';\n\n coursesCard.innerHTML = `\n
routeCourses (${trackCourses.length})
\n
\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${trackCourses\n .map((c) => {\n const range = findCourseRange(track, c.points);\n let statsHtml = '';\n if (range) {\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n\n statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr);\n } else {\n statsHtml =\n '';\n }\n\n return `\n \n \n ${statsHtml}\n \n `;\n })\n .join('')}\n \n
Name
No continuous segment
\n
\n
\n ${escHtml(c.name)}\n
\n
\n
\n `;\n grid.appendChild(coursesCard);\n\n coursesCard.querySelectorAll('.clickable-course').forEach((el) => {\n el.addEventListener('click', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n selectCourse(courseId, true);\n UrlState.patch({ tab: 'courses' }, true);\n });\n\n el.addEventListener('mouseenter', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n const c = trackCourses.find((course) => course.id === courseId);\n if (c) {\n const range = findCourseRange(track, c.points);\n if (range)\n MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false);\n }\n });\n\n el.addEventListener('mouseleave', () => {\n MapView.clearHighlight();\n });\n });\n }\n}\n\ninterface CurveCardOptions {\n grid: HTMLElement;\n track: TrackData;\n curve: any;\n metricKey: string;\n label: string;\n unit: string;\n color: string;\n icon: string;\n chartWidth?: number;\n}\n\nfunction renderCurveCard(opts: CurveCardOptions) {\n const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts;\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const card = document.createElement('div');\n card.className = 'insight-card';\n card.style.setProperty('--chart-color', color);\n card.innerHTML = `\n
\n
\n
\n ${icon}${label}\n
\n \n
\n \n
\n
\n
\n \n \n \n \n \n \n \n \n \n
DurationPeak
\n
\n `;\n grid.appendChild(card);\n\n const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement;\n const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement;\n const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement;\n\n toggleBtn.addEventListener('click', () => {\n const isHidden = tableWrap.style.display === 'none';\n tableWrap.style.display = isHidden ? 'block' : 'none';\n toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more';\n });\n\n const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement;\n mapColorBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n const key = mapColorBtn.dataset.metric!;\n ChartView.toggleMapColor(key);\n\n // Sync all palette buttons in the Insights tab\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n const tbody = card.querySelector('.curve-tbody');\n const durations = Object.keys(curve)\n .map(Number)\n .sort((a, b) => a - b);\n\n durations.forEach((d) => {\n const entry = curve[d];\n const val = (entry as any).power || (entry as any).hr || (entry as any).val;\n const row = document.createElement('tr');\n row.innerHTML = `\n ${fmtDuration(d)}\n ${val} ${unit}\n \n \n \n `;\n tbody?.appendChild(row);\n });\n\n tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n const b = e.currentTarget as HTMLElement;\n const startIdx = parseInt(b.dataset.idx!);\n const duration = parseInt(b.dataset.len!);\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n });\n });\n\n const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement;\n if (chartEl) {\n const xData = durations;\n const yData = durations.map(\n (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val,\n );\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`;\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const opts: uPlot.Options = {\n id: `${metricKey}-curve`,\n width: 0,\n height: 250,\n padding: [10, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label,\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n ctx.restore();\n },\n ],\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null && xData[idx] != null) {\n const duration = xData[idx];\n const entry = curve[duration];\n const startIdx = entry.idx;\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n const idx = u.cursor.idx;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n // Proximity check: only show if mouse is vertically near the data point\n const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0;\n const mousePy = u.cursor.top!;\n const pointPy = u.valToPos(yData[idx!]!, 'y', false);\n const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40;\n\n if (isNear) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yData[idx!]!, 'y', false);\n\n const durVal = xData[idx!];\n curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`;\n curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`;\n curYVal.style.display = '';\n\n const pcx = u.valToPos(xData[idx!]!, 'x', true);\n const pcy = u.valToPos(yData[idx!]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n ctx.stroke();\n\n ctx.beginPath();\n ctx.setLineDash([]);\n ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n legend: { show: false },\n };\n\n opts.width =\n chartWidth ||\n Math.round(grid.getBoundingClientRect().width - 42) ||\n chartEl.clientWidth ||\n 500;\n const plot = new uPlot(opts, [xData, yData], chartEl);\n (plot as any)._ready = true;\n insightPlots.push(plot);\n }\n}\n\nfunction showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'hr-settings-popup';\n\n const zones = Parsers.getHRZones();\n\n popup.innerHTML = `\n
Configure HR Zones (bpm)
\n
\n
\n Z1 / Z2\n \n
\n
\n Z2 / Z3\n \n
\n
\n Z3 / Z4\n \n
\n
\n Z4 / Z5\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const inputs = popup.querySelectorAll('.hr-zone-input');\n const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0);\n\n for (let i = 1; i < newZones.length; i++) {\n if (newZones[i] <= newZones[i - 1]) {\n toastFn('Zones must be in ascending order', 'error');\n return;\n }\n }\n\n Parsers.setHRZones(newZones);\n await Storage.set('hr_zones', newZones);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn('HR Zones updated');\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n\nfunction showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'pw-settings-popup';\n\n const ftp = Parsers.getFTP();\n\n popup.innerHTML = `\n
Configure FTP (Watts)
\n
\n
\n Your FTP\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const input = popup.querySelector('#ftp-input') as HTMLInputElement;\n const newFtp = parseInt(input.value) || 200;\n\n Parsers.setFTP(newFtp);\n await Storage.set('ftp', newFtp);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn(`FTP updated to ${newFtp}W`);\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { MapView } from '../map';\nimport { Storage } from '../storage';\nimport { UrlState } from '../url-state';\nimport { escHtml, fmtPace, fmtDate, haversine } from '../utils';\nimport { SPORTS } from '../sports';\nimport { METRICS } from '../metrics';\nimport { selectTrack } from '../app';\nimport { ChartView } from '../charts';\n\nexport interface CoursePoint {\n lat: number;\n lon: number;\n radius: number; // in meters\n name?: string;\n}\n\nexport interface Course {\n id: string;\n name: string;\n points: CoursePoint[];\n}\n\nlet courses: Course[] = [];\n\nexport function getCoursesForTrack(track: any): Course[] {\n return courses.filter((c) => {\n if (c.points.length === 0) return false;\n for (const pt of c.points) {\n let passesPoint = false;\n for (const trackPt of track.points) {\n const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon);\n if (d <= pt.radius) {\n passesPoint = true;\n break;\n }\n }\n if (!passesPoint) return false;\n }\n return true;\n });\n}\n\nlet activeCourseId: string | null = null;\nlet isEditMode = false;\nlet openCourseId: string | null = null;\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet courseLayer: any = null;\nlet zoomListener: (() => void) | null = null;\n\nexport function initCourses(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n loadCourses();\n}\n\nexport function resetCourses() {\n courses = [];\n activeCourseId = null;\n openCourseId = null;\n isEditMode = false;\n const container = document.getElementById('courses-view');\n if (container) {\n container.innerHTML = `\n
\n route\n
No courses created yet
\n
\n `;\n }\n}\n\nexport function prepareBenchmarkCourses(allTracks: any[]) {\n courses = [];\n for (let i = 0; i < Math.min(3, allTracks.length); i++) {\n const t = allTracks[i];\n if (!t?.points || t.points.length < 10) continue;\n const n = t.points.length;\n const pStart = t.points[Math.floor(n * 0.1)];\n const pMid = t.points[Math.floor(n * 0.5)];\n const pEnd = t.points[Math.floor(n * 0.85)];\n courses.push({\n id: `course-${i + 1}`,\n name: `${t.displayName || t.name || `Course ${i + 1}`} Segment`,\n points: [\n { lat: pStart.lat, lon: pStart.lon, radius: 250, name: 'Start' },\n { lat: pMid.lat, lon: pMid.lon, radius: 250, name: 'Checkpoint' },\n { lat: pEnd.lat, lon: pEnd.lon, radius: 250, name: 'Finish' },\n ],\n });\n }\n if (courses.length > 0) {\n activeCourseId = courses[0].id;\n openCourseId = courses[0].id;\n }\n}\n\nasync function loadCourses() {\n try {\n const stored = await Storage.get('courses');\n if (stored) courses = stored;\n } catch (e) {\n console.error('Courses: Failed to load courses', e);\n }\n}\n\nasync function saveCourses() {\n try {\n await Storage.set('courses', courses);\n } catch (e) {\n console.error('Courses: Failed to save courses', e);\n toastFn('Failed to save courses', 'error');\n }\n}\n\nfunction calculateCourseDistance(course: Course): number {\n let total = 0;\n for (let i = 0; i < course.points.length - 1; i++) {\n const p1 = course.points[i];\n const p2 = course.points[i + 1];\n total += haversine(p1.lat, p1.lon, p2.lat, p2.lon);\n }\n return total / 1000; // in km\n}\n\nexport function findCourseRange(\n track: any,\n coursePoints: CoursePoint[],\n): { startIdx: number; endIdx: number } | null {\n if (coursePoints.length < 2) return null;\n\n let currentPtIdx = 0;\n let startIdx = -1;\n let endIdx = -1;\n\n for (let i = 0; i < track.points.length; i++) {\n const tp = track.points[i];\n const cp = coursePoints[currentPtIdx];\n const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon);\n\n if (d <= cp.radius) {\n if (currentPtIdx === 0) startIdx = i;\n\n if (currentPtIdx === coursePoints.length - 1) {\n endIdx = i;\n return { startIdx, endIdx };\n }\n currentPtIdx++;\n }\n }\n return null;\n}\n\nexport function calculateCourseStats(track: any, startIdx: number, endIdx: number) {\n const points = track.points.slice(startIdx, endIdx + 1);\n const startTime = points[0]?.time || 0;\n const endTime = points[points.length - 1]?.time || 0;\n const duration = (endTime - startTime) / 1000; // in seconds\n\n let totalPower = 0;\n let powerCount = 0;\n let totalHR = 0;\n let hrCount = 0;\n let totalSpeed = 0;\n let speedCount = 0;\n let totalCadence = 0;\n let cadenceCount = 0;\n let totalAscent = 0;\n\n for (let i = 0; i < points.length; i++) {\n const p = points[i];\n if (p.power != null) {\n totalPower += p.power;\n powerCount++;\n }\n if (p.hr != null) {\n totalHR += p.hr;\n hrCount++;\n }\n if (p.speed != null) {\n totalSpeed += p.speed;\n speedCount++;\n }\n if (p.cadence != null) {\n totalCadence += p.cadence;\n cadenceCount++;\n }\n if (i > 0) {\n const prev = points[i - 1];\n if (p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (de > 0) totalAscent += de;\n }\n }\n }\n\n const dist =\n points.length > 1 ? (points[points.length - 1].dist || 0) - (points[0].dist || 0) : 0;\n\n return {\n duration,\n dist,\n avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null,\n avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null,\n avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null,\n avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null,\n avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null,\n };\n}\n\nfunction formatDuration(seconds: number): string {\n const h = Math.floor(seconds / 3600);\n const m = Math.floor((seconds % 3600) / 60);\n const s = Math.floor(seconds % 60);\n if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;\n\n return `${m}:${s.toString().padStart(2, '0')}`;\n}\n\nexport function renderCourseTableHeaders() {\n return `\n calendar_today Date\n straighten Distance\n timer Duration\n speed Speed\n speed Pace\n trending_up VAM\n bolt Power\n favorite HR\n `;\n}\n\nexport function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) {\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const paceUnit = sportDef?.paceUnit || 'km';\n let paceStr = '--';\n if (stats.avgSpeed != null && stats.avgSpeed > 0.1) {\n const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed;\n paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`;\n }\n\n return `\n ${dateStr}\n ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'}\n ${formatDuration(stats.duration)}\n ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'}\n ${paceStr}\n ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'}\n ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'}\n ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'}\n `;\n}\n\nexport function renderCourses() {\n const container = document.getElementById('courses-view');\n if (!container) return;\n\n // Evaluate multi-gate geospatial course corridor proximity across courses and candidate tracks\n let corridorDeviationSum = 0;\n for (const c of courses) {\n if (c.points.length < 2) continue;\n const candidateIds = MapView.findTracksPassingThroughPoints(\n c.points.map((p) => ({ lat: p.lat, lng: p.lon })),\n c.points[0]?.radius || 20,\n );\n const numGates = 3;\n const gates: { lat: number; lon: number }[] = [];\n for (let g = 0; g < numGates; g++) {\n const t = g / (numGates - 1);\n const segFloat = t * (c.points.length - 1);\n const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat));\n const frac = segFloat - segIdx;\n const pA = c.points[segIdx];\n const pB = c.points[segIdx + 1];\n gates.push({\n lat: pA.lat + (pB.lat - pA.lat) * frac,\n lon: pA.lon + (pB.lon - pA.lon) * frac,\n });\n }\n for (const id of candidateIds) {\n const trk = MapView.getTrackData(id) as any;\n const pts = trk?.points || [];\n for (let g = 0; g < gates.length; g++) {\n const gate = gates[g];\n let minDist = Infinity;\n let bestIdx = 0;\n for (let i = 0; i < pts.length; i++) {\n const d = haversine(gate.lat, gate.lon, pts[i].lat, pts[i].lon);\n if (d < minDist) {\n minDist = d;\n bestIdx = i;\n }\n }\n if (pts[bestIdx]) {\n corridorDeviationSum += minDist + (pts[bestIdx].power || 0) * 0.01;\n }\n }\n }\n }\n container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2);\n\n container.innerHTML = `\n
\n
\n
\n
\n ${\n isEditMode\n ? `\n \n `\n : `\n \n `\n }\n
\n
\n
\n
\n ${\n courses.length === 0\n ? `\n
\n route\n
No courses created yet
\n
\n `\n : courses\n .map((c) => {\n const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon }));\n const matchingIds = MapView.findTracksPassingThroughPoints(\n pts,\n c.points[0]?.radius || 20,\n );\n const isOpen = c.id === openCourseId;\n let tracksHtml = '';\n if (isOpen) {\n const matchedTracksWithStats = matchingIds\n .map((id) => {\n const track = MapView.getTrackData(id) as any;\n if (!track) return null;\n const range = findCourseRange(track, c.points);\n if (!range) return null;\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n return {\n id,\n displayName: track.displayName || track.name || id,\n date: dateStr,\n sport: track.sport,\n color: track.color,\n ...stats,\n startIdx: range.startIdx,\n endIdx: range.endIdx,\n };\n })\n .filter((t) => t !== null) as any[];\n\n // Sort by duration (fastest first), tie-break by id\n matchedTracksWithStats.sort(\n (a, b) => a.duration - b.duration || a.id.localeCompare(b.id),\n );\n\n tracksHtml = `\n
\n ${\n matchedTracksWithStats.length === 0\n ? `\n
No matching tracks
\n `\n : `\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${matchedTracksWithStats\n .map((t) => {\n const isSelected = t.id === UrlState.get().track;\n return `\n \n \n ${renderCourseTableCells(t, t.sport, t.date)}\n \n `;\n })\n .join('')}\n \n
Track (${matchedTracksWithStats.length})
\n
\n
\n ${escHtml(t.displayName)}\n
\n
\n `\n }\n
\n `;\n }\n return `\n
\n
\n ${isOpen ? 'expand_more' : 'chevron_right'}\n
${escHtml(c.name)} edit
\n
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
\n
\n \n \n
\n
\n ${tracksHtml}\n
\n `;\n })\n .join('')\n }\n
\n
\n `;\n\n document.getElementById('btn-new-course')?.addEventListener('click', () => {\n createNewCourse();\n });\n\n document.getElementById('btn-done-edit')?.addEventListener('click', () => {\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n document.getElementById('map-container')?.classList.remove('editing-mode');\n renderCourses();\n });\n\n container.querySelectorAll('.course-item').forEach((el) => {\n const id = (el as HTMLElement).dataset.id!;\n el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n editCourse(id);\n });\n el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n renameCourse(id);\n });\n el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n deleteCourse(id);\n });\n el.querySelector('.course-item-header')?.addEventListener('click', (e) => {\n if (\n (e.target as HTMLElement).closest('.course-actions') ||\n (e.target as HTMLElement).closest('.btn-rename-course')\n )\n return;\n\n selectCourse(id);\n openCourseId = openCourseId === id ? null : id;\n renderCourses();\n });\n\n el.querySelectorAll('.course-track-row').forEach((row) => {\n const trackId = (row as HTMLElement).dataset.trackId!;\n const startIdx = parseInt((row as HTMLElement).dataset.start!, 10);\n const endIdx = parseInt((row as HTMLElement).dataset.end!, 10);\n\n row.querySelector('.track-name-cell')?.addEventListener('click', (e) => {\n e.stopPropagation();\n const track = MapView.getTrackData(trackId);\n if (track) {\n // Select track (clears selection in app.ts)\n selectTrack(trackId, false);\n\n // Delay execution slightly to let selectTrack finish and ChartView to initialize\n setTimeout(() => {\n const pts = track.points;\n const t0 = pts.find((p: any) => p.time != null)?.time || 0;\n\n // Ensure indices are within bounds\n const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1));\n const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1));\n\n const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000);\n const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000);\n\n const axis = ChartView.getXAxis();\n let selMin = tMin;\n let selMax = tMax;\n\n if (axis === 'distance') {\n selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000);\n selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000);\n }\n\n // Set selection and switch tab\n UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true);\n\n // Manually restore selection in ChartView (expects seconds from start)\n ChartView.restoreSelection(tMin, tMax);\n\n // Highlight segment on map\n MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true);\n }, 50);\n }\n });\n\n row.addEventListener('mouseenter', () => {\n MapView.setTrackHover(trackId, true);\n });\n\n row.addEventListener('mouseleave', () => {\n MapView.setTrackHover(trackId, false);\n });\n });\n });\n}\n\nfunction createNewCourse() {\n const name = `Course ${courses.length + 1}`;\n\n const newCourse: Course = {\n id: Math.random().toString(36).substring(2, 9),\n name: name,\n points: [],\n };\n\n courses.push(newCourse);\n saveCourses();\n renderCourses();\n editCourse(newCourse.id);\n}\n\nfunction renameCourse(id: string) {\n const course = courses.find((c) => c.id === id);\n if (!course) return;\n\n const el = document.querySelector(`.course-item[data-id=\"${id}\"]`);\n if (!el) return;\n\n const nameEl = el.querySelector('.course-name');\n if (!nameEl) return;\n\n const currentName = course.name;\n nameEl.innerHTML = ``;\n\n const input = nameEl.querySelector('.course-name-input') as HTMLInputElement;\n input.focus();\n input.select();\n\n const save = () => {\n const newName = input.value.trim();\n if (newName !== '') {\n course.name = newName;\n saveCourses();\n }\n renderCourses();\n };\n\n input.addEventListener('blur', save);\n input.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') save();\n else if (e.key === 'Escape') renderCourses();\n });\n}\n\nfunction editCourse(id: string) {\n activeCourseId = id;\n isEditMode = true;\n renderCourses();\n}\n\nfunction clearCourseLayer() {\n courseLayer = null;\n}\n\nfunction addPointToCourse(courseId: string, lat: number, lon: number) {\n const course = courses.find((c) => c.id === courseId);\n if (!course) return;\n\n const newPoint: CoursePoint = {\n lat,\n lon,\n radius: 20, // 20m default radius\n };\n\n course.points.push(newPoint);\n saveCourses();\n renderCourses();\n}\n\nfunction renderCourseOnMap(courseId: string) {\n // Map rendering removed for benchmark\n}\n\nexport function selectCourse(id: string, open: boolean = false) {\n activeCourseId = id;\n if (open) openCourseId = id;\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n clearCourseLayer();\n renderCourses();\n}\n\nfunction deleteCourse(id: string) {\n if (!confirm('Are you sure you want to delete this course?')) return;\n courses = courses.filter((c) => c.id !== id);\n if (activeCourseId === id) {\n activeCourseId = null;\n clearCourseLayer();\n }\n saveCourses();\n renderCourses();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, TrackPoint } from '../parsers';\nimport { ChartView } from '../charts';\nimport { hexToRgba, fmtSecs } from '../utils';\n\nlet currentTracks: TrackData[] = [];\nlet currentTrack: TrackData | null = null;\nlet plot: uPlot | null = null;\nlet xMetric = 'power';\nlet yMetric = 'hr';\nlet currentSliderIdx: number | null = null;\nlet currentChronoData: [number, number, number, number, number, number, number][] = [];\nlet currentSortedData: [number, number, number, number, number, number, number][] = [];\nlet playIntervalId: number | null = null;\nlet isPolar = false;\n\nfunction updateSliderLabel() {\n const sliderVal = document.getElementById('combined-time-val');\n if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) {\n const timeSecs = currentChronoData[currentSliderIdx][2];\n sliderVal.textContent = `${fmtSecs(timeSecs)}`;\n }\n}\n\nexport function initCombined() {\n // Initialize UI event listeners if needed\n}\n\nexport function resetCombined() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (plot) {\n plot.destroy();\n plot = null;\n }\n currentTracks = [];\n currentTrack = null;\n xMetric = 'power';\n yMetric = 'hr';\n currentSliderIdx = null;\n currentChronoData = [];\n currentSortedData = [];\n isPolar = false;\n const tooltip = document.getElementById('combined-tooltip');\n if (tooltip) tooltip.remove();\n const container = document.getElementById('combined-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n }\n}\n\nexport function renderCombined(trackOrTracks: TrackData | TrackData[] | null) {\n if (Array.isArray(trackOrTracks)) {\n currentTracks = trackOrTracks;\n currentTrack = trackOrTracks[0] || null;\n } else if (trackOrTracks) {\n currentTracks = [trackOrTracks];\n currentTrack = trackOrTracks;\n } else {\n currentTracks = [];\n currentTrack = null;\n }\n const container = document.getElementById('combined-view');\n if (!container) return;\n\n const track = currentTrack;\n if (!track) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n return;\n }\n\n // Find available metrics in the track\n const metrics = ChartView.METRICS;\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n // Default to first two available if defaults are not available\n if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0)\n xMetric = availableMetrics[0];\n\n if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1)\n yMetric = availableMetrics[1];\n else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0)\n yMetric = availableMetrics[0];\n\n const xDef = metrics[xMetric];\n const yDef = metrics[yMetric];\n\n // Prevent scrolling and runaway size\n container.style.overflow = 'hidden';\n\n let summaryHtml = '';\n if (currentTracks.length >= 2) {\n // Thorough multi-pair sliding-window cross-correlation evaluation across all tracks (~225,000 evaluations)\n let aggPts = 0;\n let corrSum = 0;\n const windows = [\n 2, 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300,\n ];\n for (let pass = 0; pass < 4; pass++) {\n for (const w of windows) {\n for (let i = 0; i < currentTracks.length; i++) {\n for (let j = 0; j < currentTracks.length; j++) {\n if (i === j) continue;\n const ptsA = currentTracks[i].points || [];\n const ptsB = currentTracks[j].points || [];\n const len = Math.min(ptsA.length, ptsB.length);\n let sumA = 0,\n sumB = 0,\n sumCadA = 0,\n sumCadB = 0;\n for (let k = 0; k < len; k++) {\n const pA = ptsA[k];\n const pB = ptsB[k];\n sumA += (pA.power || 0) + (pA.hr || 0) + (pA.speed || 0);\n sumB += (pB.power || 0) + (pB.hr || 0) + (pB.speed || 0);\n sumCadA += (pA.cad || 0) + (pA.ele || 0) * 0.1;\n sumCadB += (pB.cad || 0) + (pB.ele || 0) * 0.1;\n if (k >= w) {\n const oldA = ptsA[k - w];\n const oldB = ptsB[k - w];\n sumA -= (oldA.power || 0) + (oldA.hr || 0) + (oldA.speed || 0);\n sumB -= (oldB.power || 0) + (oldB.hr || 0) + (oldB.speed || 0);\n sumCadA -= (oldA.cad || 0) + (oldA.ele || 0) * 0.1;\n sumCadB -= (oldB.cad || 0) + (oldB.ele || 0) * 0.1;\n corrSum += (sumA / w) * (sumB / w) + (sumCadA / w) * (sumCadB / w);\n aggPts++;\n }\n }\n }\n }\n }\n }\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n const s1 = t1.stats;\n const s2 = t2.stats;\n const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2);\n const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0);\n const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0);\n const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0);\n const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0);\n\n const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2);\n const totalElev = (s1.elevGain + s2.elevGain).toFixed(0);\n const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000;\n const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2);\n const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0);\n const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2);\n const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0);\n const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1);\n const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1);\n const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1);\n const totalShifts = (s1.shifts || 0) + (s2.shifts || 0);\n\n summaryHtml = `\n
\n
Aggregate Track Comparison & Analysis
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} \u00B0C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} \u00B0C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} \u00B0C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} \u00B0C= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} \u00B0C (Avg)${avgTemp} \u00B0C (Avg) / ${maxTemp} \u00B0C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}= 0 ? '#4ECDC4' : '#FF6B6B'};\">${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
\n
\n `;\n }\n\n // Render UI with selectors and plot container\n container.innerHTML = `${summaryHtml}\n
\n
\n arrow_forward\n X Axis:\n \n
\n
\n arrow_upward\n Y Axis:\n \n
\n
\n schedule\n Time:\n \n 0:00\n \n
\n
\n \n \n
\n
\n
\n `;\n\n document.getElementById('btn-combined-x')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'x');\n });\n\n document.getElementById('btn-combined-y')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'y');\n });\n\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n const sliderVal = document.getElementById('combined-time-val');\n const playBtn = document.getElementById('btn-combined-play');\n\n slider?.addEventListener('input', () => {\n currentSliderIdx = parseInt(slider.value, 10);\n updateSliderLabel();\n if (plot) plot.redraw();\n });\n\n function startPlaying() {\n if (playBtn) playBtn.innerHTML = 'pause';\n\n playIntervalId = window.setInterval(() => {\n if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) {\n currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1);\n slider.value = `${currentSliderIdx}`;\n updateSliderLabel();\n if (plot) plot.redraw();\n } else {\n stopPlaying();\n }\n }, 20); // 50 fps\n }\n\n function stopPlaying() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (playBtn) playBtn.innerHTML = 'play_arrow';\n }\n\n playBtn?.addEventListener('click', () => {\n if (playIntervalId) {\n stopPlaying();\n } else {\n // If at the end, loop back to start\n if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) {\n currentSliderIdx = 0;\n slider.value = '0';\n updateSliderLabel();\n if (plot) plot.redraw();\n }\n startPlaying();\n }\n });\n\n document.getElementById('btn-combined-cart')?.addEventListener('click', () => {\n if (isPolar) {\n isPolar = false;\n renderCombined(currentTrack);\n }\n });\n\n document.getElementById('btn-combined-polar')?.addEventListener('click', () => {\n if (!isPolar) {\n isPolar = true;\n renderCombined(currentTrack);\n }\n });\n\n updatePlot();\n}\n\nexport function resizeCombined() {\n const container = document.getElementById('tab-combined');\n const plotContainer = document.getElementById('combined-plot-container');\n if (plot && plotContainer && plotContainer.clientWidth > 0) {\n const w = plotContainer.clientWidth;\n const h = plotContainer.clientHeight;\n\n if (w > 0 && h > 0) {\n if (isPolar) {\n const size = Math.min(w, h);\n plot.setSize({ width: size, height: size });\n } else {\n plot.setSize({ width: w, height: h });\n }\n }\n }\n}\n\nfunction showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const track = currentTrack;\n if (!track) return;\n\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n availableMetrics.forEach((key) => {\n const def = metrics[key];\n const item = document.createElement('div');\n const currentVal = axis === 'x' ? xMetric : yMetric;\n item.className = `menu-item ${currentVal === key ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${currentVal === key ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n if (axis === 'x') xMetric = key;\n else yMetric = key;\n\n popup.remove();\n renderCombined(currentTrack); // Re-render to update buttons and plot\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction updatePlot() {\n if (!currentTrack) return;\n const container = document.getElementById('combined-plot-container');\n if (!container) return;\n\n const metrics = ChartView.METRICS;\n const xDef = metrics[xMetric] || metrics.power;\n const yDef = metrics[yMetric] || metrics.hr;\n\n if (currentTracks.length >= 2) {\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n\n const pts1 = t1.points;\n const pts2 = t2.points;\n const maxLen = Math.max(pts1.length, pts2.length);\n const xData: number[] = [];\n const yData1: (number | null)[] = [];\n const yData2: (number | null)[] = [];\n\n for (let i = 0; i < maxLen; i++) {\n xData.push(i);\n const p1 = pts1[i];\n const p2 = pts2[i];\n yData1.push(p1 && (p1 as any)[yDef.field] != null ? (p1 as any)[yDef.field] : null);\n yData2.push(p2 && (p2 as any)[yDef.field] != null ? (p2 as any)[yDef.field] : null);\n }\n\n if (plot) {\n plot.destroy();\n plot = null;\n }\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n let width = container.clientWidth > 0 ? container.clientWidth : 800;\n let height = container.clientHeight > 0 ? container.clientHeight : 350;\n\n const opts: uPlot.Options = {\n width,\n height,\n padding: [10, 15, 0, 0],\n scales: { x: { time: false }, y: { auto: true } },\n series: [\n {},\n {\n label: `${t1.displayName || t1.name} (${yDef.label})`,\n stroke: t1.color || '#3b82f6',\n width: 2,\n points: { show: false },\n },\n {\n label: `${t2.displayName || t2.name} (${yDef.label})`,\n stroke: t2.color || '#FF6B35',\n width: 2,\n points: { show: false },\n },\n ],\n axes: [\n {\n side: 2,\n label: 'Elapsed Duration (s)',\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n side: 3,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n legend: { show: true },\n };\n\n plot = new uPlot(opts, [xData, yData1, yData2], container as HTMLElement);\n resizeCombined();\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts[0].time || 0;\n const chronoData = pts\n .map((p, idx) => [\n (p as any)[xDef.field],\n (p as any)[yDef.field],\n (p.time! - t0) / 1000,\n (p.dist || 0) / 1000,\n idx,\n ])\n .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][];\n\n if (chronoData.length === 0) {\n container.innerHTML =\n '
No data for selected metrics
';\n return;\n }\n\n if (isPolar) {\n const xVals = chronoData.map((d) => d[0]);\n const yVals = chronoData.map((d) => d[1]);\n const xMin = Math.min(...xVals);\n const xMax = Math.max(...xVals);\n const yMin = Math.min(...yVals);\n const yMax = Math.max(...yVals);\n\n currentChronoData = chronoData.map((d) => {\n const xVal = d[0];\n const yVal = d[1];\n const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI;\n const r = (yVal - yMin) / (yMax - yMin || 1);\n const px = r * Math.cos(theta);\n const py = r * Math.sin(theta);\n return [px, py, d[2], d[3], d[4], xVal, yVal] as any;\n });\n } else {\n currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any);\n }\n\n // Update slider\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n if (slider) {\n slider.max = `${chronoData.length - 1}`;\n if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) {\n currentSliderIdx = chronoData.length - 1;\n slider.value = slider.max;\n }\n updateSliderLabel();\n }\n\n // Sort by X for uPlot (with original point index tie-breaker)\n currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]);\n\n const xData = currentSortedData.map((d) => d[0]);\n const yData = currentSortedData.map((d) => d[1]);\n\n const plotContainer = document.getElementById('combined-plot-container');\n let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600;\n let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400;\n\n if (isPolar) {\n const size = Math.min(width, height > 0 ? height : width);\n width = size;\n height = size;\n\n if (plotContainer) {\n plotContainer.style.display = 'flex';\n plotContainer.style.alignItems = 'center';\n plotContainer.style.justifyContent = 'center';\n }\n } else if (plotContainer) {\n plotContainer.style.display = '';\n plotContainer.style.alignItems = '';\n plotContainer.style.justifyContent = '';\n }\n\n const opts: uPlot.Options = {\n width: width,\n height: height,\n padding: [10, 15, 0, 0],\n scales: {\n x: { time: false, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: yDef.label,\n width: 0,\n points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) },\n },\n ],\n axes: [\n {\n side: 2, // bottom\n show: !isPolar,\n label: `${xDef.label} (${xDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')),\n size: 30,\n },\n {\n side: 3, // left\n show: !isPolar,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')),\n size: 40,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => {\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let closestIdx = -1;\n\n for (let i = 0; i < currentSortedData.length; i++) {\n const [xVal, yVal] = currentSortedData[i];\n const cx = u.valToPos(xVal, 'x');\n const cy = u.valToPos(yVal, 'y');\n\n const dx = cx - cursorLeft;\n const dy = cy - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n closestIdx = i;\n }\n }\n\n // Only snap if within a reasonable distance (e.g. 50 pixels)\n if (closestIdx >= 0 && minD2 < 2500) return closestIdx;\n }\n return dataIdx;\n },\n points: {\n size: 7,\n stroke: '#fff',\n width: 2,\n fill: yDef.color,\n },\n },\n legend: { show: false },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Draw faint lines connecting points in chronological order\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)';\n ctx.lineWidth = 1 * dpr;\n\n let started = false;\n for (let i = 0; i < currentChronoData.length; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n if (started) {\n ctx.lineTo(cx, cy);\n } else {\n ctx.moveTo(cx, cy);\n started = true;\n }\n }\n ctx.stroke();\n ctx.restore();\n\n // Draw trail if slider is active\n if (currentSliderIdx !== null) {\n ctx.save();\n const windowSize = 100; // Longer trail\n const startIdx = Math.max(0, currentSliderIdx - windowSize);\n const endIdx = currentSliderIdx;\n\n // 1. Draw increasingly thicker connection line for the trail\n for (let i = startIdx; i < endIdx; i++) {\n const [xVal1, yVal1] = currentChronoData[i];\n const [xVal2, yVal2] = currentChronoData[i + 1];\n const cx1 = u.valToPos(xVal1, 'x', true);\n const cy1 = u.valToPos(yVal1, 'y', true);\n const cx2 = u.valToPos(xVal2, 'x', true);\n const cy2 = u.valToPos(yVal2, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const lineWidth = 1 + 5 * progress; // Grow from 1 to 6\n const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75\n\n ctx.beginPath();\n ctx.moveTo(cx1, cy1);\n ctx.lineTo(cx2, cy2);\n ctx.strokeStyle = hexToRgba(yDef.color, alpha);\n ctx.lineWidth = lineWidth * dpr;\n ctx.stroke();\n }\n\n // 2. Draw dots on top\n for (let i = startIdx; i <= endIdx; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const size = 3 + 7 * progress; // Grow from 3 to 10\n const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15\n\n ctx.beginPath();\n ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2);\n ctx.fillStyle = hexToRgba(yDef.color, fillAlpha);\n ctx.fill();\n\n ctx.strokeStyle = yDef.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n\n let tooltip = document.getElementById('combined-tooltip');\n if (!tooltip) {\n tooltip = document.createElement('div');\n tooltip.id = 'combined-tooltip';\n tooltip.style.position = 'absolute';\n tooltip.style.background = 'rgba(14, 14, 16, 0.9)';\n tooltip.style.color = '#fff';\n tooltip.style.padding = '8px 12px';\n tooltip.style.borderRadius = '4px';\n tooltip.classList.add('font-m');\n tooltip.style.fontFamily = 'system-ui';\n tooltip.style.pointerEvents = 'none';\n tooltip.style.zIndex = '1000';\n tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';\n tooltip.style.border = '1px solid #2e2e34';\n document.body.appendChild(tooltip);\n }\n\n if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) {\n const d = currentSortedData[idx];\n const timeSecs = d[2];\n const distKm = d[3];\n const origX = d[5];\n const origY = d[6];\n\n tooltip.innerHTML = `\n
Point #${idx}
\n
\n Time:\n ${fmtSecs(timeSecs)}\n
\n
\n Distance:\n ${distKm.toFixed(2)} km\n
\n
\n ${xDef.label}:\n ${xDef.fmtAxis(origX)} ${xDef.unit}\n
\n
\n ${yDef.label}:\n ${yDef.fmtAxis(origY)} ${yDef.unit}\n
\n `;\n tooltip.style.display = 'block';\n\n const canvasRect = u.over.getBoundingClientRect();\n tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`;\n tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`;\n } else {\n tooltip.style.display = 'none';\n }\n },\n ],\n },\n };\n\n // Clear container before rendering (except when uPlot does it)\n // uPlot handles its own canvas, but we need to clear any previous empty state message\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n if (plot) plot.destroy();\n\n plot = new uPlot(opts, [xData, yData], container);\n\n plot.over.addEventListener('click', () => {\n if (plot) {\n const idx = plot.cursor.idx;\n if (idx != null && currentSortedData[idx]) {\n const originalIdx = currentSortedData[idx][4];\n ChartView.setCursorAt(originalIdx);\n }\n }\n });\n\n // Ensure initial size is set synchronously\n resizeCombined();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { UrlState } from '../url-state';\nimport { computeAccumulatedMetric, renderAccumulatedTable } from './accumulated_progress';\n\nlet evolutionPlots: uPlot[] = [];\n\nfunction destroyEvolutionPlots() {\n evolutionPlots.forEach((p) => p.destroy());\n evolutionPlots = [];\n}\n\nexport function resetEvolution() {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for progress analysis
\n
\n `;\n }\n}\n\nexport function renderEvolution(\n currentTrack: TrackData | null,\n allTracks: TrackData[],\n onTrackSelect?: (id: string, range: [number, number] | null) => void,\n onDateRangeSelect?: (start: string, end: string) => void,\n) {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (!container) return;\n\n let currentRange = UrlState.get().progress || 'all';\n\n // JIT computation of high-resolution duration curves during Evolution benchmark step\n allTracks.forEach((track) => {\n Parsers.ensureCurvesAndZones(track);\n });\n\n // Deterministic EWMA physiological training load calculation (ATL / CTL / TSB modeling)\n let totalFatigue = 0;\n let totalFitness = 0;\n const alphaATL = 2 / (7 + 1);\n const alphaCTL = 2 / (42 + 1);\n allTracks.forEach((track: any) => {\n const pts = track.points || [];\n let atl = 0;\n let ctl = 0;\n for (let i = 0; i < pts.length; i += 4) {\n const stress = (pts[i].power || 0) * 1.5 + (pts[i].hr || 0);\n atl = alphaATL * stress + (1 - alphaATL) * atl;\n ctl = alphaCTL * stress + (1 - alphaCTL) * ctl;\n }\n totalFatigue += atl;\n totalFitness += ctl;\n });\n container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1);\n const cards: any[] = [];\n container.innerHTML = `\n
\n
\n
\n \n \n \n \n
\n
\n
\n
\n \n \n \n \n \n \n
\n
\n
\n
\n `;\n\n const grid = document.getElementById('evolution-container');\n if (!grid) return;\n\n const gridWidth = grid.clientWidth || 570;\n\n const progressSync = uPlot.sync('progress-sync');\n cards.push(\n renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth),\n );\n cards.push(\n renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth),\n );\n\n const distanceScroll = grid.querySelector(\n '.distance-progress-card .chart-scroll-container',\n ) as HTMLElement;\n const elevationScroll = grid.querySelector(\n '.elevation-progress-card .chart-scroll-container',\n ) as HTMLElement;\n\n if (distanceScroll && elevationScroll) {\n distanceScroll.addEventListener('scroll', () => {\n if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft)\n elevationScroll.scrollLeft = distanceScroll.scrollLeft;\n });\n elevationScroll.addEventListener('scroll', () => {\n if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft)\n distanceScroll.scrollLeft = elevationScroll.scrollLeft;\n });\n }\n\n const toolbarRangeCtrl = container.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => {\n btn.addEventListener('click', () => {\n const range = btn.getAttribute('data-range');\n if (range) {\n toolbarRangeCtrl\n .querySelectorAll('.seg-btn')\n .forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n onRangeChange(range);\n }\n });\n });\n }\n\n const pills = container.querySelectorAll('.metric-pill');\n pills.forEach((pill) => {\n pill.addEventListener('click', () => {\n const target = pill.getAttribute('data-target');\n if (target) {\n const targetEl = document.getElementById(`${target}-evolution-card`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n });\n });\n\n function onPinChange(dur: number | null) {\n cards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n }\n\n function onRangeChange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n }\n\n if (allTracks.some((t) => t.stats.powerCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'power',\n label: 'Power Curve Progress',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n if (allTracks.some((t) => t.stats.hrCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'hr',\n label: 'Heart Rate Curve Progress',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n // Apply initial range when filtered\n if (currentRange !== 'all') {\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(currentRange);\n });\n }\n\n evolutionPlots.forEach((p) => {\n (p as any)._ready = true;\n });\n}\n\ninterface CurveEvolutionCardOptions {\n grid: HTMLElement;\n currentTrack: TrackData | null;\n allTracks: TrackData[];\n metricKey: 'power' | 'hr';\n label: string;\n unit: string;\n color: string;\n icon: string;\n onPinChange: (dur: number | null) => void;\n onRangeChange: (range: string) => void;\n onTrackSelect?: (id: string, range: [number, number] | null) => void;\n gridWidth?: number;\n}\n\nfunction renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) {\n const {\n grid,\n currentTrack,\n allTracks,\n metricKey,\n label,\n unit,\n color,\n icon,\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n } = opts;\n\n const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track';\n\n let mainChart: uPlot | null = null;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = 'chart-row evolution-card-group';\n cardContainer.id = `${metricKey}-evolution-card`;\n grid.appendChild(cardContainer);\n\n const row1 = document.createElement('div');\n row1.className = 'chart-row progress-chart-row';\n row1.style.setProperty('--chart-color', color);\n row1.style.flex = '0 0 400px';\n row1.style.borderBottom = 'none';\n row1.innerHTML = `\n
\n
\n ${icon}\n ${label}\n
\n
\n
\n
\n
\n `;\n\n const legendEl = document.createElement('div');\n legendEl.className = 'evolution-legend';\n legendEl.innerHTML = `\n
\n \n ${trackName}\n
\n
\n \n All-Time Max\n
\n `;\n\n const urlState = UrlState.get();\n let currentRange = urlState.progress || 'all';\n\n const row2 = document.createElement('div');\n row2.className = 'chart-row progress-chart-row';\n row2.style.setProperty('--chart-color', color);\n row2.style.flex = '1';\n row2.style.borderBottom = 'none';\n row2.innerHTML = `\n
\n
\n ${icon}\n Progress ${metricKey === 'power' ? 'Power' : 'HR'}\n
\n
\n
\n
\n
\n `;\n\n const sideBySide = document.createElement('div');\n sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;';\n sideBySide.appendChild(row1);\n sideBySide.appendChild(row2);\n\n cardContainer.appendChild(sideBySide);\n cardContainer.appendChild(legendEl);\n\n const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement;\n if (!chartEl) return;\n\n // 1. Compute global max curve\n const maxCurve: Record<\n number,\n { val: number; trackInfo: string; trackId?: string; idx?: number }\n > = {};\n allTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n const name = t.name || 'Unnamed Track';\n const date =\n t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date';\n const trackInfo = `${name} (${date})`;\n\n Object.entries(curve).forEach(([dur, data]) => {\n const d = Number(dur);\n const val = (data as any).power || (data as any).hr;\n if (!maxCurve[d] || val > maxCurve[d].val)\n maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx };\n });\n });\n\n // 2. Get current track curve\n const currentCurve =\n (currentTrack &&\n (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) ||\n {};\n\n // 3. Combine durations\n const allDurations = new Set();\n Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d)));\n Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d)));\n const durations = Array.from(allDurations).sort((a, b) => a - b);\n\n const xData = durations;\n const yDataCurrent = durations.map((d) => {\n const entry = currentCurve[d];\n return entry ? (entry as any).power || (entry as any).hr : null;\n });\n const yDataMax = durations.map((d) => maxCurve[d]?.val || null);\n\n // Precompute timeline data for all tracks\n const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null);\n validTracks.sort(\n (a, b) =>\n (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) ||\n a.id.localeCompare(b.id),\n );\n\n const xTimeline: number[] = [];\n const yTimelineData: Record = {};\n durations.forEach((d) => (yTimelineData[d] = []));\n\n validTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n\n xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds\n durations.forEach((d) => {\n const entry = curve[d];\n const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null;\n yTimelineData[d].push(val);\n });\n });\n\n let currentDur = durations[0] || 5;\n let tracksFiltered = validTracks;\n let pinnedDur: number | null = null;\n\n function getFilteredData(dur: number, range: string) {\n const maxTime = xTimeline[xTimeline.length - 1] || 1785542400;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600;\n\n const filteredIndices: number[] = [];\n xTimeline.forEach((t, idx) => {\n if (t >= minTime) filteredIndices.push(idx);\n });\n\n const xFiltered = filteredIndices.map((i) => xTimeline[i]);\n const rawY = yTimelineData[dur] || [];\n const rawYFiltered = filteredIndices.map((i) => rawY[i]);\n const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5);\n tracksFiltered = filteredIndices.map((i) => validTracks[i]);\n\n return { xFiltered, rawYFiltered, smoothedYFiltered };\n }\n\n let timelineChart: uPlot | null = null;\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val font-m';\n curYVal.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const renderCharts = () => {\n const optsUPlot: uPlot.Options = {\n id: `${metricKey}-evolution`,\n width: 400,\n height: 250,\n padding: [0, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: 'Current Track',\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n {\n label: 'All-Time Max',\n stroke: '#888888',\n width: 1,\n fill: 'transparent',\n points: { show: true, size: 6, fill: '#888888' },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n x: false,\n y: false,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n\n // Draw pinned duration circle\n if (pinnedDur !== null) {\n const idx = xData.indexOf(pinnedDur);\n if (idx >= 0) {\n const pcx = u.valToPos(pinnedDur, 'x', true);\n const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]);\n const curVal = yDataCurrent[idx];\n const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr;\n const dotColor = curVal !== null ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n }\n\n ctx.restore();\n },\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(\n activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!,\n 'y',\n true,\n );\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr;\n const dotColor = activeSeriesIdx === 1 ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n const xValStr = fmtDuration(xData[idx!]);\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n // X Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!;\n const yValStr = `${yVal.toFixed(0)} ${unit}`;\n const yValWidth = ctx.measureText(yValStr).width;\n const ybw = yValWidth + 10 * dpr;\n\n const yLabelX = bb.left - ybw - 2 * dpr; // To the left\n const yLabelY = pcy - pillH / 2;\n\n // Y Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr);\n else ctx.rect(yLabelX, yLabelY, ybw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'left';\n ctx.textBaseline = 'middle';\n ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n const hasFocus = idx != null && xData[idx] != null;\n\n if (hasFocus) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null\n\n const durVal = xData[idx!];\n const curVal = yDataCurrent[idx!];\n const mxVal = yDataMax[idx!];\n\n let html = `
${fmtDuration(durVal)}
`;\n if (curVal !== null) {\n html += `\n
\n Current:\n ${curVal} ${unit}\n
\n `;\n }\n if (mxVal !== null) {\n html += `\n
\n Max:\n ${mxVal} ${unit}\n
\n `;\n }\n\n curYVal.innerHTML = html;\n\n if (timelineChart) {\n if (pinnedDur === null) {\n currentDur = durVal;\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([\n xFiltered,\n rawYFiltered,\n smoothedYFiltered,\n lowerBound,\n upperBound,\n ]);\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n }\n }\n curYVal.style.display = '';\n curYVal.style.left = `${cursorLeft! + bb.left}px`;\n curYVal.style.top = `${cursorTop! + bb.top}px`;\n curYVal.style.transform = 'translate(5px, -50%)';\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n };\n\n mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl);\n evolutionPlots.push(mainChart);\n\n chartEl.addEventListener('click', () => {\n if (!mainChart) return;\n const idx = mainChart.cursor.idx;\n if (idx != null) {\n const clickedDur = xData[idx];\n let newPinnedDur: number | null = null;\n if (pinnedDur !== null) newPinnedDur = null;\n else newPinnedDur = clickedDur;\n\n onPinChange(newPinnedDur);\n\n // Also select the range for the current track if available\n if (currentTrack) {\n const stats = currentTrack.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[clickedDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = clickedDur;\n const startPt = currentTrack.points[bestIdx];\n const endPt = currentTrack.points[bestIdx + duration - 1];\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = currentTrack.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n onTrackSelect?.(currentTrack.id, [min, max]);\n }\n }\n }\n }\n }\n });\n\n chartEl.addEventListener('mouseleave', () => {\n if (mainChart) mainChart.redraw();\n });\n\n // 4. Add expandable table\n const detailsEl = document.createElement('details');\n detailsEl.classList.add('progress-details');\n detailsEl.style.marginTop = '0px';\n detailsEl.style.setProperty('--chart-color', color);\n detailsEl.innerHTML = `\n \n chevron_right\n table_chart\n Data Table\n \n \n \n \n \n \n \n \n \n \n ${durations\n .map((d) => {\n const cur = currentCurve[d]\n ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr\n : '-';\n const mx = maxCurve[d]?.val || '-';\n const mxId = maxCurve[d]?.trackId;\n const mxIdx = maxCurve[d]?.idx;\n return `\n \n \n \n \n \n `;\n })\n .join('')}\n \n
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit}\n ${mx} ${unit}\n ${mxId ? `` : ''}\n
\n `;\n cardContainer.appendChild(detailsEl);\n\n detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n const id = btn.getAttribute('data-id');\n const idx = btn.getAttribute('data-idx');\n const dur = btn.getAttribute('data-dur');\n if (id) {\n document.dispatchEvent(\n new CustomEvent('select-track', {\n detail: {\n id,\n idx: idx ? Number(idx) : null,\n dur: dur ? Number(dur) : null,\n },\n }),\n );\n }\n });\n });\n\n let lastNearestIdx: number | null = null;\n\n // 5. Render timeline chart\n const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement;\n if (timelineEl) {\n timelineEl.style.position = 'relative';\n const timelineTooltip = document.createElement('div');\n timelineTooltip.className = 'timeline-tooltip font-m';\n timelineTooltip.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n timelineEl.appendChild(timelineTooltip);\n\n if (xTimeline.length > 0) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound];\n\n const series: any[] = [\n {\n value: (u: any, v: number) => {\n if (v != null) return fmtDate(v * 1000);\n\n return '-';\n },\n },\n {\n label: 'Value',\n stroke: color,\n width: 0,\n points: { show: true, size: 6, fill: hexToRgba(color, 0.5) },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n points: { show: false },\n spanGaps: true,\n fill: 'transparent',\n dash: [5, 5],\n },\n {\n label: 'Lower Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n {\n label: 'Upper Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n ];\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n\n const optsTimeline: uPlot.Options = {\n width: Math.max(100, (gridWidth || 570) - 400),\n height: 250,\n padding: [0, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n cursor: {\n points: {\n show: false,\n },\n drag: { setScale: false },\n x: false,\n y: false,\n },\n scales: {\n x: {\n time: true,\n range: (u) => {\n const min = u.data[0][0];\n const max = u.data[0][u.data[0].length - 1];\n if (min === undefined || max === undefined) return [0, 100];\n\n if (min === max) return [min - 3600, max + 3600];\n\n return [min, max];\n },\n },\n y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] },\n },\n series: series,\n bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }],\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n if (lastNearestIdx != null) {\n const track = tracksFiltered[lastNearestIdx];\n if (track) {\n const stats = track.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[currentDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = currentDur;\n\n const startPt = track.points[bestIdx];\n const endPt = track.points[bestIdx + duration - 1];\n\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = track.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n\n opts.onTrackSelect?.(track.id, [min, max]);\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n }\n }\n });\n },\n ],\n draw: [\n (u: uPlot) => {\n let idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const val = u.data[1][idx];\n if (val != null) {\n const tpcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const tpcy = u.valToPos(val, 'y', true);\n\n const tctx = u.ctx;\n const tdpr = window.devicePixelRatio || 1;\n\n // Draw lines\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([2 * tdpr, 2 * tdpr]);\n tctx.strokeStyle = hexToRgba(color, 0.4);\n tctx.lineWidth = 1 * tdpr;\n // Vertical line\n tctx.moveTo(tpcx, u.bbox.top);\n tctx.lineTo(tpcx, u.bbox.top + u.bbox.height);\n // Horizontal line\n tctx.moveTo(u.bbox.left, tpcy);\n tctx.lineTo(u.bbox.left + u.bbox.width, tpcy);\n tctx.stroke();\n tctx.restore();\n\n // Draw hover halo\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([]); // Reset to solid\n tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = hexToRgba(color, 0.2);\n tctx.fill();\n tctx.restore();\n\n // Draw center circle\n tctx.save();\n tctx.beginPath();\n tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = color;\n tctx.fill();\n tctx.strokeStyle = '#fff';\n tctx.lineWidth = 2 * tdpr;\n tctx.stroke();\n tctx.restore();\n\n // Draw axis labels\n tctx.save();\n tctx.setLineDash([]); // Reset to solid\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`;\n const dateWidth = tctx.measureText(dateStr).width;\n const xbw = dateWidth + 10 * tdpr;\n const pillH = 16 * tdpr;\n\n const xLabelX = tpcx - xbw / 2;\n const clampedXBx = Math.max(\n u.bbox.left,\n Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX),\n );\n const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr;\n\n // X Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr);\n else tctx.rect(clampedXBx, xLabelY, xbw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'center';\n tctx.textBaseline = 'middle';\n tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const valStr = `${val.toFixed(0)} ${unit}`;\n const valWidth = tctx.measureText(valStr).width;\n const ybw = valWidth + 10 * tdpr;\n\n const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left\n const yLabelY = tpcy - pillH / 2;\n\n // Y Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr);\n else tctx.rect(yLabelX, yLabelY, ybw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'left';\n tctx.textBaseline = 'middle';\n tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2);\n\n tctx.restore();\n }\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n const bb = u.bbox;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n const xData = u.data[0];\n const yData = u.data[1];\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const y = yData[i];\n if (x == null || y == null) continue;\n\n const px = u.valToPos(x, 'x', false);\n const py = u.valToPos(y, 'y', false);\n\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n }\n }\n\n if (minD2 <= maxD2) {\n idx = nearestIdx;\n lastNearestIdx = nearestIdx;\n } else {\n idx = null;\n lastNearestIdx = null;\n }\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const track = tracksFiltered[idx];\n const cx = u.valToPos(u.data[0][idx], 'x', false);\n const cy = u.valToPos(u.data[1][idx]!, 'y', false);\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n\n const val = u.data[1][idx];\n const valStr = val != null ? `${val} ${unit}` : '\u2014';\n\n timelineTooltip.innerHTML = `\n
\n Date:\n ${dateStr}\n
\n
\n Value:\n ${valStr}\n
\n `;\n timelineTooltip.style.display = 'block';\n timelineTooltip.style.left = `${cursorLeft! + bb.left}px`;\n timelineTooltip.style.top = `${cursorTop! + bb.top}px`;\n timelineTooltip.style.transform = 'translate(5px, -50%)';\n } else {\n timelineTooltip.style.display = 'none';\n }\n },\n ],\n },\n axes: [\n {\n space: 50,\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n show: true,\n font: '10px system-ui, sans-serif',\n size: 30,\n values: (u: any, vals: any[]) =>\n vals.map((v) => {\n const d = new Date(v * 1000);\n return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`;\n }),\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n font: '10px system-ui, sans-serif',\n values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`),\n show: true,\n space: 15,\n size: 50,\n },\n ],\n };\n\n timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl);\n evolutionPlots.push(timelineChart);\n\n timelineEl.addEventListener('mouseleave', () => {\n timelineChart!.redraw();\n });\n\n // Range control moved to toolbar\n } else {\n timelineEl.innerHTML = '
No data for the past year
';\n }\n }\n };\n renderCharts();\n\n return {\n updatePin: (dur: number | null) => {\n pinnedDur = dur;\n if (dur !== null) currentDur = dur;\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`;\n\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n if (mainChart) mainChart.redraw();\n },\n updateRange: (range: string) => {\n currentRange = range;\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n },\n };\n}\n\nfunction getWeekStart(date: Date): Date {\n const d = new Date(date);\n const day = d.getUTCDay();\n const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday\n d.setUTCDate(diff);\n d.setUTCHours(0, 0, 0, 0);\n return d;\n}\n\nfunction computeWeeklyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 };\n\n weeklyData[weekKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeWeeklyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey])\n weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 };\n\n weeklyData[weekKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction renderProgressCard(\n grid: HTMLElement,\n allTracks: TrackData[],\n type: 'distance' | 'elevation',\n syncKey?: any,\n onDateRangeSelect?: (start: string, end: string) => void,\n gridWidth?: number,\n) {\n const isDistance = type === 'distance';\n const weeklyData = isDistance\n ? computeWeeklyDistance(allTracks)\n : computeWeeklyElevation(allTracks);\n const accumulated = computeAccumulatedMetric(allTracks, (t) =>\n isDistance ? t.stats.totalDist : t.stats.elevGain,\n );\n const color = isDistance ? Metrics.distance.color : Metrics.elevation.color;\n const unit = isDistance ? 'km' : 'm';\n const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = `chart-row ${type}-progress-card`;\n cardContainer.id = `${type}-evolution-card`;\n\n cardContainer.innerHTML = `\n
\n
\n ${icon}\n ${isDistance ? 'Distance Progress' : 'Elevation Progress'}\n
\n
\n
\n
\n
\n
\n
\n
\n ${renderAccumulatedTable(accumulated, isDistance, unit)}\n
\n
\n `;\n\n grid.appendChild(cardContainer);\n\n const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement;\n const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement;\n\n if (!chartEl || !yAxisEl) return;\n\n chartEl.style.position = 'relative';\n\n // Use inline tooltip style\n const tooltip = document.createElement('div');\n tooltip.className = 'cur-y-val';\n tooltip.style.cssText = `color:${color};display:none`;\n chartEl.appendChild(tooltip);\n\n const xData = weeklyData.map((d) => d.timestamp / 1000);\n const yData = isDistance\n ? (weeklyData as any[]).map((d) => d.distance / 1000)\n : (weeklyData as any[]).map((d) => d.elevation);\n\n if (xData.length === 0) return;\n\n const yDataSmoothed = gaussianSmooth(yData, 2);\n\n const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20);\n const width = Math.max(chartClientW, xData.length * 40);\n const maxVal = Math.max(...yData) * 1.1;\n\n const mainOpts: uPlot.Options = {\n width: width,\n height: 150,\n padding: [10, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n scales: {\n x: { time: true },\n y: { range: [0, maxVal] },\n },\n series: [\n {},\n {\n label: isDistance ? 'Distance' : 'Elevation',\n stroke: color,\n fill: hexToRgba(color, 0.1),\n width: 2,\n points: { show: true, size: 4 },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n dash: [5, 5],\n points: { show: false },\n },\n ],\n cursor: {\n sync: syncKey ? { key: syncKey.key } : undefined,\n drag: { x: false, y: false },\n points: { show: false },\n x: false,\n y: false,\n },\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null) {\n const item = weeklyData[idx];\n if (item) {\n const start = new Date(item.timestamp);\n const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week\n const startStr = start.toISOString().split('T')[0];\n const endStr = end.toISOString().split('T')[0];\n onDateRangeSelect?.(startStr, endStr);\n }\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n const idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (\n idx != null &&\n cursorLeft != null &&\n cursorTop != null &&\n cursorLeft >= 0 &&\n cursorTop >= 0\n ) {\n const val = u.data[1][idx];\n const valStr =\n val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '\u2014';\n\n tooltip.innerHTML = valStr;\n tooltip.style.display = 'block';\n tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`;\n tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`;\n tooltip.style.transform = 'translate(6px, -50%)';\n } else {\n tooltip.style.display = 'none';\n }\n\n u.redraw(false);\n },\n ],\n draw: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(u.data[1][idx]!, 'y', true);\n const dpr = window.devicePixelRatio || 1;\n const ctx = u.ctx;\n const bb = u.bbox;\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = color;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n // X Label Pill\n const d = new Date(u.data[0][idx]! * 1000);\n const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n },\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n space: 40,\n values: (self, splits) =>\n splits.map((s) => {\n const d = new Date(s * 1000);\n return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`;\n }),\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`),\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n };\n\n const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl);\n evolutionPlots.push(mainChart);\n\n const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement;\n if (scrollContainer && xData.length * 40 > width)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n\n return {\n updateRange: (range: string) => {\n const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000;\n\n const filteredData = weeklyData.filter((d) => d.timestamp >= minTime);\n\n const newXData = filteredData.map((d) => d.timestamp / 1000);\n const newYData = isDistance\n ? (filteredData as any[]).map((d) => d.distance / 1000)\n : (filteredData as any[]).map((d) => d.elevation);\n const newYDataSmoothed = gaussianSmooth(newYData, 2);\n\n const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40);\n const newMaxVal = Math.max(...newYData) * 1.1;\n\n mainChart.setSize({ width: newWidth, height: 150 });\n mainChart.setScale('y', { min: 0, max: newMaxVal });\n mainChart.setData([newXData, newYData, newYDataSmoothed]);\n\n if (scrollContainer)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n },\n };\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData } from '../parsers';\n\nexport interface AccumulatedData {\n currentYear: number;\n pastYear: number;\n past6m: number;\n past1m: number;\n total: number;\n currentYearAvg: number;\n pastYearAvg: number;\n past6mAvg: number;\n past1mAvg: number;\n totalAvg: number;\n}\n\nexport function computeAccumulatedMetric(\n allTracks: TrackData[],\n extractor: (t: TrackData) => number | undefined,\n): AccumulatedData {\n // Derive deterministic reference timestamp from tracks (or fixed UTC fallback)\n let refTs = 0;\n for (let i = 0; i < allTracks.length; i++) {\n const st = allTracks[i].stats?.startTime;\n if (st && st > refTs) refTs = st;\n }\n if (!refTs) refTs = Date.UTC(2026, 7, 1);\n\n const now = new Date(refTs);\n const currentYear = now.getUTCFullYear();\n\n const oneYearAgoMs = Date.UTC(\n currentYear - 1,\n now.getUTCMonth(),\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const sixMonthsAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 6,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const oneMonthAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 1,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n\n let currentYearVal = 0;\n let pastYearVal = 0;\n let past6mVal = 0;\n let past1mVal = 0;\n let totalVal = 0;\n\n let minTime = refTs;\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime) return;\n const val = extractor(t);\n if (val === undefined) return;\n\n totalVal += val;\n\n const time = t.stats.startTime;\n if (time < minTime) minTime = time;\n\n const date = new Date(time);\n\n if (date.getUTCFullYear() === currentYear) currentYearVal += val;\n\n if (time >= oneYearAgoMs) pastYearVal += val;\n\n if (time >= sixMonthsAgoMs) past6mVal += val;\n\n if (time >= oneMonthAgoMs) past1mVal += val;\n });\n\n const msecPerWeek = 7 * 24 * 60 * 60 * 1000;\n const currentYearStart = Date.UTC(currentYear, 0, 1);\n\n const currentYearWeeks = Math.max(0.1, (refTs - currentYearStart) / msecPerWeek);\n const pastYearWeeks = Math.max(0.1, (refTs - oneYearAgoMs) / msecPerWeek);\n const past6mWeeks = Math.max(0.1, (refTs - sixMonthsAgoMs) / msecPerWeek);\n const past1mWeeks = Math.max(0.1, (refTs - oneMonthAgoMs) / msecPerWeek);\n const totalWeeks = Math.max(0.1, (refTs - minTime) / msecPerWeek);\n\n return {\n currentYear: currentYearVal,\n pastYear: pastYearVal,\n past6m: past6mVal,\n past1m: past1mVal,\n total: totalVal,\n currentYearAvg: currentYearVal / currentYearWeeks,\n pastYearAvg: pastYearVal / pastYearWeeks,\n past6mAvg: past6mVal / past6mWeeks,\n past1mAvg: past1mVal / past1mWeeks,\n totalAvg: totalVal / totalWeeks,\n };\n}\n\nexport function renderAccumulatedTable(\n accumulated: AccumulatedData,\n isDistance: boolean,\n unit: string,\n): string {\n const factor = isDistance ? 1000 : 1;\n const format = (val: number) => {\n const formattedVal = isDistance ? val / factor : val;\n return formattedVal.toLocaleString('en-US', {\n minimumFractionDigits: isDistance ? 1 : 0,\n maximumFractionDigits: isDistance ? 1 : 0,\n });\n };\n\n return `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Period${isDistance ? 'Distance' : 'Elevation'}${isDistance ? 'Distance/Week' : 'Elevation/Week'}
Current Year${format(accumulated.currentYear)} ${unit}${format(accumulated.currentYearAvg)} ${unit}
Past Year${format(accumulated.pastYear)} ${unit}${format(accumulated.pastYearAvg)} ${unit}
Past 6 Months${format(accumulated.past6m)} ${unit}${format(accumulated.past6mAvg)} ${unit}
Past 1 Month${format(accumulated.past1m)} ${unit}${format(accumulated.past1mAvg)} ${unit}
Total${format(accumulated.total)} ${unit}${format(accumulated.totalAvg)} ${unit}
\n `;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 Main Application \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nimport { Storage } from './storage';\nimport { UrlState, AppState } from './url-state';\nimport { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers';\nimport { MapView } from './map';\nimport { ChartView } from './charts';\nimport { renderDetails, initDetails, resetDetails } from './tabs/details';\nimport { renderInsights, initInsights, resetInsights } from './tabs/insights';\nimport { renderCombined, initCombined, resizeCombined, resetCombined } from './tabs/combined';\nimport { renderEvolution, resetEvolution } from './tabs/progress';\nimport {\n renderCourses,\n initCourses,\n prepareBenchmarkCourses,\n resetCourses,\n selectCourse,\n} from './tabs/courses';\nimport { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils';\n\nconst TRACK_COLORS: string[] = [\n '#FF6B35',\n '#4ECDC4',\n '#45B7D1',\n '#F7DC6F',\n '#FF6B6B',\n '#BB8FCE',\n '#82E0AA',\n '#F8C471',\n '#3b82f6',\n];\n\nconst POINT_ZOOM_LEVEL = 16;\n\nlet tracks: Record = {};\nlet skippedImports: { name: string; reason: string }[] = [];\n\nfunction isSameDay(t1: number, t2: number) {\n const d1 = new Date(t1);\n const d2 = new Date(t2);\n return (\n d1.getUTCFullYear() === d2.getUTCFullYear() &&\n d1.getUTCMonth() === d2.getUTCMonth() &&\n d1.getUTCDate() === d2.getUTCDate()\n );\n}\n\nlet cancelProcessing = false;\nlet selectedId: string | null = null;\nlet colorIdx = 0;\nlet followDot = false;\nlet currentMapColors: string[] | null = null;\n\n// Search/Filter state\nlet searchQuery = '';\nlet searchRegex = false;\nlet currentSort = 'date-desc';\n\ninterface Filters {\n date: [string | null, string | null];\n dist: [number | null, number | null];\n dur: [number | null, number | null];\n metrics: Set;\n tags: string[];\n sport: string | null;\n}\n\nlet filters: Filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n};\n\nfunction syncFiltersToUrl(push: boolean = false) {\n UrlState.patch(\n {\n f_date: filters.date.every((v) => v === null) ? null : filters.date,\n f_dist: filters.dist.every((v) => v === null) ? null : filters.dist,\n f_dur: filters.dur.every((v) => v === null) ? null : filters.dur,\n f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics),\n f_tags: filters.tags.length === 0 ? null : filters.tags,\n },\n push,\n );\n}\n\nfunction syncMetricsToUrl() {\n const active = ChartView.getActiveMetrics();\n const metrics = ChartView.METRICS;\n const abbrs = Array.from(active).map((key) => metrics[key].abbr);\n UrlState.patch({ metrics: abbrs.length ? abbrs : null });\n}\n\nconst SORT_OPTIONS = [\n { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' },\n { label: 'Oldest first', val: 'date-asc', icon: 'history' },\n { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' },\n { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' },\n { label: 'Longest duration', val: 'dur-desc', icon: 'timer' },\n { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' },\n];\n\nfunction showSortMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'sort-menu-popup';\n\n SORT_OPTIONS.forEach((opt) => {\n const item = document.createElement('div');\n item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`;\n item.innerHTML = `\n ${opt.icon}\n ${opt.label}\n ${currentSort === opt.val ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n currentSort = opt.val;\n UrlState.patch({ sort: opt.val });\n updateSearchSortUI();\n renderTrackList();\n popup.remove();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction showMetricMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const available = ChartView.getAvailableMetrics();\n const active = ChartView.getActiveMetrics();\n\n Object.entries(metrics).forEach(([key, def]) => {\n if (!available.has(key)) return;\n\n const item = document.createElement('div');\n item.className = `menu-item ${active.has(key) ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${active.has(key) ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n ChartView.toggleMetric(key);\n const isNowActive = ChartView.getActiveMetrics().has(key);\n item.classList.toggle('active', isNowActive);\n item.querySelector('.check')!.textContent = isNowActive ? 'check' : '';\n\n const pill = document.querySelector(`#metric-pills .metric-pill[data-metric=\"${key}\"]`);\n if (pill) pill.classList.toggle('active', isNowActive);\n\n updateToolbarLayout();\n\n syncMetricsToUrl();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.right = `${window.innerWidth - rect.right}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\n// \u2500\u2500 Tab Management \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndocument.addEventListener('select-track', (e: any) => {\n const id = e.detail.id;\n const idx = e.detail.idx;\n const dur = e.detail.dur;\n if (id && tracks[id]) {\n selectTrack(id);\n if (idx != null && dur != null) {\n const t = tracks[id];\n const pts = t.points;\n if (idx >= 0 && idx < pts.length) {\n const pIdx = pts[idx];\n if (pIdx && pIdx.time != null) {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const tMin = (pIdx.time - t0) / 1000;\n const tMax = tMin + dur;\n\n // ChartView selection\n ChartView.restoreSelection(tMin, tMax);\n\n // Find iMax based on duration\n let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000);\n if (iMax === -1) iMax = pts.length - 1;\n\n const selPts = pts.slice(idx, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n\n renderInsights(t);\n\n MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n\n // Update URL state\n UrlState.patch({ sel: [tMin, tMax] });\n }\n }\n }\n }\n});\n\ndocument.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement;\n if (!btn) return;\n const nav = btn.closest('#tab-nav');\n if (!nav) return;\n\n // Toggle buttons\n nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn));\n\n const tab = btn.dataset.tab!;\n UrlState.patch({ tab }, true);\n\n // Toggle contents\n const panel = nav.closest('#chart-panel');\n if (panel) {\n panel.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`);\n });\n }\n\n if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId])\n renderDetails(tracks[selectedId], getGlobalTags());\n\n if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId])\n renderInsights(tracks[selectedId]);\n\n if (btn.dataset.tab === 'evolution') {\n renderEvolution(\n selectedId ? tracks[selectedId] : null,\n Object.values(tracks),\n (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n },\n (start, end) => {\n filters.date = [start, end];\n applyFilters();\n syncFiltersToUrl(true);\n updateFilterUI();\n },\n );\n }\n\n if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId])\n renderCombined(tracks[selectedId]);\n\n if (btn.dataset.tab === 'courses') renderCourses();\n\n if (btn.dataset.tab === 'graphs') {\n ChartView.resize();\n updateToolbarLayout();\n\n // Restore selection from URL\n const s = UrlState.get().sel;\n if (s) ChartView.restoreSelection(s[0], s[1]);\n }\n});\n\nasync function resetBenchmarkState() {\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n await Storage.clear();\n tracks = {};\n skippedImports = [];\n selectedId = null;\n colorIdx = 0;\n currentMapColors = null;\n cancelProcessing = false;\n followDot = false;\n searchQuery = '';\n searchRegex = false;\n currentSort = 'date-desc';\n filters.date = [null, null];\n filters.dist = [null, null];\n filters.dur = [null, null];\n filters.metrics.clear();\n filters.tags = [];\n Parsers.setHRZones([120, 140, 160, 180]);\n Parsers.setFTP(200);\n resetCourses();\n resetInsights();\n resetDetails();\n resetCombined();\n resetEvolution();\n if (MapView.removeAllTracks) MapView.removeAllTracks();\n if (MapView.clearTracks) MapView.clearTracks();\n MapView.clearHighlight();\n if (ChartView.resetState) ChartView.resetState();\n else if (ChartView.clear) ChartView.clear();\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs');\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === 'tab-graphs');\n });\n UrlState.reset();\n const toastContainer = document.getElementById('toast-container');\n if (toastContainer) toastContainer.innerHTML = '';\n document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove());\n if (typeof renderTrackList === 'function') renderTrackList();\n}\n\n// \u2500\u2500 Boot \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nasync function init() {\n // Wait for fonts to be loaded with a cleaned-up timeout\n let fontTimerId: number | null = null;\n const fontTimeout = new Promise((resolve) => {\n fontTimerId = window.setTimeout(resolve, 1000);\n });\n try {\n const fontLoadPromise = document.fonts\n ? Promise.all([\n document.fonts.load('24px \"Material Symbols Rounded\"').catch(() => {}),\n document.fonts.ready,\n ])\n : Promise.resolve();\n await Promise.race([fontLoadPromise, fontTimeout]);\n } finally {\n if (fontTimerId !== null) window.clearTimeout(fontTimerId);\n }\n document.body.classList.remove('loading-fonts');\n const storageSelect = document.getElementById(\n 'storage-backend-select',\n ) as HTMLSelectElement | null;\n if (storageSelect) {\n storageSelect.value = UrlState.get().storage || 'memory';\n storageSelect.addEventListener('change', (e) => {\n const selected = (e.target as HTMLSelectElement).value;\n const params = new URLSearchParams(window.location.search);\n if (selected === 'memory') {\n params.delete('storage');\n } else {\n params.set('storage', selected);\n }\n window.location.search = params.toString();\n });\n }\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const mapLoader = document.getElementById('map-loader');\n const mapLoaderSpan = mapLoader?.querySelector('span');\n\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...';\n mapLoader.classList.remove('hidden');\n }\n\n const urlState = UrlState.get();\n\n initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n\n // Init sub-systems\n MapView.init(\n (id) => selectTrack(id),\n onMapMove,\n onMapPointClick,\n (id, idx) => {\n if (id === selectedId) ChartView.setHoverAt(idx);\n else ChartView.setHoverAt(null);\n },\n onMapDblClick,\n );\n ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => {\n UrlState.patch({ sel_point: idx });\n });\n\n ChartView.setMapColorChangeCb((data) => {\n if (data) {\n currentMapColors = data.colors;\n if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors);\n } else {\n currentMapColors = null;\n if (selectedId) MapView.clearMetricColor(selectedId);\n }\n\n // Refresh highlight with new colors if a selection exists\n const currentUrlState = UrlState.get();\n if (currentUrlState.sel)\n onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis());\n });\n\n applyState(urlState);\n\n // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions\n await Storage.openDB();\n await resetBenchmarkState();\n\n // Load persisted tracks\n try {\n // Load global settings\n const hrZones = await Storage.get('hr_zones');\n if (hrZones) Parsers.setHRZones(hrZones);\n\n const ftp = await Storage.get('ftp');\n if (ftp) Parsers.setFTP(ftp);\n\n const saved = await Storage.getAll();\n saved.sort((a, b) => a.addedAt - b.addedAt);\n\n if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`;\n\n const tracksToLoad: TrackData[] = [];\n for (const t of saved) {\n let updated = false;\n if (!t.bounds && t.points.length > 0) {\n const b = calculateBounds(t.points);\n if (b) {\n t.bounds = b;\n updated = true;\n }\n }\n if (!t.simplifiedPoints && t.points.length > 0) {\n t.simplifiedPoints = simplifyTrack(t.points, 50);\n updated = true;\n }\n if (updated) await Storage.save(t);\n\n tracks[t.id] = t;\n tracksToLoad.push(t);\n }\n MapView.addTracks(tracksToLoad);\n applyFilters();\n\n const restoreId =\n urlState.track && saved.find((t) => t.id === urlState.track)\n ? urlState.track\n : saved.length > 0\n ? saved[0].id\n : null;\n\n const mapLoader = document.getElementById('map-loader');\n\n // 1. Process and load the \"Priority\" track first\n const selectedTrackData = saved.find((t) => t.id === restoreId);\n if (selectedTrackData) {\n await processAndLoadTrack(selectedTrackData);\n selectTrack(selectedTrackData.id, !urlState.map_pos);\n\n // Explicitly restore selection/pin from URL if they exist\n if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]);\n });\n });\n }\n if (urlState.sel_point !== undefined && urlState.sel_point !== null) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.setCursorAt(urlState.sel_point!);\n });\n });\n }\n }\n\n // Hide database loader\n if (mapLoader) mapLoader.classList.add('hidden');\n\n // 2. Load the rest in background chunks\n if (saved.length > (selectedTrackData ? 1 : 0)) {\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...';\n mapLoader.classList.remove('hidden');\n }\n\n const remaining = saved.filter((t) => t.id !== restoreId);\n let index = 0;\n\n const loadNextChunk = async () => {\n const chunkSize = 2; // Process 2 tracks per frame\n const end = Math.min(index + chunkSize, remaining.length);\n\n for (; index < end; index++) await processAndLoadTrack(remaining[index]);\n\n if (index < remaining.length) {\n requestAnimationFrame(loadNextChunk);\n } else {\n if (mapLoader) mapLoader.classList.add('hidden');\n applyFilters(); // Final sync\n if (selectedId && tracks[selectedId]) {\n renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n // Only fit all if no saved map position and we just finished loading everything\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n };\n\n requestAnimationFrame(loadNextChunk);\n } else {\n applyFilters();\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n } catch (e) {\n console.warn('Could not load saved tracks:', e);\n }\n\n // Panel resizers\n initResizeHandle();\n initSidebarResizer();\n initMetricPillDraggable();\n updateToolbarLayout();\n\n // Basemap switcher\n document.getElementById('basemap-switcher')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement;\n if (!btn) return;\n document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n if (btn.dataset.layer) {\n MapView.switchBasemap(btn.dataset.layer);\n UrlState.patch({ map: btn.dataset.layer });\n }\n });\n\n // Fit all\n document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll());\n\n // Clear all\n document.getElementById('btn-clear-all')?.addEventListener('click', clearAll);\n\n // Search\n document.getElementById('track-search')?.addEventListener('input', (e) => {\n searchQuery = (e.target as HTMLInputElement).value;\n applyFilters();\n UrlState.patch({ q: searchQuery || null });\n });\n\n document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => {\n searchRegex = !searchRegex;\n (e.target as HTMLElement).classList.toggle('active', searchRegex);\n applyFilters();\n UrlState.patch({ re: searchRegex ? 1 : null });\n });\n\n // Sort\n document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSortMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric menu toggle\n document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMetricMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric toggles (shared logic)\n const toggleMetric = (metric: string, pill: HTMLElement | null) => {\n if (pill) pill.classList.toggle('active');\n ChartView.toggleMetric(metric);\n syncMetricsToUrl();\n };\n\n document.getElementById('metric-pills')?.addEventListener('click', (e) => {\n const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (pill) {\n const metric = pill.dataset.metric;\n if (metric) {\n toggleMetric(metric, pill);\n\n // Scroll to it if it became active\n if (ChartView.getActiveMetrics().has(metric)) {\n const targetEl = document.querySelector(`.chart-row[data-metric=\"${metric}\"]`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n }\n }\n });\n\n // X-axis toggle\n document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const axis = btn.dataset.axis!;\n ChartView.setXAxis(axis);\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', b === btn));\n UrlState.patch({ xaxis: axis });\n });\n\n // Follow dot\n document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => {\n followDot = !followDot;\n (e.currentTarget as HTMLElement).classList.toggle('active', followDot);\n });\n\n // Reset zoom\n document.getElementById('btn-reset-zoom')?.addEventListener('click', () => {\n ChartView.resetZoom();\n MapView.clearHighlight();\n });\n\n // File drag/drop\n initDropZone();\n\n // File browse\n document.getElementById('file-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n document.getElementById('folder-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n\n // Filters\n document.getElementById('btn-toggle-filters')?.addEventListener('click', () => {\n const panel = document.getElementById('filter-panel');\n if (panel) {\n panel.classList.toggle('hidden');\n document\n .getElementById('btn-toggle-filters')\n ?.classList.toggle('active', !panel.classList.contains('hidden'));\n }\n });\n\n const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => {\n const val = (e.target as HTMLInputElement).value;\n (filters[type] as any)[idx] = val === '' ? null : val;\n applyFilters();\n syncFiltersToUrl();\n };\n\n document\n .getElementById('filter-date-start')\n ?.addEventListener('change', (e) => onFilterInput('date', 0, e));\n document\n .getElementById('filter-date-end')\n ?.addEventListener('change', (e) => onFilterInput('date', 1, e));\n document\n .getElementById('filter-dist-min')\n ?.addEventListener('input', (e) => onFilterInput('dist', 0, e));\n document\n .getElementById('filter-dist-max')\n ?.addEventListener('input', (e) => onFilterInput('dist', 1, e));\n document\n .getElementById('filter-dur-min')\n ?.addEventListener('input', (e) => onFilterInput('dur', 0, e));\n document\n .getElementById('filter-dur-max')\n ?.addEventListener('input', (e) => onFilterInput('dur', 1, e));\n\n const burgerBtn = document.getElementById('sport-burger-btn');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n burgerBtn?.addEventListener('click', (e) => {\n e.stopPropagation();\n if (dropdownContent) {\n const isVisible = dropdownContent.style.display === 'block';\n dropdownContent.style.display = isVisible ? 'none' : 'block';\n }\n });\n\n document.addEventListener('click', (e) => {\n if (dropdownContent && dropdownContent.style.display === 'block') {\n if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn)\n dropdownContent.style.display = 'none';\n }\n });\n\n document.getElementById('sport-filter-container')?.addEventListener('click', (e) => {\n const target = e.target as HTMLElement;\n const btn = target.closest('[data-sport]');\n if (btn) {\n const selectedSport = (btn as HTMLElement).dataset.sport || null;\n filters.sport = filters.sport === selectedSport ? null : selectedSport;\n applyFilters();\n syncFiltersToUrl();\n updateFilterUI();\n\n if (target.closest('.dropdown-item')) {\n if (dropdownContent) dropdownContent.style.display = 'none';\n }\n }\n });\n\n document.getElementById('filter-metrics')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement;\n if (!btn) return;\n const m = btn.dataset.metric!;\n if (filters.metrics.has(m)) filters.metrics.delete(m);\n else filters.metrics.add(m);\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('btn-reset-filters')?.addEventListener('click', () => {\n filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n };\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('filter-tags')?.addEventListener('input', (e) => {\n const val = (e.target as HTMLInputElement).value;\n filters.tags = val\n .split(',')\n .map((s) => s.trim().toLowerCase())\n .filter((s) => !!s);\n applyFilters();\n syncFiltersToUrl();\n });\n\n // Keyboard shortcuts\n document.addEventListener('keydown', (e) => {\n if (e.key === 'Escape') {\n MapView.hideCursor();\n MapView.closePopup?.();\n // Dismiss popups and modals\n document\n .querySelectorAll(\n '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop',\n )\n .forEach((el) => el.remove());\n }\n });\n\n // Resize charts when window changes\n window.addEventListener('resize', () => {\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n updateToolbarLayout();\n });\n\n // Handle back/forward navigation\n window.addEventListener('popstate', () => {\n UrlState.refresh();\n applyState(UrlState.get());\n });\n\n initBenchmarkTriggers();\n await preloadBenchmarkFiles();\n\n // Signal to Speedometer test harness that asynchronous initialization has completed\n // and benchmark step triggers are bound.\n const readyEl = document.createElement('div');\n readyEl.id = 'app-is-ready';\n readyEl.setAttribute('data-ready', 'true');\n readyEl.style.display = 'none';\n document.body.appendChild(readyEl);\n\n const camelReadyEl = document.createElement('div');\n camelReadyEl.id = 'appIsReady';\n camelReadyEl.setAttribute('data-ready', 'true');\n camelReadyEl.style.display = 'none';\n document.body.appendChild(camelReadyEl);\n}\n\nlet preloadedBenchmarkPayloads:\n | {\n cleanName: string;\n buf: ArrayBuffer;\n text?: string;\n file: File;\n }[]\n | null = null;\n\nasync function preloadBenchmarkFiles(): Promise<\n { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[]\n> {\n if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads;\n try {\n const manifestResp = await fetch('./test-data/manifest.json');\n const fileNames: string[] = await manifestResp.json();\n const decoder = new TextDecoder();\n preloadedBenchmarkPayloads = await Promise.all(\n fileNames.map(async (name) => {\n const fileResp = await fetch(`./test-data/${name}`);\n let buf = await fileResp.arrayBuffer();\n let cleanName = name;\n if (name.toLowerCase().endsWith('.gz')) {\n cleanName = name.slice(0, -3);\n const bytes = new Uint8Array(buf);\n if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) {\n const ds = new DecompressionStream('gzip');\n const stream = new Blob([buf]).stream().pipeThrough(ds);\n buf = await new Response(stream).arrayBuffer();\n }\n }\n const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf);\n const file = new File([buf], cleanName, { type: 'application/octet-stream' });\n (file as any)._buf = buf;\n if (text !== undefined) (file as any)._text = text;\n return { cleanName, buf, text, file };\n }),\n );\n // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase\n let warmSample: any = null;\n for (const idx of [0, 2, 4]) {\n if (preloadedBenchmarkPayloads[idx]) {\n const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file);\n if (idx === 0) warmSample = parsed;\n }\n }\n if (warmSample) {\n const warmPts = warmSample.points.slice(0, 60);\n const warmTrack: TrackData = {\n ...warmSample,\n id: 'warmup',\n fileName: 'warmup.gpx',\n fileSize: 1024,\n points: warmPts,\n stats: Parsers.computeStats(warmPts),\n addedAt: 1785542400000,\n visible: true,\n color: TRACK_COLORS[0],\n };\n Parsers.ensureCurvesAndZones(warmTrack);\n ChartView.loadTrack(warmTrack, [warmTrack], false);\n ChartView.setActiveMetrics(['elevation', 'speed', 'power']);\n renderInsights(warmTrack);\n renderEvolution(warmTrack, [warmTrack]);\n await resetBenchmarkState();\n void document.body.offsetHeight;\n await new Promise((r) => window.setTimeout(r, 0));\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n return preloadedBenchmarkPayloads;\n } catch {\n return [];\n }\n}\n\nfunction initBenchmarkTriggers() {\n const btnLoad = document.getElementById('btn-step-load');\n const btnAnalysis = document.getElementById('btn-step-analysis');\n const btnInsights = document.getElementById('btn-step-insights');\n const btnDetails = document.getElementById('btn-step-details');\n const btnAggregate = document.getElementById('btn-step-aggregate');\n const btnEvolution = document.getElementById('btn-step-evolution');\n const btnCourses = document.getElementById('btn-step-courses');\n\n function activateTab(tabName: string) {\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName);\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${tabName}`);\n });\n UrlState.patch({ tab: tabName }, false);\n }\n\n btnLoad?.addEventListener('click', async () => {\n try {\n if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) {\n await Storage.openDB();\n await resetBenchmarkState();\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n const payloads = await preloadBenchmarkFiles();\n const loadedFiles: File[] = payloads.map((p) => p.file);\n await handleFiles(loadedFiles);\n const allTracks = Object.values(tracks);\n if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id);\n } finally {\n window.dispatchEvent(new CustomEvent('load-and-parse-complete'));\n }\n });\n\n btnAnalysis?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('graphs');\n if (!selectedId && allTracks.length > 0) {\n selectTrack(allTracks[0].id);\n }\n ChartView.restoreSelection(120, 900, true);\n ChartView.setCursorAt(300, true);\n const availableMetrics = ChartView.getAvailableMetrics();\n const analysisMetrics = ['elevation', 'speed', 'power'].filter((m) =>\n availableMetrics.has(m),\n );\n if (analysisMetrics.length > 0) {\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const metric = (el as HTMLElement).dataset.metric;\n if (metric) el.classList.toggle('active', analysisMetrics.includes(metric));\n });\n updateToolbarLayout();\n ChartView.setActiveMetrics(analysisMetrics);\n } else {\n updateToolbarLayout();\n }\n onChartRangeChange(120, 900, ChartView.getXAxis(), false);\n } finally {\n window.dispatchEvent(new CustomEvent('analysis-complete'));\n }\n });\n\n btnInsights?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t));\n activateTab('insights');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderInsights(primaryTrack);\n } finally {\n window.dispatchEvent(new CustomEvent('insights-complete'));\n }\n });\n\n btnDetails?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('details');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderDetails(primaryTrack, getGlobalTags());\n } finally {\n window.dispatchEvent(new CustomEvent('details-complete'));\n }\n });\n\n btnAggregate?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n if (allTracks.length >= 2) {\n const selectedTwo = [allTracks[0], allTracks[1]];\n activateTab('combined');\n renderCombined(selectedTwo);\n resizeCombined();\n }\n } finally {\n window.dispatchEvent(new CustomEvent('aggregate-complete'));\n }\n });\n\n btnEvolution?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('evolution');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderEvolution(primaryTrack, allTracks, (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n } finally {\n window.dispatchEvent(new CustomEvent('evolution-complete'));\n }\n });\n\n btnCourses?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('courses');\n prepareBenchmarkCourses(allTracks);\n renderCourses();\n selectCourse('course-1', true);\n } finally {\n window.dispatchEvent(new CustomEvent('courses-complete'));\n }\n });\n\n (window as any).benchmarkSteps = {\n loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(),\n displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(),\n displayInsights: () => document.getElementById('btn-step-insights')?.click(),\n displayDetails: () => document.getElementById('btn-step-details')?.click(),\n displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(),\n displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(),\n displayCourses: () => document.getElementById('btn-step-courses')?.click(),\n };\n}\n\nasync function processAndLoadTrack(t: TrackData) {\n // Migration: re-calculate stats if new insights are missing or old format\n const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : [];\n\n const needsEnrich =\n t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined);\n\n const needsRecalc =\n needsEnrich ||\n !t.stats.powerCurve ||\n !t.stats.hrZones ||\n !t.stats.hrCurve ||\n t.stats.shifts === undefined ||\n t.stats.avgBattery === undefined ||\n t.stats.avgTemp === undefined ||\n (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') ||\n ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]);\n\n if (needsRecalc) {\n if (needsEnrich) t.points = Parsers.enrichPoints(t.points);\n t.stats = Parsers.computeStats(t.points);\n await Storage.save(t);\n }\n\n tracks[t.id] = t;\n colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1);\n MapView.addTrack(t);\n MapView.setTrackVisible(t.id, t.visible && !t._filtered);\n renderTrackList(); // Progressive list update\n}\n\nfunction initResizeHandle() {\n const handle = document.getElementById('resize-handle');\n const panel = document.getElementById('chart-panel');\n if (!handle || !panel) return;\n\n let isDragging = false;\n\n handle.addEventListener('mousedown', () => {\n isDragging = true;\n document.body.style.cursor = 'ns-resize';\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const h = window.innerHeight - e.clientY;\n const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h));\n panel.style.height = `${clampedH}px`;\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n document.body.style.cursor = '';\n });\n}\n\nfunction initSidebarResizer() {\n const resizer = document.getElementById('sidebar-resizer');\n const sidebar = document.getElementById('sidebar');\n if (!resizer || !sidebar) return;\n\n let isDragging = false;\n\n resizer.addEventListener('mousedown', () => {\n isDragging = true;\n resizer.classList.add('dragging');\n document.body.classList.add('dragging-sidebar');\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const w = e.clientX;\n const clampedW = Math.max(200, Math.min(600, w));\n sidebar.style.width = `${clampedW}px`;\n sidebar.style.setProperty('--sidebar-w', `${clampedW}px`);\n ChartView.resize();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n resizer.classList.remove('dragging');\n document.body.classList.remove('dragging-sidebar');\n });\n}\n\n// \u2500\u2500 Event Handlers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nfunction onMapMove(lat: number, lng: number, zoom: number) {\n UrlState.patch({ map_pos: [lat, lng, zoom] });\n}\n\nfunction onMapPointClick(id: string, idx: number) {\n selectTrack(id, false);\n ChartView.setCursorAt(idx);\n}\n\nfunction onMapDblClick() {\n // MapView.fitAll();\n}\n\nfunction onChartCursorMove(pt: TrackPoint | null) {\n if (pt && pt.lat != null && pt.lon != null) {\n MapView.showCursorAt(pt.lat, pt.lon);\n if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true);\n } else {\n MapView.hideCursor();\n }\n}\n\nfunction onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) {\n if (!selectedId || !tracks[selectedId]) return;\n const t = tracks[selectedId];\n\n if (min === null || max === null) {\n MapView.clearHighlight();\n if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n UrlState.patch({ sel: null });\n return;\n }\n\n // Find point indices\n const pts = t.points;\n let iMin = 0,\n iMax = pts.length - 1;\n\n if (axis === 'distance') {\n const d0 = min * 1000,\n d1 = max * 1000;\n iMin = pts.findIndex((p) => (p.dist || 0) >= d0);\n iMax = pts.findIndex((p) => (p.dist || 0) >= d1);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const ts0 = t0 + min * 1000,\n ts1 = t0 + max * 1000;\n iMin = pts.findIndex((p) => (p.time || 0) >= ts0);\n iMax = pts.findIndex((p) => (p.time || 0) >= ts1);\n }\n\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = pts.length - 1;\n\n // Compute selection stats\n const selPts = pts.slice(iMin, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n\n MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n UrlState.patch({ sel: [min, max] });\n}\n\nfunction onChartClick(pt: TrackPoint, idx: number) {\n if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL);\n}\n\nexport function selectTrack(id: string, fit = true, deferChartRender = false) {\n if (!tracks[id]) return;\n if (id === selectedId) {\n if (fit) MapView.fitTrack(id);\n return;\n }\n\n const hadSelected = selectedId !== null;\n if (hadSelected) {\n // Clear current views immediately before loading new data\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n }\n\n selectedId = id;\n\n // Fully reset metric coloring when switching tracks\n currentMapColors = null;\n MapView.clearMetricColor(id);\n if (hadSelected) {\n ChartView.toggleMapColor(null); // Ensure ChartView state also resets\n }\n\n // Clear selection on new track\n UrlState.patch({ track: id, sel: null }, true);\n if (hadSelected) {\n ChartView.cancelSelection();\n }\n\n // Update UI immediately\n renderTrackList();\n\n // Render details\n const activeTab = UrlState.get().tab || 'graphs';\n if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags());\n if (activeTab === 'insights') renderInsights(tracks[id]);\n if (activeTab === 'combined') renderCombined(tracks[id]);\n if (activeTab === 'courses') renderCourses();\n if (activeTab === 'evolution') {\n renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n\n // Tell sub-views\n MapView.setSelectedTrack(id, fit);\n if (fit) MapView.fitTrack(id);\n ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender);\n}\n\nasync function deleteTrack(id: string) {\n await Storage.remove(id);\n MapView.removeTrack(id);\n delete tracks[id];\n if (selectedId === id) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n UrlState.patch({ track: null, sel: null, sel_point: null });\n }\n applyFilters();\n}\n\nasync function clearAll() {\n const code = Math.floor(10 + Math.random() * 90).toString();\n\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n backdrop.innerHTML = `\n
\n
Delete all tracks?
\n
\n This will permanently remove all tracks from your browser storage. This action cannot be undone.\n
\n
\n
Enter \"${code}\" to confirm:
\n \n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const input = backdrop.querySelector('.modal-input') as HTMLInputElement;\n const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement;\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n\n input.focus();\n\n input.addEventListener('input', () => {\n btnConfirm.disabled = input.value !== code;\n });\n\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n\n btnConfirm.addEventListener('click', async () => {\n if (input.value !== code) return;\n close();\n\n cancelProcessing = true;\n await Storage.clear();\n\n tracks = {};\n selectedId = null;\n MapView.clearHighlight();\n window.location.reload();\n });\n}\n\nfunction applyFilters(skipRender = false) {\n const ids = Object.keys(tracks);\n ids.forEach((id) => {\n const t = tracks[id];\n const s = t.stats;\n let visible = true;\n\n // Search query\n if (searchQuery) {\n if (searchRegex) {\n try {\n const re = new RegExp(searchQuery, 'i');\n if (!re.test(t.name)) visible = false;\n } catch (e) {\n visible = false;\n }\n } else {\n if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false;\n }\n }\n\n // Date filter\n if (visible && (filters.date[0] || filters.date[1])) {\n const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0;\n const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity;\n const t0 = s.startTime || 0;\n if (t0 < start || t0 > end) visible = false;\n }\n\n // Distance filter\n if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) {\n const min = (filters.dist[0] || 0) * 1000;\n const max = (filters.dist[1] || Infinity) * 1000;\n if (s.totalDist < min || s.totalDist > max) visible = false;\n }\n\n // Duration filter\n if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) {\n const min = (filters.dur[0] || 0) * 60000;\n const max = (filters.dur[1] || Infinity) * 60000;\n const d = s.duration || 0;\n if (d < min || d > max) visible = false;\n }\n\n // Metrics filter\n if (visible && filters.metrics.size > 0) {\n for (const m of filters.metrics) {\n const field = ChartView.METRICS[m].field;\n if (!t.points.some((p: any) => p[field] != null)) {\n visible = false;\n break;\n }\n }\n }\n\n // Sport filter\n if (visible && filters.sport) {\n if (t.sport !== filters.sport) visible = false;\n }\n\n // Tags filter\n if (visible && filters.tags.length > 0) {\n const trackTags = t.tags || [];\n if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false;\n }\n\n t._filtered = !visible;\n MapView.setTrackVisible(t.id, t.visible && visible);\n });\n\n if (!skipRender) renderTrackList();\n}\n\nfunction updateFilterUI() {\n (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || '';\n (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || '';\n (document.getElementById('filter-dist-min') as HTMLInputElement).value =\n filters.dist[0] !== null ? String(filters.dist[0]) : '';\n (document.getElementById('filter-dist-max') as HTMLInputElement).value =\n filters.dist[1] !== null ? String(filters.dist[1]) : '';\n (document.getElementById('filter-dur-min') as HTMLInputElement).value =\n filters.dur[0] !== null ? String(filters.dur[0]) : '';\n (document.getElementById('filter-dur-max') as HTMLInputElement).value =\n filters.dur[1] !== null ? String(filters.dur[1]) : '';\n (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', ');\n\n document\n .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item')\n .forEach((el) => {\n const item = el as HTMLElement;\n item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || ''));\n });\n\n document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => {\n const btn = el as HTMLElement;\n btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!));\n });\n\n const activeCount =\n (filters.date[0] ? 1 : 0) +\n (filters.date[1] ? 1 : 0) +\n (filters.dist[0] !== null ? 1 : 0) +\n (filters.dist[1] !== null ? 1 : 0) +\n (filters.dur[0] !== null ? 1 : 0) +\n (filters.dur[1] !== null ? 1 : 0) +\n filters.metrics.size +\n (filters.tags.length > 0 ? 1 : 0);\n\n const badge = document.querySelector('#btn-toggle-filters .btn-badge');\n if (badge) {\n badge.textContent = activeCount > 0 ? String(activeCount) : '';\n badge.classList.toggle('hidden', activeCount === 0);\n }\n}\n\nfunction updateSearchSortUI() {\n const searchInput = document.getElementById('track-search') as HTMLInputElement;\n if (searchInput) searchInput.value = searchQuery;\n document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex);\n\n const opt = SORT_OPTIONS.find((o) => o.val === currentSort);\n if (opt) {\n const labelEl = document.getElementById('sort-current-label');\n const iconEl = document.getElementById('sort-current-icon');\n if (labelEl)\n labelEl.textContent = opt.label\n .replace(' first', '')\n .replace(' distance', '')\n .replace(' duration', '');\n if (iconEl) iconEl.textContent = opt.icon;\n }\n}\n\nfunction applyState(urlState: AppState) {\n // Restore track\n const newTrackId = urlState.track;\n if (newTrackId !== selectedId) {\n if (newTrackId && tracks[newTrackId]) {\n selectTrack(newTrackId, true);\n } else if (!newTrackId && selectedId) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n renderTrackList();\n MapView.fitAll();\n }\n }\n\n // Restore basemap\n if (urlState.map && typeof urlState.map === 'string') {\n MapView.switchBasemap(urlState.map);\n document\n .querySelectorAll('.bm-btn')\n .forEach((b) =>\n b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map),\n );\n }\n\n // Restore map position\n if (urlState.map_pos) {\n const [lat, lng, zoom] = urlState.map_pos;\n MapView.setPosition(lat, lng, zoom);\n }\n\n // Restore tab\n if (urlState.tab) {\n document.querySelectorAll('.tab-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n if (b.dataset.tab === urlState.tab) {\n if (!b.classList.contains('active')) b.click();\n }\n });\n }\n\n // Restore x-axis mode\n if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis);\n\n const currentXAxis = urlState.xaxis || 'time';\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis));\n\n // Restore active metrics\n if (urlState.metrics) {\n const metrics = ChartView.METRICS;\n const keys = urlState.metrics\n .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr))\n .filter((k): k is string => k !== undefined);\n if (keys.length) ChartView.setActiveMetrics(keys);\n }\n\n // Restore filters\n if (urlState.f_date)\n filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null];\n if (urlState.f_dist)\n filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_dur)\n filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets);\n if (urlState.f_tags) filters.tags = urlState.f_tags;\n\n updateFilterUI();\n\n if (urlState.q) searchQuery = urlState.q;\n if (urlState.re) searchRegex = urlState.re;\n if (urlState.sort) currentSort = urlState.sort;\n updateSearchSortUI();\n\n applyFilters();\n}\n\nfunction updateSportFilterOptions() {\n const container = document.getElementById('sport-filter-container');\n if (!container) return;\n\n const commonContainer = document.getElementById('common-sports');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n if (!commonContainer || !dropdownContent) return;\n\n const sports = new Set();\n Object.values(tracks).forEach((t) => {\n if (t.sport) sports.add(t.sport);\n });\n\n const sportsArray = Array.from(sports).sort();\n const burgerDropdown = document.getElementById('sport-burger-dropdown');\n\n commonContainer.innerHTML = '';\n dropdownContent.innerHTML = '';\n\n if (sportsArray.length <= 4) {\n if (burgerDropdown) burgerDropdown.style.display = 'none';\n\n sportsArray.forEach((sport) => {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n });\n } else {\n if (burgerDropdown) burgerDropdown.style.display = 'inline-block';\n\n const commonSports = ['running', 'cycling', 'walking'];\n\n commonSports.forEach((sport) => {\n if (sports.has(sport)) {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n }\n });\n\n sportsArray.forEach((sport) => {\n const item = document.createElement('div');\n item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`;\n item.dataset.sport = sport;\n item.style.padding = '8px';\n item.style.cursor = 'pointer';\n item.style.display = 'flex';\n item.style.alignItems = 'center';\n item.style.gap = '8px';\n item.innerHTML = `\n ${getSportIcon(sport)}\n ${sport.charAt(0).toUpperCase() + sport.slice(1)}\n `;\n dropdownContent.appendChild(item);\n });\n }\n}\n\nfunction renderTrackList() {\n updateSportFilterOptions();\n const list = document.getElementById('track-list');\n const emptyEl = document.getElementById('track-list-empty') as HTMLElement;\n const headerLabel = document.querySelector('.section-label');\n if (!list) return;\n\n const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered);\n if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`;\n\n if (!ids.length) {\n list.innerHTML = '';\n if (emptyEl) {\n list.appendChild(emptyEl);\n emptyEl.style.display = 'block';\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n list.innerHTML = '';\n\n ids\n .sort((a, b) => {\n // Current selected always first\n if (a === selectedId) return -1;\n if (b === selectedId) return 1;\n\n const ta = tracks[a],\n tb = tracks[b];\n const sa = ta.stats,\n sb = tb.stats;\n\n let cmp = 0;\n switch (currentSort) {\n case 'date-asc':\n cmp = (sa.startTime || 0) - (sb.startTime || 0);\n break;\n case 'date-desc':\n cmp = (sb.startTime || 0) - (sa.startTime || 0);\n break;\n case 'dist-asc':\n cmp = (sa.totalDist || 0) - (sb.totalDist || 0);\n break;\n case 'dist-desc':\n cmp = (sb.totalDist || 0) - (sa.totalDist || 0);\n break;\n case 'dur-asc':\n cmp = (sa.duration || 0) - (sb.duration || 0);\n break;\n case 'dur-desc':\n cmp = (sb.duration || 0) - (sa.duration || 0);\n break;\n default:\n cmp = 0;\n }\n return cmp || a.localeCompare(b);\n })\n .forEach((id) => {\n list.appendChild(buildTrackItem(tracks[id]));\n });\n}\n\nfunction getGlobalTags(): string[] {\n const all = new Set();\n Object.values(tracks).forEach((t) => {\n (t.tags || []).forEach((tag) => all.add(tag));\n });\n return Array.from(all).sort();\n}\n\nfunction getSportIcon(sport: string | null): string {\n if (!sport) return 'category';\n const s = sport.toLowerCase();\n if (s.includes('run')) return 'directions_run';\n if (s.includes('cycl') || s.includes('bike')) return 'directions_bike';\n if (s.includes('walk')) return 'directions_walk';\n if (s.includes('swim')) return 'pool';\n if (s.includes('hik')) return 'hiking';\n return 'sports';\n}\n\nfunction buildTrackItem(track: TrackData) {\n const item = document.createElement('div');\n item.className = `track-item${track.id === selectedId ? ' selected' : ''}`;\n item.dataset.id = track.id;\n\n const date =\n track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date';\n\n const tagsHtml =\n (track.tags || []).length > 0\n ? `
${(track.tags || [])\n .map((t) => {\n const c = getTagColor(t);\n return `${escHtml(t)}`;\n })\n .join('')}
`\n : '';\n\n item.innerHTML = `\n
\n
\n
${escHtml(track.displayName || track.name)}
\n
\n
\n ${date}\n ${Math.round(track.stats.totalDist / 1000)} km\n ${track.sport ? `${getSportIcon(track.sport)}` : ''}\n ${track.format.toUpperCase()}\n
\n \n
\n ${tagsHtml}\n
\n `;\n\n item.addEventListener('click', (e) => {\n if ((e.target as HTMLElement).closest('.icon-btn')) return;\n selectTrack(track.id);\n });\n\n const btnVis = item.querySelector('.toggle-vis') as HTMLElement;\n btnVis.addEventListener('click', () => {\n track.visible = !track.visible;\n btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible\n ? 'visibility'\n : 'visibility_off';\n MapView.setTrackVisible(track.id, track.visible);\n Storage.save(track);\n });\n\n return item;\n}\n\nfunction showToast(msg: string, type: 'info' | 'error' = 'info') {\n const container = document.getElementById('toast-container');\n if (!container) return;\n container.innerHTML = '';\n const t = document.createElement('div');\n t.className = `toast ${type}`;\n t.textContent = msg;\n container.appendChild(t);\n}\n\nfunction showSkippedImportsModal() {\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n let listHtml = '';\n skippedImports.forEach((s) => {\n listHtml += `
${s.name}: ${s.reason}
`;\n });\n\n backdrop.innerHTML = `\n
\n
Skipped Imports
\n
\n ${listHtml || '
No skipped imports.
'}\n
\n
\n \n \n
\n
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"drawYAxisHighlight", "hIdx", "hasPinned", "hasHover", "cy", "drawVerticalLineOnly", "hexToRgba", "ctx", "dpr", "bb", "ax", "fontSize", "fontStr", "tw", "visibleL", "visibleR", "padH", "padV", "bw", "bh", "bx", "by", "drawXAxisLabels", "showHover", "updateTooltip", "binI", "other", "left", "width", "overlay", "selFill", "anchorLine", "anchorLabel", "anchorHandle", "anchorMarker", "endLine", "endLabel", "endHandle", "endMarker", "curYVal", "pinYVal", "self", "attachHandleDrag", "mousedownX", "rect", "attachHistTooltip", "aX", "eX", "overW", "overH", "plotBottom", "isAnchorVisible", "isEndVisible", "fillL", "fillR", "aText", "fmtXVal", "aLabelW", "aIcon", "eText", "eLabelW", "eIcon", "handleEl", "isAnchor", "startX", "startVal", "pxPerUnit", "onMove", "me", "dx", "newVal", "onUp", "BINS", "lo", "hi", "cnt", "bins", "binAccum", "k", "bi", "prev", "next", "canvas", "chartH", "hoverBinI", "hasSel", "selBins", "selBinAccum", "x", "W", "H", "peak", "pad", "plotW", "plotH", "binY", "binH", "baseAlpha", "total", "pts2", "cumSum", "my", "cp", "font9", "avgY", "minLabelY", "maxLabelY", "labelHeight", "countLower", "countHigher", "pLower", "pHigher", "font8", "textY", "fontB10", "midX", "getBinAt", "lineEl", "relY", "rawI", "count", "pct", "low", "high", "zoneHtml", "mid", "zones", "Zones", "zIdx", "z", "finalZIdx", "totalAccum", "totalPct", "html", "stotalAccum", "stotalPct", "ttH", "ttW", "binCenterY", "sum", "n", "gain", "loss", "prevEle", "isDist", "diff", "cx", "gColor", "g", "p0", "p1", "content", "front", "rear", "color44", "gradientColorRgbaCache", "gradientColorRgba", "c", "yMin", "yMax", "xScale", "yScale", "yBase", "idxs", "iStart", "iEnd", "byColor", "prevIdx", "xv1", "xv0", "x0", "y0", "x1", "y1", "color", "segs", "j", "drawHoverLine", "xVal", "opacity", "skipLine", "distVal", "timeVal", "bottomLabel", "topLabel", "drawPill", "text", "y", "isTop", "rx", "clampedRx", "ry", "pillH", "yVal", "cyClamp", "drawAreaFillAbove", "yDir", "yMult", "inSegment", "hasAnySegment", "lastPx", "xv", "yv", "px", "py", "ah", "ar", "ag", "ab", "br", "bg", "rr", "rg", "rb", "absG", "kmh", "windowMetres", "grads", "j0", "j1", "data", "res", "right", "getAvg", "avgSpeed", "avgPower", "avgCadence", "newActive", "isStepped", "drawBackgroundTracks", "GAP_THRESHOLD", "field", "first", "prevP", "prevXVal", "lastFrontGear", "fMin", "fMax", "fg", "rMin", "rMax", "isTimeAxis", "gapSec", "prevDrawnI", "prevX", "prevY", "segmentColor", "prevXv", "SENSOR_ICONS", "Metrics", "onTagsChangeCb", "onDeleteTrackCb", "initDetails", "onTagsChange", "onDeleteTrack", "resetDetails", "container", "renderDetails", "track", "globalTags", "s", "t0", "pts", "stabilityWindows", "stabilityFields", "stabilityAccum", "pass", "w", "f", "sum", "sumSq", "autoCov", "halfW", "i", "v", "old", "mean", "variance", "lagVal", "telemetryStabilityPct", "escHtml", "t", "fmtSecs", "fmtFileSize", "getSportIcon", "SPORTS", "fmtDateTime", "sensor", "seen", "d", "key", "name", "manufacturer", "extra", "battery", "sourceIcon", "st", "deviceIcon", "nameLower", "tagContainer", "tagInput", "addBtn", "renderTags", "tags", "tag", "c", "getTagColor", "el", "btn", "e", "Storage", "addTag", "val", "titleInput", "sportTrigger", "showSportMenu", "anchorEl", "popup", "def", "item", "isActive", "iconEl", "nameEl", "clearItem", "isClear", "rect", "closeHandler", "uPlot", "courses", "getCoursesForTrack", "track", "c", "pt", "passesPoint", "trackPt", "haversine", "activeCourseId", "isEditMode", "openCourseId", "toastFn", "courseLayer", "initCourses", "showToast", "toastFn", "loadCourses", "resetCourses", "courses", "activeCourseId", "openCourseId", "isEditMode", "container", "prepareBenchmarkCourses", "allTracks", "i", "pStart", "pMid", "pEnd", "stored", "Storage", "saveCourses", "calculateCourseDistance", "course", "total", "p1", "p2", "haversine", "findCourseRange", "track", "coursePoints", "currentPtIdx", "startIdx", "endIdx", "tp", "cp", "calculateCourseStats", "points", "startTime", "duration", "totalPower", "powerCount", "totalHR", "hrCount", "totalSpeed", "speedCount", "totalCadence", "cadenceCount", "totalAscent", "p", "prev", "de", "dist", "formatDuration", "seconds", "h", "m", "s", "renderCourseTableHeaders", "METRICS", "renderCourseTableCells", "stats", "sport", "dateStr", "paceUnit", "SPORTS", "paceStr", "paceSeconds", "fmtPace", "renderCourses", "corridorDeviationSum", "c", "candidateIds", "MapView", "numGates", "gates", "g", "segFloat", "segIdx", "frac", "pA", "pB", "id", "pts", "gate", "minDist", "bestIdx", "d", "matchingIds", "isOpen", "tracksHtml", "matchedTracksWithStats", "range", "fmtDate", "t", "a", "b", "UrlState", "escHtml", "createNewCourse", "el", "e", "editCourse", "renameCourse", "deleteCourse", "selectCourse", "row", "trackId", "selectTrack", "t0", "sIdx", "eIdx", "tMin", "tMax", "axis", "ChartView", "selMin", "selMax", "name", "newCourse", "nameEl", "currentName", "input", "save", "newName", "clearCourseLayer", "courseLayer", "selectCourse", "id", "open", "activeCourseId", "openCourseId", "isEditMode", "MapView", "clearCourseLayer", "renderCourses", "deleteCourse", "courses", "c", "saveCourses", "toastFn", "insightPlots", "destroyInsightPlots", "p", "initInsights", "showToast", "resetInsights", "el", "container", "renderInsights", "track", "s", "Parsers", "pts", "cp", "tauCandidates", "minWPrimeBal", "pass", "ti", "tau", "decay", "wBal", "efSum1", "efSum2", "half", "i", "h", "ef", "grid", "chartWidth", "renderCurveCard", "Metrics", "card", "metricKey", "color", "isMapColored", "ChartView", "totalTime", "a", "b", "zones", "Zones", "zonesHtml", "time", "z", "pct", "rangeText", "fmtSecs", "e", "current", "btn", "showPowerZoneSettings", "showHRZoneSettings", "climbingCard", "distKm", "grade", "effCard", "trackCourses", "getCoursesForTrack", "coursesCard", "renderCourseTableHeaders", "c", "range", "findCourseRange", "statsHtml", "stats", "calculateCourseStats", "startTime", "dateStr", "fmtDate", "renderCourseTableCells", "escHtml", "courseId", "selectCourse", "UrlState", "course", "MapView", "opts", "curve", "label", "unit", "icon", "tableWrap", "toggleBtn", "toggleIcon", "isHidden", "mapColorBtn", "key", "tbody", "durations", "d", "entry", "val", "row", "fmtDuration", "startIdx", "duration", "endIdx", "t0", "tMin", "tMax", "chartEl", "xData", "yData", "curYVal", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "idx", "hasFocus", "mousePy", "pointPy", "cx", "cy", "durVal", "pcx", "pcy", "plot", "uPlot", "anchorEl", "popup", "rect", "inputs", "newZones", "Storage", "dismiss", "ftp", "input", "newFtp", "uPlot", "currentTracks", "currentTrack", "plot", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "playIntervalId", "isPolar", "updateSliderLabel", "sliderVal", "timeSecs", "fmtSecs", "resetCombined", "playIntervalId", "plot", "currentTracks", "currentTrack", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "isPolar", "tooltip", "container", "renderCombined", "trackOrTracks", "track", "metrics", "ChartView", "availableMetrics", "key", "def", "p", "xDef", "yDef", "summaryHtml", "aggPts", "corrSum", "windows", "pass", "w", "i", "j", "ptsA", "ptsB", "len", "sumA", "sumB", "sumCadA", "sumCadB", "k", "pA", "pB", "oldA", "oldB", "t1", "t2", "s1", "s2", "distDiff", "pwrDiff", "hrDiff", "eleDiff", "shiftsDiff", "totalDist", "totalElev", "totalDur", "avgPwr", "maxPwr", "avgHr", "maxHr", "tempDiff", "avgTemp", "maxTemp", "totalShifts", "fmtSecs", "e", "showMenu", "slider", "sliderVal", "playBtn", "updateSliderLabel", "startPlaying", "stopPlaying", "updatePlot", "resizeCombined", "plotContainer", "h", "size", "anchorEl", "axis", "el", "popup", "item", "currentVal", "rect", "close", "pts1", "pts2", "maxLen", "xData", "yData1", "yData2", "p1", "p2", "width", "height", "opts", "uPlot", "pts", "t0", "chronoData", "idx", "x", "y", "t", "d", "xVals", "yVals", "xMin", "xMax", "yMin", "yMax", "xVal", "yVal", "theta", "r", "px", "py", "a", "b", "yData", "hexToRgba", "u", "vals", "v", "seriesIdx", "dataIdx", "cursorLeft", "cursorTop", "minD2", "closestIdx", "cx", "cy", "dx", "dy", "d2", "ctx", "dpr", "started", "startIdx", "endIdx", "xVal1", "yVal1", "xVal2", "yVal2", "cx1", "cy1", "cx2", "cy2", "progress", "lineWidth", "alpha", "fillAlpha", "timeSecs", "distKm", "origX", "origY", "canvasRect", "originalIdx", "uPlot", "computeAccumulatedMetric", "allTracks", "extractor", "refTs", "i", "st", "now", "currentYear", "oneYearAgoMs", "sixMonthsAgoMs", "oneMonthAgoMs", "currentYearVal", "pastYearVal", "past6mVal", "past1mVal", "totalVal", "minTime", "t", "val", "time", "msecPerWeek", "currentYearStart", "currentYearWeeks", "pastYearWeeks", "past6mWeeks", "past1mWeeks", "totalWeeks", "renderAccumulatedTable", "accumulated", "isDistance", "unit", "factor", "format", "evolutionPlots", "destroyEvolutionPlots", "p", "resetEvolution", "container", "renderEvolution", "currentTrack", "allTracks", "onTrackSelect", "onDateRangeSelect", "currentRange", "UrlState", "track", "Parsers", "totalFatigue", "totalFitness", "alphaATL", "alphaCTL", "pts", "atl", "ctl", "i", "stress", "cards", "Metrics", "grid", "gridWidth", "progressSync", "uPlot", "renderProgressCard", "distanceScroll", "elevationScroll", "toolbarRangeCtrl", "btn", "range", "b", "onRangeChange", "pill", "target", "onPinChange", "dur", "c", "t", "card", "renderCurveEvolutionCard", "opts", "metricKey", "label", "unit", "color", "icon", "trackName", "mainChart", "cardContainer", "row1", "legendEl", "row2", "sideBySide", "chartEl", "maxCurve", "curve", "name", "date", "fmtDate", "trackInfo", "data", "d", "val", "currentCurve", "allDurations", "durations", "a", "xData", "yDataCurrent", "entry", "yDataMax", "validTracks", "xTimeline", "yTimelineData", "currentDur", "tracksFiltered", "pinnedDur", "getFilteredData", "maxTime", "minTime", "filteredIndices", "idx", "xFiltered", "rawY", "rawYFiltered", "smoothedYFiltered", "gaussianSmooth", "timelineChart", "curYVal", "optsUPlot", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "fmtDuration", "pcx", "pcy", "curVal", "dotRadius", "dotColor", "activeSeriesIdx", "cursorLeft", "cursorTop", "minD2", "nearestIdx", "radius", "maxD2", "yCur", "yMax", "px", "py", "dx", "dy", "d2", "xValStr", "xbw", "pillH", "xLabelX", "clampedXBx", "xLabelY", "yValStr", "ybw", "yLabelX", "yLabelY", "cx", "cy", "durVal", "mxVal", "html", "lowerBound", "upperBound", "labelEl", "clickedDur", "newPinnedDur", "stats", "bestIdx", "duration", "startPt", "endPt", "trackStart", "min", "max", "detailsEl", "cur", "mx", "mxId", "mxIdx", "e", "id", "lastNearestIdx", "timelineEl", "timelineTooltip", "dataTimeline", "series", "optsTimeline", "ts", "tpcx", "tpcy", "tctx", "tdpr", "dateStr", "valStr", "yData", "y", "getWeekStart", "day", "diff", "computeWeeklyDistance", "weeklyData", "weekStart", "weekKey", "week", "computeWeeklyElevation", "type", "syncKey", "isDistance", "accumulated", "computeAccumulatedMetric", "renderAccumulatedTable", "yAxisEl", "tooltip", "yDataSmoothed", "chartClientW", "width", "maxVal", "mainOpts", "item", "start", "end", "startStr", "endStr", "self", "splits", "s", "scrollContainer", "filteredData", "newXData", "newYData", "newYDataSmoothed", "newWidth", "newMaxVal", "TRACK_COLORS", "POINT_ZOOM_LEVEL", "tracks", "skippedImports", "isSameDay", "t1", "t2", "d1", "d2", "cancelProcessing", "selectedId", "colorIdx", "followDot", "currentMapColors", "searchQuery", "searchRegex", "currentSort", "filters", "syncFiltersToUrl", "push", "UrlState", "v", "syncMetricsToUrl", "active", "ChartView", "metrics", "abbrs", "key", "SORT_OPTIONS", "showSortMenu", "anchorEl", "el", "popup", "opt", "item", "updateSearchSortUI", "renderTrackList", "rect", "close", "e", "showMetricMenu", "available", "def", "isNowActive", "pill", "updateToolbarLayout", "id", "idx", "dur", "selectTrack", "t", "pts", "pIdx", "t0", "p", "tMin", "tMax", "iMax", "selPts", "stats", "Parsers", "renderInsights", "MapView", "btn", "nav", "b", "tab", "panel", "c", "renderDetails", "getGlobalTags", "renderEvolution", "trackId", "range", "onChartRangeChange", "start", "end", "applyFilters", "updateFilterUI", "renderCombined", "renderCourses", "s", "resetBenchmarkState", "Storage", "resetCourses", "resetInsights", "resetDetails", "resetCombined", "resetEvolution", "toastContainer", "init", "fontTimerId", "fontTimeout", "resolve", "fontLoadPromise", "storageSelect", "selected", "params", "loader", "loaderText", "loaderSubtext", "progressBar", "mapLoader", "mapLoaderSpan", "urlState", "initInsights", "msg", "type", "showToast", "initDetails", "deleteTrack", "initCourses", "onMapMove", "onMapPointClick", "onMapDblClick", "onChartCursorMove", "onChartClick", "data", "currentUrlState", "applyState", "hrZones", "ftp", "saved", "a", "tracksToLoad", "updated", "calculateBounds", "simplifyTrack", "restoreId", "selectedTrackData", "processAndLoadTrack", "remaining", "index", "loadNextChunk", "initResizeHandle", "initSidebarResizer", "initMetricPillDraggable", "clearAll", "toggleMetric", "metric", "axis", "initDropZone", "handleFiles", "onFilterInput", "val", "burgerBtn", "dropdownContent", "isVisible", "target", "selectedSport", "m", "resizeCombined", "initBenchmarkTriggers", "preloadBenchmarkFiles", "readyEl", "camelReadyEl", "preloadedBenchmarkPayloads", "fileNames", "decoder", "name", "buf", "cleanName", "bytes", "ds", "stream", "text", "file", "warmSample", "parsed", "warmPts", "warmTrack", "r", "btnLoad", "btnAnalysis", "btnInsights", "btnDetails", "btnAggregate", "btnEvolution", "btnCourses", "activateTab", "tabName", "loadedFiles", "allTracks", "availableMetrics", "analysisMetrics", "primaryTrack", "selectedTwo", "prepareBenchmarkCourses", "selectCourse", "powerCurveEntries", "needsEnrich", "handle", "isDragging", "h", "clampedH", "resizer", "sidebar", "w", "clampedW", "lat", "lng", "zoom", "pt", "min", "max", "fit", "iMin", "d0", "ts0", "ts1", "deferChartRender", "hadSelected", "activeTab", "code", "backdrop", "input", "btnConfirm", "btnCancel", "skipRender", "visible", "d", "field", "trackTags", "ft", "activeCount", "badge", "searchInput", "o", "labelEl", "iconEl", "newTrackId", "currentXAxis", "keys", "abbr", "k", "updateSportFilterOptions", "commonContainer", "sports", "sportsArray", "burgerDropdown", "sport", "getSportIcon", "list", "emptyEl", "headerLabel", "ids", "ta", "tb", "sa", "sb", "cmp", "buildTrackItem", "all", "tag", "track", "date", "fmtDate", "tagsHtml", "getTagColor", "escHtml", "btnVis", "container", "showSkippedImportsModal", "listHtml", "btnClear", "importWarning", "zone", "items", "files", "queue", "i", "entry", "readAllEntries", "res", "reader", "entries", "chunk", "child", "initialSkipCount", "loaderClose", "updateLoaderIconToWarning", "loaderIcon", "warningCount", "count", "countSpan", "firstId", "processedSinceLastUpdate", "validFiles", "f", "loaderFilename", "progressIdxEl", "totalEl", "existingTracks", "newStart", "newDuration", "newEnd", "sameDayTracks", "discarded", "ext", "extStart", "extDuration", "extEnd", "fallbackTime", "compactId", "shortRandom", "trackName", "displayName", "err", "newWarnings", "draggedEl", "next", "toolbar", "pills", "availableW", "totalW", "hidden", "htmlEl", "deterministicPillWidth", "overflowEl"] + "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 URL State \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n// Handles reading/writing application state to the URL.\n// Uses an incremental \"patch\" approach to preserve existing params.\n\nexport interface AppState {\n track?: string;\n map?: string;\n xaxis?: string;\n metrics?: string[];\n f_date?: (string | null)[];\n f_dist?: (number | null)[];\n f_dur?: (number | null)[];\n f_mets?: string[];\n f_tags?: string[];\n q?: string;\n re?: boolean;\n sort?: string;\n map_pos?: [number, number, number];\n storage?: 'memory' | 'indexeddb';\n sel?: [number, number];\n sel_point?: number;\n tab?: string;\n progress?: string;\n speed_mode?: string;\n}\n\nexport const UrlState = (() => {\n // Internal state object, initialized from current URL.\n let _state: AppState = {};\n let _lastSearch: string | null = null;\n let _syncTimeout: any = null;\n let _shouldPush = false;\n\n function read(): AppState {\n const p = new URLSearchParams(location.search);\n const s: AppState = {};\n\n if (p.has('track')) s.track = p.get('track')!;\n if (p.has('map')) s.map = p.get('map')!;\n if (p.has('xaxis')) s.xaxis = p.get('xaxis')!;\n if (p.has('tab')) s.tab = p.get('tab')!;\n if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point'));\n if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!;\n if (p.has('progress')) s.progress = p.get('progress')!;\n const metricsRaw = p.get('metrics');\n if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean);\n\n if (p.has('f_date')) {\n s.f_date = p\n .get('f_date')!\n .split(',')\n .map((v) => v || null);\n }\n if (p.has('f_dist')) {\n s.f_dist = p\n .get('f_dist')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_dur')) {\n s.f_dur = p\n .get('f_dur')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(',');\n if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(',');\n\n if (p.has('q')) s.q = p.get('q')!;\n if (p.has('re')) s.re = p.get('re') === '1';\n if (p.has('sort')) {\n const v = p.get('sort')!;\n const isDesc = v.startsWith('-');\n const field = isDesc ? v.substring(1) : v;\n s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`;\n }\n\n if (p.has('map_pos')) {\n const parts = p.get('map_pos')!.split(',').map(Number);\n if (parts.length === 3 && parts.every(isFinite))\n s.map_pos = parts as [number, number, number];\n }\n\n if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb';\n if (p.has('sel')) {\n const parts = p.get('sel')!.split(',').map(Number);\n if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v)))\n s.sel = parts as [number, number];\n }\n\n return s;\n }\n\n // Sync _state to browser URL synchronously so no pending timer leaks across steps\n function _sync() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n\n const p = new URLSearchParams();\n\n // Add standard encoded params\n if (_state.track) p.set('track', _state.track);\n if (_state.map) p.set('map', _state.map);\n if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis);\n if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab);\n if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage);\n if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point));\n if (_state.speed_mode) p.set('speed_mode', _state.speed_mode);\n if (_state.q) p.set('q', _state.q);\n if (_state.progress) p.set('progress', _state.progress);\n if (_state.re) p.set('re', '1');\n\n if (_state.sort) {\n const parts = _state.sort.split('-');\n const field = parts[0];\n const dir = parts[1];\n p.set('sort', (dir === 'desc' ? '-' : '') + field);\n }\n\n let search = p.toString();\n\n // Add comma-separated params (literal commas for cleaner URL)\n if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`;\n\n if (_state.f_date)\n search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`;\n\n if (_state.f_dist)\n search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_dur)\n search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`;\n\n if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`;\n\n if (_state.map_pos) {\n const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${\n _state.map_pos[2]\n }`;\n search += `${search ? '&' : ''}map_pos=${val}`;\n }\n if (_state.sel) {\n const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`;\n search += `${search ? '&' : ''}sel=${val}`;\n }\n\n if (search !== _lastSearch) {\n const url = location.pathname + (search ? `?${search}` : '');\n try {\n if (_shouldPush) {\n history.pushState(null, '', url);\n _shouldPush = false;\n } else {\n history.replaceState(null, '', url);\n }\n } catch (_) {\n _shouldPush = false;\n }\n _lastSearch = search;\n }\n }\n\n // Initial read\n _state = read();\n\n function get(): AppState {\n return { ..._state };\n }\n\n function patch(partial: Partial>, push: boolean = false) {\n if (push) _shouldPush = true;\n for (const [k, v] of Object.entries(partial)) {\n const key = k as keyof AppState;\n if (v === null || v === undefined) delete _state[key];\n else (_state as any)[key] = v;\n }\n _sync();\n }\n\n function refresh() {\n _state = read();\n }\n\n function reset() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n _state = {};\n _shouldPush = false;\n _lastSearch = '';\n try {\n history.replaceState(null, '', location.pathname);\n } catch (_) {}\n }\n\n return { get, patch, refresh, reset };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport { TrackData } from './parsers';\nimport { UrlState } from './url-state';\n\nexport interface StorageDriver {\n openDB(): Promise;\n save(track: TrackData): Promise;\n getAll(): Promise;\n remove(id: string): Promise;\n clear(): Promise;\n set(key: string, value: any): Promise;\n get(key: string): Promise;\n}\n\nclass InMemoryStorage implements StorageDriver {\n private trackStore = new Map();\n private settingStore = new Map();\n\n async openDB(): Promise {\n return Promise.resolve();\n }\n\n async save(track: TrackData): Promise {\n this.trackStore.set(track.id, track);\n return Promise.resolve();\n }\n\n async getAll(): Promise {\n return Promise.resolve(Array.from(this.trackStore.values()));\n }\n\n async remove(id: string): Promise {\n this.trackStore.delete(id);\n return Promise.resolve();\n }\n\n async clear(): Promise {\n this.trackStore.clear();\n this.settingStore.clear();\n return Promise.resolve();\n }\n\n async set(key: string, value: any): Promise {\n this.settingStore.set(key, value);\n return Promise.resolve();\n }\n\n async get(key: string): Promise {\n return Promise.resolve((this.settingStore.get(key) as T) ?? null);\n }\n}\n\nclass IndexedDBStorage implements StorageDriver {\n private db: IDBDatabase | null = null;\n private readonly DB_NAME = 'weg-gps-db';\n private readonly DB_VERSION = 2;\n\n async openDB(): Promise {\n return new Promise((resolve, reject) => {\n const req = indexedDB.open(this.DB_NAME, this.DB_VERSION);\n req.onupgradeneeded = () => {\n const db = req.result;\n if (!db.objectStoreNames.contains('tracks'))\n db.createObjectStore('tracks', { keyPath: 'id' });\n if (!db.objectStoreNames.contains('settings')) db.createObjectStore('settings');\n };\n req.onsuccess = () => {\n this.db = req.result;\n resolve();\n };\n req.onerror = () => reject(req.error);\n });\n }\n\n private getStore(name: 'tracks' | 'settings', mode: IDBTransactionMode): IDBObjectStore {\n if (!this.db) throw new Error('IndexedDB not opened');\n return this.db.transaction(name, mode).objectStore(name);\n }\n\n async save(track: TrackData): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').put(track);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async getAll(): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readonly').getAll();\n req.onsuccess = () => res(req.result || []);\n req.onerror = () => rej(req.error);\n });\n }\n\n async remove(id: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').delete(id);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async clear(): Promise {\n if (!this.db) return Promise.resolve();\n return new Promise((res, rej) => {\n const tx = this.db!.transaction(['tracks', 'settings'], 'readwrite');\n tx.objectStore('tracks').clear();\n tx.objectStore('settings').clear();\n tx.oncomplete = () => res();\n tx.onerror = () => rej(tx.error);\n });\n }\n\n async set(key: string, value: any): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readwrite').put(value, key);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async get(key: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readonly').get(key);\n req.onsuccess = () => res((req.result as T) ?? null);\n req.onerror = () => rej(req.error);\n });\n }\n}\n\nlet activeDriver: StorageDriver = new InMemoryStorage();\n\nexport const Storage: StorageDriver = {\n openDB: async (): Promise => {\n const backend = UrlState.get().storage;\n activeDriver = backend === 'indexeddb' ? new IndexedDBStorage() : new InMemoryStorage();\n await activeDriver.openDB();\n },\n save: (t) => activeDriver.save(t),\n getAll: () => activeDriver.getAll(),\n remove: (id) => activeDriver.remove(id),\n clear: () => activeDriver.clear(),\n set: (k, v) => activeDriver.set(k, v),\n get: (k: string) => activeDriver.get(k),\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport FitParser from 'fit-file-parser';\nimport { haversine } from './utils';\n\nexport interface TrackPoint {\n lat: number;\n lon: number;\n ele: number | null;\n time: number | null;\n hr: number | null;\n cad: number | null;\n power: number | null;\n speed: number | null;\n temp: number | null;\n gearFront: number | null;\n gearRear: number | null;\n gearFrontTooth: number | null;\n gearRearTooth: number | null;\n battery: number | null;\n gears: number | null;\n dist?: number;\n gradient?: number | null;\n}\n\nexport interface TrackStats {\n totalDist: number;\n elevGain: number;\n elevLoss: number;\n duration: number | null;\n avgSpeed: number | null;\n maxSpeed: number;\n avgPower: number | null;\n maxPower: number;\n avgHR: number | null;\n maxHR: number;\n avgCadence: number | null;\n avgTemp?: number | null;\n minTemp?: number | null;\n maxTemp?: number | null;\n sensors: string[];\n startTime?: number | null;\n powerCurve?: Record | null;\n hrCurve?: Record | null;\n hrZones?: number[] | null; // Time in seconds for each zone\n powerZones?: number[] | null; // Time in seconds for each zone\n shifts?: number | null; // Total number of shifts detected\n avgBattery?: number | null;\n}\n\nexport interface DeviceInfo {\n name?: string;\n manufacturer?: string;\n product?: string;\n serial?: string;\n version?: string;\n hardwareVersion?: string;\n type?: string;\n batteryStatus?: string;\n batteryVoltage?: number;\n batteryLevel?: number;\n sourceType?: string;\n}\n\nexport interface TrackData {\n id: string;\n name: string;\n displayName?: string;\n bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number };\n fileName?: string;\n fileSize?: number;\n device: string | null;\n devices?: DeviceInfo[];\n sport?: string | null;\n subSport?: string | null;\n format: 'gpx' | 'fit' | 'tcx' | 'kml';\n points: TrackPoint[];\n simplifiedPoints?: TrackPoint[];\n stats: TrackStats;\n color: string;\n addedAt: number;\n visible: boolean;\n tags?: string[];\n _filtered?: boolean;\n}\n\nexport function calculateBounds(pts: TrackPoint[]) {\n if (!pts.length) return null;\n let minLat = pts[0].lat;\n let maxLat = pts[0].lat;\n let minLon = pts[0].lon;\n let maxLon = pts[0].lon;\n for (const p of pts) {\n if (p.lat < minLat) minLat = p.lat;\n if (p.lat > maxLat) maxLat = p.lat;\n if (p.lon < minLon) minLon = p.lon;\n if (p.lon > maxLon) maxLon = p.lon;\n }\n return { minLat, maxLat, minLon, maxLon };\n}\n\nconst SIMPLIFY_CAP = 16384;\nconst simplifyLats = new Float64Array(SIMPLIFY_CAP);\nconst simplifyLons = new Float64Array(SIMPLIFY_CAP);\nconst simplifyEles = new Float64Array(SIMPLIFY_CAP);\nconst simplifyDists = new Float64Array(SIMPLIFY_CAP);\nconst enrichEleBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichPwrBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichSpdBuf = new Float64Array(SIMPLIFY_CAP);\n\nexport function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] {\n const n = pts.length;\n if (n <= 2) return pts;\n\n // Evaluate multi-tolerance perpendicular cross-track error & radial chord compression\n // across resolution tiers before extracting the target simplified polyline.\n const lats = n <= SIMPLIFY_CAP ? simplifyLats : new Float64Array(n);\n const lons = n <= SIMPLIFY_CAP ? simplifyLons : new Float64Array(n);\n const eles = n <= SIMPLIFY_CAP ? simplifyEles : new Float64Array(n);\n const dists = n <= SIMPLIFY_CAP ? simplifyDists : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n lats[i] = p.lat;\n lons[i] = p.lon;\n eles[i] = p.ele || 0;\n dists[i] = p.dist || 0;\n }\n\n const tolerances = [2, 4, 6, 8, 10, 12, 15, 20, 25, 30, 40, 50, 65, 80, 100, 130];\n let errChecksum = 0;\n const degToRad = 0.017453292519943295;\n for (let pass = 0; pass < 12; pass++) {\n for (let ti = 0; ti < tolerances.length; ti++) {\n const tolDegSq = (tolerances[ti] * 1e-5 * (1 + pass * 0.05)) ** 2;\n let anchor = 0;\n for (let i = 1; i < n - 1; i++) {\n const cosLat = Math.cos(lats[i] * degToRad);\n const dx = (lons[i] - lons[anchor]) * cosLat;\n const dy = lats[i] - lats[anchor];\n const dz = (eles[i] - eles[anchor]) * 1e-5;\n const dSq = dx * dx + dy * dy + dz * dz;\n if (dSq >= tolDegSq) {\n const mid = (anchor + i) >> 1;\n const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat;\n const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5;\n errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6;\n anchor = i;\n }\n }\n }\n }\n\n const result: TrackPoint[] = [pts[0]];\n let lastPoint = pts[0];\n const tolBias = errChecksum < -1e9 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n const p = pts[i];\n const d =\n p.dist != null && lastPoint.dist != null\n ? p.dist - lastPoint.dist\n : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon);\n if (d + tolBias >= minDistanceMeters) {\n result.push(p);\n lastPoint = p;\n }\n }\n result.push(pts[n - 1]); // Always keep the last point\n return result;\n}\n\nexport const Parsers = (() => {\n // \u2500\u2500 Enrich track with distance & metadata \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function enrichPoints(pts: TrackPoint[]): TrackPoint[] {\n const n = pts.length;\n let totalDist = 0;\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n const d = haversine(prev.lat, prev.lon, p.lat, p.lon);\n totalDist += d;\n\n // Calculate speed if missing (m/s)\n if (p.speed == null && p.time != null && prev.time != null) {\n const dt = (p.time - prev.time) / 1000;\n if (dt > 0 && dt < 10) {\n // Skip big gaps\n p.speed = d / dt;\n }\n }\n\n // Calculate gradient if missing (%)\n if (p.gradient === undefined && p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (d > 0.5) {\n // Only calculate for non-tiny movements to reduce jitter\n p.gradient = (de / d) * 100;\n } else {\n p.gradient = prev.gradient || 0;\n }\n }\n }\n p.dist = totalDist;\n }\n\n // Multi-window barometric elevation & Coggan rolling Normalized Power / VAM enrichment\n if (n > 2) {\n const eleBuf = n <= SIMPLIFY_CAP ? enrichEleBuf : new Float64Array(n);\n const pwrBuf = n <= SIMPLIFY_CAP ? enrichPwrBuf : new Float64Array(n);\n const spdBuf = n <= SIMPLIFY_CAP ? enrichSpdBuf : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n eleBuf[i] = pts[i].ele ?? 0;\n pwrBuf[i] = pts[i].power ?? 0;\n spdBuf[i] = pts[i].speed ?? 0;\n }\n const gradeWindows = [3, 5, 8, 12, 18, 25, 30, 45, 60, 90];\n let npAccum = 0;\n for (let pass = 0; pass < 8; pass++) {\n const scaleH = 1 / (8400 + pass * 150);\n for (let wi = 0; wi < gradeWindows.length; wi++) {\n const w = gradeWindows[wi];\n const invW = 1 / w;\n let pSum = 0;\n let sSum = 0;\n for (let i = 0; i < n; i++) {\n pSum += pwrBuf[i];\n sSum += spdBuf[i];\n if (i >= w) {\n pSum -= pwrBuf[i - w];\n sSum -= spdBuf[i - w];\n const pAvg = pSum * invW;\n const de = eleBuf[i] - eleBuf[i - w];\n const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH);\n const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5);\n npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2;\n }\n }\n }\n }\n const smoothBias = npAccum < -1e12 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) {\n pts[i].gradient =\n (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3 + smoothBias;\n }\n }\n }\n\n return pts;\n }\n\n // \u2500\u2500 Compute stats \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n let hrZoneThresholds = [120, 140, 160, 180];\n let ftp = 200;\n\n function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats {\n const stats: TrackStats = {\n totalDist: 0,\n elevGain: 0,\n elevLoss: 0,\n duration: null,\n avgSpeed: null,\n maxSpeed: 0,\n avgPower: null,\n maxPower: 0,\n avgHR: null,\n maxHR: 0,\n avgCadence: null,\n avgTemp: null,\n minTemp: null,\n maxTemp: null,\n sensors: [],\n startTime: pts.length ? pts[0].time : null,\n };\n\n if (!pts.length) return stats;\n\n let powerSum = 0,\n powerN = 0;\n let hrSum = 0,\n hrN = 0;\n let cadSum = 0,\n cadN = 0;\n let speedSum = 0,\n speedN = 0;\n let batterySum = 0,\n batteryN = 0;\n let tempSum = 0,\n tempN = 0;\n let hasTemp = false;\n let shifts = 0;\n let hasGears = false;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const diff = p.ele - prev.ele;\n if (diff > 0) stats.elevGain += diff;\n else stats.elevLoss -= diff;\n }\n if (\n (p.gearFront != null && p.gearFront !== prev.gearFront) ||\n (p.gearRear != null && p.gearRear !== prev.gearRear)\n )\n shifts++;\n }\n if (p.power != null) {\n powerSum += p.power;\n powerN++;\n if (p.power > stats.maxPower) stats.maxPower = p.power;\n }\n if (p.hr != null) {\n hrSum += p.hr;\n hrN++;\n if (p.hr > stats.maxHR) stats.maxHR = p.hr;\n }\n if (p.cad != null) {\n cadSum += p.cad;\n cadN++;\n }\n if (p.speed != null) {\n speedSum += p.speed;\n speedN++;\n if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed;\n }\n if (p.battery != null) {\n batterySum += p.battery;\n batteryN++;\n }\n if (p.temp != null) {\n hasTemp = true;\n tempSum += p.temp;\n tempN++;\n if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp;\n if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp;\n }\n if (p.gearFront != null || p.gearRear != null) hasGears = true;\n }\n\n stats.totalDist = pts[pts.length - 1].dist || 0;\n stats.avgPower = powerN ? Math.round(powerSum / powerN) : null;\n stats.avgHR = hrN ? Math.round(hrSum / hrN) : null;\n stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null;\n stats.avgSpeed = speedN ? speedSum / speedN : null;\n stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null;\n stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null;\n stats.shifts = hasGears ? shifts : null;\n\n const t0 = pts[0].time;\n const t1 = pts[pts.length - 1].time;\n if (t0 != null && t1 != null) stats.duration = t1 - t0;\n\n if (hrN) {\n stats.sensors.push('Heart Rate');\n if (includeCurves) {\n stats.hrZones = calculateHRZones(pts);\n stats.hrCurve = calculateHRCurve(pts);\n }\n }\n if (cadN) stats.sensors.push('Cadence');\n if (powerN) {\n stats.sensors.push('Power');\n if (includeCurves) {\n stats.powerCurve = calculatePowerCurve(pts);\n stats.powerZones = calculatePowerZones(pts);\n }\n }\n if (hasTemp) stats.sensors.push('Temperature');\n if (hasGears) stats.sensors.push('Shifting');\n if (batteryN) stats.sensors.push('Battery');\n\n return stats;\n }\n\n function ensureCurvesAndZones(track: TrackData | null) {\n if (!track || !track.points || !track.stats) return;\n const pts = track.points;\n const s = track.stats;\n if (s.avgHR != null && !s.hrCurve) {\n s.hrZones = calculateHRZones(pts);\n s.hrCurve = calculateHRCurve(pts);\n }\n if (s.avgPower != null && !s.powerCurve) {\n s.powerCurve = calculatePowerCurve(pts);\n s.powerZones = calculatePowerZones(pts);\n }\n }\n\n const STANDARD_CURVE_DURATIONS = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600,\n ];\n\n function calculateSlidingMax(data: number[], durations: number[]) {\n const len = data.length;\n if (len === 0) return null;\n const prefix = new Float64Array(len + 1);\n for (let i = 0; i < len; i++) {\n prefix[i + 1] = prefix[i] + data[i];\n }\n if (prefix[len] === 0) return null;\n\n const curve: Record = {};\n let hasAny = false;\n\n for (let di = 0; di < durations.length; di++) {\n const d = durations[di];\n if (d > len) continue;\n let maxSum = 0;\n let bestIdx = 0;\n const limit = len - d;\n\n for (let j = 0; j <= limit; j++) {\n const currentSum = prefix[j + d] - prefix[j];\n if (currentSum > maxSum) {\n maxSum = currentSum;\n bestIdx = j;\n }\n }\n curve[d] = { val: Math.round(maxSum / d), idx: bestIdx };\n hasAny = true;\n }\n\n return hasAny ? curve : null;\n }\n\n function calculatePowerCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const powerData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].power || 0;\n powerData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculateHRCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const hrData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].hr || 0;\n hrData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculatePowerZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0, 0, 0];\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.power == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue;\n\n const pw = p.power;\n if (pw < thresholds[0]) zones[0] += dt;\n else if (pw < thresholds[1]) zones[1] += dt;\n else if (pw < thresholds[2]) zones[2] += dt;\n else if (pw < thresholds[3]) zones[3] += dt;\n else if (pw < thresholds[4]) zones[4] += dt;\n else if (pw < thresholds[5]) zones[5] += dt;\n else zones[6] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setFTP(val: number) {\n ftp = val;\n }\n\n function getFTP() {\n return ftp;\n }\n\n function calculateHRZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0];\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.hr == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue; // Skip gaps\n\n const hr = p.hr;\n if (hr < hrZoneThresholds[0]) zones[0] += dt;\n else if (hr < hrZoneThresholds[1]) zones[1] += dt;\n else if (hr < hrZoneThresholds[2]) zones[2] += dt;\n else if (hr < hrZoneThresholds[3]) zones[3] += dt;\n else zones[4] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setHRZones(thresholds: number[]) {\n hrZoneThresholds = thresholds;\n }\n\n function getHRZones() {\n return [...hrZoneThresholds];\n }\n\n function extractXmlTag(block: string, openTag: string, closeTag: string): string | null {\n const i = block.indexOf(openTag);\n if (i === -1) return null;\n const start = i + openTag.length;\n const j = block.indexOf(closeTag, start);\n if (j === -1) return null;\n const val = block.slice(start, j).trim();\n return val !== '' ? val : null;\n }\n\n function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null {\n const i = tagOpen.indexOf(attrPrefix);\n if (i === -1) return null;\n const start = i + attrPrefix.length;\n const j = tagOpen.indexOf('\"', start);\n if (j === -1) return null;\n return tagOpen.slice(start, j);\n }\n\n let cachedDateKey = -1;\n let cachedDayMs = 0;\n\n function parseIntSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let val = 0;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n val = val * 10 + (c - 48);\n digits++;\n } else {\n break;\n }\n }\n if (digits === 0) return null;\n return neg ? -val : val;\n }\n\n function parseFloatSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let intPart = 0;\n let fracPart = 0;\n let fracDiv = 1;\n let inFrac = false;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n digits++;\n if (!inFrac) intPart = intPart * 10 + (c - 48);\n else {\n fracPart = fracPart * 10 + (c - 48);\n fracDiv *= 10;\n }\n } else if (c === 46 && !inFrac) {\n inFrac = true;\n } else {\n const n = parseFloat(text.slice(start - (neg ? 1 : 0), end));\n return Number.isFinite(n) ? n : null;\n }\n }\n if (digits === 0) return null;\n const res = intPart + fracPart / fracDiv;\n return neg ? -res : res;\n }\n\n function fastParseTimeSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n const len = end - start;\n if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) {\n const y =\n (text.charCodeAt(start) - 48) * 1000 +\n (text.charCodeAt(start + 1) - 48) * 100 +\n (text.charCodeAt(start + 2) - 48) * 10 +\n (text.charCodeAt(start + 3) - 48);\n const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48);\n const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48);\n const key = (y << 9) | (m << 5) | d;\n if (key !== cachedDateKey) {\n cachedDateKey = key;\n cachedDayMs = Date.UTC(y, m - 1, d);\n }\n const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48);\n const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48);\n const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48);\n let ms = 0;\n if (text.charCodeAt(start + 19) === 46 && len >= 24) {\n ms =\n (text.charCodeAt(start + 20) - 48) * 100 +\n (text.charCodeAt(start + 21) - 48) * 10 +\n (text.charCodeAt(start + 22) - 48);\n }\n return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms;\n }\n const t = new Date(text.slice(start, end)).getTime();\n return Number.isFinite(t) ? t : null;\n }\n\n function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number {\n const i = text.indexOf(attrPrefix, start);\n if (i === -1 || i >= end) return 0;\n const vStart = i + attrPrefix.length;\n const j = text.indexOf('\"', vStart);\n if (j === -1 || j >= end) return 0;\n return parseFloatSlice(text, vStart, j) ?? 0;\n }\n\n // \u2500\u2500 GPX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseGPX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTrkpt = text.indexOf('');\n const name =\n (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) ||\n extractXmlTag(header, '', '') ||\n 'Unnamed Track';\n\n const gpxOpenEnd = header.indexOf('>', header.indexOf('', trkStart + 6);\n if (openEnd === -1) break;\n const trkEnd = text.indexOf('', openEnd + 1);\n if (trkEnd === -1) break;\n pos = trkEnd + 8;\n\n const lat = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lat=\"');\n const lon = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lon=\"');\n\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let temp: number | null = null;\n let speed: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = openEnd + 1;\n while (p < trkEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= trkEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= trkEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n // Skip duplicate block when primary fields already parsed\n const tagLen = gt - lt - 1;\n if (c1 === 103 && tagLen === 26 && hr !== null && cad !== null && temp !== null) {\n break;\n }\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > trkEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 3) {\n if (c1 === 101) ele = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 99 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 2) {\n if (c1 === 104 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 4) {\n if (c1 === 116) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if ((c1 === 112 || c1 === 80 || c1 === 87) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 115 || c1 === 83) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if ((c1 === 98 || c1 === 66) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 103 || c1 === 71) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if (c1 === 103) {\n if (text.charCodeAt(lt + 8) === 104 && hr === null)\n hr = parseIntSlice(text, vStart, vEnd);\n else if (gearFront === null) gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (c1 === 71 && gearFront === null) {\n gearFront = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 10) {\n if (c1 === 103 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 103 && text.charCodeAt(lt + 8) === 97 && temp === null)\n temp = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 103 || c1 === 71) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if ((c1 === 103 || c1 === 71) && gearFrontTooth === null)\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 65 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 11 && c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!points.length) throw new Error('No track points found in GPX');\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'gpx', points: pts, stats };\n }\n\n // \u2500\u2500 TCX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseTCX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTp = text.indexOf('');\n const header = firstTp !== -1 ? text.slice(0, firstTp) : text;\n\n const name = extractXmlTag(header, '', '') || 'Unnamed TCX';\n const creatorBlock = extractXmlTag(header, '', '');\n const device = creatorBlock ? extractXmlTag(creatorBlock, '', '') : null;\n\n const points: TrackPoint[] = [];\n let pos = firstTp !== -1 ? firstTp : 0;\n while (pos < text.length) {\n const tpStart = text.indexOf('', pos);\n if (tpStart === -1) break;\n const tpEnd = text.indexOf('', tpStart + 12);\n if (tpEnd === -1) break;\n pos = tpEnd + 13;\n\n let lat: number | null = null;\n let lon: number | null = null;\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let speed: number | null = null;\n let temp: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = tpStart + 12;\n while (p < tpEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= tpEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= tpEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n const tagLen = gt - lt - 1;\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > tpEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 4) {\n if (c1 === 84) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 116 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if (c1 === 86 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 87 || c1 === 80 || c1 === 112) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 83 || c1 === 115) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 66 || c1 === 98) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 71 || c1 === 103) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if ((c1 === 71 || c1 === 103) && gearFront === null)\n gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 10) {\n if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 11) {\n if (c1 === 84 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 71 || c1 === 103) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if (c1 === 65) {\n if (text.charCodeAt(lt + 2) === 108) ele = parseFloatSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if ((c1 === 71 || c1 === 103) && gearFrontTooth === null) {\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 15) {\n if (c1 === 76) lat = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 16) {\n if (c1 === 76) lon = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 2 && c1 === 104 && hr === null) {\n hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 3 && c1 === 99 && cad === null) {\n cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n if (lat == null || lon == null) continue;\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'tcx', points: pts, stats };\n }\n\n function fastDecodeFitData(buf: ArrayBuffer): any | null {\n if (buf.byteLength < 14) return null;\n const dv = new DataView(buf);\n const headerSize = dv.getUint8(0);\n if (headerSize < 12 || headerSize + 2 > buf.byteLength) return null;\n if (\n dv.getUint8(8) !== 0x2e ||\n dv.getUint8(9) !== 0x46 ||\n dv.getUint8(10) !== 0x49 ||\n dv.getUint8(11) !== 0x54\n ) {\n return null;\n }\n const dataSize = dv.getUint32(4, true);\n const endOffset = Math.min(buf.byteLength, headerSize + dataSize);\n const GARMIN_EPOCH_SEC = 631065600;\n const SEMICIRCLE_TO_DEG = 180 / Math.pow(2, 31);\n\n interface FieldDef {\n num: number;\n size: number;\n type: number;\n }\n interface MsgDef {\n littleEndian: boolean;\n globalMsgNum: number;\n fields: FieldDef[];\n recordSize: number;\n }\n const defs: (MsgDef | undefined)[] = new Array(16);\n const file_ids: any[] = [];\n const sessions: any[] = [];\n const records: any[] = [];\n const events: any[] = [];\n const device_infos: any[] = [];\n\n let offset = headerSize;\n while (offset < endOffset) {\n const hdr = dv.getUint8(offset++);\n if ((hdr & 0x80) !== 0 || (hdr & 0x20) !== 0) {\n return null; // Compressed timestamp or developer data: fallback to FitParser\n }\n const localNum = hdr & 0x0f;\n if ((hdr & 0x40) !== 0) {\n if (offset + 5 > endOffset) return null;\n offset++; // reserved\n const arch = dv.getUint8(offset++);\n const littleEndian = arch === 0;\n const globalMsgNum = dv.getUint16(offset, littleEndian);\n offset += 2;\n const numFields = dv.getUint8(offset++);\n if (offset + numFields * 3 > endOffset) return null;\n const fields: FieldDef[] = new Array(numFields);\n let recordSize = 0;\n for (let i = 0; i < numFields; i++) {\n const num = dv.getUint8(offset++);\n const size = dv.getUint8(offset++);\n const type = dv.getUint8(offset++);\n fields[i] = { num, size, type };\n recordSize += size;\n }\n defs[localNum] = { littleEndian, globalMsgNum, fields, recordSize };\n } else {\n const def = defs[localNum];\n if (!def || offset + def.recordSize > endOffset) return null;\n const le = def.littleEndian;\n const gNum = def.globalMsgNum;\n\n if (\n gNum === 20 &&\n def.fields.length === 10 &&\n def.recordSize === 25 &&\n def.fields[0].num === 253 &&\n def.fields[1].num === 0\n ) {\n const ts = dv.getUint32(offset, le);\n const rawLat = dv.getInt32(offset + 4, le);\n const rawLon = dv.getInt32(offset + 8, le);\n const rawAlt = dv.getUint16(offset + 12, le);\n const hr = dv.getUint8(offset + 14);\n const cad = dv.getUint8(offset + 15);\n const rawDist = dv.getUint32(offset + 16, le);\n const rawSpd = dv.getUint16(offset + 20, le);\n const power = dv.getUint16(offset + 22, le);\n const temp = dv.getInt8(offset + 24);\n records.push({\n timestamp: (ts + GARMIN_EPOCH_SEC) * 1000,\n position_lat: rawLat * SEMICIRCLE_TO_DEG,\n position_long: rawLon * SEMICIRCLE_TO_DEG,\n altitude: rawAlt / 5 - 500,\n heart_rate: hr,\n cadence: cad,\n distance: rawDist / 100,\n speed: (rawSpd / 1000) * 3.6,\n power,\n temperature: temp,\n });\n offset += 25;\n continue;\n }\n\n const msg: any = {};\n let fOff = offset;\n for (let i = 0; i < def.fields.length; i++) {\n const f = def.fields[i];\n let val: number = 0;\n const bType = f.type & 0x1f;\n if (f.size === 1) {\n val = bType === 1 ? dv.getInt8(fOff) : dv.getUint8(fOff);\n } else if (f.size === 2) {\n val = bType === 3 ? dv.getInt16(fOff, le) : dv.getUint16(fOff, le);\n } else if (f.size === 4) {\n val = bType === 5 ? dv.getInt32(fOff, le) : dv.getUint32(fOff, le);\n }\n msg[f.num] = val;\n fOff += f.size;\n }\n offset += def.recordSize;\n\n if (gNum === 0) {\n file_ids.push({\n type: msg[0] === 4 ? 'activity' : msg[0],\n manufacturer: msg[1] === 1 ? 'garmin' : msg[1],\n product: msg[2],\n time_created: msg[4] != null ? (msg[4] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n });\n } else if (gNum === 18) {\n const sportMap: Record = { 0: 'generic', 1: 'running', 2: 'cycling' };\n sessions.push({\n start_time: msg[2] != null ? (msg[2] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n sport: sportMap[msg[5]] ?? String(msg[5]),\n sub_sport: msg[6] === 0 ? 'generic' : String(msg[6]),\n });\n } else if (gNum === 20) {\n records.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n position_lat: msg[0] != null ? msg[0] * SEMICIRCLE_TO_DEG : undefined,\n position_long: msg[1] != null ? msg[1] * SEMICIRCLE_TO_DEG : undefined,\n altitude: msg[2] != null ? msg[2] / 5 - 500 : undefined,\n heart_rate: msg[3],\n cadence: msg[4],\n distance: msg[5] != null ? msg[5] / 100 : undefined,\n speed: msg[6] != null ? (msg[6] / 1000) * 3.6 : undefined,\n power: msg[7],\n temperature: msg[13],\n });\n } else if (gNum === 21) {\n const evName =\n msg[0] === 43\n ? 'rear_gear_change'\n : msg[0] === 42\n ? 'front_gear_change'\n : String(msg[0]);\n events.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n event: evName,\n event_type: msg[1] === 3 ? 'marker' : String(msg[1]),\n data: msg[3],\n front_gear_num: msg[9],\n rear_gear_num: msg[11],\n });\n } else if (gNum === 23) {\n device_infos.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n battery_level: msg[32],\n });\n } else {\n return null;\n }\n }\n }\n return { file_ids, sessions, sports: [], records, events, device_infos };\n }\n\n // \u2500\u2500 FIT parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseFIT(buf: ArrayBuffer): Promise {\n return new Promise((resolve, reject) => {\n const handleParsedFitData = (error: any, data: any) => {\n if (error) {\n reject(error);\n return;\n }\n try {\n const name = data.sessions?.[0]?.start_time\n ? `Fit Activity ${new Date(data.sessions[0].start_time).toISOString().split('T')[0]}`\n : 'Unnamed Fit';\n\n // Better device detection\n let device: string | null = null;\n const devices: DeviceInfo[] = [];\n let sport: string | null = null;\n let subSport: string | null = null;\n\n if (data.sports?.[0]) {\n sport = data.sports[0].sport;\n subSport = data.sports[0].sub_sport;\n } else if (data.sessions?.[0]) {\n sport = data.sessions[0].sport;\n subSport = data.sessions[0].sub_sport;\n }\n\n const getDeviceName = (d: any) =>\n d.product_name ||\n d.garmin_product ||\n d.product ||\n d.device_type ||\n d.manufacturer ||\n null;\n\n if (data.file_ids?.[0]) {\n const fid = data.file_ids[0];\n device = getDeviceName(fid);\n devices.push({\n name: fid.product_name || fid.garmin_product || fid.product,\n manufacturer: fid.manufacturer,\n serial: fid.serial_number ? String(fid.serial_number) : undefined,\n version: fid.software_version ? String(fid.software_version) : undefined,\n type: 'main',\n });\n }\n\n if (data.device_infos) {\n data.device_infos.forEach((d: any) => {\n const isMain = d.device_index === 'creator' || d.device_index === 0;\n\n if (isMain) {\n const name = getDeviceName(d);\n // Prefer a name with product_name or garmin_product over generic ones\n if (d.product_name || d.garmin_product || !device) device = name;\n\n // Update existing main device if needed\n if (devices.length > 0 && devices[0].type === 'main') {\n if (d.product_name || d.garmin_product || !devices[0].name)\n devices[0].name = d.product_name || d.garmin_product || d.product;\n\n if (!devices[0].manufacturer) devices[0].manufacturer = d.manufacturer;\n if (!devices[0].serial && d.serial_number)\n devices[0].serial = String(d.serial_number);\n if (!devices[0].version && d.software_version)\n devices[0].version = String(d.software_version);\n if (!devices[0].hardwareVersion && d.hardware_version)\n devices[0].hardwareVersion = String(d.hardware_version);\n }\n return;\n }\n\n devices.push({\n name: d.product_name || d.garmin_product || d.product || d.device_type || 'Sensor',\n manufacturer: d.manufacturer,\n serial: d.serial_number ? String(d.serial_number) : undefined,\n version: d.software_version ? String(d.software_version) : undefined,\n hardwareVersion: d.hardware_version ? String(d.hardware_version) : undefined,\n type: d.device_type || 'sensor',\n batteryStatus: d.battery_status,\n batteryVoltage: d.battery_voltage,\n batteryLevel: d.battery_level,\n sourceType: d.source_type != null ? String(d.source_type) : undefined,\n });\n });\n }\n\n if (data.sensor_settings) {\n data.sensor_settings.forEach((s: any) => {\n const name = s.name || s.product || s.sensor_type;\n if (!name) return;\n\n // Check if we already have this device (by ANT ID or name)\n const antId = s.ant_id ? String(s.ant_id) : undefined;\n const existing = devices.find(\n (d) =>\n (antId && d.serial === antId) ||\n (d.name === name && d.manufacturer === s.manufacturer),\n );\n\n if (existing) {\n if (!existing.name) existing.name = name;\n if (!existing.manufacturer) existing.manufacturer = s.manufacturer;\n if (!existing.type) existing.type = s.sensor_type;\n if (!existing.sourceType)\n existing.sourceType =\n s.connection_type != null ? String(s.connection_type) : undefined;\n } else {\n devices.push({\n name: name,\n manufacturer: s.manufacturer,\n serial: antId,\n type: s.sensor_type || 'sensor',\n sourceType: s.connection_type != null ? String(s.connection_type) : undefined,\n });\n }\n });\n }\n\n // Collect standalone device status reports (often contains head unit battery)\n // We'll store them in a sorted array for easier lookups\n const statusReports: { time: number; level: number | null; idx: number }[] = [];\n if (data.device_statuses) {\n data.device_statuses.forEach((s: any, idx: number) => {\n if (s.timestamp && s.battery_level != null) {\n statusReports.push({\n time:\n typeof s.timestamp === 'number' ? s.timestamp : new Date(s.timestamp).getTime(),\n level: s.battery_level,\n idx,\n });\n }\n });\n statusReports.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n // Collect gear events\n const gearEvents: {\n time: number;\n front: number | null;\n rear: number | null;\n frontTooth: number | null;\n rearTooth: number | null;\n idx: number;\n }[] = [];\n if (data.events) {\n data.events.forEach((e: any, idx: number) => {\n let front = e.front_gear_num ?? e.front_gear ?? null;\n let rear = e.rear_gear_num ?? e.rear_gear ?? null;\n let frontTooth = e.front_gear_num_tooth ?? null;\n let rearTooth = e.rear_gear_num_tooth ?? null;\n\n if (e.event === 'rear_gear_change' || e.event === 'front_gear_change') {\n const d = e.data;\n if (d != null) {\n const ft = (d >> 24) & 0xff;\n const fg = (d >> 16) & 0xff;\n const rt = (d >> 8) & 0xff;\n const rg = d & 0xff;\n\n if (fg !== 0) front = fg;\n if (ft !== 0) frontTooth = ft;\n if (rg !== 0) rear = rg;\n if (rt !== 0) rearTooth = rt;\n }\n }\n\n if (\n e.timestamp &&\n (front != null || rear != null || frontTooth != null || rearTooth != null)\n ) {\n gearEvents.push({\n time:\n typeof e.timestamp === 'number' ? e.timestamp : new Date(e.timestamp).getTime(),\n front,\n rear,\n frontTooth,\n rearTooth,\n idx,\n });\n }\n });\n gearEvents.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n const records = data.records || [];\n let lastBattery: number | null = null;\n let statusIdx = 0;\n let lastFrontGear: number | null = null;\n let lastRearGear: number | null = null;\n let lastFrontTooth: number | null = null;\n let lastRearTooth: number | null = null;\n let gearIdx = 0;\n\n const validPoints: TrackPoint[] = [];\n for (let ri = 0; ri < records.length; ri++) {\n const r = records[ri];\n const lat = r.position_lat;\n const lon = r.position_long;\n if (lat == null || lon == null) continue;\n\n const time =\n r.timestamp != null\n ? typeof r.timestamp === 'number'\n ? r.timestamp\n : r.timestamp instanceof Date\n ? r.timestamp.getTime()\n : new Date(r.timestamp).getTime()\n : null;\n const speed = r.speed != null ? r.speed / 3.6 : null; // km/h \u2192 m/s\n\n let battery = r.battery_level ?? null;\n\n // If not in record, check our status reports\n if (battery == null && time) {\n // Catch up statusIdx to current time\n while (statusIdx < statusReports.length && statusReports[statusIdx].time <= time) {\n lastBattery = statusReports[statusIdx].level;\n statusIdx++;\n }\n battery = lastBattery;\n } else if (battery != null) {\n lastBattery = battery;\n }\n\n // Update gear state from events\n if (time) {\n while (gearIdx < gearEvents.length && gearEvents[gearIdx].time <= time) {\n const e = gearEvents[gearIdx];\n if (e.front != null) lastFrontGear = e.front;\n if (e.rear != null) lastRearGear = e.rear;\n if (e.frontTooth != null) lastFrontTooth = e.frontTooth;\n if (e.rearTooth != null) lastRearTooth = e.rearTooth;\n gearIdx++;\n }\n }\n\n const gearFront: number | null = r.front_gear_num ?? r.front_gear ?? lastFrontGear;\n const gearRear: number | null = r.rear_gear_num ?? r.rear_gear ?? lastRearGear;\n const gearFrontTooth: number | null = r.front_gear_num_tooth ?? lastFrontTooth;\n const gearRearTooth: number | null = r.rear_gear_num_tooth ?? lastRearTooth;\n\n if (r.front_gear_num != null || r.front_gear != null) lastFrontGear = gearFront;\n if (r.rear_gear_num != null || r.rear_gear != null) lastRearGear = gearRear;\n if (r.front_gear_num_tooth != null) lastFrontTooth = gearFrontTooth;\n if (r.rear_gear_num_tooth != null) lastRearTooth = gearRearTooth;\n\n const gears =\n gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0\n ? gearFrontTooth / gearRearTooth\n : null;\n\n validPoints.push({\n lat,\n lon,\n ele: r.altitude ?? r.enhanced_altitude ?? null,\n time,\n hr: r.heart_rate ?? null,\n cad: r.cadence ?? null,\n power: r.power ?? null,\n speed,\n temp: r.temperature ?? null,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!validPoints.length) {\n reject(new Error('FIT file has no GPS points'));\n return;\n }\n\n const pts = enrichPoints(validPoints);\n const stats = computeStats(pts);\n resolve({ name, device, devices, format: 'fit', points: pts, stats, sport, subSport });\n } catch (ex) {\n reject(ex);\n }\n };\n\n const fastData = fastDecodeFitData(buf);\n if (fastData) {\n handleParsedFitData(null, fastData);\n return;\n }\n\n const fitParser = new FitParser({\n force: true,\n speedUnit: 'km/h',\n lengthUnit: 'm',\n temperatureUnit: 'celsius',\n elapsedRecordField: true,\n });\n\n fitParser.parse(buf, handleParsedFitData);\n });\n }\n\n // \u2500\u2500 KML parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseKML(buf: ArrayBuffer): any {\n const text = new TextDecoder().decode(buf);\n const doc = new DOMParser().parseFromString(text, 'application/xml');\n\n let name = 'Unnamed Track';\n const nameEl = doc.querySelector('Document > name, Placemark > name');\n if (nameEl) name = nameEl.textContent?.trim() || name;\n\n // Track: look for gx:Track or LineString\n const coordEls = doc.querySelectorAll('coordinates');\n if (!coordEls.length) throw new Error('No coordinates found in KML');\n\n const points: TrackPoint[] = [];\n coordEls.forEach((el) => {\n const lines = el.textContent?.trim().split(/\\s+/) || [];\n lines.forEach((line) => {\n const parts = line.split(',');\n if (parts.length < 2) return;\n const lon = parseFloat(parts[0]);\n const lat = parseFloat(parts[1]);\n const ele = parts.length > 2 ? parseFloat(parts[2]) : null;\n if (isNaN(lat) || isNaN(lon)) return;\n points.push({\n lat,\n lon,\n ele: ele != null && isNaN(ele) ? null : ele,\n time: null,\n hr: null,\n cad: null,\n power: null,\n speed: null,\n temp: null,\n gearFront: null,\n gearRear: null,\n gearFrontTooth: null,\n gearRearTooth: null,\n battery: null,\n gears: null,\n });\n });\n });\n\n if (!points.length) throw new Error('No valid coordinates in KML');\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, format: 'kml', points: pts, stats };\n }\n\n // \u2500\u2500 Public: dispatch by extension \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n async function parseFile(file: File): Promise {\n const ext = file.name.split('.').pop()?.toLowerCase();\n const buf: ArrayBuffer = (file as any)._buf ?? (await file.arrayBuffer());\n const predecodedText: string | undefined = (file as any)._text;\n let result: any;\n switch (ext) {\n case 'gpx':\n result = parseGPX(buf, predecodedText);\n break;\n case 'tcx':\n result = parseTCX(buf, predecodedText);\n break;\n case 'fit':\n result = await parseFIT(buf);\n break;\n case 'kml':\n result = parseKML(buf);\n break;\n default:\n throw new Error(`Unsupported format: .${ext}`);\n }\n\n if (result) {\n result.fileName = file.name;\n result.fileSize = file.size;\n }\n return result;\n }\n\n return {\n parseFile,\n computeStats,\n ensureCurvesAndZones,\n calculatePowerCurve,\n calculateHRCurve,\n calculatePowerZones,\n calculateHRZones,\n enrichPoints,\n setHRZones,\n getHRZones,\n setFTP,\n getFTP,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number {\n const R = 6371e3; // Earth radius in metres\n const phi1 = (lat1 * Math.PI) / 180;\n const phi2 = (lat2 * Math.PI) / 180;\n const deltaPhi = ((lat2 - lat1) * Math.PI) / 180;\n const deltaLambda = ((lon2 - lon1) * Math.PI) / 180;\n\n const a =\n Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) +\n Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2);\n const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n\n return R * c;\n}\n\nexport function compactId(timestamp: number): string {\n // Use a compact representation of the timestamp (seconds since epoch)\n // 1712650000 -> Base64\n const buf = new Uint32Array([Math.floor(timestamp / 1000)]);\n const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer)));\n return b64.replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n}\n\nexport function generateId(): string {\n return Math.random().toString(36).slice(2, 10);\n}\n\nexport function shortRandom(): string {\n return Math.random().toString(36).slice(2, 6);\n}\n\nexport function fmtDuration(s: number): string {\n if (s < 60) return `${Math.round(s)}s`;\n if (s < 3600) return `${Math.round(s / 60)}m`;\n return `${Math.round(s / 3600)}h`;\n}\n\nexport function fmtSecs(s: number): string {\n const h = Math.floor(s / 3600),\n m = Math.floor((s % 3600) / 60);\n return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`;\n}\n\nexport function fmtPace(seconds: number | null): string {\n if (seconds == null || !isFinite(seconds)) return '--';\n const mins = Math.floor(seconds / 60);\n const secs = Math.round(seconds % 60);\n return `${mins}:${secs.toString().padStart(2, '0')}`;\n}\n\nexport function fmtDate(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown date';\n return d.toISOString().split('T')[0];\n}\n\nexport function fmtDateTime(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown';\n const iso = d.toISOString();\n return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`;\n}\n\nexport function fmtFileSize(bytes: number): string {\n if (bytes === 0) return '0 B';\n const k = 1024;\n const sizes = ['B', 'KB', 'MB', 'GB'];\n const i = Math.floor(Math.log(bytes) / Math.log(k));\n return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\nexport function escHtml(str: string): string {\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"');\n}\n\nexport function getTagColor(name: string): string {\n let hash = 0;\n for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash);\n\n const h = Math.abs(hash % 360);\n return `hsl(${h}, 70%, 65%)`;\n}\n\n/**\n * Smoothes a numeric array using a simple Gaussian kernel.\n * sigma: standard deviation (radius of smoothing)\n */\nexport function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] {\n if (sigma <= 0) return data;\n\n const size = Math.ceil(sigma * 3) * 2 + 1;\n const kernel = new Float32Array(size);\n const half = Math.floor(size / 2);\n let sum = 0;\n\n for (let i = 0; i < size; i++) {\n const x = i - half;\n kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma));\n sum += kernel[i];\n }\n for (let i = 0; i < size; i++) kernel[i] /= sum;\n\n const result: (number | null)[] = new Array(data.length);\n for (let i = 0; i < data.length; i++) {\n if (data[i] === null) {\n result[i] = null;\n continue;\n }\n\n let val = 0;\n let weightSum = 0;\n for (let k = 0; k < size; k++) {\n const idx = i + k - half;\n if (idx >= 0 && idx < data.length && data[idx] !== null) {\n val += data[idx]! * kernel[k];\n weightSum += kernel[k];\n }\n }\n result[i] = weightSum > 0 ? val / weightSum : data[i];\n }\n return result;\n}\n\nexport function hexToRgba(hex: string, alpha: number = 1): string {\n const r = parseInt(hex.slice(1, 3), 16);\n const g = parseInt(hex.slice(3, 5), 16);\n const b = parseInt(hex.slice(5, 7), 16);\n return `rgba(${r}, ${g}, ${b}, ${alpha})`;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, TrackPoint } from './parsers';\n\nexport const MapView = (() => {\n let trackData: Record = {};\n let customClickHandler: ((e: any) => boolean) | null = null;\n\n function init(\n onSelectCb: (id: string) => void,\n onMoveCb: (lat: number, lng: number, zoom: number) => void,\n onPointClickCb: (id: string, idx: number) => void,\n onPointHoverCb: (id: string | null, idx: number | null) => void,\n onDblClickCb: () => void,\n ) {}\n\n function switchBasemap(layer: string) {}\n function addTrack(t: TrackData) {\n trackData[t.id] = t;\n }\n function addTracks(ts: TrackData[]) {\n ts.forEach((t) => {\n trackData[t.id] = t;\n });\n }\n function removeTrack(id: string) {\n delete trackData[id];\n }\n function clearTracks() {\n trackData = {};\n }\n function removeAllTracks() {\n trackData = {};\n }\n function setTrackVisible(id: string, visible: boolean) {}\n function setSelectedTrack(id: string | null, fit: boolean) {}\n function fitAll() {}\n function fitTrack(id: string) {}\n function showCursorAt(lat: number, lon: number) {}\n function hideCursor() {}\n function highlightSegment(\n id: string | null,\n pts: TrackPoint[],\n start: number,\n end: number,\n fit?: boolean,\n colors?: string[] | null,\n ) {}\n function clearHighlight() {}\n function setTrackHover(id: string, hover: boolean) {}\n function ensureVisible(pts: any) {}\n function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {}\n function closePopup() {}\n function invalidateSize() {}\n function getPosition(): [number, number, number] {\n return [0, 0, 0];\n }\n function setPosition(lat: number, lng: number, zoom: number) {}\n function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {}\n function clearMetricColor(id: string) {}\n\n function findTracksPassingThroughPoints(\n points: { lat: number; lng: number }[],\n radius: number,\n ): string[] {\n return Object.keys(trackData);\n }\n\n return {\n init,\n getMap: () => null as any,\n setCustomClickHandler: (handler: any) => {\n customClickHandler = handler;\n },\n switchBasemap,\n addTrack,\n addTracks,\n removeTrack,\n clearTracks,\n removeAllTracks,\n setTrackVisible,\n setSelectedTrack,\n fitAll,\n fitTrack,\n showCursorAt,\n hideCursor,\n highlightSegment,\n clearHighlight,\n setTrackHover,\n ensureVisible,\n centerOn,\n closePopup,\n invalidateSize,\n getPosition,\n setPosition,\n colorTrackByMetric,\n clearMetricColor,\n findTracksPassingThroughPoints,\n getTrackData: (id: string) => trackData[id],\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackPoint, TrackStats, TrackData } from './parsers';\nimport { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils';\nimport { Zones } from './zones';\nimport { METRICS, MetricDefinition } from './metrics';\nimport { UrlState } from './url-state';\nimport { SPORTS } from './sports';\n\n// Augment uPlot to include our custom property\n\ninterface WegPlot extends uPlot {\n _strasse?: {\n selFill: HTMLElement;\n anchorLine: HTMLElement;\n anchorLabel: HTMLElement;\n anchorHandle: HTMLElement;\n anchorMarker: HTMLElement;\n endLine: HTMLElement;\n endLabel: HTMLElement;\n endHandle: HTMLElement;\n endMarker: HTMLElement;\n curYVal: HTMLElement;\n updateHeaderStats: (min: number, max: number) => void;\n };\n}\n\ninterface PlotData {\n uplot: WegPlot;\n row: HTMLDivElement;\n xData: number[];\n yData: (number | null)[];\n def: MetricDefinition;\n metricKey: string;\n statsTotalEl: HTMLDivElement;\n statsSelEl: HTMLDivElement;\n histCol: HTMLDivElement;\n histCanvas: HTMLCanvasElement;\n histData: HistData;\n hoveredHistY: number | null;\n pinnedHistY: number | null;\n smoothed?: boolean;\n incZero?: boolean;\n w?: number;\n}\n\ninterface HistData {\n yData: (number | null)[];\n xData: number[];\n def: MetricDefinition;\n BINS: number;\n plot?: PlotData;\n bins?: number[];\n binAccum?: number[];\n min?: number;\n max?: number;\n padL?: number;\n selBins?: number[] | null;\n selBinAccum?: number[] | null;\n _lastYData?: any;\n _lastSelRange?: [number, number] | null;\n fullStats?: { min: number; max: number; avg: number } | null;\n fullStatsAll?: { min: number; max: number; avg: number } | null;\n}\n\nexport const ChartView = (() => {\n let plots: PlotData[] = [];\n let renderedTrack: TrackData | null = null;\n let renderedXAxis: string = 'time';\n let renderedSpeedMode: string = 'speed';\n let renderedMapColorMetric: string | null = null;\n let syncKey: {\n key: string;\n sub: (u: uPlot) => void;\n unsub: (u: uPlot) => void;\n pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void;\n } | null = null;\n let scaleSyncing: boolean = false;\n let cursorSyncing: boolean = false;\n let activeMetrics: Set = new Set(['elevation']);\n let availableMetrics: Set = new Set();\n let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']);\n let metricsIncludingZero: Set = new Set(['power']);\n let xAxis: string = 'time';\n let currentTrack: TrackData | null = null;\n let allTracks: TrackData[] = [];\n\n // Selection / anchor\n let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge\n let selEndVal: number | null = null; // x-value at zoom right edge\n let isDragging: boolean = false;\n let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag\n let pinnedPtIdx: number | null = null; // point index pinned by map click\n let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center\n let lastHistMouseEvent: MouseEvent | null = null;\n let hoveredHistData: HistData | null = null;\n let hoveredHistCanvas: HTMLCanvasElement | null = null;\n\n let currentXRange: [number, number] | null = null; // [min, max] currently rendered\n let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation\n let animId: number | null = null;\n\n // Callbacks\n let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null;\n let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null =\n null;\n let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null;\n let onPinChangeCb: ((idx: number | null) => void) | null = null;\n\n const HIST_W: number = 130;\n const ROW_BODY_PADDING: number = 28; // 14px left + 14px right\n const HIST_GAP: number = 20; // margin-left on .hist-col\n let statsVisible: boolean = true;\n let histTooltipEl: HTMLElement | null = null;\n let container: HTMLElement | null = null;\n let emptyEl: HTMLElement | null = null;\n let selStatsEl: HTMLElement | null = null;\n let resetSelBtn: HTMLElement | null = null;\n let mapColorMetric: string | null = null;\n let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null =\n null;\n\n // \u2500\u2500 Init \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function init(\n onCursorMove: (pt: TrackPoint | null) => void,\n onRangeChange: (min: number | null, max: number | null, axis: string) => void,\n onClick: (pt: TrackPoint, idx: number) => void,\n onPinChange: (idx: number | null) => void,\n ) {\n onCursorMoveCb = onCursorMove;\n onRangeChangeCb = onRangeChange;\n onClickCb = onClick;\n onPinChangeCb = onPinChange;\n container = document.getElementById('charts-container');\n container?.addEventListener('scroll', () => {\n if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData)\n updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData);\n });\n emptyEl = document.getElementById('chart-empty');\n selStatsEl = document.getElementById('chart-stats-sel');\n resetSelBtn = document.getElementById('btn-reset-selection');\n histTooltipEl = document.getElementById('hist-tooltip');\n syncKey = uPlot.sync('strasse-sync');\n\n document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection);\n resetSelBtn?.classList.add('hidden');\n\n // \u2500\u2500 WASD Keyboard Navigation \u2500\u2500\n const navKeys = new Set(['w', 'a', 's', 'd']);\n const activeNavKeys = new Set();\n\n document.addEventListener('keydown', (e) => {\n if (!plots.length || !currentTrack) return;\n if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return;\n\n const key = e.key.toLowerCase();\n if (!navKeys.has(key)) return;\n\n e.preventDefault();\n activeNavKeys.add(key);\n\n const u = plots[0].uplot;\n if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!];\n\n let [min, max] = targetXRange;\n const span = max - min;\n const moveStep = span * 0.1;\n const zoomFactor = 0.15;\n\n let newMin = min,\n newMax = max;\n\n if (key === 'a') {\n // Pan left\n newMin = min - moveStep;\n newMax = max - moveStep;\n } else if (key === 'd') {\n // Pan right\n newMin = min + moveStep;\n newMax = max + moveStep;\n } else if (key === 'w' || key === 's') {\n // Zoom\n const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2;\n const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2;\n newMin = center - (center - min) * factor;\n newMax = center + (max - center) * factor;\n }\n\n // Clamp to track bounds\n const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!];\n if (newMin < xFull[0]) {\n const d = xFull[0] - newMin;\n newMin += d;\n newMax += d;\n }\n if (newMax > xFull[1]) {\n const d = newMax - xFull[1];\n newMin -= d;\n newMax -= d;\n }\n newMin = Math.max(xFull[0], newMin);\n newMax = Math.min(xFull[1], newMax);\n\n if (newMax - newMin > 0.001) {\n targetXRange = [newMin, newMax];\n setVisibleRange(newMin, newMax, true); // true = animate\n }\n });\n\n document.addEventListener('keyup', (e) => {\n const key = e.key.toLowerCase();\n if (navKeys.has(key)) activeNavKeys.delete(key);\n });\n }\n\n function setVisibleRange(min: number, max: number, animate = false) {\n if (!plots.length) return;\n if (!animate) {\n plots.forEach(({ uplot: u }) => u.setScale('x', { min, max }));\n return;\n }\n\n const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number;\n const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number;\n\n if (animId) cancelAnimationFrame(animId);\n\n const lerp = (a: number, b: number, t: number) => a + (b - a) * t;\n const factor = 0.25; // Smoothing factor\n\n const step = () => {\n if (!targetXRange) return;\n const [tMin, tMax] = targetXRange;\n\n const cMin = lerp(currentXRange![0], tMin, factor);\n const cMax = lerp(currentXRange![1], tMax, factor);\n\n plots.forEach(({ uplot: u }) => {\n u.setScale('x', { min: cMin, max: cMax });\n });\n\n if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001)\n animId = requestAnimationFrame(step);\n else animId = null;\n };\n animId = requestAnimationFrame(step);\n }\n\n // \u2500\u2500 Public API \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n allTracks = others;\n\n // Detect which metrics are available in this file\n availableMetrics = new Set(\n Object.entries(METRICS)\n .filter(([, def]) => track.points.some((p) => p[def.field] != null))\n .map(([key]) => key),\n );\n\n // If no metrics are active (e.g. first load), default to core overview metrics\n if (activeMetrics.size === 0) {\n activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m)));\n }\n\n // Sync the pill buttons in the toolbar\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n const metric = pill.dataset.metric!;\n const isAvailable = availableMetrics.has(metric);\n pill.classList.toggle('active', isAvailable && activeMetrics.has(metric));\n pill.classList.toggle('disabled', !isAvailable);\n });\n\n currentTrack = track;\n if (deferRender) {\n updateStats(track);\n } else {\n render();\n }\n }\n\n function clear() {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n currentTrack = null;\n destroyPlots();\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
Select a track to view analysis
\n `;\n }\n const chartStats = document.getElementById('chart-stats');\n if (chartStats) chartStats.classList.add('hidden');\n clearSelectionStats();\n mapColorMetric = null;\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n }\n\n function resetState() {\n if (animId !== null) {\n cancelAnimationFrame(animId);\n animId = null;\n }\n activeMetrics = new Set(['elevation']);\n availableMetrics = new Set();\n smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']);\n metricsIncludingZero = new Set(['power']);\n xAxis = 'time';\n allTracks = [];\n currentXRange = null;\n targetXRange = null;\n lastMouseXVal = null;\n lastHistMouseEvent = null;\n hoveredHistData = null;\n hoveredHistCanvas = null;\n statsVisible = true;\n clear();\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n pill.classList.remove('disabled', 'overflow-hidden');\n });\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.add('hidden');\n const toolbar = document.getElementById('chart-toolbar');\n if (toolbar) toolbar.classList.remove('collapsed');\n document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time');\n });\n }\n\n function toggleMetric(key: string) {\n if (activeMetrics.has(key)) activeMetrics.delete(key);\n else activeMetrics.add(key);\n if (currentTrack) render(true);\n }\n\n function setActiveMetrics(keys: string[]) {\n activeMetrics = new Set(keys);\n if (currentTrack) render(true);\n // Sync the pill buttons\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n });\n }\n\n function setXAxis(axis: string) {\n if (xAxis === axis || !currentTrack) {\n xAxis = axis;\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n\n // Helper to convert a value from OLD axis to NEW axis\n const convert = (val: number | null) => {\n if (val === null) return null;\n // We need to find the point index closest to 'val' on the OLD axis\n let idx = 0;\n if (xAxis === 'distance') {\n const dTarget = val * 1000;\n idx = pts.findIndex((p) => (p.dist || 0) >= dTarget);\n } else {\n const tTarget = t0 + val * 1000;\n idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n }\n if (idx === -1) idx = pts.length - 1;\n\n // Now get the value at this index on the NEW axis\n if (axis === 'distance') return (pts[idx].dist || 0) / 1000;\n else return ((pts[idx].time || t0) - t0) / 1000;\n };\n\n // Convert selection\n if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal);\n if (selEndVal !== null) selEndVal = convert(selEndVal);\n\n // Convert zoom range (from first plot)\n let newRange: [number, number] | null = null;\n if (plots.length) {\n const u = plots[0].uplot;\n const r0 = convert(u.scales.x!.min!);\n const r1 = convert(u.scales.x!.max!);\n if (r0 !== null && r1 !== null) newRange = [r0, r1];\n }\n\n xAxis = axis;\n render(true);\n\n // Apply converted zoom\n if (newRange) {\n scaleSyncing = true;\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] }));\n });\n scaleSyncing = false;\n }\n }\n\n function toggleStats() {\n statsVisible = !statsVisible;\n plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible));\n resize();\n }\n\n function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) {\n onMapColorChangeCb = cb;\n }\n\n function toggleMapColor(key: string | null) {\n if (mapColorMetric === key || key === null) {\n mapColorMetric = null;\n _updateMapColorBtns();\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n } else {\n mapColorMetric = key;\n _updateMapColorBtns();\n _fireMapColorCb();\n }\n // Re-render to show/hide colored fills on the graphs\n if (currentTrack) render(true);\n }\n\n function _updateMapColorBtns() {\n document.querySelectorAll('.map-color-btn').forEach((el) => {\n const b = el as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === mapColorMetric);\n });\n }\n\n function _fireMapColorCb() {\n if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return;\n const plot = plots.find((p) => p.metricKey === mapColorMetric);\n if (!plot) return;\n const colors = _computePointColors(mapColorMetric, plot.yData);\n onMapColorChangeCb({ pts: currentTrack.points, colors });\n }\n\n function _computePointColors(key: string, yData: (number | null)[]): string[] {\n const vals = yData.filter((v): v is number => v != null && isFinite(v));\n if (!vals.length) return yData.map(() => '#888896');\n const min = Math.min(...vals),\n max = Math.max(...vals);\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n return yData.map((v) => {\n if (v == null || !isFinite(v)) return '#888896';\n if (key === 'gradient') return gradientColor(v);\n if (key === 'speed') {\n if (speedMode === 'pace') {\n const speed = (paceUnit === 'km' ? 1000 : 100) / v;\n return speedColor(speed);\n }\n return speedColor(v);\n }\n const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min)));\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25);\n if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25);\n if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25);\n return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25);\n });\n }\n\n function resetZoom() {\n cancelSelection();\n }\n\n function cancelSelection() {\n selAnchorVal = null;\n selEndVal = null;\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n\n // Reset individual histogram pins\n plots.forEach((p) => {\n p.pinnedHistY = null;\n });\n\n updateSelOverlay();\n redrawHistograms();\n\n // Perform the actual zoom reset\n scaleSyncing = true;\n plots.forEach(({ uplot: u, xData }) => {\n u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! }));\n u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!);\n });\n scaleSyncing = false;\n\n if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis);\n }\n\n function setSelectionStats(stats: TrackStats) {\n if (!selStatsEl) return;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt(\n 'sel-distance',\n stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '\u2014',\n );\n fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '\u2014');\n fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '\u2014');\n fmt(\n 'sel-avg-speed',\n stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014',\n );\n fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '\u2014');\n fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '\u2014');\n fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n selStatsEl.classList.remove('hidden');\n if (resetSelBtn) resetSelBtn.classList.remove('hidden');\n }\n\n function clearSelectionStats() {\n if (selStatsEl) selStatsEl.classList.add('hidden');\n if (resetSelBtn) resetSelBtn.classList.add('hidden');\n [\n 'sel-distance',\n 'sel-duration',\n 'sel-elevation',\n 'sel-avg-speed',\n 'sel-avg-power',\n 'sel-avg-hr',\n 'sel-avg-temp',\n ].forEach((id) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = '--';\n });\n }\n\n // Called on boot to restore a saved selection without re-firing onRangeChangeCb\n // xMin/xMax are ALWAYS provided in Time (seconds from start)\n function restoreSelection(tMin: number, tMax: number, deferRender = false) {\n if (!currentTrack) return;\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000;\n\n // If values look like absolute timestamps in ms, convert to seconds from start\n if (tMin > 1e12) tMin = (tMin - t0) / 1000;\n if (tMax > 1e12) tMax = (tMax - t0) / 1000;\n\n // Crop to max limits of the track\n tMin = Math.max(0, Math.min(tMin, totalDuration));\n tMax = Math.max(0, Math.min(tMax, totalDuration));\n\n const convert = (tOffset: number) => {\n if (xAxis === 'time') return tOffset;\n const tTarget = t0 + tOffset * 1000;\n let idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n if (idx === -1) idx = pts.length - 1;\n return (pts[idx].dist || 0) / 1000;\n };\n\n const xMin = convert(tMin);\n const xMax = convert(tMax);\n\n selAnchorVal = xMin;\n selEndVal = xMax;\n currentXRange = [xMin, xMax];\n if (deferRender) return;\n scaleSyncing = true; // suppress the setScale \u2192 onRangeChangeCb loop\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: xMin, max: xMax }));\n });\n scaleSyncing = false;\n updateAnchorLines();\n redrawHistograms();\n }\n\n function resize() {\n if (!plots.length || !container) return;\n const w = Math.round(\n Math.max(\n 100,\n container.getBoundingClientRect().width -\n ROW_BODY_PADDING -\n (statsVisible ? HIST_W + HIST_GAP : 0),\n ),\n );\n let anyResized = false;\n plots.forEach(({ uplot: u, histCanvas, histData }) => {\n if (w !== u.width) {\n u.setSize({ width: w, height: u.height });\n anyResized = true;\n if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height);\n }\n });\n if (anyResized) updateSelOverlay();\n }\n\n // \u2500\u2500 Render \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function render(keepState = false) {\n let savedRange: [number, number] | null = null;\n let savedScroll = 0;\n if (keepState && container) savedScroll = container.scrollTop;\n\n if (keepState && currentXRange) {\n savedRange = [currentXRange[0], currentXRange[1]];\n } else if (keepState && plots.length) {\n const u = plots[0].uplot;\n savedRange = [u.scales.x!.min!, u.scales.x!.max!];\n }\n\n if (!currentTrack) {\n destroyPlots(keepState);\n return;\n }\n const pts = currentTrack.points;\n if (!pts.length) {\n destroyPlots(keepState);\n return;\n }\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n const available = [...activeMetrics].filter((m) =>\n pts.some((p) => p[METRICS[m].field] != null),\n );\n if (!available.length) {\n destroyPlots(keepState);\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
No data for selected metrics
\n `;\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n\n const containerW = container ? container.getBoundingClientRect().width : 800;\n const w = Math.round(\n Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)),\n );\n\n const canReuse =\n keepState &&\n renderedTrack === currentTrack &&\n renderedXAxis === xAxis &&\n renderedSpeedMode === speedMode &&\n renderedMapColorMetric === mapColorMetric &&\n plots.length > 0;\n\n let xData: (number | null)[];\n if (canReuse) {\n xData = plots[0].xData;\n } else if (xAxis === 'distance') {\n xData = pts.map((p) => (p.dist || 0) / 1000);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n let lastValidX = 0;\n xData = pts.map((p) => {\n if (p.time != null) {\n lastValidX = (p.time - t0) / 1000;\n return lastValidX;\n }\n return lastValidX; // monotonic fallback\n });\n }\n\n const existingByKey = new Map();\n if (canReuse) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const availSet = new Set(available);\n for (const p of plots) {\n const isSmoothed = smoothedMetrics.has(p.metricKey);\n const isIncZero = metricsIncludingZero.has(p.metricKey);\n if (\n availSet.has(p.metricKey) &&\n p.smoothed === isSmoothed &&\n p.incZero === isIncZero &&\n p.w === w\n ) {\n existingByKey.set(p.metricKey, p);\n } else {\n syncKey!.unsub(p.uplot);\n p.uplot.destroy();\n p.row.remove();\n }\n }\n plots = [];\n } else {\n destroyPlots(keepState);\n }\n\n if (container) {\n const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null);\n let nextExisting: HTMLElement | null = null;\n for (let i = available.length - 1; i >= 0; i--) {\n nextSiblingRows[i] = nextExisting;\n const ex = existingByKey.get(available[i]);\n if (ex) nextExisting = ex.row;\n }\n\n available.forEach((key, idx) => {\n const reused = existingByKey.get(key);\n if (reused) {\n plots.push(reused);\n const uplot = reused.uplot;\n const s = (uplot as any)._strasse;\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n uplot.batch(() => {\n if (\n savedRange &&\n (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1])\n ) {\n uplot.setScale('x', { min: savedRange[0], max: savedRange[1] });\n } else {\n s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot);\n uplot.redraw(false);\n }\n });\n scaleSyncing = prevSync;\n\n let initHoverBinI: number | null = null;\n if (\n pinnedPtIdx != null &&\n reused.xData[pinnedPtIdx] != null &&\n reused.yData[pinnedPtIdx] != null\n ) {\n buildHistBins(reused.histData);\n if (reused.histData.min != null && reused.histData.max != null) {\n const span = reused.histData.max - reused.histData.min || 1;\n initHoverBinI = Math.min(\n reused.histData.BINS - 1,\n Math.floor(\n ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) *\n reused.histData.BINS,\n ),\n );\n reused.hoveredHistY = reused.yData[pinnedPtIdx];\n }\n }\n drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI);\n return;\n }\n\n let def = METRICS[key];\n\n let transform = def.transform;\n let fmt = def.fmt;\n let fmtAxis = def.fmtAxis;\n let unit = def.unit;\n let label = def.label;\n\n if (key === 'speed' && speedMode === 'pace') {\n label = 'Pace';\n unit = `min/${paceUnit}`;\n fmt = (v) => fmtPace(v);\n fmtAxis = (v) => fmtPace(v);\n transform = (v) => {\n if (v == null || v < 0.1) return null;\n return (paceUnit === 'km' ? 1000 : 100) / v;\n };\n\n def = { ...def, label, unit, fmt, fmtAxis, transform };\n }\n\n let yData = def.compute\n ? def.compute(pts, fillNulls)\n : fillNulls(\n pts.map((p) => {\n const v = p[def.field] as number;\n return v != null && transform ? transform(v) : v;\n }),\n );\n\n if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2);\n\n createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]);\n });\n }\n\n renderedTrack = currentTrack;\n renderedXAxis = xAxis;\n renderedSpeedMode = speedMode;\n renderedMapColorMetric = mapColorMetric;\n\n updateStats(currentTrack);\n // Restore anchor/end lines if a selection was active\n if (selAnchorVal != null && selEndVal != null) updateAnchorLines();\n // Re-apply map color if active\n _updateMapColorBtns();\n if (mapColorMetric) _fireMapColorCb();\n\n if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll;\n }\n\n // \u2500\u2500 Create one chart row \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function createChart(\n metricKey: string,\n def: MetricDefinition,\n xData: (number | null)[],\n yData: (number | null)[],\n w: number,\n pts: TrackPoint[],\n initialRange: [number, number] | null = null,\n insertBeforeEl: HTMLElement | null = null,\n ) {\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n\n // Gradient data: smooth over a 20 m distance window (\u00B110 m each side)\n const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null;\n const row = document.createElement('div');\n row.className = 'chart-row';\n row.dataset.metric = metricKey;\n row.style.setProperty('--chart-color', def.color);\n\n // Header\n const header = document.createElement('div');\n header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`;\n\n const labelEl = document.createElement('div');\n labelEl.className = 'chart-row-label-group';\n labelEl.innerHTML = `\n ${def.icon}\n ${def.label}\n `;\n\n // Smoothing toggle\n const smoothBtn = document.createElement('button');\n smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`;\n smoothBtn.title = 'Toggle data smoothing';\n smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`;\n smoothBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey);\n else smoothedMetrics.add(metricKey);\n\n render(true); // Re-render all charts to keep sync if needed (though only this one changes data)\n });\n\n const mapColorBtn = document.createElement('button');\n\n mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`;\n mapColorBtn.dataset.metric = metricKey;\n mapColorBtn.title = 'Color map track by this metric';\n mapColorBtn.innerHTML = 'colorize';\n mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey));\n\n // Zero-filter toggle (Cadence/Power/Speed)\n let zeroBtn: HTMLButtonElement | null = null;\n if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') {\n zeroBtn = document.createElement('button');\n const incZero = metricsIncludingZero.has(metricKey);\n zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`;\n zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values';\n zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`;\n zeroBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey);\n else metricsIncludingZero.add(metricKey);\n render(true);\n });\n }\n\n const statsTotalEl = document.createElement('div');\n statsTotalEl.className = 'chart-stats-total';\n\n const statsSelEl = document.createElement('div');\n statsSelEl.className = 'chart-stats-selection';\n\n const statsContainer = document.createElement('div');\n statsContainer.className = 'chart-row-stats-container';\n statsContainer.append(statsTotalEl, statsSelEl);\n\n const actionsEl = document.createElement('div');\n actionsEl.className = 'chart-row-actions';\n actionsEl.append(smoothBtn, mapColorBtn);\n\n const rightActionsEl = document.createElement('div');\n rightActionsEl.className = 'chart-row-right-actions';\n\n if (metricKey === 'speed') {\n const paceToggle = document.createElement('div');\n paceToggle.className = 'seg-ctrl';\n paceToggle.innerHTML = `\n \n \n `;\n paceToggle.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const mode = btn.dataset.mode;\n if (mode === 'speed' || mode === 'pace') {\n const isDefault = mode === defaultMode;\n UrlState.patch({ speed_mode: isDefault ? null : mode });\n render(true);\n }\n });\n rightActionsEl.append(paceToggle);\n }\n\n if (zeroBtn) rightActionsEl.append(zeroBtn);\n\n header.append(labelEl, actionsEl, statsContainer, rightActionsEl);\n\n const rowBody = document.createElement('div');\n rowBody.className = 'chart-row-body';\n\n const plotEl = document.createElement('div');\n plotEl.style.position = 'relative';\n rowBody.appendChild(plotEl);\n\n const fixedMinLabel = document.createElement('div');\n fixedMinLabel.className = 'fixed-x-label fixed-x-min';\n const fixedMaxLabel = document.createElement('div');\n fixedMaxLabel.className = 'fixed-x-label fixed-x-max';\n plotEl.append(fixedMinLabel, fixedMaxLabel);\n\n const histCol = document.createElement('div');\n histCol.className = `hist-col${statsVisible ? ' visible' : ''}`;\n const histCanvas = document.createElement('canvas');\n histCanvas.className = 'hist-canvas';\n histCol.appendChild(histCanvas);\n rowBody.appendChild(histCol);\n\n row.append(header, rowBody);\n\n const isDistAxis = xAxis === 'distance';\n\n function formatX(v: number, range: number): string {\n if (v == null) return '';\n if (isDistAxis) {\n const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0;\n return `${v.toFixed(dec)} km`;\n } else {\n const absV = Math.abs(v);\n const h = Math.floor(absV / 3600);\n const m = Math.floor((absV % 3600) / 60);\n const s = Math.round(absV % 60);\n const hh = h > 0 ? `${h}:` : '';\n const mm = h > 0 ? String(m).padStart(2, '0') : String(m);\n const ss = String(s).padStart(2, '0');\n return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`;\n }\n }\n\n const incZeroDefault =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Compute global Y range and full-track stats in a single pass\n let gMin = Infinity,\n gMax = -Infinity,\n allSum = 0,\n allCount = 0,\n filtMin = Infinity,\n filtMax = -Infinity,\n filtSum = 0,\n filtCount = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < gMin) gMin = v;\n if (v > gMax) gMax = v;\n allSum += v;\n allCount++;\n if (v !== 0 || incZeroDefault) {\n if (v < filtMin) filtMin = v;\n if (v > filtMax) filtMax = v;\n filtSum += v;\n filtCount++;\n }\n }\n if (allCount === 0) {\n gMin = 0;\n gMax = 100;\n }\n const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null;\n const fullStatsFiltered = filtCount\n ? { min: filtMin, max: filtMax, avg: filtSum / filtCount }\n : null;\n const gPad = Math.abs(gMax - gMin) * 0.1 || 1;\n const fixedYRange = [gMin - gPad, gMax + gPad];\n\n let statsTotalInitialized = false;\n\n // Per-range stats\n function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) {\n const incZero =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Update fixed X labels\n const range = visibleMax - visibleMin;\n fixedMinLabel.textContent = formatX(visibleMin, range);\n fixedMaxLabel.textContent = formatX(visibleMax, range);\n\n const getHtml = (xMin: number, xMax: number, isFull = false) => {\n const s =\n isFull && incZero === incZeroDefault\n ? fullStatsFiltered\n : rangeStats(xData, yData, xMin, xMax, incZero);\n if (!s) return '';\n\n let h = `\n align_flex_end${def.fmt(s.min, true)} ${def.unit}\n align_center${def.fmt(s.avg, true)} ${def.unit}\n align_flex_start${def.fmt(s.max, true)} ${def.unit}\n `;\n\n if (metricKey === 'elevation') {\n const es = elevationRangeStats(pts, xMin, xMax);\n h += `\n trending_up+${Math.round(es.gain)} m\n trending_down-${Math.round(es.loss)} m\n `;\n }\n return h;\n };\n\n if (!statsTotalInitialized) {\n statsTotalInitialized = true;\n statsTotalEl.innerHTML = `all_inclusive${getHtml(\n xData[0]!,\n xData[xData.length - 1]!,\n true,\n )}`;\n statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => {\n e.stopPropagation();\n cancelSelection();\n });\n }\n\n if (selAnchorVal !== null && selEndVal !== null) {\n statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false);\n statsSelEl.style.display = 'flex';\n statsSelEl.style.setProperty('--sel-color', def.color);\n } else {\n statsSelEl.style.display = 'none';\n }\n }\n let initializingScale = false;\n const uOpts: uPlot.Options = {\n width: w,\n height: 130,\n padding: [4, 0, 0, 0],\n cursor: {\n sync: {\n key: syncKey!.key,\n },\n drag: { x: true, y: false, uni: 16 },\n focus: { prox: 16 },\n points: {\n size: 7,\n stroke: '#0e0e10',\n width: 2,\n fill: (metricKey === 'elevation'\n ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null)\n : def.color) as any,\n },\n x: false,\n y: false,\n },\n select: {\n show: true,\n left: 0,\n top: 0,\n width: 0,\n height: 0,\n },\n legend: { show: false },\n scales: {\n x: {\n time: false,\n range: (_u: uPlot, mn: number, mx: number) => [mn, mx],\n min: initialRange ? initialRange[0] : undefined,\n max: initialRange ? initialRange[1] : undefined,\n },\n y: {\n range: () => fixedYRange as [number, number],\n dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1,\n },\n },\n axes: [\n {\n side: 2, // bottom\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: {\n show: true,\n stroke: '#2e2e34',\n },\n size: 30,\n space: 80,\n font: '10px system-ui, sans-serif',\n splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => {\n const range = scaleMax - scaleMin;\n const width = u.bbox.width > 0 ? u.bbox.width : u.width;\n const targetLabels = width / 80;\n const idealIncr = range / targetLabels;\n\n let incrs;\n if (!isDistAxis) {\n // Time in seconds\n incrs = [\n 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200,\n 86400, 604800, 2592000, 31536000,\n ];\n } else {\n incrs = [\n 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,\n 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000,\n ];\n }\n\n let incr = incrs[incrs.length - 1];\n for (let i = 0; i < incrs.length; i++) {\n if (incrs[i] >= idealIncr) {\n incr = incrs[i];\n break;\n }\n }\n\n const splits = [];\n let val = Math.ceil(scaleMin / incr) * incr;\n const precision = incr < 1 ? 2 : 0;\n\n while (val <= scaleMax) {\n const pos = u.valToPos(val, 'x', true);\n if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80)\n splits.push(Number(val.toFixed(precision)));\n\n val += incr;\n }\n return splits;\n },\n values: ((_u: uPlot, vals: number[]) => {\n const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0);\n\n return vals.map((v) => {\n if (v == null) return '';\n const pos = _u.valToPos(v, 'x', true);\n // Strict 80px margin to prevent overlapping with fixed labels or Y axis\n if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null;\n return formatX(v, range);\n });\n }) as any,\n },\n {\n side: 3, // left\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: { stroke: '#2e2e34' },\n size: 55,\n font: '10px system-ui, sans-serif',\n values: ((_u: uPlot, vals: number[]) =>\n vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any,\n },\n ],\n series: [\n {},\n // Main selected track series\n {\n label: def.label,\n stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering\n width: 0,\n points: { show: false },\n paths: () => null,\n },\n ],\n hooks: {\n draw: [\n (u: uPlot) => {\n const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area!\n fixedMinLabel.style.top = `${top}px`;\n fixedMinLabel.style.left = `${u.bbox.left}px`;\n\n fixedMaxLabel.style.top = `${top}px`;\n fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`;\n fixedMaxLabel.style.transform = 'translateX(-100%)';\n },\n // 1. (bottom) Color / metric color of the selected track\n (u: uPlot) => {\n if (metricKey === 'gears') {\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n } else if (metricKey === 'elevation') {\n drawElevationGradient(u, xData as number[], yData as number[], gradData);\n } else if (metricKey === 'gradient') {\n drawGradientChart(u, xData as number[], yData as number[]);\n } else if (mapColorMetric === metricKey) {\n drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey);\n } else {\n // Normal colored line\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n }\n },\n\n // 2. Pinned point (middle)\n (u: uPlot) => {\n const plot = plots.find((p) => p.uplot === u);\n if (!plot) return;\n\n const s = (u as any)._strasse;\n // Priority 1: Global pinned point (all charts)\n if (pinnedPtIdx != null) {\n drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey);\n } else {\n if (s && s.pinYVal) s.pinYVal.style.display = 'none';\n\n // Priority 2: Individual histogram pinned Y-pos (this chart only)\n if (plot.pinnedHistY != null)\n drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def);\n }\n },\n\n // 3. Pinned & Hover elements (labels, vertical lines)\n (u: uPlot) => {\n const hIdx = u.cursor.idx;\n const hasPinned = pinnedPtIdx != null;\n\n let hasHover = hIdx != null && u.cursor.left! >= 0;\n if (hasHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[hIdx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) hasHover = false;\n }\n\n // B. Draw Hover vertical line\n if (hasHover && hIdx !== pinnedPtIdx)\n drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0);\n\n // C. Bold selection x-axis line & span pill\n if (selAnchorVal != null && selEndVal != null) {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ax = u.valToPos(selAnchorVal, 'x', true);\n const ex = u.valToPos(selEndVal, 'x', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.lineWidth = 3 * dpr;\n ctx.strokeStyle = def.color;\n ctx.moveTo(ax, bb.top + bb.height);\n ctx.lineTo(ex, bb.top + bb.height);\n ctx.stroke();\n\n const span = Math.abs(selEndVal - selAnchorVal);\n const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span);\n const fontSize = 9 * dpr;\n const fontStr = `bold ${fontSize}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n\n const visibleL = Math.max(bb.left, ax);\n const visibleR = Math.min(bb.left + bb.width, ex);\n const visibleW = visibleR - visibleL;\n\n if (visibleW > tw + 14 * dpr) {\n const padH = 5 * dpr;\n const padV = 2 * dpr;\n const bw = tw + padH * 2;\n const bh = fontSize + padV * 2;\n const bx = (visibleL + visibleR) / 2 - bw / 2;\n const by = bb.top + bb.height - bh / 2;\n\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = def.color;\n ctx.fill();\n\n ctx.fillStyle = '#000';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2);\n }\n ctx.restore();\n }\n\n // D. Draw label pills (on top)\n // Pinned labels first (semi-transparent)\n if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7);\n\n // Hover labels last (fully opaque, topmost)\n if (hasHover && hIdx !== pinnedPtIdx)\n drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0);\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (scaleSyncing) return;\n const idx = u.cursor.idx;\n\n // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live\n // Note: uPlot handles cross-chart sync when syncKey is used.\n u.redraw(false);\n\n // Track current x-value for keyboard navigation\n if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x');\n else lastMouseXVal = null;\n\n // \u2500\u2500 Floating y-value next to cursor dot \u2500\u2500\n const s = (u as any)._strasse;\n let showHover = idx != null && yData[idx] != null;\n\n // Distance threshold: if no pinned point, check proximity to data line\n if (showHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[idx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) showHover = false;\n }\n\n if (s) {\n if (showHover)\n updateTooltip(\n u,\n s.curYVal,\n idx!,\n xData as number[],\n yData as number[],\n pts,\n def,\n metricKey,\n );\n else s.curYVal.style.display = 'none';\n }\n\n // Map marker\n if (!cursorSyncing) {\n if (idx != null && pts[idx]) {\n if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) {\n onCursorMoveCb(pts[idx]);\n } else if (onCursorMoveCb && !showHover) {\n // If we're too far and nothing is pinned, hide map cursor\n onCursorMoveCb(null);\n }\n } else if (idx === null && onCursorMoveCb) {\n onCursorMoveCb(null);\n }\n }\n\n // Highlight matching histogram bucket\n if (idx != null && yData[idx] != null) {\n const { min, max } = histData;\n if (min != null && max != null) {\n const span = max - min || 1;\n const binI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[idx]! - min) / span) * histData.BINS),\n );\n if (plot.hoveredHistY !== yData[idx]) {\n plot.hoveredHistY = yData[idx];\n drawHistogram(histCanvas, histData, 130, binI);\n }\n }\n } else if (plot.hoveredHistY !== null) {\n plot.hoveredHistY = null;\n drawHistogram(histCanvas, histData, 130);\n }\n },\n ],\n\n setScale: [\n (u: uPlot, key: string) => {\n if (key !== 'x' || initializingScale) return;\n const { min, max } = u.scales.x!;\n\n // Sync currentXRange so keyboard navigation baseline is always accurate\n currentXRange = [min!, max!];\n\n // Update header stats for VISIBLE range\n updateHeaderStats(min as number, max as number, u);\n\n if (scaleSyncing) return;\n\n // Clear keyboard target when user interacts via mouse\n if (!updatingRange) targetXRange = null;\n\n // Sync sibling plots\n scaleSyncing = true;\n plots.forEach(({ uplot: other }) => {\n if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! }));\n });\n scaleSyncing = false;\n\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb && selAnchorVal !== null)\n onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n },\n ],\n\n setSelect: [\n (u: uPlot) => {\n if (updatingRange) return;\n targetXRange = null;\n const { left, width } = u.select;\n if (width > 0) {\n const min = u.posToVal(left, 'x');\n const max = u.posToVal(left + width, 'x');\n selAnchorVal = min;\n selEndVal = max;\n\n // Sync stats to new selection\n updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u);\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n\n // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction\n u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false);\n }\n },\n ],\n },\n };\n\n // \u2500\u2500 Overlay (pointer-events off except handles) \u2500\u2500\n const overlay = document.createElement('div');\n overlay.style.cssText =\n 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5';\n\n // Selection fill\n const selFill = document.createElement('div');\n selFill.className = 'sel-fill';\n selFill.style.display = 'none';\n\n // Anchor line + label + drag handle\n const anchorLine = document.createElement('div');\n anchorLine.className = 'sel-line sel-line-anchor';\n anchorLine.style.display = 'none';\n\n const anchorLabel = document.createElement('div');\n anchorLabel.className = 'sel-line-label sel-line-label-anchor';\n anchorLabel.style.display = 'none';\n\n const anchorHandle = document.createElement('div');\n anchorHandle.className = 'sel-handle sel-handle-anchor';\n anchorHandle.style.display = 'none';\n\n const anchorMarker = document.createElement('div');\n anchorMarker.className = 'sel-graph-marker';\n anchorMarker.innerHTML =\n 'play_circle';\n anchorMarker.style.display = 'none';\n\n // End line + label + drag handle\n const endLine = document.createElement('div');\n endLine.className = 'sel-line sel-line-end';\n endLine.style.display = 'none';\n\n const endLabel = document.createElement('div');\n endLabel.className = 'sel-line-label sel-line-label-end';\n endLabel.style.display = 'none';\n\n const endHandle = document.createElement('div');\n endHandle.className = 'sel-handle sel-handle-end';\n endHandle.style.display = 'none';\n\n const endMarker = document.createElement('div');\n endMarker.className = 'sel-graph-marker';\n endMarker.innerHTML =\n 'stop_circle';\n endMarker.style.display = 'none';\n\n // Floating cursor y-value\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${def.color};display:none`;\n\n // Floating pinned y-value\n const pinYVal = document.createElement('div');\n pinYVal.className = 'cur-y-val pin';\n pinYVal.style.cssText = `color:${def.color};display:none`;\n\n overlay.append(\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n );\n\n const histData: HistData = {\n yData,\n xData: xData as number[],\n def,\n BINS: 24,\n min: allCount ? gMin : undefined,\n max: allCount ? gMax : undefined,\n fullStats: fullStatsFiltered,\n fullStatsAll,\n };\n const plot: PlotData = {\n uplot: null as any,\n row,\n xData: xData as number[],\n yData,\n def,\n metricKey,\n statsTotalEl,\n statsSelEl,\n histCol,\n histCanvas,\n histData,\n hoveredHistY: null,\n pinnedHistY: null,\n smoothed: smoothedMetrics.has(metricKey),\n incZero: metricsIncludingZero.has(metricKey),\n w,\n };\n histData.plot = plot; // Back-reference for tooltip to trigger redraws\n\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => {\n plot.uplot = self as WegPlot;\n plots.push(plot);\n plotEl.appendChild(self.root);\n self.over.appendChild(overlay);\n (self as any)._strasse = {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n updateHeaderStats,\n };\n self.batch(() => {\n init();\n });\n }) as WegPlot;\n scaleSyncing = prevSync;\n\n // \u2500\u2500 Handle drag \u2500\u2500\n attachHandleDrag(anchorHandle, uplot, xData, true);\n attachHandleDrag(endHandle, uplot, xData, false);\n\n // \u2500\u2500 Mouse listeners \u2500\u2500\n let mousedownX: number | null = null;\n uplot.over.addEventListener('mousedown', (e) => {\n if (e.button !== 0) return;\n isDragging = false;\n const rect = uplot.over.getBoundingClientRect();\n const xPx = e.clientX - rect.left;\n mousedownX = xPx;\n });\n uplot.over.addEventListener('mousemove', (e) => {\n if (mousedownX !== null) {\n const rect = uplot.over.getBoundingClientRect();\n if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true;\n }\n });\n uplot.over.addEventListener('mouseup', () => {\n mousedownX = null;\n });\n\n // Click to pin point (sticky selection)\n uplot.over.addEventListener('click', () => {\n if (isDragging) return;\n const idx = uplot.cursor.idx;\n if (idx != null && pts[idx]) {\n pinnedPtIdx = idx;\n plots.forEach(({ uplot: u }) => u.redraw(false));\n if (onClickCb) onClickCb(pts[idx], idx);\n if (onPinChangeCb) onPinChangeCb(idx);\n }\n });\n\n row.addEventListener('dblclick', cancelSelection);\n\n let initHoverBinI: number | null = null;\n if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) {\n buildHistBins(histData);\n if (histData.min != null && histData.max != null) {\n const span = histData.max - histData.min || 1;\n initHoverBinI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS),\n );\n plot.hoveredHistY = yData[pinnedPtIdx];\n }\n }\n\n drawHistogram(histCanvas, histData, 130, initHoverBinI);\n attachHistTooltip(histCanvas, histData);\n if (container) {\n if (insertBeforeEl) container.insertBefore(row, insertBeforeEl);\n else container.appendChild(row);\n }\n }\n\n // \u2500\u2500 Selection overlay (fill + lines + handles) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateSelOverlay() {\n updateAnchorLines();\n // Redraw canvas markers (bold selection line + span pill)\n plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false)));\n }\n\n function updateAnchorLines() {\n plots.forEach(({ uplot: u, def }) => {\n const s = (u as any)._strasse;\n if (!s) return;\n const {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n } = s;\n if (selAnchorVal == null || selEndVal == null) {\n [\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n ].forEach((el: HTMLElement) => {\n el.style.display = 'none';\n });\n return;\n }\n const aX = u.valToPos(selAnchorVal, 'x');\n const eX = u.valToPos(selEndVal, 'x');\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const overW = bb.width / dpr;\n const overH = bb.height / dpr;\n const plotBottom = (bb.top + bb.height) / dpr;\n\n const isAnchorVisible = aX >= 0 && aX <= overW;\n const isEndVisible = eX >= 0 && eX <= overW;\n\n // Fill: clamp left/right to visible area\n const fillL = Math.max(0, aX);\n const fillR = Math.min(overW, eX);\n if (fillR > fillL) {\n selFill.style.left = `${fillL}px`;\n selFill.style.width = `${fillR - fillL}px`;\n selFill.style.top = '0';\n selFill.style.height = `${overH}px`;\n selFill.style.backgroundColor = hexToRgba(def.color, 0.07);\n selFill.style.display = '';\n } else {\n selFill.style.display = 'none';\n }\n\n // Anchor line\n if (isAnchorVisible) {\n anchorLine.style.left = `${aX}px`;\n anchorLine.style.height = `${overH}px`;\n anchorLine.style.borderLeftColor = def.color;\n anchorLine.style.display = '';\n // Anchor label\n const aText = fmtXVal(selAnchorVal);\n anchorLabel.textContent = aText;\n const aLabelW = aText.length * 7 + 10;\n anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`;\n anchorLabel.style.display = '';\n // Anchor handle\n anchorHandle.style.left = `${aX}px`;\n anchorHandle.style.backgroundColor = def.color;\n anchorHandle.style.display = '';\n // Anchor marker: centered on the bold line\n anchorMarker.style.left = `${aX}px`;\n anchorMarker.style.top = `${plotBottom}px`;\n const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (aIcon) aIcon.style.color = def.color;\n anchorMarker.style.display = '';\n } else {\n [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n\n // End line\n if (isEndVisible) {\n endLine.style.left = `${eX}px`;\n endLine.style.height = `${overH}px`;\n endLine.style.borderLeftColor = def.color;\n endLine.style.display = '';\n // End label\n const eText = fmtXVal(selEndVal);\n endLabel.textContent = eText;\n const eLabelW = eText.length * 7 + 10;\n endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`;\n endLabel.style.display = '';\n // End handle\n endHandle.style.left = `${eX}px`;\n endHandle.style.backgroundColor = def.color;\n endHandle.style.display = '';\n // End marker: centered on the bold line\n endMarker.style.left = `${eX}px`;\n endMarker.style.top = `${plotBottom}px`;\n const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (eIcon) eIcon.style.color = def.color;\n endMarker.style.display = '';\n } else {\n [endLine, endLabel, endHandle, endMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n });\n }\n\n function fmtXVal(v: number) {\n return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v);\n }\n\n // \u2500\u2500 Handle drag logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function attachHandleDrag(\n handleEl: HTMLElement,\n uplot: uPlot,\n xData: (number | null)[],\n isAnchor: boolean,\n ) {\n // pointer-events enabled on the handle itself\n handleEl.style.pointerEvents = 'auto';\n\n handleEl.addEventListener('mousedown', (e) => {\n e.stopPropagation();\n e.preventDefault();\n const startX = e.clientX;\n const startVal = isAnchor ? selAnchorVal : selEndVal;\n const overW = uplot.over.offsetWidth;\n // px-per-data-unit at current zoom\n const xMin = uplot.scales.x!.min!,\n xMax = uplot.scales.x!.max!;\n const pxPerUnit = overW / (xMax - xMin);\n const xFull = [xData[0]!, xData[xData.length - 1]!];\n\n document.body.style.cursor = 'ew-resize';\n isDragging = true;\n\n function onMove(me: MouseEvent) {\n const dx = me.clientX - startX;\n let newVal = (startVal || 0) + dx / pxPerUnit;\n newVal = Math.max(xFull[0], Math.min(xFull[1], newVal));\n\n if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001);\n else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001);\n\n // When dragging handles, we typically want to stay zoomed to the selection?\n // Actually, let's keep the zoom as is, and just update the selection overlay and stats.\n plots.forEach((p) =>\n (p.uplot as any)._strasse?.updateHeaderStats(\n p.uplot.scales.x!.min!,\n p.uplot.scales.x!.max!,\n ),\n );\n updateSelOverlay();\n redrawHistograms();\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n }\n\n function onUp() {\n document.body.style.cursor = '';\n isDragging = false;\n document.removeEventListener('mousemove', onMove);\n document.removeEventListener('mouseup', onUp);\n }\n\n document.addEventListener('mousemove', onMove);\n document.addEventListener('mouseup', onUp);\n });\n }\n\n // \u2500\u2500 Histogram logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function buildHistBins(histData: HistData) {\n const { yData, xData, BINS } = histData;\n\n // Cache to avoid re-binning every frame during hover\n if (histData._lastYData === yData && histData.bins) return;\n histData._lastYData = yData;\n\n let min = histData.min;\n let max = histData.max;\n if (min == null || max == null) {\n let lo = Infinity,\n hi = -Infinity,\n cnt = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < lo) lo = v;\n if (v > hi) hi = v;\n cnt++;\n }\n if (!cnt) return;\n min = lo;\n max = hi;\n histData.min = min;\n histData.max = max;\n }\n\n const bins = new Array(BINS).fill(0);\n const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km)\n\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n bins[bi]++;\n\n // weight by x-delta\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n binAccum[bi] += (next - prev) / 2;\n }\n histData.bins = bins;\n histData.binAccum = binAccum;\n }\n\n function redrawHistograms() {\n plots.forEach(({ histCanvas, histData, uplot: u }) => {\n drawHistogram(histCanvas, histData, u.height);\n });\n }\n\n function drawHistogram(\n canvas: HTMLCanvasElement,\n histData: HistData,\n chartH: number,\n hoverBinI: number | null = null,\n ) {\n const { def, BINS } = histData;\n buildHistBins(histData);\n const { bins, min, max } = histData;\n if (!bins || min == null || max == null) return;\n\n const hasSel = selAnchorVal != null && selEndVal != null;\n\n // Compute selection bins if a range is active and changed\n if (\n hasSel &&\n (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal)\n ) {\n histData._lastSelRange = [selAnchorVal!, selEndVal!];\n const selBins = new Array(BINS).fill(0);\n const selBinAccum = new Array(BINS).fill(0);\n const { yData, xData } = histData;\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const x = xData[i];\n if (x == null || x < selAnchorVal! || x > selEndVal!) continue;\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n selBins[bi]++;\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n selBinAccum[bi] += (next - prev) / 2;\n }\n histData.selBins = selBins;\n histData.selBinAccum = selBinAccum;\n } else if (!hasSel) {\n histData.selBins = null;\n histData.selBinAccum = null;\n histData._lastSelRange = null;\n }\n const selBins = histData.selBins;\n\n const dpr = window.devicePixelRatio || 1;\n const W = HIST_W;\n const H = chartH;\n\n // Performance: only set dimensions if they changed (resets canvas)\n if (canvas.width !== W * dpr || canvas.height !== H * dpr) {\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n canvas.style.width = `${W}px`;\n canvas.style.height = `${H}px`;\n }\n\n const ctx = canvas.getContext('2d')!;\n ctx.resetTransform();\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const peak = Math.max(...bins);\n\n // Measure label width so bars start right after them\n const fmt = (v: number) => def.fmtAxis(v);\n const fontStr = '9px system-ui, sans-serif';\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const labelW = Math.ceil(\n Math.max(\n ctx.measureText(`${fmt(max)} ${def.unit}`).width,\n ctx.measureText(`${fmt(min)} ${def.unit}`).width,\n ),\n );\n\n // Vertical alignment with main graph:\n // uPlot padding: [4, 0, 0, 0]\n // Axis size: 30\n const pad = { t: 4, r: 0, b: 30, l: labelW + 6 };\n histData.padL = pad.l;\n const plotW = W - pad.l - pad.r;\n const plotH = H - pad.t - pad.b;\n\n // bin 0 = lowest values \u2192 drawn at bottom; bin BINS-1 = highest \u2192 drawn at top\n const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS);\n const binH = plotH / BINS - 1;\n\n // Full distribution (dimmed when selection active)\n const baseAlpha = hasSel ? 0.15 : 0.6;\n ctx.fillStyle = hexToRgba(def.color, baseAlpha);\n for (let i = 0; i < BINS; i++) {\n if (!bins[i]) continue;\n const bw = (bins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n\n // Selection overlay (bright)\n if (selBins) {\n ctx.fillStyle = hexToRgba(def.color, 0.85);\n for (let i = 0; i < BINS; i++) {\n if (!selBins[i]) continue;\n const bw = (selBins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n ctx.fillStyle = def.color;\n ctx.fillRect(pad.l, pad.t, 2, plotH);\n }\n\n // CDF overlay \u2014 smooth curve from bottom (0%) to top (100%)\n const total = bins.reduce((s, v) => s + v, 0);\n if (total > 0) {\n // Build CDF points: one per bin boundary, bottom\u2192top\n const pts2 = [{ x: pad.l, y: pad.t + plotH }];\n let cumSum = 0;\n for (let i = 0; i < BINS; i++) {\n cumSum += bins[i];\n pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) });\n }\n\n ctx.beginPath();\n // CDF line is now solid\n ctx.setLineDash([]);\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 0.75 * dpr;\n ctx.lineJoin = 'round';\n ctx.moveTo(pts2[0].x, pts2[0].y);\n for (let i = 1; i < pts2.length - 1; i++) {\n const mx = (pts2[i].x + pts2[i + 1].x) / 2;\n const my = (pts2[i].y + pts2[i + 1].y) / 2;\n ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my);\n }\n ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y);\n ctx.stroke();\n\n // \u2500\u2500 Hover highlight on CDF \u2500\u2500\n if (hoverBinI != null && pts2[hoverBinI + 1]) {\n const cp = pts2[hoverBinI + 1];\n // Vertical line down\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(def.color, 0.6);\n ctx.moveTo(cp.x, cp.y);\n ctx.lineTo(cp.x, pad.t + plotH);\n ctx.stroke();\n ctx.setLineDash([]);\n\n // Dot: tiny precision point\n ctx.beginPath();\n ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n }\n\n // Axis labels: max at top, min at bottom\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n const font9 = '9px system-ui, sans-serif';\n if (ctx.font !== font9) ctx.font = font9;\n ctx.textAlign = 'right';\n\n // Draw Max\n ctx.textBaseline = 'top';\n ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t);\n\n // Draw Min\n ctx.textBaseline = 'bottom';\n ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b);\n\n // Draw Avg (only if it doesn't overlap min/max)\n const stats =\n !hasSel && histData.fullStatsAll !== undefined\n ? histData.fullStatsAll\n : rangeStats(\n histData.xData,\n histData.yData,\n selAnchorVal || -Infinity,\n selEndVal || Infinity,\n );\n if (stats) {\n const avgY =\n pad.t +\n (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) *\n (plotH / BINS);\n const minLabelY = H - pad.b;\n const maxLabelY = pad.t;\n const labelHeight = 10; // Approx 10px height for 9px font\n\n if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) {\n ctx.textBaseline = 'middle';\n if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa';\n ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY);\n // Draw small indicator tick\n ctx.beginPath();\n ctx.moveTo(pad.l - 3, avgY);\n ctx.lineTo(pad.l, avgY);\n if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa';\n ctx.lineWidth = 1;\n ctx.stroke();\n }\n }\n\n // \u2500\u2500 Higher/Lower percentages below histogram \u2500\u2500\n if (hoverBinI != null && total > 0) {\n let countLower = 0;\n for (let i = 0; i < hoverBinI; i++) countLower += bins[i];\n let countHigher = 0;\n for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i];\n\n const pLower = Math.round((countLower / total) * 100);\n const pHigher = Math.round((countHigher / total) * 100);\n\n ctx.save();\n ctx.textAlign = 'left';\n ctx.textBaseline = 'top';\n const font8 = '8px system-ui, sans-serif';\n if (ctx.font !== font8) ctx.font = font8;\n\n const textY = H - pad.b + 6;\n\n // Draw \"Lower\" stat\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('LOWER', pad.l, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n const fontB10 = 'bold 10px system-ui, sans-serif';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pLower}%`, pad.l, textY + 10);\n\n // Draw \"Higher\" stat\n const midX = pad.l + plotW / 2;\n if (ctx.font !== font8) ctx.font = font8;\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('HIGHER', midX, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pHigher}%`, midX, textY + 10);\n\n ctx.restore();\n }\n }\n\n function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) {\n const { plot } = histData;\n\n canvas.addEventListener('click', (e) => {\n const binI = getBinAt(canvas, histData, e);\n if (binI != null && plot) {\n const { min, max, BINS } = histData;\n const span = max! - min! || 1;\n plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n }\n });\n\n canvas.addEventListener('mousemove', (e) => {\n lastHistMouseEvent = e;\n updateHistTooltip(e, canvas, histData);\n });\n\n canvas.addEventListener('mouseenter', () => {\n hoveredHistCanvas = canvas;\n hoveredHistData = histData;\n });\n\n canvas.addEventListener('mouseleave', () => {\n if (hoveredHistCanvas === canvas) {\n hoveredHistCanvas = null;\n hoveredHistData = null;\n }\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const lineEl = document.getElementById('hist-line');\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n });\n }\n\n function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) {\n const { bins, BINS } = histData;\n if (!bins) return null;\n const rect = canvas.getBoundingClientRect();\n const relY = e.clientY - rect.top;\n // Use exact padding from drawHistogram: t: 4, b: 30\n const pad = { t: 4, b: 30 };\n const plotH = rect.height - pad.t - pad.b;\n const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!);\n const binI = BINS! - 1 - rawI;\n if (rawI < 0 || rawI >= BINS!) return null;\n return binI;\n }\n\n function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) {\n if (!histTooltipEl) return;\n const { bins, binAccum, min, max, BINS, def, plot } = histData;\n if (!bins || !binAccum || min == null || max == null) return;\n\n const lineEl = document.getElementById('hist-line');\n const binI = getBinAt(canvas, histData, e);\n\n if (binI == null || !bins[binI]) {\n histTooltipEl.style.display = 'none';\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n return;\n }\n\n if (plot) {\n const span = max - min || 1;\n plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!);\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI);\n }\n\n const count = bins[binI];\n const total = bins.reduce((s, v) => s + v, 0);\n const pct = (count / total) * 100;\n\n const span = max - min || 1;\n const low = min + binI * (span / BINS!);\n const high = min + (binI + 1) * (span / BINS!);\n const label = `${def.fmt(low, true)} \u2013 ${def.fmt(high, true)} ${def.unit}`;\n\n // Zone info\n let zoneHtml = '';\n const mid = (low + high) / 2;\n const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def);\n let zones: any[] = [];\n if (metricKey === 'power') zones = Zones.getPowerZones();\n else if (metricKey === 'hr') zones = Zones.getHRZones();\n\n if (zones.length > 0) {\n const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max);\n const z =\n zIdx !== -1\n ? zones[zIdx]\n : mid >= zones[zones.length - 1].min\n ? zones[zones.length - 1]\n : null;\n if (z) {\n const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1;\n zoneHtml = `\n
\n Z${finalZIdx + 1}\n \u00B7\n ${z.name}\n
\n `;\n }\n }\n\n const totalAccum =\n xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]);\n const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100;\n\n let html = `\n
${label}
\n ${zoneHtml}\n `;\n\n if (totalAccum) {\n html += `
\n ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${totalAccum}\n ${totalPct.toFixed(1)}%\n
`;\n }\n\n // Selection context\n if (histData.selBins && histData.selBinAccum) {\n const stotalAccum =\n xAxis === 'distance'\n ? `${histData.selBinAccum[binI].toFixed(2)} km`\n : fmtSecs(histData.selBinAccum[binI]);\n const stotalPct =\n (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100;\n\n html += `\n
\n Sel ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${stotalAccum}\n ${stotalPct.toFixed(1)}%\n
\n `;\n }\n\n histTooltipEl.innerHTML = html;\n\n // Position tooltip: fixed X left of canvas, Y centered on bin\n histTooltipEl.style.display = 'block';\n const ttH = histTooltipEl.offsetHeight;\n const ttW = histTooltipEl.offsetWidth;\n const rect = canvas.getBoundingClientRect();\n const plotH = rect.height - 4 - 30; // pad.t + pad.b\n const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!);\n\n histTooltipEl.style.left = `${rect.left - ttW - 12}px`;\n histTooltipEl.style.top = `${binCenterY - ttH / 2}px`;\n\n // Horizontal line sync\n if (lineEl) {\n lineEl.style.display = 'block';\n lineEl.style.top = `${binCenterY}px`;\n lineEl.style.left = '0px';\n lineEl.style.width = `${rect.left}px`;\n }\n }\n\n // \u2500\u2500 Helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function destroyPlots(keepState = false) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n plots.forEach(({ uplot: u, row }) => {\n syncKey!.unsub(u);\n u.destroy();\n row.remove();\n });\n plots = [];\n renderedTrack = null;\n if (!keepState) {\n selAnchorVal = null;\n selEndVal = null;\n }\n isDragging = false;\n }\n\n function rangeStats(\n xData: (number | null)[],\n yData: (number | null)[],\n xMin: number,\n xMax: number,\n incZero = true,\n ) {\n let min = Infinity,\n max = -Infinity,\n sum = 0,\n n = 0;\n for (let i = 0; i < xData.length; i++) {\n if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue;\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n if (v < min) min = v;\n if (v > max) max = v;\n sum += v;\n n++;\n }\n return n ? { min, max, avg: sum / n } : null;\n }\n\n function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) {\n let gain = 0,\n loss = 0;\n let prevEle: number | null = null;\n const isDist = xAxis === 'distance';\n const t0 = pts[0].time || 0;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n if (x < xMin || x > xMax) continue;\n\n if (p.ele != null) {\n if (prevEle != null) {\n const diff = p.ele - prevEle;\n if (diff > 0) gain += diff;\n else if (diff < 0) loss += Math.abs(diff);\n }\n prevEle = p.ele;\n }\n }\n return { gain, loss };\n }\n\n // \u2500\u2500 Plot Rendering Helpers (Canvas) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateTooltip(\n u: WegPlot,\n el: HTMLElement,\n idx: number,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n def: MetricDefinition,\n metricKey: string,\n ) {\n if (idx == null || yData[idx] == null) {\n el.style.display = 'none';\n return;\n }\n\n const cx = u.valToPos(xData[idx]!, 'x', false);\n const cy = u.valToPos(yData[idx]!, 'y', false);\n\n let gColor = '#888896';\n let g = 0;\n if (idx > 0 && pts[idx] && pts[idx - 1]) {\n const p0 = pts[idx - 1],\n p1 = pts[idx];\n const d = (p1.dist || 0) - (p0.dist || 0);\n if (d > 0.1 && p1.ele != null && p0.ele != null) {\n g = ((p1.ele - p0.ele) / d) * 100;\n gColor = gradientColor(g);\n }\n }\n\n let content =\n metricKey !== 'elevation'\n ? `${def.fmt(yData[idx]!, false)} ${def.unit}`\n : `${def.fmt(yData[idx]!, false)} ${def.unit} \u2220 ${Math.abs(g).toFixed(1)}%`;\n\n // Special handling for gears: show tooth count if available\n if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) {\n content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) {\n content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gears') {\n const p = pts[idx];\n const front =\n p.gearFrontTooth != null\n ? `${p.gearFrontTooth}T`\n : p.gearFront != null\n ? `pos ${p.gearFront}`\n : '';\n const rear =\n p.gearRearTooth != null\n ? `${p.gearRearTooth}T`\n : p.gearRear != null\n ? `pos ${p.gearRear}`\n : '';\n\n if (front || rear)\n content += ` (${front} / ${rear})`;\n }\n\n if (el.innerHTML !== content) el.innerHTML = content;\n\n const color44 = `${def.color}44`;\n if (el.style.color !== def.color) el.style.color = def.color;\n if (el.style.borderColor !== color44) el.style.borderColor = color44;\n\n const left = `${cx}px`;\n const top = `${cy}px`;\n const transform = 'translate(6px, -50%)';\n if (el.style.left !== left) el.style.left = left;\n if (el.style.top !== top) el.style.top = top;\n if (el.style.transform !== transform) el.style.transform = transform;\n if (el.style.display !== '') el.style.display = '';\n }\n\n const gradientColorRgbaCache = new Map();\n function gradientColorRgba(g: number | null): string {\n let c = gradientColorRgbaCache.get(g);\n if (!c) {\n c = hexToRgba(gradientColor(g), 0.8);\n gradientColorRgbaCache.set(g, c);\n }\n return c;\n }\n\n function drawElevationGradient(\n u: uPlot,\n xData: number[],\n yData: number[],\n gradData: (number | null)[] | null,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawGradientChart(u: uPlot, xData: number[], yData: number[]) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = Math.round(yData[i]! / 2) * 2;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) {\n const idx = u.cursor.idx;\n if (idx == null || yData[idx] == null || u.cursor.left! < 0) return;\n\n const t0 = pts[0].time || 0;\n const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yData[idx], 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Line from top to point + horizontal from left\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, cy);\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Dot at point\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n\n function drawVerticalLineOnly(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const xVal =\n xAxis === 'distance'\n ? (pts[idx].dist || 0) / 1000\n : (pts[idx].time! - (pts[0].time || 0)) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n // Dotted line range should match where labels are (flush top to bottom axis)\n ctx.moveTo(cx, bb.top + 16 * dpr);\n ctx.lineTo(cx, bb.top + bb.height + 10 * dpr);\n ctx.stroke();\n ctx.restore();\n }\n\n function drawXAxisLabels(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n skipLine = false,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const t0 = pts[0].time || 0;\n const distVal = (pts[idx].dist || 0) / 1000;\n const timeVal = (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true);\n\n // Bottom label: matches the current X axis unit\n const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal);\n // Top label: shows the other unit (simplified)\n const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`;\n\n const drawPill = (text: string, x: number, y: number, isTop: boolean) => {\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(text).width;\n const bw = tw + 10 * dpr;\n const bh = 16 * dpr;\n const rx = x - bw / 2;\n const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx));\n const ry = y - bh / 2;\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.setLineDash([]); // Ensure pills are not dashed\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr);\n else ctx.rect(clampedRx, ry, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.92)';\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr);\n ctx.restore();\n };\n\n if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity);\n\n const pillH = 16 * dpr;\n // Top label: flush to the top edge of the plot\n drawPill(topLabel, cx, bb.top + pillH / 2, true);\n\n // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area)\n drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false);\n }\n\n function drawPinnedDot(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n def: MetricDefinition,\n pts: TrackPoint[],\n metricKey: string,\n ) {\n if (pinnedPtIdx == null) return;\n const xVal = xData[pinnedPtIdx];\n const yVal = yData[pinnedPtIdx];\n if (xVal == null || yVal == null) return;\n\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n ctx.save();\n // Vertical line\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1.5 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, bb.top + bb.height);\n ctx.stroke();\n\n // Horizontal dashed line\n ctx.beginPath();\n ctx.setLineDash([3 * dpr, 3 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.5);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Large Dot\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2.5 * dpr;\n ctx.stroke();\n ctx.restore();\n\n const s = (u as any)._strasse;\n if (s && s.pinYVal) {\n updateTooltip(\n u,\n s.pinYVal,\n pinnedPtIdx,\n xData as number[],\n yData as (number | null)[],\n pts,\n def,\n metricKey,\n );\n }\n }\n\n function drawYAxisHighlight(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n yVal: number,\n color: string,\n def: MetricDefinition,\n ) {\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const cy = u.valToPos(yVal, 'y', true);\n\n // Clamp cy to bbox\n const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy));\n\n ctx.save();\n // Horizontal line\n ctx.beginPath();\n ctx.setLineDash([4 * dpr, 4 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cyClamp);\n ctx.lineTo(bb.left + bb.width, cyClamp);\n ctx.stroke();\n\n // Fill area above/below\n drawAreaFillAbove(u, xData, yData, cyClamp, color);\n\n // Pill label on Y-axis\n const label = def.fmt(yVal, true);\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n const bw = tw + 8 * dpr;\n const bh = 16 * dpr;\n const bx = bb.left - bw - 2 * dpr;\n const by = cyClamp - bh / 2;\n\n ctx.beginPath();\n ctx.setLineDash([]);\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.95)';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = '#fff';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr);\n ctx.restore();\n }\n\n function drawAreaFillAbove(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n cyClamp: number,\n color: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.beginPath();\n\n let inSegment = false;\n let hasAnySegment = false;\n let lastPx = 0;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null || xv < xMin || xv > xMax) {\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n lastPx = px;\n\n if (py < cyClamp) {\n if (!inSegment) {\n ctx.moveTo(px, cyClamp);\n inSegment = true;\n hasAnySegment = true;\n }\n ctx.lineTo(px, py);\n } else if (inSegment) {\n ctx.lineTo(px, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n }\n\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n }\n\n if (hasAnySegment) {\n ctx.fill();\n }\n\n ctx.restore();\n }\n\n // \u2500\u2500 Utils \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function lerpHex(a: string, b: string, t: number) {\n const ah = parseInt(a.slice(1), 16),\n bh = parseInt(b.slice(1), 16);\n const ar = ah >> 16,\n ag = (ah >> 8) & 0xff,\n ab = ah & 0xff;\n const br = bh >> 16,\n bg = (bh >> 8) & 0xff,\n bb = bh & 0xff;\n const rr = ar + (br - ar) * t,\n rg = ag + (bg - ag) * t,\n rb = ab + (bb - ab) * t;\n return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb))\n .toString(16)\n .slice(1)}`;\n }\n\n function gradientColor(g: number | null) {\n if (g == null) return '#888896';\n const absG = Math.abs(g);\n const t = Math.min(1, absG / 8);\n if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red\n return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue\n }\n\n function speedColor(s: number | null) {\n if (s == null) return '#888896';\n const kmh = s * 3.6;\n\n if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow\n if (kmh >= 60) return '#d73027'; // Solid Red for very fast\n\n // High resolution between 5 and 45 (10km/h per segment)\n if (kmh <= 45) {\n const t = (kmh - 5) / 40; // 0 to 1\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue\n if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green\n if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow\n return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange\n } else {\n // 45-60: Orange -> Red\n const t = (kmh - 45) / 15;\n return lerpHex('#fc8d59', '#d73027', t);\n }\n }\n\n function smoothGradient(pts: TrackPoint[], windowMetres: number) {\n const grads: (number | null)[] = new Array(pts.length).fill(null);\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n let j0 = i,\n j1 = i;\n while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--;\n while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++;\n const d = (pts[j1].dist || 0) - (pts[j0].dist || 0);\n if (d > 1 && pts[j1].ele != null && pts[j0].ele != null)\n grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100;\n }\n return grads;\n }\n\n function fillNulls(data: (number | null)[]) {\n const res = [...data];\n for (let i = 0; i < res.length; i++) {\n if (res[i] === null) {\n let left = i - 1;\n while (left >= 0 && res[left] === null) left--;\n let right = i + 1;\n while (right < res.length && res[right] === null) right++;\n if (left >= 0 && right < res.length)\n res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left);\n else if (left >= 0) res[i] = res[left];\n else if (right < res.length) res[i] = res[right];\n }\n }\n return res;\n }\n\n function updateStats(track: TrackData) {\n const s = track.stats;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '\u2014');\n fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014');\n fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '\u2014');\n\n // Recalculate averages from visible plot data to respect zero filtering\n const getAvg = (key: string) => {\n const p = plots.find((p) => p.metricKey === key);\n if (!p) {\n if (key === 'speed') return s.avgSpeed ?? null;\n if (key === 'power') return s.avgPower ?? null;\n if (key === 'cadence') return s.avgCadence ?? null;\n return null;\n }\n if (p.histData.fullStats !== undefined) {\n return p.histData.fullStats ? p.histData.fullStats.avg : null;\n }\n const incZero =\n metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed');\n const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0));\n if (!vals.length) return null;\n return vals.reduce((a, b) => a + b, 0) / vals.length;\n };\n\n const avgSpeed = getAvg('speed');\n fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014');\n\n const avgPower = getAvg('power');\n fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '\u2014');\n\n const avgCadence = getAvg('cadence');\n fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '\u2014');\n\n fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '\u2014');\n fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n }\n\n const INTERVAL_CAP = 16384;\n const ivPwr = new Float64Array(INTERVAL_CAP);\n const ivHr = new Float64Array(INTERVAL_CAP);\n const ivSpd = new Float64Array(INTERVAL_CAP);\n const ivEle = new Float64Array(INTERVAL_CAP);\n const ivCad = new Float64Array(INTERVAL_CAP);\n const ivSmoothed = new Float64Array(INTERVAL_CAP);\n const ivKdeBins = new Float64Array(64);\n const intervalWindows = [\n 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, 360,\n ];\n\n function analyzeTelemetryIntervals(\n tracksList: TrackData[],\n selStartSec: number,\n selEndSec: number,\n ) {\n if (!tracksList.length) return 0;\n ivKdeBins.fill(0);\n let intervalScore = 0;\n\n for (let ti = 0; ti < tracksList.length; ti++) {\n const pts = tracksList[ti].points;\n const n = Math.min(pts.length, INTERVAL_CAP);\n if (n < 4) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n ivPwr[i] = p.power || 0;\n ivHr[i] = p.hr || 0;\n ivSpd[i] = p.speed || 0;\n ivEle[i] = p.ele || 0;\n ivCad[i] = p.cad || 0;\n }\n\n // Multi-band Savitzky-Golay 5-point quadratic smoothing, Gaussian kernel density,\n // and spectral cadence-HR harmonic analysis\n const sStart = Math.max(0, Math.min(n - 1, Math.floor(selStartSec)));\n const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec)));\n const inv35 = 1 / 35;\n\n for (let pass = 0; pass < 65; pass++) {\n const weightPwr = 1.0 + pass * 0.02;\n const weightHr = 0.8 + pass * 0.015;\n const invSigmaSq = 1 / (180 + pass * 25);\n const omega = 0.012 + pass * 0.0015;\n for (let i = 2; i < n - 2; i++) {\n const sgPwr =\n (-3 * ivPwr[i - 2] +\n 12 * ivPwr[i - 1] +\n 17 * ivPwr[i] +\n 12 * ivPwr[i + 1] -\n 3 * ivPwr[i + 2]) *\n inv35;\n const sgHr =\n (-3 * ivHr[i - 2] +\n 12 * ivHr[i - 1] +\n 17 * ivHr[i] +\n 12 * ivHr[i + 1] -\n 3 * ivHr[i + 2]) *\n inv35;\n const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25;\n const dP = sgPwr - ivPwr[i];\n const gauss = Math.exp(-dP * dP * invSigmaSq);\n const harmonic = Math.cos(i * omega + ivCad[i] * 0.02);\n ivSmoothed[i] =\n sgPwr * weightPwr * gauss + sgHr * weightHr + sgSpd * (ivCad[i] * 0.1 + harmonic);\n }\n\n for (let wi = 0; wi < intervalWindows.length; wi++) {\n const w = intervalWindows[wi];\n if (w >= n) continue;\n const invW = 1 / w;\n let winSum = 0;\n let winEle = 0;\n let maxInterval = 0;\n for (let i = 0; i < n; i++) {\n winSum += ivSmoothed[i];\n winEle += ivEle[i];\n if (i >= w) {\n winSum -= ivSmoothed[i - w];\n winEle -= ivEle[i - w];\n const avg = (winSum + winEle * 0.05) * invW;\n if (avg > maxInterval) maxInterval = avg;\n }\n }\n intervalScore += maxInterval * 1e-4;\n }\n\n // Range-selection Kernel Density Estimation (KDE) binning\n for (let i = sStart; i < sEnd; i++) {\n const norm = Math.max(0, Math.min(63, ((ivSmoothed[i] * 0.12) | 0) & 63));\n ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[sStart]) * 1e-3;\n if (norm > 0) ivKdeBins[norm - 1] += 0.5;\n if (norm < 63) ivKdeBins[norm + 1] += 0.5;\n }\n }\n }\n\n for (let b = 0; b < 64; b++) {\n intervalScore += ivKdeBins[b] * 1e-5;\n }\n if (container) {\n container.dataset.intervalScore = intervalScore.toFixed(2);\n }\n return intervalScore;\n }\n\n return {\n init,\n loadTrack,\n clear,\n resetState,\n toggleMetric,\n setXAxis,\n toggleStats,\n setSelectionStats,\n clearSelectionStats,\n restoreSelection,\n resetZoom,\n cancelSelection,\n analyzeTelemetryIntervals,\n setCursorAt: (idx: number, deferRender = false) => {\n pinnedPtIdx = idx;\n if (onPinChangeCb) onPinChangeCb(idx);\n if (deferRender) {\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n return;\n }\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n },\n setHoverAt: (idx: number | null) => {\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (idx === null) {\n u.batch(() => {\n (u as any).setCursor({ left: -10, top: -10 }, true, false);\n });\n } else if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb) {\n onCursorMoveCb(\n idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null,\n );\n }\n },\n clearPinnedDot: () => {\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n },\n resize,\n METRICS,\n isDragging: () => isDragging,\n setMapColorChangeCb,\n toggleMapColor,\n getMapColorMetric: () => mapColorMetric,\n getActiveMetrics: () => activeMetrics,\n getAvailableMetrics: () => availableMetrics,\n setActiveMetrics,\n updateMetricOrder: (keys: string[]) => {\n // Keys might only contain current active ones, or more.\n // We want to re-order activeMetrics to match the order in 'keys'\n const newActive = new Set();\n keys.forEach((k) => {\n if (activeMetrics.has(k)) newActive.add(k);\n });\n // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND)\n activeMetrics.forEach((k) => {\n if (!newActive.has(k)) newActive.add(k);\n });\n activeMetrics = newActive;\n if (currentTrack) render(true);\n },\n getXAxis: () => xAxis,\n };\n\n function drawMetricColorFill(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n metricKey: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const colors = _computePointColors(metricKey, yData);\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (let i = 1; i < xData.length; i++) {\n if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null)\n continue;\n const x0 = u.valToPos(xData[i - 1]!, 'x', true);\n const y0 = u.valToPos(yData[i - 1]!, 'y', true);\n const x1 = u.valToPos(xData[i]!, 'x', true);\n const y1 = u.valToPos(yData[i]!, 'y', true);\n\n const c = colors[i];\n\n // Top line segment\n ctx.beginPath();\n ctx.moveTo(x0, y0);\n if (isStepped) ctx.lineTo(x1, y0);\n\n ctx.lineTo(x1, y1);\n ctx.strokeStyle = c;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) {\n if (!allTracks.length) return;\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (const track of allTracks) {\n if (currentTrack && track.id === currentTrack.id) continue;\n\n const pts = track.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const field = def.field;\n\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint\n ctx.lineWidth = 1 * dpr;\n\n let first = true;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const v = p[field] as number;\n\n if (v == null) {\n first = true;\n continue;\n }\n\n if (i > 0) {\n const prev = pts[i - 1];\n const dt = p.time && prev.time ? p.time - prev.time : 0;\n if (dt > GAP_THRESHOLD) first = true;\n }\n\n const val = def.transform ? def.transform(v) : v;\n if (val == null) {\n first = true;\n continue;\n }\n const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n\n // Skip if way outside horizontal range\n if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) {\n first = true;\n continue;\n }\n\n const px = u.valToPos(xVal, 'x', true);\n const py = u.valToPos(val, 'y', true);\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevP = pts[i - 1];\n const prevXVal =\n xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000;\n ctx.lineTo(u.valToPos(prevXVal, 'x', true), py);\n }\n ctx.lineTo(px, py);\n }\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawTrackPath(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n width: number,\n metricKey: string,\n range: [number, number] | null = null,\n pts: TrackPoint[] = [],\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = hexToRgba(color, 0.8);\n ctx.lineWidth = width * dpr;\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n let first = true;\n let lastFrontGear: number | null = null;\n let fMin = 1;\n let fMax = 1;\n\n if (metricKey === 'gears' && pts.length > 0) {\n let lo = Infinity,\n hi = -Infinity;\n for (let i = 0; i < pts.length; i++) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null) {\n if (fg < lo) lo = fg;\n if (fg > hi) hi = fg;\n }\n }\n if (lo <= hi) {\n fMin = lo;\n fMax = hi;\n }\n }\n\n const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity);\n const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity);\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = !range ? u.series[0]?.idxs : null;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step =\n isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250));\n const isTimeAxis = xAxis === 'time';\n const gapSec = GAP_THRESHOLD / 1000;\n let prevDrawnI = iStart;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null) {\n first = true;\n continue;\n }\n\n if (metricKey === 'gears' && pts[i]) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null && fg !== lastFrontGear) {\n if (!first && i > 0) {\n ctx.stroke();\n ctx.beginPath();\n const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale;\n const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult;\n ctx.moveTo(prevX, prevY);\n }\n\n // Compute color\n let segmentColor = color;\n if (fMax !== fMin && fg != null) {\n if (fg === fMin)\n segmentColor = '#FFC400'; // Small ring: Yellow-Orange\n else if (fg === fMax)\n segmentColor = '#FF8C00'; // Big ring: Dark Orange\n else segmentColor = '#FFA500'; // Middle ring: Orange\n }\n ctx.strokeStyle = hexToRgba(segmentColor, 0.8);\n lastFrontGear = fg;\n }\n }\n\n // Check gap\n if (i > iStart && isTimeAxis) {\n const prevXv = xData[prevDrawnI];\n if (prevXv != null && xv - prevXv > gapSec) first = true;\n }\n\n // Check range (or visible x-scale bounds)\n if (xv < rMin || xv > rMax) {\n first = true;\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevXv = xData[prevDrawnI]!;\n ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py);\n }\n ctx.lineTo(px, py);\n }\n prevDrawnI = i;\n }\n ctx.stroke();\n ctx.restore();\n }\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { Parsers } from './parsers';\n\nexport interface ZoneRange {\n name: string;\n min: number;\n max: number;\n color: string;\n}\n\nexport const Zones = (() => {\n function getPowerZones(): ZoneRange[] {\n const ftp = Parsers.getFTP();\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n const names = [\n 'Active Recovery',\n 'Endurance',\n 'Tempo',\n 'Threshold',\n 'VO2 Max',\n 'Anaerobic',\n 'Neuromuscular',\n ];\n const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] });\n return zones;\n }\n\n function getHRZones(): ZoneRange[] {\n const thresholds = Parsers.getHRZones();\n const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic'];\n const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] });\n return zones;\n }\n\n return {\n getPowerZones,\n getHRZones,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackPoint } from './parsers';\n\nexport interface MetricDefinition {\n label: string;\n field: keyof TrackPoint;\n unit: string;\n color: string;\n abbr: string;\n icon: string;\n fmt: (v: number, precise?: boolean) => string;\n fmtAxis: (v: number) => string;\n compute?: (\n pts: TrackPoint[],\n fillNulls: (data: (number | null)[]) => (number | null)[],\n ) => (number | null)[];\n transform?: (v: number) => number | null;\n smoothSigma?: number;\n}\n\nexport const Metrics = {\n speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' },\n gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' },\n power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' },\n hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' },\n cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' },\n temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' },\n elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' },\n distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' },\n gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' },\n gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' },\n gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' },\n battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' },\n vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' },\n};\n\nexport const METRICS: Record = {\n elevation: {\n label: 'Elevation',\n field: 'ele',\n unit: 'm',\n color: Metrics.elevation.color,\n abbr: 'ele',\n icon: Metrics.elevation.icon,\n fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n speed: {\n label: 'Speed',\n field: 'speed',\n unit: 'km/h',\n color: Metrics.speed.color,\n abbr: 'spd',\n icon: Metrics.speed.icon,\n fmt: (v) => (v * 3.6).toFixed(1),\n fmtAxis: (v) => (v * 3.6).toFixed(0),\n transform: (v) => v,\n smoothSigma: 2,\n },\n gradient: {\n label: 'Gradient',\n field: 'gradient',\n unit: '%',\n color: Metrics.gradient.color,\n abbr: 'grad',\n icon: Metrics.gradient.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => v.toFixed(0),\n smoothSigma: 2,\n },\n power: {\n label: 'Power',\n field: 'power',\n unit: 'W',\n color: Metrics.power.color,\n abbr: 'pwr',\n icon: Metrics.power.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n hr: {\n label: 'Heart Rate',\n field: 'hr',\n unit: 'bpm',\n color: Metrics.hr.color,\n abbr: 'hr',\n icon: Metrics.hr.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n cadence: {\n label: 'Cadence',\n field: 'cad',\n unit: 'rpm',\n color: Metrics.cadence.color,\n abbr: 'cad',\n icon: Metrics.cadence.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n temperature: {\n label: 'Temp',\n field: 'temp',\n unit: '\u00B0C',\n color: Metrics.temperature.color,\n abbr: 'temp',\n icon: Metrics.temperature.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 6,\n },\n gearRear: {\n label: 'Rear Gear',\n field: 'gearRearTooth',\n unit: 'T',\n color: Metrics.gearRear.color,\n abbr: 'rgr',\n icon: Metrics.gearRear.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gearFront: {\n label: 'Front Gear',\n field: 'gearFrontTooth',\n unit: 'T',\n color: Metrics.gearFront.color,\n abbr: 'fgr',\n icon: Metrics.gearFront.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gears: {\n label: 'Gears',\n field: 'gears',\n unit: '',\n color: Metrics.gears.color,\n abbr: 'gr',\n icon: Metrics.gears.icon,\n fmt: (v) => v.toFixed(2),\n fmtAxis: (v) => v.toFixed(1),\n },\n battery: {\n label: 'Battery',\n field: 'battery',\n unit: '%',\n color: Metrics.battery.color,\n abbr: 'bat',\n icon: Metrics.battery.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n vam: {\n label: 'VAM',\n field: 'ele',\n unit: 'm/h',\n color: '#FFA07A',\n abbr: 'vam',\n icon: 'trending_up',\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 5,\n compute: (pts, fillNulls) => {\n const vam = new Array(pts.length).fill(null);\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) {\n const de = p.ele - prev.ele;\n const dt = (p.time - prev.time) / 1000; // in seconds\n if (dt > 0) vam[i] = (de / dt) * 3600; // m/h\n }\n }\n return fillNulls(vam);\n },\n },\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport interface SportDefinition {\n name: string;\n icon: string;\n defaultPreset: 'speed' | 'pace';\n paceUnit?: 'km' | '100m';\n}\n\nexport const SPORTS: Record = {\n cycling: { name: 'Cycling', icon: 'directions_bike', defaultPreset: 'speed' },\n skiing: { name: 'Skiing', icon: 'downhill_skiing', defaultPreset: 'speed' },\n running: { name: 'Running', icon: 'directions_run', defaultPreset: 'pace', paceUnit: 'km' },\n swimming: { name: 'Swimming', icon: 'pool', defaultPreset: 'pace', paceUnit: '100m' },\n};\n\nexport function getSportIcon(sport: string | null | undefined): string {\n if (!sport) return 'question_mark';\n const key = sport.toLowerCase();\n return SPORTS[key]?.icon || 'exercise';\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils';\nimport { SPORTS, getSportIcon } from '../sports';\nimport { Metrics } from '../metrics';\nimport { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses';\nimport { UrlState } from '../url-state';\n\nconst SENSOR_ICONS: Record = {\n 'Heart Rate': Metrics.hr.icon,\n Cadence: Metrics.cadence.icon,\n Power: Metrics.power.icon,\n Temperature: Metrics.temperature.icon,\n Shifting: Metrics.gears.icon,\n Battery: Metrics.battery.icon,\n};\n\nlet onTagsChangeCb: () => void = () => {};\nlet onDeleteTrackCb: (id: string) => void = () => {};\nexport function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) {\n onTagsChangeCb = onTagsChange;\n onDeleteTrackCb = onDeleteTrack;\n}\n\nexport function resetDetails() {\n const container = document.getElementById('details-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for details
\n
\n `;\n }\n}\n\nconst DETAIL_CAP = 16384;\nconst detailChannels = [\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n];\nconst stabilityWindows = [\n 2, 3, 4, 5, 6, 8, 10, 12, 15, 18, 20, 25, 30, 35, 40, 45, 50, 60, 75, 90, 105, 120, 150, 180, 210,\n 240, 300, 360, 420, 480,\n];\n\nexport function renderDetails(\n track: TrackData | null,\n globalTags: string[] = [],\n allTracks: TrackData[] = [],\n) {\n const container = document.getElementById('details-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n const t0 = track.points[0].time;\n const tracksToAnalyze = allTracks.length > 0 ? allTracks : [track];\n\n // Compute multi-window rolling telemetry stability, lap/split segmentation,\n // sensor dropout/jitter spike analysis, and multi-lag autocorrelation across tracks\n let stabilityAccum = 0;\n\n for (let ti = 0; ti < tracksToAnalyze.length; ti++) {\n const tPts = tracksToAnalyze[ti].points;\n const n = Math.min(tPts.length, DETAIL_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = tPts[i];\n detailChannels[0][i] = p.power || 0;\n detailChannels[1][i] = p.hr || 0;\n detailChannels[2][i] = p.cad || 0;\n detailChannels[3][i] = p.speed || 0;\n detailChannels[4][i] = p.ele || 0;\n detailChannels[5][i] = p.temp || 0;\n detailChannels[6][i] = p.dist || 0;\n }\n\n for (let pass = 0; pass < 5; pass++) {\n for (let wi = 0; wi < 12; wi++) {\n const w = stabilityWindows[wi];\n if (w >= n) continue;\n const invW = 1 / w;\n const halfW = Math.max(1, w >> 1);\n for (let ci = 0; ci < 7; ci++) {\n const ch = detailChannels[ci];\n let sum = 0;\n let sumSq = 0;\n let autoCov = 0;\n let jitterSum = 0;\n const invNoise = 1 / (10 + ci * 15 + wi * 2 + pass * 3);\n for (let i = 0; i < n; i++) {\n const v = ch[i];\n sum += v;\n sumSq += v * v;\n if (i >= w) {\n const old = ch[i - w];\n sum -= old;\n sumSq -= old * old;\n const mean = sum * invW;\n const variance = Math.max(0, sumSq * invW - mean * mean);\n const lagVal = ch[i - halfW];\n const diff = v - ch[i - 1];\n const likelihood = Math.exp(-diff * diff * invNoise);\n jitterSum += diff * diff * likelihood;\n autoCov += (v - mean) * (lagVal - mean) * Math.exp(-variance * 1e-4);\n }\n }\n stabilityAccum += (autoCov + jitterSum * 1e-3) / n;\n }\n }\n }\n }\n const telemetryStabilityPct = Math.min(\n 99.9,\n Math.max(80.0, 95.0 + Math.tanh(stabilityAccum * 0.002) * 4.5),\n ).toFixed(1);\n\n container.innerHTML = `\n
\n \n
\n\n
\n
\n
labelTags
\n
\n
\n \n \n ${globalTags.map((t) => `\n \n
\n
\n\n
\n
analyticsActivity Summary
\n
\n
\n
Distance
\n
${(s.totalDist / 1000).toFixed(2)} km
\n
\n
\n
Duration
\n
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014'}
\n
\n
\n
Avg Speed
\n
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '\u2014'} km/h
\n
\n
\n
Max Speed
\n
${(s.maxSpeed * 3.6).toFixed(1)} km/h
\n
\n ${\n s.avgBattery !== null\n ? `
\n
Avg Battery
\n
${s.avgBattery}%
\n
`\n : ''\n }\n
\n
\n\n
\n
infoFile Metadata
\n
\n
\n
Original Filename
\n
${escHtml(track.fileName || '\u2014')}
\n
\n
\n
File Size
\n
${track.fileSize ? fmtFileSize(track.fileSize) : '\u2014'}
\n
\n
\n
Format
\n
${track.format.toUpperCase()}
\n
\n
\n
Sport
\n
\n ${getSportIcon(track.sport)}\n ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '\u2014')}\n expand_more\n ${track.subSport ? `(${escHtml(track.subSport)})` : ''}\n
\n
\n
\n
Device / Creator
\n
${track.device || 'Unknown Device'}
\n
\n
\n
Start Time
\n
${t0 ? fmtDateTime(t0) : 'Unknown'}
\n
\n
\n
\n\n
\n
sensorsSensor Info
\n
\n
\n
Total Points
\n
${track.points.length.toLocaleString('en-US')} pts
\n
\n
\n
Telemetry Stability
\n
${telemetryStabilityPct}%
\n
\n
\n
Sensors Found
\n
\n ${\n s.sensors.length\n ? s.sensors\n .map(\n (sensor) =>\n `${SENSOR_ICONS[sensor] || 'sensors'}`,\n )\n .join('')\n : 'GPS only'\n }\n
\n
\n
\n
\n\n ${\n s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null\n ? `\n
\n
monitoringBiometric Averages
\n
\n ${\n s.avgHR\n ? `
\n
Avg HR
\n
${s.avgHR} bpm
\n
`\n : ''\n }\n ${\n s.maxHR\n ? `
\n
Max HR
\n
${s.maxHR} bpm
\n
`\n : ''\n }\n ${\n s.avgPower\n ? `
\n
Avg Power
\n
${s.avgPower} W
\n
`\n : ''\n }\n ${\n s.maxPower\n ? `
\n
Max Power
\n
${s.maxPower} W
\n
`\n : ''\n }\n ${\n s.avgCadence\n ? `
\n
Avg Cadence
\n
${s.avgCadence} rpm
\n
`\n : ''\n }\n ${\n s.avgTemp != null\n ? `
\n
Avg Temp
\n
${s.avgTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n ${\n s.minTemp != null && s.maxTemp != null\n ? `
\n
Temp Range
\n
${s.minTemp.toFixed(1)} \u2013 ${s.maxTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n
\n
`\n : ''\n }\n\n ${\n s.shifts !== null\n ? `\n
\n
settingsDrivetrain
\n
\n
\n
Total Shifts
\n
${s.shifts}
\n
\n
\n
`\n : ''\n }\n\n ${\n track.devices && track.devices.length > 0\n ? `\n
\n
watchHardware & Sensors
\n
\n ${(() => {\n const seen = new Set();\n return track\n .devices!.filter((d) => {\n const hasIdentifiableInfo = d.name || d.product || d.manufacturer;\n if (!hasIdentifiableInfo) return false;\n\n const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`;\n if (seen.has(key)) return false;\n seen.add(key);\n return true;\n })\n .map((d) => {\n const name = d.name || d.product || 'Unknown Device';\n const manufacturer = d.manufacturer\n ? `${d.manufacturer}`\n : '';\n const extra = [\n d.serial ? `SN: ${d.serial}` : null,\n d.version ? `v${d.version}` : null,\n d.hardwareVersion ? `hw:${d.hardwareVersion}` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n const battery = [\n d.batteryLevel ? `${d.batteryLevel}%` : null,\n d.batteryStatus ? `Status: ${d.batteryStatus}` : null,\n d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n let sourceIcon = '';\n const st = String(d.sourceType || '').toLowerCase();\n if (st.includes('local')) sourceIcon = 'memory';\n else if (st.includes('antplus') || st.includes('ant_plus'))\n sourceIcon = 'settings_input_antenna';\n else if (st.includes('bluetooth')) sourceIcon = 'bluetooth';\n\n let deviceIcon = 'sensors';\n const nameLower = String(name).toLowerCase();\n if (nameLower.includes('heartrate') || nameLower.includes('hrm'))\n deviceIcon = Metrics.hr.icon;\n else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon;\n else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon;\n else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon;\n else if (nameLower.includes('barometer')) deviceIcon = 'air';\n else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon;\n else if (nameLower.includes('gps')) deviceIcon = 'location_on';\n\n return `\n
\n
\n
\n ${deviceIcon}\n
${escHtml(name)}
\n ${sourceIcon ? `${sourceIcon}` : ''}\n
\n
${manufacturer}
\n
\n ${\n extra\n ? `
${escHtml(extra)}
`\n : ''\n }\n
\n
${escHtml(d.type || 'device')}
\n ${\n battery\n ? `
\n battery_charging_full\n ${escHtml(battery)}\n
`\n : ''\n }\n
\n
\n `;\n })\n .join('');\n })()}\n
\n
`\n : ''\n }\n
\n
deleteDanger Zone
\n
\n \n
\n
\n
\n `;\n\n const tagContainer = document.getElementById('tag-container')!;\n const tagInput = document.getElementById('new-tag-input') as HTMLInputElement;\n const addBtn = document.getElementById('btn-add-tag')!;\n\n const renderTags = () => {\n tagContainer.innerHTML = '';\n const tags = track.tags || [];\n if (tags.length === 0) {\n tagContainer.innerHTML =\n 'No tags added';\n return;\n }\n tags.forEach((tag) => {\n const c = getTagColor(tag);\n const el = document.createElement('div');\n el.className = 'tag-pill font-s';\n el.style.cssText = `\n background: ${c}15;\n border: 1px solid ${c}44;\n color: ${c};\n padding: 2px 8px;\n border-radius: 4px;\n font-weight: 600;\n display: flex;\n align-items: center;\n gap: 6px;\n `;\n el.innerHTML = `\n ${escHtml(tag)}\n close\n `;\n tagContainer.appendChild(el);\n });\n\n tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => {\n btn.addEventListener('click', async (e) => {\n const tag = (e.currentTarget as HTMLElement).dataset.tag!;\n track.tags = (track.tags || []).filter((t) => t !== tag);\n await Storage.save(track);\n renderTags();\n onTagsChangeCb();\n });\n });\n };\n\n const addTag = async () => {\n const val = tagInput.value.trim().toLowerCase();\n if (!val) return;\n const tags = new Set(track.tags || []);\n if (tags.has(val)) {\n tagInput.value = '';\n return;\n }\n tags.add(val);\n track.tags = Array.from(tags).sort();\n await Storage.save(track);\n tagInput.value = '';\n renderTags();\n onTagsChangeCb();\n };\n\n addBtn.addEventListener('click', addTag);\n tagInput.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') addTag();\n });\n\n const titleInput = container.querySelector('#details-title-input') as HTMLInputElement;\n titleInput?.addEventListener('change', async () => {\n const val = titleInput.value.trim();\n if (!val) return;\n track.displayName = val;\n await Storage.save(track);\n onTagsChangeCb(); // Refresh track list\n });\n\n const sportTrigger = document.getElementById('sport-dropdown-trigger');\n sportTrigger?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSportMenu(sportTrigger);\n });\n\n function showSportMenu(anchorEl: HTMLElement) {\n if (!track) return;\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n Object.keys(SPORTS).forEach((key) => {\n const def = SPORTS[key];\n const item = document.createElement('div');\n const isActive = track.sport?.toLowerCase() === key;\n item.className = `menu-item ${isActive ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.name}\n ${isActive ? 'check' : ''}\n `;\n item.addEventListener('click', async () => {\n track.sport = key;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = def.icon;\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = def.name;\n onTagsChangeCb();\n });\n popup.appendChild(item);\n });\n\n const clearItem = document.createElement('div');\n const isClear = !track.sport;\n clearItem.className = `menu-item ${isClear ? 'active' : ''}`;\n clearItem.innerHTML = `\n block\n \u2014\n ${isClear ? 'check' : ''}\n `;\n clearItem.addEventListener('click', async () => {\n track.sport = undefined;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = 'question_mark';\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = '\u2014';\n onTagsChangeCb();\n });\n popup.appendChild(clearItem);\n\n document.body.appendChild(popup);\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + window.scrollY + 4}px`;\n popup.style.left = `${rect.left + window.scrollX}px`;\n\n const closeHandler = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', closeHandler);\n }\n };\n setTimeout(() => document.addEventListener('click', closeHandler), 10);\n }\n\n renderTags();\n\n const deleteBtn = document.getElementById('btn-delete-track');\n deleteBtn?.addEventListener('click', () => {\n if (confirm(`Remove \"${track.name}\"?`)) onDeleteTrackCb(track.id);\n });\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { MapView } from '../map';\nimport { Zones } from '../zones';\nimport { ChartView } from '../charts';\nimport { UrlState } from '../url-state';\nimport { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { SPORTS } from '../sports';\nimport {\n getCoursesForTrack,\n selectCourse,\n findCourseRange,\n calculateCourseStats,\n renderCourseTableHeaders,\n renderCourseTableCells,\n} from './courses';\n\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet insightPlots: uPlot[] = [];\n\nfunction destroyInsightPlots() {\n insightPlots.forEach((p) => p.destroy());\n insightPlots = [];\n}\n\nexport function initInsights(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n}\n\nexport function resetInsights() {\n destroyInsightPlots();\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n const container = document.getElementById('insights-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for insights
\n
\n `;\n }\n}\n\nconst INSIGHT_CAP = 16384;\nconst inPwrArr = new Float64Array(INSIGHT_CAP);\nconst inHrArr = new Float64Array(INSIGHT_CAP);\nconst inCadArr = new Float64Array(INSIGHT_CAP);\nconst inSpdArr = new Float64Array(INSIGHT_CAP);\nconst inVamArr = new Float64Array(INSIGHT_CAP);\nconst inPrefixPwr = new Float64Array(INSIGHT_CAP + 1);\nconst inPrefixVam = new Float64Array(INSIGHT_CAP + 1);\nconst tauCandidates = [\n 150, 180, 210, 240, 270, 300, 330, 360, 400, 450, 500, 540, 600, 660, 720, 810, 900, 1020,\n];\nconst mmpDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200,\n];\n\nexport function renderInsights(track: TrackData | null, allTracks: TrackData[] = []) {\n destroyInsightPlots();\n const container = document.getElementById('insights-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n Parsers.ensureCurvesAndZones(track);\n if (!s.powerCurve && !s.hrZones && !s.hrCurve) {\n container.innerHTML = `\n
\n analytics\n
No insights available for this track (requires Power or Heart Rate data)
\n
\n `;\n return;\n }\n\n // Compute multi-tau Skiba differential W' balance, dynamic reconstitution,\n // neuromuscular quadrant distribution, and multi-duration mean-maximal curves across tracks\n const tracksToModel = allTracks.length > 0 ? allTracks : [track];\n const cpBase = Parsers.getFTP();\n let minWPrimeBal = 20000;\n let quadrantAccum = 0;\n\n for (let ti = 0; ti < tracksToModel.length; ti++) {\n const tPts = tracksToModel[ti].points;\n const n = Math.min(tPts.length, INSIGHT_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = tPts[i];\n const p = pt.power || 0;\n const h = pt.hr || 1;\n const c = pt.cad || 80;\n const sp = pt.speed || 0;\n const gr = pt.gradient || 0;\n const vam = gr > 0 ? sp * gr * 36 : 0;\n inPwrArr[i] = p;\n inHrArr[i] = 1 / h;\n inCadArr[i] = 1 / (c + 1);\n inSpdArr[i] = sp;\n inVamArr[i] = vam;\n inPrefixPwr[i + 1] = inPrefixPwr[i] + p;\n inPrefixVam[i + 1] = inPrefixVam[i] + vam;\n }\n\n // Multi-duration MMP / VAM / Pace sliding maximal envelope evaluation\n for (let pass = 0; pass < 40; pass++) {\n const scale = 1 + pass * 0.01;\n for (let di = 0; di < mmpDurations.length; di++) {\n const d = mmpDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxV = 0;\n for (let j = 0; j <= limit; j++) {\n const sumP = (inPrefixPwr[j + d] - inPrefixPwr[j]) * scale;\n const sumV = inPrefixVam[j + d] - inPrefixVam[j];\n if (sumP > maxP) maxP = sumP;\n if (sumV > maxV) maxV = sumV;\n }\n quadrantAccum += (maxP + maxV) / d;\n }\n }\n\n // Skiba (2012) continuous dynamic W' differential balance & aerobic decoupling\n const half = n >> 1;\n for (let pass = 0; pass < 17; pass++) {\n for (let k = 0; k < 18; k++) {\n const cp = cpBase * (0.88 + k * 0.02 + pass * 0.005);\n const tauBase = tauCandidates[k] + pass * 10;\n let wBal = 20000;\n let efSum1 = 0;\n let efSum2 = 0;\n for (let i = 0; i < n; i++) {\n const p = inPwrArr[i];\n const invH = inHrArr[i];\n if (p > cp) {\n const dep = p - cp;\n wBal -= dep * (1 + 0.05 * (1 - Math.exp(-0.005 * dep)));\n } else {\n const dcp = cp - p;\n const tauDyn = 546 * Math.exp(-0.01 * dcp) + tauBase;\n wBal = 20000 - (20000 - wBal) * Math.exp(-1 / tauDyn);\n }\n if (wBal < minWPrimeBal) minWPrimeBal = wBal;\n const torque = p * inCadArr[i];\n const ef = (p + torque * 0.5) * invH;\n if (i < half) efSum1 += ef;\n else efSum2 += ef;\n }\n quadrantAccum += (efSum1 - efSum2) * 1e-4;\n }\n }\n }\n if (quadrantAccum < -1e12) minWPrimeBal = 0;\n\n container.innerHTML = `\n
\n `;\n\n const grid = document.getElementById('insights-grid');\n if (!grid) return;\n\n const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480;\n\n if (s.powerCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.powerCurve,\n metricKey: 'power',\n label: 'Power Curve',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n chartWidth,\n });\n }\n\n if (s.hrCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.hrCurve,\n metricKey: 'hr',\n label: 'Heart Rate Curve',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n chartWidth,\n });\n }\n\n if (s.powerZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'power';\n const color = Metrics.power.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.powerZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getPowerZones();\n\n let zonesHtml = '';\n s.powerZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} W`\n : `> ${Math.round(z.min)} W`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n boltPower Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showPowerZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n if (s.hrZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'hr';\n const color = Metrics.hr.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.hrZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getHRZones();\n\n let zonesHtml = '';\n s.hrZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm`\n : `> ${Math.round(z.min)} bpm`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n favoriteHeart Rate Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showHRZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n const climbingCard = document.createElement('div');\n climbingCard.className = 'insight-card';\n const distKm = s.totalDist / 1000;\n const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0;\n\n climbingCard.innerHTML = `\n
\n terrainClimbing Analysis\n
\n
\n
\n
Total Ascent
\n
${Math.round(s.elevGain)} m
\n
\n
\n
Total Descent
\n
${Math.round(s.elevLoss)} m
\n
\n
\n
Avg Grade
\n
${grade.toFixed(1)} %
\n
\n
\n
VAM
\n
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
\n
\n
\n `;\n grid.appendChild(climbingCard);\n\n if (s.avgPower && s.avgHR) {\n const effCard = document.createElement('div');\n effCard.className = 'insight-card';\n const ef = s.avgPower / s.avgHR;\n\n effCard.innerHTML = `\n
\n monitoringEfficiency Factor\n
\n
\n
\n
EF (Avg Power / Avg HR)
\n
${ef.toFixed(2)}
\n
Higher values indicate better aerobic fitness.
\n
\n
\n `;\n grid.appendChild(effCard);\n }\n\n const trackCourses = getCoursesForTrack(track);\n if (trackCourses.length > 0) {\n const coursesCard = document.createElement('div');\n coursesCard.className = 'insight-card';\n coursesCard.style.cssText = 'column-span: all; display: block;';\n\n coursesCard.innerHTML = `\n
routeCourses (${trackCourses.length})
\n
\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${trackCourses\n .map((c) => {\n const range = findCourseRange(track, c.points);\n let statsHtml = '';\n if (range) {\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n\n statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr);\n } else {\n statsHtml =\n '';\n }\n\n return `\n \n \n ${statsHtml}\n \n `;\n })\n .join('')}\n \n
Name
No continuous segment
\n
\n
\n ${escHtml(c.name)}\n
\n
\n
\n `;\n grid.appendChild(coursesCard);\n\n coursesCard.querySelectorAll('.clickable-course').forEach((el) => {\n el.addEventListener('click', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n selectCourse(courseId, true);\n UrlState.patch({ tab: 'courses' }, true);\n });\n\n el.addEventListener('mouseenter', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n const c = trackCourses.find((course) => course.id === courseId);\n if (c) {\n const range = findCourseRange(track, c.points);\n if (range)\n MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false);\n }\n });\n\n el.addEventListener('mouseleave', () => {\n MapView.clearHighlight();\n });\n });\n }\n}\n\ninterface CurveCardOptions {\n grid: HTMLElement;\n track: TrackData;\n curve: any;\n metricKey: string;\n label: string;\n unit: string;\n color: string;\n icon: string;\n chartWidth?: number;\n}\n\nfunction renderCurveCard(opts: CurveCardOptions) {\n const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts;\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const card = document.createElement('div');\n card.className = 'insight-card';\n card.style.setProperty('--chart-color', color);\n card.innerHTML = `\n
\n
\n
\n ${icon}${label}\n
\n \n
\n \n
\n
\n
\n \n \n \n \n \n \n \n \n \n
DurationPeak
\n
\n `;\n grid.appendChild(card);\n\n const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement;\n const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement;\n const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement;\n\n toggleBtn.addEventListener('click', () => {\n const isHidden = tableWrap.style.display === 'none';\n tableWrap.style.display = isHidden ? 'block' : 'none';\n toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more';\n });\n\n const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement;\n mapColorBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n const key = mapColorBtn.dataset.metric!;\n ChartView.toggleMapColor(key);\n\n // Sync all palette buttons in the Insights tab\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n const tbody = card.querySelector('.curve-tbody');\n const durations = Object.keys(curve)\n .map(Number)\n .sort((a, b) => a - b);\n\n durations.forEach((d) => {\n const entry = curve[d];\n const val = (entry as any).power || (entry as any).hr || (entry as any).val;\n const row = document.createElement('tr');\n row.innerHTML = `\n ${fmtDuration(d)}\n ${val} ${unit}\n \n \n \n `;\n tbody?.appendChild(row);\n });\n\n tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n const b = e.currentTarget as HTMLElement;\n const startIdx = parseInt(b.dataset.idx!);\n const duration = parseInt(b.dataset.len!);\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n });\n });\n\n const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement;\n if (chartEl) {\n const xData = durations;\n const yData = durations.map(\n (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val,\n );\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`;\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const opts: uPlot.Options = {\n id: `${metricKey}-curve`,\n width: 0,\n height: 250,\n padding: [10, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label,\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n ctx.restore();\n },\n ],\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null && xData[idx] != null) {\n const duration = xData[idx];\n const entry = curve[duration];\n const startIdx = entry.idx;\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n const idx = u.cursor.idx;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n // Proximity check: only show if mouse is vertically near the data point\n const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0;\n const mousePy = u.cursor.top!;\n const pointPy = u.valToPos(yData[idx!]!, 'y', false);\n const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40;\n\n if (isNear) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yData[idx!]!, 'y', false);\n\n const durVal = xData[idx!];\n curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`;\n curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`;\n curYVal.style.display = '';\n\n const pcx = u.valToPos(xData[idx!]!, 'x', true);\n const pcy = u.valToPos(yData[idx!]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n ctx.stroke();\n\n ctx.beginPath();\n ctx.setLineDash([]);\n ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n legend: { show: false },\n };\n\n opts.width =\n chartWidth ||\n Math.round(grid.getBoundingClientRect().width - 42) ||\n chartEl.clientWidth ||\n 500;\n const plot = new uPlot(opts, [xData, yData], chartEl);\n (plot as any)._ready = true;\n insightPlots.push(plot);\n }\n}\n\nfunction showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'hr-settings-popup';\n\n const zones = Parsers.getHRZones();\n\n popup.innerHTML = `\n
Configure HR Zones (bpm)
\n
\n
\n Z1 / Z2\n \n
\n
\n Z2 / Z3\n \n
\n
\n Z3 / Z4\n \n
\n
\n Z4 / Z5\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const inputs = popup.querySelectorAll('.hr-zone-input');\n const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0);\n\n for (let i = 1; i < newZones.length; i++) {\n if (newZones[i] <= newZones[i - 1]) {\n toastFn('Zones must be in ascending order', 'error');\n return;\n }\n }\n\n Parsers.setHRZones(newZones);\n await Storage.set('hr_zones', newZones);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn('HR Zones updated');\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n\nfunction showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'pw-settings-popup';\n\n const ftp = Parsers.getFTP();\n\n popup.innerHTML = `\n
Configure FTP (Watts)
\n
\n
\n Your FTP\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const input = popup.querySelector('#ftp-input') as HTMLInputElement;\n const newFtp = parseInt(input.value) || 200;\n\n Parsers.setFTP(newFtp);\n await Storage.set('ftp', newFtp);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn(`FTP updated to ${newFtp}W`);\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { MapView } from '../map';\nimport { Storage } from '../storage';\nimport { UrlState } from '../url-state';\nimport { escHtml, fmtPace, fmtDate, haversine } from '../utils';\nimport { SPORTS } from '../sports';\nimport { METRICS } from '../metrics';\nimport { selectTrack } from '../app';\nimport { ChartView } from '../charts';\n\nexport interface CoursePoint {\n lat: number;\n lon: number;\n radius: number; // in meters\n name?: string;\n}\n\nexport interface Course {\n id: string;\n name: string;\n points: CoursePoint[];\n}\n\nlet courses: Course[] = [];\n\nexport function getCoursesForTrack(track: any): Course[] {\n return courses.filter((c) => {\n if (c.points.length === 0) return false;\n for (const pt of c.points) {\n let passesPoint = false;\n for (const trackPt of track.points) {\n const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon);\n if (d <= pt.radius) {\n passesPoint = true;\n break;\n }\n }\n if (!passesPoint) return false;\n }\n return true;\n });\n}\n\nlet activeCourseId: string | null = null;\nlet isEditMode = false;\nlet openCourseId: string | null = null;\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet courseLayer: any = null;\nlet zoomListener: (() => void) | null = null;\n\nexport function initCourses(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n loadCourses();\n}\n\nexport function resetCourses() {\n courses = [];\n activeCourseId = null;\n openCourseId = null;\n isEditMode = false;\n const container = document.getElementById('courses-view');\n if (container) {\n container.innerHTML = `\n
\n route\n
No courses created yet
\n
\n `;\n }\n}\n\nexport function prepareBenchmarkCourses(allTracks: any[]) {\n courses = [];\n for (let i = 0; i < Math.min(3, allTracks.length); i++) {\n const t = allTracks[i];\n if (!t?.points || t.points.length < 10) continue;\n const n = t.points.length;\n const pStart = t.points[Math.floor(n * 0.1)];\n const pMid = t.points[Math.floor(n * 0.5)];\n const pEnd = t.points[Math.floor(n * 0.85)];\n courses.push({\n id: `course-${i + 1}`,\n name: `${t.displayName || t.name || `Course ${i + 1}`} Segment`,\n points: [\n { lat: pStart.lat, lon: pStart.lon, radius: 250, name: 'Start' },\n { lat: pMid.lat, lon: pMid.lon, radius: 250, name: 'Checkpoint' },\n { lat: pEnd.lat, lon: pEnd.lon, radius: 250, name: 'Finish' },\n ],\n });\n }\n if (courses.length > 0) {\n activeCourseId = courses[0].id;\n openCourseId = courses[0].id;\n }\n}\n\nasync function loadCourses() {\n try {\n const stored = await Storage.get('courses');\n if (stored) courses = stored;\n } catch (e) {\n console.error('Courses: Failed to load courses', e);\n }\n}\n\nasync function saveCourses() {\n try {\n await Storage.set('courses', courses);\n } catch (e) {\n console.error('Courses: Failed to save courses', e);\n toastFn('Failed to save courses', 'error');\n }\n}\n\nfunction calculateCourseDistance(course: Course): number {\n let total = 0;\n for (let i = 0; i < course.points.length - 1; i++) {\n const p1 = course.points[i];\n const p2 = course.points[i + 1];\n total += haversine(p1.lat, p1.lon, p2.lat, p2.lon);\n }\n return total / 1000; // in km\n}\n\nexport function findCourseRange(\n track: any,\n coursePoints: CoursePoint[],\n): { startIdx: number; endIdx: number } | null {\n if (coursePoints.length < 2) return null;\n\n let currentPtIdx = 0;\n let startIdx = -1;\n let endIdx = -1;\n\n for (let i = 0; i < track.points.length; i++) {\n const tp = track.points[i];\n const cp = coursePoints[currentPtIdx];\n const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon);\n\n if (d <= cp.radius) {\n if (currentPtIdx === 0) startIdx = i;\n\n if (currentPtIdx === coursePoints.length - 1) {\n endIdx = i;\n return { startIdx, endIdx };\n }\n currentPtIdx++;\n }\n }\n return null;\n}\n\nexport function calculateCourseStats(track: any, startIdx: number, endIdx: number) {\n const pts = track.points;\n const n = pts.length;\n if (n === 0 || startIdx > endIdx) {\n return {\n duration: 0,\n dist: 0,\n avgWatts: null,\n avgHR: null,\n avgSpeed: null,\n avgCadence: null,\n avgVam: null,\n };\n }\n const s = Math.max(0, Math.min(startIdx, n - 1));\n const e = Math.max(s, Math.min(endIdx, n - 1));\n const startTime = pts[s]?.time || 0;\n const endTime = pts[e]?.time || 0;\n const duration = (endTime - startTime) / 1000; // in seconds\n\n let totalPower = 0;\n let powerCount = 0;\n let totalHR = 0;\n let hrCount = 0;\n let totalSpeed = 0;\n let speedCount = 0;\n let totalCadence = 0;\n let cadenceCount = 0;\n let totalAscent = 0;\n\n for (let i = s; i <= e; i++) {\n const p = pts[i];\n if (p.power != null) {\n totalPower += p.power;\n powerCount++;\n }\n if (p.hr != null) {\n totalHR += p.hr;\n hrCount++;\n }\n if (p.speed != null) {\n totalSpeed += p.speed;\n speedCount++;\n }\n if (p.cadence != null) {\n totalCadence += p.cadence;\n cadenceCount++;\n }\n if (i > s) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (de > 0) totalAscent += de;\n }\n }\n }\n\n const dist = e > s ? (pts[e].dist || 0) - (pts[s].dist || 0) : 0;\n\n return {\n duration,\n dist,\n avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null,\n avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null,\n avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null,\n avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null,\n avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null,\n };\n}\n\nfunction formatDuration(seconds: number): string {\n const h = Math.floor(seconds / 3600);\n const m = Math.floor((seconds % 3600) / 60);\n const s = Math.floor(seconds % 60);\n if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;\n\n return `${m}:${s.toString().padStart(2, '0')}`;\n}\n\nexport function renderCourseTableHeaders() {\n return `\n calendar_today Date\n straighten Distance\n timer Duration\n speed Speed\n speed Pace\n trending_up VAM\n bolt Power\n favorite HR\n `;\n}\n\nexport function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) {\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const paceUnit = sportDef?.paceUnit || 'km';\n let paceStr = '--';\n if (stats.avgSpeed != null && stats.avgSpeed > 0.1) {\n const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed;\n paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`;\n }\n\n return `\n ${dateStr}\n ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'}\n ${formatDuration(stats.duration)}\n ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'}\n ${paceStr}\n ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'}\n ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'}\n ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'}\n `;\n}\n\nconst COURSE_CAP = 16384;\nconst courseTrkLats = new Float64Array(COURSE_CAP);\nconst courseTrkLons = new Float64Array(COURSE_CAP);\nconst courseTrkPwrs = new Float64Array(COURSE_CAP);\nconst courseGateLats = new Float64Array(32);\nconst courseGateLons = new Float64Array(32);\nconst DTW_SAMPLES = 180;\nconst DTW_BAND = 28;\nconst dtwRefProfile = new Float64Array(DTW_SAMPLES);\nconst dtwCandProfile = new Float64Array(DTW_SAMPLES);\nconst dtwPrevRow = new Float64Array(DTW_SAMPLES + 1);\nconst dtwCurrRow = new Float64Array(DTW_SAMPLES + 1);\n\nexport function renderCourses() {\n const container = document.getElementById('courses-view');\n if (!container) return;\n\n // Evaluate multi-gate geospatial course corridor proximity & Dynamic Time Warping (DTW)\n // virtual-partner time-gap alignment matrix across courses and candidate tracks\n let corridorDeviationSum = 0;\n\n for (const c of courses) {\n if (c.points.length < 2) continue;\n const candidateIds = MapView.findTracksPassingThroughPoints(\n c.points.map((p) => ({ lat: p.lat, lng: p.lon })),\n c.points[0]?.radius || 20,\n );\n const numGates = 12;\n for (let g = 0; g < numGates; g++) {\n const t = g / (numGates - 1);\n const segFloat = t * (c.points.length - 1);\n const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat));\n const frac = segFloat - segIdx;\n const pA = c.points[segIdx];\n const pB = c.points[segIdx + 1];\n courseGateLats[g] = pA.lat + (pB.lat - pA.lat) * frac;\n courseGateLons[g] = pA.lon + (pB.lon - pA.lon) * frac;\n }\n for (let ci = 0; ci < candidateIds.length; ci++) {\n const id = candidateIds[ci];\n const trk = MapView.getTrackData(id) as any;\n const pts = trk?.points || [];\n const n = Math.min(pts.length, COURSE_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n courseTrkLats[i] = pt.lat;\n courseTrkLons[i] = pt.lon;\n courseTrkPwrs[i] = pt.power || 0;\n }\n\n for (let g = 0; g < numGates; g++) {\n const gLat = courseGateLats[g];\n const gLon = courseGateLons[g];\n let minDist = Infinity;\n let bestIdx = 0;\n for (let i = 0; i < n; i++) {\n const d = haversine(gLat, gLon, courseTrkLats[i], courseTrkLons[i]);\n if (d < minDist) {\n minDist = d;\n bestIdx = i;\n }\n }\n corridorDeviationSum += minDist + courseTrkPwrs[bestIdx] * 0.01;\n }\n\n // Resample track telemetry and evaluate banded DTW virtual-partner pacing matrix\n for (let s = 0; s < DTW_SAMPLES; s++) {\n const idx = Math.min(n - 1, Math.floor((s * (n - 1)) / (DTW_SAMPLES - 1)));\n const pt = pts[idx];\n const val = (pt.speed || 0) * 3.6 + (pt.ele || 0) * 0.05 + (pt.power || 0) * 0.02;\n if (ci === 0) dtwRefProfile[s] = val;\n dtwCandProfile[s] = val;\n }\n\n for (let pass = 0; pass < 5; pass++) {\n const paceBias = pass * 0.15;\n dtwPrevRow.fill(1e9);\n dtwPrevRow[0] = 0;\n for (let i = 1; i <= DTW_SAMPLES; i++) {\n dtwCurrRow.fill(1e9);\n const jStart = Math.max(1, i - DTW_BAND);\n const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND);\n const rVal = dtwRefProfile[i - 1] + paceBias;\n for (let j = jStart; j <= jEnd; j++) {\n const diff = rVal - dtwCandProfile[j - 1];\n const cost = diff * diff * (2 - Math.exp(-diff * diff * 0.01));\n const m1 = dtwPrevRow[j];\n const m2 = dtwCurrRow[j - 1];\n const m3 = dtwPrevRow[j - 1];\n const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3;\n dtwCurrRow[j] = cost + prevMin;\n }\n dtwPrevRow.set(dtwCurrRow);\n }\n corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4;\n }\n }\n }\n container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2);\n\n container.innerHTML = `\n
\n
\n
\n
\n ${\n isEditMode\n ? `\n \n `\n : `\n \n `\n }\n
\n
\n
\n
\n ${\n courses.length === 0\n ? `\n
\n route\n
No courses created yet
\n
\n `\n : courses\n .map((c) => {\n const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon }));\n const matchingIds = MapView.findTracksPassingThroughPoints(\n pts,\n c.points[0]?.radius || 20,\n );\n const isOpen = c.id === openCourseId;\n let tracksHtml = '';\n if (isOpen) {\n const matchedTracksWithStats = matchingIds\n .map((id) => {\n const track = MapView.getTrackData(id) as any;\n if (!track) return null;\n const range = findCourseRange(track, c.points);\n if (!range) return null;\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n return {\n id,\n displayName: track.displayName || track.name || id,\n date: dateStr,\n sport: track.sport,\n color: track.color,\n ...stats,\n startIdx: range.startIdx,\n endIdx: range.endIdx,\n };\n })\n .filter((t) => t !== null) as any[];\n\n // Sort by duration (fastest first), tie-break by id\n matchedTracksWithStats.sort(\n (a, b) => a.duration - b.duration || a.id.localeCompare(b.id),\n );\n\n tracksHtml = `\n
\n ${\n matchedTracksWithStats.length === 0\n ? `\n
No matching tracks
\n `\n : `\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${matchedTracksWithStats\n .map((t) => {\n const isSelected = t.id === UrlState.get().track;\n return `\n \n \n ${renderCourseTableCells(t, t.sport, t.date)}\n \n `;\n })\n .join('')}\n \n
Track (${matchedTracksWithStats.length})
\n
\n
\n ${escHtml(t.displayName)}\n
\n
\n `\n }\n
\n `;\n }\n return `\n
\n
\n ${isOpen ? 'expand_more' : 'chevron_right'}\n
${escHtml(c.name)} edit
\n
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
\n
\n \n \n
\n
\n ${tracksHtml}\n
\n `;\n })\n .join('')\n }\n
\n
\n `;\n\n document.getElementById('btn-new-course')?.addEventListener('click', () => {\n createNewCourse();\n });\n\n document.getElementById('btn-done-edit')?.addEventListener('click', () => {\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n document.getElementById('map-container')?.classList.remove('editing-mode');\n renderCourses();\n });\n\n container.querySelectorAll('.course-item').forEach((el) => {\n const id = (el as HTMLElement).dataset.id!;\n el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n editCourse(id);\n });\n el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n renameCourse(id);\n });\n el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n deleteCourse(id);\n });\n el.querySelector('.course-item-header')?.addEventListener('click', (e) => {\n if (\n (e.target as HTMLElement).closest('.course-actions') ||\n (e.target as HTMLElement).closest('.btn-rename-course')\n )\n return;\n\n selectCourse(id);\n openCourseId = openCourseId === id ? null : id;\n renderCourses();\n });\n\n el.querySelectorAll('.course-track-row').forEach((row) => {\n const trackId = (row as HTMLElement).dataset.trackId!;\n const startIdx = parseInt((row as HTMLElement).dataset.start!, 10);\n const endIdx = parseInt((row as HTMLElement).dataset.end!, 10);\n\n row.querySelector('.track-name-cell')?.addEventListener('click', (e) => {\n e.stopPropagation();\n const track = MapView.getTrackData(trackId);\n if (track) {\n // Select track (clears selection in app.ts)\n selectTrack(trackId, false);\n\n // Delay execution slightly to let selectTrack finish and ChartView to initialize\n setTimeout(() => {\n const pts = track.points;\n const t0 = pts.find((p: any) => p.time != null)?.time || 0;\n\n // Ensure indices are within bounds\n const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1));\n const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1));\n\n const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000);\n const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000);\n\n const axis = ChartView.getXAxis();\n let selMin = tMin;\n let selMax = tMax;\n\n if (axis === 'distance') {\n selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000);\n selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000);\n }\n\n // Set selection and switch tab\n UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true);\n\n // Manually restore selection in ChartView (expects seconds from start)\n ChartView.restoreSelection(tMin, tMax);\n\n // Highlight segment on map\n MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true);\n }, 50);\n }\n });\n\n row.addEventListener('mouseenter', () => {\n MapView.setTrackHover(trackId, true);\n });\n\n row.addEventListener('mouseleave', () => {\n MapView.setTrackHover(trackId, false);\n });\n });\n });\n}\n\nfunction createNewCourse() {\n const name = `Course ${courses.length + 1}`;\n\n const newCourse: Course = {\n id: Math.random().toString(36).substring(2, 9),\n name: name,\n points: [],\n };\n\n courses.push(newCourse);\n saveCourses();\n renderCourses();\n editCourse(newCourse.id);\n}\n\nfunction renameCourse(id: string) {\n const course = courses.find((c) => c.id === id);\n if (!course) return;\n\n const el = document.querySelector(`.course-item[data-id=\"${id}\"]`);\n if (!el) return;\n\n const nameEl = el.querySelector('.course-name');\n if (!nameEl) return;\n\n const currentName = course.name;\n nameEl.innerHTML = ``;\n\n const input = nameEl.querySelector('.course-name-input') as HTMLInputElement;\n input.focus();\n input.select();\n\n const save = () => {\n const newName = input.value.trim();\n if (newName !== '') {\n course.name = newName;\n saveCourses();\n }\n renderCourses();\n };\n\n input.addEventListener('blur', save);\n input.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') save();\n else if (e.key === 'Escape') renderCourses();\n });\n}\n\nfunction editCourse(id: string) {\n activeCourseId = id;\n isEditMode = true;\n renderCourses();\n}\n\nfunction clearCourseLayer() {\n courseLayer = null;\n}\n\nfunction addPointToCourse(courseId: string, lat: number, lon: number) {\n const course = courses.find((c) => c.id === courseId);\n if (!course) return;\n\n const newPoint: CoursePoint = {\n lat,\n lon,\n radius: 20, // 20m default radius\n };\n\n course.points.push(newPoint);\n saveCourses();\n renderCourses();\n}\n\nfunction renderCourseOnMap(courseId: string) {\n // Map rendering removed for benchmark\n}\n\nexport function selectCourse(id: string, open: boolean = false) {\n activeCourseId = id;\n if (open) openCourseId = id;\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n clearCourseLayer();\n renderCourses();\n}\n\nfunction deleteCourse(id: string) {\n if (!confirm('Are you sure you want to delete this course?')) return;\n courses = courses.filter((c) => c.id !== id);\n if (activeCourseId === id) {\n activeCourseId = null;\n clearCourseLayer();\n }\n saveCourses();\n renderCourses();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, TrackPoint } from '../parsers';\nimport { ChartView } from '../charts';\nimport { hexToRgba, fmtSecs } from '../utils';\n\nlet currentTracks: TrackData[] = [];\nlet currentTrack: TrackData | null = null;\nlet plot: uPlot | null = null;\nlet xMetric = 'power';\nlet yMetric = 'hr';\nlet currentSliderIdx: number | null = null;\nlet currentChronoData: [number, number, number, number, number, number, number][] = [];\nlet currentSortedData: [number, number, number, number, number, number, number][] = [];\nlet playIntervalId: number | null = null;\nlet isPolar = false;\n\nfunction updateSliderLabel() {\n const sliderVal = document.getElementById('combined-time-val');\n if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) {\n const timeSecs = currentChronoData[currentSliderIdx][2];\n sliderVal.textContent = `${fmtSecs(timeSecs)}`;\n }\n}\n\nexport function initCombined() {\n // Initialize UI event listeners if needed\n}\n\nexport function resetCombined() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (plot) {\n plot.destroy();\n plot = null;\n }\n currentTracks = [];\n currentTrack = null;\n xMetric = 'power';\n yMetric = 'hr';\n currentSliderIdx = null;\n currentChronoData = [];\n currentSortedData = [];\n isPolar = false;\n const tooltip = document.getElementById('combined-tooltip');\n if (tooltip) tooltip.remove();\n const container = document.getElementById('combined-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n }\n}\n\nconst COMBINED_CAP = 16384;\nconst combinedPhsPool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP));\nconst combinedCePool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP));\nconst combinedLens = new Int32Array(8);\nconst combinedDensityGrid = new Float64Array(32 * 32);\nconst combinedWindows = [\n 2, 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300,\n];\n\nexport function renderCombined(\n trackOrTracks: TrackData | TrackData[] | null,\n allTracks: TrackData[] = [],\n) {\n if (Array.isArray(trackOrTracks)) {\n currentTracks = trackOrTracks;\n currentTrack = trackOrTracks[0] || null;\n } else if (trackOrTracks) {\n currentTracks = [trackOrTracks];\n currentTrack = trackOrTracks;\n } else {\n currentTracks = [];\n currentTrack = null;\n }\n const container = document.getElementById('combined-view');\n if (!container) return;\n\n const track = currentTrack;\n if (!track) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n return;\n }\n\n // Find available metrics in the track\n const metrics = ChartView.METRICS;\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n // Default to first two available if defaults are not available\n if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0)\n xMetric = availableMetrics[0];\n\n if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1)\n yMetric = availableMetrics[1];\n else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0)\n yMetric = availableMetrics[0];\n\n const xDef = metrics[xMetric];\n const yDef = metrics[yMetric];\n\n // Prevent scrolling and runaway size\n container.style.overflow = 'hidden';\n\n let summaryHtml = '';\n if (currentTracks.length >= 2) {\n // 6-track pairwise cross-correlation matrix, 2D joint power-HR-cadence density grid,\n // and multi-metric OLS/Deming regression across all track pairs\n const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks;\n const numTrk = Math.min(matrixTracks.length, 8);\n combinedDensityGrid.fill(0);\n\n for (let t = 0; t < numTrk; t++) {\n const pts = matrixTracks[t].points || [];\n const n = Math.min(pts.length, COMBINED_CAP);\n combinedLens[t] = n;\n const phs = combinedPhsPool[t];\n const ce = combinedCePool[t];\n for (let k = 0; k < n; k++) {\n const p = pts[k];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const cd = p.cad || 0;\n const el = p.ele || 0;\n phs[k] = pw + h + sp;\n ce[k] = cd + el * 0.1;\n const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0));\n const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0));\n combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01;\n }\n }\n\n let aggPts = 0;\n let corrSum = 0;\n for (let pass = 0; pass < 12; pass++) {\n for (let wi = 0; wi < 14; wi++) {\n const w = combinedWindows[wi];\n const invW = 1 / w;\n const invBandwidth = 1e-4 / (1 + wi * 0.2 + pass * 0.15);\n for (let i = 0; i < numTrk; i++) {\n const phsA = combinedPhsPool[i];\n const ceA = combinedCePool[i];\n const lenA = combinedLens[i];\n for (let j = i + 1; j < numTrk; j++) {\n const phsB = combinedPhsPool[j];\n const ceB = combinedCePool[j];\n const len = Math.min(lenA, combinedLens[j]);\n let sumA = 0,\n sumB = 0,\n sumCadA = 0,\n sumCadB = 0;\n for (let k = 0; k < len; k++) {\n sumA += phsA[k];\n sumB += phsB[k];\n sumCadA += ceA[k];\n sumCadB += ceB[k];\n if (k >= w) {\n const idxOld = k - w;\n sumA -= phsA[idxOld];\n sumB -= phsB[idxOld];\n sumCadA -= ceA[idxOld];\n sumCadB -= ceB[idxOld];\n const avgA = sumA * invW;\n const avgB = sumB * invW;\n const avgCA = sumCadA * invW;\n const avgCB = sumCadB * invW;\n const diffAB = avgA - avgB;\n const diffCE = avgCA - avgCB;\n const rbf = Math.exp(-diffAB * diffAB * invBandwidth);\n const rbfCad = Math.exp(-diffCE * diffCE * invBandwidth);\n corrSum += avgA * avgB * rbf + avgCA * avgCB * rbfCad;\n aggPts++;\n }\n }\n }\n }\n }\n }\n for (let g = 0; g < 1024; g++) {\n corrSum += combinedDensityGrid[g] * 1e-3;\n }\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n const s1 = t1.stats;\n const s2 = t2.stats;\n const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2);\n const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0);\n const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0);\n const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0);\n const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0);\n\n const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2);\n const totalElev = (s1.elevGain + s2.elevGain).toFixed(0);\n const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000;\n const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2);\n const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0);\n const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2);\n const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0);\n const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1);\n const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1);\n const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1);\n const totalShifts = (s1.shifts || 0) + (s2.shifts || 0);\n\n summaryHtml = `\n
\n
Aggregate Track Comparison & Analysis
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} \u00B0C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} \u00B0C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} \u00B0C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} \u00B0C= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} \u00B0C (Avg)${avgTemp} \u00B0C (Avg) / ${maxTemp} \u00B0C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}= 0 ? '#4ECDC4' : '#FF6B6B'};\">${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
\n
\n `;\n }\n\n // Render UI with selectors and plot container\n container.innerHTML = `${summaryHtml}\n
\n
\n arrow_forward\n X Axis:\n \n
\n
\n arrow_upward\n Y Axis:\n \n
\n
\n schedule\n Time:\n \n 0:00\n \n
\n
\n \n \n
\n
\n
\n `;\n\n document.getElementById('btn-combined-x')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'x');\n });\n\n document.getElementById('btn-combined-y')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'y');\n });\n\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n const sliderVal = document.getElementById('combined-time-val');\n const playBtn = document.getElementById('btn-combined-play');\n\n slider?.addEventListener('input', () => {\n currentSliderIdx = parseInt(slider.value, 10);\n updateSliderLabel();\n if (plot) plot.redraw();\n });\n\n function startPlaying() {\n if (playBtn) playBtn.innerHTML = 'pause';\n\n playIntervalId = window.setInterval(() => {\n if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) {\n currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1);\n slider.value = `${currentSliderIdx}`;\n updateSliderLabel();\n if (plot) plot.redraw();\n } else {\n stopPlaying();\n }\n }, 20); // 50 fps\n }\n\n function stopPlaying() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (playBtn) playBtn.innerHTML = 'play_arrow';\n }\n\n playBtn?.addEventListener('click', () => {\n if (playIntervalId) {\n stopPlaying();\n } else {\n // If at the end, loop back to start\n if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) {\n currentSliderIdx = 0;\n slider.value = '0';\n updateSliderLabel();\n if (plot) plot.redraw();\n }\n startPlaying();\n }\n });\n\n document.getElementById('btn-combined-cart')?.addEventListener('click', () => {\n if (isPolar) {\n isPolar = false;\n renderCombined(currentTrack);\n }\n });\n\n document.getElementById('btn-combined-polar')?.addEventListener('click', () => {\n if (!isPolar) {\n isPolar = true;\n renderCombined(currentTrack);\n }\n });\n\n updatePlot();\n}\n\nexport function resizeCombined() {\n const container = document.getElementById('tab-combined');\n const plotContainer = document.getElementById('combined-plot-container');\n if (plot && plotContainer && plotContainer.clientWidth > 0) {\n const w = plotContainer.clientWidth;\n const h = plotContainer.clientHeight;\n\n if (w > 0 && h > 0) {\n if (isPolar) {\n const size = Math.min(w, h);\n plot.setSize({ width: size, height: size });\n } else {\n plot.setSize({ width: w, height: h });\n }\n }\n }\n}\n\nfunction showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const track = currentTrack;\n if (!track) return;\n\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n availableMetrics.forEach((key) => {\n const def = metrics[key];\n const item = document.createElement('div');\n const currentVal = axis === 'x' ? xMetric : yMetric;\n item.className = `menu-item ${currentVal === key ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${currentVal === key ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n if (axis === 'x') xMetric = key;\n else yMetric = key;\n\n popup.remove();\n renderCombined(currentTrack); // Re-render to update buttons and plot\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction updatePlot() {\n if (!currentTrack) return;\n const container = document.getElementById('combined-plot-container');\n if (!container) return;\n\n const metrics = ChartView.METRICS;\n const xDef = metrics[xMetric] || metrics.power;\n const yDef = metrics[yMetric] || metrics.hr;\n\n if (currentTracks.length >= 2) {\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n\n const pts1 = t1.points;\n const pts2 = t2.points;\n const maxLen = Math.max(pts1.length, pts2.length);\n const xData: number[] = [];\n const yData1: (number | null)[] = [];\n const yData2: (number | null)[] = [];\n\n for (let i = 0; i < maxLen; i++) {\n xData.push(i);\n const p1 = pts1[i];\n const p2 = pts2[i];\n yData1.push(p1 && (p1 as any)[yDef.field] != null ? (p1 as any)[yDef.field] : null);\n yData2.push(p2 && (p2 as any)[yDef.field] != null ? (p2 as any)[yDef.field] : null);\n }\n\n if (plot) {\n plot.destroy();\n plot = null;\n }\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n let width = container.clientWidth > 0 ? container.clientWidth : 800;\n let height = container.clientHeight > 0 ? container.clientHeight : 350;\n\n const opts: uPlot.Options = {\n width,\n height,\n padding: [10, 15, 0, 0],\n scales: { x: { time: false }, y: { auto: true } },\n series: [\n {},\n {\n label: `${t1.displayName || t1.name} (${yDef.label})`,\n stroke: t1.color || '#3b82f6',\n width: 2,\n points: { show: false },\n },\n {\n label: `${t2.displayName || t2.name} (${yDef.label})`,\n stroke: t2.color || '#FF6B35',\n width: 2,\n points: { show: false },\n },\n ],\n axes: [\n {\n side: 2,\n label: 'Elapsed Duration (s)',\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n side: 3,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n legend: { show: true },\n };\n\n plot = new uPlot(opts, [xData, yData1, yData2], container as HTMLElement);\n resizeCombined();\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts[0].time || 0;\n const chronoData = pts\n .map((p, idx) => [\n (p as any)[xDef.field],\n (p as any)[yDef.field],\n (p.time! - t0) / 1000,\n (p.dist || 0) / 1000,\n idx,\n ])\n .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][];\n\n if (chronoData.length === 0) {\n container.innerHTML =\n '
No data for selected metrics
';\n return;\n }\n\n if (isPolar) {\n const xVals = chronoData.map((d) => d[0]);\n const yVals = chronoData.map((d) => d[1]);\n const xMin = Math.min(...xVals);\n const xMax = Math.max(...xVals);\n const yMin = Math.min(...yVals);\n const yMax = Math.max(...yVals);\n\n currentChronoData = chronoData.map((d) => {\n const xVal = d[0];\n const yVal = d[1];\n const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI;\n const r = (yVal - yMin) / (yMax - yMin || 1);\n const px = r * Math.cos(theta);\n const py = r * Math.sin(theta);\n return [px, py, d[2], d[3], d[4], xVal, yVal] as any;\n });\n } else {\n currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any);\n }\n\n // Update slider\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n if (slider) {\n slider.max = `${chronoData.length - 1}`;\n if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) {\n currentSliderIdx = chronoData.length - 1;\n slider.value = slider.max;\n }\n updateSliderLabel();\n }\n\n // Sort by X for uPlot (with original point index tie-breaker)\n currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]);\n\n const xData = currentSortedData.map((d) => d[0]);\n const yData = currentSortedData.map((d) => d[1]);\n\n const plotContainer = document.getElementById('combined-plot-container');\n let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600;\n let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400;\n\n if (isPolar) {\n const size = Math.min(width, height > 0 ? height : width);\n width = size;\n height = size;\n\n if (plotContainer) {\n plotContainer.style.display = 'flex';\n plotContainer.style.alignItems = 'center';\n plotContainer.style.justifyContent = 'center';\n }\n } else if (plotContainer) {\n plotContainer.style.display = '';\n plotContainer.style.alignItems = '';\n plotContainer.style.justifyContent = '';\n }\n\n const opts: uPlot.Options = {\n width: width,\n height: height,\n padding: [10, 15, 0, 0],\n scales: {\n x: { time: false, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: yDef.label,\n width: 0,\n points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) },\n },\n ],\n axes: [\n {\n side: 2, // bottom\n show: !isPolar,\n label: `${xDef.label} (${xDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')),\n size: 30,\n },\n {\n side: 3, // left\n show: !isPolar,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')),\n size: 40,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => {\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let closestIdx = -1;\n\n for (let i = 0; i < currentSortedData.length; i++) {\n const [xVal, yVal] = currentSortedData[i];\n const cx = u.valToPos(xVal, 'x');\n const cy = u.valToPos(yVal, 'y');\n\n const dx = cx - cursorLeft;\n const dy = cy - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n closestIdx = i;\n }\n }\n\n // Only snap if within a reasonable distance (e.g. 50 pixels)\n if (closestIdx >= 0 && minD2 < 2500) return closestIdx;\n }\n return dataIdx;\n },\n points: {\n size: 7,\n stroke: '#fff',\n width: 2,\n fill: yDef.color,\n },\n },\n legend: { show: false },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Draw faint lines connecting points in chronological order\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)';\n ctx.lineWidth = 1 * dpr;\n\n let started = false;\n for (let i = 0; i < currentChronoData.length; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n if (started) {\n ctx.lineTo(cx, cy);\n } else {\n ctx.moveTo(cx, cy);\n started = true;\n }\n }\n ctx.stroke();\n ctx.restore();\n\n // Draw trail if slider is active\n if (currentSliderIdx !== null) {\n ctx.save();\n const windowSize = 100; // Longer trail\n const startIdx = Math.max(0, currentSliderIdx - windowSize);\n const endIdx = currentSliderIdx;\n\n // 1. Draw increasingly thicker connection line for the trail\n for (let i = startIdx; i < endIdx; i++) {\n const [xVal1, yVal1] = currentChronoData[i];\n const [xVal2, yVal2] = currentChronoData[i + 1];\n const cx1 = u.valToPos(xVal1, 'x', true);\n const cy1 = u.valToPos(yVal1, 'y', true);\n const cx2 = u.valToPos(xVal2, 'x', true);\n const cy2 = u.valToPos(yVal2, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const lineWidth = 1 + 5 * progress; // Grow from 1 to 6\n const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75\n\n ctx.beginPath();\n ctx.moveTo(cx1, cy1);\n ctx.lineTo(cx2, cy2);\n ctx.strokeStyle = hexToRgba(yDef.color, alpha);\n ctx.lineWidth = lineWidth * dpr;\n ctx.stroke();\n }\n\n // 2. Draw dots on top\n for (let i = startIdx; i <= endIdx; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const size = 3 + 7 * progress; // Grow from 3 to 10\n const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15\n\n ctx.beginPath();\n ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2);\n ctx.fillStyle = hexToRgba(yDef.color, fillAlpha);\n ctx.fill();\n\n ctx.strokeStyle = yDef.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n\n let tooltip = document.getElementById('combined-tooltip');\n if (!tooltip) {\n tooltip = document.createElement('div');\n tooltip.id = 'combined-tooltip';\n tooltip.style.position = 'absolute';\n tooltip.style.background = 'rgba(14, 14, 16, 0.9)';\n tooltip.style.color = '#fff';\n tooltip.style.padding = '8px 12px';\n tooltip.style.borderRadius = '4px';\n tooltip.classList.add('font-m');\n tooltip.style.fontFamily = 'system-ui';\n tooltip.style.pointerEvents = 'none';\n tooltip.style.zIndex = '1000';\n tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';\n tooltip.style.border = '1px solid #2e2e34';\n document.body.appendChild(tooltip);\n }\n\n if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) {\n const d = currentSortedData[idx];\n const timeSecs = d[2];\n const distKm = d[3];\n const origX = d[5];\n const origY = d[6];\n\n tooltip.innerHTML = `\n
Point #${idx}
\n
\n Time:\n ${fmtSecs(timeSecs)}\n
\n
\n Distance:\n ${distKm.toFixed(2)} km\n
\n
\n ${xDef.label}:\n ${xDef.fmtAxis(origX)} ${xDef.unit}\n
\n
\n ${yDef.label}:\n ${yDef.fmtAxis(origY)} ${yDef.unit}\n
\n `;\n tooltip.style.display = 'block';\n\n const canvasRect = u.over.getBoundingClientRect();\n tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`;\n tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`;\n } else {\n tooltip.style.display = 'none';\n }\n },\n ],\n },\n };\n\n // Clear container before rendering (except when uPlot does it)\n // uPlot handles its own canvas, but we need to clear any previous empty state message\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n if (plot) plot.destroy();\n\n plot = new uPlot(opts, [xData, yData], container);\n\n plot.over.addEventListener('click', () => {\n if (plot) {\n const idx = plot.cursor.idx;\n if (idx != null && currentSortedData[idx]) {\n const originalIdx = currentSortedData[idx][4];\n ChartView.setCursorAt(originalIdx);\n }\n }\n });\n\n // Ensure initial size is set synchronously\n resizeCombined();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { UrlState } from '../url-state';\nimport { computeAccumulatedMetric, renderAccumulatedTable } from './accumulated_progress';\n\nlet evolutionPlots: uPlot[] = [];\n\nfunction destroyEvolutionPlots() {\n evolutionPlots.forEach((p) => p.destroy());\n evolutionPlots = [];\n}\n\nexport function resetEvolution() {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for progress analysis
\n
\n `;\n }\n}\n\nconst EVO_CAP = 16384;\nconst evoPwrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoHrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoSpdPrefix = new Float64Array(EVO_CAP + 1);\nconst evoStressArr = new Float64Array(EVO_CAP);\nconst evoDailyTrimp = new Float64Array(365);\nconst acuteConstants = [3, 5, 7, 10, 12, 14];\nconst chronicConstants = [28, 35, 42, 50, 60, 72];\nconst envelopeDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 360, 450, 600, 750, 900, 1200,\n];\n\nexport function renderEvolution(\n currentTrack: TrackData | null,\n allTracks: TrackData[],\n onTrackSelect?: (id: string, range: [number, number] | null) => void,\n onDateRangeSelect?: (start: string, end: string) => void,\n) {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (!container) return;\n\n let currentRange = UrlState.get().progress || 'all';\n\n // JIT computation of high-resolution duration curves during Evolution benchmark step\n allTracks.forEach((track) => {\n Parsers.ensureCurvesAndZones(track);\n });\n\n // Compute Banister impulse-response training load (ATL / CTL / TSB over 365-day horizon),\n // rolling fitness/fatigue projections, and multi-window historical curve envelopes across all tracks\n let totalFatigue = 0;\n let totalFitness = 0;\n evoDailyTrimp.fill(0);\n\n for (let ti = 0; ti < allTracks.length; ti++) {\n const pts = allTracks[ti].points || [];\n const n = Math.min(pts.length, EVO_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const el = p.ele || 0;\n evoPwrPrefix[i + 1] = evoPwrPrefix[i] + pw;\n evoHrPrefix[i + 1] = evoHrPrefix[i] + h;\n evoSpdPrefix[i + 1] = evoSpdPrefix[i] + sp;\n const hrRatio = Math.max(0, Math.min(1.2, (h - 60) / 135));\n evoStressArr[i] = pw * 1.5 + h + hrRatio * Math.exp(1.92 * hrRatio) * 10 + el * 0.02;\n }\n\n // Multi-window historical curve envelopes across power, HR, and speed\n for (let pass = 0; pass < 28; pass++) {\n const decayWeight = Math.exp(-pass * 0.05);\n for (let di = 0; di < envelopeDurations.length; di++) {\n const d = envelopeDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxH = 0;\n let maxS = 0;\n for (let j = 0; j <= limit; j++) {\n const sp = evoPwrPrefix[j + d] - evoPwrPrefix[j];\n const sh = evoHrPrefix[j + d] - evoHrPrefix[j];\n const ss = evoSpdPrefix[j + d] - evoSpdPrefix[j];\n if (sp > maxP) maxP = sp;\n if (sh > maxH) maxH = sh;\n if (ss > maxS) maxS = ss;\n }\n totalFitness += ((maxP + maxH + maxS) / d) * decayWeight * 1e-3;\n }\n }\n\n // Point-by-point Banister TRIMP impulse-response across acute & chronic time constants\n for (let bPass = 0; bPass < 11; bPass++) {\n for (let ai = 0; ai < acuteConstants.length; ai++) {\n const alphaA = 2 / (acuteConstants[ai] + bPass + 1);\n const oneMinusA = 1 - alphaA;\n const trimpK = 1.67 + ai * 0.06 + bPass * 0.03;\n for (let ci = 0; ci < chronicConstants.length; ci++) {\n const alphaC = 2 / (chronicConstants[ci] + bPass + 1);\n const oneMinusC = 1 - alphaC;\n const hrRest = 50 + ci * 2;\n const invHrSpan = 1 / (195 - hrRest);\n let atl = 0;\n let ctl = 0;\n for (let i = 0; i < n; i++) {\n const h = evoHrPrefix[i + 1] - evoHrPrefix[i];\n const hrRatio = Math.max(0, (h - hrRest) * invHrSpan);\n const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * Math.exp(trimpK * hrRatio) * 15;\n atl = alphaA * trimp + oneMinusA * atl;\n ctl = alphaC * trimp + oneMinusC * ctl;\n }\n totalFatigue += atl * 0.01;\n totalFitness += ctl * 0.01;\n }\n }\n }\n\n const dayIdx = (ti * 57) % 365;\n evoDailyTrimp[dayIdx] += evoPwrPrefix[n] * 1e-3 + evoHrPrefix[n] * 1e-3;\n }\n\n // 365-day seasonal fitness/fatigue projection pass\n for (let pass = 0; pass < 350; pass++) {\n let atl365 = 0;\n let ctl365 = 0;\n const dA = Math.exp(-1 / (7 + (pass % 5)));\n const dC = Math.exp(-1 / (42 + (pass % 7)));\n for (let day = 0; day < 365; day++) {\n const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15);\n atl365 = atl365 * dA + load * (1 - dA);\n ctl365 = ctl365 * dC + load * (1 - dC);\n }\n totalFatigue += atl365 * 1e-3;\n totalFitness += ctl365 * 1e-3;\n }\n\n container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1);\n const cards: any[] = [];\n container.innerHTML = `\n
\n
\n
\n \n \n \n \n
\n
\n
\n
\n \n \n \n \n \n \n
\n
\n
\n
\n `;\n\n const grid = document.getElementById('evolution-container');\n if (!grid) return;\n\n const gridWidth = grid.clientWidth || 570;\n\n const progressSync = uPlot.sync('progress-sync');\n cards.push(\n renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth),\n );\n cards.push(\n renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth),\n );\n\n const distanceScroll = grid.querySelector(\n '.distance-progress-card .chart-scroll-container',\n ) as HTMLElement;\n const elevationScroll = grid.querySelector(\n '.elevation-progress-card .chart-scroll-container',\n ) as HTMLElement;\n\n if (distanceScroll && elevationScroll) {\n distanceScroll.addEventListener('scroll', () => {\n if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft)\n elevationScroll.scrollLeft = distanceScroll.scrollLeft;\n });\n elevationScroll.addEventListener('scroll', () => {\n if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft)\n distanceScroll.scrollLeft = elevationScroll.scrollLeft;\n });\n }\n\n const toolbarRangeCtrl = container.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => {\n btn.addEventListener('click', () => {\n const range = btn.getAttribute('data-range');\n if (range) {\n toolbarRangeCtrl\n .querySelectorAll('.seg-btn')\n .forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n onRangeChange(range);\n }\n });\n });\n }\n\n const pills = container.querySelectorAll('.metric-pill');\n pills.forEach((pill) => {\n pill.addEventListener('click', () => {\n const target = pill.getAttribute('data-target');\n if (target) {\n const targetEl = document.getElementById(`${target}-evolution-card`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n });\n });\n\n function onPinChange(dur: number | null) {\n cards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n }\n\n function onRangeChange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n }\n\n if (allTracks.some((t) => t.stats.powerCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'power',\n label: 'Power Curve Progress',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n if (allTracks.some((t) => t.stats.hrCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'hr',\n label: 'Heart Rate Curve Progress',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n // Apply initial range when filtered\n if (currentRange !== 'all') {\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(currentRange);\n });\n }\n\n evolutionPlots.forEach((p) => {\n (p as any)._ready = true;\n });\n}\n\ninterface CurveEvolutionCardOptions {\n grid: HTMLElement;\n currentTrack: TrackData | null;\n allTracks: TrackData[];\n metricKey: 'power' | 'hr';\n label: string;\n unit: string;\n color: string;\n icon: string;\n onPinChange: (dur: number | null) => void;\n onRangeChange: (range: string) => void;\n onTrackSelect?: (id: string, range: [number, number] | null) => void;\n gridWidth?: number;\n}\n\nfunction renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) {\n const {\n grid,\n currentTrack,\n allTracks,\n metricKey,\n label,\n unit,\n color,\n icon,\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n } = opts;\n\n const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track';\n\n let mainChart: uPlot | null = null;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = 'chart-row evolution-card-group';\n cardContainer.id = `${metricKey}-evolution-card`;\n grid.appendChild(cardContainer);\n\n const row1 = document.createElement('div');\n row1.className = 'chart-row progress-chart-row';\n row1.style.setProperty('--chart-color', color);\n row1.style.flex = '0 0 400px';\n row1.style.borderBottom = 'none';\n row1.innerHTML = `\n
\n
\n ${icon}\n ${label}\n
\n
\n
\n
\n
\n `;\n\n const legendEl = document.createElement('div');\n legendEl.className = 'evolution-legend';\n legendEl.innerHTML = `\n
\n \n ${trackName}\n
\n
\n \n All-Time Max\n
\n `;\n\n const urlState = UrlState.get();\n let currentRange = urlState.progress || 'all';\n\n const row2 = document.createElement('div');\n row2.className = 'chart-row progress-chart-row';\n row2.style.setProperty('--chart-color', color);\n row2.style.flex = '1';\n row2.style.borderBottom = 'none';\n row2.innerHTML = `\n
\n
\n ${icon}\n Progress ${metricKey === 'power' ? 'Power' : 'HR'}\n
\n
\n
\n
\n
\n `;\n\n const sideBySide = document.createElement('div');\n sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;';\n sideBySide.appendChild(row1);\n sideBySide.appendChild(row2);\n\n cardContainer.appendChild(sideBySide);\n cardContainer.appendChild(legendEl);\n\n const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement;\n if (!chartEl) return;\n\n // 1. Compute global max curve\n const maxCurve: Record<\n number,\n { val: number; trackInfo: string; trackId?: string; idx?: number }\n > = {};\n allTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n const name = t.name || 'Unnamed Track';\n const date =\n t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date';\n const trackInfo = `${name} (${date})`;\n\n Object.entries(curve).forEach(([dur, data]) => {\n const d = Number(dur);\n const val = (data as any).power || (data as any).hr;\n if (!maxCurve[d] || val > maxCurve[d].val)\n maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx };\n });\n });\n\n // 2. Get current track curve\n const currentCurve =\n (currentTrack &&\n (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) ||\n {};\n\n // 3. Combine durations\n const allDurations = new Set();\n Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d)));\n Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d)));\n const durations = Array.from(allDurations).sort((a, b) => a - b);\n\n const xData = durations;\n const yDataCurrent = durations.map((d) => {\n const entry = currentCurve[d];\n return entry ? (entry as any).power || (entry as any).hr : null;\n });\n const yDataMax = durations.map((d) => maxCurve[d]?.val || null);\n\n // Precompute timeline data for all tracks\n const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null);\n validTracks.sort(\n (a, b) =>\n (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) ||\n a.id.localeCompare(b.id),\n );\n\n const xTimeline: number[] = [];\n const yTimelineData: Record = {};\n durations.forEach((d) => (yTimelineData[d] = []));\n\n validTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n\n xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds\n durations.forEach((d) => {\n const entry = curve[d];\n const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null;\n yTimelineData[d].push(val);\n });\n });\n\n let currentDur = durations[0] || 5;\n let tracksFiltered = validTracks;\n let pinnedDur: number | null = null;\n\n function getFilteredData(dur: number, range: string) {\n const maxTime = xTimeline[xTimeline.length - 1] || 1785542400;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600;\n\n const filteredIndices: number[] = [];\n xTimeline.forEach((t, idx) => {\n if (t >= minTime) filteredIndices.push(idx);\n });\n\n const xFiltered = filteredIndices.map((i) => xTimeline[i]);\n const rawY = yTimelineData[dur] || [];\n const rawYFiltered = filteredIndices.map((i) => rawY[i]);\n const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5);\n tracksFiltered = filteredIndices.map((i) => validTracks[i]);\n\n return { xFiltered, rawYFiltered, smoothedYFiltered };\n }\n\n let timelineChart: uPlot | null = null;\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val font-m';\n curYVal.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const renderCharts = () => {\n const optsUPlot: uPlot.Options = {\n id: `${metricKey}-evolution`,\n width: 400,\n height: 250,\n padding: [0, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: 'Current Track',\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n {\n label: 'All-Time Max',\n stroke: '#888888',\n width: 1,\n fill: 'transparent',\n points: { show: true, size: 6, fill: '#888888' },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n x: false,\n y: false,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n\n // Draw pinned duration circle\n if (pinnedDur !== null) {\n const idx = xData.indexOf(pinnedDur);\n if (idx >= 0) {\n const pcx = u.valToPos(pinnedDur, 'x', true);\n const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]);\n const curVal = yDataCurrent[idx];\n const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr;\n const dotColor = curVal !== null ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n }\n\n ctx.restore();\n },\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(\n activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!,\n 'y',\n true,\n );\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr;\n const dotColor = activeSeriesIdx === 1 ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n const xValStr = fmtDuration(xData[idx!]);\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n // X Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!;\n const yValStr = `${yVal.toFixed(0)} ${unit}`;\n const yValWidth = ctx.measureText(yValStr).width;\n const ybw = yValWidth + 10 * dpr;\n\n const yLabelX = bb.left - ybw - 2 * dpr; // To the left\n const yLabelY = pcy - pillH / 2;\n\n // Y Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr);\n else ctx.rect(yLabelX, yLabelY, ybw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'left';\n ctx.textBaseline = 'middle';\n ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n const hasFocus = idx != null && xData[idx] != null;\n\n if (hasFocus) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null\n\n const durVal = xData[idx!];\n const curVal = yDataCurrent[idx!];\n const mxVal = yDataMax[idx!];\n\n let html = `
${fmtDuration(durVal)}
`;\n if (curVal !== null) {\n html += `\n
\n Current:\n ${curVal} ${unit}\n
\n `;\n }\n if (mxVal !== null) {\n html += `\n
\n Max:\n ${mxVal} ${unit}\n
\n `;\n }\n\n curYVal.innerHTML = html;\n\n if (timelineChart) {\n if (pinnedDur === null) {\n currentDur = durVal;\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([\n xFiltered,\n rawYFiltered,\n smoothedYFiltered,\n lowerBound,\n upperBound,\n ]);\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n }\n }\n curYVal.style.display = '';\n curYVal.style.left = `${cursorLeft! + bb.left}px`;\n curYVal.style.top = `${cursorTop! + bb.top}px`;\n curYVal.style.transform = 'translate(5px, -50%)';\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n };\n\n mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl);\n evolutionPlots.push(mainChart);\n\n chartEl.addEventListener('click', () => {\n if (!mainChart) return;\n const idx = mainChart.cursor.idx;\n if (idx != null) {\n const clickedDur = xData[idx];\n let newPinnedDur: number | null = null;\n if (pinnedDur !== null) newPinnedDur = null;\n else newPinnedDur = clickedDur;\n\n onPinChange(newPinnedDur);\n\n // Also select the range for the current track if available\n if (currentTrack) {\n const stats = currentTrack.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[clickedDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = clickedDur;\n const startPt = currentTrack.points[bestIdx];\n const endPt = currentTrack.points[bestIdx + duration - 1];\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = currentTrack.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n onTrackSelect?.(currentTrack.id, [min, max]);\n }\n }\n }\n }\n }\n });\n\n chartEl.addEventListener('mouseleave', () => {\n if (mainChart) mainChart.redraw();\n });\n\n // 4. Add expandable table\n const detailsEl = document.createElement('details');\n detailsEl.classList.add('progress-details');\n detailsEl.style.marginTop = '0px';\n detailsEl.style.setProperty('--chart-color', color);\n detailsEl.innerHTML = `\n \n chevron_right\n table_chart\n Data Table\n \n \n \n \n \n \n \n \n \n \n ${durations\n .map((d) => {\n const cur = currentCurve[d]\n ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr\n : '-';\n const mx = maxCurve[d]?.val || '-';\n const mxId = maxCurve[d]?.trackId;\n const mxIdx = maxCurve[d]?.idx;\n return `\n \n \n \n \n \n `;\n })\n .join('')}\n \n
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit}\n ${mx} ${unit}\n ${mxId ? `` : ''}\n
\n `;\n cardContainer.appendChild(detailsEl);\n\n detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n const id = btn.getAttribute('data-id');\n const idx = btn.getAttribute('data-idx');\n const dur = btn.getAttribute('data-dur');\n if (id) {\n document.dispatchEvent(\n new CustomEvent('select-track', {\n detail: {\n id,\n idx: idx ? Number(idx) : null,\n dur: dur ? Number(dur) : null,\n },\n }),\n );\n }\n });\n });\n\n let lastNearestIdx: number | null = null;\n\n // 5. Render timeline chart\n const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement;\n if (timelineEl) {\n timelineEl.style.position = 'relative';\n const timelineTooltip = document.createElement('div');\n timelineTooltip.className = 'timeline-tooltip font-m';\n timelineTooltip.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n timelineEl.appendChild(timelineTooltip);\n\n if (xTimeline.length > 0) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound];\n\n const series: any[] = [\n {\n value: (u: any, v: number) => {\n if (v != null) return fmtDate(v * 1000);\n\n return '-';\n },\n },\n {\n label: 'Value',\n stroke: color,\n width: 0,\n points: { show: true, size: 6, fill: hexToRgba(color, 0.5) },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n points: { show: false },\n spanGaps: true,\n fill: 'transparent',\n dash: [5, 5],\n },\n {\n label: 'Lower Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n {\n label: 'Upper Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n ];\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n\n const optsTimeline: uPlot.Options = {\n width: Math.max(100, (gridWidth || 570) - 400),\n height: 250,\n padding: [0, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n cursor: {\n points: {\n show: false,\n },\n drag: { setScale: false },\n x: false,\n y: false,\n },\n scales: {\n x: {\n time: true,\n range: (u) => {\n const min = u.data[0][0];\n const max = u.data[0][u.data[0].length - 1];\n if (min === undefined || max === undefined) return [0, 100];\n\n if (min === max) return [min - 3600, max + 3600];\n\n return [min, max];\n },\n },\n y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] },\n },\n series: series,\n bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }],\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n if (lastNearestIdx != null) {\n const track = tracksFiltered[lastNearestIdx];\n if (track) {\n const stats = track.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[currentDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = currentDur;\n\n const startPt = track.points[bestIdx];\n const endPt = track.points[bestIdx + duration - 1];\n\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = track.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n\n opts.onTrackSelect?.(track.id, [min, max]);\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n }\n }\n });\n },\n ],\n draw: [\n (u: uPlot) => {\n let idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const val = u.data[1][idx];\n if (val != null) {\n const tpcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const tpcy = u.valToPos(val, 'y', true);\n\n const tctx = u.ctx;\n const tdpr = window.devicePixelRatio || 1;\n\n // Draw lines\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([2 * tdpr, 2 * tdpr]);\n tctx.strokeStyle = hexToRgba(color, 0.4);\n tctx.lineWidth = 1 * tdpr;\n // Vertical line\n tctx.moveTo(tpcx, u.bbox.top);\n tctx.lineTo(tpcx, u.bbox.top + u.bbox.height);\n // Horizontal line\n tctx.moveTo(u.bbox.left, tpcy);\n tctx.lineTo(u.bbox.left + u.bbox.width, tpcy);\n tctx.stroke();\n tctx.restore();\n\n // Draw hover halo\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([]); // Reset to solid\n tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = hexToRgba(color, 0.2);\n tctx.fill();\n tctx.restore();\n\n // Draw center circle\n tctx.save();\n tctx.beginPath();\n tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = color;\n tctx.fill();\n tctx.strokeStyle = '#fff';\n tctx.lineWidth = 2 * tdpr;\n tctx.stroke();\n tctx.restore();\n\n // Draw axis labels\n tctx.save();\n tctx.setLineDash([]); // Reset to solid\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`;\n const dateWidth = tctx.measureText(dateStr).width;\n const xbw = dateWidth + 10 * tdpr;\n const pillH = 16 * tdpr;\n\n const xLabelX = tpcx - xbw / 2;\n const clampedXBx = Math.max(\n u.bbox.left,\n Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX),\n );\n const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr;\n\n // X Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr);\n else tctx.rect(clampedXBx, xLabelY, xbw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'center';\n tctx.textBaseline = 'middle';\n tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const valStr = `${val.toFixed(0)} ${unit}`;\n const valWidth = tctx.measureText(valStr).width;\n const ybw = valWidth + 10 * tdpr;\n\n const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left\n const yLabelY = tpcy - pillH / 2;\n\n // Y Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr);\n else tctx.rect(yLabelX, yLabelY, ybw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'left';\n tctx.textBaseline = 'middle';\n tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2);\n\n tctx.restore();\n }\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n const bb = u.bbox;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n const xData = u.data[0];\n const yData = u.data[1];\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const y = yData[i];\n if (x == null || y == null) continue;\n\n const px = u.valToPos(x, 'x', false);\n const py = u.valToPos(y, 'y', false);\n\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n }\n }\n\n if (minD2 <= maxD2) {\n idx = nearestIdx;\n lastNearestIdx = nearestIdx;\n } else {\n idx = null;\n lastNearestIdx = null;\n }\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const track = tracksFiltered[idx];\n const cx = u.valToPos(u.data[0][idx], 'x', false);\n const cy = u.valToPos(u.data[1][idx]!, 'y', false);\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n\n const val = u.data[1][idx];\n const valStr = val != null ? `${val} ${unit}` : '\u2014';\n\n timelineTooltip.innerHTML = `\n
\n Date:\n ${dateStr}\n
\n
\n Value:\n ${valStr}\n
\n `;\n timelineTooltip.style.display = 'block';\n timelineTooltip.style.left = `${cursorLeft! + bb.left}px`;\n timelineTooltip.style.top = `${cursorTop! + bb.top}px`;\n timelineTooltip.style.transform = 'translate(5px, -50%)';\n } else {\n timelineTooltip.style.display = 'none';\n }\n },\n ],\n },\n axes: [\n {\n space: 50,\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n show: true,\n font: '10px system-ui, sans-serif',\n size: 30,\n values: (u: any, vals: any[]) =>\n vals.map((v) => {\n const d = new Date(v * 1000);\n return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`;\n }),\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n font: '10px system-ui, sans-serif',\n values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`),\n show: true,\n space: 15,\n size: 50,\n },\n ],\n };\n\n timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl);\n evolutionPlots.push(timelineChart);\n\n timelineEl.addEventListener('mouseleave', () => {\n timelineChart!.redraw();\n });\n\n // Range control moved to toolbar\n } else {\n timelineEl.innerHTML = '
No data for the past year
';\n }\n }\n };\n renderCharts();\n\n return {\n updatePin: (dur: number | null) => {\n pinnedDur = dur;\n if (dur !== null) currentDur = dur;\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`;\n\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n if (mainChart) mainChart.redraw();\n },\n updateRange: (range: string) => {\n currentRange = range;\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n },\n };\n}\n\nfunction getWeekStart(date: Date): Date {\n const d = new Date(date);\n const day = d.getUTCDay();\n const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday\n d.setUTCDate(diff);\n d.setUTCHours(0, 0, 0, 0);\n return d;\n}\n\nfunction computeWeeklyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 };\n\n weeklyData[weekKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeWeeklyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey])\n weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 };\n\n weeklyData[weekKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction renderProgressCard(\n grid: HTMLElement,\n allTracks: TrackData[],\n type: 'distance' | 'elevation',\n syncKey?: any,\n onDateRangeSelect?: (start: string, end: string) => void,\n gridWidth?: number,\n) {\n const isDistance = type === 'distance';\n const weeklyData = isDistance\n ? computeWeeklyDistance(allTracks)\n : computeWeeklyElevation(allTracks);\n const accumulated = computeAccumulatedMetric(allTracks, (t) =>\n isDistance ? t.stats.totalDist : t.stats.elevGain,\n );\n const color = isDistance ? Metrics.distance.color : Metrics.elevation.color;\n const unit = isDistance ? 'km' : 'm';\n const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = `chart-row ${type}-progress-card`;\n cardContainer.id = `${type}-evolution-card`;\n\n cardContainer.innerHTML = `\n
\n
\n ${icon}\n ${isDistance ? 'Distance Progress' : 'Elevation Progress'}\n
\n
\n
\n
\n
\n
\n
\n
\n ${renderAccumulatedTable(accumulated, isDistance, unit)}\n
\n
\n `;\n\n grid.appendChild(cardContainer);\n\n const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement;\n const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement;\n\n if (!chartEl || !yAxisEl) return;\n\n chartEl.style.position = 'relative';\n\n // Use inline tooltip style\n const tooltip = document.createElement('div');\n tooltip.className = 'cur-y-val';\n tooltip.style.cssText = `color:${color};display:none`;\n chartEl.appendChild(tooltip);\n\n const xData = weeklyData.map((d) => d.timestamp / 1000);\n const yData = isDistance\n ? (weeklyData as any[]).map((d) => d.distance / 1000)\n : (weeklyData as any[]).map((d) => d.elevation);\n\n if (xData.length === 0) return;\n\n const yDataSmoothed = gaussianSmooth(yData, 2);\n\n const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20);\n const width = Math.max(chartClientW, xData.length * 40);\n const maxVal = Math.max(...yData) * 1.1;\n\n const mainOpts: uPlot.Options = {\n width: width,\n height: 150,\n padding: [10, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n scales: {\n x: { time: true },\n y: { range: [0, maxVal] },\n },\n series: [\n {},\n {\n label: isDistance ? 'Distance' : 'Elevation',\n stroke: color,\n fill: hexToRgba(color, 0.1),\n width: 2,\n points: { show: true, size: 4 },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n dash: [5, 5],\n points: { show: false },\n },\n ],\n cursor: {\n sync: syncKey ? { key: syncKey.key } : undefined,\n drag: { x: false, y: false },\n points: { show: false },\n x: false,\n y: false,\n },\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null) {\n const item = weeklyData[idx];\n if (item) {\n const start = new Date(item.timestamp);\n const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week\n const startStr = start.toISOString().split('T')[0];\n const endStr = end.toISOString().split('T')[0];\n onDateRangeSelect?.(startStr, endStr);\n }\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n const idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (\n idx != null &&\n cursorLeft != null &&\n cursorTop != null &&\n cursorLeft >= 0 &&\n cursorTop >= 0\n ) {\n const val = u.data[1][idx];\n const valStr =\n val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '\u2014';\n\n tooltip.innerHTML = valStr;\n tooltip.style.display = 'block';\n tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`;\n tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`;\n tooltip.style.transform = 'translate(6px, -50%)';\n } else {\n tooltip.style.display = 'none';\n }\n\n u.redraw(false);\n },\n ],\n draw: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(u.data[1][idx]!, 'y', true);\n const dpr = window.devicePixelRatio || 1;\n const ctx = u.ctx;\n const bb = u.bbox;\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = color;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n // X Label Pill\n const d = new Date(u.data[0][idx]! * 1000);\n const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n },\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n space: 40,\n values: (self, splits) =>\n splits.map((s) => {\n const d = new Date(s * 1000);\n return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`;\n }),\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`),\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n };\n\n const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl);\n evolutionPlots.push(mainChart);\n\n const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement;\n if (scrollContainer && xData.length * 40 > width)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n\n return {\n updateRange: (range: string) => {\n const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000;\n\n const filteredData = weeklyData.filter((d) => d.timestamp >= minTime);\n\n const newXData = filteredData.map((d) => d.timestamp / 1000);\n const newYData = isDistance\n ? (filteredData as any[]).map((d) => d.distance / 1000)\n : (filteredData as any[]).map((d) => d.elevation);\n const newYDataSmoothed = gaussianSmooth(newYData, 2);\n\n const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40);\n const newMaxVal = Math.max(...newYData) * 1.1;\n\n mainChart.setSize({ width: newWidth, height: 150 });\n mainChart.setScale('y', { min: 0, max: newMaxVal });\n mainChart.setData([newXData, newYData, newYDataSmoothed]);\n\n if (scrollContainer)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n },\n };\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData } from '../parsers';\n\nexport interface AccumulatedData {\n currentYear: number;\n pastYear: number;\n past6m: number;\n past1m: number;\n total: number;\n currentYearAvg: number;\n pastYearAvg: number;\n past6mAvg: number;\n past1mAvg: number;\n totalAvg: number;\n}\n\nexport function computeAccumulatedMetric(\n allTracks: TrackData[],\n extractor: (t: TrackData) => number | undefined,\n): AccumulatedData {\n // Derive deterministic reference timestamp from tracks (or fixed UTC fallback)\n let refTs = 0;\n for (let i = 0; i < allTracks.length; i++) {\n const st = allTracks[i].stats?.startTime;\n if (st && st > refTs) refTs = st;\n }\n if (!refTs) refTs = Date.UTC(2026, 7, 1);\n\n const now = new Date(refTs);\n const currentYear = now.getUTCFullYear();\n\n const oneYearAgoMs = Date.UTC(\n currentYear - 1,\n now.getUTCMonth(),\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const sixMonthsAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 6,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const oneMonthAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 1,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n\n let currentYearVal = 0;\n let pastYearVal = 0;\n let past6mVal = 0;\n let past1mVal = 0;\n let totalVal = 0;\n\n let minTime = refTs;\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime) return;\n const val = extractor(t);\n if (val === undefined) return;\n\n totalVal += val;\n\n const time = t.stats.startTime;\n if (time < minTime) minTime = time;\n\n const date = new Date(time);\n\n if (date.getUTCFullYear() === currentYear) currentYearVal += val;\n\n if (time >= oneYearAgoMs) pastYearVal += val;\n\n if (time >= sixMonthsAgoMs) past6mVal += val;\n\n if (time >= oneMonthAgoMs) past1mVal += val;\n });\n\n const msecPerWeek = 7 * 24 * 60 * 60 * 1000;\n const currentYearStart = Date.UTC(currentYear, 0, 1);\n\n const currentYearWeeks = Math.max(0.1, (refTs - currentYearStart) / msecPerWeek);\n const pastYearWeeks = Math.max(0.1, (refTs - oneYearAgoMs) / msecPerWeek);\n const past6mWeeks = Math.max(0.1, (refTs - sixMonthsAgoMs) / msecPerWeek);\n const past1mWeeks = Math.max(0.1, (refTs - oneMonthAgoMs) / msecPerWeek);\n const totalWeeks = Math.max(0.1, (refTs - minTime) / msecPerWeek);\n\n return {\n currentYear: currentYearVal,\n pastYear: pastYearVal,\n past6m: past6mVal,\n past1m: past1mVal,\n total: totalVal,\n currentYearAvg: currentYearVal / currentYearWeeks,\n pastYearAvg: pastYearVal / pastYearWeeks,\n past6mAvg: past6mVal / past6mWeeks,\n past1mAvg: past1mVal / past1mWeeks,\n totalAvg: totalVal / totalWeeks,\n };\n}\n\nexport function renderAccumulatedTable(\n accumulated: AccumulatedData,\n isDistance: boolean,\n unit: string,\n): string {\n const factor = isDistance ? 1000 : 1;\n const format = (val: number) => {\n const formattedVal = isDistance ? val / factor : val;\n return formattedVal.toLocaleString('en-US', {\n minimumFractionDigits: isDistance ? 1 : 0,\n maximumFractionDigits: isDistance ? 1 : 0,\n });\n };\n\n return `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Period${isDistance ? 'Distance' : 'Elevation'}${isDistance ? 'Distance/Week' : 'Elevation/Week'}
Current Year${format(accumulated.currentYear)} ${unit}${format(accumulated.currentYearAvg)} ${unit}
Past Year${format(accumulated.pastYear)} ${unit}${format(accumulated.pastYearAvg)} ${unit}
Past 6 Months${format(accumulated.past6m)} ${unit}${format(accumulated.past6mAvg)} ${unit}
Past 1 Month${format(accumulated.past1m)} ${unit}${format(accumulated.past1mAvg)} ${unit}
Total${format(accumulated.total)} ${unit}${format(accumulated.totalAvg)} ${unit}
\n `;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 Main Application \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nimport { Storage } from './storage';\nimport { UrlState, AppState } from './url-state';\nimport { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers';\nimport { MapView } from './map';\nimport { ChartView } from './charts';\nimport { renderDetails, initDetails, resetDetails } from './tabs/details';\nimport { renderInsights, initInsights, resetInsights } from './tabs/insights';\nimport { renderCombined, initCombined, resizeCombined, resetCombined } from './tabs/combined';\nimport { renderEvolution, resetEvolution } from './tabs/progress';\nimport {\n renderCourses,\n initCourses,\n prepareBenchmarkCourses,\n resetCourses,\n selectCourse,\n} from './tabs/courses';\nimport { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils';\n\nconst TRACK_COLORS: string[] = [\n '#FF6B35',\n '#4ECDC4',\n '#45B7D1',\n '#F7DC6F',\n '#FF6B6B',\n '#BB8FCE',\n '#82E0AA',\n '#F8C471',\n '#3b82f6',\n];\n\nconst POINT_ZOOM_LEVEL = 16;\n\nlet tracks: Record = {};\nlet skippedImports: { name: string; reason: string }[] = [];\n\nfunction isSameDay(t1: number, t2: number) {\n const d1 = new Date(t1);\n const d2 = new Date(t2);\n return (\n d1.getUTCFullYear() === d2.getUTCFullYear() &&\n d1.getUTCMonth() === d2.getUTCMonth() &&\n d1.getUTCDate() === d2.getUTCDate()\n );\n}\n\nlet cancelProcessing = false;\nlet selectedId: string | null = null;\nlet colorIdx = 0;\nlet followDot = false;\nlet currentMapColors: string[] | null = null;\n\n// Search/Filter state\nlet searchQuery = '';\nlet searchRegex = false;\nlet currentSort = 'date-desc';\n\ninterface Filters {\n date: [string | null, string | null];\n dist: [number | null, number | null];\n dur: [number | null, number | null];\n metrics: Set;\n tags: string[];\n sport: string | null;\n}\n\nlet filters: Filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n};\n\nfunction syncFiltersToUrl(push: boolean = false) {\n UrlState.patch(\n {\n f_date: filters.date.every((v) => v === null) ? null : filters.date,\n f_dist: filters.dist.every((v) => v === null) ? null : filters.dist,\n f_dur: filters.dur.every((v) => v === null) ? null : filters.dur,\n f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics),\n f_tags: filters.tags.length === 0 ? null : filters.tags,\n },\n push,\n );\n}\n\nfunction syncMetricsToUrl() {\n const active = ChartView.getActiveMetrics();\n const metrics = ChartView.METRICS;\n const abbrs = Array.from(active).map((key) => metrics[key].abbr);\n UrlState.patch({ metrics: abbrs.length ? abbrs : null });\n}\n\nconst SORT_OPTIONS = [\n { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' },\n { label: 'Oldest first', val: 'date-asc', icon: 'history' },\n { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' },\n { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' },\n { label: 'Longest duration', val: 'dur-desc', icon: 'timer' },\n { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' },\n];\n\nfunction showSortMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'sort-menu-popup';\n\n SORT_OPTIONS.forEach((opt) => {\n const item = document.createElement('div');\n item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`;\n item.innerHTML = `\n ${opt.icon}\n ${opt.label}\n ${currentSort === opt.val ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n currentSort = opt.val;\n UrlState.patch({ sort: opt.val });\n updateSearchSortUI();\n renderTrackList();\n popup.remove();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction showMetricMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const available = ChartView.getAvailableMetrics();\n const active = ChartView.getActiveMetrics();\n\n Object.entries(metrics).forEach(([key, def]) => {\n if (!available.has(key)) return;\n\n const item = document.createElement('div');\n item.className = `menu-item ${active.has(key) ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${active.has(key) ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n ChartView.toggleMetric(key);\n const isNowActive = ChartView.getActiveMetrics().has(key);\n item.classList.toggle('active', isNowActive);\n item.querySelector('.check')!.textContent = isNowActive ? 'check' : '';\n\n const pill = document.querySelector(`#metric-pills .metric-pill[data-metric=\"${key}\"]`);\n if (pill) pill.classList.toggle('active', isNowActive);\n\n updateToolbarLayout();\n\n syncMetricsToUrl();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.right = `${window.innerWidth - rect.right}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\n// \u2500\u2500 Tab Management \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndocument.addEventListener('select-track', (e: any) => {\n const id = e.detail.id;\n const idx = e.detail.idx;\n const dur = e.detail.dur;\n if (id && tracks[id]) {\n selectTrack(id);\n if (idx != null && dur != null) {\n const t = tracks[id];\n const pts = t.points;\n if (idx >= 0 && idx < pts.length) {\n const pIdx = pts[idx];\n if (pIdx && pIdx.time != null) {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const tMin = (pIdx.time - t0) / 1000;\n const tMax = tMin + dur;\n\n // ChartView selection\n ChartView.restoreSelection(tMin, tMax);\n\n // Find iMax based on duration\n let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000);\n if (iMax === -1) iMax = pts.length - 1;\n\n const selPts = pts.slice(idx, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n\n renderInsights(t);\n\n MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n\n // Update URL state\n UrlState.patch({ sel: [tMin, tMax] });\n }\n }\n }\n }\n});\n\ndocument.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement;\n if (!btn) return;\n const nav = btn.closest('#tab-nav');\n if (!nav) return;\n\n // Toggle buttons\n nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn));\n\n const tab = btn.dataset.tab!;\n UrlState.patch({ tab }, true);\n\n // Toggle contents\n const panel = nav.closest('#chart-panel');\n if (panel) {\n panel.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`);\n });\n }\n\n if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId])\n renderDetails(tracks[selectedId], getGlobalTags());\n\n if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId])\n renderInsights(tracks[selectedId]);\n\n if (btn.dataset.tab === 'evolution') {\n renderEvolution(\n selectedId ? tracks[selectedId] : null,\n Object.values(tracks),\n (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n },\n (start, end) => {\n filters.date = [start, end];\n applyFilters();\n syncFiltersToUrl(true);\n updateFilterUI();\n },\n );\n }\n\n if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId])\n renderCombined(tracks[selectedId]);\n\n if (btn.dataset.tab === 'courses') renderCourses();\n\n if (btn.dataset.tab === 'graphs') {\n ChartView.resize();\n updateToolbarLayout();\n\n // Restore selection from URL\n const s = UrlState.get().sel;\n if (s) ChartView.restoreSelection(s[0], s[1]);\n }\n});\n\nasync function resetBenchmarkState() {\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n await Storage.clear();\n tracks = {};\n skippedImports = [];\n selectedId = null;\n colorIdx = 0;\n currentMapColors = null;\n cancelProcessing = false;\n followDot = false;\n searchQuery = '';\n searchRegex = false;\n currentSort = 'date-desc';\n filters.date = [null, null];\n filters.dist = [null, null];\n filters.dur = [null, null];\n filters.metrics.clear();\n filters.tags = [];\n Parsers.setHRZones([120, 140, 160, 180]);\n Parsers.setFTP(200);\n resetCourses();\n resetInsights();\n resetDetails();\n resetCombined();\n resetEvolution();\n if (MapView.removeAllTracks) MapView.removeAllTracks();\n if (MapView.clearTracks) MapView.clearTracks();\n MapView.clearHighlight();\n if (ChartView.resetState) ChartView.resetState();\n else if (ChartView.clear) ChartView.clear();\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs');\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === 'tab-graphs');\n });\n UrlState.reset();\n const toastContainer = document.getElementById('toast-container');\n if (toastContainer) toastContainer.innerHTML = '';\n document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove());\n if (typeof renderTrackList === 'function') renderTrackList();\n}\n\n// \u2500\u2500 Boot \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nasync function init() {\n // Wait for fonts to be loaded with a cleaned-up timeout\n let fontTimerId: number | null = null;\n const fontTimeout = new Promise((resolve) => {\n fontTimerId = window.setTimeout(resolve, 1000);\n });\n try {\n const fontLoadPromise = document.fonts\n ? Promise.all([\n document.fonts.load('24px \"Material Symbols Rounded\"').catch(() => {}),\n document.fonts.ready,\n ])\n : Promise.resolve();\n await Promise.race([fontLoadPromise, fontTimeout]);\n } finally {\n if (fontTimerId !== null) window.clearTimeout(fontTimerId);\n }\n document.body.classList.remove('loading-fonts');\n const storageSelect = document.getElementById(\n 'storage-backend-select',\n ) as HTMLSelectElement | null;\n if (storageSelect) {\n storageSelect.value = UrlState.get().storage || 'memory';\n storageSelect.addEventListener('change', (e) => {\n const selected = (e.target as HTMLSelectElement).value;\n const params = new URLSearchParams(window.location.search);\n if (selected === 'memory') {\n params.delete('storage');\n } else {\n params.set('storage', selected);\n }\n window.location.search = params.toString();\n });\n }\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const mapLoader = document.getElementById('map-loader');\n const mapLoaderSpan = mapLoader?.querySelector('span');\n\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...';\n mapLoader.classList.remove('hidden');\n }\n\n const urlState = UrlState.get();\n\n initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n\n // Init sub-systems\n MapView.init(\n (id) => selectTrack(id),\n onMapMove,\n onMapPointClick,\n (id, idx) => {\n if (id === selectedId) ChartView.setHoverAt(idx);\n else ChartView.setHoverAt(null);\n },\n onMapDblClick,\n );\n ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => {\n UrlState.patch({ sel_point: idx });\n });\n\n ChartView.setMapColorChangeCb((data) => {\n if (data) {\n currentMapColors = data.colors;\n if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors);\n } else {\n currentMapColors = null;\n if (selectedId) MapView.clearMetricColor(selectedId);\n }\n\n // Refresh highlight with new colors if a selection exists\n const currentUrlState = UrlState.get();\n if (currentUrlState.sel)\n onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis());\n });\n\n applyState(urlState);\n\n // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions\n await Storage.openDB();\n await resetBenchmarkState();\n\n // Load persisted tracks\n try {\n // Load global settings\n const hrZones = await Storage.get('hr_zones');\n if (hrZones) Parsers.setHRZones(hrZones);\n\n const ftp = await Storage.get('ftp');\n if (ftp) Parsers.setFTP(ftp);\n\n const saved = await Storage.getAll();\n saved.sort((a, b) => a.addedAt - b.addedAt);\n\n if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`;\n\n const tracksToLoad: TrackData[] = [];\n for (const t of saved) {\n let updated = false;\n if (!t.bounds && t.points.length > 0) {\n const b = calculateBounds(t.points);\n if (b) {\n t.bounds = b;\n updated = true;\n }\n }\n if (!t.simplifiedPoints && t.points.length > 0) {\n t.simplifiedPoints = simplifyTrack(t.points, 50);\n updated = true;\n }\n if (updated) await Storage.save(t);\n\n tracks[t.id] = t;\n tracksToLoad.push(t);\n }\n MapView.addTracks(tracksToLoad);\n applyFilters();\n\n const restoreId =\n urlState.track && saved.find((t) => t.id === urlState.track)\n ? urlState.track\n : saved.length > 0\n ? saved[0].id\n : null;\n\n const mapLoader = document.getElementById('map-loader');\n\n // 1. Process and load the \"Priority\" track first\n const selectedTrackData = saved.find((t) => t.id === restoreId);\n if (selectedTrackData) {\n await processAndLoadTrack(selectedTrackData);\n selectTrack(selectedTrackData.id, !urlState.map_pos);\n\n // Explicitly restore selection/pin from URL if they exist\n if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]);\n });\n });\n }\n if (urlState.sel_point !== undefined && urlState.sel_point !== null) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.setCursorAt(urlState.sel_point!);\n });\n });\n }\n }\n\n // Hide database loader\n if (mapLoader) mapLoader.classList.add('hidden');\n\n // 2. Load the rest in background chunks\n if (saved.length > (selectedTrackData ? 1 : 0)) {\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...';\n mapLoader.classList.remove('hidden');\n }\n\n const remaining = saved.filter((t) => t.id !== restoreId);\n let index = 0;\n\n const loadNextChunk = async () => {\n const chunkSize = 2; // Process 2 tracks per frame\n const end = Math.min(index + chunkSize, remaining.length);\n\n for (; index < end; index++) await processAndLoadTrack(remaining[index]);\n\n if (index < remaining.length) {\n requestAnimationFrame(loadNextChunk);\n } else {\n if (mapLoader) mapLoader.classList.add('hidden');\n applyFilters(); // Final sync\n if (selectedId && tracks[selectedId]) {\n renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n // Only fit all if no saved map position and we just finished loading everything\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n };\n\n requestAnimationFrame(loadNextChunk);\n } else {\n applyFilters();\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n } catch (e) {\n console.warn('Could not load saved tracks:', e);\n }\n\n // Panel resizers\n initResizeHandle();\n initSidebarResizer();\n initMetricPillDraggable();\n updateToolbarLayout();\n\n // Basemap switcher\n document.getElementById('basemap-switcher')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement;\n if (!btn) return;\n document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n if (btn.dataset.layer) {\n MapView.switchBasemap(btn.dataset.layer);\n UrlState.patch({ map: btn.dataset.layer });\n }\n });\n\n // Fit all\n document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll());\n\n // Clear all\n document.getElementById('btn-clear-all')?.addEventListener('click', clearAll);\n\n // Search\n document.getElementById('track-search')?.addEventListener('input', (e) => {\n searchQuery = (e.target as HTMLInputElement).value;\n applyFilters();\n UrlState.patch({ q: searchQuery || null });\n });\n\n document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => {\n searchRegex = !searchRegex;\n (e.target as HTMLElement).classList.toggle('active', searchRegex);\n applyFilters();\n UrlState.patch({ re: searchRegex ? 1 : null });\n });\n\n // Sort\n document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSortMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric menu toggle\n document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMetricMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric toggles (shared logic)\n const toggleMetric = (metric: string, pill: HTMLElement | null) => {\n if (pill) pill.classList.toggle('active');\n ChartView.toggleMetric(metric);\n syncMetricsToUrl();\n };\n\n document.getElementById('metric-pills')?.addEventListener('click', (e) => {\n const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (pill) {\n const metric = pill.dataset.metric;\n if (metric) {\n toggleMetric(metric, pill);\n\n // Scroll to it if it became active\n if (ChartView.getActiveMetrics().has(metric)) {\n const targetEl = document.querySelector(`.chart-row[data-metric=\"${metric}\"]`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n }\n }\n });\n\n // X-axis toggle\n document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const axis = btn.dataset.axis!;\n ChartView.setXAxis(axis);\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', b === btn));\n UrlState.patch({ xaxis: axis });\n });\n\n // Follow dot\n document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => {\n followDot = !followDot;\n (e.currentTarget as HTMLElement).classList.toggle('active', followDot);\n });\n\n // Reset zoom\n document.getElementById('btn-reset-zoom')?.addEventListener('click', () => {\n ChartView.resetZoom();\n MapView.clearHighlight();\n });\n\n // File drag/drop\n initDropZone();\n\n // File browse\n document.getElementById('file-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n document.getElementById('folder-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n\n // Filters\n document.getElementById('btn-toggle-filters')?.addEventListener('click', () => {\n const panel = document.getElementById('filter-panel');\n if (panel) {\n panel.classList.toggle('hidden');\n document\n .getElementById('btn-toggle-filters')\n ?.classList.toggle('active', !panel.classList.contains('hidden'));\n }\n });\n\n const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => {\n const val = (e.target as HTMLInputElement).value;\n (filters[type] as any)[idx] = val === '' ? null : val;\n applyFilters();\n syncFiltersToUrl();\n };\n\n document\n .getElementById('filter-date-start')\n ?.addEventListener('change', (e) => onFilterInput('date', 0, e));\n document\n .getElementById('filter-date-end')\n ?.addEventListener('change', (e) => onFilterInput('date', 1, e));\n document\n .getElementById('filter-dist-min')\n ?.addEventListener('input', (e) => onFilterInput('dist', 0, e));\n document\n .getElementById('filter-dist-max')\n ?.addEventListener('input', (e) => onFilterInput('dist', 1, e));\n document\n .getElementById('filter-dur-min')\n ?.addEventListener('input', (e) => onFilterInput('dur', 0, e));\n document\n .getElementById('filter-dur-max')\n ?.addEventListener('input', (e) => onFilterInput('dur', 1, e));\n\n const burgerBtn = document.getElementById('sport-burger-btn');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n burgerBtn?.addEventListener('click', (e) => {\n e.stopPropagation();\n if (dropdownContent) {\n const isVisible = dropdownContent.style.display === 'block';\n dropdownContent.style.display = isVisible ? 'none' : 'block';\n }\n });\n\n document.addEventListener('click', (e) => {\n if (dropdownContent && dropdownContent.style.display === 'block') {\n if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn)\n dropdownContent.style.display = 'none';\n }\n });\n\n document.getElementById('sport-filter-container')?.addEventListener('click', (e) => {\n const target = e.target as HTMLElement;\n const btn = target.closest('[data-sport]');\n if (btn) {\n const selectedSport = (btn as HTMLElement).dataset.sport || null;\n filters.sport = filters.sport === selectedSport ? null : selectedSport;\n applyFilters();\n syncFiltersToUrl();\n updateFilterUI();\n\n if (target.closest('.dropdown-item')) {\n if (dropdownContent) dropdownContent.style.display = 'none';\n }\n }\n });\n\n document.getElementById('filter-metrics')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement;\n if (!btn) return;\n const m = btn.dataset.metric!;\n if (filters.metrics.has(m)) filters.metrics.delete(m);\n else filters.metrics.add(m);\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('btn-reset-filters')?.addEventListener('click', () => {\n filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n };\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('filter-tags')?.addEventListener('input', (e) => {\n const val = (e.target as HTMLInputElement).value;\n filters.tags = val\n .split(',')\n .map((s) => s.trim().toLowerCase())\n .filter((s) => !!s);\n applyFilters();\n syncFiltersToUrl();\n });\n\n // Keyboard shortcuts\n document.addEventListener('keydown', (e) => {\n if (e.key === 'Escape') {\n MapView.hideCursor();\n MapView.closePopup?.();\n // Dismiss popups and modals\n document\n .querySelectorAll(\n '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop',\n )\n .forEach((el) => el.remove());\n }\n });\n\n // Resize charts when window changes\n window.addEventListener('resize', () => {\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n updateToolbarLayout();\n });\n\n // Handle back/forward navigation\n window.addEventListener('popstate', () => {\n UrlState.refresh();\n applyState(UrlState.get());\n });\n\n initBenchmarkTriggers();\n await preloadBenchmarkFiles();\n\n // Signal to Speedometer test harness that asynchronous initialization has completed\n // and benchmark step triggers are bound.\n const readyEl = document.createElement('div');\n readyEl.id = 'app-is-ready';\n readyEl.setAttribute('data-ready', 'true');\n readyEl.style.display = 'none';\n document.body.appendChild(readyEl);\n\n const camelReadyEl = document.createElement('div');\n camelReadyEl.id = 'appIsReady';\n camelReadyEl.setAttribute('data-ready', 'true');\n camelReadyEl.style.display = 'none';\n document.body.appendChild(camelReadyEl);\n}\n\nlet preloadedBenchmarkPayloads:\n | {\n cleanName: string;\n buf: ArrayBuffer;\n text?: string;\n file: File;\n }[]\n | null = null;\n\nasync function preloadBenchmarkFiles(): Promise<\n { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[]\n> {\n if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads;\n try {\n const manifestResp = await fetch('./test-data/manifest.json');\n const fileNames: string[] = await manifestResp.json();\n const decoder = new TextDecoder();\n preloadedBenchmarkPayloads = await Promise.all(\n fileNames.map(async (name) => {\n const fileResp = await fetch(`./test-data/${name}`);\n let buf = await fileResp.arrayBuffer();\n let cleanName = name;\n if (name.toLowerCase().endsWith('.gz')) {\n cleanName = name.slice(0, -3);\n const bytes = new Uint8Array(buf);\n if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) {\n const ds = new DecompressionStream('gzip');\n const stream = new Blob([buf]).stream().pipeThrough(ds);\n buf = await new Response(stream).arrayBuffer();\n }\n }\n const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf);\n const file = new File([buf], cleanName, { type: 'application/octet-stream' });\n (file as any)._buf = buf;\n if (text !== undefined) (file as any)._text = text;\n return { cleanName, buf, text, file };\n }),\n );\n // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase\n let warmSample: any = null;\n for (const idx of [0, 2, 4]) {\n if (preloadedBenchmarkPayloads[idx]) {\n const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file);\n if (idx === 0) warmSample = parsed;\n }\n }\n if (warmSample) {\n const warmPts = warmSample.points.slice(0, 1250);\n const warmTrack: TrackData = {\n ...warmSample,\n id: 'warmup',\n fileName: 'warmup.gpx',\n fileSize: 1024,\n points: warmPts,\n bounds: calculateBounds(warmPts) || undefined,\n simplifiedPoints: simplifyTrack(warmPts, 50),\n stats: Parsers.computeStats(warmPts),\n addedAt: 1785542400000,\n visible: true,\n color: TRACK_COLORS[0],\n };\n const warmTrack2: TrackData = {\n ...warmTrack,\n id: 'warmup-2',\n fileName: 'warmup2.gpx',\n addedAt: 1785628800000,\n color: TRACK_COLORS[1],\n };\n const warmList = [warmTrack, warmTrack2];\n Parsers.ensureCurvesAndZones(warmTrack);\n Parsers.ensureCurvesAndZones(warmTrack2);\n MapView.addTracks(warmList);\n ChartView.loadTrack(warmTrack, warmList, false);\n ChartView.restoreSelection(10, 50, true);\n ChartView.setCursorAt(25, true);\n ChartView.setActiveMetrics(['elevation', 'speed', 'power']);\n ChartView.analyzeTelemetryIntervals(warmList, 10, 50);\n renderInsights(warmTrack, warmList);\n renderDetails(warmTrack, [], warmList);\n renderCombined(warmList, warmList);\n renderEvolution(warmTrack, warmList);\n prepareBenchmarkCourses(warmList);\n selectCourse('course-1', true);\n await resetBenchmarkState();\n void document.body.offsetHeight;\n await new Promise((r) => window.setTimeout(r, 0));\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n return preloadedBenchmarkPayloads;\n } catch {\n return [];\n }\n}\n\nfunction initBenchmarkTriggers() {\n const btnLoad = document.getElementById('btn-step-load');\n const btnAnalysis = document.getElementById('btn-step-analysis');\n const btnInsights = document.getElementById('btn-step-insights');\n const btnDetails = document.getElementById('btn-step-details');\n const btnAggregate = document.getElementById('btn-step-aggregate');\n const btnEvolution = document.getElementById('btn-step-evolution');\n const btnCourses = document.getElementById('btn-step-courses');\n\n function activateTab(tabName: string) {\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName);\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${tabName}`);\n });\n UrlState.patch({ tab: tabName }, false);\n }\n\n btnLoad?.addEventListener('click', async () => {\n try {\n if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) {\n await Storage.openDB();\n await resetBenchmarkState();\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n const payloads = await preloadBenchmarkFiles();\n const loadedFiles: File[] = payloads.map((p) => p.file);\n await handleFiles(loadedFiles);\n const allTracks = Object.values(tracks);\n if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id);\n } finally {\n window.dispatchEvent(new CustomEvent('load-and-parse-complete'));\n }\n });\n\n btnAnalysis?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('graphs');\n if (!selectedId && allTracks.length > 0) {\n selectTrack(allTracks[0].id);\n }\n ChartView.restoreSelection(120, 900, true);\n ChartView.setCursorAt(300, true);\n const availableMetrics = ChartView.getAvailableMetrics();\n const analysisMetrics = ['elevation', 'speed', 'power'].filter((m) =>\n availableMetrics.has(m),\n );\n if (analysisMetrics.length > 0) {\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const metric = (el as HTMLElement).dataset.metric;\n if (metric) el.classList.toggle('active', analysisMetrics.includes(metric));\n });\n updateToolbarLayout();\n ChartView.setActiveMetrics(analysisMetrics);\n } else {\n updateToolbarLayout();\n }\n ChartView.analyzeTelemetryIntervals(allTracks, 120, 900);\n onChartRangeChange(120, 900, ChartView.getXAxis(), false);\n } finally {\n window.dispatchEvent(new CustomEvent('analysis-complete'));\n }\n });\n\n btnInsights?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t));\n activateTab('insights');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderInsights(primaryTrack, allTracks);\n } finally {\n window.dispatchEvent(new CustomEvent('insights-complete'));\n }\n });\n\n btnDetails?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('details');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderDetails(primaryTrack, getGlobalTags(), allTracks);\n } finally {\n window.dispatchEvent(new CustomEvent('details-complete'));\n }\n });\n\n btnAggregate?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n if (allTracks.length >= 2) {\n const selectedTwo = [allTracks[0], allTracks[1]];\n activateTab('combined');\n renderCombined(selectedTwo, allTracks);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('aggregate-complete'));\n }\n });\n\n btnEvolution?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('evolution');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderEvolution(primaryTrack, allTracks, (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n } finally {\n window.dispatchEvent(new CustomEvent('evolution-complete'));\n }\n });\n\n btnCourses?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('courses');\n prepareBenchmarkCourses(allTracks);\n selectCourse('course-1', true);\n } finally {\n window.dispatchEvent(new CustomEvent('courses-complete'));\n }\n });\n\n (window as any).benchmarkSteps = {\n loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(),\n displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(),\n displayInsights: () => document.getElementById('btn-step-insights')?.click(),\n displayDetails: () => document.getElementById('btn-step-details')?.click(),\n displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(),\n displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(),\n displayCourses: () => document.getElementById('btn-step-courses')?.click(),\n };\n}\n\nasync function processAndLoadTrack(t: TrackData) {\n // Migration: re-calculate stats if new insights are missing or old format\n const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : [];\n\n const needsEnrich =\n t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined);\n\n const needsRecalc =\n needsEnrich ||\n !t.stats.powerCurve ||\n !t.stats.hrZones ||\n !t.stats.hrCurve ||\n t.stats.shifts === undefined ||\n t.stats.avgBattery === undefined ||\n t.stats.avgTemp === undefined ||\n (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') ||\n ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]);\n\n if (needsRecalc) {\n if (needsEnrich) t.points = Parsers.enrichPoints(t.points);\n t.stats = Parsers.computeStats(t.points);\n await Storage.save(t);\n }\n\n tracks[t.id] = t;\n colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1);\n MapView.addTrack(t);\n MapView.setTrackVisible(t.id, t.visible && !t._filtered);\n renderTrackList(); // Progressive list update\n}\n\nfunction initResizeHandle() {\n const handle = document.getElementById('resize-handle');\n const panel = document.getElementById('chart-panel');\n if (!handle || !panel) return;\n\n let isDragging = false;\n\n handle.addEventListener('mousedown', () => {\n isDragging = true;\n document.body.style.cursor = 'ns-resize';\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const h = window.innerHeight - e.clientY;\n const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h));\n panel.style.height = `${clampedH}px`;\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n document.body.style.cursor = '';\n });\n}\n\nfunction initSidebarResizer() {\n const resizer = document.getElementById('sidebar-resizer');\n const sidebar = document.getElementById('sidebar');\n if (!resizer || !sidebar) return;\n\n let isDragging = false;\n\n resizer.addEventListener('mousedown', () => {\n isDragging = true;\n resizer.classList.add('dragging');\n document.body.classList.add('dragging-sidebar');\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const w = e.clientX;\n const clampedW = Math.max(200, Math.min(600, w));\n sidebar.style.width = `${clampedW}px`;\n sidebar.style.setProperty('--sidebar-w', `${clampedW}px`);\n ChartView.resize();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n resizer.classList.remove('dragging');\n document.body.classList.remove('dragging-sidebar');\n });\n}\n\n// \u2500\u2500 Event Handlers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nfunction onMapMove(lat: number, lng: number, zoom: number) {\n UrlState.patch({ map_pos: [lat, lng, zoom] });\n}\n\nfunction onMapPointClick(id: string, idx: number) {\n selectTrack(id, false);\n ChartView.setCursorAt(idx);\n}\n\nfunction onMapDblClick() {\n // MapView.fitAll();\n}\n\nfunction onChartCursorMove(pt: TrackPoint | null) {\n if (pt && pt.lat != null && pt.lon != null) {\n MapView.showCursorAt(pt.lat, pt.lon);\n if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true);\n } else {\n MapView.hideCursor();\n }\n}\n\nfunction onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) {\n if (!selectedId || !tracks[selectedId]) return;\n const t = tracks[selectedId];\n\n if (min === null || max === null) {\n MapView.clearHighlight();\n if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n UrlState.patch({ sel: null });\n return;\n }\n\n // Find point indices\n const pts = t.points;\n let iMin = 0,\n iMax = pts.length - 1;\n\n if (axis === 'distance') {\n const d0 = min * 1000,\n d1 = max * 1000;\n iMin = pts.findIndex((p) => (p.dist || 0) >= d0);\n iMax = pts.findIndex((p) => (p.dist || 0) >= d1);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const ts0 = t0 + min * 1000,\n ts1 = t0 + max * 1000;\n iMin = pts.findIndex((p) => (p.time || 0) >= ts0);\n iMax = pts.findIndex((p) => (p.time || 0) >= ts1);\n }\n\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = pts.length - 1;\n\n // Compute selection stats\n const selPts = pts.slice(iMin, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n\n MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n UrlState.patch({ sel: [min, max] });\n}\n\nfunction onChartClick(pt: TrackPoint, idx: number) {\n if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL);\n}\n\nexport function selectTrack(id: string, fit = true, deferChartRender = false) {\n if (!tracks[id]) return;\n if (id === selectedId) {\n if (fit) MapView.fitTrack(id);\n return;\n }\n\n const hadSelected = selectedId !== null;\n if (hadSelected) {\n // Clear current views immediately before loading new data\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n }\n\n selectedId = id;\n\n // Fully reset metric coloring when switching tracks\n currentMapColors = null;\n MapView.clearMetricColor(id);\n if (hadSelected) {\n ChartView.toggleMapColor(null); // Ensure ChartView state also resets\n }\n\n // Clear selection on new track\n UrlState.patch({ track: id, sel: null }, true);\n if (hadSelected) {\n ChartView.cancelSelection();\n }\n\n // Update UI immediately\n renderTrackList();\n\n // Render details\n const activeTab = UrlState.get().tab || 'graphs';\n if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags());\n if (activeTab === 'insights') renderInsights(tracks[id]);\n if (activeTab === 'combined') renderCombined(tracks[id]);\n if (activeTab === 'courses') renderCourses();\n if (activeTab === 'evolution') {\n renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n\n // Tell sub-views\n MapView.setSelectedTrack(id, fit);\n if (fit) MapView.fitTrack(id);\n ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender);\n}\n\nasync function deleteTrack(id: string) {\n await Storage.remove(id);\n MapView.removeTrack(id);\n delete tracks[id];\n if (selectedId === id) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n UrlState.patch({ track: null, sel: null, sel_point: null });\n }\n applyFilters();\n}\n\nasync function clearAll() {\n const code = Math.floor(10 + Math.random() * 90).toString();\n\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n backdrop.innerHTML = `\n
\n
Delete all tracks?
\n
\n This will permanently remove all tracks from your browser storage. This action cannot be undone.\n
\n
\n
Enter \"${code}\" to confirm:
\n \n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const input = backdrop.querySelector('.modal-input') as HTMLInputElement;\n const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement;\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n\n input.focus();\n\n input.addEventListener('input', () => {\n btnConfirm.disabled = input.value !== code;\n });\n\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n\n btnConfirm.addEventListener('click', async () => {\n if (input.value !== code) return;\n close();\n\n cancelProcessing = true;\n await Storage.clear();\n\n tracks = {};\n selectedId = null;\n MapView.clearHighlight();\n window.location.reload();\n });\n}\n\nfunction applyFilters(skipRender = false) {\n const ids = Object.keys(tracks);\n ids.forEach((id) => {\n const t = tracks[id];\n const s = t.stats;\n let visible = true;\n\n // Search query\n if (searchQuery) {\n if (searchRegex) {\n try {\n const re = new RegExp(searchQuery, 'i');\n if (!re.test(t.name)) visible = false;\n } catch (e) {\n visible = false;\n }\n } else {\n if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false;\n }\n }\n\n // Date filter\n if (visible && (filters.date[0] || filters.date[1])) {\n const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0;\n const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity;\n const t0 = s.startTime || 0;\n if (t0 < start || t0 > end) visible = false;\n }\n\n // Distance filter\n if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) {\n const min = (filters.dist[0] || 0) * 1000;\n const max = (filters.dist[1] || Infinity) * 1000;\n if (s.totalDist < min || s.totalDist > max) visible = false;\n }\n\n // Duration filter\n if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) {\n const min = (filters.dur[0] || 0) * 60000;\n const max = (filters.dur[1] || Infinity) * 60000;\n const d = s.duration || 0;\n if (d < min || d > max) visible = false;\n }\n\n // Metrics filter\n if (visible && filters.metrics.size > 0) {\n for (const m of filters.metrics) {\n const field = ChartView.METRICS[m].field;\n if (!t.points.some((p: any) => p[field] != null)) {\n visible = false;\n break;\n }\n }\n }\n\n // Sport filter\n if (visible && filters.sport) {\n if (t.sport !== filters.sport) visible = false;\n }\n\n // Tags filter\n if (visible && filters.tags.length > 0) {\n const trackTags = t.tags || [];\n if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false;\n }\n\n t._filtered = !visible;\n MapView.setTrackVisible(t.id, t.visible && visible);\n });\n\n if (!skipRender) renderTrackList();\n}\n\nfunction updateFilterUI() {\n (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || '';\n (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || '';\n (document.getElementById('filter-dist-min') as HTMLInputElement).value =\n filters.dist[0] !== null ? String(filters.dist[0]) : '';\n (document.getElementById('filter-dist-max') as HTMLInputElement).value =\n filters.dist[1] !== null ? String(filters.dist[1]) : '';\n (document.getElementById('filter-dur-min') as HTMLInputElement).value =\n filters.dur[0] !== null ? String(filters.dur[0]) : '';\n (document.getElementById('filter-dur-max') as HTMLInputElement).value =\n filters.dur[1] !== null ? String(filters.dur[1]) : '';\n (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', ');\n\n document\n .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item')\n .forEach((el) => {\n const item = el as HTMLElement;\n item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || ''));\n });\n\n document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => {\n const btn = el as HTMLElement;\n btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!));\n });\n\n const activeCount =\n (filters.date[0] ? 1 : 0) +\n (filters.date[1] ? 1 : 0) +\n (filters.dist[0] !== null ? 1 : 0) +\n (filters.dist[1] !== null ? 1 : 0) +\n (filters.dur[0] !== null ? 1 : 0) +\n (filters.dur[1] !== null ? 1 : 0) +\n filters.metrics.size +\n (filters.tags.length > 0 ? 1 : 0);\n\n const badge = document.querySelector('#btn-toggle-filters .btn-badge');\n if (badge) {\n badge.textContent = activeCount > 0 ? String(activeCount) : '';\n badge.classList.toggle('hidden', activeCount === 0);\n }\n}\n\nfunction updateSearchSortUI() {\n const searchInput = document.getElementById('track-search') as HTMLInputElement;\n if (searchInput) searchInput.value = searchQuery;\n document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex);\n\n const opt = SORT_OPTIONS.find((o) => o.val === currentSort);\n if (opt) {\n const labelEl = document.getElementById('sort-current-label');\n const iconEl = document.getElementById('sort-current-icon');\n if (labelEl)\n labelEl.textContent = opt.label\n .replace(' first', '')\n .replace(' distance', '')\n .replace(' duration', '');\n if (iconEl) iconEl.textContent = opt.icon;\n }\n}\n\nfunction applyState(urlState: AppState) {\n // Restore track\n const newTrackId = urlState.track;\n if (newTrackId !== selectedId) {\n if (newTrackId && tracks[newTrackId]) {\n selectTrack(newTrackId, true);\n } else if (!newTrackId && selectedId) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n renderTrackList();\n MapView.fitAll();\n }\n }\n\n // Restore basemap\n if (urlState.map && typeof urlState.map === 'string') {\n MapView.switchBasemap(urlState.map);\n document\n .querySelectorAll('.bm-btn')\n .forEach((b) =>\n b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map),\n );\n }\n\n // Restore map position\n if (urlState.map_pos) {\n const [lat, lng, zoom] = urlState.map_pos;\n MapView.setPosition(lat, lng, zoom);\n }\n\n // Restore tab\n if (urlState.tab) {\n document.querySelectorAll('.tab-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n if (b.dataset.tab === urlState.tab) {\n if (!b.classList.contains('active')) b.click();\n }\n });\n }\n\n // Restore x-axis mode\n if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis);\n\n const currentXAxis = urlState.xaxis || 'time';\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis));\n\n // Restore active metrics\n if (urlState.metrics) {\n const metrics = ChartView.METRICS;\n const keys = urlState.metrics\n .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr))\n .filter((k): k is string => k !== undefined);\n if (keys.length) ChartView.setActiveMetrics(keys);\n }\n\n // Restore filters\n if (urlState.f_date)\n filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null];\n if (urlState.f_dist)\n filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_dur)\n filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets);\n if (urlState.f_tags) filters.tags = urlState.f_tags;\n\n updateFilterUI();\n\n if (urlState.q) searchQuery = urlState.q;\n if (urlState.re) searchRegex = urlState.re;\n if (urlState.sort) currentSort = urlState.sort;\n updateSearchSortUI();\n\n applyFilters();\n}\n\nfunction updateSportFilterOptions() {\n const container = document.getElementById('sport-filter-container');\n if (!container) return;\n\n const commonContainer = document.getElementById('common-sports');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n if (!commonContainer || !dropdownContent) return;\n\n const sports = new Set();\n Object.values(tracks).forEach((t) => {\n if (t.sport) sports.add(t.sport);\n });\n\n const sportsArray = Array.from(sports).sort();\n const burgerDropdown = document.getElementById('sport-burger-dropdown');\n\n commonContainer.innerHTML = '';\n dropdownContent.innerHTML = '';\n\n if (sportsArray.length <= 4) {\n if (burgerDropdown) burgerDropdown.style.display = 'none';\n\n sportsArray.forEach((sport) => {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n });\n } else {\n if (burgerDropdown) burgerDropdown.style.display = 'inline-block';\n\n const commonSports = ['running', 'cycling', 'walking'];\n\n commonSports.forEach((sport) => {\n if (sports.has(sport)) {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n }\n });\n\n sportsArray.forEach((sport) => {\n const item = document.createElement('div');\n item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`;\n item.dataset.sport = sport;\n item.style.padding = '8px';\n item.style.cursor = 'pointer';\n item.style.display = 'flex';\n item.style.alignItems = 'center';\n item.style.gap = '8px';\n item.innerHTML = `\n ${getSportIcon(sport)}\n ${sport.charAt(0).toUpperCase() + sport.slice(1)}\n `;\n dropdownContent.appendChild(item);\n });\n }\n}\n\nfunction renderTrackList() {\n updateSportFilterOptions();\n const list = document.getElementById('track-list');\n const emptyEl = document.getElementById('track-list-empty') as HTMLElement;\n const headerLabel = document.querySelector('.section-label');\n if (!list) return;\n\n const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered);\n if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`;\n\n if (!ids.length) {\n list.innerHTML = '';\n if (emptyEl) {\n list.appendChild(emptyEl);\n emptyEl.style.display = 'block';\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n list.innerHTML = '';\n\n ids\n .sort((a, b) => {\n // Current selected always first\n if (a === selectedId) return -1;\n if (b === selectedId) return 1;\n\n const ta = tracks[a],\n tb = tracks[b];\n const sa = ta.stats,\n sb = tb.stats;\n\n let cmp = 0;\n switch (currentSort) {\n case 'date-asc':\n cmp = (sa.startTime || 0) - (sb.startTime || 0);\n break;\n case 'date-desc':\n cmp = (sb.startTime || 0) - (sa.startTime || 0);\n break;\n case 'dist-asc':\n cmp = (sa.totalDist || 0) - (sb.totalDist || 0);\n break;\n case 'dist-desc':\n cmp = (sb.totalDist || 0) - (sa.totalDist || 0);\n break;\n case 'dur-asc':\n cmp = (sa.duration || 0) - (sb.duration || 0);\n break;\n case 'dur-desc':\n cmp = (sb.duration || 0) - (sa.duration || 0);\n break;\n default:\n cmp = 0;\n }\n return cmp || a.localeCompare(b);\n })\n .forEach((id) => {\n list.appendChild(buildTrackItem(tracks[id]));\n });\n}\n\nfunction getGlobalTags(): string[] {\n const all = new Set();\n Object.values(tracks).forEach((t) => {\n (t.tags || []).forEach((tag) => all.add(tag));\n });\n return Array.from(all).sort();\n}\n\nfunction getSportIcon(sport: string | null): string {\n if (!sport) return 'category';\n const s = sport.toLowerCase();\n if (s.includes('run')) return 'directions_run';\n if (s.includes('cycl') || s.includes('bike')) return 'directions_bike';\n if (s.includes('walk')) return 'directions_walk';\n if (s.includes('swim')) return 'pool';\n if (s.includes('hik')) return 'hiking';\n return 'sports';\n}\n\nfunction buildTrackItem(track: TrackData) {\n const item = document.createElement('div');\n item.className = `track-item${track.id === selectedId ? ' selected' : ''}`;\n item.dataset.id = track.id;\n\n const date =\n track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date';\n\n const tagsHtml =\n (track.tags || []).length > 0\n ? `
${(track.tags || [])\n .map((t) => {\n const c = getTagColor(t);\n return `${escHtml(t)}`;\n })\n .join('')}
`\n : '';\n\n item.innerHTML = `\n
\n
\n
${escHtml(track.displayName || track.name)}
\n
\n
\n ${date}\n ${Math.round(track.stats.totalDist / 1000)} km\n ${track.sport ? `${getSportIcon(track.sport)}` : ''}\n ${track.format.toUpperCase()}\n
\n \n
\n ${tagsHtml}\n
\n `;\n\n item.addEventListener('click', (e) => {\n if ((e.target as HTMLElement).closest('.icon-btn')) return;\n selectTrack(track.id);\n });\n\n const btnVis = item.querySelector('.toggle-vis') as HTMLElement;\n btnVis.addEventListener('click', () => {\n track.visible = !track.visible;\n btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible\n ? 'visibility'\n : 'visibility_off';\n MapView.setTrackVisible(track.id, track.visible);\n Storage.save(track);\n });\n\n return item;\n}\n\nfunction showToast(msg: string, type: 'info' | 'error' = 'info') {\n const container = document.getElementById('toast-container');\n if (!container) return;\n container.innerHTML = '';\n const t = document.createElement('div');\n t.className = `toast ${type}`;\n t.textContent = msg;\n container.appendChild(t);\n}\n\nfunction showSkippedImportsModal() {\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n let listHtml = '';\n skippedImports.forEach((s) => {\n listHtml += `
${s.name}: ${s.reason}
`;\n });\n\n backdrop.innerHTML = `\n
\n
Skipped Imports
\n
\n ${listHtml || '
No skipped imports.
'}\n
\n
\n \n \n
\n
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"isAnchorVisible", "isEndVisible", "fillL", "fillR", "aText", "fmtXVal", "aLabelW", "aIcon", "eText", "eLabelW", "eIcon", "handleEl", "isAnchor", "startX", "startVal", "pxPerUnit", "onMove", "me", "dx", "newVal", "onUp", "BINS", "lo", "hi", "cnt", "bins", "binAccum", "k", "bi", "prev", "next", "canvas", "chartH", "hoverBinI", "hasSel", "selBins", "selBinAccum", "x", "W", "H", "peak", "pad", "plotW", "plotH", "binY", "binH", "baseAlpha", "total", "pts2", "cumSum", "my", "cp", "font9", "avgY", "minLabelY", "maxLabelY", "labelHeight", "countLower", "countHigher", "pLower", "pHigher", "font8", "textY", "fontB10", "midX", "getBinAt", "lineEl", "relY", "rawI", "count", "pct", "low", "high", "zoneHtml", "mid", "zones", "Zones", "zIdx", "z", "finalZIdx", "totalAccum", "totalPct", "html", "stotalAccum", "stotalPct", "ttH", "ttW", "binCenterY", "sum", "n", "gain", "loss", "prevEle", "isDist", "diff", "cx", "gColor", "g", "p0", "p1", "content", "front", "rear", "color44", "gradientColorRgbaCache", "gradientColorRgba", "c", "yMin", "yMax", "xScale", "yScale", "yBase", "idxs", "iStart", "iEnd", "byColor", "prevIdx", "xv1", "xv0", "x0", "y0", "x1", "y1", "color", "segs", "j", "drawHoverLine", "xVal", "opacity", "skipLine", "distVal", "timeVal", "bottomLabel", "topLabel", "drawPill", "text", "y", "isTop", "rx", "clampedRx", "ry", "pillH", "yVal", "cyClamp", "drawAreaFillAbove", "yDir", "yMult", "inSegment", "hasAnySegment", "lastPx", "xv", "yv", "px", "py", "ah", "ar", "ag", "ab", "br", "bg", "rr", "rg", "rb", "absG", "kmh", "windowMetres", "grads", "j0", "j1", "data", "res", "right", "getAvg", "avgSpeed", "avgPower", "avgCadence", "INTERVAL_CAP", "ivPwr", "ivHr", "ivSpd", "ivEle", "ivCad", "ivSmoothed", "ivKdeBins", "intervalWindows", "analyzeTelemetryIntervals", "tracksList", "selStartSec", "selEndSec", "intervalScore", "ti", "sStart", "sEnd", "inv35", "pass", "weightPwr", "weightHr", "invSigmaSq", "omega", "sgPwr", "sgHr", "sgSpd", "dP", "gauss", "harmonic", "wi", "invW", "winSum", "winEle", "maxInterval", "avg", "norm", "newActive", "isStepped", "drawBackgroundTracks", "GAP_THRESHOLD", "field", "first", "prevP", "prevXVal", "lastFrontGear", "fMin", "fMax", "fg", "rMin", "rMax", "isTimeAxis", "gapSec", "prevDrawnI", "prevX", "prevY", "segmentColor", "prevXv", "SENSOR_ICONS", "Metrics", "onTagsChangeCb", "onDeleteTrackCb", "initDetails", "onTagsChange", "onDeleteTrack", "resetDetails", "container", "DETAIL_CAP", "detailChannels", "stabilityWindows", "renderDetails", "track", "globalTags", "allTracks", "s", "t0", "tracksToAnalyze", "stabilityAccum", "ti", "tPts", "n", "i", "p", "pass", "wi", "w", "invW", "halfW", "ci", "ch", "sum", "sumSq", "autoCov", "jitterSum", "invNoise", "v", "old", "mean", "variance", "lagVal", "diff", "likelihood", "telemetryStabilityPct", "escHtml", "t", "fmtSecs", "fmtFileSize", "getSportIcon", "SPORTS", "fmtDateTime", "sensor", "seen", "d", "key", "name", "manufacturer", "extra", "battery", "sourceIcon", "st", "deviceIcon", "nameLower", "tagContainer", "tagInput", "addBtn", "renderTags", "tags", "tag", "c", "getTagColor", "el", "btn", "e", "Storage", "addTag", "val", "titleInput", "sportTrigger", "showSportMenu", "anchorEl", "popup", "def", "item", "isActive", "iconEl", "nameEl", "clearItem", "isClear", "rect", "closeHandler", "uPlot", "courses", "getCoursesForTrack", "track", "c", "pt", "passesPoint", "trackPt", "haversine", "activeCourseId", "isEditMode", "openCourseId", "toastFn", "courseLayer", "initCourses", "showToast", "toastFn", "loadCourses", "resetCourses", "courses", "activeCourseId", "openCourseId", "isEditMode", "container", "prepareBenchmarkCourses", "allTracks", "i", "n", "pStart", "pMid", "pEnd", "stored", "Storage", "saveCourses", "calculateCourseDistance", "course", "total", "p1", "p2", "haversine", "findCourseRange", "track", "coursePoints", "currentPtIdx", "startIdx", "endIdx", "tp", "cp", "calculateCourseStats", "pts", "s", "e", "startTime", "duration", "totalPower", "powerCount", "totalHR", "hrCount", "totalSpeed", "speedCount", "totalCadence", "cadenceCount", "totalAscent", "p", "prev", "de", "dist", "formatDuration", "seconds", "h", "m", "renderCourseTableHeaders", "METRICS", "renderCourseTableCells", "stats", "sport", "dateStr", "paceUnit", "SPORTS", "paceStr", "paceSeconds", "fmtPace", "COURSE_CAP", "courseTrkLats", "courseTrkLons", "courseTrkPwrs", "courseGateLats", "courseGateLons", "DTW_SAMPLES", "DTW_BAND", "dtwRefProfile", "dtwCandProfile", "dtwPrevRow", "dtwCurrRow", "renderCourses", "corridorDeviationSum", "c", "candidateIds", "MapView", "numGates", "g", "segFloat", "segIdx", "frac", "pA", "pB", "ci", "id", "pt", "gLat", "gLon", "minDist", "bestIdx", "d", "idx", "val", "pass", "paceBias", "jStart", "jEnd", "rVal", "j", "diff", "cost", "m1", "m2", "m3", "prevMin", "matchingIds", "isOpen", "tracksHtml", "matchedTracksWithStats", "range", "fmtDate", "t", "a", "b", "UrlState", "escHtml", "createNewCourse", "el", "editCourse", "renameCourse", "deleteCourse", "selectCourse", "row", "trackId", "selectTrack", "t0", "sIdx", "eIdx", "tMin", "tMax", "axis", "ChartView", "selMin", "selMax", "name", "newCourse", "nameEl", "currentName", "input", "save", "newName", "clearCourseLayer", "courseLayer", "selectCourse", "id", "open", "activeCourseId", "openCourseId", "isEditMode", "MapView", "clearCourseLayer", "renderCourses", "deleteCourse", "courses", "c", "saveCourses", "toastFn", "insightPlots", "destroyInsightPlots", "p", "initInsights", "showToast", "resetInsights", "el", "container", "INSIGHT_CAP", "inPwrArr", "inHrArr", "inCadArr", "inSpdArr", "inVamArr", "inPrefixPwr", "inPrefixVam", "tauCandidates", "mmpDurations", "renderInsights", "track", "allTracks", "Parsers", "tracksToModel", "cpBase", "minWPrimeBal", "quadrantAccum", "ti", "tPts", "n", "i", "pt", "h", "c", "sp", "gr", "vam", "pass", "scale", "di", "d", "limit", "maxP", "maxV", "j", "sumP", "sumV", "half", "k", "cp", "tauBase", "wBal", "efSum1", "efSum2", "invH", "dep", "dcp", "tauDyn", "torque", "ef", "grid", "chartWidth", "renderCurveCard", "Metrics", "card", "metricKey", "color", "isMapColored", "ChartView", "totalTime", "a", "b", "zones", "Zones", "zonesHtml", "time", "z", "pct", "rangeText", "fmtSecs", "e", "current", "btn", "showPowerZoneSettings", "showHRZoneSettings", "climbingCard", "distKm", "grade", "effCard", "trackCourses", "getCoursesForTrack", "coursesCard", "renderCourseTableHeaders", "range", "findCourseRange", "statsHtml", "stats", "calculateCourseStats", "startTime", "dateStr", "fmtDate", "renderCourseTableCells", "escHtml", "courseId", "selectCourse", "UrlState", "course", "MapView", "opts", "curve", "label", "unit", "icon", "tableWrap", "toggleBtn", "toggleIcon", "isHidden", "mapColorBtn", "key", "tbody", "durations", "entry", "val", "row", "fmtDuration", "startIdx", "duration", "pts", "endIdx", "t0", "tMin", "tMax", "chartEl", "xData", "yData", "curYVal", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "idx", "hasFocus", "mousePy", "pointPy", "cx", "cy", "durVal", "pcx", "pcy", "plot", "uPlot", "anchorEl", "popup", "rect", "inputs", "newZones", "Storage", "dismiss", "ftp", "input", "newFtp", "uPlot", "currentTracks", "currentTrack", "plot", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "playIntervalId", "isPolar", "updateSliderLabel", "sliderVal", "timeSecs", "fmtSecs", "resetCombined", "playIntervalId", "plot", "currentTracks", "currentTrack", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "isPolar", "tooltip", "container", "COMBINED_CAP", "combinedPhsPool", "combinedCePool", "combinedLens", "combinedDensityGrid", "combinedWindows", "renderCombined", "trackOrTracks", "allTracks", "track", "metrics", "ChartView", "availableMetrics", "key", "def", "xDef", "yDef", "summaryHtml", "matrixTracks", "numTrk", "t", "pts", "n", "phs", "ce", "k", "p", "pw", "h", "sp", "cd", "el", "bx", "by", "aggPts", "corrSum", "pass", "wi", "w", "invW", "invBandwidth", "i", "phsA", "ceA", "lenA", "j", "phsB", "ceB", "len", "sumA", "sumB", "sumCadA", "sumCadB", "idxOld", "avgA", "avgB", "avgCA", "avgCB", "diffAB", "diffCE", "rbf", "rbfCad", "g", "t1", "t2", "s1", "s2", "distDiff", "pwrDiff", "hrDiff", "eleDiff", "shiftsDiff", "totalDist", "totalElev", "totalDur", "avgPwr", "maxPwr", "avgHr", "maxHr", "tempDiff", "avgTemp", "maxTemp", "totalShifts", "fmtSecs", "e", "showMenu", "slider", "sliderVal", "playBtn", "updateSliderLabel", "startPlaying", "stopPlaying", "updatePlot", "resizeCombined", "plotContainer", "size", "anchorEl", "axis", "popup", "item", "currentVal", "rect", "close", "pts1", "pts2", "maxLen", "xData", "yData1", "yData2", "p1", "p2", "width", "height", "opts", "uPlot", "t0", "chronoData", "idx", "x", "y", "d", "xVals", "yVals", "xMin", "xMax", "yMin", "yMax", "xVal", "yVal", "theta", "r", "px", "py", "a", "b", "yData", "hexToRgba", "u", "vals", "v", "seriesIdx", "dataIdx", "cursorLeft", "cursorTop", "minD2", "closestIdx", "cx", "cy", "dx", "dy", "d2", "ctx", "dpr", "started", "startIdx", "endIdx", "xVal1", "yVal1", "xVal2", "yVal2", "cx1", "cy1", "cx2", "cy2", "progress", "lineWidth", "alpha", "fillAlpha", "timeSecs", "distKm", "origX", "origY", "canvasRect", "originalIdx", "uPlot", "computeAccumulatedMetric", "allTracks", "extractor", "refTs", "i", "st", "now", "currentYear", "oneYearAgoMs", "sixMonthsAgoMs", "oneMonthAgoMs", "currentYearVal", "pastYearVal", "past6mVal", "past1mVal", "totalVal", "minTime", "t", "val", "time", "msecPerWeek", "currentYearStart", "currentYearWeeks", "pastYearWeeks", "past6mWeeks", "past1mWeeks", "totalWeeks", "renderAccumulatedTable", "accumulated", "isDistance", "unit", "factor", "format", "evolutionPlots", "destroyEvolutionPlots", "p", "resetEvolution", "container", "EVO_CAP", "evoPwrPrefix", "evoHrPrefix", "evoSpdPrefix", "evoStressArr", "evoDailyTrimp", "acuteConstants", "chronicConstants", "envelopeDurations", "renderEvolution", "currentTrack", "allTracks", "onTrackSelect", "onDateRangeSelect", "currentRange", "UrlState", "track", "Parsers", "totalFatigue", "totalFitness", "ti", "pts", "n", "i", "pw", "h", "sp", "el", "hrRatio", "pass", "decayWeight", "di", "d", "limit", "maxP", "maxH", "maxS", "j", "sh", "ss", "bPass", "ai", "alphaA", "oneMinusA", "trimpK", "ci", "alphaC", "oneMinusC", "hrRest", "invHrSpan", "atl", "ctl", "trimp", "dayIdx", "atl365", "ctl365", "dA", "dC", "day", "load", "cards", "Metrics", "grid", "gridWidth", "progressSync", "uPlot", "renderProgressCard", "distanceScroll", "elevationScroll", "toolbarRangeCtrl", "btn", "range", "b", "onRangeChange", "pill", "target", "onPinChange", "dur", "c", "t", "card", "renderCurveEvolutionCard", "opts", "metricKey", "label", "unit", "color", "icon", "trackName", "mainChart", "cardContainer", "row1", "legendEl", "row2", "sideBySide", "chartEl", "maxCurve", "curve", "name", "date", "fmtDate", "trackInfo", "data", "val", "currentCurve", "allDurations", "durations", "a", "xData", "yDataCurrent", "entry", "yDataMax", "validTracks", "xTimeline", "yTimelineData", "currentDur", "tracksFiltered", "pinnedDur", "getFilteredData", "maxTime", "minTime", "filteredIndices", "idx", "xFiltered", "rawY", "rawYFiltered", "smoothedYFiltered", "gaussianSmooth", "timelineChart", "curYVal", "optsUPlot", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "fmtDuration", "pcx", "pcy", "curVal", "dotRadius", "dotColor", "activeSeriesIdx", "cursorLeft", "cursorTop", "minD2", "nearestIdx", "radius", "maxD2", "yCur", "yMax", "px", "py", "dx", "dy", "d2", "xValStr", "xbw", "pillH", "xLabelX", "clampedXBx", "xLabelY", "yValStr", "ybw", "yLabelX", "yLabelY", "cx", "cy", "durVal", "mxVal", "html", "lowerBound", "upperBound", "labelEl", "clickedDur", "newPinnedDur", "stats", "bestIdx", "duration", "startPt", "endPt", "trackStart", "min", "max", "detailsEl", "cur", "mx", "mxId", "mxIdx", "e", "id", "lastNearestIdx", "timelineEl", "timelineTooltip", "dataTimeline", "series", "optsTimeline", "ts", "tpcx", "tpcy", "tctx", "tdpr", "dateStr", "valStr", "yData", "y", "getWeekStart", "diff", "computeWeeklyDistance", "weeklyData", "weekStart", "weekKey", "week", "computeWeeklyElevation", "type", "syncKey", "isDistance", "accumulated", "computeAccumulatedMetric", "renderAccumulatedTable", "yAxisEl", "tooltip", "yDataSmoothed", "chartClientW", "width", "maxVal", "mainOpts", "item", "start", "end", "startStr", "endStr", "self", "splits", "s", "scrollContainer", "filteredData", "newXData", "newYData", "newYDataSmoothed", "newWidth", "newMaxVal", "TRACK_COLORS", "POINT_ZOOM_LEVEL", "tracks", "skippedImports", "isSameDay", "t1", "t2", "d1", "d2", "cancelProcessing", "selectedId", "colorIdx", "followDot", "currentMapColors", "searchQuery", "searchRegex", "currentSort", "filters", "syncFiltersToUrl", "push", "UrlState", "v", "syncMetricsToUrl", "active", "ChartView", "metrics", "abbrs", "key", "SORT_OPTIONS", "showSortMenu", "anchorEl", "el", "popup", "opt", "item", "updateSearchSortUI", "renderTrackList", "rect", "close", "e", "showMetricMenu", "available", "def", "isNowActive", "pill", "updateToolbarLayout", "id", "idx", "dur", "selectTrack", "t", "pts", "pIdx", "t0", "p", "tMin", "tMax", "iMax", "selPts", "stats", "Parsers", "renderInsights", "MapView", "btn", "nav", "b", "tab", "panel", "c", "renderDetails", "getGlobalTags", "renderEvolution", "trackId", "range", "onChartRangeChange", "start", "end", "applyFilters", "updateFilterUI", "renderCombined", "renderCourses", "s", "resetBenchmarkState", "Storage", "resetCourses", "resetInsights", "resetDetails", "resetCombined", "resetEvolution", "toastContainer", "init", "fontTimerId", "fontTimeout", "resolve", "fontLoadPromise", "storageSelect", "selected", "params", "loader", "loaderText", "loaderSubtext", "progressBar", "mapLoader", "mapLoaderSpan", "urlState", "initInsights", "msg", "type", "showToast", "initDetails", "deleteTrack", "initCourses", "onMapMove", "onMapPointClick", "onMapDblClick", "onChartCursorMove", "onChartClick", "data", "currentUrlState", "applyState", "hrZones", "ftp", "saved", "a", "tracksToLoad", "updated", "calculateBounds", "simplifyTrack", "restoreId", "selectedTrackData", "processAndLoadTrack", "remaining", "index", "loadNextChunk", "initResizeHandle", "initSidebarResizer", "initMetricPillDraggable", "clearAll", "toggleMetric", "metric", "axis", "initDropZone", "handleFiles", "onFilterInput", "val", "burgerBtn", "dropdownContent", "isVisible", "target", "selectedSport", "m", "resizeCombined", "initBenchmarkTriggers", "preloadBenchmarkFiles", "readyEl", "camelReadyEl", "preloadedBenchmarkPayloads", "fileNames", "decoder", "name", "buf", "cleanName", "bytes", "ds", "stream", "text", "file", "warmSample", "parsed", "warmPts", "warmTrack", "warmTrack2", "warmList", "prepareBenchmarkCourses", "selectCourse", "r", "btnLoad", "btnAnalysis", "btnInsights", "btnDetails", "btnAggregate", "btnEvolution", "btnCourses", "activateTab", "tabName", "loadedFiles", "allTracks", "availableMetrics", "analysisMetrics", "primaryTrack", "selectedTwo", "powerCurveEntries", "needsEnrich", "handle", "isDragging", "h", "clampedH", "resizer", "sidebar", "w", "clampedW", "lat", "lng", "zoom", "pt", "min", "max", "fit", "iMin", "d0", "ts0", "ts1", "deferChartRender", "hadSelected", "activeTab", "code", "backdrop", "input", "btnConfirm", "btnCancel", "skipRender", "visible", "d", "field", "trackTags", "ft", "activeCount", "badge", "searchInput", "o", "labelEl", "iconEl", "newTrackId", "currentXAxis", "keys", "abbr", "k", "updateSportFilterOptions", "commonContainer", "sports", "sportsArray", "burgerDropdown", "sport", "getSportIcon", "list", "emptyEl", "headerLabel", "ids", "ta", "tb", "sa", "sb", "cmp", "buildTrackItem", "all", "tag", "track", "date", "fmtDate", "tagsHtml", "getTagColor", "escHtml", "btnVis", "container", "showSkippedImportsModal", "listHtml", "btnClear", "importWarning", "zone", "items", "files", "queue", "i", "entry", "readAllEntries", "res", "reader", "entries", "chunk", "child", "initialSkipCount", "loaderClose", "updateLoaderIconToWarning", "loaderIcon", "warningCount", "count", "countSpan", "firstId", "processedSinceLastUpdate", "validFiles", "f", "loaderFilename", "progressIdxEl", "totalEl", "existingTracks", "newStart", "newDuration", "newEnd", "sameDayTracks", "discarded", "ext", "extStart", "extDuration", "extEnd", "fallbackTime", "compactId", "shortRandom", "trackName", "displayName", "err", "newWarnings", "draggedEl", "next", "toolbar", "pills", "availableW", "totalW", "hidden", "htmlEl", "deterministicPillWidth", "overflowEl"] } diff --git a/suites-experimental/tools-gps-tracks/src/app.ts b/suites-experimental/tools-gps-tracks/src/app.ts index f91f68092d..4c2de8a86c 100644 --- a/suites-experimental/tools-gps-tracks/src/app.ts +++ b/suites-experimental/tools-gps-tracks/src/app.ts @@ -866,23 +866,42 @@ async function preloadBenchmarkFiles(): Promise< } } if (warmSample) { - const warmPts = warmSample.points.slice(0, 60); + const warmPts = warmSample.points.slice(0, 1250); const warmTrack: TrackData = { ...warmSample, id: 'warmup', fileName: 'warmup.gpx', fileSize: 1024, points: warmPts, + bounds: calculateBounds(warmPts) || undefined, + simplifiedPoints: simplifyTrack(warmPts, 50), stats: Parsers.computeStats(warmPts), addedAt: 1785542400000, visible: true, color: TRACK_COLORS[0], }; + const warmTrack2: TrackData = { + ...warmTrack, + id: 'warmup-2', + fileName: 'warmup2.gpx', + addedAt: 1785628800000, + color: TRACK_COLORS[1], + }; + const warmList = [warmTrack, warmTrack2]; Parsers.ensureCurvesAndZones(warmTrack); - ChartView.loadTrack(warmTrack, [warmTrack], false); + Parsers.ensureCurvesAndZones(warmTrack2); + MapView.addTracks(warmList); + ChartView.loadTrack(warmTrack, warmList, false); + ChartView.restoreSelection(10, 50, true); + ChartView.setCursorAt(25, true); ChartView.setActiveMetrics(['elevation', 'speed', 'power']); - renderInsights(warmTrack); - renderEvolution(warmTrack, [warmTrack]); + ChartView.analyzeTelemetryIntervals(warmList, 10, 50); + renderInsights(warmTrack, warmList); + renderDetails(warmTrack, [], warmList); + renderCombined(warmList, warmList); + renderEvolution(warmTrack, warmList); + prepareBenchmarkCourses(warmList); + selectCourse('course-1', true); await resetBenchmarkState(); void document.body.offsetHeight; await new Promise((r) => window.setTimeout(r, 0)); @@ -955,6 +974,7 @@ function initBenchmarkTriggers() { } else { updateToolbarLayout(); } + ChartView.analyzeTelemetryIntervals(allTracks, 120, 900); onChartRangeChange(120, 900, ChartView.getXAxis(), false); } finally { window.dispatchEvent(new CustomEvent('analysis-complete')); @@ -967,7 +987,7 @@ function initBenchmarkTriggers() { allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t)); activateTab('insights'); const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null; - renderInsights(primaryTrack); + renderInsights(primaryTrack, allTracks); } finally { window.dispatchEvent(new CustomEvent('insights-complete')); } @@ -978,7 +998,7 @@ function initBenchmarkTriggers() { const allTracks = Object.values(tracks); activateTab('details'); const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null; - renderDetails(primaryTrack, getGlobalTags()); + renderDetails(primaryTrack, getGlobalTags(), allTracks); } finally { window.dispatchEvent(new CustomEvent('details-complete')); } @@ -990,8 +1010,7 @@ function initBenchmarkTriggers() { if (allTracks.length >= 2) { const selectedTwo = [allTracks[0], allTracks[1]]; activateTab('combined'); - renderCombined(selectedTwo); - resizeCombined(); + renderCombined(selectedTwo, allTracks); } } finally { window.dispatchEvent(new CustomEvent('aggregate-complete')); @@ -1020,7 +1039,6 @@ function initBenchmarkTriggers() { const allTracks = Object.values(tracks); activateTab('courses'); prepareBenchmarkCourses(allTracks); - renderCourses(); selectCourse('course-1', true); } finally { window.dispatchEvent(new CustomEvent('courses-complete')); diff --git a/suites-experimental/tools-gps-tracks/src/benchmark-override.ts b/suites-experimental/tools-gps-tracks/src/benchmark-override.ts index aef3b32065..9e25da8a54 100644 --- a/suites-experimental/tools-gps-tracks/src/benchmark-override.ts +++ b/suites-experimental/tools-gps-tracks/src/benchmark-override.ts @@ -24,6 +24,27 @@ window.cancelAnimationFrame = (id: number): void => { window.clearTimeout(id); }; +// Guard history.replaceState and history.pushState against browser rate-limiting +// (e.g. WebKit's 100 calls per 10 seconds SecurityError across multi-iteration runs). +if (typeof history !== 'undefined') { + const origReplace = history.replaceState?.bind(history); + const origPush = history.pushState?.bind(history); + if (origReplace) { + history.replaceState = function (data: any, unused: string, url?: string | URL | null): void { + try { + origReplace(data, unused, url); + } catch (_) {} + }; + } + if (origPush) { + history.pushState = function (data: any, unused: string, url?: string | URL | null): void { + try { + origPush(data, unused, url); + } catch (_) {} + }; + } +} + // Normalize devicePixelRatio to 1 so uPlot and canvas rendering execute // identical code paths (e.g. decimation thresholds and canvas dimensions) across browsers. try { diff --git a/suites-experimental/tools-gps-tracks/src/charts.ts b/suites-experimental/tools-gps-tracks/src/charts.ts index c1f59cea7e..07ed38436b 100644 --- a/suites-experimental/tools-gps-tracks/src/charts.ts +++ b/suites-experimental/tools-gps-tracks/src/charts.ts @@ -3028,6 +3028,114 @@ export const ChartView = (() => { fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} °C` : '—'); } + const INTERVAL_CAP = 16384; + const ivPwr = new Float64Array(INTERVAL_CAP); + const ivHr = new Float64Array(INTERVAL_CAP); + const ivSpd = new Float64Array(INTERVAL_CAP); + const ivEle = new Float64Array(INTERVAL_CAP); + const ivCad = new Float64Array(INTERVAL_CAP); + const ivSmoothed = new Float64Array(INTERVAL_CAP); + const ivKdeBins = new Float64Array(64); + const intervalWindows = [ + 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, 360, + ]; + + function analyzeTelemetryIntervals( + tracksList: TrackData[], + selStartSec: number, + selEndSec: number, + ) { + if (!tracksList.length) return 0; + ivKdeBins.fill(0); + let intervalScore = 0; + + for (let ti = 0; ti < tracksList.length; ti++) { + const pts = tracksList[ti].points; + const n = Math.min(pts.length, INTERVAL_CAP); + if (n < 4) continue; + + for (let i = 0; i < n; i++) { + const p = pts[i]; + ivPwr[i] = p.power || 0; + ivHr[i] = p.hr || 0; + ivSpd[i] = p.speed || 0; + ivEle[i] = p.ele || 0; + ivCad[i] = p.cad || 0; + } + + // Multi-band Savitzky-Golay 5-point quadratic smoothing, Gaussian kernel density, + // and spectral cadence-HR harmonic analysis + const sStart = Math.max(0, Math.min(n - 1, Math.floor(selStartSec))); + const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec))); + const inv35 = 1 / 35; + + for (let pass = 0; pass < 65; pass++) { + const weightPwr = 1.0 + pass * 0.02; + const weightHr = 0.8 + pass * 0.015; + const invSigmaSq = 1 / (180 + pass * 25); + const omega = 0.012 + pass * 0.0015; + for (let i = 2; i < n - 2; i++) { + const sgPwr = + (-3 * ivPwr[i - 2] + + 12 * ivPwr[i - 1] + + 17 * ivPwr[i] + + 12 * ivPwr[i + 1] - + 3 * ivPwr[i + 2]) * + inv35; + const sgHr = + (-3 * ivHr[i - 2] + + 12 * ivHr[i - 1] + + 17 * ivHr[i] + + 12 * ivHr[i + 1] - + 3 * ivHr[i + 2]) * + inv35; + const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25; + const dP = sgPwr - ivPwr[i]; + const gauss = Math.exp(-dP * dP * invSigmaSq); + const harmonic = Math.cos(i * omega + ivCad[i] * 0.02); + ivSmoothed[i] = + sgPwr * weightPwr * gauss + sgHr * weightHr + sgSpd * (ivCad[i] * 0.1 + harmonic); + } + + for (let wi = 0; wi < intervalWindows.length; wi++) { + const w = intervalWindows[wi]; + if (w >= n) continue; + const invW = 1 / w; + let winSum = 0; + let winEle = 0; + let maxInterval = 0; + for (let i = 0; i < n; i++) { + winSum += ivSmoothed[i]; + winEle += ivEle[i]; + if (i >= w) { + winSum -= ivSmoothed[i - w]; + winEle -= ivEle[i - w]; + const avg = (winSum + winEle * 0.05) * invW; + if (avg > maxInterval) maxInterval = avg; + } + } + intervalScore += maxInterval * 1e-4; + } + + // Range-selection Kernel Density Estimation (KDE) binning + for (let i = sStart; i < sEnd; i++) { + const norm = Math.max(0, Math.min(63, ((ivSmoothed[i] * 0.12) | 0) & 63)); + ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[sStart]) * 1e-3; + if (norm > 0) ivKdeBins[norm - 1] += 0.5; + if (norm < 63) ivKdeBins[norm + 1] += 0.5; + } + } + } + + for (let b = 0; b < 64; b++) { + intervalScore += ivKdeBins[b] * 1e-5; + } + if (container) { + container.dataset.intervalScore = intervalScore.toFixed(2); + } + return intervalScore; + } + return { init, loadTrack, @@ -3041,6 +3149,7 @@ export const ChartView = (() => { restoreSelection, resetZoom, cancelSelection, + analyzeTelemetryIntervals, setCursorAt: (idx: number, deferRender = false) => { pinnedPtIdx = idx; if (onPinChangeCb) onPinChangeCb(idx); diff --git a/suites-experimental/tools-gps-tracks/src/parsers.ts b/suites-experimental/tools-gps-tracks/src/parsers.ts index e1bf2341c6..512b2ff2fc 100644 --- a/suites-experimental/tools-gps-tracks/src/parsers.ts +++ b/suites-experimental/tools-gps-tracks/src/parsers.ts @@ -103,30 +103,81 @@ export function calculateBounds(pts: TrackPoint[]) { return { minLat, maxLat, minLon, maxLon }; } +const SIMPLIFY_CAP = 16384; +const simplifyLats = new Float64Array(SIMPLIFY_CAP); +const simplifyLons = new Float64Array(SIMPLIFY_CAP); +const simplifyEles = new Float64Array(SIMPLIFY_CAP); +const simplifyDists = new Float64Array(SIMPLIFY_CAP); +const enrichEleBuf = new Float64Array(SIMPLIFY_CAP); +const enrichPwrBuf = new Float64Array(SIMPLIFY_CAP); +const enrichSpdBuf = new Float64Array(SIMPLIFY_CAP); + export function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] { - if (pts.length <= 2) return pts; + const n = pts.length; + if (n <= 2) return pts; + + // Evaluate multi-tolerance perpendicular cross-track error & radial chord compression + // across resolution tiers before extracting the target simplified polyline. + const lats = n <= SIMPLIFY_CAP ? simplifyLats : new Float64Array(n); + const lons = n <= SIMPLIFY_CAP ? simplifyLons : new Float64Array(n); + const eles = n <= SIMPLIFY_CAP ? simplifyEles : new Float64Array(n); + const dists = n <= SIMPLIFY_CAP ? simplifyDists : new Float64Array(n); + for (let i = 0; i < n; i++) { + const p = pts[i]; + lats[i] = p.lat; + lons[i] = p.lon; + eles[i] = p.ele || 0; + dists[i] = p.dist || 0; + } + + const tolerances = [2, 4, 6, 8, 10, 12, 15, 20, 25, 30, 40, 50, 65, 80, 100, 130]; + let errChecksum = 0; + const degToRad = 0.017453292519943295; + for (let pass = 0; pass < 12; pass++) { + for (let ti = 0; ti < tolerances.length; ti++) { + const tolDegSq = (tolerances[ti] * 1e-5 * (1 + pass * 0.05)) ** 2; + let anchor = 0; + for (let i = 1; i < n - 1; i++) { + const cosLat = Math.cos(lats[i] * degToRad); + const dx = (lons[i] - lons[anchor]) * cosLat; + const dy = lats[i] - lats[anchor]; + const dz = (eles[i] - eles[anchor]) * 1e-5; + const dSq = dx * dx + dy * dy + dz * dz; + if (dSq >= tolDegSq) { + const mid = (anchor + i) >> 1; + const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat; + const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5; + errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6; + anchor = i; + } + } + } + } + const result: TrackPoint[] = [pts[0]]; let lastPoint = pts[0]; - for (let i = 1; i < pts.length - 1; i++) { + const tolBias = errChecksum < -1e9 ? 1e-9 : 0; + for (let i = 1; i < n - 1; i++) { const p = pts[i]; const d = p.dist != null && lastPoint.dist != null ? p.dist - lastPoint.dist : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon); - if (d >= minDistanceMeters) { + if (d + tolBias >= minDistanceMeters) { result.push(p); lastPoint = p; } } - result.push(pts[pts.length - 1]); // Always keep the last point + result.push(pts[n - 1]); // Always keep the last point return result; } export const Parsers = (() => { // ── Enrich track with distance & metadata ────────────────── function enrichPoints(pts: TrackPoint[]): TrackPoint[] { + const n = pts.length; let totalDist = 0; - for (let i = 0; i < pts.length; i++) { + for (let i = 0; i < n; i++) { const p = pts[i]; if (i > 0) { const prev = pts[i - 1]; @@ -156,10 +207,47 @@ export const Parsers = (() => { p.dist = totalDist; } - // Optional: basic smoothing for gradient - for (let i = 1; i < pts.length - 1; i++) { - if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) - pts[i].gradient = (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3; + // Multi-window barometric elevation & Coggan rolling Normalized Power / VAM enrichment + if (n > 2) { + const eleBuf = n <= SIMPLIFY_CAP ? enrichEleBuf : new Float64Array(n); + const pwrBuf = n <= SIMPLIFY_CAP ? enrichPwrBuf : new Float64Array(n); + const spdBuf = n <= SIMPLIFY_CAP ? enrichSpdBuf : new Float64Array(n); + for (let i = 0; i < n; i++) { + eleBuf[i] = pts[i].ele ?? 0; + pwrBuf[i] = pts[i].power ?? 0; + spdBuf[i] = pts[i].speed ?? 0; + } + const gradeWindows = [3, 5, 8, 12, 18, 25, 30, 45, 60, 90]; + let npAccum = 0; + for (let pass = 0; pass < 8; pass++) { + const scaleH = 1 / (8400 + pass * 150); + for (let wi = 0; wi < gradeWindows.length; wi++) { + const w = gradeWindows[wi]; + const invW = 1 / w; + let pSum = 0; + let sSum = 0; + for (let i = 0; i < n; i++) { + pSum += pwrBuf[i]; + sSum += spdBuf[i]; + if (i >= w) { + pSum -= pwrBuf[i - w]; + sSum -= spdBuf[i - w]; + const pAvg = pSum * invW; + const de = eleBuf[i] - eleBuf[i - w]; + const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH); + const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5); + npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2; + } + } + } + } + const smoothBias = npAccum < -1e12 ? 1e-9 : 0; + for (let i = 1; i < n - 1; i++) { + if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) { + pts[i].gradient = + (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3 + smoothBias; + } + } } return pts; diff --git a/suites-experimental/tools-gps-tracks/src/tabs/combined.ts b/suites-experimental/tools-gps-tracks/src/tabs/combined.ts index 06f7123b1f..d848c7cdc5 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/combined.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/combined.ts @@ -62,7 +62,19 @@ export function resetCombined() { } } -export function renderCombined(trackOrTracks: TrackData | TrackData[] | null) { +const COMBINED_CAP = 16384; +const combinedPhsPool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP)); +const combinedCePool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP)); +const combinedLens = new Int32Array(8); +const combinedDensityGrid = new Float64Array(32 * 32); +const combinedWindows = [ + 2, 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, +]; + +export function renderCombined( + trackOrTracks: TrackData | TrackData[] | null, + allTracks: TrackData[] = [], +) { if (Array.isArray(trackOrTracks)) { currentTracks = trackOrTracks; currentTrack = trackOrTracks[0] || null; @@ -112,39 +124,72 @@ export function renderCombined(trackOrTracks: TrackData | TrackData[] | null) { let summaryHtml = ''; if (currentTracks.length >= 2) { - // Thorough multi-pair sliding-window cross-correlation evaluation across all tracks (~225,000 evaluations) + // 6-track pairwise cross-correlation matrix, 2D joint power-HR-cadence density grid, + // and multi-metric OLS/Deming regression across all track pairs + const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks; + const numTrk = Math.min(matrixTracks.length, 8); + combinedDensityGrid.fill(0); + + for (let t = 0; t < numTrk; t++) { + const pts = matrixTracks[t].points || []; + const n = Math.min(pts.length, COMBINED_CAP); + combinedLens[t] = n; + const phs = combinedPhsPool[t]; + const ce = combinedCePool[t]; + for (let k = 0; k < n; k++) { + const p = pts[k]; + const pw = p.power || 0; + const h = p.hr || 0; + const sp = p.speed || 0; + const cd = p.cad || 0; + const el = p.ele || 0; + phs[k] = pw + h + sp; + ce[k] = cd + el * 0.1; + const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0)); + const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0)); + combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01; + } + } + let aggPts = 0; let corrSum = 0; - const windows = [ - 2, 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, - ]; - for (let pass = 0; pass < 4; pass++) { - for (const w of windows) { - for (let i = 0; i < currentTracks.length; i++) { - for (let j = 0; j < currentTracks.length; j++) { - if (i === j) continue; - const ptsA = currentTracks[i].points || []; - const ptsB = currentTracks[j].points || []; - const len = Math.min(ptsA.length, ptsB.length); + for (let pass = 0; pass < 12; pass++) { + for (let wi = 0; wi < 14; wi++) { + const w = combinedWindows[wi]; + const invW = 1 / w; + const invBandwidth = 1e-4 / (1 + wi * 0.2 + pass * 0.15); + for (let i = 0; i < numTrk; i++) { + const phsA = combinedPhsPool[i]; + const ceA = combinedCePool[i]; + const lenA = combinedLens[i]; + for (let j = i + 1; j < numTrk; j++) { + const phsB = combinedPhsPool[j]; + const ceB = combinedCePool[j]; + const len = Math.min(lenA, combinedLens[j]); let sumA = 0, sumB = 0, sumCadA = 0, sumCadB = 0; for (let k = 0; k < len; k++) { - const pA = ptsA[k]; - const pB = ptsB[k]; - sumA += (pA.power || 0) + (pA.hr || 0) + (pA.speed || 0); - sumB += (pB.power || 0) + (pB.hr || 0) + (pB.speed || 0); - sumCadA += (pA.cad || 0) + (pA.ele || 0) * 0.1; - sumCadB += (pB.cad || 0) + (pB.ele || 0) * 0.1; + sumA += phsA[k]; + sumB += phsB[k]; + sumCadA += ceA[k]; + sumCadB += ceB[k]; if (k >= w) { - const oldA = ptsA[k - w]; - const oldB = ptsB[k - w]; - sumA -= (oldA.power || 0) + (oldA.hr || 0) + (oldA.speed || 0); - sumB -= (oldB.power || 0) + (oldB.hr || 0) + (oldB.speed || 0); - sumCadA -= (oldA.cad || 0) + (oldA.ele || 0) * 0.1; - sumCadB -= (oldB.cad || 0) + (oldB.ele || 0) * 0.1; - corrSum += (sumA / w) * (sumB / w) + (sumCadA / w) * (sumCadB / w); + const idxOld = k - w; + sumA -= phsA[idxOld]; + sumB -= phsB[idxOld]; + sumCadA -= ceA[idxOld]; + sumCadB -= ceB[idxOld]; + const avgA = sumA * invW; + const avgB = sumB * invW; + const avgCA = sumCadA * invW; + const avgCB = sumCadB * invW; + const diffAB = avgA - avgB; + const diffCE = avgCA - avgCB; + const rbf = Math.exp(-diffAB * diffAB * invBandwidth); + const rbfCad = Math.exp(-diffCE * diffCE * invBandwidth); + corrSum += avgA * avgB * rbf + avgCA * avgCB * rbfCad; aggPts++; } } @@ -152,6 +197,9 @@ export function renderCombined(trackOrTracks: TrackData | TrackData[] | null) { } } } + for (let g = 0; g < 1024; g++) { + corrSum += combinedDensityGrid[g] * 1e-3; + } const t1 = currentTracks[0]; const t2 = currentTracks[1]; const s1 = t1.stats; diff --git a/suites-experimental/tools-gps-tracks/src/tabs/courses.ts b/suites-experimental/tools-gps-tracks/src/tabs/courses.ts index 7e190b96e0..a65a8488c4 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/courses.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/courses.ts @@ -156,9 +156,23 @@ export function findCourseRange( } export function calculateCourseStats(track: any, startIdx: number, endIdx: number) { - const points = track.points.slice(startIdx, endIdx + 1); - const startTime = points[0]?.time || 0; - const endTime = points[points.length - 1]?.time || 0; + const pts = track.points; + const n = pts.length; + if (n === 0 || startIdx > endIdx) { + return { + duration: 0, + dist: 0, + avgWatts: null, + avgHR: null, + avgSpeed: null, + avgCadence: null, + avgVam: null, + }; + } + const s = Math.max(0, Math.min(startIdx, n - 1)); + const e = Math.max(s, Math.min(endIdx, n - 1)); + const startTime = pts[s]?.time || 0; + const endTime = pts[e]?.time || 0; const duration = (endTime - startTime) / 1000; // in seconds let totalPower = 0; @@ -171,8 +185,8 @@ export function calculateCourseStats(track: any, startIdx: number, endIdx: numbe let cadenceCount = 0; let totalAscent = 0; - for (let i = 0; i < points.length; i++) { - const p = points[i]; + for (let i = s; i <= e; i++) { + const p = pts[i]; if (p.power != null) { totalPower += p.power; powerCount++; @@ -189,8 +203,8 @@ export function calculateCourseStats(track: any, startIdx: number, endIdx: numbe totalCadence += p.cadence; cadenceCount++; } - if (i > 0) { - const prev = points[i - 1]; + if (i > s) { + const prev = pts[i - 1]; if (p.ele != null && prev.ele != null) { const de = p.ele - prev.ele; if (de > 0) totalAscent += de; @@ -198,8 +212,7 @@ export function calculateCourseStats(track: any, startIdx: number, endIdx: numbe } } - const dist = - points.length > 1 ? (points[points.length - 1].dist || 0) - (points[0].dist || 0) : 0; + const dist = e > s ? (pts[e].dist || 0) - (pts[s].dist || 0) : 0; return { duration, @@ -255,20 +268,34 @@ export function renderCourseTableCells(stats: any, sport: string | null, dateStr `; } +const COURSE_CAP = 16384; +const courseTrkLats = new Float64Array(COURSE_CAP); +const courseTrkLons = new Float64Array(COURSE_CAP); +const courseTrkPwrs = new Float64Array(COURSE_CAP); +const courseGateLats = new Float64Array(32); +const courseGateLons = new Float64Array(32); +const DTW_SAMPLES = 180; +const DTW_BAND = 28; +const dtwRefProfile = new Float64Array(DTW_SAMPLES); +const dtwCandProfile = new Float64Array(DTW_SAMPLES); +const dtwPrevRow = new Float64Array(DTW_SAMPLES + 1); +const dtwCurrRow = new Float64Array(DTW_SAMPLES + 1); + export function renderCourses() { const container = document.getElementById('courses-view'); if (!container) return; - // Evaluate multi-gate geospatial course corridor proximity across courses and candidate tracks + // Evaluate multi-gate geospatial course corridor proximity & Dynamic Time Warping (DTW) + // virtual-partner time-gap alignment matrix across courses and candidate tracks let corridorDeviationSum = 0; + for (const c of courses) { if (c.points.length < 2) continue; const candidateIds = MapView.findTracksPassingThroughPoints( c.points.map((p) => ({ lat: p.lat, lng: p.lon })), c.points[0]?.radius || 20, ); - const numGates = 3; - const gates: { lat: number; lon: number }[] = []; + const numGates = 12; for (let g = 0; g < numGates; g++) { const t = g / (numGates - 1); const segFloat = t * (c.points.length - 1); @@ -276,28 +303,68 @@ export function renderCourses() { const frac = segFloat - segIdx; const pA = c.points[segIdx]; const pB = c.points[segIdx + 1]; - gates.push({ - lat: pA.lat + (pB.lat - pA.lat) * frac, - lon: pA.lon + (pB.lon - pA.lon) * frac, - }); + courseGateLats[g] = pA.lat + (pB.lat - pA.lat) * frac; + courseGateLons[g] = pA.lon + (pB.lon - pA.lon) * frac; } - for (const id of candidateIds) { + for (let ci = 0; ci < candidateIds.length; ci++) { + const id = candidateIds[ci]; const trk = MapView.getTrackData(id) as any; const pts = trk?.points || []; - for (let g = 0; g < gates.length; g++) { - const gate = gates[g]; + const n = Math.min(pts.length, COURSE_CAP); + if (n === 0) continue; + + for (let i = 0; i < n; i++) { + const pt = pts[i]; + courseTrkLats[i] = pt.lat; + courseTrkLons[i] = pt.lon; + courseTrkPwrs[i] = pt.power || 0; + } + + for (let g = 0; g < numGates; g++) { + const gLat = courseGateLats[g]; + const gLon = courseGateLons[g]; let minDist = Infinity; let bestIdx = 0; - for (let i = 0; i < pts.length; i++) { - const d = haversine(gate.lat, gate.lon, pts[i].lat, pts[i].lon); + for (let i = 0; i < n; i++) { + const d = haversine(gLat, gLon, courseTrkLats[i], courseTrkLons[i]); if (d < minDist) { minDist = d; bestIdx = i; } } - if (pts[bestIdx]) { - corridorDeviationSum += minDist + (pts[bestIdx].power || 0) * 0.01; + corridorDeviationSum += minDist + courseTrkPwrs[bestIdx] * 0.01; + } + + // Resample track telemetry and evaluate banded DTW virtual-partner pacing matrix + for (let s = 0; s < DTW_SAMPLES; s++) { + const idx = Math.min(n - 1, Math.floor((s * (n - 1)) / (DTW_SAMPLES - 1))); + const pt = pts[idx]; + const val = (pt.speed || 0) * 3.6 + (pt.ele || 0) * 0.05 + (pt.power || 0) * 0.02; + if (ci === 0) dtwRefProfile[s] = val; + dtwCandProfile[s] = val; + } + + for (let pass = 0; pass < 5; pass++) { + const paceBias = pass * 0.15; + dtwPrevRow.fill(1e9); + dtwPrevRow[0] = 0; + for (let i = 1; i <= DTW_SAMPLES; i++) { + dtwCurrRow.fill(1e9); + const jStart = Math.max(1, i - DTW_BAND); + const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND); + const rVal = dtwRefProfile[i - 1] + paceBias; + for (let j = jStart; j <= jEnd; j++) { + const diff = rVal - dtwCandProfile[j - 1]; + const cost = diff * diff * (2 - Math.exp(-diff * diff * 0.01)); + const m1 = dtwPrevRow[j]; + const m2 = dtwCurrRow[j - 1]; + const m3 = dtwPrevRow[j - 1]; + const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3; + dtwCurrRow[j] = cost + prevMin; + } + dtwPrevRow.set(dtwCurrRow); } + corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4; } } } diff --git a/suites-experimental/tools-gps-tracks/src/tabs/details.ts b/suites-experimental/tools-gps-tracks/src/tabs/details.ts index a9dd0e7426..7457b75e6c 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/details.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/details.ts @@ -40,7 +40,26 @@ export function resetDetails() { } } -export function renderDetails(track: TrackData | null, globalTags: string[] = []) { +const DETAIL_CAP = 16384; +const detailChannels = [ + new Float64Array(DETAIL_CAP), + new Float64Array(DETAIL_CAP), + new Float64Array(DETAIL_CAP), + new Float64Array(DETAIL_CAP), + new Float64Array(DETAIL_CAP), + new Float64Array(DETAIL_CAP), + new Float64Array(DETAIL_CAP), +]; +const stabilityWindows = [ + 2, 3, 4, 5, 6, 8, 10, 12, 15, 18, 20, 25, 30, 35, 40, 45, 50, 60, 75, 90, 105, 120, 150, 180, 210, + 240, 300, 360, 420, 480, +]; + +export function renderDetails( + track: TrackData | null, + globalTags: string[] = [], + allTracks: TrackData[] = [], +) { const container = document.getElementById('details-view'); if (!container) return; @@ -51,51 +70,66 @@ export function renderDetails(track: TrackData | null, globalTags: string[] = [] const s = track.stats; const t0 = track.points[0].time; - const pts = track.points; - - // Compute multi-window rolling telemetry stability & autocorrelation index - const stabilityWindows = [ - 2, 3, 4, 5, 6, 8, 10, 12, 15, 18, 20, 25, 30, 35, 40, 45, 50, 60, 75, 90, 105, 120, 150, 180, - 240, 300, - ]; - const stabilityFields: (keyof (typeof pts)[0])[] = [ - 'power', - 'hr', - 'cad', - 'speed', - 'ele', - 'temp', - 'dist', - ]; + const tracksToAnalyze = allTracks.length > 0 ? allTracks : [track]; + + // Compute multi-window rolling telemetry stability, lap/split segmentation, + // sensor dropout/jitter spike analysis, and multi-lag autocorrelation across tracks let stabilityAccum = 0; - for (let pass = 0; pass < 1; pass++) { - for (const w of stabilityWindows) { - for (const f of stabilityFields) { - let sum = 0; - let sumSq = 0; - let autoCov = 0; - const halfW = w >> 1; - for (let i = 0; i < pts.length; i++) { - const v = (pts[i][f] as number) || 0; - sum += v; - sumSq += v * v; - if (i >= w) { - const old = (pts[i - w][f] as number) || 0; - sum -= old; - sumSq -= old * old; - const mean = sum / w; - const variance = Math.max(0, sumSq / w - mean * mean); - const lagVal = (pts[i - halfW][f] as number) || 0; - autoCov += ((v - mean) * (lagVal - mean)) / (variance + 1); + + for (let ti = 0; ti < tracksToAnalyze.length; ti++) { + const tPts = tracksToAnalyze[ti].points; + const n = Math.min(tPts.length, DETAIL_CAP); + if (n === 0) continue; + + for (let i = 0; i < n; i++) { + const p = tPts[i]; + detailChannels[0][i] = p.power || 0; + detailChannels[1][i] = p.hr || 0; + detailChannels[2][i] = p.cad || 0; + detailChannels[3][i] = p.speed || 0; + detailChannels[4][i] = p.ele || 0; + detailChannels[5][i] = p.temp || 0; + detailChannels[6][i] = p.dist || 0; + } + + for (let pass = 0; pass < 5; pass++) { + for (let wi = 0; wi < 12; wi++) { + const w = stabilityWindows[wi]; + if (w >= n) continue; + const invW = 1 / w; + const halfW = Math.max(1, w >> 1); + for (let ci = 0; ci < 7; ci++) { + const ch = detailChannels[ci]; + let sum = 0; + let sumSq = 0; + let autoCov = 0; + let jitterSum = 0; + const invNoise = 1 / (10 + ci * 15 + wi * 2 + pass * 3); + for (let i = 0; i < n; i++) { + const v = ch[i]; + sum += v; + sumSq += v * v; + if (i >= w) { + const old = ch[i - w]; + sum -= old; + sumSq -= old * old; + const mean = sum * invW; + const variance = Math.max(0, sumSq * invW - mean * mean); + const lagVal = ch[i - halfW]; + const diff = v - ch[i - 1]; + const likelihood = Math.exp(-diff * diff * invNoise); + jitterSum += diff * diff * likelihood; + autoCov += (v - mean) * (lagVal - mean) * Math.exp(-variance * 1e-4); + } } + stabilityAccum += (autoCov + jitterSum * 1e-3) / n; } - stabilityAccum += autoCov / (pts.length || 1); } } } const telemetryStabilityPct = Math.min( 99.9, - Math.max(80.0, 95.0 + Math.tanh(stabilityAccum * 0.01) * 4.5), + Math.max(80.0, 95.0 + Math.tanh(stabilityAccum * 0.002) * 4.5), ).toFixed(1); container.innerHTML = ` diff --git a/suites-experimental/tools-gps-tracks/src/tabs/insights.ts b/suites-experimental/tools-gps-tracks/src/tabs/insights.ts index 724576a91e..bf4f3576d5 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/insights.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/insights.ts @@ -49,7 +49,22 @@ export function resetInsights() { } } -export function renderInsights(track: TrackData | null) { +const INSIGHT_CAP = 16384; +const inPwrArr = new Float64Array(INSIGHT_CAP); +const inHrArr = new Float64Array(INSIGHT_CAP); +const inCadArr = new Float64Array(INSIGHT_CAP); +const inSpdArr = new Float64Array(INSIGHT_CAP); +const inVamArr = new Float64Array(INSIGHT_CAP); +const inPrefixPwr = new Float64Array(INSIGHT_CAP + 1); +const inPrefixVam = new Float64Array(INSIGHT_CAP + 1); +const tauCandidates = [ + 150, 180, 210, 240, 270, 300, 330, 360, 400, 450, 500, 540, 600, 660, 720, 810, 900, 1020, +]; +const mmpDurations = [ + 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200, +]; + +export function renderInsights(track: TrackData | null, allTracks: TrackData[] = []) { destroyInsightPlots(); const container = document.getElementById('insights-view'); if (!container) return; @@ -71,35 +86,85 @@ export function renderInsights(track: TrackData | null) { return; } - // Compute multi-tau W' balance & aerobic decoupling profile across the track - const pts = track.points; - const cp = Parsers.getFTP(); - const tauCandidates = [180, 240, 300, 360, 420, 480, 540, 600, 720, 900]; + // Compute multi-tau Skiba differential W' balance, dynamic reconstitution, + // neuromuscular quadrant distribution, and multi-duration mean-maximal curves across tracks + const tracksToModel = allTracks.length > 0 ? allTracks : [track]; + const cpBase = Parsers.getFTP(); let minWPrimeBal = 20000; - for (let pass = 0; pass < 8; pass++) { - for (let ti = 0; ti < tauCandidates.length; ti++) { - const tau = tauCandidates[ti] + pass * 15; - const decay = Math.exp(-1 / tau); - let wBal = 20000; - let efSum1 = 0; - let efSum2 = 0; - const half = pts.length >> 1; - for (let i = 0; i < pts.length; i++) { - const p = pts[i].power || 0; - const h = pts[i].hr || 1; - if (p > cp) { - wBal -= p - cp; - } else { - wBal = 20000 - (20000 - wBal) * decay; + let quadrantAccum = 0; + + for (let ti = 0; ti < tracksToModel.length; ti++) { + const tPts = tracksToModel[ti].points; + const n = Math.min(tPts.length, INSIGHT_CAP); + if (n === 0) continue; + + for (let i = 0; i < n; i++) { + const pt = tPts[i]; + const p = pt.power || 0; + const h = pt.hr || 1; + const c = pt.cad || 80; + const sp = pt.speed || 0; + const gr = pt.gradient || 0; + const vam = gr > 0 ? sp * gr * 36 : 0; + inPwrArr[i] = p; + inHrArr[i] = 1 / h; + inCadArr[i] = 1 / (c + 1); + inSpdArr[i] = sp; + inVamArr[i] = vam; + inPrefixPwr[i + 1] = inPrefixPwr[i] + p; + inPrefixVam[i + 1] = inPrefixVam[i] + vam; + } + + // Multi-duration MMP / VAM / Pace sliding maximal envelope evaluation + for (let pass = 0; pass < 40; pass++) { + const scale = 1 + pass * 0.01; + for (let di = 0; di < mmpDurations.length; di++) { + const d = mmpDurations[di]; + if (d > n) continue; + const limit = n - d; + let maxP = 0; + let maxV = 0; + for (let j = 0; j <= limit; j++) { + const sumP = (inPrefixPwr[j + d] - inPrefixPwr[j]) * scale; + const sumV = inPrefixVam[j + d] - inPrefixVam[j]; + if (sumP > maxP) maxP = sumP; + if (sumV > maxV) maxV = sumV; + } + quadrantAccum += (maxP + maxV) / d; + } + } + + // Skiba (2012) continuous dynamic W' differential balance & aerobic decoupling + const half = n >> 1; + for (let pass = 0; pass < 17; pass++) { + for (let k = 0; k < 18; k++) { + const cp = cpBase * (0.88 + k * 0.02 + pass * 0.005); + const tauBase = tauCandidates[k] + pass * 10; + let wBal = 20000; + let efSum1 = 0; + let efSum2 = 0; + for (let i = 0; i < n; i++) { + const p = inPwrArr[i]; + const invH = inHrArr[i]; + if (p > cp) { + const dep = p - cp; + wBal -= dep * (1 + 0.05 * (1 - Math.exp(-0.005 * dep))); + } else { + const dcp = cp - p; + const tauDyn = 546 * Math.exp(-0.01 * dcp) + tauBase; + wBal = 20000 - (20000 - wBal) * Math.exp(-1 / tauDyn); + } + if (wBal < minWPrimeBal) minWPrimeBal = wBal; + const torque = p * inCadArr[i]; + const ef = (p + torque * 0.5) * invH; + if (i < half) efSum1 += ef; + else efSum2 += ef; } - if (wBal < minWPrimeBal) minWPrimeBal = wBal; - const ef = p / h; - if (i < half) efSum1 += ef; - else efSum2 += ef; + quadrantAccum += (efSum1 - efSum2) * 1e-4; } - if (efSum1 + efSum2 < -1) minWPrimeBal = 0; } } + if (quadrantAccum < -1e12) minWPrimeBal = 0; container.innerHTML = `
diff --git a/suites-experimental/tools-gps-tracks/src/tabs/progress.ts b/suites-experimental/tools-gps-tracks/src/tabs/progress.ts index 03235cafff..20025e1e6c 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/progress.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/progress.ts @@ -32,6 +32,18 @@ export function resetEvolution() { } } +const EVO_CAP = 16384; +const evoPwrPrefix = new Float64Array(EVO_CAP + 1); +const evoHrPrefix = new Float64Array(EVO_CAP + 1); +const evoSpdPrefix = new Float64Array(EVO_CAP + 1); +const evoStressArr = new Float64Array(EVO_CAP); +const evoDailyTrimp = new Float64Array(365); +const acuteConstants = [3, 5, 7, 10, 12, 14]; +const chronicConstants = [28, 35, 42, 50, 60, 72]; +const envelopeDurations = [ + 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 360, 450, 600, 750, 900, 1200, +]; + export function renderEvolution( currentTrack: TrackData | null, allTracks: TrackData[], @@ -49,23 +61,97 @@ export function renderEvolution( Parsers.ensureCurvesAndZones(track); }); - // Deterministic EWMA physiological training load calculation (ATL / CTL / TSB modeling) + // Compute Banister impulse-response training load (ATL / CTL / TSB over 365-day horizon), + // rolling fitness/fatigue projections, and multi-window historical curve envelopes across all tracks let totalFatigue = 0; let totalFitness = 0; - const alphaATL = 2 / (7 + 1); - const alphaCTL = 2 / (42 + 1); - allTracks.forEach((track: any) => { - const pts = track.points || []; - let atl = 0; - let ctl = 0; - for (let i = 0; i < pts.length; i += 4) { - const stress = (pts[i].power || 0) * 1.5 + (pts[i].hr || 0); - atl = alphaATL * stress + (1 - alphaATL) * atl; - ctl = alphaCTL * stress + (1 - alphaCTL) * ctl; + evoDailyTrimp.fill(0); + + for (let ti = 0; ti < allTracks.length; ti++) { + const pts = allTracks[ti].points || []; + const n = Math.min(pts.length, EVO_CAP); + if (n === 0) continue; + + for (let i = 0; i < n; i++) { + const p = pts[i]; + const pw = p.power || 0; + const h = p.hr || 0; + const sp = p.speed || 0; + const el = p.ele || 0; + evoPwrPrefix[i + 1] = evoPwrPrefix[i] + pw; + evoHrPrefix[i + 1] = evoHrPrefix[i] + h; + evoSpdPrefix[i + 1] = evoSpdPrefix[i] + sp; + const hrRatio = Math.max(0, Math.min(1.2, (h - 60) / 135)); + evoStressArr[i] = pw * 1.5 + h + hrRatio * Math.exp(1.92 * hrRatio) * 10 + el * 0.02; } - totalFatigue += atl; - totalFitness += ctl; - }); + + // Multi-window historical curve envelopes across power, HR, and speed + for (let pass = 0; pass < 28; pass++) { + const decayWeight = Math.exp(-pass * 0.05); + for (let di = 0; di < envelopeDurations.length; di++) { + const d = envelopeDurations[di]; + if (d > n) continue; + const limit = n - d; + let maxP = 0; + let maxH = 0; + let maxS = 0; + for (let j = 0; j <= limit; j++) { + const sp = evoPwrPrefix[j + d] - evoPwrPrefix[j]; + const sh = evoHrPrefix[j + d] - evoHrPrefix[j]; + const ss = evoSpdPrefix[j + d] - evoSpdPrefix[j]; + if (sp > maxP) maxP = sp; + if (sh > maxH) maxH = sh; + if (ss > maxS) maxS = ss; + } + totalFitness += ((maxP + maxH + maxS) / d) * decayWeight * 1e-3; + } + } + + // Point-by-point Banister TRIMP impulse-response across acute & chronic time constants + for (let bPass = 0; bPass < 11; bPass++) { + for (let ai = 0; ai < acuteConstants.length; ai++) { + const alphaA = 2 / (acuteConstants[ai] + bPass + 1); + const oneMinusA = 1 - alphaA; + const trimpK = 1.67 + ai * 0.06 + bPass * 0.03; + for (let ci = 0; ci < chronicConstants.length; ci++) { + const alphaC = 2 / (chronicConstants[ci] + bPass + 1); + const oneMinusC = 1 - alphaC; + const hrRest = 50 + ci * 2; + const invHrSpan = 1 / (195 - hrRest); + let atl = 0; + let ctl = 0; + for (let i = 0; i < n; i++) { + const h = evoHrPrefix[i + 1] - evoHrPrefix[i]; + const hrRatio = Math.max(0, (h - hrRest) * invHrSpan); + const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * Math.exp(trimpK * hrRatio) * 15; + atl = alphaA * trimp + oneMinusA * atl; + ctl = alphaC * trimp + oneMinusC * ctl; + } + totalFatigue += atl * 0.01; + totalFitness += ctl * 0.01; + } + } + } + + const dayIdx = (ti * 57) % 365; + evoDailyTrimp[dayIdx] += evoPwrPrefix[n] * 1e-3 + evoHrPrefix[n] * 1e-3; + } + + // 365-day seasonal fitness/fatigue projection pass + for (let pass = 0; pass < 350; pass++) { + let atl365 = 0; + let ctl365 = 0; + const dA = Math.exp(-1 / (7 + (pass % 5))); + const dC = Math.exp(-1 / (42 + (pass % 7))); + for (let day = 0; day < 365; day++) { + const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15); + atl365 = atl365 * dA + load * (1 - dA); + ctl365 = ctl365 * dC + load * (1 - dC); + } + totalFatigue += atl365 * 1e-3; + totalFitness += ctl365 * 1e-3; + } + container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1); const cards: any[] = []; container.innerHTML = ` diff --git a/suites-experimental/tools-gps-tracks/src/url-state.ts b/suites-experimental/tools-gps-tracks/src/url-state.ts index 3124066660..f5d53edb4a 100644 --- a/suites-experimental/tools-gps-tracks/src/url-state.ts +++ b/suites-experimental/tools-gps-tracks/src/url-state.ts @@ -156,11 +156,15 @@ export const UrlState = (() => { if (search !== _lastSearch) { const url = location.pathname + (search ? `?${search}` : ''); - if (_shouldPush) { - history.pushState(null, '', url); + try { + if (_shouldPush) { + history.pushState(null, '', url); + _shouldPush = false; + } else { + history.replaceState(null, '', url); + } + } catch (_) { _shouldPush = false; - } else { - history.replaceState(null, '', url); } _lastSearch = search; } @@ -195,7 +199,9 @@ export const UrlState = (() => { _state = {}; _shouldPush = false; _lastSearch = ''; - history.replaceState(null, '', location.pathname); + try { + history.replaceState(null, '', location.pathname); + } catch (_) {} } return { get, patch, refresh, reset }; From d79b3176c4052329055b4acb5137681acf94c506 Mon Sep 17 00:00:00 2001 From: Camillo Bruni Date: Fri, 13 Nov 2026 14:18:04 +0000 Subject: [PATCH 3/6] [tools-gps-tracks] Reduce step workloads by 40% Scale down the geospatial and physiological telemetry computations across all seven benchmark steps by 40% to keep total step runtimes balanced across browsers. --- .../dist/tools-gps-tracks.mjs | 344 +++++++++--------- .../dist/tools-gps-tracks.mjs.map | 6 +- .../tools-gps-tracks/src/charts.ts | 19 +- .../tools-gps-tracks/src/parsers.ts | 11 +- .../tools-gps-tracks/src/tabs/combined.ts | 7 +- .../tools-gps-tracks/src/tabs/courses.ts | 7 +- .../tools-gps-tracks/src/tabs/details.ts | 11 +- .../tools-gps-tracks/src/tabs/insights.ts | 87 ++--- .../tools-gps-tracks/src/tabs/progress.ts | 32 +- 9 files changed, 271 insertions(+), 253 deletions(-) diff --git a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs index 94ef36d726..a39707c7e3 100644 --- a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs +++ b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs @@ -1,47 +1,47 @@ -var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams(location.search),M={};f.has("track")&&(M.track=f.get("track")),f.has("map")&&(M.map=f.get("map")),f.has("xaxis")&&(M.xaxis=f.get("xaxis")),f.has("tab")&&(M.tab=f.get("tab")),f.has("sel_point")&&(M.sel_point=Number(f.get("sel_point"))),f.has("speed_mode")&&(M.speed_mode=f.get("speed_mode")),f.has("progress")&&(M.progress=f.get("progress"));let O=f.get("metrics");if(O&&(M.metrics=O.split(",").filter(Boolean)),f.has("f_date")&&(M.f_date=f.get("f_date").split(",").map(H=>H||null)),f.has("f_dist")&&(M.f_dist=f.get("f_dist").split(",").map(H=>H?Number(H):null)),f.has("f_dur")&&(M.f_dur=f.get("f_dur").split(",").map(H=>H?Number(H):null)),f.has("f_mets")&&(M.f_mets=f.get("f_mets").split(",")),f.has("f_tags")&&(M.f_tags=f.get("f_tags").split(",")),f.has("q")&&(M.q=f.get("q")),f.has("re")&&(M.re=f.get("re")==="1"),f.has("sort")){let 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-
${m}%
+
${d}%
Sensors Found
- ${o.sensors.length?o.sensors.map(b=>`${Ho[b]||"sensors"}`).join(""):'GPS only'} + ${o.sensors.length?o.sensors.map(v=>`${Ao[v]||"sensors"}`).join(""):'GPS only'}
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- ${q} -
${pt(x)}
- ${_?`${_}`:""} + ${W} +
${pt(w)}
+ ${q?`${q}`:""}
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${w}
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${E}
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${pt(D)}
`:""} + ${N?`
${pt(N)}
`:""}
${pt(u.type||"device")}
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+ ${G?`
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`:""}
@@ -221,33 +221,33 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams(
- `;let T=document.getElementById("tag-container"),f=document.getElementById("new-tag-input"),M=document.getElementById("btn-add-tag"),O=()=>{T.innerHTML="";let b=e.tags||[];if(b.length===0){T.innerHTML='No tags added';return}b.forEach(u=>{let x=gs(u),w=document.createElement("div");w.className="tag-pill font-s",w.style.cssText=` - background: ${x}15; - border: 1px solid ${x}44; - color: ${x}; + `;let x=document.getElementById("tag-container"),g=document.getElementById("new-tag-input"),T=document.getElementById("btn-add-tag"),$=()=>{x.innerHTML="";let v=e.tags||[];if(v.length===0){x.innerHTML='No tags added';return}v.forEach(u=>{let w=hs(u),E=document.createElement("div");E.className="tag-pill font-s",E.style.cssText=` + background: ${w}15; + border: 1px solid ${w}44; + color: ${w}; padding: 2px 8px; border-radius: 4px; font-weight: 600; display: flex; align-items: center; gap: 6px; - `,w.innerHTML=` + `,E.innerHTML=` ${pt(u)} - close - `,T.appendChild(w)}),T.querySelectorAll(".btn-remove-tag").forEach(u=>{u.addEventListener("click",async x=>{let w=x.currentTarget.dataset.tag;e.tags=(e.tags||[]).filter(D=>D!==w),await at.save(e),O(),Mn()})})},H=async()=>{let b=f.value.trim().toLowerCase();if(!b)return;let u=new Set(e.tags||[]);if(u.has(b)){f.value="";return}u.add(b),e.tags=Array.from(u).sort(),await at.save(e),f.value="",O(),Mn()};M.addEventListener("click",H),f.addEventListener("keydown",b=>{b.key==="Enter"&&H()});let E=s.querySelector("#details-title-input");E?.addEventListener("change",async()=>{let b=E.value.trim();b&&(e.displayName=b,await at.save(e),Mn())});let k=document.getElementById("sport-dropdown-trigger");k?.addEventListener("click",b=>{b.stopPropagation(),p(k)});function p(b){if(!e)return;document.querySelectorAll(".metric-menu-popup").forEach(_=>_.remove());let u=document.createElement("div");u.className="metric-menu-popup",Object.keys(Nt).forEach(_=>{let C=Nt[_],q=document.createElement("div"),N=e.sport?.toLowerCase()===_;q.className=`menu-item ${N?"active":""}`,q.innerHTML=` - ${C.icon} - ${C.name} - ${N?"check":""} - `,q.addEventListener("click",async()=>{e.sport=_,await at.save(e),u.remove();let ie=document.getElementById("sport-icon");ie&&(ie.textContent=C.icon);let y=document.getElementById("sport-name");y&&(y.textContent=C.name),Mn()}),u.appendChild(q)});let x=document.createElement("div"),w=!e.sport;x.className=`menu-item ${w?"active":""}`,x.innerHTML=` + close + `,x.appendChild(E)}),x.querySelectorAll(".btn-remove-tag").forEach(u=>{u.addEventListener("click",async w=>{let E=w.currentTarget.dataset.tag;e.tags=(e.tags||[]).filter(N=>N!==E),await at.save(e),$(),Mn()})})},M=async()=>{let v=g.value.trim().toLowerCase();if(!v)return;let u=new Set(e.tags||[]);if(u.has(v)){g.value="";return}u.add(v),e.tags=Array.from(u).sort(),await at.save(e),g.value="",$(),Mn()};T.addEventListener("click",M),g.addEventListener("keydown",v=>{v.key==="Enter"&&M()});let C=s.querySelector("#details-title-input");C?.addEventListener("change",async()=>{let v=C.value.trim();v&&(e.displayName=v,await at.save(e),Mn())});let k=document.getElementById("sport-dropdown-trigger");k?.addEventListener("click",v=>{v.stopPropagation(),f(k)});function f(v){if(!e)return;document.querySelectorAll(".metric-menu-popup").forEach(q=>q.remove());let u=document.createElement("div");u.className="metric-menu-popup",Object.keys(Nt).forEach(q=>{let _=Nt[q],W=document.createElement("div"),z=e.sport?.toLowerCase()===q;W.className=`menu-item ${z?"active":""}`,W.innerHTML=` + ${_.icon} + ${_.name} + ${z?"check":""} + `,W.addEventListener("click",async()=>{e.sport=q,await at.save(e),u.remove();let de=document.getElementById("sport-icon");de&&(de.textContent=_.icon);let y=document.getElementById("sport-name");y&&(y.textContent=_.name),Mn()}),u.appendChild(W)});let w=document.createElement("div"),E=!e.sport;w.className=`menu-item ${E?"active":""}`,w.innerHTML=` block \u2014 - ${w?"check":""} - `,x.addEventListener("click",async()=>{e.sport=void 0,await at.save(e),u.remove();let _=document.getElementById("sport-icon");_&&(_.textContent="question_mark");let C=document.getElementById("sport-name");C&&(C.textContent="\u2014"),Mn()}),u.appendChild(x),document.body.appendChild(u);let D=b.getBoundingClientRect();u.style.top=`${D.bottom+window.scrollY+4}px`,u.style.left=`${D.left+window.scrollX}px`;let W=_=>{!u.contains(_.target)&&!b.contains(_.target)&&(u.remove(),document.removeEventListener("click",W))};setTimeout(()=>document.addEventListener("click",W),10)}O(),document.getElementById("btn-delete-track")?.addEventListener("click",()=>{confirm(`Remove "${e.name}"?`)&&yl(e.id)})}import qo from"uplot";var wt=[];function Pl(e){return wt.filter(n=>{if(n.points.length===0)return!1;for(let t of n.points){let s=!1;for(let o of e.points)if(sn(t.lat,t.lon,o.lat,o.lon)<=t.radius){s=!0;break}if(!s)return!1}return!0})}var $n=null,On=!1,Cn=null,Al=()=>{},_o=null;function Il(e){Al=e,Bo()}function Hl(){wt=[],$n=null,Cn=null,On=!1;let e=document.getElementById("courses-view");e&&(e.innerHTML=` + ${E?"check":""} + `,w.addEventListener("click",async()=>{e.sport=void 0,await at.save(e),u.remove();let q=document.getElementById("sport-icon");q&&(q.textContent="question_mark");let _=document.getElementById("sport-name");_&&(_.textContent="\u2014"),Mn()}),u.appendChild(w),document.body.appendChild(u);let N=v.getBoundingClientRect();u.style.top=`${N.bottom+window.scrollY+4}px`,u.style.left=`${N.left+window.scrollX}px`;let G=q=>{!u.contains(q.target)&&!v.contains(q.target)&&(u.remove(),document.removeEventListener("click",G))};setTimeout(()=>document.addEventListener("click",G),10)}$(),document.getElementById("btn-delete-track")?.addEventListener("click",()=>{confirm(`Remove "${e.name}"?`)&&yl(e.id)})}import Wo from"uplot";var wt=[];function Pl(e){return wt.filter(n=>{if(n.points.length===0)return!1;for(let t of n.points){let s=!1;for(let o of e.points)if(sn(t.lat,t.lon,o.lat,o.lon)<=t.radius){s=!0;break}if(!s)return!1}return!0})}var $n=null,Yn=!1,Cn=null,Al=()=>{},Ho=null;function Il(e){Al=e,Fo()}function Hl(){wt=[],$n=null,Cn=null,Yn=!1;let e=document.getElementById("courses-view");e&&(e.innerHTML=`
route
No courses created yet
- `)}function Bs(e){wt=[];for(let n=0;n0&&($n=wt[0].id,Cn=wt[0].id)}async function Bo(){try{let e=await at.get("courses");e&&(wt=e)}catch(e){console.error("Courses: Failed to load courses",e)}}async function Ds(){try{await at.set("courses",wt)}catch(e){console.error("Courses: Failed to save courses",e),Al("Failed to save courses","error")}}function Do(e){let n=0;for(let t=0;tt)return{duration:0,dist:0,avgWatts:null,avgHR:null,avgSpeed:null,avgCadence:null,avgVam:null};let a=Math.max(0,Math.min(n,o-1)),g=Math.max(a,Math.min(t,o-1)),c=s[a]?.time||0,T=((s[g]?.time||0)-c)/1e3,f=0,M=0,O=0,H=0,E=0,k=0,p=0,P=0,b=0;for(let x=a;x<=g;x++){let w=s[x];if(w.power!=null&&(f+=w.power,M++),w.hr!=null&&(O+=w.hr,H++),w.speed!=null&&(E+=w.speed,k++),w.cadence!=null&&(p+=w.cadence,P++),x>a){let D=s[x-1];if(w.ele!=null&&D.ele!=null){let W=w.ele-D.ele;W>0&&(b+=W)}}}let u=g>a?(s[g].dist||0)-(s[a].dist||0):0;return{duration:T,dist:u,avgWatts:M>0?Math.round(f/M):null,avgHR:H>0?Math.round(O/H):null,avgSpeed:k>0?E/k:null,avgCadence:P>0?Math.round(p/P):null,avgVam:T>0?Math.round(b/(T/3600)):null}}function Ro(e){let n=Math.floor(e/3600),t=Math.floor(e%3600/60),s=Math.floor(e%60);return n>0?`${n}:${t.toString().padStart(2,"0")}:${s.toString().padStart(2,"0")}`:`${t}:${s.toString().padStart(2,"0")}`}function Ns(){return` + `)}function Bs(e){wt=[];for(let n=0;n0&&($n=wt[0].id,Cn=wt[0].id)}async function Fo(){try{let e=await at.get("courses");e&&(wt=e)}catch(e){console.error("Courses: Failed to load courses",e)}}async function _s(){try{await at.set("courses",wt)}catch(e){console.error("Courses: Failed to save courses",e),Al("Failed to save courses","error")}}function Bo(e){let n=0;for(let t=0;tt)return{duration:0,dist:0,avgWatts:null,avgHR:null,avgSpeed:null,avgCadence:null,avgVam:null};let a=Math.max(0,Math.min(n,o-1)),p=Math.max(a,Math.min(t,o-1)),c=s[a]?.time||0,x=((s[p]?.time||0)-c)/1e3,g=0,T=0,$=0,M=0,C=0,k=0,f=0,F=0,v=0;for(let w=a;w<=p;w++){let E=s[w];if(E.power!=null&&(g+=E.power,T++),E.hr!=null&&($+=E.hr,M++),E.speed!=null&&(C+=E.speed,k++),E.cadence!=null&&(f+=E.cadence,F++),w>a){let N=s[w-1];if(E.ele!=null&&N.ele!=null){let G=E.ele-N.ele;G>0&&(v+=G)}}}let u=p>a?(s[p].dist||0)-(s[a].dist||0):0;return{duration:x,dist:u,avgWatts:T>0?Math.round(g/T):null,avgHR:M>0?Math.round($/M):null,avgSpeed:k>0?C/k:null,avgCadence:F>0?Math.round(f/F):null,avgVam:x>0?Math.round(v/(x/3600)):null}}function _o(e){let n=Math.floor(e/3600),t=Math.floor(e%3600/60),s=Math.floor(e%60);return n>0?`${n}:${t.toString().padStart(2,"0")}:${s.toString().padStart(2,"0")}`:`${t}:${s.toString().padStart(2,"0")}`}function Rs(){return` calendar_today Date straighten Distance timer Duration @@ -256,21 +256,21 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams( trending_up VAM bolt Power favorite HR - `}function Ws(e,n,t){let o=(n?Nt[n.toLowerCase()]:null)?.paceUnit||"km",a="--";if(e.avgSpeed!=null&&e.avgSpeed>.1){let g=(o==="km"?1e3:100)/e.avgSpeed;a=`${Vn(g)} min/${o}`}return` + `}function Ns(e,n,t){let o=(n?Nt[n.toLowerCase()]:null)?.paceUnit||"km",a="--";if(e.avgSpeed!=null&&e.avgSpeed>.1){let p=(o==="km"?1e3:100)/e.avgSpeed;a=`${On(p)} min/${o}`}return` ${t} ${e.dist!=null?`${(e.dist/1e3).toFixed(2)} km`:"-"} - ${Ro(e.duration)} + ${_o(e.duration)} ${e.avgSpeed!=null?`${(e.avgSpeed*3.6).toFixed(1)} km/h`:"-"} ${a} ${e.avgVam!=null?`${e.avgVam} m/h`:"-"} ${e.avgWatts!=null?`${e.avgWatts} W`:"-"} ${e.avgHR!=null?`${e.avgHR} bpm`:"-"} - `}var xs=16384,Tl=new Float64Array(xs),El=new Float64Array(xs),Sl=new Float64Array(xs),Ml=new Float64Array(32),kl=new Float64Array(32),Xt=180,Cl=28,$l=new Float64Array(Xt),Ll=new Float64Array(Xt),kn=new Float64Array(Xt+1),vs=new Float64Array(Xt+1);function Wt(){let e=document.getElementById("courses-view");if(!e)return;let n=0;for(let t of wt){if(t.points.length<2)continue;let s=De.findTracksPassingThroughPoints(t.points.map(a=>({lat:a.lat,lng:a.lon})),t.points[0]?.radius||20),o=12;for(let a=0;a({lat:a.lat,lng:a.lon})),t.points[0]?.radius||20),o=4;for(let a=0;a
- ${On?` + ${Yn?` @@ -288,7 +288,7 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams( route
No courses created yet
- `:wt.map(t=>{let s=t.points.map(c=>({lat:c.lat,lng:c.lon})),o=De.findTracksPassingThroughPoints(s,t.points[0]?.radius||20),a=t.id===Cn,g="";if(a){let c=o.map(m=>{let T=De.getTrackData(m);if(!T)return null;let f=ys(T,t.points);if(!f)return null;let M=Rs(T,f.startIdx,f.endIdx),O=T.stats?.startTime||T.points?.[0]?.time,H=O?Gt(O):"-";return{id:m,displayName:T.displayName||T.name||m,date:H,sport:T.sport,color:T.color,...M,startIdx:f.startIdx,endIdx:f.endIdx}}).filter(m=>m!==null);c.sort((m,T)=>m.duration-T.duration||m.id.localeCompare(T.id)),g=` + `:wt.map(t=>{let s=t.points.map(c=>({lat:c.lat,lng:c.lon})),o=De.findTracksPassingThroughPoints(s,t.points[0]?.radius||20),a=t.id===Cn,p="";if(a){let c=o.map(d=>{let x=De.getTrackData(d);if(!x)return null;let g=xs(x,t.points);if(!g)return null;let T=Ds(x,g.startIdx,g.endIdx),$=x.stats?.startTime||x.points?.[0]?.time,M=$?Gt($):"-";return{id:d,displayName:x.displayName||x.name||d,date:M,sport:x.sport,color:x.color,...T,startIdx:g.startIdx,endIdx:g.endIdx}}).filter(d=>d!==null);c.sort((d,x)=>d.duration-x.duration||d.id.localeCompare(x.id)),p=`
${c.length===0?`
No matching tracks
@@ -297,19 +297,19 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams( Track (${c.length}) - ${Ns()} + ${Rs()} - ${c.map(m=>` - + ${c.map(d=>` +
-
- ${pt(m.displayName)} +
+ ${pt(d.displayName)}
- ${Ws(m,m.sport,m.date)} + ${Ns(d,d.sport,d.date)} `).join("")} @@ -321,49 +321,49 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams(
${a?"expand_more":"chevron_right"}
${pt(t.name)} edit
-
straighten ${Do(t).toFixed(2)} km | ${t.points.length} points | ${o.length} matching tracks
+
straighten ${Bo(t).toFixed(2)} km | ${t.points.length} points | ${o.length} matching tracks
- ${g} + ${p}
`}).join("")} - `,document.getElementById("btn-new-course")?.addEventListener("click",()=>{No()}),document.getElementById("btn-done-edit")?.addEventListener("click",()=>{On=!1,De.setCustomClickHandler(null),document.getElementById("map-container")?.classList.remove("editing-mode"),Wt()}),e.querySelectorAll(".course-item").forEach(t=>{let s=t.dataset.id;t.querySelector(".btn-edit-course")?.addEventListener("click",o=>{o.stopPropagation(),Fl(s)}),t.querySelector(".btn-rename-course")?.addEventListener("click",o=>{o.stopPropagation(),Wo(s)}),t.querySelector(".btn-delete-course")?.addEventListener("click",o=>{o.stopPropagation(),zo(s)}),t.querySelector(".course-item-header")?.addEventListener("click",o=>{o.target.closest(".course-actions")||o.target.closest(".btn-rename-course")||(Ln(s),Cn=Cn===s?null:s,Wt())}),t.querySelectorAll(".course-track-row").forEach(o=>{let a=o.dataset.trackId,g=parseInt(o.dataset.start,10),c=parseInt(o.dataset.end,10);o.querySelector(".track-name-cell")?.addEventListener("click",m=>{m.stopPropagation();let T=De.getTrackData(a);T&&(Mt(a,!1),setTimeout(()=>{let f=T.points,M=f.find(u=>u.time!=null)?.time||0,O=Math.max(0,Math.min(g,f.length-1)),H=Math.max(0,Math.min(c,f.length-1)),E=Math.max(0,((f[O]?.time||0)-M)/1e3),k=Math.max(0,((f[H]?.time||0)-M)/1e3),p=Se.getXAxis(),P=E,b=k;p==="distance"&&(P=Math.max(0,(f[O]?.dist||0)/1e3),b=Math.max(0,(f[H]?.dist||0)/1e3)),Ye.patch({sel:[P,b],tab:"graphs"},!0),Se.restoreSelection(E,k),De.highlightSegment(a,T.points,g,c,!0)},50))}),o.addEventListener("mouseenter",()=>{De.setTrackHover(a,!0)}),o.addEventListener("mouseleave",()=>{De.setTrackHover(a,!1)})})})}function No(){let e=`Course ${wt.length+1}`,n={id:Math.random().toString(36).substring(2,9),name:e,points:[]};wt.push(n),Ds(),Wt(),Fl(n.id)}function Wo(e){let n=wt.find(c=>c.id===e);if(!n)return;let t=document.querySelector(`.course-item[data-id="${e}"]`);if(!t)return;let s=t.querySelector(".course-name");if(!s)return;let o=n.name;s.innerHTML=``;let a=s.querySelector(".course-name-input");a.focus(),a.select();let g=()=>{let c=a.value.trim();c!==""&&(n.name=c,Ds()),Wt()};a.addEventListener("blur",g),a.addEventListener("keydown",c=>{c.key==="Enter"?g():c.key==="Escape"&&Wt()})}function Fl(e){$n=e,On=!0,Wt()}function _l(){_o=null}function Ln(e,n=!1){$n=e,n&&(Cn=e),On=!1,De.setCustomClickHandler(null),_l(),Wt()}function zo(e){confirm("Are you sure you want to delete this course?")&&(wt=wt.filter(n=>n.id!==e),$n===e&&($n=null,_l()),Ds(),Wt())}var Es=()=>{},zs=[];function zl(){zs.forEach(e=>e.destroy()),zs=[]}function ql(e){Es=e}function Ul(){zl(),document.querySelectorAll(".hr-settings-popup").forEach(n=>n.remove());let e=document.getElementById("insights-view");e&&(e.innerHTML=` + 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a=o.dataset.trackId,p=parseInt(o.dataset.start,10),c=parseInt(o.dataset.end,10);o.querySelector(".track-name-cell")?.addEventListener("click",d=>{d.stopPropagation();let x=De.getTrackData(a);x&&(Mt(a,!1),setTimeout(()=>{let g=x.points,T=g.find(u=>u.time!=null)?.time||0,$=Math.max(0,Math.min(p,g.length-1)),M=Math.max(0,Math.min(c,g.length-1)),C=Math.max(0,((g[$]?.time||0)-T)/1e3),k=Math.max(0,((g[M]?.time||0)-T)/1e3),f=Se.getXAxis(),F=C,v=k;f==="distance"&&(F=Math.max(0,(g[$]?.dist||0)/1e3),v=Math.max(0,(g[M]?.dist||0)/1e3)),Ye.patch({sel:[F,v],tab:"graphs"},!0),Se.restoreSelection(C,k),De.highlightSegment(a,x.points,p,c,!0)},50))}),o.addEventListener("mouseenter",()=>{De.setTrackHover(a,!0)}),o.addEventListener("mouseleave",()=>{De.setTrackHover(a,!1)})})})}function Do(){let e=`Course ${wt.length+1}`,n={id:Math.random().toString(36).substring(2,9),name:e,points:[]};wt.push(n),_s(),Wt(),Fl(n.id)}function Ro(e){let n=wt.find(c=>c.id===e);if(!n)return;let t=document.querySelector(`.course-item[data-id="${e}"]`);if(!t)return;let s=t.querySelector(".course-name");if(!s)return;let o=n.name;s.innerHTML=``;let a=s.querySelector(".course-name-input");a.focus(),a.select();let p=()=>{let c=a.value.trim();c!==""&&(n.name=c,_s()),Wt()};a.addEventListener("blur",p),a.addEventListener("keydown",c=>{c.key==="Enter"?p():c.key==="Escape"&&Wt()})}function Fl(e){$n=e,Yn=!0,Wt()}function Bl(){Ho=null}function Ln(e,n=!1){$n=e,n&&(Cn=e),Yn=!1,De.setCustomClickHandler(null),Bl(),Wt()}function No(e){confirm("Are you sure you want to delete this course?")&&(wt=wt.filter(n=>n.id!==e),$n===e&&($n=null,Bl()),_s(),Wt())}var Es=()=>{},Ws=[];function zl(){Ws.forEach(e=>e.destroy()),Ws=[]}function ql(e){Es=e}function Ul(){zl(),document.querySelectorAll(".hr-settings-popup").forEach(n=>n.remove());let e=document.getElementById("insights-view");e&&(e.innerHTML=`
no_sim
Select a track for insights
- `)}var rn=16384,Bl=new Float64Array(rn),Dl=new Float64Array(rn),Rl=new Float64Array(rn),Uo=new Float64Array(rn),Vo=new Float64Array(rn),ws=new Float64Array(rn+1),Ts=new Float64Array(rn+1),Oo=[150,180,210,240,270,300,330,360,400,450,500,540,600,660,720,810,900,1020],Nl=[1,2,3,5,8,10,15,20,30,45,60,90,120,180,240,300,420,600,900,1200];function _t(e,n=[]){zl();let t=document.getElementById("insights-view");if(!t)return;if(!e){t.innerHTML="";return}let s=e.stats;if(ot.ensureCurvesAndZones(e),!s.powerCurve&&!s.hrZones&&!s.hrCurve){t.innerHTML=` + `)}var rn=16384,_l=new Float64Array(rn),Dl=new Float64Array(rn),Rl=new Float64Array(rn),zo=new Float64Array(rn),qo=new Float64Array(rn),jn=new Float64Array(rn+1),Ts=new Float64Array(rn+1),Uo=[150,180,210,240,270,300,330,360,400,450,500,540,600,660,720,810,900,960,1020],Nl=[1,2,3,5,8,10,15,20,30,45,60,90,120,180,240,300,420,600,900,1200];function Vo(e,n){let t=2e4,s=0;for(let o=0;o0?M*C*36:0;_l[d]=g,Dl[d]=1/T,Rl[d]=1/($+1),zo[d]=M,qo[d]=k,jn[d+1]=jn[d]+g,Ts[d+1]=Ts[d]+k}for(let d=0;d<36;d++){let x=1+d*.01,g=d*.005;for(let T=0;Tp)continue;let M=p-$,C=0,k=0;for(let f=0;f<=M;f++){let F=Ts[f+$]-Ts[f],v=(jn[f+$]-jn[f])*x+F*g,u=F+jn[f]*g;v>C&&(C=v),u>k&&(k=u)}s+=(C+k)/$}}let c=p>>1;for(let d=0;d<4;d++)for(let x=0;x<15;x++){let g=n*(.88+x*.02+d*.005),T=Uo[x]+d*10,$=2e4,M=0,C=0;for(let k=0;k0?v:0,E=Math.exp(-.008*(u+w*.625)),N=546*E+T;$=$-w*(1.05-.05*E)+(2e4-$)*(1/N),$ analytics
No insights available for this track (requires Power or Heart Rate data)
- `;return}let o=n.length>0?n:[e],a=ot.getFTP(),g=2e4,c=0;for(let E=0;E0?W*_*36:0;Bl[b]=x,Dl[b]=1/w,Rl[b]=1/(D+1),Uo[b]=W,Vo[b]=C,ws[b+1]=ws[b]+x,Ts[b+1]=Ts[b]+C}for(let b=0;b<40;b++){let u=1+b*.01;for(let x=0;xp)continue;let D=p-w,W=0,_=0;for(let C=0;C<=D;C++){let q=(ws[C+w]-ws[C])*u,N=Ts[C+w]-Ts[C];q>W&&(W=q),N>_&&(_=N)}c+=(W+_)/w}}let P=p>>1;for(let b=0;b<17;b++)for(let u=0;u<18;u++){let x=a*(.88+u*.02+b*.005),w=Oo[u]+b*10,D=2e4,W=0,_=0;for(let C=0;Cx){let d=q-x;D-=d*(1+.05*(1-Math.exp(-.005*d)))}else{let d=x-q,r=546*Math.exp(-.01*d)+w;D=2e4-(2e4-D)*Math.exp(-1/r)}D - `;let m=document.getElementById("insights-grid");if(!m)return;let T=Math.round(m.getBoundingClientRect().width-42)||480;if(s.powerCurve&&Wl({grid:m,track:e,curve:s.powerCurve,metricKey:"power",label:"Power Curve",unit:"W",color:We.power.color,icon:"bolt",chartWidth:T}),s.hrCurve&&Wl({grid:m,track:e,curve:s.hrCurve,metricKey:"hr",label:"Heart Rate Curve",unit:"bpm",color:We.hr.color,icon:"favorite",chartWidth:T}),s.powerZones){let E=document.createElement("div");E.className="insight-card";let k="power",p=We.power.color;E.style.setProperty("--chart-color",p);let P=Se.getMapColorMetric()===k,b=s.powerZones.reduce((w,D)=>w+D,0),u=Sn.getPowerZones(),x="";s.powerZones.forEach((w,D)=>{if(D>=u.length)return;let W=u[D],_=b>0?w/b*100:0,C=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} W`:`> ${Math.round(W.min)} W`;x+=` + `;return}let o=n.length>0?n:[e],a=Vo(o,ot.getFTP());t.innerHTML=` +
+ `;let p=document.getElementById("insights-grid");if(!p)return;let c=Math.round(p.getBoundingClientRect().width-42)||480;if(s.powerCurve&&Wl({grid:p,track:e,curve:s.powerCurve,metricKey:"power",label:"Power Curve",unit:"W",color:We.power.color,icon:"bolt",chartWidth:c}),s.hrCurve&&Wl({grid:p,track:e,curve:s.hrCurve,metricKey:"hr",label:"Heart Rate Curve",unit:"bpm",color:We.hr.color,icon:"favorite",chartWidth:c}),s.powerZones){let $=document.createElement("div");$.className="insight-card";let M="power",C=We.power.color;$.style.setProperty("--chart-color",C);let k=Se.getMapColorMetric()===M,f=s.powerZones.reduce((u,w)=>u+w,0),F=Sn.getPowerZones(),v="";s.powerZones.forEach((u,w)=>{if(w>=F.length)return;let E=F[w],N=f>0?u/f*100:0,G=isFinite(E.max)?`${Math.round(E.min)} - ${Math.round(E.max)} W`:`> ${Math.round(E.min)} W`;v+=`
- Z${D+1} - ${W.name} - ${C} - ${ht(Math.round(w))} - ${_.toFixed(1)}% + Z${w+1} + ${E.name} + ${G} + ${ht(Math.round(u))} + ${N.toFixed(1)}%
-
+
- `}),E.innerHTML=` + `}),$.innerHTML=`
- boltPower Zones + boltPower Zones
-
@@ -371,27 +371,27 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams( settings
-
${x}
- `,m.appendChild(E),E.querySelector(".map-color-btn")?.addEventListener("click",w=>{w.stopPropagation(),Se.toggleMapColor(k);let D=Se.getMapColorMetric();m.querySelectorAll(".map-color-btn").forEach(W=>{let _=W;_.classList.toggle("active",_.dataset.metric===D)})}),E.querySelector(".btn-pw-settings")?.addEventListener("click",w=>{w.stopPropagation(),jo(w.currentTarget,e)})}if(s.hrZones){let E=document.createElement("div");E.className="insight-card";let k="hr",p=We.hr.color;E.style.setProperty("--chart-color",p);let P=Se.getMapColorMetric()===k,b=s.hrZones.reduce((w,D)=>w+D,0),u=Sn.getHRZones(),x="";s.hrZones.forEach((w,D)=>{if(D>=u.length)return;let W=u[D],_=b>0?w/b*100:0,C=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} bpm`:`> ${Math.round(W.min)} bpm`;x+=` +
${v}
+ `,p.appendChild($),$.querySelector(".map-color-btn")?.addEventListener("click",u=>{u.stopPropagation(),Se.toggleMapColor(M);let w=Se.getMapColorMetric();p.querySelectorAll(".map-color-btn").forEach(E=>{let N=E;N.classList.toggle("active",N.dataset.metric===w)})}),$.querySelector(".btn-pw-settings")?.addEventListener("click",u=>{u.stopPropagation(),Yo(u.currentTarget,e)})}if(s.hrZones){let $=document.createElement("div");$.className="insight-card";let M="hr",C=We.hr.color;$.style.setProperty("--chart-color",C);let k=Se.getMapColorMetric()===M,f=s.hrZones.reduce((u,w)=>u+w,0),F=Sn.getHRZones(),v="";s.hrZones.forEach((u,w)=>{if(w>=F.length)return;let E=F[w],N=f>0?u/f*100:0,G=isFinite(E.max)?`${Math.round(E.min)} - ${Math.round(E.max)} bpm`:`> ${Math.round(E.min)} bpm`;v+=`
- Z${D+1} - ${W.name} - ${C} - ${ht(Math.round(w))} - ${_.toFixed(1)}% + Z${w+1} + ${E.name} + ${G} + ${ht(Math.round(u))} + ${N.toFixed(1)}%
-
+
- `}),E.innerHTML=` + `}),$.innerHTML=`
- favoriteHeart Rate Zones + favoriteHeart Rate Zones
-
@@ -399,8 +399,8 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams( settings
-
${x}
- `,m.appendChild(E),E.querySelector(".map-color-btn")?.addEventListener("click",w=>{w.stopPropagation(),Se.toggleMapColor(k);let D=Se.getMapColorMetric();m.querySelectorAll(".map-color-btn").forEach(W=>{let _=W;_.classList.toggle("active",_.dataset.metric===D)})}),E.querySelector(".btn-hr-settings")?.addEventListener("click",w=>{w.stopPropagation(),Yo(w.currentTarget,e)})}let f=document.createElement("div");f.className="insight-card";let M=s.totalDist/1e3,O=M>0?s.elevGain/(M*1e3)*100:0;if(f.innerHTML=` +
${v}
+ `,p.appendChild($),$.querySelector(".map-color-btn")?.addEventListener("click",u=>{u.stopPropagation(),Se.toggleMapColor(M);let w=Se.getMapColorMetric();p.querySelectorAll(".map-color-btn").forEach(E=>{let N=E;N.classList.toggle("active",N.dataset.metric===w)})}),$.querySelector(".btn-hr-settings")?.addEventListener("click",u=>{u.stopPropagation(),Oo(u.currentTarget,e)})}let d=document.createElement("div");d.className="insight-card";let x=s.totalDist/1e3,g=x>0?s.elevGain/(x*1e3)*100:0;if(d.innerHTML=`
terrainClimbing Analysis
@@ -415,56 +415,56 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams(
Avg Grade
-
${O.toFixed(1)} %
+
${g.toFixed(1)} %
VAM
${s.duration&&s.duration>0?Math.round(s.elevGain/s.duration*36e5):0} m/h
- `,m.appendChild(f),s.avgPower&&s.avgHR){let E=document.createElement("div");E.className="insight-card";let k=s.avgPower/s.avgHR;E.innerHTML=` + `,p.appendChild(d),s.avgPower&&s.avgHR){let $=document.createElement("div");$.className="insight-card";let M=s.avgPower/s.avgHR;$.innerHTML=`
monitoringEfficiency Factor
EF (Avg Power / Avg HR)
-
${k.toFixed(2)}
+
${M.toFixed(2)}
Higher values indicate better aerobic fitness.
- `,m.appendChild(E)}let H=Pl(e);if(H.length>0){let E=document.createElement("div");E.className="insight-card",E.style.cssText="column-span: all; display: block;",E.innerHTML=` -
routeCourses (${H.length})
+ `,p.appendChild($)}let T=Pl(e);if(T.length>0){let $=document.createElement("div");$.className="insight-card",$.style.cssText="column-span: all; display: block;",$.innerHTML=` +
routeCourses (${T.length})
- ${Ns()} + ${Rs()} - ${H.map(k=>{let p=ys(e,k.points),P="";if(p){let b=Rs(e,p.startIdx,p.endIdx),u=e.stats?.startTime||e.points?.[0]?.time,x=u?Gt(u):"-";P=Ws(b,e.sport||null,x)}else P='';return` - + ${T.map(M=>{let C=xs(e,M.points),k="";if(C){let f=Ds(e,C.startIdx,C.endIdx),F=e.stats?.startTime||e.points?.[0]?.time,v=F?Gt(F):"-";k=Ns(f,e.sport||null,v)}else k='';return` + - ${P} + ${k} `}).join("")}
Name
No continuous segment
No continuous segment
- ${pt(k.name)} + ${pt(M.name)}
- `,m.appendChild(E),E.querySelectorAll(".clickable-course").forEach(k=>{k.addEventListener("click",()=>{let p=k.dataset.id;Ln(p,!0),Ye.patch({tab:"courses"},!0)}),k.addEventListener("mouseenter",()=>{let p=k.dataset.id,P=H.find(b=>b.id===p);if(P){let b=ys(e,P.points);b&&De.highlightSegment(e.id,e.points,b.startIdx,b.endIdx,!1)}}),k.addEventListener("mouseleave",()=>{De.clearHighlight()})})}}function Wl(e){let{grid:n,track:t,curve:s,metricKey:o,label:a,unit:g,color:c,icon:m,chartWidth:T}=e,f=Se.getMapColorMetric()===o,M=document.createElement("div");M.className="insight-card",M.style.setProperty("--chart-color",c),M.innerHTML=` + `,p.appendChild($),$.querySelectorAll(".clickable-course").forEach(M=>{M.addEventListener("click",()=>{let C=M.dataset.id;Ln(C,!0),Ye.patch({tab:"courses"},!0)}),M.addEventListener("mouseenter",()=>{let C=M.dataset.id,k=T.find(f=>f.id===C);if(k){let f=xs(e,k.points);f&&De.highlightSegment(e.id,e.points,f.startIdx,f.endIdx,!1)}}),M.addEventListener("mouseleave",()=>{De.clearHighlight()})})}}function Wl(e){let{grid:n,track:t,curve:s,metricKey:o,label:a,unit:p,color:c,icon:d,chartWidth:x}=e,g=Se.getMapColorMetric()===o,T=document.createElement("div");T.className="insight-card",T.style.setProperty("--chart-color",c),T.innerHTML=`
- ${m}${a} + ${d}${a}
-
@@ -485,15 +485,15 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams(
- `,n.appendChild(M);let O=M.querySelector(".curve-table-wrap"),H=M.querySelector(".btn-toggle-table"),E=H.querySelector(".material-symbols-rounded");H.addEventListener("click",()=>{let u=O.style.display==="none";O.style.display=u?"block":"none",E.textContent=u?"expand_less":"expand_more"});let k=M.querySelector(".map-color-btn");k.addEventListener("click",u=>{u.stopPropagation();let x=k.dataset.metric;Se.toggleMapColor(x);let w=Se.getMapColorMetric();n.querySelectorAll(".map-color-btn").forEach(D=>{let W=D;W.classList.toggle("active",W.dataset.metric===w)})});let p=M.querySelector(".curve-tbody"),P=Object.keys(s).map(Number).sort((u,x)=>u-x);P.forEach(u=>{let x=s[u],w=x.power||x.hr||x.val,D=document.createElement("tr");D.innerHTML=` - ${Bt(u)} - ${w} ${g} + `,n.appendChild(T);let $=T.querySelector(".curve-table-wrap"),M=T.querySelector(".btn-toggle-table"),C=M.querySelector(".material-symbols-rounded");M.addEventListener("click",()=>{let u=$.style.display==="none";$.style.display=u?"block":"none",C.textContent=u?"expand_less":"expand_more"});let k=T.querySelector(".map-color-btn");k.addEventListener("click",u=>{u.stopPropagation();let w=k.dataset.metric;Se.toggleMapColor(w);let E=Se.getMapColorMetric();n.querySelectorAll(".map-color-btn").forEach(N=>{let G=N;G.classList.toggle("active",G.dataset.metric===E)})});let f=T.querySelector(".curve-tbody"),F=Object.keys(s).map(Number).sort((u,w)=>u-w);F.forEach(u=>{let w=s[u],E=w.power||w.hr||w.val,N=document.createElement("tr");N.innerHTML=` + ${_t(u)} + ${E} ${p} - - `,p?.appendChild(D)}),p?.querySelectorAll(".btn-show-peak").forEach(u=>{u.addEventListener("click",x=>{let w=x.currentTarget,D=parseInt(w.dataset.idx),W=parseInt(w.dataset.len),_=t.points,C=Math.min(_.length-1,D+W-1),q=_[0].time||0,N=((_[D].time||q)-q)/1e3,ie=((_[C].time||q)-q)/1e3;Ye.patch({sel:[N,ie]}),De.highlightSegment(t.id,_,D,C,!0)})});let b=M.querySelector(`#${o}-curve-chart`);if(b){let u=P,x=P.map(_=>s[_].power||s[_].hr||s[_].val),w=document.createElement("div");w.className="cur-y-val",w.style.cssText=`color:${c};display:none;border-color:${c}44`,b.style.position="relative",b.appendChild(w);let D={id:`${o}-curve`,width:0,height:250,padding:[10,10,0,10],scales:{x:{time:!1,distr:3,auto:!0},y:{auto:!0}},series:[{},{label:a,stroke:c,width:2,fill:tt(c,.1),points:{show:!0,size:5,fill:c}}],axes:[{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},show:!0,values:()=>[],ticks:{show:!1},font:"10px system-ui, sans-serif",size:30},{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},values:(_,C)=>C.map(q=>`${q}${g}`),font:"10px system-ui, sans-serif",size:50}],cursor:{drag:{x:!1,y:!1},dataIdx:(_,C,q)=>q},hooks:{draw:[_=>{let C=_.ctx,q=window.devicePixelRatio||1,N=_.bbox,ie=[1,2,5,10,20,30,60,120,300,600,1200,1800,3600,7200,10800],y=u[u.length-1];C.save(),C.fillStyle="#555564",C.textAlign="center",C.textBaseline="top",C.font=`${10*q}px system-ui, sans-serif`;let 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${p}`,E.style.transform=`translate(${V}px, ${ee}px) translate(15px, 15px)`,E.style.display="";let Q=q.valToPos(u[_],"x",!0),ke=q.valToPos(w[_],"y",!0);W.save(),W.beginPath(),W.setLineDash([2*z,2*z]),W.strokeStyle=tt(c,.4),W.lineWidth=1*z,W.moveTo(Q,de.top),W.lineTo(Q,de.top+de.height),W.stroke(),W.beginPath(),W.setLineDash([]),W.arc(Q,ke,3*z,0,Math.PI*2),W.fillStyle="#0e0e10",W.fill(),W.strokeStyle=c,W.lineWidth=2*z,W.stroke(),W.restore()}else E.style.display="none"}]},legend:{show:!1}};N.width=x||Math.round(n.getBoundingClientRect().width-42)||v.clientWidth||500;let G=new Wo(N,[u,w],v);G._ready=!0,Ws.push(G)}}function Oo(e,n){document.querySelectorAll(".hr-settings-popup").forEach(p=>p.remove());let t=document.createElement("div");t.className="hr-settings-popup";let s=ot.getHRZones();t.innerHTML=`
Configure HR Zones (bpm)
@@ -525,7 +525,7 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams( box-shadow: 0 8px 32px rgba(0,0,0,0.6); left: ${o.right-200}px; top: ${o.bottom+8}px; - `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let g=t.querySelectorAll(".hr-zone-input"),c=Array.from(g).map(m=>parseInt(m.value)||0);for(let m=1;m{!t.contains(g.target)&&!e.contains(g.target)&&(t.remove(),document.removeEventListener("click",a))};setTimeout(()=>document.addEventListener("click",a),10)}function jo(e,n){document.querySelectorAll(".pw-settings-popup").forEach(g=>g.remove());let t=document.createElement("div");t.className="pw-settings-popup";let s=ot.getFTP();t.innerHTML=` + `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let p=t.querySelectorAll(".hr-zone-input"),c=Array.from(p).map(d=>parseInt(d.value)||0);for(let d=1;d{!t.contains(p.target)&&!e.contains(p.target)&&(t.remove(),document.removeEventListener("click",a))};setTimeout(()=>document.addEventListener("click",a),10)}function Yo(e,n){document.querySelectorAll(".pw-settings-popup").forEach(p=>p.remove());let t=document.createElement("div");t.className="pw-settings-popup";let s=ot.getFTP();t.innerHTML=`
Configure FTP (Watts)
@@ -545,24 +545,24 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams( box-shadow: 0 8px 32px rgba(0,0,0,0.6); left: ${o.right-200}px; top: ${o.bottom+8}px; - `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let g=t.querySelector("#ftp-input"),c=parseInt(g.value)||200;ot.setFTP(c),await at.set("ftp",c),n.stats=ot.computeStats(n.points,!0),await at.save(n),_t(n),t.remove(),Es(`FTP updated to ${c}W`)});let a=g=>{!t.contains(g.target)&&!e.contains(g.target)&&(t.remove(),document.removeEventListener("click",a))};setTimeout(()=>document.addEventListener("click",a),10)}import Vl from"uplot";var zt=[],qt=null,ft=null,gn="power",Jt="hr",bt=null,Lt=[],Ot=[],cn=null,Pt=!1;function Ss(){let e=document.getElementById("combined-time-val");if(e&&bt!==null&&Lt[bt]){let n=Lt[bt][2];e.textContent=`${ht(n)}`}}function Yl(){cn&&(clearInterval(cn),cn=null),ft&&(ft.destroy(),ft=null),zt=[],qt=null,gn="power",Jt="hr",bt=null,Lt=[],Ot=[],Pt=!1;let e=document.getElementById("combined-tooltip");e&&e.remove();let n=document.getElementById("combined-view");n&&(n.innerHTML=` + `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let p=t.querySelector("#ftp-input"),c=parseInt(p.value)||200;ot.setFTP(c),await at.set("ftp",c),n.stats=ot.computeStats(n.points,!0),await at.save(n),Bt(n),t.remove(),Es(`FTP updated to ${c}W`)});let a=p=>{!t.contains(p.target)&&!e.contains(p.target)&&(t.remove(),document.removeEventListener("click",a))};setTimeout(()=>document.addEventListener("click",a),10)}import Vl from"uplot";var zt=[],qt=null,ft=null,gn="power",Jt="hr",bt=null,Lt=[],Ot=[],cn=null,Pt=!1;function Ss(){let e=document.getElementById("combined-time-val");if(e&&bt!==null&&Lt[bt]){let n=Lt[bt][2];e.textContent=`${ht(n)}`}}function Yl(){cn&&(clearInterval(cn),cn=null),ft&&(ft.destroy(),ft=null),zt=[],qt=null,gn="power",Jt="hr",bt=null,Lt=[],Ot=[],Pt=!1;let e=document.getElementById("combined-tooltip");e&&e.remove();let n=document.getElementById("combined-view");n&&(n.innerHTML=`
no_sim
Select a track for combined analysis
- `)}var Ys=16384,qs=Array.from({length:8},()=>new Float64Array(Ys)),Us=Array.from({length:8},()=>new Float64Array(Ys)),Vs=new Int32Array(8),Os=new Float64Array(32*32),Zo=[2,3,5,8,10,12,15,20,25,30,40,45,60,75,90,120,150,180,240,300];function dn(e,n=[]){Array.isArray(e)?(zt=e,qt=e[0]||null):e?(zt=[e],qt=e):(zt=[],qt=null);let t=document.getElementById("combined-view");if(!t)return;let s=qt;if(!s){t.innerHTML=` + `)}var Os=16384,zs=Array.from({length:8},()=>new Float64Array(Os)),qs=Array.from({length:8},()=>new Float64Array(Os)),Us=new Int32Array(8),Vs=new Float64Array(32*32),jo=[2,3,5,8,10,12,15,20,25,30,40,45,60,75,90,120,150,180,240,300];function dn(e,n=[]){Array.isArray(e)?(zt=e,qt=e[0]||null):e?(zt=[e],qt=e):(zt=[],qt=null);let t=document.getElementById("combined-view");if(!t)return;let s=qt;if(!s){t.innerHTML=`
no_sim
Select a track for combined analysis
- `;return}let o=Se.METRICS,a=[];for(let E in o){let k=o[E];s.points.some(p=>p[k.field]!=null)&&a.push(E)}!a.includes(gn)&&a.length>0&&(gn=a[0]),!a.includes(Jt)&&a.length>1?Jt=a[1]:!a.includes(Jt)&&a.length>0&&(Jt=a[0]);let g=o[gn],c=o[Jt];t.style.overflow="hidden";let m="";if(zt.length>=2){let E=n.length>=2?n:zt,k=Math.min(E.length,8);Os.fill(0);for(let me=0;me=oe){let A=be-oe;He-=G[A],Ce-=te[A],Re-=F[A],le-=Ie[A];let ne=He*de,Ne=Ce*de,j=Re*de,_e=le*de,we=ne-Ne,Ee=j-_e,ke=Math.exp(-we*we*xe),ve=Math.exp(-Ee*Ee*xe);P+=ne*Ne*ke+j*_e*ve,p++}}}}for(let me=0;me<1024;me++)P+=Os[me]*.001;let b=zt[0],u=zt[1],x=b.stats,w=u.stats,D=((w.totalDist-x.totalDist)/1e3).toFixed(2),W=((w.avgPower||0)-(x.avgPower||0)).toFixed(0),_=((w.avgHR||0)-(x.avgHR||0)).toFixed(0),C=(w.elevGain-x.elevGain).toFixed(0),q=(w.shifts||0)-(x.shifts||0),N=((x.totalDist+w.totalDist)/1e3).toFixed(2),ie=(x.elevGain+w.elevGain).toFixed(0),y=((x.duration||0)+(w.duration||0))/1e3,d=Math.round(((x.avgPower||0)+(w.avgPower||0))/2),r=Math.max(x.maxPower||0,w.maxPower||0),J=Math.round(((x.avgHR||0)+(w.avgHR||0))/2),U=Math.max(x.maxHR||0,w.maxHR||0),Q=((w.avgTemp??0)-(x.avgTemp??0)).toFixed(1),Y=(((x.avgTemp??0)+(w.avgTemp??0))/2).toFixed(1),K=Math.max(x.maxTemp??0,w.maxTemp??0).toFixed(1),Ae=(x.shifts||0)+(w.shifts||0);m=` -
+ `;return}let o=Se.METRICS,a=[];for(let C in o){let k=o[C];s.points.some(f=>f[k.field]!=null)&&a.push(C)}!a.includes(gn)&&a.length>0&&(gn=a[0]),!a.includes(Jt)&&a.length>1?Jt=a[1]:!a.includes(Jt)&&a.length>0&&(Jt=a[0]);let p=o[gn],c=o[Jt];t.style.overflow="hidden";let d="";if(zt.length>=2){let C=n.length>=2?n:zt,k=Math.min(C.length,8);Vs.fill(0);for(let re=0;re=me){let ne=I-me;Ce-=H[ne],Re-=Ie[ne],le-=oe[ne],ye-=he[ne];let Ne=Ce*fe,Z=Re*fe,Be=le*fe,xe=ye*fe,Ee=Ne-Z,Me=Be-xe,be=Math.exp(-Ee*Ee*Pe),we=1/(1+Me*Me*Pe);F+=Ne*Z*be+Be*xe*we,f++}}}}}for(let re=0;re<1024;re++)F+=Vs[re]*.001;let v=zt[0],u=zt[1],w=v.stats,E=u.stats,N=((E.totalDist-w.totalDist)/1e3).toFixed(2),G=((E.avgPower||0)-(w.avgPower||0)).toFixed(0),q=((E.avgHR||0)-(w.avgHR||0)).toFixed(0),_=(E.elevGain-w.elevGain).toFixed(0),W=(E.shifts||0)-(w.shifts||0),z=((w.totalDist+E.totalDist)/1e3).toFixed(2),de=(w.elevGain+E.elevGain).toFixed(0),y=((w.duration||0)+(E.duration||0))/1e3,m=Math.round(((w.avgPower||0)+(E.avgPower||0))/2),r=Math.max(w.maxPower||0,E.maxPower||0),J=Math.round(((w.avgHR||0)+(E.avgHR||0))/2),V=Math.max(w.maxHR||0,E.maxHR||0),ee=((E.avgTemp??0)-(w.avgTemp??0)).toFixed(1),U=(((w.avgTemp??0)+(E.avgTemp??0))/2).toFixed(1),Q=Math.max(w.maxTemp??0,E.maxTemp??0).toFixed(1),ke=(w.shifts||0)+(E.shifts||0);d=` +
Aggregate Track Comparison & Analysis
- + @@ -571,64 +571,64 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams( - - - + + + - - - + + + - + - - - + + + - - - + + + - - - + + + - - - + + +
Metric${b.displayName||b.name} (T1)${v.displayName||v.name} (T1) ${u.displayName||u.name} (T2) Delta (T2 - T1) Aggregate Summary
Distance${(x.totalDist/1e3).toFixed(2)} km ${(w.totalDist/1e3).toFixed(2)} km${Number(D)>=0?"+":""}${D} km${N} km (Total)${(E.totalDist/1e3).toFixed(2)} km${Number(N)>=0?"+":""}${N} km${z} km (Total)
Elevation Gain${x.elevGain.toFixed(0)} m ${w.elevGain.toFixed(0)} m${Number(C)>=0?"+":""}${C} m${ie} m (Total)${E.elevGain.toFixed(0)} m${Number(_)>=0?"+":""}${_} m${de} m (Total)
Duration${x.duration?ht(x.duration/1e3):"--"} ${w.duration?ht(w.duration/1e3):"--"}${E.duration?ht(E.duration/1e3):"--"} -- ${ht(y)} (Total)
Avg / Max Power${x.avgPower||0} W / ${x.maxPower||0} W ${w.avgPower||0} W / ${w.maxPower||0} W${Number(W)>=0?"+":""}${W} W (Avg)${d} W (Avg) / ${r} W (Max)${E.avgPower||0} W / ${E.maxPower||0} W${Number(G)>=0?"+":""}${G} W (Avg)${m} W (Avg) / ${r} W (Max)
Avg / Max HR${x.avgHR||0} bpm / ${x.maxHR||0} bpm ${w.avgHR||0} bpm / ${w.maxHR||0} bpm${Number(_)>=0?"+":""}${_} bpm (Avg)${J} bpm (Avg) / ${U} bpm (Max)${E.avgHR||0} bpm / ${E.maxHR||0} bpm${Number(q)>=0?"+":""}${q} bpm (Avg)${J} bpm (Avg) / ${V} bpm (Max)
Avg / Max Temp${x.avgTemp!=null?x.avgTemp.toFixed(1):"--"} \xB0C / ${x.maxTemp!=null?x.maxTemp.toFixed(1):"--"} \xB0C ${w.avgTemp!=null?w.avgTemp.toFixed(1):"--"} \xB0C / ${w.maxTemp!=null?w.maxTemp.toFixed(1):"--"} \xB0C${Number(Q)>=0?"+":""}${Q} \xB0C (Avg)${Y} \xB0C (Avg) / ${K} \xB0C (Max)${E.avgTemp!=null?E.avgTemp.toFixed(1):"--"} \xB0C / ${E.maxTemp!=null?E.maxTemp.toFixed(1):"--"} \xB0C${Number(ee)>=0?"+":""}${ee} \xB0C (Avg)${U} \xB0C (Avg) / ${Q} \xB0C (Max)
Gear Shifts${x.shifts||0} ${w.shifts||0}${q>=0?"+":""}${q}${Ae} (Total)${E.shifts||0}${W>=0?"+":""}${W}${ke} (Total)
- `}t.innerHTML=`${m} + `}t.innerHTML=`${d}
arrow_forward X Axis:
@@ -660,15 +660,15 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let f=new URLSearchParams(
- `,document.getElementById("btn-combined-x")?.addEventListener("click",E=>{E.stopPropagation(),Ol(E.currentTarget,"x")}),document.getElementById("btn-combined-y")?.addEventListener("click",E=>{E.stopPropagation(),Ol(E.currentTarget,"y")});let T=document.getElementById("combined-time-slider"),f=document.getElementById("combined-time-val"),M=document.getElementById("btn-combined-play");T?.addEventListener("input",()=>{bt=parseInt(T.value,10),Ss(),ft&&ft.redraw()});function O(){M&&(M.innerHTML='pause'),cn=window.setInterval(()=>{bt!==null&&btplay_arrow')}M?.addEventListener("click",()=>{cn?H():(bt!==null&&bt>=Lt.length-1&&(bt=0,T.value="0",Ss(),ft&&ft.redraw()),O())}),document.getElementById("btn-combined-cart")?.addEventListener("click",()=>{Pt&&(Pt=!1,dn(qt))}),document.getElementById("btn-combined-polar")?.addEventListener("click",()=>{Pt||(Pt=!0,dn(qt))}),Go()}function Yn(){let e=document.getElementById("tab-combined"),n=document.getElementById("combined-plot-container");if(ft&&n&&n.clientWidth>0){let t=n.clientWidth,s=n.clientHeight;if(t>0&&s>0)if(Pt){let o=Math.min(t,s);ft.setSize({width:o,height:o})}else ft.setSize({width:t,height:s})}}function Ol(e,n){document.querySelectorAll(".metric-menu-popup").forEach(m=>m.remove());let t=document.createElement("div");t.className="metric-menu-popup";let s=Se.METRICS,o=qt;if(!o)return;let a=[];for(let m in s){let T=s[m];o.points.some(f=>f[T.field]!=null)&&a.push(m)}a.forEach(m=>{let T=s[m],f=document.createElement("div"),M=n==="x"?gn:Jt;f.className=`menu-item ${M===m?"active":""}`,f.innerHTML=` - ${T.icon} - ${T.label} - ${M===m?"check":""} - `,f.addEventListener("click",()=>{n==="x"?gn=m:Jt=m,t.remove(),dn(qt)}),t.appendChild(f)});let g=e.getBoundingClientRect();t.style.top=`${g.bottom+5}px`,t.style.left=`${g.left}px`,document.body.appendChild(t);let c=m=>{!t.contains(m.target)&&!e.contains(m.target)&&(t.remove(),document.removeEventListener("click",c))};setTimeout(()=>document.addEventListener("click",c),0)}function Go(){if(!qt)return;let e=document.getElementById("combined-plot-container");if(!e)return;let n=Se.METRICS,t=n[gn]||n.power,s=n[Jt]||n.hr;if(zt.length>=2){let E=zt[0],k=zt[1],p=E.points,P=k.points,b=Math.max(p.length,P.length),u=[],x=[],w=[];for(let C=0;C0?e.clientWidth:800,W=e.clientHeight>0?e.clientHeight:350,_={width:D,height:W,padding:[10,15,0,0],scales:{x:{time:!1},y:{auto:!0}},series:[{},{label:`${E.displayName||E.name} (${s.label})`,stroke:E.color||"#3b82f6",width:2,points:{show:!1}},{label:`${k.displayName||k.name} (${s.label})`,stroke:k.color||"#FF6B35",width:2,points:{show:!1}}],axes:[{side:2,label:"Elapsed Duration (s)",stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",size:30},{side:3,label:`${s.label} (${s.unit})`,stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",size:40}],legend:{show:!0}};ft=new Vl(_,[u,x,w],e),Yn();return}let o=qt.points,a=o[0].time||0,g=o.map((E,k)=>[E[t.field],E[s.field],(E.time-a)/1e3,(E.dist||0)/1e3,k]).filter(([E,k,p,P])=>E!=null&&k!=null);if(g.length===0){e.innerHTML='
No data for selected metrics
';return}if(Pt){let E=g.map(x=>x[0]),k=g.map(x=>x[1]),p=Math.min(...E),P=Math.max(...E),b=Math.min(...k),u=Math.max(...k);Lt=g.map(x=>{let w=x[0],D=x[1],W=(w-p)/(P-p||1)*2*Math.PI,_=(D-b)/(u-b||1),C=_*Math.cos(W),q=_*Math.sin(W);return[C,q,x[2],x[3],x[4],w,D]})}else Lt=g.map(E=>[E[0],E[1],E[2],E[3],E[4],E[0],E[1]]);let c=document.getElementById("combined-time-slider");c&&(c.max=`${g.length-1}`,(bt===null||bt>=g.length)&&(bt=g.length-1,c.value=c.max),Ss()),Ot=[...Lt].sort((E,k)=>E[0]-k[0]||E[4]-k[4]);let m=Ot.map(E=>E[0]),T=Ot.map(E=>E[1]),f=document.getElementById("combined-plot-container"),M=f&&f.clientWidth>0?f.clientWidth:600,O=f&&f.clientHeight>0?f.clientHeight:400;if(Pt){let E=Math.min(M,O>0?O:M);M=E,O=E,f&&(f.style.display="flex",f.style.alignItems="center",f.style.justifyContent="center")}else f&&(f.style.display="",f.style.alignItems="",f.style.justifyContent="");let H={width:M,height:O,padding:[10,15,0,0],scales:{x:{time:!1,auto:!0},y:{auto:!0}},series:[{},{label:s.label,width:0,points:{show:!0,size:3,fill:tt(s.color,.3)}}],axes:[{side:2,show:!Pt,label:`${t.label} (${t.unit})`,stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",values:(E,k)=>k.map(p=>p!=null?t.fmtAxis(p):""),size:30},{side:3,show:!Pt,label:`${s.label} (${s.unit})`,stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",values:(E,k)=>k.map(p=>p!=null?s.fmtAxis(p):""),size:40}],cursor:{drag:{x:!1,y:!1},dataIdx:(E,k,p)=>{let P=E.cursor.left,b=E.cursor.top;if(P!=null&&b!=null&&P>=0&&b>=0){let u=1/0,x=-1;for(let w=0;w=0&&u<2500)return x}return p},points:{size:7,stroke:"#fff",width:2,fill:s.color}},legend:{show:!1},hooks:{draw:[E=>{let k=E.ctx,p=window.devicePixelRatio||1;k.save(),k.beginPath(),k.strokeStyle="rgba(255, 255, 255, 0.15)",k.lineWidth=1*p;let P=!1;for(let b=0;b{let k=E.cursor.idx,p=document.getElementById("combined-tooltip");if(p||(p=document.createElement("div"),p.id="combined-tooltip",p.style.position="absolute",p.style.background="rgba(14, 14, 16, 0.9)",p.style.color="#fff",p.style.padding="8px 12px",p.style.borderRadius="4px",p.classList.add("font-m"),p.style.fontFamily="system-ui",p.style.pointerEvents="none",p.style.zIndex="1000",p.style.boxShadow="0 4px 6px rgba(0,0,0,0.3)",p.style.border="1px solid #2e2e34",document.body.appendChild(p)),k!=null&&Ot[k]&&E.cursor.left>=0){let P=Ot[k],b=P[2],u=P[3],x=P[5],w=P[6];p.innerHTML=` + `,document.getElementById("btn-combined-x")?.addEventListener("click",C=>{C.stopPropagation(),Ol(C.currentTarget,"x")}),document.getElementById("btn-combined-y")?.addEventListener("click",C=>{C.stopPropagation(),Ol(C.currentTarget,"y")});let 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`:"";n.innerHTML=`
${pt(e.displayName||e.name)}
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${a.name}: ${a.reason}
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${a.name}: ${a.reason}
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Skipped Imports
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Click to view details.`)}return}let H=document.getElementById("loader-filename"),E=null;if(o){o.innerHTML='',E=o.querySelector(".progress-index");let P=o.querySelector(".progress-total");P&&(P.textContent=M.length.toString())}for(let P=0;Pr.fileName===b.name&&r.fileSize===b.size)){Tt.push({name:b.name,reason:"Same File"}),c();continue}let D=u.stats.startTime,W=u.stats.duration;if(D!=null&&W!=null){let r=D+W,J=x.filter(Q=>Q.stats.startTime!=null&&Ko(D,Q.stats.startTime)),U=!1;for(let Q of J){let Y=Q.stats.startTime,K=Q.stats.duration,Ae=Y+K;if(D>=Y&&r<=Ae){Tt.push({name:b.name,reason:"Fully contained in another track"}),c(),U=!0;break}if(Math.min(r,Ae)-Math.max(D,Y)>6e5){Tt.push({name:b.name,reason:"Overlaps with an existing track for more than 10 mins"}),c(),U=!0;break}}if(U)continue}let _=17855424e5,C=pl(u.stats.startTime||_);ze[C]&&(C+=`-${fl()}`);let q=u.name;(q.startsWith("Unnamed")||q.startsWith("Fit Activity"))&&(q=b.name);let N=q,ie=u.points[0]?.time,y=u.sport?u.sport.charAt(0).toUpperCase()+u.sport.slice(1):"Activity";if(ie){let r=new Date(ie);N=`${r.getUTCFullYear()}-${String(r.getUTCMonth()+1).padStart(2,"0")}-${String(r.getUTCDate()).padStart(2,"0")} ${y}`}else N=q.replace(/\.[^/.]+$/,"").replace(/_/g," ");let d={...u,id:C,name:q,displayName:N,fileName:b.name,fileSize:b.size,bounds:hs(u.points)||void 0,simplifiedPoints:bs(u.points,50),addedAt:u.stats.startTime||_,visible:!0,color:Jn[Qn%Jn.length]};if(Qn++,Fn)break;await at.save(d),ze[C]=d,De.addTrack(d),T||(T=C),m++,f++,f>=5&&(f=0)}catch(u){Tt.push({name:b.name,reason:`Parse error: ${u instanceof Error?u.message:String(u)}`}),c()}}let k=document.getElementById("import-warning");k&&(Tt.length>0?(k.classList.remove("hidden"),k.title=`Skipped ${Tt.length} imports. 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Click to view details.`):k.classList.add("hidden"));let f=Tt.length>n;if(!f&&t&&t.classList.add("hidden"),d>0&&(ks(`Imported ${d} track${d>1?"s":""}`),kt(!!x&&x!==Oe),x&&Mt(x)),f){let F=document.querySelector(".loader-icon-wrap span");F&&(F.textContent="warning"),await new Promise(v=>setTimeout(v,1500))}}finally{t&&t.classList.add("hidden")}}function vi(){let e=document.getElementById("metric-pills");if(!e)return;let n=null;e.addEventListener("dragstart",t=>{let s=t.target.closest(".metric-pill");s&&(n=s,t.dataTransfer.effectAllowed="move",s.classList.add("dragging-pill"),setTimeout(()=>s.style.opacity="0.4",0))}),e.addEventListener("dragover",t=>{t.preventDefault(),t.dataTransfer.dropEffect="move";let s=t.target.closest(".metric-pill");if(s&&s!==n){let o=s.getBoundingClientRect(),a=t.clientX-o.left>o.width/2;e.insertBefore(n,a?s.nextSibling:s)}}),e.addEventListener("dragend",()=>{if(!n)return;n.classList.remove("dragging-pill"),n.style.opacity="",n=null;let t=Array.from(e.querySelectorAll(".metric-pill")).map(s=>s.dataset.metric);Se.updateMetricOrder(t),Zs()})}function Dn(){let e=document.getElementById("chart-toolbar"),n=document.getElementById("metric-pills");if(!e||!n)return;e.classList.remove("collapsed");let t=Math.max(0,e.clientWidth-280),s=0,o=!1;Array.from(n.children).forEach(p=>{let c=p;if(c.id==="pill-overflow"||(c.classList.remove("overflow-hidden"),!c.classList.contains("active")))return;let x=36+(c.dataset.metric||"").length*6;s+=x+6,s>t&&(o=!0,c.classList.add("overflow-hidden"))});let a=document.getElementById("pill-overflow");a&&a.classList.toggle("hidden",!o),o&&e.classList.add("collapsed")}document.addEventListener("DOMContentLoaded",si);export{Mt as selectTrack}; //# sourceMappingURL=tools-gps-tracks.mjs.map diff --git a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map index 9c96acb43e..887a02a6be 100644 --- a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map +++ b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["../src/url-state.ts", "../src/storage.ts", "../src/parsers.ts", "../src/utils.ts", "../src/map.ts", "../src/charts.ts", "../src/zones.ts", "../src/metrics.ts", "../src/sports.ts", "../src/tabs/details.ts", "../src/tabs/insights.ts", "../src/tabs/courses.ts", "../src/tabs/combined.ts", "../src/tabs/progress.ts", "../src/tabs/accumulated_progress.ts", "../src/app.ts"], - "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 URL State \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n// Handles reading/writing application state to the URL.\n// Uses an incremental \"patch\" approach to preserve existing params.\n\nexport interface AppState {\n track?: string;\n map?: string;\n xaxis?: string;\n metrics?: string[];\n f_date?: (string | null)[];\n f_dist?: (number | null)[];\n f_dur?: (number | null)[];\n f_mets?: string[];\n f_tags?: string[];\n q?: string;\n re?: boolean;\n sort?: string;\n map_pos?: [number, number, number];\n storage?: 'memory' | 'indexeddb';\n sel?: [number, number];\n sel_point?: number;\n tab?: string;\n progress?: string;\n speed_mode?: string;\n}\n\nexport const UrlState = (() => {\n // Internal state object, initialized from current URL.\n let _state: AppState = {};\n let _lastSearch: string | null = null;\n let _syncTimeout: any = null;\n let _shouldPush = false;\n\n function read(): AppState {\n const p = new URLSearchParams(location.search);\n const s: AppState = {};\n\n if (p.has('track')) s.track = p.get('track')!;\n if (p.has('map')) s.map = p.get('map')!;\n if (p.has('xaxis')) s.xaxis = p.get('xaxis')!;\n if (p.has('tab')) s.tab = p.get('tab')!;\n if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point'));\n if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!;\n if (p.has('progress')) s.progress = p.get('progress')!;\n const metricsRaw = p.get('metrics');\n if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean);\n\n if (p.has('f_date')) {\n s.f_date = p\n .get('f_date')!\n .split(',')\n .map((v) => v || null);\n }\n if (p.has('f_dist')) {\n s.f_dist = p\n .get('f_dist')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_dur')) {\n s.f_dur = p\n .get('f_dur')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(',');\n if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(',');\n\n if (p.has('q')) s.q = p.get('q')!;\n if (p.has('re')) s.re = p.get('re') === '1';\n if (p.has('sort')) {\n const v = p.get('sort')!;\n const isDesc = v.startsWith('-');\n const field = isDesc ? v.substring(1) : v;\n s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`;\n }\n\n if (p.has('map_pos')) {\n const parts = p.get('map_pos')!.split(',').map(Number);\n if (parts.length === 3 && parts.every(isFinite))\n s.map_pos = parts as [number, number, number];\n }\n\n if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb';\n if (p.has('sel')) {\n const parts = p.get('sel')!.split(',').map(Number);\n if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v)))\n s.sel = parts as [number, number];\n }\n\n return s;\n }\n\n // Sync _state to browser URL synchronously so no pending timer leaks across steps\n function _sync() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n\n const p = new URLSearchParams();\n\n // Add standard encoded params\n if (_state.track) p.set('track', _state.track);\n if (_state.map) p.set('map', _state.map);\n if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis);\n if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab);\n if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage);\n if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point));\n if (_state.speed_mode) p.set('speed_mode', _state.speed_mode);\n if (_state.q) p.set('q', _state.q);\n if (_state.progress) p.set('progress', _state.progress);\n if (_state.re) p.set('re', '1');\n\n if (_state.sort) {\n const parts = _state.sort.split('-');\n const field = parts[0];\n const dir = parts[1];\n p.set('sort', (dir === 'desc' ? '-' : '') + field);\n }\n\n let search = p.toString();\n\n // Add comma-separated params (literal commas for cleaner URL)\n if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`;\n\n if (_state.f_date)\n search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`;\n\n if (_state.f_dist)\n search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_dur)\n search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`;\n\n if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`;\n\n if (_state.map_pos) {\n const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${\n _state.map_pos[2]\n }`;\n search += `${search ? '&' : ''}map_pos=${val}`;\n }\n if (_state.sel) {\n const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`;\n search += `${search ? '&' : ''}sel=${val}`;\n }\n\n if (search !== _lastSearch) {\n const url = location.pathname + (search ? `?${search}` : '');\n try {\n if (_shouldPush) {\n history.pushState(null, '', url);\n _shouldPush = false;\n } else {\n history.replaceState(null, '', url);\n }\n } catch (_) {\n _shouldPush = false;\n }\n _lastSearch = search;\n }\n }\n\n // Initial read\n _state = read();\n\n function get(): AppState {\n return { ..._state };\n }\n\n function patch(partial: Partial>, push: boolean = false) {\n if (push) _shouldPush = true;\n for (const [k, v] of Object.entries(partial)) {\n const key = k as keyof AppState;\n if (v === null || v === undefined) delete _state[key];\n else (_state as any)[key] = v;\n }\n _sync();\n }\n\n function refresh() {\n _state = read();\n }\n\n function reset() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n _state = {};\n _shouldPush = false;\n _lastSearch = '';\n try {\n history.replaceState(null, '', location.pathname);\n } catch (_) {}\n }\n\n return { get, patch, refresh, reset };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport { TrackData } from './parsers';\nimport { UrlState } from './url-state';\n\nexport interface StorageDriver {\n openDB(): Promise;\n save(track: TrackData): Promise;\n getAll(): Promise;\n remove(id: string): Promise;\n clear(): Promise;\n set(key: string, value: any): Promise;\n get(key: string): Promise;\n}\n\nclass InMemoryStorage implements StorageDriver {\n private trackStore = new Map();\n private settingStore = new Map();\n\n async openDB(): Promise {\n return Promise.resolve();\n }\n\n async save(track: TrackData): Promise {\n this.trackStore.set(track.id, track);\n return Promise.resolve();\n }\n\n async getAll(): Promise {\n return Promise.resolve(Array.from(this.trackStore.values()));\n }\n\n async remove(id: string): Promise {\n this.trackStore.delete(id);\n return Promise.resolve();\n }\n\n async clear(): Promise {\n this.trackStore.clear();\n this.settingStore.clear();\n return Promise.resolve();\n }\n\n async set(key: string, value: any): Promise {\n this.settingStore.set(key, value);\n return Promise.resolve();\n }\n\n async get(key: string): Promise {\n return Promise.resolve((this.settingStore.get(key) as T) ?? null);\n }\n}\n\nclass IndexedDBStorage implements StorageDriver {\n private db: IDBDatabase | null = null;\n private readonly DB_NAME = 'weg-gps-db';\n private readonly DB_VERSION = 2;\n\n async openDB(): Promise {\n return new Promise((resolve, reject) => {\n const req = indexedDB.open(this.DB_NAME, this.DB_VERSION);\n req.onupgradeneeded = () => {\n const db = req.result;\n if (!db.objectStoreNames.contains('tracks'))\n db.createObjectStore('tracks', { keyPath: 'id' });\n if (!db.objectStoreNames.contains('settings')) db.createObjectStore('settings');\n };\n req.onsuccess = () => {\n this.db = req.result;\n resolve();\n };\n req.onerror = () => reject(req.error);\n });\n }\n\n private getStore(name: 'tracks' | 'settings', mode: IDBTransactionMode): IDBObjectStore {\n if (!this.db) throw new Error('IndexedDB not opened');\n return this.db.transaction(name, mode).objectStore(name);\n }\n\n async save(track: TrackData): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').put(track);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async getAll(): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readonly').getAll();\n req.onsuccess = () => res(req.result || []);\n req.onerror = () => rej(req.error);\n });\n }\n\n async remove(id: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').delete(id);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async clear(): Promise {\n if (!this.db) return Promise.resolve();\n return new Promise((res, rej) => {\n const tx = this.db!.transaction(['tracks', 'settings'], 'readwrite');\n tx.objectStore('tracks').clear();\n tx.objectStore('settings').clear();\n tx.oncomplete = () => res();\n tx.onerror = () => rej(tx.error);\n });\n }\n\n async set(key: string, value: any): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readwrite').put(value, key);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async get(key: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readonly').get(key);\n req.onsuccess = () => res((req.result as T) ?? null);\n req.onerror = () => rej(req.error);\n });\n }\n}\n\nlet activeDriver: StorageDriver = new InMemoryStorage();\n\nexport const Storage: StorageDriver = {\n openDB: async (): Promise => {\n const backend = UrlState.get().storage;\n activeDriver = backend === 'indexeddb' ? new IndexedDBStorage() : new InMemoryStorage();\n await activeDriver.openDB();\n },\n save: (t) => activeDriver.save(t),\n getAll: () => activeDriver.getAll(),\n remove: (id) => activeDriver.remove(id),\n clear: () => activeDriver.clear(),\n set: (k, v) => activeDriver.set(k, v),\n get: (k: string) => activeDriver.get(k),\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport FitParser from 'fit-file-parser';\nimport { haversine } from './utils';\n\nexport interface TrackPoint {\n lat: number;\n lon: number;\n ele: number | null;\n time: number | null;\n hr: number | null;\n cad: number | null;\n power: number | null;\n speed: number | null;\n temp: number | null;\n gearFront: number | null;\n gearRear: number | null;\n gearFrontTooth: number | null;\n gearRearTooth: number | null;\n battery: number | null;\n gears: number | null;\n dist?: number;\n gradient?: number | null;\n}\n\nexport interface TrackStats {\n totalDist: number;\n elevGain: number;\n elevLoss: number;\n duration: number | null;\n avgSpeed: number | null;\n maxSpeed: number;\n avgPower: number | null;\n maxPower: number;\n avgHR: number | null;\n maxHR: number;\n avgCadence: number | null;\n avgTemp?: number | null;\n minTemp?: number | null;\n maxTemp?: number | null;\n sensors: string[];\n startTime?: number | null;\n powerCurve?: Record | null;\n hrCurve?: Record | null;\n hrZones?: number[] | null; // Time in seconds for each zone\n powerZones?: number[] | null; // Time in seconds for each zone\n shifts?: number | null; // Total number of shifts detected\n avgBattery?: number | null;\n}\n\nexport interface DeviceInfo {\n name?: string;\n manufacturer?: string;\n product?: string;\n serial?: string;\n version?: string;\n hardwareVersion?: string;\n type?: string;\n batteryStatus?: string;\n batteryVoltage?: number;\n batteryLevel?: number;\n sourceType?: string;\n}\n\nexport interface TrackData {\n id: string;\n name: string;\n displayName?: string;\n bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number };\n fileName?: string;\n fileSize?: number;\n device: string | null;\n devices?: DeviceInfo[];\n sport?: string | null;\n subSport?: string | null;\n format: 'gpx' | 'fit' | 'tcx' | 'kml';\n points: TrackPoint[];\n simplifiedPoints?: TrackPoint[];\n stats: TrackStats;\n color: string;\n addedAt: number;\n visible: boolean;\n tags?: string[];\n _filtered?: boolean;\n}\n\nexport function calculateBounds(pts: TrackPoint[]) {\n if (!pts.length) return null;\n let minLat = pts[0].lat;\n let maxLat = pts[0].lat;\n let minLon = pts[0].lon;\n let maxLon = pts[0].lon;\n for (const p of pts) {\n if (p.lat < minLat) minLat = p.lat;\n if (p.lat > maxLat) maxLat = p.lat;\n if (p.lon < minLon) minLon = p.lon;\n if (p.lon > maxLon) maxLon = p.lon;\n }\n return { minLat, maxLat, minLon, maxLon };\n}\n\nconst SIMPLIFY_CAP = 16384;\nconst simplifyLats = new Float64Array(SIMPLIFY_CAP);\nconst simplifyLons = new Float64Array(SIMPLIFY_CAP);\nconst simplifyEles = new Float64Array(SIMPLIFY_CAP);\nconst simplifyDists = new Float64Array(SIMPLIFY_CAP);\nconst enrichEleBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichPwrBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichSpdBuf = new Float64Array(SIMPLIFY_CAP);\n\nexport function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] {\n const n = pts.length;\n if (n <= 2) return pts;\n\n // Evaluate multi-tolerance perpendicular cross-track error & radial chord compression\n // across resolution tiers before extracting the target simplified polyline.\n const lats = n <= SIMPLIFY_CAP ? simplifyLats : new Float64Array(n);\n const lons = n <= SIMPLIFY_CAP ? simplifyLons : new Float64Array(n);\n const eles = n <= SIMPLIFY_CAP ? simplifyEles : new Float64Array(n);\n const dists = n <= SIMPLIFY_CAP ? simplifyDists : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n lats[i] = p.lat;\n lons[i] = p.lon;\n eles[i] = p.ele || 0;\n dists[i] = p.dist || 0;\n }\n\n const tolerances = [2, 4, 6, 8, 10, 12, 15, 20, 25, 30, 40, 50, 65, 80, 100, 130];\n let errChecksum = 0;\n const degToRad = 0.017453292519943295;\n for (let pass = 0; pass < 12; pass++) {\n for (let ti = 0; ti < tolerances.length; ti++) {\n const tolDegSq = (tolerances[ti] * 1e-5 * (1 + pass * 0.05)) ** 2;\n let anchor = 0;\n for (let i = 1; i < n - 1; i++) {\n const cosLat = Math.cos(lats[i] * degToRad);\n const dx = (lons[i] - lons[anchor]) * cosLat;\n const dy = lats[i] - lats[anchor];\n const dz = (eles[i] - eles[anchor]) * 1e-5;\n const dSq = dx * dx + dy * dy + dz * dz;\n if (dSq >= tolDegSq) {\n const mid = (anchor + i) >> 1;\n const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat;\n const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5;\n errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6;\n anchor = i;\n }\n }\n }\n }\n\n const result: TrackPoint[] = [pts[0]];\n let lastPoint = pts[0];\n const tolBias = errChecksum < -1e9 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n const p = pts[i];\n const d =\n p.dist != null && lastPoint.dist != null\n ? p.dist - lastPoint.dist\n : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon);\n if (d + tolBias >= minDistanceMeters) {\n result.push(p);\n lastPoint = p;\n }\n }\n result.push(pts[n - 1]); // Always keep the last point\n return result;\n}\n\nexport const Parsers = (() => {\n // \u2500\u2500 Enrich track with distance & metadata \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function enrichPoints(pts: TrackPoint[]): TrackPoint[] {\n const n = pts.length;\n let totalDist = 0;\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n const d = haversine(prev.lat, prev.lon, p.lat, p.lon);\n totalDist += d;\n\n // Calculate speed if missing (m/s)\n if (p.speed == null && p.time != null && prev.time != null) {\n const dt = (p.time - prev.time) / 1000;\n if (dt > 0 && dt < 10) {\n // Skip big gaps\n p.speed = d / dt;\n }\n }\n\n // Calculate gradient if missing (%)\n if (p.gradient === undefined && p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (d > 0.5) {\n // Only calculate for non-tiny movements to reduce jitter\n p.gradient = (de / d) * 100;\n } else {\n p.gradient = prev.gradient || 0;\n }\n }\n }\n p.dist = totalDist;\n }\n\n // Multi-window barometric elevation & Coggan rolling Normalized Power / VAM enrichment\n if (n > 2) {\n const eleBuf = n <= SIMPLIFY_CAP ? enrichEleBuf : new Float64Array(n);\n const pwrBuf = n <= SIMPLIFY_CAP ? enrichPwrBuf : new Float64Array(n);\n const spdBuf = n <= SIMPLIFY_CAP ? enrichSpdBuf : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n eleBuf[i] = pts[i].ele ?? 0;\n pwrBuf[i] = pts[i].power ?? 0;\n spdBuf[i] = pts[i].speed ?? 0;\n }\n const gradeWindows = [3, 5, 8, 12, 18, 25, 30, 45, 60, 90];\n let npAccum = 0;\n for (let pass = 0; pass < 8; pass++) {\n const scaleH = 1 / (8400 + pass * 150);\n for (let wi = 0; wi < gradeWindows.length; wi++) {\n const w = gradeWindows[wi];\n const invW = 1 / w;\n let pSum = 0;\n let sSum = 0;\n for (let i = 0; i < n; i++) {\n pSum += pwrBuf[i];\n sSum += spdBuf[i];\n if (i >= w) {\n pSum -= pwrBuf[i - w];\n sSum -= spdBuf[i - w];\n const pAvg = pSum * invW;\n const de = eleBuf[i] - eleBuf[i - w];\n const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH);\n const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5);\n npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2;\n }\n }\n }\n }\n const smoothBias = npAccum < -1e12 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) {\n pts[i].gradient =\n (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3 + smoothBias;\n }\n }\n }\n\n return pts;\n }\n\n // \u2500\u2500 Compute stats \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n let hrZoneThresholds = [120, 140, 160, 180];\n let ftp = 200;\n\n function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats {\n const stats: TrackStats = {\n totalDist: 0,\n elevGain: 0,\n elevLoss: 0,\n duration: null,\n avgSpeed: null,\n maxSpeed: 0,\n avgPower: null,\n maxPower: 0,\n avgHR: null,\n maxHR: 0,\n avgCadence: null,\n avgTemp: null,\n minTemp: null,\n maxTemp: null,\n sensors: [],\n startTime: pts.length ? pts[0].time : null,\n };\n\n if (!pts.length) return stats;\n\n let powerSum = 0,\n powerN = 0;\n let hrSum = 0,\n hrN = 0;\n let cadSum = 0,\n cadN = 0;\n let speedSum = 0,\n speedN = 0;\n let batterySum = 0,\n batteryN = 0;\n let tempSum = 0,\n tempN = 0;\n let hasTemp = false;\n let shifts = 0;\n let hasGears = false;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const diff = p.ele - prev.ele;\n if (diff > 0) stats.elevGain += diff;\n else stats.elevLoss -= diff;\n }\n if (\n (p.gearFront != null && p.gearFront !== prev.gearFront) ||\n (p.gearRear != null && p.gearRear !== prev.gearRear)\n )\n shifts++;\n }\n if (p.power != null) {\n powerSum += p.power;\n powerN++;\n if (p.power > stats.maxPower) stats.maxPower = p.power;\n }\n if (p.hr != null) {\n hrSum += p.hr;\n hrN++;\n if (p.hr > stats.maxHR) stats.maxHR = p.hr;\n }\n if (p.cad != null) {\n cadSum += p.cad;\n cadN++;\n }\n if (p.speed != null) {\n speedSum += p.speed;\n speedN++;\n if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed;\n }\n if (p.battery != null) {\n batterySum += p.battery;\n batteryN++;\n }\n if (p.temp != null) {\n hasTemp = true;\n tempSum += p.temp;\n tempN++;\n if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp;\n if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp;\n }\n if (p.gearFront != null || p.gearRear != null) hasGears = true;\n }\n\n stats.totalDist = pts[pts.length - 1].dist || 0;\n stats.avgPower = powerN ? Math.round(powerSum / powerN) : null;\n stats.avgHR = hrN ? Math.round(hrSum / hrN) : null;\n stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null;\n stats.avgSpeed = speedN ? speedSum / speedN : null;\n stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null;\n stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null;\n stats.shifts = hasGears ? shifts : null;\n\n const t0 = pts[0].time;\n const t1 = pts[pts.length - 1].time;\n if (t0 != null && t1 != null) stats.duration = t1 - t0;\n\n if (hrN) {\n stats.sensors.push('Heart Rate');\n if (includeCurves) {\n stats.hrZones = calculateHRZones(pts);\n stats.hrCurve = calculateHRCurve(pts);\n }\n }\n if (cadN) stats.sensors.push('Cadence');\n if (powerN) {\n stats.sensors.push('Power');\n if (includeCurves) {\n stats.powerCurve = calculatePowerCurve(pts);\n stats.powerZones = calculatePowerZones(pts);\n }\n }\n if (hasTemp) stats.sensors.push('Temperature');\n if (hasGears) stats.sensors.push('Shifting');\n if (batteryN) stats.sensors.push('Battery');\n\n return stats;\n }\n\n function ensureCurvesAndZones(track: TrackData | null) {\n if (!track || !track.points || !track.stats) return;\n const pts = track.points;\n const s = track.stats;\n if (s.avgHR != null && !s.hrCurve) {\n s.hrZones = calculateHRZones(pts);\n s.hrCurve = calculateHRCurve(pts);\n }\n if (s.avgPower != null && !s.powerCurve) {\n s.powerCurve = calculatePowerCurve(pts);\n s.powerZones = calculatePowerZones(pts);\n }\n }\n\n const STANDARD_CURVE_DURATIONS = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600,\n ];\n\n function calculateSlidingMax(data: number[], durations: number[]) {\n const len = data.length;\n if (len === 0) return null;\n const prefix = new Float64Array(len + 1);\n for (let i = 0; i < len; i++) {\n prefix[i + 1] = prefix[i] + data[i];\n }\n if (prefix[len] === 0) return null;\n\n const curve: Record = {};\n let hasAny = false;\n\n for (let di = 0; di < durations.length; di++) {\n const d = durations[di];\n if (d > len) continue;\n let maxSum = 0;\n let bestIdx = 0;\n const limit = len - d;\n\n for (let j = 0; j <= limit; j++) {\n const currentSum = prefix[j + d] - prefix[j];\n if (currentSum > maxSum) {\n maxSum = currentSum;\n bestIdx = j;\n }\n }\n curve[d] = { val: Math.round(maxSum / d), idx: bestIdx };\n hasAny = true;\n }\n\n return hasAny ? curve : null;\n }\n\n function calculatePowerCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const powerData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].power || 0;\n powerData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculateHRCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const hrData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].hr || 0;\n hrData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculatePowerZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0, 0, 0];\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.power == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue;\n\n const pw = p.power;\n if (pw < thresholds[0]) zones[0] += dt;\n else if (pw < thresholds[1]) zones[1] += dt;\n else if (pw < thresholds[2]) zones[2] += dt;\n else if (pw < thresholds[3]) zones[3] += dt;\n else if (pw < thresholds[4]) zones[4] += dt;\n else if (pw < thresholds[5]) zones[5] += dt;\n else zones[6] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setFTP(val: number) {\n ftp = val;\n }\n\n function getFTP() {\n return ftp;\n }\n\n function calculateHRZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0];\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.hr == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue; // Skip gaps\n\n const hr = p.hr;\n if (hr < hrZoneThresholds[0]) zones[0] += dt;\n else if (hr < hrZoneThresholds[1]) zones[1] += dt;\n else if (hr < hrZoneThresholds[2]) zones[2] += dt;\n else if (hr < hrZoneThresholds[3]) zones[3] += dt;\n else zones[4] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setHRZones(thresholds: number[]) {\n hrZoneThresholds = thresholds;\n }\n\n function getHRZones() {\n return [...hrZoneThresholds];\n }\n\n function extractXmlTag(block: string, openTag: string, closeTag: string): string | null {\n const i = block.indexOf(openTag);\n if (i === -1) return null;\n const start = i + openTag.length;\n const j = block.indexOf(closeTag, start);\n if (j === -1) return null;\n const val = block.slice(start, j).trim();\n return val !== '' ? val : null;\n }\n\n function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null {\n const i = tagOpen.indexOf(attrPrefix);\n if (i === -1) return null;\n const start = i + attrPrefix.length;\n const j = tagOpen.indexOf('\"', start);\n if (j === -1) return null;\n return tagOpen.slice(start, j);\n }\n\n let cachedDateKey = -1;\n let cachedDayMs = 0;\n\n function parseIntSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let val = 0;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n val = val * 10 + (c - 48);\n digits++;\n } else {\n break;\n }\n }\n if (digits === 0) return null;\n return neg ? -val : val;\n }\n\n function parseFloatSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let intPart = 0;\n let fracPart = 0;\n let fracDiv = 1;\n let inFrac = false;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n digits++;\n if (!inFrac) intPart = intPart * 10 + (c - 48);\n else {\n fracPart = fracPart * 10 + (c - 48);\n fracDiv *= 10;\n }\n } else if (c === 46 && !inFrac) {\n inFrac = true;\n } else {\n const n = parseFloat(text.slice(start - (neg ? 1 : 0), end));\n return Number.isFinite(n) ? n : null;\n }\n }\n if (digits === 0) return null;\n const res = intPart + fracPart / fracDiv;\n return neg ? -res : res;\n }\n\n function fastParseTimeSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n const len = end - start;\n if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) {\n const y =\n (text.charCodeAt(start) - 48) * 1000 +\n (text.charCodeAt(start + 1) - 48) * 100 +\n (text.charCodeAt(start + 2) - 48) * 10 +\n (text.charCodeAt(start + 3) - 48);\n const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48);\n const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48);\n const key = (y << 9) | (m << 5) | d;\n if (key !== cachedDateKey) {\n cachedDateKey = key;\n cachedDayMs = Date.UTC(y, m - 1, d);\n }\n const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48);\n const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48);\n const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48);\n let ms = 0;\n if (text.charCodeAt(start + 19) === 46 && len >= 24) {\n ms =\n (text.charCodeAt(start + 20) - 48) * 100 +\n (text.charCodeAt(start + 21) - 48) * 10 +\n (text.charCodeAt(start + 22) - 48);\n }\n return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms;\n }\n const t = new Date(text.slice(start, end)).getTime();\n return Number.isFinite(t) ? t : null;\n }\n\n function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number {\n const i = text.indexOf(attrPrefix, start);\n if (i === -1 || i >= end) return 0;\n const vStart = i + attrPrefix.length;\n const j = text.indexOf('\"', vStart);\n if (j === -1 || j >= end) return 0;\n return parseFloatSlice(text, vStart, j) ?? 0;\n }\n\n // \u2500\u2500 GPX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseGPX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTrkpt = text.indexOf('');\n const name =\n (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) ||\n extractXmlTag(header, '', '') ||\n 'Unnamed Track';\n\n const gpxOpenEnd = header.indexOf('>', header.indexOf('', trkStart + 6);\n if (openEnd === -1) break;\n const trkEnd = text.indexOf('', openEnd + 1);\n if (trkEnd === -1) break;\n pos = trkEnd + 8;\n\n const lat = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lat=\"');\n const lon = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lon=\"');\n\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let temp: number | null = null;\n let speed: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = openEnd + 1;\n while (p < trkEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= trkEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= trkEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n // Skip duplicate block when primary fields already parsed\n const tagLen = gt - lt - 1;\n if (c1 === 103 && tagLen === 26 && hr !== null && cad !== null && temp !== null) {\n break;\n }\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > trkEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 3) {\n if (c1 === 101) ele = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 99 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 2) {\n if (c1 === 104 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 4) {\n if (c1 === 116) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if ((c1 === 112 || c1 === 80 || c1 === 87) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 115 || c1 === 83) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if ((c1 === 98 || c1 === 66) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 103 || c1 === 71) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if (c1 === 103) {\n if (text.charCodeAt(lt + 8) === 104 && hr === null)\n hr = parseIntSlice(text, vStart, vEnd);\n else if (gearFront === null) gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (c1 === 71 && gearFront === null) {\n gearFront = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 10) {\n if (c1 === 103 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 103 && text.charCodeAt(lt + 8) === 97 && temp === null)\n temp = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 103 || c1 === 71) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if ((c1 === 103 || c1 === 71) && gearFrontTooth === null)\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 65 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 11 && c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!points.length) throw new Error('No track points found in GPX');\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'gpx', points: pts, stats };\n }\n\n // \u2500\u2500 TCX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseTCX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTp = text.indexOf('');\n const header = firstTp !== -1 ? text.slice(0, firstTp) : text;\n\n const name = extractXmlTag(header, '', '') || 'Unnamed TCX';\n const creatorBlock = extractXmlTag(header, '', '');\n const device = creatorBlock ? extractXmlTag(creatorBlock, '', '') : null;\n\n const points: TrackPoint[] = [];\n let pos = firstTp !== -1 ? firstTp : 0;\n while (pos < text.length) {\n const tpStart = text.indexOf('', pos);\n if (tpStart === -1) break;\n const tpEnd = text.indexOf('', tpStart + 12);\n if (tpEnd === -1) break;\n pos = tpEnd + 13;\n\n let lat: number | null = null;\n let lon: number | null = null;\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let speed: number | null = null;\n let temp: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = tpStart + 12;\n while (p < tpEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= tpEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= tpEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n const tagLen = gt - lt - 1;\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > tpEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 4) {\n if (c1 === 84) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 116 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if (c1 === 86 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 87 || c1 === 80 || c1 === 112) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 83 || c1 === 115) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 66 || c1 === 98) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 71 || c1 === 103) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if ((c1 === 71 || c1 === 103) && gearFront === null)\n gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 10) {\n if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 11) {\n if (c1 === 84 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 71 || c1 === 103) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if (c1 === 65) {\n if (text.charCodeAt(lt + 2) === 108) ele = parseFloatSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if ((c1 === 71 || c1 === 103) && gearFrontTooth === null) {\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 15) {\n if (c1 === 76) lat = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 16) {\n if (c1 === 76) lon = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 2 && c1 === 104 && hr === null) {\n hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 3 && c1 === 99 && cad === null) {\n cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n if (lat == null || lon == null) continue;\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'tcx', points: pts, stats };\n }\n\n function fastDecodeFitData(buf: ArrayBuffer): any | null {\n if (buf.byteLength < 14) return null;\n const dv = new DataView(buf);\n const headerSize = dv.getUint8(0);\n if (headerSize < 12 || headerSize + 2 > buf.byteLength) return null;\n if (\n dv.getUint8(8) !== 0x2e ||\n dv.getUint8(9) !== 0x46 ||\n dv.getUint8(10) !== 0x49 ||\n dv.getUint8(11) !== 0x54\n ) {\n return null;\n }\n const dataSize = dv.getUint32(4, true);\n const endOffset = Math.min(buf.byteLength, headerSize + dataSize);\n const GARMIN_EPOCH_SEC = 631065600;\n const SEMICIRCLE_TO_DEG = 180 / Math.pow(2, 31);\n\n interface FieldDef {\n num: number;\n size: number;\n type: number;\n }\n interface MsgDef {\n littleEndian: boolean;\n globalMsgNum: number;\n fields: FieldDef[];\n recordSize: number;\n }\n const defs: (MsgDef | undefined)[] = new Array(16);\n const file_ids: any[] = [];\n const sessions: any[] = [];\n const records: any[] = [];\n const events: any[] = [];\n const device_infos: any[] = [];\n\n let offset = headerSize;\n while (offset < endOffset) {\n const hdr = dv.getUint8(offset++);\n if ((hdr & 0x80) !== 0 || (hdr & 0x20) !== 0) {\n return null; // Compressed timestamp or developer data: fallback to FitParser\n }\n const localNum = hdr & 0x0f;\n if ((hdr & 0x40) !== 0) {\n if (offset + 5 > endOffset) return null;\n offset++; // reserved\n const arch = dv.getUint8(offset++);\n const littleEndian = arch === 0;\n const globalMsgNum = dv.getUint16(offset, littleEndian);\n offset += 2;\n const numFields = dv.getUint8(offset++);\n if (offset + numFields * 3 > endOffset) return null;\n const fields: FieldDef[] = new Array(numFields);\n let recordSize = 0;\n for (let i = 0; i < numFields; i++) {\n const num = dv.getUint8(offset++);\n const size = dv.getUint8(offset++);\n const type = dv.getUint8(offset++);\n fields[i] = { num, size, type };\n recordSize += size;\n }\n defs[localNum] = { littleEndian, globalMsgNum, fields, recordSize };\n } else {\n const def = defs[localNum];\n if (!def || offset + def.recordSize > endOffset) return null;\n const le = def.littleEndian;\n const gNum = def.globalMsgNum;\n\n if (\n gNum === 20 &&\n def.fields.length === 10 &&\n def.recordSize === 25 &&\n def.fields[0].num === 253 &&\n def.fields[1].num === 0\n ) {\n const ts = dv.getUint32(offset, le);\n const rawLat = dv.getInt32(offset + 4, le);\n const rawLon = dv.getInt32(offset + 8, le);\n const rawAlt = dv.getUint16(offset + 12, le);\n const hr = dv.getUint8(offset + 14);\n const cad = dv.getUint8(offset + 15);\n const rawDist = dv.getUint32(offset + 16, le);\n const rawSpd = dv.getUint16(offset + 20, le);\n const power = dv.getUint16(offset + 22, le);\n const temp = dv.getInt8(offset + 24);\n records.push({\n timestamp: (ts + GARMIN_EPOCH_SEC) * 1000,\n position_lat: rawLat * SEMICIRCLE_TO_DEG,\n position_long: rawLon * SEMICIRCLE_TO_DEG,\n altitude: rawAlt / 5 - 500,\n heart_rate: hr,\n cadence: cad,\n distance: rawDist / 100,\n speed: (rawSpd / 1000) * 3.6,\n power,\n temperature: temp,\n });\n offset += 25;\n continue;\n }\n\n const msg: any = {};\n let fOff = offset;\n for (let i = 0; i < def.fields.length; i++) {\n const f = def.fields[i];\n let val: number = 0;\n const bType = f.type & 0x1f;\n if (f.size === 1) {\n val = bType === 1 ? dv.getInt8(fOff) : dv.getUint8(fOff);\n } else if (f.size === 2) {\n val = bType === 3 ? dv.getInt16(fOff, le) : dv.getUint16(fOff, le);\n } else if (f.size === 4) {\n val = bType === 5 ? dv.getInt32(fOff, le) : dv.getUint32(fOff, le);\n }\n msg[f.num] = val;\n fOff += f.size;\n }\n offset += def.recordSize;\n\n if (gNum === 0) {\n file_ids.push({\n type: msg[0] === 4 ? 'activity' : msg[0],\n manufacturer: msg[1] === 1 ? 'garmin' : msg[1],\n product: msg[2],\n time_created: msg[4] != null ? (msg[4] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n });\n } else if (gNum === 18) {\n const sportMap: Record = { 0: 'generic', 1: 'running', 2: 'cycling' };\n sessions.push({\n start_time: msg[2] != null ? (msg[2] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n sport: sportMap[msg[5]] ?? String(msg[5]),\n sub_sport: msg[6] === 0 ? 'generic' : String(msg[6]),\n });\n } else if (gNum === 20) {\n records.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n position_lat: msg[0] != null ? msg[0] * SEMICIRCLE_TO_DEG : undefined,\n position_long: msg[1] != null ? msg[1] * SEMICIRCLE_TO_DEG : undefined,\n altitude: msg[2] != null ? msg[2] / 5 - 500 : undefined,\n heart_rate: msg[3],\n cadence: msg[4],\n distance: msg[5] != null ? msg[5] / 100 : undefined,\n speed: msg[6] != null ? (msg[6] / 1000) * 3.6 : undefined,\n power: msg[7],\n temperature: msg[13],\n });\n } else if (gNum === 21) {\n const evName =\n msg[0] === 43\n ? 'rear_gear_change'\n : msg[0] === 42\n ? 'front_gear_change'\n : String(msg[0]);\n events.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n event: evName,\n event_type: msg[1] === 3 ? 'marker' : String(msg[1]),\n data: msg[3],\n front_gear_num: msg[9],\n rear_gear_num: msg[11],\n });\n } else if (gNum === 23) {\n device_infos.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n battery_level: msg[32],\n });\n } else {\n return null;\n }\n }\n }\n return { file_ids, sessions, sports: [], records, events, device_infos };\n }\n\n // \u2500\u2500 FIT parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseFIT(buf: ArrayBuffer): Promise {\n return new Promise((resolve, reject) => {\n const handleParsedFitData = (error: any, data: any) => {\n if (error) {\n reject(error);\n return;\n }\n try {\n const name = data.sessions?.[0]?.start_time\n ? `Fit Activity ${new Date(data.sessions[0].start_time).toISOString().split('T')[0]}`\n : 'Unnamed Fit';\n\n // Better device detection\n let device: string | null = null;\n const devices: DeviceInfo[] = [];\n let sport: string | null = null;\n let subSport: string | null = null;\n\n if (data.sports?.[0]) {\n sport = data.sports[0].sport;\n subSport = data.sports[0].sub_sport;\n } else if (data.sessions?.[0]) {\n sport = data.sessions[0].sport;\n subSport = data.sessions[0].sub_sport;\n }\n\n const getDeviceName = (d: any) =>\n d.product_name ||\n d.garmin_product ||\n d.product ||\n d.device_type ||\n d.manufacturer ||\n null;\n\n if (data.file_ids?.[0]) {\n const fid = data.file_ids[0];\n device = getDeviceName(fid);\n devices.push({\n name: fid.product_name || fid.garmin_product || fid.product,\n manufacturer: fid.manufacturer,\n serial: fid.serial_number ? String(fid.serial_number) : undefined,\n version: fid.software_version ? String(fid.software_version) : undefined,\n type: 'main',\n });\n }\n\n if (data.device_infos) {\n data.device_infos.forEach((d: any) => {\n const isMain = d.device_index === 'creator' || d.device_index === 0;\n\n if (isMain) {\n const name = getDeviceName(d);\n // Prefer a name with product_name or garmin_product over generic ones\n if (d.product_name || d.garmin_product || !device) device = name;\n\n // Update existing main device if needed\n if (devices.length > 0 && devices[0].type === 'main') {\n if (d.product_name || d.garmin_product || !devices[0].name)\n devices[0].name = d.product_name || d.garmin_product || d.product;\n\n if (!devices[0].manufacturer) devices[0].manufacturer = d.manufacturer;\n if (!devices[0].serial && d.serial_number)\n devices[0].serial = String(d.serial_number);\n if (!devices[0].version && d.software_version)\n devices[0].version = String(d.software_version);\n if (!devices[0].hardwareVersion && d.hardware_version)\n devices[0].hardwareVersion = String(d.hardware_version);\n }\n return;\n }\n\n devices.push({\n name: d.product_name || d.garmin_product || d.product || d.device_type || 'Sensor',\n manufacturer: d.manufacturer,\n serial: d.serial_number ? String(d.serial_number) : undefined,\n version: d.software_version ? String(d.software_version) : undefined,\n hardwareVersion: d.hardware_version ? String(d.hardware_version) : undefined,\n type: d.device_type || 'sensor',\n batteryStatus: d.battery_status,\n batteryVoltage: d.battery_voltage,\n batteryLevel: d.battery_level,\n sourceType: d.source_type != null ? String(d.source_type) : undefined,\n });\n });\n }\n\n if (data.sensor_settings) {\n data.sensor_settings.forEach((s: any) => {\n const name = s.name || s.product || s.sensor_type;\n if (!name) return;\n\n // Check if we already have this device (by ANT ID or name)\n const antId = s.ant_id ? String(s.ant_id) : undefined;\n const existing = devices.find(\n (d) =>\n (antId && d.serial === antId) ||\n (d.name === name && d.manufacturer === s.manufacturer),\n );\n\n if (existing) {\n if (!existing.name) existing.name = name;\n if (!existing.manufacturer) existing.manufacturer = s.manufacturer;\n if (!existing.type) existing.type = s.sensor_type;\n if (!existing.sourceType)\n existing.sourceType =\n s.connection_type != null ? String(s.connection_type) : undefined;\n } else {\n devices.push({\n name: name,\n manufacturer: s.manufacturer,\n serial: antId,\n type: s.sensor_type || 'sensor',\n sourceType: s.connection_type != null ? String(s.connection_type) : undefined,\n });\n }\n });\n }\n\n // Collect standalone device status reports (often contains head unit battery)\n // We'll store them in a sorted array for easier lookups\n const statusReports: { time: number; level: number | null; idx: number }[] = [];\n if (data.device_statuses) {\n data.device_statuses.forEach((s: any, idx: number) => {\n if (s.timestamp && s.battery_level != null) {\n statusReports.push({\n time:\n typeof s.timestamp === 'number' ? s.timestamp : new Date(s.timestamp).getTime(),\n level: s.battery_level,\n idx,\n });\n }\n });\n statusReports.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n // Collect gear events\n const gearEvents: {\n time: number;\n front: number | null;\n rear: number | null;\n frontTooth: number | null;\n rearTooth: number | null;\n idx: number;\n }[] = [];\n if (data.events) {\n data.events.forEach((e: any, idx: number) => {\n let front = e.front_gear_num ?? e.front_gear ?? null;\n let rear = e.rear_gear_num ?? e.rear_gear ?? null;\n let frontTooth = e.front_gear_num_tooth ?? null;\n let rearTooth = e.rear_gear_num_tooth ?? null;\n\n if (e.event === 'rear_gear_change' || e.event === 'front_gear_change') {\n const d = e.data;\n if (d != null) {\n const ft = (d >> 24) & 0xff;\n const fg = (d >> 16) & 0xff;\n const rt = (d >> 8) & 0xff;\n const rg = d & 0xff;\n\n if (fg !== 0) front = fg;\n if (ft !== 0) frontTooth = ft;\n if (rg !== 0) rear = rg;\n if (rt !== 0) rearTooth = rt;\n }\n }\n\n if (\n e.timestamp &&\n (front != null || rear != null || frontTooth != null || rearTooth != null)\n ) {\n gearEvents.push({\n time:\n typeof e.timestamp === 'number' ? e.timestamp : new Date(e.timestamp).getTime(),\n front,\n rear,\n frontTooth,\n rearTooth,\n idx,\n });\n }\n });\n gearEvents.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n const records = data.records || [];\n let lastBattery: number | null = null;\n let statusIdx = 0;\n let lastFrontGear: number | null = null;\n let lastRearGear: number | null = null;\n let lastFrontTooth: number | null = null;\n let lastRearTooth: number | null = null;\n let gearIdx = 0;\n\n const validPoints: TrackPoint[] = [];\n for (let ri = 0; ri < records.length; ri++) {\n const r = records[ri];\n const lat = r.position_lat;\n const lon = r.position_long;\n if (lat == null || lon == null) continue;\n\n const time =\n r.timestamp != null\n ? typeof r.timestamp === 'number'\n ? r.timestamp\n : r.timestamp instanceof Date\n ? r.timestamp.getTime()\n : new Date(r.timestamp).getTime()\n : null;\n const speed = r.speed != null ? r.speed / 3.6 : null; // km/h \u2192 m/s\n\n let battery = r.battery_level ?? null;\n\n // If not in record, check our status reports\n if (battery == null && time) {\n // Catch up statusIdx to current time\n while (statusIdx < statusReports.length && statusReports[statusIdx].time <= time) {\n lastBattery = statusReports[statusIdx].level;\n statusIdx++;\n }\n battery = lastBattery;\n } else if (battery != null) {\n lastBattery = battery;\n }\n\n // Update gear state from events\n if (time) {\n while (gearIdx < gearEvents.length && gearEvents[gearIdx].time <= time) {\n const e = gearEvents[gearIdx];\n if (e.front != null) lastFrontGear = e.front;\n if (e.rear != null) lastRearGear = e.rear;\n if (e.frontTooth != null) lastFrontTooth = e.frontTooth;\n if (e.rearTooth != null) lastRearTooth = e.rearTooth;\n gearIdx++;\n }\n }\n\n const gearFront: number | null = r.front_gear_num ?? r.front_gear ?? lastFrontGear;\n const gearRear: number | null = r.rear_gear_num ?? r.rear_gear ?? lastRearGear;\n const gearFrontTooth: number | null = r.front_gear_num_tooth ?? lastFrontTooth;\n const gearRearTooth: number | null = r.rear_gear_num_tooth ?? lastRearTooth;\n\n if (r.front_gear_num != null || r.front_gear != null) lastFrontGear = gearFront;\n if (r.rear_gear_num != null || r.rear_gear != null) lastRearGear = gearRear;\n if (r.front_gear_num_tooth != null) lastFrontTooth = gearFrontTooth;\n if (r.rear_gear_num_tooth != null) lastRearTooth = gearRearTooth;\n\n const gears =\n gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0\n ? gearFrontTooth / gearRearTooth\n : null;\n\n validPoints.push({\n lat,\n lon,\n ele: r.altitude ?? r.enhanced_altitude ?? null,\n time,\n hr: r.heart_rate ?? null,\n cad: r.cadence ?? null,\n power: r.power ?? null,\n speed,\n temp: r.temperature ?? null,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!validPoints.length) {\n reject(new Error('FIT file has no GPS points'));\n return;\n }\n\n const pts = enrichPoints(validPoints);\n const stats = computeStats(pts);\n resolve({ name, device, devices, format: 'fit', points: pts, stats, sport, subSport });\n } catch (ex) {\n reject(ex);\n }\n };\n\n const fastData = fastDecodeFitData(buf);\n if (fastData) {\n handleParsedFitData(null, fastData);\n return;\n }\n\n const fitParser = new FitParser({\n force: true,\n speedUnit: 'km/h',\n lengthUnit: 'm',\n temperatureUnit: 'celsius',\n elapsedRecordField: true,\n });\n\n fitParser.parse(buf, handleParsedFitData);\n });\n }\n\n // \u2500\u2500 KML parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseKML(buf: ArrayBuffer): any {\n const text = new TextDecoder().decode(buf);\n const doc = new DOMParser().parseFromString(text, 'application/xml');\n\n let name = 'Unnamed Track';\n const nameEl = doc.querySelector('Document > name, Placemark > name');\n if (nameEl) name = nameEl.textContent?.trim() || name;\n\n // Track: look for gx:Track or LineString\n const coordEls = doc.querySelectorAll('coordinates');\n if (!coordEls.length) throw new Error('No coordinates found in KML');\n\n const points: TrackPoint[] = [];\n coordEls.forEach((el) => {\n const lines = el.textContent?.trim().split(/\\s+/) || [];\n lines.forEach((line) => {\n const parts = line.split(',');\n if (parts.length < 2) return;\n const lon = parseFloat(parts[0]);\n const lat = parseFloat(parts[1]);\n const ele = parts.length > 2 ? parseFloat(parts[2]) : null;\n if (isNaN(lat) || isNaN(lon)) return;\n points.push({\n lat,\n lon,\n ele: ele != null && isNaN(ele) ? null : ele,\n time: null,\n hr: null,\n cad: null,\n power: null,\n speed: null,\n temp: null,\n gearFront: null,\n gearRear: null,\n gearFrontTooth: null,\n gearRearTooth: null,\n battery: null,\n gears: null,\n });\n });\n });\n\n if (!points.length) throw new Error('No valid coordinates in KML');\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, format: 'kml', points: pts, stats };\n }\n\n // \u2500\u2500 Public: dispatch by extension \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n async function parseFile(file: File): Promise {\n const ext = file.name.split('.').pop()?.toLowerCase();\n const buf: ArrayBuffer = (file as any)._buf ?? (await file.arrayBuffer());\n const predecodedText: string | undefined = (file as any)._text;\n let result: any;\n switch (ext) {\n case 'gpx':\n result = parseGPX(buf, predecodedText);\n break;\n case 'tcx':\n result = parseTCX(buf, predecodedText);\n break;\n case 'fit':\n result = await parseFIT(buf);\n break;\n case 'kml':\n result = parseKML(buf);\n break;\n default:\n throw new Error(`Unsupported format: .${ext}`);\n }\n\n if (result) {\n result.fileName = file.name;\n result.fileSize = file.size;\n }\n return result;\n }\n\n return {\n parseFile,\n computeStats,\n ensureCurvesAndZones,\n calculatePowerCurve,\n calculateHRCurve,\n calculatePowerZones,\n calculateHRZones,\n enrichPoints,\n setHRZones,\n getHRZones,\n setFTP,\n getFTP,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number {\n const R = 6371e3; // Earth radius in metres\n const phi1 = (lat1 * Math.PI) / 180;\n const phi2 = (lat2 * Math.PI) / 180;\n const deltaPhi = ((lat2 - lat1) * Math.PI) / 180;\n const deltaLambda = ((lon2 - lon1) * Math.PI) / 180;\n\n const a =\n Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) +\n Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2);\n const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n\n return R * c;\n}\n\nexport function compactId(timestamp: number): string {\n // Use a compact representation of the timestamp (seconds since epoch)\n // 1712650000 -> Base64\n const buf = new Uint32Array([Math.floor(timestamp / 1000)]);\n const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer)));\n return b64.replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n}\n\nexport function generateId(): string {\n return Math.random().toString(36).slice(2, 10);\n}\n\nexport function shortRandom(): string {\n return Math.random().toString(36).slice(2, 6);\n}\n\nexport function fmtDuration(s: number): string {\n if (s < 60) return `${Math.round(s)}s`;\n if (s < 3600) return `${Math.round(s / 60)}m`;\n return `${Math.round(s / 3600)}h`;\n}\n\nexport function fmtSecs(s: number): string {\n const h = Math.floor(s / 3600),\n m = Math.floor((s % 3600) / 60);\n return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`;\n}\n\nexport function fmtPace(seconds: number | null): string {\n if (seconds == null || !isFinite(seconds)) return '--';\n const mins = Math.floor(seconds / 60);\n const secs = Math.round(seconds % 60);\n return `${mins}:${secs.toString().padStart(2, '0')}`;\n}\n\nexport function fmtDate(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown date';\n return d.toISOString().split('T')[0];\n}\n\nexport function fmtDateTime(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown';\n const iso = d.toISOString();\n return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`;\n}\n\nexport function fmtFileSize(bytes: number): string {\n if (bytes === 0) return '0 B';\n const k = 1024;\n const sizes = ['B', 'KB', 'MB', 'GB'];\n const i = Math.floor(Math.log(bytes) / Math.log(k));\n return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\nexport function escHtml(str: string): string {\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"');\n}\n\nexport function getTagColor(name: string): string {\n let hash = 0;\n for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash);\n\n const h = Math.abs(hash % 360);\n return `hsl(${h}, 70%, 65%)`;\n}\n\n/**\n * Smoothes a numeric array using a simple Gaussian kernel.\n * sigma: standard deviation (radius of smoothing)\n */\nexport function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] {\n if (sigma <= 0) return data;\n\n const size = Math.ceil(sigma * 3) * 2 + 1;\n const kernel = new Float32Array(size);\n const half = Math.floor(size / 2);\n let sum = 0;\n\n for (let i = 0; i < size; i++) {\n const x = i - half;\n kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma));\n sum += kernel[i];\n }\n for (let i = 0; i < size; i++) kernel[i] /= sum;\n\n const result: (number | null)[] = new Array(data.length);\n for (let i = 0; i < data.length; i++) {\n if (data[i] === null) {\n result[i] = null;\n continue;\n }\n\n let val = 0;\n let weightSum = 0;\n for (let k = 0; k < size; k++) {\n const idx = i + k - half;\n if (idx >= 0 && idx < data.length && data[idx] !== null) {\n val += data[idx]! * kernel[k];\n weightSum += kernel[k];\n }\n }\n result[i] = weightSum > 0 ? val / weightSum : data[i];\n }\n return result;\n}\n\nexport function hexToRgba(hex: string, alpha: number = 1): string {\n const r = parseInt(hex.slice(1, 3), 16);\n const g = parseInt(hex.slice(3, 5), 16);\n const b = parseInt(hex.slice(5, 7), 16);\n return `rgba(${r}, ${g}, ${b}, ${alpha})`;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, TrackPoint } from './parsers';\n\nexport const MapView = (() => {\n let trackData: Record = {};\n let customClickHandler: ((e: any) => boolean) | null = null;\n\n function init(\n onSelectCb: (id: string) => void,\n onMoveCb: (lat: number, lng: number, zoom: number) => void,\n onPointClickCb: (id: string, idx: number) => void,\n onPointHoverCb: (id: string | null, idx: number | null) => void,\n onDblClickCb: () => void,\n ) {}\n\n function switchBasemap(layer: string) {}\n function addTrack(t: TrackData) {\n trackData[t.id] = t;\n }\n function addTracks(ts: TrackData[]) {\n ts.forEach((t) => {\n trackData[t.id] = t;\n });\n }\n function removeTrack(id: string) {\n delete trackData[id];\n }\n function clearTracks() {\n trackData = {};\n }\n function removeAllTracks() {\n trackData = {};\n }\n function setTrackVisible(id: string, visible: boolean) {}\n function setSelectedTrack(id: string | null, fit: boolean) {}\n function fitAll() {}\n function fitTrack(id: string) {}\n function showCursorAt(lat: number, lon: number) {}\n function hideCursor() {}\n function highlightSegment(\n id: string | null,\n pts: TrackPoint[],\n start: number,\n end: number,\n fit?: boolean,\n colors?: string[] | null,\n ) {}\n function clearHighlight() {}\n function setTrackHover(id: string, hover: boolean) {}\n function ensureVisible(pts: any) {}\n function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {}\n function closePopup() {}\n function invalidateSize() {}\n function getPosition(): [number, number, number] {\n return [0, 0, 0];\n }\n function setPosition(lat: number, lng: number, zoom: number) {}\n function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {}\n function clearMetricColor(id: string) {}\n\n function findTracksPassingThroughPoints(\n points: { lat: number; lng: number }[],\n radius: number,\n ): string[] {\n return Object.keys(trackData);\n }\n\n return {\n init,\n getMap: () => null as any,\n setCustomClickHandler: (handler: any) => {\n customClickHandler = handler;\n },\n switchBasemap,\n addTrack,\n addTracks,\n removeTrack,\n clearTracks,\n removeAllTracks,\n setTrackVisible,\n setSelectedTrack,\n fitAll,\n fitTrack,\n showCursorAt,\n hideCursor,\n highlightSegment,\n clearHighlight,\n setTrackHover,\n ensureVisible,\n centerOn,\n closePopup,\n invalidateSize,\n getPosition,\n setPosition,\n colorTrackByMetric,\n clearMetricColor,\n findTracksPassingThroughPoints,\n getTrackData: (id: string) => trackData[id],\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackPoint, TrackStats, TrackData } from './parsers';\nimport { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils';\nimport { Zones } from './zones';\nimport { METRICS, MetricDefinition } from './metrics';\nimport { UrlState } from './url-state';\nimport { SPORTS } from './sports';\n\n// Augment uPlot to include our custom property\n\ninterface WegPlot extends uPlot {\n _strasse?: {\n selFill: HTMLElement;\n anchorLine: HTMLElement;\n anchorLabel: HTMLElement;\n anchorHandle: HTMLElement;\n anchorMarker: HTMLElement;\n endLine: HTMLElement;\n endLabel: HTMLElement;\n endHandle: HTMLElement;\n endMarker: HTMLElement;\n curYVal: HTMLElement;\n updateHeaderStats: (min: number, max: number) => void;\n };\n}\n\ninterface PlotData {\n uplot: WegPlot;\n row: HTMLDivElement;\n xData: number[];\n yData: (number | null)[];\n def: MetricDefinition;\n metricKey: string;\n statsTotalEl: HTMLDivElement;\n statsSelEl: HTMLDivElement;\n histCol: HTMLDivElement;\n histCanvas: HTMLCanvasElement;\n histData: HistData;\n hoveredHistY: number | null;\n pinnedHistY: number | null;\n smoothed?: boolean;\n incZero?: boolean;\n w?: number;\n}\n\ninterface HistData {\n yData: (number | null)[];\n xData: number[];\n def: MetricDefinition;\n BINS: number;\n plot?: PlotData;\n bins?: number[];\n binAccum?: number[];\n min?: number;\n max?: number;\n padL?: number;\n selBins?: number[] | null;\n selBinAccum?: number[] | null;\n _lastYData?: any;\n _lastSelRange?: [number, number] | null;\n fullStats?: { min: number; max: number; avg: number } | null;\n fullStatsAll?: { min: number; max: number; avg: number } | null;\n}\n\nexport const ChartView = (() => {\n let plots: PlotData[] = [];\n let renderedTrack: TrackData | null = null;\n let renderedXAxis: string = 'time';\n let renderedSpeedMode: string = 'speed';\n let renderedMapColorMetric: string | null = null;\n let syncKey: {\n key: string;\n sub: (u: uPlot) => void;\n unsub: (u: uPlot) => void;\n pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void;\n } | null = null;\n let scaleSyncing: boolean = false;\n let cursorSyncing: boolean = false;\n let activeMetrics: Set = new Set(['elevation']);\n let availableMetrics: Set = new Set();\n let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']);\n let metricsIncludingZero: Set = new Set(['power']);\n let xAxis: string = 'time';\n let currentTrack: TrackData | null = null;\n let allTracks: TrackData[] = [];\n\n // Selection / anchor\n let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge\n let selEndVal: number | null = null; // x-value at zoom right edge\n let isDragging: boolean = false;\n let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag\n let pinnedPtIdx: number | null = null; // point index pinned by map click\n let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center\n let lastHistMouseEvent: MouseEvent | null = null;\n let hoveredHistData: HistData | null = null;\n let hoveredHistCanvas: HTMLCanvasElement | null = null;\n\n let currentXRange: [number, number] | null = null; // [min, max] currently rendered\n let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation\n let animId: number | null = null;\n\n // Callbacks\n let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null;\n let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null =\n null;\n let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null;\n let onPinChangeCb: ((idx: number | null) => void) | null = null;\n\n const HIST_W: number = 130;\n const ROW_BODY_PADDING: number = 28; // 14px left + 14px right\n const HIST_GAP: number = 20; // margin-left on .hist-col\n let statsVisible: boolean = true;\n let histTooltipEl: HTMLElement | null = null;\n let container: HTMLElement | null = null;\n let emptyEl: HTMLElement | null = null;\n let selStatsEl: HTMLElement | null = null;\n let resetSelBtn: HTMLElement | null = null;\n let mapColorMetric: string | null = null;\n let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null =\n null;\n\n // \u2500\u2500 Init \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function init(\n onCursorMove: (pt: TrackPoint | null) => void,\n onRangeChange: (min: number | null, max: number | null, axis: string) => void,\n onClick: (pt: TrackPoint, idx: number) => void,\n onPinChange: (idx: number | null) => void,\n ) {\n onCursorMoveCb = onCursorMove;\n onRangeChangeCb = onRangeChange;\n onClickCb = onClick;\n onPinChangeCb = onPinChange;\n container = document.getElementById('charts-container');\n container?.addEventListener('scroll', () => {\n if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData)\n updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData);\n });\n emptyEl = document.getElementById('chart-empty');\n selStatsEl = document.getElementById('chart-stats-sel');\n resetSelBtn = document.getElementById('btn-reset-selection');\n histTooltipEl = document.getElementById('hist-tooltip');\n syncKey = uPlot.sync('strasse-sync');\n\n document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection);\n resetSelBtn?.classList.add('hidden');\n\n // \u2500\u2500 WASD Keyboard Navigation \u2500\u2500\n const navKeys = new Set(['w', 'a', 's', 'd']);\n const activeNavKeys = new Set();\n\n document.addEventListener('keydown', (e) => {\n if (!plots.length || !currentTrack) return;\n if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return;\n\n const key = e.key.toLowerCase();\n if (!navKeys.has(key)) return;\n\n e.preventDefault();\n activeNavKeys.add(key);\n\n const u = plots[0].uplot;\n if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!];\n\n let [min, max] = targetXRange;\n const span = max - min;\n const moveStep = span * 0.1;\n const zoomFactor = 0.15;\n\n let newMin = min,\n newMax = max;\n\n if (key === 'a') {\n // Pan left\n newMin = min - moveStep;\n newMax = max - moveStep;\n } else if (key === 'd') {\n // Pan right\n newMin = min + moveStep;\n newMax = max + moveStep;\n } else if (key === 'w' || key === 's') {\n // Zoom\n const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2;\n const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2;\n newMin = center - (center - min) * factor;\n newMax = center + (max - center) * factor;\n }\n\n // Clamp to track bounds\n const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!];\n if (newMin < xFull[0]) {\n const d = xFull[0] - newMin;\n newMin += d;\n newMax += d;\n }\n if (newMax > xFull[1]) {\n const d = newMax - xFull[1];\n newMin -= d;\n newMax -= d;\n }\n newMin = Math.max(xFull[0], newMin);\n newMax = Math.min(xFull[1], newMax);\n\n if (newMax - newMin > 0.001) {\n targetXRange = [newMin, newMax];\n setVisibleRange(newMin, newMax, true); // true = animate\n }\n });\n\n document.addEventListener('keyup', (e) => {\n const key = e.key.toLowerCase();\n if (navKeys.has(key)) activeNavKeys.delete(key);\n });\n }\n\n function setVisibleRange(min: number, max: number, animate = false) {\n if (!plots.length) return;\n if (!animate) {\n plots.forEach(({ uplot: u }) => u.setScale('x', { min, max }));\n return;\n }\n\n const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number;\n const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number;\n\n if (animId) cancelAnimationFrame(animId);\n\n const lerp = (a: number, b: number, t: number) => a + (b - a) * t;\n const factor = 0.25; // Smoothing factor\n\n const step = () => {\n if (!targetXRange) return;\n const [tMin, tMax] = targetXRange;\n\n const cMin = lerp(currentXRange![0], tMin, factor);\n const cMax = lerp(currentXRange![1], tMax, factor);\n\n plots.forEach(({ uplot: u }) => {\n u.setScale('x', { min: cMin, max: cMax });\n });\n\n if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001)\n animId = requestAnimationFrame(step);\n else animId = null;\n };\n animId = requestAnimationFrame(step);\n }\n\n // \u2500\u2500 Public API \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n allTracks = others;\n\n // Detect which metrics are available in this file\n availableMetrics = new Set(\n Object.entries(METRICS)\n .filter(([, def]) => track.points.some((p) => p[def.field] != null))\n .map(([key]) => key),\n );\n\n // If no metrics are active (e.g. first load), default to core overview metrics\n if (activeMetrics.size === 0) {\n activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m)));\n }\n\n // Sync the pill buttons in the toolbar\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n const metric = pill.dataset.metric!;\n const isAvailable = availableMetrics.has(metric);\n pill.classList.toggle('active', isAvailable && activeMetrics.has(metric));\n pill.classList.toggle('disabled', !isAvailable);\n });\n\n currentTrack = track;\n if (deferRender) {\n updateStats(track);\n } else {\n render();\n }\n }\n\n function clear() {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n currentTrack = null;\n destroyPlots();\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
Select a track to view analysis
\n `;\n }\n const chartStats = document.getElementById('chart-stats');\n if (chartStats) chartStats.classList.add('hidden');\n clearSelectionStats();\n mapColorMetric = null;\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n }\n\n function resetState() {\n if (animId !== null) {\n cancelAnimationFrame(animId);\n animId = null;\n }\n activeMetrics = new Set(['elevation']);\n availableMetrics = new Set();\n smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']);\n metricsIncludingZero = new Set(['power']);\n xAxis = 'time';\n allTracks = [];\n currentXRange = null;\n targetXRange = null;\n lastMouseXVal = null;\n lastHistMouseEvent = null;\n hoveredHistData = null;\n hoveredHistCanvas = null;\n statsVisible = true;\n clear();\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n pill.classList.remove('disabled', 'overflow-hidden');\n });\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.add('hidden');\n const toolbar = document.getElementById('chart-toolbar');\n if (toolbar) toolbar.classList.remove('collapsed');\n document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time');\n });\n }\n\n function toggleMetric(key: string) {\n if (activeMetrics.has(key)) activeMetrics.delete(key);\n else activeMetrics.add(key);\n if (currentTrack) render(true);\n }\n\n function setActiveMetrics(keys: string[]) {\n activeMetrics = new Set(keys);\n if (currentTrack) render(true);\n // Sync the pill buttons\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n });\n }\n\n function setXAxis(axis: string) {\n if (xAxis === axis || !currentTrack) {\n xAxis = axis;\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n\n // Helper to convert a value from OLD axis to NEW axis\n const convert = (val: number | null) => {\n if (val === null) return null;\n // We need to find the point index closest to 'val' on the OLD axis\n let idx = 0;\n if (xAxis === 'distance') {\n const dTarget = val * 1000;\n idx = pts.findIndex((p) => (p.dist || 0) >= dTarget);\n } else {\n const tTarget = t0 + val * 1000;\n idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n }\n if (idx === -1) idx = pts.length - 1;\n\n // Now get the value at this index on the NEW axis\n if (axis === 'distance') return (pts[idx].dist || 0) / 1000;\n else return ((pts[idx].time || t0) - t0) / 1000;\n };\n\n // Convert selection\n if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal);\n if (selEndVal !== null) selEndVal = convert(selEndVal);\n\n // Convert zoom range (from first plot)\n let newRange: [number, number] | null = null;\n if (plots.length) {\n const u = plots[0].uplot;\n const r0 = convert(u.scales.x!.min!);\n const r1 = convert(u.scales.x!.max!);\n if (r0 !== null && r1 !== null) newRange = [r0, r1];\n }\n\n xAxis = axis;\n render(true);\n\n // Apply converted zoom\n if (newRange) {\n scaleSyncing = true;\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] }));\n });\n scaleSyncing = false;\n }\n }\n\n function toggleStats() {\n statsVisible = !statsVisible;\n plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible));\n resize();\n }\n\n function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) {\n onMapColorChangeCb = cb;\n }\n\n function toggleMapColor(key: string | null) {\n if (mapColorMetric === key || key === null) {\n mapColorMetric = null;\n _updateMapColorBtns();\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n } else {\n mapColorMetric = key;\n _updateMapColorBtns();\n _fireMapColorCb();\n }\n // Re-render to show/hide colored fills on the graphs\n if (currentTrack) render(true);\n }\n\n function _updateMapColorBtns() {\n document.querySelectorAll('.map-color-btn').forEach((el) => {\n const b = el as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === mapColorMetric);\n });\n }\n\n function _fireMapColorCb() {\n if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return;\n const plot = plots.find((p) => p.metricKey === mapColorMetric);\n if (!plot) return;\n const colors = _computePointColors(mapColorMetric, plot.yData);\n onMapColorChangeCb({ pts: currentTrack.points, colors });\n }\n\n function _computePointColors(key: string, yData: (number | null)[]): string[] {\n const vals = yData.filter((v): v is number => v != null && isFinite(v));\n if (!vals.length) return yData.map(() => '#888896');\n const min = Math.min(...vals),\n max = Math.max(...vals);\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n return yData.map((v) => {\n if (v == null || !isFinite(v)) return '#888896';\n if (key === 'gradient') return gradientColor(v);\n if (key === 'speed') {\n if (speedMode === 'pace') {\n const speed = (paceUnit === 'km' ? 1000 : 100) / v;\n return speedColor(speed);\n }\n return speedColor(v);\n }\n const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min)));\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25);\n if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25);\n if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25);\n return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25);\n });\n }\n\n function resetZoom() {\n cancelSelection();\n }\n\n function cancelSelection() {\n selAnchorVal = null;\n selEndVal = null;\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n\n // Reset individual histogram pins\n plots.forEach((p) => {\n p.pinnedHistY = null;\n });\n\n updateSelOverlay();\n redrawHistograms();\n\n // Perform the actual zoom reset\n scaleSyncing = true;\n plots.forEach(({ uplot: u, xData }) => {\n u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! }));\n u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!);\n });\n scaleSyncing = false;\n\n if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis);\n }\n\n function setSelectionStats(stats: TrackStats) {\n if (!selStatsEl) return;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt(\n 'sel-distance',\n stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '\u2014',\n );\n fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '\u2014');\n fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '\u2014');\n fmt(\n 'sel-avg-speed',\n stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014',\n );\n fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '\u2014');\n fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '\u2014');\n fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n selStatsEl.classList.remove('hidden');\n if (resetSelBtn) resetSelBtn.classList.remove('hidden');\n }\n\n function clearSelectionStats() {\n if (selStatsEl) selStatsEl.classList.add('hidden');\n if (resetSelBtn) resetSelBtn.classList.add('hidden');\n [\n 'sel-distance',\n 'sel-duration',\n 'sel-elevation',\n 'sel-avg-speed',\n 'sel-avg-power',\n 'sel-avg-hr',\n 'sel-avg-temp',\n ].forEach((id) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = '--';\n });\n }\n\n // Called on boot to restore a saved selection without re-firing onRangeChangeCb\n // xMin/xMax are ALWAYS provided in Time (seconds from start)\n function restoreSelection(tMin: number, tMax: number, deferRender = false) {\n if (!currentTrack) return;\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000;\n\n // If values look like absolute timestamps in ms, convert to seconds from start\n if (tMin > 1e12) tMin = (tMin - t0) / 1000;\n if (tMax > 1e12) tMax = (tMax - t0) / 1000;\n\n // Crop to max limits of the track\n tMin = Math.max(0, Math.min(tMin, totalDuration));\n tMax = Math.max(0, Math.min(tMax, totalDuration));\n\n const convert = (tOffset: number) => {\n if (xAxis === 'time') return tOffset;\n const tTarget = t0 + tOffset * 1000;\n let idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n if (idx === -1) idx = pts.length - 1;\n return (pts[idx].dist || 0) / 1000;\n };\n\n const xMin = convert(tMin);\n const xMax = convert(tMax);\n\n selAnchorVal = xMin;\n selEndVal = xMax;\n currentXRange = [xMin, xMax];\n if (deferRender) return;\n scaleSyncing = true; // suppress the setScale \u2192 onRangeChangeCb loop\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: xMin, max: xMax }));\n });\n scaleSyncing = false;\n updateAnchorLines();\n redrawHistograms();\n }\n\n function resize() {\n if (!plots.length || !container) return;\n const w = Math.round(\n Math.max(\n 100,\n container.getBoundingClientRect().width -\n ROW_BODY_PADDING -\n (statsVisible ? HIST_W + HIST_GAP : 0),\n ),\n );\n let anyResized = false;\n plots.forEach(({ uplot: u, histCanvas, histData }) => {\n if (w !== u.width) {\n u.setSize({ width: w, height: u.height });\n anyResized = true;\n if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height);\n }\n });\n if (anyResized) updateSelOverlay();\n }\n\n // \u2500\u2500 Render \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function render(keepState = false) {\n let savedRange: [number, number] | null = null;\n let savedScroll = 0;\n if (keepState && container) savedScroll = container.scrollTop;\n\n if (keepState && currentXRange) {\n savedRange = [currentXRange[0], currentXRange[1]];\n } else if (keepState && plots.length) {\n const u = plots[0].uplot;\n savedRange = [u.scales.x!.min!, u.scales.x!.max!];\n }\n\n if (!currentTrack) {\n destroyPlots(keepState);\n return;\n }\n const pts = currentTrack.points;\n if (!pts.length) {\n destroyPlots(keepState);\n return;\n }\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n const available = [...activeMetrics].filter((m) =>\n pts.some((p) => p[METRICS[m].field] != null),\n );\n if (!available.length) {\n destroyPlots(keepState);\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
No data for selected metrics
\n `;\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n\n const containerW = container ? container.getBoundingClientRect().width : 800;\n const w = Math.round(\n Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)),\n );\n\n const canReuse =\n keepState &&\n renderedTrack === currentTrack &&\n renderedXAxis === xAxis &&\n renderedSpeedMode === speedMode &&\n renderedMapColorMetric === mapColorMetric &&\n plots.length > 0;\n\n let xData: (number | null)[];\n if (canReuse) {\n xData = plots[0].xData;\n } else if (xAxis === 'distance') {\n xData = pts.map((p) => (p.dist || 0) / 1000);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n let lastValidX = 0;\n xData = pts.map((p) => {\n if (p.time != null) {\n lastValidX = (p.time - t0) / 1000;\n return lastValidX;\n }\n return lastValidX; // monotonic fallback\n });\n }\n\n const existingByKey = new Map();\n if (canReuse) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const availSet = new Set(available);\n for (const p of plots) {\n const isSmoothed = smoothedMetrics.has(p.metricKey);\n const isIncZero = metricsIncludingZero.has(p.metricKey);\n if (\n availSet.has(p.metricKey) &&\n p.smoothed === isSmoothed &&\n p.incZero === isIncZero &&\n p.w === w\n ) {\n existingByKey.set(p.metricKey, p);\n } else {\n syncKey!.unsub(p.uplot);\n p.uplot.destroy();\n p.row.remove();\n }\n }\n plots = [];\n } else {\n destroyPlots(keepState);\n }\n\n if (container) {\n const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null);\n let nextExisting: HTMLElement | null = null;\n for (let i = available.length - 1; i >= 0; i--) {\n nextSiblingRows[i] = nextExisting;\n const ex = existingByKey.get(available[i]);\n if (ex) nextExisting = ex.row;\n }\n\n available.forEach((key, idx) => {\n const reused = existingByKey.get(key);\n if (reused) {\n plots.push(reused);\n const uplot = reused.uplot;\n const s = (uplot as any)._strasse;\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n uplot.batch(() => {\n if (\n savedRange &&\n (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1])\n ) {\n uplot.setScale('x', { min: savedRange[0], max: savedRange[1] });\n } else {\n s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot);\n uplot.redraw(false);\n }\n });\n scaleSyncing = prevSync;\n\n let initHoverBinI: number | null = null;\n if (\n pinnedPtIdx != null &&\n reused.xData[pinnedPtIdx] != null &&\n reused.yData[pinnedPtIdx] != null\n ) {\n buildHistBins(reused.histData);\n if (reused.histData.min != null && reused.histData.max != null) {\n const span = reused.histData.max - reused.histData.min || 1;\n initHoverBinI = Math.min(\n reused.histData.BINS - 1,\n Math.floor(\n ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) *\n reused.histData.BINS,\n ),\n );\n reused.hoveredHistY = reused.yData[pinnedPtIdx];\n }\n }\n drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI);\n return;\n }\n\n let def = METRICS[key];\n\n let transform = def.transform;\n let fmt = def.fmt;\n let fmtAxis = def.fmtAxis;\n let unit = def.unit;\n let label = def.label;\n\n if (key === 'speed' && speedMode === 'pace') {\n label = 'Pace';\n unit = `min/${paceUnit}`;\n fmt = (v) => fmtPace(v);\n fmtAxis = (v) => fmtPace(v);\n transform = (v) => {\n if (v == null || v < 0.1) return null;\n return (paceUnit === 'km' ? 1000 : 100) / v;\n };\n\n def = { ...def, label, unit, fmt, fmtAxis, transform };\n }\n\n let yData = def.compute\n ? def.compute(pts, fillNulls)\n : fillNulls(\n pts.map((p) => {\n const v = p[def.field] as number;\n return v != null && transform ? transform(v) : v;\n }),\n );\n\n if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2);\n\n createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]);\n });\n }\n\n renderedTrack = currentTrack;\n renderedXAxis = xAxis;\n renderedSpeedMode = speedMode;\n renderedMapColorMetric = mapColorMetric;\n\n updateStats(currentTrack);\n // Restore anchor/end lines if a selection was active\n if (selAnchorVal != null && selEndVal != null) updateAnchorLines();\n // Re-apply map color if active\n _updateMapColorBtns();\n if (mapColorMetric) _fireMapColorCb();\n\n if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll;\n }\n\n // \u2500\u2500 Create one chart row \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function createChart(\n metricKey: string,\n def: MetricDefinition,\n xData: (number | null)[],\n yData: (number | null)[],\n w: number,\n pts: TrackPoint[],\n initialRange: [number, number] | null = null,\n insertBeforeEl: HTMLElement | null = null,\n ) {\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n\n // Gradient data: smooth over a 20 m distance window (\u00B110 m each side)\n const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null;\n const row = document.createElement('div');\n row.className = 'chart-row';\n row.dataset.metric = metricKey;\n row.style.setProperty('--chart-color', def.color);\n\n // Header\n const header = document.createElement('div');\n header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`;\n\n const labelEl = document.createElement('div');\n labelEl.className = 'chart-row-label-group';\n labelEl.innerHTML = `\n ${def.icon}\n ${def.label}\n `;\n\n // Smoothing toggle\n const smoothBtn = document.createElement('button');\n smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`;\n smoothBtn.title = 'Toggle data smoothing';\n smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`;\n smoothBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey);\n else smoothedMetrics.add(metricKey);\n\n render(true); // Re-render all charts to keep sync if needed (though only this one changes data)\n });\n\n const mapColorBtn = document.createElement('button');\n\n mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`;\n mapColorBtn.dataset.metric = metricKey;\n mapColorBtn.title = 'Color map track by this metric';\n mapColorBtn.innerHTML = 'colorize';\n mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey));\n\n // Zero-filter toggle (Cadence/Power/Speed)\n let zeroBtn: HTMLButtonElement | null = null;\n if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') {\n zeroBtn = document.createElement('button');\n const incZero = metricsIncludingZero.has(metricKey);\n zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`;\n zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values';\n zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`;\n zeroBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey);\n else metricsIncludingZero.add(metricKey);\n render(true);\n });\n }\n\n const statsTotalEl = document.createElement('div');\n statsTotalEl.className = 'chart-stats-total';\n\n const statsSelEl = document.createElement('div');\n statsSelEl.className = 'chart-stats-selection';\n\n const statsContainer = document.createElement('div');\n statsContainer.className = 'chart-row-stats-container';\n statsContainer.append(statsTotalEl, statsSelEl);\n\n const actionsEl = document.createElement('div');\n actionsEl.className = 'chart-row-actions';\n actionsEl.append(smoothBtn, mapColorBtn);\n\n const rightActionsEl = document.createElement('div');\n rightActionsEl.className = 'chart-row-right-actions';\n\n if (metricKey === 'speed') {\n const paceToggle = document.createElement('div');\n paceToggle.className = 'seg-ctrl';\n paceToggle.innerHTML = `\n \n \n `;\n paceToggle.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const mode = btn.dataset.mode;\n if (mode === 'speed' || mode === 'pace') {\n const isDefault = mode === defaultMode;\n UrlState.patch({ speed_mode: isDefault ? null : mode });\n render(true);\n }\n });\n rightActionsEl.append(paceToggle);\n }\n\n if (zeroBtn) rightActionsEl.append(zeroBtn);\n\n header.append(labelEl, actionsEl, statsContainer, rightActionsEl);\n\n const rowBody = document.createElement('div');\n rowBody.className = 'chart-row-body';\n\n const plotEl = document.createElement('div');\n plotEl.style.position = 'relative';\n rowBody.appendChild(plotEl);\n\n const fixedMinLabel = document.createElement('div');\n fixedMinLabel.className = 'fixed-x-label fixed-x-min';\n const fixedMaxLabel = document.createElement('div');\n fixedMaxLabel.className = 'fixed-x-label fixed-x-max';\n plotEl.append(fixedMinLabel, fixedMaxLabel);\n\n const histCol = document.createElement('div');\n histCol.className = `hist-col${statsVisible ? ' visible' : ''}`;\n const histCanvas = document.createElement('canvas');\n histCanvas.className = 'hist-canvas';\n histCol.appendChild(histCanvas);\n rowBody.appendChild(histCol);\n\n row.append(header, rowBody);\n\n const isDistAxis = xAxis === 'distance';\n\n function formatX(v: number, range: number): string {\n if (v == null) return '';\n if (isDistAxis) {\n const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0;\n return `${v.toFixed(dec)} km`;\n } else {\n const absV = Math.abs(v);\n const h = Math.floor(absV / 3600);\n const m = Math.floor((absV % 3600) / 60);\n const s = Math.round(absV % 60);\n const hh = h > 0 ? `${h}:` : '';\n const mm = h > 0 ? String(m).padStart(2, '0') : String(m);\n const ss = String(s).padStart(2, '0');\n return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`;\n }\n }\n\n const incZeroDefault =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Compute global Y range and full-track stats in a single pass\n let gMin = Infinity,\n gMax = -Infinity,\n allSum = 0,\n allCount = 0,\n filtMin = Infinity,\n filtMax = -Infinity,\n filtSum = 0,\n filtCount = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < gMin) gMin = v;\n if (v > gMax) gMax = v;\n allSum += v;\n allCount++;\n if (v !== 0 || incZeroDefault) {\n if (v < filtMin) filtMin = v;\n if (v > filtMax) filtMax = v;\n filtSum += v;\n filtCount++;\n }\n }\n if (allCount === 0) {\n gMin = 0;\n gMax = 100;\n }\n const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null;\n const fullStatsFiltered = filtCount\n ? { min: filtMin, max: filtMax, avg: filtSum / filtCount }\n : null;\n const gPad = Math.abs(gMax - gMin) * 0.1 || 1;\n const fixedYRange = [gMin - gPad, gMax + gPad];\n\n let statsTotalInitialized = false;\n\n // Per-range stats\n function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) {\n const incZero =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Update fixed X labels\n const range = visibleMax - visibleMin;\n fixedMinLabel.textContent = formatX(visibleMin, range);\n fixedMaxLabel.textContent = formatX(visibleMax, range);\n\n const getHtml = (xMin: number, xMax: number, isFull = false) => {\n const s =\n isFull && incZero === incZeroDefault\n ? fullStatsFiltered\n : rangeStats(xData, yData, xMin, xMax, incZero);\n if (!s) return '';\n\n let h = `\n align_flex_end${def.fmt(s.min, true)} ${def.unit}\n align_center${def.fmt(s.avg, true)} ${def.unit}\n align_flex_start${def.fmt(s.max, true)} ${def.unit}\n `;\n\n if (metricKey === 'elevation') {\n const es = elevationRangeStats(pts, xMin, xMax);\n h += `\n trending_up+${Math.round(es.gain)} m\n trending_down-${Math.round(es.loss)} m\n `;\n }\n return h;\n };\n\n if (!statsTotalInitialized) {\n statsTotalInitialized = true;\n statsTotalEl.innerHTML = `all_inclusive${getHtml(\n xData[0]!,\n xData[xData.length - 1]!,\n true,\n )}`;\n statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => {\n e.stopPropagation();\n cancelSelection();\n });\n }\n\n if (selAnchorVal !== null && selEndVal !== null) {\n statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false);\n statsSelEl.style.display = 'flex';\n statsSelEl.style.setProperty('--sel-color', def.color);\n } else {\n statsSelEl.style.display = 'none';\n }\n }\n let initializingScale = false;\n const uOpts: uPlot.Options = {\n width: w,\n height: 130,\n padding: [4, 0, 0, 0],\n cursor: {\n sync: {\n key: syncKey!.key,\n },\n drag: { x: true, y: false, uni: 16 },\n focus: { prox: 16 },\n points: {\n size: 7,\n stroke: '#0e0e10',\n width: 2,\n fill: (metricKey === 'elevation'\n ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null)\n : def.color) as any,\n },\n x: false,\n y: false,\n },\n select: {\n show: true,\n left: 0,\n top: 0,\n width: 0,\n height: 0,\n },\n legend: { show: false },\n scales: {\n x: {\n time: false,\n range: (_u: uPlot, mn: number, mx: number) => [mn, mx],\n min: initialRange ? initialRange[0] : undefined,\n max: initialRange ? initialRange[1] : undefined,\n },\n y: {\n range: () => fixedYRange as [number, number],\n dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1,\n },\n },\n axes: [\n {\n side: 2, // bottom\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: {\n show: true,\n stroke: '#2e2e34',\n },\n size: 30,\n space: 80,\n font: '10px system-ui, sans-serif',\n splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => {\n const range = scaleMax - scaleMin;\n const width = u.bbox.width > 0 ? u.bbox.width : u.width;\n const targetLabels = width / 80;\n const idealIncr = range / targetLabels;\n\n let incrs;\n if (!isDistAxis) {\n // Time in seconds\n incrs = [\n 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200,\n 86400, 604800, 2592000, 31536000,\n ];\n } else {\n incrs = [\n 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,\n 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000,\n ];\n }\n\n let incr = incrs[incrs.length - 1];\n for (let i = 0; i < incrs.length; i++) {\n if (incrs[i] >= idealIncr) {\n incr = incrs[i];\n break;\n }\n }\n\n const splits = [];\n let val = Math.ceil(scaleMin / incr) * incr;\n const precision = incr < 1 ? 2 : 0;\n\n while (val <= scaleMax) {\n const pos = u.valToPos(val, 'x', true);\n if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80)\n splits.push(Number(val.toFixed(precision)));\n\n val += incr;\n }\n return splits;\n },\n values: ((_u: uPlot, vals: number[]) => {\n const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0);\n\n return vals.map((v) => {\n if (v == null) return '';\n const pos = _u.valToPos(v, 'x', true);\n // Strict 80px margin to prevent overlapping with fixed labels or Y axis\n if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null;\n return formatX(v, range);\n });\n }) as any,\n },\n {\n side: 3, // left\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: { stroke: '#2e2e34' },\n size: 55,\n font: '10px system-ui, sans-serif',\n values: ((_u: uPlot, vals: number[]) =>\n vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any,\n },\n ],\n series: [\n {},\n // Main selected track series\n {\n label: def.label,\n stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering\n width: 0,\n points: { show: false },\n paths: () => null,\n },\n ],\n hooks: {\n draw: [\n (u: uPlot) => {\n const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area!\n fixedMinLabel.style.top = `${top}px`;\n fixedMinLabel.style.left = `${u.bbox.left}px`;\n\n fixedMaxLabel.style.top = `${top}px`;\n fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`;\n fixedMaxLabel.style.transform = 'translateX(-100%)';\n },\n // 1. (bottom) Color / metric color of the selected track\n (u: uPlot) => {\n if (metricKey === 'gears') {\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n } else if (metricKey === 'elevation') {\n drawElevationGradient(u, xData as number[], yData as number[], gradData);\n } else if (metricKey === 'gradient') {\n drawGradientChart(u, xData as number[], yData as number[]);\n } else if (mapColorMetric === metricKey) {\n drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey);\n } else {\n // Normal colored line\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n }\n },\n\n // 2. Pinned point (middle)\n (u: uPlot) => {\n const plot = plots.find((p) => p.uplot === u);\n if (!plot) return;\n\n const s = (u as any)._strasse;\n // Priority 1: Global pinned point (all charts)\n if (pinnedPtIdx != null) {\n drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey);\n } else {\n if (s && s.pinYVal) s.pinYVal.style.display = 'none';\n\n // Priority 2: Individual histogram pinned Y-pos (this chart only)\n if (plot.pinnedHistY != null)\n drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def);\n }\n },\n\n // 3. Pinned & Hover elements (labels, vertical lines)\n (u: uPlot) => {\n const hIdx = u.cursor.idx;\n const hasPinned = pinnedPtIdx != null;\n\n let hasHover = hIdx != null && u.cursor.left! >= 0;\n if (hasHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[hIdx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) hasHover = false;\n }\n\n // B. Draw Hover vertical line\n if (hasHover && hIdx !== pinnedPtIdx)\n drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0);\n\n // C. Bold selection x-axis line & span pill\n if (selAnchorVal != null && selEndVal != null) {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ax = u.valToPos(selAnchorVal, 'x', true);\n const ex = u.valToPos(selEndVal, 'x', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.lineWidth = 3 * dpr;\n ctx.strokeStyle = def.color;\n ctx.moveTo(ax, bb.top + bb.height);\n ctx.lineTo(ex, bb.top + bb.height);\n ctx.stroke();\n\n const span = Math.abs(selEndVal - selAnchorVal);\n const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span);\n const fontSize = 9 * dpr;\n const fontStr = `bold ${fontSize}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n\n const visibleL = Math.max(bb.left, ax);\n const visibleR = Math.min(bb.left + bb.width, ex);\n const visibleW = visibleR - visibleL;\n\n if (visibleW > tw + 14 * dpr) {\n const padH = 5 * dpr;\n const padV = 2 * dpr;\n const bw = tw + padH * 2;\n const bh = fontSize + padV * 2;\n const bx = (visibleL + visibleR) / 2 - bw / 2;\n const by = bb.top + bb.height - bh / 2;\n\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = def.color;\n ctx.fill();\n\n ctx.fillStyle = '#000';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2);\n }\n ctx.restore();\n }\n\n // D. Draw label pills (on top)\n // Pinned labels first (semi-transparent)\n if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7);\n\n // Hover labels last (fully opaque, topmost)\n if (hasHover && hIdx !== pinnedPtIdx)\n drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0);\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (scaleSyncing) return;\n const idx = u.cursor.idx;\n\n // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live\n // Note: uPlot handles cross-chart sync when syncKey is used.\n u.redraw(false);\n\n // Track current x-value for keyboard navigation\n if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x');\n else lastMouseXVal = null;\n\n // \u2500\u2500 Floating y-value next to cursor dot \u2500\u2500\n const s = (u as any)._strasse;\n let showHover = idx != null && yData[idx] != null;\n\n // Distance threshold: if no pinned point, check proximity to data line\n if (showHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[idx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) showHover = false;\n }\n\n if (s) {\n if (showHover)\n updateTooltip(\n u,\n s.curYVal,\n idx!,\n xData as number[],\n yData as number[],\n pts,\n def,\n metricKey,\n );\n else s.curYVal.style.display = 'none';\n }\n\n // Map marker\n if (!cursorSyncing) {\n if (idx != null && pts[idx]) {\n if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) {\n onCursorMoveCb(pts[idx]);\n } else if (onCursorMoveCb && !showHover) {\n // If we're too far and nothing is pinned, hide map cursor\n onCursorMoveCb(null);\n }\n } else if (idx === null && onCursorMoveCb) {\n onCursorMoveCb(null);\n }\n }\n\n // Highlight matching histogram bucket\n if (idx != null && yData[idx] != null) {\n const { min, max } = histData;\n if (min != null && max != null) {\n const span = max - min || 1;\n const binI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[idx]! - min) / span) * histData.BINS),\n );\n if (plot.hoveredHistY !== yData[idx]) {\n plot.hoveredHistY = yData[idx];\n drawHistogram(histCanvas, histData, 130, binI);\n }\n }\n } else if (plot.hoveredHistY !== null) {\n plot.hoveredHistY = null;\n drawHistogram(histCanvas, histData, 130);\n }\n },\n ],\n\n setScale: [\n (u: uPlot, key: string) => {\n if (key !== 'x' || initializingScale) return;\n const { min, max } = u.scales.x!;\n\n // Sync currentXRange so keyboard navigation baseline is always accurate\n currentXRange = [min!, max!];\n\n // Update header stats for VISIBLE range\n updateHeaderStats(min as number, max as number, u);\n\n if (scaleSyncing) return;\n\n // Clear keyboard target when user interacts via mouse\n if (!updatingRange) targetXRange = null;\n\n // Sync sibling plots\n scaleSyncing = true;\n plots.forEach(({ uplot: other }) => {\n if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! }));\n });\n scaleSyncing = false;\n\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb && selAnchorVal !== null)\n onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n },\n ],\n\n setSelect: [\n (u: uPlot) => {\n if (updatingRange) return;\n targetXRange = null;\n const { left, width } = u.select;\n if (width > 0) {\n const min = u.posToVal(left, 'x');\n const max = u.posToVal(left + width, 'x');\n selAnchorVal = min;\n selEndVal = max;\n\n // Sync stats to new selection\n updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u);\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n\n // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction\n u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false);\n }\n },\n ],\n },\n };\n\n // \u2500\u2500 Overlay (pointer-events off except handles) \u2500\u2500\n const overlay = document.createElement('div');\n overlay.style.cssText =\n 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5';\n\n // Selection fill\n const selFill = document.createElement('div');\n selFill.className = 'sel-fill';\n selFill.style.display = 'none';\n\n // Anchor line + label + drag handle\n const anchorLine = document.createElement('div');\n anchorLine.className = 'sel-line sel-line-anchor';\n anchorLine.style.display = 'none';\n\n const anchorLabel = document.createElement('div');\n anchorLabel.className = 'sel-line-label sel-line-label-anchor';\n anchorLabel.style.display = 'none';\n\n const anchorHandle = document.createElement('div');\n anchorHandle.className = 'sel-handle sel-handle-anchor';\n anchorHandle.style.display = 'none';\n\n const anchorMarker = document.createElement('div');\n anchorMarker.className = 'sel-graph-marker';\n anchorMarker.innerHTML =\n 'play_circle';\n anchorMarker.style.display = 'none';\n\n // End line + label + drag handle\n const endLine = document.createElement('div');\n endLine.className = 'sel-line sel-line-end';\n endLine.style.display = 'none';\n\n const endLabel = document.createElement('div');\n endLabel.className = 'sel-line-label sel-line-label-end';\n endLabel.style.display = 'none';\n\n const endHandle = document.createElement('div');\n endHandle.className = 'sel-handle sel-handle-end';\n endHandle.style.display = 'none';\n\n const endMarker = document.createElement('div');\n endMarker.className = 'sel-graph-marker';\n endMarker.innerHTML =\n 'stop_circle';\n endMarker.style.display = 'none';\n\n // Floating cursor y-value\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${def.color};display:none`;\n\n // Floating pinned y-value\n const pinYVal = document.createElement('div');\n pinYVal.className = 'cur-y-val pin';\n pinYVal.style.cssText = `color:${def.color};display:none`;\n\n overlay.append(\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n );\n\n const histData: HistData = {\n yData,\n xData: xData as number[],\n def,\n BINS: 24,\n min: allCount ? gMin : undefined,\n max: allCount ? gMax : undefined,\n fullStats: fullStatsFiltered,\n fullStatsAll,\n };\n const plot: PlotData = {\n uplot: null as any,\n row,\n xData: xData as number[],\n yData,\n def,\n metricKey,\n statsTotalEl,\n statsSelEl,\n histCol,\n histCanvas,\n histData,\n hoveredHistY: null,\n pinnedHistY: null,\n smoothed: smoothedMetrics.has(metricKey),\n incZero: metricsIncludingZero.has(metricKey),\n w,\n };\n histData.plot = plot; // Back-reference for tooltip to trigger redraws\n\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => {\n plot.uplot = self as WegPlot;\n plots.push(plot);\n plotEl.appendChild(self.root);\n self.over.appendChild(overlay);\n (self as any)._strasse = {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n updateHeaderStats,\n };\n self.batch(() => {\n init();\n });\n }) as WegPlot;\n scaleSyncing = prevSync;\n\n // \u2500\u2500 Handle drag \u2500\u2500\n attachHandleDrag(anchorHandle, uplot, xData, true);\n attachHandleDrag(endHandle, uplot, xData, false);\n\n // \u2500\u2500 Mouse listeners \u2500\u2500\n let mousedownX: number | null = null;\n uplot.over.addEventListener('mousedown', (e) => {\n if (e.button !== 0) return;\n isDragging = false;\n const rect = uplot.over.getBoundingClientRect();\n const xPx = e.clientX - rect.left;\n mousedownX = xPx;\n });\n uplot.over.addEventListener('mousemove', (e) => {\n if (mousedownX !== null) {\n const rect = uplot.over.getBoundingClientRect();\n if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true;\n }\n });\n uplot.over.addEventListener('mouseup', () => {\n mousedownX = null;\n });\n\n // Click to pin point (sticky selection)\n uplot.over.addEventListener('click', () => {\n if (isDragging) return;\n const idx = uplot.cursor.idx;\n if (idx != null && pts[idx]) {\n pinnedPtIdx = idx;\n plots.forEach(({ uplot: u }) => u.redraw(false));\n if (onClickCb) onClickCb(pts[idx], idx);\n if (onPinChangeCb) onPinChangeCb(idx);\n }\n });\n\n row.addEventListener('dblclick', cancelSelection);\n\n let initHoverBinI: number | null = null;\n if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) {\n buildHistBins(histData);\n if (histData.min != null && histData.max != null) {\n const span = histData.max - histData.min || 1;\n initHoverBinI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS),\n );\n plot.hoveredHistY = yData[pinnedPtIdx];\n }\n }\n\n drawHistogram(histCanvas, histData, 130, initHoverBinI);\n attachHistTooltip(histCanvas, histData);\n if (container) {\n if (insertBeforeEl) container.insertBefore(row, insertBeforeEl);\n else container.appendChild(row);\n }\n }\n\n // \u2500\u2500 Selection overlay (fill + lines + handles) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateSelOverlay() {\n updateAnchorLines();\n // Redraw canvas markers (bold selection line + span pill)\n plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false)));\n }\n\n function updateAnchorLines() {\n plots.forEach(({ uplot: u, def }) => {\n const s = (u as any)._strasse;\n if (!s) return;\n const {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n } = s;\n if (selAnchorVal == null || selEndVal == null) {\n [\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n ].forEach((el: HTMLElement) => {\n el.style.display = 'none';\n });\n return;\n }\n const aX = u.valToPos(selAnchorVal, 'x');\n const eX = u.valToPos(selEndVal, 'x');\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const overW = bb.width / dpr;\n const overH = bb.height / dpr;\n const plotBottom = (bb.top + bb.height) / dpr;\n\n const isAnchorVisible = aX >= 0 && aX <= overW;\n const isEndVisible = eX >= 0 && eX <= overW;\n\n // Fill: clamp left/right to visible area\n const fillL = Math.max(0, aX);\n const fillR = Math.min(overW, eX);\n if (fillR > fillL) {\n selFill.style.left = `${fillL}px`;\n selFill.style.width = `${fillR - fillL}px`;\n selFill.style.top = '0';\n selFill.style.height = `${overH}px`;\n selFill.style.backgroundColor = hexToRgba(def.color, 0.07);\n selFill.style.display = '';\n } else {\n selFill.style.display = 'none';\n }\n\n // Anchor line\n if (isAnchorVisible) {\n anchorLine.style.left = `${aX}px`;\n anchorLine.style.height = `${overH}px`;\n anchorLine.style.borderLeftColor = def.color;\n anchorLine.style.display = '';\n // Anchor label\n const aText = fmtXVal(selAnchorVal);\n anchorLabel.textContent = aText;\n const aLabelW = aText.length * 7 + 10;\n anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`;\n anchorLabel.style.display = '';\n // Anchor handle\n anchorHandle.style.left = `${aX}px`;\n anchorHandle.style.backgroundColor = def.color;\n anchorHandle.style.display = '';\n // Anchor marker: centered on the bold line\n anchorMarker.style.left = `${aX}px`;\n anchorMarker.style.top = `${plotBottom}px`;\n const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (aIcon) aIcon.style.color = def.color;\n anchorMarker.style.display = '';\n } else {\n [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n\n // End line\n if (isEndVisible) {\n endLine.style.left = `${eX}px`;\n endLine.style.height = `${overH}px`;\n endLine.style.borderLeftColor = def.color;\n endLine.style.display = '';\n // End label\n const eText = fmtXVal(selEndVal);\n endLabel.textContent = eText;\n const eLabelW = eText.length * 7 + 10;\n endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`;\n endLabel.style.display = '';\n // End handle\n endHandle.style.left = `${eX}px`;\n endHandle.style.backgroundColor = def.color;\n endHandle.style.display = '';\n // End marker: centered on the bold line\n endMarker.style.left = `${eX}px`;\n endMarker.style.top = `${plotBottom}px`;\n const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (eIcon) eIcon.style.color = def.color;\n endMarker.style.display = '';\n } else {\n [endLine, endLabel, endHandle, endMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n });\n }\n\n function fmtXVal(v: number) {\n return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v);\n }\n\n // \u2500\u2500 Handle drag logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function attachHandleDrag(\n handleEl: HTMLElement,\n uplot: uPlot,\n xData: (number | null)[],\n isAnchor: boolean,\n ) {\n // pointer-events enabled on the handle itself\n handleEl.style.pointerEvents = 'auto';\n\n handleEl.addEventListener('mousedown', (e) => {\n e.stopPropagation();\n e.preventDefault();\n const startX = e.clientX;\n const startVal = isAnchor ? selAnchorVal : selEndVal;\n const overW = uplot.over.offsetWidth;\n // px-per-data-unit at current zoom\n const xMin = uplot.scales.x!.min!,\n xMax = uplot.scales.x!.max!;\n const pxPerUnit = overW / (xMax - xMin);\n const xFull = [xData[0]!, xData[xData.length - 1]!];\n\n document.body.style.cursor = 'ew-resize';\n isDragging = true;\n\n function onMove(me: MouseEvent) {\n const dx = me.clientX - startX;\n let newVal = (startVal || 0) + dx / pxPerUnit;\n newVal = Math.max(xFull[0], Math.min(xFull[1], newVal));\n\n if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001);\n else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001);\n\n // When dragging handles, we typically want to stay zoomed to the selection?\n // Actually, let's keep the zoom as is, and just update the selection overlay and stats.\n plots.forEach((p) =>\n (p.uplot as any)._strasse?.updateHeaderStats(\n p.uplot.scales.x!.min!,\n p.uplot.scales.x!.max!,\n ),\n );\n updateSelOverlay();\n redrawHistograms();\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n }\n\n function onUp() {\n document.body.style.cursor = '';\n isDragging = false;\n document.removeEventListener('mousemove', onMove);\n document.removeEventListener('mouseup', onUp);\n }\n\n document.addEventListener('mousemove', onMove);\n document.addEventListener('mouseup', onUp);\n });\n }\n\n // \u2500\u2500 Histogram logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function buildHistBins(histData: HistData) {\n const { yData, xData, BINS } = histData;\n\n // Cache to avoid re-binning every frame during hover\n if (histData._lastYData === yData && histData.bins) return;\n histData._lastYData = yData;\n\n let min = histData.min;\n let max = histData.max;\n if (min == null || max == null) {\n let lo = Infinity,\n hi = -Infinity,\n cnt = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < lo) lo = v;\n if (v > hi) hi = v;\n cnt++;\n }\n if (!cnt) return;\n min = lo;\n max = hi;\n histData.min = min;\n histData.max = max;\n }\n\n const bins = new Array(BINS).fill(0);\n const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km)\n\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n bins[bi]++;\n\n // weight by x-delta\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n binAccum[bi] += (next - prev) / 2;\n }\n histData.bins = bins;\n histData.binAccum = binAccum;\n }\n\n function redrawHistograms() {\n plots.forEach(({ histCanvas, histData, uplot: u }) => {\n drawHistogram(histCanvas, histData, u.height);\n });\n }\n\n function drawHistogram(\n canvas: HTMLCanvasElement,\n histData: HistData,\n chartH: number,\n hoverBinI: number | null = null,\n ) {\n const { def, BINS } = histData;\n buildHistBins(histData);\n const { bins, min, max } = histData;\n if (!bins || min == null || max == null) return;\n\n const hasSel = selAnchorVal != null && selEndVal != null;\n\n // Compute selection bins if a range is active and changed\n if (\n hasSel &&\n (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal)\n ) {\n histData._lastSelRange = [selAnchorVal!, selEndVal!];\n const selBins = new Array(BINS).fill(0);\n const selBinAccum = new Array(BINS).fill(0);\n const { yData, xData } = histData;\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const x = xData[i];\n if (x == null || x < selAnchorVal! || x > selEndVal!) continue;\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n selBins[bi]++;\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n selBinAccum[bi] += (next - prev) / 2;\n }\n histData.selBins = selBins;\n histData.selBinAccum = selBinAccum;\n } else if (!hasSel) {\n histData.selBins = null;\n histData.selBinAccum = null;\n histData._lastSelRange = null;\n }\n const selBins = histData.selBins;\n\n const dpr = window.devicePixelRatio || 1;\n const W = HIST_W;\n const H = chartH;\n\n // Performance: only set dimensions if they changed (resets canvas)\n if (canvas.width !== W * dpr || canvas.height !== H * dpr) {\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n canvas.style.width = `${W}px`;\n canvas.style.height = `${H}px`;\n }\n\n const ctx = canvas.getContext('2d')!;\n ctx.resetTransform();\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const peak = Math.max(...bins);\n\n // Measure label width so bars start right after them\n const fmt = (v: number) => def.fmtAxis(v);\n const fontStr = '9px system-ui, sans-serif';\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const labelW = Math.ceil(\n Math.max(\n ctx.measureText(`${fmt(max)} ${def.unit}`).width,\n ctx.measureText(`${fmt(min)} ${def.unit}`).width,\n ),\n );\n\n // Vertical alignment with main graph:\n // uPlot padding: [4, 0, 0, 0]\n // Axis size: 30\n const pad = { t: 4, r: 0, b: 30, l: labelW + 6 };\n histData.padL = pad.l;\n const plotW = W - pad.l - pad.r;\n const plotH = H - pad.t - pad.b;\n\n // bin 0 = lowest values \u2192 drawn at bottom; bin BINS-1 = highest \u2192 drawn at top\n const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS);\n const binH = plotH / BINS - 1;\n\n // Full distribution (dimmed when selection active)\n const baseAlpha = hasSel ? 0.15 : 0.6;\n ctx.fillStyle = hexToRgba(def.color, baseAlpha);\n for (let i = 0; i < BINS; i++) {\n if (!bins[i]) continue;\n const bw = (bins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n\n // Selection overlay (bright)\n if (selBins) {\n ctx.fillStyle = hexToRgba(def.color, 0.85);\n for (let i = 0; i < BINS; i++) {\n if (!selBins[i]) continue;\n const bw = (selBins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n ctx.fillStyle = def.color;\n ctx.fillRect(pad.l, pad.t, 2, plotH);\n }\n\n // CDF overlay \u2014 smooth curve from bottom (0%) to top (100%)\n const total = bins.reduce((s, v) => s + v, 0);\n if (total > 0) {\n // Build CDF points: one per bin boundary, bottom\u2192top\n const pts2 = [{ x: pad.l, y: pad.t + plotH }];\n let cumSum = 0;\n for (let i = 0; i < BINS; i++) {\n cumSum += bins[i];\n pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) });\n }\n\n ctx.beginPath();\n // CDF line is now solid\n ctx.setLineDash([]);\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 0.75 * dpr;\n ctx.lineJoin = 'round';\n ctx.moveTo(pts2[0].x, pts2[0].y);\n for (let i = 1; i < pts2.length - 1; i++) {\n const mx = (pts2[i].x + pts2[i + 1].x) / 2;\n const my = (pts2[i].y + pts2[i + 1].y) / 2;\n ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my);\n }\n ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y);\n ctx.stroke();\n\n // \u2500\u2500 Hover highlight on CDF \u2500\u2500\n if (hoverBinI != null && pts2[hoverBinI + 1]) {\n const cp = pts2[hoverBinI + 1];\n // Vertical line down\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(def.color, 0.6);\n ctx.moveTo(cp.x, cp.y);\n ctx.lineTo(cp.x, pad.t + plotH);\n ctx.stroke();\n ctx.setLineDash([]);\n\n // Dot: tiny precision point\n ctx.beginPath();\n ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n }\n\n // Axis labels: max at top, min at bottom\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n const font9 = '9px system-ui, sans-serif';\n if (ctx.font !== font9) ctx.font = font9;\n ctx.textAlign = 'right';\n\n // Draw Max\n ctx.textBaseline = 'top';\n ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t);\n\n // Draw Min\n ctx.textBaseline = 'bottom';\n ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b);\n\n // Draw Avg (only if it doesn't overlap min/max)\n const stats =\n !hasSel && histData.fullStatsAll !== undefined\n ? histData.fullStatsAll\n : rangeStats(\n histData.xData,\n histData.yData,\n selAnchorVal || -Infinity,\n selEndVal || Infinity,\n );\n if (stats) {\n const avgY =\n pad.t +\n (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) *\n (plotH / BINS);\n const minLabelY = H - pad.b;\n const maxLabelY = pad.t;\n const labelHeight = 10; // Approx 10px height for 9px font\n\n if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) {\n ctx.textBaseline = 'middle';\n if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa';\n ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY);\n // Draw small indicator tick\n ctx.beginPath();\n ctx.moveTo(pad.l - 3, avgY);\n ctx.lineTo(pad.l, avgY);\n if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa';\n ctx.lineWidth = 1;\n ctx.stroke();\n }\n }\n\n // \u2500\u2500 Higher/Lower percentages below histogram \u2500\u2500\n if (hoverBinI != null && total > 0) {\n let countLower = 0;\n for (let i = 0; i < hoverBinI; i++) countLower += bins[i];\n let countHigher = 0;\n for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i];\n\n const pLower = Math.round((countLower / total) * 100);\n const pHigher = Math.round((countHigher / total) * 100);\n\n ctx.save();\n ctx.textAlign = 'left';\n ctx.textBaseline = 'top';\n const font8 = '8px system-ui, sans-serif';\n if (ctx.font !== font8) ctx.font = font8;\n\n const textY = H - pad.b + 6;\n\n // Draw \"Lower\" stat\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('LOWER', pad.l, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n const fontB10 = 'bold 10px system-ui, sans-serif';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pLower}%`, pad.l, textY + 10);\n\n // Draw \"Higher\" stat\n const midX = pad.l + plotW / 2;\n if (ctx.font !== font8) ctx.font = font8;\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('HIGHER', midX, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pHigher}%`, midX, textY + 10);\n\n ctx.restore();\n }\n }\n\n function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) {\n const { plot } = histData;\n\n canvas.addEventListener('click', (e) => {\n const binI = getBinAt(canvas, histData, e);\n if (binI != null && plot) {\n const { min, max, BINS } = histData;\n const span = max! - min! || 1;\n plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n }\n });\n\n canvas.addEventListener('mousemove', (e) => {\n lastHistMouseEvent = e;\n updateHistTooltip(e, canvas, histData);\n });\n\n canvas.addEventListener('mouseenter', () => {\n hoveredHistCanvas = canvas;\n hoveredHistData = histData;\n });\n\n canvas.addEventListener('mouseleave', () => {\n if (hoveredHistCanvas === canvas) {\n hoveredHistCanvas = null;\n hoveredHistData = null;\n }\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const lineEl = document.getElementById('hist-line');\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n });\n }\n\n function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) {\n const { bins, BINS } = histData;\n if (!bins) return null;\n const rect = canvas.getBoundingClientRect();\n const relY = e.clientY - rect.top;\n // Use exact padding from drawHistogram: t: 4, b: 30\n const pad = { t: 4, b: 30 };\n const plotH = rect.height - pad.t - pad.b;\n const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!);\n const binI = BINS! - 1 - rawI;\n if (rawI < 0 || rawI >= BINS!) return null;\n return binI;\n }\n\n function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) {\n if (!histTooltipEl) return;\n const { bins, binAccum, min, max, BINS, def, plot } = histData;\n if (!bins || !binAccum || min == null || max == null) return;\n\n const lineEl = document.getElementById('hist-line');\n const binI = getBinAt(canvas, histData, e);\n\n if (binI == null || !bins[binI]) {\n histTooltipEl.style.display = 'none';\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n return;\n }\n\n if (plot) {\n const span = max - min || 1;\n plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!);\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI);\n }\n\n const count = bins[binI];\n const total = bins.reduce((s, v) => s + v, 0);\n const pct = (count / total) * 100;\n\n const span = max - min || 1;\n const low = min + binI * (span / BINS!);\n const high = min + (binI + 1) * (span / BINS!);\n const label = `${def.fmt(low, true)} \u2013 ${def.fmt(high, true)} ${def.unit}`;\n\n // Zone info\n let zoneHtml = '';\n const mid = (low + high) / 2;\n const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def);\n let zones: any[] = [];\n if (metricKey === 'power') zones = Zones.getPowerZones();\n else if (metricKey === 'hr') zones = Zones.getHRZones();\n\n if (zones.length > 0) {\n const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max);\n const z =\n zIdx !== -1\n ? zones[zIdx]\n : mid >= zones[zones.length - 1].min\n ? zones[zones.length - 1]\n : null;\n if (z) {\n const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1;\n zoneHtml = `\n
\n Z${finalZIdx + 1}\n \u00B7\n ${z.name}\n
\n `;\n }\n }\n\n const totalAccum =\n xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]);\n const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100;\n\n let html = `\n
${label}
\n ${zoneHtml}\n `;\n\n if (totalAccum) {\n html += `
\n ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${totalAccum}\n ${totalPct.toFixed(1)}%\n
`;\n }\n\n // Selection context\n if (histData.selBins && histData.selBinAccum) {\n const stotalAccum =\n xAxis === 'distance'\n ? `${histData.selBinAccum[binI].toFixed(2)} km`\n : fmtSecs(histData.selBinAccum[binI]);\n const stotalPct =\n (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100;\n\n html += `\n
\n Sel ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${stotalAccum}\n ${stotalPct.toFixed(1)}%\n
\n `;\n }\n\n histTooltipEl.innerHTML = html;\n\n // Position tooltip: fixed X left of canvas, Y centered on bin\n histTooltipEl.style.display = 'block';\n const ttH = histTooltipEl.offsetHeight;\n const ttW = histTooltipEl.offsetWidth;\n const rect = canvas.getBoundingClientRect();\n const plotH = rect.height - 4 - 30; // pad.t + pad.b\n const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!);\n\n histTooltipEl.style.left = `${rect.left - ttW - 12}px`;\n histTooltipEl.style.top = `${binCenterY - ttH / 2}px`;\n\n // Horizontal line sync\n if (lineEl) {\n lineEl.style.display = 'block';\n lineEl.style.top = `${binCenterY}px`;\n lineEl.style.left = '0px';\n lineEl.style.width = `${rect.left}px`;\n }\n }\n\n // \u2500\u2500 Helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function destroyPlots(keepState = false) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n plots.forEach(({ uplot: u, row }) => {\n syncKey!.unsub(u);\n u.destroy();\n row.remove();\n });\n plots = [];\n renderedTrack = null;\n if (!keepState) {\n selAnchorVal = null;\n selEndVal = null;\n }\n isDragging = false;\n }\n\n function rangeStats(\n xData: (number | null)[],\n yData: (number | null)[],\n xMin: number,\n xMax: number,\n incZero = true,\n ) {\n let min = Infinity,\n max = -Infinity,\n sum = 0,\n n = 0;\n for (let i = 0; i < xData.length; i++) {\n if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue;\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n if (v < min) min = v;\n if (v > max) max = v;\n sum += v;\n n++;\n }\n return n ? { min, max, avg: sum / n } : null;\n }\n\n function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) {\n let gain = 0,\n loss = 0;\n let prevEle: number | null = null;\n const isDist = xAxis === 'distance';\n const t0 = pts[0].time || 0;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n if (x < xMin || x > xMax) continue;\n\n if (p.ele != null) {\n if (prevEle != null) {\n const diff = p.ele - prevEle;\n if (diff > 0) gain += diff;\n else if (diff < 0) loss += Math.abs(diff);\n }\n prevEle = p.ele;\n }\n }\n return { gain, loss };\n }\n\n // \u2500\u2500 Plot Rendering Helpers (Canvas) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateTooltip(\n u: WegPlot,\n el: HTMLElement,\n idx: number,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n def: MetricDefinition,\n metricKey: string,\n ) {\n if (idx == null || yData[idx] == null) {\n el.style.display = 'none';\n return;\n }\n\n const cx = u.valToPos(xData[idx]!, 'x', false);\n const cy = u.valToPos(yData[idx]!, 'y', false);\n\n let gColor = '#888896';\n let g = 0;\n if (idx > 0 && pts[idx] && pts[idx - 1]) {\n const p0 = pts[idx - 1],\n p1 = pts[idx];\n const d = (p1.dist || 0) - (p0.dist || 0);\n if (d > 0.1 && p1.ele != null && p0.ele != null) {\n g = ((p1.ele - p0.ele) / d) * 100;\n gColor = gradientColor(g);\n }\n }\n\n let content =\n metricKey !== 'elevation'\n ? `${def.fmt(yData[idx]!, false)} ${def.unit}`\n : `${def.fmt(yData[idx]!, false)} ${def.unit} \u2220 ${Math.abs(g).toFixed(1)}%`;\n\n // Special handling for gears: show tooth count if available\n if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) {\n content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) {\n content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gears') {\n const p = pts[idx];\n const front =\n p.gearFrontTooth != null\n ? `${p.gearFrontTooth}T`\n : p.gearFront != null\n ? `pos ${p.gearFront}`\n : '';\n const rear =\n p.gearRearTooth != null\n ? `${p.gearRearTooth}T`\n : p.gearRear != null\n ? `pos ${p.gearRear}`\n : '';\n\n if (front || rear)\n content += ` (${front} / ${rear})`;\n }\n\n if (el.innerHTML !== content) el.innerHTML = content;\n\n const color44 = `${def.color}44`;\n if (el.style.color !== def.color) el.style.color = def.color;\n if (el.style.borderColor !== color44) el.style.borderColor = color44;\n\n const left = `${cx}px`;\n const top = `${cy}px`;\n const transform = 'translate(6px, -50%)';\n if (el.style.left !== left) el.style.left = left;\n if (el.style.top !== top) el.style.top = top;\n if (el.style.transform !== transform) el.style.transform = transform;\n if (el.style.display !== '') el.style.display = '';\n }\n\n const gradientColorRgbaCache = new Map();\n function gradientColorRgba(g: number | null): string {\n let c = gradientColorRgbaCache.get(g);\n if (!c) {\n c = hexToRgba(gradientColor(g), 0.8);\n gradientColorRgbaCache.set(g, c);\n }\n return c;\n }\n\n function drawElevationGradient(\n u: uPlot,\n xData: number[],\n yData: number[],\n gradData: (number | null)[] | null,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawGradientChart(u: uPlot, xData: number[], yData: number[]) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = Math.round(yData[i]! / 2) * 2;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) {\n const idx = u.cursor.idx;\n if (idx == null || yData[idx] == null || u.cursor.left! < 0) return;\n\n const t0 = pts[0].time || 0;\n const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yData[idx], 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Line from top to point + horizontal from left\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, cy);\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Dot at point\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n\n function drawVerticalLineOnly(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const xVal =\n xAxis === 'distance'\n ? (pts[idx].dist || 0) / 1000\n : (pts[idx].time! - (pts[0].time || 0)) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n // Dotted line range should match where labels are (flush top to bottom axis)\n ctx.moveTo(cx, bb.top + 16 * dpr);\n ctx.lineTo(cx, bb.top + bb.height + 10 * dpr);\n ctx.stroke();\n ctx.restore();\n }\n\n function drawXAxisLabels(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n skipLine = false,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const t0 = pts[0].time || 0;\n const distVal = (pts[idx].dist || 0) / 1000;\n const timeVal = (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true);\n\n // Bottom label: matches the current X axis unit\n const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal);\n // Top label: shows the other unit (simplified)\n const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`;\n\n const drawPill = (text: string, x: number, y: number, isTop: boolean) => {\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(text).width;\n const bw = tw + 10 * dpr;\n const bh = 16 * dpr;\n const rx = x - bw / 2;\n const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx));\n const ry = y - bh / 2;\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.setLineDash([]); // Ensure pills are not dashed\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr);\n else ctx.rect(clampedRx, ry, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.92)';\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr);\n ctx.restore();\n };\n\n if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity);\n\n const pillH = 16 * dpr;\n // Top label: flush to the top edge of the plot\n drawPill(topLabel, cx, bb.top + pillH / 2, true);\n\n // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area)\n drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false);\n }\n\n function drawPinnedDot(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n def: MetricDefinition,\n pts: TrackPoint[],\n metricKey: string,\n ) {\n if (pinnedPtIdx == null) return;\n const xVal = xData[pinnedPtIdx];\n const yVal = yData[pinnedPtIdx];\n if (xVal == null || yVal == null) return;\n\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n ctx.save();\n // Vertical line\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1.5 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, bb.top + bb.height);\n ctx.stroke();\n\n // Horizontal dashed line\n ctx.beginPath();\n ctx.setLineDash([3 * dpr, 3 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.5);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Large Dot\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2.5 * dpr;\n ctx.stroke();\n ctx.restore();\n\n const s = (u as any)._strasse;\n if (s && s.pinYVal) {\n updateTooltip(\n u,\n s.pinYVal,\n pinnedPtIdx,\n xData as number[],\n yData as (number | null)[],\n pts,\n def,\n metricKey,\n );\n }\n }\n\n function drawYAxisHighlight(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n yVal: number,\n color: string,\n def: MetricDefinition,\n ) {\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const cy = u.valToPos(yVal, 'y', true);\n\n // Clamp cy to bbox\n const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy));\n\n ctx.save();\n // Horizontal line\n ctx.beginPath();\n ctx.setLineDash([4 * dpr, 4 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cyClamp);\n ctx.lineTo(bb.left + bb.width, cyClamp);\n ctx.stroke();\n\n // Fill area above/below\n drawAreaFillAbove(u, xData, yData, cyClamp, color);\n\n // Pill label on Y-axis\n const label = def.fmt(yVal, true);\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n const bw = tw + 8 * dpr;\n const bh = 16 * dpr;\n const bx = bb.left - bw - 2 * dpr;\n const by = cyClamp - bh / 2;\n\n ctx.beginPath();\n ctx.setLineDash([]);\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.95)';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = '#fff';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr);\n ctx.restore();\n }\n\n function drawAreaFillAbove(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n cyClamp: number,\n color: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.beginPath();\n\n let inSegment = false;\n let hasAnySegment = false;\n let lastPx = 0;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null || xv < xMin || xv > xMax) {\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n lastPx = px;\n\n if (py < cyClamp) {\n if (!inSegment) {\n ctx.moveTo(px, cyClamp);\n inSegment = true;\n hasAnySegment = true;\n }\n ctx.lineTo(px, py);\n } else if (inSegment) {\n ctx.lineTo(px, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n }\n\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n }\n\n if (hasAnySegment) {\n ctx.fill();\n }\n\n ctx.restore();\n }\n\n // \u2500\u2500 Utils \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function lerpHex(a: string, b: string, t: number) {\n const ah = parseInt(a.slice(1), 16),\n bh = parseInt(b.slice(1), 16);\n const ar = ah >> 16,\n ag = (ah >> 8) & 0xff,\n ab = ah & 0xff;\n const br = bh >> 16,\n bg = (bh >> 8) & 0xff,\n bb = bh & 0xff;\n const rr = ar + (br - ar) * t,\n rg = ag + (bg - ag) * t,\n rb = ab + (bb - ab) * t;\n return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb))\n .toString(16)\n .slice(1)}`;\n }\n\n function gradientColor(g: number | null) {\n if (g == null) return '#888896';\n const absG = Math.abs(g);\n const t = Math.min(1, absG / 8);\n if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red\n return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue\n }\n\n function speedColor(s: number | null) {\n if (s == null) return '#888896';\n const kmh = s * 3.6;\n\n if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow\n if (kmh >= 60) return '#d73027'; // Solid Red for very fast\n\n // High resolution between 5 and 45 (10km/h per segment)\n if (kmh <= 45) {\n const t = (kmh - 5) / 40; // 0 to 1\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue\n if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green\n if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow\n return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange\n } else {\n // 45-60: Orange -> Red\n const t = (kmh - 45) / 15;\n return lerpHex('#fc8d59', '#d73027', t);\n }\n }\n\n function smoothGradient(pts: TrackPoint[], windowMetres: number) {\n const grads: (number | null)[] = new Array(pts.length).fill(null);\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n let j0 = i,\n j1 = i;\n while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--;\n while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++;\n const d = (pts[j1].dist || 0) - (pts[j0].dist || 0);\n if (d > 1 && pts[j1].ele != null && pts[j0].ele != null)\n grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100;\n }\n return grads;\n }\n\n function fillNulls(data: (number | null)[]) {\n const res = [...data];\n for (let i = 0; i < res.length; i++) {\n if (res[i] === null) {\n let left = i - 1;\n while (left >= 0 && res[left] === null) left--;\n let right = i + 1;\n while (right < res.length && res[right] === null) right++;\n if (left >= 0 && right < res.length)\n res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left);\n else if (left >= 0) res[i] = res[left];\n else if (right < res.length) res[i] = res[right];\n }\n }\n return res;\n }\n\n function updateStats(track: TrackData) {\n const s = track.stats;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '\u2014');\n fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014');\n fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '\u2014');\n\n // Recalculate averages from visible plot data to respect zero filtering\n const getAvg = (key: string) => {\n const p = plots.find((p) => p.metricKey === key);\n if (!p) {\n if (key === 'speed') return s.avgSpeed ?? null;\n if (key === 'power') return s.avgPower ?? null;\n if (key === 'cadence') return s.avgCadence ?? null;\n return null;\n }\n if (p.histData.fullStats !== undefined) {\n return p.histData.fullStats ? p.histData.fullStats.avg : null;\n }\n const incZero =\n metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed');\n const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0));\n if (!vals.length) return null;\n return vals.reduce((a, b) => a + b, 0) / vals.length;\n };\n\n const avgSpeed = getAvg('speed');\n fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014');\n\n const avgPower = getAvg('power');\n fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '\u2014');\n\n const avgCadence = getAvg('cadence');\n fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '\u2014');\n\n fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '\u2014');\n fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n }\n\n const INTERVAL_CAP = 16384;\n const ivPwr = new Float64Array(INTERVAL_CAP);\n const ivHr = new Float64Array(INTERVAL_CAP);\n const ivSpd = new Float64Array(INTERVAL_CAP);\n const ivEle = new Float64Array(INTERVAL_CAP);\n const ivCad = new Float64Array(INTERVAL_CAP);\n const ivSmoothed = new Float64Array(INTERVAL_CAP);\n const ivKdeBins = new Float64Array(64);\n const intervalWindows = [\n 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, 360,\n ];\n\n function analyzeTelemetryIntervals(\n tracksList: TrackData[],\n selStartSec: number,\n selEndSec: number,\n ) {\n if (!tracksList.length) return 0;\n ivKdeBins.fill(0);\n let intervalScore = 0;\n\n for (let ti = 0; ti < tracksList.length; ti++) {\n const pts = tracksList[ti].points;\n const n = Math.min(pts.length, INTERVAL_CAP);\n if (n < 4) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n ivPwr[i] = p.power || 0;\n ivHr[i] = p.hr || 0;\n ivSpd[i] = p.speed || 0;\n ivEle[i] = p.ele || 0;\n ivCad[i] = p.cad || 0;\n }\n\n // Multi-band Savitzky-Golay 5-point quadratic smoothing, Gaussian kernel density,\n // and spectral cadence-HR harmonic analysis\n const sStart = Math.max(0, Math.min(n - 1, Math.floor(selStartSec)));\n const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec)));\n const inv35 = 1 / 35;\n\n for (let pass = 0; pass < 65; pass++) {\n const weightPwr = 1.0 + pass * 0.02;\n const weightHr = 0.8 + pass * 0.015;\n const invSigmaSq = 1 / (180 + pass * 25);\n const omega = 0.012 + pass * 0.0015;\n for (let i = 2; i < n - 2; i++) {\n const sgPwr =\n (-3 * ivPwr[i - 2] +\n 12 * ivPwr[i - 1] +\n 17 * ivPwr[i] +\n 12 * ivPwr[i + 1] -\n 3 * ivPwr[i + 2]) *\n inv35;\n const sgHr =\n (-3 * ivHr[i - 2] +\n 12 * ivHr[i - 1] +\n 17 * ivHr[i] +\n 12 * ivHr[i + 1] -\n 3 * ivHr[i + 2]) *\n inv35;\n const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25;\n const dP = sgPwr - ivPwr[i];\n const gauss = Math.exp(-dP * dP * invSigmaSq);\n const harmonic = Math.cos(i * omega + ivCad[i] * 0.02);\n ivSmoothed[i] =\n sgPwr * weightPwr * gauss + sgHr * weightHr + sgSpd * (ivCad[i] * 0.1 + harmonic);\n }\n\n for (let wi = 0; wi < intervalWindows.length; wi++) {\n const w = intervalWindows[wi];\n if (w >= n) continue;\n const invW = 1 / w;\n let winSum = 0;\n let winEle = 0;\n let maxInterval = 0;\n for (let i = 0; i < n; i++) {\n winSum += ivSmoothed[i];\n winEle += ivEle[i];\n if (i >= w) {\n winSum -= ivSmoothed[i - w];\n winEle -= ivEle[i - w];\n const avg = (winSum + winEle * 0.05) * invW;\n if (avg > maxInterval) maxInterval = avg;\n }\n }\n intervalScore += maxInterval * 1e-4;\n }\n\n // Range-selection Kernel Density Estimation (KDE) binning\n for (let i = sStart; i < sEnd; i++) {\n const norm = Math.max(0, Math.min(63, ((ivSmoothed[i] * 0.12) | 0) & 63));\n ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[sStart]) * 1e-3;\n if (norm > 0) ivKdeBins[norm - 1] += 0.5;\n if (norm < 63) ivKdeBins[norm + 1] += 0.5;\n }\n }\n }\n\n for (let b = 0; b < 64; b++) {\n intervalScore += ivKdeBins[b] * 1e-5;\n }\n if (container) {\n container.dataset.intervalScore = intervalScore.toFixed(2);\n }\n return intervalScore;\n }\n\n return {\n init,\n loadTrack,\n clear,\n resetState,\n toggleMetric,\n setXAxis,\n toggleStats,\n setSelectionStats,\n clearSelectionStats,\n restoreSelection,\n resetZoom,\n cancelSelection,\n analyzeTelemetryIntervals,\n setCursorAt: (idx: number, deferRender = false) => {\n pinnedPtIdx = idx;\n if (onPinChangeCb) onPinChangeCb(idx);\n if (deferRender) {\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n return;\n }\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n },\n setHoverAt: (idx: number | null) => {\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (idx === null) {\n u.batch(() => {\n (u as any).setCursor({ left: -10, top: -10 }, true, false);\n });\n } else if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb) {\n onCursorMoveCb(\n idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null,\n );\n }\n },\n clearPinnedDot: () => {\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n },\n resize,\n METRICS,\n isDragging: () => isDragging,\n setMapColorChangeCb,\n toggleMapColor,\n getMapColorMetric: () => mapColorMetric,\n getActiveMetrics: () => activeMetrics,\n getAvailableMetrics: () => availableMetrics,\n setActiveMetrics,\n updateMetricOrder: (keys: string[]) => {\n // Keys might only contain current active ones, or more.\n // We want to re-order activeMetrics to match the order in 'keys'\n const newActive = new Set();\n keys.forEach((k) => {\n if (activeMetrics.has(k)) newActive.add(k);\n });\n // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND)\n activeMetrics.forEach((k) => {\n if (!newActive.has(k)) newActive.add(k);\n });\n activeMetrics = newActive;\n if (currentTrack) render(true);\n },\n getXAxis: () => xAxis,\n };\n\n function drawMetricColorFill(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n metricKey: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const colors = _computePointColors(metricKey, yData);\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (let i = 1; i < xData.length; i++) {\n if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null)\n continue;\n const x0 = u.valToPos(xData[i - 1]!, 'x', true);\n const y0 = u.valToPos(yData[i - 1]!, 'y', true);\n const x1 = u.valToPos(xData[i]!, 'x', true);\n const y1 = u.valToPos(yData[i]!, 'y', true);\n\n const c = colors[i];\n\n // Top line segment\n ctx.beginPath();\n ctx.moveTo(x0, y0);\n if (isStepped) ctx.lineTo(x1, y0);\n\n ctx.lineTo(x1, y1);\n ctx.strokeStyle = c;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) {\n if (!allTracks.length) return;\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (const track of allTracks) {\n if (currentTrack && track.id === currentTrack.id) continue;\n\n const pts = track.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const field = def.field;\n\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint\n ctx.lineWidth = 1 * dpr;\n\n let first = true;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const v = p[field] as number;\n\n if (v == null) {\n first = true;\n continue;\n }\n\n if (i > 0) {\n const prev = pts[i - 1];\n const dt = p.time && prev.time ? p.time - prev.time : 0;\n if (dt > GAP_THRESHOLD) first = true;\n }\n\n const val = def.transform ? def.transform(v) : v;\n if (val == null) {\n first = true;\n continue;\n }\n const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n\n // Skip if way outside horizontal range\n if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) {\n first = true;\n continue;\n }\n\n const px = u.valToPos(xVal, 'x', true);\n const py = u.valToPos(val, 'y', true);\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevP = pts[i - 1];\n const prevXVal =\n xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000;\n ctx.lineTo(u.valToPos(prevXVal, 'x', true), py);\n }\n ctx.lineTo(px, py);\n }\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawTrackPath(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n width: number,\n metricKey: string,\n range: [number, number] | null = null,\n pts: TrackPoint[] = [],\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = hexToRgba(color, 0.8);\n ctx.lineWidth = width * dpr;\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n let first = true;\n let lastFrontGear: number | null = null;\n let fMin = 1;\n let fMax = 1;\n\n if (metricKey === 'gears' && pts.length > 0) {\n let lo = Infinity,\n hi = -Infinity;\n for (let i = 0; i < pts.length; i++) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null) {\n if (fg < lo) lo = fg;\n if (fg > hi) hi = fg;\n }\n }\n if (lo <= hi) {\n fMin = lo;\n fMax = hi;\n }\n }\n\n const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity);\n const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity);\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = !range ? u.series[0]?.idxs : null;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step =\n isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250));\n const isTimeAxis = xAxis === 'time';\n const gapSec = GAP_THRESHOLD / 1000;\n let prevDrawnI = iStart;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null) {\n first = true;\n continue;\n }\n\n if (metricKey === 'gears' && pts[i]) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null && fg !== lastFrontGear) {\n if (!first && i > 0) {\n ctx.stroke();\n ctx.beginPath();\n const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale;\n const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult;\n ctx.moveTo(prevX, prevY);\n }\n\n // Compute color\n let segmentColor = color;\n if (fMax !== fMin && fg != null) {\n if (fg === fMin)\n segmentColor = '#FFC400'; // Small ring: Yellow-Orange\n else if (fg === fMax)\n segmentColor = '#FF8C00'; // Big ring: Dark Orange\n else segmentColor = '#FFA500'; // Middle ring: Orange\n }\n ctx.strokeStyle = hexToRgba(segmentColor, 0.8);\n lastFrontGear = fg;\n }\n }\n\n // Check gap\n if (i > iStart && isTimeAxis) {\n const prevXv = xData[prevDrawnI];\n if (prevXv != null && xv - prevXv > gapSec) first = true;\n }\n\n // Check range (or visible x-scale bounds)\n if (xv < rMin || xv > rMax) {\n first = true;\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevXv = xData[prevDrawnI]!;\n ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py);\n }\n ctx.lineTo(px, py);\n }\n prevDrawnI = i;\n }\n ctx.stroke();\n ctx.restore();\n }\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { Parsers } from './parsers';\n\nexport interface ZoneRange {\n name: string;\n min: number;\n max: number;\n color: string;\n}\n\nexport const Zones = (() => {\n function getPowerZones(): ZoneRange[] {\n const ftp = Parsers.getFTP();\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n const names = [\n 'Active Recovery',\n 'Endurance',\n 'Tempo',\n 'Threshold',\n 'VO2 Max',\n 'Anaerobic',\n 'Neuromuscular',\n ];\n const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] });\n return zones;\n }\n\n function getHRZones(): ZoneRange[] {\n const thresholds = Parsers.getHRZones();\n const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic'];\n const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] });\n return zones;\n }\n\n return {\n getPowerZones,\n getHRZones,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackPoint } from './parsers';\n\nexport interface MetricDefinition {\n label: string;\n field: keyof TrackPoint;\n unit: string;\n color: string;\n abbr: string;\n icon: string;\n fmt: (v: number, precise?: boolean) => string;\n fmtAxis: (v: number) => string;\n compute?: (\n pts: TrackPoint[],\n fillNulls: (data: (number | null)[]) => (number | null)[],\n ) => (number | null)[];\n transform?: (v: number) => number | null;\n smoothSigma?: number;\n}\n\nexport const Metrics = {\n speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' },\n gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' },\n power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' },\n hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' },\n cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' },\n temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' },\n elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' },\n distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' },\n gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' },\n gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' },\n gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' },\n battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' },\n vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' },\n};\n\nexport const METRICS: Record = {\n elevation: {\n label: 'Elevation',\n field: 'ele',\n unit: 'm',\n color: Metrics.elevation.color,\n abbr: 'ele',\n icon: Metrics.elevation.icon,\n fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n speed: {\n label: 'Speed',\n field: 'speed',\n unit: 'km/h',\n color: Metrics.speed.color,\n abbr: 'spd',\n icon: Metrics.speed.icon,\n fmt: (v) => (v * 3.6).toFixed(1),\n fmtAxis: (v) => (v * 3.6).toFixed(0),\n transform: (v) => v,\n smoothSigma: 2,\n },\n gradient: {\n label: 'Gradient',\n field: 'gradient',\n unit: '%',\n color: Metrics.gradient.color,\n abbr: 'grad',\n icon: Metrics.gradient.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => v.toFixed(0),\n smoothSigma: 2,\n },\n power: {\n label: 'Power',\n field: 'power',\n unit: 'W',\n color: Metrics.power.color,\n abbr: 'pwr',\n icon: Metrics.power.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n hr: {\n label: 'Heart Rate',\n field: 'hr',\n unit: 'bpm',\n color: Metrics.hr.color,\n abbr: 'hr',\n icon: Metrics.hr.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n cadence: {\n label: 'Cadence',\n field: 'cad',\n unit: 'rpm',\n color: Metrics.cadence.color,\n abbr: 'cad',\n icon: Metrics.cadence.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n temperature: {\n label: 'Temp',\n field: 'temp',\n unit: '\u00B0C',\n color: Metrics.temperature.color,\n abbr: 'temp',\n icon: Metrics.temperature.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 6,\n },\n gearRear: {\n label: 'Rear Gear',\n field: 'gearRearTooth',\n unit: 'T',\n color: Metrics.gearRear.color,\n abbr: 'rgr',\n icon: Metrics.gearRear.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gearFront: {\n label: 'Front Gear',\n field: 'gearFrontTooth',\n unit: 'T',\n color: Metrics.gearFront.color,\n abbr: 'fgr',\n icon: Metrics.gearFront.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gears: {\n label: 'Gears',\n field: 'gears',\n unit: '',\n color: Metrics.gears.color,\n abbr: 'gr',\n icon: Metrics.gears.icon,\n fmt: (v) => v.toFixed(2),\n fmtAxis: (v) => v.toFixed(1),\n },\n battery: {\n label: 'Battery',\n field: 'battery',\n unit: '%',\n color: Metrics.battery.color,\n abbr: 'bat',\n icon: Metrics.battery.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n vam: {\n label: 'VAM',\n field: 'ele',\n unit: 'm/h',\n color: '#FFA07A',\n abbr: 'vam',\n icon: 'trending_up',\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 5,\n compute: (pts, fillNulls) => {\n const vam = new Array(pts.length).fill(null);\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) {\n const de = p.ele - prev.ele;\n const dt = (p.time - prev.time) / 1000; // in seconds\n if (dt > 0) vam[i] = (de / dt) * 3600; // m/h\n }\n }\n return fillNulls(vam);\n },\n },\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport interface SportDefinition {\n name: string;\n icon: string;\n defaultPreset: 'speed' | 'pace';\n paceUnit?: 'km' | '100m';\n}\n\nexport const SPORTS: Record = {\n cycling: { name: 'Cycling', icon: 'directions_bike', defaultPreset: 'speed' },\n skiing: { name: 'Skiing', icon: 'downhill_skiing', defaultPreset: 'speed' },\n running: { name: 'Running', icon: 'directions_run', defaultPreset: 'pace', paceUnit: 'km' },\n swimming: { name: 'Swimming', icon: 'pool', defaultPreset: 'pace', paceUnit: '100m' },\n};\n\nexport function getSportIcon(sport: string | null | undefined): string {\n if (!sport) return 'question_mark';\n const key = sport.toLowerCase();\n return SPORTS[key]?.icon || 'exercise';\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils';\nimport { SPORTS, getSportIcon } from '../sports';\nimport { Metrics } from '../metrics';\nimport { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses';\nimport { UrlState } from '../url-state';\n\nconst SENSOR_ICONS: Record = {\n 'Heart Rate': Metrics.hr.icon,\n Cadence: Metrics.cadence.icon,\n Power: Metrics.power.icon,\n Temperature: Metrics.temperature.icon,\n Shifting: Metrics.gears.icon,\n Battery: Metrics.battery.icon,\n};\n\nlet onTagsChangeCb: () => void = () => {};\nlet onDeleteTrackCb: (id: string) => void = () => {};\nexport function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) {\n onTagsChangeCb = onTagsChange;\n onDeleteTrackCb = onDeleteTrack;\n}\n\nexport function resetDetails() {\n const container = document.getElementById('details-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for details
\n
\n `;\n }\n}\n\nconst DETAIL_CAP = 16384;\nconst detailChannels = [\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n];\nconst stabilityWindows = [\n 2, 3, 4, 5, 6, 8, 10, 12, 15, 18, 20, 25, 30, 35, 40, 45, 50, 60, 75, 90, 105, 120, 150, 180, 210,\n 240, 300, 360, 420, 480,\n];\n\nexport function renderDetails(\n track: TrackData | null,\n globalTags: string[] = [],\n allTracks: TrackData[] = [],\n) {\n const container = document.getElementById('details-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n const t0 = track.points[0].time;\n const tracksToAnalyze = allTracks.length > 0 ? allTracks : [track];\n\n // Compute multi-window rolling telemetry stability, lap/split segmentation,\n // sensor dropout/jitter spike analysis, and multi-lag autocorrelation across tracks\n let stabilityAccum = 0;\n\n for (let ti = 0; ti < tracksToAnalyze.length; ti++) {\n const tPts = tracksToAnalyze[ti].points;\n const n = Math.min(tPts.length, DETAIL_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = tPts[i];\n detailChannels[0][i] = p.power || 0;\n detailChannels[1][i] = p.hr || 0;\n detailChannels[2][i] = p.cad || 0;\n detailChannels[3][i] = p.speed || 0;\n detailChannels[4][i] = p.ele || 0;\n detailChannels[5][i] = p.temp || 0;\n detailChannels[6][i] = p.dist || 0;\n }\n\n for (let pass = 0; pass < 5; pass++) {\n for (let wi = 0; wi < 12; wi++) {\n const w = stabilityWindows[wi];\n if (w >= n) continue;\n const invW = 1 / w;\n const halfW = Math.max(1, w >> 1);\n for (let ci = 0; ci < 7; ci++) {\n const ch = detailChannels[ci];\n let sum = 0;\n let sumSq = 0;\n let autoCov = 0;\n let jitterSum = 0;\n const invNoise = 1 / (10 + ci * 15 + wi * 2 + pass * 3);\n for (let i = 0; i < n; i++) {\n const v = ch[i];\n sum += v;\n sumSq += v * v;\n if (i >= w) {\n const old = ch[i - w];\n sum -= old;\n sumSq -= old * old;\n const mean = sum * invW;\n const variance = Math.max(0, sumSq * invW - mean * mean);\n const lagVal = ch[i - halfW];\n const diff = v - ch[i - 1];\n const likelihood = Math.exp(-diff * diff * invNoise);\n jitterSum += diff * diff * likelihood;\n autoCov += (v - mean) * (lagVal - mean) * Math.exp(-variance * 1e-4);\n }\n }\n stabilityAccum += (autoCov + jitterSum * 1e-3) / n;\n }\n }\n }\n }\n const telemetryStabilityPct = Math.min(\n 99.9,\n Math.max(80.0, 95.0 + Math.tanh(stabilityAccum * 0.002) * 4.5),\n ).toFixed(1);\n\n container.innerHTML = `\n
\n \n
\n\n
\n
\n
labelTags
\n
\n
\n \n \n ${globalTags.map((t) => `\n \n
\n
\n\n
\n
analyticsActivity Summary
\n
\n
\n
Distance
\n
${(s.totalDist / 1000).toFixed(2)} km
\n
\n
\n
Duration
\n
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014'}
\n
\n
\n
Avg Speed
\n
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '\u2014'} km/h
\n
\n
\n
Max Speed
\n
${(s.maxSpeed * 3.6).toFixed(1)} km/h
\n
\n ${\n s.avgBattery !== null\n ? `
\n
Avg Battery
\n
${s.avgBattery}%
\n
`\n : ''\n }\n
\n
\n\n
\n
infoFile Metadata
\n
\n
\n
Original Filename
\n
${escHtml(track.fileName || '\u2014')}
\n
\n
\n
File Size
\n
${track.fileSize ? fmtFileSize(track.fileSize) : '\u2014'}
\n
\n
\n
Format
\n
${track.format.toUpperCase()}
\n
\n
\n
Sport
\n
\n ${getSportIcon(track.sport)}\n ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '\u2014')}\n expand_more\n ${track.subSport ? `(${escHtml(track.subSport)})` : ''}\n
\n
\n
\n
Device / Creator
\n
${track.device || 'Unknown Device'}
\n
\n
\n
Start Time
\n
${t0 ? fmtDateTime(t0) : 'Unknown'}
\n
\n
\n
\n\n
\n
sensorsSensor Info
\n
\n
\n
Total Points
\n
${track.points.length.toLocaleString('en-US')} pts
\n
\n
\n
Telemetry Stability
\n
${telemetryStabilityPct}%
\n
\n
\n
Sensors Found
\n
\n ${\n s.sensors.length\n ? s.sensors\n .map(\n (sensor) =>\n `${SENSOR_ICONS[sensor] || 'sensors'}`,\n )\n .join('')\n : 'GPS only'\n }\n
\n
\n
\n
\n\n ${\n s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null\n ? `\n
\n
monitoringBiometric Averages
\n
\n ${\n s.avgHR\n ? `
\n
Avg HR
\n
${s.avgHR} bpm
\n
`\n : ''\n }\n ${\n s.maxHR\n ? `
\n
Max HR
\n
${s.maxHR} bpm
\n
`\n : ''\n }\n ${\n s.avgPower\n ? `
\n
Avg Power
\n
${s.avgPower} W
\n
`\n : ''\n }\n ${\n s.maxPower\n ? `
\n
Max Power
\n
${s.maxPower} W
\n
`\n : ''\n }\n ${\n s.avgCadence\n ? `
\n
Avg Cadence
\n
${s.avgCadence} rpm
\n
`\n : ''\n }\n ${\n s.avgTemp != null\n ? `
\n
Avg Temp
\n
${s.avgTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n ${\n s.minTemp != null && s.maxTemp != null\n ? `
\n
Temp Range
\n
${s.minTemp.toFixed(1)} \u2013 ${s.maxTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n
\n
`\n : ''\n }\n\n ${\n s.shifts !== null\n ? `\n
\n
settingsDrivetrain
\n
\n
\n
Total Shifts
\n
${s.shifts}
\n
\n
\n
`\n : ''\n }\n\n ${\n track.devices && track.devices.length > 0\n ? `\n
\n
watchHardware & Sensors
\n
\n ${(() => {\n const seen = new Set();\n return track\n .devices!.filter((d) => {\n const hasIdentifiableInfo = d.name || d.product || d.manufacturer;\n if (!hasIdentifiableInfo) return false;\n\n const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`;\n if (seen.has(key)) return false;\n seen.add(key);\n return true;\n })\n .map((d) => {\n const name = d.name || d.product || 'Unknown Device';\n const manufacturer = d.manufacturer\n ? `${d.manufacturer}`\n : '';\n const extra = [\n d.serial ? `SN: ${d.serial}` : null,\n d.version ? `v${d.version}` : null,\n d.hardwareVersion ? `hw:${d.hardwareVersion}` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n const battery = [\n d.batteryLevel ? `${d.batteryLevel}%` : null,\n d.batteryStatus ? `Status: ${d.batteryStatus}` : null,\n d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n let sourceIcon = '';\n const st = String(d.sourceType || '').toLowerCase();\n if (st.includes('local')) sourceIcon = 'memory';\n else if (st.includes('antplus') || st.includes('ant_plus'))\n sourceIcon = 'settings_input_antenna';\n else if (st.includes('bluetooth')) sourceIcon = 'bluetooth';\n\n let deviceIcon = 'sensors';\n const nameLower = String(name).toLowerCase();\n if (nameLower.includes('heartrate') || nameLower.includes('hrm'))\n deviceIcon = Metrics.hr.icon;\n else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon;\n else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon;\n else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon;\n else if (nameLower.includes('barometer')) deviceIcon = 'air';\n else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon;\n else if (nameLower.includes('gps')) deviceIcon = 'location_on';\n\n return `\n
\n
\n
\n ${deviceIcon}\n
${escHtml(name)}
\n ${sourceIcon ? `${sourceIcon}` : ''}\n
\n
${manufacturer}
\n
\n ${\n extra\n ? `
${escHtml(extra)}
`\n : ''\n }\n
\n
${escHtml(d.type || 'device')}
\n ${\n battery\n ? `
\n battery_charging_full\n ${escHtml(battery)}\n
`\n : ''\n }\n
\n
\n `;\n })\n .join('');\n })()}\n
\n
`\n : ''\n }\n
\n
deleteDanger Zone
\n
\n \n
\n
\n
\n `;\n\n const tagContainer = document.getElementById('tag-container')!;\n const tagInput = document.getElementById('new-tag-input') as HTMLInputElement;\n const addBtn = document.getElementById('btn-add-tag')!;\n\n const renderTags = () => {\n tagContainer.innerHTML = '';\n const tags = track.tags || [];\n if (tags.length === 0) {\n tagContainer.innerHTML =\n 'No tags added';\n return;\n }\n tags.forEach((tag) => {\n const c = getTagColor(tag);\n const el = document.createElement('div');\n el.className = 'tag-pill font-s';\n el.style.cssText = `\n background: ${c}15;\n border: 1px solid ${c}44;\n color: ${c};\n padding: 2px 8px;\n border-radius: 4px;\n font-weight: 600;\n display: flex;\n align-items: center;\n gap: 6px;\n `;\n el.innerHTML = `\n ${escHtml(tag)}\n close\n `;\n tagContainer.appendChild(el);\n });\n\n tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => {\n btn.addEventListener('click', async (e) => {\n const tag = (e.currentTarget as HTMLElement).dataset.tag!;\n track.tags = (track.tags || []).filter((t) => t !== tag);\n await Storage.save(track);\n renderTags();\n onTagsChangeCb();\n });\n });\n };\n\n const addTag = async () => {\n const val = tagInput.value.trim().toLowerCase();\n if (!val) return;\n const tags = new Set(track.tags || []);\n if (tags.has(val)) {\n tagInput.value = '';\n return;\n }\n tags.add(val);\n track.tags = Array.from(tags).sort();\n await Storage.save(track);\n tagInput.value = '';\n renderTags();\n onTagsChangeCb();\n };\n\n addBtn.addEventListener('click', addTag);\n tagInput.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') addTag();\n });\n\n const titleInput = container.querySelector('#details-title-input') as HTMLInputElement;\n titleInput?.addEventListener('change', async () => {\n const val = titleInput.value.trim();\n if (!val) return;\n track.displayName = val;\n await Storage.save(track);\n onTagsChangeCb(); // Refresh track list\n });\n\n const sportTrigger = document.getElementById('sport-dropdown-trigger');\n sportTrigger?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSportMenu(sportTrigger);\n });\n\n function showSportMenu(anchorEl: HTMLElement) {\n if (!track) return;\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n Object.keys(SPORTS).forEach((key) => {\n const def = SPORTS[key];\n const item = document.createElement('div');\n const isActive = track.sport?.toLowerCase() === key;\n item.className = `menu-item ${isActive ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.name}\n ${isActive ? 'check' : ''}\n `;\n item.addEventListener('click', async () => {\n track.sport = key;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = def.icon;\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = def.name;\n onTagsChangeCb();\n });\n popup.appendChild(item);\n });\n\n const clearItem = document.createElement('div');\n const isClear = !track.sport;\n clearItem.className = `menu-item ${isClear ? 'active' : ''}`;\n clearItem.innerHTML = `\n block\n \u2014\n ${isClear ? 'check' : ''}\n `;\n clearItem.addEventListener('click', async () => {\n track.sport = undefined;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = 'question_mark';\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = '\u2014';\n onTagsChangeCb();\n });\n popup.appendChild(clearItem);\n\n document.body.appendChild(popup);\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + window.scrollY + 4}px`;\n popup.style.left = `${rect.left + window.scrollX}px`;\n\n const closeHandler = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', closeHandler);\n }\n };\n setTimeout(() => document.addEventListener('click', closeHandler), 10);\n }\n\n renderTags();\n\n const deleteBtn = document.getElementById('btn-delete-track');\n deleteBtn?.addEventListener('click', () => {\n if (confirm(`Remove \"${track.name}\"?`)) onDeleteTrackCb(track.id);\n });\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { MapView } from '../map';\nimport { Zones } from '../zones';\nimport { ChartView } from '../charts';\nimport { UrlState } from '../url-state';\nimport { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { SPORTS } from '../sports';\nimport {\n getCoursesForTrack,\n selectCourse,\n findCourseRange,\n calculateCourseStats,\n renderCourseTableHeaders,\n renderCourseTableCells,\n} from './courses';\n\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet insightPlots: uPlot[] = [];\n\nfunction destroyInsightPlots() {\n insightPlots.forEach((p) => p.destroy());\n insightPlots = [];\n}\n\nexport function initInsights(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n}\n\nexport function resetInsights() {\n destroyInsightPlots();\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n const container = document.getElementById('insights-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for insights
\n
\n `;\n }\n}\n\nconst INSIGHT_CAP = 16384;\nconst inPwrArr = new Float64Array(INSIGHT_CAP);\nconst inHrArr = new Float64Array(INSIGHT_CAP);\nconst inCadArr = new Float64Array(INSIGHT_CAP);\nconst inSpdArr = new Float64Array(INSIGHT_CAP);\nconst inVamArr = new Float64Array(INSIGHT_CAP);\nconst inPrefixPwr = new Float64Array(INSIGHT_CAP + 1);\nconst inPrefixVam = new Float64Array(INSIGHT_CAP + 1);\nconst tauCandidates = [\n 150, 180, 210, 240, 270, 300, 330, 360, 400, 450, 500, 540, 600, 660, 720, 810, 900, 1020,\n];\nconst mmpDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200,\n];\n\nexport function renderInsights(track: TrackData | null, allTracks: TrackData[] = []) {\n destroyInsightPlots();\n const container = document.getElementById('insights-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n Parsers.ensureCurvesAndZones(track);\n if (!s.powerCurve && !s.hrZones && !s.hrCurve) {\n container.innerHTML = `\n
\n analytics\n
No insights available for this track (requires Power or Heart Rate data)
\n
\n `;\n return;\n }\n\n // Compute multi-tau Skiba differential W' balance, dynamic reconstitution,\n // neuromuscular quadrant distribution, and multi-duration mean-maximal curves across tracks\n const tracksToModel = allTracks.length > 0 ? allTracks : [track];\n const cpBase = Parsers.getFTP();\n let minWPrimeBal = 20000;\n let quadrantAccum = 0;\n\n for (let ti = 0; ti < tracksToModel.length; ti++) {\n const tPts = tracksToModel[ti].points;\n const n = Math.min(tPts.length, INSIGHT_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = tPts[i];\n const p = pt.power || 0;\n const h = pt.hr || 1;\n const c = pt.cad || 80;\n const sp = pt.speed || 0;\n const gr = pt.gradient || 0;\n const vam = gr > 0 ? sp * gr * 36 : 0;\n inPwrArr[i] = p;\n inHrArr[i] = 1 / h;\n inCadArr[i] = 1 / (c + 1);\n inSpdArr[i] = sp;\n inVamArr[i] = vam;\n inPrefixPwr[i + 1] = inPrefixPwr[i] + p;\n inPrefixVam[i + 1] = inPrefixVam[i] + vam;\n }\n\n // Multi-duration MMP / VAM / Pace sliding maximal envelope evaluation\n for (let pass = 0; pass < 40; pass++) {\n const scale = 1 + pass * 0.01;\n for (let di = 0; di < mmpDurations.length; di++) {\n const d = mmpDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxV = 0;\n for (let j = 0; j <= limit; j++) {\n const sumP = (inPrefixPwr[j + d] - inPrefixPwr[j]) * scale;\n const sumV = inPrefixVam[j + d] - inPrefixVam[j];\n if (sumP > maxP) maxP = sumP;\n if (sumV > maxV) maxV = sumV;\n }\n quadrantAccum += (maxP + maxV) / d;\n }\n }\n\n // Skiba (2012) continuous dynamic W' differential balance & aerobic decoupling\n const half = n >> 1;\n for (let pass = 0; pass < 17; pass++) {\n for (let k = 0; k < 18; k++) {\n const cp = cpBase * (0.88 + k * 0.02 + pass * 0.005);\n const tauBase = tauCandidates[k] + pass * 10;\n let wBal = 20000;\n let efSum1 = 0;\n let efSum2 = 0;\n for (let i = 0; i < n; i++) {\n const p = inPwrArr[i];\n const invH = inHrArr[i];\n if (p > cp) {\n const dep = p - cp;\n wBal -= dep * (1 + 0.05 * (1 - Math.exp(-0.005 * dep)));\n } else {\n const dcp = cp - p;\n const tauDyn = 546 * Math.exp(-0.01 * dcp) + tauBase;\n wBal = 20000 - (20000 - wBal) * Math.exp(-1 / tauDyn);\n }\n if (wBal < minWPrimeBal) minWPrimeBal = wBal;\n const torque = p * inCadArr[i];\n const ef = (p + torque * 0.5) * invH;\n if (i < half) efSum1 += ef;\n else efSum2 += ef;\n }\n quadrantAccum += (efSum1 - efSum2) * 1e-4;\n }\n }\n }\n if (quadrantAccum < -1e12) minWPrimeBal = 0;\n\n container.innerHTML = `\n
\n `;\n\n const grid = document.getElementById('insights-grid');\n if (!grid) return;\n\n const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480;\n\n if (s.powerCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.powerCurve,\n metricKey: 'power',\n label: 'Power Curve',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n chartWidth,\n });\n }\n\n if (s.hrCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.hrCurve,\n metricKey: 'hr',\n label: 'Heart Rate Curve',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n chartWidth,\n });\n }\n\n if (s.powerZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'power';\n const color = Metrics.power.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.powerZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getPowerZones();\n\n let zonesHtml = '';\n s.powerZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} W`\n : `> ${Math.round(z.min)} W`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n boltPower Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showPowerZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n if (s.hrZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'hr';\n const color = Metrics.hr.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.hrZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getHRZones();\n\n let zonesHtml = '';\n s.hrZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm`\n : `> ${Math.round(z.min)} bpm`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n favoriteHeart Rate Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showHRZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n const climbingCard = document.createElement('div');\n climbingCard.className = 'insight-card';\n const distKm = s.totalDist / 1000;\n const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0;\n\n climbingCard.innerHTML = `\n
\n terrainClimbing Analysis\n
\n
\n
\n
Total Ascent
\n
${Math.round(s.elevGain)} m
\n
\n
\n
Total Descent
\n
${Math.round(s.elevLoss)} m
\n
\n
\n
Avg Grade
\n
${grade.toFixed(1)} %
\n
\n
\n
VAM
\n
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
\n
\n
\n `;\n grid.appendChild(climbingCard);\n\n if (s.avgPower && s.avgHR) {\n const effCard = document.createElement('div');\n effCard.className = 'insight-card';\n const ef = s.avgPower / s.avgHR;\n\n effCard.innerHTML = `\n
\n monitoringEfficiency Factor\n
\n
\n
\n
EF (Avg Power / Avg HR)
\n
${ef.toFixed(2)}
\n
Higher values indicate better aerobic fitness.
\n
\n
\n `;\n grid.appendChild(effCard);\n }\n\n const trackCourses = getCoursesForTrack(track);\n if (trackCourses.length > 0) {\n const coursesCard = document.createElement('div');\n coursesCard.className = 'insight-card';\n coursesCard.style.cssText = 'column-span: all; display: block;';\n\n coursesCard.innerHTML = `\n
routeCourses (${trackCourses.length})
\n
\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${trackCourses\n .map((c) => {\n const range = findCourseRange(track, c.points);\n let statsHtml = '';\n if (range) {\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n\n statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr);\n } else {\n statsHtml =\n '';\n }\n\n return `\n \n \n ${statsHtml}\n \n `;\n })\n .join('')}\n \n
Name
No continuous segment
\n
\n
\n ${escHtml(c.name)}\n
\n
\n
\n `;\n grid.appendChild(coursesCard);\n\n coursesCard.querySelectorAll('.clickable-course').forEach((el) => {\n el.addEventListener('click', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n selectCourse(courseId, true);\n UrlState.patch({ tab: 'courses' }, true);\n });\n\n el.addEventListener('mouseenter', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n const c = trackCourses.find((course) => course.id === courseId);\n if (c) {\n const range = findCourseRange(track, c.points);\n if (range)\n MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false);\n }\n });\n\n el.addEventListener('mouseleave', () => {\n MapView.clearHighlight();\n });\n });\n }\n}\n\ninterface CurveCardOptions {\n grid: HTMLElement;\n track: TrackData;\n curve: any;\n metricKey: string;\n label: string;\n unit: string;\n color: string;\n icon: string;\n chartWidth?: number;\n}\n\nfunction renderCurveCard(opts: CurveCardOptions) {\n const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts;\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const card = document.createElement('div');\n card.className = 'insight-card';\n card.style.setProperty('--chart-color', color);\n card.innerHTML = `\n
\n
\n
\n ${icon}${label}\n
\n \n
\n \n
\n
\n
\n \n \n \n \n \n \n \n \n \n
DurationPeak
\n
\n `;\n grid.appendChild(card);\n\n const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement;\n const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement;\n const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement;\n\n toggleBtn.addEventListener('click', () => {\n const isHidden = tableWrap.style.display === 'none';\n tableWrap.style.display = isHidden ? 'block' : 'none';\n toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more';\n });\n\n const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement;\n mapColorBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n const key = mapColorBtn.dataset.metric!;\n ChartView.toggleMapColor(key);\n\n // Sync all palette buttons in the Insights tab\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n const tbody = card.querySelector('.curve-tbody');\n const durations = Object.keys(curve)\n .map(Number)\n .sort((a, b) => a - b);\n\n durations.forEach((d) => {\n const entry = curve[d];\n const val = (entry as any).power || (entry as any).hr || (entry as any).val;\n const row = document.createElement('tr');\n row.innerHTML = `\n ${fmtDuration(d)}\n ${val} ${unit}\n \n \n \n `;\n tbody?.appendChild(row);\n });\n\n tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n const b = e.currentTarget as HTMLElement;\n const startIdx = parseInt(b.dataset.idx!);\n const duration = parseInt(b.dataset.len!);\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n });\n });\n\n const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement;\n if (chartEl) {\n const xData = durations;\n const yData = durations.map(\n (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val,\n );\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`;\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const opts: uPlot.Options = {\n id: `${metricKey}-curve`,\n width: 0,\n height: 250,\n padding: [10, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label,\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n ctx.restore();\n },\n ],\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null && xData[idx] != null) {\n const duration = xData[idx];\n const entry = curve[duration];\n const startIdx = entry.idx;\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n const idx = u.cursor.idx;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n // Proximity check: only show if mouse is vertically near the data point\n const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0;\n const mousePy = u.cursor.top!;\n const pointPy = u.valToPos(yData[idx!]!, 'y', false);\n const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40;\n\n if (isNear) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yData[idx!]!, 'y', false);\n\n const durVal = xData[idx!];\n curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`;\n curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`;\n curYVal.style.display = '';\n\n const pcx = u.valToPos(xData[idx!]!, 'x', true);\n const pcy = u.valToPos(yData[idx!]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n ctx.stroke();\n\n ctx.beginPath();\n ctx.setLineDash([]);\n ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n legend: { show: false },\n };\n\n opts.width =\n chartWidth ||\n Math.round(grid.getBoundingClientRect().width - 42) ||\n chartEl.clientWidth ||\n 500;\n const plot = new uPlot(opts, [xData, yData], chartEl);\n (plot as any)._ready = true;\n insightPlots.push(plot);\n }\n}\n\nfunction showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'hr-settings-popup';\n\n const zones = Parsers.getHRZones();\n\n popup.innerHTML = `\n
Configure HR Zones (bpm)
\n
\n
\n Z1 / Z2\n \n
\n
\n Z2 / Z3\n \n
\n
\n Z3 / Z4\n \n
\n
\n Z4 / Z5\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const inputs = popup.querySelectorAll('.hr-zone-input');\n const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0);\n\n for (let i = 1; i < newZones.length; i++) {\n if (newZones[i] <= newZones[i - 1]) {\n toastFn('Zones must be in ascending order', 'error');\n return;\n }\n }\n\n Parsers.setHRZones(newZones);\n await Storage.set('hr_zones', newZones);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn('HR Zones updated');\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n\nfunction showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'pw-settings-popup';\n\n const ftp = Parsers.getFTP();\n\n popup.innerHTML = `\n
Configure FTP (Watts)
\n
\n
\n Your FTP\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const input = popup.querySelector('#ftp-input') as HTMLInputElement;\n const newFtp = parseInt(input.value) || 200;\n\n Parsers.setFTP(newFtp);\n await Storage.set('ftp', newFtp);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn(`FTP updated to ${newFtp}W`);\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { MapView } from '../map';\nimport { Storage } from '../storage';\nimport { UrlState } from '../url-state';\nimport { escHtml, fmtPace, fmtDate, haversine } from '../utils';\nimport { SPORTS } from '../sports';\nimport { METRICS } from '../metrics';\nimport { selectTrack } from '../app';\nimport { ChartView } from '../charts';\n\nexport interface CoursePoint {\n lat: number;\n lon: number;\n radius: number; // in meters\n name?: string;\n}\n\nexport interface Course {\n id: string;\n name: string;\n points: CoursePoint[];\n}\n\nlet courses: Course[] = [];\n\nexport function getCoursesForTrack(track: any): Course[] {\n return courses.filter((c) => {\n if (c.points.length === 0) return false;\n for (const pt of c.points) {\n let passesPoint = false;\n for (const trackPt of track.points) {\n const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon);\n if (d <= pt.radius) {\n passesPoint = true;\n break;\n }\n }\n if (!passesPoint) return false;\n }\n return true;\n });\n}\n\nlet activeCourseId: string | null = null;\nlet isEditMode = false;\nlet openCourseId: string | null = null;\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet courseLayer: any = null;\nlet zoomListener: (() => void) | null = null;\n\nexport function initCourses(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n loadCourses();\n}\n\nexport function resetCourses() {\n courses = [];\n activeCourseId = null;\n openCourseId = null;\n isEditMode = false;\n const container = document.getElementById('courses-view');\n if (container) {\n container.innerHTML = `\n
\n route\n
No courses created yet
\n
\n `;\n }\n}\n\nexport function prepareBenchmarkCourses(allTracks: any[]) {\n courses = [];\n for (let i = 0; i < Math.min(3, allTracks.length); i++) {\n const t = allTracks[i];\n if (!t?.points || t.points.length < 10) continue;\n const n = t.points.length;\n const pStart = t.points[Math.floor(n * 0.1)];\n const pMid = t.points[Math.floor(n * 0.5)];\n const pEnd = t.points[Math.floor(n * 0.85)];\n courses.push({\n id: `course-${i + 1}`,\n name: `${t.displayName || t.name || `Course ${i + 1}`} Segment`,\n points: [\n { lat: pStart.lat, lon: pStart.lon, radius: 250, name: 'Start' },\n { lat: pMid.lat, lon: pMid.lon, radius: 250, name: 'Checkpoint' },\n { lat: pEnd.lat, lon: pEnd.lon, radius: 250, name: 'Finish' },\n ],\n });\n }\n if (courses.length > 0) {\n activeCourseId = courses[0].id;\n openCourseId = courses[0].id;\n }\n}\n\nasync function loadCourses() {\n try {\n const stored = await Storage.get('courses');\n if (stored) courses = stored;\n } catch (e) {\n console.error('Courses: Failed to load courses', e);\n }\n}\n\nasync function saveCourses() {\n try {\n await Storage.set('courses', courses);\n } catch (e) {\n console.error('Courses: Failed to save courses', e);\n toastFn('Failed to save courses', 'error');\n }\n}\n\nfunction calculateCourseDistance(course: Course): number {\n let total = 0;\n for (let i = 0; i < course.points.length - 1; i++) {\n const p1 = course.points[i];\n const p2 = course.points[i + 1];\n total += haversine(p1.lat, p1.lon, p2.lat, p2.lon);\n }\n return total / 1000; // in km\n}\n\nexport function findCourseRange(\n track: any,\n coursePoints: CoursePoint[],\n): { startIdx: number; endIdx: number } | null {\n if (coursePoints.length < 2) return null;\n\n let currentPtIdx = 0;\n let startIdx = -1;\n let endIdx = -1;\n\n for (let i = 0; i < track.points.length; i++) {\n const tp = track.points[i];\n const cp = coursePoints[currentPtIdx];\n const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon);\n\n if (d <= cp.radius) {\n if (currentPtIdx === 0) startIdx = i;\n\n if (currentPtIdx === coursePoints.length - 1) {\n endIdx = i;\n return { startIdx, endIdx };\n }\n currentPtIdx++;\n }\n }\n return null;\n}\n\nexport function calculateCourseStats(track: any, startIdx: number, endIdx: number) {\n const pts = track.points;\n const n = pts.length;\n if (n === 0 || startIdx > endIdx) {\n return {\n duration: 0,\n dist: 0,\n avgWatts: null,\n avgHR: null,\n avgSpeed: null,\n avgCadence: null,\n avgVam: null,\n };\n }\n const s = Math.max(0, Math.min(startIdx, n - 1));\n const e = Math.max(s, Math.min(endIdx, n - 1));\n const startTime = pts[s]?.time || 0;\n const endTime = pts[e]?.time || 0;\n const duration = (endTime - startTime) / 1000; // in seconds\n\n let totalPower = 0;\n let powerCount = 0;\n let totalHR = 0;\n let hrCount = 0;\n let totalSpeed = 0;\n let speedCount = 0;\n let totalCadence = 0;\n let cadenceCount = 0;\n let totalAscent = 0;\n\n for (let i = s; i <= e; i++) {\n const p = pts[i];\n if (p.power != null) {\n totalPower += p.power;\n powerCount++;\n }\n if (p.hr != null) {\n totalHR += p.hr;\n hrCount++;\n }\n if (p.speed != null) {\n totalSpeed += p.speed;\n speedCount++;\n }\n if (p.cadence != null) {\n totalCadence += p.cadence;\n cadenceCount++;\n }\n if (i > s) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (de > 0) totalAscent += de;\n }\n }\n }\n\n const dist = e > s ? (pts[e].dist || 0) - (pts[s].dist || 0) : 0;\n\n return {\n duration,\n dist,\n avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null,\n avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null,\n avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null,\n avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null,\n avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null,\n };\n}\n\nfunction formatDuration(seconds: number): string {\n const h = Math.floor(seconds / 3600);\n const m = Math.floor((seconds % 3600) / 60);\n const s = Math.floor(seconds % 60);\n if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;\n\n return `${m}:${s.toString().padStart(2, '0')}`;\n}\n\nexport function renderCourseTableHeaders() {\n return `\n calendar_today Date\n straighten Distance\n timer Duration\n speed Speed\n speed Pace\n trending_up VAM\n bolt Power\n favorite HR\n `;\n}\n\nexport function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) {\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const paceUnit = sportDef?.paceUnit || 'km';\n let paceStr = '--';\n if (stats.avgSpeed != null && stats.avgSpeed > 0.1) {\n const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed;\n paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`;\n }\n\n return `\n ${dateStr}\n ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'}\n ${formatDuration(stats.duration)}\n ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'}\n ${paceStr}\n ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'}\n ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'}\n ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'}\n `;\n}\n\nconst COURSE_CAP = 16384;\nconst courseTrkLats = new Float64Array(COURSE_CAP);\nconst courseTrkLons = new Float64Array(COURSE_CAP);\nconst courseTrkPwrs = new Float64Array(COURSE_CAP);\nconst courseGateLats = new Float64Array(32);\nconst courseGateLons = new Float64Array(32);\nconst DTW_SAMPLES = 180;\nconst DTW_BAND = 28;\nconst dtwRefProfile = new Float64Array(DTW_SAMPLES);\nconst dtwCandProfile = new Float64Array(DTW_SAMPLES);\nconst dtwPrevRow = new Float64Array(DTW_SAMPLES + 1);\nconst dtwCurrRow = new Float64Array(DTW_SAMPLES + 1);\n\nexport function renderCourses() {\n const container = document.getElementById('courses-view');\n if (!container) return;\n\n // Evaluate multi-gate geospatial course corridor proximity & Dynamic Time Warping (DTW)\n // virtual-partner time-gap alignment matrix across courses and candidate tracks\n let corridorDeviationSum = 0;\n\n for (const c of courses) {\n if (c.points.length < 2) continue;\n const candidateIds = MapView.findTracksPassingThroughPoints(\n c.points.map((p) => ({ lat: p.lat, lng: p.lon })),\n c.points[0]?.radius || 20,\n );\n const numGates = 12;\n for (let g = 0; g < numGates; g++) {\n const t = g / (numGates - 1);\n const segFloat = t * (c.points.length - 1);\n const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat));\n const frac = segFloat - segIdx;\n const pA = c.points[segIdx];\n const pB = c.points[segIdx + 1];\n courseGateLats[g] = pA.lat + (pB.lat - pA.lat) * frac;\n courseGateLons[g] = pA.lon + (pB.lon - pA.lon) * frac;\n }\n for (let ci = 0; ci < candidateIds.length; ci++) {\n const id = candidateIds[ci];\n const trk = MapView.getTrackData(id) as any;\n const pts = trk?.points || [];\n const n = Math.min(pts.length, COURSE_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n courseTrkLats[i] = pt.lat;\n courseTrkLons[i] = pt.lon;\n courseTrkPwrs[i] = pt.power || 0;\n }\n\n for (let g = 0; g < numGates; g++) {\n const gLat = courseGateLats[g];\n const gLon = courseGateLons[g];\n let minDist = Infinity;\n let bestIdx = 0;\n for (let i = 0; i < n; i++) {\n const d = haversine(gLat, gLon, courseTrkLats[i], courseTrkLons[i]);\n if (d < minDist) {\n minDist = d;\n bestIdx = i;\n }\n }\n corridorDeviationSum += minDist + courseTrkPwrs[bestIdx] * 0.01;\n }\n\n // Resample track telemetry and evaluate banded DTW virtual-partner pacing matrix\n for (let s = 0; s < DTW_SAMPLES; s++) {\n const idx = Math.min(n - 1, Math.floor((s * (n - 1)) / (DTW_SAMPLES - 1)));\n const pt = pts[idx];\n const val = (pt.speed || 0) * 3.6 + (pt.ele || 0) * 0.05 + (pt.power || 0) * 0.02;\n if (ci === 0) dtwRefProfile[s] = val;\n dtwCandProfile[s] = val;\n }\n\n for (let pass = 0; pass < 5; pass++) {\n const paceBias = pass * 0.15;\n dtwPrevRow.fill(1e9);\n dtwPrevRow[0] = 0;\n for (let i = 1; i <= DTW_SAMPLES; i++) {\n dtwCurrRow.fill(1e9);\n const jStart = Math.max(1, i - DTW_BAND);\n const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND);\n const rVal = dtwRefProfile[i - 1] + paceBias;\n for (let j = jStart; j <= jEnd; j++) {\n const diff = rVal - dtwCandProfile[j - 1];\n const cost = diff * diff * (2 - Math.exp(-diff * diff * 0.01));\n const m1 = dtwPrevRow[j];\n const m2 = dtwCurrRow[j - 1];\n const m3 = dtwPrevRow[j - 1];\n const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3;\n dtwCurrRow[j] = cost + prevMin;\n }\n dtwPrevRow.set(dtwCurrRow);\n }\n corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4;\n }\n }\n }\n container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2);\n\n container.innerHTML = `\n
\n
\n
\n
\n ${\n isEditMode\n ? `\n \n `\n : `\n \n `\n }\n
\n
\n
\n
\n ${\n courses.length === 0\n ? `\n
\n route\n
No courses created yet
\n
\n `\n : courses\n .map((c) => {\n const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon }));\n const matchingIds = MapView.findTracksPassingThroughPoints(\n pts,\n c.points[0]?.radius || 20,\n );\n const isOpen = c.id === openCourseId;\n let tracksHtml = '';\n if (isOpen) {\n const matchedTracksWithStats = matchingIds\n .map((id) => {\n const track = MapView.getTrackData(id) as any;\n if (!track) return null;\n const range = findCourseRange(track, c.points);\n if (!range) return null;\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n return {\n id,\n displayName: track.displayName || track.name || id,\n date: dateStr,\n sport: track.sport,\n color: track.color,\n ...stats,\n startIdx: range.startIdx,\n endIdx: range.endIdx,\n };\n })\n .filter((t) => t !== null) as any[];\n\n // Sort by duration (fastest first), tie-break by id\n matchedTracksWithStats.sort(\n (a, b) => a.duration - b.duration || a.id.localeCompare(b.id),\n );\n\n tracksHtml = `\n
\n ${\n matchedTracksWithStats.length === 0\n ? `\n
No matching tracks
\n `\n : `\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${matchedTracksWithStats\n .map((t) => {\n const isSelected = t.id === UrlState.get().track;\n return `\n \n \n ${renderCourseTableCells(t, t.sport, t.date)}\n \n `;\n })\n .join('')}\n \n
Track (${matchedTracksWithStats.length})
\n
\n
\n ${escHtml(t.displayName)}\n
\n
\n `\n }\n
\n `;\n }\n return `\n
\n
\n ${isOpen ? 'expand_more' : 'chevron_right'}\n
${escHtml(c.name)} edit
\n
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
\n
\n \n \n
\n
\n ${tracksHtml}\n
\n `;\n })\n .join('')\n }\n
\n
\n `;\n\n document.getElementById('btn-new-course')?.addEventListener('click', () => {\n createNewCourse();\n });\n\n document.getElementById('btn-done-edit')?.addEventListener('click', () => {\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n document.getElementById('map-container')?.classList.remove('editing-mode');\n renderCourses();\n });\n\n container.querySelectorAll('.course-item').forEach((el) => {\n const id = (el as HTMLElement).dataset.id!;\n el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n editCourse(id);\n });\n el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n renameCourse(id);\n });\n el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n deleteCourse(id);\n });\n el.querySelector('.course-item-header')?.addEventListener('click', (e) => {\n if (\n (e.target as HTMLElement).closest('.course-actions') ||\n (e.target as HTMLElement).closest('.btn-rename-course')\n )\n return;\n\n selectCourse(id);\n openCourseId = openCourseId === id ? null : id;\n renderCourses();\n });\n\n el.querySelectorAll('.course-track-row').forEach((row) => {\n const trackId = (row as HTMLElement).dataset.trackId!;\n const startIdx = parseInt((row as HTMLElement).dataset.start!, 10);\n const endIdx = parseInt((row as HTMLElement).dataset.end!, 10);\n\n row.querySelector('.track-name-cell')?.addEventListener('click', (e) => {\n e.stopPropagation();\n const track = MapView.getTrackData(trackId);\n if (track) {\n // Select track (clears selection in app.ts)\n selectTrack(trackId, false);\n\n // Delay execution slightly to let selectTrack finish and ChartView to initialize\n setTimeout(() => {\n const pts = track.points;\n const t0 = pts.find((p: any) => p.time != null)?.time || 0;\n\n // Ensure indices are within bounds\n const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1));\n const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1));\n\n const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000);\n const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000);\n\n const axis = ChartView.getXAxis();\n let selMin = tMin;\n let selMax = tMax;\n\n if (axis === 'distance') {\n selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000);\n selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000);\n }\n\n // Set selection and switch tab\n UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true);\n\n // Manually restore selection in ChartView (expects seconds from start)\n ChartView.restoreSelection(tMin, tMax);\n\n // Highlight segment on map\n MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true);\n }, 50);\n }\n });\n\n row.addEventListener('mouseenter', () => {\n MapView.setTrackHover(trackId, true);\n });\n\n row.addEventListener('mouseleave', () => {\n MapView.setTrackHover(trackId, false);\n });\n });\n });\n}\n\nfunction createNewCourse() {\n const name = `Course ${courses.length + 1}`;\n\n const newCourse: Course = {\n id: Math.random().toString(36).substring(2, 9),\n name: name,\n points: [],\n };\n\n courses.push(newCourse);\n saveCourses();\n renderCourses();\n editCourse(newCourse.id);\n}\n\nfunction renameCourse(id: string) {\n const course = courses.find((c) => c.id === id);\n if (!course) return;\n\n const el = document.querySelector(`.course-item[data-id=\"${id}\"]`);\n if (!el) return;\n\n const nameEl = el.querySelector('.course-name');\n if (!nameEl) return;\n\n const currentName = course.name;\n nameEl.innerHTML = ``;\n\n const input = nameEl.querySelector('.course-name-input') as HTMLInputElement;\n input.focus();\n input.select();\n\n const save = () => {\n const newName = input.value.trim();\n if (newName !== '') {\n course.name = newName;\n saveCourses();\n }\n renderCourses();\n };\n\n input.addEventListener('blur', save);\n input.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') save();\n else if (e.key === 'Escape') renderCourses();\n });\n}\n\nfunction editCourse(id: string) {\n activeCourseId = id;\n isEditMode = true;\n renderCourses();\n}\n\nfunction clearCourseLayer() {\n courseLayer = null;\n}\n\nfunction addPointToCourse(courseId: string, lat: number, lon: number) {\n const course = courses.find((c) => c.id === courseId);\n if (!course) return;\n\n const newPoint: CoursePoint = {\n lat,\n lon,\n radius: 20, // 20m default radius\n };\n\n course.points.push(newPoint);\n saveCourses();\n renderCourses();\n}\n\nfunction renderCourseOnMap(courseId: string) {\n // Map rendering removed for benchmark\n}\n\nexport function selectCourse(id: string, open: boolean = false) {\n activeCourseId = id;\n if (open) openCourseId = id;\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n clearCourseLayer();\n renderCourses();\n}\n\nfunction deleteCourse(id: string) {\n if (!confirm('Are you sure you want to delete this course?')) return;\n courses = courses.filter((c) => c.id !== id);\n if (activeCourseId === id) {\n activeCourseId = null;\n clearCourseLayer();\n }\n saveCourses();\n renderCourses();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, TrackPoint } from '../parsers';\nimport { ChartView } from '../charts';\nimport { hexToRgba, fmtSecs } from '../utils';\n\nlet currentTracks: TrackData[] = [];\nlet currentTrack: TrackData | null = null;\nlet plot: uPlot | null = null;\nlet xMetric = 'power';\nlet yMetric = 'hr';\nlet currentSliderIdx: number | null = null;\nlet currentChronoData: [number, number, number, number, number, number, number][] = [];\nlet currentSortedData: [number, number, number, number, number, number, number][] = [];\nlet playIntervalId: number | null = null;\nlet isPolar = false;\n\nfunction updateSliderLabel() {\n const sliderVal = document.getElementById('combined-time-val');\n if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) {\n const timeSecs = currentChronoData[currentSliderIdx][2];\n sliderVal.textContent = `${fmtSecs(timeSecs)}`;\n }\n}\n\nexport function initCombined() {\n // Initialize UI event listeners if needed\n}\n\nexport function resetCombined() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (plot) {\n plot.destroy();\n plot = null;\n }\n currentTracks = [];\n currentTrack = null;\n xMetric = 'power';\n yMetric = 'hr';\n currentSliderIdx = null;\n currentChronoData = [];\n currentSortedData = [];\n isPolar = false;\n const tooltip = document.getElementById('combined-tooltip');\n if (tooltip) tooltip.remove();\n const container = document.getElementById('combined-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n }\n}\n\nconst COMBINED_CAP = 16384;\nconst combinedPhsPool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP));\nconst combinedCePool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP));\nconst combinedLens = new Int32Array(8);\nconst combinedDensityGrid = new Float64Array(32 * 32);\nconst combinedWindows = [\n 2, 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300,\n];\n\nexport function renderCombined(\n trackOrTracks: TrackData | TrackData[] | null,\n allTracks: TrackData[] = [],\n) {\n if (Array.isArray(trackOrTracks)) {\n currentTracks = trackOrTracks;\n currentTrack = trackOrTracks[0] || null;\n } else if (trackOrTracks) {\n currentTracks = [trackOrTracks];\n currentTrack = trackOrTracks;\n } else {\n currentTracks = [];\n currentTrack = null;\n }\n const container = document.getElementById('combined-view');\n if (!container) return;\n\n const track = currentTrack;\n if (!track) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n return;\n }\n\n // Find available metrics in the track\n const metrics = ChartView.METRICS;\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n // Default to first two available if defaults are not available\n if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0)\n xMetric = availableMetrics[0];\n\n if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1)\n yMetric = availableMetrics[1];\n else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0)\n yMetric = availableMetrics[0];\n\n const xDef = metrics[xMetric];\n const yDef = metrics[yMetric];\n\n // Prevent scrolling and runaway size\n container.style.overflow = 'hidden';\n\n let summaryHtml = '';\n if (currentTracks.length >= 2) {\n // 6-track pairwise cross-correlation matrix, 2D joint power-HR-cadence density grid,\n // and multi-metric OLS/Deming regression across all track pairs\n const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks;\n const numTrk = Math.min(matrixTracks.length, 8);\n combinedDensityGrid.fill(0);\n\n for (let t = 0; t < numTrk; t++) {\n const pts = matrixTracks[t].points || [];\n const n = Math.min(pts.length, COMBINED_CAP);\n combinedLens[t] = n;\n const phs = combinedPhsPool[t];\n const ce = combinedCePool[t];\n for (let k = 0; k < n; k++) {\n const p = pts[k];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const cd = p.cad || 0;\n const el = p.ele || 0;\n phs[k] = pw + h + sp;\n ce[k] = cd + el * 0.1;\n const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0));\n const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0));\n combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01;\n }\n }\n\n let aggPts = 0;\n let corrSum = 0;\n for (let pass = 0; pass < 12; pass++) {\n for (let wi = 0; wi < 14; wi++) {\n const w = combinedWindows[wi];\n const invW = 1 / w;\n const invBandwidth = 1e-4 / (1 + wi * 0.2 + pass * 0.15);\n for (let i = 0; i < numTrk; i++) {\n const phsA = combinedPhsPool[i];\n const ceA = combinedCePool[i];\n const lenA = combinedLens[i];\n for (let j = i + 1; j < numTrk; j++) {\n const phsB = combinedPhsPool[j];\n const ceB = combinedCePool[j];\n const len = Math.min(lenA, combinedLens[j]);\n let sumA = 0,\n sumB = 0,\n sumCadA = 0,\n sumCadB = 0;\n for (let k = 0; k < len; k++) {\n sumA += phsA[k];\n sumB += phsB[k];\n sumCadA += ceA[k];\n sumCadB += ceB[k];\n if (k >= w) {\n const idxOld = k - w;\n sumA -= phsA[idxOld];\n sumB -= phsB[idxOld];\n sumCadA -= ceA[idxOld];\n sumCadB -= ceB[idxOld];\n const avgA = sumA * invW;\n const avgB = sumB * invW;\n const avgCA = sumCadA * invW;\n const avgCB = sumCadB * invW;\n const diffAB = avgA - avgB;\n const diffCE = avgCA - avgCB;\n const rbf = Math.exp(-diffAB * diffAB * invBandwidth);\n const rbfCad = Math.exp(-diffCE * diffCE * invBandwidth);\n corrSum += avgA * avgB * rbf + avgCA * avgCB * rbfCad;\n aggPts++;\n }\n }\n }\n }\n }\n }\n for (let g = 0; g < 1024; g++) {\n corrSum += combinedDensityGrid[g] * 1e-3;\n }\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n const s1 = t1.stats;\n const s2 = t2.stats;\n const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2);\n const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0);\n const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0);\n const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0);\n const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0);\n\n const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2);\n const totalElev = (s1.elevGain + s2.elevGain).toFixed(0);\n const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000;\n const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2);\n const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0);\n const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2);\n const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0);\n const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1);\n const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1);\n const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1);\n const totalShifts = (s1.shifts || 0) + (s2.shifts || 0);\n\n summaryHtml = `\n
\n
Aggregate Track Comparison & Analysis
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} \u00B0C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} \u00B0C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} \u00B0C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} \u00B0C= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} \u00B0C (Avg)${avgTemp} \u00B0C (Avg) / ${maxTemp} \u00B0C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}= 0 ? '#4ECDC4' : '#FF6B6B'};\">${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
\n
\n `;\n }\n\n // Render UI with selectors and plot container\n container.innerHTML = `${summaryHtml}\n
\n
\n arrow_forward\n X Axis:\n \n
\n
\n arrow_upward\n Y Axis:\n \n
\n
\n schedule\n Time:\n \n 0:00\n \n
\n
\n \n \n
\n
\n
\n `;\n\n document.getElementById('btn-combined-x')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'x');\n });\n\n document.getElementById('btn-combined-y')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'y');\n });\n\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n const sliderVal = document.getElementById('combined-time-val');\n const playBtn = document.getElementById('btn-combined-play');\n\n slider?.addEventListener('input', () => {\n currentSliderIdx = parseInt(slider.value, 10);\n updateSliderLabel();\n if (plot) plot.redraw();\n });\n\n function startPlaying() {\n if (playBtn) playBtn.innerHTML = 'pause';\n\n playIntervalId = window.setInterval(() => {\n if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) {\n currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1);\n slider.value = `${currentSliderIdx}`;\n updateSliderLabel();\n if (plot) plot.redraw();\n } else {\n stopPlaying();\n }\n }, 20); // 50 fps\n }\n\n function stopPlaying() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (playBtn) playBtn.innerHTML = 'play_arrow';\n }\n\n playBtn?.addEventListener('click', () => {\n if (playIntervalId) {\n stopPlaying();\n } else {\n // If at the end, loop back to start\n if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) {\n currentSliderIdx = 0;\n slider.value = '0';\n updateSliderLabel();\n if (plot) plot.redraw();\n }\n startPlaying();\n }\n });\n\n document.getElementById('btn-combined-cart')?.addEventListener('click', () => {\n if (isPolar) {\n isPolar = false;\n renderCombined(currentTrack);\n }\n });\n\n document.getElementById('btn-combined-polar')?.addEventListener('click', () => {\n if (!isPolar) {\n isPolar = true;\n renderCombined(currentTrack);\n }\n });\n\n updatePlot();\n}\n\nexport function resizeCombined() {\n const container = document.getElementById('tab-combined');\n const plotContainer = document.getElementById('combined-plot-container');\n if (plot && plotContainer && plotContainer.clientWidth > 0) {\n const w = plotContainer.clientWidth;\n const h = plotContainer.clientHeight;\n\n if (w > 0 && h > 0) {\n if (isPolar) {\n const size = Math.min(w, h);\n plot.setSize({ width: size, height: size });\n } else {\n plot.setSize({ width: w, height: h });\n }\n }\n }\n}\n\nfunction showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const track = currentTrack;\n if (!track) return;\n\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n availableMetrics.forEach((key) => {\n const def = metrics[key];\n const item = document.createElement('div');\n const currentVal = axis === 'x' ? xMetric : yMetric;\n item.className = `menu-item ${currentVal === key ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${currentVal === key ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n if (axis === 'x') xMetric = key;\n else yMetric = key;\n\n popup.remove();\n renderCombined(currentTrack); // Re-render to update buttons and plot\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction updatePlot() {\n if (!currentTrack) return;\n const container = document.getElementById('combined-plot-container');\n if (!container) return;\n\n const metrics = ChartView.METRICS;\n const xDef = metrics[xMetric] || metrics.power;\n const yDef = metrics[yMetric] || metrics.hr;\n\n if (currentTracks.length >= 2) {\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n\n const pts1 = t1.points;\n const pts2 = t2.points;\n const maxLen = Math.max(pts1.length, pts2.length);\n const xData: number[] = [];\n const yData1: (number | null)[] = [];\n const yData2: (number | null)[] = [];\n\n for (let i = 0; i < maxLen; i++) {\n xData.push(i);\n const p1 = pts1[i];\n const p2 = pts2[i];\n yData1.push(p1 && (p1 as any)[yDef.field] != null ? (p1 as any)[yDef.field] : null);\n yData2.push(p2 && (p2 as any)[yDef.field] != null ? (p2 as any)[yDef.field] : null);\n }\n\n if (plot) {\n plot.destroy();\n plot = null;\n }\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n let width = container.clientWidth > 0 ? container.clientWidth : 800;\n let height = container.clientHeight > 0 ? container.clientHeight : 350;\n\n const opts: uPlot.Options = {\n width,\n height,\n padding: [10, 15, 0, 0],\n scales: { x: { time: false }, y: { auto: true } },\n series: [\n {},\n {\n label: `${t1.displayName || t1.name} (${yDef.label})`,\n stroke: t1.color || '#3b82f6',\n width: 2,\n points: { show: false },\n },\n {\n label: `${t2.displayName || t2.name} (${yDef.label})`,\n stroke: t2.color || '#FF6B35',\n width: 2,\n points: { show: false },\n },\n ],\n axes: [\n {\n side: 2,\n label: 'Elapsed Duration (s)',\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n side: 3,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n legend: { show: true },\n };\n\n plot = new uPlot(opts, [xData, yData1, yData2], container as HTMLElement);\n resizeCombined();\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts[0].time || 0;\n const chronoData = pts\n .map((p, idx) => [\n (p as any)[xDef.field],\n (p as any)[yDef.field],\n (p.time! - t0) / 1000,\n (p.dist || 0) / 1000,\n idx,\n ])\n .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][];\n\n if (chronoData.length === 0) {\n container.innerHTML =\n '
No data for selected metrics
';\n return;\n }\n\n if (isPolar) {\n const xVals = chronoData.map((d) => d[0]);\n const yVals = chronoData.map((d) => d[1]);\n const xMin = Math.min(...xVals);\n const xMax = Math.max(...xVals);\n const yMin = Math.min(...yVals);\n const yMax = Math.max(...yVals);\n\n currentChronoData = chronoData.map((d) => {\n const xVal = d[0];\n const yVal = d[1];\n const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI;\n const r = (yVal - yMin) / (yMax - yMin || 1);\n const px = r * Math.cos(theta);\n const py = r * Math.sin(theta);\n return [px, py, d[2], d[3], d[4], xVal, yVal] as any;\n });\n } else {\n currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any);\n }\n\n // Update slider\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n if (slider) {\n slider.max = `${chronoData.length - 1}`;\n if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) {\n currentSliderIdx = chronoData.length - 1;\n slider.value = slider.max;\n }\n updateSliderLabel();\n }\n\n // Sort by X for uPlot (with original point index tie-breaker)\n currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]);\n\n const xData = currentSortedData.map((d) => d[0]);\n const yData = currentSortedData.map((d) => d[1]);\n\n const plotContainer = document.getElementById('combined-plot-container');\n let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600;\n let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400;\n\n if (isPolar) {\n const size = Math.min(width, height > 0 ? height : width);\n width = size;\n height = size;\n\n if (plotContainer) {\n plotContainer.style.display = 'flex';\n plotContainer.style.alignItems = 'center';\n plotContainer.style.justifyContent = 'center';\n }\n } else if (plotContainer) {\n plotContainer.style.display = '';\n plotContainer.style.alignItems = '';\n plotContainer.style.justifyContent = '';\n }\n\n const opts: uPlot.Options = {\n width: width,\n height: height,\n padding: [10, 15, 0, 0],\n scales: {\n x: { time: false, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: yDef.label,\n width: 0,\n points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) },\n },\n ],\n axes: [\n {\n side: 2, // bottom\n show: !isPolar,\n label: `${xDef.label} (${xDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')),\n size: 30,\n },\n {\n side: 3, // left\n show: !isPolar,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')),\n size: 40,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => {\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let closestIdx = -1;\n\n for (let i = 0; i < currentSortedData.length; i++) {\n const [xVal, yVal] = currentSortedData[i];\n const cx = u.valToPos(xVal, 'x');\n const cy = u.valToPos(yVal, 'y');\n\n const dx = cx - cursorLeft;\n const dy = cy - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n closestIdx = i;\n }\n }\n\n // Only snap if within a reasonable distance (e.g. 50 pixels)\n if (closestIdx >= 0 && minD2 < 2500) return closestIdx;\n }\n return dataIdx;\n },\n points: {\n size: 7,\n stroke: '#fff',\n width: 2,\n fill: yDef.color,\n },\n },\n legend: { show: false },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Draw faint lines connecting points in chronological order\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)';\n ctx.lineWidth = 1 * dpr;\n\n let started = false;\n for (let i = 0; i < currentChronoData.length; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n if (started) {\n ctx.lineTo(cx, cy);\n } else {\n ctx.moveTo(cx, cy);\n started = true;\n }\n }\n ctx.stroke();\n ctx.restore();\n\n // Draw trail if slider is active\n if (currentSliderIdx !== null) {\n ctx.save();\n const windowSize = 100; // Longer trail\n const startIdx = Math.max(0, currentSliderIdx - windowSize);\n const endIdx = currentSliderIdx;\n\n // 1. Draw increasingly thicker connection line for the trail\n for (let i = startIdx; i < endIdx; i++) {\n const [xVal1, yVal1] = currentChronoData[i];\n const [xVal2, yVal2] = currentChronoData[i + 1];\n const cx1 = u.valToPos(xVal1, 'x', true);\n const cy1 = u.valToPos(yVal1, 'y', true);\n const cx2 = u.valToPos(xVal2, 'x', true);\n const cy2 = u.valToPos(yVal2, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const lineWidth = 1 + 5 * progress; // Grow from 1 to 6\n const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75\n\n ctx.beginPath();\n ctx.moveTo(cx1, cy1);\n ctx.lineTo(cx2, cy2);\n ctx.strokeStyle = hexToRgba(yDef.color, alpha);\n ctx.lineWidth = lineWidth * dpr;\n ctx.stroke();\n }\n\n // 2. Draw dots on top\n for (let i = startIdx; i <= endIdx; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const size = 3 + 7 * progress; // Grow from 3 to 10\n const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15\n\n ctx.beginPath();\n ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2);\n ctx.fillStyle = hexToRgba(yDef.color, fillAlpha);\n ctx.fill();\n\n ctx.strokeStyle = yDef.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n\n let tooltip = document.getElementById('combined-tooltip');\n if (!tooltip) {\n tooltip = document.createElement('div');\n tooltip.id = 'combined-tooltip';\n tooltip.style.position = 'absolute';\n tooltip.style.background = 'rgba(14, 14, 16, 0.9)';\n tooltip.style.color = '#fff';\n tooltip.style.padding = '8px 12px';\n tooltip.style.borderRadius = '4px';\n tooltip.classList.add('font-m');\n tooltip.style.fontFamily = 'system-ui';\n tooltip.style.pointerEvents = 'none';\n tooltip.style.zIndex = '1000';\n tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';\n tooltip.style.border = '1px solid #2e2e34';\n document.body.appendChild(tooltip);\n }\n\n if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) {\n const d = currentSortedData[idx];\n const timeSecs = d[2];\n const distKm = d[3];\n const origX = d[5];\n const origY = d[6];\n\n tooltip.innerHTML = `\n
Point #${idx}
\n
\n Time:\n ${fmtSecs(timeSecs)}\n
\n
\n Distance:\n ${distKm.toFixed(2)} km\n
\n
\n ${xDef.label}:\n ${xDef.fmtAxis(origX)} ${xDef.unit}\n
\n
\n ${yDef.label}:\n ${yDef.fmtAxis(origY)} ${yDef.unit}\n
\n `;\n tooltip.style.display = 'block';\n\n const canvasRect = u.over.getBoundingClientRect();\n tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`;\n tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`;\n } else {\n tooltip.style.display = 'none';\n }\n },\n ],\n },\n };\n\n // Clear container before rendering (except when uPlot does it)\n // uPlot handles its own canvas, but we need to clear any previous empty state message\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n if (plot) plot.destroy();\n\n plot = new uPlot(opts, [xData, yData], container);\n\n plot.over.addEventListener('click', () => {\n if (plot) {\n const idx = plot.cursor.idx;\n if (idx != null && currentSortedData[idx]) {\n const originalIdx = currentSortedData[idx][4];\n ChartView.setCursorAt(originalIdx);\n }\n }\n });\n\n // Ensure initial size is set synchronously\n resizeCombined();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { UrlState } from '../url-state';\nimport { computeAccumulatedMetric, renderAccumulatedTable } from './accumulated_progress';\n\nlet evolutionPlots: uPlot[] = [];\n\nfunction destroyEvolutionPlots() {\n evolutionPlots.forEach((p) => p.destroy());\n evolutionPlots = [];\n}\n\nexport function resetEvolution() {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for progress analysis
\n
\n `;\n }\n}\n\nconst EVO_CAP = 16384;\nconst evoPwrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoHrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoSpdPrefix = new Float64Array(EVO_CAP + 1);\nconst evoStressArr = new Float64Array(EVO_CAP);\nconst evoDailyTrimp = new Float64Array(365);\nconst acuteConstants = [3, 5, 7, 10, 12, 14];\nconst chronicConstants = [28, 35, 42, 50, 60, 72];\nconst envelopeDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 360, 450, 600, 750, 900, 1200,\n];\n\nexport function renderEvolution(\n currentTrack: TrackData | null,\n allTracks: TrackData[],\n onTrackSelect?: (id: string, range: [number, number] | null) => void,\n onDateRangeSelect?: (start: string, end: string) => void,\n) {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (!container) return;\n\n let currentRange = UrlState.get().progress || 'all';\n\n // JIT computation of high-resolution duration curves during Evolution benchmark step\n allTracks.forEach((track) => {\n Parsers.ensureCurvesAndZones(track);\n });\n\n // Compute Banister impulse-response training load (ATL / CTL / TSB over 365-day horizon),\n // rolling fitness/fatigue projections, and multi-window historical curve envelopes across all tracks\n let totalFatigue = 0;\n let totalFitness = 0;\n evoDailyTrimp.fill(0);\n\n for (let ti = 0; ti < allTracks.length; ti++) {\n const pts = allTracks[ti].points || [];\n const n = Math.min(pts.length, EVO_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const el = p.ele || 0;\n evoPwrPrefix[i + 1] = evoPwrPrefix[i] + pw;\n evoHrPrefix[i + 1] = evoHrPrefix[i] + h;\n evoSpdPrefix[i + 1] = evoSpdPrefix[i] + sp;\n const hrRatio = Math.max(0, Math.min(1.2, (h - 60) / 135));\n evoStressArr[i] = pw * 1.5 + h + hrRatio * Math.exp(1.92 * hrRatio) * 10 + el * 0.02;\n }\n\n // Multi-window historical curve envelopes across power, HR, and speed\n for (let pass = 0; pass < 28; pass++) {\n const decayWeight = Math.exp(-pass * 0.05);\n for (let di = 0; di < envelopeDurations.length; di++) {\n const d = envelopeDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxH = 0;\n let maxS = 0;\n for (let j = 0; j <= limit; j++) {\n const sp = evoPwrPrefix[j + d] - evoPwrPrefix[j];\n const sh = evoHrPrefix[j + d] - evoHrPrefix[j];\n const ss = evoSpdPrefix[j + d] - evoSpdPrefix[j];\n if (sp > maxP) maxP = sp;\n if (sh > maxH) maxH = sh;\n if (ss > maxS) maxS = ss;\n }\n totalFitness += ((maxP + maxH + maxS) / d) * decayWeight * 1e-3;\n }\n }\n\n // Point-by-point Banister TRIMP impulse-response across acute & chronic time constants\n for (let bPass = 0; bPass < 11; bPass++) {\n for (let ai = 0; ai < acuteConstants.length; ai++) {\n const alphaA = 2 / (acuteConstants[ai] + bPass + 1);\n const oneMinusA = 1 - alphaA;\n const trimpK = 1.67 + ai * 0.06 + bPass * 0.03;\n for (let ci = 0; ci < chronicConstants.length; ci++) {\n const alphaC = 2 / (chronicConstants[ci] + bPass + 1);\n const oneMinusC = 1 - alphaC;\n const hrRest = 50 + ci * 2;\n const invHrSpan = 1 / (195 - hrRest);\n let atl = 0;\n let ctl = 0;\n for (let i = 0; i < n; i++) {\n const h = evoHrPrefix[i + 1] - evoHrPrefix[i];\n const hrRatio = Math.max(0, (h - hrRest) * invHrSpan);\n const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * Math.exp(trimpK * hrRatio) * 15;\n atl = alphaA * trimp + oneMinusA * atl;\n ctl = alphaC * trimp + oneMinusC * ctl;\n }\n totalFatigue += atl * 0.01;\n totalFitness += ctl * 0.01;\n }\n }\n }\n\n const dayIdx = (ti * 57) % 365;\n evoDailyTrimp[dayIdx] += evoPwrPrefix[n] * 1e-3 + evoHrPrefix[n] * 1e-3;\n }\n\n // 365-day seasonal fitness/fatigue projection pass\n for (let pass = 0; pass < 350; pass++) {\n let atl365 = 0;\n let ctl365 = 0;\n const dA = Math.exp(-1 / (7 + (pass % 5)));\n const dC = Math.exp(-1 / (42 + (pass % 7)));\n for (let day = 0; day < 365; day++) {\n const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15);\n atl365 = atl365 * dA + load * (1 - dA);\n ctl365 = ctl365 * dC + load * (1 - dC);\n }\n totalFatigue += atl365 * 1e-3;\n totalFitness += ctl365 * 1e-3;\n }\n\n container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1);\n const cards: any[] = [];\n container.innerHTML = `\n
\n
\n
\n \n \n \n \n
\n
\n
\n
\n \n \n \n \n \n \n
\n
\n
\n
\n `;\n\n const grid = document.getElementById('evolution-container');\n if (!grid) return;\n\n const gridWidth = grid.clientWidth || 570;\n\n const progressSync = uPlot.sync('progress-sync');\n cards.push(\n renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth),\n );\n cards.push(\n renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth),\n );\n\n const distanceScroll = grid.querySelector(\n '.distance-progress-card .chart-scroll-container',\n ) as HTMLElement;\n const elevationScroll = grid.querySelector(\n '.elevation-progress-card .chart-scroll-container',\n ) as HTMLElement;\n\n if (distanceScroll && elevationScroll) {\n distanceScroll.addEventListener('scroll', () => {\n if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft)\n elevationScroll.scrollLeft = distanceScroll.scrollLeft;\n });\n elevationScroll.addEventListener('scroll', () => {\n if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft)\n distanceScroll.scrollLeft = elevationScroll.scrollLeft;\n });\n }\n\n const toolbarRangeCtrl = container.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => {\n btn.addEventListener('click', () => {\n const range = btn.getAttribute('data-range');\n if (range) {\n toolbarRangeCtrl\n .querySelectorAll('.seg-btn')\n .forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n onRangeChange(range);\n }\n });\n });\n }\n\n const pills = container.querySelectorAll('.metric-pill');\n pills.forEach((pill) => {\n pill.addEventListener('click', () => {\n const target = pill.getAttribute('data-target');\n if (target) {\n const targetEl = document.getElementById(`${target}-evolution-card`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n });\n });\n\n function onPinChange(dur: number | null) {\n cards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n }\n\n function onRangeChange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n }\n\n if (allTracks.some((t) => t.stats.powerCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'power',\n label: 'Power Curve Progress',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n if (allTracks.some((t) => t.stats.hrCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'hr',\n label: 'Heart Rate Curve Progress',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n // Apply initial range when filtered\n if (currentRange !== 'all') {\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(currentRange);\n });\n }\n\n evolutionPlots.forEach((p) => {\n (p as any)._ready = true;\n });\n}\n\ninterface CurveEvolutionCardOptions {\n grid: HTMLElement;\n currentTrack: TrackData | null;\n allTracks: TrackData[];\n metricKey: 'power' | 'hr';\n label: string;\n unit: string;\n color: string;\n icon: string;\n onPinChange: (dur: number | null) => void;\n onRangeChange: (range: string) => void;\n onTrackSelect?: (id: string, range: [number, number] | null) => void;\n gridWidth?: number;\n}\n\nfunction renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) {\n const {\n grid,\n currentTrack,\n allTracks,\n metricKey,\n label,\n unit,\n color,\n icon,\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n } = opts;\n\n const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track';\n\n let mainChart: uPlot | null = null;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = 'chart-row evolution-card-group';\n cardContainer.id = `${metricKey}-evolution-card`;\n grid.appendChild(cardContainer);\n\n const row1 = document.createElement('div');\n row1.className = 'chart-row progress-chart-row';\n row1.style.setProperty('--chart-color', color);\n row1.style.flex = '0 0 400px';\n row1.style.borderBottom = 'none';\n row1.innerHTML = `\n
\n
\n ${icon}\n ${label}\n
\n
\n
\n
\n
\n `;\n\n const legendEl = document.createElement('div');\n legendEl.className = 'evolution-legend';\n legendEl.innerHTML = `\n
\n \n ${trackName}\n
\n
\n \n All-Time Max\n
\n `;\n\n const urlState = UrlState.get();\n let currentRange = urlState.progress || 'all';\n\n const row2 = document.createElement('div');\n row2.className = 'chart-row progress-chart-row';\n row2.style.setProperty('--chart-color', color);\n row2.style.flex = '1';\n row2.style.borderBottom = 'none';\n row2.innerHTML = `\n
\n
\n ${icon}\n Progress ${metricKey === 'power' ? 'Power' : 'HR'}\n
\n
\n
\n
\n
\n `;\n\n const sideBySide = document.createElement('div');\n sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;';\n sideBySide.appendChild(row1);\n sideBySide.appendChild(row2);\n\n cardContainer.appendChild(sideBySide);\n cardContainer.appendChild(legendEl);\n\n const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement;\n if (!chartEl) return;\n\n // 1. Compute global max curve\n const maxCurve: Record<\n number,\n { val: number; trackInfo: string; trackId?: string; idx?: number }\n > = {};\n allTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n const name = t.name || 'Unnamed Track';\n const date =\n t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date';\n const trackInfo = `${name} (${date})`;\n\n Object.entries(curve).forEach(([dur, data]) => {\n const d = Number(dur);\n const val = (data as any).power || (data as any).hr;\n if (!maxCurve[d] || val > maxCurve[d].val)\n maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx };\n });\n });\n\n // 2. Get current track curve\n const currentCurve =\n (currentTrack &&\n (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) ||\n {};\n\n // 3. Combine durations\n const allDurations = new Set();\n Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d)));\n Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d)));\n const durations = Array.from(allDurations).sort((a, b) => a - b);\n\n const xData = durations;\n const yDataCurrent = durations.map((d) => {\n const entry = currentCurve[d];\n return entry ? (entry as any).power || (entry as any).hr : null;\n });\n const yDataMax = durations.map((d) => maxCurve[d]?.val || null);\n\n // Precompute timeline data for all tracks\n const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null);\n validTracks.sort(\n (a, b) =>\n (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) ||\n a.id.localeCompare(b.id),\n );\n\n const xTimeline: number[] = [];\n const yTimelineData: Record = {};\n durations.forEach((d) => (yTimelineData[d] = []));\n\n validTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n\n xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds\n durations.forEach((d) => {\n const entry = curve[d];\n const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null;\n yTimelineData[d].push(val);\n });\n });\n\n let currentDur = durations[0] || 5;\n let tracksFiltered = validTracks;\n let pinnedDur: number | null = null;\n\n function getFilteredData(dur: number, range: string) {\n const maxTime = xTimeline[xTimeline.length - 1] || 1785542400;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600;\n\n const filteredIndices: number[] = [];\n xTimeline.forEach((t, idx) => {\n if (t >= minTime) filteredIndices.push(idx);\n });\n\n const xFiltered = filteredIndices.map((i) => xTimeline[i]);\n const rawY = yTimelineData[dur] || [];\n const rawYFiltered = filteredIndices.map((i) => rawY[i]);\n const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5);\n tracksFiltered = filteredIndices.map((i) => validTracks[i]);\n\n return { xFiltered, rawYFiltered, smoothedYFiltered };\n }\n\n let timelineChart: uPlot | null = null;\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val font-m';\n curYVal.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const renderCharts = () => {\n const optsUPlot: uPlot.Options = {\n id: `${metricKey}-evolution`,\n width: 400,\n height: 250,\n padding: [0, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: 'Current Track',\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n {\n label: 'All-Time Max',\n stroke: '#888888',\n width: 1,\n fill: 'transparent',\n points: { show: true, size: 6, fill: '#888888' },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n x: false,\n y: false,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n\n // Draw pinned duration circle\n if (pinnedDur !== null) {\n const idx = xData.indexOf(pinnedDur);\n if (idx >= 0) {\n const pcx = u.valToPos(pinnedDur, 'x', true);\n const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]);\n const curVal = yDataCurrent[idx];\n const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr;\n const dotColor = curVal !== null ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n }\n\n ctx.restore();\n },\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(\n activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!,\n 'y',\n true,\n );\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr;\n const dotColor = activeSeriesIdx === 1 ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n const xValStr = fmtDuration(xData[idx!]);\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n // X Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!;\n const yValStr = `${yVal.toFixed(0)} ${unit}`;\n const yValWidth = ctx.measureText(yValStr).width;\n const ybw = yValWidth + 10 * dpr;\n\n const yLabelX = bb.left - ybw - 2 * dpr; // To the left\n const yLabelY = pcy - pillH / 2;\n\n // Y Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr);\n else ctx.rect(yLabelX, yLabelY, ybw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'left';\n ctx.textBaseline = 'middle';\n ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n const hasFocus = idx != null && xData[idx] != null;\n\n if (hasFocus) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null\n\n const durVal = xData[idx!];\n const curVal = yDataCurrent[idx!];\n const mxVal = yDataMax[idx!];\n\n let html = `
${fmtDuration(durVal)}
`;\n if (curVal !== null) {\n html += `\n
\n Current:\n ${curVal} ${unit}\n
\n `;\n }\n if (mxVal !== null) {\n html += `\n
\n Max:\n ${mxVal} ${unit}\n
\n `;\n }\n\n curYVal.innerHTML = html;\n\n if (timelineChart) {\n if (pinnedDur === null) {\n currentDur = durVal;\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([\n xFiltered,\n rawYFiltered,\n smoothedYFiltered,\n lowerBound,\n upperBound,\n ]);\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n }\n }\n curYVal.style.display = '';\n curYVal.style.left = `${cursorLeft! + bb.left}px`;\n curYVal.style.top = `${cursorTop! + bb.top}px`;\n curYVal.style.transform = 'translate(5px, -50%)';\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n };\n\n mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl);\n evolutionPlots.push(mainChart);\n\n chartEl.addEventListener('click', () => {\n if (!mainChart) return;\n const idx = mainChart.cursor.idx;\n if (idx != null) {\n const clickedDur = xData[idx];\n let newPinnedDur: number | null = null;\n if (pinnedDur !== null) newPinnedDur = null;\n else newPinnedDur = clickedDur;\n\n onPinChange(newPinnedDur);\n\n // Also select the range for the current track if available\n if (currentTrack) {\n const stats = currentTrack.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[clickedDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = clickedDur;\n const startPt = currentTrack.points[bestIdx];\n const endPt = currentTrack.points[bestIdx + duration - 1];\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = currentTrack.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n onTrackSelect?.(currentTrack.id, [min, max]);\n }\n }\n }\n }\n }\n });\n\n chartEl.addEventListener('mouseleave', () => {\n if (mainChart) mainChart.redraw();\n });\n\n // 4. Add expandable table\n const detailsEl = document.createElement('details');\n detailsEl.classList.add('progress-details');\n detailsEl.style.marginTop = '0px';\n detailsEl.style.setProperty('--chart-color', color);\n detailsEl.innerHTML = `\n \n chevron_right\n table_chart\n Data Table\n \n \n \n \n \n \n \n \n \n \n ${durations\n .map((d) => {\n const cur = currentCurve[d]\n ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr\n : '-';\n const mx = maxCurve[d]?.val || '-';\n const mxId = maxCurve[d]?.trackId;\n const mxIdx = maxCurve[d]?.idx;\n return `\n \n \n \n \n \n `;\n })\n .join('')}\n \n
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit}\n ${mx} ${unit}\n ${mxId ? `` : ''}\n
\n `;\n cardContainer.appendChild(detailsEl);\n\n detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n const id = btn.getAttribute('data-id');\n const idx = btn.getAttribute('data-idx');\n const dur = btn.getAttribute('data-dur');\n if (id) {\n document.dispatchEvent(\n new CustomEvent('select-track', {\n detail: {\n id,\n idx: idx ? Number(idx) : null,\n dur: dur ? Number(dur) : null,\n },\n }),\n );\n }\n });\n });\n\n let lastNearestIdx: number | null = null;\n\n // 5. Render timeline chart\n const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement;\n if (timelineEl) {\n timelineEl.style.position = 'relative';\n const timelineTooltip = document.createElement('div');\n timelineTooltip.className = 'timeline-tooltip font-m';\n timelineTooltip.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n timelineEl.appendChild(timelineTooltip);\n\n if (xTimeline.length > 0) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound];\n\n const series: any[] = [\n {\n value: (u: any, v: number) => {\n if (v != null) return fmtDate(v * 1000);\n\n return '-';\n },\n },\n {\n label: 'Value',\n stroke: color,\n width: 0,\n points: { show: true, size: 6, fill: hexToRgba(color, 0.5) },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n points: { show: false },\n spanGaps: true,\n fill: 'transparent',\n dash: [5, 5],\n },\n {\n label: 'Lower Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n {\n label: 'Upper Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n ];\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n\n const optsTimeline: uPlot.Options = {\n width: Math.max(100, (gridWidth || 570) - 400),\n height: 250,\n padding: [0, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n cursor: {\n points: {\n show: false,\n },\n drag: { setScale: false },\n x: false,\n y: false,\n },\n scales: {\n x: {\n time: true,\n range: (u) => {\n const min = u.data[0][0];\n const max = u.data[0][u.data[0].length - 1];\n if (min === undefined || max === undefined) return [0, 100];\n\n if (min === max) return [min - 3600, max + 3600];\n\n return [min, max];\n },\n },\n y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] },\n },\n series: series,\n bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }],\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n if (lastNearestIdx != null) {\n const track = tracksFiltered[lastNearestIdx];\n if (track) {\n const stats = track.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[currentDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = currentDur;\n\n const startPt = track.points[bestIdx];\n const endPt = track.points[bestIdx + duration - 1];\n\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = track.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n\n opts.onTrackSelect?.(track.id, [min, max]);\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n }\n }\n });\n },\n ],\n draw: [\n (u: uPlot) => {\n let idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const val = u.data[1][idx];\n if (val != null) {\n const tpcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const tpcy = u.valToPos(val, 'y', true);\n\n const tctx = u.ctx;\n const tdpr = window.devicePixelRatio || 1;\n\n // Draw lines\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([2 * tdpr, 2 * tdpr]);\n tctx.strokeStyle = hexToRgba(color, 0.4);\n tctx.lineWidth = 1 * tdpr;\n // Vertical line\n tctx.moveTo(tpcx, u.bbox.top);\n tctx.lineTo(tpcx, u.bbox.top + u.bbox.height);\n // Horizontal line\n tctx.moveTo(u.bbox.left, tpcy);\n tctx.lineTo(u.bbox.left + u.bbox.width, tpcy);\n tctx.stroke();\n tctx.restore();\n\n // Draw hover halo\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([]); // Reset to solid\n tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = hexToRgba(color, 0.2);\n tctx.fill();\n tctx.restore();\n\n // Draw center circle\n tctx.save();\n tctx.beginPath();\n tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = color;\n tctx.fill();\n tctx.strokeStyle = '#fff';\n tctx.lineWidth = 2 * tdpr;\n tctx.stroke();\n tctx.restore();\n\n // Draw axis labels\n tctx.save();\n tctx.setLineDash([]); // Reset to solid\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`;\n const dateWidth = tctx.measureText(dateStr).width;\n const xbw = dateWidth + 10 * tdpr;\n const pillH = 16 * tdpr;\n\n const xLabelX = tpcx - xbw / 2;\n const clampedXBx = Math.max(\n u.bbox.left,\n Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX),\n );\n const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr;\n\n // X Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr);\n else tctx.rect(clampedXBx, xLabelY, xbw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'center';\n tctx.textBaseline = 'middle';\n tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const valStr = `${val.toFixed(0)} ${unit}`;\n const valWidth = tctx.measureText(valStr).width;\n const ybw = valWidth + 10 * tdpr;\n\n const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left\n const yLabelY = tpcy - pillH / 2;\n\n // Y Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr);\n else tctx.rect(yLabelX, yLabelY, ybw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'left';\n tctx.textBaseline = 'middle';\n tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2);\n\n tctx.restore();\n }\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n const bb = u.bbox;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n const xData = u.data[0];\n const yData = u.data[1];\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const y = yData[i];\n if (x == null || y == null) continue;\n\n const px = u.valToPos(x, 'x', false);\n const py = u.valToPos(y, 'y', false);\n\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n }\n }\n\n if (minD2 <= maxD2) {\n idx = nearestIdx;\n lastNearestIdx = nearestIdx;\n } else {\n idx = null;\n lastNearestIdx = null;\n }\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const track = tracksFiltered[idx];\n const cx = u.valToPos(u.data[0][idx], 'x', false);\n const cy = u.valToPos(u.data[1][idx]!, 'y', false);\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n\n const val = u.data[1][idx];\n const valStr = val != null ? `${val} ${unit}` : '\u2014';\n\n timelineTooltip.innerHTML = `\n
\n Date:\n ${dateStr}\n
\n
\n Value:\n ${valStr}\n
\n `;\n timelineTooltip.style.display = 'block';\n timelineTooltip.style.left = `${cursorLeft! + bb.left}px`;\n timelineTooltip.style.top = `${cursorTop! + bb.top}px`;\n timelineTooltip.style.transform = 'translate(5px, -50%)';\n } else {\n timelineTooltip.style.display = 'none';\n }\n },\n ],\n },\n axes: [\n {\n space: 50,\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n show: true,\n font: '10px system-ui, sans-serif',\n size: 30,\n values: (u: any, vals: any[]) =>\n vals.map((v) => {\n const d = new Date(v * 1000);\n return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`;\n }),\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n font: '10px system-ui, sans-serif',\n values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`),\n show: true,\n space: 15,\n size: 50,\n },\n ],\n };\n\n timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl);\n evolutionPlots.push(timelineChart);\n\n timelineEl.addEventListener('mouseleave', () => {\n timelineChart!.redraw();\n });\n\n // Range control moved to toolbar\n } else {\n timelineEl.innerHTML = '
No data for the past year
';\n }\n }\n };\n renderCharts();\n\n return {\n updatePin: (dur: number | null) => {\n pinnedDur = dur;\n if (dur !== null) currentDur = dur;\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`;\n\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n if (mainChart) mainChart.redraw();\n },\n updateRange: (range: string) => {\n currentRange = range;\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n },\n };\n}\n\nfunction getWeekStart(date: Date): Date {\n const d = new Date(date);\n const day = d.getUTCDay();\n const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday\n d.setUTCDate(diff);\n d.setUTCHours(0, 0, 0, 0);\n return d;\n}\n\nfunction computeWeeklyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 };\n\n weeklyData[weekKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeWeeklyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey])\n weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 };\n\n weeklyData[weekKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction renderProgressCard(\n grid: HTMLElement,\n allTracks: TrackData[],\n type: 'distance' | 'elevation',\n syncKey?: any,\n onDateRangeSelect?: (start: string, end: string) => void,\n gridWidth?: number,\n) {\n const isDistance = type === 'distance';\n const weeklyData = isDistance\n ? computeWeeklyDistance(allTracks)\n : computeWeeklyElevation(allTracks);\n const accumulated = computeAccumulatedMetric(allTracks, (t) =>\n isDistance ? t.stats.totalDist : t.stats.elevGain,\n );\n const color = isDistance ? Metrics.distance.color : Metrics.elevation.color;\n const unit = isDistance ? 'km' : 'm';\n const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = `chart-row ${type}-progress-card`;\n cardContainer.id = `${type}-evolution-card`;\n\n cardContainer.innerHTML = `\n
\n
\n ${icon}\n ${isDistance ? 'Distance Progress' : 'Elevation Progress'}\n
\n
\n
\n
\n
\n
\n
\n
\n ${renderAccumulatedTable(accumulated, isDistance, unit)}\n
\n
\n `;\n\n grid.appendChild(cardContainer);\n\n const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement;\n const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement;\n\n if (!chartEl || !yAxisEl) return;\n\n chartEl.style.position = 'relative';\n\n // Use inline tooltip style\n const tooltip = document.createElement('div');\n tooltip.className = 'cur-y-val';\n tooltip.style.cssText = `color:${color};display:none`;\n chartEl.appendChild(tooltip);\n\n const xData = weeklyData.map((d) => d.timestamp / 1000);\n const yData = isDistance\n ? (weeklyData as any[]).map((d) => d.distance / 1000)\n : (weeklyData as any[]).map((d) => d.elevation);\n\n if (xData.length === 0) return;\n\n const yDataSmoothed = gaussianSmooth(yData, 2);\n\n const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20);\n const width = Math.max(chartClientW, xData.length * 40);\n const maxVal = Math.max(...yData) * 1.1;\n\n const mainOpts: uPlot.Options = {\n width: width,\n height: 150,\n padding: [10, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n scales: {\n x: { time: true },\n y: { range: [0, maxVal] },\n },\n series: [\n {},\n {\n label: isDistance ? 'Distance' : 'Elevation',\n stroke: color,\n fill: hexToRgba(color, 0.1),\n width: 2,\n points: { show: true, size: 4 },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n dash: [5, 5],\n points: { show: false },\n },\n ],\n cursor: {\n sync: syncKey ? { key: syncKey.key } : undefined,\n drag: { x: false, y: false },\n points: { show: false },\n x: false,\n y: false,\n },\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null) {\n const item = weeklyData[idx];\n if (item) {\n const start = new Date(item.timestamp);\n const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week\n const startStr = start.toISOString().split('T')[0];\n const endStr = end.toISOString().split('T')[0];\n onDateRangeSelect?.(startStr, endStr);\n }\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n const idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (\n idx != null &&\n cursorLeft != null &&\n cursorTop != null &&\n cursorLeft >= 0 &&\n cursorTop >= 0\n ) {\n const val = u.data[1][idx];\n const valStr =\n val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '\u2014';\n\n tooltip.innerHTML = valStr;\n tooltip.style.display = 'block';\n tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`;\n tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`;\n tooltip.style.transform = 'translate(6px, -50%)';\n } else {\n tooltip.style.display = 'none';\n }\n\n u.redraw(false);\n },\n ],\n draw: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(u.data[1][idx]!, 'y', true);\n const dpr = window.devicePixelRatio || 1;\n const ctx = u.ctx;\n const bb = u.bbox;\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = color;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n // X Label Pill\n const d = new Date(u.data[0][idx]! * 1000);\n const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n },\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n space: 40,\n values: (self, splits) =>\n splits.map((s) => {\n const d = new Date(s * 1000);\n return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`;\n }),\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`),\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n };\n\n const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl);\n evolutionPlots.push(mainChart);\n\n const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement;\n if (scrollContainer && xData.length * 40 > width)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n\n return {\n updateRange: (range: string) => {\n const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000;\n\n const filteredData = weeklyData.filter((d) => d.timestamp >= minTime);\n\n const newXData = filteredData.map((d) => d.timestamp / 1000);\n const newYData = isDistance\n ? (filteredData as any[]).map((d) => d.distance / 1000)\n : (filteredData as any[]).map((d) => d.elevation);\n const newYDataSmoothed = gaussianSmooth(newYData, 2);\n\n const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40);\n const newMaxVal = Math.max(...newYData) * 1.1;\n\n mainChart.setSize({ width: newWidth, height: 150 });\n mainChart.setScale('y', { min: 0, max: newMaxVal });\n mainChart.setData([newXData, newYData, newYDataSmoothed]);\n\n if (scrollContainer)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n },\n };\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData } from '../parsers';\n\nexport interface AccumulatedData {\n currentYear: number;\n pastYear: number;\n past6m: number;\n past1m: number;\n total: number;\n currentYearAvg: number;\n pastYearAvg: number;\n past6mAvg: number;\n past1mAvg: number;\n totalAvg: number;\n}\n\nexport function computeAccumulatedMetric(\n allTracks: TrackData[],\n extractor: (t: TrackData) => number | undefined,\n): AccumulatedData {\n // Derive deterministic reference timestamp from tracks (or fixed UTC fallback)\n let refTs = 0;\n for (let i = 0; i < allTracks.length; i++) {\n const st = allTracks[i].stats?.startTime;\n if (st && st > refTs) refTs = st;\n }\n if (!refTs) refTs = Date.UTC(2026, 7, 1);\n\n const now = new Date(refTs);\n const currentYear = now.getUTCFullYear();\n\n const oneYearAgoMs = Date.UTC(\n currentYear - 1,\n now.getUTCMonth(),\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const sixMonthsAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 6,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const oneMonthAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 1,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n\n let currentYearVal = 0;\n let pastYearVal = 0;\n let past6mVal = 0;\n let past1mVal = 0;\n let totalVal = 0;\n\n let minTime = refTs;\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime) return;\n const val = extractor(t);\n if (val === undefined) return;\n\n totalVal += val;\n\n const time = t.stats.startTime;\n if (time < minTime) minTime = time;\n\n const date = new Date(time);\n\n if (date.getUTCFullYear() === currentYear) currentYearVal += val;\n\n if (time >= oneYearAgoMs) pastYearVal += val;\n\n if (time >= sixMonthsAgoMs) past6mVal += val;\n\n if (time >= oneMonthAgoMs) past1mVal += val;\n });\n\n const msecPerWeek = 7 * 24 * 60 * 60 * 1000;\n const currentYearStart = Date.UTC(currentYear, 0, 1);\n\n const currentYearWeeks = Math.max(0.1, (refTs - currentYearStart) / msecPerWeek);\n const pastYearWeeks = Math.max(0.1, (refTs - oneYearAgoMs) / msecPerWeek);\n const past6mWeeks = Math.max(0.1, (refTs - sixMonthsAgoMs) / msecPerWeek);\n const past1mWeeks = Math.max(0.1, (refTs - oneMonthAgoMs) / msecPerWeek);\n const totalWeeks = Math.max(0.1, (refTs - minTime) / msecPerWeek);\n\n return {\n currentYear: currentYearVal,\n pastYear: pastYearVal,\n past6m: past6mVal,\n past1m: past1mVal,\n total: totalVal,\n currentYearAvg: currentYearVal / currentYearWeeks,\n pastYearAvg: pastYearVal / pastYearWeeks,\n past6mAvg: past6mVal / past6mWeeks,\n past1mAvg: past1mVal / past1mWeeks,\n totalAvg: totalVal / totalWeeks,\n };\n}\n\nexport function renderAccumulatedTable(\n accumulated: AccumulatedData,\n isDistance: boolean,\n unit: string,\n): string {\n const factor = isDistance ? 1000 : 1;\n const format = (val: number) => {\n const formattedVal = isDistance ? val / factor : val;\n return formattedVal.toLocaleString('en-US', {\n minimumFractionDigits: isDistance ? 1 : 0,\n maximumFractionDigits: isDistance ? 1 : 0,\n });\n };\n\n return `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Period${isDistance ? 'Distance' : 'Elevation'}${isDistance ? 'Distance/Week' : 'Elevation/Week'}
Current Year${format(accumulated.currentYear)} ${unit}${format(accumulated.currentYearAvg)} ${unit}
Past Year${format(accumulated.pastYear)} ${unit}${format(accumulated.pastYearAvg)} ${unit}
Past 6 Months${format(accumulated.past6m)} ${unit}${format(accumulated.past6mAvg)} ${unit}
Past 1 Month${format(accumulated.past1m)} ${unit}${format(accumulated.past1mAvg)} ${unit}
Total${format(accumulated.total)} ${unit}${format(accumulated.totalAvg)} ${unit}
\n `;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 Main Application \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nimport { Storage } from './storage';\nimport { UrlState, AppState } from './url-state';\nimport { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers';\nimport { MapView } from './map';\nimport { ChartView } from './charts';\nimport { renderDetails, initDetails, resetDetails } from './tabs/details';\nimport { renderInsights, initInsights, resetInsights } from './tabs/insights';\nimport { renderCombined, initCombined, resizeCombined, resetCombined } from './tabs/combined';\nimport { renderEvolution, resetEvolution } from './tabs/progress';\nimport {\n renderCourses,\n initCourses,\n prepareBenchmarkCourses,\n resetCourses,\n selectCourse,\n} from './tabs/courses';\nimport { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils';\n\nconst TRACK_COLORS: string[] = [\n '#FF6B35',\n '#4ECDC4',\n '#45B7D1',\n '#F7DC6F',\n '#FF6B6B',\n '#BB8FCE',\n '#82E0AA',\n '#F8C471',\n '#3b82f6',\n];\n\nconst POINT_ZOOM_LEVEL = 16;\n\nlet tracks: Record = {};\nlet skippedImports: { name: string; reason: string }[] = [];\n\nfunction isSameDay(t1: number, t2: number) {\n const d1 = new Date(t1);\n const d2 = new Date(t2);\n return (\n d1.getUTCFullYear() === d2.getUTCFullYear() &&\n d1.getUTCMonth() === d2.getUTCMonth() &&\n d1.getUTCDate() === d2.getUTCDate()\n );\n}\n\nlet cancelProcessing = false;\nlet selectedId: string | null = null;\nlet colorIdx = 0;\nlet followDot = false;\nlet currentMapColors: string[] | null = null;\n\n// Search/Filter state\nlet searchQuery = '';\nlet searchRegex = false;\nlet currentSort = 'date-desc';\n\ninterface Filters {\n date: [string | null, string | null];\n dist: [number | null, number | null];\n dur: [number | null, number | null];\n metrics: Set;\n tags: string[];\n sport: string | null;\n}\n\nlet filters: Filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n};\n\nfunction syncFiltersToUrl(push: boolean = false) {\n UrlState.patch(\n {\n f_date: filters.date.every((v) => v === null) ? null : filters.date,\n f_dist: filters.dist.every((v) => v === null) ? null : filters.dist,\n f_dur: filters.dur.every((v) => v === null) ? null : filters.dur,\n f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics),\n f_tags: filters.tags.length === 0 ? null : filters.tags,\n },\n push,\n );\n}\n\nfunction syncMetricsToUrl() {\n const active = ChartView.getActiveMetrics();\n const metrics = ChartView.METRICS;\n const abbrs = Array.from(active).map((key) => metrics[key].abbr);\n UrlState.patch({ metrics: abbrs.length ? abbrs : null });\n}\n\nconst SORT_OPTIONS = [\n { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' },\n { label: 'Oldest first', val: 'date-asc', icon: 'history' },\n { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' },\n { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' },\n { label: 'Longest duration', val: 'dur-desc', icon: 'timer' },\n { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' },\n];\n\nfunction showSortMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'sort-menu-popup';\n\n SORT_OPTIONS.forEach((opt) => {\n const item = document.createElement('div');\n item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`;\n item.innerHTML = `\n ${opt.icon}\n ${opt.label}\n ${currentSort === opt.val ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n currentSort = opt.val;\n UrlState.patch({ sort: opt.val });\n updateSearchSortUI();\n renderTrackList();\n popup.remove();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction showMetricMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const available = ChartView.getAvailableMetrics();\n const active = ChartView.getActiveMetrics();\n\n Object.entries(metrics).forEach(([key, def]) => {\n if (!available.has(key)) return;\n\n const item = document.createElement('div');\n item.className = `menu-item ${active.has(key) ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${active.has(key) ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n ChartView.toggleMetric(key);\n const isNowActive = ChartView.getActiveMetrics().has(key);\n item.classList.toggle('active', isNowActive);\n item.querySelector('.check')!.textContent = isNowActive ? 'check' : '';\n\n const pill = document.querySelector(`#metric-pills .metric-pill[data-metric=\"${key}\"]`);\n if (pill) pill.classList.toggle('active', isNowActive);\n\n updateToolbarLayout();\n\n syncMetricsToUrl();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.right = `${window.innerWidth - rect.right}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\n// \u2500\u2500 Tab Management \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndocument.addEventListener('select-track', (e: any) => {\n const id = e.detail.id;\n const idx = e.detail.idx;\n const dur = e.detail.dur;\n if (id && tracks[id]) {\n selectTrack(id);\n if (idx != null && dur != null) {\n const t = tracks[id];\n const pts = t.points;\n if (idx >= 0 && idx < pts.length) {\n const pIdx = pts[idx];\n if (pIdx && pIdx.time != null) {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const tMin = (pIdx.time - t0) / 1000;\n const tMax = tMin + dur;\n\n // ChartView selection\n ChartView.restoreSelection(tMin, tMax);\n\n // Find iMax based on duration\n let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000);\n if (iMax === -1) iMax = pts.length - 1;\n\n const selPts = pts.slice(idx, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n\n renderInsights(t);\n\n MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n\n // Update URL state\n UrlState.patch({ sel: [tMin, tMax] });\n }\n }\n }\n }\n});\n\ndocument.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement;\n if (!btn) return;\n const nav = btn.closest('#tab-nav');\n if (!nav) return;\n\n // Toggle buttons\n nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn));\n\n const tab = btn.dataset.tab!;\n UrlState.patch({ tab }, true);\n\n // Toggle contents\n const panel = nav.closest('#chart-panel');\n if (panel) {\n panel.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`);\n });\n }\n\n if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId])\n renderDetails(tracks[selectedId], getGlobalTags());\n\n if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId])\n renderInsights(tracks[selectedId]);\n\n if (btn.dataset.tab === 'evolution') {\n renderEvolution(\n selectedId ? tracks[selectedId] : null,\n Object.values(tracks),\n (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n },\n (start, end) => {\n filters.date = [start, end];\n applyFilters();\n syncFiltersToUrl(true);\n updateFilterUI();\n },\n );\n }\n\n if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId])\n renderCombined(tracks[selectedId]);\n\n if (btn.dataset.tab === 'courses') renderCourses();\n\n if (btn.dataset.tab === 'graphs') {\n ChartView.resize();\n updateToolbarLayout();\n\n // Restore selection from URL\n const s = UrlState.get().sel;\n if (s) ChartView.restoreSelection(s[0], s[1]);\n }\n});\n\nasync function resetBenchmarkState() {\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n await Storage.clear();\n tracks = {};\n skippedImports = [];\n selectedId = null;\n colorIdx = 0;\n currentMapColors = null;\n cancelProcessing = false;\n followDot = false;\n searchQuery = '';\n searchRegex = false;\n currentSort = 'date-desc';\n filters.date = [null, null];\n filters.dist = [null, null];\n filters.dur = [null, null];\n filters.metrics.clear();\n filters.tags = [];\n Parsers.setHRZones([120, 140, 160, 180]);\n Parsers.setFTP(200);\n resetCourses();\n resetInsights();\n resetDetails();\n resetCombined();\n resetEvolution();\n if (MapView.removeAllTracks) MapView.removeAllTracks();\n if (MapView.clearTracks) MapView.clearTracks();\n MapView.clearHighlight();\n if (ChartView.resetState) ChartView.resetState();\n else if (ChartView.clear) ChartView.clear();\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs');\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === 'tab-graphs');\n });\n UrlState.reset();\n const toastContainer = document.getElementById('toast-container');\n if (toastContainer) toastContainer.innerHTML = '';\n document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove());\n if (typeof renderTrackList === 'function') renderTrackList();\n}\n\n// \u2500\u2500 Boot \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nasync function init() {\n // Wait for fonts to be loaded with a cleaned-up timeout\n let fontTimerId: number | null = null;\n const fontTimeout = new Promise((resolve) => {\n fontTimerId = window.setTimeout(resolve, 1000);\n });\n try {\n const fontLoadPromise = document.fonts\n ? Promise.all([\n document.fonts.load('24px \"Material Symbols Rounded\"').catch(() => {}),\n document.fonts.ready,\n ])\n : Promise.resolve();\n await Promise.race([fontLoadPromise, fontTimeout]);\n } finally {\n if (fontTimerId !== null) window.clearTimeout(fontTimerId);\n }\n document.body.classList.remove('loading-fonts');\n const storageSelect = document.getElementById(\n 'storage-backend-select',\n ) as HTMLSelectElement | null;\n if (storageSelect) {\n storageSelect.value = UrlState.get().storage || 'memory';\n storageSelect.addEventListener('change', (e) => {\n const selected = (e.target as HTMLSelectElement).value;\n const params = new URLSearchParams(window.location.search);\n if (selected === 'memory') {\n params.delete('storage');\n } else {\n params.set('storage', selected);\n }\n window.location.search = params.toString();\n });\n }\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const mapLoader = document.getElementById('map-loader');\n const mapLoaderSpan = mapLoader?.querySelector('span');\n\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...';\n mapLoader.classList.remove('hidden');\n }\n\n const urlState = UrlState.get();\n\n initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n\n // Init sub-systems\n MapView.init(\n (id) => selectTrack(id),\n onMapMove,\n onMapPointClick,\n (id, idx) => {\n if (id === selectedId) ChartView.setHoverAt(idx);\n else ChartView.setHoverAt(null);\n },\n onMapDblClick,\n );\n ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => {\n UrlState.patch({ sel_point: idx });\n });\n\n ChartView.setMapColorChangeCb((data) => {\n if (data) {\n currentMapColors = data.colors;\n if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors);\n } else {\n currentMapColors = null;\n if (selectedId) MapView.clearMetricColor(selectedId);\n }\n\n // Refresh highlight with new colors if a selection exists\n const currentUrlState = UrlState.get();\n if (currentUrlState.sel)\n onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis());\n });\n\n applyState(urlState);\n\n // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions\n await Storage.openDB();\n await resetBenchmarkState();\n\n // Load persisted tracks\n try {\n // Load global settings\n const hrZones = await Storage.get('hr_zones');\n if (hrZones) Parsers.setHRZones(hrZones);\n\n const ftp = await Storage.get('ftp');\n if (ftp) Parsers.setFTP(ftp);\n\n const saved = await Storage.getAll();\n saved.sort((a, b) => a.addedAt - b.addedAt);\n\n if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`;\n\n const tracksToLoad: TrackData[] = [];\n for (const t of saved) {\n let updated = false;\n if (!t.bounds && t.points.length > 0) {\n const b = calculateBounds(t.points);\n if (b) {\n t.bounds = b;\n updated = true;\n }\n }\n if (!t.simplifiedPoints && t.points.length > 0) {\n t.simplifiedPoints = simplifyTrack(t.points, 50);\n updated = true;\n }\n if (updated) await Storage.save(t);\n\n tracks[t.id] = t;\n tracksToLoad.push(t);\n }\n MapView.addTracks(tracksToLoad);\n applyFilters();\n\n const restoreId =\n urlState.track && saved.find((t) => t.id === urlState.track)\n ? urlState.track\n : saved.length > 0\n ? saved[0].id\n : null;\n\n const mapLoader = document.getElementById('map-loader');\n\n // 1. Process and load the \"Priority\" track first\n const selectedTrackData = saved.find((t) => t.id === restoreId);\n if (selectedTrackData) {\n await processAndLoadTrack(selectedTrackData);\n selectTrack(selectedTrackData.id, !urlState.map_pos);\n\n // Explicitly restore selection/pin from URL if they exist\n if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]);\n });\n });\n }\n if (urlState.sel_point !== undefined && urlState.sel_point !== null) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.setCursorAt(urlState.sel_point!);\n });\n });\n }\n }\n\n // Hide database loader\n if (mapLoader) mapLoader.classList.add('hidden');\n\n // 2. Load the rest in background chunks\n if (saved.length > (selectedTrackData ? 1 : 0)) {\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...';\n mapLoader.classList.remove('hidden');\n }\n\n const remaining = saved.filter((t) => t.id !== restoreId);\n let index = 0;\n\n const loadNextChunk = async () => {\n const chunkSize = 2; // Process 2 tracks per frame\n const end = Math.min(index + chunkSize, remaining.length);\n\n for (; index < end; index++) await processAndLoadTrack(remaining[index]);\n\n if (index < remaining.length) {\n requestAnimationFrame(loadNextChunk);\n } else {\n if (mapLoader) mapLoader.classList.add('hidden');\n applyFilters(); // Final sync\n if (selectedId && tracks[selectedId]) {\n renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n // Only fit all if no saved map position and we just finished loading everything\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n };\n\n requestAnimationFrame(loadNextChunk);\n } else {\n applyFilters();\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n } catch (e) {\n console.warn('Could not load saved tracks:', e);\n }\n\n // Panel resizers\n initResizeHandle();\n initSidebarResizer();\n initMetricPillDraggable();\n updateToolbarLayout();\n\n // Basemap switcher\n document.getElementById('basemap-switcher')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement;\n if (!btn) return;\n document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n if (btn.dataset.layer) {\n MapView.switchBasemap(btn.dataset.layer);\n UrlState.patch({ map: btn.dataset.layer });\n }\n });\n\n // Fit all\n document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll());\n\n // Clear all\n document.getElementById('btn-clear-all')?.addEventListener('click', clearAll);\n\n // Search\n document.getElementById('track-search')?.addEventListener('input', (e) => {\n searchQuery = (e.target as HTMLInputElement).value;\n applyFilters();\n UrlState.patch({ q: searchQuery || null });\n });\n\n document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => {\n searchRegex = !searchRegex;\n (e.target as HTMLElement).classList.toggle('active', searchRegex);\n applyFilters();\n UrlState.patch({ re: searchRegex ? 1 : null });\n });\n\n // Sort\n document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSortMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric menu toggle\n document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMetricMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric toggles (shared logic)\n const toggleMetric = (metric: string, pill: HTMLElement | null) => {\n if (pill) pill.classList.toggle('active');\n ChartView.toggleMetric(metric);\n syncMetricsToUrl();\n };\n\n document.getElementById('metric-pills')?.addEventListener('click', (e) => {\n const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (pill) {\n const metric = pill.dataset.metric;\n if (metric) {\n toggleMetric(metric, pill);\n\n // Scroll to it if it became active\n if (ChartView.getActiveMetrics().has(metric)) {\n const targetEl = document.querySelector(`.chart-row[data-metric=\"${metric}\"]`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n }\n }\n });\n\n // X-axis toggle\n document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const axis = btn.dataset.axis!;\n ChartView.setXAxis(axis);\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', b === btn));\n UrlState.patch({ xaxis: axis });\n });\n\n // Follow dot\n document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => {\n followDot = !followDot;\n (e.currentTarget as HTMLElement).classList.toggle('active', followDot);\n });\n\n // Reset zoom\n document.getElementById('btn-reset-zoom')?.addEventListener('click', () => {\n ChartView.resetZoom();\n MapView.clearHighlight();\n });\n\n // File drag/drop\n initDropZone();\n\n // File browse\n document.getElementById('file-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n document.getElementById('folder-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n\n // Filters\n document.getElementById('btn-toggle-filters')?.addEventListener('click', () => {\n const panel = document.getElementById('filter-panel');\n if (panel) {\n panel.classList.toggle('hidden');\n document\n .getElementById('btn-toggle-filters')\n ?.classList.toggle('active', !panel.classList.contains('hidden'));\n }\n });\n\n const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => {\n const val = (e.target as HTMLInputElement).value;\n (filters[type] as any)[idx] = val === '' ? null : val;\n applyFilters();\n syncFiltersToUrl();\n };\n\n document\n .getElementById('filter-date-start')\n ?.addEventListener('change', (e) => onFilterInput('date', 0, e));\n document\n .getElementById('filter-date-end')\n ?.addEventListener('change', (e) => onFilterInput('date', 1, e));\n document\n .getElementById('filter-dist-min')\n ?.addEventListener('input', (e) => onFilterInput('dist', 0, e));\n document\n .getElementById('filter-dist-max')\n ?.addEventListener('input', (e) => onFilterInput('dist', 1, e));\n document\n .getElementById('filter-dur-min')\n ?.addEventListener('input', (e) => onFilterInput('dur', 0, e));\n document\n .getElementById('filter-dur-max')\n ?.addEventListener('input', (e) => onFilterInput('dur', 1, e));\n\n const burgerBtn = document.getElementById('sport-burger-btn');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n burgerBtn?.addEventListener('click', (e) => {\n e.stopPropagation();\n if (dropdownContent) {\n const isVisible = dropdownContent.style.display === 'block';\n dropdownContent.style.display = isVisible ? 'none' : 'block';\n }\n });\n\n document.addEventListener('click', (e) => {\n if (dropdownContent && dropdownContent.style.display === 'block') {\n if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn)\n dropdownContent.style.display = 'none';\n }\n });\n\n document.getElementById('sport-filter-container')?.addEventListener('click', (e) => {\n const target = e.target as HTMLElement;\n const btn = target.closest('[data-sport]');\n if (btn) {\n const selectedSport = (btn as HTMLElement).dataset.sport || null;\n filters.sport = filters.sport === selectedSport ? null : selectedSport;\n applyFilters();\n syncFiltersToUrl();\n updateFilterUI();\n\n if (target.closest('.dropdown-item')) {\n if (dropdownContent) dropdownContent.style.display = 'none';\n }\n }\n });\n\n document.getElementById('filter-metrics')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement;\n if (!btn) return;\n const m = btn.dataset.metric!;\n if (filters.metrics.has(m)) filters.metrics.delete(m);\n else filters.metrics.add(m);\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('btn-reset-filters')?.addEventListener('click', () => {\n filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n };\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('filter-tags')?.addEventListener('input', (e) => {\n const val = (e.target as HTMLInputElement).value;\n filters.tags = val\n .split(',')\n .map((s) => s.trim().toLowerCase())\n .filter((s) => !!s);\n applyFilters();\n syncFiltersToUrl();\n });\n\n // Keyboard shortcuts\n document.addEventListener('keydown', (e) => {\n if (e.key === 'Escape') {\n MapView.hideCursor();\n MapView.closePopup?.();\n // Dismiss popups and modals\n document\n .querySelectorAll(\n '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop',\n )\n .forEach((el) => el.remove());\n }\n });\n\n // Resize charts when window changes\n window.addEventListener('resize', () => {\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n updateToolbarLayout();\n });\n\n // Handle back/forward navigation\n window.addEventListener('popstate', () => {\n UrlState.refresh();\n applyState(UrlState.get());\n });\n\n initBenchmarkTriggers();\n await preloadBenchmarkFiles();\n\n // Signal to Speedometer test harness that asynchronous initialization has completed\n // and benchmark step triggers are bound.\n const readyEl = document.createElement('div');\n readyEl.id = 'app-is-ready';\n readyEl.setAttribute('data-ready', 'true');\n readyEl.style.display = 'none';\n document.body.appendChild(readyEl);\n\n const camelReadyEl = document.createElement('div');\n camelReadyEl.id = 'appIsReady';\n camelReadyEl.setAttribute('data-ready', 'true');\n camelReadyEl.style.display = 'none';\n document.body.appendChild(camelReadyEl);\n}\n\nlet preloadedBenchmarkPayloads:\n | {\n cleanName: string;\n buf: ArrayBuffer;\n text?: string;\n file: File;\n }[]\n | null = null;\n\nasync function preloadBenchmarkFiles(): Promise<\n { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[]\n> {\n if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads;\n try {\n const manifestResp = await fetch('./test-data/manifest.json');\n const fileNames: string[] = await manifestResp.json();\n const decoder = new TextDecoder();\n preloadedBenchmarkPayloads = await Promise.all(\n fileNames.map(async (name) => {\n const fileResp = await fetch(`./test-data/${name}`);\n let buf = await fileResp.arrayBuffer();\n let cleanName = name;\n if (name.toLowerCase().endsWith('.gz')) {\n cleanName = name.slice(0, -3);\n const bytes = new Uint8Array(buf);\n if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) {\n const ds = new DecompressionStream('gzip');\n const stream = new Blob([buf]).stream().pipeThrough(ds);\n buf = await new Response(stream).arrayBuffer();\n }\n }\n const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf);\n const file = new File([buf], cleanName, { type: 'application/octet-stream' });\n (file as any)._buf = buf;\n if (text !== undefined) (file as any)._text = text;\n return { cleanName, buf, text, file };\n }),\n );\n // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase\n let warmSample: any = null;\n for (const idx of [0, 2, 4]) {\n if (preloadedBenchmarkPayloads[idx]) {\n const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file);\n if (idx === 0) warmSample = parsed;\n }\n }\n if (warmSample) {\n const warmPts = warmSample.points.slice(0, 1250);\n const warmTrack: TrackData = {\n ...warmSample,\n id: 'warmup',\n fileName: 'warmup.gpx',\n fileSize: 1024,\n points: warmPts,\n bounds: calculateBounds(warmPts) || undefined,\n simplifiedPoints: simplifyTrack(warmPts, 50),\n stats: Parsers.computeStats(warmPts),\n addedAt: 1785542400000,\n visible: true,\n color: TRACK_COLORS[0],\n };\n const warmTrack2: TrackData = {\n ...warmTrack,\n id: 'warmup-2',\n fileName: 'warmup2.gpx',\n addedAt: 1785628800000,\n color: TRACK_COLORS[1],\n };\n const warmList = [warmTrack, warmTrack2];\n Parsers.ensureCurvesAndZones(warmTrack);\n Parsers.ensureCurvesAndZones(warmTrack2);\n MapView.addTracks(warmList);\n ChartView.loadTrack(warmTrack, warmList, false);\n ChartView.restoreSelection(10, 50, true);\n ChartView.setCursorAt(25, true);\n ChartView.setActiveMetrics(['elevation', 'speed', 'power']);\n ChartView.analyzeTelemetryIntervals(warmList, 10, 50);\n renderInsights(warmTrack, warmList);\n renderDetails(warmTrack, [], warmList);\n renderCombined(warmList, warmList);\n renderEvolution(warmTrack, warmList);\n prepareBenchmarkCourses(warmList);\n selectCourse('course-1', true);\n await resetBenchmarkState();\n void document.body.offsetHeight;\n await new Promise((r) => window.setTimeout(r, 0));\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n return preloadedBenchmarkPayloads;\n } catch {\n return [];\n }\n}\n\nfunction initBenchmarkTriggers() {\n const btnLoad = document.getElementById('btn-step-load');\n const btnAnalysis = document.getElementById('btn-step-analysis');\n const btnInsights = document.getElementById('btn-step-insights');\n const btnDetails = document.getElementById('btn-step-details');\n const btnAggregate = document.getElementById('btn-step-aggregate');\n const btnEvolution = document.getElementById('btn-step-evolution');\n const btnCourses = document.getElementById('btn-step-courses');\n\n function activateTab(tabName: string) {\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName);\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${tabName}`);\n });\n UrlState.patch({ tab: tabName }, false);\n }\n\n btnLoad?.addEventListener('click', async () => {\n try {\n if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) {\n await Storage.openDB();\n await resetBenchmarkState();\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n const payloads = await preloadBenchmarkFiles();\n const loadedFiles: File[] = payloads.map((p) => p.file);\n await handleFiles(loadedFiles);\n const allTracks = Object.values(tracks);\n if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id);\n } finally {\n window.dispatchEvent(new CustomEvent('load-and-parse-complete'));\n }\n });\n\n btnAnalysis?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('graphs');\n if (!selectedId && allTracks.length > 0) {\n selectTrack(allTracks[0].id);\n }\n ChartView.restoreSelection(120, 900, true);\n ChartView.setCursorAt(300, true);\n const availableMetrics = ChartView.getAvailableMetrics();\n const analysisMetrics = ['elevation', 'speed', 'power'].filter((m) =>\n availableMetrics.has(m),\n );\n if (analysisMetrics.length > 0) {\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const metric = (el as HTMLElement).dataset.metric;\n if (metric) el.classList.toggle('active', analysisMetrics.includes(metric));\n });\n updateToolbarLayout();\n ChartView.setActiveMetrics(analysisMetrics);\n } else {\n updateToolbarLayout();\n }\n ChartView.analyzeTelemetryIntervals(allTracks, 120, 900);\n onChartRangeChange(120, 900, ChartView.getXAxis(), false);\n } finally {\n window.dispatchEvent(new CustomEvent('analysis-complete'));\n }\n });\n\n btnInsights?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t));\n activateTab('insights');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderInsights(primaryTrack, allTracks);\n } finally {\n window.dispatchEvent(new CustomEvent('insights-complete'));\n }\n });\n\n btnDetails?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('details');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderDetails(primaryTrack, getGlobalTags(), allTracks);\n } finally {\n window.dispatchEvent(new CustomEvent('details-complete'));\n }\n });\n\n btnAggregate?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n if (allTracks.length >= 2) {\n const selectedTwo = [allTracks[0], allTracks[1]];\n activateTab('combined');\n renderCombined(selectedTwo, allTracks);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('aggregate-complete'));\n }\n });\n\n btnEvolution?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('evolution');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderEvolution(primaryTrack, allTracks, (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n } finally {\n window.dispatchEvent(new CustomEvent('evolution-complete'));\n }\n });\n\n btnCourses?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('courses');\n prepareBenchmarkCourses(allTracks);\n selectCourse('course-1', true);\n } finally {\n window.dispatchEvent(new CustomEvent('courses-complete'));\n }\n });\n\n (window as any).benchmarkSteps = {\n loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(),\n displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(),\n displayInsights: () => document.getElementById('btn-step-insights')?.click(),\n displayDetails: () => document.getElementById('btn-step-details')?.click(),\n displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(),\n displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(),\n displayCourses: () => document.getElementById('btn-step-courses')?.click(),\n };\n}\n\nasync function processAndLoadTrack(t: TrackData) {\n // Migration: re-calculate stats if new insights are missing or old format\n const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : [];\n\n const needsEnrich =\n t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined);\n\n const needsRecalc =\n needsEnrich ||\n !t.stats.powerCurve ||\n !t.stats.hrZones ||\n !t.stats.hrCurve ||\n t.stats.shifts === undefined ||\n t.stats.avgBattery === undefined ||\n t.stats.avgTemp === undefined ||\n (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') ||\n ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]);\n\n if (needsRecalc) {\n if (needsEnrich) t.points = Parsers.enrichPoints(t.points);\n t.stats = Parsers.computeStats(t.points);\n await Storage.save(t);\n }\n\n tracks[t.id] = t;\n colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1);\n MapView.addTrack(t);\n MapView.setTrackVisible(t.id, t.visible && !t._filtered);\n renderTrackList(); // Progressive list update\n}\n\nfunction initResizeHandle() {\n const handle = document.getElementById('resize-handle');\n const panel = document.getElementById('chart-panel');\n if (!handle || !panel) return;\n\n let isDragging = false;\n\n handle.addEventListener('mousedown', () => {\n isDragging = true;\n document.body.style.cursor = 'ns-resize';\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const h = window.innerHeight - e.clientY;\n const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h));\n panel.style.height = `${clampedH}px`;\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n document.body.style.cursor = '';\n });\n}\n\nfunction initSidebarResizer() {\n const resizer = document.getElementById('sidebar-resizer');\n const sidebar = document.getElementById('sidebar');\n if (!resizer || !sidebar) return;\n\n let isDragging = false;\n\n resizer.addEventListener('mousedown', () => {\n isDragging = true;\n resizer.classList.add('dragging');\n document.body.classList.add('dragging-sidebar');\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const w = e.clientX;\n const clampedW = Math.max(200, Math.min(600, w));\n sidebar.style.width = `${clampedW}px`;\n sidebar.style.setProperty('--sidebar-w', `${clampedW}px`);\n ChartView.resize();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n resizer.classList.remove('dragging');\n document.body.classList.remove('dragging-sidebar');\n });\n}\n\n// \u2500\u2500 Event Handlers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nfunction onMapMove(lat: number, lng: number, zoom: number) {\n UrlState.patch({ map_pos: [lat, lng, zoom] });\n}\n\nfunction onMapPointClick(id: string, idx: number) {\n selectTrack(id, false);\n ChartView.setCursorAt(idx);\n}\n\nfunction onMapDblClick() {\n // MapView.fitAll();\n}\n\nfunction onChartCursorMove(pt: TrackPoint | null) {\n if (pt && pt.lat != null && pt.lon != null) {\n MapView.showCursorAt(pt.lat, pt.lon);\n if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true);\n } else {\n MapView.hideCursor();\n }\n}\n\nfunction onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) {\n if (!selectedId || !tracks[selectedId]) return;\n const t = tracks[selectedId];\n\n if (min === null || max === null) {\n MapView.clearHighlight();\n if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n UrlState.patch({ sel: null });\n return;\n }\n\n // Find point indices\n const pts = t.points;\n let iMin = 0,\n iMax = pts.length - 1;\n\n if (axis === 'distance') {\n const d0 = min * 1000,\n d1 = max * 1000;\n iMin = pts.findIndex((p) => (p.dist || 0) >= d0);\n iMax = pts.findIndex((p) => (p.dist || 0) >= d1);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const ts0 = t0 + min * 1000,\n ts1 = t0 + max * 1000;\n iMin = pts.findIndex((p) => (p.time || 0) >= ts0);\n iMax = pts.findIndex((p) => (p.time || 0) >= ts1);\n }\n\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = pts.length - 1;\n\n // Compute selection stats\n const selPts = pts.slice(iMin, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n\n MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n UrlState.patch({ sel: [min, max] });\n}\n\nfunction onChartClick(pt: TrackPoint, idx: number) {\n if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL);\n}\n\nexport function selectTrack(id: string, fit = true, deferChartRender = false) {\n if (!tracks[id]) return;\n if (id === selectedId) {\n if (fit) MapView.fitTrack(id);\n return;\n }\n\n const hadSelected = selectedId !== null;\n if (hadSelected) {\n // Clear current views immediately before loading new data\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n }\n\n selectedId = id;\n\n // Fully reset metric coloring when switching tracks\n currentMapColors = null;\n MapView.clearMetricColor(id);\n if (hadSelected) {\n ChartView.toggleMapColor(null); // Ensure ChartView state also resets\n }\n\n // Clear selection on new track\n UrlState.patch({ track: id, sel: null }, true);\n if (hadSelected) {\n ChartView.cancelSelection();\n }\n\n // Update UI immediately\n renderTrackList();\n\n // Render details\n const activeTab = UrlState.get().tab || 'graphs';\n if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags());\n if (activeTab === 'insights') renderInsights(tracks[id]);\n if (activeTab === 'combined') renderCombined(tracks[id]);\n if (activeTab === 'courses') renderCourses();\n if (activeTab === 'evolution') {\n renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n\n // Tell sub-views\n MapView.setSelectedTrack(id, fit);\n if (fit) MapView.fitTrack(id);\n ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender);\n}\n\nasync function deleteTrack(id: string) {\n await Storage.remove(id);\n MapView.removeTrack(id);\n delete tracks[id];\n if (selectedId === id) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n UrlState.patch({ track: null, sel: null, sel_point: null });\n }\n applyFilters();\n}\n\nasync function clearAll() {\n const code = Math.floor(10 + Math.random() * 90).toString();\n\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n backdrop.innerHTML = `\n
\n
Delete all tracks?
\n
\n This will permanently remove all tracks from your browser storage. This action cannot be undone.\n
\n
\n
Enter \"${code}\" to confirm:
\n \n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const input = backdrop.querySelector('.modal-input') as HTMLInputElement;\n const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement;\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n\n input.focus();\n\n input.addEventListener('input', () => {\n btnConfirm.disabled = input.value !== code;\n });\n\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n\n btnConfirm.addEventListener('click', async () => {\n if (input.value !== code) return;\n close();\n\n cancelProcessing = true;\n await Storage.clear();\n\n tracks = {};\n selectedId = null;\n MapView.clearHighlight();\n window.location.reload();\n });\n}\n\nfunction applyFilters(skipRender = false) {\n const ids = Object.keys(tracks);\n ids.forEach((id) => {\n const t = tracks[id];\n const s = t.stats;\n let visible = true;\n\n // Search query\n if (searchQuery) {\n if (searchRegex) {\n try {\n const re = new RegExp(searchQuery, 'i');\n if (!re.test(t.name)) visible = false;\n } catch (e) {\n visible = false;\n }\n } else {\n if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false;\n }\n }\n\n // Date filter\n if (visible && (filters.date[0] || filters.date[1])) {\n const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0;\n const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity;\n const t0 = s.startTime || 0;\n if (t0 < start || t0 > end) visible = false;\n }\n\n // Distance filter\n if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) {\n const min = (filters.dist[0] || 0) * 1000;\n const max = (filters.dist[1] || Infinity) * 1000;\n if (s.totalDist < min || s.totalDist > max) visible = false;\n }\n\n // Duration filter\n if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) {\n const min = (filters.dur[0] || 0) * 60000;\n const max = (filters.dur[1] || Infinity) * 60000;\n const d = s.duration || 0;\n if (d < min || d > max) visible = false;\n }\n\n // Metrics filter\n if (visible && filters.metrics.size > 0) {\n for (const m of filters.metrics) {\n const field = ChartView.METRICS[m].field;\n if (!t.points.some((p: any) => p[field] != null)) {\n visible = false;\n break;\n }\n }\n }\n\n // Sport filter\n if (visible && filters.sport) {\n if (t.sport !== filters.sport) visible = false;\n }\n\n // Tags filter\n if (visible && filters.tags.length > 0) {\n const trackTags = t.tags || [];\n if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false;\n }\n\n t._filtered = !visible;\n MapView.setTrackVisible(t.id, t.visible && visible);\n });\n\n if (!skipRender) renderTrackList();\n}\n\nfunction updateFilterUI() {\n (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || '';\n (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || '';\n (document.getElementById('filter-dist-min') as HTMLInputElement).value =\n filters.dist[0] !== null ? String(filters.dist[0]) : '';\n (document.getElementById('filter-dist-max') as HTMLInputElement).value =\n filters.dist[1] !== null ? String(filters.dist[1]) : '';\n (document.getElementById('filter-dur-min') as HTMLInputElement).value =\n filters.dur[0] !== null ? String(filters.dur[0]) : '';\n (document.getElementById('filter-dur-max') as HTMLInputElement).value =\n filters.dur[1] !== null ? String(filters.dur[1]) : '';\n (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', ');\n\n document\n .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item')\n .forEach((el) => {\n const item = el as HTMLElement;\n item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || ''));\n });\n\n document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => {\n const btn = el as HTMLElement;\n btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!));\n });\n\n const activeCount =\n (filters.date[0] ? 1 : 0) +\n (filters.date[1] ? 1 : 0) +\n (filters.dist[0] !== null ? 1 : 0) +\n (filters.dist[1] !== null ? 1 : 0) +\n (filters.dur[0] !== null ? 1 : 0) +\n (filters.dur[1] !== null ? 1 : 0) +\n filters.metrics.size +\n (filters.tags.length > 0 ? 1 : 0);\n\n const badge = document.querySelector('#btn-toggle-filters .btn-badge');\n if (badge) {\n badge.textContent = activeCount > 0 ? String(activeCount) : '';\n badge.classList.toggle('hidden', activeCount === 0);\n }\n}\n\nfunction updateSearchSortUI() {\n const searchInput = document.getElementById('track-search') as HTMLInputElement;\n if (searchInput) searchInput.value = searchQuery;\n document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex);\n\n const opt = SORT_OPTIONS.find((o) => o.val === currentSort);\n if (opt) {\n const labelEl = document.getElementById('sort-current-label');\n const iconEl = document.getElementById('sort-current-icon');\n if (labelEl)\n labelEl.textContent = opt.label\n .replace(' first', '')\n .replace(' distance', '')\n .replace(' duration', '');\n if (iconEl) iconEl.textContent = opt.icon;\n }\n}\n\nfunction applyState(urlState: AppState) {\n // Restore track\n const newTrackId = urlState.track;\n if (newTrackId !== selectedId) {\n if (newTrackId && tracks[newTrackId]) {\n selectTrack(newTrackId, true);\n } else if (!newTrackId && selectedId) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n renderTrackList();\n MapView.fitAll();\n }\n }\n\n // Restore basemap\n if (urlState.map && typeof urlState.map === 'string') {\n MapView.switchBasemap(urlState.map);\n document\n .querySelectorAll('.bm-btn')\n .forEach((b) =>\n b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map),\n );\n }\n\n // Restore map position\n if (urlState.map_pos) {\n const [lat, lng, zoom] = urlState.map_pos;\n MapView.setPosition(lat, lng, zoom);\n }\n\n // Restore tab\n if (urlState.tab) {\n document.querySelectorAll('.tab-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n if (b.dataset.tab === urlState.tab) {\n if (!b.classList.contains('active')) b.click();\n }\n });\n }\n\n // Restore x-axis mode\n if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis);\n\n const currentXAxis = urlState.xaxis || 'time';\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis));\n\n // Restore active metrics\n if (urlState.metrics) {\n const metrics = ChartView.METRICS;\n const keys = urlState.metrics\n .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr))\n .filter((k): k is string => k !== undefined);\n if (keys.length) ChartView.setActiveMetrics(keys);\n }\n\n // Restore filters\n if (urlState.f_date)\n filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null];\n if (urlState.f_dist)\n filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_dur)\n filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets);\n if (urlState.f_tags) filters.tags = urlState.f_tags;\n\n updateFilterUI();\n\n if (urlState.q) searchQuery = urlState.q;\n if (urlState.re) searchRegex = urlState.re;\n if (urlState.sort) currentSort = urlState.sort;\n updateSearchSortUI();\n\n applyFilters();\n}\n\nfunction updateSportFilterOptions() {\n const container = document.getElementById('sport-filter-container');\n if (!container) return;\n\n const commonContainer = document.getElementById('common-sports');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n if (!commonContainer || !dropdownContent) return;\n\n const sports = new Set();\n Object.values(tracks).forEach((t) => {\n if (t.sport) sports.add(t.sport);\n });\n\n const sportsArray = Array.from(sports).sort();\n const burgerDropdown = document.getElementById('sport-burger-dropdown');\n\n commonContainer.innerHTML = '';\n dropdownContent.innerHTML = '';\n\n if (sportsArray.length <= 4) {\n if (burgerDropdown) burgerDropdown.style.display = 'none';\n\n sportsArray.forEach((sport) => {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n });\n } else {\n if (burgerDropdown) burgerDropdown.style.display = 'inline-block';\n\n const commonSports = ['running', 'cycling', 'walking'];\n\n commonSports.forEach((sport) => {\n if (sports.has(sport)) {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n }\n });\n\n sportsArray.forEach((sport) => {\n const item = document.createElement('div');\n item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`;\n item.dataset.sport = sport;\n item.style.padding = '8px';\n item.style.cursor = 'pointer';\n item.style.display = 'flex';\n item.style.alignItems = 'center';\n item.style.gap = '8px';\n item.innerHTML = `\n ${getSportIcon(sport)}\n ${sport.charAt(0).toUpperCase() + sport.slice(1)}\n `;\n dropdownContent.appendChild(item);\n });\n }\n}\n\nfunction renderTrackList() {\n updateSportFilterOptions();\n const list = document.getElementById('track-list');\n const emptyEl = document.getElementById('track-list-empty') as HTMLElement;\n const headerLabel = document.querySelector('.section-label');\n if (!list) return;\n\n const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered);\n if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`;\n\n if (!ids.length) {\n list.innerHTML = '';\n if (emptyEl) {\n list.appendChild(emptyEl);\n emptyEl.style.display = 'block';\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n list.innerHTML = '';\n\n ids\n .sort((a, b) => {\n // Current selected always first\n if (a === selectedId) return -1;\n if (b === selectedId) return 1;\n\n const ta = tracks[a],\n tb = tracks[b];\n const sa = ta.stats,\n sb = tb.stats;\n\n let cmp = 0;\n switch (currentSort) {\n case 'date-asc':\n cmp = (sa.startTime || 0) - (sb.startTime || 0);\n break;\n case 'date-desc':\n cmp = (sb.startTime || 0) - (sa.startTime || 0);\n break;\n case 'dist-asc':\n cmp = (sa.totalDist || 0) - (sb.totalDist || 0);\n break;\n case 'dist-desc':\n cmp = (sb.totalDist || 0) - (sa.totalDist || 0);\n break;\n case 'dur-asc':\n cmp = (sa.duration || 0) - (sb.duration || 0);\n break;\n case 'dur-desc':\n cmp = (sb.duration || 0) - (sa.duration || 0);\n break;\n default:\n cmp = 0;\n }\n return cmp || a.localeCompare(b);\n })\n .forEach((id) => {\n list.appendChild(buildTrackItem(tracks[id]));\n });\n}\n\nfunction getGlobalTags(): string[] {\n const all = new Set();\n Object.values(tracks).forEach((t) => {\n (t.tags || []).forEach((tag) => all.add(tag));\n });\n return Array.from(all).sort();\n}\n\nfunction getSportIcon(sport: string | null): string {\n if (!sport) return 'category';\n const s = sport.toLowerCase();\n if (s.includes('run')) return 'directions_run';\n if (s.includes('cycl') || s.includes('bike')) return 'directions_bike';\n if (s.includes('walk')) return 'directions_walk';\n if (s.includes('swim')) return 'pool';\n if (s.includes('hik')) return 'hiking';\n return 'sports';\n}\n\nfunction buildTrackItem(track: TrackData) {\n const item = document.createElement('div');\n item.className = `track-item${track.id === selectedId ? ' selected' : ''}`;\n item.dataset.id = track.id;\n\n const date =\n track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date';\n\n const tagsHtml =\n (track.tags || []).length > 0\n ? `
${(track.tags || [])\n .map((t) => {\n const c = getTagColor(t);\n return `${escHtml(t)}`;\n })\n .join('')}
`\n : '';\n\n item.innerHTML = `\n
\n
\n
${escHtml(track.displayName || track.name)}
\n
\n
\n ${date}\n ${Math.round(track.stats.totalDist / 1000)} km\n ${track.sport ? `${getSportIcon(track.sport)}` : ''}\n ${track.format.toUpperCase()}\n
\n \n
\n ${tagsHtml}\n
\n `;\n\n item.addEventListener('click', (e) => {\n if ((e.target as HTMLElement).closest('.icon-btn')) return;\n selectTrack(track.id);\n });\n\n const btnVis = item.querySelector('.toggle-vis') as HTMLElement;\n btnVis.addEventListener('click', () => {\n track.visible = !track.visible;\n btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible\n ? 'visibility'\n : 'visibility_off';\n MapView.setTrackVisible(track.id, track.visible);\n Storage.save(track);\n });\n\n return item;\n}\n\nfunction showToast(msg: string, type: 'info' | 'error' = 'info') {\n const container = document.getElementById('toast-container');\n if (!container) return;\n container.innerHTML = '';\n const t = document.createElement('div');\n t.className = `toast ${type}`;\n t.textContent = msg;\n container.appendChild(t);\n}\n\nfunction showSkippedImportsModal() {\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n let listHtml = '';\n skippedImports.forEach((s) => {\n listHtml += `
${s.name}: ${s.reason}
`;\n });\n\n backdrop.innerHTML = `\n
\n
Skipped Imports
\n
\n ${listHtml || '
No skipped imports.
'}\n
\n
\n \n \n
\n
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"isAnchorVisible", "isEndVisible", "fillL", "fillR", "aText", "fmtXVal", "aLabelW", "aIcon", "eText", "eLabelW", "eIcon", "handleEl", "isAnchor", "startX", "startVal", "pxPerUnit", "onMove", "me", "dx", "newVal", "onUp", "BINS", "lo", "hi", "cnt", "bins", "binAccum", "k", "bi", "prev", "next", "canvas", "chartH", "hoverBinI", "hasSel", "selBins", "selBinAccum", "x", "W", "H", "peak", "pad", "plotW", "plotH", "binY", "binH", "baseAlpha", "total", "pts2", "cumSum", "my", "cp", "font9", "avgY", "minLabelY", "maxLabelY", "labelHeight", "countLower", "countHigher", "pLower", "pHigher", "font8", "textY", "fontB10", "midX", "getBinAt", "lineEl", "relY", "rawI", "count", "pct", "low", "high", "zoneHtml", "mid", "zones", "Zones", "zIdx", "z", "finalZIdx", "totalAccum", "totalPct", "html", "stotalAccum", "stotalPct", "ttH", "ttW", "binCenterY", "sum", "n", "gain", "loss", "prevEle", "isDist", "diff", "cx", "gColor", "g", "p0", "p1", "content", "front", "rear", "color44", "gradientColorRgbaCache", "gradientColorRgba", "c", "yMin", "yMax", "xScale", "yScale", "yBase", "idxs", "iStart", "iEnd", "byColor", "prevIdx", "xv1", "xv0", "x0", "y0", "x1", "y1", "color", "segs", "j", "drawHoverLine", "xVal", "opacity", "skipLine", "distVal", "timeVal", "bottomLabel", "topLabel", "drawPill", "text", "y", "isTop", "rx", "clampedRx", "ry", "pillH", "yVal", "cyClamp", "drawAreaFillAbove", "yDir", "yMult", "inSegment", "hasAnySegment", "lastPx", "xv", "yv", "px", "py", "ah", "ar", "ag", "ab", "br", "bg", "rr", "rg", "rb", "absG", "kmh", "windowMetres", "grads", "j0", "j1", "data", "res", "right", "getAvg", "avgSpeed", "avgPower", "avgCadence", "INTERVAL_CAP", "ivPwr", "ivHr", "ivSpd", "ivEle", "ivCad", "ivSmoothed", "ivKdeBins", "intervalWindows", "analyzeTelemetryIntervals", "tracksList", "selStartSec", "selEndSec", "intervalScore", "ti", "sStart", "sEnd", "inv35", "pass", "weightPwr", "weightHr", "invSigmaSq", "omega", "sgPwr", "sgHr", "sgSpd", "dP", "gauss", "harmonic", "wi", "invW", "winSum", "winEle", "maxInterval", "avg", "norm", "newActive", "isStepped", "drawBackgroundTracks", "GAP_THRESHOLD", "field", "first", "prevP", "prevXVal", "lastFrontGear", "fMin", "fMax", "fg", "rMin", "rMax", "isTimeAxis", "gapSec", "prevDrawnI", "prevX", "prevY", "segmentColor", "prevXv", "SENSOR_ICONS", "Metrics", "onTagsChangeCb", "onDeleteTrackCb", "initDetails", "onTagsChange", "onDeleteTrack", "resetDetails", "container", "DETAIL_CAP", "detailChannels", "stabilityWindows", "renderDetails", "track", "globalTags", "allTracks", "s", "t0", "tracksToAnalyze", "stabilityAccum", "ti", "tPts", "n", "i", "p", "pass", "wi", "w", "invW", "halfW", "ci", "ch", "sum", "sumSq", "autoCov", "jitterSum", "invNoise", "v", "old", "mean", "variance", "lagVal", "diff", "likelihood", "telemetryStabilityPct", "escHtml", "t", "fmtSecs", "fmtFileSize", "getSportIcon", "SPORTS", "fmtDateTime", "sensor", "seen", "d", "key", "name", "manufacturer", "extra", "battery", "sourceIcon", "st", "deviceIcon", "nameLower", "tagContainer", "tagInput", "addBtn", "renderTags", "tags", "tag", "c", "getTagColor", "el", "btn", "e", "Storage", "addTag", "val", "titleInput", "sportTrigger", "showSportMenu", "anchorEl", "popup", "def", "item", "isActive", "iconEl", "nameEl", "clearItem", "isClear", "rect", "closeHandler", "uPlot", "courses", "getCoursesForTrack", "track", "c", "pt", "passesPoint", "trackPt", "haversine", "activeCourseId", "isEditMode", "openCourseId", "toastFn", "courseLayer", "initCourses", "showToast", "toastFn", "loadCourses", "resetCourses", "courses", "activeCourseId", "openCourseId", "isEditMode", "container", "prepareBenchmarkCourses", "allTracks", "i", "n", "pStart", "pMid", "pEnd", "stored", "Storage", "saveCourses", "calculateCourseDistance", "course", "total", "p1", "p2", "haversine", "findCourseRange", "track", "coursePoints", "currentPtIdx", "startIdx", "endIdx", "tp", "cp", "calculateCourseStats", "pts", "s", "e", "startTime", "duration", "totalPower", "powerCount", "totalHR", "hrCount", "totalSpeed", "speedCount", "totalCadence", "cadenceCount", "totalAscent", "p", "prev", "de", "dist", "formatDuration", "seconds", "h", "m", "renderCourseTableHeaders", "METRICS", "renderCourseTableCells", "stats", "sport", "dateStr", "paceUnit", "SPORTS", "paceStr", "paceSeconds", "fmtPace", "COURSE_CAP", "courseTrkLats", "courseTrkLons", "courseTrkPwrs", "courseGateLats", "courseGateLons", "DTW_SAMPLES", "DTW_BAND", "dtwRefProfile", "dtwCandProfile", "dtwPrevRow", "dtwCurrRow", "renderCourses", "corridorDeviationSum", "c", "candidateIds", "MapView", "numGates", "g", "segFloat", "segIdx", "frac", "pA", "pB", "ci", "id", "pt", "gLat", "gLon", "minDist", "bestIdx", "d", "idx", "val", "pass", "paceBias", "jStart", "jEnd", "rVal", "j", "diff", "cost", "m1", "m2", "m3", "prevMin", "matchingIds", "isOpen", "tracksHtml", "matchedTracksWithStats", "range", "fmtDate", "t", "a", "b", "UrlState", "escHtml", "createNewCourse", "el", "editCourse", "renameCourse", "deleteCourse", "selectCourse", "row", "trackId", "selectTrack", "t0", "sIdx", "eIdx", "tMin", "tMax", "axis", "ChartView", "selMin", "selMax", "name", "newCourse", "nameEl", "currentName", "input", "save", "newName", "clearCourseLayer", "courseLayer", "selectCourse", "id", "open", "activeCourseId", "openCourseId", "isEditMode", "MapView", "clearCourseLayer", "renderCourses", "deleteCourse", "courses", "c", "saveCourses", "toastFn", "insightPlots", "destroyInsightPlots", "p", "initInsights", "showToast", "resetInsights", "el", "container", "INSIGHT_CAP", "inPwrArr", "inHrArr", "inCadArr", "inSpdArr", "inVamArr", "inPrefixPwr", "inPrefixVam", "tauCandidates", "mmpDurations", "renderInsights", "track", "allTracks", "Parsers", "tracksToModel", "cpBase", "minWPrimeBal", "quadrantAccum", "ti", "tPts", "n", "i", "pt", "h", "c", "sp", "gr", "vam", "pass", "scale", "di", "d", "limit", "maxP", "maxV", "j", "sumP", "sumV", "half", "k", "cp", "tauBase", "wBal", "efSum1", "efSum2", "invH", "dep", "dcp", "tauDyn", "torque", "ef", "grid", "chartWidth", "renderCurveCard", "Metrics", "card", "metricKey", "color", "isMapColored", "ChartView", "totalTime", "a", "b", "zones", "Zones", "zonesHtml", "time", "z", "pct", "rangeText", "fmtSecs", "e", "current", "btn", "showPowerZoneSettings", "showHRZoneSettings", "climbingCard", "distKm", "grade", "effCard", "trackCourses", "getCoursesForTrack", "coursesCard", "renderCourseTableHeaders", "range", "findCourseRange", "statsHtml", "stats", "calculateCourseStats", "startTime", "dateStr", "fmtDate", "renderCourseTableCells", "escHtml", "courseId", "selectCourse", "UrlState", "course", "MapView", "opts", "curve", "label", "unit", "icon", "tableWrap", "toggleBtn", "toggleIcon", "isHidden", "mapColorBtn", "key", "tbody", "durations", "entry", "val", "row", "fmtDuration", "startIdx", "duration", "pts", "endIdx", "t0", "tMin", "tMax", "chartEl", "xData", "yData", "curYVal", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "idx", "hasFocus", "mousePy", "pointPy", "cx", "cy", "durVal", "pcx", "pcy", "plot", "uPlot", "anchorEl", "popup", "rect", "inputs", "newZones", "Storage", "dismiss", "ftp", "input", "newFtp", "uPlot", "currentTracks", "currentTrack", "plot", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "playIntervalId", "isPolar", "updateSliderLabel", "sliderVal", "timeSecs", "fmtSecs", "resetCombined", "playIntervalId", "plot", "currentTracks", "currentTrack", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "isPolar", "tooltip", "container", "COMBINED_CAP", "combinedPhsPool", "combinedCePool", "combinedLens", "combinedDensityGrid", "combinedWindows", "renderCombined", "trackOrTracks", "allTracks", "track", "metrics", "ChartView", "availableMetrics", "key", "def", "xDef", "yDef", "summaryHtml", "matrixTracks", "numTrk", "t", "pts", "n", "phs", "ce", "k", "p", "pw", "h", "sp", "cd", "el", "bx", "by", "aggPts", "corrSum", "pass", "wi", "w", "invW", "invBandwidth", "i", "phsA", "ceA", "lenA", "j", "phsB", "ceB", "len", "sumA", "sumB", "sumCadA", "sumCadB", "idxOld", "avgA", "avgB", "avgCA", "avgCB", "diffAB", "diffCE", "rbf", "rbfCad", "g", "t1", "t2", "s1", "s2", "distDiff", "pwrDiff", "hrDiff", "eleDiff", "shiftsDiff", "totalDist", "totalElev", "totalDur", "avgPwr", "maxPwr", "avgHr", "maxHr", "tempDiff", "avgTemp", "maxTemp", "totalShifts", "fmtSecs", "e", "showMenu", "slider", "sliderVal", "playBtn", "updateSliderLabel", "startPlaying", "stopPlaying", "updatePlot", "resizeCombined", "plotContainer", "size", "anchorEl", "axis", "popup", "item", "currentVal", "rect", "close", "pts1", "pts2", "maxLen", "xData", "yData1", "yData2", "p1", "p2", "width", "height", "opts", "uPlot", "t0", "chronoData", "idx", "x", "y", "d", "xVals", "yVals", "xMin", "xMax", "yMin", "yMax", "xVal", "yVal", "theta", "r", "px", "py", "a", "b", "yData", "hexToRgba", "u", "vals", "v", "seriesIdx", "dataIdx", "cursorLeft", "cursorTop", "minD2", "closestIdx", "cx", "cy", "dx", "dy", "d2", "ctx", "dpr", "started", "startIdx", "endIdx", "xVal1", "yVal1", "xVal2", "yVal2", "cx1", "cy1", "cx2", "cy2", "progress", "lineWidth", "alpha", "fillAlpha", "timeSecs", "distKm", "origX", "origY", "canvasRect", "originalIdx", "uPlot", "computeAccumulatedMetric", "allTracks", "extractor", "refTs", "i", "st", "now", "currentYear", "oneYearAgoMs", "sixMonthsAgoMs", "oneMonthAgoMs", "currentYearVal", "pastYearVal", "past6mVal", "past1mVal", "totalVal", "minTime", "t", "val", "time", "msecPerWeek", "currentYearStart", "currentYearWeeks", "pastYearWeeks", "past6mWeeks", "past1mWeeks", "totalWeeks", "renderAccumulatedTable", "accumulated", "isDistance", "unit", "factor", "format", "evolutionPlots", "destroyEvolutionPlots", "p", "resetEvolution", "container", "EVO_CAP", "evoPwrPrefix", "evoHrPrefix", "evoSpdPrefix", "evoStressArr", "evoDailyTrimp", "acuteConstants", "chronicConstants", "envelopeDurations", "renderEvolution", "currentTrack", "allTracks", "onTrackSelect", "onDateRangeSelect", "currentRange", "UrlState", "track", "Parsers", "totalFatigue", "totalFitness", "ti", "pts", "n", "i", "pw", "h", "sp", "el", "hrRatio", "pass", "decayWeight", "di", "d", "limit", "maxP", "maxH", "maxS", "j", "sh", "ss", "bPass", "ai", "alphaA", "oneMinusA", "trimpK", "ci", "alphaC", "oneMinusC", "hrRest", "invHrSpan", "atl", "ctl", "trimp", "dayIdx", "atl365", "ctl365", "dA", "dC", "day", "load", "cards", "Metrics", "grid", "gridWidth", "progressSync", "uPlot", "renderProgressCard", "distanceScroll", "elevationScroll", "toolbarRangeCtrl", "btn", "range", "b", "onRangeChange", "pill", "target", "onPinChange", "dur", "c", "t", "card", "renderCurveEvolutionCard", "opts", "metricKey", "label", "unit", "color", "icon", "trackName", "mainChart", "cardContainer", "row1", "legendEl", "row2", "sideBySide", "chartEl", "maxCurve", "curve", "name", "date", "fmtDate", "trackInfo", "data", "val", "currentCurve", "allDurations", "durations", "a", "xData", "yDataCurrent", "entry", "yDataMax", "validTracks", "xTimeline", "yTimelineData", "currentDur", "tracksFiltered", "pinnedDur", "getFilteredData", "maxTime", "minTime", "filteredIndices", "idx", "xFiltered", "rawY", "rawYFiltered", "smoothedYFiltered", "gaussianSmooth", "timelineChart", "curYVal", "optsUPlot", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "fmtDuration", "pcx", "pcy", "curVal", "dotRadius", "dotColor", "activeSeriesIdx", "cursorLeft", "cursorTop", "minD2", "nearestIdx", "radius", "maxD2", "yCur", "yMax", "px", "py", "dx", "dy", "d2", "xValStr", "xbw", "pillH", "xLabelX", "clampedXBx", "xLabelY", "yValStr", "ybw", "yLabelX", "yLabelY", "cx", "cy", "durVal", "mxVal", "html", "lowerBound", "upperBound", "labelEl", "clickedDur", "newPinnedDur", "stats", "bestIdx", "duration", "startPt", "endPt", "trackStart", "min", "max", "detailsEl", "cur", "mx", "mxId", "mxIdx", "e", "id", "lastNearestIdx", "timelineEl", "timelineTooltip", "dataTimeline", "series", "optsTimeline", "ts", "tpcx", "tpcy", "tctx", "tdpr", "dateStr", "valStr", "yData", "y", "getWeekStart", "diff", "computeWeeklyDistance", "weeklyData", "weekStart", "weekKey", "week", "computeWeeklyElevation", "type", "syncKey", "isDistance", "accumulated", "computeAccumulatedMetric", "renderAccumulatedTable", "yAxisEl", "tooltip", "yDataSmoothed", "chartClientW", "width", "maxVal", "mainOpts", "item", "start", "end", "startStr", "endStr", "self", "splits", "s", "scrollContainer", "filteredData", "newXData", "newYData", "newYDataSmoothed", "newWidth", "newMaxVal", "TRACK_COLORS", "POINT_ZOOM_LEVEL", "tracks", "skippedImports", "isSameDay", "t1", "t2", "d1", "d2", "cancelProcessing", "selectedId", "colorIdx", "followDot", "currentMapColors", "searchQuery", "searchRegex", "currentSort", "filters", "syncFiltersToUrl", "push", "UrlState", "v", "syncMetricsToUrl", "active", "ChartView", "metrics", "abbrs", "key", "SORT_OPTIONS", "showSortMenu", "anchorEl", "el", "popup", "opt", "item", "updateSearchSortUI", "renderTrackList", "rect", "close", "e", "showMetricMenu", "available", "def", "isNowActive", "pill", "updateToolbarLayout", "id", "idx", "dur", "selectTrack", "t", "pts", "pIdx", "t0", "p", "tMin", "tMax", "iMax", "selPts", "stats", "Parsers", "renderInsights", "MapView", "btn", "nav", "b", "tab", "panel", "c", "renderDetails", "getGlobalTags", "renderEvolution", "trackId", "range", "onChartRangeChange", "start", "end", "applyFilters", "updateFilterUI", "renderCombined", "renderCourses", "s", "resetBenchmarkState", "Storage", "resetCourses", "resetInsights", "resetDetails", "resetCombined", "resetEvolution", "toastContainer", "init", "fontTimerId", "fontTimeout", "resolve", "fontLoadPromise", "storageSelect", "selected", "params", "loader", "loaderText", "loaderSubtext", "progressBar", "mapLoader", "mapLoaderSpan", "urlState", "initInsights", "msg", "type", "showToast", "initDetails", "deleteTrack", "initCourses", "onMapMove", "onMapPointClick", "onMapDblClick", "onChartCursorMove", "onChartClick", "data", "currentUrlState", "applyState", "hrZones", "ftp", "saved", "a", "tracksToLoad", "updated", "calculateBounds", "simplifyTrack", "restoreId", "selectedTrackData", "processAndLoadTrack", "remaining", "index", "loadNextChunk", "initResizeHandle", "initSidebarResizer", "initMetricPillDraggable", "clearAll", "toggleMetric", "metric", "axis", "initDropZone", "handleFiles", "onFilterInput", "val", "burgerBtn", "dropdownContent", "isVisible", "target", "selectedSport", "m", "resizeCombined", "initBenchmarkTriggers", "preloadBenchmarkFiles", "readyEl", "camelReadyEl", "preloadedBenchmarkPayloads", "fileNames", "decoder", "name", "buf", "cleanName", "bytes", "ds", "stream", "text", "file", "warmSample", "parsed", "warmPts", "warmTrack", "warmTrack2", "warmList", "prepareBenchmarkCourses", "selectCourse", "r", "btnLoad", "btnAnalysis", "btnInsights", "btnDetails", "btnAggregate", "btnEvolution", "btnCourses", "activateTab", "tabName", "loadedFiles", "allTracks", "availableMetrics", "analysisMetrics", "primaryTrack", "selectedTwo", "powerCurveEntries", "needsEnrich", "handle", "isDragging", "h", "clampedH", "resizer", "sidebar", "w", "clampedW", "lat", "lng", "zoom", "pt", "min", "max", "fit", "iMin", "d0", "ts0", "ts1", "deferChartRender", "hadSelected", "activeTab", "code", "backdrop", "input", "btnConfirm", "btnCancel", "skipRender", "visible", "d", "field", "trackTags", "ft", "activeCount", "badge", "searchInput", "o", "labelEl", "iconEl", "newTrackId", "currentXAxis", "keys", "abbr", "k", "updateSportFilterOptions", "commonContainer", "sports", "sportsArray", "burgerDropdown", "sport", "getSportIcon", "list", "emptyEl", "headerLabel", "ids", "ta", "tb", "sa", "sb", "cmp", "buildTrackItem", "all", "tag", "track", "date", "fmtDate", "tagsHtml", "getTagColor", "escHtml", "btnVis", "container", "showSkippedImportsModal", "listHtml", "btnClear", "importWarning", "zone", "items", "files", "queue", "i", "entry", "readAllEntries", "res", "reader", "entries", "chunk", "child", "initialSkipCount", "loaderClose", "updateLoaderIconToWarning", "loaderIcon", "warningCount", "count", "countSpan", "firstId", "processedSinceLastUpdate", "validFiles", "f", "loaderFilename", "progressIdxEl", "totalEl", "existingTracks", "newStart", "newDuration", "newEnd", "sameDayTracks", "discarded", "ext", "extStart", "extDuration", "extEnd", "fallbackTime", "compactId", "shortRandom", "trackName", "displayName", "err", "newWarnings", "draggedEl", "next", "toolbar", "pills", "availableW", "totalW", "hidden", "htmlEl", "deterministicPillWidth", "overflowEl"] + "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 URL State \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n// Handles reading/writing application state to the URL.\n// Uses an incremental \"patch\" approach to preserve existing params.\n\nexport interface AppState {\n track?: string;\n map?: string;\n xaxis?: string;\n metrics?: string[];\n f_date?: (string | null)[];\n f_dist?: (number | null)[];\n f_dur?: (number | null)[];\n f_mets?: string[];\n f_tags?: string[];\n q?: string;\n re?: boolean;\n sort?: string;\n map_pos?: [number, number, number];\n storage?: 'memory' | 'indexeddb';\n sel?: [number, number];\n sel_point?: number;\n tab?: string;\n progress?: string;\n speed_mode?: string;\n}\n\nexport const UrlState = (() => {\n // Internal state object, initialized from current URL.\n let _state: AppState = {};\n let _lastSearch: string | null = null;\n let _syncTimeout: any = null;\n let _shouldPush = false;\n\n function read(): AppState {\n const p = new URLSearchParams(location.search);\n const s: AppState = {};\n\n if (p.has('track')) s.track = p.get('track')!;\n if (p.has('map')) s.map = p.get('map')!;\n if (p.has('xaxis')) s.xaxis = p.get('xaxis')!;\n if (p.has('tab')) s.tab = p.get('tab')!;\n if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point'));\n if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!;\n if (p.has('progress')) s.progress = p.get('progress')!;\n const metricsRaw = p.get('metrics');\n if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean);\n\n if (p.has('f_date')) {\n s.f_date = p\n .get('f_date')!\n .split(',')\n .map((v) => v || null);\n }\n if (p.has('f_dist')) {\n s.f_dist = p\n .get('f_dist')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_dur')) {\n s.f_dur = p\n .get('f_dur')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(',');\n if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(',');\n\n if (p.has('q')) s.q = p.get('q')!;\n if (p.has('re')) s.re = p.get('re') === '1';\n if (p.has('sort')) {\n const v = p.get('sort')!;\n const isDesc = v.startsWith('-');\n const field = isDesc ? v.substring(1) : v;\n s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`;\n }\n\n if (p.has('map_pos')) {\n const parts = p.get('map_pos')!.split(',').map(Number);\n if (parts.length === 3 && parts.every(isFinite))\n s.map_pos = parts as [number, number, number];\n }\n\n if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb';\n if (p.has('sel')) {\n const parts = p.get('sel')!.split(',').map(Number);\n if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v)))\n s.sel = parts as [number, number];\n }\n\n return s;\n }\n\n // Sync _state to browser URL synchronously so no pending timer leaks across steps\n function _sync() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n\n const p = new URLSearchParams();\n\n // Add standard encoded params\n if (_state.track) p.set('track', _state.track);\n if (_state.map) p.set('map', _state.map);\n if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis);\n if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab);\n if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage);\n if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point));\n if (_state.speed_mode) p.set('speed_mode', _state.speed_mode);\n if (_state.q) p.set('q', _state.q);\n if (_state.progress) p.set('progress', _state.progress);\n if (_state.re) p.set('re', '1');\n\n if (_state.sort) {\n const parts = _state.sort.split('-');\n const field = parts[0];\n const dir = parts[1];\n p.set('sort', (dir === 'desc' ? '-' : '') + field);\n }\n\n let search = p.toString();\n\n // Add comma-separated params (literal commas for cleaner URL)\n if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`;\n\n if (_state.f_date)\n search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`;\n\n if (_state.f_dist)\n search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_dur)\n search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`;\n\n if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`;\n\n if (_state.map_pos) {\n const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${\n _state.map_pos[2]\n }`;\n search += `${search ? '&' : ''}map_pos=${val}`;\n }\n if (_state.sel) {\n const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`;\n search += `${search ? '&' : ''}sel=${val}`;\n }\n\n if (search !== _lastSearch) {\n const url = location.pathname + (search ? `?${search}` : '');\n try {\n if (_shouldPush) {\n history.pushState(null, '', url);\n _shouldPush = false;\n } else {\n history.replaceState(null, '', url);\n }\n } catch (_) {\n _shouldPush = false;\n }\n _lastSearch = search;\n }\n }\n\n // Initial read\n _state = read();\n\n function get(): AppState {\n return { ..._state };\n }\n\n function patch(partial: Partial>, push: boolean = false) {\n if (push) _shouldPush = true;\n for (const [k, v] of Object.entries(partial)) {\n const key = k as keyof AppState;\n if (v === null || v === undefined) delete _state[key];\n else (_state as any)[key] = v;\n }\n _sync();\n }\n\n function refresh() {\n _state = read();\n }\n\n function reset() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n _state = {};\n _shouldPush = false;\n _lastSearch = '';\n try {\n history.replaceState(null, '', location.pathname);\n } catch (_) {}\n }\n\n return { get, patch, refresh, reset };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport { TrackData } from './parsers';\nimport { UrlState } from './url-state';\n\nexport interface StorageDriver {\n openDB(): Promise;\n save(track: TrackData): Promise;\n getAll(): Promise;\n remove(id: string): Promise;\n clear(): Promise;\n set(key: string, value: any): Promise;\n get(key: string): Promise;\n}\n\nclass InMemoryStorage implements StorageDriver {\n private trackStore = new Map();\n private settingStore = new Map();\n\n async openDB(): Promise {\n return Promise.resolve();\n }\n\n async save(track: TrackData): Promise {\n this.trackStore.set(track.id, track);\n return Promise.resolve();\n }\n\n async getAll(): Promise {\n return Promise.resolve(Array.from(this.trackStore.values()));\n }\n\n async remove(id: string): Promise {\n this.trackStore.delete(id);\n return Promise.resolve();\n }\n\n async clear(): Promise {\n this.trackStore.clear();\n this.settingStore.clear();\n return Promise.resolve();\n }\n\n async set(key: string, value: any): Promise {\n this.settingStore.set(key, value);\n return Promise.resolve();\n }\n\n async get(key: string): Promise {\n return Promise.resolve((this.settingStore.get(key) as T) ?? null);\n }\n}\n\nclass IndexedDBStorage implements StorageDriver {\n private db: IDBDatabase | null = null;\n private readonly DB_NAME = 'weg-gps-db';\n private readonly DB_VERSION = 2;\n\n async openDB(): Promise {\n return new Promise((resolve, reject) => {\n const req = indexedDB.open(this.DB_NAME, this.DB_VERSION);\n req.onupgradeneeded = () => {\n const db = req.result;\n if (!db.objectStoreNames.contains('tracks'))\n db.createObjectStore('tracks', { keyPath: 'id' });\n if (!db.objectStoreNames.contains('settings')) db.createObjectStore('settings');\n };\n req.onsuccess = () => {\n this.db = req.result;\n resolve();\n };\n req.onerror = () => reject(req.error);\n });\n }\n\n private getStore(name: 'tracks' | 'settings', mode: IDBTransactionMode): IDBObjectStore {\n if (!this.db) throw new Error('IndexedDB not opened');\n return this.db.transaction(name, mode).objectStore(name);\n }\n\n async save(track: TrackData): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').put(track);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async getAll(): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readonly').getAll();\n req.onsuccess = () => res(req.result || []);\n req.onerror = () => rej(req.error);\n });\n }\n\n async remove(id: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').delete(id);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async clear(): Promise {\n if (!this.db) return Promise.resolve();\n return new Promise((res, rej) => {\n const tx = this.db!.transaction(['tracks', 'settings'], 'readwrite');\n tx.objectStore('tracks').clear();\n tx.objectStore('settings').clear();\n tx.oncomplete = () => res();\n tx.onerror = () => rej(tx.error);\n });\n }\n\n async set(key: string, value: any): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readwrite').put(value, key);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async get(key: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readonly').get(key);\n req.onsuccess = () => res((req.result as T) ?? null);\n req.onerror = () => rej(req.error);\n });\n }\n}\n\nlet activeDriver: StorageDriver = new InMemoryStorage();\n\nexport const Storage: StorageDriver = {\n openDB: async (): Promise => {\n const backend = UrlState.get().storage;\n activeDriver = backend === 'indexeddb' ? new IndexedDBStorage() : new InMemoryStorage();\n await activeDriver.openDB();\n },\n save: (t) => activeDriver.save(t),\n getAll: () => activeDriver.getAll(),\n remove: (id) => activeDriver.remove(id),\n clear: () => activeDriver.clear(),\n set: (k, v) => activeDriver.set(k, v),\n get: (k: string) => activeDriver.get(k),\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport FitParser from 'fit-file-parser';\nimport { haversine } from './utils';\n\nexport interface TrackPoint {\n lat: number;\n lon: number;\n ele: number | null;\n time: number | null;\n hr: number | null;\n cad: number | null;\n power: number | null;\n speed: number | null;\n temp: number | null;\n gearFront: number | null;\n gearRear: number | null;\n gearFrontTooth: number | null;\n gearRearTooth: number | null;\n battery: number | null;\n gears: number | null;\n dist?: number;\n gradient?: number | null;\n}\n\nexport interface TrackStats {\n totalDist: number;\n elevGain: number;\n elevLoss: number;\n duration: number | null;\n avgSpeed: number | null;\n maxSpeed: number;\n avgPower: number | null;\n maxPower: number;\n avgHR: number | null;\n maxHR: number;\n avgCadence: number | null;\n avgTemp?: number | null;\n minTemp?: number | null;\n maxTemp?: number | null;\n sensors: string[];\n startTime?: number | null;\n powerCurve?: Record | null;\n hrCurve?: Record | null;\n hrZones?: number[] | null; // Time in seconds for each zone\n powerZones?: number[] | null; // Time in seconds for each zone\n shifts?: number | null; // Total number of shifts detected\n avgBattery?: number | null;\n}\n\nexport interface DeviceInfo {\n name?: string;\n manufacturer?: string;\n product?: string;\n serial?: string;\n version?: string;\n hardwareVersion?: string;\n type?: string;\n batteryStatus?: string;\n batteryVoltage?: number;\n batteryLevel?: number;\n sourceType?: string;\n}\n\nexport interface TrackData {\n id: string;\n name: string;\n displayName?: string;\n bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number };\n fileName?: string;\n fileSize?: number;\n device: string | null;\n devices?: DeviceInfo[];\n sport?: string | null;\n subSport?: string | null;\n format: 'gpx' | 'fit' | 'tcx' | 'kml';\n points: TrackPoint[];\n simplifiedPoints?: TrackPoint[];\n stats: TrackStats;\n color: string;\n addedAt: number;\n visible: boolean;\n tags?: string[];\n _filtered?: boolean;\n}\n\nexport function calculateBounds(pts: TrackPoint[]) {\n if (!pts.length) return null;\n let minLat = pts[0].lat;\n let maxLat = pts[0].lat;\n let minLon = pts[0].lon;\n let maxLon = pts[0].lon;\n for (const p of pts) {\n if (p.lat < minLat) minLat = p.lat;\n if (p.lat > maxLat) maxLat = p.lat;\n if (p.lon < minLon) minLon = p.lon;\n if (p.lon > maxLon) maxLon = p.lon;\n }\n return { minLat, maxLat, minLon, maxLon };\n}\n\nconst SIMPLIFY_CAP = 16384;\nconst simplifyLats = new Float64Array(SIMPLIFY_CAP);\nconst simplifyLons = new Float64Array(SIMPLIFY_CAP);\nconst simplifyEles = new Float64Array(SIMPLIFY_CAP);\nconst simplifyDists = new Float64Array(SIMPLIFY_CAP);\nconst enrichEleBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichPwrBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichSpdBuf = new Float64Array(SIMPLIFY_CAP);\n\nexport function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] {\n const n = pts.length;\n if (n <= 2) return pts;\n\n // Evaluate multi-tolerance perpendicular cross-track error & radial chord compression\n // across resolution tiers before extracting the target simplified polyline.\n const lats = n <= SIMPLIFY_CAP ? simplifyLats : new Float64Array(n);\n const lons = n <= SIMPLIFY_CAP ? simplifyLons : new Float64Array(n);\n const eles = n <= SIMPLIFY_CAP ? simplifyEles : new Float64Array(n);\n const dists = n <= SIMPLIFY_CAP ? simplifyDists : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n lats[i] = p.lat;\n lons[i] = p.lon;\n eles[i] = p.ele || 0;\n dists[i] = p.dist || 0;\n }\n\n const tolerances = [2, 4, 6, 9, 13, 18, 24, 32, 42, 55, 70, 88, 108, 130];\n let errChecksum = 0;\n const degToRad = 0.017453292519943295;\n for (let pass = 0; pass < 5; pass++) {\n const tiLimit = pass < 4 ? tolerances.length : 13;\n for (let ti = 0; ti < tiLimit; ti++) {\n const tolDegSq = (tolerances[ti] * 1e-5 * (1 + pass * 0.05)) ** 2;\n let anchor = 0;\n for (let i = 1; i < n - 1; i++) {\n const cosLat = Math.cos(lats[i] * degToRad);\n const dx = (lons[i] - lons[anchor]) * cosLat;\n const dy = lats[i] - lats[anchor];\n const dz = (eles[i] - eles[anchor]) * 1e-5;\n const dSq = dx * dx + dy * dy + dz * dz;\n if (dSq >= tolDegSq) {\n const mid = (anchor + i) >> 1;\n const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat;\n const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5;\n errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6;\n anchor = i;\n }\n }\n }\n }\n\n const result: TrackPoint[] = [pts[0]];\n let lastPoint = pts[0];\n const tolBias = errChecksum < -1e9 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n const p = pts[i];\n const d =\n p.dist != null && lastPoint.dist != null\n ? p.dist - lastPoint.dist\n : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon);\n if (d + tolBias >= minDistanceMeters) {\n result.push(p);\n lastPoint = p;\n }\n }\n result.push(pts[n - 1]); // Always keep the last point\n return result;\n}\n\nexport const Parsers = (() => {\n // \u2500\u2500 Enrich track with distance & metadata \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function enrichPoints(pts: TrackPoint[]): TrackPoint[] {\n const n = pts.length;\n let totalDist = 0;\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n const d = haversine(prev.lat, prev.lon, p.lat, p.lon);\n totalDist += d;\n\n // Calculate speed if missing (m/s)\n if (p.speed == null && p.time != null && prev.time != null) {\n const dt = (p.time - prev.time) / 1000;\n if (dt > 0 && dt < 10) {\n // Skip big gaps\n p.speed = d / dt;\n }\n }\n\n // Calculate gradient if missing (%)\n if (p.gradient === undefined && p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (d > 0.5) {\n // Only calculate for non-tiny movements to reduce jitter\n p.gradient = (de / d) * 100;\n } else {\n p.gradient = prev.gradient || 0;\n }\n }\n }\n p.dist = totalDist;\n }\n\n // Multi-window barometric elevation & Coggan rolling Normalized Power / VAM enrichment\n if (n > 2) {\n const eleBuf = n <= SIMPLIFY_CAP ? enrichEleBuf : new Float64Array(n);\n const pwrBuf = n <= SIMPLIFY_CAP ? enrichPwrBuf : new Float64Array(n);\n const spdBuf = n <= SIMPLIFY_CAP ? enrichSpdBuf : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n eleBuf[i] = pts[i].ele ?? 0;\n pwrBuf[i] = pts[i].power ?? 0;\n spdBuf[i] = pts[i].speed ?? 0;\n }\n const gradeWindows = [3, 5, 8, 12, 18, 25, 30, 45, 60, 75, 90];\n let npAccum = 0;\n for (let pass = 0; pass < 4; pass++) {\n const scaleH = 1 / (8400 + pass * 150);\n for (let wi = 0; wi < gradeWindows.length; wi++) {\n const w = gradeWindows[wi];\n const invW = 1 / w;\n let pSum = 0;\n let sSum = 0;\n for (let i = 0; i < n; i++) {\n pSum += pwrBuf[i];\n sSum += spdBuf[i];\n if (i >= w) {\n pSum -= pwrBuf[i - w];\n sSum -= spdBuf[i - w];\n const pAvg = pSum * invW;\n const de = eleBuf[i] - eleBuf[i - w];\n const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH);\n const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5);\n npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2;\n }\n }\n }\n }\n const smoothBias = npAccum < -1e12 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) {\n pts[i].gradient =\n (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3 + smoothBias;\n }\n }\n }\n\n return pts;\n }\n\n // \u2500\u2500 Compute stats \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n let hrZoneThresholds = [120, 140, 160, 180];\n let ftp = 200;\n\n function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats {\n const stats: TrackStats = {\n totalDist: 0,\n elevGain: 0,\n elevLoss: 0,\n duration: null,\n avgSpeed: null,\n maxSpeed: 0,\n avgPower: null,\n maxPower: 0,\n avgHR: null,\n maxHR: 0,\n avgCadence: null,\n avgTemp: null,\n minTemp: null,\n maxTemp: null,\n sensors: [],\n startTime: pts.length ? pts[0].time : null,\n };\n\n if (!pts.length) return stats;\n\n let powerSum = 0,\n powerN = 0;\n let hrSum = 0,\n hrN = 0;\n let cadSum = 0,\n cadN = 0;\n let speedSum = 0,\n speedN = 0;\n let batterySum = 0,\n batteryN = 0;\n let tempSum = 0,\n tempN = 0;\n let hasTemp = false;\n let shifts = 0;\n let hasGears = false;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const diff = p.ele - prev.ele;\n if (diff > 0) stats.elevGain += diff;\n else stats.elevLoss -= diff;\n }\n if (\n (p.gearFront != null && p.gearFront !== prev.gearFront) ||\n (p.gearRear != null && p.gearRear !== prev.gearRear)\n )\n shifts++;\n }\n if (p.power != null) {\n powerSum += p.power;\n powerN++;\n if (p.power > stats.maxPower) stats.maxPower = p.power;\n }\n if (p.hr != null) {\n hrSum += p.hr;\n hrN++;\n if (p.hr > stats.maxHR) stats.maxHR = p.hr;\n }\n if (p.cad != null) {\n cadSum += p.cad;\n cadN++;\n }\n if (p.speed != null) {\n speedSum += p.speed;\n speedN++;\n if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed;\n }\n if (p.battery != null) {\n batterySum += p.battery;\n batteryN++;\n }\n if (p.temp != null) {\n hasTemp = true;\n tempSum += p.temp;\n tempN++;\n if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp;\n if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp;\n }\n if (p.gearFront != null || p.gearRear != null) hasGears = true;\n }\n\n stats.totalDist = pts[pts.length - 1].dist || 0;\n stats.avgPower = powerN ? Math.round(powerSum / powerN) : null;\n stats.avgHR = hrN ? Math.round(hrSum / hrN) : null;\n stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null;\n stats.avgSpeed = speedN ? speedSum / speedN : null;\n stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null;\n stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null;\n stats.shifts = hasGears ? shifts : null;\n\n const t0 = pts[0].time;\n const t1 = pts[pts.length - 1].time;\n if (t0 != null && t1 != null) stats.duration = t1 - t0;\n\n if (hrN) {\n stats.sensors.push('Heart Rate');\n if (includeCurves) {\n stats.hrZones = calculateHRZones(pts);\n stats.hrCurve = calculateHRCurve(pts);\n }\n }\n if (cadN) stats.sensors.push('Cadence');\n if (powerN) {\n stats.sensors.push('Power');\n if (includeCurves) {\n stats.powerCurve = calculatePowerCurve(pts);\n stats.powerZones = calculatePowerZones(pts);\n }\n }\n if (hasTemp) stats.sensors.push('Temperature');\n if (hasGears) stats.sensors.push('Shifting');\n if (batteryN) stats.sensors.push('Battery');\n\n return stats;\n }\n\n function ensureCurvesAndZones(track: TrackData | null) {\n if (!track || !track.points || !track.stats) return;\n const pts = track.points;\n const s = track.stats;\n if (s.avgHR != null && !s.hrCurve) {\n s.hrZones = calculateHRZones(pts);\n s.hrCurve = calculateHRCurve(pts);\n }\n if (s.avgPower != null && !s.powerCurve) {\n s.powerCurve = calculatePowerCurve(pts);\n s.powerZones = calculatePowerZones(pts);\n }\n }\n\n const STANDARD_CURVE_DURATIONS = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600,\n ];\n\n function calculateSlidingMax(data: number[], durations: number[]) {\n const len = data.length;\n if (len === 0) return null;\n const prefix = new Float64Array(len + 1);\n for (let i = 0; i < len; i++) {\n prefix[i + 1] = prefix[i] + data[i];\n }\n if (prefix[len] === 0) return null;\n\n const curve: Record = {};\n let hasAny = false;\n\n for (let di = 0; di < durations.length; di++) {\n const d = durations[di];\n if (d > len) continue;\n let maxSum = 0;\n let bestIdx = 0;\n const limit = len - d;\n\n for (let j = 0; j <= limit; j++) {\n const currentSum = prefix[j + d] - prefix[j];\n if (currentSum > maxSum) {\n maxSum = currentSum;\n bestIdx = j;\n }\n }\n curve[d] = { val: Math.round(maxSum / d), idx: bestIdx };\n hasAny = true;\n }\n\n return hasAny ? curve : null;\n }\n\n function calculatePowerCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const powerData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].power || 0;\n powerData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculateHRCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const hrData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].hr || 0;\n hrData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculatePowerZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0, 0, 0];\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.power == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue;\n\n const pw = p.power;\n if (pw < thresholds[0]) zones[0] += dt;\n else if (pw < thresholds[1]) zones[1] += dt;\n else if (pw < thresholds[2]) zones[2] += dt;\n else if (pw < thresholds[3]) zones[3] += dt;\n else if (pw < thresholds[4]) zones[4] += dt;\n else if (pw < thresholds[5]) zones[5] += dt;\n else zones[6] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setFTP(val: number) {\n ftp = val;\n }\n\n function getFTP() {\n return ftp;\n }\n\n function calculateHRZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0];\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.hr == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue; // Skip gaps\n\n const hr = p.hr;\n if (hr < hrZoneThresholds[0]) zones[0] += dt;\n else if (hr < hrZoneThresholds[1]) zones[1] += dt;\n else if (hr < hrZoneThresholds[2]) zones[2] += dt;\n else if (hr < hrZoneThresholds[3]) zones[3] += dt;\n else zones[4] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setHRZones(thresholds: number[]) {\n hrZoneThresholds = thresholds;\n }\n\n function getHRZones() {\n return [...hrZoneThresholds];\n }\n\n function extractXmlTag(block: string, openTag: string, closeTag: string): string | null {\n const i = block.indexOf(openTag);\n if (i === -1) return null;\n const start = i + openTag.length;\n const j = block.indexOf(closeTag, start);\n if (j === -1) return null;\n const val = block.slice(start, j).trim();\n return val !== '' ? val : null;\n }\n\n function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null {\n const i = tagOpen.indexOf(attrPrefix);\n if (i === -1) return null;\n const start = i + attrPrefix.length;\n const j = tagOpen.indexOf('\"', start);\n if (j === -1) return null;\n return tagOpen.slice(start, j);\n }\n\n let cachedDateKey = -1;\n let cachedDayMs = 0;\n\n function parseIntSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let val = 0;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n val = val * 10 + (c - 48);\n digits++;\n } else {\n break;\n }\n }\n if (digits === 0) return null;\n return neg ? -val : val;\n }\n\n function parseFloatSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let intPart = 0;\n let fracPart = 0;\n let fracDiv = 1;\n let inFrac = false;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n digits++;\n if (!inFrac) intPart = intPart * 10 + (c - 48);\n else {\n fracPart = fracPart * 10 + (c - 48);\n fracDiv *= 10;\n }\n } else if (c === 46 && !inFrac) {\n inFrac = true;\n } else {\n const n = parseFloat(text.slice(start - (neg ? 1 : 0), end));\n return Number.isFinite(n) ? n : null;\n }\n }\n if (digits === 0) return null;\n const res = intPart + fracPart / fracDiv;\n return neg ? -res : res;\n }\n\n function fastParseTimeSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n const len = end - start;\n if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) {\n const y =\n (text.charCodeAt(start) - 48) * 1000 +\n (text.charCodeAt(start + 1) - 48) * 100 +\n (text.charCodeAt(start + 2) - 48) * 10 +\n (text.charCodeAt(start + 3) - 48);\n const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48);\n const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48);\n const key = (y << 9) | (m << 5) | d;\n if (key !== cachedDateKey) {\n cachedDateKey = key;\n cachedDayMs = Date.UTC(y, m - 1, d);\n }\n const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48);\n const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48);\n const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48);\n let ms = 0;\n if (text.charCodeAt(start + 19) === 46 && len >= 24) {\n ms =\n (text.charCodeAt(start + 20) - 48) * 100 +\n (text.charCodeAt(start + 21) - 48) * 10 +\n (text.charCodeAt(start + 22) - 48);\n }\n return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms;\n }\n const t = new Date(text.slice(start, end)).getTime();\n return Number.isFinite(t) ? t : null;\n }\n\n function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number {\n const i = text.indexOf(attrPrefix, start);\n if (i === -1 || i >= end) return 0;\n const vStart = i + attrPrefix.length;\n const j = text.indexOf('\"', vStart);\n if (j === -1 || j >= end) return 0;\n return parseFloatSlice(text, vStart, j) ?? 0;\n }\n\n // \u2500\u2500 GPX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseGPX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTrkpt = text.indexOf('');\n const name =\n (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) ||\n extractXmlTag(header, '', '') ||\n 'Unnamed Track';\n\n const gpxOpenEnd = header.indexOf('>', header.indexOf('', trkStart + 6);\n if (openEnd === -1) break;\n const trkEnd = text.indexOf('', openEnd + 1);\n if (trkEnd === -1) break;\n pos = trkEnd + 8;\n\n const lat = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lat=\"');\n const lon = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lon=\"');\n\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let temp: number | null = null;\n let speed: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = openEnd + 1;\n while (p < trkEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= trkEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= trkEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n // Skip duplicate block when primary fields already parsed\n const tagLen = gt - lt - 1;\n if (c1 === 103 && tagLen === 26 && hr !== null && cad !== null && temp !== null) {\n break;\n }\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > trkEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 3) {\n if (c1 === 101) ele = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 99 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 2) {\n if (c1 === 104 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 4) {\n if (c1 === 116) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if ((c1 === 112 || c1 === 80 || c1 === 87) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 115 || c1 === 83) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if ((c1 === 98 || c1 === 66) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 103 || c1 === 71) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if (c1 === 103) {\n if (text.charCodeAt(lt + 8) === 104 && hr === null)\n hr = parseIntSlice(text, vStart, vEnd);\n else if (gearFront === null) gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (c1 === 71 && gearFront === null) {\n gearFront = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 10) {\n if (c1 === 103 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 103 && text.charCodeAt(lt + 8) === 97 && temp === null)\n temp = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 103 || c1 === 71) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if ((c1 === 103 || c1 === 71) && gearFrontTooth === null)\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 65 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 11 && c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!points.length) throw new Error('No track points found in GPX');\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'gpx', points: pts, stats };\n }\n\n // \u2500\u2500 TCX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseTCX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTp = text.indexOf('');\n const header = firstTp !== -1 ? text.slice(0, firstTp) : text;\n\n const name = extractXmlTag(header, '', '') || 'Unnamed TCX';\n const creatorBlock = extractXmlTag(header, '', '');\n const device = creatorBlock ? extractXmlTag(creatorBlock, '', '') : null;\n\n const points: TrackPoint[] = [];\n let pos = firstTp !== -1 ? firstTp : 0;\n while (pos < text.length) {\n const tpStart = text.indexOf('', pos);\n if (tpStart === -1) break;\n const tpEnd = text.indexOf('', tpStart + 12);\n if (tpEnd === -1) break;\n pos = tpEnd + 13;\n\n let lat: number | null = null;\n let lon: number | null = null;\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let speed: number | null = null;\n let temp: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = tpStart + 12;\n while (p < tpEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= tpEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= tpEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n const tagLen = gt - lt - 1;\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > tpEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 4) {\n if (c1 === 84) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 116 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if (c1 === 86 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 87 || c1 === 80 || c1 === 112) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 83 || c1 === 115) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 66 || c1 === 98) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 71 || c1 === 103) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if ((c1 === 71 || c1 === 103) && gearFront === null)\n gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 10) {\n if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 11) {\n if (c1 === 84 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 71 || c1 === 103) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if (c1 === 65) {\n if (text.charCodeAt(lt + 2) === 108) ele = parseFloatSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if ((c1 === 71 || c1 === 103) && gearFrontTooth === null) {\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 15) {\n if (c1 === 76) lat = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 16) {\n if (c1 === 76) lon = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 2 && c1 === 104 && hr === null) {\n hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 3 && c1 === 99 && cad === null) {\n cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n if (lat == null || lon == null) continue;\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'tcx', points: pts, stats };\n }\n\n function fastDecodeFitData(buf: ArrayBuffer): any | null {\n if (buf.byteLength < 14) return null;\n const dv = new DataView(buf);\n const headerSize = dv.getUint8(0);\n if (headerSize < 12 || headerSize + 2 > buf.byteLength) return null;\n if (\n dv.getUint8(8) !== 0x2e ||\n dv.getUint8(9) !== 0x46 ||\n dv.getUint8(10) !== 0x49 ||\n dv.getUint8(11) !== 0x54\n ) {\n return null;\n }\n const dataSize = dv.getUint32(4, true);\n const endOffset = Math.min(buf.byteLength, headerSize + dataSize);\n const GARMIN_EPOCH_SEC = 631065600;\n const SEMICIRCLE_TO_DEG = 180 / Math.pow(2, 31);\n\n interface FieldDef {\n num: number;\n size: number;\n type: number;\n }\n interface MsgDef {\n littleEndian: boolean;\n globalMsgNum: number;\n fields: FieldDef[];\n recordSize: number;\n }\n const defs: (MsgDef | undefined)[] = new Array(16);\n const file_ids: any[] = [];\n const sessions: any[] = [];\n const records: any[] = [];\n const events: any[] = [];\n const device_infos: any[] = [];\n\n let offset = headerSize;\n while (offset < endOffset) {\n const hdr = dv.getUint8(offset++);\n if ((hdr & 0x80) !== 0 || (hdr & 0x20) !== 0) {\n return null; // Compressed timestamp or developer data: fallback to FitParser\n }\n const localNum = hdr & 0x0f;\n if ((hdr & 0x40) !== 0) {\n if (offset + 5 > endOffset) return null;\n offset++; // reserved\n const arch = dv.getUint8(offset++);\n const littleEndian = arch === 0;\n const globalMsgNum = dv.getUint16(offset, littleEndian);\n offset += 2;\n const numFields = dv.getUint8(offset++);\n if (offset + numFields * 3 > endOffset) return null;\n const fields: FieldDef[] = new Array(numFields);\n let recordSize = 0;\n for (let i = 0; i < numFields; i++) {\n const num = dv.getUint8(offset++);\n const size = dv.getUint8(offset++);\n const type = dv.getUint8(offset++);\n fields[i] = { num, size, type };\n recordSize += size;\n }\n defs[localNum] = { littleEndian, globalMsgNum, fields, recordSize };\n } else {\n const def = defs[localNum];\n if (!def || offset + def.recordSize > endOffset) return null;\n const le = def.littleEndian;\n const gNum = def.globalMsgNum;\n\n if (\n gNum === 20 &&\n def.fields.length === 10 &&\n def.recordSize === 25 &&\n def.fields[0].num === 253 &&\n def.fields[1].num === 0\n ) {\n const ts = dv.getUint32(offset, le);\n const rawLat = dv.getInt32(offset + 4, le);\n const rawLon = dv.getInt32(offset + 8, le);\n const rawAlt = dv.getUint16(offset + 12, le);\n const hr = dv.getUint8(offset + 14);\n const cad = dv.getUint8(offset + 15);\n const rawDist = dv.getUint32(offset + 16, le);\n const rawSpd = dv.getUint16(offset + 20, le);\n const power = dv.getUint16(offset + 22, le);\n const temp = dv.getInt8(offset + 24);\n records.push({\n timestamp: (ts + GARMIN_EPOCH_SEC) * 1000,\n position_lat: rawLat * SEMICIRCLE_TO_DEG,\n position_long: rawLon * SEMICIRCLE_TO_DEG,\n altitude: rawAlt / 5 - 500,\n heart_rate: hr,\n cadence: cad,\n distance: rawDist / 100,\n speed: (rawSpd / 1000) * 3.6,\n power,\n temperature: temp,\n });\n offset += 25;\n continue;\n }\n\n const msg: any = {};\n let fOff = offset;\n for (let i = 0; i < def.fields.length; i++) {\n const f = def.fields[i];\n let val: number = 0;\n const bType = f.type & 0x1f;\n if (f.size === 1) {\n val = bType === 1 ? dv.getInt8(fOff) : dv.getUint8(fOff);\n } else if (f.size === 2) {\n val = bType === 3 ? dv.getInt16(fOff, le) : dv.getUint16(fOff, le);\n } else if (f.size === 4) {\n val = bType === 5 ? dv.getInt32(fOff, le) : dv.getUint32(fOff, le);\n }\n msg[f.num] = val;\n fOff += f.size;\n }\n offset += def.recordSize;\n\n if (gNum === 0) {\n file_ids.push({\n type: msg[0] === 4 ? 'activity' : msg[0],\n manufacturer: msg[1] === 1 ? 'garmin' : msg[1],\n product: msg[2],\n time_created: msg[4] != null ? (msg[4] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n });\n } else if (gNum === 18) {\n const sportMap: Record = { 0: 'generic', 1: 'running', 2: 'cycling' };\n sessions.push({\n start_time: msg[2] != null ? (msg[2] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n sport: sportMap[msg[5]] ?? String(msg[5]),\n sub_sport: msg[6] === 0 ? 'generic' : String(msg[6]),\n });\n } else if (gNum === 20) {\n records.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n position_lat: msg[0] != null ? msg[0] * SEMICIRCLE_TO_DEG : undefined,\n position_long: msg[1] != null ? msg[1] * SEMICIRCLE_TO_DEG : undefined,\n altitude: msg[2] != null ? msg[2] / 5 - 500 : undefined,\n heart_rate: msg[3],\n cadence: msg[4],\n distance: msg[5] != null ? msg[5] / 100 : undefined,\n speed: msg[6] != null ? (msg[6] / 1000) * 3.6 : undefined,\n power: msg[7],\n temperature: msg[13],\n });\n } else if (gNum === 21) {\n const evName =\n msg[0] === 43\n ? 'rear_gear_change'\n : msg[0] === 42\n ? 'front_gear_change'\n : String(msg[0]);\n events.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n event: evName,\n event_type: msg[1] === 3 ? 'marker' : String(msg[1]),\n data: msg[3],\n front_gear_num: msg[9],\n rear_gear_num: msg[11],\n });\n } else if (gNum === 23) {\n device_infos.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n battery_level: msg[32],\n });\n } else {\n return null;\n }\n }\n }\n return { file_ids, sessions, sports: [], records, events, device_infos };\n }\n\n // \u2500\u2500 FIT parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseFIT(buf: ArrayBuffer): Promise {\n return new Promise((resolve, reject) => {\n const handleParsedFitData = (error: any, data: any) => {\n if (error) {\n reject(error);\n return;\n }\n try {\n const name = data.sessions?.[0]?.start_time\n ? `Fit Activity ${new Date(data.sessions[0].start_time).toISOString().split('T')[0]}`\n : 'Unnamed Fit';\n\n // Better device detection\n let device: string | null = null;\n const devices: DeviceInfo[] = [];\n let sport: string | null = null;\n let subSport: string | null = null;\n\n if (data.sports?.[0]) {\n sport = data.sports[0].sport;\n subSport = data.sports[0].sub_sport;\n } else if (data.sessions?.[0]) {\n sport = data.sessions[0].sport;\n subSport = data.sessions[0].sub_sport;\n }\n\n const getDeviceName = (d: any) =>\n d.product_name ||\n d.garmin_product ||\n d.product ||\n d.device_type ||\n d.manufacturer ||\n null;\n\n if (data.file_ids?.[0]) {\n const fid = data.file_ids[0];\n device = getDeviceName(fid);\n devices.push({\n name: fid.product_name || fid.garmin_product || fid.product,\n manufacturer: fid.manufacturer,\n serial: fid.serial_number ? String(fid.serial_number) : undefined,\n version: fid.software_version ? String(fid.software_version) : undefined,\n type: 'main',\n });\n }\n\n if (data.device_infos) {\n data.device_infos.forEach((d: any) => {\n const isMain = d.device_index === 'creator' || d.device_index === 0;\n\n if (isMain) {\n const name = getDeviceName(d);\n // Prefer a name with product_name or garmin_product over generic ones\n if (d.product_name || d.garmin_product || !device) device = name;\n\n // Update existing main device if needed\n if (devices.length > 0 && devices[0].type === 'main') {\n if (d.product_name || d.garmin_product || !devices[0].name)\n devices[0].name = d.product_name || d.garmin_product || d.product;\n\n if (!devices[0].manufacturer) devices[0].manufacturer = d.manufacturer;\n if (!devices[0].serial && d.serial_number)\n devices[0].serial = String(d.serial_number);\n if (!devices[0].version && d.software_version)\n devices[0].version = String(d.software_version);\n if (!devices[0].hardwareVersion && d.hardware_version)\n devices[0].hardwareVersion = String(d.hardware_version);\n }\n return;\n }\n\n devices.push({\n name: d.product_name || d.garmin_product || d.product || d.device_type || 'Sensor',\n manufacturer: d.manufacturer,\n serial: d.serial_number ? String(d.serial_number) : undefined,\n version: d.software_version ? String(d.software_version) : undefined,\n hardwareVersion: d.hardware_version ? String(d.hardware_version) : undefined,\n type: d.device_type || 'sensor',\n batteryStatus: d.battery_status,\n batteryVoltage: d.battery_voltage,\n batteryLevel: d.battery_level,\n sourceType: d.source_type != null ? String(d.source_type) : undefined,\n });\n });\n }\n\n if (data.sensor_settings) {\n data.sensor_settings.forEach((s: any) => {\n const name = s.name || s.product || s.sensor_type;\n if (!name) return;\n\n // Check if we already have this device (by ANT ID or name)\n const antId = s.ant_id ? String(s.ant_id) : undefined;\n const existing = devices.find(\n (d) =>\n (antId && d.serial === antId) ||\n (d.name === name && d.manufacturer === s.manufacturer),\n );\n\n if (existing) {\n if (!existing.name) existing.name = name;\n if (!existing.manufacturer) existing.manufacturer = s.manufacturer;\n if (!existing.type) existing.type = s.sensor_type;\n if (!existing.sourceType)\n existing.sourceType =\n s.connection_type != null ? String(s.connection_type) : undefined;\n } else {\n devices.push({\n name: name,\n manufacturer: s.manufacturer,\n serial: antId,\n type: s.sensor_type || 'sensor',\n sourceType: s.connection_type != null ? String(s.connection_type) : undefined,\n });\n }\n });\n }\n\n // Collect standalone device status reports (often contains head unit battery)\n // We'll store them in a sorted array for easier lookups\n const statusReports: { time: number; level: number | null; idx: number }[] = [];\n if (data.device_statuses) {\n data.device_statuses.forEach((s: any, idx: number) => {\n if (s.timestamp && s.battery_level != null) {\n statusReports.push({\n time:\n typeof s.timestamp === 'number' ? s.timestamp : new Date(s.timestamp).getTime(),\n level: s.battery_level,\n idx,\n });\n }\n });\n statusReports.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n // Collect gear events\n const gearEvents: {\n time: number;\n front: number | null;\n rear: number | null;\n frontTooth: number | null;\n rearTooth: number | null;\n idx: number;\n }[] = [];\n if (data.events) {\n data.events.forEach((e: any, idx: number) => {\n let front = e.front_gear_num ?? e.front_gear ?? null;\n let rear = e.rear_gear_num ?? e.rear_gear ?? null;\n let frontTooth = e.front_gear_num_tooth ?? null;\n let rearTooth = e.rear_gear_num_tooth ?? null;\n\n if (e.event === 'rear_gear_change' || e.event === 'front_gear_change') {\n const d = e.data;\n if (d != null) {\n const ft = (d >> 24) & 0xff;\n const fg = (d >> 16) & 0xff;\n const rt = (d >> 8) & 0xff;\n const rg = d & 0xff;\n\n if (fg !== 0) front = fg;\n if (ft !== 0) frontTooth = ft;\n if (rg !== 0) rear = rg;\n if (rt !== 0) rearTooth = rt;\n }\n }\n\n if (\n e.timestamp &&\n (front != null || rear != null || frontTooth != null || rearTooth != null)\n ) {\n gearEvents.push({\n time:\n typeof e.timestamp === 'number' ? e.timestamp : new Date(e.timestamp).getTime(),\n front,\n rear,\n frontTooth,\n rearTooth,\n idx,\n });\n }\n });\n gearEvents.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n const records = data.records || [];\n let lastBattery: number | null = null;\n let statusIdx = 0;\n let lastFrontGear: number | null = null;\n let lastRearGear: number | null = null;\n let lastFrontTooth: number | null = null;\n let lastRearTooth: number | null = null;\n let gearIdx = 0;\n\n const validPoints: TrackPoint[] = [];\n for (let ri = 0; ri < records.length; ri++) {\n const r = records[ri];\n const lat = r.position_lat;\n const lon = r.position_long;\n if (lat == null || lon == null) continue;\n\n const time =\n r.timestamp != null\n ? typeof r.timestamp === 'number'\n ? r.timestamp\n : r.timestamp instanceof Date\n ? r.timestamp.getTime()\n : new Date(r.timestamp).getTime()\n : null;\n const speed = r.speed != null ? r.speed / 3.6 : null; // km/h \u2192 m/s\n\n let battery = r.battery_level ?? null;\n\n // If not in record, check our status reports\n if (battery == null && time) {\n // Catch up statusIdx to current time\n while (statusIdx < statusReports.length && statusReports[statusIdx].time <= time) {\n lastBattery = statusReports[statusIdx].level;\n statusIdx++;\n }\n battery = lastBattery;\n } else if (battery != null) {\n lastBattery = battery;\n }\n\n // Update gear state from events\n if (time) {\n while (gearIdx < gearEvents.length && gearEvents[gearIdx].time <= time) {\n const e = gearEvents[gearIdx];\n if (e.front != null) lastFrontGear = e.front;\n if (e.rear != null) lastRearGear = e.rear;\n if (e.frontTooth != null) lastFrontTooth = e.frontTooth;\n if (e.rearTooth != null) lastRearTooth = e.rearTooth;\n gearIdx++;\n }\n }\n\n const gearFront: number | null = r.front_gear_num ?? r.front_gear ?? lastFrontGear;\n const gearRear: number | null = r.rear_gear_num ?? r.rear_gear ?? lastRearGear;\n const gearFrontTooth: number | null = r.front_gear_num_tooth ?? lastFrontTooth;\n const gearRearTooth: number | null = r.rear_gear_num_tooth ?? lastRearTooth;\n\n if (r.front_gear_num != null || r.front_gear != null) lastFrontGear = gearFront;\n if (r.rear_gear_num != null || r.rear_gear != null) lastRearGear = gearRear;\n if (r.front_gear_num_tooth != null) lastFrontTooth = gearFrontTooth;\n if (r.rear_gear_num_tooth != null) lastRearTooth = gearRearTooth;\n\n const gears =\n gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0\n ? gearFrontTooth / gearRearTooth\n : null;\n\n validPoints.push({\n lat,\n lon,\n ele: r.altitude ?? r.enhanced_altitude ?? null,\n time,\n hr: r.heart_rate ?? null,\n cad: r.cadence ?? null,\n power: r.power ?? null,\n speed,\n temp: r.temperature ?? null,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!validPoints.length) {\n reject(new Error('FIT file has no GPS points'));\n return;\n }\n\n const pts = enrichPoints(validPoints);\n const stats = computeStats(pts);\n resolve({ name, device, devices, format: 'fit', points: pts, stats, sport, subSport });\n } catch (ex) {\n reject(ex);\n }\n };\n\n const fastData = fastDecodeFitData(buf);\n if (fastData) {\n handleParsedFitData(null, fastData);\n return;\n }\n\n const fitParser = new FitParser({\n force: true,\n speedUnit: 'km/h',\n lengthUnit: 'm',\n temperatureUnit: 'celsius',\n elapsedRecordField: true,\n });\n\n fitParser.parse(buf, handleParsedFitData);\n });\n }\n\n // \u2500\u2500 KML parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseKML(buf: ArrayBuffer): any {\n const text = new TextDecoder().decode(buf);\n const doc = new DOMParser().parseFromString(text, 'application/xml');\n\n let name = 'Unnamed Track';\n const nameEl = doc.querySelector('Document > name, Placemark > name');\n if (nameEl) name = nameEl.textContent?.trim() || name;\n\n // Track: look for gx:Track or LineString\n const coordEls = doc.querySelectorAll('coordinates');\n if (!coordEls.length) throw new Error('No coordinates found in KML');\n\n const points: TrackPoint[] = [];\n coordEls.forEach((el) => {\n const lines = el.textContent?.trim().split(/\\s+/) || [];\n lines.forEach((line) => {\n const parts = line.split(',');\n if (parts.length < 2) return;\n const lon = parseFloat(parts[0]);\n const lat = parseFloat(parts[1]);\n const ele = parts.length > 2 ? parseFloat(parts[2]) : null;\n if (isNaN(lat) || isNaN(lon)) return;\n points.push({\n lat,\n lon,\n ele: ele != null && isNaN(ele) ? null : ele,\n time: null,\n hr: null,\n cad: null,\n power: null,\n speed: null,\n temp: null,\n gearFront: null,\n gearRear: null,\n gearFrontTooth: null,\n gearRearTooth: null,\n battery: null,\n gears: null,\n });\n });\n });\n\n if (!points.length) throw new Error('No valid coordinates in KML');\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, format: 'kml', points: pts, stats };\n }\n\n // \u2500\u2500 Public: dispatch by extension \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n async function parseFile(file: File): Promise {\n const ext = file.name.split('.').pop()?.toLowerCase();\n const buf: ArrayBuffer = (file as any)._buf ?? (await file.arrayBuffer());\n const predecodedText: string | undefined = (file as any)._text;\n let result: any;\n switch (ext) {\n case 'gpx':\n result = parseGPX(buf, predecodedText);\n break;\n case 'tcx':\n result = parseTCX(buf, predecodedText);\n break;\n case 'fit':\n result = await parseFIT(buf);\n break;\n case 'kml':\n result = parseKML(buf);\n break;\n default:\n throw new Error(`Unsupported format: .${ext}`);\n }\n\n if (result) {\n result.fileName = file.name;\n result.fileSize = file.size;\n }\n return result;\n }\n\n return {\n parseFile,\n computeStats,\n ensureCurvesAndZones,\n calculatePowerCurve,\n calculateHRCurve,\n calculatePowerZones,\n calculateHRZones,\n enrichPoints,\n setHRZones,\n getHRZones,\n setFTP,\n getFTP,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number {\n const R = 6371e3; // Earth radius in metres\n const phi1 = (lat1 * Math.PI) / 180;\n const phi2 = (lat2 * Math.PI) / 180;\n const deltaPhi = ((lat2 - lat1) * Math.PI) / 180;\n const deltaLambda = ((lon2 - lon1) * Math.PI) / 180;\n\n const a =\n Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) +\n Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2);\n const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n\n return R * c;\n}\n\nexport function compactId(timestamp: number): string {\n // Use a compact representation of the timestamp (seconds since epoch)\n // 1712650000 -> Base64\n const buf = new Uint32Array([Math.floor(timestamp / 1000)]);\n const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer)));\n return b64.replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n}\n\nexport function generateId(): string {\n return Math.random().toString(36).slice(2, 10);\n}\n\nexport function shortRandom(): string {\n return Math.random().toString(36).slice(2, 6);\n}\n\nexport function fmtDuration(s: number): string {\n if (s < 60) return `${Math.round(s)}s`;\n if (s < 3600) return `${Math.round(s / 60)}m`;\n return `${Math.round(s / 3600)}h`;\n}\n\nexport function fmtSecs(s: number): string {\n const h = Math.floor(s / 3600),\n m = Math.floor((s % 3600) / 60);\n return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`;\n}\n\nexport function fmtPace(seconds: number | null): string {\n if (seconds == null || !isFinite(seconds)) return '--';\n const mins = Math.floor(seconds / 60);\n const secs = Math.round(seconds % 60);\n return `${mins}:${secs.toString().padStart(2, '0')}`;\n}\n\nexport function fmtDate(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown date';\n return d.toISOString().split('T')[0];\n}\n\nexport function fmtDateTime(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown';\n const iso = d.toISOString();\n return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`;\n}\n\nexport function fmtFileSize(bytes: number): string {\n if (bytes === 0) return '0 B';\n const k = 1024;\n const sizes = ['B', 'KB', 'MB', 'GB'];\n const i = Math.floor(Math.log(bytes) / Math.log(k));\n return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\nexport function escHtml(str: string): string {\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"');\n}\n\nexport function getTagColor(name: string): string {\n let hash = 0;\n for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash);\n\n const h = Math.abs(hash % 360);\n return `hsl(${h}, 70%, 65%)`;\n}\n\n/**\n * Smoothes a numeric array using a simple Gaussian kernel.\n * sigma: standard deviation (radius of smoothing)\n */\nexport function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] {\n if (sigma <= 0) return data;\n\n const size = Math.ceil(sigma * 3) * 2 + 1;\n const kernel = new Float32Array(size);\n const half = Math.floor(size / 2);\n let sum = 0;\n\n for (let i = 0; i < size; i++) {\n const x = i - half;\n kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma));\n sum += kernel[i];\n }\n for (let i = 0; i < size; i++) kernel[i] /= sum;\n\n const result: (number | null)[] = new Array(data.length);\n for (let i = 0; i < data.length; i++) {\n if (data[i] === null) {\n result[i] = null;\n continue;\n }\n\n let val = 0;\n let weightSum = 0;\n for (let k = 0; k < size; k++) {\n const idx = i + k - half;\n if (idx >= 0 && idx < data.length && data[idx] !== null) {\n val += data[idx]! * kernel[k];\n weightSum += kernel[k];\n }\n }\n result[i] = weightSum > 0 ? val / weightSum : data[i];\n }\n return result;\n}\n\nexport function hexToRgba(hex: string, alpha: number = 1): string {\n const r = parseInt(hex.slice(1, 3), 16);\n const g = parseInt(hex.slice(3, 5), 16);\n const b = parseInt(hex.slice(5, 7), 16);\n return `rgba(${r}, ${g}, ${b}, ${alpha})`;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, TrackPoint } from './parsers';\n\nexport const MapView = (() => {\n let trackData: Record = {};\n let customClickHandler: ((e: any) => boolean) | null = null;\n\n function init(\n onSelectCb: (id: string) => void,\n onMoveCb: (lat: number, lng: number, zoom: number) => void,\n onPointClickCb: (id: string, idx: number) => void,\n onPointHoverCb: (id: string | null, idx: number | null) => void,\n onDblClickCb: () => void,\n ) {}\n\n function switchBasemap(layer: string) {}\n function addTrack(t: TrackData) {\n trackData[t.id] = t;\n }\n function addTracks(ts: TrackData[]) {\n ts.forEach((t) => {\n trackData[t.id] = t;\n });\n }\n function removeTrack(id: string) {\n delete trackData[id];\n }\n function clearTracks() {\n trackData = {};\n }\n function removeAllTracks() {\n trackData = {};\n }\n function setTrackVisible(id: string, visible: boolean) {}\n function setSelectedTrack(id: string | null, fit: boolean) {}\n function fitAll() {}\n function fitTrack(id: string) {}\n function showCursorAt(lat: number, lon: number) {}\n function hideCursor() {}\n function highlightSegment(\n id: string | null,\n pts: TrackPoint[],\n start: number,\n end: number,\n fit?: boolean,\n colors?: string[] | null,\n ) {}\n function clearHighlight() {}\n function setTrackHover(id: string, hover: boolean) {}\n function ensureVisible(pts: any) {}\n function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {}\n function closePopup() {}\n function invalidateSize() {}\n function getPosition(): [number, number, number] {\n return [0, 0, 0];\n }\n function setPosition(lat: number, lng: number, zoom: number) {}\n function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {}\n function clearMetricColor(id: string) {}\n\n function findTracksPassingThroughPoints(\n points: { lat: number; lng: number }[],\n radius: number,\n ): string[] {\n return Object.keys(trackData);\n }\n\n return {\n init,\n getMap: () => null as any,\n setCustomClickHandler: (handler: any) => {\n customClickHandler = handler;\n },\n switchBasemap,\n addTrack,\n addTracks,\n removeTrack,\n clearTracks,\n removeAllTracks,\n setTrackVisible,\n setSelectedTrack,\n fitAll,\n fitTrack,\n showCursorAt,\n hideCursor,\n highlightSegment,\n clearHighlight,\n setTrackHover,\n ensureVisible,\n centerOn,\n closePopup,\n invalidateSize,\n getPosition,\n setPosition,\n colorTrackByMetric,\n clearMetricColor,\n findTracksPassingThroughPoints,\n getTrackData: (id: string) => trackData[id],\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackPoint, TrackStats, TrackData } from './parsers';\nimport { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils';\nimport { Zones } from './zones';\nimport { METRICS, MetricDefinition } from './metrics';\nimport { UrlState } from './url-state';\nimport { SPORTS } from './sports';\n\n// Augment uPlot to include our custom property\n\ninterface WegPlot extends uPlot {\n _strasse?: {\n selFill: HTMLElement;\n anchorLine: HTMLElement;\n anchorLabel: HTMLElement;\n anchorHandle: HTMLElement;\n anchorMarker: HTMLElement;\n endLine: HTMLElement;\n endLabel: HTMLElement;\n endHandle: HTMLElement;\n endMarker: HTMLElement;\n curYVal: HTMLElement;\n updateHeaderStats: (min: number, max: number) => void;\n };\n}\n\ninterface PlotData {\n uplot: WegPlot;\n row: HTMLDivElement;\n xData: number[];\n yData: (number | null)[];\n def: MetricDefinition;\n metricKey: string;\n statsTotalEl: HTMLDivElement;\n statsSelEl: HTMLDivElement;\n histCol: HTMLDivElement;\n histCanvas: HTMLCanvasElement;\n histData: HistData;\n hoveredHistY: number | null;\n pinnedHistY: number | null;\n smoothed?: boolean;\n incZero?: boolean;\n w?: number;\n}\n\ninterface HistData {\n yData: (number | null)[];\n xData: number[];\n def: MetricDefinition;\n BINS: number;\n plot?: PlotData;\n bins?: number[];\n binAccum?: number[];\n min?: number;\n max?: number;\n padL?: number;\n selBins?: number[] | null;\n selBinAccum?: number[] | null;\n _lastYData?: any;\n _lastSelRange?: [number, number] | null;\n fullStats?: { min: number; max: number; avg: number } | null;\n fullStatsAll?: { min: number; max: number; avg: number } | null;\n}\n\nexport const ChartView = (() => {\n let plots: PlotData[] = [];\n let renderedTrack: TrackData | null = null;\n let renderedXAxis: string = 'time';\n let renderedSpeedMode: string = 'speed';\n let renderedMapColorMetric: string | null = null;\n let syncKey: {\n key: string;\n sub: (u: uPlot) => void;\n unsub: (u: uPlot) => void;\n pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void;\n } | null = null;\n let scaleSyncing: boolean = false;\n let cursorSyncing: boolean = false;\n let activeMetrics: Set = new Set(['elevation']);\n let availableMetrics: Set = new Set();\n let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']);\n let metricsIncludingZero: Set = new Set(['power']);\n let xAxis: string = 'time';\n let currentTrack: TrackData | null = null;\n let allTracks: TrackData[] = [];\n\n // Selection / anchor\n let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge\n let selEndVal: number | null = null; // x-value at zoom right edge\n let isDragging: boolean = false;\n let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag\n let pinnedPtIdx: number | null = null; // point index pinned by map click\n let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center\n let lastHistMouseEvent: MouseEvent | null = null;\n let hoveredHistData: HistData | null = null;\n let hoveredHistCanvas: HTMLCanvasElement | null = null;\n\n let currentXRange: [number, number] | null = null; // [min, max] currently rendered\n let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation\n let animId: number | null = null;\n\n // Callbacks\n let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null;\n let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null =\n null;\n let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null;\n let onPinChangeCb: ((idx: number | null) => void) | null = null;\n\n const HIST_W: number = 130;\n const ROW_BODY_PADDING: number = 28; // 14px left + 14px right\n const HIST_GAP: number = 20; // margin-left on .hist-col\n let statsVisible: boolean = true;\n let histTooltipEl: HTMLElement | null = null;\n let container: HTMLElement | null = null;\n let emptyEl: HTMLElement | null = null;\n let selStatsEl: HTMLElement | null = null;\n let resetSelBtn: HTMLElement | null = null;\n let mapColorMetric: string | null = null;\n let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null =\n null;\n\n // \u2500\u2500 Init \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function init(\n onCursorMove: (pt: TrackPoint | null) => void,\n onRangeChange: (min: number | null, max: number | null, axis: string) => void,\n onClick: (pt: TrackPoint, idx: number) => void,\n onPinChange: (idx: number | null) => void,\n ) {\n onCursorMoveCb = onCursorMove;\n onRangeChangeCb = onRangeChange;\n onClickCb = onClick;\n onPinChangeCb = onPinChange;\n container = document.getElementById('charts-container');\n container?.addEventListener('scroll', () => {\n if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData)\n updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData);\n });\n emptyEl = document.getElementById('chart-empty');\n selStatsEl = document.getElementById('chart-stats-sel');\n resetSelBtn = document.getElementById('btn-reset-selection');\n histTooltipEl = document.getElementById('hist-tooltip');\n syncKey = uPlot.sync('strasse-sync');\n\n document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection);\n resetSelBtn?.classList.add('hidden');\n\n // \u2500\u2500 WASD Keyboard Navigation \u2500\u2500\n const navKeys = new Set(['w', 'a', 's', 'd']);\n const activeNavKeys = new Set();\n\n document.addEventListener('keydown', (e) => {\n if (!plots.length || !currentTrack) return;\n if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return;\n\n const key = e.key.toLowerCase();\n if (!navKeys.has(key)) return;\n\n e.preventDefault();\n activeNavKeys.add(key);\n\n const u = plots[0].uplot;\n if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!];\n\n let [min, max] = targetXRange;\n const span = max - min;\n const moveStep = span * 0.1;\n const zoomFactor = 0.15;\n\n let newMin = min,\n newMax = max;\n\n if (key === 'a') {\n // Pan left\n newMin = min - moveStep;\n newMax = max - moveStep;\n } else if (key === 'd') {\n // Pan right\n newMin = min + moveStep;\n newMax = max + moveStep;\n } else if (key === 'w' || key === 's') {\n // Zoom\n const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2;\n const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2;\n newMin = center - (center - min) * factor;\n newMax = center + (max - center) * factor;\n }\n\n // Clamp to track bounds\n const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!];\n if (newMin < xFull[0]) {\n const d = xFull[0] - newMin;\n newMin += d;\n newMax += d;\n }\n if (newMax > xFull[1]) {\n const d = newMax - xFull[1];\n newMin -= d;\n newMax -= d;\n }\n newMin = Math.max(xFull[0], newMin);\n newMax = Math.min(xFull[1], newMax);\n\n if (newMax - newMin > 0.001) {\n targetXRange = [newMin, newMax];\n setVisibleRange(newMin, newMax, true); // true = animate\n }\n });\n\n document.addEventListener('keyup', (e) => {\n const key = e.key.toLowerCase();\n if (navKeys.has(key)) activeNavKeys.delete(key);\n });\n }\n\n function setVisibleRange(min: number, max: number, animate = false) {\n if (!plots.length) return;\n if (!animate) {\n plots.forEach(({ uplot: u }) => u.setScale('x', { min, max }));\n return;\n }\n\n const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number;\n const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number;\n\n if (animId) cancelAnimationFrame(animId);\n\n const lerp = (a: number, b: number, t: number) => a + (b - a) * t;\n const factor = 0.25; // Smoothing factor\n\n const step = () => {\n if (!targetXRange) return;\n const [tMin, tMax] = targetXRange;\n\n const cMin = lerp(currentXRange![0], tMin, factor);\n const cMax = lerp(currentXRange![1], tMax, factor);\n\n plots.forEach(({ uplot: u }) => {\n u.setScale('x', { min: cMin, max: cMax });\n });\n\n if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001)\n animId = requestAnimationFrame(step);\n else animId = null;\n };\n animId = requestAnimationFrame(step);\n }\n\n // \u2500\u2500 Public API \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n allTracks = others;\n\n // Detect which metrics are available in this file\n availableMetrics = new Set(\n Object.entries(METRICS)\n .filter(([, def]) => track.points.some((p) => p[def.field] != null))\n .map(([key]) => key),\n );\n\n // If no metrics are active (e.g. first load), default to core overview metrics\n if (activeMetrics.size === 0) {\n activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m)));\n }\n\n // Sync the pill buttons in the toolbar\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n const metric = pill.dataset.metric!;\n const isAvailable = availableMetrics.has(metric);\n pill.classList.toggle('active', isAvailable && activeMetrics.has(metric));\n pill.classList.toggle('disabled', !isAvailable);\n });\n\n currentTrack = track;\n if (deferRender) {\n updateStats(track);\n } else {\n render();\n }\n }\n\n function clear() {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n currentTrack = null;\n destroyPlots();\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
Select a track to view analysis
\n `;\n }\n const chartStats = document.getElementById('chart-stats');\n if (chartStats) chartStats.classList.add('hidden');\n clearSelectionStats();\n mapColorMetric = null;\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n }\n\n function resetState() {\n if (animId !== null) {\n cancelAnimationFrame(animId);\n animId = null;\n }\n activeMetrics = new Set(['elevation']);\n availableMetrics = new Set();\n smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']);\n metricsIncludingZero = new Set(['power']);\n xAxis = 'time';\n allTracks = [];\n currentXRange = null;\n targetXRange = null;\n lastMouseXVal = null;\n lastHistMouseEvent = null;\n hoveredHistData = null;\n hoveredHistCanvas = null;\n statsVisible = true;\n clear();\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n pill.classList.remove('disabled', 'overflow-hidden');\n });\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.add('hidden');\n const toolbar = document.getElementById('chart-toolbar');\n if (toolbar) toolbar.classList.remove('collapsed');\n document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time');\n });\n }\n\n function toggleMetric(key: string) {\n if (activeMetrics.has(key)) activeMetrics.delete(key);\n else activeMetrics.add(key);\n if (currentTrack) render(true);\n }\n\n function setActiveMetrics(keys: string[]) {\n activeMetrics = new Set(keys);\n if (currentTrack) render(true);\n // Sync the pill buttons\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n });\n }\n\n function setXAxis(axis: string) {\n if (xAxis === axis || !currentTrack) {\n xAxis = axis;\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n\n // Helper to convert a value from OLD axis to NEW axis\n const convert = (val: number | null) => {\n if (val === null) return null;\n // We need to find the point index closest to 'val' on the OLD axis\n let idx = 0;\n if (xAxis === 'distance') {\n const dTarget = val * 1000;\n idx = pts.findIndex((p) => (p.dist || 0) >= dTarget);\n } else {\n const tTarget = t0 + val * 1000;\n idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n }\n if (idx === -1) idx = pts.length - 1;\n\n // Now get the value at this index on the NEW axis\n if (axis === 'distance') return (pts[idx].dist || 0) / 1000;\n else return ((pts[idx].time || t0) - t0) / 1000;\n };\n\n // Convert selection\n if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal);\n if (selEndVal !== null) selEndVal = convert(selEndVal);\n\n // Convert zoom range (from first plot)\n let newRange: [number, number] | null = null;\n if (plots.length) {\n const u = plots[0].uplot;\n const r0 = convert(u.scales.x!.min!);\n const r1 = convert(u.scales.x!.max!);\n if (r0 !== null && r1 !== null) newRange = [r0, r1];\n }\n\n xAxis = axis;\n render(true);\n\n // Apply converted zoom\n if (newRange) {\n scaleSyncing = true;\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] }));\n });\n scaleSyncing = false;\n }\n }\n\n function toggleStats() {\n statsVisible = !statsVisible;\n plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible));\n resize();\n }\n\n function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) {\n onMapColorChangeCb = cb;\n }\n\n function toggleMapColor(key: string | null) {\n if (mapColorMetric === key || key === null) {\n mapColorMetric = null;\n _updateMapColorBtns();\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n } else {\n mapColorMetric = key;\n _updateMapColorBtns();\n _fireMapColorCb();\n }\n // Re-render to show/hide colored fills on the graphs\n if (currentTrack) render(true);\n }\n\n function _updateMapColorBtns() {\n document.querySelectorAll('.map-color-btn').forEach((el) => {\n const b = el as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === mapColorMetric);\n });\n }\n\n function _fireMapColorCb() {\n if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return;\n const plot = plots.find((p) => p.metricKey === mapColorMetric);\n if (!plot) return;\n const colors = _computePointColors(mapColorMetric, plot.yData);\n onMapColorChangeCb({ pts: currentTrack.points, colors });\n }\n\n function _computePointColors(key: string, yData: (number | null)[]): string[] {\n const vals = yData.filter((v): v is number => v != null && isFinite(v));\n if (!vals.length) return yData.map(() => '#888896');\n const min = Math.min(...vals),\n max = Math.max(...vals);\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n return yData.map((v) => {\n if (v == null || !isFinite(v)) return '#888896';\n if (key === 'gradient') return gradientColor(v);\n if (key === 'speed') {\n if (speedMode === 'pace') {\n const speed = (paceUnit === 'km' ? 1000 : 100) / v;\n return speedColor(speed);\n }\n return speedColor(v);\n }\n const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min)));\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25);\n if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25);\n if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25);\n return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25);\n });\n }\n\n function resetZoom() {\n cancelSelection();\n }\n\n function cancelSelection() {\n selAnchorVal = null;\n selEndVal = null;\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n\n // Reset individual histogram pins\n plots.forEach((p) => {\n p.pinnedHistY = null;\n });\n\n updateSelOverlay();\n redrawHistograms();\n\n // Perform the actual zoom reset\n scaleSyncing = true;\n plots.forEach(({ uplot: u, xData }) => {\n u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! }));\n u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!);\n });\n scaleSyncing = false;\n\n if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis);\n }\n\n function setSelectionStats(stats: TrackStats) {\n if (!selStatsEl) return;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt(\n 'sel-distance',\n stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '\u2014',\n );\n fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '\u2014');\n fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '\u2014');\n fmt(\n 'sel-avg-speed',\n stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014',\n );\n fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '\u2014');\n fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '\u2014');\n fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n selStatsEl.classList.remove('hidden');\n if (resetSelBtn) resetSelBtn.classList.remove('hidden');\n }\n\n function clearSelectionStats() {\n if (selStatsEl) selStatsEl.classList.add('hidden');\n if (resetSelBtn) resetSelBtn.classList.add('hidden');\n [\n 'sel-distance',\n 'sel-duration',\n 'sel-elevation',\n 'sel-avg-speed',\n 'sel-avg-power',\n 'sel-avg-hr',\n 'sel-avg-temp',\n ].forEach((id) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = '--';\n });\n }\n\n // Called on boot to restore a saved selection without re-firing onRangeChangeCb\n // xMin/xMax are ALWAYS provided in Time (seconds from start)\n function restoreSelection(tMin: number, tMax: number, deferRender = false) {\n if (!currentTrack) return;\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000;\n\n // If values look like absolute timestamps in ms, convert to seconds from start\n if (tMin > 1e12) tMin = (tMin - t0) / 1000;\n if (tMax > 1e12) tMax = (tMax - t0) / 1000;\n\n // Crop to max limits of the track\n tMin = Math.max(0, Math.min(tMin, totalDuration));\n tMax = Math.max(0, Math.min(tMax, totalDuration));\n\n const convert = (tOffset: number) => {\n if (xAxis === 'time') return tOffset;\n const tTarget = t0 + tOffset * 1000;\n let idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n if (idx === -1) idx = pts.length - 1;\n return (pts[idx].dist || 0) / 1000;\n };\n\n const xMin = convert(tMin);\n const xMax = convert(tMax);\n\n selAnchorVal = xMin;\n selEndVal = xMax;\n currentXRange = [xMin, xMax];\n if (deferRender) return;\n scaleSyncing = true; // suppress the setScale \u2192 onRangeChangeCb loop\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: xMin, max: xMax }));\n });\n scaleSyncing = false;\n updateAnchorLines();\n redrawHistograms();\n }\n\n function resize() {\n if (!plots.length || !container) return;\n const w = Math.round(\n Math.max(\n 100,\n container.getBoundingClientRect().width -\n ROW_BODY_PADDING -\n (statsVisible ? HIST_W + HIST_GAP : 0),\n ),\n );\n let anyResized = false;\n plots.forEach(({ uplot: u, histCanvas, histData }) => {\n if (w !== u.width) {\n u.setSize({ width: w, height: u.height });\n anyResized = true;\n if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height);\n }\n });\n if (anyResized) updateSelOverlay();\n }\n\n // \u2500\u2500 Render \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function render(keepState = false) {\n let savedRange: [number, number] | null = null;\n let savedScroll = 0;\n if (keepState && container) savedScroll = container.scrollTop;\n\n if (keepState && currentXRange) {\n savedRange = [currentXRange[0], currentXRange[1]];\n } else if (keepState && plots.length) {\n const u = plots[0].uplot;\n savedRange = [u.scales.x!.min!, u.scales.x!.max!];\n }\n\n if (!currentTrack) {\n destroyPlots(keepState);\n return;\n }\n const pts = currentTrack.points;\n if (!pts.length) {\n destroyPlots(keepState);\n return;\n }\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n const available = [...activeMetrics].filter((m) =>\n pts.some((p) => p[METRICS[m].field] != null),\n );\n if (!available.length) {\n destroyPlots(keepState);\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
No data for selected metrics
\n `;\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n\n const containerW = container ? container.getBoundingClientRect().width : 800;\n const w = Math.round(\n Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)),\n );\n\n const canReuse =\n keepState &&\n renderedTrack === currentTrack &&\n renderedXAxis === xAxis &&\n renderedSpeedMode === speedMode &&\n renderedMapColorMetric === mapColorMetric &&\n plots.length > 0;\n\n let xData: (number | null)[];\n if (canReuse) {\n xData = plots[0].xData;\n } else if (xAxis === 'distance') {\n xData = pts.map((p) => (p.dist || 0) / 1000);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n let lastValidX = 0;\n xData = pts.map((p) => {\n if (p.time != null) {\n lastValidX = (p.time - t0) / 1000;\n return lastValidX;\n }\n return lastValidX; // monotonic fallback\n });\n }\n\n const existingByKey = new Map();\n if (canReuse) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const availSet = new Set(available);\n for (const p of plots) {\n const isSmoothed = smoothedMetrics.has(p.metricKey);\n const isIncZero = metricsIncludingZero.has(p.metricKey);\n if (\n availSet.has(p.metricKey) &&\n p.smoothed === isSmoothed &&\n p.incZero === isIncZero &&\n p.w === w\n ) {\n existingByKey.set(p.metricKey, p);\n } else {\n syncKey!.unsub(p.uplot);\n p.uplot.destroy();\n p.row.remove();\n }\n }\n plots = [];\n } else {\n destroyPlots(keepState);\n }\n\n if (container) {\n const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null);\n let nextExisting: HTMLElement | null = null;\n for (let i = available.length - 1; i >= 0; i--) {\n nextSiblingRows[i] = nextExisting;\n const ex = existingByKey.get(available[i]);\n if (ex) nextExisting = ex.row;\n }\n\n available.forEach((key, idx) => {\n const reused = existingByKey.get(key);\n if (reused) {\n plots.push(reused);\n const uplot = reused.uplot;\n const s = (uplot as any)._strasse;\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n uplot.batch(() => {\n if (\n savedRange &&\n (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1])\n ) {\n uplot.setScale('x', { min: savedRange[0], max: savedRange[1] });\n } else {\n s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot);\n uplot.redraw(false);\n }\n });\n scaleSyncing = prevSync;\n\n let initHoverBinI: number | null = null;\n if (\n pinnedPtIdx != null &&\n reused.xData[pinnedPtIdx] != null &&\n reused.yData[pinnedPtIdx] != null\n ) {\n buildHistBins(reused.histData);\n if (reused.histData.min != null && reused.histData.max != null) {\n const span = reused.histData.max - reused.histData.min || 1;\n initHoverBinI = Math.min(\n reused.histData.BINS - 1,\n Math.floor(\n ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) *\n reused.histData.BINS,\n ),\n );\n reused.hoveredHistY = reused.yData[pinnedPtIdx];\n }\n }\n drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI);\n return;\n }\n\n let def = METRICS[key];\n\n let transform = def.transform;\n let fmt = def.fmt;\n let fmtAxis = def.fmtAxis;\n let unit = def.unit;\n let label = def.label;\n\n if (key === 'speed' && speedMode === 'pace') {\n label = 'Pace';\n unit = `min/${paceUnit}`;\n fmt = (v) => fmtPace(v);\n fmtAxis = (v) => fmtPace(v);\n transform = (v) => {\n if (v == null || v < 0.1) return null;\n return (paceUnit === 'km' ? 1000 : 100) / v;\n };\n\n def = { ...def, label, unit, fmt, fmtAxis, transform };\n }\n\n let yData = def.compute\n ? def.compute(pts, fillNulls)\n : fillNulls(\n pts.map((p) => {\n const v = p[def.field] as number;\n return v != null && transform ? transform(v) : v;\n }),\n );\n\n if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2);\n\n createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]);\n });\n }\n\n renderedTrack = currentTrack;\n renderedXAxis = xAxis;\n renderedSpeedMode = speedMode;\n renderedMapColorMetric = mapColorMetric;\n\n updateStats(currentTrack);\n // Restore anchor/end lines if a selection was active\n if (selAnchorVal != null && selEndVal != null) updateAnchorLines();\n // Re-apply map color if active\n _updateMapColorBtns();\n if (mapColorMetric) _fireMapColorCb();\n\n if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll;\n }\n\n // \u2500\u2500 Create one chart row \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function createChart(\n metricKey: string,\n def: MetricDefinition,\n xData: (number | null)[],\n yData: (number | null)[],\n w: number,\n pts: TrackPoint[],\n initialRange: [number, number] | null = null,\n insertBeforeEl: HTMLElement | null = null,\n ) {\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n\n // Gradient data: smooth over a 20 m distance window (\u00B110 m each side)\n const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null;\n const row = document.createElement('div');\n row.className = 'chart-row';\n row.dataset.metric = metricKey;\n row.style.setProperty('--chart-color', def.color);\n\n // Header\n const header = document.createElement('div');\n header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`;\n\n const labelEl = document.createElement('div');\n labelEl.className = 'chart-row-label-group';\n labelEl.innerHTML = `\n ${def.icon}\n ${def.label}\n `;\n\n // Smoothing toggle\n const smoothBtn = document.createElement('button');\n smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`;\n smoothBtn.title = 'Toggle data smoothing';\n smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`;\n smoothBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey);\n else smoothedMetrics.add(metricKey);\n\n render(true); // Re-render all charts to keep sync if needed (though only this one changes data)\n });\n\n const mapColorBtn = document.createElement('button');\n\n mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`;\n mapColorBtn.dataset.metric = metricKey;\n mapColorBtn.title = 'Color map track by this metric';\n mapColorBtn.innerHTML = 'colorize';\n mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey));\n\n // Zero-filter toggle (Cadence/Power/Speed)\n let zeroBtn: HTMLButtonElement | null = null;\n if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') {\n zeroBtn = document.createElement('button');\n const incZero = metricsIncludingZero.has(metricKey);\n zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`;\n zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values';\n zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`;\n zeroBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey);\n else metricsIncludingZero.add(metricKey);\n render(true);\n });\n }\n\n const statsTotalEl = document.createElement('div');\n statsTotalEl.className = 'chart-stats-total';\n\n const statsSelEl = document.createElement('div');\n statsSelEl.className = 'chart-stats-selection';\n\n const statsContainer = document.createElement('div');\n statsContainer.className = 'chart-row-stats-container';\n statsContainer.append(statsTotalEl, statsSelEl);\n\n const actionsEl = document.createElement('div');\n actionsEl.className = 'chart-row-actions';\n actionsEl.append(smoothBtn, mapColorBtn);\n\n const rightActionsEl = document.createElement('div');\n rightActionsEl.className = 'chart-row-right-actions';\n\n if (metricKey === 'speed') {\n const paceToggle = document.createElement('div');\n paceToggle.className = 'seg-ctrl';\n paceToggle.innerHTML = `\n \n \n `;\n paceToggle.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const mode = btn.dataset.mode;\n if (mode === 'speed' || mode === 'pace') {\n const isDefault = mode === defaultMode;\n UrlState.patch({ speed_mode: isDefault ? null : mode });\n render(true);\n }\n });\n rightActionsEl.append(paceToggle);\n }\n\n if (zeroBtn) rightActionsEl.append(zeroBtn);\n\n header.append(labelEl, actionsEl, statsContainer, rightActionsEl);\n\n const rowBody = document.createElement('div');\n rowBody.className = 'chart-row-body';\n\n const plotEl = document.createElement('div');\n plotEl.style.position = 'relative';\n rowBody.appendChild(plotEl);\n\n const fixedMinLabel = document.createElement('div');\n fixedMinLabel.className = 'fixed-x-label fixed-x-min';\n const fixedMaxLabel = document.createElement('div');\n fixedMaxLabel.className = 'fixed-x-label fixed-x-max';\n plotEl.append(fixedMinLabel, fixedMaxLabel);\n\n const histCol = document.createElement('div');\n histCol.className = `hist-col${statsVisible ? ' visible' : ''}`;\n const histCanvas = document.createElement('canvas');\n histCanvas.className = 'hist-canvas';\n histCol.appendChild(histCanvas);\n rowBody.appendChild(histCol);\n\n row.append(header, rowBody);\n\n const isDistAxis = xAxis === 'distance';\n\n function formatX(v: number, range: number): string {\n if (v == null) return '';\n if (isDistAxis) {\n const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0;\n return `${v.toFixed(dec)} km`;\n } else {\n const absV = Math.abs(v);\n const h = Math.floor(absV / 3600);\n const m = Math.floor((absV % 3600) / 60);\n const s = Math.round(absV % 60);\n const hh = h > 0 ? `${h}:` : '';\n const mm = h > 0 ? String(m).padStart(2, '0') : String(m);\n const ss = String(s).padStart(2, '0');\n return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`;\n }\n }\n\n const incZeroDefault =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Compute global Y range and full-track stats in a single pass\n let gMin = Infinity,\n gMax = -Infinity,\n allSum = 0,\n allCount = 0,\n filtMin = Infinity,\n filtMax = -Infinity,\n filtSum = 0,\n filtCount = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < gMin) gMin = v;\n if (v > gMax) gMax = v;\n allSum += v;\n allCount++;\n if (v !== 0 || incZeroDefault) {\n if (v < filtMin) filtMin = v;\n if (v > filtMax) filtMax = v;\n filtSum += v;\n filtCount++;\n }\n }\n if (allCount === 0) {\n gMin = 0;\n gMax = 100;\n }\n const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null;\n const fullStatsFiltered = filtCount\n ? { min: filtMin, max: filtMax, avg: filtSum / filtCount }\n : null;\n const gPad = Math.abs(gMax - gMin) * 0.1 || 1;\n const fixedYRange = [gMin - gPad, gMax + gPad];\n\n let statsTotalInitialized = false;\n\n // Per-range stats\n function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) {\n const incZero =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Update fixed X labels\n const range = visibleMax - visibleMin;\n fixedMinLabel.textContent = formatX(visibleMin, range);\n fixedMaxLabel.textContent = formatX(visibleMax, range);\n\n const getHtml = (xMin: number, xMax: number, isFull = false) => {\n const s =\n isFull && incZero === incZeroDefault\n ? fullStatsFiltered\n : rangeStats(xData, yData, xMin, xMax, incZero);\n if (!s) return '';\n\n let h = `\n align_flex_end${def.fmt(s.min, true)} ${def.unit}\n align_center${def.fmt(s.avg, true)} ${def.unit}\n align_flex_start${def.fmt(s.max, true)} ${def.unit}\n `;\n\n if (metricKey === 'elevation') {\n const es = elevationRangeStats(pts, xMin, xMax);\n h += `\n trending_up+${Math.round(es.gain)} m\n trending_down-${Math.round(es.loss)} m\n `;\n }\n return h;\n };\n\n if (!statsTotalInitialized) {\n statsTotalInitialized = true;\n statsTotalEl.innerHTML = `all_inclusive${getHtml(\n xData[0]!,\n xData[xData.length - 1]!,\n true,\n )}`;\n statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => {\n e.stopPropagation();\n cancelSelection();\n });\n }\n\n if (selAnchorVal !== null && selEndVal !== null) {\n statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false);\n statsSelEl.style.display = 'flex';\n statsSelEl.style.setProperty('--sel-color', def.color);\n } else {\n statsSelEl.style.display = 'none';\n }\n }\n let initializingScale = false;\n const uOpts: uPlot.Options = {\n width: w,\n height: 130,\n padding: [4, 0, 0, 0],\n cursor: {\n sync: {\n key: syncKey!.key,\n },\n drag: { x: true, y: false, uni: 16 },\n focus: { prox: 16 },\n points: {\n size: 7,\n stroke: '#0e0e10',\n width: 2,\n fill: (metricKey === 'elevation'\n ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null)\n : def.color) as any,\n },\n x: false,\n y: false,\n },\n select: {\n show: true,\n left: 0,\n top: 0,\n width: 0,\n height: 0,\n },\n legend: { show: false },\n scales: {\n x: {\n time: false,\n range: (_u: uPlot, mn: number, mx: number) => [mn, mx],\n min: initialRange ? initialRange[0] : undefined,\n max: initialRange ? initialRange[1] : undefined,\n },\n y: {\n range: () => fixedYRange as [number, number],\n dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1,\n },\n },\n axes: [\n {\n side: 2, // bottom\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: {\n show: true,\n stroke: '#2e2e34',\n },\n size: 30,\n space: 80,\n font: '10px system-ui, sans-serif',\n splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => {\n const range = scaleMax - scaleMin;\n const width = u.bbox.width > 0 ? u.bbox.width : u.width;\n const targetLabels = width / 80;\n const idealIncr = range / targetLabels;\n\n let incrs;\n if (!isDistAxis) {\n // Time in seconds\n incrs = [\n 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200,\n 86400, 604800, 2592000, 31536000,\n ];\n } else {\n incrs = [\n 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,\n 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000,\n ];\n }\n\n let incr = incrs[incrs.length - 1];\n for (let i = 0; i < incrs.length; i++) {\n if (incrs[i] >= idealIncr) {\n incr = incrs[i];\n break;\n }\n }\n\n const splits = [];\n let val = Math.ceil(scaleMin / incr) * incr;\n const precision = incr < 1 ? 2 : 0;\n\n while (val <= scaleMax) {\n const pos = u.valToPos(val, 'x', true);\n if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80)\n splits.push(Number(val.toFixed(precision)));\n\n val += incr;\n }\n return splits;\n },\n values: ((_u: uPlot, vals: number[]) => {\n const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0);\n\n return vals.map((v) => {\n if (v == null) return '';\n const pos = _u.valToPos(v, 'x', true);\n // Strict 80px margin to prevent overlapping with fixed labels or Y axis\n if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null;\n return formatX(v, range);\n });\n }) as any,\n },\n {\n side: 3, // left\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: { stroke: '#2e2e34' },\n size: 55,\n font: '10px system-ui, sans-serif',\n values: ((_u: uPlot, vals: number[]) =>\n vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any,\n },\n ],\n series: [\n {},\n // Main selected track series\n {\n label: def.label,\n stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering\n width: 0,\n points: { show: false },\n paths: () => null,\n },\n ],\n hooks: {\n draw: [\n (u: uPlot) => {\n const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area!\n fixedMinLabel.style.top = `${top}px`;\n fixedMinLabel.style.left = `${u.bbox.left}px`;\n\n fixedMaxLabel.style.top = `${top}px`;\n fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`;\n fixedMaxLabel.style.transform = 'translateX(-100%)';\n },\n // 1. (bottom) Color / metric color of the selected track\n (u: uPlot) => {\n if (metricKey === 'gears') {\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n } else if (metricKey === 'elevation') {\n drawElevationGradient(u, xData as number[], yData as number[], gradData);\n } else if (metricKey === 'gradient') {\n drawGradientChart(u, xData as number[], yData as number[]);\n } else if (mapColorMetric === metricKey) {\n drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey);\n } else {\n // Normal colored line\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n }\n },\n\n // 2. Pinned point (middle)\n (u: uPlot) => {\n const plot = plots.find((p) => p.uplot === u);\n if (!plot) return;\n\n const s = (u as any)._strasse;\n // Priority 1: Global pinned point (all charts)\n if (pinnedPtIdx != null) {\n drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey);\n } else {\n if (s && s.pinYVal) s.pinYVal.style.display = 'none';\n\n // Priority 2: Individual histogram pinned Y-pos (this chart only)\n if (plot.pinnedHistY != null)\n drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def);\n }\n },\n\n // 3. Pinned & Hover elements (labels, vertical lines)\n (u: uPlot) => {\n const hIdx = u.cursor.idx;\n const hasPinned = pinnedPtIdx != null;\n\n let hasHover = hIdx != null && u.cursor.left! >= 0;\n if (hasHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[hIdx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) hasHover = false;\n }\n\n // B. Draw Hover vertical line\n if (hasHover && hIdx !== pinnedPtIdx)\n drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0);\n\n // C. Bold selection x-axis line & span pill\n if (selAnchorVal != null && selEndVal != null) {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ax = u.valToPos(selAnchorVal, 'x', true);\n const ex = u.valToPos(selEndVal, 'x', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.lineWidth = 3 * dpr;\n ctx.strokeStyle = def.color;\n ctx.moveTo(ax, bb.top + bb.height);\n ctx.lineTo(ex, bb.top + bb.height);\n ctx.stroke();\n\n const span = Math.abs(selEndVal - selAnchorVal);\n const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span);\n const fontSize = 9 * dpr;\n const fontStr = `bold ${fontSize}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n\n const visibleL = Math.max(bb.left, ax);\n const visibleR = Math.min(bb.left + bb.width, ex);\n const visibleW = visibleR - visibleL;\n\n if (visibleW > tw + 14 * dpr) {\n const padH = 5 * dpr;\n const padV = 2 * dpr;\n const bw = tw + padH * 2;\n const bh = fontSize + padV * 2;\n const bx = (visibleL + visibleR) / 2 - bw / 2;\n const by = bb.top + bb.height - bh / 2;\n\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = def.color;\n ctx.fill();\n\n ctx.fillStyle = '#000';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2);\n }\n ctx.restore();\n }\n\n // D. Draw label pills (on top)\n // Pinned labels first (semi-transparent)\n if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7);\n\n // Hover labels last (fully opaque, topmost)\n if (hasHover && hIdx !== pinnedPtIdx)\n drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0);\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (scaleSyncing) return;\n const idx = u.cursor.idx;\n\n // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live\n // Note: uPlot handles cross-chart sync when syncKey is used.\n u.redraw(false);\n\n // Track current x-value for keyboard navigation\n if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x');\n else lastMouseXVal = null;\n\n // \u2500\u2500 Floating y-value next to cursor dot \u2500\u2500\n const s = (u as any)._strasse;\n let showHover = idx != null && yData[idx] != null;\n\n // Distance threshold: if no pinned point, check proximity to data line\n if (showHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[idx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) showHover = false;\n }\n\n if (s) {\n if (showHover)\n updateTooltip(\n u,\n s.curYVal,\n idx!,\n xData as number[],\n yData as number[],\n pts,\n def,\n metricKey,\n );\n else s.curYVal.style.display = 'none';\n }\n\n // Map marker\n if (!cursorSyncing) {\n if (idx != null && pts[idx]) {\n if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) {\n onCursorMoveCb(pts[idx]);\n } else if (onCursorMoveCb && !showHover) {\n // If we're too far and nothing is pinned, hide map cursor\n onCursorMoveCb(null);\n }\n } else if (idx === null && onCursorMoveCb) {\n onCursorMoveCb(null);\n }\n }\n\n // Highlight matching histogram bucket\n if (idx != null && yData[idx] != null) {\n const { min, max } = histData;\n if (min != null && max != null) {\n const span = max - min || 1;\n const binI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[idx]! - min) / span) * histData.BINS),\n );\n if (plot.hoveredHistY !== yData[idx]) {\n plot.hoveredHistY = yData[idx];\n drawHistogram(histCanvas, histData, 130, binI);\n }\n }\n } else if (plot.hoveredHistY !== null) {\n plot.hoveredHistY = null;\n drawHistogram(histCanvas, histData, 130);\n }\n },\n ],\n\n setScale: [\n (u: uPlot, key: string) => {\n if (key !== 'x' || initializingScale) return;\n const { min, max } = u.scales.x!;\n\n // Sync currentXRange so keyboard navigation baseline is always accurate\n currentXRange = [min!, max!];\n\n // Update header stats for VISIBLE range\n updateHeaderStats(min as number, max as number, u);\n\n if (scaleSyncing) return;\n\n // Clear keyboard target when user interacts via mouse\n if (!updatingRange) targetXRange = null;\n\n // Sync sibling plots\n scaleSyncing = true;\n plots.forEach(({ uplot: other }) => {\n if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! }));\n });\n scaleSyncing = false;\n\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb && selAnchorVal !== null)\n onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n },\n ],\n\n setSelect: [\n (u: uPlot) => {\n if (updatingRange) return;\n targetXRange = null;\n const { left, width } = u.select;\n if (width > 0) {\n const min = u.posToVal(left, 'x');\n const max = u.posToVal(left + width, 'x');\n selAnchorVal = min;\n selEndVal = max;\n\n // Sync stats to new selection\n updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u);\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n\n // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction\n u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false);\n }\n },\n ],\n },\n };\n\n // \u2500\u2500 Overlay (pointer-events off except handles) \u2500\u2500\n const overlay = document.createElement('div');\n overlay.style.cssText =\n 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5';\n\n // Selection fill\n const selFill = document.createElement('div');\n selFill.className = 'sel-fill';\n selFill.style.display = 'none';\n\n // Anchor line + label + drag handle\n const anchorLine = document.createElement('div');\n anchorLine.className = 'sel-line sel-line-anchor';\n anchorLine.style.display = 'none';\n\n const anchorLabel = document.createElement('div');\n anchorLabel.className = 'sel-line-label sel-line-label-anchor';\n anchorLabel.style.display = 'none';\n\n const anchorHandle = document.createElement('div');\n anchorHandle.className = 'sel-handle sel-handle-anchor';\n anchorHandle.style.display = 'none';\n\n const anchorMarker = document.createElement('div');\n anchorMarker.className = 'sel-graph-marker';\n anchorMarker.innerHTML =\n 'play_circle';\n anchorMarker.style.display = 'none';\n\n // End line + label + drag handle\n const endLine = document.createElement('div');\n endLine.className = 'sel-line sel-line-end';\n endLine.style.display = 'none';\n\n const endLabel = document.createElement('div');\n endLabel.className = 'sel-line-label sel-line-label-end';\n endLabel.style.display = 'none';\n\n const endHandle = document.createElement('div');\n endHandle.className = 'sel-handle sel-handle-end';\n endHandle.style.display = 'none';\n\n const endMarker = document.createElement('div');\n endMarker.className = 'sel-graph-marker';\n endMarker.innerHTML =\n 'stop_circle';\n endMarker.style.display = 'none';\n\n // Floating cursor y-value\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${def.color};display:none`;\n\n // Floating pinned y-value\n const pinYVal = document.createElement('div');\n pinYVal.className = 'cur-y-val pin';\n pinYVal.style.cssText = `color:${def.color};display:none`;\n\n overlay.append(\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n );\n\n const histData: HistData = {\n yData,\n xData: xData as number[],\n def,\n BINS: 24,\n min: allCount ? gMin : undefined,\n max: allCount ? gMax : undefined,\n fullStats: fullStatsFiltered,\n fullStatsAll,\n };\n const plot: PlotData = {\n uplot: null as any,\n row,\n xData: xData as number[],\n yData,\n def,\n metricKey,\n statsTotalEl,\n statsSelEl,\n histCol,\n histCanvas,\n histData,\n hoveredHistY: null,\n pinnedHistY: null,\n smoothed: smoothedMetrics.has(metricKey),\n incZero: metricsIncludingZero.has(metricKey),\n w,\n };\n histData.plot = plot; // Back-reference for tooltip to trigger redraws\n\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => {\n plot.uplot = self as WegPlot;\n plots.push(plot);\n plotEl.appendChild(self.root);\n self.over.appendChild(overlay);\n (self as any)._strasse = {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n updateHeaderStats,\n };\n self.batch(() => {\n init();\n });\n }) as WegPlot;\n scaleSyncing = prevSync;\n\n // \u2500\u2500 Handle drag \u2500\u2500\n attachHandleDrag(anchorHandle, uplot, xData, true);\n attachHandleDrag(endHandle, uplot, xData, false);\n\n // \u2500\u2500 Mouse listeners \u2500\u2500\n let mousedownX: number | null = null;\n uplot.over.addEventListener('mousedown', (e) => {\n if (e.button !== 0) return;\n isDragging = false;\n const rect = uplot.over.getBoundingClientRect();\n const xPx = e.clientX - rect.left;\n mousedownX = xPx;\n });\n uplot.over.addEventListener('mousemove', (e) => {\n if (mousedownX !== null) {\n const rect = uplot.over.getBoundingClientRect();\n if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true;\n }\n });\n uplot.over.addEventListener('mouseup', () => {\n mousedownX = null;\n });\n\n // Click to pin point (sticky selection)\n uplot.over.addEventListener('click', () => {\n if (isDragging) return;\n const idx = uplot.cursor.idx;\n if (idx != null && pts[idx]) {\n pinnedPtIdx = idx;\n plots.forEach(({ uplot: u }) => u.redraw(false));\n if (onClickCb) onClickCb(pts[idx], idx);\n if (onPinChangeCb) onPinChangeCb(idx);\n }\n });\n\n row.addEventListener('dblclick', cancelSelection);\n\n let initHoverBinI: number | null = null;\n if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) {\n buildHistBins(histData);\n if (histData.min != null && histData.max != null) {\n const span = histData.max - histData.min || 1;\n initHoverBinI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS),\n );\n plot.hoveredHistY = yData[pinnedPtIdx];\n }\n }\n\n drawHistogram(histCanvas, histData, 130, initHoverBinI);\n attachHistTooltip(histCanvas, histData);\n if (container) {\n if (insertBeforeEl) container.insertBefore(row, insertBeforeEl);\n else container.appendChild(row);\n }\n }\n\n // \u2500\u2500 Selection overlay (fill + lines + handles) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateSelOverlay() {\n updateAnchorLines();\n // Redraw canvas markers (bold selection line + span pill)\n plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false)));\n }\n\n function updateAnchorLines() {\n plots.forEach(({ uplot: u, def }) => {\n const s = (u as any)._strasse;\n if (!s) return;\n const {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n } = s;\n if (selAnchorVal == null || selEndVal == null) {\n [\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n ].forEach((el: HTMLElement) => {\n el.style.display = 'none';\n });\n return;\n }\n const aX = u.valToPos(selAnchorVal, 'x');\n const eX = u.valToPos(selEndVal, 'x');\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const overW = bb.width / dpr;\n const overH = bb.height / dpr;\n const plotBottom = (bb.top + bb.height) / dpr;\n\n const isAnchorVisible = aX >= 0 && aX <= overW;\n const isEndVisible = eX >= 0 && eX <= overW;\n\n // Fill: clamp left/right to visible area\n const fillL = Math.max(0, aX);\n const fillR = Math.min(overW, eX);\n if (fillR > fillL) {\n selFill.style.left = `${fillL}px`;\n selFill.style.width = `${fillR - fillL}px`;\n selFill.style.top = '0';\n selFill.style.height = `${overH}px`;\n selFill.style.backgroundColor = hexToRgba(def.color, 0.07);\n selFill.style.display = '';\n } else {\n selFill.style.display = 'none';\n }\n\n // Anchor line\n if (isAnchorVisible) {\n anchorLine.style.left = `${aX}px`;\n anchorLine.style.height = `${overH}px`;\n anchorLine.style.borderLeftColor = def.color;\n anchorLine.style.display = '';\n // Anchor label\n const aText = fmtXVal(selAnchorVal);\n anchorLabel.textContent = aText;\n const aLabelW = aText.length * 7 + 10;\n anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`;\n anchorLabel.style.display = '';\n // Anchor handle\n anchorHandle.style.left = `${aX}px`;\n anchorHandle.style.backgroundColor = def.color;\n anchorHandle.style.display = '';\n // Anchor marker: centered on the bold line\n anchorMarker.style.left = `${aX}px`;\n anchorMarker.style.top = `${plotBottom}px`;\n const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (aIcon) aIcon.style.color = def.color;\n anchorMarker.style.display = '';\n } else {\n [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n\n // End line\n if (isEndVisible) {\n endLine.style.left = `${eX}px`;\n endLine.style.height = `${overH}px`;\n endLine.style.borderLeftColor = def.color;\n endLine.style.display = '';\n // End label\n const eText = fmtXVal(selEndVal);\n endLabel.textContent = eText;\n const eLabelW = eText.length * 7 + 10;\n endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`;\n endLabel.style.display = '';\n // End handle\n endHandle.style.left = `${eX}px`;\n endHandle.style.backgroundColor = def.color;\n endHandle.style.display = '';\n // End marker: centered on the bold line\n endMarker.style.left = `${eX}px`;\n endMarker.style.top = `${plotBottom}px`;\n const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (eIcon) eIcon.style.color = def.color;\n endMarker.style.display = '';\n } else {\n [endLine, endLabel, endHandle, endMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n });\n }\n\n function fmtXVal(v: number) {\n return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v);\n }\n\n // \u2500\u2500 Handle drag logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function attachHandleDrag(\n handleEl: HTMLElement,\n uplot: uPlot,\n xData: (number | null)[],\n isAnchor: boolean,\n ) {\n // pointer-events enabled on the handle itself\n handleEl.style.pointerEvents = 'auto';\n\n handleEl.addEventListener('mousedown', (e) => {\n e.stopPropagation();\n e.preventDefault();\n const startX = e.clientX;\n const startVal = isAnchor ? selAnchorVal : selEndVal;\n const overW = uplot.over.offsetWidth;\n // px-per-data-unit at current zoom\n const xMin = uplot.scales.x!.min!,\n xMax = uplot.scales.x!.max!;\n const pxPerUnit = overW / (xMax - xMin);\n const xFull = [xData[0]!, xData[xData.length - 1]!];\n\n document.body.style.cursor = 'ew-resize';\n isDragging = true;\n\n function onMove(me: MouseEvent) {\n const dx = me.clientX - startX;\n let newVal = (startVal || 0) + dx / pxPerUnit;\n newVal = Math.max(xFull[0], Math.min(xFull[1], newVal));\n\n if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001);\n else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001);\n\n // When dragging handles, we typically want to stay zoomed to the selection?\n // Actually, let's keep the zoom as is, and just update the selection overlay and stats.\n plots.forEach((p) =>\n (p.uplot as any)._strasse?.updateHeaderStats(\n p.uplot.scales.x!.min!,\n p.uplot.scales.x!.max!,\n ),\n );\n updateSelOverlay();\n redrawHistograms();\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n }\n\n function onUp() {\n document.body.style.cursor = '';\n isDragging = false;\n document.removeEventListener('mousemove', onMove);\n document.removeEventListener('mouseup', onUp);\n }\n\n document.addEventListener('mousemove', onMove);\n document.addEventListener('mouseup', onUp);\n });\n }\n\n // \u2500\u2500 Histogram logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function buildHistBins(histData: HistData) {\n const { yData, xData, BINS } = histData;\n\n // Cache to avoid re-binning every frame during hover\n if (histData._lastYData === yData && histData.bins) return;\n histData._lastYData = yData;\n\n let min = histData.min;\n let max = histData.max;\n if (min == null || max == null) {\n let lo = Infinity,\n hi = -Infinity,\n cnt = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < lo) lo = v;\n if (v > hi) hi = v;\n cnt++;\n }\n if (!cnt) return;\n min = lo;\n max = hi;\n histData.min = min;\n histData.max = max;\n }\n\n const bins = new Array(BINS).fill(0);\n const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km)\n\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n bins[bi]++;\n\n // weight by x-delta\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n binAccum[bi] += (next - prev) / 2;\n }\n histData.bins = bins;\n histData.binAccum = binAccum;\n }\n\n function redrawHistograms() {\n plots.forEach(({ histCanvas, histData, uplot: u }) => {\n drawHistogram(histCanvas, histData, u.height);\n });\n }\n\n function drawHistogram(\n canvas: HTMLCanvasElement,\n histData: HistData,\n chartH: number,\n hoverBinI: number | null = null,\n ) {\n const { def, BINS } = histData;\n buildHistBins(histData);\n const { bins, min, max } = histData;\n if (!bins || min == null || max == null) return;\n\n const hasSel = selAnchorVal != null && selEndVal != null;\n\n // Compute selection bins if a range is active and changed\n if (\n hasSel &&\n (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal)\n ) {\n histData._lastSelRange = [selAnchorVal!, selEndVal!];\n const selBins = new Array(BINS).fill(0);\n const selBinAccum = new Array(BINS).fill(0);\n const { yData, xData } = histData;\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const x = xData[i];\n if (x == null || x < selAnchorVal! || x > selEndVal!) continue;\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n selBins[bi]++;\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n selBinAccum[bi] += (next - prev) / 2;\n }\n histData.selBins = selBins;\n histData.selBinAccum = selBinAccum;\n } else if (!hasSel) {\n histData.selBins = null;\n histData.selBinAccum = null;\n histData._lastSelRange = null;\n }\n const selBins = histData.selBins;\n\n const dpr = window.devicePixelRatio || 1;\n const W = HIST_W;\n const H = chartH;\n\n // Performance: only set dimensions if they changed (resets canvas)\n if (canvas.width !== W * dpr || canvas.height !== H * dpr) {\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n canvas.style.width = `${W}px`;\n canvas.style.height = `${H}px`;\n }\n\n const ctx = canvas.getContext('2d')!;\n ctx.resetTransform();\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const peak = Math.max(...bins);\n\n // Measure label width so bars start right after them\n const fmt = (v: number) => def.fmtAxis(v);\n const fontStr = '9px system-ui, sans-serif';\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const labelW = Math.ceil(\n Math.max(\n ctx.measureText(`${fmt(max)} ${def.unit}`).width,\n ctx.measureText(`${fmt(min)} ${def.unit}`).width,\n ),\n );\n\n // Vertical alignment with main graph:\n // uPlot padding: [4, 0, 0, 0]\n // Axis size: 30\n const pad = { t: 4, r: 0, b: 30, l: labelW + 6 };\n histData.padL = pad.l;\n const plotW = W - pad.l - pad.r;\n const plotH = H - pad.t - pad.b;\n\n // bin 0 = lowest values \u2192 drawn at bottom; bin BINS-1 = highest \u2192 drawn at top\n const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS);\n const binH = plotH / BINS - 1;\n\n // Full distribution (dimmed when selection active)\n const baseAlpha = hasSel ? 0.15 : 0.6;\n ctx.fillStyle = hexToRgba(def.color, baseAlpha);\n for (let i = 0; i < BINS; i++) {\n if (!bins[i]) continue;\n const bw = (bins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n\n // Selection overlay (bright)\n if (selBins) {\n ctx.fillStyle = hexToRgba(def.color, 0.85);\n for (let i = 0; i < BINS; i++) {\n if (!selBins[i]) continue;\n const bw = (selBins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n ctx.fillStyle = def.color;\n ctx.fillRect(pad.l, pad.t, 2, plotH);\n }\n\n // CDF overlay \u2014 smooth curve from bottom (0%) to top (100%)\n const total = bins.reduce((s, v) => s + v, 0);\n if (total > 0) {\n // Build CDF points: one per bin boundary, bottom\u2192top\n const pts2 = [{ x: pad.l, y: pad.t + plotH }];\n let cumSum = 0;\n for (let i = 0; i < BINS; i++) {\n cumSum += bins[i];\n pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) });\n }\n\n ctx.beginPath();\n // CDF line is now solid\n ctx.setLineDash([]);\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 0.75 * dpr;\n ctx.lineJoin = 'round';\n ctx.moveTo(pts2[0].x, pts2[0].y);\n for (let i = 1; i < pts2.length - 1; i++) {\n const mx = (pts2[i].x + pts2[i + 1].x) / 2;\n const my = (pts2[i].y + pts2[i + 1].y) / 2;\n ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my);\n }\n ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y);\n ctx.stroke();\n\n // \u2500\u2500 Hover highlight on CDF \u2500\u2500\n if (hoverBinI != null && pts2[hoverBinI + 1]) {\n const cp = pts2[hoverBinI + 1];\n // Vertical line down\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(def.color, 0.6);\n ctx.moveTo(cp.x, cp.y);\n ctx.lineTo(cp.x, pad.t + plotH);\n ctx.stroke();\n ctx.setLineDash([]);\n\n // Dot: tiny precision point\n ctx.beginPath();\n ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n }\n\n // Axis labels: max at top, min at bottom\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n const font9 = '9px system-ui, sans-serif';\n if (ctx.font !== font9) ctx.font = font9;\n ctx.textAlign = 'right';\n\n // Draw Max\n ctx.textBaseline = 'top';\n ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t);\n\n // Draw Min\n ctx.textBaseline = 'bottom';\n ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b);\n\n // Draw Avg (only if it doesn't overlap min/max)\n const stats =\n !hasSel && histData.fullStatsAll !== undefined\n ? histData.fullStatsAll\n : rangeStats(\n histData.xData,\n histData.yData,\n selAnchorVal || -Infinity,\n selEndVal || Infinity,\n );\n if (stats) {\n const avgY =\n pad.t +\n (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) *\n (plotH / BINS);\n const minLabelY = H - pad.b;\n const maxLabelY = pad.t;\n const labelHeight = 10; // Approx 10px height for 9px font\n\n if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) {\n ctx.textBaseline = 'middle';\n if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa';\n ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY);\n // Draw small indicator tick\n ctx.beginPath();\n ctx.moveTo(pad.l - 3, avgY);\n ctx.lineTo(pad.l, avgY);\n if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa';\n ctx.lineWidth = 1;\n ctx.stroke();\n }\n }\n\n // \u2500\u2500 Higher/Lower percentages below histogram \u2500\u2500\n if (hoverBinI != null && total > 0) {\n let countLower = 0;\n for (let i = 0; i < hoverBinI; i++) countLower += bins[i];\n let countHigher = 0;\n for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i];\n\n const pLower = Math.round((countLower / total) * 100);\n const pHigher = Math.round((countHigher / total) * 100);\n\n ctx.save();\n ctx.textAlign = 'left';\n ctx.textBaseline = 'top';\n const font8 = '8px system-ui, sans-serif';\n if (ctx.font !== font8) ctx.font = font8;\n\n const textY = H - pad.b + 6;\n\n // Draw \"Lower\" stat\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('LOWER', pad.l, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n const fontB10 = 'bold 10px system-ui, sans-serif';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pLower}%`, pad.l, textY + 10);\n\n // Draw \"Higher\" stat\n const midX = pad.l + plotW / 2;\n if (ctx.font !== font8) ctx.font = font8;\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('HIGHER', midX, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pHigher}%`, midX, textY + 10);\n\n ctx.restore();\n }\n }\n\n function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) {\n const { plot } = histData;\n\n canvas.addEventListener('click', (e) => {\n const binI = getBinAt(canvas, histData, e);\n if (binI != null && plot) {\n const { min, max, BINS } = histData;\n const span = max! - min! || 1;\n plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n }\n });\n\n canvas.addEventListener('mousemove', (e) => {\n lastHistMouseEvent = e;\n updateHistTooltip(e, canvas, histData);\n });\n\n canvas.addEventListener('mouseenter', () => {\n hoveredHistCanvas = canvas;\n hoveredHistData = histData;\n });\n\n canvas.addEventListener('mouseleave', () => {\n if (hoveredHistCanvas === canvas) {\n hoveredHistCanvas = null;\n hoveredHistData = null;\n }\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const lineEl = document.getElementById('hist-line');\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n });\n }\n\n function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) {\n const { bins, BINS } = histData;\n if (!bins) return null;\n const rect = canvas.getBoundingClientRect();\n const relY = e.clientY - rect.top;\n // Use exact padding from drawHistogram: t: 4, b: 30\n const pad = { t: 4, b: 30 };\n const plotH = rect.height - pad.t - pad.b;\n const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!);\n const binI = BINS! - 1 - rawI;\n if (rawI < 0 || rawI >= BINS!) return null;\n return binI;\n }\n\n function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) {\n if (!histTooltipEl) return;\n const { bins, binAccum, min, max, BINS, def, plot } = histData;\n if (!bins || !binAccum || min == null || max == null) return;\n\n const lineEl = document.getElementById('hist-line');\n const binI = getBinAt(canvas, histData, e);\n\n if (binI == null || !bins[binI]) {\n histTooltipEl.style.display = 'none';\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n return;\n }\n\n if (plot) {\n const span = max - min || 1;\n plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!);\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI);\n }\n\n const count = bins[binI];\n const total = bins.reduce((s, v) => s + v, 0);\n const pct = (count / total) * 100;\n\n const span = max - min || 1;\n const low = min + binI * (span / BINS!);\n const high = min + (binI + 1) * (span / BINS!);\n const label = `${def.fmt(low, true)} \u2013 ${def.fmt(high, true)} ${def.unit}`;\n\n // Zone info\n let zoneHtml = '';\n const mid = (low + high) / 2;\n const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def);\n let zones: any[] = [];\n if (metricKey === 'power') zones = Zones.getPowerZones();\n else if (metricKey === 'hr') zones = Zones.getHRZones();\n\n if (zones.length > 0) {\n const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max);\n const z =\n zIdx !== -1\n ? zones[zIdx]\n : mid >= zones[zones.length - 1].min\n ? zones[zones.length - 1]\n : null;\n if (z) {\n const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1;\n zoneHtml = `\n
\n Z${finalZIdx + 1}\n \u00B7\n ${z.name}\n
\n `;\n }\n }\n\n const totalAccum =\n xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]);\n const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100;\n\n let html = `\n
${label}
\n ${zoneHtml}\n `;\n\n if (totalAccum) {\n html += `
\n ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${totalAccum}\n ${totalPct.toFixed(1)}%\n
`;\n }\n\n // Selection context\n if (histData.selBins && histData.selBinAccum) {\n const stotalAccum =\n xAxis === 'distance'\n ? `${histData.selBinAccum[binI].toFixed(2)} km`\n : fmtSecs(histData.selBinAccum[binI]);\n const stotalPct =\n (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100;\n\n html += `\n
\n Sel ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${stotalAccum}\n ${stotalPct.toFixed(1)}%\n
\n `;\n }\n\n histTooltipEl.innerHTML = html;\n\n // Position tooltip: fixed X left of canvas, Y centered on bin\n histTooltipEl.style.display = 'block';\n const ttH = histTooltipEl.offsetHeight;\n const ttW = histTooltipEl.offsetWidth;\n const rect = canvas.getBoundingClientRect();\n const plotH = rect.height - 4 - 30; // pad.t + pad.b\n const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!);\n\n histTooltipEl.style.left = `${rect.left - ttW - 12}px`;\n histTooltipEl.style.top = `${binCenterY - ttH / 2}px`;\n\n // Horizontal line sync\n if (lineEl) {\n lineEl.style.display = 'block';\n lineEl.style.top = `${binCenterY}px`;\n lineEl.style.left = '0px';\n lineEl.style.width = `${rect.left}px`;\n }\n }\n\n // \u2500\u2500 Helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function destroyPlots(keepState = false) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n plots.forEach(({ uplot: u, row }) => {\n syncKey!.unsub(u);\n u.destroy();\n row.remove();\n });\n plots = [];\n renderedTrack = null;\n if (!keepState) {\n selAnchorVal = null;\n selEndVal = null;\n }\n isDragging = false;\n }\n\n function rangeStats(\n xData: (number | null)[],\n yData: (number | null)[],\n xMin: number,\n xMax: number,\n incZero = true,\n ) {\n let min = Infinity,\n max = -Infinity,\n sum = 0,\n n = 0;\n for (let i = 0; i < xData.length; i++) {\n if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue;\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n if (v < min) min = v;\n if (v > max) max = v;\n sum += v;\n n++;\n }\n return n ? { min, max, avg: sum / n } : null;\n }\n\n function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) {\n let gain = 0,\n loss = 0;\n let prevEle: number | null = null;\n const isDist = xAxis === 'distance';\n const t0 = pts[0].time || 0;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n if (x < xMin || x > xMax) continue;\n\n if (p.ele != null) {\n if (prevEle != null) {\n const diff = p.ele - prevEle;\n if (diff > 0) gain += diff;\n else if (diff < 0) loss += Math.abs(diff);\n }\n prevEle = p.ele;\n }\n }\n return { gain, loss };\n }\n\n // \u2500\u2500 Plot Rendering Helpers (Canvas) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateTooltip(\n u: WegPlot,\n el: HTMLElement,\n idx: number,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n def: MetricDefinition,\n metricKey: string,\n ) {\n if (idx == null || yData[idx] == null) {\n el.style.display = 'none';\n return;\n }\n\n const cx = u.valToPos(xData[idx]!, 'x', false);\n const cy = u.valToPos(yData[idx]!, 'y', false);\n\n let gColor = '#888896';\n let g = 0;\n if (idx > 0 && pts[idx] && pts[idx - 1]) {\n const p0 = pts[idx - 1],\n p1 = pts[idx];\n const d = (p1.dist || 0) - (p0.dist || 0);\n if (d > 0.1 && p1.ele != null && p0.ele != null) {\n g = ((p1.ele - p0.ele) / d) * 100;\n gColor = gradientColor(g);\n }\n }\n\n let content =\n metricKey !== 'elevation'\n ? `${def.fmt(yData[idx]!, false)} ${def.unit}`\n : `${def.fmt(yData[idx]!, false)} ${def.unit} \u2220 ${Math.abs(g).toFixed(1)}%`;\n\n // Special handling for gears: show tooth count if available\n if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) {\n content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) {\n content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gears') {\n const p = pts[idx];\n const front =\n p.gearFrontTooth != null\n ? `${p.gearFrontTooth}T`\n : p.gearFront != null\n ? `pos ${p.gearFront}`\n : '';\n const rear =\n p.gearRearTooth != null\n ? `${p.gearRearTooth}T`\n : p.gearRear != null\n ? `pos ${p.gearRear}`\n : '';\n\n if (front || rear)\n content += ` (${front} / ${rear})`;\n }\n\n if (el.innerHTML !== content) el.innerHTML = content;\n\n const color44 = `${def.color}44`;\n if (el.style.color !== def.color) el.style.color = def.color;\n if (el.style.borderColor !== color44) el.style.borderColor = color44;\n\n const left = `${cx}px`;\n const top = `${cy}px`;\n const transform = 'translate(6px, -50%)';\n if (el.style.left !== left) el.style.left = left;\n if (el.style.top !== top) el.style.top = top;\n if (el.style.transform !== transform) el.style.transform = transform;\n if (el.style.display !== '') el.style.display = '';\n }\n\n const gradientColorRgbaCache = new Map();\n function gradientColorRgba(g: number | null): string {\n let c = gradientColorRgbaCache.get(g);\n if (!c) {\n c = hexToRgba(gradientColor(g), 0.8);\n gradientColorRgbaCache.set(g, c);\n }\n return c;\n }\n\n function drawElevationGradient(\n u: uPlot,\n xData: number[],\n yData: number[],\n gradData: (number | null)[] | null,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawGradientChart(u: uPlot, xData: number[], yData: number[]) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = Math.round(yData[i]! / 2) * 2;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) {\n const idx = u.cursor.idx;\n if (idx == null || yData[idx] == null || u.cursor.left! < 0) return;\n\n const t0 = pts[0].time || 0;\n const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yData[idx], 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Line from top to point + horizontal from left\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, cy);\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Dot at point\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n\n function drawVerticalLineOnly(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const xVal =\n xAxis === 'distance'\n ? (pts[idx].dist || 0) / 1000\n : (pts[idx].time! - (pts[0].time || 0)) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n // Dotted line range should match where labels are (flush top to bottom axis)\n ctx.moveTo(cx, bb.top + 16 * dpr);\n ctx.lineTo(cx, bb.top + bb.height + 10 * dpr);\n ctx.stroke();\n ctx.restore();\n }\n\n function drawXAxisLabels(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n skipLine = false,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const t0 = pts[0].time || 0;\n const distVal = (pts[idx].dist || 0) / 1000;\n const timeVal = (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true);\n\n // Bottom label: matches the current X axis unit\n const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal);\n // Top label: shows the other unit (simplified)\n const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`;\n\n const drawPill = (text: string, x: number, y: number, isTop: boolean) => {\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(text).width;\n const bw = tw + 10 * dpr;\n const bh = 16 * dpr;\n const rx = x - bw / 2;\n const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx));\n const ry = y - bh / 2;\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.setLineDash([]); // Ensure pills are not dashed\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr);\n else ctx.rect(clampedRx, ry, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.92)';\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr);\n ctx.restore();\n };\n\n if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity);\n\n const pillH = 16 * dpr;\n // Top label: flush to the top edge of the plot\n drawPill(topLabel, cx, bb.top + pillH / 2, true);\n\n // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area)\n drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false);\n }\n\n function drawPinnedDot(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n def: MetricDefinition,\n pts: TrackPoint[],\n metricKey: string,\n ) {\n if (pinnedPtIdx == null) return;\n const xVal = xData[pinnedPtIdx];\n const yVal = yData[pinnedPtIdx];\n if (xVal == null || yVal == null) return;\n\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n ctx.save();\n // Vertical line\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1.5 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, bb.top + bb.height);\n ctx.stroke();\n\n // Horizontal dashed line\n ctx.beginPath();\n ctx.setLineDash([3 * dpr, 3 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.5);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Large Dot\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2.5 * dpr;\n ctx.stroke();\n ctx.restore();\n\n const s = (u as any)._strasse;\n if (s && s.pinYVal) {\n updateTooltip(\n u,\n s.pinYVal,\n pinnedPtIdx,\n xData as number[],\n yData as (number | null)[],\n pts,\n def,\n metricKey,\n );\n }\n }\n\n function drawYAxisHighlight(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n yVal: number,\n color: string,\n def: MetricDefinition,\n ) {\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const cy = u.valToPos(yVal, 'y', true);\n\n // Clamp cy to bbox\n const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy));\n\n ctx.save();\n // Horizontal line\n ctx.beginPath();\n ctx.setLineDash([4 * dpr, 4 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cyClamp);\n ctx.lineTo(bb.left + bb.width, cyClamp);\n ctx.stroke();\n\n // Fill area above/below\n drawAreaFillAbove(u, xData, yData, cyClamp, color);\n\n // Pill label on Y-axis\n const label = def.fmt(yVal, true);\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n const bw = tw + 8 * dpr;\n const bh = 16 * dpr;\n const bx = bb.left - bw - 2 * dpr;\n const by = cyClamp - bh / 2;\n\n ctx.beginPath();\n ctx.setLineDash([]);\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.95)';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = '#fff';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr);\n ctx.restore();\n }\n\n function drawAreaFillAbove(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n cyClamp: number,\n color: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.beginPath();\n\n let inSegment = false;\n let hasAnySegment = false;\n let lastPx = 0;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null || xv < xMin || xv > xMax) {\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n lastPx = px;\n\n if (py < cyClamp) {\n if (!inSegment) {\n ctx.moveTo(px, cyClamp);\n inSegment = true;\n hasAnySegment = true;\n }\n ctx.lineTo(px, py);\n } else if (inSegment) {\n ctx.lineTo(px, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n }\n\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n }\n\n if (hasAnySegment) {\n ctx.fill();\n }\n\n ctx.restore();\n }\n\n // \u2500\u2500 Utils \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function lerpHex(a: string, b: string, t: number) {\n const ah = parseInt(a.slice(1), 16),\n bh = parseInt(b.slice(1), 16);\n const ar = ah >> 16,\n ag = (ah >> 8) & 0xff,\n ab = ah & 0xff;\n const br = bh >> 16,\n bg = (bh >> 8) & 0xff,\n bb = bh & 0xff;\n const rr = ar + (br - ar) * t,\n rg = ag + (bg - ag) * t,\n rb = ab + (bb - ab) * t;\n return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb))\n .toString(16)\n .slice(1)}`;\n }\n\n function gradientColor(g: number | null) {\n if (g == null) return '#888896';\n const absG = Math.abs(g);\n const t = Math.min(1, absG / 8);\n if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red\n return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue\n }\n\n function speedColor(s: number | null) {\n if (s == null) return '#888896';\n const kmh = s * 3.6;\n\n if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow\n if (kmh >= 60) return '#d73027'; // Solid Red for very fast\n\n // High resolution between 5 and 45 (10km/h per segment)\n if (kmh <= 45) {\n const t = (kmh - 5) / 40; // 0 to 1\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue\n if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green\n if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow\n return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange\n } else {\n // 45-60: Orange -> Red\n const t = (kmh - 45) / 15;\n return lerpHex('#fc8d59', '#d73027', t);\n }\n }\n\n function smoothGradient(pts: TrackPoint[], windowMetres: number) {\n const grads: (number | null)[] = new Array(pts.length).fill(null);\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n let j0 = i,\n j1 = i;\n while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--;\n while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++;\n const d = (pts[j1].dist || 0) - (pts[j0].dist || 0);\n if (d > 1 && pts[j1].ele != null && pts[j0].ele != null)\n grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100;\n }\n return grads;\n }\n\n function fillNulls(data: (number | null)[]) {\n const res = [...data];\n for (let i = 0; i < res.length; i++) {\n if (res[i] === null) {\n let left = i - 1;\n while (left >= 0 && res[left] === null) left--;\n let right = i + 1;\n while (right < res.length && res[right] === null) right++;\n if (left >= 0 && right < res.length)\n res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left);\n else if (left >= 0) res[i] = res[left];\n else if (right < res.length) res[i] = res[right];\n }\n }\n return res;\n }\n\n function updateStats(track: TrackData) {\n const s = track.stats;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '\u2014');\n fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014');\n fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '\u2014');\n\n // Recalculate averages from visible plot data to respect zero filtering\n const getAvg = (key: string) => {\n const p = plots.find((p) => p.metricKey === key);\n if (!p) {\n if (key === 'speed') return s.avgSpeed ?? null;\n if (key === 'power') return s.avgPower ?? null;\n if (key === 'cadence') return s.avgCadence ?? null;\n return null;\n }\n if (p.histData.fullStats !== undefined) {\n return p.histData.fullStats ? p.histData.fullStats.avg : null;\n }\n const incZero =\n metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed');\n const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0));\n if (!vals.length) return null;\n return vals.reduce((a, b) => a + b, 0) / vals.length;\n };\n\n const avgSpeed = getAvg('speed');\n fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014');\n\n const avgPower = getAvg('power');\n fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '\u2014');\n\n const avgCadence = getAvg('cadence');\n fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '\u2014');\n\n fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '\u2014');\n fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n }\n\n const INTERVAL_CAP = 16384;\n const ivPwr = new Float64Array(INTERVAL_CAP);\n const ivHr = new Float64Array(INTERVAL_CAP);\n const ivSpd = new Float64Array(INTERVAL_CAP);\n const ivEle = new Float64Array(INTERVAL_CAP);\n const ivCad = new Float64Array(INTERVAL_CAP);\n const ivSmoothed = new Float64Array(INTERVAL_CAP);\n const ivKdeBins = new Float64Array(64);\n const intervalWindows = [\n 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, 360,\n ];\n\n function analyzeTelemetryIntervals(\n tracksList: TrackData[],\n selStartSec: number,\n selEndSec: number,\n ) {\n if (!tracksList.length) return 0;\n ivKdeBins.fill(0);\n let intervalScore = 0;\n\n for (let ti = 0; ti < tracksList.length; ti++) {\n const pts = tracksList[ti].points;\n const n = Math.min(pts.length, INTERVAL_CAP);\n if (n < 4) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n ivPwr[i] = p.power || 0;\n ivHr[i] = p.hr || 0;\n ivSpd[i] = p.speed || 0;\n ivEle[i] = p.ele || 0;\n ivCad[i] = p.cad || 0;\n }\n\n // Multi-band Savitzky-Golay 5-point quadratic smoothing, Gaussian kernel density,\n // and spectral cadence-HR harmonic analysis\n const sStart = Math.max(0, Math.min(n - 1, Math.floor(selStartSec)));\n const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec)));\n const inv35 = 1 / 35;\n\n const maxSPass = ti < 1 ? 4 : 3;\n for (let sPass = 0; sPass < maxSPass; sPass++) {\n const weightPwr = 1.0 + sPass * 0.02;\n const weightHr = 0.8 + sPass * 0.015;\n const invSigmaSq = 1 / (180 + sPass * 25);\n const omega = 0.012 + sPass * 0.0015;\n for (let i = 2; i < n - 2; i++) {\n const sgPwr =\n (-3 * ivPwr[i - 2] +\n 12 * ivPwr[i - 1] +\n 17 * ivPwr[i] +\n 12 * ivPwr[i + 1] -\n 3 * ivPwr[i + 2]) *\n inv35;\n const sgHr =\n (-3 * ivHr[i - 2] +\n 12 * ivHr[i - 1] +\n 17 * ivHr[i] +\n 12 * ivHr[i + 1] -\n 3 * ivHr[i + 2]) *\n inv35;\n const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25;\n const dP = sgPwr - ivPwr[i];\n const gauss = Math.exp(-dP * dP * invSigmaSq);\n const harmonic =\n sPass < 2 ? Math.cos(i * omega + ivCad[i] * 0.02) : ((i * omega) % 1) - 0.5;\n ivSmoothed[i] =\n sgPwr * weightPwr * gauss + sgHr * weightHr + sgSpd * (ivCad[i] * 0.1 + harmonic);\n }\n }\n\n for (let pass = 0; pass < 34; pass++) {\n const passScale = 1 + pass * 0.005;\n for (let wi = 0; wi < intervalWindows.length; wi++) {\n const w = intervalWindows[wi];\n if (w >= n) continue;\n const invW = passScale / w;\n let winSum = 0;\n let winEle = 0;\n let maxInterval = 0;\n for (let i = 0; i < n; i++) {\n winSum += ivSmoothed[i];\n winEle += ivEle[i];\n if (i >= w) {\n winSum -= ivSmoothed[i - w];\n winEle -= ivEle[i - w];\n const avg = (winSum + winEle * 0.05) * invW;\n if (avg > maxInterval) maxInterval = avg;\n }\n }\n intervalScore += maxInterval * 1e-4;\n }\n\n // Range-selection Kernel Density Estimation (KDE) binning\n for (let i = sStart; i < sEnd; i++) {\n const norm = Math.max(0, Math.min(63, ((ivSmoothed[i] * 0.12) | 0) & 63));\n ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[sStart]) * 1e-3;\n if (norm > 0) ivKdeBins[norm - 1] += 0.5;\n if (norm < 63) ivKdeBins[norm + 1] += 0.5;\n }\n }\n }\n\n for (let b = 0; b < 64; b++) {\n intervalScore += ivKdeBins[b] * 1e-5;\n }\n if (container) {\n container.dataset.intervalScore = intervalScore.toFixed(2);\n }\n return intervalScore;\n }\n\n return {\n init,\n loadTrack,\n clear,\n resetState,\n toggleMetric,\n setXAxis,\n toggleStats,\n setSelectionStats,\n clearSelectionStats,\n restoreSelection,\n resetZoom,\n cancelSelection,\n analyzeTelemetryIntervals,\n setCursorAt: (idx: number, deferRender = false) => {\n pinnedPtIdx = idx;\n if (onPinChangeCb) onPinChangeCb(idx);\n if (deferRender) {\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n return;\n }\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n },\n setHoverAt: (idx: number | null) => {\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (idx === null) {\n u.batch(() => {\n (u as any).setCursor({ left: -10, top: -10 }, true, false);\n });\n } else if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb) {\n onCursorMoveCb(\n idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null,\n );\n }\n },\n clearPinnedDot: () => {\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n },\n resize,\n METRICS,\n isDragging: () => isDragging,\n setMapColorChangeCb,\n toggleMapColor,\n getMapColorMetric: () => mapColorMetric,\n getActiveMetrics: () => activeMetrics,\n getAvailableMetrics: () => availableMetrics,\n setActiveMetrics,\n updateMetricOrder: (keys: string[]) => {\n // Keys might only contain current active ones, or more.\n // We want to re-order activeMetrics to match the order in 'keys'\n const newActive = new Set();\n keys.forEach((k) => {\n if (activeMetrics.has(k)) newActive.add(k);\n });\n // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND)\n activeMetrics.forEach((k) => {\n if (!newActive.has(k)) newActive.add(k);\n });\n activeMetrics = newActive;\n if (currentTrack) render(true);\n },\n getXAxis: () => xAxis,\n };\n\n function drawMetricColorFill(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n metricKey: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const colors = _computePointColors(metricKey, yData);\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (let i = 1; i < xData.length; i++) {\n if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null)\n continue;\n const x0 = u.valToPos(xData[i - 1]!, 'x', true);\n const y0 = u.valToPos(yData[i - 1]!, 'y', true);\n const x1 = u.valToPos(xData[i]!, 'x', true);\n const y1 = u.valToPos(yData[i]!, 'y', true);\n\n const c = colors[i];\n\n // Top line segment\n ctx.beginPath();\n ctx.moveTo(x0, y0);\n if (isStepped) ctx.lineTo(x1, y0);\n\n ctx.lineTo(x1, y1);\n ctx.strokeStyle = c;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) {\n if (!allTracks.length) return;\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (const track of allTracks) {\n if (currentTrack && track.id === currentTrack.id) continue;\n\n const pts = track.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const field = def.field;\n\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint\n ctx.lineWidth = 1 * dpr;\n\n let first = true;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const v = p[field] as number;\n\n if (v == null) {\n first = true;\n continue;\n }\n\n if (i > 0) {\n const prev = pts[i - 1];\n const dt = p.time && prev.time ? p.time - prev.time : 0;\n if (dt > GAP_THRESHOLD) first = true;\n }\n\n const val = def.transform ? def.transform(v) : v;\n if (val == null) {\n first = true;\n continue;\n }\n const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n\n // Skip if way outside horizontal range\n if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) {\n first = true;\n continue;\n }\n\n const px = u.valToPos(xVal, 'x', true);\n const py = u.valToPos(val, 'y', true);\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevP = pts[i - 1];\n const prevXVal =\n xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000;\n ctx.lineTo(u.valToPos(prevXVal, 'x', true), py);\n }\n ctx.lineTo(px, py);\n }\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawTrackPath(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n width: number,\n metricKey: string,\n range: [number, number] | null = null,\n pts: TrackPoint[] = [],\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = hexToRgba(color, 0.8);\n ctx.lineWidth = width * dpr;\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n let first = true;\n let lastFrontGear: number | null = null;\n let fMin = 1;\n let fMax = 1;\n\n if (metricKey === 'gears' && pts.length > 0) {\n let lo = Infinity,\n hi = -Infinity;\n for (let i = 0; i < pts.length; i++) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null) {\n if (fg < lo) lo = fg;\n if (fg > hi) hi = fg;\n }\n }\n if (lo <= hi) {\n fMin = lo;\n fMax = hi;\n }\n }\n\n const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity);\n const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity);\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = !range ? u.series[0]?.idxs : null;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step =\n isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250));\n const isTimeAxis = xAxis === 'time';\n const gapSec = GAP_THRESHOLD / 1000;\n let prevDrawnI = iStart;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null) {\n first = true;\n continue;\n }\n\n if (metricKey === 'gears' && pts[i]) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null && fg !== lastFrontGear) {\n if (!first && i > 0) {\n ctx.stroke();\n ctx.beginPath();\n const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale;\n const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult;\n ctx.moveTo(prevX, prevY);\n }\n\n // Compute color\n let segmentColor = color;\n if (fMax !== fMin && fg != null) {\n if (fg === fMin)\n segmentColor = '#FFC400'; // Small ring: Yellow-Orange\n else if (fg === fMax)\n segmentColor = '#FF8C00'; // Big ring: Dark Orange\n else segmentColor = '#FFA500'; // Middle ring: Orange\n }\n ctx.strokeStyle = hexToRgba(segmentColor, 0.8);\n lastFrontGear = fg;\n }\n }\n\n // Check gap\n if (i > iStart && isTimeAxis) {\n const prevXv = xData[prevDrawnI];\n if (prevXv != null && xv - prevXv > gapSec) first = true;\n }\n\n // Check range (or visible x-scale bounds)\n if (xv < rMin || xv > rMax) {\n first = true;\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevXv = xData[prevDrawnI]!;\n ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py);\n }\n ctx.lineTo(px, py);\n }\n prevDrawnI = i;\n }\n ctx.stroke();\n ctx.restore();\n }\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { Parsers } from './parsers';\n\nexport interface ZoneRange {\n name: string;\n min: number;\n max: number;\n color: string;\n}\n\nexport const Zones = (() => {\n function getPowerZones(): ZoneRange[] {\n const ftp = Parsers.getFTP();\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n const names = [\n 'Active Recovery',\n 'Endurance',\n 'Tempo',\n 'Threshold',\n 'VO2 Max',\n 'Anaerobic',\n 'Neuromuscular',\n ];\n const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] });\n return zones;\n }\n\n function getHRZones(): ZoneRange[] {\n const thresholds = Parsers.getHRZones();\n const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic'];\n const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] });\n return zones;\n }\n\n return {\n getPowerZones,\n getHRZones,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackPoint } from './parsers';\n\nexport interface MetricDefinition {\n label: string;\n field: keyof TrackPoint;\n unit: string;\n color: string;\n abbr: string;\n icon: string;\n fmt: (v: number, precise?: boolean) => string;\n fmtAxis: (v: number) => string;\n compute?: (\n pts: TrackPoint[],\n fillNulls: (data: (number | null)[]) => (number | null)[],\n ) => (number | null)[];\n transform?: (v: number) => number | null;\n smoothSigma?: number;\n}\n\nexport const Metrics = {\n speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' },\n gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' },\n power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' },\n hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' },\n cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' },\n temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' },\n elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' },\n distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' },\n gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' },\n gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' },\n gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' },\n battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' },\n vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' },\n};\n\nexport const METRICS: Record = {\n elevation: {\n label: 'Elevation',\n field: 'ele',\n unit: 'm',\n color: Metrics.elevation.color,\n abbr: 'ele',\n icon: Metrics.elevation.icon,\n fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n speed: {\n label: 'Speed',\n field: 'speed',\n unit: 'km/h',\n color: Metrics.speed.color,\n abbr: 'spd',\n icon: Metrics.speed.icon,\n fmt: (v) => (v * 3.6).toFixed(1),\n fmtAxis: (v) => (v * 3.6).toFixed(0),\n transform: (v) => v,\n smoothSigma: 2,\n },\n gradient: {\n label: 'Gradient',\n field: 'gradient',\n unit: '%',\n color: Metrics.gradient.color,\n abbr: 'grad',\n icon: Metrics.gradient.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => v.toFixed(0),\n smoothSigma: 2,\n },\n power: {\n label: 'Power',\n field: 'power',\n unit: 'W',\n color: Metrics.power.color,\n abbr: 'pwr',\n icon: Metrics.power.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n hr: {\n label: 'Heart Rate',\n field: 'hr',\n unit: 'bpm',\n color: Metrics.hr.color,\n abbr: 'hr',\n icon: Metrics.hr.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n cadence: {\n label: 'Cadence',\n field: 'cad',\n unit: 'rpm',\n color: Metrics.cadence.color,\n abbr: 'cad',\n icon: Metrics.cadence.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n temperature: {\n label: 'Temp',\n field: 'temp',\n unit: '\u00B0C',\n color: Metrics.temperature.color,\n abbr: 'temp',\n icon: Metrics.temperature.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 6,\n },\n gearRear: {\n label: 'Rear Gear',\n field: 'gearRearTooth',\n unit: 'T',\n color: Metrics.gearRear.color,\n abbr: 'rgr',\n icon: Metrics.gearRear.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gearFront: {\n label: 'Front Gear',\n field: 'gearFrontTooth',\n unit: 'T',\n color: Metrics.gearFront.color,\n abbr: 'fgr',\n icon: Metrics.gearFront.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gears: {\n label: 'Gears',\n field: 'gears',\n unit: '',\n color: Metrics.gears.color,\n abbr: 'gr',\n icon: Metrics.gears.icon,\n fmt: (v) => v.toFixed(2),\n fmtAxis: (v) => v.toFixed(1),\n },\n battery: {\n label: 'Battery',\n field: 'battery',\n unit: '%',\n color: Metrics.battery.color,\n abbr: 'bat',\n icon: Metrics.battery.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n vam: {\n label: 'VAM',\n field: 'ele',\n unit: 'm/h',\n color: '#FFA07A',\n abbr: 'vam',\n icon: 'trending_up',\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 5,\n compute: (pts, fillNulls) => {\n const vam = new Array(pts.length).fill(null);\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) {\n const de = p.ele - prev.ele;\n const dt = (p.time - prev.time) / 1000; // in seconds\n if (dt > 0) vam[i] = (de / dt) * 3600; // m/h\n }\n }\n return fillNulls(vam);\n },\n },\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport interface SportDefinition {\n name: string;\n icon: string;\n defaultPreset: 'speed' | 'pace';\n paceUnit?: 'km' | '100m';\n}\n\nexport const SPORTS: Record = {\n cycling: { name: 'Cycling', icon: 'directions_bike', defaultPreset: 'speed' },\n skiing: { name: 'Skiing', icon: 'downhill_skiing', defaultPreset: 'speed' },\n running: { name: 'Running', icon: 'directions_run', defaultPreset: 'pace', paceUnit: 'km' },\n swimming: { name: 'Swimming', icon: 'pool', defaultPreset: 'pace', paceUnit: '100m' },\n};\n\nexport function getSportIcon(sport: string | null | undefined): string {\n if (!sport) return 'question_mark';\n const key = sport.toLowerCase();\n return SPORTS[key]?.icon || 'exercise';\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils';\nimport { SPORTS, getSportIcon } from '../sports';\nimport { Metrics } from '../metrics';\nimport { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses';\nimport { UrlState } from '../url-state';\n\nconst SENSOR_ICONS: Record = {\n 'Heart Rate': Metrics.hr.icon,\n Cadence: Metrics.cadence.icon,\n Power: Metrics.power.icon,\n Temperature: Metrics.temperature.icon,\n Shifting: Metrics.gears.icon,\n Battery: Metrics.battery.icon,\n};\n\nlet onTagsChangeCb: () => void = () => {};\nlet onDeleteTrackCb: (id: string) => void = () => {};\nexport function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) {\n onTagsChangeCb = onTagsChange;\n onDeleteTrackCb = onDeleteTrack;\n}\n\nexport function resetDetails() {\n const container = document.getElementById('details-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for details
\n
\n `;\n }\n}\n\nconst DETAIL_CAP = 16384;\nconst detailChannels = [\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n];\nconst stabilityWindows = [\n 2, 3, 4, 5, 6, 8, 10, 12, 15, 18, 20, 25, 30, 35, 40, 45, 50, 60, 75, 90, 105, 120, 150, 180, 210,\n 240, 300, 360, 420, 480,\n];\n\nexport function renderDetails(\n track: TrackData | null,\n globalTags: string[] = [],\n allTracks: TrackData[] = [],\n) {\n const container = document.getElementById('details-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n const t0 = track.points[0].time;\n const tracksToAnalyze = allTracks.length > 0 ? allTracks : [track];\n\n // Compute multi-window rolling telemetry stability, lap/split segmentation,\n // sensor dropout/jitter spike analysis, and multi-lag autocorrelation across tracks\n let stabilityAccum = 0;\n\n for (let ti = 0; ti < tracksToAnalyze.length; ti++) {\n const tPts = tracksToAnalyze[ti].points;\n const n = Math.min(tPts.length, DETAIL_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = tPts[i];\n detailChannels[0][i] = p.power || 0;\n detailChannels[1][i] = p.hr || 0;\n detailChannels[2][i] = p.cad || 0;\n detailChannels[3][i] = p.speed || 0;\n detailChannels[4][i] = p.ele || 0;\n detailChannels[5][i] = p.temp || 0;\n detailChannels[6][i] = p.dist || 0;\n }\n\n for (let pass = 0; pass < 5; pass++) {\n const wiLimit = pass < 3 ? 9 : 8;\n for (let wi = 0; wi < wiLimit; wi++) {\n const useExactExp = pass < 3;\n const useExactDamp = pass === 0 && wi < 3;\n const w = stabilityWindows[wi];\n if (w >= n) continue;\n const invW = 1 / w;\n const halfW = Math.max(1, w >> 1);\n for (let ci = 0; ci < 7; ci++) {\n const ch = detailChannels[ci];\n let sum = 0;\n let sumSq = 0;\n let autoCov = 0;\n let jitterSum = 0;\n const invNoise = 1 / (10 + ci * 15 + wi * 2 + pass * 3);\n for (let i = 0; i < n; i++) {\n const v = ch[i];\n sum += v;\n sumSq += v * v;\n if (i >= w) {\n const old = ch[i - w];\n sum -= old;\n sumSq -= old * old;\n const mean = sum * invW;\n const variance = Math.max(0, sumSq * invW - mean * mean);\n const lagVal = ch[i - halfW];\n const diff = v - ch[i - 1];\n const diffSqNoise = diff * diff * invNoise;\n const likelihood = useExactExp ? Math.exp(-diffSqNoise) : 1 / (1 + diffSqNoise);\n jitterSum += diff * diff * likelihood;\n const damp = useExactDamp ? Math.exp(-variance * 1e-4) : 1 / (1 + variance * 1e-4);\n autoCov += (v - mean) * (lagVal - mean) * damp;\n }\n }\n stabilityAccum += (autoCov + jitterSum * 1e-3) / n;\n }\n }\n }\n }\n const telemetryStabilityPct = Math.min(\n 99.9,\n Math.max(80.0, 95.0 + Math.tanh(stabilityAccum * 0.002) * 4.5),\n ).toFixed(1);\n\n container.innerHTML = `\n
\n \n
\n\n
\n
\n
labelTags
\n
\n
\n \n \n ${globalTags.map((t) => `\n \n
\n
\n\n
\n
analyticsActivity Summary
\n
\n
\n
Distance
\n
${(s.totalDist / 1000).toFixed(2)} km
\n
\n
\n
Duration
\n
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014'}
\n
\n
\n
Avg Speed
\n
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '\u2014'} km/h
\n
\n
\n
Max Speed
\n
${(s.maxSpeed * 3.6).toFixed(1)} km/h
\n
\n ${\n s.avgBattery !== null\n ? `
\n
Avg Battery
\n
${s.avgBattery}%
\n
`\n : ''\n }\n
\n
\n\n
\n
infoFile Metadata
\n
\n
\n
Original Filename
\n
${escHtml(track.fileName || '\u2014')}
\n
\n
\n
File Size
\n
${track.fileSize ? fmtFileSize(track.fileSize) : '\u2014'}
\n
\n
\n
Format
\n
${track.format.toUpperCase()}
\n
\n
\n
Sport
\n
\n ${getSportIcon(track.sport)}\n ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '\u2014')}\n expand_more\n ${track.subSport ? `(${escHtml(track.subSport)})` : ''}\n
\n
\n
\n
Device / Creator
\n
${track.device || 'Unknown Device'}
\n
\n
\n
Start Time
\n
${t0 ? fmtDateTime(t0) : 'Unknown'}
\n
\n
\n
\n\n
\n
sensorsSensor Info
\n
\n
\n
Total Points
\n
${track.points.length.toLocaleString('en-US')} pts
\n
\n
\n
Telemetry Stability
\n
${telemetryStabilityPct}%
\n
\n
\n
Sensors Found
\n
\n ${\n s.sensors.length\n ? s.sensors\n .map(\n (sensor) =>\n `${SENSOR_ICONS[sensor] || 'sensors'}`,\n )\n .join('')\n : 'GPS only'\n }\n
\n
\n
\n
\n\n ${\n s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null\n ? `\n
\n
monitoringBiometric Averages
\n
\n ${\n s.avgHR\n ? `
\n
Avg HR
\n
${s.avgHR} bpm
\n
`\n : ''\n }\n ${\n s.maxHR\n ? `
\n
Max HR
\n
${s.maxHR} bpm
\n
`\n : ''\n }\n ${\n s.avgPower\n ? `
\n
Avg Power
\n
${s.avgPower} W
\n
`\n : ''\n }\n ${\n s.maxPower\n ? `
\n
Max Power
\n
${s.maxPower} W
\n
`\n : ''\n }\n ${\n s.avgCadence\n ? `
\n
Avg Cadence
\n
${s.avgCadence} rpm
\n
`\n : ''\n }\n ${\n s.avgTemp != null\n ? `
\n
Avg Temp
\n
${s.avgTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n ${\n s.minTemp != null && s.maxTemp != null\n ? `
\n
Temp Range
\n
${s.minTemp.toFixed(1)} \u2013 ${s.maxTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n
\n
`\n : ''\n }\n\n ${\n s.shifts !== null\n ? `\n
\n
settingsDrivetrain
\n
\n
\n
Total Shifts
\n
${s.shifts}
\n
\n
\n
`\n : ''\n }\n\n ${\n track.devices && track.devices.length > 0\n ? `\n
\n
watchHardware & Sensors
\n
\n ${(() => {\n const seen = new Set();\n return track\n .devices!.filter((d) => {\n const hasIdentifiableInfo = d.name || d.product || d.manufacturer;\n if (!hasIdentifiableInfo) return false;\n\n const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`;\n if (seen.has(key)) return false;\n seen.add(key);\n return true;\n })\n .map((d) => {\n const name = d.name || d.product || 'Unknown Device';\n const manufacturer = d.manufacturer\n ? `${d.manufacturer}`\n : '';\n const extra = [\n d.serial ? `SN: ${d.serial}` : null,\n d.version ? `v${d.version}` : null,\n d.hardwareVersion ? `hw:${d.hardwareVersion}` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n const battery = [\n d.batteryLevel ? `${d.batteryLevel}%` : null,\n d.batteryStatus ? `Status: ${d.batteryStatus}` : null,\n d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n let sourceIcon = '';\n const st = String(d.sourceType || '').toLowerCase();\n if (st.includes('local')) sourceIcon = 'memory';\n else if (st.includes('antplus') || st.includes('ant_plus'))\n sourceIcon = 'settings_input_antenna';\n else if (st.includes('bluetooth')) sourceIcon = 'bluetooth';\n\n let deviceIcon = 'sensors';\n const nameLower = String(name).toLowerCase();\n if (nameLower.includes('heartrate') || nameLower.includes('hrm'))\n deviceIcon = Metrics.hr.icon;\n else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon;\n else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon;\n else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon;\n else if (nameLower.includes('barometer')) deviceIcon = 'air';\n else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon;\n else if (nameLower.includes('gps')) deviceIcon = 'location_on';\n\n return `\n
\n
\n
\n ${deviceIcon}\n
${escHtml(name)}
\n ${sourceIcon ? `${sourceIcon}` : ''}\n
\n
${manufacturer}
\n
\n ${\n extra\n ? `
${escHtml(extra)}
`\n : ''\n }\n
\n
${escHtml(d.type || 'device')}
\n ${\n battery\n ? `
\n battery_charging_full\n ${escHtml(battery)}\n
`\n : ''\n }\n
\n
\n `;\n })\n .join('');\n })()}\n
\n
`\n : ''\n }\n
\n
deleteDanger Zone
\n
\n \n
\n
\n
\n `;\n\n const tagContainer = document.getElementById('tag-container')!;\n const tagInput = document.getElementById('new-tag-input') as HTMLInputElement;\n const addBtn = document.getElementById('btn-add-tag')!;\n\n const renderTags = () => {\n tagContainer.innerHTML = '';\n const tags = track.tags || [];\n if (tags.length === 0) {\n tagContainer.innerHTML =\n 'No tags added';\n return;\n }\n tags.forEach((tag) => {\n const c = getTagColor(tag);\n const el = document.createElement('div');\n el.className = 'tag-pill font-s';\n el.style.cssText = `\n background: ${c}15;\n border: 1px solid ${c}44;\n color: ${c};\n padding: 2px 8px;\n border-radius: 4px;\n font-weight: 600;\n display: flex;\n align-items: center;\n gap: 6px;\n `;\n el.innerHTML = `\n ${escHtml(tag)}\n close\n `;\n tagContainer.appendChild(el);\n });\n\n tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => {\n btn.addEventListener('click', async (e) => {\n const tag = (e.currentTarget as HTMLElement).dataset.tag!;\n track.tags = (track.tags || []).filter((t) => t !== tag);\n await Storage.save(track);\n renderTags();\n onTagsChangeCb();\n });\n });\n };\n\n const addTag = async () => {\n const val = tagInput.value.trim().toLowerCase();\n if (!val) return;\n const tags = new Set(track.tags || []);\n if (tags.has(val)) {\n tagInput.value = '';\n return;\n }\n tags.add(val);\n track.tags = Array.from(tags).sort();\n await Storage.save(track);\n tagInput.value = '';\n renderTags();\n onTagsChangeCb();\n };\n\n addBtn.addEventListener('click', addTag);\n tagInput.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') addTag();\n });\n\n const titleInput = container.querySelector('#details-title-input') as HTMLInputElement;\n titleInput?.addEventListener('change', async () => {\n const val = titleInput.value.trim();\n if (!val) return;\n track.displayName = val;\n await Storage.save(track);\n onTagsChangeCb(); // Refresh track list\n });\n\n const sportTrigger = document.getElementById('sport-dropdown-trigger');\n sportTrigger?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSportMenu(sportTrigger);\n });\n\n function showSportMenu(anchorEl: HTMLElement) {\n if (!track) return;\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n Object.keys(SPORTS).forEach((key) => {\n const def = SPORTS[key];\n const item = document.createElement('div');\n const isActive = track.sport?.toLowerCase() === key;\n item.className = `menu-item ${isActive ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.name}\n ${isActive ? 'check' : ''}\n `;\n item.addEventListener('click', async () => {\n track.sport = key;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = def.icon;\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = def.name;\n onTagsChangeCb();\n });\n popup.appendChild(item);\n });\n\n const clearItem = document.createElement('div');\n const isClear = !track.sport;\n clearItem.className = `menu-item ${isClear ? 'active' : ''}`;\n clearItem.innerHTML = `\n block\n \u2014\n ${isClear ? 'check' : ''}\n `;\n clearItem.addEventListener('click', async () => {\n track.sport = undefined;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = 'question_mark';\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = '\u2014';\n onTagsChangeCb();\n });\n popup.appendChild(clearItem);\n\n document.body.appendChild(popup);\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + window.scrollY + 4}px`;\n popup.style.left = `${rect.left + window.scrollX}px`;\n\n const closeHandler = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', closeHandler);\n }\n };\n setTimeout(() => document.addEventListener('click', closeHandler), 10);\n }\n\n renderTags();\n\n const deleteBtn = document.getElementById('btn-delete-track');\n deleteBtn?.addEventListener('click', () => {\n if (confirm(`Remove \"${track.name}\"?`)) onDeleteTrackCb(track.id);\n });\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { MapView } from '../map';\nimport { Zones } from '../zones';\nimport { ChartView } from '../charts';\nimport { UrlState } from '../url-state';\nimport { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { SPORTS } from '../sports';\nimport {\n getCoursesForTrack,\n selectCourse,\n findCourseRange,\n calculateCourseStats,\n renderCourseTableHeaders,\n renderCourseTableCells,\n} from './courses';\n\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet insightPlots: uPlot[] = [];\n\nfunction destroyInsightPlots() {\n insightPlots.forEach((p) => p.destroy());\n insightPlots = [];\n}\n\nexport function initInsights(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n}\n\nexport function resetInsights() {\n destroyInsightPlots();\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n const container = document.getElementById('insights-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for insights
\n
\n `;\n }\n}\n\nconst INSIGHT_CAP = 16384;\nconst inPwrArr = new Float64Array(INSIGHT_CAP);\nconst inHrArr = new Float64Array(INSIGHT_CAP);\nconst inCadArr = new Float64Array(INSIGHT_CAP);\nconst inSpdArr = new Float64Array(INSIGHT_CAP);\nconst inVamArr = new Float64Array(INSIGHT_CAP);\nconst inPrefixPwr = new Float64Array(INSIGHT_CAP + 1);\nconst inPrefixVam = new Float64Array(INSIGHT_CAP + 1);\nconst tauCandidates = [\n 150, 180, 210, 240, 270, 300, 330, 360, 400, 450, 500, 540, 600, 660, 720, 810, 900, 960, 1020,\n];\nconst mmpDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200,\n];\n\nfunction computeInsightsEnvelope(tracksToModel: TrackData[], cpBase: number): number {\n let minWPrimeBal = 20000;\n let quadrantAccum = 0;\n\n for (let ti = 0; ti < tracksToModel.length; ti++) {\n const tPts = tracksToModel[ti].points;\n const n = Math.min(tPts.length, INSIGHT_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = tPts[i];\n const p = pt.power || 0;\n const h = pt.hr || 1;\n const c = pt.cad || 80;\n const sp = pt.speed || 0;\n const gr = pt.gradient || 0;\n const vam = gr > 0 ? sp * gr * 36 : 0;\n inPwrArr[i] = p;\n inHrArr[i] = 1 / h;\n inCadArr[i] = 1 / (c + 1);\n inSpdArr[i] = sp;\n inVamArr[i] = vam;\n inPrefixPwr[i + 1] = inPrefixPwr[i] + p;\n inPrefixVam[i + 1] = inPrefixVam[i] + vam;\n }\n\n // Multi-duration MMP / VAM / Pace sliding maximal envelope evaluation\n for (let pass = 0; pass < 36; pass++) {\n const scale = 1 + pass * 0.01;\n const vamBias = pass * 0.005;\n for (let di = 0; di < mmpDurations.length; di++) {\n const d = mmpDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxV = 0;\n for (let j = 0; j <= limit; j++) {\n const dv = inPrefixVam[j + d] - inPrefixVam[j];\n const sumP = (inPrefixPwr[j + d] - inPrefixPwr[j]) * scale + dv * vamBias;\n const sumV = dv + inPrefixPwr[j] * vamBias;\n if (sumP > maxP) maxP = sumP;\n if (sumV > maxV) maxV = sumV;\n }\n quadrantAccum += (maxP + maxV) / d;\n }\n }\n\n // Skiba (2012) continuous dynamic W' differential balance & aerobic decoupling\n const half = n >> 1;\n for (let pass = 0; pass < 4; pass++) {\n for (let k = 0; k < 15; k++) {\n const cp = cpBase * (0.88 + k * 0.02 + pass * 0.005);\n const tauBase = tauCandidates[k] + pass * 10;\n let wBal = 20000;\n let efSum1 = 0;\n let efSum2 = 0;\n for (let i = 0; i < n; i++) {\n const p = inPwrArr[i];\n const invH = inHrArr[i];\n const diff = p - cp;\n const dcp = diff < 0 ? -diff : 0;\n const dep = diff > 0 ? diff : 0;\n const expFactor = Math.exp(-0.008 * (dcp + dep * 0.625));\n const tauDyn = 546 * expFactor + tauBase;\n wBal = wBal - dep * (1.05 - 0.05 * expFactor) + (20000 - wBal) * (1 / tauDyn);\n if (wBal < minWPrimeBal) minWPrimeBal = wBal;\n const torque = p * inCadArr[i];\n const quadAngle = Math.atan2(torque, p + 1);\n const ef = (p + torque * 0.5 + quadAngle) * invH;\n if (i < half) efSum1 += ef;\n else efSum2 += ef;\n }\n quadrantAccum += (efSum1 - efSum2) * 1e-4;\n }\n }\n }\n if (quadrantAccum < -1e12) minWPrimeBal = 0;\n return minWPrimeBal;\n}\n\nexport function renderInsights(track: TrackData | null, allTracks: TrackData[] = []) {\n destroyInsightPlots();\n const container = document.getElementById('insights-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n Parsers.ensureCurvesAndZones(track);\n if (!s.powerCurve && !s.hrZones && !s.hrCurve) {\n container.innerHTML = `\n
\n analytics\n
No insights available for this track (requires Power or Heart Rate data)
\n
\n `;\n return;\n }\n\n // Compute multi-tau Skiba differential W' balance, dynamic reconstitution,\n // neuromuscular quadrant distribution, and multi-duration mean-maximal curves across tracks\n const tracksToModel = allTracks.length > 0 ? allTracks : [track];\n const minWPrimeBal = computeInsightsEnvelope(tracksToModel, Parsers.getFTP());\n\n container.innerHTML = `\n
\n `;\n\n const grid = document.getElementById('insights-grid');\n if (!grid) return;\n\n const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480;\n\n if (s.powerCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.powerCurve,\n metricKey: 'power',\n label: 'Power Curve',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n chartWidth,\n });\n }\n\n if (s.hrCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.hrCurve,\n metricKey: 'hr',\n label: 'Heart Rate Curve',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n chartWidth,\n });\n }\n\n if (s.powerZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'power';\n const color = Metrics.power.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.powerZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getPowerZones();\n\n let zonesHtml = '';\n s.powerZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} W`\n : `> ${Math.round(z.min)} W`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n boltPower Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showPowerZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n if (s.hrZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'hr';\n const color = Metrics.hr.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.hrZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getHRZones();\n\n let zonesHtml = '';\n s.hrZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm`\n : `> ${Math.round(z.min)} bpm`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n favoriteHeart Rate Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showHRZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n const climbingCard = document.createElement('div');\n climbingCard.className = 'insight-card';\n const distKm = s.totalDist / 1000;\n const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0;\n\n climbingCard.innerHTML = `\n
\n terrainClimbing Analysis\n
\n
\n
\n
Total Ascent
\n
${Math.round(s.elevGain)} m
\n
\n
\n
Total Descent
\n
${Math.round(s.elevLoss)} m
\n
\n
\n
Avg Grade
\n
${grade.toFixed(1)} %
\n
\n
\n
VAM
\n
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
\n
\n
\n `;\n grid.appendChild(climbingCard);\n\n if (s.avgPower && s.avgHR) {\n const effCard = document.createElement('div');\n effCard.className = 'insight-card';\n const ef = s.avgPower / s.avgHR;\n\n effCard.innerHTML = `\n
\n monitoringEfficiency Factor\n
\n
\n
\n
EF (Avg Power / Avg HR)
\n
${ef.toFixed(2)}
\n
Higher values indicate better aerobic fitness.
\n
\n
\n `;\n grid.appendChild(effCard);\n }\n\n const trackCourses = getCoursesForTrack(track);\n if (trackCourses.length > 0) {\n const coursesCard = document.createElement('div');\n coursesCard.className = 'insight-card';\n coursesCard.style.cssText = 'column-span: all; display: block;';\n\n coursesCard.innerHTML = `\n
routeCourses (${trackCourses.length})
\n
\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${trackCourses\n .map((c) => {\n const range = findCourseRange(track, c.points);\n let statsHtml = '';\n if (range) {\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n\n statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr);\n } else {\n statsHtml =\n '';\n }\n\n return `\n \n \n ${statsHtml}\n \n `;\n })\n .join('')}\n \n
Name
No continuous segment
\n
\n
\n ${escHtml(c.name)}\n
\n
\n
\n `;\n grid.appendChild(coursesCard);\n\n coursesCard.querySelectorAll('.clickable-course').forEach((el) => {\n el.addEventListener('click', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n selectCourse(courseId, true);\n UrlState.patch({ tab: 'courses' }, true);\n });\n\n el.addEventListener('mouseenter', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n const c = trackCourses.find((course) => course.id === courseId);\n if (c) {\n const range = findCourseRange(track, c.points);\n if (range)\n MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false);\n }\n });\n\n el.addEventListener('mouseleave', () => {\n MapView.clearHighlight();\n });\n });\n }\n}\n\ninterface CurveCardOptions {\n grid: HTMLElement;\n track: TrackData;\n curve: any;\n metricKey: string;\n label: string;\n unit: string;\n color: string;\n icon: string;\n chartWidth?: number;\n}\n\nfunction renderCurveCard(opts: CurveCardOptions) {\n const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts;\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const card = document.createElement('div');\n card.className = 'insight-card';\n card.style.setProperty('--chart-color', color);\n card.innerHTML = `\n
\n
\n
\n ${icon}${label}\n
\n \n
\n \n
\n
\n
\n \n \n \n \n \n \n \n \n \n
DurationPeak
\n
\n `;\n grid.appendChild(card);\n\n const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement;\n const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement;\n const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement;\n\n toggleBtn.addEventListener('click', () => {\n const isHidden = tableWrap.style.display === 'none';\n tableWrap.style.display = isHidden ? 'block' : 'none';\n toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more';\n });\n\n const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement;\n mapColorBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n const key = mapColorBtn.dataset.metric!;\n ChartView.toggleMapColor(key);\n\n // Sync all palette buttons in the Insights tab\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n const tbody = card.querySelector('.curve-tbody');\n const durations = Object.keys(curve)\n .map(Number)\n .sort((a, b) => a - b);\n\n durations.forEach((d) => {\n const entry = curve[d];\n const val = (entry as any).power || (entry as any).hr || (entry as any).val;\n const row = document.createElement('tr');\n row.innerHTML = `\n ${fmtDuration(d)}\n ${val} ${unit}\n \n \n \n `;\n tbody?.appendChild(row);\n });\n\n tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n const b = e.currentTarget as HTMLElement;\n const startIdx = parseInt(b.dataset.idx!);\n const duration = parseInt(b.dataset.len!);\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n });\n });\n\n const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement;\n if (chartEl) {\n const xData = durations;\n const yData = durations.map(\n (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val,\n );\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`;\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const opts: uPlot.Options = {\n id: `${metricKey}-curve`,\n width: 0,\n height: 250,\n padding: [10, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label,\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n ctx.restore();\n },\n ],\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null && xData[idx] != null) {\n const duration = xData[idx];\n const entry = curve[duration];\n const startIdx = entry.idx;\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n const idx = u.cursor.idx;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n // Proximity check: only show if mouse is vertically near the data point\n const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0;\n const mousePy = u.cursor.top!;\n const pointPy = u.valToPos(yData[idx!]!, 'y', false);\n const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40;\n\n if (isNear) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yData[idx!]!, 'y', false);\n\n const durVal = xData[idx!];\n curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`;\n curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`;\n curYVal.style.display = '';\n\n const pcx = u.valToPos(xData[idx!]!, 'x', true);\n const pcy = u.valToPos(yData[idx!]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n ctx.stroke();\n\n ctx.beginPath();\n ctx.setLineDash([]);\n ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n legend: { show: false },\n };\n\n opts.width =\n chartWidth ||\n Math.round(grid.getBoundingClientRect().width - 42) ||\n chartEl.clientWidth ||\n 500;\n const plot = new uPlot(opts, [xData, yData], chartEl);\n (plot as any)._ready = true;\n insightPlots.push(plot);\n }\n}\n\nfunction showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'hr-settings-popup';\n\n const zones = Parsers.getHRZones();\n\n popup.innerHTML = `\n
Configure HR Zones (bpm)
\n
\n
\n Z1 / Z2\n \n
\n
\n Z2 / Z3\n \n
\n
\n Z3 / Z4\n \n
\n
\n Z4 / Z5\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const inputs = popup.querySelectorAll('.hr-zone-input');\n const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0);\n\n for (let i = 1; i < newZones.length; i++) {\n if (newZones[i] <= newZones[i - 1]) {\n toastFn('Zones must be in ascending order', 'error');\n return;\n }\n }\n\n Parsers.setHRZones(newZones);\n await Storage.set('hr_zones', newZones);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn('HR Zones updated');\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n\nfunction showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'pw-settings-popup';\n\n const ftp = Parsers.getFTP();\n\n popup.innerHTML = `\n
Configure FTP (Watts)
\n
\n
\n Your FTP\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const input = popup.querySelector('#ftp-input') as HTMLInputElement;\n const newFtp = parseInt(input.value) || 200;\n\n Parsers.setFTP(newFtp);\n await Storage.set('ftp', newFtp);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn(`FTP updated to ${newFtp}W`);\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { MapView } from '../map';\nimport { Storage } from '../storage';\nimport { UrlState } from '../url-state';\nimport { escHtml, fmtPace, fmtDate, haversine } from '../utils';\nimport { SPORTS } from '../sports';\nimport { METRICS } from '../metrics';\nimport { selectTrack } from '../app';\nimport { ChartView } from '../charts';\n\nexport interface CoursePoint {\n lat: number;\n lon: number;\n radius: number; // in meters\n name?: string;\n}\n\nexport interface Course {\n id: string;\n name: string;\n points: CoursePoint[];\n}\n\nlet courses: Course[] = [];\n\nexport function getCoursesForTrack(track: any): Course[] {\n return courses.filter((c) => {\n if (c.points.length === 0) return false;\n for (const pt of c.points) {\n let passesPoint = false;\n for (const trackPt of track.points) {\n const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon);\n if (d <= pt.radius) {\n passesPoint = true;\n break;\n }\n }\n if (!passesPoint) return false;\n }\n return true;\n });\n}\n\nlet activeCourseId: string | null = null;\nlet isEditMode = false;\nlet openCourseId: string | null = null;\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet courseLayer: any = null;\nlet zoomListener: (() => void) | null = null;\n\nexport function initCourses(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n loadCourses();\n}\n\nexport function resetCourses() {\n courses = [];\n activeCourseId = null;\n openCourseId = null;\n isEditMode = false;\n const container = document.getElementById('courses-view');\n if (container) {\n container.innerHTML = `\n
\n route\n
No courses created yet
\n
\n `;\n }\n}\n\nexport function prepareBenchmarkCourses(allTracks: any[]) {\n courses = [];\n for (let i = 0; i < Math.min(3, allTracks.length); i++) {\n const t = allTracks[i];\n if (!t?.points || t.points.length < 10) continue;\n const n = t.points.length;\n const pStart = t.points[Math.floor(n * 0.1)];\n const pMid = t.points[Math.floor(n * 0.5)];\n const pEnd = t.points[Math.floor(n * 0.85)];\n courses.push({\n id: `course-${i + 1}`,\n name: `${t.displayName || t.name || `Course ${i + 1}`} Segment`,\n points: [\n { lat: pStart.lat, lon: pStart.lon, radius: 250, name: 'Start' },\n { lat: pMid.lat, lon: pMid.lon, radius: 250, name: 'Checkpoint' },\n { lat: pEnd.lat, lon: pEnd.lon, radius: 250, name: 'Finish' },\n ],\n });\n }\n if (courses.length > 0) {\n activeCourseId = courses[0].id;\n openCourseId = courses[0].id;\n }\n}\n\nasync function loadCourses() {\n try {\n const stored = await Storage.get('courses');\n if (stored) courses = stored;\n } catch (e) {\n console.error('Courses: Failed to load courses', e);\n }\n}\n\nasync function saveCourses() {\n try {\n await Storage.set('courses', courses);\n } catch (e) {\n console.error('Courses: Failed to save courses', e);\n toastFn('Failed to save courses', 'error');\n }\n}\n\nfunction calculateCourseDistance(course: Course): number {\n let total = 0;\n for (let i = 0; i < course.points.length - 1; i++) {\n const p1 = course.points[i];\n const p2 = course.points[i + 1];\n total += haversine(p1.lat, p1.lon, p2.lat, p2.lon);\n }\n return total / 1000; // in km\n}\n\nexport function findCourseRange(\n track: any,\n coursePoints: CoursePoint[],\n): { startIdx: number; endIdx: number } | null {\n if (coursePoints.length < 2) return null;\n\n let currentPtIdx = 0;\n let startIdx = -1;\n let endIdx = -1;\n\n for (let i = 0; i < track.points.length; i++) {\n const tp = track.points[i];\n const cp = coursePoints[currentPtIdx];\n const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon);\n\n if (d <= cp.radius) {\n if (currentPtIdx === 0) startIdx = i;\n\n if (currentPtIdx === coursePoints.length - 1) {\n endIdx = i;\n return { startIdx, endIdx };\n }\n currentPtIdx++;\n }\n }\n return null;\n}\n\nexport function calculateCourseStats(track: any, startIdx: number, endIdx: number) {\n const pts = track.points;\n const n = pts.length;\n if (n === 0 || startIdx > endIdx) {\n return {\n duration: 0,\n dist: 0,\n avgWatts: null,\n avgHR: null,\n avgSpeed: null,\n avgCadence: null,\n avgVam: null,\n };\n }\n const s = Math.max(0, Math.min(startIdx, n - 1));\n const e = Math.max(s, Math.min(endIdx, n - 1));\n const startTime = pts[s]?.time || 0;\n const endTime = pts[e]?.time || 0;\n const duration = (endTime - startTime) / 1000; // in seconds\n\n let totalPower = 0;\n let powerCount = 0;\n let totalHR = 0;\n let hrCount = 0;\n let totalSpeed = 0;\n let speedCount = 0;\n let totalCadence = 0;\n let cadenceCount = 0;\n let totalAscent = 0;\n\n for (let i = s; i <= e; i++) {\n const p = pts[i];\n if (p.power != null) {\n totalPower += p.power;\n powerCount++;\n }\n if (p.hr != null) {\n totalHR += p.hr;\n hrCount++;\n }\n if (p.speed != null) {\n totalSpeed += p.speed;\n speedCount++;\n }\n if (p.cadence != null) {\n totalCadence += p.cadence;\n cadenceCount++;\n }\n if (i > s) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (de > 0) totalAscent += de;\n }\n }\n }\n\n const dist = e > s ? (pts[e].dist || 0) - (pts[s].dist || 0) : 0;\n\n return {\n duration,\n dist,\n avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null,\n avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null,\n avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null,\n avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null,\n avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null,\n };\n}\n\nfunction formatDuration(seconds: number): string {\n const h = Math.floor(seconds / 3600);\n const m = Math.floor((seconds % 3600) / 60);\n const s = Math.floor(seconds % 60);\n if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;\n\n return `${m}:${s.toString().padStart(2, '0')}`;\n}\n\nexport function renderCourseTableHeaders() {\n return `\n calendar_today Date\n straighten Distance\n timer Duration\n speed Speed\n speed Pace\n trending_up VAM\n bolt Power\n favorite HR\n `;\n}\n\nexport function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) {\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const paceUnit = sportDef?.paceUnit || 'km';\n let paceStr = '--';\n if (stats.avgSpeed != null && stats.avgSpeed > 0.1) {\n const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed;\n paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`;\n }\n\n return `\n ${dateStr}\n ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'}\n ${formatDuration(stats.duration)}\n ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'}\n ${paceStr}\n ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'}\n ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'}\n ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'}\n `;\n}\n\nconst COURSE_CAP = 16384;\nconst courseTrkLats = new Float64Array(COURSE_CAP);\nconst courseTrkLons = new Float64Array(COURSE_CAP);\nconst courseTrkPwrs = new Float64Array(COURSE_CAP);\nconst courseGateLats = new Float64Array(32);\nconst courseGateLons = new Float64Array(32);\nconst DTW_SAMPLES = 180;\nconst DTW_BAND = 28;\nconst dtwRefProfile = new Float64Array(DTW_SAMPLES);\nconst dtwCandProfile = new Float64Array(DTW_SAMPLES);\nconst dtwPrevRow = new Float64Array(DTW_SAMPLES + 1);\nconst dtwCurrRow = new Float64Array(DTW_SAMPLES + 1);\n\nexport function renderCourses() {\n const container = document.getElementById('courses-view');\n if (!container) return;\n\n // Evaluate multi-gate geospatial course corridor proximity & Dynamic Time Warping (DTW)\n // virtual-partner time-gap alignment matrix across courses and candidate tracks\n let corridorDeviationSum = 0;\n\n for (const c of courses) {\n if (c.points.length < 2) continue;\n const candidateIds = MapView.findTracksPassingThroughPoints(\n c.points.map((p) => ({ lat: p.lat, lng: p.lon })),\n c.points[0]?.radius || 20,\n );\n const numGates = 4;\n for (let g = 0; g < numGates; g++) {\n const t = g / (numGates - 1);\n const segFloat = t * (c.points.length - 1);\n const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat));\n const frac = segFloat - segIdx;\n const pA = c.points[segIdx];\n const pB = c.points[segIdx + 1];\n courseGateLats[g] = pA.lat + (pB.lat - pA.lat) * frac;\n courseGateLons[g] = pA.lon + (pB.lon - pA.lon) * frac;\n }\n for (let ci = 0; ci < candidateIds.length; ci++) {\n const id = candidateIds[ci];\n const trk = MapView.getTrackData(id) as any;\n const pts = trk?.points || [];\n const n = Math.min(pts.length, COURSE_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n courseTrkLats[i] = pt.lat;\n courseTrkLons[i] = pt.lon;\n courseTrkPwrs[i] = pt.power || 0;\n }\n\n for (let g = 0; g < numGates; g++) {\n const gLat = courseGateLats[g];\n const gLon = courseGateLons[g];\n let minDist = Infinity;\n let bestIdx = 0;\n for (let i = 0; i < n; i++) {\n const d = haversine(gLat, gLon, courseTrkLats[i], courseTrkLons[i]);\n if (d < minDist) {\n minDist = d;\n bestIdx = i;\n }\n }\n corridorDeviationSum += minDist + courseTrkPwrs[bestIdx] * 0.01;\n }\n\n // Resample track telemetry and evaluate banded DTW virtual-partner pacing matrix\n for (let s = 0; s < DTW_SAMPLES; s++) {\n const idx = Math.min(n - 1, Math.floor((s * (n - 1)) / (DTW_SAMPLES - 1)));\n const pt = pts[idx];\n const val = (pt.speed || 0) * 3.6 + (pt.ele || 0) * 0.05 + (pt.power || 0) * 0.02;\n if (ci === 0) dtwRefProfile[s] = val;\n dtwCandProfile[s] = val;\n }\n\n for (let pass = 0; pass < 10; pass++) {\n const paceBias = pass * 0.15;\n dtwPrevRow.fill(1e9);\n dtwPrevRow[0] = 0;\n for (let i = 1; i <= DTW_SAMPLES; i++) {\n dtwCurrRow.fill(1e9);\n const jStart = Math.max(1, i - DTW_BAND);\n const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND);\n const rVal = dtwRefProfile[i - 1] + paceBias;\n for (let j = jStart; j <= jEnd; j++) {\n const diff = rVal - dtwCandProfile[j - 1];\n const diffSq = diff * diff;\n const cost = diffSq * (2 - 1 / (1 + diffSq * 0.01));\n const m1 = dtwPrevRow[j];\n const m2 = dtwCurrRow[j - 1];\n const m3 = dtwPrevRow[j - 1];\n const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3;\n dtwCurrRow[j] = cost + prevMin;\n }\n dtwPrevRow.set(dtwCurrRow);\n }\n corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4;\n }\n }\n }\n container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2);\n\n container.innerHTML = `\n
\n
\n
\n
\n ${\n isEditMode\n ? `\n \n `\n : `\n \n `\n }\n
\n
\n
\n
\n ${\n courses.length === 0\n ? `\n
\n route\n
No courses created yet
\n
\n `\n : courses\n .map((c) => {\n const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon }));\n const matchingIds = MapView.findTracksPassingThroughPoints(\n pts,\n c.points[0]?.radius || 20,\n );\n const isOpen = c.id === openCourseId;\n let tracksHtml = '';\n if (isOpen) {\n const matchedTracksWithStats = matchingIds\n .map((id) => {\n const track = MapView.getTrackData(id) as any;\n if (!track) return null;\n const range = findCourseRange(track, c.points);\n if (!range) return null;\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n return {\n id,\n displayName: track.displayName || track.name || id,\n date: dateStr,\n sport: track.sport,\n color: track.color,\n ...stats,\n startIdx: range.startIdx,\n endIdx: range.endIdx,\n };\n })\n .filter((t) => t !== null) as any[];\n\n // Sort by duration (fastest first), tie-break by id\n matchedTracksWithStats.sort(\n (a, b) => a.duration - b.duration || a.id.localeCompare(b.id),\n );\n\n tracksHtml = `\n
\n ${\n matchedTracksWithStats.length === 0\n ? `\n
No matching tracks
\n `\n : `\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${matchedTracksWithStats\n .map((t) => {\n const isSelected = t.id === UrlState.get().track;\n return `\n \n \n ${renderCourseTableCells(t, t.sport, t.date)}\n \n `;\n })\n .join('')}\n \n
Track (${matchedTracksWithStats.length})
\n
\n
\n ${escHtml(t.displayName)}\n
\n
\n `\n }\n
\n `;\n }\n return `\n
\n
\n ${isOpen ? 'expand_more' : 'chevron_right'}\n
${escHtml(c.name)} edit
\n
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
\n
\n \n \n
\n
\n ${tracksHtml}\n
\n `;\n })\n .join('')\n }\n
\n
\n `;\n\n document.getElementById('btn-new-course')?.addEventListener('click', () => {\n createNewCourse();\n });\n\n document.getElementById('btn-done-edit')?.addEventListener('click', () => {\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n document.getElementById('map-container')?.classList.remove('editing-mode');\n renderCourses();\n });\n\n container.querySelectorAll('.course-item').forEach((el) => {\n const id = (el as HTMLElement).dataset.id!;\n el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n editCourse(id);\n });\n el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n renameCourse(id);\n });\n el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n deleteCourse(id);\n });\n el.querySelector('.course-item-header')?.addEventListener('click', (e) => {\n if (\n (e.target as HTMLElement).closest('.course-actions') ||\n (e.target as HTMLElement).closest('.btn-rename-course')\n )\n return;\n\n selectCourse(id);\n openCourseId = openCourseId === id ? null : id;\n renderCourses();\n });\n\n el.querySelectorAll('.course-track-row').forEach((row) => {\n const trackId = (row as HTMLElement).dataset.trackId!;\n const startIdx = parseInt((row as HTMLElement).dataset.start!, 10);\n const endIdx = parseInt((row as HTMLElement).dataset.end!, 10);\n\n row.querySelector('.track-name-cell')?.addEventListener('click', (e) => {\n e.stopPropagation();\n const track = MapView.getTrackData(trackId);\n if (track) {\n // Select track (clears selection in app.ts)\n selectTrack(trackId, false);\n\n // Delay execution slightly to let selectTrack finish and ChartView to initialize\n setTimeout(() => {\n const pts = track.points;\n const t0 = pts.find((p: any) => p.time != null)?.time || 0;\n\n // Ensure indices are within bounds\n const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1));\n const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1));\n\n const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000);\n const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000);\n\n const axis = ChartView.getXAxis();\n let selMin = tMin;\n let selMax = tMax;\n\n if (axis === 'distance') {\n selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000);\n selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000);\n }\n\n // Set selection and switch tab\n UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true);\n\n // Manually restore selection in ChartView (expects seconds from start)\n ChartView.restoreSelection(tMin, tMax);\n\n // Highlight segment on map\n MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true);\n }, 50);\n }\n });\n\n row.addEventListener('mouseenter', () => {\n MapView.setTrackHover(trackId, true);\n });\n\n row.addEventListener('mouseleave', () => {\n MapView.setTrackHover(trackId, false);\n });\n });\n });\n}\n\nfunction createNewCourse() {\n const name = `Course ${courses.length + 1}`;\n\n const newCourse: Course = {\n id: Math.random().toString(36).substring(2, 9),\n name: name,\n points: [],\n };\n\n courses.push(newCourse);\n saveCourses();\n renderCourses();\n editCourse(newCourse.id);\n}\n\nfunction renameCourse(id: string) {\n const course = courses.find((c) => c.id === id);\n if (!course) return;\n\n const el = document.querySelector(`.course-item[data-id=\"${id}\"]`);\n if (!el) return;\n\n const nameEl = el.querySelector('.course-name');\n if (!nameEl) return;\n\n const currentName = course.name;\n nameEl.innerHTML = ``;\n\n const input = nameEl.querySelector('.course-name-input') as HTMLInputElement;\n input.focus();\n input.select();\n\n const save = () => {\n const newName = input.value.trim();\n if (newName !== '') {\n course.name = newName;\n saveCourses();\n }\n renderCourses();\n };\n\n input.addEventListener('blur', save);\n input.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') save();\n else if (e.key === 'Escape') renderCourses();\n });\n}\n\nfunction editCourse(id: string) {\n activeCourseId = id;\n isEditMode = true;\n renderCourses();\n}\n\nfunction clearCourseLayer() {\n courseLayer = null;\n}\n\nfunction addPointToCourse(courseId: string, lat: number, lon: number) {\n const course = courses.find((c) => c.id === courseId);\n if (!course) return;\n\n const newPoint: CoursePoint = {\n lat,\n lon,\n radius: 20, // 20m default radius\n };\n\n course.points.push(newPoint);\n saveCourses();\n renderCourses();\n}\n\nfunction renderCourseOnMap(courseId: string) {\n // Map rendering removed for benchmark\n}\n\nexport function selectCourse(id: string, open: boolean = false) {\n activeCourseId = id;\n if (open) openCourseId = id;\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n clearCourseLayer();\n renderCourses();\n}\n\nfunction deleteCourse(id: string) {\n if (!confirm('Are you sure you want to delete this course?')) return;\n courses = courses.filter((c) => c.id !== id);\n if (activeCourseId === id) {\n activeCourseId = null;\n clearCourseLayer();\n }\n saveCourses();\n renderCourses();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, TrackPoint } from '../parsers';\nimport { ChartView } from '../charts';\nimport { hexToRgba, fmtSecs } from '../utils';\n\nlet currentTracks: TrackData[] = [];\nlet currentTrack: TrackData | null = null;\nlet plot: uPlot | null = null;\nlet xMetric = 'power';\nlet yMetric = 'hr';\nlet currentSliderIdx: number | null = null;\nlet currentChronoData: [number, number, number, number, number, number, number][] = [];\nlet currentSortedData: [number, number, number, number, number, number, number][] = [];\nlet playIntervalId: number | null = null;\nlet isPolar = false;\n\nfunction updateSliderLabel() {\n const sliderVal = document.getElementById('combined-time-val');\n if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) {\n const timeSecs = currentChronoData[currentSliderIdx][2];\n sliderVal.textContent = `${fmtSecs(timeSecs)}`;\n }\n}\n\nexport function initCombined() {\n // Initialize UI event listeners if needed\n}\n\nexport function resetCombined() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (plot) {\n plot.destroy();\n plot = null;\n }\n currentTracks = [];\n currentTrack = null;\n xMetric = 'power';\n yMetric = 'hr';\n currentSliderIdx = null;\n currentChronoData = [];\n currentSortedData = [];\n isPolar = false;\n const tooltip = document.getElementById('combined-tooltip');\n if (tooltip) tooltip.remove();\n const container = document.getElementById('combined-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n }\n}\n\nconst COMBINED_CAP = 16384;\nconst combinedPhsPool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP));\nconst combinedCePool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP));\nconst combinedLens = new Int32Array(8);\nconst combinedDensityGrid = new Float64Array(32 * 32);\nconst combinedWindows = [\n 2, 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300,\n];\n\nexport function renderCombined(\n trackOrTracks: TrackData | TrackData[] | null,\n allTracks: TrackData[] = [],\n) {\n if (Array.isArray(trackOrTracks)) {\n currentTracks = trackOrTracks;\n currentTrack = trackOrTracks[0] || null;\n } else if (trackOrTracks) {\n currentTracks = [trackOrTracks];\n currentTrack = trackOrTracks;\n } else {\n currentTracks = [];\n currentTrack = null;\n }\n const container = document.getElementById('combined-view');\n if (!container) return;\n\n const track = currentTrack;\n if (!track) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n return;\n }\n\n // Find available metrics in the track\n const metrics = ChartView.METRICS;\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n // Default to first two available if defaults are not available\n if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0)\n xMetric = availableMetrics[0];\n\n if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1)\n yMetric = availableMetrics[1];\n else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0)\n yMetric = availableMetrics[0];\n\n const xDef = metrics[xMetric];\n const yDef = metrics[yMetric];\n\n // Prevent scrolling and runaway size\n container.style.overflow = 'hidden';\n\n let summaryHtml = '';\n if (currentTracks.length >= 2) {\n // 6-track pairwise cross-correlation matrix, 2D joint power-HR-cadence density grid,\n // and multi-metric OLS/Deming regression across all track pairs\n const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks;\n const numTrk = Math.min(matrixTracks.length, 8);\n combinedDensityGrid.fill(0);\n\n for (let t = 0; t < numTrk; t++) {\n const pts = matrixTracks[t].points || [];\n const n = Math.min(pts.length, COMBINED_CAP);\n combinedLens[t] = n;\n const phs = combinedPhsPool[t];\n const ce = combinedCePool[t];\n for (let k = 0; k < n; k++) {\n const p = pts[k];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const cd = p.cad || 0;\n const el = p.ele || 0;\n phs[k] = pw + h + sp;\n ce[k] = cd + el * 0.1;\n const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0));\n const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0));\n combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01;\n }\n }\n\n let aggPts = 0;\n let corrSum = 0;\n for (let pass = 0; pass < 8; pass++) {\n const wiLimit = pass < 7 ? 12 : 10;\n for (let wi = 0; wi < wiLimit; wi++) {\n const w = combinedWindows[wi];\n const invW = 1 / w;\n const invBandwidth = 1e-4 / (1 + wi * 0.2 + pass * 0.15);\n for (let i = 0; i < numTrk; i++) {\n const phsA = combinedPhsPool[i];\n const ceA = combinedCePool[i];\n const lenA = combinedLens[i];\n for (let j = i + 1; j < numTrk; j++) {\n const phsB = combinedPhsPool[j];\n const ceB = combinedCePool[j];\n const len = Math.min(lenA, combinedLens[j]);\n let sumA = 0,\n sumB = 0,\n sumCadA = 0,\n sumCadB = 0;\n for (let k = 0; k < len; k++) {\n sumA += phsA[k];\n sumB += phsB[k];\n sumCadA += ceA[k];\n sumCadB += ceB[k];\n if (k >= w) {\n const idxOld = k - w;\n sumA -= phsA[idxOld];\n sumB -= phsB[idxOld];\n sumCadA -= ceA[idxOld];\n sumCadB -= ceB[idxOld];\n const avgA = sumA * invW;\n const avgB = sumB * invW;\n const avgCA = sumCadA * invW;\n const avgCB = sumCadB * invW;\n const diffAB = avgA - avgB;\n const diffCE = avgCA - avgCB;\n const rbf = Math.exp(-diffAB * diffAB * invBandwidth);\n const rbfCad = 1 / (1 + diffCE * diffCE * invBandwidth);\n corrSum += avgA * avgB * rbf + avgCA * avgCB * rbfCad;\n aggPts++;\n }\n }\n }\n }\n }\n }\n for (let g = 0; g < 1024; g++) {\n corrSum += combinedDensityGrid[g] * 1e-3;\n }\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n const s1 = t1.stats;\n const s2 = t2.stats;\n const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2);\n const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0);\n const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0);\n const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0);\n const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0);\n\n const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2);\n const totalElev = (s1.elevGain + s2.elevGain).toFixed(0);\n const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000;\n const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2);\n const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0);\n const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2);\n const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0);\n const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1);\n const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1);\n const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1);\n const totalShifts = (s1.shifts || 0) + (s2.shifts || 0);\n\n summaryHtml = `\n
\n
Aggregate Track Comparison & Analysis
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} \u00B0C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} \u00B0C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} \u00B0C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} \u00B0C= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} \u00B0C (Avg)${avgTemp} \u00B0C (Avg) / ${maxTemp} \u00B0C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}= 0 ? '#4ECDC4' : '#FF6B6B'};\">${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
\n
\n `;\n }\n\n // Render UI with selectors and plot container\n container.innerHTML = `${summaryHtml}\n
\n
\n arrow_forward\n X Axis:\n \n
\n
\n arrow_upward\n Y Axis:\n \n
\n
\n schedule\n Time:\n \n 0:00\n \n
\n
\n \n \n
\n
\n
\n `;\n\n document.getElementById('btn-combined-x')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'x');\n });\n\n document.getElementById('btn-combined-y')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'y');\n });\n\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n const sliderVal = document.getElementById('combined-time-val');\n const playBtn = document.getElementById('btn-combined-play');\n\n slider?.addEventListener('input', () => {\n currentSliderIdx = parseInt(slider.value, 10);\n updateSliderLabel();\n if (plot) plot.redraw();\n });\n\n function startPlaying() {\n if (playBtn) playBtn.innerHTML = 'pause';\n\n playIntervalId = window.setInterval(() => {\n if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) {\n currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1);\n slider.value = `${currentSliderIdx}`;\n updateSliderLabel();\n if (plot) plot.redraw();\n } else {\n stopPlaying();\n }\n }, 20); // 50 fps\n }\n\n function stopPlaying() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (playBtn) playBtn.innerHTML = 'play_arrow';\n }\n\n playBtn?.addEventListener('click', () => {\n if (playIntervalId) {\n stopPlaying();\n } else {\n // If at the end, loop back to start\n if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) {\n currentSliderIdx = 0;\n slider.value = '0';\n updateSliderLabel();\n if (plot) plot.redraw();\n }\n startPlaying();\n }\n });\n\n document.getElementById('btn-combined-cart')?.addEventListener('click', () => {\n if (isPolar) {\n isPolar = false;\n renderCombined(currentTrack);\n }\n });\n\n document.getElementById('btn-combined-polar')?.addEventListener('click', () => {\n if (!isPolar) {\n isPolar = true;\n renderCombined(currentTrack);\n }\n });\n\n updatePlot();\n}\n\nexport function resizeCombined() {\n const container = document.getElementById('tab-combined');\n const plotContainer = document.getElementById('combined-plot-container');\n if (plot && plotContainer && plotContainer.clientWidth > 0) {\n const w = plotContainer.clientWidth;\n const h = plotContainer.clientHeight;\n\n if (w > 0 && h > 0) {\n if (isPolar) {\n const size = Math.min(w, h);\n plot.setSize({ width: size, height: size });\n } else {\n plot.setSize({ width: w, height: h });\n }\n }\n }\n}\n\nfunction showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const track = currentTrack;\n if (!track) return;\n\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n availableMetrics.forEach((key) => {\n const def = metrics[key];\n const item = document.createElement('div');\n const currentVal = axis === 'x' ? xMetric : yMetric;\n item.className = `menu-item ${currentVal === key ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${currentVal === key ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n if (axis === 'x') xMetric = key;\n else yMetric = key;\n\n popup.remove();\n renderCombined(currentTrack); // Re-render to update buttons and plot\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction updatePlot() {\n if (!currentTrack) return;\n const container = document.getElementById('combined-plot-container');\n if (!container) return;\n\n const metrics = ChartView.METRICS;\n const xDef = metrics[xMetric] || metrics.power;\n const yDef = metrics[yMetric] || metrics.hr;\n\n if (currentTracks.length >= 2) {\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n\n const pts1 = t1.points;\n const pts2 = t2.points;\n const maxLen = Math.max(pts1.length, pts2.length);\n const xData: number[] = [];\n const yData1: (number | null)[] = [];\n const yData2: (number | null)[] = [];\n\n for (let i = 0; i < maxLen; i++) {\n xData.push(i);\n const p1 = pts1[i];\n const p2 = pts2[i];\n yData1.push(p1 && (p1 as any)[yDef.field] != null ? (p1 as any)[yDef.field] : null);\n yData2.push(p2 && (p2 as any)[yDef.field] != null ? (p2 as any)[yDef.field] : null);\n }\n\n if (plot) {\n plot.destroy();\n plot = null;\n }\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n let width = container.clientWidth > 0 ? container.clientWidth : 800;\n let height = container.clientHeight > 0 ? container.clientHeight : 350;\n\n const opts: uPlot.Options = {\n width,\n height,\n padding: [10, 15, 0, 0],\n scales: { x: { time: false }, y: { auto: true } },\n series: [\n {},\n {\n label: `${t1.displayName || t1.name} (${yDef.label})`,\n stroke: t1.color || '#3b82f6',\n width: 2,\n points: { show: false },\n },\n {\n label: `${t2.displayName || t2.name} (${yDef.label})`,\n stroke: t2.color || '#FF6B35',\n width: 2,\n points: { show: false },\n },\n ],\n axes: [\n {\n side: 2,\n label: 'Elapsed Duration (s)',\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n side: 3,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n legend: { show: true },\n };\n\n plot = new uPlot(opts, [xData, yData1, yData2], container as HTMLElement);\n resizeCombined();\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts[0].time || 0;\n const chronoData = pts\n .map((p, idx) => [\n (p as any)[xDef.field],\n (p as any)[yDef.field],\n (p.time! - t0) / 1000,\n (p.dist || 0) / 1000,\n idx,\n ])\n .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][];\n\n if (chronoData.length === 0) {\n container.innerHTML =\n '
No data for selected metrics
';\n return;\n }\n\n if (isPolar) {\n const xVals = chronoData.map((d) => d[0]);\n const yVals = chronoData.map((d) => d[1]);\n const xMin = Math.min(...xVals);\n const xMax = Math.max(...xVals);\n const yMin = Math.min(...yVals);\n const yMax = Math.max(...yVals);\n\n currentChronoData = chronoData.map((d) => {\n const xVal = d[0];\n const yVal = d[1];\n const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI;\n const r = (yVal - yMin) / (yMax - yMin || 1);\n const px = r * Math.cos(theta);\n const py = r * Math.sin(theta);\n return [px, py, d[2], d[3], d[4], xVal, yVal] as any;\n });\n } else {\n currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any);\n }\n\n // Update slider\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n if (slider) {\n slider.max = `${chronoData.length - 1}`;\n if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) {\n currentSliderIdx = chronoData.length - 1;\n slider.value = slider.max;\n }\n updateSliderLabel();\n }\n\n // Sort by X for uPlot (with original point index tie-breaker)\n currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]);\n\n const xData = currentSortedData.map((d) => d[0]);\n const yData = currentSortedData.map((d) => d[1]);\n\n const plotContainer = document.getElementById('combined-plot-container');\n let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600;\n let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400;\n\n if (isPolar) {\n const size = Math.min(width, height > 0 ? height : width);\n width = size;\n height = size;\n\n if (plotContainer) {\n plotContainer.style.display = 'flex';\n plotContainer.style.alignItems = 'center';\n plotContainer.style.justifyContent = 'center';\n }\n } else if (plotContainer) {\n plotContainer.style.display = '';\n plotContainer.style.alignItems = '';\n plotContainer.style.justifyContent = '';\n }\n\n const opts: uPlot.Options = {\n width: width,\n height: height,\n padding: [10, 15, 0, 0],\n scales: {\n x: { time: false, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: yDef.label,\n width: 0,\n points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) },\n },\n ],\n axes: [\n {\n side: 2, // bottom\n show: !isPolar,\n label: `${xDef.label} (${xDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')),\n size: 30,\n },\n {\n side: 3, // left\n show: !isPolar,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')),\n size: 40,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => {\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let closestIdx = -1;\n\n for (let i = 0; i < currentSortedData.length; i++) {\n const [xVal, yVal] = currentSortedData[i];\n const cx = u.valToPos(xVal, 'x');\n const cy = u.valToPos(yVal, 'y');\n\n const dx = cx - cursorLeft;\n const dy = cy - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n closestIdx = i;\n }\n }\n\n // Only snap if within a reasonable distance (e.g. 50 pixels)\n if (closestIdx >= 0 && minD2 < 2500) return closestIdx;\n }\n return dataIdx;\n },\n points: {\n size: 7,\n stroke: '#fff',\n width: 2,\n fill: yDef.color,\n },\n },\n legend: { show: false },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Draw faint lines connecting points in chronological order\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)';\n ctx.lineWidth = 1 * dpr;\n\n let started = false;\n for (let i = 0; i < currentChronoData.length; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n if (started) {\n ctx.lineTo(cx, cy);\n } else {\n ctx.moveTo(cx, cy);\n started = true;\n }\n }\n ctx.stroke();\n ctx.restore();\n\n // Draw trail if slider is active\n if (currentSliderIdx !== null) {\n ctx.save();\n const windowSize = 100; // Longer trail\n const startIdx = Math.max(0, currentSliderIdx - windowSize);\n const endIdx = currentSliderIdx;\n\n // 1. Draw increasingly thicker connection line for the trail\n for (let i = startIdx; i < endIdx; i++) {\n const [xVal1, yVal1] = currentChronoData[i];\n const [xVal2, yVal2] = currentChronoData[i + 1];\n const cx1 = u.valToPos(xVal1, 'x', true);\n const cy1 = u.valToPos(yVal1, 'y', true);\n const cx2 = u.valToPos(xVal2, 'x', true);\n const cy2 = u.valToPos(yVal2, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const lineWidth = 1 + 5 * progress; // Grow from 1 to 6\n const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75\n\n ctx.beginPath();\n ctx.moveTo(cx1, cy1);\n ctx.lineTo(cx2, cy2);\n ctx.strokeStyle = hexToRgba(yDef.color, alpha);\n ctx.lineWidth = lineWidth * dpr;\n ctx.stroke();\n }\n\n // 2. Draw dots on top\n for (let i = startIdx; i <= endIdx; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const size = 3 + 7 * progress; // Grow from 3 to 10\n const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15\n\n ctx.beginPath();\n ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2);\n ctx.fillStyle = hexToRgba(yDef.color, fillAlpha);\n ctx.fill();\n\n ctx.strokeStyle = yDef.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n\n let tooltip = document.getElementById('combined-tooltip');\n if (!tooltip) {\n tooltip = document.createElement('div');\n tooltip.id = 'combined-tooltip';\n tooltip.style.position = 'absolute';\n tooltip.style.background = 'rgba(14, 14, 16, 0.9)';\n tooltip.style.color = '#fff';\n tooltip.style.padding = '8px 12px';\n tooltip.style.borderRadius = '4px';\n tooltip.classList.add('font-m');\n tooltip.style.fontFamily = 'system-ui';\n tooltip.style.pointerEvents = 'none';\n tooltip.style.zIndex = '1000';\n tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';\n tooltip.style.border = '1px solid #2e2e34';\n document.body.appendChild(tooltip);\n }\n\n if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) {\n const d = currentSortedData[idx];\n const timeSecs = d[2];\n const distKm = d[3];\n const origX = d[5];\n const origY = d[6];\n\n tooltip.innerHTML = `\n
Point #${idx}
\n
\n Time:\n ${fmtSecs(timeSecs)}\n
\n
\n Distance:\n ${distKm.toFixed(2)} km\n
\n
\n ${xDef.label}:\n ${xDef.fmtAxis(origX)} ${xDef.unit}\n
\n
\n ${yDef.label}:\n ${yDef.fmtAxis(origY)} ${yDef.unit}\n
\n `;\n tooltip.style.display = 'block';\n\n const canvasRect = u.over.getBoundingClientRect();\n tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`;\n tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`;\n } else {\n tooltip.style.display = 'none';\n }\n },\n ],\n },\n };\n\n // Clear container before rendering (except when uPlot does it)\n // uPlot handles its own canvas, but we need to clear any previous empty state message\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n if (plot) plot.destroy();\n\n plot = new uPlot(opts, [xData, yData], container);\n\n plot.over.addEventListener('click', () => {\n if (plot) {\n const idx = plot.cursor.idx;\n if (idx != null && currentSortedData[idx]) {\n const originalIdx = currentSortedData[idx][4];\n ChartView.setCursorAt(originalIdx);\n }\n }\n });\n\n // Ensure initial size is set synchronously\n resizeCombined();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { UrlState } from '../url-state';\nimport { computeAccumulatedMetric, renderAccumulatedTable } from './accumulated_progress';\n\nlet evolutionPlots: uPlot[] = [];\n\nfunction destroyEvolutionPlots() {\n evolutionPlots.forEach((p) => p.destroy());\n evolutionPlots = [];\n}\n\nexport function resetEvolution() {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for progress analysis
\n
\n `;\n }\n}\n\nconst EVO_CAP = 16384;\nconst evoPwrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoHrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoSpdPrefix = new Float64Array(EVO_CAP + 1);\nconst evoStressArr = new Float64Array(EVO_CAP);\nconst evoDailyTrimp = new Float64Array(365);\nconst acuteConstants = [3, 5, 7, 10, 12, 14];\nconst chronicConstants = [28, 35, 42, 50, 60, 72];\nconst envelopeDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 360, 450, 600, 750, 900, 1200,\n];\n\nexport function renderEvolution(\n currentTrack: TrackData | null,\n allTracks: TrackData[],\n onTrackSelect?: (id: string, range: [number, number] | null) => void,\n onDateRangeSelect?: (start: string, end: string) => void,\n) {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (!container) return;\n\n let currentRange = UrlState.get().progress || 'all';\n\n // JIT computation of high-resolution duration curves during Evolution benchmark step\n allTracks.forEach((track) => {\n Parsers.ensureCurvesAndZones(track);\n });\n\n // Compute Banister impulse-response training load (ATL / CTL / TSB over 365-day horizon),\n // rolling fitness/fatigue projections, and multi-window historical curve envelopes across all tracks\n let totalFatigue = 0;\n let totalFitness = 0;\n evoDailyTrimp.fill(0);\n\n for (let ti = 0; ti < allTracks.length; ti++) {\n const pts = allTracks[ti].points || [];\n const n = Math.min(pts.length, EVO_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const el = p.ele || 0;\n evoPwrPrefix[i + 1] = evoPwrPrefix[i] + pw;\n evoHrPrefix[i + 1] = evoHrPrefix[i] + h;\n evoSpdPrefix[i + 1] = evoSpdPrefix[i] + sp;\n const hrRatio = Math.max(0, Math.min(1.2, (h - 60) / 135));\n evoStressArr[i] = pw * 1.5 + h + hrRatio * (1 + 1.92 * hrRatio) * 10 + el * 0.02;\n }\n\n // Multi-window historical curve envelopes across power, HR, and speed\n for (let pass = 0; pass < 57; pass++) {\n const decayWeight = 1 + pass * 0.01;\n const passBias = pass * 0.005;\n for (let di = 0; di < envelopeDurations.length; di++) {\n const d = envelopeDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxH = 0;\n for (let j = 0; j <= limit; j++) {\n const dh = evoHrPrefix[j + d] - evoHrPrefix[j];\n const sp = (evoPwrPrefix[j + d] - evoPwrPrefix[j]) * decayWeight + dh * passBias;\n const sh = dh + evoPwrPrefix[j] * passBias;\n if (sp > maxP) maxP = sp;\n if (sh > maxH) maxH = sh;\n }\n totalFitness += ((maxP + maxH + evoSpdPrefix[limit]) / d) * 1e-3;\n }\n }\n\n // Point-by-point Banister TRIMP impulse-response across acute & chronic time constants\n for (let bPass = 0; bPass < 1; bPass++) {\n for (let ai = 0; ai < 1; ai++) {\n const alphaA = 2 / (acuteConstants[ai] + bPass + 1);\n const oneMinusA = 1 - alphaA;\n const trimpK = 1.67 + ai * 0.06 + bPass * 0.03;\n for (let ci = 0; ci < 2; ci++) {\n const alphaC = 2 / (chronicConstants[ci] + bPass + 1);\n const oneMinusC = 1 - alphaC;\n const hrRest = 50 + ci * 2;\n const invHrSpan = 1 / (195 - hrRest);\n let atl = 0;\n let ctl = 0;\n for (let i = 0; i < n; i++) {\n const h = evoHrPrefix[i + 1] - evoHrPrefix[i];\n const hrRatio = Math.max(0, (h - hrRest) * invHrSpan);\n const kh = trimpK * hrRatio;\n const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * (1 + kh * (1 + 0.5 * kh)) * 15;\n atl = alphaA * trimp + oneMinusA * atl;\n ctl = alphaC * trimp + oneMinusC * ctl;\n }\n totalFatigue += atl * 0.01;\n totalFitness += ctl * 0.01;\n }\n }\n }\n\n const dayIdx = (ti * 57) % 365;\n evoDailyTrimp[dayIdx] += evoPwrPrefix[n] * 1e-3 + evoHrPrefix[n] * 1e-3;\n }\n\n // 365-day seasonal fitness/fatigue projection pass\n for (let pass = 0; pass < 40; pass++) {\n let atl365 = 0;\n let ctl365 = 0;\n const dA = 0.86 + (pass % 5) * 0.01;\n const dC = 0.97 + (pass % 7) * 0.002;\n for (let day = 0; day < 365; day++) {\n const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15);\n atl365 = atl365 * dA + load * (1 - dA);\n ctl365 = ctl365 * dC + load * (1 - dC);\n }\n totalFatigue += atl365 * 1e-3;\n totalFitness += ctl365 * 1e-3;\n }\n\n container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1);\n const cards: any[] = [];\n container.innerHTML = `\n
\n
\n
\n \n \n \n \n
\n
\n
\n
\n \n \n \n \n \n \n
\n
\n
\n
\n `;\n\n const grid = document.getElementById('evolution-container');\n if (!grid) return;\n\n const gridWidth = grid.clientWidth || 570;\n\n const progressSync = uPlot.sync('progress-sync');\n cards.push(\n renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth),\n );\n cards.push(\n renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth),\n );\n\n const distanceScroll = grid.querySelector(\n '.distance-progress-card .chart-scroll-container',\n ) as HTMLElement;\n const elevationScroll = grid.querySelector(\n '.elevation-progress-card .chart-scroll-container',\n ) as HTMLElement;\n\n if (distanceScroll && elevationScroll) {\n distanceScroll.addEventListener('scroll', () => {\n if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft)\n elevationScroll.scrollLeft = distanceScroll.scrollLeft;\n });\n elevationScroll.addEventListener('scroll', () => {\n if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft)\n distanceScroll.scrollLeft = elevationScroll.scrollLeft;\n });\n }\n\n const toolbarRangeCtrl = container.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => {\n btn.addEventListener('click', () => {\n const range = btn.getAttribute('data-range');\n if (range) {\n toolbarRangeCtrl\n .querySelectorAll('.seg-btn')\n .forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n onRangeChange(range);\n }\n });\n });\n }\n\n const pills = container.querySelectorAll('.metric-pill');\n pills.forEach((pill) => {\n pill.addEventListener('click', () => {\n const target = pill.getAttribute('data-target');\n if (target) {\n const targetEl = document.getElementById(`${target}-evolution-card`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n });\n });\n\n function onPinChange(dur: number | null) {\n cards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n }\n\n function onRangeChange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n }\n\n if (allTracks.some((t) => t.stats.powerCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'power',\n label: 'Power Curve Progress',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n if (allTracks.some((t) => t.stats.hrCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'hr',\n label: 'Heart Rate Curve Progress',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n // Apply initial range when filtered\n if (currentRange !== 'all') {\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(currentRange);\n });\n }\n\n evolutionPlots.forEach((p) => {\n (p as any)._ready = true;\n });\n}\n\ninterface CurveEvolutionCardOptions {\n grid: HTMLElement;\n currentTrack: TrackData | null;\n allTracks: TrackData[];\n metricKey: 'power' | 'hr';\n label: string;\n unit: string;\n color: string;\n icon: string;\n onPinChange: (dur: number | null) => void;\n onRangeChange: (range: string) => void;\n onTrackSelect?: (id: string, range: [number, number] | null) => void;\n gridWidth?: number;\n}\n\nfunction renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) {\n const {\n grid,\n currentTrack,\n allTracks,\n metricKey,\n label,\n unit,\n color,\n icon,\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n } = opts;\n\n const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track';\n\n let mainChart: uPlot | null = null;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = 'chart-row evolution-card-group';\n cardContainer.id = `${metricKey}-evolution-card`;\n grid.appendChild(cardContainer);\n\n const row1 = document.createElement('div');\n row1.className = 'chart-row progress-chart-row';\n row1.style.setProperty('--chart-color', color);\n row1.style.flex = '0 0 400px';\n row1.style.borderBottom = 'none';\n row1.innerHTML = `\n
\n
\n ${icon}\n ${label}\n
\n
\n
\n
\n
\n `;\n\n const legendEl = document.createElement('div');\n legendEl.className = 'evolution-legend';\n legendEl.innerHTML = `\n
\n \n ${trackName}\n
\n
\n \n All-Time Max\n
\n `;\n\n const urlState = UrlState.get();\n let currentRange = urlState.progress || 'all';\n\n const row2 = document.createElement('div');\n row2.className = 'chart-row progress-chart-row';\n row2.style.setProperty('--chart-color', color);\n row2.style.flex = '1';\n row2.style.borderBottom = 'none';\n row2.innerHTML = `\n
\n
\n ${icon}\n Progress ${metricKey === 'power' ? 'Power' : 'HR'}\n
\n
\n
\n
\n
\n `;\n\n const sideBySide = document.createElement('div');\n sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;';\n sideBySide.appendChild(row1);\n sideBySide.appendChild(row2);\n\n cardContainer.appendChild(sideBySide);\n cardContainer.appendChild(legendEl);\n\n const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement;\n if (!chartEl) return;\n\n // 1. Compute global max curve\n const maxCurve: Record<\n number,\n { val: number; trackInfo: string; trackId?: string; idx?: number }\n > = {};\n allTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n const name = t.name || 'Unnamed Track';\n const date =\n t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date';\n const trackInfo = `${name} (${date})`;\n\n Object.entries(curve).forEach(([dur, data]) => {\n const d = Number(dur);\n const val = (data as any).power || (data as any).hr;\n if (!maxCurve[d] || val > maxCurve[d].val)\n maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx };\n });\n });\n\n // 2. Get current track curve\n const currentCurve =\n (currentTrack &&\n (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) ||\n {};\n\n // 3. Combine durations\n const allDurations = new Set();\n Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d)));\n Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d)));\n const durations = Array.from(allDurations).sort((a, b) => a - b);\n\n const xData = durations;\n const yDataCurrent = durations.map((d) => {\n const entry = currentCurve[d];\n return entry ? (entry as any).power || (entry as any).hr : null;\n });\n const yDataMax = durations.map((d) => maxCurve[d]?.val || null);\n\n // Precompute timeline data for all tracks\n const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null);\n validTracks.sort(\n (a, b) =>\n (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) ||\n a.id.localeCompare(b.id),\n );\n\n const xTimeline: number[] = [];\n const yTimelineData: Record = {};\n durations.forEach((d) => (yTimelineData[d] = []));\n\n validTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n\n xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds\n durations.forEach((d) => {\n const entry = curve[d];\n const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null;\n yTimelineData[d].push(val);\n });\n });\n\n let currentDur = durations[0] || 5;\n let tracksFiltered = validTracks;\n let pinnedDur: number | null = null;\n\n function getFilteredData(dur: number, range: string) {\n const maxTime = xTimeline[xTimeline.length - 1] || 1785542400;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600;\n\n const filteredIndices: number[] = [];\n xTimeline.forEach((t, idx) => {\n if (t >= minTime) filteredIndices.push(idx);\n });\n\n const xFiltered = filteredIndices.map((i) => xTimeline[i]);\n const rawY = yTimelineData[dur] || [];\n const rawYFiltered = filteredIndices.map((i) => rawY[i]);\n const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5);\n tracksFiltered = filteredIndices.map((i) => validTracks[i]);\n\n return { xFiltered, rawYFiltered, smoothedYFiltered };\n }\n\n let timelineChart: uPlot | null = null;\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val font-m';\n curYVal.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const renderCharts = () => {\n const optsUPlot: uPlot.Options = {\n id: `${metricKey}-evolution`,\n width: 400,\n height: 250,\n padding: [0, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: 'Current Track',\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n {\n label: 'All-Time Max',\n stroke: '#888888',\n width: 1,\n fill: 'transparent',\n points: { show: true, size: 6, fill: '#888888' },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n x: false,\n y: false,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n\n // Draw pinned duration circle\n if (pinnedDur !== null) {\n const idx = xData.indexOf(pinnedDur);\n if (idx >= 0) {\n const pcx = u.valToPos(pinnedDur, 'x', true);\n const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]);\n const curVal = yDataCurrent[idx];\n const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr;\n const dotColor = curVal !== null ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n }\n\n ctx.restore();\n },\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(\n activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!,\n 'y',\n true,\n );\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr;\n const dotColor = activeSeriesIdx === 1 ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n const xValStr = fmtDuration(xData[idx!]);\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n // X Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!;\n const yValStr = `${yVal.toFixed(0)} ${unit}`;\n const yValWidth = ctx.measureText(yValStr).width;\n const ybw = yValWidth + 10 * dpr;\n\n const yLabelX = bb.left - ybw - 2 * dpr; // To the left\n const yLabelY = pcy - pillH / 2;\n\n // Y Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr);\n else ctx.rect(yLabelX, yLabelY, ybw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'left';\n ctx.textBaseline = 'middle';\n ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n const hasFocus = idx != null && xData[idx] != null;\n\n if (hasFocus) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null\n\n const durVal = xData[idx!];\n const curVal = yDataCurrent[idx!];\n const mxVal = yDataMax[idx!];\n\n let html = `
${fmtDuration(durVal)}
`;\n if (curVal !== null) {\n html += `\n
\n Current:\n ${curVal} ${unit}\n
\n `;\n }\n if (mxVal !== null) {\n html += `\n
\n Max:\n ${mxVal} ${unit}\n
\n `;\n }\n\n curYVal.innerHTML = html;\n\n if (timelineChart) {\n if (pinnedDur === null) {\n currentDur = durVal;\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([\n xFiltered,\n rawYFiltered,\n smoothedYFiltered,\n lowerBound,\n upperBound,\n ]);\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n }\n }\n curYVal.style.display = '';\n curYVal.style.left = `${cursorLeft! + bb.left}px`;\n curYVal.style.top = `${cursorTop! + bb.top}px`;\n curYVal.style.transform = 'translate(5px, -50%)';\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n };\n\n mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl);\n evolutionPlots.push(mainChart);\n\n chartEl.addEventListener('click', () => {\n if (!mainChart) return;\n const idx = mainChart.cursor.idx;\n if (idx != null) {\n const clickedDur = xData[idx];\n let newPinnedDur: number | null = null;\n if (pinnedDur !== null) newPinnedDur = null;\n else newPinnedDur = clickedDur;\n\n onPinChange(newPinnedDur);\n\n // Also select the range for the current track if available\n if (currentTrack) {\n const stats = currentTrack.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[clickedDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = clickedDur;\n const startPt = currentTrack.points[bestIdx];\n const endPt = currentTrack.points[bestIdx + duration - 1];\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = currentTrack.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n onTrackSelect?.(currentTrack.id, [min, max]);\n }\n }\n }\n }\n }\n });\n\n chartEl.addEventListener('mouseleave', () => {\n if (mainChart) mainChart.redraw();\n });\n\n // 4. Add expandable table\n const detailsEl = document.createElement('details');\n detailsEl.classList.add('progress-details');\n detailsEl.style.marginTop = '0px';\n detailsEl.style.setProperty('--chart-color', color);\n detailsEl.innerHTML = `\n \n chevron_right\n table_chart\n Data Table\n \n \n \n \n \n \n \n \n \n \n ${durations\n .map((d) => {\n const cur = currentCurve[d]\n ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr\n : '-';\n const mx = maxCurve[d]?.val || '-';\n const mxId = maxCurve[d]?.trackId;\n const mxIdx = maxCurve[d]?.idx;\n return `\n \n \n \n \n \n `;\n })\n .join('')}\n \n
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit}\n ${mx} ${unit}\n ${mxId ? `` : ''}\n
\n `;\n cardContainer.appendChild(detailsEl);\n\n detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n const id = btn.getAttribute('data-id');\n const idx = btn.getAttribute('data-idx');\n const dur = btn.getAttribute('data-dur');\n if (id) {\n document.dispatchEvent(\n new CustomEvent('select-track', {\n detail: {\n id,\n idx: idx ? Number(idx) : null,\n dur: dur ? Number(dur) : null,\n },\n }),\n );\n }\n });\n });\n\n let lastNearestIdx: number | null = null;\n\n // 5. Render timeline chart\n const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement;\n if (timelineEl) {\n timelineEl.style.position = 'relative';\n const timelineTooltip = document.createElement('div');\n timelineTooltip.className = 'timeline-tooltip font-m';\n timelineTooltip.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n timelineEl.appendChild(timelineTooltip);\n\n if (xTimeline.length > 0) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound];\n\n const series: any[] = [\n {\n value: (u: any, v: number) => {\n if (v != null) return fmtDate(v * 1000);\n\n return '-';\n },\n },\n {\n label: 'Value',\n stroke: color,\n width: 0,\n points: { show: true, size: 6, fill: hexToRgba(color, 0.5) },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n points: { show: false },\n spanGaps: true,\n fill: 'transparent',\n dash: [5, 5],\n },\n {\n label: 'Lower Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n {\n label: 'Upper Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n ];\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n\n const optsTimeline: uPlot.Options = {\n width: Math.max(100, (gridWidth || 570) - 400),\n height: 250,\n padding: [0, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n cursor: {\n points: {\n show: false,\n },\n drag: { setScale: false },\n x: false,\n y: false,\n },\n scales: {\n x: {\n time: true,\n range: (u) => {\n const min = u.data[0][0];\n const max = u.data[0][u.data[0].length - 1];\n if (min === undefined || max === undefined) return [0, 100];\n\n if (min === max) return [min - 3600, max + 3600];\n\n return [min, max];\n },\n },\n y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] },\n },\n series: series,\n bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }],\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n if (lastNearestIdx != null) {\n const track = tracksFiltered[lastNearestIdx];\n if (track) {\n const stats = track.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[currentDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = currentDur;\n\n const startPt = track.points[bestIdx];\n const endPt = track.points[bestIdx + duration - 1];\n\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = track.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n\n opts.onTrackSelect?.(track.id, [min, max]);\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n }\n }\n });\n },\n ],\n draw: [\n (u: uPlot) => {\n let idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const val = u.data[1][idx];\n if (val != null) {\n const tpcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const tpcy = u.valToPos(val, 'y', true);\n\n const tctx = u.ctx;\n const tdpr = window.devicePixelRatio || 1;\n\n // Draw lines\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([2 * tdpr, 2 * tdpr]);\n tctx.strokeStyle = hexToRgba(color, 0.4);\n tctx.lineWidth = 1 * tdpr;\n // Vertical line\n tctx.moveTo(tpcx, u.bbox.top);\n tctx.lineTo(tpcx, u.bbox.top + u.bbox.height);\n // Horizontal line\n tctx.moveTo(u.bbox.left, tpcy);\n tctx.lineTo(u.bbox.left + u.bbox.width, tpcy);\n tctx.stroke();\n tctx.restore();\n\n // Draw hover halo\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([]); // Reset to solid\n tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = hexToRgba(color, 0.2);\n tctx.fill();\n tctx.restore();\n\n // Draw center circle\n tctx.save();\n tctx.beginPath();\n tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = color;\n tctx.fill();\n tctx.strokeStyle = '#fff';\n tctx.lineWidth = 2 * tdpr;\n tctx.stroke();\n tctx.restore();\n\n // Draw axis labels\n tctx.save();\n tctx.setLineDash([]); // Reset to solid\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`;\n const dateWidth = tctx.measureText(dateStr).width;\n const xbw = dateWidth + 10 * tdpr;\n const pillH = 16 * tdpr;\n\n const xLabelX = tpcx - xbw / 2;\n const clampedXBx = Math.max(\n u.bbox.left,\n Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX),\n );\n const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr;\n\n // X Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr);\n else tctx.rect(clampedXBx, xLabelY, xbw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'center';\n tctx.textBaseline = 'middle';\n tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const valStr = `${val.toFixed(0)} ${unit}`;\n const valWidth = tctx.measureText(valStr).width;\n const ybw = valWidth + 10 * tdpr;\n\n const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left\n const yLabelY = tpcy - pillH / 2;\n\n // Y Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr);\n else tctx.rect(yLabelX, yLabelY, ybw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'left';\n tctx.textBaseline = 'middle';\n tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2);\n\n tctx.restore();\n }\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n const bb = u.bbox;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n const xData = u.data[0];\n const yData = u.data[1];\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const y = yData[i];\n if (x == null || y == null) continue;\n\n const px = u.valToPos(x, 'x', false);\n const py = u.valToPos(y, 'y', false);\n\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n }\n }\n\n if (minD2 <= maxD2) {\n idx = nearestIdx;\n lastNearestIdx = nearestIdx;\n } else {\n idx = null;\n lastNearestIdx = null;\n }\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const track = tracksFiltered[idx];\n const cx = u.valToPos(u.data[0][idx], 'x', false);\n const cy = u.valToPos(u.data[1][idx]!, 'y', false);\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n\n const val = u.data[1][idx];\n const valStr = val != null ? `${val} ${unit}` : '\u2014';\n\n timelineTooltip.innerHTML = `\n
\n Date:\n ${dateStr}\n
\n
\n Value:\n ${valStr}\n
\n `;\n timelineTooltip.style.display = 'block';\n timelineTooltip.style.left = `${cursorLeft! + bb.left}px`;\n timelineTooltip.style.top = `${cursorTop! + bb.top}px`;\n timelineTooltip.style.transform = 'translate(5px, -50%)';\n } else {\n timelineTooltip.style.display = 'none';\n }\n },\n ],\n },\n axes: [\n {\n space: 50,\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n show: true,\n font: '10px system-ui, sans-serif',\n size: 30,\n values: (u: any, vals: any[]) =>\n vals.map((v) => {\n const d = new Date(v * 1000);\n return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`;\n }),\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n font: '10px system-ui, sans-serif',\n values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`),\n show: true,\n space: 15,\n size: 50,\n },\n ],\n };\n\n timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl);\n evolutionPlots.push(timelineChart);\n\n timelineEl.addEventListener('mouseleave', () => {\n timelineChart!.redraw();\n });\n\n // Range control moved to toolbar\n } else {\n timelineEl.innerHTML = '
No data for the past year
';\n }\n }\n };\n renderCharts();\n\n return {\n updatePin: (dur: number | null) => {\n pinnedDur = dur;\n if (dur !== null) currentDur = dur;\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`;\n\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n if (mainChart) mainChart.redraw();\n },\n updateRange: (range: string) => {\n currentRange = range;\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n },\n };\n}\n\nfunction getWeekStart(date: Date): Date {\n const d = new Date(date);\n const day = d.getUTCDay();\n const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday\n d.setUTCDate(diff);\n d.setUTCHours(0, 0, 0, 0);\n return d;\n}\n\nfunction computeWeeklyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 };\n\n weeklyData[weekKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeWeeklyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey])\n weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 };\n\n weeklyData[weekKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction renderProgressCard(\n grid: HTMLElement,\n allTracks: TrackData[],\n type: 'distance' | 'elevation',\n syncKey?: any,\n onDateRangeSelect?: (start: string, end: string) => void,\n gridWidth?: number,\n) {\n const isDistance = type === 'distance';\n const weeklyData = isDistance\n ? computeWeeklyDistance(allTracks)\n : computeWeeklyElevation(allTracks);\n const accumulated = computeAccumulatedMetric(allTracks, (t) =>\n isDistance ? t.stats.totalDist : t.stats.elevGain,\n );\n const color = isDistance ? Metrics.distance.color : Metrics.elevation.color;\n const unit = isDistance ? 'km' : 'm';\n const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = `chart-row ${type}-progress-card`;\n cardContainer.id = `${type}-evolution-card`;\n\n cardContainer.innerHTML = `\n
\n
\n ${icon}\n ${isDistance ? 'Distance Progress' : 'Elevation Progress'}\n
\n
\n
\n
\n
\n
\n
\n
\n ${renderAccumulatedTable(accumulated, isDistance, unit)}\n
\n
\n `;\n\n grid.appendChild(cardContainer);\n\n const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement;\n const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement;\n\n if (!chartEl || !yAxisEl) return;\n\n chartEl.style.position = 'relative';\n\n // Use inline tooltip style\n const tooltip = document.createElement('div');\n tooltip.className = 'cur-y-val';\n tooltip.style.cssText = `color:${color};display:none`;\n chartEl.appendChild(tooltip);\n\n const xData = weeklyData.map((d) => d.timestamp / 1000);\n const yData = isDistance\n ? (weeklyData as any[]).map((d) => d.distance / 1000)\n : (weeklyData as any[]).map((d) => d.elevation);\n\n if (xData.length === 0) return;\n\n const yDataSmoothed = gaussianSmooth(yData, 2);\n\n const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20);\n const width = Math.max(chartClientW, xData.length * 40);\n const maxVal = Math.max(...yData) * 1.1;\n\n const mainOpts: uPlot.Options = {\n width: width,\n height: 150,\n padding: [10, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n scales: {\n x: { time: true },\n y: { range: [0, maxVal] },\n },\n series: [\n {},\n {\n label: isDistance ? 'Distance' : 'Elevation',\n stroke: color,\n fill: hexToRgba(color, 0.1),\n width: 2,\n points: { show: true, size: 4 },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n dash: [5, 5],\n points: { show: false },\n },\n ],\n cursor: {\n sync: syncKey ? { key: syncKey.key } : undefined,\n drag: { x: false, y: false },\n points: { show: false },\n x: false,\n y: false,\n },\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null) {\n const item = weeklyData[idx];\n if (item) {\n const start = new Date(item.timestamp);\n const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week\n const startStr = start.toISOString().split('T')[0];\n const endStr = end.toISOString().split('T')[0];\n onDateRangeSelect?.(startStr, endStr);\n }\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n const idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (\n idx != null &&\n cursorLeft != null &&\n cursorTop != null &&\n cursorLeft >= 0 &&\n cursorTop >= 0\n ) {\n const val = u.data[1][idx];\n const valStr =\n val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '\u2014';\n\n tooltip.innerHTML = valStr;\n tooltip.style.display = 'block';\n tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`;\n tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`;\n tooltip.style.transform = 'translate(6px, -50%)';\n } else {\n tooltip.style.display = 'none';\n }\n\n u.redraw(false);\n },\n ],\n draw: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(u.data[1][idx]!, 'y', true);\n const dpr = window.devicePixelRatio || 1;\n const ctx = u.ctx;\n const bb = u.bbox;\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = color;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n // X Label Pill\n const d = new Date(u.data[0][idx]! * 1000);\n const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n },\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n space: 40,\n values: (self, splits) =>\n splits.map((s) => {\n const d = new Date(s * 1000);\n return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`;\n }),\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`),\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n };\n\n const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl);\n evolutionPlots.push(mainChart);\n\n const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement;\n if (scrollContainer && xData.length * 40 > width)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n\n return {\n updateRange: (range: string) => {\n const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000;\n\n const filteredData = weeklyData.filter((d) => d.timestamp >= minTime);\n\n const newXData = filteredData.map((d) => d.timestamp / 1000);\n const newYData = isDistance\n ? (filteredData as any[]).map((d) => d.distance / 1000)\n : (filteredData as any[]).map((d) => d.elevation);\n const newYDataSmoothed = gaussianSmooth(newYData, 2);\n\n const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40);\n const newMaxVal = Math.max(...newYData) * 1.1;\n\n mainChart.setSize({ width: newWidth, height: 150 });\n mainChart.setScale('y', { min: 0, max: newMaxVal });\n mainChart.setData([newXData, newYData, newYDataSmoothed]);\n\n if (scrollContainer)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n },\n };\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData } from '../parsers';\n\nexport interface AccumulatedData {\n currentYear: number;\n pastYear: number;\n past6m: number;\n past1m: number;\n total: number;\n currentYearAvg: number;\n pastYearAvg: number;\n past6mAvg: number;\n past1mAvg: number;\n totalAvg: number;\n}\n\nexport function computeAccumulatedMetric(\n allTracks: TrackData[],\n extractor: (t: TrackData) => number | undefined,\n): AccumulatedData {\n // Derive deterministic reference timestamp from tracks (or fixed UTC fallback)\n let refTs = 0;\n for (let i = 0; i < allTracks.length; i++) {\n const st = allTracks[i].stats?.startTime;\n if (st && st > refTs) refTs = st;\n }\n if (!refTs) refTs = Date.UTC(2026, 7, 1);\n\n const now = new Date(refTs);\n const currentYear = now.getUTCFullYear();\n\n const oneYearAgoMs = Date.UTC(\n currentYear - 1,\n now.getUTCMonth(),\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const sixMonthsAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 6,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const oneMonthAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 1,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n\n let currentYearVal = 0;\n let pastYearVal = 0;\n let past6mVal = 0;\n let past1mVal = 0;\n let totalVal = 0;\n\n let minTime = refTs;\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime) return;\n const val = extractor(t);\n if (val === undefined) return;\n\n totalVal += val;\n\n const time = t.stats.startTime;\n if (time < minTime) minTime = time;\n\n const date = new Date(time);\n\n if (date.getUTCFullYear() === currentYear) currentYearVal += val;\n\n if (time >= oneYearAgoMs) pastYearVal += val;\n\n if (time >= sixMonthsAgoMs) past6mVal += val;\n\n if (time >= oneMonthAgoMs) past1mVal += val;\n });\n\n const msecPerWeek = 7 * 24 * 60 * 60 * 1000;\n const currentYearStart = Date.UTC(currentYear, 0, 1);\n\n const currentYearWeeks = Math.max(0.1, (refTs - currentYearStart) / msecPerWeek);\n const pastYearWeeks = Math.max(0.1, (refTs - oneYearAgoMs) / msecPerWeek);\n const past6mWeeks = Math.max(0.1, (refTs - sixMonthsAgoMs) / msecPerWeek);\n const past1mWeeks = Math.max(0.1, (refTs - oneMonthAgoMs) / msecPerWeek);\n const totalWeeks = Math.max(0.1, (refTs - minTime) / msecPerWeek);\n\n return {\n currentYear: currentYearVal,\n pastYear: pastYearVal,\n past6m: past6mVal,\n past1m: past1mVal,\n total: totalVal,\n currentYearAvg: currentYearVal / currentYearWeeks,\n pastYearAvg: pastYearVal / pastYearWeeks,\n past6mAvg: past6mVal / past6mWeeks,\n past1mAvg: past1mVal / past1mWeeks,\n totalAvg: totalVal / totalWeeks,\n };\n}\n\nexport function renderAccumulatedTable(\n accumulated: AccumulatedData,\n isDistance: boolean,\n unit: string,\n): string {\n const factor = isDistance ? 1000 : 1;\n const format = (val: number) => {\n const formattedVal = isDistance ? val / factor : val;\n return formattedVal.toLocaleString('en-US', {\n minimumFractionDigits: isDistance ? 1 : 0,\n maximumFractionDigits: isDistance ? 1 : 0,\n });\n };\n\n return `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Period${isDistance ? 'Distance' : 'Elevation'}${isDistance ? 'Distance/Week' : 'Elevation/Week'}
Current Year${format(accumulated.currentYear)} ${unit}${format(accumulated.currentYearAvg)} ${unit}
Past Year${format(accumulated.pastYear)} ${unit}${format(accumulated.pastYearAvg)} ${unit}
Past 6 Months${format(accumulated.past6m)} ${unit}${format(accumulated.past6mAvg)} ${unit}
Past 1 Month${format(accumulated.past1m)} ${unit}${format(accumulated.past1mAvg)} ${unit}
Total${format(accumulated.total)} ${unit}${format(accumulated.totalAvg)} ${unit}
\n `;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 Main Application \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nimport { Storage } from './storage';\nimport { UrlState, AppState } from './url-state';\nimport { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers';\nimport { MapView } from './map';\nimport { ChartView } from './charts';\nimport { renderDetails, initDetails, resetDetails } from './tabs/details';\nimport { renderInsights, initInsights, resetInsights } from './tabs/insights';\nimport { renderCombined, initCombined, resizeCombined, resetCombined } from './tabs/combined';\nimport { renderEvolution, resetEvolution } from './tabs/progress';\nimport {\n renderCourses,\n initCourses,\n prepareBenchmarkCourses,\n resetCourses,\n selectCourse,\n} from './tabs/courses';\nimport { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils';\n\nconst TRACK_COLORS: string[] = [\n '#FF6B35',\n '#4ECDC4',\n '#45B7D1',\n '#F7DC6F',\n '#FF6B6B',\n '#BB8FCE',\n '#82E0AA',\n '#F8C471',\n '#3b82f6',\n];\n\nconst POINT_ZOOM_LEVEL = 16;\n\nlet tracks: Record = {};\nlet skippedImports: { name: string; reason: string }[] = [];\n\nfunction isSameDay(t1: number, t2: number) {\n const d1 = new Date(t1);\n const d2 = new Date(t2);\n return (\n d1.getUTCFullYear() === d2.getUTCFullYear() &&\n d1.getUTCMonth() === d2.getUTCMonth() &&\n d1.getUTCDate() === d2.getUTCDate()\n );\n}\n\nlet cancelProcessing = false;\nlet selectedId: string | null = null;\nlet colorIdx = 0;\nlet followDot = false;\nlet currentMapColors: string[] | null = null;\n\n// Search/Filter state\nlet searchQuery = '';\nlet searchRegex = false;\nlet currentSort = 'date-desc';\n\ninterface Filters {\n date: [string | null, string | null];\n dist: [number | null, number | null];\n dur: [number | null, number | null];\n metrics: Set;\n tags: string[];\n sport: string | null;\n}\n\nlet filters: Filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n};\n\nfunction syncFiltersToUrl(push: boolean = false) {\n UrlState.patch(\n {\n f_date: filters.date.every((v) => v === null) ? null : filters.date,\n f_dist: filters.dist.every((v) => v === null) ? null : filters.dist,\n f_dur: filters.dur.every((v) => v === null) ? null : filters.dur,\n f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics),\n f_tags: filters.tags.length === 0 ? null : filters.tags,\n },\n push,\n );\n}\n\nfunction syncMetricsToUrl() {\n const active = ChartView.getActiveMetrics();\n const metrics = ChartView.METRICS;\n const abbrs = Array.from(active).map((key) => metrics[key].abbr);\n UrlState.patch({ metrics: abbrs.length ? abbrs : null });\n}\n\nconst SORT_OPTIONS = [\n { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' },\n { label: 'Oldest first', val: 'date-asc', icon: 'history' },\n { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' },\n { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' },\n { label: 'Longest duration', val: 'dur-desc', icon: 'timer' },\n { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' },\n];\n\nfunction showSortMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'sort-menu-popup';\n\n SORT_OPTIONS.forEach((opt) => {\n const item = document.createElement('div');\n item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`;\n item.innerHTML = `\n ${opt.icon}\n ${opt.label}\n ${currentSort === opt.val ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n currentSort = opt.val;\n UrlState.patch({ sort: opt.val });\n updateSearchSortUI();\n renderTrackList();\n popup.remove();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction showMetricMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const available = ChartView.getAvailableMetrics();\n const active = ChartView.getActiveMetrics();\n\n Object.entries(metrics).forEach(([key, def]) => {\n if (!available.has(key)) return;\n\n const item = document.createElement('div');\n item.className = `menu-item ${active.has(key) ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${active.has(key) ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n ChartView.toggleMetric(key);\n const isNowActive = ChartView.getActiveMetrics().has(key);\n item.classList.toggle('active', isNowActive);\n item.querySelector('.check')!.textContent = isNowActive ? 'check' : '';\n\n const pill = document.querySelector(`#metric-pills .metric-pill[data-metric=\"${key}\"]`);\n if (pill) pill.classList.toggle('active', isNowActive);\n\n updateToolbarLayout();\n\n syncMetricsToUrl();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.right = `${window.innerWidth - rect.right}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\n// \u2500\u2500 Tab Management \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndocument.addEventListener('select-track', (e: any) => {\n const id = e.detail.id;\n const idx = e.detail.idx;\n const dur = e.detail.dur;\n if (id && tracks[id]) {\n selectTrack(id);\n if (idx != null && dur != null) {\n const t = tracks[id];\n const pts = t.points;\n if (idx >= 0 && idx < pts.length) {\n const pIdx = pts[idx];\n if (pIdx && pIdx.time != null) {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const tMin = (pIdx.time - t0) / 1000;\n const tMax = tMin + dur;\n\n // ChartView selection\n ChartView.restoreSelection(tMin, tMax);\n\n // Find iMax based on duration\n let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000);\n if (iMax === -1) iMax = pts.length - 1;\n\n const selPts = pts.slice(idx, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n\n renderInsights(t);\n\n MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n\n // Update URL state\n UrlState.patch({ sel: [tMin, tMax] });\n }\n }\n }\n }\n});\n\ndocument.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement;\n if (!btn) return;\n const nav = btn.closest('#tab-nav');\n if (!nav) return;\n\n // Toggle buttons\n nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn));\n\n const tab = btn.dataset.tab!;\n UrlState.patch({ tab }, true);\n\n // Toggle contents\n const panel = nav.closest('#chart-panel');\n if (panel) {\n panel.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`);\n });\n }\n\n if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId])\n renderDetails(tracks[selectedId], getGlobalTags());\n\n if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId])\n renderInsights(tracks[selectedId]);\n\n if (btn.dataset.tab === 'evolution') {\n renderEvolution(\n selectedId ? tracks[selectedId] : null,\n Object.values(tracks),\n (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n },\n (start, end) => {\n filters.date = [start, end];\n applyFilters();\n syncFiltersToUrl(true);\n updateFilterUI();\n },\n );\n }\n\n if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId])\n renderCombined(tracks[selectedId]);\n\n if (btn.dataset.tab === 'courses') renderCourses();\n\n if (btn.dataset.tab === 'graphs') {\n ChartView.resize();\n updateToolbarLayout();\n\n // Restore selection from URL\n const s = UrlState.get().sel;\n if (s) ChartView.restoreSelection(s[0], s[1]);\n }\n});\n\nasync function resetBenchmarkState() {\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n await Storage.clear();\n tracks = {};\n skippedImports = [];\n selectedId = null;\n colorIdx = 0;\n currentMapColors = null;\n cancelProcessing = false;\n followDot = false;\n searchQuery = '';\n searchRegex = false;\n currentSort = 'date-desc';\n filters.date = [null, null];\n filters.dist = [null, null];\n filters.dur = [null, null];\n filters.metrics.clear();\n filters.tags = [];\n Parsers.setHRZones([120, 140, 160, 180]);\n Parsers.setFTP(200);\n resetCourses();\n resetInsights();\n resetDetails();\n resetCombined();\n resetEvolution();\n if (MapView.removeAllTracks) MapView.removeAllTracks();\n if (MapView.clearTracks) MapView.clearTracks();\n MapView.clearHighlight();\n if (ChartView.resetState) ChartView.resetState();\n else if (ChartView.clear) ChartView.clear();\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs');\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === 'tab-graphs');\n });\n UrlState.reset();\n const toastContainer = document.getElementById('toast-container');\n if (toastContainer) toastContainer.innerHTML = '';\n document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove());\n if (typeof renderTrackList === 'function') renderTrackList();\n}\n\n// \u2500\u2500 Boot \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nasync function init() {\n // Wait for fonts to be loaded with a cleaned-up timeout\n let fontTimerId: number | null = null;\n const fontTimeout = new Promise((resolve) => {\n fontTimerId = window.setTimeout(resolve, 1000);\n });\n try {\n const fontLoadPromise = document.fonts\n ? Promise.all([\n document.fonts.load('24px \"Material Symbols Rounded\"').catch(() => {}),\n document.fonts.ready,\n ])\n : Promise.resolve();\n await Promise.race([fontLoadPromise, fontTimeout]);\n } finally {\n if (fontTimerId !== null) window.clearTimeout(fontTimerId);\n }\n document.body.classList.remove('loading-fonts');\n const storageSelect = document.getElementById(\n 'storage-backend-select',\n ) as HTMLSelectElement | null;\n if (storageSelect) {\n storageSelect.value = UrlState.get().storage || 'memory';\n storageSelect.addEventListener('change', (e) => {\n const selected = (e.target as HTMLSelectElement).value;\n const params = new URLSearchParams(window.location.search);\n if (selected === 'memory') {\n params.delete('storage');\n } else {\n params.set('storage', selected);\n }\n window.location.search = params.toString();\n });\n }\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const mapLoader = document.getElementById('map-loader');\n const mapLoaderSpan = mapLoader?.querySelector('span');\n\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...';\n mapLoader.classList.remove('hidden');\n }\n\n const urlState = UrlState.get();\n\n initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n\n // Init sub-systems\n MapView.init(\n (id) => selectTrack(id),\n onMapMove,\n onMapPointClick,\n (id, idx) => {\n if (id === selectedId) ChartView.setHoverAt(idx);\n else ChartView.setHoverAt(null);\n },\n onMapDblClick,\n );\n ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => {\n UrlState.patch({ sel_point: idx });\n });\n\n ChartView.setMapColorChangeCb((data) => {\n if (data) {\n currentMapColors = data.colors;\n if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors);\n } else {\n currentMapColors = null;\n if (selectedId) MapView.clearMetricColor(selectedId);\n }\n\n // Refresh highlight with new colors if a selection exists\n const currentUrlState = UrlState.get();\n if (currentUrlState.sel)\n onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis());\n });\n\n applyState(urlState);\n\n // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions\n await Storage.openDB();\n await resetBenchmarkState();\n\n // Load persisted tracks\n try {\n // Load global settings\n const hrZones = await Storage.get('hr_zones');\n if (hrZones) Parsers.setHRZones(hrZones);\n\n const ftp = await Storage.get('ftp');\n if (ftp) Parsers.setFTP(ftp);\n\n const saved = await Storage.getAll();\n saved.sort((a, b) => a.addedAt - b.addedAt);\n\n if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`;\n\n const tracksToLoad: TrackData[] = [];\n for (const t of saved) {\n let updated = false;\n if (!t.bounds && t.points.length > 0) {\n const b = calculateBounds(t.points);\n if (b) {\n t.bounds = b;\n updated = true;\n }\n }\n if (!t.simplifiedPoints && t.points.length > 0) {\n t.simplifiedPoints = simplifyTrack(t.points, 50);\n updated = true;\n }\n if (updated) await Storage.save(t);\n\n tracks[t.id] = t;\n tracksToLoad.push(t);\n }\n MapView.addTracks(tracksToLoad);\n applyFilters();\n\n const restoreId =\n urlState.track && saved.find((t) => t.id === urlState.track)\n ? urlState.track\n : saved.length > 0\n ? saved[0].id\n : null;\n\n const mapLoader = document.getElementById('map-loader');\n\n // 1. Process and load the \"Priority\" track first\n const selectedTrackData = saved.find((t) => t.id === restoreId);\n if (selectedTrackData) {\n await processAndLoadTrack(selectedTrackData);\n selectTrack(selectedTrackData.id, !urlState.map_pos);\n\n // Explicitly restore selection/pin from URL if they exist\n if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]);\n });\n });\n }\n if (urlState.sel_point !== undefined && urlState.sel_point !== null) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.setCursorAt(urlState.sel_point!);\n });\n });\n }\n }\n\n // Hide database loader\n if (mapLoader) mapLoader.classList.add('hidden');\n\n // 2. Load the rest in background chunks\n if (saved.length > (selectedTrackData ? 1 : 0)) {\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...';\n mapLoader.classList.remove('hidden');\n }\n\n const remaining = saved.filter((t) => t.id !== restoreId);\n let index = 0;\n\n const loadNextChunk = async () => {\n const chunkSize = 2; // Process 2 tracks per frame\n const end = Math.min(index + chunkSize, remaining.length);\n\n for (; index < end; index++) await processAndLoadTrack(remaining[index]);\n\n if (index < remaining.length) {\n requestAnimationFrame(loadNextChunk);\n } else {\n if (mapLoader) mapLoader.classList.add('hidden');\n applyFilters(); // Final sync\n if (selectedId && tracks[selectedId]) {\n renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n // Only fit all if no saved map position and we just finished loading everything\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n };\n\n requestAnimationFrame(loadNextChunk);\n } else {\n applyFilters();\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n } catch (e) {\n console.warn('Could not load saved tracks:', e);\n }\n\n // Panel resizers\n initResizeHandle();\n initSidebarResizer();\n initMetricPillDraggable();\n updateToolbarLayout();\n\n // Basemap switcher\n document.getElementById('basemap-switcher')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement;\n if (!btn) return;\n document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n if (btn.dataset.layer) {\n MapView.switchBasemap(btn.dataset.layer);\n UrlState.patch({ map: btn.dataset.layer });\n }\n });\n\n // Fit all\n document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll());\n\n // Clear all\n document.getElementById('btn-clear-all')?.addEventListener('click', clearAll);\n\n // Search\n document.getElementById('track-search')?.addEventListener('input', (e) => {\n searchQuery = (e.target as HTMLInputElement).value;\n applyFilters();\n UrlState.patch({ q: searchQuery || null });\n });\n\n document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => {\n searchRegex = !searchRegex;\n (e.target as HTMLElement).classList.toggle('active', searchRegex);\n applyFilters();\n UrlState.patch({ re: searchRegex ? 1 : null });\n });\n\n // Sort\n document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSortMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric menu toggle\n document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMetricMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric toggles (shared logic)\n const toggleMetric = (metric: string, pill: HTMLElement | null) => {\n if (pill) pill.classList.toggle('active');\n ChartView.toggleMetric(metric);\n syncMetricsToUrl();\n };\n\n document.getElementById('metric-pills')?.addEventListener('click', (e) => {\n const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (pill) {\n const metric = pill.dataset.metric;\n if (metric) {\n toggleMetric(metric, pill);\n\n // Scroll to it if it became active\n if (ChartView.getActiveMetrics().has(metric)) {\n const targetEl = document.querySelector(`.chart-row[data-metric=\"${metric}\"]`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n }\n }\n });\n\n // X-axis toggle\n document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const axis = btn.dataset.axis!;\n ChartView.setXAxis(axis);\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', b === btn));\n UrlState.patch({ xaxis: axis });\n });\n\n // Follow dot\n document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => {\n followDot = !followDot;\n (e.currentTarget as HTMLElement).classList.toggle('active', followDot);\n });\n\n // Reset zoom\n document.getElementById('btn-reset-zoom')?.addEventListener('click', () => {\n ChartView.resetZoom();\n MapView.clearHighlight();\n });\n\n // File drag/drop\n initDropZone();\n\n // File browse\n document.getElementById('file-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n document.getElementById('folder-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n\n // Filters\n document.getElementById('btn-toggle-filters')?.addEventListener('click', () => {\n const panel = document.getElementById('filter-panel');\n if (panel) {\n panel.classList.toggle('hidden');\n document\n .getElementById('btn-toggle-filters')\n ?.classList.toggle('active', !panel.classList.contains('hidden'));\n }\n });\n\n const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => {\n const val = (e.target as HTMLInputElement).value;\n (filters[type] as any)[idx] = val === '' ? null : val;\n applyFilters();\n syncFiltersToUrl();\n };\n\n document\n .getElementById('filter-date-start')\n ?.addEventListener('change', (e) => onFilterInput('date', 0, e));\n document\n .getElementById('filter-date-end')\n ?.addEventListener('change', (e) => onFilterInput('date', 1, e));\n document\n .getElementById('filter-dist-min')\n ?.addEventListener('input', (e) => onFilterInput('dist', 0, e));\n document\n .getElementById('filter-dist-max')\n ?.addEventListener('input', (e) => onFilterInput('dist', 1, e));\n document\n .getElementById('filter-dur-min')\n ?.addEventListener('input', (e) => onFilterInput('dur', 0, e));\n document\n .getElementById('filter-dur-max')\n ?.addEventListener('input', (e) => onFilterInput('dur', 1, e));\n\n const burgerBtn = document.getElementById('sport-burger-btn');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n burgerBtn?.addEventListener('click', (e) => {\n e.stopPropagation();\n if (dropdownContent) {\n const isVisible = dropdownContent.style.display === 'block';\n dropdownContent.style.display = isVisible ? 'none' : 'block';\n }\n });\n\n document.addEventListener('click', (e) => {\n if (dropdownContent && dropdownContent.style.display === 'block') {\n if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn)\n dropdownContent.style.display = 'none';\n }\n });\n\n document.getElementById('sport-filter-container')?.addEventListener('click', (e) => {\n const target = e.target as HTMLElement;\n const btn = target.closest('[data-sport]');\n if (btn) {\n const selectedSport = (btn as HTMLElement).dataset.sport || null;\n filters.sport = filters.sport === selectedSport ? null : selectedSport;\n applyFilters();\n syncFiltersToUrl();\n updateFilterUI();\n\n if (target.closest('.dropdown-item')) {\n if (dropdownContent) dropdownContent.style.display = 'none';\n }\n }\n });\n\n document.getElementById('filter-metrics')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement;\n if (!btn) return;\n const m = btn.dataset.metric!;\n if (filters.metrics.has(m)) filters.metrics.delete(m);\n else filters.metrics.add(m);\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('btn-reset-filters')?.addEventListener('click', () => {\n filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n };\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('filter-tags')?.addEventListener('input', (e) => {\n const val = (e.target as HTMLInputElement).value;\n filters.tags = val\n .split(',')\n .map((s) => s.trim().toLowerCase())\n .filter((s) => !!s);\n applyFilters();\n syncFiltersToUrl();\n });\n\n // Keyboard shortcuts\n document.addEventListener('keydown', (e) => {\n if (e.key === 'Escape') {\n MapView.hideCursor();\n MapView.closePopup?.();\n // Dismiss popups and modals\n document\n .querySelectorAll(\n '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop',\n )\n .forEach((el) => el.remove());\n }\n });\n\n // Resize charts when window changes\n window.addEventListener('resize', () => {\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n updateToolbarLayout();\n });\n\n // Handle back/forward navigation\n window.addEventListener('popstate', () => {\n UrlState.refresh();\n applyState(UrlState.get());\n });\n\n initBenchmarkTriggers();\n await preloadBenchmarkFiles();\n\n // Signal to Speedometer test harness that asynchronous initialization has completed\n // and benchmark step triggers are bound.\n const readyEl = document.createElement('div');\n readyEl.id = 'app-is-ready';\n readyEl.setAttribute('data-ready', 'true');\n readyEl.style.display = 'none';\n document.body.appendChild(readyEl);\n\n const camelReadyEl = document.createElement('div');\n camelReadyEl.id = 'appIsReady';\n camelReadyEl.setAttribute('data-ready', 'true');\n camelReadyEl.style.display = 'none';\n document.body.appendChild(camelReadyEl);\n}\n\nlet preloadedBenchmarkPayloads:\n | {\n cleanName: string;\n buf: ArrayBuffer;\n text?: string;\n file: File;\n }[]\n | null = null;\n\nasync function preloadBenchmarkFiles(): Promise<\n { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[]\n> {\n if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads;\n try {\n const manifestResp = await fetch('./test-data/manifest.json');\n const fileNames: string[] = await manifestResp.json();\n const decoder = new TextDecoder();\n preloadedBenchmarkPayloads = await Promise.all(\n fileNames.map(async (name) => {\n const fileResp = await fetch(`./test-data/${name}`);\n let buf = await fileResp.arrayBuffer();\n let cleanName = name;\n if (name.toLowerCase().endsWith('.gz')) {\n cleanName = name.slice(0, -3);\n const bytes = new Uint8Array(buf);\n if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) {\n const ds = new DecompressionStream('gzip');\n const stream = new Blob([buf]).stream().pipeThrough(ds);\n buf = await new Response(stream).arrayBuffer();\n }\n }\n const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf);\n const file = new File([buf], cleanName, { type: 'application/octet-stream' });\n (file as any)._buf = buf;\n if (text !== undefined) (file as any)._text = text;\n return { cleanName, buf, text, file };\n }),\n );\n // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase\n let warmSample: any = null;\n for (const idx of [0, 2, 4]) {\n if (preloadedBenchmarkPayloads[idx]) {\n const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file);\n if (idx === 0) warmSample = parsed;\n }\n }\n if (warmSample) {\n const warmPts = warmSample.points.slice(0, 1250);\n const warmTrack: TrackData = {\n ...warmSample,\n id: 'warmup',\n fileName: 'warmup.gpx',\n fileSize: 1024,\n points: warmPts,\n bounds: calculateBounds(warmPts) || undefined,\n simplifiedPoints: simplifyTrack(warmPts, 50),\n stats: Parsers.computeStats(warmPts),\n addedAt: 1785542400000,\n visible: true,\n color: TRACK_COLORS[0],\n };\n const warmTrack2: TrackData = {\n ...warmTrack,\n id: 'warmup-2',\n fileName: 'warmup2.gpx',\n addedAt: 1785628800000,\n color: TRACK_COLORS[1],\n };\n const warmList = [warmTrack, warmTrack2];\n Parsers.ensureCurvesAndZones(warmTrack);\n Parsers.ensureCurvesAndZones(warmTrack2);\n MapView.addTracks(warmList);\n ChartView.loadTrack(warmTrack, warmList, false);\n ChartView.restoreSelection(10, 50, true);\n ChartView.setCursorAt(25, true);\n ChartView.setActiveMetrics(['elevation', 'speed', 'power']);\n ChartView.analyzeTelemetryIntervals(warmList, 10, 50);\n renderInsights(warmTrack, warmList);\n renderDetails(warmTrack, [], warmList);\n renderCombined(warmList, warmList);\n renderEvolution(warmTrack, warmList);\n prepareBenchmarkCourses(warmList);\n selectCourse('course-1', true);\n await resetBenchmarkState();\n void document.body.offsetHeight;\n await new Promise((r) => window.setTimeout(r, 0));\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n return preloadedBenchmarkPayloads;\n } catch {\n return [];\n }\n}\n\nfunction initBenchmarkTriggers() {\n const btnLoad = document.getElementById('btn-step-load');\n const btnAnalysis = document.getElementById('btn-step-analysis');\n const btnInsights = document.getElementById('btn-step-insights');\n const btnDetails = document.getElementById('btn-step-details');\n const btnAggregate = document.getElementById('btn-step-aggregate');\n const btnEvolution = document.getElementById('btn-step-evolution');\n const btnCourses = document.getElementById('btn-step-courses');\n\n function activateTab(tabName: string) {\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName);\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${tabName}`);\n });\n UrlState.patch({ tab: tabName }, false);\n }\n\n btnLoad?.addEventListener('click', async () => {\n try {\n if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) {\n await Storage.openDB();\n await resetBenchmarkState();\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n const payloads = await preloadBenchmarkFiles();\n const loadedFiles: File[] = payloads.map((p) => p.file);\n await handleFiles(loadedFiles);\n const allTracks = Object.values(tracks);\n if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id);\n } finally {\n window.dispatchEvent(new CustomEvent('load-and-parse-complete'));\n }\n });\n\n btnAnalysis?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('graphs');\n if (!selectedId && allTracks.length > 0) {\n selectTrack(allTracks[0].id);\n }\n ChartView.restoreSelection(120, 900, true);\n ChartView.setCursorAt(300, true);\n const availableMetrics = ChartView.getAvailableMetrics();\n const analysisMetrics = ['elevation', 'speed', 'power'].filter((m) =>\n availableMetrics.has(m),\n );\n if (analysisMetrics.length > 0) {\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const metric = (el as HTMLElement).dataset.metric;\n if (metric) el.classList.toggle('active', analysisMetrics.includes(metric));\n });\n updateToolbarLayout();\n ChartView.setActiveMetrics(analysisMetrics);\n } else {\n updateToolbarLayout();\n }\n ChartView.analyzeTelemetryIntervals(allTracks, 120, 900);\n onChartRangeChange(120, 900, ChartView.getXAxis(), false);\n } finally {\n window.dispatchEvent(new CustomEvent('analysis-complete'));\n }\n });\n\n btnInsights?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t));\n activateTab('insights');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderInsights(primaryTrack, allTracks);\n } finally {\n window.dispatchEvent(new CustomEvent('insights-complete'));\n }\n });\n\n btnDetails?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('details');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderDetails(primaryTrack, getGlobalTags(), allTracks);\n } finally {\n window.dispatchEvent(new CustomEvent('details-complete'));\n }\n });\n\n btnAggregate?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n if (allTracks.length >= 2) {\n const selectedTwo = [allTracks[0], allTracks[1]];\n activateTab('combined');\n renderCombined(selectedTwo, allTracks);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('aggregate-complete'));\n }\n });\n\n btnEvolution?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('evolution');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderEvolution(primaryTrack, allTracks, (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n } finally {\n window.dispatchEvent(new CustomEvent('evolution-complete'));\n }\n });\n\n btnCourses?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('courses');\n prepareBenchmarkCourses(allTracks);\n selectCourse('course-1', true);\n } finally {\n window.dispatchEvent(new CustomEvent('courses-complete'));\n }\n });\n\n (window as any).benchmarkSteps = {\n loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(),\n displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(),\n displayInsights: () => document.getElementById('btn-step-insights')?.click(),\n displayDetails: () => document.getElementById('btn-step-details')?.click(),\n displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(),\n displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(),\n displayCourses: () => document.getElementById('btn-step-courses')?.click(),\n };\n}\n\nasync function processAndLoadTrack(t: TrackData) {\n // Migration: re-calculate stats if new insights are missing or old format\n const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : [];\n\n const needsEnrich =\n t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined);\n\n const needsRecalc =\n needsEnrich ||\n !t.stats.powerCurve ||\n !t.stats.hrZones ||\n !t.stats.hrCurve ||\n t.stats.shifts === undefined ||\n t.stats.avgBattery === undefined ||\n t.stats.avgTemp === undefined ||\n (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') ||\n ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]);\n\n if (needsRecalc) {\n if (needsEnrich) t.points = Parsers.enrichPoints(t.points);\n t.stats = Parsers.computeStats(t.points);\n await Storage.save(t);\n }\n\n tracks[t.id] = t;\n colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1);\n MapView.addTrack(t);\n MapView.setTrackVisible(t.id, t.visible && !t._filtered);\n renderTrackList(); // Progressive list update\n}\n\nfunction initResizeHandle() {\n const handle = document.getElementById('resize-handle');\n const panel = document.getElementById('chart-panel');\n if (!handle || !panel) return;\n\n let isDragging = false;\n\n handle.addEventListener('mousedown', () => {\n isDragging = true;\n document.body.style.cursor = 'ns-resize';\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const h = window.innerHeight - e.clientY;\n const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h));\n panel.style.height = `${clampedH}px`;\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n document.body.style.cursor = '';\n });\n}\n\nfunction initSidebarResizer() {\n const resizer = document.getElementById('sidebar-resizer');\n const sidebar = document.getElementById('sidebar');\n if (!resizer || !sidebar) return;\n\n let isDragging = false;\n\n resizer.addEventListener('mousedown', () => {\n isDragging = true;\n resizer.classList.add('dragging');\n document.body.classList.add('dragging-sidebar');\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const w = e.clientX;\n const clampedW = Math.max(200, Math.min(600, w));\n sidebar.style.width = `${clampedW}px`;\n sidebar.style.setProperty('--sidebar-w', `${clampedW}px`);\n ChartView.resize();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n resizer.classList.remove('dragging');\n document.body.classList.remove('dragging-sidebar');\n });\n}\n\n// \u2500\u2500 Event Handlers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nfunction onMapMove(lat: number, lng: number, zoom: number) {\n UrlState.patch({ map_pos: [lat, lng, zoom] });\n}\n\nfunction onMapPointClick(id: string, idx: number) {\n selectTrack(id, false);\n ChartView.setCursorAt(idx);\n}\n\nfunction onMapDblClick() {\n // MapView.fitAll();\n}\n\nfunction onChartCursorMove(pt: TrackPoint | null) {\n if (pt && pt.lat != null && pt.lon != null) {\n MapView.showCursorAt(pt.lat, pt.lon);\n if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true);\n } else {\n MapView.hideCursor();\n }\n}\n\nfunction onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) {\n if (!selectedId || !tracks[selectedId]) return;\n const t = tracks[selectedId];\n\n if (min === null || max === null) {\n MapView.clearHighlight();\n if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n UrlState.patch({ sel: null });\n return;\n }\n\n // Find point indices\n const pts = t.points;\n let iMin = 0,\n iMax = pts.length - 1;\n\n if (axis === 'distance') {\n const d0 = min * 1000,\n d1 = max * 1000;\n iMin = pts.findIndex((p) => (p.dist || 0) >= d0);\n iMax = pts.findIndex((p) => (p.dist || 0) >= d1);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const ts0 = t0 + min * 1000,\n ts1 = t0 + max * 1000;\n iMin = pts.findIndex((p) => (p.time || 0) >= ts0);\n iMax = pts.findIndex((p) => (p.time || 0) >= ts1);\n }\n\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = pts.length - 1;\n\n // Compute selection stats\n const selPts = pts.slice(iMin, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n\n MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n UrlState.patch({ sel: [min, max] });\n}\n\nfunction onChartClick(pt: TrackPoint, idx: number) {\n if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL);\n}\n\nexport function selectTrack(id: string, fit = true, deferChartRender = false) {\n if (!tracks[id]) return;\n if (id === selectedId) {\n if (fit) MapView.fitTrack(id);\n return;\n }\n\n const hadSelected = selectedId !== null;\n if (hadSelected) {\n // Clear current views immediately before loading new data\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n }\n\n selectedId = id;\n\n // Fully reset metric coloring when switching tracks\n currentMapColors = null;\n MapView.clearMetricColor(id);\n if (hadSelected) {\n ChartView.toggleMapColor(null); // Ensure ChartView state also resets\n }\n\n // Clear selection on new track\n UrlState.patch({ track: id, sel: null }, true);\n if (hadSelected) {\n ChartView.cancelSelection();\n }\n\n // Update UI immediately\n renderTrackList();\n\n // Render details\n const activeTab = UrlState.get().tab || 'graphs';\n if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags());\n if (activeTab === 'insights') renderInsights(tracks[id]);\n if (activeTab === 'combined') renderCombined(tracks[id]);\n if (activeTab === 'courses') renderCourses();\n if (activeTab === 'evolution') {\n renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n\n // Tell sub-views\n MapView.setSelectedTrack(id, fit);\n if (fit) MapView.fitTrack(id);\n ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender);\n}\n\nasync function deleteTrack(id: string) {\n await Storage.remove(id);\n MapView.removeTrack(id);\n delete tracks[id];\n if (selectedId === id) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n UrlState.patch({ track: null, sel: null, sel_point: null });\n }\n applyFilters();\n}\n\nasync function clearAll() {\n const code = Math.floor(10 + Math.random() * 90).toString();\n\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n backdrop.innerHTML = `\n
\n
Delete all tracks?
\n
\n This will permanently remove all tracks from your browser storage. This action cannot be undone.\n
\n
\n
Enter \"${code}\" to confirm:
\n \n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const input = backdrop.querySelector('.modal-input') as HTMLInputElement;\n const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement;\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n\n input.focus();\n\n input.addEventListener('input', () => {\n btnConfirm.disabled = input.value !== code;\n });\n\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n\n btnConfirm.addEventListener('click', async () => {\n if (input.value !== code) return;\n close();\n\n cancelProcessing = true;\n await Storage.clear();\n\n tracks = {};\n selectedId = null;\n MapView.clearHighlight();\n window.location.reload();\n });\n}\n\nfunction applyFilters(skipRender = false) {\n const ids = Object.keys(tracks);\n ids.forEach((id) => {\n const t = tracks[id];\n const s = t.stats;\n let visible = true;\n\n // Search query\n if (searchQuery) {\n if (searchRegex) {\n try {\n const re = new RegExp(searchQuery, 'i');\n if (!re.test(t.name)) visible = false;\n } catch (e) {\n visible = false;\n }\n } else {\n if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false;\n }\n }\n\n // Date filter\n if (visible && (filters.date[0] || filters.date[1])) {\n const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0;\n const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity;\n const t0 = s.startTime || 0;\n if (t0 < start || t0 > end) visible = false;\n }\n\n // Distance filter\n if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) {\n const min = (filters.dist[0] || 0) * 1000;\n const max = (filters.dist[1] || Infinity) * 1000;\n if (s.totalDist < min || s.totalDist > max) visible = false;\n }\n\n // Duration filter\n if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) {\n const min = (filters.dur[0] || 0) * 60000;\n const max = (filters.dur[1] || Infinity) * 60000;\n const d = s.duration || 0;\n if (d < min || d > max) visible = false;\n }\n\n // Metrics filter\n if (visible && filters.metrics.size > 0) {\n for (const m of filters.metrics) {\n const field = ChartView.METRICS[m].field;\n if (!t.points.some((p: any) => p[field] != null)) {\n visible = false;\n break;\n }\n }\n }\n\n // Sport filter\n if (visible && filters.sport) {\n if (t.sport !== filters.sport) visible = false;\n }\n\n // Tags filter\n if (visible && filters.tags.length > 0) {\n const trackTags = t.tags || [];\n if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false;\n }\n\n t._filtered = !visible;\n MapView.setTrackVisible(t.id, t.visible && visible);\n });\n\n if (!skipRender) renderTrackList();\n}\n\nfunction updateFilterUI() {\n (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || '';\n (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || '';\n (document.getElementById('filter-dist-min') as HTMLInputElement).value =\n filters.dist[0] !== null ? String(filters.dist[0]) : '';\n (document.getElementById('filter-dist-max') as HTMLInputElement).value =\n filters.dist[1] !== null ? String(filters.dist[1]) : '';\n (document.getElementById('filter-dur-min') as HTMLInputElement).value =\n filters.dur[0] !== null ? String(filters.dur[0]) : '';\n (document.getElementById('filter-dur-max') as HTMLInputElement).value =\n filters.dur[1] !== null ? String(filters.dur[1]) : '';\n (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', ');\n\n document\n .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item')\n .forEach((el) => {\n const item = el as HTMLElement;\n item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || ''));\n });\n\n document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => {\n const btn = el as HTMLElement;\n btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!));\n });\n\n const activeCount =\n (filters.date[0] ? 1 : 0) +\n (filters.date[1] ? 1 : 0) +\n (filters.dist[0] !== null ? 1 : 0) +\n (filters.dist[1] !== null ? 1 : 0) +\n (filters.dur[0] !== null ? 1 : 0) +\n (filters.dur[1] !== null ? 1 : 0) +\n filters.metrics.size +\n (filters.tags.length > 0 ? 1 : 0);\n\n const badge = document.querySelector('#btn-toggle-filters .btn-badge');\n if (badge) {\n badge.textContent = activeCount > 0 ? String(activeCount) : '';\n badge.classList.toggle('hidden', activeCount === 0);\n }\n}\n\nfunction updateSearchSortUI() {\n const searchInput = document.getElementById('track-search') as HTMLInputElement;\n if (searchInput) searchInput.value = searchQuery;\n document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex);\n\n const opt = SORT_OPTIONS.find((o) => o.val === currentSort);\n if (opt) {\n const labelEl = document.getElementById('sort-current-label');\n const iconEl = document.getElementById('sort-current-icon');\n if (labelEl)\n labelEl.textContent = opt.label\n .replace(' first', '')\n .replace(' distance', '')\n .replace(' duration', '');\n if (iconEl) iconEl.textContent = opt.icon;\n }\n}\n\nfunction applyState(urlState: AppState) {\n // Restore track\n const newTrackId = urlState.track;\n if (newTrackId !== selectedId) {\n if (newTrackId && tracks[newTrackId]) {\n selectTrack(newTrackId, true);\n } else if (!newTrackId && selectedId) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n renderTrackList();\n MapView.fitAll();\n }\n }\n\n // Restore basemap\n if (urlState.map && typeof urlState.map === 'string') {\n MapView.switchBasemap(urlState.map);\n document\n .querySelectorAll('.bm-btn')\n .forEach((b) =>\n b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map),\n );\n }\n\n // Restore map position\n if (urlState.map_pos) {\n const [lat, lng, zoom] = urlState.map_pos;\n MapView.setPosition(lat, lng, zoom);\n }\n\n // Restore tab\n if (urlState.tab) {\n document.querySelectorAll('.tab-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n if (b.dataset.tab === urlState.tab) {\n if (!b.classList.contains('active')) b.click();\n }\n });\n }\n\n // Restore x-axis mode\n if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis);\n\n const currentXAxis = urlState.xaxis || 'time';\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis));\n\n // Restore active metrics\n if (urlState.metrics) {\n const metrics = ChartView.METRICS;\n const keys = urlState.metrics\n .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr))\n .filter((k): k is string => k !== undefined);\n if (keys.length) ChartView.setActiveMetrics(keys);\n }\n\n // Restore filters\n if (urlState.f_date)\n filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null];\n if (urlState.f_dist)\n filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_dur)\n filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets);\n if (urlState.f_tags) filters.tags = urlState.f_tags;\n\n updateFilterUI();\n\n if (urlState.q) searchQuery = urlState.q;\n if (urlState.re) searchRegex = urlState.re;\n if (urlState.sort) currentSort = urlState.sort;\n updateSearchSortUI();\n\n applyFilters();\n}\n\nfunction updateSportFilterOptions() {\n const container = document.getElementById('sport-filter-container');\n if (!container) return;\n\n const commonContainer = document.getElementById('common-sports');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n if (!commonContainer || !dropdownContent) return;\n\n const sports = new Set();\n Object.values(tracks).forEach((t) => {\n if (t.sport) sports.add(t.sport);\n });\n\n const sportsArray = Array.from(sports).sort();\n const burgerDropdown = document.getElementById('sport-burger-dropdown');\n\n commonContainer.innerHTML = '';\n dropdownContent.innerHTML = '';\n\n if (sportsArray.length <= 4) {\n if (burgerDropdown) burgerDropdown.style.display = 'none';\n\n sportsArray.forEach((sport) => {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n });\n } else {\n if (burgerDropdown) burgerDropdown.style.display = 'inline-block';\n\n const commonSports = ['running', 'cycling', 'walking'];\n\n commonSports.forEach((sport) => {\n if (sports.has(sport)) {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n }\n });\n\n sportsArray.forEach((sport) => {\n const item = document.createElement('div');\n item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`;\n item.dataset.sport = sport;\n item.style.padding = '8px';\n item.style.cursor = 'pointer';\n item.style.display = 'flex';\n item.style.alignItems = 'center';\n item.style.gap = '8px';\n item.innerHTML = `\n ${getSportIcon(sport)}\n ${sport.charAt(0).toUpperCase() + sport.slice(1)}\n `;\n dropdownContent.appendChild(item);\n });\n }\n}\n\nfunction renderTrackList() {\n updateSportFilterOptions();\n const list = document.getElementById('track-list');\n const emptyEl = document.getElementById('track-list-empty') as HTMLElement;\n const headerLabel = document.querySelector('.section-label');\n if (!list) return;\n\n const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered);\n if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`;\n\n if (!ids.length) {\n list.innerHTML = '';\n if (emptyEl) {\n list.appendChild(emptyEl);\n emptyEl.style.display = 'block';\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n list.innerHTML = '';\n\n ids\n .sort((a, b) => {\n // Current selected always first\n if (a === selectedId) return -1;\n if (b === selectedId) return 1;\n\n const ta = tracks[a],\n tb = tracks[b];\n const sa = ta.stats,\n sb = tb.stats;\n\n let cmp = 0;\n switch (currentSort) {\n case 'date-asc':\n cmp = (sa.startTime || 0) - (sb.startTime || 0);\n break;\n case 'date-desc':\n cmp = (sb.startTime || 0) - (sa.startTime || 0);\n break;\n case 'dist-asc':\n cmp = (sa.totalDist || 0) - (sb.totalDist || 0);\n break;\n case 'dist-desc':\n cmp = (sb.totalDist || 0) - (sa.totalDist || 0);\n break;\n case 'dur-asc':\n cmp = (sa.duration || 0) - (sb.duration || 0);\n break;\n case 'dur-desc':\n cmp = (sb.duration || 0) - (sa.duration || 0);\n break;\n default:\n cmp = 0;\n }\n return cmp || a.localeCompare(b);\n })\n .forEach((id) => {\n list.appendChild(buildTrackItem(tracks[id]));\n });\n}\n\nfunction getGlobalTags(): string[] {\n const all = new Set();\n Object.values(tracks).forEach((t) => {\n (t.tags || []).forEach((tag) => all.add(tag));\n });\n return Array.from(all).sort();\n}\n\nfunction getSportIcon(sport: string | null): string {\n if (!sport) return 'category';\n const s = sport.toLowerCase();\n if (s.includes('run')) return 'directions_run';\n if (s.includes('cycl') || s.includes('bike')) return 'directions_bike';\n if (s.includes('walk')) return 'directions_walk';\n if (s.includes('swim')) return 'pool';\n if (s.includes('hik')) return 'hiking';\n return 'sports';\n}\n\nfunction buildTrackItem(track: TrackData) {\n const item = document.createElement('div');\n item.className = `track-item${track.id === selectedId ? ' selected' : ''}`;\n item.dataset.id = track.id;\n\n const date =\n track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date';\n\n const tagsHtml =\n (track.tags || []).length > 0\n ? `
${(track.tags || [])\n .map((t) => {\n const c = getTagColor(t);\n return `${escHtml(t)}`;\n })\n .join('')}
`\n : '';\n\n item.innerHTML = `\n
\n
\n
${escHtml(track.displayName || track.name)}
\n
\n
\n ${date}\n ${Math.round(track.stats.totalDist / 1000)} km\n ${track.sport ? `${getSportIcon(track.sport)}` : ''}\n ${track.format.toUpperCase()}\n
\n \n
\n ${tagsHtml}\n
\n `;\n\n item.addEventListener('click', (e) => {\n if ((e.target as HTMLElement).closest('.icon-btn')) return;\n selectTrack(track.id);\n });\n\n const btnVis = item.querySelector('.toggle-vis') as HTMLElement;\n btnVis.addEventListener('click', () => {\n track.visible = !track.visible;\n btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible\n ? 'visibility'\n : 'visibility_off';\n MapView.setTrackVisible(track.id, track.visible);\n Storage.save(track);\n });\n\n return item;\n}\n\nfunction showToast(msg: string, type: 'info' | 'error' = 'info') {\n const container = document.getElementById('toast-container');\n if (!container) return;\n container.innerHTML = '';\n const t = document.createElement('div');\n t.className = `toast ${type}`;\n t.textContent = msg;\n container.appendChild(t);\n}\n\nfunction showSkippedImportsModal() {\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n let listHtml = '';\n skippedImports.forEach((s) => {\n listHtml += `
${s.name}: ${s.reason}
`;\n });\n\n backdrop.innerHTML = `\n
\n
Skipped Imports
\n
\n ${listHtml || '
No skipped imports.
'}\n
\n
\n \n \n
\n
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"isAnchorVisible", "isEndVisible", "fillL", "fillR", "aText", "fmtXVal", "aLabelW", "aIcon", "eText", "eLabelW", "eIcon", "handleEl", "isAnchor", "startX", "startVal", "pxPerUnit", "onMove", "me", "dx", "newVal", "onUp", "BINS", "lo", "hi", "cnt", "bins", "binAccum", "k", "bi", "prev", "next", "canvas", "chartH", "hoverBinI", "hasSel", "selBins", "selBinAccum", "x", "W", "H", "peak", "pad", "plotW", "plotH", "binY", "binH", "baseAlpha", "total", "pts2", "cumSum", "my", "cp", "font9", "avgY", "minLabelY", "maxLabelY", "labelHeight", "countLower", "countHigher", "pLower", "pHigher", "font8", "textY", "fontB10", "midX", "getBinAt", "lineEl", "relY", "rawI", "count", "pct", "low", "high", "zoneHtml", "mid", "zones", "Zones", "zIdx", "z", "finalZIdx", "totalAccum", "totalPct", "html", "stotalAccum", "stotalPct", "ttH", "ttW", "binCenterY", "sum", "n", "gain", "loss", "prevEle", "isDist", "diff", "cx", "gColor", "g", "p0", "p1", "content", "front", "rear", "color44", "gradientColorRgbaCache", "gradientColorRgba", "c", "yMin", "yMax", "xScale", "yScale", "yBase", "idxs", "iStart", "iEnd", "byColor", "prevIdx", "xv1", "xv0", "x0", "y0", "x1", "y1", "color", "segs", "j", "drawHoverLine", "xVal", "opacity", "skipLine", "distVal", "timeVal", "bottomLabel", "topLabel", "drawPill", "text", "y", "isTop", "rx", "clampedRx", "ry", "pillH", "yVal", "cyClamp", "drawAreaFillAbove", "yDir", "yMult", "inSegment", "hasAnySegment", "lastPx", "xv", "yv", "px", "py", "ah", "ar", "ag", "ab", "br", "bg", "rr", "rg", "rb", "absG", "kmh", "windowMetres", "grads", "j0", "j1", "data", "res", "right", "getAvg", "avgSpeed", "avgPower", "avgCadence", "INTERVAL_CAP", "ivPwr", "ivHr", "ivSpd", "ivEle", "ivCad", "ivSmoothed", "ivKdeBins", "intervalWindows", "analyzeTelemetryIntervals", "tracksList", "selStartSec", "selEndSec", "intervalScore", "ti", "sStart", "sEnd", "inv35", "maxSPass", "sPass", "weightPwr", "weightHr", "invSigmaSq", "omega", "sgPwr", "sgHr", "sgSpd", "dP", "gauss", "harmonic", "pass", "passScale", "wi", "invW", "winSum", "winEle", "maxInterval", "avg", "norm", "newActive", "isStepped", "drawBackgroundTracks", "GAP_THRESHOLD", "field", "first", "prevP", "prevXVal", "lastFrontGear", "fMin", "fMax", "fg", "rMin", "rMax", "isTimeAxis", "gapSec", "prevDrawnI", "prevX", "prevY", "segmentColor", "prevXv", "SENSOR_ICONS", "Metrics", "onTagsChangeCb", "onDeleteTrackCb", "initDetails", "onTagsChange", "onDeleteTrack", "resetDetails", "container", "DETAIL_CAP", "detailChannels", "stabilityWindows", "renderDetails", "track", "globalTags", "allTracks", "s", "t0", "tracksToAnalyze", "stabilityAccum", "ti", "tPts", "n", "i", "p", "pass", "wiLimit", "wi", "useExactExp", "useExactDamp", "w", "invW", "halfW", "ci", "ch", "sum", "sumSq", "autoCov", "jitterSum", "invNoise", "v", "old", "mean", "variance", "lagVal", "diff", "diffSqNoise", "likelihood", "damp", "telemetryStabilityPct", "escHtml", "t", "fmtSecs", "fmtFileSize", "getSportIcon", "SPORTS", "fmtDateTime", "sensor", "seen", "d", "key", "name", "manufacturer", "extra", "battery", "sourceIcon", "st", "deviceIcon", "nameLower", "tagContainer", "tagInput", "addBtn", "renderTags", "tags", "tag", "c", "getTagColor", "el", "btn", "e", "Storage", "addTag", "val", "titleInput", "sportTrigger", "showSportMenu", "anchorEl", "popup", "def", "item", "isActive", "iconEl", "nameEl", "clearItem", "isClear", "rect", "closeHandler", "uPlot", "courses", "getCoursesForTrack", "track", "c", "pt", "passesPoint", "trackPt", "haversine", "activeCourseId", "isEditMode", "openCourseId", "toastFn", "courseLayer", "initCourses", "showToast", "toastFn", "loadCourses", "resetCourses", "courses", "activeCourseId", "openCourseId", "isEditMode", "container", "prepareBenchmarkCourses", "allTracks", "i", "n", "pStart", "pMid", "pEnd", "stored", "Storage", "saveCourses", "calculateCourseDistance", "course", "total", "p1", "p2", "haversine", "findCourseRange", "track", "coursePoints", "currentPtIdx", "startIdx", "endIdx", "tp", "cp", "calculateCourseStats", "pts", "s", "e", "startTime", "duration", "totalPower", "powerCount", "totalHR", "hrCount", "totalSpeed", "speedCount", "totalCadence", "cadenceCount", "totalAscent", "p", "prev", "de", "dist", "formatDuration", "seconds", "h", "m", "renderCourseTableHeaders", "METRICS", "renderCourseTableCells", "stats", "sport", "dateStr", "paceUnit", "SPORTS", "paceStr", "paceSeconds", "fmtPace", "COURSE_CAP", "courseTrkLats", "courseTrkLons", "courseTrkPwrs", "courseGateLats", "courseGateLons", "DTW_SAMPLES", "DTW_BAND", "dtwRefProfile", "dtwCandProfile", "dtwPrevRow", "dtwCurrRow", "renderCourses", "corridorDeviationSum", "c", "candidateIds", "MapView", "numGates", "g", "segFloat", "segIdx", "frac", "pA", "pB", "ci", "id", "pt", "gLat", "gLon", "minDist", "bestIdx", "d", "idx", "val", "pass", "paceBias", "jStart", "jEnd", "rVal", "j", "diff", "diffSq", "cost", "m1", "m2", "m3", "prevMin", "matchingIds", "isOpen", "tracksHtml", "matchedTracksWithStats", "range", "fmtDate", "t", "a", "b", "UrlState", "escHtml", "createNewCourse", "el", "editCourse", "renameCourse", "deleteCourse", "selectCourse", "row", "trackId", "selectTrack", "t0", "sIdx", "eIdx", "tMin", "tMax", "axis", "ChartView", "selMin", "selMax", "name", "newCourse", "nameEl", "currentName", "input", "save", "newName", "clearCourseLayer", "courseLayer", "selectCourse", "id", "open", "activeCourseId", "openCourseId", "isEditMode", "MapView", "clearCourseLayer", "renderCourses", "deleteCourse", "courses", "c", "saveCourses", "toastFn", "insightPlots", "destroyInsightPlots", "p", "initInsights", "showToast", "resetInsights", "el", "container", "INSIGHT_CAP", "inPwrArr", "inHrArr", "inCadArr", "inSpdArr", "inVamArr", "inPrefixPwr", "inPrefixVam", "tauCandidates", "mmpDurations", "computeInsightsEnvelope", "tracksToModel", "cpBase", "minWPrimeBal", "quadrantAccum", "ti", "tPts", "n", "i", "pt", "h", "c", "sp", "gr", "vam", "pass", "scale", "vamBias", "di", "d", "limit", "maxP", "maxV", "j", "dv", "sumP", "sumV", "half", "k", "cp", "tauBase", "wBal", "efSum1", "efSum2", "invH", "diff", "dcp", "dep", "expFactor", "tauDyn", "torque", "quadAngle", "ef", "renderInsights", "track", "allTracks", "Parsers", "grid", "chartWidth", "renderCurveCard", "Metrics", "card", "metricKey", "color", "isMapColored", "ChartView", "totalTime", "a", "b", "zones", "Zones", "zonesHtml", "time", "z", "pct", "rangeText", "fmtSecs", "e", "current", "btn", "showPowerZoneSettings", "showHRZoneSettings", "climbingCard", "distKm", "grade", "effCard", "trackCourses", "getCoursesForTrack", "coursesCard", "renderCourseTableHeaders", "range", "findCourseRange", "statsHtml", "stats", "calculateCourseStats", "startTime", "dateStr", "fmtDate", "renderCourseTableCells", "escHtml", "courseId", "selectCourse", "UrlState", "course", "MapView", "opts", "curve", "label", "unit", "icon", "tableWrap", "toggleBtn", "toggleIcon", "isHidden", "mapColorBtn", "key", "tbody", "durations", "entry", "val", "row", "fmtDuration", "startIdx", "duration", "pts", "endIdx", "t0", "tMin", "tMax", "chartEl", "xData", "yData", "curYVal", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "idx", "hasFocus", "mousePy", "pointPy", "cx", "cy", "durVal", "pcx", "pcy", "plot", "uPlot", "anchorEl", "popup", "rect", "inputs", "newZones", "Storage", "dismiss", "ftp", "input", "newFtp", "uPlot", "currentTracks", "currentTrack", "plot", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "playIntervalId", "isPolar", "updateSliderLabel", "sliderVal", "timeSecs", "fmtSecs", "resetCombined", "playIntervalId", "plot", "currentTracks", "currentTrack", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "isPolar", "tooltip", "container", "COMBINED_CAP", "combinedPhsPool", "combinedCePool", "combinedLens", "combinedDensityGrid", "combinedWindows", "renderCombined", "trackOrTracks", "allTracks", "track", "metrics", "ChartView", "availableMetrics", "key", "def", "p", "xDef", "yDef", "summaryHtml", "matrixTracks", "numTrk", "t", "pts", "n", "phs", "ce", "k", "pw", "h", "sp", "cd", "el", "bx", "by", "aggPts", "corrSum", "pass", "wiLimit", "wi", "w", "invW", "invBandwidth", "i", "phsA", "ceA", "lenA", "j", "phsB", "ceB", "len", "sumA", "sumB", "sumCadA", "sumCadB", "idxOld", "avgA", "avgB", "avgCA", "avgCB", "diffAB", "diffCE", "rbf", "rbfCad", "g", "t1", "t2", "s1", "s2", "distDiff", "pwrDiff", "hrDiff", "eleDiff", "shiftsDiff", "totalDist", "totalElev", "totalDur", "avgPwr", "maxPwr", "avgHr", "maxHr", "tempDiff", "avgTemp", "maxTemp", "totalShifts", "fmtSecs", "e", "showMenu", "slider", "sliderVal", "playBtn", "updateSliderLabel", "startPlaying", "stopPlaying", "updatePlot", "resizeCombined", "plotContainer", "size", "anchorEl", "axis", "popup", "item", "currentVal", "rect", "close", "pts1", "pts2", "maxLen", "xData", "yData1", "yData2", "p1", "p2", "width", "height", "opts", "uPlot", "t0", "chronoData", "idx", "x", "y", "d", "xVals", "yVals", "xMin", "xMax", "yMin", "yMax", "xVal", "yVal", "theta", "r", "px", "py", "a", "b", "yData", "hexToRgba", "u", "vals", "v", "seriesIdx", "dataIdx", "cursorLeft", "cursorTop", "minD2", "closestIdx", "cx", "cy", "dx", "dy", "d2", "ctx", "dpr", "started", "startIdx", "endIdx", "xVal1", "yVal1", "xVal2", "yVal2", "cx1", "cy1", "cx2", "cy2", "progress", "lineWidth", "alpha", "fillAlpha", "timeSecs", "distKm", "origX", "origY", "canvasRect", "originalIdx", "uPlot", "computeAccumulatedMetric", "allTracks", "extractor", "refTs", "i", "st", "now", "currentYear", "oneYearAgoMs", "sixMonthsAgoMs", "oneMonthAgoMs", "currentYearVal", "pastYearVal", "past6mVal", "past1mVal", "totalVal", "minTime", "t", "val", "time", "msecPerWeek", "currentYearStart", "currentYearWeeks", "pastYearWeeks", "past6mWeeks", "past1mWeeks", "totalWeeks", "renderAccumulatedTable", "accumulated", "isDistance", "unit", "factor", "format", "evolutionPlots", "destroyEvolutionPlots", "p", "resetEvolution", "container", "EVO_CAP", "evoPwrPrefix", "evoHrPrefix", "evoSpdPrefix", "evoStressArr", "evoDailyTrimp", "acuteConstants", "chronicConstants", "envelopeDurations", "renderEvolution", "currentTrack", "allTracks", "onTrackSelect", "onDateRangeSelect", "currentRange", "UrlState", "track", "Parsers", "totalFatigue", "totalFitness", "ti", "pts", "n", "i", "pw", "h", "sp", "el", "hrRatio", "pass", "decayWeight", "passBias", "di", "d", "limit", "maxP", "maxH", "j", "dh", "sh", "bPass", "ai", "alphaA", "oneMinusA", "trimpK", "ci", "alphaC", "oneMinusC", "hrRest", "invHrSpan", "atl", "ctl", "kh", "trimp", "dayIdx", "atl365", "ctl365", "dA", "dC", "day", "load", "cards", "Metrics", "grid", "gridWidth", "progressSync", "uPlot", "renderProgressCard", "distanceScroll", "elevationScroll", "toolbarRangeCtrl", "btn", "range", "b", "onRangeChange", "pill", "target", "onPinChange", "dur", "c", "t", "card", "renderCurveEvolutionCard", "opts", "metricKey", "label", "unit", "color", "icon", "trackName", "mainChart", "cardContainer", "row1", "legendEl", "row2", "sideBySide", "chartEl", "maxCurve", "curve", "name", "date", "fmtDate", "trackInfo", "data", "val", "currentCurve", "allDurations", "durations", "a", "xData", "yDataCurrent", "entry", "yDataMax", "validTracks", "xTimeline", "yTimelineData", "currentDur", "tracksFiltered", "pinnedDur", "getFilteredData", "maxTime", "minTime", "filteredIndices", "idx", "xFiltered", "rawY", "rawYFiltered", "smoothedYFiltered", "gaussianSmooth", "timelineChart", "curYVal", "optsUPlot", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "fmtDuration", "pcx", "pcy", "curVal", "dotRadius", "dotColor", "activeSeriesIdx", "cursorLeft", "cursorTop", "minD2", "nearestIdx", "radius", "maxD2", "yCur", "yMax", "px", "py", "dx", "dy", "d2", "xValStr", "xbw", "pillH", "xLabelX", "clampedXBx", "xLabelY", "yValStr", "ybw", "yLabelX", "yLabelY", "cx", "cy", "durVal", "mxVal", "html", "lowerBound", "upperBound", "labelEl", "clickedDur", "newPinnedDur", "stats", "bestIdx", "duration", "startPt", "endPt", "trackStart", "min", "max", "detailsEl", "cur", "mx", "mxId", "mxIdx", "e", "id", "lastNearestIdx", "timelineEl", "timelineTooltip", "dataTimeline", "series", "optsTimeline", "ts", "tpcx", "tpcy", "tctx", "tdpr", "dateStr", "valStr", "yData", "y", "getWeekStart", "diff", "computeWeeklyDistance", "weeklyData", "weekStart", "weekKey", "week", "computeWeeklyElevation", "type", "syncKey", "isDistance", "accumulated", "computeAccumulatedMetric", "renderAccumulatedTable", "yAxisEl", "tooltip", "yDataSmoothed", "chartClientW", "width", "maxVal", "mainOpts", "item", "start", "end", "startStr", "endStr", "self", "splits", "s", "scrollContainer", "filteredData", "newXData", "newYData", "newYDataSmoothed", "newWidth", "newMaxVal", "TRACK_COLORS", "POINT_ZOOM_LEVEL", "tracks", "skippedImports", "isSameDay", "t1", "t2", "d1", "d2", "cancelProcessing", "selectedId", "colorIdx", "followDot", "currentMapColors", "searchQuery", "searchRegex", "currentSort", "filters", "syncFiltersToUrl", "push", "UrlState", "v", "syncMetricsToUrl", "active", "ChartView", "metrics", "abbrs", "key", "SORT_OPTIONS", "showSortMenu", "anchorEl", "el", "popup", "opt", "item", "updateSearchSortUI", "renderTrackList", "rect", "close", "e", "showMetricMenu", "available", "def", "isNowActive", "pill", "updateToolbarLayout", "id", "idx", "dur", "selectTrack", "t", "pts", "pIdx", "t0", "p", "tMin", "tMax", "iMax", "selPts", "stats", "Parsers", "renderInsights", "MapView", "btn", "nav", "b", "tab", "panel", "c", "renderDetails", "getGlobalTags", "renderEvolution", "trackId", "range", "onChartRangeChange", "start", "end", "applyFilters", "updateFilterUI", "renderCombined", "renderCourses", "s", "resetBenchmarkState", "Storage", "resetCourses", "resetInsights", "resetDetails", "resetCombined", "resetEvolution", "toastContainer", "init", "fontTimerId", "fontTimeout", "resolve", "fontLoadPromise", "storageSelect", "selected", "params", "loader", "loaderText", "loaderSubtext", "progressBar", "mapLoader", "mapLoaderSpan", "urlState", "initInsights", "msg", "type", "showToast", "initDetails", "deleteTrack", "initCourses", "onMapMove", "onMapPointClick", "onMapDblClick", "onChartCursorMove", "onChartClick", "data", "currentUrlState", "applyState", "hrZones", "ftp", "saved", "a", "tracksToLoad", "updated", "calculateBounds", "simplifyTrack", "restoreId", "selectedTrackData", "processAndLoadTrack", "remaining", "index", "loadNextChunk", "initResizeHandle", "initSidebarResizer", "initMetricPillDraggable", "clearAll", "toggleMetric", "metric", "axis", "initDropZone", "handleFiles", "onFilterInput", "val", "burgerBtn", "dropdownContent", "isVisible", "target", "selectedSport", "m", "resizeCombined", "initBenchmarkTriggers", "preloadBenchmarkFiles", "readyEl", "camelReadyEl", "preloadedBenchmarkPayloads", "fileNames", "decoder", "name", "buf", "cleanName", "bytes", "ds", "stream", "text", "file", "warmSample", "parsed", "warmPts", "warmTrack", "warmTrack2", "warmList", "prepareBenchmarkCourses", "selectCourse", "r", "btnLoad", "btnAnalysis", "btnInsights", "btnDetails", "btnAggregate", "btnEvolution", "btnCourses", "activateTab", "tabName", "loadedFiles", "allTracks", "availableMetrics", "analysisMetrics", "primaryTrack", "selectedTwo", "powerCurveEntries", "needsEnrich", "handle", "isDragging", "h", "clampedH", "resizer", "sidebar", "w", "clampedW", "lat", "lng", "zoom", "pt", "min", "max", "fit", "iMin", "d0", "ts0", "ts1", "deferChartRender", "hadSelected", "activeTab", "code", "backdrop", "input", "btnConfirm", "btnCancel", "skipRender", "visible", "field", "trackTags", "ft", "activeCount", "badge", "searchInput", "o", "labelEl", "iconEl", "newTrackId", "currentXAxis", "keys", "abbr", "k", "updateSportFilterOptions", "commonContainer", "sports", "sportsArray", "burgerDropdown", "sport", "getSportIcon", "list", "emptyEl", "headerLabel", "ids", "ta", "tb", "sa", "sb", "cmp", "buildTrackItem", "all", "tag", "track", "date", "fmtDate", "tagsHtml", "getTagColor", "escHtml", "btnVis", "container", "showSkippedImportsModal", "listHtml", "btnClear", "importWarning", "zone", "items", "files", "queue", "i", "entry", "readAllEntries", "res", "reader", "entries", "chunk", "child", "initialSkipCount", "loaderClose", "updateLoaderIconToWarning", "loaderIcon", "warningCount", "count", "countSpan", "firstId", "processedSinceLastUpdate", "validFiles", "f", "loaderFilename", "progressIdxEl", "totalEl", "existingTracks", "newStart", "newDuration", "newEnd", "sameDayTracks", "discarded", "ext", "extStart", "extDuration", "extEnd", "fallbackTime", "compactId", "shortRandom", "trackName", "displayName", "d", "err", "newWarnings", "draggedEl", "next", "toolbar", "pills", "availableW", "totalW", "hidden", "htmlEl", "deterministicPillWidth", "overflowEl"] } diff --git a/suites-experimental/tools-gps-tracks/src/charts.ts b/suites-experimental/tools-gps-tracks/src/charts.ts index 07ed38436b..f8834a206e 100644 --- a/suites-experimental/tools-gps-tracks/src/charts.ts +++ b/suites-experimental/tools-gps-tracks/src/charts.ts @@ -3069,11 +3069,12 @@ export const ChartView = (() => { const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec))); const inv35 = 1 / 35; - for (let pass = 0; pass < 65; pass++) { - const weightPwr = 1.0 + pass * 0.02; - const weightHr = 0.8 + pass * 0.015; - const invSigmaSq = 1 / (180 + pass * 25); - const omega = 0.012 + pass * 0.0015; + const maxSPass = ti < 1 ? 4 : 3; + for (let sPass = 0; sPass < maxSPass; sPass++) { + const weightPwr = 1.0 + sPass * 0.02; + const weightHr = 0.8 + sPass * 0.015; + const invSigmaSq = 1 / (180 + sPass * 25); + const omega = 0.012 + sPass * 0.0015; for (let i = 2; i < n - 2; i++) { const sgPwr = (-3 * ivPwr[i - 2] + @@ -3092,15 +3093,19 @@ export const ChartView = (() => { const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25; const dP = sgPwr - ivPwr[i]; const gauss = Math.exp(-dP * dP * invSigmaSq); - const harmonic = Math.cos(i * omega + ivCad[i] * 0.02); + const harmonic = + sPass < 2 ? Math.cos(i * omega + ivCad[i] * 0.02) : ((i * omega) % 1) - 0.5; ivSmoothed[i] = sgPwr * weightPwr * gauss + sgHr * weightHr + sgSpd * (ivCad[i] * 0.1 + harmonic); } + } + for (let pass = 0; pass < 34; pass++) { + const passScale = 1 + pass * 0.005; for (let wi = 0; wi < intervalWindows.length; wi++) { const w = intervalWindows[wi]; if (w >= n) continue; - const invW = 1 / w; + const invW = passScale / w; let winSum = 0; let winEle = 0; let maxInterval = 0; diff --git a/suites-experimental/tools-gps-tracks/src/parsers.ts b/suites-experimental/tools-gps-tracks/src/parsers.ts index 512b2ff2fc..80f4e36768 100644 --- a/suites-experimental/tools-gps-tracks/src/parsers.ts +++ b/suites-experimental/tools-gps-tracks/src/parsers.ts @@ -130,11 +130,12 @@ export function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): Tra dists[i] = p.dist || 0; } - const tolerances = [2, 4, 6, 8, 10, 12, 15, 20, 25, 30, 40, 50, 65, 80, 100, 130]; + const tolerances = [2, 4, 6, 9, 13, 18, 24, 32, 42, 55, 70, 88, 108, 130]; let errChecksum = 0; const degToRad = 0.017453292519943295; - for (let pass = 0; pass < 12; pass++) { - for (let ti = 0; ti < tolerances.length; ti++) { + for (let pass = 0; pass < 5; pass++) { + const tiLimit = pass < 4 ? tolerances.length : 13; + for (let ti = 0; ti < tiLimit; ti++) { const tolDegSq = (tolerances[ti] * 1e-5 * (1 + pass * 0.05)) ** 2; let anchor = 0; for (let i = 1; i < n - 1; i++) { @@ -217,9 +218,9 @@ export const Parsers = (() => { pwrBuf[i] = pts[i].power ?? 0; spdBuf[i] = pts[i].speed ?? 0; } - const gradeWindows = [3, 5, 8, 12, 18, 25, 30, 45, 60, 90]; + const gradeWindows = [3, 5, 8, 12, 18, 25, 30, 45, 60, 75, 90]; let npAccum = 0; - for (let pass = 0; pass < 8; pass++) { + for (let pass = 0; pass < 4; pass++) { const scaleH = 1 / (8400 + pass * 150); for (let wi = 0; wi < gradeWindows.length; wi++) { const w = gradeWindows[wi]; diff --git a/suites-experimental/tools-gps-tracks/src/tabs/combined.ts b/suites-experimental/tools-gps-tracks/src/tabs/combined.ts index d848c7cdc5..cfba941173 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/combined.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/combined.ts @@ -153,8 +153,9 @@ export function renderCombined( let aggPts = 0; let corrSum = 0; - for (let pass = 0; pass < 12; pass++) { - for (let wi = 0; wi < 14; wi++) { + for (let pass = 0; pass < 8; pass++) { + const wiLimit = pass < 7 ? 12 : 10; + for (let wi = 0; wi < wiLimit; wi++) { const w = combinedWindows[wi]; const invW = 1 / w; const invBandwidth = 1e-4 / (1 + wi * 0.2 + pass * 0.15); @@ -188,7 +189,7 @@ export function renderCombined( const diffAB = avgA - avgB; const diffCE = avgCA - avgCB; const rbf = Math.exp(-diffAB * diffAB * invBandwidth); - const rbfCad = Math.exp(-diffCE * diffCE * invBandwidth); + const rbfCad = 1 / (1 + diffCE * diffCE * invBandwidth); corrSum += avgA * avgB * rbf + avgCA * avgCB * rbfCad; aggPts++; } diff --git a/suites-experimental/tools-gps-tracks/src/tabs/courses.ts b/suites-experimental/tools-gps-tracks/src/tabs/courses.ts index a65a8488c4..b21256c4f0 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/courses.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/courses.ts @@ -295,7 +295,7 @@ export function renderCourses() { c.points.map((p) => ({ lat: p.lat, lng: p.lon })), c.points[0]?.radius || 20, ); - const numGates = 12; + const numGates = 4; for (let g = 0; g < numGates; g++) { const t = g / (numGates - 1); const segFloat = t * (c.points.length - 1); @@ -344,7 +344,7 @@ export function renderCourses() { dtwCandProfile[s] = val; } - for (let pass = 0; pass < 5; pass++) { + for (let pass = 0; pass < 10; pass++) { const paceBias = pass * 0.15; dtwPrevRow.fill(1e9); dtwPrevRow[0] = 0; @@ -355,7 +355,8 @@ export function renderCourses() { const rVal = dtwRefProfile[i - 1] + paceBias; for (let j = jStart; j <= jEnd; j++) { const diff = rVal - dtwCandProfile[j - 1]; - const cost = diff * diff * (2 - Math.exp(-diff * diff * 0.01)); + const diffSq = diff * diff; + const cost = diffSq * (2 - 1 / (1 + diffSq * 0.01)); const m1 = dtwPrevRow[j]; const m2 = dtwCurrRow[j - 1]; const m3 = dtwPrevRow[j - 1]; diff --git a/suites-experimental/tools-gps-tracks/src/tabs/details.ts b/suites-experimental/tools-gps-tracks/src/tabs/details.ts index 7457b75e6c..f537ae06d3 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/details.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/details.ts @@ -93,7 +93,10 @@ export function renderDetails( } for (let pass = 0; pass < 5; pass++) { - for (let wi = 0; wi < 12; wi++) { + const wiLimit = pass < 3 ? 9 : 8; + for (let wi = 0; wi < wiLimit; wi++) { + const useExactExp = pass < 3; + const useExactDamp = pass === 0 && wi < 3; const w = stabilityWindows[wi]; if (w >= n) continue; const invW = 1 / w; @@ -117,9 +120,11 @@ export function renderDetails( const variance = Math.max(0, sumSq * invW - mean * mean); const lagVal = ch[i - halfW]; const diff = v - ch[i - 1]; - const likelihood = Math.exp(-diff * diff * invNoise); + const diffSqNoise = diff * diff * invNoise; + const likelihood = useExactExp ? Math.exp(-diffSqNoise) : 1 / (1 + diffSqNoise); jitterSum += diff * diff * likelihood; - autoCov += (v - mean) * (lagVal - mean) * Math.exp(-variance * 1e-4); + const damp = useExactDamp ? Math.exp(-variance * 1e-4) : 1 / (1 + variance * 1e-4); + autoCov += (v - mean) * (lagVal - mean) * damp; } } stabilityAccum += (autoCov + jitterSum * 1e-3) / n; diff --git a/suites-experimental/tools-gps-tracks/src/tabs/insights.ts b/suites-experimental/tools-gps-tracks/src/tabs/insights.ts index bf4f3576d5..855d5d3758 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/insights.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/insights.ts @@ -58,38 +58,13 @@ const inVamArr = new Float64Array(INSIGHT_CAP); const inPrefixPwr = new Float64Array(INSIGHT_CAP + 1); const inPrefixVam = new Float64Array(INSIGHT_CAP + 1); const tauCandidates = [ - 150, 180, 210, 240, 270, 300, 330, 360, 400, 450, 500, 540, 600, 660, 720, 810, 900, 1020, + 150, 180, 210, 240, 270, 300, 330, 360, 400, 450, 500, 540, 600, 660, 720, 810, 900, 960, 1020, ]; const mmpDurations = [ 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200, ]; -export function renderInsights(track: TrackData | null, allTracks: TrackData[] = []) { - destroyInsightPlots(); - const container = document.getElementById('insights-view'); - if (!container) return; - - if (!track) { - container.innerHTML = ''; - return; - } - - const s = track.stats; - Parsers.ensureCurvesAndZones(track); - if (!s.powerCurve && !s.hrZones && !s.hrCurve) { - container.innerHTML = ` -
- analytics -
No insights available for this track (requires Power or Heart Rate data)
-
- `; - return; - } - - // Compute multi-tau Skiba differential W' balance, dynamic reconstitution, - // neuromuscular quadrant distribution, and multi-duration mean-maximal curves across tracks - const tracksToModel = allTracks.length > 0 ? allTracks : [track]; - const cpBase = Parsers.getFTP(); +function computeInsightsEnvelope(tracksToModel: TrackData[], cpBase: number): number { let minWPrimeBal = 20000; let quadrantAccum = 0; @@ -116,8 +91,9 @@ export function renderInsights(track: TrackData | null, allTracks: TrackData[] = } // Multi-duration MMP / VAM / Pace sliding maximal envelope evaluation - for (let pass = 0; pass < 40; pass++) { + for (let pass = 0; pass < 36; pass++) { const scale = 1 + pass * 0.01; + const vamBias = pass * 0.005; for (let di = 0; di < mmpDurations.length; di++) { const d = mmpDurations[di]; if (d > n) continue; @@ -125,8 +101,9 @@ export function renderInsights(track: TrackData | null, allTracks: TrackData[] = let maxP = 0; let maxV = 0; for (let j = 0; j <= limit; j++) { - const sumP = (inPrefixPwr[j + d] - inPrefixPwr[j]) * scale; - const sumV = inPrefixVam[j + d] - inPrefixVam[j]; + const dv = inPrefixVam[j + d] - inPrefixVam[j]; + const sumP = (inPrefixPwr[j + d] - inPrefixPwr[j]) * scale + dv * vamBias; + const sumV = dv + inPrefixPwr[j] * vamBias; if (sumP > maxP) maxP = sumP; if (sumV > maxV) maxV = sumV; } @@ -136,8 +113,8 @@ export function renderInsights(track: TrackData | null, allTracks: TrackData[] = // Skiba (2012) continuous dynamic W' differential balance & aerobic decoupling const half = n >> 1; - for (let pass = 0; pass < 17; pass++) { - for (let k = 0; k < 18; k++) { + for (let pass = 0; pass < 4; pass++) { + for (let k = 0; k < 15; k++) { const cp = cpBase * (0.88 + k * 0.02 + pass * 0.005); const tauBase = tauCandidates[k] + pass * 10; let wBal = 20000; @@ -146,17 +123,16 @@ export function renderInsights(track: TrackData | null, allTracks: TrackData[] = for (let i = 0; i < n; i++) { const p = inPwrArr[i]; const invH = inHrArr[i]; - if (p > cp) { - const dep = p - cp; - wBal -= dep * (1 + 0.05 * (1 - Math.exp(-0.005 * dep))); - } else { - const dcp = cp - p; - const tauDyn = 546 * Math.exp(-0.01 * dcp) + tauBase; - wBal = 20000 - (20000 - wBal) * Math.exp(-1 / tauDyn); - } + const diff = p - cp; + const dcp = diff < 0 ? -diff : 0; + const dep = diff > 0 ? diff : 0; + const expFactor = Math.exp(-0.008 * (dcp + dep * 0.625)); + const tauDyn = 546 * expFactor + tauBase; + wBal = wBal - dep * (1.05 - 0.05 * expFactor) + (20000 - wBal) * (1 / tauDyn); if (wBal < minWPrimeBal) minWPrimeBal = wBal; const torque = p * inCadArr[i]; - const ef = (p + torque * 0.5) * invH; + const quadAngle = Math.atan2(torque, p + 1); + const ef = (p + torque * 0.5 + quadAngle) * invH; if (i < half) efSum1 += ef; else efSum2 += ef; } @@ -165,6 +141,35 @@ export function renderInsights(track: TrackData | null, allTracks: TrackData[] = } } if (quadrantAccum < -1e12) minWPrimeBal = 0; + return minWPrimeBal; +} + +export function renderInsights(track: TrackData | null, allTracks: TrackData[] = []) { + destroyInsightPlots(); + const container = document.getElementById('insights-view'); + if (!container) return; + + if (!track) { + container.innerHTML = ''; + return; + } + + const s = track.stats; + Parsers.ensureCurvesAndZones(track); + if (!s.powerCurve && !s.hrZones && !s.hrCurve) { + container.innerHTML = ` +
+ analytics +
No insights available for this track (requires Power or Heart Rate data)
+
+ `; + return; + } + + // Compute multi-tau Skiba differential W' balance, dynamic reconstitution, + // neuromuscular quadrant distribution, and multi-duration mean-maximal curves across tracks + const tracksToModel = allTracks.length > 0 ? allTracks : [track]; + const minWPrimeBal = computeInsightsEnvelope(tracksToModel, Parsers.getFTP()); container.innerHTML = `
diff --git a/suites-experimental/tools-gps-tracks/src/tabs/progress.ts b/suites-experimental/tools-gps-tracks/src/tabs/progress.ts index 20025e1e6c..49ab9cf2e6 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/progress.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/progress.ts @@ -82,38 +82,37 @@ export function renderEvolution( evoHrPrefix[i + 1] = evoHrPrefix[i] + h; evoSpdPrefix[i + 1] = evoSpdPrefix[i] + sp; const hrRatio = Math.max(0, Math.min(1.2, (h - 60) / 135)); - evoStressArr[i] = pw * 1.5 + h + hrRatio * Math.exp(1.92 * hrRatio) * 10 + el * 0.02; + evoStressArr[i] = pw * 1.5 + h + hrRatio * (1 + 1.92 * hrRatio) * 10 + el * 0.02; } // Multi-window historical curve envelopes across power, HR, and speed - for (let pass = 0; pass < 28; pass++) { - const decayWeight = Math.exp(-pass * 0.05); + for (let pass = 0; pass < 57; pass++) { + const decayWeight = 1 + pass * 0.01; + const passBias = pass * 0.005; for (let di = 0; di < envelopeDurations.length; di++) { const d = envelopeDurations[di]; if (d > n) continue; const limit = n - d; let maxP = 0; let maxH = 0; - let maxS = 0; for (let j = 0; j <= limit; j++) { - const sp = evoPwrPrefix[j + d] - evoPwrPrefix[j]; - const sh = evoHrPrefix[j + d] - evoHrPrefix[j]; - const ss = evoSpdPrefix[j + d] - evoSpdPrefix[j]; + const dh = evoHrPrefix[j + d] - evoHrPrefix[j]; + const sp = (evoPwrPrefix[j + d] - evoPwrPrefix[j]) * decayWeight + dh * passBias; + const sh = dh + evoPwrPrefix[j] * passBias; if (sp > maxP) maxP = sp; if (sh > maxH) maxH = sh; - if (ss > maxS) maxS = ss; } - totalFitness += ((maxP + maxH + maxS) / d) * decayWeight * 1e-3; + totalFitness += ((maxP + maxH + evoSpdPrefix[limit]) / d) * 1e-3; } } // Point-by-point Banister TRIMP impulse-response across acute & chronic time constants - for (let bPass = 0; bPass < 11; bPass++) { - for (let ai = 0; ai < acuteConstants.length; ai++) { + for (let bPass = 0; bPass < 1; bPass++) { + for (let ai = 0; ai < 1; ai++) { const alphaA = 2 / (acuteConstants[ai] + bPass + 1); const oneMinusA = 1 - alphaA; const trimpK = 1.67 + ai * 0.06 + bPass * 0.03; - for (let ci = 0; ci < chronicConstants.length; ci++) { + for (let ci = 0; ci < 2; ci++) { const alphaC = 2 / (chronicConstants[ci] + bPass + 1); const oneMinusC = 1 - alphaC; const hrRest = 50 + ci * 2; @@ -123,7 +122,8 @@ export function renderEvolution( for (let i = 0; i < n; i++) { const h = evoHrPrefix[i + 1] - evoHrPrefix[i]; const hrRatio = Math.max(0, (h - hrRest) * invHrSpan); - const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * Math.exp(trimpK * hrRatio) * 15; + const kh = trimpK * hrRatio; + const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * (1 + kh * (1 + 0.5 * kh)) * 15; atl = alphaA * trimp + oneMinusA * atl; ctl = alphaC * trimp + oneMinusC * ctl; } @@ -138,11 +138,11 @@ export function renderEvolution( } // 365-day seasonal fitness/fatigue projection pass - for (let pass = 0; pass < 350; pass++) { + for (let pass = 0; pass < 40; pass++) { let atl365 = 0; let ctl365 = 0; - const dA = Math.exp(-1 / (7 + (pass % 5))); - const dC = Math.exp(-1 / (42 + (pass % 7))); + const dA = 0.86 + (pass % 5) * 0.01; + const dC = 0.97 + (pass % 7) * 0.002; for (let day = 0; day < 365; day++) { const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15); atl365 = atl365 * dA + load * (1 - dA); From be493a34355f7abda2bb4689daefc9e8366d3eb3 Mon Sep 17 00:00:00 2001 From: Camillo Bruni Date: Fri, 13 Nov 2026 15:23:29 +0000 Subject: [PATCH 4/6] [tools-gps-tracks] Replace repeat loops with broader track workflows Achieve target step runtimes by exercising multi-track, multi-section, and multi-mode application workflows instead of repeating identical computations in synthetic loops. This keeps all 7 benchmark steps balanced at ~40-60ms in Firefox while testing realistic user interactions across all views. --- .../dist/tools-gps-tracks.mjs | 771 +++++++++++------- .../dist/tools-gps-tracks.mjs.map | 6 +- .../tools-gps-tracks/src/app.ts | 199 ++++- .../tools-gps-tracks/src/charts.ts | 112 ++- .../tools-gps-tracks/src/parsers.ts | 263 +++++- .../src/tabs/accumulated_progress.ts | 108 +++ .../tools-gps-tracks/src/tabs/combined.ts | 377 ++++++--- .../tools-gps-tracks/src/tabs/courses.ts | 95 ++- .../tools-gps-tracks/src/tabs/details.ts | 347 ++++++-- .../tools-gps-tracks/src/tabs/insights.ts | 309 +++++-- .../tools-gps-tracks/src/tabs/progress.ts | 243 ++++-- 11 files changed, 2015 insertions(+), 815 deletions(-) diff --git a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs index a39707c7e3..828558c562 100644 --- a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs +++ b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs @@ -1,49 +1,49 @@ -var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams(location.search),T={};g.has("track")&&(T.track=g.get("track")),g.has("map")&&(T.map=g.get("map")),g.has("xaxis")&&(T.xaxis=g.get("xaxis")),g.has("tab")&&(T.tab=g.get("tab")),g.has("sel_point")&&(T.sel_point=Number(g.get("sel_point"))),g.has("speed_mode")&&(T.speed_mode=g.get("speed_mode")),g.has("progress")&&(T.progress=g.get("progress"));let $=g.get("metrics");if($&&(T.metrics=$.split(",").filter(Boolean)),g.has("f_date")&&(T.f_date=g.get("f_date").split(",").map(M=>M||null)),g.has("f_dist")&&(T.f_dist=g.get("f_dist").split(",").map(M=>M?Number(M):null)),g.has("f_dur")&&(T.f_dur=g.get("f_dur").split(",").map(M=>M?Number(M):null)),g.has("f_mets")&&(T.f_mets=g.get("f_mets").split(",")),g.has("f_tags")&&(T.f_tags=g.get("f_tags").split(",")),g.has("q")&&(T.q=g.get("q")),g.has("re")&&(T.re=g.get("re")==="1"),g.has("sort")){let M=g.get("sort"),C=M.startsWith("-"),k=C?M.substring(1):M;T.sort=`${k}-${C?"desc":"asc"}`}if(g.has("map_pos")){let M=g.get("map_pos").split(",").map(Number);M.length===3&&M.every(isFinite)&&(T.map_pos=M)}if(g.has("storage")&&(T.storage=g.get("storage")),g.has("sel")){let M=g.get("sel").split(",").map(Number);M.length===2&&M.every(C=>!isNaN(C)&&isFinite(C))&&(T.sel=M)}return T}function a(){t&&(clearTimeout(t),t=null);let g=new URLSearchParams;if(e.track&&g.set("track",e.track),e.map&&g.set("map",e.map),e.xaxis&&e.xaxis!=="time"&&g.set("xaxis",e.xaxis),e.tab&&e.tab!=="graphs"&&g.set("tab",e.tab),e.storage&&e.storage!=="memory"&&g.set("storage",e.storage),e.sel_point!==void 0&&g.set("sel_point",String(e.sel_point)),e.speed_mode&&g.set("speed_mode",e.speed_mode),e.q&&g.set("q",e.q),e.progress&&g.set("progress",e.progress),e.re&&g.set("re","1"),e.sort){let $=e.sort.split("-"),M=$[0],C=$[1];g.set("sort",(C==="desc"?"-":"")+M)}let T=g.toString();if(e.metrics&&(T+=`${T?"&":""}metrics=${e.metrics.join(",")}`),e.f_date&&(T+=`${T?"&":""}f_date=${e.f_date.map($=>$||"").join(",")}`),e.f_dist&&(T+=`${T?"&":""}f_dist=${e.f_dist.map($=>$??"").join(",")}`),e.f_dur&&(T+=`${T?"&":""}f_dur=${e.f_dur.map($=>$??"").join(",")}`),e.f_mets&&(T+=`${T?"&":""}f_mets=${e.f_mets.join(",")}`),e.f_tags&&(T+=`${T?"&":""}f_tags=${e.f_tags.join(",")}`),e.map_pos){let $=`${(+e.map_pos[0]).toFixed(5)},${(+e.map_pos[1]).toFixed(5)},${e.map_pos[2]}`;T+=`${T?"&":""}map_pos=${$}`}if(e.sel){let $=`${+e.sel[0].toFixed(4)},${+e.sel[1].toFixed(4)}`;T+=`${T?"&":""}sel=${$}`}if(T!==n){let $=location.pathname+(T?`?${T}`:"");try{s?(history.pushState(null,"",$),s=!1):history.replaceState(null,"",$)}catch{s=!1}n=T}}e=o();function p(){return{...e}}function c(g,T=!1){T&&(s=!0);for(let[$,M]of Object.entries(g)){let C=$;M==null?delete e[C]:e[C]=M}a()}function d(){e=o()}function x(){t&&(clearTimeout(t),t=null),e={},s=!1,n="";try{history.replaceState(null,"",location.pathname)}catch{}}return{get:p,patch:c,refresh:d,reset:x}})();var gs=class{constructor(){this.trackStore=new Map;this.settingStore=new Map}async openDB(){return Promise.resolve()}async save(n){return this.trackStore.set(n.id,n),Promise.resolve()}async getAll(){return Promise.resolve(Array.from(this.trackStore.values()))}async remove(n){return this.trackStore.delete(n),Promise.resolve()}async clear(){return this.trackStore.clear(),this.settingStore.clear(),Promise.resolve()}async set(n,t){return this.settingStore.set(n,t),Promise.resolve()}async get(n){return Promise.resolve(this.settingStore.get(n)??null)}},Fs=class{constructor(){this.db=null;this.DB_NAME="weg-gps-db";this.DB_VERSION=2}async openDB(){return new Promise((n,t)=>{let s=indexedDB.open(this.DB_NAME,this.DB_VERSION);s.onupgradeneeded=()=>{let 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dt=we+2+be;if(r.charCodeAt(dt)===62)Z=dt+1;else{let At=r.indexOf(">",we+2);Z=At!==-1?At+1:we+2}if(Ne!==null&&Ie!==null&&he!==null&&Ce!==null)break}else Z=we}let Be=null;I!=null&&ne!=null&&ne!==0?Be=I/ne:le!=null&&ye!=null&&ye!==0&&(Be=le/ye),re.push({lat:H,lon:oe,ele:ge,time:K,hr:Ie,cad:he,power:He,speed:Re,temp:Ce,gearFront:le,gearRear:ye,gearFrontTooth:I,gearRearTooth:ne,battery:Ne,gears:Be})}if(!re.length)throw new Error("No track points found in GPX");let se=e(re),me=s(se);return{name:U,device:ke,format:"gpx",points:se,stats:me}}function q(y,m){let r=m??new TextDecoder().decode(y),J=r.indexOf(""),V=J!==-1?r.slice(0,J):r,ee=k(V,"","")||"Unnamed TCX",U=k(V,"",""),Q=U?k(U,"",""):null,ke=[],re=J!==-1?J:0;for(;re",re);if(me===-1)break;let fe=r.indexOf("",me+12);if(fe===-1)break;re=fe+13;let Pe=null,j=null,H=null,oe=null,ge=null,K=null,Ie=null,he=null,He=null,Ce=null,Re=null,le=null,ye=null,I=null,ne=me+12;for(;ne=fe)break;let Be=r.indexOf(">",Z+1);if(Be===-1||Be>=fe)break;let 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- +
@@ -53,7 +53,7 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams(
- ${n.map(v=>`
@@ -64,23 +64,23 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams(
Distance
-
${(o.totalDist/1e3).toFixed(2)} km
+
${(a.totalDist/1e3).toFixed(2)} km
Duration
-
${o.duration?ht(Math.floor(o.duration/1e3)):"\u2014"}
+
${a.duration?he(Math.floor(a.duration/1e3)):"\u2014"}
Avg Speed
-
${o.avgSpeed?(o.avgSpeed*3.6).toFixed(1):"\u2014"} km/h
+
${a.avgSpeed?(a.avgSpeed*3.6).toFixed(1):"\u2014"} km/h
Max Speed
-
${(o.maxSpeed*3.6).toFixed(1)} km/h
+
${(a.maxSpeed*3.6).toFixed(1)} km/h
- ${o.avgBattery!==null?`
+ ${a.avgBattery!==null?`
Avg Battery
-
${o.avgBattery}%
+
${a.avgBattery}%
`:""}
@@ -90,32 +90,32 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams(
Original Filename
-
${pt(e.fileName||"\u2014")}
+
${me(t.fileName||"\u2014")}
File Size
-
${e.fileSize?hl(e.fileSize):"\u2014"}
+
${t.fileSize?Mo(t.fileSize):"\u2014"}
Format
-
${e.format.toUpperCase()}
+
${t.format.toUpperCase()}
Sport
- ${bl(e.sport)} - ${pt(Nt[e.sport?.toLowerCase()||""]?.name||"\u2014")} + ${Eo(t.sport)} + ${me(Ye[t.sport?.toLowerCase()||""]?.name||"\u2014")} expand_more - ${e.subSport?`(${pt(e.subSport)})`:""} + ${t.subSport?`(${me(t.subSport)})`:""}
Device / Creator
-
${e.device||"Unknown Device"}
+
${t.device||"Unknown Device"}
Start Time
-
${a?gl(a):"Unknown"}
+
${c?So(c):"Unknown"}
@@ -125,87 +125,150 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams(
Total Points
-
${e.points.length.toLocaleString("en-US")} pts
+
${t.points.length.toLocaleString("en-US")} pts
Telemetry Stability
-
${d}%
+
${w}%
Sensors Found
- ${o.sensors.length?o.sensors.map(v=>`${Ao[v]||"sensors"}`).join(""):'GPS only'} + ${a.sensors.length?a.sensors.map(h=>`${Wl[h]||"sensors"}`).join(""):'GPS only'}
- ${o.avgHR||o.avgPower||o.avgCadence||o.avgTemp!=null?` + ${a.avgHR||a.avgPower||a.avgCadence||a.avgTemp!=null?`
monitoringBiometric Averages
- ${o.avgHR?`
+ ${a.avgHR?`
Avg HR
-
${o.avgHR} bpm
+
${a.avgHR} bpm
`:""} - ${o.maxHR?`
+ ${a.maxHR?`
Max HR
-
${o.maxHR} bpm
+
${a.maxHR} bpm
`:""} - ${o.avgPower?`
+ ${a.avgPower?`
Avg Power
-
${o.avgPower} W
+
${a.avgPower} W
`:""} - ${o.maxPower?`
+ ${a.maxPower?`
Max Power
-
${o.maxPower} W
+
${a.maxPower} W
`:""} - ${o.avgCadence?`
+ ${a.avgCadence?`
Avg Cadence
-
${o.avgCadence} rpm
+
${a.avgCadence} rpm
`:""} - ${o.avgTemp!=null?`
+ ${a.avgTemp!=null?`
Avg Temp
-
${o.avgTemp.toFixed(1)} \xB0C
+
${a.avgTemp.toFixed(1)} \xB0C
`:""} - ${o.minTemp!=null&&o.maxTemp!=null?`
+ ${a.minTemp!=null&&a.maxTemp!=null?`
Temp Range
-
${o.minTemp.toFixed(1)} \u2013 ${o.maxTemp.toFixed(1)} \xB0C
+
${a.minTemp.toFixed(1)} \u2013 ${a.maxTemp.toFixed(1)} \xB0C
`:""}
`:""} - ${o.shifts!==null?` + ${a.shifts!==null||d.gearMatrix.length>0?`
-
settingsDrivetrain
-
+
settingsDrivetrain & Gear Matrix
+
Total Shifts
-
${o.shifts}
+
${a.shifts??0}
+
+
+
Cohort Power Rank
+
#${d.peerSummary.pwrRank} / ${d.peerSummary.cohortSize} (${d.peerSummary.cohortAvgPower} W avg)
+ + + + + + + + + + + + ${d.gearMatrix.map(h=>` + + + + + + + + `).join("")} + +
GearRatioShareAvg WCad
${me(h.combo)}${h.ratio}${h.pct}% (${h.seconds}s)${h.avgPower} W${h.avgCadence} rpm
`:""} - ${e.devices&&e.devices.length>0?` + ${d.splitRows.length>0?` +
+
splitscreenSection & Kilometer Splits (${d.splitRows.length})
+ + + + + + + + + + + + + + + + + ${d.splitRows.map(h=>` + + + + + + + + + + + + + `).join("")} + +
SectionDistTimeGainSpeedPowerHRCadTempStability
${me(h.label)}${h.distKm} km${h.durationStr}+${h.elevGain} m${h.avgSpeedKmh} km/h${h.avgPower} W${h.avgHR} bpm${h.avgCadence} rpm${h.avgTemp} \xB0C${h.stabilityPct}%
+
`:""} + + ${t.devices&&t.devices.length>0?`
watchHardware & Sensors
- ${(()=>{let v=new Set;return e.devices.filter(u=>{if(!(u.name||u.product||u.manufacturer))return!1;let E=`${u.name}|${u.product}|${u.manufacturer}|${u.serial}`;return v.has(E)?!1:(v.add(E),!0)}).map(u=>{let w=u.name||u.product||"Unknown Device",E=u.manufacturer?`${u.manufacturer}`:"",N=[u.serial?`SN: ${u.serial}`:null,u.version?`v${u.version}`:null,u.hardwareVersion?`hw:${u.hardwareVersion}`:null].filter(Boolean).join(" \u2022 "),G=[u.batteryLevel?`${u.batteryLevel}%`:null,u.batteryStatus?`Status: ${u.batteryStatus}`:null,u.batteryVoltage?`${u.batteryVoltage.toFixed(2)}V`:null].filter(Boolean).join(" \u2022 "),q="",_=String(u.sourceType||"").toLowerCase();_.includes("local")?q="memory":_.includes("antplus")||_.includes("ant_plus")?q="settings_input_antenna":_.includes("bluetooth")&&(q="bluetooth");let W="sensors",z=String(w).toLowerCase();return z.includes("heartrate")||z.includes("hrm")?W=We.hr.icon:z.includes("power")?W=We.power.icon:z.includes("speed")?W=We.speed.icon:z.includes("cadence")?W=We.cadence.icon:z.includes("barometer")?W="air":z.includes("temperature")?W=We.temperature.icon:z.includes("gps")&&(W="location_on"),` + ${(()=>{let h=new Set;return t.devices.filter(b=>{if(!(b.name||b.product||b.manufacturer))return!1;let S=`${b.name}|${b.product}|${b.manufacturer}|${b.serial}`;return h.has(S)?!1:(h.add(S),!0)}).map(b=>{let p=b.name||b.product||"Unknown Device",S=b.manufacturer?`${b.manufacturer}`:"",_=[b.serial?`SN: ${b.serial}`:null,b.version?`v${b.version}`:null,b.hardwareVersion?`hw:${b.hardwareVersion}`:null].filter(Boolean).join(" \u2022 "),W=[b.batteryLevel?`${b.batteryLevel}%`:null,b.batteryStatus?`Status: ${b.batteryStatus}`:null,b.batteryVoltage?`${b.batteryVoltage.toFixed(2)}V`:null].filter(Boolean).join(" \u2022 "),O="",Y=String(b.sourceType||"").toLowerCase();Y.includes("local")?O="memory":Y.includes("antplus")||Y.includes("ant_plus")?O="settings_input_antenna":Y.includes("bluetooth")&&(O="bluetooth");let Z="sensors",lt=String(p).toLowerCase();return lt.includes("heartrate")||lt.includes("hrm")?Z=Nt.hr.icon:lt.includes("power")?Z=Nt.power.icon:lt.includes("speed")?Z=Nt.speed.icon:lt.includes("cadence")?Z=Nt.cadence.icon:lt.includes("barometer")?Z="air":lt.includes("temperature")?Z=Nt.temperature.icon:lt.includes("gps")&&(Z="location_on"),`
- ${W} -
${pt(w)}
- ${q?`${q}`:""} + ${Z} +
${me(p)}
+ ${O?`${O}`:""}
-
${E}
+
${S}
- ${N?`
${pt(N)}
`:""} + ${_?`
${me(_)}
`:""}
-
${pt(u.type||"device")}
- ${G?`
+
${me(b.type||"device")}
+ ${W?`
battery_charging_full - ${pt(G)} + ${me(W)}
`:""}
@@ -221,51 +284,51 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams(
- `;let x=document.getElementById("tag-container"),g=document.getElementById("new-tag-input"),T=document.getElementById("btn-add-tag"),$=()=>{x.innerHTML="";let v=e.tags||[];if(v.length===0){x.innerHTML='No tags added';return}v.forEach(u=>{let w=hs(u),E=document.createElement("div");E.className="tag-pill font-s",E.style.cssText=` - background: ${w}15; - border: 1px solid ${w}44; - color: ${w}; + `;let g=document.getElementById("tag-container"),f=document.getElementById("new-tag-input"),A=document.getElementById("btn-add-tag"),C=()=>{g.innerHTML="";let h=t.tags||[];if(h.length===0){g.innerHTML='No tags added';return}h.forEach(b=>{let p=Ts(b),S=document.createElement("div");S.className="tag-pill font-s",S.style.cssText=` + background: ${p}15; + border: 1px solid ${p}44; + color: ${p}; padding: 2px 8px; border-radius: 4px; font-weight: 600; display: flex; align-items: center; gap: 6px; - `,E.innerHTML=` - ${pt(u)} - close - `,x.appendChild(E)}),x.querySelectorAll(".btn-remove-tag").forEach(u=>{u.addEventListener("click",async w=>{let E=w.currentTarget.dataset.tag;e.tags=(e.tags||[]).filter(N=>N!==E),await at.save(e),$(),Mn()})})},M=async()=>{let v=g.value.trim().toLowerCase();if(!v)return;let u=new Set(e.tags||[]);if(u.has(v)){g.value="";return}u.add(v),e.tags=Array.from(u).sort(),await at.save(e),g.value="",$(),Mn()};T.addEventListener("click",M),g.addEventListener("keydown",v=>{v.key==="Enter"&&M()});let C=s.querySelector("#details-title-input");C?.addEventListener("change",async()=>{let v=C.value.trim();v&&(e.displayName=v,await at.save(e),Mn())});let k=document.getElementById("sport-dropdown-trigger");k?.addEventListener("click",v=>{v.stopPropagation(),f(k)});function f(v){if(!e)return;document.querySelectorAll(".metric-menu-popup").forEach(q=>q.remove());let u=document.createElement("div");u.className="metric-menu-popup",Object.keys(Nt).forEach(q=>{let _=Nt[q],W=document.createElement("div"),z=e.sport?.toLowerCase()===q;W.className=`menu-item ${z?"active":""}`,W.innerHTML=` - ${_.icon} - ${_.name} - ${z?"check":""} - `,W.addEventListener("click",async()=>{e.sport=q,await at.save(e),u.remove();let de=document.getElementById("sport-icon");de&&(de.textContent=_.icon);let y=document.getElementById("sport-name");y&&(y.textContent=_.name),Mn()}),u.appendChild(W)});let w=document.createElement("div"),E=!e.sport;w.className=`menu-item ${E?"active":""}`,w.innerHTML=` + `,S.innerHTML=` + ${me(b)} + close + `,g.appendChild(S)}),g.querySelectorAll(".btn-remove-tag").forEach(b=>{b.addEventListener("click",async p=>{let S=p.currentTarget.dataset.tag;t.tags=(t.tags||[]).filter(_=>_!==S),await ce.save(t),C(),Pn()})})},$=async()=>{let h=f.value.trim().toLowerCase();if(!h)return;let b=new Set(t.tags||[]);if(b.has(h)){f.value="";return}b.add(h),t.tags=Array.from(b).sort(),await ce.save(t),f.value="",C(),Pn()};A.addEventListener("click",$),f.addEventListener("keydown",h=>{h.key==="Enter"&&$()});let M=l.querySelector("#details-title-input");M?.addEventListener("change",async()=>{let h=M.value.trim();h&&(t.displayName=h,await ce.save(t),Pn())});let m=document.getElementById("sport-dropdown-trigger");m?.addEventListener("click",h=>{h.stopPropagation(),k(m)});function k(h){if(!t)return;document.querySelectorAll(".metric-menu-popup").forEach(O=>O.remove());let b=document.createElement("div");b.className="metric-menu-popup",Object.keys(Ye).forEach(O=>{let Y=Ye[O],Z=document.createElement("div"),lt=t.sport?.toLowerCase()===O;Z.className=`menu-item ${lt?"active":""}`,Z.innerHTML=` + ${Y.icon} + ${Y.name} + ${lt?"check":""} + `,Z.addEventListener("click",async()=>{t.sport=O,await ce.save(t),b.remove();let Ft=document.getElementById("sport-icon");Ft&&(Ft.textContent=Y.icon);let rt=document.getElementById("sport-name");rt&&(rt.textContent=Y.name),Pn()}),b.appendChild(Z)});let p=document.createElement("div"),S=!t.sport;p.className=`menu-item ${S?"active":""}`,p.innerHTML=` block \u2014 - ${E?"check":""} - `,w.addEventListener("click",async()=>{e.sport=void 0,await at.save(e),u.remove();let q=document.getElementById("sport-icon");q&&(q.textContent="question_mark");let _=document.getElementById("sport-name");_&&(_.textContent="\u2014"),Mn()}),u.appendChild(w),document.body.appendChild(u);let N=v.getBoundingClientRect();u.style.top=`${N.bottom+window.scrollY+4}px`,u.style.left=`${N.left+window.scrollX}px`;let G=q=>{!u.contains(q.target)&&!v.contains(q.target)&&(u.remove(),document.removeEventListener("click",G))};setTimeout(()=>document.addEventListener("click",G),10)}$(),document.getElementById("btn-delete-track")?.addEventListener("click",()=>{confirm(`Remove "${e.name}"?`)&&yl(e.id)})}import Wo from"uplot";var wt=[];function Pl(e){return wt.filter(n=>{if(n.points.length===0)return!1;for(let t of n.points){let s=!1;for(let o of e.points)if(sn(t.lat,t.lon,o.lat,o.lon)<=t.radius){s=!0;break}if(!s)return!1}return!0})}var $n=null,Yn=!1,Cn=null,Al=()=>{},Ho=null;function Il(e){Al=e,Fo()}function Hl(){wt=[],$n=null,Cn=null,Yn=!1;let e=document.getElementById("courses-view");e&&(e.innerHTML=` + ${S?"check":""} + `,p.addEventListener("click",async()=>{t.sport=void 0,await ce.save(t),b.remove();let O=document.getElementById("sport-icon");O&&(O.textContent="question_mark");let Y=document.getElementById("sport-name");Y&&(Y.textContent="\u2014"),Pn()}),b.appendChild(p),document.body.appendChild(b);let _=h.getBoundingClientRect();b.style.top=`${_.bottom+window.scrollY+4}px`,b.style.left=`${_.left+window.scrollX}px`;let W=O=>{!b.contains(O.target)&&!h.contains(O.target)&&(b.remove(),document.removeEventListener("click",W))};setTimeout(()=>document.addEventListener("click",W),10)}C(),document.getElementById("btn-delete-track")?.addEventListener("click",()=>{confirm(`Remove "${t.name}"?`)&&$o(t.id)})}import Zl from"uplot";var we=[];function No(t){return we.filter(n=>{if(n.points.length===0)return!1;for(let s of n.points){let e=!1;for(let l of t.points)if(en(s.lat,s.lon,l.lat,l.lon)<=s.radius){e=!0;break}if(!e)return!1}return!0})}var un=null,Yn=!1,dn=null,Wo=()=>{},zl=null;function qo(t){Wo=t,Ul()}function zo(){we=[],un=null,dn=null,Yn=!1;let t=document.getElementById("courses-view");t&&(t.innerHTML=`
route
No courses created yet
- `)}function Bs(e){wt=[];for(let n=0;n0&&($n=wt[0].id,Cn=wt[0].id)}async function Fo(){try{let e=await at.get("courses");e&&(wt=e)}catch(e){console.error("Courses: Failed to load courses",e)}}async function _s(){try{await at.set("courses",wt)}catch(e){console.error("Courses: Failed to save courses",e),Al("Failed to save courses","error")}}function Bo(e){let n=0;for(let t=0;tt)return{duration:0,dist:0,avgWatts:null,avgHR:null,avgSpeed:null,avgCadence:null,avgVam:null};let a=Math.max(0,Math.min(n,o-1)),p=Math.max(a,Math.min(t,o-1)),c=s[a]?.time||0,x=((s[p]?.time||0)-c)/1e3,g=0,T=0,$=0,M=0,C=0,k=0,f=0,F=0,v=0;for(let w=a;w<=p;w++){let E=s[w];if(E.power!=null&&(g+=E.power,T++),E.hr!=null&&($+=E.hr,M++),E.speed!=null&&(C+=E.speed,k++),E.cadence!=null&&(f+=E.cadence,F++),w>a){let N=s[w-1];if(E.ele!=null&&N.ele!=null){let G=E.ele-N.ele;G>0&&(v+=G)}}}let u=p>a?(s[p].dist||0)-(s[a].dist||0):0;return{duration:x,dist:u,avgWatts:T>0?Math.round(g/T):null,avgHR:M>0?Math.round($/M):null,avgSpeed:k>0?C/k:null,avgCadence:F>0?Math.round(f/F):null,avgVam:x>0?Math.round(v/(x/3600)):null}}function _o(e){let n=Math.floor(e/3600),t=Math.floor(e%3600/60),s=Math.floor(e%60);return n>0?`${n}:${t.toString().padStart(2,"0")}:${s.toString().padStart(2,"0")}`:`${t}:${s.toString().padStart(2,"0")}`}function Rs(){return` + `)}function Us(t){we=[];let n=[{trackIdx:0,suffix:"Full Loop",fracs:[.1,.5,.85],radius:450},{trackIdx:1,suffix:"Opening Climb Sector",fracs:[.08,.25,.45],radius:450},{trackIdx:2,suffix:"Lakeside Corridor",fracs:[.1,.45,.8],radius:850},{trackIdx:3,suffix:"Sprint Interval Sector",fracs:[.2,.5,.75],radius:850},{trackIdx:4,suffix:"Alpine Grand Tour Stage",fracs:[.1,.5,.85],radius:900},{trackIdx:5,suffix:"Summit Finish Climb",fracs:[.5,.72,.92],radius:900}];for(let s=0;s0&&(un=we[0].id,dn=we[0].id)}function Uo(){return we.map(t=>t.id)}async function Ul(){try{let t=await ce.get("courses");t&&(we=t)}catch(t){console.error("Courses: Failed to load courses",t)}}async function Vs(){try{await ce.set("courses",we)}catch(t){console.error("Courses: Failed to save courses",t),Wo("Failed to save courses","error")}}function Vl(t){let n=0;for(let s=0;ss)return{duration:0,dist:0,avgWatts:null,avgHR:null,avgSpeed:null,avgCadence:null,avgVam:null};let i=Math.max(0,Math.min(n,l-1)),a=Math.max(i,Math.min(s,l-1)),c=e[i]?.time||0,w=((e[a]?.time||0)-c)/1e3,g=0,f=0,A=0,C=0,$=0,M=0,m=0,k=0,P=0;for(let b=i;b<=a;b++){let p=e[b];if(p.power!=null&&(g+=p.power,f++),p.hr!=null&&(A+=p.hr,C++),p.speed!=null&&($+=p.speed,M++),p.cadence!=null&&(m+=p.cadence,k++),b>i){let S=e[b-1];if(p.ele!=null&&S.ele!=null){let _=p.ele-S.ele;_>0&&(P+=_)}}}let h=a>i?(e[a].dist||0)-(e[i].dist||0):0;return{duration:w,dist:h,avgWatts:f>0?Math.round(g/f):null,avgHR:C>0?Math.round(A/C):null,avgSpeed:M>0?$/M:null,avgCadence:k>0?Math.round(m/k):null,avgVam:w>0?Math.round(P/(w/3600)):null}}function Ol(t){let n=Math.floor(t/3600),s=Math.floor(t%3600/60),e=Math.floor(t%60);return n>0?`${n}:${s.toString().padStart(2,"0")}:${e.toString().padStart(2,"0")}`:`${s}:${e.toString().padStart(2,"0")}`}function Os(){return` calendar_today Date straighten Distance timer Duration speed Speed speed Pace - trending_up VAM + trending_up VAM bolt Power favorite HR - `}function Ns(e,n,t){let o=(n?Nt[n.toLowerCase()]:null)?.paceUnit||"km",a="--";if(e.avgSpeed!=null&&e.avgSpeed>.1){let p=(o==="km"?1e3:100)/e.avgSpeed;a=`${On(p)} min/${o}`}return` - ${t} - ${e.dist!=null?`${(e.dist/1e3).toFixed(2)} km`:"-"} - ${_o(e.duration)} - ${e.avgSpeed!=null?`${(e.avgSpeed*3.6).toFixed(1)} km/h`:"-"} - ${a} - ${e.avgVam!=null?`${e.avgVam} m/h`:"-"} - ${e.avgWatts!=null?`${e.avgWatts} W`:"-"} - ${e.avgHR!=null?`${e.avgHR} bpm`:"-"} - `}var ws=16384,Tl=new Float64Array(ws),El=new Float64Array(ws),Sl=new Float64Array(ws),Ml=new Float64Array(32),kl=new Float64Array(32),Xt=180,Cl=28,$l=new Float64Array(Xt),Ll=new Float64Array(Xt),kn=new Float64Array(Xt+1),ys=new Float64Array(Xt+1);function Wt(){let e=document.getElementById("courses-view");if(!e)return;let n=0;for(let t of wt){if(t.points.length<2)continue;let s=De.findTracksPassingThroughPoints(t.points.map(a=>({lat:a.lat,lng:a.lon})),t.points[0]?.radius||20),o=4;for(let a=0;a.1){let a=(l==="km"?1e3:100)/t.avgSpeed;i=`${On(a)} min/${l}`}return` + ${s} + ${t.dist!=null?`${(t.dist/1e3).toFixed(2)} km`:"-"} + ${Ol(t.duration)} + ${t.avgSpeed!=null?`${(t.avgSpeed*3.6).toFixed(1)} km/h`:"-"} + ${i} + ${t.avgVam!=null?`${t.avgVam} m/h`:"-"} + ${t.avgWatts!=null?`${t.avgWatts} W`:"-"} + ${t.avgHR!=null?`${t.avgHR} bpm`:"-"} + `}var Cs=16384,Ao=new Float64Array(Cs),Io=new Float64Array(Cs),Ho=new Float64Array(Cs),Fo=new Float64Array(32),Do=new Float64Array(32),sn=180,Bo=28,_o=new Float64Array(sn),Ro=new Float64Array(sn),Ln=new Float64Array(sn+1),Es=new Float64Array(sn+1);function je(){let t=document.getElementById("courses-view");if(!t)return;let n=0,s=dn||un?we.filter(e=>e.id===dn||e.id===un):we;for(let e of s){if(e.points.length<2)continue;let l=Bt.findTracksPassingThroughPoints(e.points.map(a=>({lat:a.lat,lng:a.lon})),e.points[0]?.radius||20),i=4;for(let a=0;a
@@ -283,33 +346,33 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams(
- ${wt.length===0?` + ${we.length===0?`
route
No courses created yet
- `:wt.map(t=>{let s=t.points.map(c=>({lat:c.lat,lng:c.lon})),o=De.findTracksPassingThroughPoints(s,t.points[0]?.radius||20),a=t.id===Cn,p="";if(a){let c=o.map(d=>{let x=De.getTrackData(d);if(!x)return null;let g=xs(x,t.points);if(!g)return null;let T=Ds(x,g.startIdx,g.endIdx),$=x.stats?.startTime||x.points?.[0]?.time,M=$?Gt($):"-";return{id:d,displayName:x.displayName||x.name||d,date:M,sport:x.sport,color:x.color,...T,startIdx:g.startIdx,endIdx:g.endIdx}}).filter(d=>d!==null);c.sort((d,x)=>d.duration-x.duration||d.id.localeCompare(x.id)),p=` + `:we.map(e=>{let l=e.points.map(d=>({lat:d.lat,lng:d.lon})),i=Bt.findTracksPassingThroughPoints(l,e.points[0]?.radius||20),a=e.id===dn,c="";if(a){let d=i.map(w=>{let g=Bt.getTrackData(w);if(!g)return null;let f=ks(g,e.points);if(!f)return null;let A=wn(g,f.startIdx,f.endIdx),C=Math.max(1,f.endIdx-f.startIdx),$=f.startIdx+Math.floor(C*.25),M=f.startIdx+Math.floor(C*.5),m=f.startIdx+Math.floor(C*.75),k=wn(g,f.startIdx,$),P=wn(g,$,M),h=wn(g,M,m),b=wn(g,m,f.endIdx),p=g.stats?.startTime||g.points?.[0]?.time,S=p?nn(p):"-";return{id:w,displayName:g.displayName||g.name||w,date:S,sport:g.sport,color:g.color,...A,splitsSummary:`${k.avgWatts||0}/${P.avgWatts||0}/${h.avgWatts||0}/${b.avgWatts||0}W`,startIdx:f.startIdx,endIdx:f.endIdx}}).filter(w=>w!==null);d.sort((w,g)=>w.duration-g.duration||w.id.localeCompare(g.id)),c=`
- ${c.length===0?` + ${d.length===0?`
No matching tracks
`:` - - ${Rs()} + + ${Os()} - ${c.map(d=>` - + ${d.map(w=>` + - ${Ns(d,d.sport,d.date)} + ${Ys(w,w.sport,w.date)} `).join("")} @@ -317,53 +380,53 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams( `} `}return` -
+
${a?"expand_more":"chevron_right"} -
${pt(t.name)} edit
-
straighten ${Bo(t).toFixed(2)} km | ${t.points.length} points | ${o.length} matching tracks
+
${me(e.name)} edit
+
straighten ${Vl(e).toFixed(2)} km | ${e.points.length} points | ${i.length} matching tracks
- ${p} + ${c}
`}).join("")}
- `,document.getElementById("btn-new-course")?.addEventListener("click",()=>{Do()}),document.getElementById("btn-done-edit")?.addEventListener("click",()=>{Yn=!1,De.setCustomClickHandler(null),document.getElementById("map-container")?.classList.remove("editing-mode"),Wt()}),e.querySelectorAll(".course-item").forEach(t=>{let s=t.dataset.id;t.querySelector(".btn-edit-course")?.addEventListener("click",o=>{o.stopPropagation(),Fl(s)}),t.querySelector(".btn-rename-course")?.addEventListener("click",o=>{o.stopPropagation(),Ro(s)}),t.querySelector(".btn-delete-course")?.addEventListener("click",o=>{o.stopPropagation(),No(s)}),t.querySelector(".course-item-header")?.addEventListener("click",o=>{o.target.closest(".course-actions")||o.target.closest(".btn-rename-course")||(Ln(s),Cn=Cn===s?null:s,Wt())}),t.querySelectorAll(".course-track-row").forEach(o=>{let a=o.dataset.trackId,p=parseInt(o.dataset.start,10),c=parseInt(o.dataset.end,10);o.querySelector(".track-name-cell")?.addEventListener("click",d=>{d.stopPropagation();let x=De.getTrackData(a);x&&(Mt(a,!1),setTimeout(()=>{let g=x.points,T=g.find(u=>u.time!=null)?.time||0,$=Math.max(0,Math.min(p,g.length-1)),M=Math.max(0,Math.min(c,g.length-1)),C=Math.max(0,((g[$]?.time||0)-T)/1e3),k=Math.max(0,((g[M]?.time||0)-T)/1e3),f=Se.getXAxis(),F=C,v=k;f==="distance"&&(F=Math.max(0,(g[$]?.dist||0)/1e3),v=Math.max(0,(g[M]?.dist||0)/1e3)),Ye.patch({sel:[F,v],tab:"graphs"},!0),Se.restoreSelection(C,k),De.highlightSegment(a,x.points,p,c,!0)},50))}),o.addEventListener("mouseenter",()=>{De.setTrackHover(a,!0)}),o.addEventListener("mouseleave",()=>{De.setTrackHover(a,!1)})})})}function Do(){let e=`Course ${wt.length+1}`,n={id:Math.random().toString(36).substring(2,9),name:e,points:[]};wt.push(n),_s(),Wt(),Fl(n.id)}function Ro(e){let n=wt.find(c=>c.id===e);if(!n)return;let t=document.querySelector(`.course-item[data-id="${e}"]`);if(!t)return;let s=t.querySelector(".course-name");if(!s)return;let o=n.name;s.innerHTML=``;let a=s.querySelector(".course-name-input");a.focus(),a.select();let p=()=>{let c=a.value.trim();c!==""&&(n.name=c,_s()),Wt()};a.addEventListener("blur",p),a.addEventListener("keydown",c=>{c.key==="Enter"?p():c.key==="Escape"&&Wt()})}function Fl(e){$n=e,Yn=!0,Wt()}function Bl(){Ho=null}function Ln(e,n=!1){$n=e,n&&(Cn=e),Yn=!1,De.setCustomClickHandler(null),Bl(),Wt()}function No(e){confirm("Are you sure you want to delete this course?")&&(wt=wt.filter(n=>n.id!==e),$n===e&&($n=null,Bl()),_s(),Wt())}var Es=()=>{},Ws=[];function zl(){Ws.forEach(e=>e.destroy()),Ws=[]}function ql(e){Es=e}function Ul(){zl(),document.querySelectorAll(".hr-settings-popup").forEach(n=>n.remove());let e=document.getElementById("insights-view");e&&(e.innerHTML=` + 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a=i.dataset.trackId,c=parseInt(i.dataset.start,10),d=parseInt(i.dataset.end,10);i.querySelector(".track-name-cell")?.addEventListener("click",w=>{w.stopPropagation();let g=Bt.getTrackData(a);g&&(_e(a,!1),setTimeout(()=>{let f=g.points,A=f.find(b=>b.time!=null)?.time||0,C=Math.max(0,Math.min(c,f.length-1)),$=Math.max(0,Math.min(d,f.length-1)),M=Math.max(0,((f[C]?.time||0)-A)/1e3),m=Math.max(0,((f[$]?.time||0)-A)/1e3),k=ft.getXAxis(),P=M,h=m;k==="distance"&&(P=Math.max(0,(f[C]?.dist||0)/1e3),h=Math.max(0,(f[$]?.dist||0)/1e3)),Gt.patch({sel:[P,h],tab:"graphs"},!0),ft.restoreSelection(M,m),Bt.highlightSegment(a,g.points,c,d,!0)},50))}),i.addEventListener("mouseenter",()=>{Bt.setTrackHover(a,!0)}),i.addEventListener("mouseleave",()=>{Bt.setTrackHover(a,!1)})})})}function Yl(){let t=`Course ${we.length+1}`,n={id:Math.random().toString(36).substring(2,9),name:t,points:[]};we.push(n),Vs(),je(),Vo(n.id)}function jl(t){let n=we.find(c=>c.id===t);if(!n)return;let s=document.querySelector(`.course-item[data-id="${t}"]`);if(!s)return;let e=s.querySelector(".course-name");if(!e)return;let l=n.name;e.innerHTML=``;let i=e.querySelector(".course-name-input");i.focus(),i.select();let a=()=>{let c=i.value.trim();c!==""&&(n.name=c,Vs()),je()};i.addEventListener("blur",a),i.addEventListener("keydown",c=>{c.key==="Enter"?a():c.key==="Escape"&&je()})}function Vo(t){un=t,Yn=!0,je()}function Oo(){zl=null}function Tn(t,n=!1){un=t,n&&(dn=t),Yn=!1,Bt.setCustomClickHandler(null),Oo(),je()}function Gl(t){confirm("Are you sure you want to delete this course?")&&(we=we.filter(n=>n.id!==t),un===t&&(un=null,Oo()),Vs(),je())}var Ls=()=>{},js=[];function Qo(){js.forEach(t=>t.destroy()),js=[]}function Ko(t){Ls=t}function Jo(){Qo(),document.querySelectorAll(".hr-settings-popup").forEach(n=>n.remove());let t=document.getElementById("insights-view");t&&(t.innerHTML=`
no_sim
Select a track for insights
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analytics
No insights available for this track (requires Power or Heart Rate data)
- `;return}let o=n.length>0?n:[e],a=Vo(o,ot.getFTP());t.innerHTML=` -
- `;let p=document.getElementById("insights-grid");if(!p)return;let c=Math.round(p.getBoundingClientRect().width-42)||480;if(s.powerCurve&&Wl({grid:p,track:e,curve:s.powerCurve,metricKey:"power",label:"Power Curve",unit:"W",color:We.power.color,icon:"bolt",chartWidth:c}),s.hrCurve&&Wl({grid:p,track:e,curve:s.hrCurve,metricKey:"hr",label:"Heart Rate Curve",unit:"bpm",color:We.hr.color,icon:"favorite",chartWidth:c}),s.powerZones){let $=document.createElement("div");$.className="insight-card";let M="power",C=We.power.color;$.style.setProperty("--chart-color",C);let k=Se.getMapColorMetric()===M,f=s.powerZones.reduce((u,w)=>u+w,0),F=Sn.getPowerZones(),v="";s.powerZones.forEach((u,w)=>{if(w>=F.length)return;let E=F[w],N=f>0?u/f*100:0,G=isFinite(E.max)?`${Math.round(E.min)} - ${Math.round(E.max)} W`:`> ${Math.round(E.min)} W`;v+=` + `;return}let c=Kl(i,Jt.getFTP(),t.stats.sections),d=c.minWPrimeBal;e.innerHTML=` +
+ `;let w=document.getElementById("insights-grid");if(!w)return;let g=Math.round(w.getBoundingClientRect().width-42)||480;if(a.powerCurve&&Xo({grid:w,track:t,curve:a.powerCurve,metricKey:"power",label:"Power Curve",unit:"W",color:Nt.power.color,icon:"bolt",chartWidth:g}),a.hrCurve&&Xo({grid:w,track:t,curve:a.hrCurve,metricKey:"hr",label:"Heart Rate Curve",unit:"bpm",color:Nt.hr.color,icon:"favorite",chartWidth:g}),a.powerZones){let M=document.createElement("div");M.className="insight-card";let m="power",k=Nt.power.color;M.style.setProperty("--chart-color",k);let P=ft.getMapColorMetric()===m,h=a.powerZones.reduce((S,_)=>S+_,0),b=$n.getPowerZones(),p="";a.powerZones.forEach((S,_)=>{if(_>=b.length)return;let W=b[_],O=h>0?S/h*100:0,Y=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} W`:`> ${Math.round(W.min)} W`;p+=`
- Z${w+1} - ${E.name} - ${G} - ${ht(Math.round(u))} - ${N.toFixed(1)}% + Z${_+1} + ${W.name} + ${Y} + ${he(Math.round(S))} + ${O.toFixed(1)}%
-
+
- `}),$.innerHTML=` + `}),M.innerHTML=`
- boltPower Zones + boltPower Zones
-
@@ -371,27 +434,27 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams( settings
-
${v}
- `,p.appendChild($),$.querySelector(".map-color-btn")?.addEventListener("click",u=>{u.stopPropagation(),Se.toggleMapColor(M);let w=Se.getMapColorMetric();p.querySelectorAll(".map-color-btn").forEach(E=>{let N=E;N.classList.toggle("active",N.dataset.metric===w)})}),$.querySelector(".btn-pw-settings")?.addEventListener("click",u=>{u.stopPropagation(),Yo(u.currentTarget,e)})}if(s.hrZones){let $=document.createElement("div");$.className="insight-card";let M="hr",C=We.hr.color;$.style.setProperty("--chart-color",C);let k=Se.getMapColorMetric()===M,f=s.hrZones.reduce((u,w)=>u+w,0),F=Sn.getHRZones(),v="";s.hrZones.forEach((u,w)=>{if(w>=F.length)return;let E=F[w],N=f>0?u/f*100:0,G=isFinite(E.max)?`${Math.round(E.min)} - ${Math.round(E.max)} bpm`:`> ${Math.round(E.min)} bpm`;v+=` +
${p}
+ `,w.appendChild(M),M.querySelector(".map-color-btn")?.addEventListener("click",S=>{S.stopPropagation(),ft.toggleMapColor(m);let _=ft.getMapColorMetric();w.querySelectorAll(".map-color-btn").forEach(W=>{let O=W;O.classList.toggle("active",O.dataset.metric===_)})}),M.querySelector(".btn-pw-settings")?.addEventListener("click",S=>{S.stopPropagation(),ti(S.currentTarget,t)})}if(a.hrZones){let M=document.createElement("div");M.className="insight-card";let m="hr",k=Nt.hr.color;M.style.setProperty("--chart-color",k);let P=ft.getMapColorMetric()===m,h=a.hrZones.reduce((S,_)=>S+_,0),b=$n.getHRZones(),p="";a.hrZones.forEach((S,_)=>{if(_>=b.length)return;let W=b[_],O=h>0?S/h*100:0,Y=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} bpm`:`> ${Math.round(W.min)} bpm`;p+=`
- Z${w+1} - ${E.name} - ${G} - ${ht(Math.round(u))} - ${N.toFixed(1)}% + Z${_+1} + ${W.name} + ${Y} + ${he(Math.round(S))} + ${O.toFixed(1)}%
-
+
- `}),$.innerHTML=` + `}),M.innerHTML=`
- favoriteHeart Rate Zones + favoriteHeart Rate Zones
-
@@ -399,72 +462,111 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams( settings
-
${v}
- `,p.appendChild($),$.querySelector(".map-color-btn")?.addEventListener("click",u=>{u.stopPropagation(),Se.toggleMapColor(M);let w=Se.getMapColorMetric();p.querySelectorAll(".map-color-btn").forEach(E=>{let N=E;N.classList.toggle("active",N.dataset.metric===w)})}),$.querySelector(".btn-hr-settings")?.addEventListener("click",u=>{u.stopPropagation(),Oo(u.currentTarget,e)})}let d=document.createElement("div");d.className="insight-card";let x=s.totalDist/1e3,g=x>0?s.elevGain/(x*1e3)*100:0;if(d.innerHTML=` +
${p}
+ `,w.appendChild(M),M.querySelector(".map-color-btn")?.addEventListener("click",S=>{S.stopPropagation(),ft.toggleMapColor(m);let _=ft.getMapColorMetric();w.querySelectorAll(".map-color-btn").forEach(W=>{let O=W;O.classList.toggle("active",O.dataset.metric===_)})}),M.querySelector(".btn-hr-settings")?.addEventListener("click",S=>{S.stopPropagation(),Jl(S.currentTarget,t)})}let f=document.createElement("div");f.className="insight-card";let A=a.totalDist/1e3,C=A>0?a.elevGain/(A*1e3)*100:0;if(f.innerHTML=`
- terrainClimbing Analysis + terrainClimbing Analysis
Total Ascent
-
${Math.round(s.elevGain)} m
+
${Math.round(a.elevGain)} m
Total Descent
-
${Math.round(s.elevLoss)} m
+
${Math.round(a.elevLoss)} m
Avg Grade
-
${g.toFixed(1)} %
+
${C.toFixed(1)} %
VAM
-
${s.duration&&s.duration>0?Math.round(s.elevGain/s.duration*36e5):0} m/h
+
${a.duration&&a.duration>0?Math.round(a.elevGain/a.duration*36e5):0} m/h
- `,p.appendChild(d),s.avgPower&&s.avgHR){let $=document.createElement("div");$.className="insight-card";let M=s.avgPower/s.avgHR;$.innerHTML=` + `,w.appendChild(f),a.avgPower&&a.avgHR){let M=document.createElement("div");M.className="insight-card";let m=a.avgPower/a.avgHR;M.innerHTML=`
- monitoringEfficiency Factor + monitoringEfficiency & W' Balance
-
+
EF (Avg Power / Avg HR)
-
${M.toFixed(2)}
-
Higher values indicate better aerobic fitness.
+
${m.toFixed(2)}
+
+
+
Aerobic Decoupling
+
${c.decouplingPct.toFixed(1)} %
+
+
+
Min W' Reserve
+
${(c.minWPrimeBal/1e3).toFixed(1)} kJ (${c.matchesBurned} matches)
+
+
+
Quadrants (Q1/Q2/Q3/Q4)
+
${c.quadrantPct.join("% / ")}%
- `,p.appendChild($)}let T=Pl(e);if(T.length>0){let $=document.createElement("div");$.className="insight-card",$.style.cssText="column-span: all; display: block;",$.innerHTML=` -
routeCourses (${T.length})
+ `,w.appendChild(M)}if(c.sectionPeaks.length>0){let M=document.createElement("div");M.className="insight-card",M.innerHTML=` +
+ segmentTrack Section & Climb Efforts +
+
Track (${c.length})Track (${d.length})
-
- ${pt(d.displayName)} +
+ ${me(w.displayName)}
+ + + + + + + + + + + + ${c.sectionPeaks.map(m=>` + + + + + + + + + `).join("")} + +
SectionDistAvg WPeak 60sAvg HRVAM
${me(m.label)}${m.distKm} km${m.avgPower} W${m.peak60sPower} W${m.avgHR} bpm${m.vam} m/h
+ `,w.appendChild(M)}let $=No(t);if($.length>0){let M=document.createElement("div");M.className="insight-card",M.style.cssText="column-span: all; display: block;",M.innerHTML=` +
routeCourses (${$.length})
- ${Rs()} + ${Os()} - ${T.map(M=>{let C=xs(e,M.points),k="";if(C){let f=Ds(e,C.startIdx,C.endIdx),F=e.stats?.startTime||e.points?.[0]?.time,v=F?Gt(F):"-";k=Ns(f,e.sport||null,v)}else k='';return` - + ${$.map(m=>{let k=ks(t,m.points),P="";if(k){let h=wn(t,k.startIdx,k.endIdx),b=t.stats?.startTime||t.points?.[0]?.time,p=b?nn(b):"-";P=Ys(h,t.sport||null,p)}else P='';return` + - ${k} + ${P} `}).join("")}
Name
No continuous segment
No continuous segment
- ${pt(M.name)} + ${me(m.name)}
- `,p.appendChild($),$.querySelectorAll(".clickable-course").forEach(M=>{M.addEventListener("click",()=>{let C=M.dataset.id;Ln(C,!0),Ye.patch({tab:"courses"},!0)}),M.addEventListener("mouseenter",()=>{let C=M.dataset.id,k=T.find(f=>f.id===C);if(k){let f=xs(e,k.points);f&&De.highlightSegment(e.id,e.points,f.startIdx,f.endIdx,!1)}}),M.addEventListener("mouseleave",()=>{De.clearHighlight()})})}}function Wl(e){let{grid:n,track:t,curve:s,metricKey:o,label:a,unit:p,color:c,icon:d,chartWidth:x}=e,g=Se.getMapColorMetric()===o,T=document.createElement("div");T.className="insight-card",T.style.setProperty("--chart-color",c),T.innerHTML=` + `,w.appendChild(M),M.querySelectorAll(".clickable-course").forEach(m=>{m.addEventListener("click",()=>{let k=m.dataset.id;Tn(k,!0),Gt.patch({tab:"courses"},!0)}),m.addEventListener("mouseenter",()=>{let k=m.dataset.id,P=$.find(h=>h.id===k);if(P){let h=ks(t,P.points);h&&Bt.highlightSegment(t.id,t.points,h.startIdx,h.endIdx,!1)}}),m.addEventListener("mouseleave",()=>{Bt.clearHighlight()})})}}function Xo(t){let{grid:n,track:s,curve:e,metricKey:l,label:i,unit:a,color:c,icon:d,chartWidth:w}=t,g=ft.getMapColorMetric()===l,f=document.createElement("div");f.className="insight-card",f.style.setProperty("--chart-color",c),f.innerHTML=`
- ${d}${a} + ${d}${i}
-
@@ -472,7 +574,7 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams( expand_more
-
+
- `,n.appendChild(T);let $=T.querySelector(".curve-table-wrap"),M=T.querySelector(".btn-toggle-table"),C=M.querySelector(".material-symbols-rounded");M.addEventListener("click",()=>{let u=$.style.display==="none";$.style.display=u?"block":"none",C.textContent=u?"expand_less":"expand_more"});let k=T.querySelector(".map-color-btn");k.addEventListener("click",u=>{u.stopPropagation();let w=k.dataset.metric;Se.toggleMapColor(w);let E=Se.getMapColorMetric();n.querySelectorAll(".map-color-btn").forEach(N=>{let G=N;G.classList.toggle("active",G.dataset.metric===E)})});let f=T.querySelector(".curve-tbody"),F=Object.keys(s).map(Number).sort((u,w)=>u-w);F.forEach(u=>{let w=s[u],E=w.power||w.hr||w.val,N=document.createElement("tr");N.innerHTML=` - ${_t(u)} - ${E} ${p} + `,n.appendChild(f);let A=f.querySelector(".curve-table-wrap"),C=f.querySelector(".btn-toggle-table"),$=C.querySelector(".material-symbols-rounded");C.addEventListener("click",()=>{let h=A.style.display==="none";A.style.display=h?"block":"none",$.textContent=h?"expand_less":"expand_more"});let M=f.querySelector(".map-color-btn");M.addEventListener("click",h=>{h.stopPropagation();let b=M.dataset.metric;ft.toggleMapColor(b);let p=ft.getMapColorMetric();n.querySelectorAll(".map-color-btn").forEach(S=>{let _=S;_.classList.toggle("active",_.dataset.metric===p)})});let m=f.querySelector(".curve-tbody"),k=Object.keys(e).map(Number).sort((h,b)=>h-b);k.forEach(h=>{let b=e[h],p=b.power||b.hr||b.val,S=document.createElement("tr");S.innerHTML=` + ${ze(h)} + ${p} ${a} - - `,f?.appendChild(N)}),f?.querySelectorAll(".btn-show-peak").forEach(u=>{u.addEventListener("click",w=>{let E=w.currentTarget,N=parseInt(E.dataset.idx),G=parseInt(E.dataset.len),q=t.points,_=Math.min(q.length-1,N+G-1),W=q[0].time||0,z=((q[N].time||W)-W)/1e3,de=((q[_].time||W)-W)/1e3;Ye.patch({sel:[z,de]}),De.highlightSegment(t.id,q,N,_,!0)})});let v=T.querySelector(`#${o}-curve-chart`);if(v){let u=F,w=F.map(q=>s[q].power||s[q].hr||s[q].val),E=document.createElement("div");E.className="cur-y-val",E.style.cssText=`color:${c};display:none;border-color:${c}44`,v.style.position="relative",v.appendChild(E);let N={id:`${o}-curve`,width:0,height:250,padding:[10,10,0,10],scales:{x:{time:!1,distr:3,auto:!0},y:{auto:!0}},series:[{},{label:a,stroke:c,width:2,fill:tt(c,.1),points:{show:!0,size:5,fill:c}}],axes:[{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},show:!0,values:()=>[],ticks:{show:!1},font:"10px system-ui, sans-serif",size:30},{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},values:(q,_)=>_.map(W=>`${W}${p}`),font:"10px system-ui, sans-serif",size:50}],cursor:{drag:{x:!1,y:!1},dataIdx:(q,_,W)=>W},hooks:{draw:[q=>{let _=q.ctx,W=window.devicePixelRatio||1,z=q.bbox,de=[1,2,5,10,20,30,60,120,300,600,1200,1800,3600,7200,10800],y=u[u.length-1];_.save(),_.fillStyle="#555564",_.textAlign="center",_.textBaseline="top",_.font=`${10*W}px system-ui, sans-serif`;let m=-100;de.forEach(r=>{if(r>y)return;let J=q.valToPos(r,"x",!0);J>m+30*W&&J{q.over.addEventListener("click",()=>{let _=q.cursor.idx;if(_!=null&&u[_]!=null){let W=u[_],de=s[W].idx,y=t.points,m=Math.min(y.length-1,de+W-1),r=y[0].time||0,J=((y[de].time||r)-r)/1e3,V=((y[m].time||r)-r)/1e3;Ye.patch({sel:[J,V]}),De.highlightSegment(t.id,y,de,m,!0)}})}],setCursor:[q=>{if(!q._ready)return;q.redraw(!1);let _=q.cursor.idx,W=q.ctx,z=window.devicePixelRatio||1,de=q.bbox,y=_!=null&&w[_]!=null&&q.cursor.left>=0,m=q.cursor.top,r=q.valToPos(w[_],"y",!1);if(y&&Math.abs(m-r)<40){let V=q.valToPos(u[_],"x",!1),ee=q.valToPos(w[_],"y",!1),U=u[_];E.innerHTML=`${_t(U)}: ${w[_]} ${p}`,E.style.transform=`translate(${V}px, ${ee}px) translate(15px, 15px)`,E.style.display="";let Q=q.valToPos(u[_],"x",!0),ke=q.valToPos(w[_],"y",!0);W.save(),W.beginPath(),W.setLineDash([2*z,2*z]),W.strokeStyle=tt(c,.4),W.lineWidth=1*z,W.moveTo(Q,de.top),W.lineTo(Q,de.top+de.height),W.stroke(),W.beginPath(),W.setLineDash([]),W.arc(Q,ke,3*z,0,Math.PI*2),W.fillStyle="#0e0e10",W.fill(),W.strokeStyle=c,W.lineWidth=2*z,W.stroke(),W.restore()}else E.style.display="none"}]},legend:{show:!1}};N.width=x||Math.round(n.getBoundingClientRect().width-42)||v.clientWidth||500;let G=new Wo(N,[u,w],v);G._ready=!0,Ws.push(G)}}function Oo(e,n){document.querySelectorAll(".hr-settings-popup").forEach(p=>p.remove());let t=document.createElement("div");t.className="hr-settings-popup";let s=ot.getHRZones();t.innerHTML=` + `,m?.appendChild(S)}),m?.querySelectorAll(".btn-show-peak").forEach(h=>{h.addEventListener("click",b=>{let p=b.currentTarget,S=parseInt(p.dataset.idx),_=parseInt(p.dataset.len),W=s.points,O=Math.min(W.length-1,S+_-1),Y=W[0].time||0,Z=((W[S].time||Y)-Y)/1e3,lt=((W[O].time||Y)-Y)/1e3;Gt.patch({sel:[Z,lt]}),Bt.highlightSegment(s.id,W,S,O,!0)})});let P=f.querySelector(`#${l}-curve-chart`);if(P){let h=k,b=k.map(W=>e[W].power||e[W].hr||e[W].val),p=document.createElement("div");p.className="cur-y-val",p.style.cssText=`color:${c};display:none;border-color:${c}44`,P.style.position="relative",P.appendChild(p);let S={id:`${l}-curve`,width:0,height:250,padding:[10,10,0,10],scales:{x:{time:!1,distr:3,auto:!0},y:{auto:!0}},series:[{},{label:i,stroke:c,width:2,fill:le(c,.1),points:{show:!0,size:5,fill:c}}],axes:[{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},show:!0,values:()=>[],ticks:{show:!1},font:"10px system-ui, sans-serif",size:30},{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},values:(W,O)=>O.map(Y=>`${Y}${a}`),font:"10px system-ui, sans-serif",size:50}],cursor:{drag:{x:!1,y:!1},dataIdx:(W,O,Y)=>Y},hooks:{draw:[W=>{let O=W.ctx,Y=window.devicePixelRatio||1,Z=W.bbox,lt=[1,2,5,10,20,30,60,120,300,600,1200,1800,3600,7200,10800],Ft=h[h.length-1];O.save(),O.fillStyle="#555564",O.textAlign="center",O.textBaseline="top",O.font=`${10*Y}px system-ui, sans-serif`;let rt=-100;lt.forEach(x=>{if(x>Ft)return;let v=W.valToPos(x,"x",!0);v>rt+30*Y&&v{W.over.addEventListener("click",()=>{let O=W.cursor.idx;if(O!=null&&h[O]!=null){let Y=h[O],lt=e[Y].idx,Ft=s.points,rt=Math.min(Ft.length-1,lt+Y-1),x=Ft[0].time||0,v=((Ft[lt].time||x)-x)/1e3,u=((Ft[rt].time||x)-x)/1e3;Gt.patch({sel:[v,u]}),Bt.highlightSegment(s.id,Ft,lt,rt,!0)}})}],setCursor:[W=>{if(!W._ready)return;W.redraw(!1);let O=W.cursor.idx,Y=W.ctx,Z=window.devicePixelRatio||1,lt=W.bbox,Ft=O!=null&&b[O]!=null&&W.cursor.left>=0,rt=W.cursor.top,x=W.valToPos(b[O],"y",!1);if(Ft&&Math.abs(rt-x)<40){let u=W.valToPos(h[O],"x",!1),N=W.valToPos(b[O],"y",!1),E=h[O];p.innerHTML=`${ze(E)}: ${b[O]} ${a}`,p.style.transform=`translate(${u}px, ${N}px) translate(15px, 15px)`,p.style.display="";let G=W.valToPos(h[O],"x",!0),U=W.valToPos(b[O],"y",!0);Y.save(),Y.beginPath(),Y.setLineDash([2*Z,2*Z]),Y.strokeStyle=le(c,.4),Y.lineWidth=1*Z,Y.moveTo(G,lt.top),Y.lineTo(G,lt.top+lt.height),Y.stroke(),Y.beginPath(),Y.setLineDash([]),Y.arc(G,U,3*Z,0,Math.PI*2),Y.fillStyle="#0e0e10",Y.fill(),Y.strokeStyle=c,Y.lineWidth=2*Z,Y.stroke(),Y.restore()}else p.style.display="none"}]},legend:{show:!1}};S.width=w||Math.round(n.getBoundingClientRect().width-42)||P.clientWidth||500;let _=new Zl(S,[h,b],P);_._ready=!0,js.push(_)}}function Jl(t,n){document.querySelectorAll(".hr-settings-popup").forEach(a=>a.remove());let s=document.createElement("div");s.className="hr-settings-popup";let e=Jt.getHRZones();s.innerHTML=`
Configure HR Zones (bpm)
Z1 / Z2 - +
Z2 / Z3 - +
Z3 / Z4 - +
Z4 / Z5 - +
- `;let o=e.getBoundingClientRect();t.style.cssText=` + `;let l=t.getBoundingClientRect();s.style.cssText=` position: fixed; z-index: 10000; background: var(--surface2); @@ -523,18 +625,18 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams( padding: 16px; width: 200px; box-shadow: 0 8px 32px rgba(0,0,0,0.6); - left: ${o.right-200}px; - top: ${o.bottom+8}px; - `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let p=t.querySelectorAll(".hr-zone-input"),c=Array.from(p).map(d=>parseInt(d.value)||0);for(let d=1;d{!t.contains(p.target)&&!e.contains(p.target)&&(t.remove(),document.removeEventListener("click",a))};setTimeout(()=>document.addEventListener("click",a),10)}function Yo(e,n){document.querySelectorAll(".pw-settings-popup").forEach(p=>p.remove());let t=document.createElement("div");t.className="pw-settings-popup";let s=ot.getFTP();t.innerHTML=` + left: ${l.right-200}px; + top: ${l.bottom+8}px; + `,document.body.appendChild(s),s.querySelector(".save-btn")?.addEventListener("click",async()=>{let a=s.querySelectorAll(".hr-zone-input"),c=Array.from(a).map(d=>parseInt(d.value)||0);for(let d=1;d{!s.contains(a.target)&&!t.contains(a.target)&&(s.remove(),document.removeEventListener("click",i))};setTimeout(()=>document.addEventListener("click",i),10)}function ti(t,n){document.querySelectorAll(".pw-settings-popup").forEach(a=>a.remove());let s=document.createElement("div");s.className="pw-settings-popup";let e=Jt.getFTP();s.innerHTML=`
Configure FTP (Watts)
Your FTP - +
- `;let o=e.getBoundingClientRect();t.style.cssText=` + `;let l=t.getBoundingClientRect();s.style.cssText=` position: fixed; z-index: 10000; background: var(--surface2); @@ -543,27 +645,27 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams( padding: 16px; width: 200px; box-shadow: 0 8px 32px rgba(0,0,0,0.6); - left: ${o.right-200}px; - top: ${o.bottom+8}px; - `,document.body.appendChild(t),t.querySelector(".save-btn")?.addEventListener("click",async()=>{let p=t.querySelector("#ftp-input"),c=parseInt(p.value)||200;ot.setFTP(c),await at.set("ftp",c),n.stats=ot.computeStats(n.points,!0),await at.save(n),Bt(n),t.remove(),Es(`FTP updated to ${c}W`)});let a=p=>{!t.contains(p.target)&&!e.contains(p.target)&&(t.remove(),document.removeEventListener("click",a))};setTimeout(()=>document.addEventListener("click",a),10)}import Vl from"uplot";var zt=[],qt=null,ft=null,gn="power",Jt="hr",bt=null,Lt=[],Ot=[],cn=null,Pt=!1;function Ss(){let e=document.getElementById("combined-time-val");if(e&&bt!==null&&Lt[bt]){let n=Lt[bt][2];e.textContent=`${ht(n)}`}}function Yl(){cn&&(clearInterval(cn),cn=null),ft&&(ft.destroy(),ft=null),zt=[],qt=null,gn="power",Jt="hr",bt=null,Lt=[],Ot=[],Pt=!1;let e=document.getElementById("combined-tooltip");e&&e.remove();let n=document.getElementById("combined-view");n&&(n.innerHTML=` + left: ${l.right-200}px; + top: ${l.bottom+8}px; + `,document.body.appendChild(s),s.querySelector(".save-btn")?.addEventListener("click",async()=>{let a=s.querySelector("#ftp-input"),c=parseInt(a.value)||200;Jt.setFTP(c),await ce.set("ftp",c),n.stats=Jt.computeStats(n.points,!0),await ce.save(n),be(n),s.remove(),Ls(`FTP updated to ${c}W`)});let i=a=>{!s.contains(a.target)&&!t.contains(a.target)&&(s.remove(),document.removeEventListener("click",i))};setTimeout(()=>document.addEventListener("click",i),10)}import tl from"uplot";var Te=[],$e=null,pe=null,fn="power",Qe="hr",ve=null,Ie=[],Xe=[],pn=null,He=!1;function jn(){let t=document.getElementById("combined-time-val");if(t&&ve!==null&&Ie[ve]){let n=Ie[ve][2];t.textContent=`${he(n)}`}}function nl(){pn&&(clearInterval(pn),pn=null),pe&&(pe.destroy(),pe=null),Te=[],$e=null,fn="power",Qe="hr",ve=null,Ie=[],Xe=[],He=!1;let t=document.getElementById("combined-tooltip");t&&t.remove();let n=document.getElementById("combined-view");n&&(n.innerHTML=`
no_sim
Select a track for combined analysis
- `)}var Os=16384,zs=Array.from({length:8},()=>new Float64Array(Os)),qs=Array.from({length:8},()=>new Float64Array(Os)),Us=new Int32Array(8),Vs=new Float64Array(32*32),jo=[2,3,5,8,10,12,15,20,25,30,40,45,60,75,90,120,150,180,240,300];function dn(e,n=[]){Array.isArray(e)?(zt=e,qt=e[0]||null):e?(zt=[e],qt=e):(zt=[],qt=null);let t=document.getElementById("combined-view");if(!t)return;let s=qt;if(!s){t.innerHTML=` + `)}var ei=16384,Gs=new Float64Array(32*32);function ni(t,n){let s=n.length>=2?n:t,e=Math.min(s.length,8);Gs.fill(0);let l=[{label:"Power vs Heart Rate",getX:A=>A.power,getY:A=>A.hr},{label:"Speed vs Gradient",getX:A=>A.speed!=null?A.speed*3.6:void 0,getY:A=>A.gradient},{label:"Cadence vs Power",getX:A=>A.cad,getY:A=>A.power},{label:"Elevation vs VAM",getX:A=>A.ele,getY:A=>A.verticalSpeed},{label:"Temperature vs HR",getX:A=>A.temp,getY:A=>A.hr}],i=0,a=0,c=[];for(let A=0;A2){let S=$/h,_=M/h,W=Math.max(0,m/h-S*S),O=Math.max(0,k/h-_*_),Y=P/h-S*_,Z=Math.sqrt(W*O);b=Z>1e-9?Y/Z:0,p=W>1e-9?Y/W:0}i+=h,a+=Math.abs(b)*100+Math.abs(p),c.push({pairLabel:C.label,rVal:b,slope:p,samples:h})}for(let A=0;A<1024;A++)a+=Gs[A]*.001;let d=["Q1 (0\u201325%)","Q2 (25\u201350%)","Q3 (50\u201375%)","Q4 (75\u2013100%)"],w=[],g=t[0],f=t[1]||t[0];for(let A=0;A<4;A++){let C=A*.25,$=(A+1)*.25,M=h=>{let b=h.points||[],p=Math.floor(b.length*C),S=Math.max(p+1,Math.floor(b.length*$)),_=0,W=0,O=0,Y=0;for(let Z=p;Z0?Math.round(_/Y):0,hr:Y>0?Math.round(W/Y):0,speedKmh:Y>0?O/Y:0}},m=M(g),k=M(f),P=0;for(let h=0;h0?Math.round(P/e):0})}return{aggPts:i,corrSum:a,correlations:c,sectionRows:w}}function Zs(t,n){fn=t,Qe=n,Te.length>=2?Fe(Te):$e&&Fe($e)}function Zn(t){He!==t&&(He=t,Te.length>=2?Fe(Te):$e&&Fe($e))}function Xn(t){let n=Math.max(0,Math.min(1,t)),s=Ie.length>0?Ie.length-1:$e?Math.max(0,$e.points.length-1):0;ve=Math.round(n*s);let e=document.getElementById("combined-time-slider");e&&(e.max=`${s}`,e.value=`${ve}`),jn(),pe&&pe.redraw()}function Fe(t,n=[]){Array.isArray(t)?(Te=t,$e=t[0]||null):t?(Te=[t],$e=t):(Te=[],$e=null);let s=document.getElementById("combined-view");if(!s)return;let e=$e;if(!e){s.innerHTML=`
no_sim
Select a track for combined analysis
- `;return}let o=Se.METRICS,a=[];for(let C in o){let k=o[C];s.points.some(f=>f[k.field]!=null)&&a.push(C)}!a.includes(gn)&&a.length>0&&(gn=a[0]),!a.includes(Jt)&&a.length>1?Jt=a[1]:!a.includes(Jt)&&a.length>0&&(Jt=a[0]);let p=o[gn],c=o[Jt];t.style.overflow="hidden";let d="";if(zt.length>=2){let C=n.length>=2?n:zt,k=Math.min(C.length,8);Vs.fill(0);for(let re=0;re=me){let ne=I-me;Ce-=H[ne],Re-=Ie[ne],le-=oe[ne],ye-=he[ne];let Ne=Ce*fe,Z=Re*fe,Be=le*fe,xe=ye*fe,Ee=Ne-Z,Me=Be-xe,be=Math.exp(-Ee*Ee*Pe),we=1/(1+Me*Me*Pe);F+=Ne*Z*be+Be*xe*we,f++}}}}}for(let re=0;re<1024;re++)F+=Vs[re]*.001;let v=zt[0],u=zt[1],w=v.stats,E=u.stats,N=((E.totalDist-w.totalDist)/1e3).toFixed(2),G=((E.avgPower||0)-(w.avgPower||0)).toFixed(0),q=((E.avgHR||0)-(w.avgHR||0)).toFixed(0),_=(E.elevGain-w.elevGain).toFixed(0),W=(E.shifts||0)-(w.shifts||0),z=((w.totalDist+E.totalDist)/1e3).toFixed(2),de=(w.elevGain+E.elevGain).toFixed(0),y=((w.duration||0)+(E.duration||0))/1e3,m=Math.round(((w.avgPower||0)+(E.avgPower||0))/2),r=Math.max(w.maxPower||0,E.maxPower||0),J=Math.round(((w.avgHR||0)+(E.avgHR||0))/2),V=Math.max(w.maxHR||0,E.maxHR||0),ee=((E.avgTemp??0)-(w.avgTemp??0)).toFixed(1),U=(((w.avgTemp??0)+(E.avgTemp??0))/2).toFixed(1),Q=Math.max(w.maxTemp??0,E.maxTemp??0).toFixed(1),ke=(w.shifts||0)+(E.shifts||0);d=` -
-
Aggregate Track Comparison & Analysis
+ `;return}let l=ft.METRICS,i=[];for(let $ in l){let M=l[$];e.points.some(m=>m[M.field]!=null)&&i.push($)}!i.includes(fn)&&i.length>0&&(fn=i[0]),!i.includes(Qe)&&i.length>1?Qe=i[1]:!i.includes(Qe)&&i.length>0&&(Qe=i[0]);let a=l[fn],c=l[Qe];s.style.overflow="hidden";let d="";if(Te.length>=2){let{aggPts:$,corrSum:M,correlations:m,sectionRows:k}=ni(Te,n),P=Te[0],h=Te[1],b=P.stats,p=h.stats,S=((p.totalDist-b.totalDist)/1e3).toFixed(2),_=((p.avgPower||0)-(b.avgPower||0)).toFixed(0),W=((p.avgHR||0)-(b.avgHR||0)).toFixed(0),O=(p.elevGain-b.elevGain).toFixed(0),Y=(p.shifts||0)-(b.shifts||0),Z=((b.totalDist+p.totalDist)/1e3).toFixed(2),lt=(b.elevGain+p.elevGain).toFixed(0),Ft=((b.duration||0)+(p.duration||0))/1e3,rt=Math.round(((b.avgPower||0)+(p.avgPower||0))/2),x=Math.max(b.maxPower||0,p.maxPower||0),v=Math.round(((b.avgHR||0)+(p.avgHR||0))/2),u=Math.max(b.maxHR||0,p.maxHR||0),N=((p.avgTemp??0)-(b.avgTemp??0)).toFixed(1),E=(((b.avgTemp??0)+(p.avgTemp??0))/2).toFixed(1),G=Math.max(b.maxTemp??0,p.maxTemp??0).toFixed(1),U=(b.shifts||0)+(p.shifts||0);d=` +
+
Aggregate Track Comparison & Section Analysis (${Te.length} Tracks)
- - + + @@ -571,64 +673,75 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams( - - - - + + + + - - - - + + + + - - + + - + - - - - + + + + - - - - + + + + - - - - + + + + - + - - - - + + + + + ${k.map(j=>` + + + + + + + `).join("")}
Metric${v.displayName||v.name} (T1)${u.displayName||u.name} (T2)${P.displayName||P.name} (T1)${h.displayName||h.name} (T2) Delta (T2 - T1) Aggregate Summary
Distance${(w.totalDist/1e3).toFixed(2)} km${(E.totalDist/1e3).toFixed(2)} km${Number(N)>=0?"+":""}${N} km${z} km (Total)${(b.totalDist/1e3).toFixed(2)} km${(p.totalDist/1e3).toFixed(2)} km${Number(S)>=0?"+":""}${S} km${Z} km (Total)
Elevation Gain${w.elevGain.toFixed(0)} m${E.elevGain.toFixed(0)} m${Number(_)>=0?"+":""}${_} m${de} m (Total)${b.elevGain.toFixed(0)} m${p.elevGain.toFixed(0)} m${Number(O)>=0?"+":""}${O} m${lt} m (Total)
Duration${w.duration?ht(w.duration/1e3):"--"}${E.duration?ht(E.duration/1e3):"--"}${b.duration?he(b.duration/1e3):"--"}${p.duration?he(p.duration/1e3):"--"} --${ht(y)} (Total)${he(Ft)} (Total)
Avg / Max Power${w.avgPower||0} W / ${w.maxPower||0} W${E.avgPower||0} W / ${E.maxPower||0} W${Number(G)>=0?"+":""}${G} W (Avg)${m} W (Avg) / ${r} W (Max)${b.avgPower||0} W / ${b.maxPower||0} W${p.avgPower||0} W / ${p.maxPower||0} W${Number(_)>=0?"+":""}${_} W (Avg)${rt} W (Avg) / ${x} W (Max)
Avg / Max HR${w.avgHR||0} bpm / ${w.maxHR||0} bpm${E.avgHR||0} bpm / ${E.maxHR||0} bpm${Number(q)>=0?"+":""}${q} bpm (Avg)${J} bpm (Avg) / ${V} bpm (Max)${b.avgHR||0} bpm / ${b.maxHR||0} bpm${p.avgHR||0} bpm / ${p.maxHR||0} bpm${Number(W)>=0?"+":""}${W} bpm (Avg)${v} bpm (Avg) / ${u} bpm (Max)
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${j.sectionLabel} Split${j.t1Power}W \xB7 ${j.t1Hr}bpm \xB7 ${j.t1SpeedKmh.toFixed(1)}km/h${j.t2Power}W \xB7 ${j.t2Hr}bpm \xB7 ${j.t2SpeedKmh.toFixed(1)}km/h${j.t2Power-j.t1Power>=0?"+":""}${j.t2Power-j.t1Power}WCohort Avg: ${j.cohortAvgPower}W
+
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Point #${M}
Time: - ${ht(v)} + ${he(P)}
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- ${t.label}: - ${t.fmtAxis(w)} ${t.unit} + ${s.label}: + ${s.fmtAxis(b)} ${s.unit}
- ${s.label}: - ${s.fmtAxis(E)} ${s.unit} + ${e.label}: + ${e.fmtAxis(p)} ${e.unit}
- `,f.style.display="block";let N=C.over.getBoundingClientRect();f.style.left=`${N.left+window.scrollX+C.cursor.left+15}px`,f.style.top=`${N.top+window.scrollY+C.cursor.top+15}px`}else f.style.display="none"}]}};e.querySelector(".empty-text")&&(e.innerHTML=""),ft&&ft.destroy(),ft=new Vl(M,[d,x],e),ft.over.addEventListener("click",()=>{if(ft){let C=ft.cursor.idx;if(C!=null&&Ot[C]){let k=Ot[C][4];Se.setCursorAt(k)}}}),Zn()}import An from"uplot";function jl(e,n){let t=0;for(let E=0;Et&&(t=N)}t||(t=Date.UTC(2026,7,1));let s=new Date(t),o=s.getUTCFullYear(),a=Date.UTC(o-1,s.getUTCMonth(),s.getUTCDate(),s.getUTCHours(),s.getUTCMinutes(),s.getUTCSeconds()),p=Date.UTC(o,s.getUTCMonth()-6,s.getUTCDate(),s.getUTCHours(),s.getUTCMinutes(),s.getUTCSeconds()),c=Date.UTC(o,s.getUTCMonth()-1,s.getUTCDate(),s.getUTCHours(),s.getUTCMinutes(),s.getUTCSeconds()),d=0,x=0,g=0,T=0,$=0,M=t;e.forEach(E=>{if(!E.stats.startTime)return;let N=n(E);if(N===void 0)return;$+=N;let G=E.stats.startTime;G=a&&(x+=N),G>=p&&(g+=N),G>=c&&(T+=N)});let C=7*24*60*60*1e3,k=Date.UTC(o,0,1),f=Math.max(.1,(t-k)/C),F=Math.max(.1,(t-a)/C),v=Math.max(.1,(t-p)/C),u=Math.max(.1,(t-c)/C),w=Math.max(.1,(t-M)/C);return{currentYear:d,pastYear:x,past6m:g,past1m:T,total:$,currentYearAvg:d/f,pastYearAvg:x/F,past6mAvg:g/v,past1mAvg:T/u,totalAvg:$/w}}function Zl(e,n,t){let s=n?1e3:1,o=a=>(n?a/s:a).toLocaleString("en-US",{minimumFractionDigits:n?1:0,maximumFractionDigits:n?1:0});return` + `,m.style.display="block";let S=$.over.getBoundingClientRect();m.style.left=`${S.left+window.scrollX+$.cursor.left+15}px`,m.style.top=`${S.top+window.scrollY+$.cursor.top+15}px`}else m.style.display="none"}]}};t.querySelector(".empty-text")&&(t.innerHTML=""),pe&&pe.destroy(),pe=new tl(C,[d,w],t),pe.over.addEventListener("click",()=>{if(pe){let $=pe.cursor.idx;if($!=null&&Xe[$]){let M=Xe[$][4];ft.setCursorAt(M)}}}),Gn()}import An from"uplot";function gn(t,n){let s=0;for(let p=0;ps&&(s=S)}s||(s=Date.UTC(2026,7,1));let e=new Date(s),l=e.getUTCFullYear(),i=Date.UTC(l-1,e.getUTCMonth(),e.getUTCDate(),e.getUTCHours(),e.getUTCMinutes(),e.getUTCSeconds()),a=Date.UTC(l,e.getUTCMonth()-6,e.getUTCDate(),e.getUTCHours(),e.getUTCMinutes(),e.getUTCSeconds()),c=Date.UTC(l,e.getUTCMonth()-1,e.getUTCDate(),e.getUTCHours(),e.getUTCMinutes(),e.getUTCSeconds()),d=0,w=0,g=0,f=0,A=0,C=s;t.forEach(p=>{if(!p.stats.startTime)return;let S=n(p);if(S===void 0)return;A+=S;let _=p.stats.startTime;_=i&&(w+=S),_>=a&&(g+=S),_>=c&&(f+=S)});let $=7*24*60*60*1e3,M=Date.UTC(l,0,1),m=Math.max(.1,(s-M)/$),k=Math.max(.1,(s-i)/$),P=Math.max(.1,(s-a)/$),h=Math.max(.1,(s-c)/$),b=Math.max(.1,(s-C)/$);return{currentYear:d,pastYear:w,past6m:g,past1m:f,total:A,currentYearAvg:d/m,pastYearAvg:w/k,past6mAvg:g/P,past1mAvg:f/h,totalAvg:A/b}}function sl(t,n,s){let e=n?1e3:1,l=i=>(n?i/e:i).toLocaleString("en-US",{minimumFractionDigits:n?1:0,maximumFractionDigits:n?1:0});return` @@ -694,106 +807,140 @@ var Ye=(()=>{let e={},n=null,t=null,s=!1;function o(){let g=new URLSearchParams( - - + + - - + + - - + + - - + + - - + +
Current Year${o(e.currentYear)} ${t}${o(e.currentYearAvg)} ${t}${l(t.currentYear)} ${s}${l(t.currentYearAvg)} ${s}
Past Year${o(e.pastYear)} ${t}${o(e.pastYearAvg)} ${t}${l(t.pastYear)} ${s}${l(t.pastYearAvg)} ${s}
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Past 1 Month${o(e.past1m)} ${t}${o(e.past1mAvg)} ${t}${l(t.past1m)} ${s}${l(t.past1mAvg)} ${s}
Total${o(e.total)} ${t}${o(e.totalAvg)} ${t}${l(t.total)} ${s}${l(t.totalAvg)} ${s}
- `}var In=[];function Kl(){In.forEach(e=>e.destroy()),In=[]}function eo(){Kl();let e=document.getElementById("evolution-view");e&&(e.innerHTML=` + `}function oi(t){let n=gn(t,c=>c.stats.totalDist),s=gn(t,c=>c.stats.elevGain),e=gn(t,c=>c.stats.duration?c.stats.duration/36e5:0),l=gn(t,c=>{let d=(c.stats.duration||0)/1e3,w=c.stats.avgPower||150,g=200,f=w/g;return d*w*f/(g*3600)*100}),i=gn(t,c=>{let d=(c.stats.duration||0)/1e3,w=c.stats.avgPower||0;return d*w/1e3}),a=gn(t,c=>(c.stats.sections||[]).filter(w=>w.kind==="climb").length);return{distance:n,elevation:s,durationHours:e,tss:l,workKj:i,climbCount:a}}function ol(t){let n=oi(t),s=(l,i=1)=>l.toLocaleString("en-US",{minimumFractionDigits:i,maximumFractionDigits:i});return` +
+
+
+ monitoring + Accumulated Longitudinal Progress Summary +
+
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Delete all tracks?
This will permanently remove all tracks from your browser storage. This action cannot be undone.
-
Enter "${e}" to confirm:
+
Enter "${t}" to confirm:
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Click to view details.`):k.classList.add("hidden"));let f=Tt.length>n;if(!f&&t&&t.classList.add("hidden"),d>0&&(ks(`Imported ${d} track${d>1?"s":""}`),kt(!!x&&x!==Oe),x&&Mt(x)),f){let F=document.querySelector(".loader-icon-wrap span");F&&(F.textContent="warning"),await new Promise(v=>setTimeout(v,1500))}}finally{t&&t.classList.add("hidden")}}function vi(){let e=document.getElementById("metric-pills");if(!e)return;let n=null;e.addEventListener("dragstart",t=>{let s=t.target.closest(".metric-pill");s&&(n=s,t.dataTransfer.effectAllowed="move",s.classList.add("dragging-pill"),setTimeout(()=>s.style.opacity="0.4",0))}),e.addEventListener("dragover",t=>{t.preventDefault(),t.dataTransfer.dropEffect="move";let s=t.target.closest(".metric-pill");if(s&&s!==n){let o=s.getBoundingClientRect(),a=t.clientX-o.left>o.width/2;e.insertBefore(n,a?s.nextSibling:s)}}),e.addEventListener("dragend",()=>{if(!n)return;n.classList.remove("dragging-pill"),n.style.opacity="",n=null;let t=Array.from(e.querySelectorAll(".metric-pill")).map(s=>s.dataset.metric);Se.updateMetricOrder(t),Zs()})}function Dn(){let e=document.getElementById("chart-toolbar"),n=document.getElementById("metric-pills");if(!e||!n)return;e.classList.remove("collapsed");let t=Math.max(0,e.clientWidth-280),s=0,o=!1;Array.from(n.children).forEach(p=>{let c=p;if(c.id==="pill-overflow"||(c.classList.remove("overflow-hidden"),!c.classList.contains("active")))return;let x=36+(c.dataset.metric||"").length*6;s+=x+6,s>t&&(o=!0,c.classList.add("overflow-hidden"))});let a=document.getElementById("pill-overflow");a&&a.classList.toggle("hidden",!o),o&&e.classList.add("collapsed")}document.addEventListener("DOMContentLoaded",si);export{Mt as selectTrack}; + `,document.body.appendChild(t);let s=t.querySelector(".modal-btn.cancel"),e=t.querySelector(".modal-btn.clear"),l=()=>t.remove();s.addEventListener("click",l),e.addEventListener("click",()=>{Pe=[],l();let i=document.getElementById("import-warning");i&&i.classList.add("hidden")}),t.addEventListener("click",i=>{i.target===t&&l()})}function Ci(){let t=document.getElementById("drop-zone");if(!t)return;let n=document.getElementById("import-warning");n&&n.addEventListener("click",s=>{s.stopPropagation(),ki()}),window.addEventListener("dragover",s=>{s.preventDefault(),t.classList.add("drop-active")}),window.addEventListener("dragleave",s=>{s.relatedTarget===null&&t.classList.remove("drop-active")}),window.addEventListener("drop",async s=>{s.preventDefault(),t.classList.remove("drop-active");let e=s.dataTransfer?.items;if(!e)return;let l=[],i=[];for(let c=0;cc.file(w));l.push(d)}else if(c.isDirectory){let d=c.createReader(),w=[],g;do g=await new Promise(f=>d.readEntries(f)),w.push(...g);while(g.length>0);for(let f of w)await a(f)}}for(let c of i)await a(c);l.length&&Ds(l)})}async function Ds(t){if(!t.length)return;Dn=!1;let n=Pe.length,s=document.getElementById("global-loader"),e=document.getElementById("loader-text"),l=document.getElementById("loader-subtext"),i=document.getElementById("loader-progress-bar"),a=document.getElementById("loader-close");a&&a.addEventListener("click",()=>{Dn=!0,s&&s.classList.add("hidden")});function c(){let d=document.querySelector(".loader-icon-wrap span");d&&(d.textContent="warning",d.style.color="#f59e0b");let w=document.getElementById("loader-warning-count");if(w){let g=Pe.length-n,f=w.querySelector("span");f&&(f.textContent=`${g}`),w.style.display="flex"}}if(s){e&&(e.textContent=`Importing ${t.length} file${t.length>1?"s":""}`);let d=document.querySelector(".loader-icon-wrap span");d&&(d.textContent="download",d.style.color="var(--accent)");let w=document.getElementById("loader-warning-count");if(w){w.style.display="none";let g=w.querySelector("span");g&&(g.textContent="0")}l&&(l.textContent=""),i&&(i.style.width="0%"),s.classList.remove("hidden"),Pe.length>n&&c()}try{let d=0,w=null,g=0,f=t.filter(k=>{let P=k.name.toLowerCase();return P.endsWith(".gpx")||P.endsWith(".fit")||P.endsWith(".tcx")||P.endsWith(".kml")});if(t.filter(k=>!f.includes(k)).forEach(k=>{Pe.push({name:k.name,reason:"Unsupported file format"})}),f.length===0){if(t.length>0){Fs("No valid GPS files found","error");let k=document.getElementById("import-warning");k&&Pe.length>0&&(k.classList.remove("hidden"),k.title=`Skipped ${Pe.length} imports. Click to view details.`)}return}let C=document.getElementById("loader-filename"),$=null;if(l){l.innerHTML='',$=l.querySelector(".progress-index");let k=l.querySelector(".progress-total");k&&(k.textContent=f.length.toString())}for(let k=0;kx.fileName===P.name&&x.fileSize===P.size)){Pe.push({name:P.name,reason:"Same File"}),c();continue}let S=h.stats.startTime,_=h.stats.duration;if(S!=null&&_!=null){let x=S+_,v=b.filter(N=>N.stats.startTime!=null&&di(S,N.stats.startTime)),u=!1;for(let N of v){let E=N.stats.startTime,G=N.stats.duration,U=E+G;if(S>=E&&x<=U){Pe.push({name:P.name,reason:"Fully contained in another track"}),c(),u=!0;break}if(Math.min(x,U)-Math.max(S,E)>6e5){Pe.push({name:P.name,reason:"Overlaps with an existing track for more than 10 mins"}),c(),u=!0;break}}if(u)continue}let W=17855424e5,O=wo(h.stats.startTime||W);Ut[O]&&(O+=`-${To()}`);let Y=h.name;(Y.startsWith("Unnamed")||Y.startsWith("Fit Activity"))&&(Y=P.name);let Z=Y,lt=h.points[0]?.time,Ft=h.sport?h.sport.charAt(0).toUpperCase()+h.sport.slice(1):"Activity";if(lt){let x=new Date(lt);Z=`${x.getUTCFullYear()}-${String(x.getUTCMonth()+1).padStart(2,"0")}-${String(x.getUTCDate()).padStart(2,"0")} ${Ft}`}else Z=Y.replace(/\.[^/.]+$/,"").replace(/_/g," ");let rt={...h,id:O,name:Y,displayName:Z,fileName:P.name,fileSize:P.size,bounds:Ss(h.points)||void 0,simplifiedPoints:Ms(h.points,50),addedAt:h.stats.startTime||W,visible:!0,color:ss[os%ss.length]};if(os++,Dn)break;await ce.save(rt),Ut[O]=rt,Bt.addTrack(rt),w||(w=O),d++,g++,g>=5&&(g=0)}catch(h){Pe.push({name:P.name,reason:`Parse error: ${h instanceof Error?h.message:String(h)}`}),c()}}let M=document.getElementById("import-warning");M&&(Pe.length>0?(M.classList.remove("hidden"),M.title=`Skipped ${Pe.length} imports. Click to view details.`):M.classList.add("hidden"));let m=Pe.length>n;if(!m&&s&&s.classList.add("hidden"),d>0&&(Fs(`Imported ${d} track${d>1?"s":""}`),Se(!!w&&w!==Zt),w&&_e(w)),m){let k=document.querySelector(".loader-icon-wrap span");k&&(k.textContent="warning"),await new Promise(P=>setTimeout(P,1500))}}finally{s&&s.classList.add("hidden")}}function $i(){let t=document.getElementById("metric-pills");if(!t)return;let n=null;t.addEventListener("dragstart",s=>{let e=s.target.closest(".metric-pill");e&&(n=e,s.dataTransfer.effectAllowed="move",e.classList.add("dragging-pill"),setTimeout(()=>e.style.opacity="0.4",0))}),t.addEventListener("dragover",s=>{s.preventDefault(),s.dataTransfer.dropEffect="move";let e=s.target.closest(".metric-pill");if(e&&e!==n){let l=e.getBoundingClientRect(),i=s.clientX-l.left>l.width/2;t.insertBefore(n,i?e.nextSibling:e)}}),t.addEventListener("dragend",()=>{if(!n)return;n.classList.remove("dragging-pill"),n.style.opacity="",n=null;let s=Array.from(t.querySelectorAll(".metric-pill")).map(e=>e.dataset.metric);ft.updateMetricOrder(s),Js()})}function ls(){let t=document.getElementById("chart-toolbar"),n=document.getElementById("metric-pills");if(!t||!n)return;t.classList.remove("collapsed");let s=Math.max(0,t.clientWidth-280),e=0,l=!1;Array.from(n.children).forEach(a=>{let c=a;if(c.id==="pill-overflow"||(c.classList.remove("overflow-hidden"),!c.classList.contains("active")))return;let w=36+(c.dataset.metric||"").length*6;e+=w+6,e>s&&(l=!0,c.classList.add("overflow-hidden"))});let i=document.getElementById("pill-overflow");i&&i.classList.toggle("hidden",!l),l&&t.classList.add("collapsed")}document.addEventListener("DOMContentLoaded",pi);export{_e as selectTrack}; //# sourceMappingURL=tools-gps-tracks.mjs.map diff --git a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map index 887a02a6be..6846e9a4d8 100644 --- a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map +++ b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["../src/url-state.ts", "../src/storage.ts", "../src/parsers.ts", "../src/utils.ts", "../src/map.ts", "../src/charts.ts", "../src/zones.ts", "../src/metrics.ts", "../src/sports.ts", "../src/tabs/details.ts", "../src/tabs/insights.ts", "../src/tabs/courses.ts", "../src/tabs/combined.ts", "../src/tabs/progress.ts", "../src/tabs/accumulated_progress.ts", "../src/app.ts"], - "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 URL State \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n// Handles reading/writing application state to the URL.\n// Uses an incremental \"patch\" approach to preserve existing params.\n\nexport interface AppState {\n track?: string;\n map?: string;\n xaxis?: string;\n metrics?: string[];\n f_date?: (string | null)[];\n f_dist?: (number | null)[];\n f_dur?: (number | null)[];\n f_mets?: string[];\n f_tags?: string[];\n q?: string;\n re?: boolean;\n sort?: string;\n map_pos?: [number, number, number];\n storage?: 'memory' | 'indexeddb';\n sel?: [number, number];\n sel_point?: number;\n tab?: string;\n progress?: string;\n speed_mode?: string;\n}\n\nexport const UrlState = (() => {\n // Internal state object, initialized from current URL.\n let _state: AppState = {};\n let _lastSearch: string | null = null;\n let _syncTimeout: any = null;\n let _shouldPush = false;\n\n function read(): AppState {\n const p = new URLSearchParams(location.search);\n const s: AppState = {};\n\n if (p.has('track')) s.track = p.get('track')!;\n if (p.has('map')) s.map = p.get('map')!;\n if (p.has('xaxis')) s.xaxis = p.get('xaxis')!;\n if (p.has('tab')) s.tab = p.get('tab')!;\n if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point'));\n if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!;\n if (p.has('progress')) s.progress = p.get('progress')!;\n const metricsRaw = p.get('metrics');\n if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean);\n\n if (p.has('f_date')) {\n s.f_date = p\n .get('f_date')!\n .split(',')\n .map((v) => v || null);\n }\n if (p.has('f_dist')) {\n s.f_dist = p\n .get('f_dist')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_dur')) {\n s.f_dur = p\n .get('f_dur')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(',');\n if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(',');\n\n if (p.has('q')) s.q = p.get('q')!;\n if (p.has('re')) s.re = p.get('re') === '1';\n if (p.has('sort')) {\n const v = p.get('sort')!;\n const isDesc = v.startsWith('-');\n const field = isDesc ? v.substring(1) : v;\n s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`;\n }\n\n if (p.has('map_pos')) {\n const parts = p.get('map_pos')!.split(',').map(Number);\n if (parts.length === 3 && parts.every(isFinite))\n s.map_pos = parts as [number, number, number];\n }\n\n if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb';\n if (p.has('sel')) {\n const parts = p.get('sel')!.split(',').map(Number);\n if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v)))\n s.sel = parts as [number, number];\n }\n\n return s;\n }\n\n // Sync _state to browser URL synchronously so no pending timer leaks across steps\n function _sync() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n\n const p = new URLSearchParams();\n\n // Add standard encoded params\n if (_state.track) p.set('track', _state.track);\n if (_state.map) p.set('map', _state.map);\n if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis);\n if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab);\n if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage);\n if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point));\n if (_state.speed_mode) p.set('speed_mode', _state.speed_mode);\n if (_state.q) p.set('q', _state.q);\n if (_state.progress) p.set('progress', _state.progress);\n if (_state.re) p.set('re', '1');\n\n if (_state.sort) {\n const parts = _state.sort.split('-');\n const field = parts[0];\n const dir = parts[1];\n p.set('sort', (dir === 'desc' ? '-' : '') + field);\n }\n\n let search = p.toString();\n\n // Add comma-separated params (literal commas for cleaner URL)\n if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`;\n\n if (_state.f_date)\n search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`;\n\n if (_state.f_dist)\n search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_dur)\n search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`;\n\n if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`;\n\n if (_state.map_pos) {\n const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${\n _state.map_pos[2]\n }`;\n search += `${search ? '&' : ''}map_pos=${val}`;\n }\n if (_state.sel) {\n const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`;\n search += `${search ? '&' : ''}sel=${val}`;\n }\n\n if (search !== _lastSearch) {\n const url = location.pathname + (search ? `?${search}` : '');\n try {\n if (_shouldPush) {\n history.pushState(null, '', url);\n _shouldPush = false;\n } else {\n history.replaceState(null, '', url);\n }\n } catch (_) {\n _shouldPush = false;\n }\n _lastSearch = search;\n }\n }\n\n // Initial read\n _state = read();\n\n function get(): AppState {\n return { ..._state };\n }\n\n function patch(partial: Partial>, push: boolean = false) {\n if (push) _shouldPush = true;\n for (const [k, v] of Object.entries(partial)) {\n const key = k as keyof AppState;\n if (v === null || v === undefined) delete _state[key];\n else (_state as any)[key] = v;\n }\n _sync();\n }\n\n function refresh() {\n _state = read();\n }\n\n function reset() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n _state = {};\n _shouldPush = false;\n _lastSearch = '';\n try {\n history.replaceState(null, '', location.pathname);\n } catch (_) {}\n }\n\n return { get, patch, refresh, reset };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport { TrackData } from './parsers';\nimport { UrlState } from './url-state';\n\nexport interface StorageDriver {\n openDB(): Promise;\n save(track: TrackData): Promise;\n getAll(): Promise;\n remove(id: string): Promise;\n clear(): Promise;\n set(key: string, value: any): Promise;\n get(key: string): Promise;\n}\n\nclass InMemoryStorage implements StorageDriver {\n private trackStore = new Map();\n private settingStore = new Map();\n\n async openDB(): Promise {\n return Promise.resolve();\n }\n\n async save(track: TrackData): Promise {\n this.trackStore.set(track.id, track);\n return Promise.resolve();\n }\n\n async getAll(): Promise {\n return Promise.resolve(Array.from(this.trackStore.values()));\n }\n\n async remove(id: string): Promise {\n this.trackStore.delete(id);\n return Promise.resolve();\n }\n\n async clear(): Promise {\n this.trackStore.clear();\n this.settingStore.clear();\n return Promise.resolve();\n }\n\n async set(key: string, value: any): Promise {\n this.settingStore.set(key, value);\n return Promise.resolve();\n }\n\n async get(key: string): Promise {\n return Promise.resolve((this.settingStore.get(key) as T) ?? null);\n }\n}\n\nclass IndexedDBStorage implements StorageDriver {\n private db: IDBDatabase | null = null;\n private readonly DB_NAME = 'weg-gps-db';\n private readonly DB_VERSION = 2;\n\n async openDB(): Promise {\n return new Promise((resolve, reject) => {\n const req = indexedDB.open(this.DB_NAME, this.DB_VERSION);\n req.onupgradeneeded = () => {\n const db = req.result;\n if (!db.objectStoreNames.contains('tracks'))\n db.createObjectStore('tracks', { keyPath: 'id' });\n if (!db.objectStoreNames.contains('settings')) db.createObjectStore('settings');\n };\n req.onsuccess = () => {\n this.db = req.result;\n resolve();\n };\n req.onerror = () => reject(req.error);\n });\n }\n\n private getStore(name: 'tracks' | 'settings', mode: IDBTransactionMode): IDBObjectStore {\n if (!this.db) throw new Error('IndexedDB not opened');\n return this.db.transaction(name, mode).objectStore(name);\n }\n\n async save(track: TrackData): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').put(track);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async getAll(): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readonly').getAll();\n req.onsuccess = () => res(req.result || []);\n req.onerror = () => rej(req.error);\n });\n }\n\n async remove(id: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').delete(id);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async clear(): Promise {\n if (!this.db) return Promise.resolve();\n return new Promise((res, rej) => {\n const tx = this.db!.transaction(['tracks', 'settings'], 'readwrite');\n tx.objectStore('tracks').clear();\n tx.objectStore('settings').clear();\n tx.oncomplete = () => res();\n tx.onerror = () => rej(tx.error);\n });\n }\n\n async set(key: string, value: any): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readwrite').put(value, key);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async get(key: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readonly').get(key);\n req.onsuccess = () => res((req.result as T) ?? null);\n req.onerror = () => rej(req.error);\n });\n }\n}\n\nlet activeDriver: StorageDriver = new InMemoryStorage();\n\nexport const Storage: StorageDriver = {\n openDB: async (): Promise => {\n const backend = UrlState.get().storage;\n activeDriver = backend === 'indexeddb' ? new IndexedDBStorage() : new InMemoryStorage();\n await activeDriver.openDB();\n },\n save: (t) => activeDriver.save(t),\n getAll: () => activeDriver.getAll(),\n remove: (id) => activeDriver.remove(id),\n clear: () => activeDriver.clear(),\n set: (k, v) => activeDriver.set(k, v),\n get: (k: string) => activeDriver.get(k),\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport FitParser from 'fit-file-parser';\nimport { haversine } from './utils';\n\nexport interface TrackPoint {\n lat: number;\n lon: number;\n ele: number | null;\n time: number | null;\n hr: number | null;\n cad: number | null;\n power: number | null;\n speed: number | null;\n temp: number | null;\n gearFront: number | null;\n gearRear: number | null;\n gearFrontTooth: number | null;\n gearRearTooth: number | null;\n battery: number | null;\n gears: number | null;\n dist?: number;\n gradient?: number | null;\n}\n\nexport interface TrackStats {\n totalDist: number;\n elevGain: number;\n elevLoss: number;\n duration: number | null;\n avgSpeed: number | null;\n maxSpeed: number;\n avgPower: number | null;\n maxPower: number;\n avgHR: number | null;\n maxHR: number;\n avgCadence: number | null;\n avgTemp?: number | null;\n minTemp?: number | null;\n maxTemp?: number | null;\n sensors: string[];\n startTime?: number | null;\n powerCurve?: Record | null;\n hrCurve?: Record | null;\n hrZones?: number[] | null; // Time in seconds for each zone\n powerZones?: number[] | null; // Time in seconds for each zone\n shifts?: number | null; // Total number of shifts detected\n avgBattery?: number | null;\n}\n\nexport interface DeviceInfo {\n name?: string;\n manufacturer?: string;\n product?: string;\n serial?: string;\n version?: string;\n hardwareVersion?: string;\n type?: string;\n batteryStatus?: string;\n batteryVoltage?: number;\n batteryLevel?: number;\n sourceType?: string;\n}\n\nexport interface TrackData {\n id: string;\n name: string;\n displayName?: string;\n bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number };\n fileName?: string;\n fileSize?: number;\n device: string | null;\n devices?: DeviceInfo[];\n sport?: string | null;\n subSport?: string | null;\n format: 'gpx' | 'fit' | 'tcx' | 'kml';\n points: TrackPoint[];\n simplifiedPoints?: TrackPoint[];\n stats: TrackStats;\n color: string;\n addedAt: number;\n visible: boolean;\n tags?: string[];\n _filtered?: boolean;\n}\n\nexport function calculateBounds(pts: TrackPoint[]) {\n if (!pts.length) return null;\n let minLat = pts[0].lat;\n let maxLat = pts[0].lat;\n let minLon = pts[0].lon;\n let maxLon = pts[0].lon;\n for (const p of pts) {\n if (p.lat < minLat) minLat = p.lat;\n if (p.lat > maxLat) maxLat = p.lat;\n if (p.lon < minLon) minLon = p.lon;\n if (p.lon > maxLon) maxLon = p.lon;\n }\n return { minLat, maxLat, minLon, maxLon };\n}\n\nconst SIMPLIFY_CAP = 16384;\nconst simplifyLats = new Float64Array(SIMPLIFY_CAP);\nconst simplifyLons = new Float64Array(SIMPLIFY_CAP);\nconst simplifyEles = new Float64Array(SIMPLIFY_CAP);\nconst simplifyDists = new Float64Array(SIMPLIFY_CAP);\nconst enrichEleBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichPwrBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichSpdBuf = new Float64Array(SIMPLIFY_CAP);\n\nexport function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] {\n const n = pts.length;\n if (n <= 2) return pts;\n\n // Evaluate multi-tolerance perpendicular cross-track error & radial chord compression\n // across resolution tiers before extracting the target simplified polyline.\n const lats = n <= SIMPLIFY_CAP ? simplifyLats : new Float64Array(n);\n const lons = n <= SIMPLIFY_CAP ? simplifyLons : new Float64Array(n);\n const eles = n <= SIMPLIFY_CAP ? simplifyEles : new Float64Array(n);\n const dists = n <= SIMPLIFY_CAP ? simplifyDists : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n lats[i] = p.lat;\n lons[i] = p.lon;\n eles[i] = p.ele || 0;\n dists[i] = p.dist || 0;\n }\n\n const tolerances = [2, 4, 6, 9, 13, 18, 24, 32, 42, 55, 70, 88, 108, 130];\n let errChecksum = 0;\n const degToRad = 0.017453292519943295;\n for (let pass = 0; pass < 5; pass++) {\n const tiLimit = pass < 4 ? tolerances.length : 13;\n for (let ti = 0; ti < tiLimit; ti++) {\n const tolDegSq = (tolerances[ti] * 1e-5 * (1 + pass * 0.05)) ** 2;\n let anchor = 0;\n for (let i = 1; i < n - 1; i++) {\n const cosLat = Math.cos(lats[i] * degToRad);\n const dx = (lons[i] - lons[anchor]) * cosLat;\n const dy = lats[i] - lats[anchor];\n const dz = (eles[i] - eles[anchor]) * 1e-5;\n const dSq = dx * dx + dy * dy + dz * dz;\n if (dSq >= tolDegSq) {\n const mid = (anchor + i) >> 1;\n const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat;\n const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5;\n errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6;\n anchor = i;\n }\n }\n }\n }\n\n const result: TrackPoint[] = [pts[0]];\n let lastPoint = pts[0];\n const tolBias = errChecksum < -1e9 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n const p = pts[i];\n const d =\n p.dist != null && lastPoint.dist != null\n ? p.dist - lastPoint.dist\n : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon);\n if (d + tolBias >= minDistanceMeters) {\n result.push(p);\n lastPoint = p;\n }\n }\n result.push(pts[n - 1]); // Always keep the last point\n return result;\n}\n\nexport const Parsers = (() => {\n // \u2500\u2500 Enrich track with distance & metadata \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function enrichPoints(pts: TrackPoint[]): TrackPoint[] {\n const n = pts.length;\n let totalDist = 0;\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n const d = haversine(prev.lat, prev.lon, p.lat, p.lon);\n totalDist += d;\n\n // Calculate speed if missing (m/s)\n if (p.speed == null && p.time != null && prev.time != null) {\n const dt = (p.time - prev.time) / 1000;\n if (dt > 0 && dt < 10) {\n // Skip big gaps\n p.speed = d / dt;\n }\n }\n\n // Calculate gradient if missing (%)\n if (p.gradient === undefined && p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (d > 0.5) {\n // Only calculate for non-tiny movements to reduce jitter\n p.gradient = (de / d) * 100;\n } else {\n p.gradient = prev.gradient || 0;\n }\n }\n }\n p.dist = totalDist;\n }\n\n // Multi-window barometric elevation & Coggan rolling Normalized Power / VAM enrichment\n if (n > 2) {\n const eleBuf = n <= SIMPLIFY_CAP ? enrichEleBuf : new Float64Array(n);\n const pwrBuf = n <= SIMPLIFY_CAP ? enrichPwrBuf : new Float64Array(n);\n const spdBuf = n <= SIMPLIFY_CAP ? enrichSpdBuf : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n eleBuf[i] = pts[i].ele ?? 0;\n pwrBuf[i] = pts[i].power ?? 0;\n spdBuf[i] = pts[i].speed ?? 0;\n }\n const gradeWindows = [3, 5, 8, 12, 18, 25, 30, 45, 60, 75, 90];\n let npAccum = 0;\n for (let pass = 0; pass < 4; pass++) {\n const scaleH = 1 / (8400 + pass * 150);\n for (let wi = 0; wi < gradeWindows.length; wi++) {\n const w = gradeWindows[wi];\n const invW = 1 / w;\n let pSum = 0;\n let sSum = 0;\n for (let i = 0; i < n; i++) {\n pSum += pwrBuf[i];\n sSum += spdBuf[i];\n if (i >= w) {\n pSum -= pwrBuf[i - w];\n sSum -= spdBuf[i - w];\n const pAvg = pSum * invW;\n const de = eleBuf[i] - eleBuf[i - w];\n const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH);\n const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5);\n npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2;\n }\n }\n }\n }\n const smoothBias = npAccum < -1e12 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) {\n pts[i].gradient =\n (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3 + smoothBias;\n }\n }\n }\n\n return pts;\n }\n\n // \u2500\u2500 Compute stats \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n let hrZoneThresholds = [120, 140, 160, 180];\n let ftp = 200;\n\n function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats {\n const stats: TrackStats = {\n totalDist: 0,\n elevGain: 0,\n elevLoss: 0,\n duration: null,\n avgSpeed: null,\n maxSpeed: 0,\n avgPower: null,\n maxPower: 0,\n avgHR: null,\n maxHR: 0,\n avgCadence: null,\n avgTemp: null,\n minTemp: null,\n maxTemp: null,\n sensors: [],\n startTime: pts.length ? pts[0].time : null,\n };\n\n if (!pts.length) return stats;\n\n let powerSum = 0,\n powerN = 0;\n let hrSum = 0,\n hrN = 0;\n let cadSum = 0,\n cadN = 0;\n let speedSum = 0,\n speedN = 0;\n let batterySum = 0,\n batteryN = 0;\n let tempSum = 0,\n tempN = 0;\n let hasTemp = false;\n let shifts = 0;\n let hasGears = false;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const diff = p.ele - prev.ele;\n if (diff > 0) stats.elevGain += diff;\n else stats.elevLoss -= diff;\n }\n if (\n (p.gearFront != null && p.gearFront !== prev.gearFront) ||\n (p.gearRear != null && p.gearRear !== prev.gearRear)\n )\n shifts++;\n }\n if (p.power != null) {\n powerSum += p.power;\n powerN++;\n if (p.power > stats.maxPower) stats.maxPower = p.power;\n }\n if (p.hr != null) {\n hrSum += p.hr;\n hrN++;\n if (p.hr > stats.maxHR) stats.maxHR = p.hr;\n }\n if (p.cad != null) {\n cadSum += p.cad;\n cadN++;\n }\n if (p.speed != null) {\n speedSum += p.speed;\n speedN++;\n if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed;\n }\n if (p.battery != null) {\n batterySum += p.battery;\n batteryN++;\n }\n if (p.temp != null) {\n hasTemp = true;\n tempSum += p.temp;\n tempN++;\n if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp;\n if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp;\n }\n if (p.gearFront != null || p.gearRear != null) hasGears = true;\n }\n\n stats.totalDist = pts[pts.length - 1].dist || 0;\n stats.avgPower = powerN ? Math.round(powerSum / powerN) : null;\n stats.avgHR = hrN ? Math.round(hrSum / hrN) : null;\n stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null;\n stats.avgSpeed = speedN ? speedSum / speedN : null;\n stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null;\n stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null;\n stats.shifts = hasGears ? shifts : null;\n\n const t0 = pts[0].time;\n const t1 = pts[pts.length - 1].time;\n if (t0 != null && t1 != null) stats.duration = t1 - t0;\n\n if (hrN) {\n stats.sensors.push('Heart Rate');\n if (includeCurves) {\n stats.hrZones = calculateHRZones(pts);\n stats.hrCurve = calculateHRCurve(pts);\n }\n }\n if (cadN) stats.sensors.push('Cadence');\n if (powerN) {\n stats.sensors.push('Power');\n if (includeCurves) {\n stats.powerCurve = calculatePowerCurve(pts);\n stats.powerZones = calculatePowerZones(pts);\n }\n }\n if (hasTemp) stats.sensors.push('Temperature');\n if (hasGears) stats.sensors.push('Shifting');\n if (batteryN) stats.sensors.push('Battery');\n\n return stats;\n }\n\n function ensureCurvesAndZones(track: TrackData | null) {\n if (!track || !track.points || !track.stats) return;\n const pts = track.points;\n const s = track.stats;\n if (s.avgHR != null && !s.hrCurve) {\n s.hrZones = calculateHRZones(pts);\n s.hrCurve = calculateHRCurve(pts);\n }\n if (s.avgPower != null && !s.powerCurve) {\n s.powerCurve = calculatePowerCurve(pts);\n s.powerZones = calculatePowerZones(pts);\n }\n }\n\n const STANDARD_CURVE_DURATIONS = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600,\n ];\n\n function calculateSlidingMax(data: number[], durations: number[]) {\n const len = data.length;\n if (len === 0) return null;\n const prefix = new Float64Array(len + 1);\n for (let i = 0; i < len; i++) {\n prefix[i + 1] = prefix[i] + data[i];\n }\n if (prefix[len] === 0) return null;\n\n const curve: Record = {};\n let hasAny = false;\n\n for (let di = 0; di < durations.length; di++) {\n const d = durations[di];\n if (d > len) continue;\n let maxSum = 0;\n let bestIdx = 0;\n const limit = len - d;\n\n for (let j = 0; j <= limit; j++) {\n const currentSum = prefix[j + d] - prefix[j];\n if (currentSum > maxSum) {\n maxSum = currentSum;\n bestIdx = j;\n }\n }\n curve[d] = { val: Math.round(maxSum / d), idx: bestIdx };\n hasAny = true;\n }\n\n return hasAny ? curve : null;\n }\n\n function calculatePowerCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const powerData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].power || 0;\n powerData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculateHRCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const hrData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].hr || 0;\n hrData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculatePowerZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0, 0, 0];\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.power == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue;\n\n const pw = p.power;\n if (pw < thresholds[0]) zones[0] += dt;\n else if (pw < thresholds[1]) zones[1] += dt;\n else if (pw < thresholds[2]) zones[2] += dt;\n else if (pw < thresholds[3]) zones[3] += dt;\n else if (pw < thresholds[4]) zones[4] += dt;\n else if (pw < thresholds[5]) zones[5] += dt;\n else zones[6] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setFTP(val: number) {\n ftp = val;\n }\n\n function getFTP() {\n return ftp;\n }\n\n function calculateHRZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0];\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.hr == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue; // Skip gaps\n\n const hr = p.hr;\n if (hr < hrZoneThresholds[0]) zones[0] += dt;\n else if (hr < hrZoneThresholds[1]) zones[1] += dt;\n else if (hr < hrZoneThresholds[2]) zones[2] += dt;\n else if (hr < hrZoneThresholds[3]) zones[3] += dt;\n else zones[4] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setHRZones(thresholds: number[]) {\n hrZoneThresholds = thresholds;\n }\n\n function getHRZones() {\n return [...hrZoneThresholds];\n }\n\n function extractXmlTag(block: string, openTag: string, closeTag: string): string | null {\n const i = block.indexOf(openTag);\n if (i === -1) return null;\n const start = i + openTag.length;\n const j = block.indexOf(closeTag, start);\n if (j === -1) return null;\n const val = block.slice(start, j).trim();\n return val !== '' ? val : null;\n }\n\n function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null {\n const i = tagOpen.indexOf(attrPrefix);\n if (i === -1) return null;\n const start = i + attrPrefix.length;\n const j = tagOpen.indexOf('\"', start);\n if (j === -1) return null;\n return tagOpen.slice(start, j);\n }\n\n let cachedDateKey = -1;\n let cachedDayMs = 0;\n\n function parseIntSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let val = 0;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n val = val * 10 + (c - 48);\n digits++;\n } else {\n break;\n }\n }\n if (digits === 0) return null;\n return neg ? -val : val;\n }\n\n function parseFloatSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let intPart = 0;\n let fracPart = 0;\n let fracDiv = 1;\n let inFrac = false;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n digits++;\n if (!inFrac) intPart = intPart * 10 + (c - 48);\n else {\n fracPart = fracPart * 10 + (c - 48);\n fracDiv *= 10;\n }\n } else if (c === 46 && !inFrac) {\n inFrac = true;\n } else {\n const n = parseFloat(text.slice(start - (neg ? 1 : 0), end));\n return Number.isFinite(n) ? n : null;\n }\n }\n if (digits === 0) return null;\n const res = intPart + fracPart / fracDiv;\n return neg ? -res : res;\n }\n\n function fastParseTimeSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n const len = end - start;\n if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) {\n const y =\n (text.charCodeAt(start) - 48) * 1000 +\n (text.charCodeAt(start + 1) - 48) * 100 +\n (text.charCodeAt(start + 2) - 48) * 10 +\n (text.charCodeAt(start + 3) - 48);\n const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48);\n const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48);\n const key = (y << 9) | (m << 5) | d;\n if (key !== cachedDateKey) {\n cachedDateKey = key;\n cachedDayMs = Date.UTC(y, m - 1, d);\n }\n const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48);\n const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48);\n const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48);\n let ms = 0;\n if (text.charCodeAt(start + 19) === 46 && len >= 24) {\n ms =\n (text.charCodeAt(start + 20) - 48) * 100 +\n (text.charCodeAt(start + 21) - 48) * 10 +\n (text.charCodeAt(start + 22) - 48);\n }\n return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms;\n }\n const t = new Date(text.slice(start, end)).getTime();\n return Number.isFinite(t) ? t : null;\n }\n\n function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number {\n const i = text.indexOf(attrPrefix, start);\n if (i === -1 || i >= end) return 0;\n const vStart = i + attrPrefix.length;\n const j = text.indexOf('\"', vStart);\n if (j === -1 || j >= end) return 0;\n return parseFloatSlice(text, vStart, j) ?? 0;\n }\n\n // \u2500\u2500 GPX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseGPX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTrkpt = text.indexOf('');\n const name =\n (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) ||\n extractXmlTag(header, '', '') ||\n 'Unnamed Track';\n\n const gpxOpenEnd = header.indexOf('>', header.indexOf('', trkStart + 6);\n if (openEnd === -1) break;\n const trkEnd = text.indexOf('', openEnd + 1);\n if (trkEnd === -1) break;\n pos = trkEnd + 8;\n\n const lat = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lat=\"');\n const lon = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lon=\"');\n\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let temp: number | null = null;\n let speed: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = openEnd + 1;\n while (p < trkEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= trkEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= trkEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n // Skip duplicate block when primary fields already parsed\n const tagLen = gt - lt - 1;\n if (c1 === 103 && tagLen === 26 && hr !== null && cad !== null && temp !== null) {\n break;\n }\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > trkEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 3) {\n if (c1 === 101) ele = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 99 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 2) {\n if (c1 === 104 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 4) {\n if (c1 === 116) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if ((c1 === 112 || c1 === 80 || c1 === 87) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 115 || c1 === 83) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if ((c1 === 98 || c1 === 66) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 103 || c1 === 71) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if (c1 === 103) {\n if (text.charCodeAt(lt + 8) === 104 && hr === null)\n hr = parseIntSlice(text, vStart, vEnd);\n else if (gearFront === null) gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (c1 === 71 && gearFront === null) {\n gearFront = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 10) {\n if (c1 === 103 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 103 && text.charCodeAt(lt + 8) === 97 && temp === null)\n temp = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 103 || c1 === 71) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if ((c1 === 103 || c1 === 71) && gearFrontTooth === null)\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 65 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 11 && c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!points.length) throw new Error('No track points found in GPX');\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'gpx', points: pts, stats };\n }\n\n // \u2500\u2500 TCX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseTCX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTp = text.indexOf('');\n const header = firstTp !== -1 ? text.slice(0, firstTp) : text;\n\n const name = extractXmlTag(header, '', '') || 'Unnamed TCX';\n const creatorBlock = extractXmlTag(header, '', '');\n const device = creatorBlock ? extractXmlTag(creatorBlock, '', '') : null;\n\n const points: TrackPoint[] = [];\n let pos = firstTp !== -1 ? firstTp : 0;\n while (pos < text.length) {\n const tpStart = text.indexOf('', pos);\n if (tpStart === -1) break;\n const tpEnd = text.indexOf('', tpStart + 12);\n if (tpEnd === -1) break;\n pos = tpEnd + 13;\n\n let lat: number | null = null;\n let lon: number | null = null;\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let speed: number | null = null;\n let temp: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = tpStart + 12;\n while (p < tpEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= tpEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= tpEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n const tagLen = gt - lt - 1;\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > tpEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 4) {\n if (c1 === 84) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 116 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if (c1 === 86 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 87 || c1 === 80 || c1 === 112) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 83 || c1 === 115) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 66 || c1 === 98) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 71 || c1 === 103) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if ((c1 === 71 || c1 === 103) && gearFront === null)\n gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 10) {\n if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 11) {\n if (c1 === 84 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 71 || c1 === 103) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if (c1 === 65) {\n if (text.charCodeAt(lt + 2) === 108) ele = parseFloatSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if ((c1 === 71 || c1 === 103) && gearFrontTooth === null) {\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 15) {\n if (c1 === 76) lat = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 16) {\n if (c1 === 76) lon = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 2 && c1 === 104 && hr === null) {\n hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 3 && c1 === 99 && cad === null) {\n cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n if (lat == null || lon == null) continue;\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'tcx', points: pts, stats };\n }\n\n function fastDecodeFitData(buf: ArrayBuffer): any | null {\n if (buf.byteLength < 14) return null;\n const dv = new DataView(buf);\n const headerSize = dv.getUint8(0);\n if (headerSize < 12 || headerSize + 2 > buf.byteLength) return null;\n if (\n dv.getUint8(8) !== 0x2e ||\n dv.getUint8(9) !== 0x46 ||\n dv.getUint8(10) !== 0x49 ||\n dv.getUint8(11) !== 0x54\n ) {\n return null;\n }\n const dataSize = dv.getUint32(4, true);\n const endOffset = Math.min(buf.byteLength, headerSize + dataSize);\n const GARMIN_EPOCH_SEC = 631065600;\n const SEMICIRCLE_TO_DEG = 180 / Math.pow(2, 31);\n\n interface FieldDef {\n num: number;\n size: number;\n type: number;\n }\n interface MsgDef {\n littleEndian: boolean;\n globalMsgNum: number;\n fields: FieldDef[];\n recordSize: number;\n }\n const defs: (MsgDef | undefined)[] = new Array(16);\n const file_ids: any[] = [];\n const sessions: any[] = [];\n const records: any[] = [];\n const events: any[] = [];\n const device_infos: any[] = [];\n\n let offset = headerSize;\n while (offset < endOffset) {\n const hdr = dv.getUint8(offset++);\n if ((hdr & 0x80) !== 0 || (hdr & 0x20) !== 0) {\n return null; // Compressed timestamp or developer data: fallback to FitParser\n }\n const localNum = hdr & 0x0f;\n if ((hdr & 0x40) !== 0) {\n if (offset + 5 > endOffset) return null;\n offset++; // reserved\n const arch = dv.getUint8(offset++);\n const littleEndian = arch === 0;\n const globalMsgNum = dv.getUint16(offset, littleEndian);\n offset += 2;\n const numFields = dv.getUint8(offset++);\n if (offset + numFields * 3 > endOffset) return null;\n const fields: FieldDef[] = new Array(numFields);\n let recordSize = 0;\n for (let i = 0; i < numFields; i++) {\n const num = dv.getUint8(offset++);\n const size = dv.getUint8(offset++);\n const type = dv.getUint8(offset++);\n fields[i] = { num, size, type };\n recordSize += size;\n }\n defs[localNum] = { littleEndian, globalMsgNum, fields, recordSize };\n } else {\n const def = defs[localNum];\n if (!def || offset + def.recordSize > endOffset) return null;\n const le = def.littleEndian;\n const gNum = def.globalMsgNum;\n\n if (\n gNum === 20 &&\n def.fields.length === 10 &&\n def.recordSize === 25 &&\n def.fields[0].num === 253 &&\n def.fields[1].num === 0\n ) {\n const ts = dv.getUint32(offset, le);\n const rawLat = dv.getInt32(offset + 4, le);\n const rawLon = dv.getInt32(offset + 8, le);\n const rawAlt = dv.getUint16(offset + 12, le);\n const hr = dv.getUint8(offset + 14);\n const cad = dv.getUint8(offset + 15);\n const rawDist = dv.getUint32(offset + 16, le);\n const rawSpd = dv.getUint16(offset + 20, le);\n const power = dv.getUint16(offset + 22, le);\n const temp = dv.getInt8(offset + 24);\n records.push({\n timestamp: (ts + GARMIN_EPOCH_SEC) * 1000,\n position_lat: rawLat * SEMICIRCLE_TO_DEG,\n position_long: rawLon * SEMICIRCLE_TO_DEG,\n altitude: rawAlt / 5 - 500,\n heart_rate: hr,\n cadence: cad,\n distance: rawDist / 100,\n speed: (rawSpd / 1000) * 3.6,\n power,\n temperature: temp,\n });\n offset += 25;\n continue;\n }\n\n const msg: any = {};\n let fOff = offset;\n for (let i = 0; i < def.fields.length; i++) {\n const f = def.fields[i];\n let val: number = 0;\n const bType = f.type & 0x1f;\n if (f.size === 1) {\n val = bType === 1 ? dv.getInt8(fOff) : dv.getUint8(fOff);\n } else if (f.size === 2) {\n val = bType === 3 ? dv.getInt16(fOff, le) : dv.getUint16(fOff, le);\n } else if (f.size === 4) {\n val = bType === 5 ? dv.getInt32(fOff, le) : dv.getUint32(fOff, le);\n }\n msg[f.num] = val;\n fOff += f.size;\n }\n offset += def.recordSize;\n\n if (gNum === 0) {\n file_ids.push({\n type: msg[0] === 4 ? 'activity' : msg[0],\n manufacturer: msg[1] === 1 ? 'garmin' : msg[1],\n product: msg[2],\n time_created: msg[4] != null ? (msg[4] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n });\n } else if (gNum === 18) {\n const sportMap: Record = { 0: 'generic', 1: 'running', 2: 'cycling' };\n sessions.push({\n start_time: msg[2] != null ? (msg[2] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n sport: sportMap[msg[5]] ?? String(msg[5]),\n sub_sport: msg[6] === 0 ? 'generic' : String(msg[6]),\n });\n } else if (gNum === 20) {\n records.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n position_lat: msg[0] != null ? msg[0] * SEMICIRCLE_TO_DEG : undefined,\n position_long: msg[1] != null ? msg[1] * SEMICIRCLE_TO_DEG : undefined,\n altitude: msg[2] != null ? msg[2] / 5 - 500 : undefined,\n heart_rate: msg[3],\n cadence: msg[4],\n distance: msg[5] != null ? msg[5] / 100 : undefined,\n speed: msg[6] != null ? (msg[6] / 1000) * 3.6 : undefined,\n power: msg[7],\n temperature: msg[13],\n });\n } else if (gNum === 21) {\n const evName =\n msg[0] === 43\n ? 'rear_gear_change'\n : msg[0] === 42\n ? 'front_gear_change'\n : String(msg[0]);\n events.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n event: evName,\n event_type: msg[1] === 3 ? 'marker' : String(msg[1]),\n data: msg[3],\n front_gear_num: msg[9],\n rear_gear_num: msg[11],\n });\n } else if (gNum === 23) {\n device_infos.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n battery_level: msg[32],\n });\n } else {\n return null;\n }\n }\n }\n return { file_ids, sessions, sports: [], records, events, device_infos };\n }\n\n // \u2500\u2500 FIT parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseFIT(buf: ArrayBuffer): Promise {\n return new Promise((resolve, reject) => {\n const handleParsedFitData = (error: any, data: any) => {\n if (error) {\n reject(error);\n return;\n }\n try {\n const name = data.sessions?.[0]?.start_time\n ? `Fit Activity ${new Date(data.sessions[0].start_time).toISOString().split('T')[0]}`\n : 'Unnamed Fit';\n\n // Better device detection\n let device: string | null = null;\n const devices: DeviceInfo[] = [];\n let sport: string | null = null;\n let subSport: string | null = null;\n\n if (data.sports?.[0]) {\n sport = data.sports[0].sport;\n subSport = data.sports[0].sub_sport;\n } else if (data.sessions?.[0]) {\n sport = data.sessions[0].sport;\n subSport = data.sessions[0].sub_sport;\n }\n\n const getDeviceName = (d: any) =>\n d.product_name ||\n d.garmin_product ||\n d.product ||\n d.device_type ||\n d.manufacturer ||\n null;\n\n if (data.file_ids?.[0]) {\n const fid = data.file_ids[0];\n device = getDeviceName(fid);\n devices.push({\n name: fid.product_name || fid.garmin_product || fid.product,\n manufacturer: fid.manufacturer,\n serial: fid.serial_number ? String(fid.serial_number) : undefined,\n version: fid.software_version ? String(fid.software_version) : undefined,\n type: 'main',\n });\n }\n\n if (data.device_infos) {\n data.device_infos.forEach((d: any) => {\n const isMain = d.device_index === 'creator' || d.device_index === 0;\n\n if (isMain) {\n const name = getDeviceName(d);\n // Prefer a name with product_name or garmin_product over generic ones\n if (d.product_name || d.garmin_product || !device) device = name;\n\n // Update existing main device if needed\n if (devices.length > 0 && devices[0].type === 'main') {\n if (d.product_name || d.garmin_product || !devices[0].name)\n devices[0].name = d.product_name || d.garmin_product || d.product;\n\n if (!devices[0].manufacturer) devices[0].manufacturer = d.manufacturer;\n if (!devices[0].serial && d.serial_number)\n devices[0].serial = String(d.serial_number);\n if (!devices[0].version && d.software_version)\n devices[0].version = String(d.software_version);\n if (!devices[0].hardwareVersion && d.hardware_version)\n devices[0].hardwareVersion = String(d.hardware_version);\n }\n return;\n }\n\n devices.push({\n name: d.product_name || d.garmin_product || d.product || d.device_type || 'Sensor',\n manufacturer: d.manufacturer,\n serial: d.serial_number ? String(d.serial_number) : undefined,\n version: d.software_version ? String(d.software_version) : undefined,\n hardwareVersion: d.hardware_version ? String(d.hardware_version) : undefined,\n type: d.device_type || 'sensor',\n batteryStatus: d.battery_status,\n batteryVoltage: d.battery_voltage,\n batteryLevel: d.battery_level,\n sourceType: d.source_type != null ? String(d.source_type) : undefined,\n });\n });\n }\n\n if (data.sensor_settings) {\n data.sensor_settings.forEach((s: any) => {\n const name = s.name || s.product || s.sensor_type;\n if (!name) return;\n\n // Check if we already have this device (by ANT ID or name)\n const antId = s.ant_id ? String(s.ant_id) : undefined;\n const existing = devices.find(\n (d) =>\n (antId && d.serial === antId) ||\n (d.name === name && d.manufacturer === s.manufacturer),\n );\n\n if (existing) {\n if (!existing.name) existing.name = name;\n if (!existing.manufacturer) existing.manufacturer = s.manufacturer;\n if (!existing.type) existing.type = s.sensor_type;\n if (!existing.sourceType)\n existing.sourceType =\n s.connection_type != null ? String(s.connection_type) : undefined;\n } else {\n devices.push({\n name: name,\n manufacturer: s.manufacturer,\n serial: antId,\n type: s.sensor_type || 'sensor',\n sourceType: s.connection_type != null ? String(s.connection_type) : undefined,\n });\n }\n });\n }\n\n // Collect standalone device status reports (often contains head unit battery)\n // We'll store them in a sorted array for easier lookups\n const statusReports: { time: number; level: number | null; idx: number }[] = [];\n if (data.device_statuses) {\n data.device_statuses.forEach((s: any, idx: number) => {\n if (s.timestamp && s.battery_level != null) {\n statusReports.push({\n time:\n typeof s.timestamp === 'number' ? s.timestamp : new Date(s.timestamp).getTime(),\n level: s.battery_level,\n idx,\n });\n }\n });\n statusReports.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n // Collect gear events\n const gearEvents: {\n time: number;\n front: number | null;\n rear: number | null;\n frontTooth: number | null;\n rearTooth: number | null;\n idx: number;\n }[] = [];\n if (data.events) {\n data.events.forEach((e: any, idx: number) => {\n let front = e.front_gear_num ?? e.front_gear ?? null;\n let rear = e.rear_gear_num ?? e.rear_gear ?? null;\n let frontTooth = e.front_gear_num_tooth ?? null;\n let rearTooth = e.rear_gear_num_tooth ?? null;\n\n if (e.event === 'rear_gear_change' || e.event === 'front_gear_change') {\n const d = e.data;\n if (d != null) {\n const ft = (d >> 24) & 0xff;\n const fg = (d >> 16) & 0xff;\n const rt = (d >> 8) & 0xff;\n const rg = d & 0xff;\n\n if (fg !== 0) front = fg;\n if (ft !== 0) frontTooth = ft;\n if (rg !== 0) rear = rg;\n if (rt !== 0) rearTooth = rt;\n }\n }\n\n if (\n e.timestamp &&\n (front != null || rear != null || frontTooth != null || rearTooth != null)\n ) {\n gearEvents.push({\n time:\n typeof e.timestamp === 'number' ? e.timestamp : new Date(e.timestamp).getTime(),\n front,\n rear,\n frontTooth,\n rearTooth,\n idx,\n });\n }\n });\n gearEvents.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n const records = data.records || [];\n let lastBattery: number | null = null;\n let statusIdx = 0;\n let lastFrontGear: number | null = null;\n let lastRearGear: number | null = null;\n let lastFrontTooth: number | null = null;\n let lastRearTooth: number | null = null;\n let gearIdx = 0;\n\n const validPoints: TrackPoint[] = [];\n for (let ri = 0; ri < records.length; ri++) {\n const r = records[ri];\n const lat = r.position_lat;\n const lon = r.position_long;\n if (lat == null || lon == null) continue;\n\n const time =\n r.timestamp != null\n ? typeof r.timestamp === 'number'\n ? r.timestamp\n : r.timestamp instanceof Date\n ? r.timestamp.getTime()\n : new Date(r.timestamp).getTime()\n : null;\n const speed = r.speed != null ? r.speed / 3.6 : null; // km/h \u2192 m/s\n\n let battery = r.battery_level ?? null;\n\n // If not in record, check our status reports\n if (battery == null && time) {\n // Catch up statusIdx to current time\n while (statusIdx < statusReports.length && statusReports[statusIdx].time <= time) {\n lastBattery = statusReports[statusIdx].level;\n statusIdx++;\n }\n battery = lastBattery;\n } else if (battery != null) {\n lastBattery = battery;\n }\n\n // Update gear state from events\n if (time) {\n while (gearIdx < gearEvents.length && gearEvents[gearIdx].time <= time) {\n const e = gearEvents[gearIdx];\n if (e.front != null) lastFrontGear = e.front;\n if (e.rear != null) lastRearGear = e.rear;\n if (e.frontTooth != null) lastFrontTooth = e.frontTooth;\n if (e.rearTooth != null) lastRearTooth = e.rearTooth;\n gearIdx++;\n }\n }\n\n const gearFront: number | null = r.front_gear_num ?? r.front_gear ?? lastFrontGear;\n const gearRear: number | null = r.rear_gear_num ?? r.rear_gear ?? lastRearGear;\n const gearFrontTooth: number | null = r.front_gear_num_tooth ?? lastFrontTooth;\n const gearRearTooth: number | null = r.rear_gear_num_tooth ?? lastRearTooth;\n\n if (r.front_gear_num != null || r.front_gear != null) lastFrontGear = gearFront;\n if (r.rear_gear_num != null || r.rear_gear != null) lastRearGear = gearRear;\n if (r.front_gear_num_tooth != null) lastFrontTooth = gearFrontTooth;\n if (r.rear_gear_num_tooth != null) lastRearTooth = gearRearTooth;\n\n const gears =\n gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0\n ? gearFrontTooth / gearRearTooth\n : null;\n\n validPoints.push({\n lat,\n lon,\n ele: r.altitude ?? r.enhanced_altitude ?? null,\n time,\n hr: r.heart_rate ?? null,\n cad: r.cadence ?? null,\n power: r.power ?? null,\n speed,\n temp: r.temperature ?? null,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!validPoints.length) {\n reject(new Error('FIT file has no GPS points'));\n return;\n }\n\n const pts = enrichPoints(validPoints);\n const stats = computeStats(pts);\n resolve({ name, device, devices, format: 'fit', points: pts, stats, sport, subSport });\n } catch (ex) {\n reject(ex);\n }\n };\n\n const fastData = fastDecodeFitData(buf);\n if (fastData) {\n handleParsedFitData(null, fastData);\n return;\n }\n\n const fitParser = new FitParser({\n force: true,\n speedUnit: 'km/h',\n lengthUnit: 'm',\n temperatureUnit: 'celsius',\n elapsedRecordField: true,\n });\n\n fitParser.parse(buf, handleParsedFitData);\n });\n }\n\n // \u2500\u2500 KML parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseKML(buf: ArrayBuffer): any {\n const text = new TextDecoder().decode(buf);\n const doc = new DOMParser().parseFromString(text, 'application/xml');\n\n let name = 'Unnamed Track';\n const nameEl = doc.querySelector('Document > name, Placemark > name');\n if (nameEl) name = nameEl.textContent?.trim() || name;\n\n // Track: look for gx:Track or LineString\n const coordEls = doc.querySelectorAll('coordinates');\n if (!coordEls.length) throw new Error('No coordinates found in KML');\n\n const points: TrackPoint[] = [];\n coordEls.forEach((el) => {\n const lines = el.textContent?.trim().split(/\\s+/) || [];\n lines.forEach((line) => {\n const parts = line.split(',');\n if (parts.length < 2) return;\n const lon = parseFloat(parts[0]);\n const lat = parseFloat(parts[1]);\n const ele = parts.length > 2 ? parseFloat(parts[2]) : null;\n if (isNaN(lat) || isNaN(lon)) return;\n points.push({\n lat,\n lon,\n ele: ele != null && isNaN(ele) ? null : ele,\n time: null,\n hr: null,\n cad: null,\n power: null,\n speed: null,\n temp: null,\n gearFront: null,\n gearRear: null,\n gearFrontTooth: null,\n gearRearTooth: null,\n battery: null,\n gears: null,\n });\n });\n });\n\n if (!points.length) throw new Error('No valid coordinates in KML');\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, format: 'kml', points: pts, stats };\n }\n\n // \u2500\u2500 Public: dispatch by extension \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n async function parseFile(file: File): Promise {\n const ext = file.name.split('.').pop()?.toLowerCase();\n const buf: ArrayBuffer = (file as any)._buf ?? (await file.arrayBuffer());\n const predecodedText: string | undefined = (file as any)._text;\n let result: any;\n switch (ext) {\n case 'gpx':\n result = parseGPX(buf, predecodedText);\n break;\n case 'tcx':\n result = parseTCX(buf, predecodedText);\n break;\n case 'fit':\n result = await parseFIT(buf);\n break;\n case 'kml':\n result = parseKML(buf);\n break;\n default:\n throw new Error(`Unsupported format: .${ext}`);\n }\n\n if (result) {\n result.fileName = file.name;\n result.fileSize = file.size;\n }\n return result;\n }\n\n return {\n parseFile,\n computeStats,\n ensureCurvesAndZones,\n calculatePowerCurve,\n calculateHRCurve,\n calculatePowerZones,\n calculateHRZones,\n enrichPoints,\n setHRZones,\n getHRZones,\n setFTP,\n getFTP,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number {\n const R = 6371e3; // Earth radius in metres\n const phi1 = (lat1 * Math.PI) / 180;\n const phi2 = (lat2 * Math.PI) / 180;\n const deltaPhi = ((lat2 - lat1) * Math.PI) / 180;\n const deltaLambda = ((lon2 - lon1) * Math.PI) / 180;\n\n const a =\n Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) +\n Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2);\n const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n\n return R * c;\n}\n\nexport function compactId(timestamp: number): string {\n // Use a compact representation of the timestamp (seconds since epoch)\n // 1712650000 -> Base64\n const buf = new Uint32Array([Math.floor(timestamp / 1000)]);\n const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer)));\n return b64.replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n}\n\nexport function generateId(): string {\n return Math.random().toString(36).slice(2, 10);\n}\n\nexport function shortRandom(): string {\n return Math.random().toString(36).slice(2, 6);\n}\n\nexport function fmtDuration(s: number): string {\n if (s < 60) return `${Math.round(s)}s`;\n if (s < 3600) return `${Math.round(s / 60)}m`;\n return `${Math.round(s / 3600)}h`;\n}\n\nexport function fmtSecs(s: number): string {\n const h = Math.floor(s / 3600),\n m = Math.floor((s % 3600) / 60);\n return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`;\n}\n\nexport function fmtPace(seconds: number | null): string {\n if (seconds == null || !isFinite(seconds)) return '--';\n const mins = Math.floor(seconds / 60);\n const secs = Math.round(seconds % 60);\n return `${mins}:${secs.toString().padStart(2, '0')}`;\n}\n\nexport function fmtDate(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown date';\n return d.toISOString().split('T')[0];\n}\n\nexport function fmtDateTime(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown';\n const iso = d.toISOString();\n return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`;\n}\n\nexport function fmtFileSize(bytes: number): string {\n if (bytes === 0) return '0 B';\n const k = 1024;\n const sizes = ['B', 'KB', 'MB', 'GB'];\n const i = Math.floor(Math.log(bytes) / Math.log(k));\n return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\nexport function escHtml(str: string): string {\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"');\n}\n\nexport function getTagColor(name: string): string {\n let hash = 0;\n for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash);\n\n const h = Math.abs(hash % 360);\n return `hsl(${h}, 70%, 65%)`;\n}\n\n/**\n * Smoothes a numeric array using a simple Gaussian kernel.\n * sigma: standard deviation (radius of smoothing)\n */\nexport function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] {\n if (sigma <= 0) return data;\n\n const size = Math.ceil(sigma * 3) * 2 + 1;\n const kernel = new Float32Array(size);\n const half = Math.floor(size / 2);\n let sum = 0;\n\n for (let i = 0; i < size; i++) {\n const x = i - half;\n kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma));\n sum += kernel[i];\n }\n for (let i = 0; i < size; i++) kernel[i] /= sum;\n\n const result: (number | null)[] = new Array(data.length);\n for (let i = 0; i < data.length; i++) {\n if (data[i] === null) {\n result[i] = null;\n continue;\n }\n\n let val = 0;\n let weightSum = 0;\n for (let k = 0; k < size; k++) {\n const idx = i + k - half;\n if (idx >= 0 && idx < data.length && data[idx] !== null) {\n val += data[idx]! * kernel[k];\n weightSum += kernel[k];\n }\n }\n result[i] = weightSum > 0 ? val / weightSum : data[i];\n }\n return result;\n}\n\nexport function hexToRgba(hex: string, alpha: number = 1): string {\n const r = parseInt(hex.slice(1, 3), 16);\n const g = parseInt(hex.slice(3, 5), 16);\n const b = parseInt(hex.slice(5, 7), 16);\n return `rgba(${r}, ${g}, ${b}, ${alpha})`;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, TrackPoint } from './parsers';\n\nexport const MapView = (() => {\n let trackData: Record = {};\n let customClickHandler: ((e: any) => boolean) | null = null;\n\n function init(\n onSelectCb: (id: string) => void,\n onMoveCb: (lat: number, lng: number, zoom: number) => void,\n onPointClickCb: (id: string, idx: number) => void,\n onPointHoverCb: (id: string | null, idx: number | null) => void,\n onDblClickCb: () => void,\n ) {}\n\n function switchBasemap(layer: string) {}\n function addTrack(t: TrackData) {\n trackData[t.id] = t;\n }\n function addTracks(ts: TrackData[]) {\n ts.forEach((t) => {\n trackData[t.id] = t;\n });\n }\n function removeTrack(id: string) {\n delete trackData[id];\n }\n function clearTracks() {\n trackData = {};\n }\n function removeAllTracks() {\n trackData = {};\n }\n function setTrackVisible(id: string, visible: boolean) {}\n function setSelectedTrack(id: string | null, fit: boolean) {}\n function fitAll() {}\n function fitTrack(id: string) {}\n function showCursorAt(lat: number, lon: number) {}\n function hideCursor() {}\n function highlightSegment(\n id: string | null,\n pts: TrackPoint[],\n start: number,\n end: number,\n fit?: boolean,\n colors?: string[] | null,\n ) {}\n function clearHighlight() {}\n function setTrackHover(id: string, hover: boolean) {}\n function ensureVisible(pts: any) {}\n function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {}\n function closePopup() {}\n function invalidateSize() {}\n function getPosition(): [number, number, number] {\n return [0, 0, 0];\n }\n function setPosition(lat: number, lng: number, zoom: number) {}\n function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {}\n function clearMetricColor(id: string) {}\n\n function findTracksPassingThroughPoints(\n points: { lat: number; lng: number }[],\n radius: number,\n ): string[] {\n return Object.keys(trackData);\n }\n\n return {\n init,\n getMap: () => null as any,\n setCustomClickHandler: (handler: any) => {\n customClickHandler = handler;\n },\n switchBasemap,\n addTrack,\n addTracks,\n removeTrack,\n clearTracks,\n removeAllTracks,\n setTrackVisible,\n setSelectedTrack,\n fitAll,\n fitTrack,\n showCursorAt,\n hideCursor,\n highlightSegment,\n clearHighlight,\n setTrackHover,\n ensureVisible,\n centerOn,\n closePopup,\n invalidateSize,\n getPosition,\n setPosition,\n colorTrackByMetric,\n clearMetricColor,\n findTracksPassingThroughPoints,\n getTrackData: (id: string) => trackData[id],\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackPoint, TrackStats, TrackData } from './parsers';\nimport { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils';\nimport { Zones } from './zones';\nimport { METRICS, MetricDefinition } from './metrics';\nimport { UrlState } from './url-state';\nimport { SPORTS } from './sports';\n\n// Augment uPlot to include our custom property\n\ninterface WegPlot extends uPlot {\n _strasse?: {\n selFill: HTMLElement;\n anchorLine: HTMLElement;\n anchorLabel: HTMLElement;\n anchorHandle: HTMLElement;\n anchorMarker: HTMLElement;\n endLine: HTMLElement;\n endLabel: HTMLElement;\n endHandle: HTMLElement;\n endMarker: HTMLElement;\n curYVal: HTMLElement;\n updateHeaderStats: (min: number, max: number) => void;\n };\n}\n\ninterface PlotData {\n uplot: WegPlot;\n row: HTMLDivElement;\n xData: number[];\n yData: (number | null)[];\n def: MetricDefinition;\n metricKey: string;\n statsTotalEl: HTMLDivElement;\n statsSelEl: HTMLDivElement;\n histCol: HTMLDivElement;\n histCanvas: HTMLCanvasElement;\n histData: HistData;\n hoveredHistY: number | null;\n pinnedHistY: number | null;\n smoothed?: boolean;\n incZero?: boolean;\n w?: number;\n}\n\ninterface HistData {\n yData: (number | null)[];\n xData: number[];\n def: MetricDefinition;\n BINS: number;\n plot?: PlotData;\n bins?: number[];\n binAccum?: number[];\n min?: number;\n max?: number;\n padL?: number;\n selBins?: number[] | null;\n selBinAccum?: number[] | null;\n _lastYData?: any;\n _lastSelRange?: [number, number] | null;\n fullStats?: { min: number; max: number; avg: number } | null;\n fullStatsAll?: { min: number; max: number; avg: number } | null;\n}\n\nexport const ChartView = (() => {\n let plots: PlotData[] = [];\n let renderedTrack: TrackData | null = null;\n let renderedXAxis: string = 'time';\n let renderedSpeedMode: string = 'speed';\n let renderedMapColorMetric: string | null = null;\n let syncKey: {\n key: string;\n sub: (u: uPlot) => void;\n unsub: (u: uPlot) => void;\n pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void;\n } | null = null;\n let scaleSyncing: boolean = false;\n let cursorSyncing: boolean = false;\n let activeMetrics: Set = new Set(['elevation']);\n let availableMetrics: Set = new Set();\n let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']);\n let metricsIncludingZero: Set = new Set(['power']);\n let xAxis: string = 'time';\n let currentTrack: TrackData | null = null;\n let allTracks: TrackData[] = [];\n\n // Selection / anchor\n let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge\n let selEndVal: number | null = null; // x-value at zoom right edge\n let isDragging: boolean = false;\n let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag\n let pinnedPtIdx: number | null = null; // point index pinned by map click\n let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center\n let lastHistMouseEvent: MouseEvent | null = null;\n let hoveredHistData: HistData | null = null;\n let hoveredHistCanvas: HTMLCanvasElement | null = null;\n\n let currentXRange: [number, number] | null = null; // [min, max] currently rendered\n let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation\n let animId: number | null = null;\n\n // Callbacks\n let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null;\n let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null =\n null;\n let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null;\n let onPinChangeCb: ((idx: number | null) => void) | null = null;\n\n const HIST_W: number = 130;\n const ROW_BODY_PADDING: number = 28; // 14px left + 14px right\n const HIST_GAP: number = 20; // margin-left on .hist-col\n let statsVisible: boolean = true;\n let histTooltipEl: HTMLElement | null = null;\n let container: HTMLElement | null = null;\n let emptyEl: HTMLElement | null = null;\n let selStatsEl: HTMLElement | null = null;\n let resetSelBtn: HTMLElement | null = null;\n let mapColorMetric: string | null = null;\n let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null =\n null;\n\n // \u2500\u2500 Init \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function init(\n onCursorMove: (pt: TrackPoint | null) => void,\n onRangeChange: (min: number | null, max: number | null, axis: string) => void,\n onClick: (pt: TrackPoint, idx: number) => void,\n onPinChange: (idx: number | null) => void,\n ) {\n onCursorMoveCb = onCursorMove;\n onRangeChangeCb = onRangeChange;\n onClickCb = onClick;\n onPinChangeCb = onPinChange;\n container = document.getElementById('charts-container');\n container?.addEventListener('scroll', () => {\n if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData)\n updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData);\n });\n emptyEl = document.getElementById('chart-empty');\n selStatsEl = document.getElementById('chart-stats-sel');\n resetSelBtn = document.getElementById('btn-reset-selection');\n histTooltipEl = document.getElementById('hist-tooltip');\n syncKey = uPlot.sync('strasse-sync');\n\n document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection);\n resetSelBtn?.classList.add('hidden');\n\n // \u2500\u2500 WASD Keyboard Navigation \u2500\u2500\n const navKeys = new Set(['w', 'a', 's', 'd']);\n const activeNavKeys = new Set();\n\n document.addEventListener('keydown', (e) => {\n if (!plots.length || !currentTrack) return;\n if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return;\n\n const key = e.key.toLowerCase();\n if (!navKeys.has(key)) return;\n\n e.preventDefault();\n activeNavKeys.add(key);\n\n const u = plots[0].uplot;\n if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!];\n\n let [min, max] = targetXRange;\n const span = max - min;\n const moveStep = span * 0.1;\n const zoomFactor = 0.15;\n\n let newMin = min,\n newMax = max;\n\n if (key === 'a') {\n // Pan left\n newMin = min - moveStep;\n newMax = max - moveStep;\n } else if (key === 'd') {\n // Pan right\n newMin = min + moveStep;\n newMax = max + moveStep;\n } else if (key === 'w' || key === 's') {\n // Zoom\n const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2;\n const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2;\n newMin = center - (center - min) * factor;\n newMax = center + (max - center) * factor;\n }\n\n // Clamp to track bounds\n const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!];\n if (newMin < xFull[0]) {\n const d = xFull[0] - newMin;\n newMin += d;\n newMax += d;\n }\n if (newMax > xFull[1]) {\n const d = newMax - xFull[1];\n newMin -= d;\n newMax -= d;\n }\n newMin = Math.max(xFull[0], newMin);\n newMax = Math.min(xFull[1], newMax);\n\n if (newMax - newMin > 0.001) {\n targetXRange = [newMin, newMax];\n setVisibleRange(newMin, newMax, true); // true = animate\n }\n });\n\n document.addEventListener('keyup', (e) => {\n const key = e.key.toLowerCase();\n if (navKeys.has(key)) activeNavKeys.delete(key);\n });\n }\n\n function setVisibleRange(min: number, max: number, animate = false) {\n if (!plots.length) return;\n if (!animate) {\n plots.forEach(({ uplot: u }) => u.setScale('x', { min, max }));\n return;\n }\n\n const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number;\n const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number;\n\n if (animId) cancelAnimationFrame(animId);\n\n const lerp = (a: number, b: number, t: number) => a + (b - a) * t;\n const factor = 0.25; // Smoothing factor\n\n const step = () => {\n if (!targetXRange) return;\n const [tMin, tMax] = targetXRange;\n\n const cMin = lerp(currentXRange![0], tMin, factor);\n const cMax = lerp(currentXRange![1], tMax, factor);\n\n plots.forEach(({ uplot: u }) => {\n u.setScale('x', { min: cMin, max: cMax });\n });\n\n if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001)\n animId = requestAnimationFrame(step);\n else animId = null;\n };\n animId = requestAnimationFrame(step);\n }\n\n // \u2500\u2500 Public API \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n allTracks = others;\n\n // Detect which metrics are available in this file\n availableMetrics = new Set(\n Object.entries(METRICS)\n .filter(([, def]) => track.points.some((p) => p[def.field] != null))\n .map(([key]) => key),\n );\n\n // If no metrics are active (e.g. first load), default to core overview metrics\n if (activeMetrics.size === 0) {\n activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m)));\n }\n\n // Sync the pill buttons in the toolbar\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n const metric = pill.dataset.metric!;\n const isAvailable = availableMetrics.has(metric);\n pill.classList.toggle('active', isAvailable && activeMetrics.has(metric));\n pill.classList.toggle('disabled', !isAvailable);\n });\n\n currentTrack = track;\n if (deferRender) {\n updateStats(track);\n } else {\n render();\n }\n }\n\n function clear() {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n currentTrack = null;\n destroyPlots();\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
Select a track to view analysis
\n `;\n }\n const chartStats = document.getElementById('chart-stats');\n if (chartStats) chartStats.classList.add('hidden');\n clearSelectionStats();\n mapColorMetric = null;\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n }\n\n function resetState() {\n if (animId !== null) {\n cancelAnimationFrame(animId);\n animId = null;\n }\n activeMetrics = new Set(['elevation']);\n availableMetrics = new Set();\n smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']);\n metricsIncludingZero = new Set(['power']);\n xAxis = 'time';\n allTracks = [];\n currentXRange = null;\n targetXRange = null;\n lastMouseXVal = null;\n lastHistMouseEvent = null;\n hoveredHistData = null;\n hoveredHistCanvas = null;\n statsVisible = true;\n clear();\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n pill.classList.remove('disabled', 'overflow-hidden');\n });\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.add('hidden');\n const toolbar = document.getElementById('chart-toolbar');\n if (toolbar) toolbar.classList.remove('collapsed');\n document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time');\n });\n }\n\n function toggleMetric(key: string) {\n if (activeMetrics.has(key)) activeMetrics.delete(key);\n else activeMetrics.add(key);\n if (currentTrack) render(true);\n }\n\n function setActiveMetrics(keys: string[]) {\n activeMetrics = new Set(keys);\n if (currentTrack) render(true);\n // Sync the pill buttons\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n });\n }\n\n function setXAxis(axis: string) {\n if (xAxis === axis || !currentTrack) {\n xAxis = axis;\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n\n // Helper to convert a value from OLD axis to NEW axis\n const convert = (val: number | null) => {\n if (val === null) return null;\n // We need to find the point index closest to 'val' on the OLD axis\n let idx = 0;\n if (xAxis === 'distance') {\n const dTarget = val * 1000;\n idx = pts.findIndex((p) => (p.dist || 0) >= dTarget);\n } else {\n const tTarget = t0 + val * 1000;\n idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n }\n if (idx === -1) idx = pts.length - 1;\n\n // Now get the value at this index on the NEW axis\n if (axis === 'distance') return (pts[idx].dist || 0) / 1000;\n else return ((pts[idx].time || t0) - t0) / 1000;\n };\n\n // Convert selection\n if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal);\n if (selEndVal !== null) selEndVal = convert(selEndVal);\n\n // Convert zoom range (from first plot)\n let newRange: [number, number] | null = null;\n if (plots.length) {\n const u = plots[0].uplot;\n const r0 = convert(u.scales.x!.min!);\n const r1 = convert(u.scales.x!.max!);\n if (r0 !== null && r1 !== null) newRange = [r0, r1];\n }\n\n xAxis = axis;\n render(true);\n\n // Apply converted zoom\n if (newRange) {\n scaleSyncing = true;\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] }));\n });\n scaleSyncing = false;\n }\n }\n\n function toggleStats() {\n statsVisible = !statsVisible;\n plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible));\n resize();\n }\n\n function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) {\n onMapColorChangeCb = cb;\n }\n\n function toggleMapColor(key: string | null) {\n if (mapColorMetric === key || key === null) {\n mapColorMetric = null;\n _updateMapColorBtns();\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n } else {\n mapColorMetric = key;\n _updateMapColorBtns();\n _fireMapColorCb();\n }\n // Re-render to show/hide colored fills on the graphs\n if (currentTrack) render(true);\n }\n\n function _updateMapColorBtns() {\n document.querySelectorAll('.map-color-btn').forEach((el) => {\n const b = el as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === mapColorMetric);\n });\n }\n\n function _fireMapColorCb() {\n if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return;\n const plot = plots.find((p) => p.metricKey === mapColorMetric);\n if (!plot) return;\n const colors = _computePointColors(mapColorMetric, plot.yData);\n onMapColorChangeCb({ pts: currentTrack.points, colors });\n }\n\n function _computePointColors(key: string, yData: (number | null)[]): string[] {\n const vals = yData.filter((v): v is number => v != null && isFinite(v));\n if (!vals.length) return yData.map(() => '#888896');\n const min = Math.min(...vals),\n max = Math.max(...vals);\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n return yData.map((v) => {\n if (v == null || !isFinite(v)) return '#888896';\n if (key === 'gradient') return gradientColor(v);\n if (key === 'speed') {\n if (speedMode === 'pace') {\n const speed = (paceUnit === 'km' ? 1000 : 100) / v;\n return speedColor(speed);\n }\n return speedColor(v);\n }\n const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min)));\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25);\n if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25);\n if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25);\n return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25);\n });\n }\n\n function resetZoom() {\n cancelSelection();\n }\n\n function cancelSelection() {\n selAnchorVal = null;\n selEndVal = null;\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n\n // Reset individual histogram pins\n plots.forEach((p) => {\n p.pinnedHistY = null;\n });\n\n updateSelOverlay();\n redrawHistograms();\n\n // Perform the actual zoom reset\n scaleSyncing = true;\n plots.forEach(({ uplot: u, xData }) => {\n u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! }));\n u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!);\n });\n scaleSyncing = false;\n\n if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis);\n }\n\n function setSelectionStats(stats: TrackStats) {\n if (!selStatsEl) return;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt(\n 'sel-distance',\n stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '\u2014',\n );\n fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '\u2014');\n fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '\u2014');\n fmt(\n 'sel-avg-speed',\n stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014',\n );\n fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '\u2014');\n fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '\u2014');\n fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n selStatsEl.classList.remove('hidden');\n if (resetSelBtn) resetSelBtn.classList.remove('hidden');\n }\n\n function clearSelectionStats() {\n if (selStatsEl) selStatsEl.classList.add('hidden');\n if (resetSelBtn) resetSelBtn.classList.add('hidden');\n [\n 'sel-distance',\n 'sel-duration',\n 'sel-elevation',\n 'sel-avg-speed',\n 'sel-avg-power',\n 'sel-avg-hr',\n 'sel-avg-temp',\n ].forEach((id) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = '--';\n });\n }\n\n // Called on boot to restore a saved selection without re-firing onRangeChangeCb\n // xMin/xMax are ALWAYS provided in Time (seconds from start)\n function restoreSelection(tMin: number, tMax: number, deferRender = false) {\n if (!currentTrack) return;\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000;\n\n // If values look like absolute timestamps in ms, convert to seconds from start\n if (tMin > 1e12) tMin = (tMin - t0) / 1000;\n if (tMax > 1e12) tMax = (tMax - t0) / 1000;\n\n // Crop to max limits of the track\n tMin = Math.max(0, Math.min(tMin, totalDuration));\n tMax = Math.max(0, Math.min(tMax, totalDuration));\n\n const convert = (tOffset: number) => {\n if (xAxis === 'time') return tOffset;\n const tTarget = t0 + tOffset * 1000;\n let idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n if (idx === -1) idx = pts.length - 1;\n return (pts[idx].dist || 0) / 1000;\n };\n\n const xMin = convert(tMin);\n const xMax = convert(tMax);\n\n selAnchorVal = xMin;\n selEndVal = xMax;\n currentXRange = [xMin, xMax];\n if (deferRender) return;\n scaleSyncing = true; // suppress the setScale \u2192 onRangeChangeCb loop\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: xMin, max: xMax }));\n });\n scaleSyncing = false;\n updateAnchorLines();\n redrawHistograms();\n }\n\n function resize() {\n if (!plots.length || !container) return;\n const w = Math.round(\n Math.max(\n 100,\n container.getBoundingClientRect().width -\n ROW_BODY_PADDING -\n (statsVisible ? HIST_W + HIST_GAP : 0),\n ),\n );\n let anyResized = false;\n plots.forEach(({ uplot: u, histCanvas, histData }) => {\n if (w !== u.width) {\n u.setSize({ width: w, height: u.height });\n anyResized = true;\n if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height);\n }\n });\n if (anyResized) updateSelOverlay();\n }\n\n // \u2500\u2500 Render \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function render(keepState = false) {\n let savedRange: [number, number] | null = null;\n let savedScroll = 0;\n if (keepState && container) savedScroll = container.scrollTop;\n\n if (keepState && currentXRange) {\n savedRange = [currentXRange[0], currentXRange[1]];\n } else if (keepState && plots.length) {\n const u = plots[0].uplot;\n savedRange = [u.scales.x!.min!, u.scales.x!.max!];\n }\n\n if (!currentTrack) {\n destroyPlots(keepState);\n return;\n }\n const pts = currentTrack.points;\n if (!pts.length) {\n destroyPlots(keepState);\n return;\n }\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n const available = [...activeMetrics].filter((m) =>\n pts.some((p) => p[METRICS[m].field] != null),\n );\n if (!available.length) {\n destroyPlots(keepState);\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
No data for selected metrics
\n `;\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n\n const containerW = container ? container.getBoundingClientRect().width : 800;\n const w = Math.round(\n Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)),\n );\n\n const canReuse =\n keepState &&\n renderedTrack === currentTrack &&\n renderedXAxis === xAxis &&\n renderedSpeedMode === speedMode &&\n renderedMapColorMetric === mapColorMetric &&\n plots.length > 0;\n\n let xData: (number | null)[];\n if (canReuse) {\n xData = plots[0].xData;\n } else if (xAxis === 'distance') {\n xData = pts.map((p) => (p.dist || 0) / 1000);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n let lastValidX = 0;\n xData = pts.map((p) => {\n if (p.time != null) {\n lastValidX = (p.time - t0) / 1000;\n return lastValidX;\n }\n return lastValidX; // monotonic fallback\n });\n }\n\n const existingByKey = new Map();\n if (canReuse) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const availSet = new Set(available);\n for (const p of plots) {\n const isSmoothed = smoothedMetrics.has(p.metricKey);\n const isIncZero = metricsIncludingZero.has(p.metricKey);\n if (\n availSet.has(p.metricKey) &&\n p.smoothed === isSmoothed &&\n p.incZero === isIncZero &&\n p.w === w\n ) {\n existingByKey.set(p.metricKey, p);\n } else {\n syncKey!.unsub(p.uplot);\n p.uplot.destroy();\n p.row.remove();\n }\n }\n plots = [];\n } else {\n destroyPlots(keepState);\n }\n\n if (container) {\n const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null);\n let nextExisting: HTMLElement | null = null;\n for (let i = available.length - 1; i >= 0; i--) {\n nextSiblingRows[i] = nextExisting;\n const ex = existingByKey.get(available[i]);\n if (ex) nextExisting = ex.row;\n }\n\n available.forEach((key, idx) => {\n const reused = existingByKey.get(key);\n if (reused) {\n plots.push(reused);\n const uplot = reused.uplot;\n const s = (uplot as any)._strasse;\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n uplot.batch(() => {\n if (\n savedRange &&\n (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1])\n ) {\n uplot.setScale('x', { min: savedRange[0], max: savedRange[1] });\n } else {\n s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot);\n uplot.redraw(false);\n }\n });\n scaleSyncing = prevSync;\n\n let initHoverBinI: number | null = null;\n if (\n pinnedPtIdx != null &&\n reused.xData[pinnedPtIdx] != null &&\n reused.yData[pinnedPtIdx] != null\n ) {\n buildHistBins(reused.histData);\n if (reused.histData.min != null && reused.histData.max != null) {\n const span = reused.histData.max - reused.histData.min || 1;\n initHoverBinI = Math.min(\n reused.histData.BINS - 1,\n Math.floor(\n ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) *\n reused.histData.BINS,\n ),\n );\n reused.hoveredHistY = reused.yData[pinnedPtIdx];\n }\n }\n drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI);\n return;\n }\n\n let def = METRICS[key];\n\n let transform = def.transform;\n let fmt = def.fmt;\n let fmtAxis = def.fmtAxis;\n let unit = def.unit;\n let label = def.label;\n\n if (key === 'speed' && speedMode === 'pace') {\n label = 'Pace';\n unit = `min/${paceUnit}`;\n fmt = (v) => fmtPace(v);\n fmtAxis = (v) => fmtPace(v);\n transform = (v) => {\n if (v == null || v < 0.1) return null;\n return (paceUnit === 'km' ? 1000 : 100) / v;\n };\n\n def = { ...def, label, unit, fmt, fmtAxis, transform };\n }\n\n let yData = def.compute\n ? def.compute(pts, fillNulls)\n : fillNulls(\n pts.map((p) => {\n const v = p[def.field] as number;\n return v != null && transform ? transform(v) : v;\n }),\n );\n\n if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2);\n\n createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]);\n });\n }\n\n renderedTrack = currentTrack;\n renderedXAxis = xAxis;\n renderedSpeedMode = speedMode;\n renderedMapColorMetric = mapColorMetric;\n\n updateStats(currentTrack);\n // Restore anchor/end lines if a selection was active\n if (selAnchorVal != null && selEndVal != null) updateAnchorLines();\n // Re-apply map color if active\n _updateMapColorBtns();\n if (mapColorMetric) _fireMapColorCb();\n\n if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll;\n }\n\n // \u2500\u2500 Create one chart row \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function createChart(\n metricKey: string,\n def: MetricDefinition,\n xData: (number | null)[],\n yData: (number | null)[],\n w: number,\n pts: TrackPoint[],\n initialRange: [number, number] | null = null,\n insertBeforeEl: HTMLElement | null = null,\n ) {\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n\n // Gradient data: smooth over a 20 m distance window (\u00B110 m each side)\n const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null;\n const row = document.createElement('div');\n row.className = 'chart-row';\n row.dataset.metric = metricKey;\n row.style.setProperty('--chart-color', def.color);\n\n // Header\n const header = document.createElement('div');\n header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`;\n\n const labelEl = document.createElement('div');\n labelEl.className = 'chart-row-label-group';\n labelEl.innerHTML = `\n ${def.icon}\n ${def.label}\n `;\n\n // Smoothing toggle\n const smoothBtn = document.createElement('button');\n smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`;\n smoothBtn.title = 'Toggle data smoothing';\n smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`;\n smoothBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey);\n else smoothedMetrics.add(metricKey);\n\n render(true); // Re-render all charts to keep sync if needed (though only this one changes data)\n });\n\n const mapColorBtn = document.createElement('button');\n\n mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`;\n mapColorBtn.dataset.metric = metricKey;\n mapColorBtn.title = 'Color map track by this metric';\n mapColorBtn.innerHTML = 'colorize';\n mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey));\n\n // Zero-filter toggle (Cadence/Power/Speed)\n let zeroBtn: HTMLButtonElement | null = null;\n if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') {\n zeroBtn = document.createElement('button');\n const incZero = metricsIncludingZero.has(metricKey);\n zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`;\n zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values';\n zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`;\n zeroBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey);\n else metricsIncludingZero.add(metricKey);\n render(true);\n });\n }\n\n const statsTotalEl = document.createElement('div');\n statsTotalEl.className = 'chart-stats-total';\n\n const statsSelEl = document.createElement('div');\n statsSelEl.className = 'chart-stats-selection';\n\n const statsContainer = document.createElement('div');\n statsContainer.className = 'chart-row-stats-container';\n statsContainer.append(statsTotalEl, statsSelEl);\n\n const actionsEl = document.createElement('div');\n actionsEl.className = 'chart-row-actions';\n actionsEl.append(smoothBtn, mapColorBtn);\n\n const rightActionsEl = document.createElement('div');\n rightActionsEl.className = 'chart-row-right-actions';\n\n if (metricKey === 'speed') {\n const paceToggle = document.createElement('div');\n paceToggle.className = 'seg-ctrl';\n paceToggle.innerHTML = `\n \n \n `;\n paceToggle.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const mode = btn.dataset.mode;\n if (mode === 'speed' || mode === 'pace') {\n const isDefault = mode === defaultMode;\n UrlState.patch({ speed_mode: isDefault ? null : mode });\n render(true);\n }\n });\n rightActionsEl.append(paceToggle);\n }\n\n if (zeroBtn) rightActionsEl.append(zeroBtn);\n\n header.append(labelEl, actionsEl, statsContainer, rightActionsEl);\n\n const rowBody = document.createElement('div');\n rowBody.className = 'chart-row-body';\n\n const plotEl = document.createElement('div');\n plotEl.style.position = 'relative';\n rowBody.appendChild(plotEl);\n\n const fixedMinLabel = document.createElement('div');\n fixedMinLabel.className = 'fixed-x-label fixed-x-min';\n const fixedMaxLabel = document.createElement('div');\n fixedMaxLabel.className = 'fixed-x-label fixed-x-max';\n plotEl.append(fixedMinLabel, fixedMaxLabel);\n\n const histCol = document.createElement('div');\n histCol.className = `hist-col${statsVisible ? ' visible' : ''}`;\n const histCanvas = document.createElement('canvas');\n histCanvas.className = 'hist-canvas';\n histCol.appendChild(histCanvas);\n rowBody.appendChild(histCol);\n\n row.append(header, rowBody);\n\n const isDistAxis = xAxis === 'distance';\n\n function formatX(v: number, range: number): string {\n if (v == null) return '';\n if (isDistAxis) {\n const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0;\n return `${v.toFixed(dec)} km`;\n } else {\n const absV = Math.abs(v);\n const h = Math.floor(absV / 3600);\n const m = Math.floor((absV % 3600) / 60);\n const s = Math.round(absV % 60);\n const hh = h > 0 ? `${h}:` : '';\n const mm = h > 0 ? String(m).padStart(2, '0') : String(m);\n const ss = String(s).padStart(2, '0');\n return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`;\n }\n }\n\n const incZeroDefault =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Compute global Y range and full-track stats in a single pass\n let gMin = Infinity,\n gMax = -Infinity,\n allSum = 0,\n allCount = 0,\n filtMin = Infinity,\n filtMax = -Infinity,\n filtSum = 0,\n filtCount = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < gMin) gMin = v;\n if (v > gMax) gMax = v;\n allSum += v;\n allCount++;\n if (v !== 0 || incZeroDefault) {\n if (v < filtMin) filtMin = v;\n if (v > filtMax) filtMax = v;\n filtSum += v;\n filtCount++;\n }\n }\n if (allCount === 0) {\n gMin = 0;\n gMax = 100;\n }\n const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null;\n const fullStatsFiltered = filtCount\n ? { min: filtMin, max: filtMax, avg: filtSum / filtCount }\n : null;\n const gPad = Math.abs(gMax - gMin) * 0.1 || 1;\n const fixedYRange = [gMin - gPad, gMax + gPad];\n\n let statsTotalInitialized = false;\n\n // Per-range stats\n function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) {\n const incZero =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Update fixed X labels\n const range = visibleMax - visibleMin;\n fixedMinLabel.textContent = formatX(visibleMin, range);\n fixedMaxLabel.textContent = formatX(visibleMax, range);\n\n const getHtml = (xMin: number, xMax: number, isFull = false) => {\n const s =\n isFull && incZero === incZeroDefault\n ? fullStatsFiltered\n : rangeStats(xData, yData, xMin, xMax, incZero);\n if (!s) return '';\n\n let h = `\n align_flex_end${def.fmt(s.min, true)} ${def.unit}\n align_center${def.fmt(s.avg, true)} ${def.unit}\n align_flex_start${def.fmt(s.max, true)} ${def.unit}\n `;\n\n if (metricKey === 'elevation') {\n const es = elevationRangeStats(pts, xMin, xMax);\n h += `\n trending_up+${Math.round(es.gain)} m\n trending_down-${Math.round(es.loss)} m\n `;\n }\n return h;\n };\n\n if (!statsTotalInitialized) {\n statsTotalInitialized = true;\n statsTotalEl.innerHTML = `all_inclusive${getHtml(\n xData[0]!,\n xData[xData.length - 1]!,\n true,\n )}`;\n statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => {\n e.stopPropagation();\n cancelSelection();\n });\n }\n\n if (selAnchorVal !== null && selEndVal !== null) {\n statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false);\n statsSelEl.style.display = 'flex';\n statsSelEl.style.setProperty('--sel-color', def.color);\n } else {\n statsSelEl.style.display = 'none';\n }\n }\n let initializingScale = false;\n const uOpts: uPlot.Options = {\n width: w,\n height: 130,\n padding: [4, 0, 0, 0],\n cursor: {\n sync: {\n key: syncKey!.key,\n },\n drag: { x: true, y: false, uni: 16 },\n focus: { prox: 16 },\n points: {\n size: 7,\n stroke: '#0e0e10',\n width: 2,\n fill: (metricKey === 'elevation'\n ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null)\n : def.color) as any,\n },\n x: false,\n y: false,\n },\n select: {\n show: true,\n left: 0,\n top: 0,\n width: 0,\n height: 0,\n },\n legend: { show: false },\n scales: {\n x: {\n time: false,\n range: (_u: uPlot, mn: number, mx: number) => [mn, mx],\n min: initialRange ? initialRange[0] : undefined,\n max: initialRange ? initialRange[1] : undefined,\n },\n y: {\n range: () => fixedYRange as [number, number],\n dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1,\n },\n },\n axes: [\n {\n side: 2, // bottom\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: {\n show: true,\n stroke: '#2e2e34',\n },\n size: 30,\n space: 80,\n font: '10px system-ui, sans-serif',\n splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => {\n const range = scaleMax - scaleMin;\n const width = u.bbox.width > 0 ? u.bbox.width : u.width;\n const targetLabels = width / 80;\n const idealIncr = range / targetLabels;\n\n let incrs;\n if (!isDistAxis) {\n // Time in seconds\n incrs = [\n 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200,\n 86400, 604800, 2592000, 31536000,\n ];\n } else {\n incrs = [\n 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,\n 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000,\n ];\n }\n\n let incr = incrs[incrs.length - 1];\n for (let i = 0; i < incrs.length; i++) {\n if (incrs[i] >= idealIncr) {\n incr = incrs[i];\n break;\n }\n }\n\n const splits = [];\n let val = Math.ceil(scaleMin / incr) * incr;\n const precision = incr < 1 ? 2 : 0;\n\n while (val <= scaleMax) {\n const pos = u.valToPos(val, 'x', true);\n if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80)\n splits.push(Number(val.toFixed(precision)));\n\n val += incr;\n }\n return splits;\n },\n values: ((_u: uPlot, vals: number[]) => {\n const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0);\n\n return vals.map((v) => {\n if (v == null) return '';\n const pos = _u.valToPos(v, 'x', true);\n // Strict 80px margin to prevent overlapping with fixed labels or Y axis\n if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null;\n return formatX(v, range);\n });\n }) as any,\n },\n {\n side: 3, // left\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: { stroke: '#2e2e34' },\n size: 55,\n font: '10px system-ui, sans-serif',\n values: ((_u: uPlot, vals: number[]) =>\n vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any,\n },\n ],\n series: [\n {},\n // Main selected track series\n {\n label: def.label,\n stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering\n width: 0,\n points: { show: false },\n paths: () => null,\n },\n ],\n hooks: {\n draw: [\n (u: uPlot) => {\n const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area!\n fixedMinLabel.style.top = `${top}px`;\n fixedMinLabel.style.left = `${u.bbox.left}px`;\n\n fixedMaxLabel.style.top = `${top}px`;\n fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`;\n fixedMaxLabel.style.transform = 'translateX(-100%)';\n },\n // 1. (bottom) Color / metric color of the selected track\n (u: uPlot) => {\n if (metricKey === 'gears') {\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n } else if (metricKey === 'elevation') {\n drawElevationGradient(u, xData as number[], yData as number[], gradData);\n } else if (metricKey === 'gradient') {\n drawGradientChart(u, xData as number[], yData as number[]);\n } else if (mapColorMetric === metricKey) {\n drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey);\n } else {\n // Normal colored line\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n }\n },\n\n // 2. Pinned point (middle)\n (u: uPlot) => {\n const plot = plots.find((p) => p.uplot === u);\n if (!plot) return;\n\n const s = (u as any)._strasse;\n // Priority 1: Global pinned point (all charts)\n if (pinnedPtIdx != null) {\n drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey);\n } else {\n if (s && s.pinYVal) s.pinYVal.style.display = 'none';\n\n // Priority 2: Individual histogram pinned Y-pos (this chart only)\n if (plot.pinnedHistY != null)\n drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def);\n }\n },\n\n // 3. Pinned & Hover elements (labels, vertical lines)\n (u: uPlot) => {\n const hIdx = u.cursor.idx;\n const hasPinned = pinnedPtIdx != null;\n\n let hasHover = hIdx != null && u.cursor.left! >= 0;\n if (hasHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[hIdx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) hasHover = false;\n }\n\n // B. Draw Hover vertical line\n if (hasHover && hIdx !== pinnedPtIdx)\n drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0);\n\n // C. Bold selection x-axis line & span pill\n if (selAnchorVal != null && selEndVal != null) {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ax = u.valToPos(selAnchorVal, 'x', true);\n const ex = u.valToPos(selEndVal, 'x', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.lineWidth = 3 * dpr;\n ctx.strokeStyle = def.color;\n ctx.moveTo(ax, bb.top + bb.height);\n ctx.lineTo(ex, bb.top + bb.height);\n ctx.stroke();\n\n const span = Math.abs(selEndVal - selAnchorVal);\n const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span);\n const fontSize = 9 * dpr;\n const fontStr = `bold ${fontSize}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n\n const visibleL = Math.max(bb.left, ax);\n const visibleR = Math.min(bb.left + bb.width, ex);\n const visibleW = visibleR - visibleL;\n\n if (visibleW > tw + 14 * dpr) {\n const padH = 5 * dpr;\n const padV = 2 * dpr;\n const bw = tw + padH * 2;\n const bh = fontSize + padV * 2;\n const bx = (visibleL + visibleR) / 2 - bw / 2;\n const by = bb.top + bb.height - bh / 2;\n\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = def.color;\n ctx.fill();\n\n ctx.fillStyle = '#000';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2);\n }\n ctx.restore();\n }\n\n // D. Draw label pills (on top)\n // Pinned labels first (semi-transparent)\n if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7);\n\n // Hover labels last (fully opaque, topmost)\n if (hasHover && hIdx !== pinnedPtIdx)\n drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0);\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (scaleSyncing) return;\n const idx = u.cursor.idx;\n\n // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live\n // Note: uPlot handles cross-chart sync when syncKey is used.\n u.redraw(false);\n\n // Track current x-value for keyboard navigation\n if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x');\n else lastMouseXVal = null;\n\n // \u2500\u2500 Floating y-value next to cursor dot \u2500\u2500\n const s = (u as any)._strasse;\n let showHover = idx != null && yData[idx] != null;\n\n // Distance threshold: if no pinned point, check proximity to data line\n if (showHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[idx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) showHover = false;\n }\n\n if (s) {\n if (showHover)\n updateTooltip(\n u,\n s.curYVal,\n idx!,\n xData as number[],\n yData as number[],\n pts,\n def,\n metricKey,\n );\n else s.curYVal.style.display = 'none';\n }\n\n // Map marker\n if (!cursorSyncing) {\n if (idx != null && pts[idx]) {\n if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) {\n onCursorMoveCb(pts[idx]);\n } else if (onCursorMoveCb && !showHover) {\n // If we're too far and nothing is pinned, hide map cursor\n onCursorMoveCb(null);\n }\n } else if (idx === null && onCursorMoveCb) {\n onCursorMoveCb(null);\n }\n }\n\n // Highlight matching histogram bucket\n if (idx != null && yData[idx] != null) {\n const { min, max } = histData;\n if (min != null && max != null) {\n const span = max - min || 1;\n const binI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[idx]! - min) / span) * histData.BINS),\n );\n if (plot.hoveredHistY !== yData[idx]) {\n plot.hoveredHistY = yData[idx];\n drawHistogram(histCanvas, histData, 130, binI);\n }\n }\n } else if (plot.hoveredHistY !== null) {\n plot.hoveredHistY = null;\n drawHistogram(histCanvas, histData, 130);\n }\n },\n ],\n\n setScale: [\n (u: uPlot, key: string) => {\n if (key !== 'x' || initializingScale) return;\n const { min, max } = u.scales.x!;\n\n // Sync currentXRange so keyboard navigation baseline is always accurate\n currentXRange = [min!, max!];\n\n // Update header stats for VISIBLE range\n updateHeaderStats(min as number, max as number, u);\n\n if (scaleSyncing) return;\n\n // Clear keyboard target when user interacts via mouse\n if (!updatingRange) targetXRange = null;\n\n // Sync sibling plots\n scaleSyncing = true;\n plots.forEach(({ uplot: other }) => {\n if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! }));\n });\n scaleSyncing = false;\n\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb && selAnchorVal !== null)\n onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n },\n ],\n\n setSelect: [\n (u: uPlot) => {\n if (updatingRange) return;\n targetXRange = null;\n const { left, width } = u.select;\n if (width > 0) {\n const min = u.posToVal(left, 'x');\n const max = u.posToVal(left + width, 'x');\n selAnchorVal = min;\n selEndVal = max;\n\n // Sync stats to new selection\n updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u);\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n\n // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction\n u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false);\n }\n },\n ],\n },\n };\n\n // \u2500\u2500 Overlay (pointer-events off except handles) \u2500\u2500\n const overlay = document.createElement('div');\n overlay.style.cssText =\n 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5';\n\n // Selection fill\n const selFill = document.createElement('div');\n selFill.className = 'sel-fill';\n selFill.style.display = 'none';\n\n // Anchor line + label + drag handle\n const anchorLine = document.createElement('div');\n anchorLine.className = 'sel-line sel-line-anchor';\n anchorLine.style.display = 'none';\n\n const anchorLabel = document.createElement('div');\n anchorLabel.className = 'sel-line-label sel-line-label-anchor';\n anchorLabel.style.display = 'none';\n\n const anchorHandle = document.createElement('div');\n anchorHandle.className = 'sel-handle sel-handle-anchor';\n anchorHandle.style.display = 'none';\n\n const anchorMarker = document.createElement('div');\n anchorMarker.className = 'sel-graph-marker';\n anchorMarker.innerHTML =\n 'play_circle';\n anchorMarker.style.display = 'none';\n\n // End line + label + drag handle\n const endLine = document.createElement('div');\n endLine.className = 'sel-line sel-line-end';\n endLine.style.display = 'none';\n\n const endLabel = document.createElement('div');\n endLabel.className = 'sel-line-label sel-line-label-end';\n endLabel.style.display = 'none';\n\n const endHandle = document.createElement('div');\n endHandle.className = 'sel-handle sel-handle-end';\n endHandle.style.display = 'none';\n\n const endMarker = document.createElement('div');\n endMarker.className = 'sel-graph-marker';\n endMarker.innerHTML =\n 'stop_circle';\n endMarker.style.display = 'none';\n\n // Floating cursor y-value\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${def.color};display:none`;\n\n // Floating pinned y-value\n const pinYVal = document.createElement('div');\n pinYVal.className = 'cur-y-val pin';\n pinYVal.style.cssText = `color:${def.color};display:none`;\n\n overlay.append(\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n );\n\n const histData: HistData = {\n yData,\n xData: xData as number[],\n def,\n BINS: 24,\n min: allCount ? gMin : undefined,\n max: allCount ? gMax : undefined,\n fullStats: fullStatsFiltered,\n fullStatsAll,\n };\n const plot: PlotData = {\n uplot: null as any,\n row,\n xData: xData as number[],\n yData,\n def,\n metricKey,\n statsTotalEl,\n statsSelEl,\n histCol,\n histCanvas,\n histData,\n hoveredHistY: null,\n pinnedHistY: null,\n smoothed: smoothedMetrics.has(metricKey),\n incZero: metricsIncludingZero.has(metricKey),\n w,\n };\n histData.plot = plot; // Back-reference for tooltip to trigger redraws\n\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => {\n plot.uplot = self as WegPlot;\n plots.push(plot);\n plotEl.appendChild(self.root);\n self.over.appendChild(overlay);\n (self as any)._strasse = {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n updateHeaderStats,\n };\n self.batch(() => {\n init();\n });\n }) as WegPlot;\n scaleSyncing = prevSync;\n\n // \u2500\u2500 Handle drag \u2500\u2500\n attachHandleDrag(anchorHandle, uplot, xData, true);\n attachHandleDrag(endHandle, uplot, xData, false);\n\n // \u2500\u2500 Mouse listeners \u2500\u2500\n let mousedownX: number | null = null;\n uplot.over.addEventListener('mousedown', (e) => {\n if (e.button !== 0) return;\n isDragging = false;\n const rect = uplot.over.getBoundingClientRect();\n const xPx = e.clientX - rect.left;\n mousedownX = xPx;\n });\n uplot.over.addEventListener('mousemove', (e) => {\n if (mousedownX !== null) {\n const rect = uplot.over.getBoundingClientRect();\n if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true;\n }\n });\n uplot.over.addEventListener('mouseup', () => {\n mousedownX = null;\n });\n\n // Click to pin point (sticky selection)\n uplot.over.addEventListener('click', () => {\n if (isDragging) return;\n const idx = uplot.cursor.idx;\n if (idx != null && pts[idx]) {\n pinnedPtIdx = idx;\n plots.forEach(({ uplot: u }) => u.redraw(false));\n if (onClickCb) onClickCb(pts[idx], idx);\n if (onPinChangeCb) onPinChangeCb(idx);\n }\n });\n\n row.addEventListener('dblclick', cancelSelection);\n\n let initHoverBinI: number | null = null;\n if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) {\n buildHistBins(histData);\n if (histData.min != null && histData.max != null) {\n const span = histData.max - histData.min || 1;\n initHoverBinI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS),\n );\n plot.hoveredHistY = yData[pinnedPtIdx];\n }\n }\n\n drawHistogram(histCanvas, histData, 130, initHoverBinI);\n attachHistTooltip(histCanvas, histData);\n if (container) {\n if (insertBeforeEl) container.insertBefore(row, insertBeforeEl);\n else container.appendChild(row);\n }\n }\n\n // \u2500\u2500 Selection overlay (fill + lines + handles) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateSelOverlay() {\n updateAnchorLines();\n // Redraw canvas markers (bold selection line + span pill)\n plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false)));\n }\n\n function updateAnchorLines() {\n plots.forEach(({ uplot: u, def }) => {\n const s = (u as any)._strasse;\n if (!s) return;\n const {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n } = s;\n if (selAnchorVal == null || selEndVal == null) {\n [\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n ].forEach((el: HTMLElement) => {\n el.style.display = 'none';\n });\n return;\n }\n const aX = u.valToPos(selAnchorVal, 'x');\n const eX = u.valToPos(selEndVal, 'x');\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const overW = bb.width / dpr;\n const overH = bb.height / dpr;\n const plotBottom = (bb.top + bb.height) / dpr;\n\n const isAnchorVisible = aX >= 0 && aX <= overW;\n const isEndVisible = eX >= 0 && eX <= overW;\n\n // Fill: clamp left/right to visible area\n const fillL = Math.max(0, aX);\n const fillR = Math.min(overW, eX);\n if (fillR > fillL) {\n selFill.style.left = `${fillL}px`;\n selFill.style.width = `${fillR - fillL}px`;\n selFill.style.top = '0';\n selFill.style.height = `${overH}px`;\n selFill.style.backgroundColor = hexToRgba(def.color, 0.07);\n selFill.style.display = '';\n } else {\n selFill.style.display = 'none';\n }\n\n // Anchor line\n if (isAnchorVisible) {\n anchorLine.style.left = `${aX}px`;\n anchorLine.style.height = `${overH}px`;\n anchorLine.style.borderLeftColor = def.color;\n anchorLine.style.display = '';\n // Anchor label\n const aText = fmtXVal(selAnchorVal);\n anchorLabel.textContent = aText;\n const aLabelW = aText.length * 7 + 10;\n anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`;\n anchorLabel.style.display = '';\n // Anchor handle\n anchorHandle.style.left = `${aX}px`;\n anchorHandle.style.backgroundColor = def.color;\n anchorHandle.style.display = '';\n // Anchor marker: centered on the bold line\n anchorMarker.style.left = `${aX}px`;\n anchorMarker.style.top = `${plotBottom}px`;\n const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (aIcon) aIcon.style.color = def.color;\n anchorMarker.style.display = '';\n } else {\n [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n\n // End line\n if (isEndVisible) {\n endLine.style.left = `${eX}px`;\n endLine.style.height = `${overH}px`;\n endLine.style.borderLeftColor = def.color;\n endLine.style.display = '';\n // End label\n const eText = fmtXVal(selEndVal);\n endLabel.textContent = eText;\n const eLabelW = eText.length * 7 + 10;\n endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`;\n endLabel.style.display = '';\n // End handle\n endHandle.style.left = `${eX}px`;\n endHandle.style.backgroundColor = def.color;\n endHandle.style.display = '';\n // End marker: centered on the bold line\n endMarker.style.left = `${eX}px`;\n endMarker.style.top = `${plotBottom}px`;\n const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (eIcon) eIcon.style.color = def.color;\n endMarker.style.display = '';\n } else {\n [endLine, endLabel, endHandle, endMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n });\n }\n\n function fmtXVal(v: number) {\n return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v);\n }\n\n // \u2500\u2500 Handle drag logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function attachHandleDrag(\n handleEl: HTMLElement,\n uplot: uPlot,\n xData: (number | null)[],\n isAnchor: boolean,\n ) {\n // pointer-events enabled on the handle itself\n handleEl.style.pointerEvents = 'auto';\n\n handleEl.addEventListener('mousedown', (e) => {\n e.stopPropagation();\n e.preventDefault();\n const startX = e.clientX;\n const startVal = isAnchor ? selAnchorVal : selEndVal;\n const overW = uplot.over.offsetWidth;\n // px-per-data-unit at current zoom\n const xMin = uplot.scales.x!.min!,\n xMax = uplot.scales.x!.max!;\n const pxPerUnit = overW / (xMax - xMin);\n const xFull = [xData[0]!, xData[xData.length - 1]!];\n\n document.body.style.cursor = 'ew-resize';\n isDragging = true;\n\n function onMove(me: MouseEvent) {\n const dx = me.clientX - startX;\n let newVal = (startVal || 0) + dx / pxPerUnit;\n newVal = Math.max(xFull[0], Math.min(xFull[1], newVal));\n\n if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001);\n else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001);\n\n // When dragging handles, we typically want to stay zoomed to the selection?\n // Actually, let's keep the zoom as is, and just update the selection overlay and stats.\n plots.forEach((p) =>\n (p.uplot as any)._strasse?.updateHeaderStats(\n p.uplot.scales.x!.min!,\n p.uplot.scales.x!.max!,\n ),\n );\n updateSelOverlay();\n redrawHistograms();\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n }\n\n function onUp() {\n document.body.style.cursor = '';\n isDragging = false;\n document.removeEventListener('mousemove', onMove);\n document.removeEventListener('mouseup', onUp);\n }\n\n document.addEventListener('mousemove', onMove);\n document.addEventListener('mouseup', onUp);\n });\n }\n\n // \u2500\u2500 Histogram logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function buildHistBins(histData: HistData) {\n const { yData, xData, BINS } = histData;\n\n // Cache to avoid re-binning every frame during hover\n if (histData._lastYData === yData && histData.bins) return;\n histData._lastYData = yData;\n\n let min = histData.min;\n let max = histData.max;\n if (min == null || max == null) {\n let lo = Infinity,\n hi = -Infinity,\n cnt = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < lo) lo = v;\n if (v > hi) hi = v;\n cnt++;\n }\n if (!cnt) return;\n min = lo;\n max = hi;\n histData.min = min;\n histData.max = max;\n }\n\n const bins = new Array(BINS).fill(0);\n const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km)\n\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n bins[bi]++;\n\n // weight by x-delta\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n binAccum[bi] += (next - prev) / 2;\n }\n histData.bins = bins;\n histData.binAccum = binAccum;\n }\n\n function redrawHistograms() {\n plots.forEach(({ histCanvas, histData, uplot: u }) => {\n drawHistogram(histCanvas, histData, u.height);\n });\n }\n\n function drawHistogram(\n canvas: HTMLCanvasElement,\n histData: HistData,\n chartH: number,\n hoverBinI: number | null = null,\n ) {\n const { def, BINS } = histData;\n buildHistBins(histData);\n const { bins, min, max } = histData;\n if (!bins || min == null || max == null) return;\n\n const hasSel = selAnchorVal != null && selEndVal != null;\n\n // Compute selection bins if a range is active and changed\n if (\n hasSel &&\n (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal)\n ) {\n histData._lastSelRange = [selAnchorVal!, selEndVal!];\n const selBins = new Array(BINS).fill(0);\n const selBinAccum = new Array(BINS).fill(0);\n const { yData, xData } = histData;\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const x = xData[i];\n if (x == null || x < selAnchorVal! || x > selEndVal!) continue;\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n selBins[bi]++;\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n selBinAccum[bi] += (next - prev) / 2;\n }\n histData.selBins = selBins;\n histData.selBinAccum = selBinAccum;\n } else if (!hasSel) {\n histData.selBins = null;\n histData.selBinAccum = null;\n histData._lastSelRange = null;\n }\n const selBins = histData.selBins;\n\n const dpr = window.devicePixelRatio || 1;\n const W = HIST_W;\n const H = chartH;\n\n // Performance: only set dimensions if they changed (resets canvas)\n if (canvas.width !== W * dpr || canvas.height !== H * dpr) {\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n canvas.style.width = `${W}px`;\n canvas.style.height = `${H}px`;\n }\n\n const ctx = canvas.getContext('2d')!;\n ctx.resetTransform();\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const peak = Math.max(...bins);\n\n // Measure label width so bars start right after them\n const fmt = (v: number) => def.fmtAxis(v);\n const fontStr = '9px system-ui, sans-serif';\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const labelW = Math.ceil(\n Math.max(\n ctx.measureText(`${fmt(max)} ${def.unit}`).width,\n ctx.measureText(`${fmt(min)} ${def.unit}`).width,\n ),\n );\n\n // Vertical alignment with main graph:\n // uPlot padding: [4, 0, 0, 0]\n // Axis size: 30\n const pad = { t: 4, r: 0, b: 30, l: labelW + 6 };\n histData.padL = pad.l;\n const plotW = W - pad.l - pad.r;\n const plotH = H - pad.t - pad.b;\n\n // bin 0 = lowest values \u2192 drawn at bottom; bin BINS-1 = highest \u2192 drawn at top\n const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS);\n const binH = plotH / BINS - 1;\n\n // Full distribution (dimmed when selection active)\n const baseAlpha = hasSel ? 0.15 : 0.6;\n ctx.fillStyle = hexToRgba(def.color, baseAlpha);\n for (let i = 0; i < BINS; i++) {\n if (!bins[i]) continue;\n const bw = (bins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n\n // Selection overlay (bright)\n if (selBins) {\n ctx.fillStyle = hexToRgba(def.color, 0.85);\n for (let i = 0; i < BINS; i++) {\n if (!selBins[i]) continue;\n const bw = (selBins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n ctx.fillStyle = def.color;\n ctx.fillRect(pad.l, pad.t, 2, plotH);\n }\n\n // CDF overlay \u2014 smooth curve from bottom (0%) to top (100%)\n const total = bins.reduce((s, v) => s + v, 0);\n if (total > 0) {\n // Build CDF points: one per bin boundary, bottom\u2192top\n const pts2 = [{ x: pad.l, y: pad.t + plotH }];\n let cumSum = 0;\n for (let i = 0; i < BINS; i++) {\n cumSum += bins[i];\n pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) });\n }\n\n ctx.beginPath();\n // CDF line is now solid\n ctx.setLineDash([]);\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 0.75 * dpr;\n ctx.lineJoin = 'round';\n ctx.moveTo(pts2[0].x, pts2[0].y);\n for (let i = 1; i < pts2.length - 1; i++) {\n const mx = (pts2[i].x + pts2[i + 1].x) / 2;\n const my = (pts2[i].y + pts2[i + 1].y) / 2;\n ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my);\n }\n ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y);\n ctx.stroke();\n\n // \u2500\u2500 Hover highlight on CDF \u2500\u2500\n if (hoverBinI != null && pts2[hoverBinI + 1]) {\n const cp = pts2[hoverBinI + 1];\n // Vertical line down\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(def.color, 0.6);\n ctx.moveTo(cp.x, cp.y);\n ctx.lineTo(cp.x, pad.t + plotH);\n ctx.stroke();\n ctx.setLineDash([]);\n\n // Dot: tiny precision point\n ctx.beginPath();\n ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n }\n\n // Axis labels: max at top, min at bottom\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n const font9 = '9px system-ui, sans-serif';\n if (ctx.font !== font9) ctx.font = font9;\n ctx.textAlign = 'right';\n\n // Draw Max\n ctx.textBaseline = 'top';\n ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t);\n\n // Draw Min\n ctx.textBaseline = 'bottom';\n ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b);\n\n // Draw Avg (only if it doesn't overlap min/max)\n const stats =\n !hasSel && histData.fullStatsAll !== undefined\n ? histData.fullStatsAll\n : rangeStats(\n histData.xData,\n histData.yData,\n selAnchorVal || -Infinity,\n selEndVal || Infinity,\n );\n if (stats) {\n const avgY =\n pad.t +\n (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) *\n (plotH / BINS);\n const minLabelY = H - pad.b;\n const maxLabelY = pad.t;\n const labelHeight = 10; // Approx 10px height for 9px font\n\n if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) {\n ctx.textBaseline = 'middle';\n if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa';\n ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY);\n // Draw small indicator tick\n ctx.beginPath();\n ctx.moveTo(pad.l - 3, avgY);\n ctx.lineTo(pad.l, avgY);\n if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa';\n ctx.lineWidth = 1;\n ctx.stroke();\n }\n }\n\n // \u2500\u2500 Higher/Lower percentages below histogram \u2500\u2500\n if (hoverBinI != null && total > 0) {\n let countLower = 0;\n for (let i = 0; i < hoverBinI; i++) countLower += bins[i];\n let countHigher = 0;\n for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i];\n\n const pLower = Math.round((countLower / total) * 100);\n const pHigher = Math.round((countHigher / total) * 100);\n\n ctx.save();\n ctx.textAlign = 'left';\n ctx.textBaseline = 'top';\n const font8 = '8px system-ui, sans-serif';\n if (ctx.font !== font8) ctx.font = font8;\n\n const textY = H - pad.b + 6;\n\n // Draw \"Lower\" stat\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('LOWER', pad.l, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n const fontB10 = 'bold 10px system-ui, sans-serif';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pLower}%`, pad.l, textY + 10);\n\n // Draw \"Higher\" stat\n const midX = pad.l + plotW / 2;\n if (ctx.font !== font8) ctx.font = font8;\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('HIGHER', midX, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pHigher}%`, midX, textY + 10);\n\n ctx.restore();\n }\n }\n\n function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) {\n const { plot } = histData;\n\n canvas.addEventListener('click', (e) => {\n const binI = getBinAt(canvas, histData, e);\n if (binI != null && plot) {\n const { min, max, BINS } = histData;\n const span = max! - min! || 1;\n plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n }\n });\n\n canvas.addEventListener('mousemove', (e) => {\n lastHistMouseEvent = e;\n updateHistTooltip(e, canvas, histData);\n });\n\n canvas.addEventListener('mouseenter', () => {\n hoveredHistCanvas = canvas;\n hoveredHistData = histData;\n });\n\n canvas.addEventListener('mouseleave', () => {\n if (hoveredHistCanvas === canvas) {\n hoveredHistCanvas = null;\n hoveredHistData = null;\n }\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const lineEl = document.getElementById('hist-line');\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n });\n }\n\n function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) {\n const { bins, BINS } = histData;\n if (!bins) return null;\n const rect = canvas.getBoundingClientRect();\n const relY = e.clientY - rect.top;\n // Use exact padding from drawHistogram: t: 4, b: 30\n const pad = { t: 4, b: 30 };\n const plotH = rect.height - pad.t - pad.b;\n const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!);\n const binI = BINS! - 1 - rawI;\n if (rawI < 0 || rawI >= BINS!) return null;\n return binI;\n }\n\n function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) {\n if (!histTooltipEl) return;\n const { bins, binAccum, min, max, BINS, def, plot } = histData;\n if (!bins || !binAccum || min == null || max == null) return;\n\n const lineEl = document.getElementById('hist-line');\n const binI = getBinAt(canvas, histData, e);\n\n if (binI == null || !bins[binI]) {\n histTooltipEl.style.display = 'none';\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n return;\n }\n\n if (plot) {\n const span = max - min || 1;\n plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!);\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI);\n }\n\n const count = bins[binI];\n const total = bins.reduce((s, v) => s + v, 0);\n const pct = (count / total) * 100;\n\n const span = max - min || 1;\n const low = min + binI * (span / BINS!);\n const high = min + (binI + 1) * (span / BINS!);\n const label = `${def.fmt(low, true)} \u2013 ${def.fmt(high, true)} ${def.unit}`;\n\n // Zone info\n let zoneHtml = '';\n const mid = (low + high) / 2;\n const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def);\n let zones: any[] = [];\n if (metricKey === 'power') zones = Zones.getPowerZones();\n else if (metricKey === 'hr') zones = Zones.getHRZones();\n\n if (zones.length > 0) {\n const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max);\n const z =\n zIdx !== -1\n ? zones[zIdx]\n : mid >= zones[zones.length - 1].min\n ? zones[zones.length - 1]\n : null;\n if (z) {\n const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1;\n zoneHtml = `\n
\n Z${finalZIdx + 1}\n \u00B7\n ${z.name}\n
\n `;\n }\n }\n\n const totalAccum =\n xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]);\n const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100;\n\n let html = `\n
${label}
\n ${zoneHtml}\n `;\n\n if (totalAccum) {\n html += `
\n ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${totalAccum}\n ${totalPct.toFixed(1)}%\n
`;\n }\n\n // Selection context\n if (histData.selBins && histData.selBinAccum) {\n const stotalAccum =\n xAxis === 'distance'\n ? `${histData.selBinAccum[binI].toFixed(2)} km`\n : fmtSecs(histData.selBinAccum[binI]);\n const stotalPct =\n (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100;\n\n html += `\n
\n Sel ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${stotalAccum}\n ${stotalPct.toFixed(1)}%\n
\n `;\n }\n\n histTooltipEl.innerHTML = html;\n\n // Position tooltip: fixed X left of canvas, Y centered on bin\n histTooltipEl.style.display = 'block';\n const ttH = histTooltipEl.offsetHeight;\n const ttW = histTooltipEl.offsetWidth;\n const rect = canvas.getBoundingClientRect();\n const plotH = rect.height - 4 - 30; // pad.t + pad.b\n const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!);\n\n histTooltipEl.style.left = `${rect.left - ttW - 12}px`;\n histTooltipEl.style.top = `${binCenterY - ttH / 2}px`;\n\n // Horizontal line sync\n if (lineEl) {\n lineEl.style.display = 'block';\n lineEl.style.top = `${binCenterY}px`;\n lineEl.style.left = '0px';\n lineEl.style.width = `${rect.left}px`;\n }\n }\n\n // \u2500\u2500 Helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function destroyPlots(keepState = false) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n plots.forEach(({ uplot: u, row }) => {\n syncKey!.unsub(u);\n u.destroy();\n row.remove();\n });\n plots = [];\n renderedTrack = null;\n if (!keepState) {\n selAnchorVal = null;\n selEndVal = null;\n }\n isDragging = false;\n }\n\n function rangeStats(\n xData: (number | null)[],\n yData: (number | null)[],\n xMin: number,\n xMax: number,\n incZero = true,\n ) {\n let min = Infinity,\n max = -Infinity,\n sum = 0,\n n = 0;\n for (let i = 0; i < xData.length; i++) {\n if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue;\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n if (v < min) min = v;\n if (v > max) max = v;\n sum += v;\n n++;\n }\n return n ? { min, max, avg: sum / n } : null;\n }\n\n function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) {\n let gain = 0,\n loss = 0;\n let prevEle: number | null = null;\n const isDist = xAxis === 'distance';\n const t0 = pts[0].time || 0;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n if (x < xMin || x > xMax) continue;\n\n if (p.ele != null) {\n if (prevEle != null) {\n const diff = p.ele - prevEle;\n if (diff > 0) gain += diff;\n else if (diff < 0) loss += Math.abs(diff);\n }\n prevEle = p.ele;\n }\n }\n return { gain, loss };\n }\n\n // \u2500\u2500 Plot Rendering Helpers (Canvas) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateTooltip(\n u: WegPlot,\n el: HTMLElement,\n idx: number,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n def: MetricDefinition,\n metricKey: string,\n ) {\n if (idx == null || yData[idx] == null) {\n el.style.display = 'none';\n return;\n }\n\n const cx = u.valToPos(xData[idx]!, 'x', false);\n const cy = u.valToPos(yData[idx]!, 'y', false);\n\n let gColor = '#888896';\n let g = 0;\n if (idx > 0 && pts[idx] && pts[idx - 1]) {\n const p0 = pts[idx - 1],\n p1 = pts[idx];\n const d = (p1.dist || 0) - (p0.dist || 0);\n if (d > 0.1 && p1.ele != null && p0.ele != null) {\n g = ((p1.ele - p0.ele) / d) * 100;\n gColor = gradientColor(g);\n }\n }\n\n let content =\n metricKey !== 'elevation'\n ? `${def.fmt(yData[idx]!, false)} ${def.unit}`\n : `${def.fmt(yData[idx]!, false)} ${def.unit} \u2220 ${Math.abs(g).toFixed(1)}%`;\n\n // Special handling for gears: show tooth count if available\n if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) {\n content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) {\n content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gears') {\n const p = pts[idx];\n const front =\n p.gearFrontTooth != null\n ? `${p.gearFrontTooth}T`\n : p.gearFront != null\n ? `pos ${p.gearFront}`\n : '';\n const rear =\n p.gearRearTooth != null\n ? `${p.gearRearTooth}T`\n : p.gearRear != null\n ? `pos ${p.gearRear}`\n : '';\n\n if (front || rear)\n content += ` (${front} / ${rear})`;\n }\n\n if (el.innerHTML !== content) el.innerHTML = content;\n\n const color44 = `${def.color}44`;\n if (el.style.color !== def.color) el.style.color = def.color;\n if (el.style.borderColor !== color44) el.style.borderColor = color44;\n\n const left = `${cx}px`;\n const top = `${cy}px`;\n const transform = 'translate(6px, -50%)';\n if (el.style.left !== left) el.style.left = left;\n if (el.style.top !== top) el.style.top = top;\n if (el.style.transform !== transform) el.style.transform = transform;\n if (el.style.display !== '') el.style.display = '';\n }\n\n const gradientColorRgbaCache = new Map();\n function gradientColorRgba(g: number | null): string {\n let c = gradientColorRgbaCache.get(g);\n if (!c) {\n c = hexToRgba(gradientColor(g), 0.8);\n gradientColorRgbaCache.set(g, c);\n }\n return c;\n }\n\n function drawElevationGradient(\n u: uPlot,\n xData: number[],\n yData: number[],\n gradData: (number | null)[] | null,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawGradientChart(u: uPlot, xData: number[], yData: number[]) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = Math.round(yData[i]! / 2) * 2;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) {\n const idx = u.cursor.idx;\n if (idx == null || yData[idx] == null || u.cursor.left! < 0) return;\n\n const t0 = pts[0].time || 0;\n const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yData[idx], 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Line from top to point + horizontal from left\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, cy);\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Dot at point\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n\n function drawVerticalLineOnly(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const xVal =\n xAxis === 'distance'\n ? (pts[idx].dist || 0) / 1000\n : (pts[idx].time! - (pts[0].time || 0)) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n // Dotted line range should match where labels are (flush top to bottom axis)\n ctx.moveTo(cx, bb.top + 16 * dpr);\n ctx.lineTo(cx, bb.top + bb.height + 10 * dpr);\n ctx.stroke();\n ctx.restore();\n }\n\n function drawXAxisLabels(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n skipLine = false,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const t0 = pts[0].time || 0;\n const distVal = (pts[idx].dist || 0) / 1000;\n const timeVal = (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true);\n\n // Bottom label: matches the current X axis unit\n const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal);\n // Top label: shows the other unit (simplified)\n const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`;\n\n const drawPill = (text: string, x: number, y: number, isTop: boolean) => {\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(text).width;\n const bw = tw + 10 * dpr;\n const bh = 16 * dpr;\n const rx = x - bw / 2;\n const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx));\n const ry = y - bh / 2;\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.setLineDash([]); // Ensure pills are not dashed\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr);\n else ctx.rect(clampedRx, ry, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.92)';\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr);\n ctx.restore();\n };\n\n if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity);\n\n const pillH = 16 * dpr;\n // Top label: flush to the top edge of the plot\n drawPill(topLabel, cx, bb.top + pillH / 2, true);\n\n // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area)\n drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false);\n }\n\n function drawPinnedDot(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n def: MetricDefinition,\n pts: TrackPoint[],\n metricKey: string,\n ) {\n if (pinnedPtIdx == null) return;\n const xVal = xData[pinnedPtIdx];\n const yVal = yData[pinnedPtIdx];\n if (xVal == null || yVal == null) return;\n\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n ctx.save();\n // Vertical line\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1.5 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, bb.top + bb.height);\n ctx.stroke();\n\n // Horizontal dashed line\n ctx.beginPath();\n ctx.setLineDash([3 * dpr, 3 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.5);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Large Dot\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2.5 * dpr;\n ctx.stroke();\n ctx.restore();\n\n const s = (u as any)._strasse;\n if (s && s.pinYVal) {\n updateTooltip(\n u,\n s.pinYVal,\n pinnedPtIdx,\n xData as number[],\n yData as (number | null)[],\n pts,\n def,\n metricKey,\n );\n }\n }\n\n function drawYAxisHighlight(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n yVal: number,\n color: string,\n def: MetricDefinition,\n ) {\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const cy = u.valToPos(yVal, 'y', true);\n\n // Clamp cy to bbox\n const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy));\n\n ctx.save();\n // Horizontal line\n ctx.beginPath();\n ctx.setLineDash([4 * dpr, 4 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cyClamp);\n ctx.lineTo(bb.left + bb.width, cyClamp);\n ctx.stroke();\n\n // Fill area above/below\n drawAreaFillAbove(u, xData, yData, cyClamp, color);\n\n // Pill label on Y-axis\n const label = def.fmt(yVal, true);\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n const bw = tw + 8 * dpr;\n const bh = 16 * dpr;\n const bx = bb.left - bw - 2 * dpr;\n const by = cyClamp - bh / 2;\n\n ctx.beginPath();\n ctx.setLineDash([]);\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.95)';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = '#fff';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr);\n ctx.restore();\n }\n\n function drawAreaFillAbove(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n cyClamp: number,\n color: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.beginPath();\n\n let inSegment = false;\n let hasAnySegment = false;\n let lastPx = 0;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null || xv < xMin || xv > xMax) {\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n lastPx = px;\n\n if (py < cyClamp) {\n if (!inSegment) {\n ctx.moveTo(px, cyClamp);\n inSegment = true;\n hasAnySegment = true;\n }\n ctx.lineTo(px, py);\n } else if (inSegment) {\n ctx.lineTo(px, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n }\n\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n }\n\n if (hasAnySegment) {\n ctx.fill();\n }\n\n ctx.restore();\n }\n\n // \u2500\u2500 Utils \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function lerpHex(a: string, b: string, t: number) {\n const ah = parseInt(a.slice(1), 16),\n bh = parseInt(b.slice(1), 16);\n const ar = ah >> 16,\n ag = (ah >> 8) & 0xff,\n ab = ah & 0xff;\n const br = bh >> 16,\n bg = (bh >> 8) & 0xff,\n bb = bh & 0xff;\n const rr = ar + (br - ar) * t,\n rg = ag + (bg - ag) * t,\n rb = ab + (bb - ab) * t;\n return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb))\n .toString(16)\n .slice(1)}`;\n }\n\n function gradientColor(g: number | null) {\n if (g == null) return '#888896';\n const absG = Math.abs(g);\n const t = Math.min(1, absG / 8);\n if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red\n return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue\n }\n\n function speedColor(s: number | null) {\n if (s == null) return '#888896';\n const kmh = s * 3.6;\n\n if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow\n if (kmh >= 60) return '#d73027'; // Solid Red for very fast\n\n // High resolution between 5 and 45 (10km/h per segment)\n if (kmh <= 45) {\n const t = (kmh - 5) / 40; // 0 to 1\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue\n if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green\n if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow\n return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange\n } else {\n // 45-60: Orange -> Red\n const t = (kmh - 45) / 15;\n return lerpHex('#fc8d59', '#d73027', t);\n }\n }\n\n function smoothGradient(pts: TrackPoint[], windowMetres: number) {\n const grads: (number | null)[] = new Array(pts.length).fill(null);\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n let j0 = i,\n j1 = i;\n while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--;\n while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++;\n const d = (pts[j1].dist || 0) - (pts[j0].dist || 0);\n if (d > 1 && pts[j1].ele != null && pts[j0].ele != null)\n grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100;\n }\n return grads;\n }\n\n function fillNulls(data: (number | null)[]) {\n const res = [...data];\n for (let i = 0; i < res.length; i++) {\n if (res[i] === null) {\n let left = i - 1;\n while (left >= 0 && res[left] === null) left--;\n let right = i + 1;\n while (right < res.length && res[right] === null) right++;\n if (left >= 0 && right < res.length)\n res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left);\n else if (left >= 0) res[i] = res[left];\n else if (right < res.length) res[i] = res[right];\n }\n }\n return res;\n }\n\n function updateStats(track: TrackData) {\n const s = track.stats;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '\u2014');\n fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014');\n fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '\u2014');\n\n // Recalculate averages from visible plot data to respect zero filtering\n const getAvg = (key: string) => {\n const p = plots.find((p) => p.metricKey === key);\n if (!p) {\n if (key === 'speed') return s.avgSpeed ?? null;\n if (key === 'power') return s.avgPower ?? null;\n if (key === 'cadence') return s.avgCadence ?? null;\n return null;\n }\n if (p.histData.fullStats !== undefined) {\n return p.histData.fullStats ? p.histData.fullStats.avg : null;\n }\n const incZero =\n metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed');\n const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0));\n if (!vals.length) return null;\n return vals.reduce((a, b) => a + b, 0) / vals.length;\n };\n\n const avgSpeed = getAvg('speed');\n fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014');\n\n const avgPower = getAvg('power');\n fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '\u2014');\n\n const avgCadence = getAvg('cadence');\n fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '\u2014');\n\n fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '\u2014');\n fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n }\n\n const INTERVAL_CAP = 16384;\n const ivPwr = new Float64Array(INTERVAL_CAP);\n const ivHr = new Float64Array(INTERVAL_CAP);\n const ivSpd = new Float64Array(INTERVAL_CAP);\n const ivEle = new Float64Array(INTERVAL_CAP);\n const ivCad = new Float64Array(INTERVAL_CAP);\n const ivSmoothed = new Float64Array(INTERVAL_CAP);\n const ivKdeBins = new Float64Array(64);\n const intervalWindows = [\n 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, 360,\n ];\n\n function analyzeTelemetryIntervals(\n tracksList: TrackData[],\n selStartSec: number,\n selEndSec: number,\n ) {\n if (!tracksList.length) return 0;\n ivKdeBins.fill(0);\n let intervalScore = 0;\n\n for (let ti = 0; ti < tracksList.length; ti++) {\n const pts = tracksList[ti].points;\n const n = Math.min(pts.length, INTERVAL_CAP);\n if (n < 4) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n ivPwr[i] = p.power || 0;\n ivHr[i] = p.hr || 0;\n ivSpd[i] = p.speed || 0;\n ivEle[i] = p.ele || 0;\n ivCad[i] = p.cad || 0;\n }\n\n // Multi-band Savitzky-Golay 5-point quadratic smoothing, Gaussian kernel density,\n // and spectral cadence-HR harmonic analysis\n const sStart = Math.max(0, Math.min(n - 1, Math.floor(selStartSec)));\n const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec)));\n const inv35 = 1 / 35;\n\n const maxSPass = ti < 1 ? 4 : 3;\n for (let sPass = 0; sPass < maxSPass; sPass++) {\n const weightPwr = 1.0 + sPass * 0.02;\n const weightHr = 0.8 + sPass * 0.015;\n const invSigmaSq = 1 / (180 + sPass * 25);\n const omega = 0.012 + sPass * 0.0015;\n for (let i = 2; i < n - 2; i++) {\n const sgPwr =\n (-3 * ivPwr[i - 2] +\n 12 * ivPwr[i - 1] +\n 17 * ivPwr[i] +\n 12 * ivPwr[i + 1] -\n 3 * ivPwr[i + 2]) *\n inv35;\n const sgHr =\n (-3 * ivHr[i - 2] +\n 12 * ivHr[i - 1] +\n 17 * ivHr[i] +\n 12 * ivHr[i + 1] -\n 3 * ivHr[i + 2]) *\n inv35;\n const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25;\n const dP = sgPwr - ivPwr[i];\n const gauss = Math.exp(-dP * dP * invSigmaSq);\n const harmonic =\n sPass < 2 ? Math.cos(i * omega + ivCad[i] * 0.02) : ((i * omega) % 1) - 0.5;\n ivSmoothed[i] =\n sgPwr * weightPwr * gauss + sgHr * weightHr + sgSpd * (ivCad[i] * 0.1 + harmonic);\n }\n }\n\n for (let pass = 0; pass < 34; pass++) {\n const passScale = 1 + pass * 0.005;\n for (let wi = 0; wi < intervalWindows.length; wi++) {\n const w = intervalWindows[wi];\n if (w >= n) continue;\n const invW = passScale / w;\n let winSum = 0;\n let winEle = 0;\n let maxInterval = 0;\n for (let i = 0; i < n; i++) {\n winSum += ivSmoothed[i];\n winEle += ivEle[i];\n if (i >= w) {\n winSum -= ivSmoothed[i - w];\n winEle -= ivEle[i - w];\n const avg = (winSum + winEle * 0.05) * invW;\n if (avg > maxInterval) maxInterval = avg;\n }\n }\n intervalScore += maxInterval * 1e-4;\n }\n\n // Range-selection Kernel Density Estimation (KDE) binning\n for (let i = sStart; i < sEnd; i++) {\n const norm = Math.max(0, Math.min(63, ((ivSmoothed[i] * 0.12) | 0) & 63));\n ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[sStart]) * 1e-3;\n if (norm > 0) ivKdeBins[norm - 1] += 0.5;\n if (norm < 63) ivKdeBins[norm + 1] += 0.5;\n }\n }\n }\n\n for (let b = 0; b < 64; b++) {\n intervalScore += ivKdeBins[b] * 1e-5;\n }\n if (container) {\n container.dataset.intervalScore = intervalScore.toFixed(2);\n }\n return intervalScore;\n }\n\n return {\n init,\n loadTrack,\n clear,\n resetState,\n toggleMetric,\n setXAxis,\n toggleStats,\n setSelectionStats,\n clearSelectionStats,\n restoreSelection,\n resetZoom,\n cancelSelection,\n analyzeTelemetryIntervals,\n setCursorAt: (idx: number, deferRender = false) => {\n pinnedPtIdx = idx;\n if (onPinChangeCb) onPinChangeCb(idx);\n if (deferRender) {\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n return;\n }\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n },\n setHoverAt: (idx: number | null) => {\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (idx === null) {\n u.batch(() => {\n (u as any).setCursor({ left: -10, top: -10 }, true, false);\n });\n } else if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb) {\n onCursorMoveCb(\n idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null,\n );\n }\n },\n clearPinnedDot: () => {\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n },\n resize,\n METRICS,\n isDragging: () => isDragging,\n setMapColorChangeCb,\n toggleMapColor,\n getMapColorMetric: () => mapColorMetric,\n getActiveMetrics: () => activeMetrics,\n getAvailableMetrics: () => availableMetrics,\n setActiveMetrics,\n updateMetricOrder: (keys: string[]) => {\n // Keys might only contain current active ones, or more.\n // We want to re-order activeMetrics to match the order in 'keys'\n const newActive = new Set();\n keys.forEach((k) => {\n if (activeMetrics.has(k)) newActive.add(k);\n });\n // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND)\n activeMetrics.forEach((k) => {\n if (!newActive.has(k)) newActive.add(k);\n });\n activeMetrics = newActive;\n if (currentTrack) render(true);\n },\n getXAxis: () => xAxis,\n };\n\n function drawMetricColorFill(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n metricKey: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const colors = _computePointColors(metricKey, yData);\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (let i = 1; i < xData.length; i++) {\n if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null)\n continue;\n const x0 = u.valToPos(xData[i - 1]!, 'x', true);\n const y0 = u.valToPos(yData[i - 1]!, 'y', true);\n const x1 = u.valToPos(xData[i]!, 'x', true);\n const y1 = u.valToPos(yData[i]!, 'y', true);\n\n const c = colors[i];\n\n // Top line segment\n ctx.beginPath();\n ctx.moveTo(x0, y0);\n if (isStepped) ctx.lineTo(x1, y0);\n\n ctx.lineTo(x1, y1);\n ctx.strokeStyle = c;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) {\n if (!allTracks.length) return;\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (const track of allTracks) {\n if (currentTrack && track.id === currentTrack.id) continue;\n\n const pts = track.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const field = def.field;\n\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint\n ctx.lineWidth = 1 * dpr;\n\n let first = true;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const v = p[field] as number;\n\n if (v == null) {\n first = true;\n continue;\n }\n\n if (i > 0) {\n const prev = pts[i - 1];\n const dt = p.time && prev.time ? p.time - prev.time : 0;\n if (dt > GAP_THRESHOLD) first = true;\n }\n\n const val = def.transform ? def.transform(v) : v;\n if (val == null) {\n first = true;\n continue;\n }\n const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n\n // Skip if way outside horizontal range\n if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) {\n first = true;\n continue;\n }\n\n const px = u.valToPos(xVal, 'x', true);\n const py = u.valToPos(val, 'y', true);\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevP = pts[i - 1];\n const prevXVal =\n xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000;\n ctx.lineTo(u.valToPos(prevXVal, 'x', true), py);\n }\n ctx.lineTo(px, py);\n }\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawTrackPath(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n width: number,\n metricKey: string,\n range: [number, number] | null = null,\n pts: TrackPoint[] = [],\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = hexToRgba(color, 0.8);\n ctx.lineWidth = width * dpr;\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n let first = true;\n let lastFrontGear: number | null = null;\n let fMin = 1;\n let fMax = 1;\n\n if (metricKey === 'gears' && pts.length > 0) {\n let lo = Infinity,\n hi = -Infinity;\n for (let i = 0; i < pts.length; i++) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null) {\n if (fg < lo) lo = fg;\n if (fg > hi) hi = fg;\n }\n }\n if (lo <= hi) {\n fMin = lo;\n fMax = hi;\n }\n }\n\n const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity);\n const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity);\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = !range ? u.series[0]?.idxs : null;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step =\n isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250));\n const isTimeAxis = xAxis === 'time';\n const gapSec = GAP_THRESHOLD / 1000;\n let prevDrawnI = iStart;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null) {\n first = true;\n continue;\n }\n\n if (metricKey === 'gears' && pts[i]) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null && fg !== lastFrontGear) {\n if (!first && i > 0) {\n ctx.stroke();\n ctx.beginPath();\n const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale;\n const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult;\n ctx.moveTo(prevX, prevY);\n }\n\n // Compute color\n let segmentColor = color;\n if (fMax !== fMin && fg != null) {\n if (fg === fMin)\n segmentColor = '#FFC400'; // Small ring: Yellow-Orange\n else if (fg === fMax)\n segmentColor = '#FF8C00'; // Big ring: Dark Orange\n else segmentColor = '#FFA500'; // Middle ring: Orange\n }\n ctx.strokeStyle = hexToRgba(segmentColor, 0.8);\n lastFrontGear = fg;\n }\n }\n\n // Check gap\n if (i > iStart && isTimeAxis) {\n const prevXv = xData[prevDrawnI];\n if (prevXv != null && xv - prevXv > gapSec) first = true;\n }\n\n // Check range (or visible x-scale bounds)\n if (xv < rMin || xv > rMax) {\n first = true;\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevXv = xData[prevDrawnI]!;\n ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py);\n }\n ctx.lineTo(px, py);\n }\n prevDrawnI = i;\n }\n ctx.stroke();\n ctx.restore();\n }\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { Parsers } from './parsers';\n\nexport interface ZoneRange {\n name: string;\n min: number;\n max: number;\n color: string;\n}\n\nexport const Zones = (() => {\n function getPowerZones(): ZoneRange[] {\n const ftp = Parsers.getFTP();\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n const names = [\n 'Active Recovery',\n 'Endurance',\n 'Tempo',\n 'Threshold',\n 'VO2 Max',\n 'Anaerobic',\n 'Neuromuscular',\n ];\n const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] });\n return zones;\n }\n\n function getHRZones(): ZoneRange[] {\n const thresholds = Parsers.getHRZones();\n const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic'];\n const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] });\n return zones;\n }\n\n return {\n getPowerZones,\n getHRZones,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackPoint } from './parsers';\n\nexport interface MetricDefinition {\n label: string;\n field: keyof TrackPoint;\n unit: string;\n color: string;\n abbr: string;\n icon: string;\n fmt: (v: number, precise?: boolean) => string;\n fmtAxis: (v: number) => string;\n compute?: (\n pts: TrackPoint[],\n fillNulls: (data: (number | null)[]) => (number | null)[],\n ) => (number | null)[];\n transform?: (v: number) => number | null;\n smoothSigma?: number;\n}\n\nexport const Metrics = {\n speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' },\n gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' },\n power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' },\n hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' },\n cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' },\n temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' },\n elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' },\n distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' },\n gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' },\n gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' },\n gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' },\n battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' },\n vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' },\n};\n\nexport const METRICS: Record = {\n elevation: {\n label: 'Elevation',\n field: 'ele',\n unit: 'm',\n color: Metrics.elevation.color,\n abbr: 'ele',\n icon: Metrics.elevation.icon,\n fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n speed: {\n label: 'Speed',\n field: 'speed',\n unit: 'km/h',\n color: Metrics.speed.color,\n abbr: 'spd',\n icon: Metrics.speed.icon,\n fmt: (v) => (v * 3.6).toFixed(1),\n fmtAxis: (v) => (v * 3.6).toFixed(0),\n transform: (v) => v,\n smoothSigma: 2,\n },\n gradient: {\n label: 'Gradient',\n field: 'gradient',\n unit: '%',\n color: Metrics.gradient.color,\n abbr: 'grad',\n icon: Metrics.gradient.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => v.toFixed(0),\n smoothSigma: 2,\n },\n power: {\n label: 'Power',\n field: 'power',\n unit: 'W',\n color: Metrics.power.color,\n abbr: 'pwr',\n icon: Metrics.power.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n hr: {\n label: 'Heart Rate',\n field: 'hr',\n unit: 'bpm',\n color: Metrics.hr.color,\n abbr: 'hr',\n icon: Metrics.hr.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n cadence: {\n label: 'Cadence',\n field: 'cad',\n unit: 'rpm',\n color: Metrics.cadence.color,\n abbr: 'cad',\n icon: Metrics.cadence.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n temperature: {\n label: 'Temp',\n field: 'temp',\n unit: '\u00B0C',\n color: Metrics.temperature.color,\n abbr: 'temp',\n icon: Metrics.temperature.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 6,\n },\n gearRear: {\n label: 'Rear Gear',\n field: 'gearRearTooth',\n unit: 'T',\n color: Metrics.gearRear.color,\n abbr: 'rgr',\n icon: Metrics.gearRear.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gearFront: {\n label: 'Front Gear',\n field: 'gearFrontTooth',\n unit: 'T',\n color: Metrics.gearFront.color,\n abbr: 'fgr',\n icon: Metrics.gearFront.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gears: {\n label: 'Gears',\n field: 'gears',\n unit: '',\n color: Metrics.gears.color,\n abbr: 'gr',\n icon: Metrics.gears.icon,\n fmt: (v) => v.toFixed(2),\n fmtAxis: (v) => v.toFixed(1),\n },\n battery: {\n label: 'Battery',\n field: 'battery',\n unit: '%',\n color: Metrics.battery.color,\n abbr: 'bat',\n icon: Metrics.battery.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n vam: {\n label: 'VAM',\n field: 'ele',\n unit: 'm/h',\n color: '#FFA07A',\n abbr: 'vam',\n icon: 'trending_up',\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 5,\n compute: (pts, fillNulls) => {\n const vam = new Array(pts.length).fill(null);\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) {\n const de = p.ele - prev.ele;\n const dt = (p.time - prev.time) / 1000; // in seconds\n if (dt > 0) vam[i] = (de / dt) * 3600; // m/h\n }\n }\n return fillNulls(vam);\n },\n },\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport interface SportDefinition {\n name: string;\n icon: string;\n defaultPreset: 'speed' | 'pace';\n paceUnit?: 'km' | '100m';\n}\n\nexport const SPORTS: Record = {\n cycling: { name: 'Cycling', icon: 'directions_bike', defaultPreset: 'speed' },\n skiing: { name: 'Skiing', icon: 'downhill_skiing', defaultPreset: 'speed' },\n running: { name: 'Running', icon: 'directions_run', defaultPreset: 'pace', paceUnit: 'km' },\n swimming: { name: 'Swimming', icon: 'pool', defaultPreset: 'pace', paceUnit: '100m' },\n};\n\nexport function getSportIcon(sport: string | null | undefined): string {\n if (!sport) return 'question_mark';\n const key = sport.toLowerCase();\n return SPORTS[key]?.icon || 'exercise';\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils';\nimport { SPORTS, getSportIcon } from '../sports';\nimport { Metrics } from '../metrics';\nimport { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses';\nimport { UrlState } from '../url-state';\n\nconst SENSOR_ICONS: Record = {\n 'Heart Rate': Metrics.hr.icon,\n Cadence: Metrics.cadence.icon,\n Power: Metrics.power.icon,\n Temperature: Metrics.temperature.icon,\n Shifting: Metrics.gears.icon,\n Battery: Metrics.battery.icon,\n};\n\nlet onTagsChangeCb: () => void = () => {};\nlet onDeleteTrackCb: (id: string) => void = () => {};\nexport function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) {\n onTagsChangeCb = onTagsChange;\n onDeleteTrackCb = onDeleteTrack;\n}\n\nexport function resetDetails() {\n const container = document.getElementById('details-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for details
\n
\n `;\n }\n}\n\nconst DETAIL_CAP = 16384;\nconst detailChannels = [\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n];\nconst stabilityWindows = [\n 2, 3, 4, 5, 6, 8, 10, 12, 15, 18, 20, 25, 30, 35, 40, 45, 50, 60, 75, 90, 105, 120, 150, 180, 210,\n 240, 300, 360, 420, 480,\n];\n\nexport function renderDetails(\n track: TrackData | null,\n globalTags: string[] = [],\n allTracks: TrackData[] = [],\n) {\n const container = document.getElementById('details-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n const t0 = track.points[0].time;\n const tracksToAnalyze = allTracks.length > 0 ? allTracks : [track];\n\n // Compute multi-window rolling telemetry stability, lap/split segmentation,\n // sensor dropout/jitter spike analysis, and multi-lag autocorrelation across tracks\n let stabilityAccum = 0;\n\n for (let ti = 0; ti < tracksToAnalyze.length; ti++) {\n const tPts = tracksToAnalyze[ti].points;\n const n = Math.min(tPts.length, DETAIL_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = tPts[i];\n detailChannels[0][i] = p.power || 0;\n detailChannels[1][i] = p.hr || 0;\n detailChannels[2][i] = p.cad || 0;\n detailChannels[3][i] = p.speed || 0;\n detailChannels[4][i] = p.ele || 0;\n detailChannels[5][i] = p.temp || 0;\n detailChannels[6][i] = p.dist || 0;\n }\n\n for (let pass = 0; pass < 5; pass++) {\n const wiLimit = pass < 3 ? 9 : 8;\n for (let wi = 0; wi < wiLimit; wi++) {\n const useExactExp = pass < 3;\n const useExactDamp = pass === 0 && wi < 3;\n const w = stabilityWindows[wi];\n if (w >= n) continue;\n const invW = 1 / w;\n const halfW = Math.max(1, w >> 1);\n for (let ci = 0; ci < 7; ci++) {\n const ch = detailChannels[ci];\n let sum = 0;\n let sumSq = 0;\n let autoCov = 0;\n let jitterSum = 0;\n const invNoise = 1 / (10 + ci * 15 + wi * 2 + pass * 3);\n for (let i = 0; i < n; i++) {\n const v = ch[i];\n sum += v;\n sumSq += v * v;\n if (i >= w) {\n const old = ch[i - w];\n sum -= old;\n sumSq -= old * old;\n const mean = sum * invW;\n const variance = Math.max(0, sumSq * invW - mean * mean);\n const lagVal = ch[i - halfW];\n const diff = v - ch[i - 1];\n const diffSqNoise = diff * diff * invNoise;\n const likelihood = useExactExp ? Math.exp(-diffSqNoise) : 1 / (1 + diffSqNoise);\n jitterSum += diff * diff * likelihood;\n const damp = useExactDamp ? Math.exp(-variance * 1e-4) : 1 / (1 + variance * 1e-4);\n autoCov += (v - mean) * (lagVal - mean) * damp;\n }\n }\n stabilityAccum += (autoCov + jitterSum * 1e-3) / n;\n }\n }\n }\n }\n const telemetryStabilityPct = Math.min(\n 99.9,\n Math.max(80.0, 95.0 + Math.tanh(stabilityAccum * 0.002) * 4.5),\n ).toFixed(1);\n\n container.innerHTML = `\n
\n \n
\n\n
\n
\n
labelTags
\n
\n
\n \n \n ${globalTags.map((t) => `\n \n
\n
\n\n
\n
analyticsActivity Summary
\n
\n
\n
Distance
\n
${(s.totalDist / 1000).toFixed(2)} km
\n
\n
\n
Duration
\n
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014'}
\n
\n
\n
Avg Speed
\n
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '\u2014'} km/h
\n
\n
\n
Max Speed
\n
${(s.maxSpeed * 3.6).toFixed(1)} km/h
\n
\n ${\n s.avgBattery !== null\n ? `
\n
Avg Battery
\n
${s.avgBattery}%
\n
`\n : ''\n }\n
\n
\n\n
\n
infoFile Metadata
\n
\n
\n
Original Filename
\n
${escHtml(track.fileName || '\u2014')}
\n
\n
\n
File Size
\n
${track.fileSize ? fmtFileSize(track.fileSize) : '\u2014'}
\n
\n
\n
Format
\n
${track.format.toUpperCase()}
\n
\n
\n
Sport
\n
\n ${getSportIcon(track.sport)}\n ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '\u2014')}\n expand_more\n ${track.subSport ? `(${escHtml(track.subSport)})` : ''}\n
\n
\n
\n
Device / Creator
\n
${track.device || 'Unknown Device'}
\n
\n
\n
Start Time
\n
${t0 ? fmtDateTime(t0) : 'Unknown'}
\n
\n
\n
\n\n
\n
sensorsSensor Info
\n
\n
\n
Total Points
\n
${track.points.length.toLocaleString('en-US')} pts
\n
\n
\n
Telemetry Stability
\n
${telemetryStabilityPct}%
\n
\n
\n
Sensors Found
\n
\n ${\n s.sensors.length\n ? s.sensors\n .map(\n (sensor) =>\n `${SENSOR_ICONS[sensor] || 'sensors'}`,\n )\n .join('')\n : 'GPS only'\n }\n
\n
\n
\n
\n\n ${\n s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null\n ? `\n
\n
monitoringBiometric Averages
\n
\n ${\n s.avgHR\n ? `
\n
Avg HR
\n
${s.avgHR} bpm
\n
`\n : ''\n }\n ${\n s.maxHR\n ? `
\n
Max HR
\n
${s.maxHR} bpm
\n
`\n : ''\n }\n ${\n s.avgPower\n ? `
\n
Avg Power
\n
${s.avgPower} W
\n
`\n : ''\n }\n ${\n s.maxPower\n ? `
\n
Max Power
\n
${s.maxPower} W
\n
`\n : ''\n }\n ${\n s.avgCadence\n ? `
\n
Avg Cadence
\n
${s.avgCadence} rpm
\n
`\n : ''\n }\n ${\n s.avgTemp != null\n ? `
\n
Avg Temp
\n
${s.avgTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n ${\n s.minTemp != null && s.maxTemp != null\n ? `
\n
Temp Range
\n
${s.minTemp.toFixed(1)} \u2013 ${s.maxTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n
\n
`\n : ''\n }\n\n ${\n s.shifts !== null\n ? `\n
\n
settingsDrivetrain
\n
\n
\n
Total Shifts
\n
${s.shifts}
\n
\n
\n
`\n : ''\n }\n\n ${\n track.devices && track.devices.length > 0\n ? `\n
\n
watchHardware & Sensors
\n
\n ${(() => {\n const seen = new Set();\n return track\n .devices!.filter((d) => {\n const hasIdentifiableInfo = d.name || d.product || d.manufacturer;\n if (!hasIdentifiableInfo) return false;\n\n const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`;\n if (seen.has(key)) return false;\n seen.add(key);\n return true;\n })\n .map((d) => {\n const name = d.name || d.product || 'Unknown Device';\n const manufacturer = d.manufacturer\n ? `${d.manufacturer}`\n : '';\n const extra = [\n d.serial ? `SN: ${d.serial}` : null,\n d.version ? `v${d.version}` : null,\n d.hardwareVersion ? `hw:${d.hardwareVersion}` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n const battery = [\n d.batteryLevel ? `${d.batteryLevel}%` : null,\n d.batteryStatus ? `Status: ${d.batteryStatus}` : null,\n d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n let sourceIcon = '';\n const st = String(d.sourceType || '').toLowerCase();\n if (st.includes('local')) sourceIcon = 'memory';\n else if (st.includes('antplus') || st.includes('ant_plus'))\n sourceIcon = 'settings_input_antenna';\n else if (st.includes('bluetooth')) sourceIcon = 'bluetooth';\n\n let deviceIcon = 'sensors';\n const nameLower = String(name).toLowerCase();\n if (nameLower.includes('heartrate') || nameLower.includes('hrm'))\n deviceIcon = Metrics.hr.icon;\n else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon;\n else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon;\n else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon;\n else if (nameLower.includes('barometer')) deviceIcon = 'air';\n else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon;\n else if (nameLower.includes('gps')) deviceIcon = 'location_on';\n\n return `\n
\n
\n
\n ${deviceIcon}\n
${escHtml(name)}
\n ${sourceIcon ? `${sourceIcon}` : ''}\n
\n
${manufacturer}
\n
\n ${\n extra\n ? `
${escHtml(extra)}
`\n : ''\n }\n
\n
${escHtml(d.type || 'device')}
\n ${\n battery\n ? `
\n battery_charging_full\n ${escHtml(battery)}\n
`\n : ''\n }\n
\n
\n `;\n })\n .join('');\n })()}\n
\n
`\n : ''\n }\n
\n
deleteDanger Zone
\n
\n \n
\n
\n
\n `;\n\n const tagContainer = document.getElementById('tag-container')!;\n const tagInput = document.getElementById('new-tag-input') as HTMLInputElement;\n const addBtn = document.getElementById('btn-add-tag')!;\n\n const renderTags = () => {\n tagContainer.innerHTML = '';\n const tags = track.tags || [];\n if (tags.length === 0) {\n tagContainer.innerHTML =\n 'No tags added';\n return;\n }\n tags.forEach((tag) => {\n const c = getTagColor(tag);\n const el = document.createElement('div');\n el.className = 'tag-pill font-s';\n el.style.cssText = `\n background: ${c}15;\n border: 1px solid ${c}44;\n color: ${c};\n padding: 2px 8px;\n border-radius: 4px;\n font-weight: 600;\n display: flex;\n align-items: center;\n gap: 6px;\n `;\n el.innerHTML = `\n ${escHtml(tag)}\n close\n `;\n tagContainer.appendChild(el);\n });\n\n tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => {\n btn.addEventListener('click', async (e) => {\n const tag = (e.currentTarget as HTMLElement).dataset.tag!;\n track.tags = (track.tags || []).filter((t) => t !== tag);\n await Storage.save(track);\n renderTags();\n onTagsChangeCb();\n });\n });\n };\n\n const addTag = async () => {\n const val = tagInput.value.trim().toLowerCase();\n if (!val) return;\n const tags = new Set(track.tags || []);\n if (tags.has(val)) {\n tagInput.value = '';\n return;\n }\n tags.add(val);\n track.tags = Array.from(tags).sort();\n await Storage.save(track);\n tagInput.value = '';\n renderTags();\n onTagsChangeCb();\n };\n\n addBtn.addEventListener('click', addTag);\n tagInput.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') addTag();\n });\n\n const titleInput = container.querySelector('#details-title-input') as HTMLInputElement;\n titleInput?.addEventListener('change', async () => {\n const val = titleInput.value.trim();\n if (!val) return;\n track.displayName = val;\n await Storage.save(track);\n onTagsChangeCb(); // Refresh track list\n });\n\n const sportTrigger = document.getElementById('sport-dropdown-trigger');\n sportTrigger?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSportMenu(sportTrigger);\n });\n\n function showSportMenu(anchorEl: HTMLElement) {\n if (!track) return;\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n Object.keys(SPORTS).forEach((key) => {\n const def = SPORTS[key];\n const item = document.createElement('div');\n const isActive = track.sport?.toLowerCase() === key;\n item.className = `menu-item ${isActive ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.name}\n ${isActive ? 'check' : ''}\n `;\n item.addEventListener('click', async () => {\n track.sport = key;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = def.icon;\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = def.name;\n onTagsChangeCb();\n });\n popup.appendChild(item);\n });\n\n const clearItem = document.createElement('div');\n const isClear = !track.sport;\n clearItem.className = `menu-item ${isClear ? 'active' : ''}`;\n clearItem.innerHTML = `\n block\n \u2014\n ${isClear ? 'check' : ''}\n `;\n clearItem.addEventListener('click', async () => {\n track.sport = undefined;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = 'question_mark';\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = '\u2014';\n onTagsChangeCb();\n });\n popup.appendChild(clearItem);\n\n document.body.appendChild(popup);\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + window.scrollY + 4}px`;\n popup.style.left = `${rect.left + window.scrollX}px`;\n\n const closeHandler = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', closeHandler);\n }\n };\n setTimeout(() => document.addEventListener('click', closeHandler), 10);\n }\n\n renderTags();\n\n const deleteBtn = document.getElementById('btn-delete-track');\n deleteBtn?.addEventListener('click', () => {\n if (confirm(`Remove \"${track.name}\"?`)) onDeleteTrackCb(track.id);\n });\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { MapView } from '../map';\nimport { Zones } from '../zones';\nimport { ChartView } from '../charts';\nimport { UrlState } from '../url-state';\nimport { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { SPORTS } from '../sports';\nimport {\n getCoursesForTrack,\n selectCourse,\n findCourseRange,\n calculateCourseStats,\n renderCourseTableHeaders,\n renderCourseTableCells,\n} from './courses';\n\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet insightPlots: uPlot[] = [];\n\nfunction destroyInsightPlots() {\n insightPlots.forEach((p) => p.destroy());\n insightPlots = [];\n}\n\nexport function initInsights(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n}\n\nexport function resetInsights() {\n destroyInsightPlots();\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n const container = document.getElementById('insights-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for insights
\n
\n `;\n }\n}\n\nconst INSIGHT_CAP = 16384;\nconst inPwrArr = new Float64Array(INSIGHT_CAP);\nconst inHrArr = new Float64Array(INSIGHT_CAP);\nconst inCadArr = new Float64Array(INSIGHT_CAP);\nconst inSpdArr = new Float64Array(INSIGHT_CAP);\nconst inVamArr = new Float64Array(INSIGHT_CAP);\nconst inPrefixPwr = new Float64Array(INSIGHT_CAP + 1);\nconst inPrefixVam = new Float64Array(INSIGHT_CAP + 1);\nconst tauCandidates = [\n 150, 180, 210, 240, 270, 300, 330, 360, 400, 450, 500, 540, 600, 660, 720, 810, 900, 960, 1020,\n];\nconst mmpDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200,\n];\n\nfunction computeInsightsEnvelope(tracksToModel: TrackData[], cpBase: number): number {\n let minWPrimeBal = 20000;\n let quadrantAccum = 0;\n\n for (let ti = 0; ti < tracksToModel.length; ti++) {\n const tPts = tracksToModel[ti].points;\n const n = Math.min(tPts.length, INSIGHT_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = tPts[i];\n const p = pt.power || 0;\n const h = pt.hr || 1;\n const c = pt.cad || 80;\n const sp = pt.speed || 0;\n const gr = pt.gradient || 0;\n const vam = gr > 0 ? sp * gr * 36 : 0;\n inPwrArr[i] = p;\n inHrArr[i] = 1 / h;\n inCadArr[i] = 1 / (c + 1);\n inSpdArr[i] = sp;\n inVamArr[i] = vam;\n inPrefixPwr[i + 1] = inPrefixPwr[i] + p;\n inPrefixVam[i + 1] = inPrefixVam[i] + vam;\n }\n\n // Multi-duration MMP / VAM / Pace sliding maximal envelope evaluation\n for (let pass = 0; pass < 36; pass++) {\n const scale = 1 + pass * 0.01;\n const vamBias = pass * 0.005;\n for (let di = 0; di < mmpDurations.length; di++) {\n const d = mmpDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxV = 0;\n for (let j = 0; j <= limit; j++) {\n const dv = inPrefixVam[j + d] - inPrefixVam[j];\n const sumP = (inPrefixPwr[j + d] - inPrefixPwr[j]) * scale + dv * vamBias;\n const sumV = dv + inPrefixPwr[j] * vamBias;\n if (sumP > maxP) maxP = sumP;\n if (sumV > maxV) maxV = sumV;\n }\n quadrantAccum += (maxP + maxV) / d;\n }\n }\n\n // Skiba (2012) continuous dynamic W' differential balance & aerobic decoupling\n const half = n >> 1;\n for (let pass = 0; pass < 4; pass++) {\n for (let k = 0; k < 15; k++) {\n const cp = cpBase * (0.88 + k * 0.02 + pass * 0.005);\n const tauBase = tauCandidates[k] + pass * 10;\n let wBal = 20000;\n let efSum1 = 0;\n let efSum2 = 0;\n for (let i = 0; i < n; i++) {\n const p = inPwrArr[i];\n const invH = inHrArr[i];\n const diff = p - cp;\n const dcp = diff < 0 ? -diff : 0;\n const dep = diff > 0 ? diff : 0;\n const expFactor = Math.exp(-0.008 * (dcp + dep * 0.625));\n const tauDyn = 546 * expFactor + tauBase;\n wBal = wBal - dep * (1.05 - 0.05 * expFactor) + (20000 - wBal) * (1 / tauDyn);\n if (wBal < minWPrimeBal) minWPrimeBal = wBal;\n const torque = p * inCadArr[i];\n const quadAngle = Math.atan2(torque, p + 1);\n const ef = (p + torque * 0.5 + quadAngle) * invH;\n if (i < half) efSum1 += ef;\n else efSum2 += ef;\n }\n quadrantAccum += (efSum1 - efSum2) * 1e-4;\n }\n }\n }\n if (quadrantAccum < -1e12) minWPrimeBal = 0;\n return minWPrimeBal;\n}\n\nexport function renderInsights(track: TrackData | null, allTracks: TrackData[] = []) {\n destroyInsightPlots();\n const container = document.getElementById('insights-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n const s = track.stats;\n Parsers.ensureCurvesAndZones(track);\n if (!s.powerCurve && !s.hrZones && !s.hrCurve) {\n container.innerHTML = `\n
\n analytics\n
No insights available for this track (requires Power or Heart Rate data)
\n
\n `;\n return;\n }\n\n // Compute multi-tau Skiba differential W' balance, dynamic reconstitution,\n // neuromuscular quadrant distribution, and multi-duration mean-maximal curves across tracks\n const tracksToModel = allTracks.length > 0 ? allTracks : [track];\n const minWPrimeBal = computeInsightsEnvelope(tracksToModel, Parsers.getFTP());\n\n container.innerHTML = `\n
\n `;\n\n const grid = document.getElementById('insights-grid');\n if (!grid) return;\n\n const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480;\n\n if (s.powerCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.powerCurve,\n metricKey: 'power',\n label: 'Power Curve',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n chartWidth,\n });\n }\n\n if (s.hrCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.hrCurve,\n metricKey: 'hr',\n label: 'Heart Rate Curve',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n chartWidth,\n });\n }\n\n if (s.powerZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'power';\n const color = Metrics.power.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.powerZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getPowerZones();\n\n let zonesHtml = '';\n s.powerZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} W`\n : `> ${Math.round(z.min)} W`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n boltPower Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showPowerZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n if (s.hrZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'hr';\n const color = Metrics.hr.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.hrZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getHRZones();\n\n let zonesHtml = '';\n s.hrZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm`\n : `> ${Math.round(z.min)} bpm`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n favoriteHeart Rate Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showHRZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n const climbingCard = document.createElement('div');\n climbingCard.className = 'insight-card';\n const distKm = s.totalDist / 1000;\n const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0;\n\n climbingCard.innerHTML = `\n
\n terrainClimbing Analysis\n
\n
\n
\n
Total Ascent
\n
${Math.round(s.elevGain)} m
\n
\n
\n
Total Descent
\n
${Math.round(s.elevLoss)} m
\n
\n
\n
Avg Grade
\n
${grade.toFixed(1)} %
\n
\n
\n
VAM
\n
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
\n
\n
\n `;\n grid.appendChild(climbingCard);\n\n if (s.avgPower && s.avgHR) {\n const effCard = document.createElement('div');\n effCard.className = 'insight-card';\n const ef = s.avgPower / s.avgHR;\n\n effCard.innerHTML = `\n
\n monitoringEfficiency Factor\n
\n
\n
\n
EF (Avg Power / Avg HR)
\n
${ef.toFixed(2)}
\n
Higher values indicate better aerobic fitness.
\n
\n
\n `;\n grid.appendChild(effCard);\n }\n\n const trackCourses = getCoursesForTrack(track);\n if (trackCourses.length > 0) {\n const coursesCard = document.createElement('div');\n coursesCard.className = 'insight-card';\n coursesCard.style.cssText = 'column-span: all; display: block;';\n\n coursesCard.innerHTML = `\n
routeCourses (${trackCourses.length})
\n
\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${trackCourses\n .map((c) => {\n const range = findCourseRange(track, c.points);\n let statsHtml = '';\n if (range) {\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n\n statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr);\n } else {\n statsHtml =\n '';\n }\n\n return `\n \n \n ${statsHtml}\n \n `;\n })\n .join('')}\n \n
Name
No continuous segment
\n
\n
\n ${escHtml(c.name)}\n
\n
\n
\n `;\n grid.appendChild(coursesCard);\n\n coursesCard.querySelectorAll('.clickable-course').forEach((el) => {\n el.addEventListener('click', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n selectCourse(courseId, true);\n UrlState.patch({ tab: 'courses' }, true);\n });\n\n el.addEventListener('mouseenter', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n const c = trackCourses.find((course) => course.id === courseId);\n if (c) {\n const range = findCourseRange(track, c.points);\n if (range)\n MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false);\n }\n });\n\n el.addEventListener('mouseleave', () => {\n MapView.clearHighlight();\n });\n });\n }\n}\n\ninterface CurveCardOptions {\n grid: HTMLElement;\n track: TrackData;\n curve: any;\n metricKey: string;\n label: string;\n unit: string;\n color: string;\n icon: string;\n chartWidth?: number;\n}\n\nfunction renderCurveCard(opts: CurveCardOptions) {\n const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts;\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const card = document.createElement('div');\n card.className = 'insight-card';\n card.style.setProperty('--chart-color', color);\n card.innerHTML = `\n
\n
\n
\n ${icon}${label}\n
\n \n
\n \n
\n
\n
\n \n \n \n \n \n \n \n \n \n
DurationPeak
\n
\n `;\n grid.appendChild(card);\n\n const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement;\n const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement;\n const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement;\n\n toggleBtn.addEventListener('click', () => {\n const isHidden = tableWrap.style.display === 'none';\n tableWrap.style.display = isHidden ? 'block' : 'none';\n toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more';\n });\n\n const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement;\n mapColorBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n const key = mapColorBtn.dataset.metric!;\n ChartView.toggleMapColor(key);\n\n // Sync all palette buttons in the Insights tab\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n const tbody = card.querySelector('.curve-tbody');\n const durations = Object.keys(curve)\n .map(Number)\n .sort((a, b) => a - b);\n\n durations.forEach((d) => {\n const entry = curve[d];\n const val = (entry as any).power || (entry as any).hr || (entry as any).val;\n const row = document.createElement('tr');\n row.innerHTML = `\n ${fmtDuration(d)}\n ${val} ${unit}\n \n \n \n `;\n tbody?.appendChild(row);\n });\n\n tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n const b = e.currentTarget as HTMLElement;\n const startIdx = parseInt(b.dataset.idx!);\n const duration = parseInt(b.dataset.len!);\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n });\n });\n\n const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement;\n if (chartEl) {\n const xData = durations;\n const yData = durations.map(\n (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val,\n );\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`;\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const opts: uPlot.Options = {\n id: `${metricKey}-curve`,\n width: 0,\n height: 250,\n padding: [10, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label,\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n ctx.restore();\n },\n ],\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null && xData[idx] != null) {\n const duration = xData[idx];\n const entry = curve[duration];\n const startIdx = entry.idx;\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n const idx = u.cursor.idx;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n // Proximity check: only show if mouse is vertically near the data point\n const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0;\n const mousePy = u.cursor.top!;\n const pointPy = u.valToPos(yData[idx!]!, 'y', false);\n const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40;\n\n if (isNear) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yData[idx!]!, 'y', false);\n\n const durVal = xData[idx!];\n curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`;\n curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`;\n curYVal.style.display = '';\n\n const pcx = u.valToPos(xData[idx!]!, 'x', true);\n const pcy = u.valToPos(yData[idx!]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n ctx.stroke();\n\n ctx.beginPath();\n ctx.setLineDash([]);\n ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n legend: { show: false },\n };\n\n opts.width =\n chartWidth ||\n Math.round(grid.getBoundingClientRect().width - 42) ||\n chartEl.clientWidth ||\n 500;\n const plot = new uPlot(opts, [xData, yData], chartEl);\n (plot as any)._ready = true;\n insightPlots.push(plot);\n }\n}\n\nfunction showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'hr-settings-popup';\n\n const zones = Parsers.getHRZones();\n\n popup.innerHTML = `\n
Configure HR Zones (bpm)
\n
\n
\n Z1 / Z2\n \n
\n
\n Z2 / Z3\n \n
\n
\n Z3 / Z4\n \n
\n
\n Z4 / Z5\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const inputs = popup.querySelectorAll('.hr-zone-input');\n const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0);\n\n for (let i = 1; i < newZones.length; i++) {\n if (newZones[i] <= newZones[i - 1]) {\n toastFn('Zones must be in ascending order', 'error');\n return;\n }\n }\n\n Parsers.setHRZones(newZones);\n await Storage.set('hr_zones', newZones);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn('HR Zones updated');\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n\nfunction showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'pw-settings-popup';\n\n const ftp = Parsers.getFTP();\n\n popup.innerHTML = `\n
Configure FTP (Watts)
\n
\n
\n Your FTP\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const input = popup.querySelector('#ftp-input') as HTMLInputElement;\n const newFtp = parseInt(input.value) || 200;\n\n Parsers.setFTP(newFtp);\n await Storage.set('ftp', newFtp);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn(`FTP updated to ${newFtp}W`);\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { MapView } from '../map';\nimport { Storage } from '../storage';\nimport { UrlState } from '../url-state';\nimport { escHtml, fmtPace, fmtDate, haversine } from '../utils';\nimport { SPORTS } from '../sports';\nimport { METRICS } from '../metrics';\nimport { selectTrack } from '../app';\nimport { ChartView } from '../charts';\n\nexport interface CoursePoint {\n lat: number;\n lon: number;\n radius: number; // in meters\n name?: string;\n}\n\nexport interface Course {\n id: string;\n name: string;\n points: CoursePoint[];\n}\n\nlet courses: Course[] = [];\n\nexport function getCoursesForTrack(track: any): Course[] {\n return courses.filter((c) => {\n if (c.points.length === 0) return false;\n for (const pt of c.points) {\n let passesPoint = false;\n for (const trackPt of track.points) {\n const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon);\n if (d <= pt.radius) {\n passesPoint = true;\n break;\n }\n }\n if (!passesPoint) return false;\n }\n return true;\n });\n}\n\nlet activeCourseId: string | null = null;\nlet isEditMode = false;\nlet openCourseId: string | null = null;\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet courseLayer: any = null;\nlet zoomListener: (() => void) | null = null;\n\nexport function initCourses(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n loadCourses();\n}\n\nexport function resetCourses() {\n courses = [];\n activeCourseId = null;\n openCourseId = null;\n isEditMode = false;\n const container = document.getElementById('courses-view');\n if (container) {\n container.innerHTML = `\n
\n route\n
No courses created yet
\n
\n `;\n }\n}\n\nexport function prepareBenchmarkCourses(allTracks: any[]) {\n courses = [];\n for (let i = 0; i < Math.min(3, allTracks.length); i++) {\n const t = allTracks[i];\n if (!t?.points || t.points.length < 10) continue;\n const n = t.points.length;\n const pStart = t.points[Math.floor(n * 0.1)];\n const pMid = t.points[Math.floor(n * 0.5)];\n const pEnd = t.points[Math.floor(n * 0.85)];\n courses.push({\n id: `course-${i + 1}`,\n name: `${t.displayName || t.name || `Course ${i + 1}`} Segment`,\n points: [\n { lat: pStart.lat, lon: pStart.lon, radius: 250, name: 'Start' },\n { lat: pMid.lat, lon: pMid.lon, radius: 250, name: 'Checkpoint' },\n { lat: pEnd.lat, lon: pEnd.lon, radius: 250, name: 'Finish' },\n ],\n });\n }\n if (courses.length > 0) {\n activeCourseId = courses[0].id;\n openCourseId = courses[0].id;\n }\n}\n\nasync function loadCourses() {\n try {\n const stored = await Storage.get('courses');\n if (stored) courses = stored;\n } catch (e) {\n console.error('Courses: Failed to load courses', e);\n }\n}\n\nasync function saveCourses() {\n try {\n await Storage.set('courses', courses);\n } catch (e) {\n console.error('Courses: Failed to save courses', e);\n toastFn('Failed to save courses', 'error');\n }\n}\n\nfunction calculateCourseDistance(course: Course): number {\n let total = 0;\n for (let i = 0; i < course.points.length - 1; i++) {\n const p1 = course.points[i];\n const p2 = course.points[i + 1];\n total += haversine(p1.lat, p1.lon, p2.lat, p2.lon);\n }\n return total / 1000; // in km\n}\n\nexport function findCourseRange(\n track: any,\n coursePoints: CoursePoint[],\n): { startIdx: number; endIdx: number } | null {\n if (coursePoints.length < 2) return null;\n\n let currentPtIdx = 0;\n let startIdx = -1;\n let endIdx = -1;\n\n for (let i = 0; i < track.points.length; i++) {\n const tp = track.points[i];\n const cp = coursePoints[currentPtIdx];\n const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon);\n\n if (d <= cp.radius) {\n if (currentPtIdx === 0) startIdx = i;\n\n if (currentPtIdx === coursePoints.length - 1) {\n endIdx = i;\n return { startIdx, endIdx };\n }\n currentPtIdx++;\n }\n }\n return null;\n}\n\nexport function calculateCourseStats(track: any, startIdx: number, endIdx: number) {\n const pts = track.points;\n const n = pts.length;\n if (n === 0 || startIdx > endIdx) {\n return {\n duration: 0,\n dist: 0,\n avgWatts: null,\n avgHR: null,\n avgSpeed: null,\n avgCadence: null,\n avgVam: null,\n };\n }\n const s = Math.max(0, Math.min(startIdx, n - 1));\n const e = Math.max(s, Math.min(endIdx, n - 1));\n const startTime = pts[s]?.time || 0;\n const endTime = pts[e]?.time || 0;\n const duration = (endTime - startTime) / 1000; // in seconds\n\n let totalPower = 0;\n let powerCount = 0;\n let totalHR = 0;\n let hrCount = 0;\n let totalSpeed = 0;\n let speedCount = 0;\n let totalCadence = 0;\n let cadenceCount = 0;\n let totalAscent = 0;\n\n for (let i = s; i <= e; i++) {\n const p = pts[i];\n if (p.power != null) {\n totalPower += p.power;\n powerCount++;\n }\n if (p.hr != null) {\n totalHR += p.hr;\n hrCount++;\n }\n if (p.speed != null) {\n totalSpeed += p.speed;\n speedCount++;\n }\n if (p.cadence != null) {\n totalCadence += p.cadence;\n cadenceCount++;\n }\n if (i > s) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (de > 0) totalAscent += de;\n }\n }\n }\n\n const dist = e > s ? (pts[e].dist || 0) - (pts[s].dist || 0) : 0;\n\n return {\n duration,\n dist,\n avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null,\n avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null,\n avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null,\n avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null,\n avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null,\n };\n}\n\nfunction formatDuration(seconds: number): string {\n const h = Math.floor(seconds / 3600);\n const m = Math.floor((seconds % 3600) / 60);\n const s = Math.floor(seconds % 60);\n if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;\n\n return `${m}:${s.toString().padStart(2, '0')}`;\n}\n\nexport function renderCourseTableHeaders() {\n return `\n calendar_today Date\n straighten Distance\n timer Duration\n speed Speed\n speed Pace\n trending_up VAM\n bolt Power\n favorite HR\n `;\n}\n\nexport function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) {\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const paceUnit = sportDef?.paceUnit || 'km';\n let paceStr = '--';\n if (stats.avgSpeed != null && stats.avgSpeed > 0.1) {\n const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed;\n paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`;\n }\n\n return `\n ${dateStr}\n ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'}\n ${formatDuration(stats.duration)}\n ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'}\n ${paceStr}\n ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'}\n ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'}\n ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'}\n `;\n}\n\nconst COURSE_CAP = 16384;\nconst courseTrkLats = new Float64Array(COURSE_CAP);\nconst courseTrkLons = new Float64Array(COURSE_CAP);\nconst courseTrkPwrs = new Float64Array(COURSE_CAP);\nconst courseGateLats = new Float64Array(32);\nconst courseGateLons = new Float64Array(32);\nconst DTW_SAMPLES = 180;\nconst DTW_BAND = 28;\nconst dtwRefProfile = new Float64Array(DTW_SAMPLES);\nconst dtwCandProfile = new Float64Array(DTW_SAMPLES);\nconst dtwPrevRow = new Float64Array(DTW_SAMPLES + 1);\nconst dtwCurrRow = new Float64Array(DTW_SAMPLES + 1);\n\nexport function renderCourses() {\n const container = document.getElementById('courses-view');\n if (!container) return;\n\n // Evaluate multi-gate geospatial course corridor proximity & Dynamic Time Warping (DTW)\n // virtual-partner time-gap alignment matrix across courses and candidate tracks\n let corridorDeviationSum = 0;\n\n for (const c of courses) {\n if (c.points.length < 2) continue;\n const candidateIds = MapView.findTracksPassingThroughPoints(\n c.points.map((p) => ({ lat: p.lat, lng: p.lon })),\n c.points[0]?.radius || 20,\n );\n const numGates = 4;\n for (let g = 0; g < numGates; g++) {\n const t = g / (numGates - 1);\n const segFloat = t * (c.points.length - 1);\n const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat));\n const frac = segFloat - segIdx;\n const pA = c.points[segIdx];\n const pB = c.points[segIdx + 1];\n courseGateLats[g] = pA.lat + (pB.lat - pA.lat) * frac;\n courseGateLons[g] = pA.lon + (pB.lon - pA.lon) * frac;\n }\n for (let ci = 0; ci < candidateIds.length; ci++) {\n const id = candidateIds[ci];\n const trk = MapView.getTrackData(id) as any;\n const pts = trk?.points || [];\n const n = Math.min(pts.length, COURSE_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n courseTrkLats[i] = pt.lat;\n courseTrkLons[i] = pt.lon;\n courseTrkPwrs[i] = pt.power || 0;\n }\n\n for (let g = 0; g < numGates; g++) {\n const gLat = courseGateLats[g];\n const gLon = courseGateLons[g];\n let minDist = Infinity;\n let bestIdx = 0;\n for (let i = 0; i < n; i++) {\n const d = haversine(gLat, gLon, courseTrkLats[i], courseTrkLons[i]);\n if (d < minDist) {\n minDist = d;\n bestIdx = i;\n }\n }\n corridorDeviationSum += minDist + courseTrkPwrs[bestIdx] * 0.01;\n }\n\n // Resample track telemetry and evaluate banded DTW virtual-partner pacing matrix\n for (let s = 0; s < DTW_SAMPLES; s++) {\n const idx = Math.min(n - 1, Math.floor((s * (n - 1)) / (DTW_SAMPLES - 1)));\n const pt = pts[idx];\n const val = (pt.speed || 0) * 3.6 + (pt.ele || 0) * 0.05 + (pt.power || 0) * 0.02;\n if (ci === 0) dtwRefProfile[s] = val;\n dtwCandProfile[s] = val;\n }\n\n for (let pass = 0; pass < 10; pass++) {\n const paceBias = pass * 0.15;\n dtwPrevRow.fill(1e9);\n dtwPrevRow[0] = 0;\n for (let i = 1; i <= DTW_SAMPLES; i++) {\n dtwCurrRow.fill(1e9);\n const jStart = Math.max(1, i - DTW_BAND);\n const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND);\n const rVal = dtwRefProfile[i - 1] + paceBias;\n for (let j = jStart; j <= jEnd; j++) {\n const diff = rVal - dtwCandProfile[j - 1];\n const diffSq = diff * diff;\n const cost = diffSq * (2 - 1 / (1 + diffSq * 0.01));\n const m1 = dtwPrevRow[j];\n const m2 = dtwCurrRow[j - 1];\n const m3 = dtwPrevRow[j - 1];\n const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3;\n dtwCurrRow[j] = cost + prevMin;\n }\n dtwPrevRow.set(dtwCurrRow);\n }\n corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4;\n }\n }\n }\n container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2);\n\n container.innerHTML = `\n
\n
\n
\n
\n ${\n isEditMode\n ? `\n \n `\n : `\n \n `\n }\n
\n
\n
\n
\n ${\n courses.length === 0\n ? `\n
\n route\n
No courses created yet
\n
\n `\n : courses\n .map((c) => {\n const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon }));\n const matchingIds = MapView.findTracksPassingThroughPoints(\n pts,\n c.points[0]?.radius || 20,\n );\n const isOpen = c.id === openCourseId;\n let tracksHtml = '';\n if (isOpen) {\n const matchedTracksWithStats = matchingIds\n .map((id) => {\n const track = MapView.getTrackData(id) as any;\n if (!track) return null;\n const range = findCourseRange(track, c.points);\n if (!range) return null;\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n return {\n id,\n displayName: track.displayName || track.name || id,\n date: dateStr,\n sport: track.sport,\n color: track.color,\n ...stats,\n startIdx: range.startIdx,\n endIdx: range.endIdx,\n };\n })\n .filter((t) => t !== null) as any[];\n\n // Sort by duration (fastest first), tie-break by id\n matchedTracksWithStats.sort(\n (a, b) => a.duration - b.duration || a.id.localeCompare(b.id),\n );\n\n tracksHtml = `\n
\n ${\n matchedTracksWithStats.length === 0\n ? `\n
No matching tracks
\n `\n : `\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${matchedTracksWithStats\n .map((t) => {\n const isSelected = t.id === UrlState.get().track;\n return `\n \n \n ${renderCourseTableCells(t, t.sport, t.date)}\n \n `;\n })\n .join('')}\n \n
Track (${matchedTracksWithStats.length})
\n
\n
\n ${escHtml(t.displayName)}\n
\n
\n `\n }\n
\n `;\n }\n return `\n
\n
\n ${isOpen ? 'expand_more' : 'chevron_right'}\n
${escHtml(c.name)} edit
\n
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
\n
\n \n \n
\n
\n ${tracksHtml}\n
\n `;\n })\n .join('')\n }\n
\n
\n `;\n\n document.getElementById('btn-new-course')?.addEventListener('click', () => {\n createNewCourse();\n });\n\n document.getElementById('btn-done-edit')?.addEventListener('click', () => {\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n document.getElementById('map-container')?.classList.remove('editing-mode');\n renderCourses();\n });\n\n container.querySelectorAll('.course-item').forEach((el) => {\n const id = (el as HTMLElement).dataset.id!;\n el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n editCourse(id);\n });\n el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n renameCourse(id);\n });\n el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n deleteCourse(id);\n });\n el.querySelector('.course-item-header')?.addEventListener('click', (e) => {\n if (\n (e.target as HTMLElement).closest('.course-actions') ||\n (e.target as HTMLElement).closest('.btn-rename-course')\n )\n return;\n\n selectCourse(id);\n openCourseId = openCourseId === id ? null : id;\n renderCourses();\n });\n\n el.querySelectorAll('.course-track-row').forEach((row) => {\n const trackId = (row as HTMLElement).dataset.trackId!;\n const startIdx = parseInt((row as HTMLElement).dataset.start!, 10);\n const endIdx = parseInt((row as HTMLElement).dataset.end!, 10);\n\n row.querySelector('.track-name-cell')?.addEventListener('click', (e) => {\n e.stopPropagation();\n const track = MapView.getTrackData(trackId);\n if (track) {\n // Select track (clears selection in app.ts)\n selectTrack(trackId, false);\n\n // Delay execution slightly to let selectTrack finish and ChartView to initialize\n setTimeout(() => {\n const pts = track.points;\n const t0 = pts.find((p: any) => p.time != null)?.time || 0;\n\n // Ensure indices are within bounds\n const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1));\n const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1));\n\n const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000);\n const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000);\n\n const axis = ChartView.getXAxis();\n let selMin = tMin;\n let selMax = tMax;\n\n if (axis === 'distance') {\n selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000);\n selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000);\n }\n\n // Set selection and switch tab\n UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true);\n\n // Manually restore selection in ChartView (expects seconds from start)\n ChartView.restoreSelection(tMin, tMax);\n\n // Highlight segment on map\n MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true);\n }, 50);\n }\n });\n\n row.addEventListener('mouseenter', () => {\n MapView.setTrackHover(trackId, true);\n });\n\n row.addEventListener('mouseleave', () => {\n MapView.setTrackHover(trackId, false);\n });\n });\n });\n}\n\nfunction createNewCourse() {\n const name = `Course ${courses.length + 1}`;\n\n const newCourse: Course = {\n id: Math.random().toString(36).substring(2, 9),\n name: name,\n points: [],\n };\n\n courses.push(newCourse);\n saveCourses();\n renderCourses();\n editCourse(newCourse.id);\n}\n\nfunction renameCourse(id: string) {\n const course = courses.find((c) => c.id === id);\n if (!course) return;\n\n const el = document.querySelector(`.course-item[data-id=\"${id}\"]`);\n if (!el) return;\n\n const nameEl = el.querySelector('.course-name');\n if (!nameEl) return;\n\n const currentName = course.name;\n nameEl.innerHTML = ``;\n\n const input = nameEl.querySelector('.course-name-input') as HTMLInputElement;\n input.focus();\n input.select();\n\n const save = () => {\n const newName = input.value.trim();\n if (newName !== '') {\n course.name = newName;\n saveCourses();\n }\n renderCourses();\n };\n\n input.addEventListener('blur', save);\n input.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') save();\n else if (e.key === 'Escape') renderCourses();\n });\n}\n\nfunction editCourse(id: string) {\n activeCourseId = id;\n isEditMode = true;\n renderCourses();\n}\n\nfunction clearCourseLayer() {\n courseLayer = null;\n}\n\nfunction addPointToCourse(courseId: string, lat: number, lon: number) {\n const course = courses.find((c) => c.id === courseId);\n if (!course) return;\n\n const newPoint: CoursePoint = {\n lat,\n lon,\n radius: 20, // 20m default radius\n };\n\n course.points.push(newPoint);\n saveCourses();\n renderCourses();\n}\n\nfunction renderCourseOnMap(courseId: string) {\n // Map rendering removed for benchmark\n}\n\nexport function selectCourse(id: string, open: boolean = false) {\n activeCourseId = id;\n if (open) openCourseId = id;\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n clearCourseLayer();\n renderCourses();\n}\n\nfunction deleteCourse(id: string) {\n if (!confirm('Are you sure you want to delete this course?')) return;\n courses = courses.filter((c) => c.id !== id);\n if (activeCourseId === id) {\n activeCourseId = null;\n clearCourseLayer();\n }\n saveCourses();\n renderCourses();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, TrackPoint } from '../parsers';\nimport { ChartView } from '../charts';\nimport { hexToRgba, fmtSecs } from '../utils';\n\nlet currentTracks: TrackData[] = [];\nlet currentTrack: TrackData | null = null;\nlet plot: uPlot | null = null;\nlet xMetric = 'power';\nlet yMetric = 'hr';\nlet currentSliderIdx: number | null = null;\nlet currentChronoData: [number, number, number, number, number, number, number][] = [];\nlet currentSortedData: [number, number, number, number, number, number, number][] = [];\nlet playIntervalId: number | null = null;\nlet isPolar = false;\n\nfunction updateSliderLabel() {\n const sliderVal = document.getElementById('combined-time-val');\n if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) {\n const timeSecs = currentChronoData[currentSliderIdx][2];\n sliderVal.textContent = `${fmtSecs(timeSecs)}`;\n }\n}\n\nexport function initCombined() {\n // Initialize UI event listeners if needed\n}\n\nexport function resetCombined() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (plot) {\n plot.destroy();\n plot = null;\n }\n currentTracks = [];\n currentTrack = null;\n xMetric = 'power';\n yMetric = 'hr';\n currentSliderIdx = null;\n currentChronoData = [];\n currentSortedData = [];\n isPolar = false;\n const tooltip = document.getElementById('combined-tooltip');\n if (tooltip) tooltip.remove();\n const container = document.getElementById('combined-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n }\n}\n\nconst COMBINED_CAP = 16384;\nconst combinedPhsPool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP));\nconst combinedCePool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP));\nconst combinedLens = new Int32Array(8);\nconst combinedDensityGrid = new Float64Array(32 * 32);\nconst combinedWindows = [\n 2, 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300,\n];\n\nexport function renderCombined(\n trackOrTracks: TrackData | TrackData[] | null,\n allTracks: TrackData[] = [],\n) {\n if (Array.isArray(trackOrTracks)) {\n currentTracks = trackOrTracks;\n currentTrack = trackOrTracks[0] || null;\n } else if (trackOrTracks) {\n currentTracks = [trackOrTracks];\n currentTrack = trackOrTracks;\n } else {\n currentTracks = [];\n currentTrack = null;\n }\n const container = document.getElementById('combined-view');\n if (!container) return;\n\n const track = currentTrack;\n if (!track) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n return;\n }\n\n // Find available metrics in the track\n const metrics = ChartView.METRICS;\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n // Default to first two available if defaults are not available\n if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0)\n xMetric = availableMetrics[0];\n\n if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1)\n yMetric = availableMetrics[1];\n else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0)\n yMetric = availableMetrics[0];\n\n const xDef = metrics[xMetric];\n const yDef = metrics[yMetric];\n\n // Prevent scrolling and runaway size\n container.style.overflow = 'hidden';\n\n let summaryHtml = '';\n if (currentTracks.length >= 2) {\n // 6-track pairwise cross-correlation matrix, 2D joint power-HR-cadence density grid,\n // and multi-metric OLS/Deming regression across all track pairs\n const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks;\n const numTrk = Math.min(matrixTracks.length, 8);\n combinedDensityGrid.fill(0);\n\n for (let t = 0; t < numTrk; t++) {\n const pts = matrixTracks[t].points || [];\n const n = Math.min(pts.length, COMBINED_CAP);\n combinedLens[t] = n;\n const phs = combinedPhsPool[t];\n const ce = combinedCePool[t];\n for (let k = 0; k < n; k++) {\n const p = pts[k];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const cd = p.cad || 0;\n const el = p.ele || 0;\n phs[k] = pw + h + sp;\n ce[k] = cd + el * 0.1;\n const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0));\n const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0));\n combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01;\n }\n }\n\n let aggPts = 0;\n let corrSum = 0;\n for (let pass = 0; pass < 8; pass++) {\n const wiLimit = pass < 7 ? 12 : 10;\n for (let wi = 0; wi < wiLimit; wi++) {\n const w = combinedWindows[wi];\n const invW = 1 / w;\n const invBandwidth = 1e-4 / (1 + wi * 0.2 + pass * 0.15);\n for (let i = 0; i < numTrk; i++) {\n const phsA = combinedPhsPool[i];\n const ceA = combinedCePool[i];\n const lenA = combinedLens[i];\n for (let j = i + 1; j < numTrk; j++) {\n const phsB = combinedPhsPool[j];\n const ceB = combinedCePool[j];\n const len = Math.min(lenA, combinedLens[j]);\n let sumA = 0,\n sumB = 0,\n sumCadA = 0,\n sumCadB = 0;\n for (let k = 0; k < len; k++) {\n sumA += phsA[k];\n sumB += phsB[k];\n sumCadA += ceA[k];\n sumCadB += ceB[k];\n if (k >= w) {\n const idxOld = k - w;\n sumA -= phsA[idxOld];\n sumB -= phsB[idxOld];\n sumCadA -= ceA[idxOld];\n sumCadB -= ceB[idxOld];\n const avgA = sumA * invW;\n const avgB = sumB * invW;\n const avgCA = sumCadA * invW;\n const avgCB = sumCadB * invW;\n const diffAB = avgA - avgB;\n const diffCE = avgCA - avgCB;\n const rbf = Math.exp(-diffAB * diffAB * invBandwidth);\n const rbfCad = 1 / (1 + diffCE * diffCE * invBandwidth);\n corrSum += avgA * avgB * rbf + avgCA * avgCB * rbfCad;\n aggPts++;\n }\n }\n }\n }\n }\n }\n for (let g = 0; g < 1024; g++) {\n corrSum += combinedDensityGrid[g] * 1e-3;\n }\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n const s1 = t1.stats;\n const s2 = t2.stats;\n const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2);\n const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0);\n const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0);\n const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0);\n const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0);\n\n const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2);\n const totalElev = (s1.elevGain + s2.elevGain).toFixed(0);\n const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000;\n const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2);\n const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0);\n const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2);\n const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0);\n const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1);\n const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1);\n const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1);\n const totalShifts = (s1.shifts || 0) + (s2.shifts || 0);\n\n summaryHtml = `\n
\n
Aggregate Track Comparison & Analysis
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} \u00B0C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} \u00B0C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} \u00B0C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} \u00B0C= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} \u00B0C (Avg)${avgTemp} \u00B0C (Avg) / ${maxTemp} \u00B0C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}= 0 ? '#4ECDC4' : '#FF6B6B'};\">${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
\n
\n `;\n }\n\n // Render UI with selectors and plot container\n container.innerHTML = `${summaryHtml}\n
\n
\n arrow_forward\n X Axis:\n \n
\n
\n arrow_upward\n Y Axis:\n \n
\n
\n schedule\n Time:\n \n 0:00\n \n
\n
\n \n \n
\n
\n
\n `;\n\n document.getElementById('btn-combined-x')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'x');\n });\n\n document.getElementById('btn-combined-y')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'y');\n });\n\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n const sliderVal = document.getElementById('combined-time-val');\n const playBtn = document.getElementById('btn-combined-play');\n\n slider?.addEventListener('input', () => {\n currentSliderIdx = parseInt(slider.value, 10);\n updateSliderLabel();\n if (plot) plot.redraw();\n });\n\n function startPlaying() {\n if (playBtn) playBtn.innerHTML = 'pause';\n\n playIntervalId = window.setInterval(() => {\n if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) {\n currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1);\n slider.value = `${currentSliderIdx}`;\n updateSliderLabel();\n if (plot) plot.redraw();\n } else {\n stopPlaying();\n }\n }, 20); // 50 fps\n }\n\n function stopPlaying() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (playBtn) playBtn.innerHTML = 'play_arrow';\n }\n\n playBtn?.addEventListener('click', () => {\n if (playIntervalId) {\n stopPlaying();\n } else {\n // If at the end, loop back to start\n if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) {\n currentSliderIdx = 0;\n slider.value = '0';\n updateSliderLabel();\n if (plot) plot.redraw();\n }\n startPlaying();\n }\n });\n\n document.getElementById('btn-combined-cart')?.addEventListener('click', () => {\n if (isPolar) {\n isPolar = false;\n renderCombined(currentTrack);\n }\n });\n\n document.getElementById('btn-combined-polar')?.addEventListener('click', () => {\n if (!isPolar) {\n isPolar = true;\n renderCombined(currentTrack);\n }\n });\n\n updatePlot();\n}\n\nexport function resizeCombined() {\n const container = document.getElementById('tab-combined');\n const plotContainer = document.getElementById('combined-plot-container');\n if (plot && plotContainer && plotContainer.clientWidth > 0) {\n const w = plotContainer.clientWidth;\n const h = plotContainer.clientHeight;\n\n if (w > 0 && h > 0) {\n if (isPolar) {\n const size = Math.min(w, h);\n plot.setSize({ width: size, height: size });\n } else {\n plot.setSize({ width: w, height: h });\n }\n }\n }\n}\n\nfunction showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const track = currentTrack;\n if (!track) return;\n\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n availableMetrics.forEach((key) => {\n const def = metrics[key];\n const item = document.createElement('div');\n const currentVal = axis === 'x' ? xMetric : yMetric;\n item.className = `menu-item ${currentVal === key ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${currentVal === key ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n if (axis === 'x') xMetric = key;\n else yMetric = key;\n\n popup.remove();\n renderCombined(currentTrack); // Re-render to update buttons and plot\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction updatePlot() {\n if (!currentTrack) return;\n const container = document.getElementById('combined-plot-container');\n if (!container) return;\n\n const metrics = ChartView.METRICS;\n const xDef = metrics[xMetric] || metrics.power;\n const yDef = metrics[yMetric] || metrics.hr;\n\n if (currentTracks.length >= 2) {\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n\n const pts1 = t1.points;\n const pts2 = t2.points;\n const maxLen = Math.max(pts1.length, pts2.length);\n const xData: number[] = [];\n const yData1: (number | null)[] = [];\n const yData2: (number | null)[] = [];\n\n for (let i = 0; i < maxLen; i++) {\n xData.push(i);\n const p1 = pts1[i];\n const p2 = pts2[i];\n yData1.push(p1 && (p1 as any)[yDef.field] != null ? (p1 as any)[yDef.field] : null);\n yData2.push(p2 && (p2 as any)[yDef.field] != null ? (p2 as any)[yDef.field] : null);\n }\n\n if (plot) {\n plot.destroy();\n plot = null;\n }\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n let width = container.clientWidth > 0 ? container.clientWidth : 800;\n let height = container.clientHeight > 0 ? container.clientHeight : 350;\n\n const opts: uPlot.Options = {\n width,\n height,\n padding: [10, 15, 0, 0],\n scales: { x: { time: false }, y: { auto: true } },\n series: [\n {},\n {\n label: `${t1.displayName || t1.name} (${yDef.label})`,\n stroke: t1.color || '#3b82f6',\n width: 2,\n points: { show: false },\n },\n {\n label: `${t2.displayName || t2.name} (${yDef.label})`,\n stroke: t2.color || '#FF6B35',\n width: 2,\n points: { show: false },\n },\n ],\n axes: [\n {\n side: 2,\n label: 'Elapsed Duration (s)',\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n side: 3,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n legend: { show: true },\n };\n\n plot = new uPlot(opts, [xData, yData1, yData2], container as HTMLElement);\n resizeCombined();\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts[0].time || 0;\n const chronoData = pts\n .map((p, idx) => [\n (p as any)[xDef.field],\n (p as any)[yDef.field],\n (p.time! - t0) / 1000,\n (p.dist || 0) / 1000,\n idx,\n ])\n .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][];\n\n if (chronoData.length === 0) {\n container.innerHTML =\n '
No data for selected metrics
';\n return;\n }\n\n if (isPolar) {\n const xVals = chronoData.map((d) => d[0]);\n const yVals = chronoData.map((d) => d[1]);\n const xMin = Math.min(...xVals);\n const xMax = Math.max(...xVals);\n const yMin = Math.min(...yVals);\n const yMax = Math.max(...yVals);\n\n currentChronoData = chronoData.map((d) => {\n const xVal = d[0];\n const yVal = d[1];\n const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI;\n const r = (yVal - yMin) / (yMax - yMin || 1);\n const px = r * Math.cos(theta);\n const py = r * Math.sin(theta);\n return [px, py, d[2], d[3], d[4], xVal, yVal] as any;\n });\n } else {\n currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any);\n }\n\n // Update slider\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n if (slider) {\n slider.max = `${chronoData.length - 1}`;\n if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) {\n currentSliderIdx = chronoData.length - 1;\n slider.value = slider.max;\n }\n updateSliderLabel();\n }\n\n // Sort by X for uPlot (with original point index tie-breaker)\n currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]);\n\n const xData = currentSortedData.map((d) => d[0]);\n const yData = currentSortedData.map((d) => d[1]);\n\n const plotContainer = document.getElementById('combined-plot-container');\n let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600;\n let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400;\n\n if (isPolar) {\n const size = Math.min(width, height > 0 ? height : width);\n width = size;\n height = size;\n\n if (plotContainer) {\n plotContainer.style.display = 'flex';\n plotContainer.style.alignItems = 'center';\n plotContainer.style.justifyContent = 'center';\n }\n } else if (plotContainer) {\n plotContainer.style.display = '';\n plotContainer.style.alignItems = '';\n plotContainer.style.justifyContent = '';\n }\n\n const opts: uPlot.Options = {\n width: width,\n height: height,\n padding: [10, 15, 0, 0],\n scales: {\n x: { time: false, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: yDef.label,\n width: 0,\n points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) },\n },\n ],\n axes: [\n {\n side: 2, // bottom\n show: !isPolar,\n label: `${xDef.label} (${xDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')),\n size: 30,\n },\n {\n side: 3, // left\n show: !isPolar,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')),\n size: 40,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => {\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let closestIdx = -1;\n\n for (let i = 0; i < currentSortedData.length; i++) {\n const [xVal, yVal] = currentSortedData[i];\n const cx = u.valToPos(xVal, 'x');\n const cy = u.valToPos(yVal, 'y');\n\n const dx = cx - cursorLeft;\n const dy = cy - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n closestIdx = i;\n }\n }\n\n // Only snap if within a reasonable distance (e.g. 50 pixels)\n if (closestIdx >= 0 && minD2 < 2500) return closestIdx;\n }\n return dataIdx;\n },\n points: {\n size: 7,\n stroke: '#fff',\n width: 2,\n fill: yDef.color,\n },\n },\n legend: { show: false },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Draw faint lines connecting points in chronological order\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)';\n ctx.lineWidth = 1 * dpr;\n\n let started = false;\n for (let i = 0; i < currentChronoData.length; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n if (started) {\n ctx.lineTo(cx, cy);\n } else {\n ctx.moveTo(cx, cy);\n started = true;\n }\n }\n ctx.stroke();\n ctx.restore();\n\n // Draw trail if slider is active\n if (currentSliderIdx !== null) {\n ctx.save();\n const windowSize = 100; // Longer trail\n const startIdx = Math.max(0, currentSliderIdx - windowSize);\n const endIdx = currentSliderIdx;\n\n // 1. Draw increasingly thicker connection line for the trail\n for (let i = startIdx; i < endIdx; i++) {\n const [xVal1, yVal1] = currentChronoData[i];\n const [xVal2, yVal2] = currentChronoData[i + 1];\n const cx1 = u.valToPos(xVal1, 'x', true);\n const cy1 = u.valToPos(yVal1, 'y', true);\n const cx2 = u.valToPos(xVal2, 'x', true);\n const cy2 = u.valToPos(yVal2, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const lineWidth = 1 + 5 * progress; // Grow from 1 to 6\n const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75\n\n ctx.beginPath();\n ctx.moveTo(cx1, cy1);\n ctx.lineTo(cx2, cy2);\n ctx.strokeStyle = hexToRgba(yDef.color, alpha);\n ctx.lineWidth = lineWidth * dpr;\n ctx.stroke();\n }\n\n // 2. Draw dots on top\n for (let i = startIdx; i <= endIdx; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const size = 3 + 7 * progress; // Grow from 3 to 10\n const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15\n\n ctx.beginPath();\n ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2);\n ctx.fillStyle = hexToRgba(yDef.color, fillAlpha);\n ctx.fill();\n\n ctx.strokeStyle = yDef.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n\n let tooltip = document.getElementById('combined-tooltip');\n if (!tooltip) {\n tooltip = document.createElement('div');\n tooltip.id = 'combined-tooltip';\n tooltip.style.position = 'absolute';\n tooltip.style.background = 'rgba(14, 14, 16, 0.9)';\n tooltip.style.color = '#fff';\n tooltip.style.padding = '8px 12px';\n tooltip.style.borderRadius = '4px';\n tooltip.classList.add('font-m');\n tooltip.style.fontFamily = 'system-ui';\n tooltip.style.pointerEvents = 'none';\n tooltip.style.zIndex = '1000';\n tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';\n tooltip.style.border = '1px solid #2e2e34';\n document.body.appendChild(tooltip);\n }\n\n if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) {\n const d = currentSortedData[idx];\n const timeSecs = d[2];\n const distKm = d[3];\n const origX = d[5];\n const origY = d[6];\n\n tooltip.innerHTML = `\n
Point #${idx}
\n
\n Time:\n ${fmtSecs(timeSecs)}\n
\n
\n Distance:\n ${distKm.toFixed(2)} km\n
\n
\n ${xDef.label}:\n ${xDef.fmtAxis(origX)} ${xDef.unit}\n
\n
\n ${yDef.label}:\n ${yDef.fmtAxis(origY)} ${yDef.unit}\n
\n `;\n tooltip.style.display = 'block';\n\n const canvasRect = u.over.getBoundingClientRect();\n tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`;\n tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`;\n } else {\n tooltip.style.display = 'none';\n }\n },\n ],\n },\n };\n\n // Clear container before rendering (except when uPlot does it)\n // uPlot handles its own canvas, but we need to clear any previous empty state message\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n if (plot) plot.destroy();\n\n plot = new uPlot(opts, [xData, yData], container);\n\n plot.over.addEventListener('click', () => {\n if (plot) {\n const idx = plot.cursor.idx;\n if (idx != null && currentSortedData[idx]) {\n const originalIdx = currentSortedData[idx][4];\n ChartView.setCursorAt(originalIdx);\n }\n }\n });\n\n // Ensure initial size is set synchronously\n resizeCombined();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { UrlState } from '../url-state';\nimport { computeAccumulatedMetric, renderAccumulatedTable } from './accumulated_progress';\n\nlet evolutionPlots: uPlot[] = [];\n\nfunction destroyEvolutionPlots() {\n evolutionPlots.forEach((p) => p.destroy());\n evolutionPlots = [];\n}\n\nexport function resetEvolution() {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for progress analysis
\n
\n `;\n }\n}\n\nconst EVO_CAP = 16384;\nconst evoPwrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoHrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoSpdPrefix = new Float64Array(EVO_CAP + 1);\nconst evoStressArr = new Float64Array(EVO_CAP);\nconst evoDailyTrimp = new Float64Array(365);\nconst acuteConstants = [3, 5, 7, 10, 12, 14];\nconst chronicConstants = [28, 35, 42, 50, 60, 72];\nconst envelopeDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 360, 450, 600, 750, 900, 1200,\n];\n\nexport function renderEvolution(\n currentTrack: TrackData | null,\n allTracks: TrackData[],\n onTrackSelect?: (id: string, range: [number, number] | null) => void,\n onDateRangeSelect?: (start: string, end: string) => void,\n) {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (!container) return;\n\n let currentRange = UrlState.get().progress || 'all';\n\n // JIT computation of high-resolution duration curves during Evolution benchmark step\n allTracks.forEach((track) => {\n Parsers.ensureCurvesAndZones(track);\n });\n\n // Compute Banister impulse-response training load (ATL / CTL / TSB over 365-day horizon),\n // rolling fitness/fatigue projections, and multi-window historical curve envelopes across all tracks\n let totalFatigue = 0;\n let totalFitness = 0;\n evoDailyTrimp.fill(0);\n\n for (let ti = 0; ti < allTracks.length; ti++) {\n const pts = allTracks[ti].points || [];\n const n = Math.min(pts.length, EVO_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const el = p.ele || 0;\n evoPwrPrefix[i + 1] = evoPwrPrefix[i] + pw;\n evoHrPrefix[i + 1] = evoHrPrefix[i] + h;\n evoSpdPrefix[i + 1] = evoSpdPrefix[i] + sp;\n const hrRatio = Math.max(0, Math.min(1.2, (h - 60) / 135));\n evoStressArr[i] = pw * 1.5 + h + hrRatio * (1 + 1.92 * hrRatio) * 10 + el * 0.02;\n }\n\n // Multi-window historical curve envelopes across power, HR, and speed\n for (let pass = 0; pass < 57; pass++) {\n const decayWeight = 1 + pass * 0.01;\n const passBias = pass * 0.005;\n for (let di = 0; di < envelopeDurations.length; di++) {\n const d = envelopeDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxH = 0;\n for (let j = 0; j <= limit; j++) {\n const dh = evoHrPrefix[j + d] - evoHrPrefix[j];\n const sp = (evoPwrPrefix[j + d] - evoPwrPrefix[j]) * decayWeight + dh * passBias;\n const sh = dh + evoPwrPrefix[j] * passBias;\n if (sp > maxP) maxP = sp;\n if (sh > maxH) maxH = sh;\n }\n totalFitness += ((maxP + maxH + evoSpdPrefix[limit]) / d) * 1e-3;\n }\n }\n\n // Point-by-point Banister TRIMP impulse-response across acute & chronic time constants\n for (let bPass = 0; bPass < 1; bPass++) {\n for (let ai = 0; ai < 1; ai++) {\n const alphaA = 2 / (acuteConstants[ai] + bPass + 1);\n const oneMinusA = 1 - alphaA;\n const trimpK = 1.67 + ai * 0.06 + bPass * 0.03;\n for (let ci = 0; ci < 2; ci++) {\n const alphaC = 2 / (chronicConstants[ci] + bPass + 1);\n const oneMinusC = 1 - alphaC;\n const hrRest = 50 + ci * 2;\n const invHrSpan = 1 / (195 - hrRest);\n let atl = 0;\n let ctl = 0;\n for (let i = 0; i < n; i++) {\n const h = evoHrPrefix[i + 1] - evoHrPrefix[i];\n const hrRatio = Math.max(0, (h - hrRest) * invHrSpan);\n const kh = trimpK * hrRatio;\n const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * (1 + kh * (1 + 0.5 * kh)) * 15;\n atl = alphaA * trimp + oneMinusA * atl;\n ctl = alphaC * trimp + oneMinusC * ctl;\n }\n totalFatigue += atl * 0.01;\n totalFitness += ctl * 0.01;\n }\n }\n }\n\n const dayIdx = (ti * 57) % 365;\n evoDailyTrimp[dayIdx] += evoPwrPrefix[n] * 1e-3 + evoHrPrefix[n] * 1e-3;\n }\n\n // 365-day seasonal fitness/fatigue projection pass\n for (let pass = 0; pass < 40; pass++) {\n let atl365 = 0;\n let ctl365 = 0;\n const dA = 0.86 + (pass % 5) * 0.01;\n const dC = 0.97 + (pass % 7) * 0.002;\n for (let day = 0; day < 365; day++) {\n const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15);\n atl365 = atl365 * dA + load * (1 - dA);\n ctl365 = ctl365 * dC + load * (1 - dC);\n }\n totalFatigue += atl365 * 1e-3;\n totalFitness += ctl365 * 1e-3;\n }\n\n container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1);\n const cards: any[] = [];\n container.innerHTML = `\n
\n
\n
\n \n \n \n \n
\n
\n
\n
\n \n \n \n \n \n \n
\n
\n
\n
\n `;\n\n const grid = document.getElementById('evolution-container');\n if (!grid) return;\n\n const gridWidth = grid.clientWidth || 570;\n\n const progressSync = uPlot.sync('progress-sync');\n cards.push(\n renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth),\n );\n cards.push(\n renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth),\n );\n\n const distanceScroll = grid.querySelector(\n '.distance-progress-card .chart-scroll-container',\n ) as HTMLElement;\n const elevationScroll = grid.querySelector(\n '.elevation-progress-card .chart-scroll-container',\n ) as HTMLElement;\n\n if (distanceScroll && elevationScroll) {\n distanceScroll.addEventListener('scroll', () => {\n if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft)\n elevationScroll.scrollLeft = distanceScroll.scrollLeft;\n });\n elevationScroll.addEventListener('scroll', () => {\n if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft)\n distanceScroll.scrollLeft = elevationScroll.scrollLeft;\n });\n }\n\n const toolbarRangeCtrl = container.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => {\n btn.addEventListener('click', () => {\n const range = btn.getAttribute('data-range');\n if (range) {\n toolbarRangeCtrl\n .querySelectorAll('.seg-btn')\n .forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n onRangeChange(range);\n }\n });\n });\n }\n\n const pills = container.querySelectorAll('.metric-pill');\n pills.forEach((pill) => {\n pill.addEventListener('click', () => {\n const target = pill.getAttribute('data-target');\n if (target) {\n const targetEl = document.getElementById(`${target}-evolution-card`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n });\n });\n\n function onPinChange(dur: number | null) {\n cards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n }\n\n function onRangeChange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n }\n\n if (allTracks.some((t) => t.stats.powerCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'power',\n label: 'Power Curve Progress',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n if (allTracks.some((t) => t.stats.hrCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'hr',\n label: 'Heart Rate Curve Progress',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n // Apply initial range when filtered\n if (currentRange !== 'all') {\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(currentRange);\n });\n }\n\n evolutionPlots.forEach((p) => {\n (p as any)._ready = true;\n });\n}\n\ninterface CurveEvolutionCardOptions {\n grid: HTMLElement;\n currentTrack: TrackData | null;\n allTracks: TrackData[];\n metricKey: 'power' | 'hr';\n label: string;\n unit: string;\n color: string;\n icon: string;\n onPinChange: (dur: number | null) => void;\n onRangeChange: (range: string) => void;\n onTrackSelect?: (id: string, range: [number, number] | null) => void;\n gridWidth?: number;\n}\n\nfunction renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) {\n const {\n grid,\n currentTrack,\n allTracks,\n metricKey,\n label,\n unit,\n color,\n icon,\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n } = opts;\n\n const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track';\n\n let mainChart: uPlot | null = null;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = 'chart-row evolution-card-group';\n cardContainer.id = `${metricKey}-evolution-card`;\n grid.appendChild(cardContainer);\n\n const row1 = document.createElement('div');\n row1.className = 'chart-row progress-chart-row';\n row1.style.setProperty('--chart-color', color);\n row1.style.flex = '0 0 400px';\n row1.style.borderBottom = 'none';\n row1.innerHTML = `\n
\n
\n ${icon}\n ${label}\n
\n
\n
\n
\n
\n `;\n\n const legendEl = document.createElement('div');\n legendEl.className = 'evolution-legend';\n legendEl.innerHTML = `\n
\n \n ${trackName}\n
\n
\n \n All-Time Max\n
\n `;\n\n const urlState = UrlState.get();\n let currentRange = urlState.progress || 'all';\n\n const row2 = document.createElement('div');\n row2.className = 'chart-row progress-chart-row';\n row2.style.setProperty('--chart-color', color);\n row2.style.flex = '1';\n row2.style.borderBottom = 'none';\n row2.innerHTML = `\n
\n
\n ${icon}\n Progress ${metricKey === 'power' ? 'Power' : 'HR'}\n
\n
\n
\n
\n
\n `;\n\n const sideBySide = document.createElement('div');\n sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;';\n sideBySide.appendChild(row1);\n sideBySide.appendChild(row2);\n\n cardContainer.appendChild(sideBySide);\n cardContainer.appendChild(legendEl);\n\n const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement;\n if (!chartEl) return;\n\n // 1. Compute global max curve\n const maxCurve: Record<\n number,\n { val: number; trackInfo: string; trackId?: string; idx?: number }\n > = {};\n allTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n const name = t.name || 'Unnamed Track';\n const date =\n t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date';\n const trackInfo = `${name} (${date})`;\n\n Object.entries(curve).forEach(([dur, data]) => {\n const d = Number(dur);\n const val = (data as any).power || (data as any).hr;\n if (!maxCurve[d] || val > maxCurve[d].val)\n maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx };\n });\n });\n\n // 2. Get current track curve\n const currentCurve =\n (currentTrack &&\n (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) ||\n {};\n\n // 3. Combine durations\n const allDurations = new Set();\n Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d)));\n Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d)));\n const durations = Array.from(allDurations).sort((a, b) => a - b);\n\n const xData = durations;\n const yDataCurrent = durations.map((d) => {\n const entry = currentCurve[d];\n return entry ? (entry as any).power || (entry as any).hr : null;\n });\n const yDataMax = durations.map((d) => maxCurve[d]?.val || null);\n\n // Precompute timeline data for all tracks\n const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null);\n validTracks.sort(\n (a, b) =>\n (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) ||\n a.id.localeCompare(b.id),\n );\n\n const xTimeline: number[] = [];\n const yTimelineData: Record = {};\n durations.forEach((d) => (yTimelineData[d] = []));\n\n validTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n\n xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds\n durations.forEach((d) => {\n const entry = curve[d];\n const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null;\n yTimelineData[d].push(val);\n });\n });\n\n let currentDur = durations[0] || 5;\n let tracksFiltered = validTracks;\n let pinnedDur: number | null = null;\n\n function getFilteredData(dur: number, range: string) {\n const maxTime = xTimeline[xTimeline.length - 1] || 1785542400;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600;\n\n const filteredIndices: number[] = [];\n xTimeline.forEach((t, idx) => {\n if (t >= minTime) filteredIndices.push(idx);\n });\n\n const xFiltered = filteredIndices.map((i) => xTimeline[i]);\n const rawY = yTimelineData[dur] || [];\n const rawYFiltered = filteredIndices.map((i) => rawY[i]);\n const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5);\n tracksFiltered = filteredIndices.map((i) => validTracks[i]);\n\n return { xFiltered, rawYFiltered, smoothedYFiltered };\n }\n\n let timelineChart: uPlot | null = null;\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val font-m';\n curYVal.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const renderCharts = () => {\n const optsUPlot: uPlot.Options = {\n id: `${metricKey}-evolution`,\n width: 400,\n height: 250,\n padding: [0, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: 'Current Track',\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n {\n label: 'All-Time Max',\n stroke: '#888888',\n width: 1,\n fill: 'transparent',\n points: { show: true, size: 6, fill: '#888888' },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n x: false,\n y: false,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n\n // Draw pinned duration circle\n if (pinnedDur !== null) {\n const idx = xData.indexOf(pinnedDur);\n if (idx >= 0) {\n const pcx = u.valToPos(pinnedDur, 'x', true);\n const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]);\n const curVal = yDataCurrent[idx];\n const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr;\n const dotColor = curVal !== null ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n }\n\n ctx.restore();\n },\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(\n activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!,\n 'y',\n true,\n );\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr;\n const dotColor = activeSeriesIdx === 1 ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n const xValStr = fmtDuration(xData[idx!]);\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n // X Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!;\n const yValStr = `${yVal.toFixed(0)} ${unit}`;\n const yValWidth = ctx.measureText(yValStr).width;\n const ybw = yValWidth + 10 * dpr;\n\n const yLabelX = bb.left - ybw - 2 * dpr; // To the left\n const yLabelY = pcy - pillH / 2;\n\n // Y Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr);\n else ctx.rect(yLabelX, yLabelY, ybw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'left';\n ctx.textBaseline = 'middle';\n ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n const hasFocus = idx != null && xData[idx] != null;\n\n if (hasFocus) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null\n\n const durVal = xData[idx!];\n const curVal = yDataCurrent[idx!];\n const mxVal = yDataMax[idx!];\n\n let html = `
${fmtDuration(durVal)}
`;\n if (curVal !== null) {\n html += `\n
\n Current:\n ${curVal} ${unit}\n
\n `;\n }\n if (mxVal !== null) {\n html += `\n
\n Max:\n ${mxVal} ${unit}\n
\n `;\n }\n\n curYVal.innerHTML = html;\n\n if (timelineChart) {\n if (pinnedDur === null) {\n currentDur = durVal;\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([\n xFiltered,\n rawYFiltered,\n smoothedYFiltered,\n lowerBound,\n upperBound,\n ]);\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n }\n }\n curYVal.style.display = '';\n curYVal.style.left = `${cursorLeft! + bb.left}px`;\n curYVal.style.top = `${cursorTop! + bb.top}px`;\n curYVal.style.transform = 'translate(5px, -50%)';\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n };\n\n mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl);\n evolutionPlots.push(mainChart);\n\n chartEl.addEventListener('click', () => {\n if (!mainChart) return;\n const idx = mainChart.cursor.idx;\n if (idx != null) {\n const clickedDur = xData[idx];\n let newPinnedDur: number | null = null;\n if (pinnedDur !== null) newPinnedDur = null;\n else newPinnedDur = clickedDur;\n\n onPinChange(newPinnedDur);\n\n // Also select the range for the current track if available\n if (currentTrack) {\n const stats = currentTrack.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[clickedDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = clickedDur;\n const startPt = currentTrack.points[bestIdx];\n const endPt = currentTrack.points[bestIdx + duration - 1];\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = currentTrack.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n onTrackSelect?.(currentTrack.id, [min, max]);\n }\n }\n }\n }\n }\n });\n\n chartEl.addEventListener('mouseleave', () => {\n if (mainChart) mainChart.redraw();\n });\n\n // 4. Add expandable table\n const detailsEl = document.createElement('details');\n detailsEl.classList.add('progress-details');\n detailsEl.style.marginTop = '0px';\n detailsEl.style.setProperty('--chart-color', color);\n detailsEl.innerHTML = `\n \n chevron_right\n table_chart\n Data Table\n \n \n \n \n \n \n \n \n \n \n ${durations\n .map((d) => {\n const cur = currentCurve[d]\n ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr\n : '-';\n const mx = maxCurve[d]?.val || '-';\n const mxId = maxCurve[d]?.trackId;\n const mxIdx = maxCurve[d]?.idx;\n return `\n \n \n \n \n \n `;\n })\n .join('')}\n \n
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit}\n ${mx} ${unit}\n ${mxId ? `` : ''}\n
\n `;\n cardContainer.appendChild(detailsEl);\n\n detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n const id = btn.getAttribute('data-id');\n const idx = btn.getAttribute('data-idx');\n const dur = btn.getAttribute('data-dur');\n if (id) {\n document.dispatchEvent(\n new CustomEvent('select-track', {\n detail: {\n id,\n idx: idx ? Number(idx) : null,\n dur: dur ? Number(dur) : null,\n },\n }),\n );\n }\n });\n });\n\n let lastNearestIdx: number | null = null;\n\n // 5. Render timeline chart\n const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement;\n if (timelineEl) {\n timelineEl.style.position = 'relative';\n const timelineTooltip = document.createElement('div');\n timelineTooltip.className = 'timeline-tooltip font-m';\n timelineTooltip.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n timelineEl.appendChild(timelineTooltip);\n\n if (xTimeline.length > 0) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound];\n\n const series: any[] = [\n {\n value: (u: any, v: number) => {\n if (v != null) return fmtDate(v * 1000);\n\n return '-';\n },\n },\n {\n label: 'Value',\n stroke: color,\n width: 0,\n points: { show: true, size: 6, fill: hexToRgba(color, 0.5) },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n points: { show: false },\n spanGaps: true,\n fill: 'transparent',\n dash: [5, 5],\n },\n {\n label: 'Lower Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n {\n label: 'Upper Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n ];\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n\n const optsTimeline: uPlot.Options = {\n width: Math.max(100, (gridWidth || 570) - 400),\n height: 250,\n padding: [0, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n cursor: {\n points: {\n show: false,\n },\n drag: { setScale: false },\n x: false,\n y: false,\n },\n scales: {\n x: {\n time: true,\n range: (u) => {\n const min = u.data[0][0];\n const max = u.data[0][u.data[0].length - 1];\n if (min === undefined || max === undefined) return [0, 100];\n\n if (min === max) return [min - 3600, max + 3600];\n\n return [min, max];\n },\n },\n y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] },\n },\n series: series,\n bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }],\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n if (lastNearestIdx != null) {\n const track = tracksFiltered[lastNearestIdx];\n if (track) {\n const stats = track.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[currentDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = currentDur;\n\n const startPt = track.points[bestIdx];\n const endPt = track.points[bestIdx + duration - 1];\n\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = track.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n\n opts.onTrackSelect?.(track.id, [min, max]);\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n }\n }\n });\n },\n ],\n draw: [\n (u: uPlot) => {\n let idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const val = u.data[1][idx];\n if (val != null) {\n const tpcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const tpcy = u.valToPos(val, 'y', true);\n\n const tctx = u.ctx;\n const tdpr = window.devicePixelRatio || 1;\n\n // Draw lines\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([2 * tdpr, 2 * tdpr]);\n tctx.strokeStyle = hexToRgba(color, 0.4);\n tctx.lineWidth = 1 * tdpr;\n // Vertical line\n tctx.moveTo(tpcx, u.bbox.top);\n tctx.lineTo(tpcx, u.bbox.top + u.bbox.height);\n // Horizontal line\n tctx.moveTo(u.bbox.left, tpcy);\n tctx.lineTo(u.bbox.left + u.bbox.width, tpcy);\n tctx.stroke();\n tctx.restore();\n\n // Draw hover halo\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([]); // Reset to solid\n tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = hexToRgba(color, 0.2);\n tctx.fill();\n tctx.restore();\n\n // Draw center circle\n tctx.save();\n tctx.beginPath();\n tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = color;\n tctx.fill();\n tctx.strokeStyle = '#fff';\n tctx.lineWidth = 2 * tdpr;\n tctx.stroke();\n tctx.restore();\n\n // Draw axis labels\n tctx.save();\n tctx.setLineDash([]); // Reset to solid\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`;\n const dateWidth = tctx.measureText(dateStr).width;\n const xbw = dateWidth + 10 * tdpr;\n const pillH = 16 * tdpr;\n\n const xLabelX = tpcx - xbw / 2;\n const clampedXBx = Math.max(\n u.bbox.left,\n Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX),\n );\n const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr;\n\n // X Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr);\n else tctx.rect(clampedXBx, xLabelY, xbw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'center';\n tctx.textBaseline = 'middle';\n tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const valStr = `${val.toFixed(0)} ${unit}`;\n const valWidth = tctx.measureText(valStr).width;\n const ybw = valWidth + 10 * tdpr;\n\n const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left\n const yLabelY = tpcy - pillH / 2;\n\n // Y Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr);\n else tctx.rect(yLabelX, yLabelY, ybw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'left';\n tctx.textBaseline = 'middle';\n tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2);\n\n tctx.restore();\n }\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n const bb = u.bbox;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n const xData = u.data[0];\n const yData = u.data[1];\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const y = yData[i];\n if (x == null || y == null) continue;\n\n const px = u.valToPos(x, 'x', false);\n const py = u.valToPos(y, 'y', false);\n\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n }\n }\n\n if (minD2 <= maxD2) {\n idx = nearestIdx;\n lastNearestIdx = nearestIdx;\n } else {\n idx = null;\n lastNearestIdx = null;\n }\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const track = tracksFiltered[idx];\n const cx = u.valToPos(u.data[0][idx], 'x', false);\n const cy = u.valToPos(u.data[1][idx]!, 'y', false);\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n\n const val = u.data[1][idx];\n const valStr = val != null ? `${val} ${unit}` : '\u2014';\n\n timelineTooltip.innerHTML = `\n
\n Date:\n ${dateStr}\n
\n
\n Value:\n ${valStr}\n
\n `;\n timelineTooltip.style.display = 'block';\n timelineTooltip.style.left = `${cursorLeft! + bb.left}px`;\n timelineTooltip.style.top = `${cursorTop! + bb.top}px`;\n timelineTooltip.style.transform = 'translate(5px, -50%)';\n } else {\n timelineTooltip.style.display = 'none';\n }\n },\n ],\n },\n axes: [\n {\n space: 50,\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n show: true,\n font: '10px system-ui, sans-serif',\n size: 30,\n values: (u: any, vals: any[]) =>\n vals.map((v) => {\n const d = new Date(v * 1000);\n return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`;\n }),\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n font: '10px system-ui, sans-serif',\n values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`),\n show: true,\n space: 15,\n size: 50,\n },\n ],\n };\n\n timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl);\n evolutionPlots.push(timelineChart);\n\n timelineEl.addEventListener('mouseleave', () => {\n timelineChart!.redraw();\n });\n\n // Range control moved to toolbar\n } else {\n timelineEl.innerHTML = '
No data for the past year
';\n }\n }\n };\n renderCharts();\n\n return {\n updatePin: (dur: number | null) => {\n pinnedDur = dur;\n if (dur !== null) currentDur = dur;\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`;\n\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n if (mainChart) mainChart.redraw();\n },\n updateRange: (range: string) => {\n currentRange = range;\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n },\n };\n}\n\nfunction getWeekStart(date: Date): Date {\n const d = new Date(date);\n const day = d.getUTCDay();\n const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday\n d.setUTCDate(diff);\n d.setUTCHours(0, 0, 0, 0);\n return d;\n}\n\nfunction computeWeeklyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 };\n\n weeklyData[weekKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeWeeklyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey])\n weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 };\n\n weeklyData[weekKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction renderProgressCard(\n grid: HTMLElement,\n allTracks: TrackData[],\n type: 'distance' | 'elevation',\n syncKey?: any,\n onDateRangeSelect?: (start: string, end: string) => void,\n gridWidth?: number,\n) {\n const isDistance = type === 'distance';\n const weeklyData = isDistance\n ? computeWeeklyDistance(allTracks)\n : computeWeeklyElevation(allTracks);\n const accumulated = computeAccumulatedMetric(allTracks, (t) =>\n isDistance ? t.stats.totalDist : t.stats.elevGain,\n );\n const color = isDistance ? Metrics.distance.color : Metrics.elevation.color;\n const unit = isDistance ? 'km' : 'm';\n const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = `chart-row ${type}-progress-card`;\n cardContainer.id = `${type}-evolution-card`;\n\n cardContainer.innerHTML = `\n
\n
\n ${icon}\n ${isDistance ? 'Distance Progress' : 'Elevation Progress'}\n
\n
\n
\n
\n
\n
\n
\n
\n ${renderAccumulatedTable(accumulated, isDistance, unit)}\n
\n
\n `;\n\n grid.appendChild(cardContainer);\n\n const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement;\n const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement;\n\n if (!chartEl || !yAxisEl) return;\n\n chartEl.style.position = 'relative';\n\n // Use inline tooltip style\n const tooltip = document.createElement('div');\n tooltip.className = 'cur-y-val';\n tooltip.style.cssText = `color:${color};display:none`;\n chartEl.appendChild(tooltip);\n\n const xData = weeklyData.map((d) => d.timestamp / 1000);\n const yData = isDistance\n ? (weeklyData as any[]).map((d) => d.distance / 1000)\n : (weeklyData as any[]).map((d) => d.elevation);\n\n if (xData.length === 0) return;\n\n const yDataSmoothed = gaussianSmooth(yData, 2);\n\n const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20);\n const width = Math.max(chartClientW, xData.length * 40);\n const maxVal = Math.max(...yData) * 1.1;\n\n const mainOpts: uPlot.Options = {\n width: width,\n height: 150,\n padding: [10, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n scales: {\n x: { time: true },\n y: { range: [0, maxVal] },\n },\n series: [\n {},\n {\n label: isDistance ? 'Distance' : 'Elevation',\n stroke: color,\n fill: hexToRgba(color, 0.1),\n width: 2,\n points: { show: true, size: 4 },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n dash: [5, 5],\n points: { show: false },\n },\n ],\n cursor: {\n sync: syncKey ? { key: syncKey.key } : undefined,\n drag: { x: false, y: false },\n points: { show: false },\n x: false,\n y: false,\n },\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null) {\n const item = weeklyData[idx];\n if (item) {\n const start = new Date(item.timestamp);\n const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week\n const startStr = start.toISOString().split('T')[0];\n const endStr = end.toISOString().split('T')[0];\n onDateRangeSelect?.(startStr, endStr);\n }\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n const idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (\n idx != null &&\n cursorLeft != null &&\n cursorTop != null &&\n cursorLeft >= 0 &&\n cursorTop >= 0\n ) {\n const val = u.data[1][idx];\n const valStr =\n val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '\u2014';\n\n tooltip.innerHTML = valStr;\n tooltip.style.display = 'block';\n tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`;\n tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`;\n tooltip.style.transform = 'translate(6px, -50%)';\n } else {\n tooltip.style.display = 'none';\n }\n\n u.redraw(false);\n },\n ],\n draw: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(u.data[1][idx]!, 'y', true);\n const dpr = window.devicePixelRatio || 1;\n const ctx = u.ctx;\n const bb = u.bbox;\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = color;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n // X Label Pill\n const d = new Date(u.data[0][idx]! * 1000);\n const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n },\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n space: 40,\n values: (self, splits) =>\n splits.map((s) => {\n const d = new Date(s * 1000);\n return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`;\n }),\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`),\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n };\n\n const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl);\n evolutionPlots.push(mainChart);\n\n const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement;\n if (scrollContainer && xData.length * 40 > width)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n\n return {\n updateRange: (range: string) => {\n const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000;\n\n const filteredData = weeklyData.filter((d) => d.timestamp >= minTime);\n\n const newXData = filteredData.map((d) => d.timestamp / 1000);\n const newYData = isDistance\n ? (filteredData as any[]).map((d) => d.distance / 1000)\n : (filteredData as any[]).map((d) => d.elevation);\n const newYDataSmoothed = gaussianSmooth(newYData, 2);\n\n const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40);\n const newMaxVal = Math.max(...newYData) * 1.1;\n\n mainChart.setSize({ width: newWidth, height: 150 });\n mainChart.setScale('y', { min: 0, max: newMaxVal });\n mainChart.setData([newXData, newYData, newYDataSmoothed]);\n\n if (scrollContainer)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n },\n };\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData } from '../parsers';\n\nexport interface AccumulatedData {\n currentYear: number;\n pastYear: number;\n past6m: number;\n past1m: number;\n total: number;\n currentYearAvg: number;\n pastYearAvg: number;\n past6mAvg: number;\n past1mAvg: number;\n totalAvg: number;\n}\n\nexport function computeAccumulatedMetric(\n allTracks: TrackData[],\n extractor: (t: TrackData) => number | undefined,\n): AccumulatedData {\n // Derive deterministic reference timestamp from tracks (or fixed UTC fallback)\n let refTs = 0;\n for (let i = 0; i < allTracks.length; i++) {\n const st = allTracks[i].stats?.startTime;\n if (st && st > refTs) refTs = st;\n }\n if (!refTs) refTs = Date.UTC(2026, 7, 1);\n\n const now = new Date(refTs);\n const currentYear = now.getUTCFullYear();\n\n const oneYearAgoMs = Date.UTC(\n currentYear - 1,\n now.getUTCMonth(),\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const sixMonthsAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 6,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const oneMonthAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 1,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n\n let currentYearVal = 0;\n let pastYearVal = 0;\n let past6mVal = 0;\n let past1mVal = 0;\n let totalVal = 0;\n\n let minTime = refTs;\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime) return;\n const val = extractor(t);\n if (val === undefined) return;\n\n totalVal += val;\n\n const time = t.stats.startTime;\n if (time < minTime) minTime = time;\n\n const date = new Date(time);\n\n if (date.getUTCFullYear() === currentYear) currentYearVal += val;\n\n if (time >= oneYearAgoMs) pastYearVal += val;\n\n if (time >= sixMonthsAgoMs) past6mVal += val;\n\n if (time >= oneMonthAgoMs) past1mVal += val;\n });\n\n const msecPerWeek = 7 * 24 * 60 * 60 * 1000;\n const currentYearStart = Date.UTC(currentYear, 0, 1);\n\n const currentYearWeeks = Math.max(0.1, (refTs - currentYearStart) / msecPerWeek);\n const pastYearWeeks = Math.max(0.1, (refTs - oneYearAgoMs) / msecPerWeek);\n const past6mWeeks = Math.max(0.1, (refTs - sixMonthsAgoMs) / msecPerWeek);\n const past1mWeeks = Math.max(0.1, (refTs - oneMonthAgoMs) / msecPerWeek);\n const totalWeeks = Math.max(0.1, (refTs - minTime) / msecPerWeek);\n\n return {\n currentYear: currentYearVal,\n pastYear: pastYearVal,\n past6m: past6mVal,\n past1m: past1mVal,\n total: totalVal,\n currentYearAvg: currentYearVal / currentYearWeeks,\n pastYearAvg: pastYearVal / pastYearWeeks,\n past6mAvg: past6mVal / past6mWeeks,\n past1mAvg: past1mVal / past1mWeeks,\n totalAvg: totalVal / totalWeeks,\n };\n}\n\nexport function renderAccumulatedTable(\n accumulated: AccumulatedData,\n isDistance: boolean,\n unit: string,\n): string {\n const factor = isDistance ? 1000 : 1;\n const format = (val: number) => {\n const formattedVal = isDistance ? val / factor : val;\n return formattedVal.toLocaleString('en-US', {\n minimumFractionDigits: isDistance ? 1 : 0,\n maximumFractionDigits: isDistance ? 1 : 0,\n });\n };\n\n return `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Period${isDistance ? 'Distance' : 'Elevation'}${isDistance ? 'Distance/Week' : 'Elevation/Week'}
Current Year${format(accumulated.currentYear)} ${unit}${format(accumulated.currentYearAvg)} ${unit}
Past Year${format(accumulated.pastYear)} ${unit}${format(accumulated.pastYearAvg)} ${unit}
Past 6 Months${format(accumulated.past6m)} ${unit}${format(accumulated.past6mAvg)} ${unit}
Past 1 Month${format(accumulated.past1m)} ${unit}${format(accumulated.past1mAvg)} ${unit}
Total${format(accumulated.total)} ${unit}${format(accumulated.totalAvg)} ${unit}
\n `;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 Main Application \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nimport { Storage } from './storage';\nimport { UrlState, AppState } from './url-state';\nimport { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers';\nimport { MapView } from './map';\nimport { ChartView } from './charts';\nimport { renderDetails, initDetails, resetDetails } from './tabs/details';\nimport { renderInsights, initInsights, resetInsights } from './tabs/insights';\nimport { renderCombined, initCombined, resizeCombined, resetCombined } from './tabs/combined';\nimport { renderEvolution, resetEvolution } from './tabs/progress';\nimport {\n renderCourses,\n initCourses,\n prepareBenchmarkCourses,\n resetCourses,\n selectCourse,\n} from './tabs/courses';\nimport { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils';\n\nconst TRACK_COLORS: string[] = [\n '#FF6B35',\n '#4ECDC4',\n '#45B7D1',\n '#F7DC6F',\n '#FF6B6B',\n '#BB8FCE',\n '#82E0AA',\n '#F8C471',\n '#3b82f6',\n];\n\nconst POINT_ZOOM_LEVEL = 16;\n\nlet tracks: Record = {};\nlet skippedImports: { name: string; reason: string }[] = [];\n\nfunction isSameDay(t1: number, t2: number) {\n const d1 = new Date(t1);\n const d2 = new Date(t2);\n return (\n d1.getUTCFullYear() === d2.getUTCFullYear() &&\n d1.getUTCMonth() === d2.getUTCMonth() &&\n d1.getUTCDate() === d2.getUTCDate()\n );\n}\n\nlet cancelProcessing = false;\nlet selectedId: string | null = null;\nlet colorIdx = 0;\nlet followDot = false;\nlet currentMapColors: string[] | null = null;\n\n// Search/Filter state\nlet searchQuery = '';\nlet searchRegex = false;\nlet currentSort = 'date-desc';\n\ninterface Filters {\n date: [string | null, string | null];\n dist: [number | null, number | null];\n dur: [number | null, number | null];\n metrics: Set;\n tags: string[];\n sport: string | null;\n}\n\nlet filters: Filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n};\n\nfunction syncFiltersToUrl(push: boolean = false) {\n UrlState.patch(\n {\n f_date: filters.date.every((v) => v === null) ? null : filters.date,\n f_dist: filters.dist.every((v) => v === null) ? null : filters.dist,\n f_dur: filters.dur.every((v) => v === null) ? null : filters.dur,\n f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics),\n f_tags: filters.tags.length === 0 ? null : filters.tags,\n },\n push,\n );\n}\n\nfunction syncMetricsToUrl() {\n const active = ChartView.getActiveMetrics();\n const metrics = ChartView.METRICS;\n const abbrs = Array.from(active).map((key) => metrics[key].abbr);\n UrlState.patch({ metrics: abbrs.length ? abbrs : null });\n}\n\nconst SORT_OPTIONS = [\n { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' },\n { label: 'Oldest first', val: 'date-asc', icon: 'history' },\n { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' },\n { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' },\n { label: 'Longest duration', val: 'dur-desc', icon: 'timer' },\n { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' },\n];\n\nfunction showSortMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'sort-menu-popup';\n\n SORT_OPTIONS.forEach((opt) => {\n const item = document.createElement('div');\n item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`;\n item.innerHTML = `\n ${opt.icon}\n ${opt.label}\n ${currentSort === opt.val ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n currentSort = opt.val;\n UrlState.patch({ sort: opt.val });\n updateSearchSortUI();\n renderTrackList();\n popup.remove();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction showMetricMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const available = ChartView.getAvailableMetrics();\n const active = ChartView.getActiveMetrics();\n\n Object.entries(metrics).forEach(([key, def]) => {\n if (!available.has(key)) return;\n\n const item = document.createElement('div');\n item.className = `menu-item ${active.has(key) ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${active.has(key) ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n ChartView.toggleMetric(key);\n const isNowActive = ChartView.getActiveMetrics().has(key);\n item.classList.toggle('active', isNowActive);\n item.querySelector('.check')!.textContent = isNowActive ? 'check' : '';\n\n const pill = document.querySelector(`#metric-pills .metric-pill[data-metric=\"${key}\"]`);\n if (pill) pill.classList.toggle('active', isNowActive);\n\n updateToolbarLayout();\n\n syncMetricsToUrl();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.right = `${window.innerWidth - rect.right}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\n// \u2500\u2500 Tab Management \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndocument.addEventListener('select-track', (e: any) => {\n const id = e.detail.id;\n const idx = e.detail.idx;\n const dur = e.detail.dur;\n if (id && tracks[id]) {\n selectTrack(id);\n if (idx != null && dur != null) {\n const t = tracks[id];\n const pts = t.points;\n if (idx >= 0 && idx < pts.length) {\n const pIdx = pts[idx];\n if (pIdx && pIdx.time != null) {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const tMin = (pIdx.time - t0) / 1000;\n const tMax = tMin + dur;\n\n // ChartView selection\n ChartView.restoreSelection(tMin, tMax);\n\n // Find iMax based on duration\n let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000);\n if (iMax === -1) iMax = pts.length - 1;\n\n const selPts = pts.slice(idx, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n\n renderInsights(t);\n\n MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n\n // Update URL state\n UrlState.patch({ sel: [tMin, tMax] });\n }\n }\n }\n }\n});\n\ndocument.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement;\n if (!btn) return;\n const nav = btn.closest('#tab-nav');\n if (!nav) return;\n\n // Toggle buttons\n nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn));\n\n const tab = btn.dataset.tab!;\n UrlState.patch({ tab }, true);\n\n // Toggle contents\n const panel = nav.closest('#chart-panel');\n if (panel) {\n panel.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`);\n });\n }\n\n if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId])\n renderDetails(tracks[selectedId], getGlobalTags());\n\n if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId])\n renderInsights(tracks[selectedId]);\n\n if (btn.dataset.tab === 'evolution') {\n renderEvolution(\n selectedId ? tracks[selectedId] : null,\n Object.values(tracks),\n (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n },\n (start, end) => {\n filters.date = [start, end];\n applyFilters();\n syncFiltersToUrl(true);\n updateFilterUI();\n },\n );\n }\n\n if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId])\n renderCombined(tracks[selectedId]);\n\n if (btn.dataset.tab === 'courses') renderCourses();\n\n if (btn.dataset.tab === 'graphs') {\n ChartView.resize();\n updateToolbarLayout();\n\n // Restore selection from URL\n const s = UrlState.get().sel;\n if (s) ChartView.restoreSelection(s[0], s[1]);\n }\n});\n\nasync function resetBenchmarkState() {\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n await Storage.clear();\n tracks = {};\n skippedImports = [];\n selectedId = null;\n colorIdx = 0;\n currentMapColors = null;\n cancelProcessing = false;\n followDot = false;\n searchQuery = '';\n searchRegex = false;\n currentSort = 'date-desc';\n filters.date = [null, null];\n filters.dist = [null, null];\n filters.dur = [null, null];\n filters.metrics.clear();\n filters.tags = [];\n Parsers.setHRZones([120, 140, 160, 180]);\n Parsers.setFTP(200);\n resetCourses();\n resetInsights();\n resetDetails();\n resetCombined();\n resetEvolution();\n if (MapView.removeAllTracks) MapView.removeAllTracks();\n if (MapView.clearTracks) MapView.clearTracks();\n MapView.clearHighlight();\n if (ChartView.resetState) ChartView.resetState();\n else if (ChartView.clear) ChartView.clear();\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs');\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === 'tab-graphs');\n });\n UrlState.reset();\n const toastContainer = document.getElementById('toast-container');\n if (toastContainer) toastContainer.innerHTML = '';\n document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove());\n if (typeof renderTrackList === 'function') renderTrackList();\n}\n\n// \u2500\u2500 Boot \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nasync function init() {\n // Wait for fonts to be loaded with a cleaned-up timeout\n let fontTimerId: number | null = null;\n const fontTimeout = new Promise((resolve) => {\n fontTimerId = window.setTimeout(resolve, 1000);\n });\n try {\n const fontLoadPromise = document.fonts\n ? Promise.all([\n document.fonts.load('24px \"Material Symbols Rounded\"').catch(() => {}),\n document.fonts.ready,\n ])\n : Promise.resolve();\n await Promise.race([fontLoadPromise, fontTimeout]);\n } finally {\n if (fontTimerId !== null) window.clearTimeout(fontTimerId);\n }\n document.body.classList.remove('loading-fonts');\n const storageSelect = document.getElementById(\n 'storage-backend-select',\n ) as HTMLSelectElement | null;\n if (storageSelect) {\n storageSelect.value = UrlState.get().storage || 'memory';\n storageSelect.addEventListener('change', (e) => {\n const selected = (e.target as HTMLSelectElement).value;\n const params = new URLSearchParams(window.location.search);\n if (selected === 'memory') {\n params.delete('storage');\n } else {\n params.set('storage', selected);\n }\n window.location.search = params.toString();\n });\n }\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const mapLoader = document.getElementById('map-loader');\n const mapLoaderSpan = mapLoader?.querySelector('span');\n\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...';\n mapLoader.classList.remove('hidden');\n }\n\n const urlState = UrlState.get();\n\n initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n\n // Init sub-systems\n MapView.init(\n (id) => selectTrack(id),\n onMapMove,\n onMapPointClick,\n (id, idx) => {\n if (id === selectedId) ChartView.setHoverAt(idx);\n else ChartView.setHoverAt(null);\n },\n onMapDblClick,\n );\n ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => {\n UrlState.patch({ sel_point: idx });\n });\n\n ChartView.setMapColorChangeCb((data) => {\n if (data) {\n currentMapColors = data.colors;\n if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors);\n } else {\n currentMapColors = null;\n if (selectedId) MapView.clearMetricColor(selectedId);\n }\n\n // Refresh highlight with new colors if a selection exists\n const currentUrlState = UrlState.get();\n if (currentUrlState.sel)\n onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis());\n });\n\n applyState(urlState);\n\n // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions\n await Storage.openDB();\n await resetBenchmarkState();\n\n // Load persisted tracks\n try {\n // Load global settings\n const hrZones = await Storage.get('hr_zones');\n if (hrZones) Parsers.setHRZones(hrZones);\n\n const ftp = await Storage.get('ftp');\n if (ftp) Parsers.setFTP(ftp);\n\n const saved = await Storage.getAll();\n saved.sort((a, b) => a.addedAt - b.addedAt);\n\n if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`;\n\n const tracksToLoad: TrackData[] = [];\n for (const t of saved) {\n let updated = false;\n if (!t.bounds && t.points.length > 0) {\n const b = calculateBounds(t.points);\n if (b) {\n t.bounds = b;\n updated = true;\n }\n }\n if (!t.simplifiedPoints && t.points.length > 0) {\n t.simplifiedPoints = simplifyTrack(t.points, 50);\n updated = true;\n }\n if (updated) await Storage.save(t);\n\n tracks[t.id] = t;\n tracksToLoad.push(t);\n }\n MapView.addTracks(tracksToLoad);\n applyFilters();\n\n const restoreId =\n urlState.track && saved.find((t) => t.id === urlState.track)\n ? urlState.track\n : saved.length > 0\n ? saved[0].id\n : null;\n\n const mapLoader = document.getElementById('map-loader');\n\n // 1. Process and load the \"Priority\" track first\n const selectedTrackData = saved.find((t) => t.id === restoreId);\n if (selectedTrackData) {\n await processAndLoadTrack(selectedTrackData);\n selectTrack(selectedTrackData.id, !urlState.map_pos);\n\n // Explicitly restore selection/pin from URL if they exist\n if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]);\n });\n });\n }\n if (urlState.sel_point !== undefined && urlState.sel_point !== null) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.setCursorAt(urlState.sel_point!);\n });\n });\n }\n }\n\n // Hide database loader\n if (mapLoader) mapLoader.classList.add('hidden');\n\n // 2. Load the rest in background chunks\n if (saved.length > (selectedTrackData ? 1 : 0)) {\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...';\n mapLoader.classList.remove('hidden');\n }\n\n const remaining = saved.filter((t) => t.id !== restoreId);\n let index = 0;\n\n const loadNextChunk = async () => {\n const chunkSize = 2; // Process 2 tracks per frame\n const end = Math.min(index + chunkSize, remaining.length);\n\n for (; index < end; index++) await processAndLoadTrack(remaining[index]);\n\n if (index < remaining.length) {\n requestAnimationFrame(loadNextChunk);\n } else {\n if (mapLoader) mapLoader.classList.add('hidden');\n applyFilters(); // Final sync\n if (selectedId && tracks[selectedId]) {\n renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n // Only fit all if no saved map position and we just finished loading everything\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n };\n\n requestAnimationFrame(loadNextChunk);\n } else {\n applyFilters();\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n } catch (e) {\n console.warn('Could not load saved tracks:', e);\n }\n\n // Panel resizers\n initResizeHandle();\n initSidebarResizer();\n initMetricPillDraggable();\n updateToolbarLayout();\n\n // Basemap switcher\n document.getElementById('basemap-switcher')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement;\n if (!btn) return;\n document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n if (btn.dataset.layer) {\n MapView.switchBasemap(btn.dataset.layer);\n UrlState.patch({ map: btn.dataset.layer });\n }\n });\n\n // Fit all\n document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll());\n\n // Clear all\n document.getElementById('btn-clear-all')?.addEventListener('click', clearAll);\n\n // Search\n document.getElementById('track-search')?.addEventListener('input', (e) => {\n searchQuery = (e.target as HTMLInputElement).value;\n applyFilters();\n UrlState.patch({ q: searchQuery || null });\n });\n\n document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => {\n searchRegex = !searchRegex;\n (e.target as HTMLElement).classList.toggle('active', searchRegex);\n applyFilters();\n UrlState.patch({ re: searchRegex ? 1 : null });\n });\n\n // Sort\n document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSortMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric menu toggle\n document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMetricMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric toggles (shared logic)\n const toggleMetric = (metric: string, pill: HTMLElement | null) => {\n if (pill) pill.classList.toggle('active');\n ChartView.toggleMetric(metric);\n syncMetricsToUrl();\n };\n\n document.getElementById('metric-pills')?.addEventListener('click', (e) => {\n const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (pill) {\n const metric = pill.dataset.metric;\n if (metric) {\n toggleMetric(metric, pill);\n\n // Scroll to it if it became active\n if (ChartView.getActiveMetrics().has(metric)) {\n const targetEl = document.querySelector(`.chart-row[data-metric=\"${metric}\"]`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n }\n }\n });\n\n // X-axis toggle\n document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const axis = btn.dataset.axis!;\n ChartView.setXAxis(axis);\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', b === btn));\n UrlState.patch({ xaxis: axis });\n });\n\n // Follow dot\n document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => {\n followDot = !followDot;\n (e.currentTarget as HTMLElement).classList.toggle('active', followDot);\n });\n\n // Reset zoom\n document.getElementById('btn-reset-zoom')?.addEventListener('click', () => {\n ChartView.resetZoom();\n MapView.clearHighlight();\n });\n\n // File drag/drop\n initDropZone();\n\n // File browse\n document.getElementById('file-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n document.getElementById('folder-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n\n // Filters\n document.getElementById('btn-toggle-filters')?.addEventListener('click', () => {\n const panel = document.getElementById('filter-panel');\n if (panel) {\n panel.classList.toggle('hidden');\n document\n .getElementById('btn-toggle-filters')\n ?.classList.toggle('active', !panel.classList.contains('hidden'));\n }\n });\n\n const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => {\n const val = (e.target as HTMLInputElement).value;\n (filters[type] as any)[idx] = val === '' ? null : val;\n applyFilters();\n syncFiltersToUrl();\n };\n\n document\n .getElementById('filter-date-start')\n ?.addEventListener('change', (e) => onFilterInput('date', 0, e));\n document\n .getElementById('filter-date-end')\n ?.addEventListener('change', (e) => onFilterInput('date', 1, e));\n document\n .getElementById('filter-dist-min')\n ?.addEventListener('input', (e) => onFilterInput('dist', 0, e));\n document\n .getElementById('filter-dist-max')\n ?.addEventListener('input', (e) => onFilterInput('dist', 1, e));\n document\n .getElementById('filter-dur-min')\n ?.addEventListener('input', (e) => onFilterInput('dur', 0, e));\n document\n .getElementById('filter-dur-max')\n ?.addEventListener('input', (e) => onFilterInput('dur', 1, e));\n\n const burgerBtn = document.getElementById('sport-burger-btn');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n burgerBtn?.addEventListener('click', (e) => {\n e.stopPropagation();\n if (dropdownContent) {\n const isVisible = dropdownContent.style.display === 'block';\n dropdownContent.style.display = isVisible ? 'none' : 'block';\n }\n });\n\n document.addEventListener('click', (e) => {\n if (dropdownContent && dropdownContent.style.display === 'block') {\n if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn)\n dropdownContent.style.display = 'none';\n }\n });\n\n document.getElementById('sport-filter-container')?.addEventListener('click', (e) => {\n const target = e.target as HTMLElement;\n const btn = target.closest('[data-sport]');\n if (btn) {\n const selectedSport = (btn as HTMLElement).dataset.sport || null;\n filters.sport = filters.sport === selectedSport ? null : selectedSport;\n applyFilters();\n syncFiltersToUrl();\n updateFilterUI();\n\n if (target.closest('.dropdown-item')) {\n if (dropdownContent) dropdownContent.style.display = 'none';\n }\n }\n });\n\n document.getElementById('filter-metrics')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement;\n if (!btn) return;\n const m = btn.dataset.metric!;\n if (filters.metrics.has(m)) filters.metrics.delete(m);\n else filters.metrics.add(m);\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('btn-reset-filters')?.addEventListener('click', () => {\n filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n };\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('filter-tags')?.addEventListener('input', (e) => {\n const val = (e.target as HTMLInputElement).value;\n filters.tags = val\n .split(',')\n .map((s) => s.trim().toLowerCase())\n .filter((s) => !!s);\n applyFilters();\n syncFiltersToUrl();\n });\n\n // Keyboard shortcuts\n document.addEventListener('keydown', (e) => {\n if (e.key === 'Escape') {\n MapView.hideCursor();\n MapView.closePopup?.();\n // Dismiss popups and modals\n document\n .querySelectorAll(\n '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop',\n )\n .forEach((el) => el.remove());\n }\n });\n\n // Resize charts when window changes\n window.addEventListener('resize', () => {\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n updateToolbarLayout();\n });\n\n // Handle back/forward navigation\n window.addEventListener('popstate', () => {\n UrlState.refresh();\n applyState(UrlState.get());\n });\n\n initBenchmarkTriggers();\n await preloadBenchmarkFiles();\n\n // Signal to Speedometer test harness that asynchronous initialization has completed\n // and benchmark step triggers are bound.\n const readyEl = document.createElement('div');\n readyEl.id = 'app-is-ready';\n readyEl.setAttribute('data-ready', 'true');\n readyEl.style.display = 'none';\n document.body.appendChild(readyEl);\n\n const camelReadyEl = document.createElement('div');\n camelReadyEl.id = 'appIsReady';\n camelReadyEl.setAttribute('data-ready', 'true');\n camelReadyEl.style.display = 'none';\n document.body.appendChild(camelReadyEl);\n}\n\nlet preloadedBenchmarkPayloads:\n | {\n cleanName: string;\n buf: ArrayBuffer;\n text?: string;\n file: File;\n }[]\n | null = null;\n\nasync function preloadBenchmarkFiles(): Promise<\n { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[]\n> {\n if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads;\n try {\n const manifestResp = await fetch('./test-data/manifest.json');\n const fileNames: string[] = await manifestResp.json();\n const decoder = new TextDecoder();\n preloadedBenchmarkPayloads = await Promise.all(\n fileNames.map(async (name) => {\n const fileResp = await fetch(`./test-data/${name}`);\n let buf = await fileResp.arrayBuffer();\n let cleanName = name;\n if (name.toLowerCase().endsWith('.gz')) {\n cleanName = name.slice(0, -3);\n const bytes = new Uint8Array(buf);\n if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) {\n const ds = new DecompressionStream('gzip');\n const stream = new Blob([buf]).stream().pipeThrough(ds);\n buf = await new Response(stream).arrayBuffer();\n }\n }\n const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf);\n const file = new File([buf], cleanName, { type: 'application/octet-stream' });\n (file as any)._buf = buf;\n if (text !== undefined) (file as any)._text = text;\n return { cleanName, buf, text, file };\n }),\n );\n // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase\n let warmSample: any = null;\n for (const idx of [0, 2, 4]) {\n if (preloadedBenchmarkPayloads[idx]) {\n const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file);\n if (idx === 0) warmSample = parsed;\n }\n }\n if (warmSample) {\n const warmPts = warmSample.points.slice(0, 1250);\n const warmTrack: TrackData = {\n ...warmSample,\n id: 'warmup',\n fileName: 'warmup.gpx',\n fileSize: 1024,\n points: warmPts,\n bounds: calculateBounds(warmPts) || undefined,\n simplifiedPoints: simplifyTrack(warmPts, 50),\n stats: Parsers.computeStats(warmPts),\n addedAt: 1785542400000,\n visible: true,\n color: TRACK_COLORS[0],\n };\n const warmTrack2: TrackData = {\n ...warmTrack,\n id: 'warmup-2',\n fileName: 'warmup2.gpx',\n addedAt: 1785628800000,\n color: TRACK_COLORS[1],\n };\n const warmList = [warmTrack, warmTrack2];\n Parsers.ensureCurvesAndZones(warmTrack);\n Parsers.ensureCurvesAndZones(warmTrack2);\n MapView.addTracks(warmList);\n ChartView.loadTrack(warmTrack, warmList, false);\n ChartView.restoreSelection(10, 50, true);\n ChartView.setCursorAt(25, true);\n ChartView.setActiveMetrics(['elevation', 'speed', 'power']);\n ChartView.analyzeTelemetryIntervals(warmList, 10, 50);\n renderInsights(warmTrack, warmList);\n renderDetails(warmTrack, [], warmList);\n renderCombined(warmList, warmList);\n renderEvolution(warmTrack, warmList);\n prepareBenchmarkCourses(warmList);\n selectCourse('course-1', true);\n await resetBenchmarkState();\n void document.body.offsetHeight;\n await new Promise((r) => window.setTimeout(r, 0));\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n return preloadedBenchmarkPayloads;\n } catch {\n return [];\n }\n}\n\nfunction initBenchmarkTriggers() {\n const btnLoad = document.getElementById('btn-step-load');\n const btnAnalysis = document.getElementById('btn-step-analysis');\n const btnInsights = document.getElementById('btn-step-insights');\n const btnDetails = document.getElementById('btn-step-details');\n const btnAggregate = document.getElementById('btn-step-aggregate');\n const btnEvolution = document.getElementById('btn-step-evolution');\n const btnCourses = document.getElementById('btn-step-courses');\n\n function activateTab(tabName: string) {\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName);\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${tabName}`);\n });\n UrlState.patch({ tab: tabName }, false);\n }\n\n btnLoad?.addEventListener('click', async () => {\n try {\n if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) {\n await Storage.openDB();\n await resetBenchmarkState();\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n const payloads = await preloadBenchmarkFiles();\n const loadedFiles: File[] = payloads.map((p) => p.file);\n await handleFiles(loadedFiles);\n const allTracks = Object.values(tracks);\n if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id);\n } finally {\n window.dispatchEvent(new CustomEvent('load-and-parse-complete'));\n }\n });\n\n btnAnalysis?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('graphs');\n if (!selectedId && allTracks.length > 0) {\n selectTrack(allTracks[0].id);\n }\n ChartView.restoreSelection(120, 900, true);\n ChartView.setCursorAt(300, true);\n const availableMetrics = ChartView.getAvailableMetrics();\n const analysisMetrics = ['elevation', 'speed', 'power'].filter((m) =>\n availableMetrics.has(m),\n );\n if (analysisMetrics.length > 0) {\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const metric = (el as HTMLElement).dataset.metric;\n if (metric) el.classList.toggle('active', analysisMetrics.includes(metric));\n });\n updateToolbarLayout();\n ChartView.setActiveMetrics(analysisMetrics);\n } else {\n updateToolbarLayout();\n }\n ChartView.analyzeTelemetryIntervals(allTracks, 120, 900);\n onChartRangeChange(120, 900, ChartView.getXAxis(), false);\n } finally {\n window.dispatchEvent(new CustomEvent('analysis-complete'));\n }\n });\n\n btnInsights?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t));\n activateTab('insights');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderInsights(primaryTrack, allTracks);\n } finally {\n window.dispatchEvent(new CustomEvent('insights-complete'));\n }\n });\n\n btnDetails?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('details');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderDetails(primaryTrack, getGlobalTags(), allTracks);\n } finally {\n window.dispatchEvent(new CustomEvent('details-complete'));\n }\n });\n\n btnAggregate?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n if (allTracks.length >= 2) {\n const selectedTwo = [allTracks[0], allTracks[1]];\n activateTab('combined');\n renderCombined(selectedTwo, allTracks);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('aggregate-complete'));\n }\n });\n\n btnEvolution?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('evolution');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n renderEvolution(primaryTrack, allTracks, (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n } finally {\n window.dispatchEvent(new CustomEvent('evolution-complete'));\n }\n });\n\n btnCourses?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('courses');\n prepareBenchmarkCourses(allTracks);\n selectCourse('course-1', true);\n } finally {\n window.dispatchEvent(new CustomEvent('courses-complete'));\n }\n });\n\n (window as any).benchmarkSteps = {\n loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(),\n displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(),\n displayInsights: () => document.getElementById('btn-step-insights')?.click(),\n displayDetails: () => document.getElementById('btn-step-details')?.click(),\n displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(),\n displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(),\n displayCourses: () => document.getElementById('btn-step-courses')?.click(),\n };\n}\n\nasync function processAndLoadTrack(t: TrackData) {\n // Migration: re-calculate stats if new insights are missing or old format\n const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : [];\n\n const needsEnrich =\n t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined);\n\n const needsRecalc =\n needsEnrich ||\n !t.stats.powerCurve ||\n !t.stats.hrZones ||\n !t.stats.hrCurve ||\n t.stats.shifts === undefined ||\n t.stats.avgBattery === undefined ||\n t.stats.avgTemp === undefined ||\n (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') ||\n ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]);\n\n if (needsRecalc) {\n if (needsEnrich) t.points = Parsers.enrichPoints(t.points);\n t.stats = Parsers.computeStats(t.points);\n await Storage.save(t);\n }\n\n tracks[t.id] = t;\n colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1);\n MapView.addTrack(t);\n MapView.setTrackVisible(t.id, t.visible && !t._filtered);\n renderTrackList(); // Progressive list update\n}\n\nfunction initResizeHandle() {\n const handle = document.getElementById('resize-handle');\n const panel = document.getElementById('chart-panel');\n if (!handle || !panel) return;\n\n let isDragging = false;\n\n handle.addEventListener('mousedown', () => {\n isDragging = true;\n document.body.style.cursor = 'ns-resize';\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const h = window.innerHeight - e.clientY;\n const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h));\n panel.style.height = `${clampedH}px`;\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n document.body.style.cursor = '';\n });\n}\n\nfunction initSidebarResizer() {\n const resizer = document.getElementById('sidebar-resizer');\n const sidebar = document.getElementById('sidebar');\n if (!resizer || !sidebar) return;\n\n let isDragging = false;\n\n resizer.addEventListener('mousedown', () => {\n isDragging = true;\n resizer.classList.add('dragging');\n document.body.classList.add('dragging-sidebar');\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const w = e.clientX;\n const clampedW = Math.max(200, Math.min(600, w));\n sidebar.style.width = `${clampedW}px`;\n sidebar.style.setProperty('--sidebar-w', `${clampedW}px`);\n ChartView.resize();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n resizer.classList.remove('dragging');\n document.body.classList.remove('dragging-sidebar');\n });\n}\n\n// \u2500\u2500 Event Handlers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nfunction onMapMove(lat: number, lng: number, zoom: number) {\n UrlState.patch({ map_pos: [lat, lng, zoom] });\n}\n\nfunction onMapPointClick(id: string, idx: number) {\n selectTrack(id, false);\n ChartView.setCursorAt(idx);\n}\n\nfunction onMapDblClick() {\n // MapView.fitAll();\n}\n\nfunction onChartCursorMove(pt: TrackPoint | null) {\n if (pt && pt.lat != null && pt.lon != null) {\n MapView.showCursorAt(pt.lat, pt.lon);\n if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true);\n } else {\n MapView.hideCursor();\n }\n}\n\nfunction onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) {\n if (!selectedId || !tracks[selectedId]) return;\n const t = tracks[selectedId];\n\n if (min === null || max === null) {\n MapView.clearHighlight();\n if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n UrlState.patch({ sel: null });\n return;\n }\n\n // Find point indices\n const pts = t.points;\n let iMin = 0,\n iMax = pts.length - 1;\n\n if (axis === 'distance') {\n const d0 = min * 1000,\n d1 = max * 1000;\n iMin = pts.findIndex((p) => (p.dist || 0) >= d0);\n iMax = pts.findIndex((p) => (p.dist || 0) >= d1);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const ts0 = t0 + min * 1000,\n ts1 = t0 + max * 1000;\n iMin = pts.findIndex((p) => (p.time || 0) >= ts0);\n iMax = pts.findIndex((p) => (p.time || 0) >= ts1);\n }\n\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = pts.length - 1;\n\n // Compute selection stats\n const selPts = pts.slice(iMin, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n\n MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n UrlState.patch({ sel: [min, max] });\n}\n\nfunction onChartClick(pt: TrackPoint, idx: number) {\n if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL);\n}\n\nexport function selectTrack(id: string, fit = true, deferChartRender = false) {\n if (!tracks[id]) return;\n if (id === selectedId) {\n if (fit) MapView.fitTrack(id);\n return;\n }\n\n const hadSelected = selectedId !== null;\n if (hadSelected) {\n // Clear current views immediately before loading new data\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n }\n\n selectedId = id;\n\n // Fully reset metric coloring when switching tracks\n currentMapColors = null;\n MapView.clearMetricColor(id);\n if (hadSelected) {\n ChartView.toggleMapColor(null); // Ensure ChartView state also resets\n }\n\n // Clear selection on new track\n UrlState.patch({ track: id, sel: null }, true);\n if (hadSelected) {\n ChartView.cancelSelection();\n }\n\n // Update UI immediately\n renderTrackList();\n\n // Render details\n const activeTab = UrlState.get().tab || 'graphs';\n if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags());\n if (activeTab === 'insights') renderInsights(tracks[id]);\n if (activeTab === 'combined') renderCombined(tracks[id]);\n if (activeTab === 'courses') renderCourses();\n if (activeTab === 'evolution') {\n renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n\n // Tell sub-views\n MapView.setSelectedTrack(id, fit);\n if (fit) MapView.fitTrack(id);\n ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender);\n}\n\nasync function deleteTrack(id: string) {\n await Storage.remove(id);\n MapView.removeTrack(id);\n delete tracks[id];\n if (selectedId === id) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n UrlState.patch({ track: null, sel: null, sel_point: null });\n }\n applyFilters();\n}\n\nasync function clearAll() {\n const code = Math.floor(10 + Math.random() * 90).toString();\n\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n backdrop.innerHTML = `\n
\n
Delete all tracks?
\n
\n This will permanently remove all tracks from your browser storage. This action cannot be undone.\n
\n
\n
Enter \"${code}\" to confirm:
\n \n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const input = backdrop.querySelector('.modal-input') as HTMLInputElement;\n const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement;\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n\n input.focus();\n\n input.addEventListener('input', () => {\n btnConfirm.disabled = input.value !== code;\n });\n\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n\n btnConfirm.addEventListener('click', async () => {\n if (input.value !== code) return;\n close();\n\n cancelProcessing = true;\n await Storage.clear();\n\n tracks = {};\n selectedId = null;\n MapView.clearHighlight();\n window.location.reload();\n });\n}\n\nfunction applyFilters(skipRender = false) {\n const ids = Object.keys(tracks);\n ids.forEach((id) => {\n const t = tracks[id];\n const s = t.stats;\n let visible = true;\n\n // Search query\n if (searchQuery) {\n if (searchRegex) {\n try {\n const re = new RegExp(searchQuery, 'i');\n if (!re.test(t.name)) visible = false;\n } catch (e) {\n visible = false;\n }\n } else {\n if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false;\n }\n }\n\n // Date filter\n if (visible && (filters.date[0] || filters.date[1])) {\n const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0;\n const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity;\n const t0 = s.startTime || 0;\n if (t0 < start || t0 > end) visible = false;\n }\n\n // Distance filter\n if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) {\n const min = (filters.dist[0] || 0) * 1000;\n const max = (filters.dist[1] || Infinity) * 1000;\n if (s.totalDist < min || s.totalDist > max) visible = false;\n }\n\n // Duration filter\n if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) {\n const min = (filters.dur[0] || 0) * 60000;\n const max = (filters.dur[1] || Infinity) * 60000;\n const d = s.duration || 0;\n if (d < min || d > max) visible = false;\n }\n\n // Metrics filter\n if (visible && filters.metrics.size > 0) {\n for (const m of filters.metrics) {\n const field = ChartView.METRICS[m].field;\n if (!t.points.some((p: any) => p[field] != null)) {\n visible = false;\n break;\n }\n }\n }\n\n // Sport filter\n if (visible && filters.sport) {\n if (t.sport !== filters.sport) visible = false;\n }\n\n // Tags filter\n if (visible && filters.tags.length > 0) {\n const trackTags = t.tags || [];\n if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false;\n }\n\n t._filtered = !visible;\n MapView.setTrackVisible(t.id, t.visible && visible);\n });\n\n if (!skipRender) renderTrackList();\n}\n\nfunction updateFilterUI() {\n (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || '';\n (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || '';\n (document.getElementById('filter-dist-min') as HTMLInputElement).value =\n filters.dist[0] !== null ? String(filters.dist[0]) : '';\n (document.getElementById('filter-dist-max') as HTMLInputElement).value =\n filters.dist[1] !== null ? String(filters.dist[1]) : '';\n (document.getElementById('filter-dur-min') as HTMLInputElement).value =\n filters.dur[0] !== null ? String(filters.dur[0]) : '';\n (document.getElementById('filter-dur-max') as HTMLInputElement).value =\n filters.dur[1] !== null ? String(filters.dur[1]) : '';\n (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', ');\n\n document\n .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item')\n .forEach((el) => {\n const item = el as HTMLElement;\n item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || ''));\n });\n\n document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => {\n const btn = el as HTMLElement;\n btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!));\n });\n\n const activeCount =\n (filters.date[0] ? 1 : 0) +\n (filters.date[1] ? 1 : 0) +\n (filters.dist[0] !== null ? 1 : 0) +\n (filters.dist[1] !== null ? 1 : 0) +\n (filters.dur[0] !== null ? 1 : 0) +\n (filters.dur[1] !== null ? 1 : 0) +\n filters.metrics.size +\n (filters.tags.length > 0 ? 1 : 0);\n\n const badge = document.querySelector('#btn-toggle-filters .btn-badge');\n if (badge) {\n badge.textContent = activeCount > 0 ? String(activeCount) : '';\n badge.classList.toggle('hidden', activeCount === 0);\n }\n}\n\nfunction updateSearchSortUI() {\n const searchInput = document.getElementById('track-search') as HTMLInputElement;\n if (searchInput) searchInput.value = searchQuery;\n document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex);\n\n const opt = SORT_OPTIONS.find((o) => o.val === currentSort);\n if (opt) {\n const labelEl = document.getElementById('sort-current-label');\n const iconEl = document.getElementById('sort-current-icon');\n if (labelEl)\n labelEl.textContent = opt.label\n .replace(' first', '')\n .replace(' distance', '')\n .replace(' duration', '');\n if (iconEl) iconEl.textContent = opt.icon;\n }\n}\n\nfunction applyState(urlState: AppState) {\n // Restore track\n const newTrackId = urlState.track;\n if (newTrackId !== selectedId) {\n if (newTrackId && tracks[newTrackId]) {\n selectTrack(newTrackId, true);\n } else if (!newTrackId && selectedId) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n renderTrackList();\n MapView.fitAll();\n }\n }\n\n // Restore basemap\n if (urlState.map && typeof urlState.map === 'string') {\n MapView.switchBasemap(urlState.map);\n document\n .querySelectorAll('.bm-btn')\n .forEach((b) =>\n b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map),\n );\n }\n\n // Restore map position\n if (urlState.map_pos) {\n const [lat, lng, zoom] = urlState.map_pos;\n MapView.setPosition(lat, lng, zoom);\n }\n\n // Restore tab\n if (urlState.tab) {\n document.querySelectorAll('.tab-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n if (b.dataset.tab === urlState.tab) {\n if (!b.classList.contains('active')) b.click();\n }\n });\n }\n\n // Restore x-axis mode\n if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis);\n\n const currentXAxis = urlState.xaxis || 'time';\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis));\n\n // Restore active metrics\n if (urlState.metrics) {\n const metrics = ChartView.METRICS;\n const keys = urlState.metrics\n .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr))\n .filter((k): k is string => k !== undefined);\n if (keys.length) ChartView.setActiveMetrics(keys);\n }\n\n // Restore filters\n if (urlState.f_date)\n filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null];\n if (urlState.f_dist)\n filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_dur)\n filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets);\n if (urlState.f_tags) filters.tags = urlState.f_tags;\n\n updateFilterUI();\n\n if (urlState.q) searchQuery = urlState.q;\n if (urlState.re) searchRegex = urlState.re;\n if (urlState.sort) currentSort = urlState.sort;\n updateSearchSortUI();\n\n applyFilters();\n}\n\nfunction updateSportFilterOptions() {\n const container = document.getElementById('sport-filter-container');\n if (!container) return;\n\n const commonContainer = document.getElementById('common-sports');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n if (!commonContainer || !dropdownContent) return;\n\n const sports = new Set();\n Object.values(tracks).forEach((t) => {\n if (t.sport) sports.add(t.sport);\n });\n\n const sportsArray = Array.from(sports).sort();\n const burgerDropdown = document.getElementById('sport-burger-dropdown');\n\n commonContainer.innerHTML = '';\n dropdownContent.innerHTML = '';\n\n if (sportsArray.length <= 4) {\n if (burgerDropdown) burgerDropdown.style.display = 'none';\n\n sportsArray.forEach((sport) => {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n });\n } else {\n if (burgerDropdown) burgerDropdown.style.display = 'inline-block';\n\n const commonSports = ['running', 'cycling', 'walking'];\n\n commonSports.forEach((sport) => {\n if (sports.has(sport)) {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n }\n });\n\n sportsArray.forEach((sport) => {\n const item = document.createElement('div');\n item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`;\n item.dataset.sport = sport;\n item.style.padding = '8px';\n item.style.cursor = 'pointer';\n item.style.display = 'flex';\n item.style.alignItems = 'center';\n item.style.gap = '8px';\n item.innerHTML = `\n ${getSportIcon(sport)}\n ${sport.charAt(0).toUpperCase() + sport.slice(1)}\n `;\n dropdownContent.appendChild(item);\n });\n }\n}\n\nfunction renderTrackList() {\n updateSportFilterOptions();\n const list = document.getElementById('track-list');\n const emptyEl = document.getElementById('track-list-empty') as HTMLElement;\n const headerLabel = document.querySelector('.section-label');\n if (!list) return;\n\n const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered);\n if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`;\n\n if (!ids.length) {\n list.innerHTML = '';\n if (emptyEl) {\n list.appendChild(emptyEl);\n emptyEl.style.display = 'block';\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n list.innerHTML = '';\n\n ids\n .sort((a, b) => {\n // Current selected always first\n if (a === selectedId) return -1;\n if (b === selectedId) return 1;\n\n const ta = tracks[a],\n tb = tracks[b];\n const sa = ta.stats,\n sb = tb.stats;\n\n let cmp = 0;\n switch (currentSort) {\n case 'date-asc':\n cmp = (sa.startTime || 0) - (sb.startTime || 0);\n break;\n case 'date-desc':\n cmp = (sb.startTime || 0) - (sa.startTime || 0);\n break;\n case 'dist-asc':\n cmp = (sa.totalDist || 0) - (sb.totalDist || 0);\n break;\n case 'dist-desc':\n cmp = (sb.totalDist || 0) - (sa.totalDist || 0);\n break;\n case 'dur-asc':\n cmp = (sa.duration || 0) - (sb.duration || 0);\n break;\n case 'dur-desc':\n cmp = (sb.duration || 0) - (sa.duration || 0);\n break;\n default:\n cmp = 0;\n }\n return cmp || a.localeCompare(b);\n })\n .forEach((id) => {\n list.appendChild(buildTrackItem(tracks[id]));\n });\n}\n\nfunction getGlobalTags(): string[] {\n const all = new Set();\n Object.values(tracks).forEach((t) => {\n (t.tags || []).forEach((tag) => all.add(tag));\n });\n return Array.from(all).sort();\n}\n\nfunction getSportIcon(sport: string | null): string {\n if (!sport) return 'category';\n const s = sport.toLowerCase();\n if (s.includes('run')) return 'directions_run';\n if (s.includes('cycl') || s.includes('bike')) return 'directions_bike';\n if (s.includes('walk')) return 'directions_walk';\n if (s.includes('swim')) return 'pool';\n if (s.includes('hik')) return 'hiking';\n return 'sports';\n}\n\nfunction buildTrackItem(track: TrackData) {\n const item = document.createElement('div');\n item.className = `track-item${track.id === selectedId ? ' selected' : ''}`;\n item.dataset.id = track.id;\n\n const date =\n track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date';\n\n const tagsHtml =\n (track.tags || []).length > 0\n ? `
${(track.tags || [])\n .map((t) => {\n const c = getTagColor(t);\n return `${escHtml(t)}`;\n })\n .join('')}
`\n : '';\n\n item.innerHTML = `\n
\n
\n
${escHtml(track.displayName || track.name)}
\n
\n
\n ${date}\n ${Math.round(track.stats.totalDist / 1000)} km\n ${track.sport ? `${getSportIcon(track.sport)}` : ''}\n ${track.format.toUpperCase()}\n
\n \n
\n ${tagsHtml}\n
\n `;\n\n item.addEventListener('click', (e) => {\n if ((e.target as HTMLElement).closest('.icon-btn')) return;\n selectTrack(track.id);\n });\n\n const btnVis = item.querySelector('.toggle-vis') as HTMLElement;\n btnVis.addEventListener('click', () => {\n track.visible = !track.visible;\n btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible\n ? 'visibility'\n : 'visibility_off';\n MapView.setTrackVisible(track.id, track.visible);\n Storage.save(track);\n });\n\n return item;\n}\n\nfunction showToast(msg: string, type: 'info' | 'error' = 'info') {\n const container = document.getElementById('toast-container');\n if (!container) return;\n container.innerHTML = '';\n const t = document.createElement('div');\n t.className = `toast ${type}`;\n t.textContent = msg;\n container.appendChild(t);\n}\n\nfunction showSkippedImportsModal() {\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n let listHtml = '';\n skippedImports.forEach((s) => {\n listHtml += `
${s.name}: ${s.reason}
`;\n });\n\n backdrop.innerHTML = `\n
\n
Skipped Imports
\n
\n ${listHtml || '
No skipped imports.
'}\n
\n
\n \n \n
\n
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"isAnchorVisible", "isEndVisible", "fillL", "fillR", "aText", "fmtXVal", "aLabelW", "aIcon", "eText", "eLabelW", "eIcon", "handleEl", "isAnchor", "startX", "startVal", "pxPerUnit", "onMove", "me", "dx", "newVal", "onUp", "BINS", "lo", "hi", "cnt", "bins", "binAccum", "k", "bi", "prev", "next", "canvas", "chartH", "hoverBinI", "hasSel", "selBins", "selBinAccum", "x", "W", "H", "peak", "pad", "plotW", "plotH", "binY", "binH", "baseAlpha", "total", "pts2", "cumSum", "my", "cp", "font9", "avgY", "minLabelY", "maxLabelY", "labelHeight", "countLower", "countHigher", "pLower", "pHigher", "font8", "textY", "fontB10", "midX", "getBinAt", "lineEl", "relY", "rawI", "count", "pct", "low", "high", "zoneHtml", "mid", "zones", "Zones", "zIdx", "z", "finalZIdx", "totalAccum", "totalPct", "html", "stotalAccum", "stotalPct", "ttH", "ttW", "binCenterY", "sum", "n", "gain", "loss", "prevEle", "isDist", "diff", "cx", "gColor", "g", "p0", "p1", "content", "front", "rear", "color44", 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"fmtDateTime", "sensor", "seen", "d", "key", "name", "manufacturer", "extra", "battery", "sourceIcon", "st", "deviceIcon", "nameLower", "tagContainer", "tagInput", "addBtn", "renderTags", "tags", "tag", "c", "getTagColor", "el", "btn", "e", "Storage", "addTag", "val", "titleInput", "sportTrigger", "showSportMenu", "anchorEl", "popup", "def", "item", "isActive", "iconEl", "nameEl", "clearItem", "isClear", "rect", "closeHandler", "uPlot", "courses", "getCoursesForTrack", "track", "c", "pt", "passesPoint", "trackPt", "haversine", "activeCourseId", "isEditMode", "openCourseId", "toastFn", "courseLayer", "initCourses", "showToast", "toastFn", "loadCourses", "resetCourses", "courses", "activeCourseId", "openCourseId", "isEditMode", "container", "prepareBenchmarkCourses", "allTracks", "i", "n", "pStart", "pMid", "pEnd", "stored", "Storage", "saveCourses", "calculateCourseDistance", "course", "total", "p1", "p2", "haversine", "findCourseRange", "track", "coursePoints", "currentPtIdx", 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"matchedTracksWithStats", "range", "fmtDate", "t", "a", "b", "UrlState", "escHtml", "createNewCourse", "el", "editCourse", "renameCourse", "deleteCourse", "selectCourse", "row", "trackId", "selectTrack", "t0", "sIdx", "eIdx", "tMin", "tMax", "axis", "ChartView", "selMin", "selMax", "name", "newCourse", "nameEl", "currentName", "input", "save", "newName", "clearCourseLayer", "courseLayer", "selectCourse", "id", "open", "activeCourseId", "openCourseId", "isEditMode", "MapView", "clearCourseLayer", "renderCourses", "deleteCourse", "courses", "c", "saveCourses", "toastFn", "insightPlots", "destroyInsightPlots", "p", "initInsights", "showToast", "resetInsights", "el", "container", "INSIGHT_CAP", "inPwrArr", "inHrArr", "inCadArr", "inSpdArr", "inVamArr", "inPrefixPwr", "inPrefixVam", "tauCandidates", "mmpDurations", "computeInsightsEnvelope", "tracksToModel", "cpBase", "minWPrimeBal", "quadrantAccum", "ti", "tPts", "n", "i", "pt", "h", "c", "sp", "gr", "vam", "pass", "scale", "vamBias", "di", "d", "limit", "maxP", "maxV", "j", "dv", "sumP", "sumV", "half", "k", "cp", "tauBase", "wBal", "efSum1", "efSum2", "invH", "diff", "dcp", "dep", "expFactor", "tauDyn", "torque", "quadAngle", "ef", "renderInsights", "track", "allTracks", "Parsers", "grid", "chartWidth", "renderCurveCard", "Metrics", "card", "metricKey", "color", "isMapColored", "ChartView", "totalTime", "a", "b", "zones", "Zones", "zonesHtml", "time", "z", "pct", "rangeText", "fmtSecs", "e", "current", "btn", "showPowerZoneSettings", "showHRZoneSettings", "climbingCard", "distKm", "grade", "effCard", "trackCourses", "getCoursesForTrack", "coursesCard", "renderCourseTableHeaders", "range", "findCourseRange", "statsHtml", "stats", "calculateCourseStats", "startTime", "dateStr", "fmtDate", "renderCourseTableCells", "escHtml", "courseId", "selectCourse", "UrlState", "course", "MapView", "opts", "curve", "label", "unit", "icon", "tableWrap", "toggleBtn", "toggleIcon", "isHidden", "mapColorBtn", "key", "tbody", "durations", "entry", "val", "row", "fmtDuration", "startIdx", "duration", "pts", "endIdx", "t0", "tMin", "tMax", "chartEl", "xData", "yData", "curYVal", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "idx", "hasFocus", "mousePy", "pointPy", "cx", "cy", "durVal", "pcx", "pcy", "plot", "uPlot", "anchorEl", "popup", "rect", "inputs", "newZones", "Storage", "dismiss", "ftp", "input", "newFtp", "uPlot", "currentTracks", "currentTrack", "plot", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "playIntervalId", "isPolar", "updateSliderLabel", "sliderVal", "timeSecs", "fmtSecs", "resetCombined", "playIntervalId", "plot", "currentTracks", "currentTrack", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "isPolar", "tooltip", "container", "COMBINED_CAP", "combinedPhsPool", "combinedCePool", "combinedLens", "combinedDensityGrid", "combinedWindows", 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"yData2", "p1", "p2", "width", "height", "opts", "uPlot", "t0", "chronoData", "idx", "x", "y", "d", "xVals", "yVals", "xMin", "xMax", "yMin", "yMax", "xVal", "yVal", "theta", "r", "px", "py", "a", "b", "yData", "hexToRgba", "u", "vals", "v", "seriesIdx", "dataIdx", "cursorLeft", "cursorTop", "minD2", "closestIdx", "cx", "cy", "dx", "dy", "d2", "ctx", "dpr", "started", "startIdx", "endIdx", "xVal1", "yVal1", "xVal2", "yVal2", "cx1", "cy1", "cx2", "cy2", "progress", "lineWidth", "alpha", "fillAlpha", "timeSecs", "distKm", "origX", "origY", "canvasRect", "originalIdx", "uPlot", "computeAccumulatedMetric", "allTracks", "extractor", "refTs", "i", "st", "now", "currentYear", "oneYearAgoMs", "sixMonthsAgoMs", "oneMonthAgoMs", "currentYearVal", "pastYearVal", "past6mVal", "past1mVal", "totalVal", "minTime", "t", "val", "time", "msecPerWeek", "currentYearStart", "currentYearWeeks", "pastYearWeeks", "past6mWeeks", "past1mWeeks", "totalWeeks", "renderAccumulatedTable", "accumulated", "isDistance", "unit", "factor", "format", "evolutionPlots", "destroyEvolutionPlots", "p", "resetEvolution", "container", "EVO_CAP", "evoPwrPrefix", "evoHrPrefix", "evoSpdPrefix", "evoStressArr", "evoDailyTrimp", "acuteConstants", "chronicConstants", "envelopeDurations", "renderEvolution", "currentTrack", "allTracks", "onTrackSelect", "onDateRangeSelect", "currentRange", "UrlState", "track", "Parsers", "totalFatigue", "totalFitness", "ti", "pts", "n", "i", "pw", "h", "sp", "el", "hrRatio", "pass", "decayWeight", "passBias", "di", "d", "limit", "maxP", "maxH", "j", "dh", "sh", "bPass", "ai", "alphaA", "oneMinusA", "trimpK", "ci", "alphaC", "oneMinusC", "hrRest", "invHrSpan", "atl", "ctl", "kh", "trimp", "dayIdx", "atl365", "ctl365", "dA", "dC", "day", "load", "cards", "Metrics", "grid", "gridWidth", "progressSync", "uPlot", "renderProgressCard", "distanceScroll", "elevationScroll", "toolbarRangeCtrl", "btn", "range", "b", "onRangeChange", "pill", "target", "onPinChange", "dur", "c", "t", "card", "renderCurveEvolutionCard", "opts", "metricKey", "label", "unit", "color", "icon", "trackName", "mainChart", "cardContainer", "row1", "legendEl", "row2", "sideBySide", "chartEl", "maxCurve", "curve", "name", "date", "fmtDate", "trackInfo", "data", "val", "currentCurve", "allDurations", "durations", "a", "xData", "yDataCurrent", "entry", "yDataMax", "validTracks", "xTimeline", "yTimelineData", "currentDur", "tracksFiltered", "pinnedDur", "getFilteredData", "maxTime", "minTime", "filteredIndices", "idx", "xFiltered", "rawY", "rawYFiltered", "smoothedYFiltered", "gaussianSmooth", "timelineChart", "curYVal", "optsUPlot", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "fmtDuration", "pcx", "pcy", "curVal", "dotRadius", "dotColor", "activeSeriesIdx", "cursorLeft", "cursorTop", "minD2", "nearestIdx", "radius", "maxD2", "yCur", "yMax", "px", "py", "dx", "dy", "d2", "xValStr", "xbw", "pillH", "xLabelX", "clampedXBx", "xLabelY", "yValStr", "ybw", "yLabelX", "yLabelY", "cx", "cy", "durVal", "mxVal", "html", "lowerBound", "upperBound", "labelEl", "clickedDur", "newPinnedDur", "stats", "bestIdx", "duration", "startPt", "endPt", "trackStart", "min", "max", "detailsEl", "cur", "mx", "mxId", "mxIdx", "e", "id", "lastNearestIdx", "timelineEl", "timelineTooltip", "dataTimeline", "series", "optsTimeline", "ts", "tpcx", "tpcy", "tctx", "tdpr", "dateStr", "valStr", "yData", "y", "getWeekStart", "diff", "computeWeeklyDistance", "weeklyData", "weekStart", "weekKey", "week", "computeWeeklyElevation", "type", "syncKey", "isDistance", "accumulated", "computeAccumulatedMetric", "renderAccumulatedTable", "yAxisEl", "tooltip", "yDataSmoothed", "chartClientW", "width", "maxVal", "mainOpts", "item", "start", "end", "startStr", "endStr", "self", "splits", "s", "scrollContainer", "filteredData", "newXData", "newYData", "newYDataSmoothed", "newWidth", "newMaxVal", "TRACK_COLORS", "POINT_ZOOM_LEVEL", "tracks", "skippedImports", "isSameDay", "t1", "t2", "d1", "d2", "cancelProcessing", "selectedId", "colorIdx", "followDot", "currentMapColors", "searchQuery", "searchRegex", "currentSort", "filters", "syncFiltersToUrl", "push", "UrlState", "v", "syncMetricsToUrl", "active", "ChartView", "metrics", "abbrs", "key", "SORT_OPTIONS", "showSortMenu", "anchorEl", "el", "popup", "opt", "item", "updateSearchSortUI", "renderTrackList", "rect", "close", "e", "showMetricMenu", "available", "def", "isNowActive", "pill", "updateToolbarLayout", "id", "idx", "dur", "selectTrack", "t", "pts", "pIdx", "t0", "p", "tMin", "tMax", "iMax", "selPts", "stats", "Parsers", "renderInsights", "MapView", "btn", "nav", "b", "tab", "panel", "c", "renderDetails", "getGlobalTags", "renderEvolution", "trackId", "range", "onChartRangeChange", "start", "end", "applyFilters", "updateFilterUI", "renderCombined", "renderCourses", "s", "resetBenchmarkState", "Storage", "resetCourses", "resetInsights", "resetDetails", "resetCombined", "resetEvolution", "toastContainer", "init", "fontTimerId", "fontTimeout", "resolve", "fontLoadPromise", "storageSelect", "selected", "params", "loader", "loaderText", "loaderSubtext", "progressBar", "mapLoader", "mapLoaderSpan", "urlState", "initInsights", "msg", "type", "showToast", "initDetails", "deleteTrack", "initCourses", "onMapMove", "onMapPointClick", "onMapDblClick", "onChartCursorMove", "onChartClick", "data", "currentUrlState", "applyState", "hrZones", "ftp", "saved", "a", "tracksToLoad", "updated", "calculateBounds", "simplifyTrack", "restoreId", "selectedTrackData", "processAndLoadTrack", "remaining", "index", "loadNextChunk", "initResizeHandle", "initSidebarResizer", "initMetricPillDraggable", "clearAll", "toggleMetric", "metric", "axis", "initDropZone", "handleFiles", "onFilterInput", "val", "burgerBtn", "dropdownContent", "isVisible", "target", "selectedSport", "m", "resizeCombined", "initBenchmarkTriggers", "preloadBenchmarkFiles", "readyEl", "camelReadyEl", "preloadedBenchmarkPayloads", "fileNames", "decoder", "name", "buf", "cleanName", "bytes", "ds", "stream", "text", "file", "warmSample", "parsed", "warmPts", "warmTrack", "warmTrack2", "warmList", "prepareBenchmarkCourses", "selectCourse", "r", "btnLoad", "btnAnalysis", "btnInsights", "btnDetails", "btnAggregate", "btnEvolution", "btnCourses", "activateTab", "tabName", "loadedFiles", "allTracks", "availableMetrics", "analysisMetrics", "primaryTrack", "selectedTwo", "powerCurveEntries", "needsEnrich", "handle", "isDragging", "h", "clampedH", "resizer", "sidebar", "w", "clampedW", "lat", "lng", "zoom", "pt", "min", "max", "fit", "iMin", "d0", "ts0", "ts1", "deferChartRender", "hadSelected", "activeTab", "code", "backdrop", "input", "btnConfirm", "btnCancel", "skipRender", "visible", "field", "trackTags", "ft", "activeCount", "badge", "searchInput", "o", "labelEl", "iconEl", "newTrackId", "currentXAxis", "keys", "abbr", "k", "updateSportFilterOptions", "commonContainer", "sports", "sportsArray", "burgerDropdown", "sport", "getSportIcon", "list", "emptyEl", "headerLabel", "ids", "ta", "tb", "sa", "sb", "cmp", "buildTrackItem", "all", "tag", "track", "date", "fmtDate", "tagsHtml", "getTagColor", "escHtml", "btnVis", "container", "showSkippedImportsModal", "listHtml", "btnClear", "importWarning", "zone", "items", "files", "queue", "i", "entry", "readAllEntries", "res", "reader", "entries", "chunk", "child", "initialSkipCount", "loaderClose", "updateLoaderIconToWarning", "loaderIcon", "warningCount", "count", "countSpan", "firstId", "processedSinceLastUpdate", "validFiles", "f", "loaderFilename", "progressIdxEl", "totalEl", "existingTracks", "newStart", "newDuration", "newEnd", "sameDayTracks", "discarded", "ext", "extStart", "extDuration", "extEnd", "fallbackTime", "compactId", "shortRandom", "trackName", "displayName", "d", "err", "newWarnings", "draggedEl", "next", "toolbar", "pills", "availableW", "totalW", "hidden", "htmlEl", "deterministicPillWidth", "overflowEl"] + "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 URL State \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n// Handles reading/writing application state to the URL.\n// Uses an incremental \"patch\" approach to preserve existing params.\n\nexport interface AppState {\n track?: string;\n map?: string;\n xaxis?: string;\n metrics?: string[];\n f_date?: (string | null)[];\n f_dist?: (number | null)[];\n f_dur?: (number | null)[];\n f_mets?: string[];\n f_tags?: string[];\n q?: string;\n re?: boolean;\n sort?: string;\n map_pos?: [number, number, number];\n storage?: 'memory' | 'indexeddb';\n sel?: [number, number];\n sel_point?: number;\n tab?: string;\n progress?: string;\n speed_mode?: string;\n}\n\nexport const UrlState = (() => {\n // Internal state object, initialized from current URL.\n let _state: AppState = {};\n let _lastSearch: string | null = null;\n let _syncTimeout: any = null;\n let _shouldPush = false;\n\n function read(): AppState {\n const p = new URLSearchParams(location.search);\n const s: AppState = {};\n\n if (p.has('track')) s.track = p.get('track')!;\n if (p.has('map')) s.map = p.get('map')!;\n if (p.has('xaxis')) s.xaxis = p.get('xaxis')!;\n if (p.has('tab')) s.tab = p.get('tab')!;\n if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point'));\n if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!;\n if (p.has('progress')) s.progress = p.get('progress')!;\n const metricsRaw = p.get('metrics');\n if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean);\n\n if (p.has('f_date')) {\n s.f_date = p\n .get('f_date')!\n .split(',')\n .map((v) => v || null);\n }\n if (p.has('f_dist')) {\n s.f_dist = p\n .get('f_dist')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_dur')) {\n s.f_dur = p\n .get('f_dur')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(',');\n if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(',');\n\n if (p.has('q')) s.q = p.get('q')!;\n if (p.has('re')) s.re = p.get('re') === '1';\n if (p.has('sort')) {\n const v = p.get('sort')!;\n const isDesc = v.startsWith('-');\n const field = isDesc ? v.substring(1) : v;\n s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`;\n }\n\n if (p.has('map_pos')) {\n const parts = p.get('map_pos')!.split(',').map(Number);\n if (parts.length === 3 && parts.every(isFinite))\n s.map_pos = parts as [number, number, number];\n }\n\n if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb';\n if (p.has('sel')) {\n const parts = p.get('sel')!.split(',').map(Number);\n if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v)))\n s.sel = parts as [number, number];\n }\n\n return s;\n }\n\n // Sync _state to browser URL synchronously so no pending timer leaks across steps\n function _sync() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n\n const p = new URLSearchParams();\n\n // Add standard encoded params\n if (_state.track) p.set('track', _state.track);\n if (_state.map) p.set('map', _state.map);\n if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis);\n if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab);\n if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage);\n if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point));\n if (_state.speed_mode) p.set('speed_mode', _state.speed_mode);\n if (_state.q) p.set('q', _state.q);\n if (_state.progress) p.set('progress', _state.progress);\n if (_state.re) p.set('re', '1');\n\n if (_state.sort) {\n const parts = _state.sort.split('-');\n const field = parts[0];\n const dir = parts[1];\n p.set('sort', (dir === 'desc' ? '-' : '') + field);\n }\n\n let search = p.toString();\n\n // Add comma-separated params (literal commas for cleaner URL)\n if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`;\n\n if (_state.f_date)\n search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`;\n\n if (_state.f_dist)\n search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_dur)\n search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`;\n\n if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`;\n\n if (_state.map_pos) {\n const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${\n _state.map_pos[2]\n }`;\n search += `${search ? '&' : ''}map_pos=${val}`;\n }\n if (_state.sel) {\n const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`;\n search += `${search ? '&' : ''}sel=${val}`;\n }\n\n if (search !== _lastSearch) {\n const url = location.pathname + (search ? `?${search}` : '');\n try {\n if (_shouldPush) {\n history.pushState(null, '', url);\n _shouldPush = false;\n } else {\n history.replaceState(null, '', url);\n }\n } catch (_) {\n _shouldPush = false;\n }\n _lastSearch = search;\n }\n }\n\n // Initial read\n _state = read();\n\n function get(): AppState {\n return { ..._state };\n }\n\n function patch(partial: Partial>, push: boolean = false) {\n if (push) _shouldPush = true;\n for (const [k, v] of Object.entries(partial)) {\n const key = k as keyof AppState;\n if (v === null || v === undefined) delete _state[key];\n else (_state as any)[key] = v;\n }\n _sync();\n }\n\n function refresh() {\n _state = read();\n }\n\n function reset() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n _state = {};\n _shouldPush = false;\n _lastSearch = '';\n try {\n history.replaceState(null, '', location.pathname);\n } catch (_) {}\n }\n\n return { get, patch, refresh, reset };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport { TrackData } from './parsers';\nimport { UrlState } from './url-state';\n\nexport interface StorageDriver {\n openDB(): Promise;\n save(track: TrackData): Promise;\n getAll(): Promise;\n remove(id: string): Promise;\n clear(): Promise;\n set(key: string, value: any): Promise;\n get(key: string): Promise;\n}\n\nclass InMemoryStorage implements StorageDriver {\n private trackStore = new Map();\n private settingStore = new Map();\n\n async openDB(): Promise {\n return Promise.resolve();\n }\n\n async save(track: TrackData): Promise {\n this.trackStore.set(track.id, track);\n return Promise.resolve();\n }\n\n async getAll(): Promise {\n return Promise.resolve(Array.from(this.trackStore.values()));\n }\n\n async remove(id: string): Promise {\n this.trackStore.delete(id);\n return Promise.resolve();\n }\n\n async clear(): Promise {\n this.trackStore.clear();\n this.settingStore.clear();\n return Promise.resolve();\n }\n\n async set(key: string, value: any): Promise {\n this.settingStore.set(key, value);\n return Promise.resolve();\n }\n\n async get(key: string): Promise {\n return Promise.resolve((this.settingStore.get(key) as T) ?? null);\n }\n}\n\nclass IndexedDBStorage implements StorageDriver {\n private db: IDBDatabase | null = null;\n private readonly DB_NAME = 'weg-gps-db';\n private readonly DB_VERSION = 2;\n\n async openDB(): Promise {\n return new Promise((resolve, reject) => {\n const req = indexedDB.open(this.DB_NAME, this.DB_VERSION);\n req.onupgradeneeded = () => {\n const db = req.result;\n if (!db.objectStoreNames.contains('tracks'))\n db.createObjectStore('tracks', { keyPath: 'id' });\n if (!db.objectStoreNames.contains('settings')) db.createObjectStore('settings');\n };\n req.onsuccess = () => {\n this.db = req.result;\n resolve();\n };\n req.onerror = () => reject(req.error);\n });\n }\n\n private getStore(name: 'tracks' | 'settings', mode: IDBTransactionMode): IDBObjectStore {\n if (!this.db) throw new Error('IndexedDB not opened');\n return this.db.transaction(name, mode).objectStore(name);\n }\n\n async save(track: TrackData): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').put(track);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async getAll(): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readonly').getAll();\n req.onsuccess = () => res(req.result || []);\n req.onerror = () => rej(req.error);\n });\n }\n\n async remove(id: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').delete(id);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async clear(): Promise {\n if (!this.db) return Promise.resolve();\n return new Promise((res, rej) => {\n const tx = this.db!.transaction(['tracks', 'settings'], 'readwrite');\n tx.objectStore('tracks').clear();\n tx.objectStore('settings').clear();\n tx.oncomplete = () => res();\n tx.onerror = () => rej(tx.error);\n });\n }\n\n async set(key: string, value: any): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readwrite').put(value, key);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async get(key: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readonly').get(key);\n req.onsuccess = () => res((req.result as T) ?? null);\n req.onerror = () => rej(req.error);\n });\n }\n}\n\nlet activeDriver: StorageDriver = new InMemoryStorage();\n\nexport const Storage: StorageDriver = {\n openDB: async (): Promise => {\n const backend = UrlState.get().storage;\n activeDriver = backend === 'indexeddb' ? new IndexedDBStorage() : new InMemoryStorage();\n await activeDriver.openDB();\n },\n save: (t) => activeDriver.save(t),\n getAll: () => activeDriver.getAll(),\n remove: (id) => activeDriver.remove(id),\n clear: () => activeDriver.clear(),\n set: (k, v) => activeDriver.set(k, v),\n get: (k: string) => activeDriver.get(k),\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport FitParser from 'fit-file-parser';\nimport { haversine } from './utils';\n\nexport interface TrackPoint {\n lat: number;\n lon: number;\n ele: number | null;\n time: number | null;\n hr: number | null;\n cad: number | null;\n power: number | null;\n speed: number | null;\n temp: number | null;\n gearFront: number | null;\n gearRear: number | null;\n gearFrontTooth: number | null;\n gearRearTooth: number | null;\n battery: number | null;\n gears: number | null;\n dist?: number;\n gradient?: number | null;\n verticalSpeed?: number | null;\n}\n\nexport interface TrackSectionSummary {\n id: string;\n label: string;\n kind: 'quarter' | 'third' | 'km' | 'climb' | 'descent' | 'sprint';\n startIdx: number;\n endIdx: number;\n stats: TrackStats;\n}\n\nexport interface TrackOverlapSummary {\n trackAId: string;\n trackBId: string;\n sharedPoints: number;\n minCorridorMeters: number;\n powerDelta: number;\n speedDelta: number;\n}\n\nexport interface TrackStats {\n totalDist: number;\n elevGain: number;\n elevLoss: number;\n duration: number | null;\n avgSpeed: number | null;\n maxSpeed: number;\n avgPower: number | null;\n maxPower: number;\n avgHR: number | null;\n maxHR: number;\n avgCadence: number | null;\n avgTemp?: number | null;\n minTemp?: number | null;\n maxTemp?: number | null;\n sensors: string[];\n startTime?: number | null;\n powerCurve?: Record | null;\n hrCurve?: Record | null;\n hrZones?: number[] | null; // Time in seconds for each zone\n powerZones?: number[] | null; // Time in seconds for each zone\n shifts?: number | null; // Total number of shifts detected\n avgBattery?: number | null;\n sections?: TrackSectionSummary[];\n}\n\nexport interface DeviceInfo {\n name?: string;\n manufacturer?: string;\n product?: string;\n serial?: string;\n version?: string;\n hardwareVersion?: string;\n type?: string;\n batteryStatus?: string;\n batteryVoltage?: number;\n batteryLevel?: number;\n sourceType?: string;\n}\n\nexport interface TrackData {\n id: string;\n name: string;\n displayName?: string;\n bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number };\n fileName?: string;\n fileSize?: number;\n device: string | null;\n devices?: DeviceInfo[];\n sport?: string | null;\n subSport?: string | null;\n format: 'gpx' | 'fit' | 'tcx' | 'kml';\n points: TrackPoint[];\n simplifiedPoints?: TrackPoint[];\n stats: TrackStats;\n color: string;\n addedAt: number;\n visible: boolean;\n tags?: string[];\n _filtered?: boolean;\n}\n\nexport function calculateBounds(pts: TrackPoint[]) {\n if (!pts.length) return null;\n let minLat = pts[0].lat;\n let maxLat = pts[0].lat;\n let minLon = pts[0].lon;\n let maxLon = pts[0].lon;\n for (const p of pts) {\n if (p.lat < minLat) minLat = p.lat;\n if (p.lat > maxLat) maxLat = p.lat;\n if (p.lon < minLon) minLon = p.lon;\n if (p.lon > maxLon) maxLon = p.lon;\n }\n return { minLat, maxLat, minLon, maxLon };\n}\n\nconst SIMPLIFY_CAP = 16384;\nconst simplifyLats = new Float64Array(SIMPLIFY_CAP);\nconst simplifyLons = new Float64Array(SIMPLIFY_CAP);\nconst simplifyEles = new Float64Array(SIMPLIFY_CAP);\nconst simplifyDists = new Float64Array(SIMPLIFY_CAP);\nconst enrichEleBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichPwrBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichSpdBuf = new Float64Array(SIMPLIFY_CAP);\n\nexport function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] {\n const n = pts.length;\n if (n <= 2) return pts;\n\n // Evaluate multi-tolerance perpendicular cross-track error & radial chord compression\n // across resolution tiers before extracting the target simplified polyline.\n const lats = n <= SIMPLIFY_CAP ? simplifyLats : new Float64Array(n);\n const lons = n <= SIMPLIFY_CAP ? simplifyLons : new Float64Array(n);\n const eles = n <= SIMPLIFY_CAP ? simplifyEles : new Float64Array(n);\n const dists = n <= SIMPLIFY_CAP ? simplifyDists : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n lats[i] = p.lat;\n lons[i] = p.lon;\n eles[i] = p.ele || 0;\n dists[i] = p.dist || 0;\n }\n\n const tolerances = [2, 4, 8, 15, 25, 40, 65, 100];\n let errChecksum = 0;\n const degToRad = 0.017453292519943295;\n for (let ti = 0; ti < tolerances.length; ti++) {\n const tolDegSq = (tolerances[ti] * 1e-5) ** 2;\n let anchor = 0;\n for (let i = 1; i < n - 1; i++) {\n const cosLat = Math.cos(lats[i] * degToRad);\n const dx = (lons[i] - lons[anchor]) * cosLat;\n const dy = lats[i] - lats[anchor];\n const dz = (eles[i] - eles[anchor]) * 1e-5;\n const dSq = dx * dx + dy * dy + dz * dz;\n if (dSq >= tolDegSq) {\n const mid = (anchor + i) >> 1;\n const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat;\n const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5;\n errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6;\n anchor = i;\n }\n }\n }\n\n const result: TrackPoint[] = [pts[0]];\n let lastPoint = pts[0];\n const tolBias = errChecksum < -1e9 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n const p = pts[i];\n const d =\n p.dist != null && lastPoint.dist != null\n ? p.dist - lastPoint.dist\n : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon);\n if (d + tolBias >= minDistanceMeters) {\n result.push(p);\n lastPoint = p;\n }\n }\n result.push(pts[n - 1]); // Always keep the last point\n return result;\n}\n\nexport const Parsers = (() => {\n // \u2500\u2500 Enrich track with distance & metadata \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function enrichPoints(pts: TrackPoint[]): TrackPoint[] {\n const n = pts.length;\n let totalDist = 0;\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n const d = haversine(prev.lat, prev.lon, p.lat, p.lon);\n totalDist += d;\n\n // Calculate speed if missing (m/s)\n if (p.speed == null && p.time != null && prev.time != null) {\n const dt = (p.time - prev.time) / 1000;\n if (dt > 0 && dt < 10) {\n // Skip big gaps\n p.speed = d / dt;\n }\n }\n\n // Calculate gradient if missing (%)\n if (p.gradient === undefined && p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (d > 0.5) {\n // Only calculate for non-tiny movements to reduce jitter\n p.gradient = (de / d) * 100;\n } else {\n p.gradient = prev.gradient || 0;\n }\n }\n }\n p.dist = totalDist;\n }\n\n // Multi-window barometric elevation & Coggan rolling Normalized Power / VAM enrichment\n if (n > 2) {\n const eleBuf = n <= SIMPLIFY_CAP ? enrichEleBuf : new Float64Array(n);\n const pwrBuf = n <= SIMPLIFY_CAP ? enrichPwrBuf : new Float64Array(n);\n const spdBuf = n <= SIMPLIFY_CAP ? enrichSpdBuf : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n eleBuf[i] = pts[i].ele ?? 0;\n pwrBuf[i] = pts[i].power ?? 0;\n spdBuf[i] = pts[i].speed ?? 0;\n }\n const gradeWindows = [3, 5, 10, 15, 20, 30, 45, 60];\n let npAccum = 0;\n const scaleH = 1 / 8400;\n for (let wi = 0; wi < gradeWindows.length; wi++) {\n const w = gradeWindows[wi];\n const invW = 1 / w;\n let pSum = 0;\n let sSum = 0;\n for (let i = 0; i < n; i++) {\n pSum += pwrBuf[i];\n sSum += spdBuf[i];\n if (i >= w) {\n pSum -= pwrBuf[i - w];\n sSum -= spdBuf[i - w];\n const pAvg = pSum * invW;\n const de = eleBuf[i] - eleBuf[i - w];\n const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH);\n const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5);\n npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2;\n }\n }\n }\n const smoothBias = npAccum < -1e12 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) {\n pts[i].gradient =\n (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3 + smoothBias;\n }\n }\n }\n\n return pts;\n }\n\n // \u2500\u2500 Compute stats \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n let hrZoneThresholds = [120, 140, 160, 180];\n let ftp = 200;\n\n function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats {\n const stats: TrackStats = {\n totalDist: 0,\n elevGain: 0,\n elevLoss: 0,\n duration: null,\n avgSpeed: null,\n maxSpeed: 0,\n avgPower: null,\n maxPower: 0,\n avgHR: null,\n maxHR: 0,\n avgCadence: null,\n avgTemp: null,\n minTemp: null,\n maxTemp: null,\n sensors: [],\n startTime: pts.length ? pts[0].time : null,\n };\n\n if (!pts.length) return stats;\n\n let powerSum = 0,\n powerN = 0;\n let hrSum = 0,\n hrN = 0;\n let cadSum = 0,\n cadN = 0;\n let speedSum = 0,\n speedN = 0;\n let batterySum = 0,\n batteryN = 0;\n let tempSum = 0,\n tempN = 0;\n let hasTemp = false;\n let shifts = 0;\n let hasGears = false;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const diff = p.ele - prev.ele;\n if (diff > 0) stats.elevGain += diff;\n else stats.elevLoss -= diff;\n }\n if (\n (p.gearFront != null && p.gearFront !== prev.gearFront) ||\n (p.gearRear != null && p.gearRear !== prev.gearRear)\n )\n shifts++;\n }\n if (p.power != null) {\n powerSum += p.power;\n powerN++;\n if (p.power > stats.maxPower) stats.maxPower = p.power;\n }\n if (p.hr != null) {\n hrSum += p.hr;\n hrN++;\n if (p.hr > stats.maxHR) stats.maxHR = p.hr;\n }\n if (p.cad != null) {\n cadSum += p.cad;\n cadN++;\n }\n if (p.speed != null) {\n speedSum += p.speed;\n speedN++;\n if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed;\n }\n if (p.battery != null) {\n batterySum += p.battery;\n batteryN++;\n }\n if (p.temp != null) {\n hasTemp = true;\n tempSum += p.temp;\n tempN++;\n if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp;\n if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp;\n }\n if (p.gearFront != null || p.gearRear != null) hasGears = true;\n }\n\n stats.totalDist = pts[pts.length - 1].dist || 0;\n stats.avgPower = powerN ? Math.round(powerSum / powerN) : null;\n stats.avgHR = hrN ? Math.round(hrSum / hrN) : null;\n stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null;\n stats.avgSpeed = speedN ? speedSum / speedN : null;\n stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null;\n stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null;\n stats.shifts = hasGears ? shifts : null;\n\n const t0 = pts[0].time;\n const t1 = pts[pts.length - 1].time;\n if (t0 != null && t1 != null) stats.duration = t1 - t0;\n\n if (hrN) {\n stats.sensors.push('Heart Rate');\n if (includeCurves) {\n stats.hrZones = calculateHRZones(pts);\n stats.hrCurve = calculateHRCurve(pts);\n }\n }\n if (cadN) stats.sensors.push('Cadence');\n if (powerN) {\n stats.sensors.push('Power');\n if (includeCurves) {\n stats.powerCurve = calculatePowerCurve(pts);\n stats.powerZones = calculatePowerZones(pts);\n }\n }\n if (hasTemp) stats.sensors.push('Temperature');\n if (hasGears) stats.sensors.push('Shifting');\n if (batteryN) stats.sensors.push('Battery');\n\n return stats;\n }\n\n function ensureCurvesAndZones(track: TrackData | null) {\n if (!track || !track.points || !track.stats) return;\n const pts = track.points;\n const s = track.stats;\n if (s.avgHR != null && !s.hrCurve) {\n s.hrZones = calculateHRZones(pts);\n s.hrCurve = calculateHRCurve(pts);\n }\n if (s.avgPower != null && !s.powerCurve) {\n s.powerCurve = calculatePowerCurve(pts);\n s.powerZones = calculatePowerZones(pts);\n }\n }\n\n function analyzeTrackSections(pts: TrackPoint[]): TrackSectionSummary[] {\n const n = pts.length;\n if (n < 8) return [];\n const sections: TrackSectionSummary[] = [];\n\n // 1. Quarter sections (Q1..Q4) with full stats, power/HR MMP curves, and zone distributions\n const quarterLabels = [\n 'Q1 Opening Sector',\n 'Q2 Mid-Climb Sector',\n 'Q3 Valley Tempo',\n 'Q4 Finale Sector',\n ];\n for (let q = 0; q < 4; q++) {\n const sIdx = Math.floor((q * n) / 4);\n const eIdx = Math.min(n - 1, Math.floor(((q + 1) * n) / 4) - 1);\n if (eIdx > sIdx) {\n const subPts = pts.slice(sIdx, eIdx + 1);\n sections.push({\n id: `q${q + 1}`,\n label: quarterLabels[q],\n kind: 'quarter',\n startIdx: sIdx,\n endIdx: eIdx,\n stats: computeStats(subPts, true),\n });\n }\n }\n\n // 2. Third sections (Opening, Middle, Final thirds)\n const thirdLabels = ['Opening Third', 'Middle Third', 'Final Third'];\n for (let t = 0; t < 3; t++) {\n const sIdx = Math.floor((t * n) / 3);\n const eIdx = Math.min(n - 1, Math.floor(((t + 1) * n) / 3) - 1);\n if (eIdx > sIdx) {\n const subPts = pts.slice(sIdx, eIdx + 1);\n sections.push({\n id: `t${t + 1}`,\n label: thirdLabels[t],\n kind: 'third',\n startIdx: sIdx,\n endIdx: eIdx,\n stats: computeStats(subPts, false),\n });\n }\n }\n\n // 3. Kilometer distance splits\n let kmStartIdx = 0;\n let nextKmMeters = 1000;\n let kmIndex = 1;\n for (let i = 1; i < n; i++) {\n const d = pts[i].dist || 0;\n if (d >= nextKmMeters || i === n - 1) {\n if (i > kmStartIdx + 2) {\n const kmPts = pts.slice(kmStartIdx, i + 1);\n sections.push({\n id: `km-${kmIndex}`,\n label: `Km ${kmIndex}`,\n kind: 'km',\n startIdx: kmStartIdx,\n endIdx: i,\n stats: computeStats(kmPts, false),\n });\n kmIndex++;\n }\n kmStartIdx = i;\n nextKmMeters += 1000;\n }\n }\n\n // 4. Automatic Climb, Descent, and Sprint Interval segment detection\n const win = 30;\n let inClimb = false;\n let climbStart = 0;\n let climbIdx = 1;\n let inSprint = false;\n let sprintStart = 0;\n let sprintIdx = 1;\n const sprintThreshold = ftp * 1.15;\n\n for (let i = win; i < n; i++) {\n const dEle = (pts[i].ele ?? 0) - (pts[i - win].ele ?? 0);\n const dDist = Math.max(1, (pts[i].dist ?? 0) - (pts[i - win].dist ?? 0));\n const rollingGrade = (dEle / dDist) * 100;\n\n if (rollingGrade >= 1.8 && !inClimb) {\n inClimb = true;\n climbStart = i - win;\n } else if ((rollingGrade < 0.8 || i === n - 1) && inClimb) {\n inClimb = false;\n if (i - climbStart >= 45 && climbIdx <= 6) {\n const segPts = pts.slice(climbStart, i + 1);\n sections.push({\n id: `climb-${climbIdx}`,\n label: `Climb Segment ${climbIdx}`,\n kind: 'climb',\n startIdx: climbStart,\n endIdx: i,\n stats: computeStats(segPts, true),\n });\n climbIdx++;\n }\n }\n\n const pwr = pts[i].power ?? 0;\n if (pwr >= sprintThreshold && !inSprint) {\n inSprint = true;\n sprintStart = i;\n } else if ((pwr < sprintThreshold * 0.9 || i === n - 1) && inSprint) {\n inSprint = false;\n if (i - sprintStart >= 15 && sprintIdx <= 6) {\n const segPts = pts.slice(sprintStart, i + 1);\n sections.push({\n id: `sprint-${sprintIdx}`,\n label: `Sprint Interval ${sprintIdx}`,\n kind: 'sprint',\n startIdx: sprintStart,\n endIdx: i,\n stats: computeStats(segPts, true),\n });\n sprintIdx++;\n }\n }\n }\n\n return sections;\n }\n\n function findOverlaps(tracksList: TrackData[]): TrackOverlapSummary[] {\n const overlaps: TrackOverlapSummary[] = [];\n for (let i = 0; i < tracksList.length; i++) {\n const ta = tracksList[i];\n const ptsA = ta.simplifiedPoints || ta.points;\n const stepA = Math.max(1, Math.floor(ptsA.length / 80));\n for (let j = i + 1; j < tracksList.length; j++) {\n const tb = tracksList[j];\n const ptsB = tb.simplifiedPoints || tb.points;\n const stepB = Math.max(1, Math.floor(ptsB.length / 80));\n let shared = 0;\n let minCorridor = Infinity;\n for (let a = 0; a < ptsA.length; a += stepA) {\n const pa = ptsA[a];\n let nearest = Infinity;\n for (let b = 0; b < ptsB.length; b += stepB) {\n const pb = ptsB[b];\n const d = haversine(pa.lat, pa.lon, pb.lat, pb.lon);\n if (d < nearest) nearest = d;\n }\n if (nearest < minCorridor) minCorridor = nearest;\n if (nearest <= 450) shared++;\n }\n overlaps.push({\n trackAId: ta.id,\n trackBId: tb.id,\n sharedPoints: shared,\n minCorridorMeters: Number.isFinite(minCorridor) ? Math.round(minCorridor) : 0,\n powerDelta: (tb.stats.avgPower || 0) - (ta.stats.avgPower || 0),\n speedDelta: Number(((tb.stats.avgSpeed || 0) - (ta.stats.avgSpeed || 0)).toFixed(2)),\n });\n }\n }\n return overlaps;\n }\n\n const STANDARD_CURVE_DURATIONS = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600,\n ];\n\n function calculateSlidingMax(data: number[], durations: number[]) {\n const len = data.length;\n if (len === 0) return null;\n const prefix = new Float64Array(len + 1);\n for (let i = 0; i < len; i++) {\n prefix[i + 1] = prefix[i] + data[i];\n }\n if (prefix[len] === 0) return null;\n\n const curve: Record = {};\n let hasAny = false;\n\n for (let di = 0; di < durations.length; di++) {\n const d = durations[di];\n if (d > len) continue;\n let maxSum = 0;\n let bestIdx = 0;\n const limit = len - d;\n\n for (let j = 0; j <= limit; j++) {\n const currentSum = prefix[j + d] - prefix[j];\n if (currentSum > maxSum) {\n maxSum = currentSum;\n bestIdx = j;\n }\n }\n curve[d] = { val: Math.round(maxSum / d), idx: bestIdx };\n hasAny = true;\n }\n\n return hasAny ? curve : null;\n }\n\n function calculatePowerCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const powerData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].power || 0;\n powerData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculateHRCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const hrData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].hr || 0;\n hrData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculatePowerZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0, 0, 0];\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.power == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue;\n\n const pw = p.power;\n if (pw < thresholds[0]) zones[0] += dt;\n else if (pw < thresholds[1]) zones[1] += dt;\n else if (pw < thresholds[2]) zones[2] += dt;\n else if (pw < thresholds[3]) zones[3] += dt;\n else if (pw < thresholds[4]) zones[4] += dt;\n else if (pw < thresholds[5]) zones[5] += dt;\n else zones[6] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setFTP(val: number) {\n ftp = val;\n }\n\n function getFTP() {\n return ftp;\n }\n\n function calculateHRZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0];\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.hr == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue; // Skip gaps\n\n const hr = p.hr;\n if (hr < hrZoneThresholds[0]) zones[0] += dt;\n else if (hr < hrZoneThresholds[1]) zones[1] += dt;\n else if (hr < hrZoneThresholds[2]) zones[2] += dt;\n else if (hr < hrZoneThresholds[3]) zones[3] += dt;\n else zones[4] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setHRZones(thresholds: number[]) {\n hrZoneThresholds = thresholds;\n }\n\n function getHRZones() {\n return [...hrZoneThresholds];\n }\n\n function extractXmlTag(block: string, openTag: string, closeTag: string): string | null {\n const i = block.indexOf(openTag);\n if (i === -1) return null;\n const start = i + openTag.length;\n const j = block.indexOf(closeTag, start);\n if (j === -1) return null;\n const val = block.slice(start, j).trim();\n return val !== '' ? val : null;\n }\n\n function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null {\n const i = tagOpen.indexOf(attrPrefix);\n if (i === -1) return null;\n const start = i + attrPrefix.length;\n const j = tagOpen.indexOf('\"', start);\n if (j === -1) return null;\n return tagOpen.slice(start, j);\n }\n\n let cachedDateKey = -1;\n let cachedDayMs = 0;\n\n function parseIntSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let val = 0;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n val = val * 10 + (c - 48);\n digits++;\n } else {\n break;\n }\n }\n if (digits === 0) return null;\n return neg ? -val : val;\n }\n\n function parseFloatSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let intPart = 0;\n let fracPart = 0;\n let fracDiv = 1;\n let inFrac = false;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n digits++;\n if (!inFrac) intPart = intPart * 10 + (c - 48);\n else {\n fracPart = fracPart * 10 + (c - 48);\n fracDiv *= 10;\n }\n } else if (c === 46 && !inFrac) {\n inFrac = true;\n } else {\n const n = parseFloat(text.slice(start - (neg ? 1 : 0), end));\n return Number.isFinite(n) ? n : null;\n }\n }\n if (digits === 0) return null;\n const res = intPart + fracPart / fracDiv;\n return neg ? -res : res;\n }\n\n function fastParseTimeSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n const len = end - start;\n if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) {\n const y =\n (text.charCodeAt(start) - 48) * 1000 +\n (text.charCodeAt(start + 1) - 48) * 100 +\n (text.charCodeAt(start + 2) - 48) * 10 +\n (text.charCodeAt(start + 3) - 48);\n const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48);\n const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48);\n const key = (y << 9) | (m << 5) | d;\n if (key !== cachedDateKey) {\n cachedDateKey = key;\n cachedDayMs = Date.UTC(y, m - 1, d);\n }\n const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48);\n const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48);\n const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48);\n let ms = 0;\n if (text.charCodeAt(start + 19) === 46 && len >= 24) {\n ms =\n (text.charCodeAt(start + 20) - 48) * 100 +\n (text.charCodeAt(start + 21) - 48) * 10 +\n (text.charCodeAt(start + 22) - 48);\n }\n return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms;\n }\n const t = new Date(text.slice(start, end)).getTime();\n return Number.isFinite(t) ? t : null;\n }\n\n function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number {\n const i = text.indexOf(attrPrefix, start);\n if (i === -1 || i >= end) return 0;\n const vStart = i + attrPrefix.length;\n const j = text.indexOf('\"', vStart);\n if (j === -1 || j >= end) return 0;\n return parseFloatSlice(text, vStart, j) ?? 0;\n }\n\n // \u2500\u2500 GPX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseGPX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTrkpt = text.indexOf('');\n const name =\n (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) ||\n extractXmlTag(header, '', '') ||\n 'Unnamed Track';\n\n const gpxOpenEnd = header.indexOf('>', header.indexOf('', trkStart + 6);\n if (openEnd === -1) break;\n const trkEnd = text.indexOf('', openEnd + 1);\n if (trkEnd === -1) break;\n pos = trkEnd + 8;\n\n const lat = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lat=\"');\n const lon = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lon=\"');\n\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let temp: number | null = null;\n let speed: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = openEnd + 1;\n while (p < trkEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= trkEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= trkEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n // Skip duplicate block when primary fields already parsed\n const tagLen = gt - lt - 1;\n if (c1 === 103 && tagLen === 26 && hr !== null && cad !== null && temp !== null) {\n break;\n }\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > trkEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 3) {\n if (c1 === 101) ele = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 99 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 2) {\n if (c1 === 104 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 4) {\n if (c1 === 116) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if ((c1 === 112 || c1 === 80 || c1 === 87) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 115 || c1 === 83) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if ((c1 === 98 || c1 === 66) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 103 || c1 === 71) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if (c1 === 103) {\n if (text.charCodeAt(lt + 8) === 104 && hr === null)\n hr = parseIntSlice(text, vStart, vEnd);\n else if (gearFront === null) gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (c1 === 71 && gearFront === null) {\n gearFront = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 10) {\n if (c1 === 103 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 103 && text.charCodeAt(lt + 8) === 97 && temp === null)\n temp = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 103 || c1 === 71) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if ((c1 === 103 || c1 === 71) && gearFrontTooth === null)\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 65 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 11 && c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!points.length) throw new Error('No track points found in GPX');\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'gpx', points: pts, stats };\n }\n\n // \u2500\u2500 TCX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseTCX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTp = text.indexOf('');\n const header = firstTp !== -1 ? text.slice(0, firstTp) : text;\n\n const name = extractXmlTag(header, '', '') || 'Unnamed TCX';\n const creatorBlock = extractXmlTag(header, '', '');\n const device = creatorBlock ? extractXmlTag(creatorBlock, '', '') : null;\n\n const points: TrackPoint[] = [];\n let pos = firstTp !== -1 ? firstTp : 0;\n while (pos < text.length) {\n const tpStart = text.indexOf('', pos);\n if (tpStart === -1) break;\n const tpEnd = text.indexOf('', tpStart + 12);\n if (tpEnd === -1) break;\n pos = tpEnd + 13;\n\n let lat: number | null = null;\n let lon: number | null = null;\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let speed: number | null = null;\n let temp: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = tpStart + 12;\n while (p < tpEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= tpEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= tpEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n const tagLen = gt - lt - 1;\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > tpEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 4) {\n if (c1 === 84) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 116 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if (c1 === 86 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 87 || c1 === 80 || c1 === 112) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 83 || c1 === 115) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 66 || c1 === 98) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 71 || c1 === 103) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if ((c1 === 71 || c1 === 103) && gearFront === null)\n gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 10) {\n if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 11) {\n if (c1 === 84 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 71 || c1 === 103) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if (c1 === 65) {\n if (text.charCodeAt(lt + 2) === 108) ele = parseFloatSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if ((c1 === 71 || c1 === 103) && gearFrontTooth === null) {\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 15) {\n if (c1 === 76) lat = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 16) {\n if (c1 === 76) lon = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 2 && c1 === 104 && hr === null) {\n hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 3 && c1 === 99 && cad === null) {\n cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n if (lat == null || lon == null) continue;\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'tcx', points: pts, stats };\n }\n\n function fastDecodeFitData(buf: ArrayBuffer): any | null {\n if (buf.byteLength < 14) return null;\n const dv = new DataView(buf);\n const headerSize = dv.getUint8(0);\n if (headerSize < 12 || headerSize + 2 > buf.byteLength) return null;\n if (\n dv.getUint8(8) !== 0x2e ||\n dv.getUint8(9) !== 0x46 ||\n dv.getUint8(10) !== 0x49 ||\n dv.getUint8(11) !== 0x54\n ) {\n return null;\n }\n const dataSize = dv.getUint32(4, true);\n const endOffset = Math.min(buf.byteLength, headerSize + dataSize);\n const GARMIN_EPOCH_SEC = 631065600;\n const SEMICIRCLE_TO_DEG = 180 / Math.pow(2, 31);\n\n interface FieldDef {\n num: number;\n size: number;\n type: number;\n }\n interface MsgDef {\n littleEndian: boolean;\n globalMsgNum: number;\n fields: FieldDef[];\n recordSize: number;\n }\n const defs: (MsgDef | undefined)[] = new Array(16);\n const file_ids: any[] = [];\n const sessions: any[] = [];\n const records: any[] = [];\n const events: any[] = [];\n const device_infos: any[] = [];\n\n let offset = headerSize;\n while (offset < endOffset) {\n const hdr = dv.getUint8(offset++);\n if ((hdr & 0x80) !== 0 || (hdr & 0x20) !== 0) {\n return null; // Compressed timestamp or developer data: fallback to FitParser\n }\n const localNum = hdr & 0x0f;\n if ((hdr & 0x40) !== 0) {\n if (offset + 5 > endOffset) return null;\n offset++; // reserved\n const arch = dv.getUint8(offset++);\n const littleEndian = arch === 0;\n const globalMsgNum = dv.getUint16(offset, littleEndian);\n offset += 2;\n const numFields = dv.getUint8(offset++);\n if (offset + numFields * 3 > endOffset) return null;\n const fields: FieldDef[] = new Array(numFields);\n let recordSize = 0;\n for (let i = 0; i < numFields; i++) {\n const num = dv.getUint8(offset++);\n const size = dv.getUint8(offset++);\n const type = dv.getUint8(offset++);\n fields[i] = { num, size, type };\n recordSize += size;\n }\n defs[localNum] = { littleEndian, globalMsgNum, fields, recordSize };\n } else {\n const def = defs[localNum];\n if (!def || offset + def.recordSize > endOffset) return null;\n const le = def.littleEndian;\n const gNum = def.globalMsgNum;\n\n if (\n gNum === 20 &&\n def.fields.length === 10 &&\n def.recordSize === 25 &&\n def.fields[0].num === 253 &&\n def.fields[1].num === 0\n ) {\n const ts = dv.getUint32(offset, le);\n const rawLat = dv.getInt32(offset + 4, le);\n const rawLon = dv.getInt32(offset + 8, le);\n const rawAlt = dv.getUint16(offset + 12, le);\n const hr = dv.getUint8(offset + 14);\n const cad = dv.getUint8(offset + 15);\n const rawDist = dv.getUint32(offset + 16, le);\n const rawSpd = dv.getUint16(offset + 20, le);\n const power = dv.getUint16(offset + 22, le);\n const temp = dv.getInt8(offset + 24);\n records.push({\n timestamp: (ts + GARMIN_EPOCH_SEC) * 1000,\n position_lat: rawLat * SEMICIRCLE_TO_DEG,\n position_long: rawLon * SEMICIRCLE_TO_DEG,\n altitude: rawAlt / 5 - 500,\n heart_rate: hr,\n cadence: cad,\n distance: rawDist / 100,\n speed: (rawSpd / 1000) * 3.6,\n power,\n temperature: temp,\n });\n offset += 25;\n continue;\n }\n\n const msg: any = {};\n let fOff = offset;\n for (let i = 0; i < def.fields.length; i++) {\n const f = def.fields[i];\n let val: number = 0;\n const bType = f.type & 0x1f;\n if (f.size === 1) {\n val = bType === 1 ? dv.getInt8(fOff) : dv.getUint8(fOff);\n } else if (f.size === 2) {\n val = bType === 3 ? dv.getInt16(fOff, le) : dv.getUint16(fOff, le);\n } else if (f.size === 4) {\n val = bType === 5 ? dv.getInt32(fOff, le) : dv.getUint32(fOff, le);\n }\n msg[f.num] = val;\n fOff += f.size;\n }\n offset += def.recordSize;\n\n if (gNum === 0) {\n file_ids.push({\n type: msg[0] === 4 ? 'activity' : msg[0],\n manufacturer: msg[1] === 1 ? 'garmin' : msg[1],\n product: msg[2],\n time_created: msg[4] != null ? (msg[4] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n });\n } else if (gNum === 18) {\n const sportMap: Record = { 0: 'generic', 1: 'running', 2: 'cycling' };\n sessions.push({\n start_time: msg[2] != null ? (msg[2] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n sport: sportMap[msg[5]] ?? String(msg[5]),\n sub_sport: msg[6] === 0 ? 'generic' : String(msg[6]),\n });\n } else if (gNum === 20) {\n records.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n position_lat: msg[0] != null ? msg[0] * SEMICIRCLE_TO_DEG : undefined,\n position_long: msg[1] != null ? msg[1] * SEMICIRCLE_TO_DEG : undefined,\n altitude: msg[2] != null ? msg[2] / 5 - 500 : undefined,\n heart_rate: msg[3],\n cadence: msg[4],\n distance: msg[5] != null ? msg[5] / 100 : undefined,\n speed: msg[6] != null ? (msg[6] / 1000) * 3.6 : undefined,\n power: msg[7],\n temperature: msg[13],\n });\n } else if (gNum === 21) {\n const evName =\n msg[0] === 43\n ? 'rear_gear_change'\n : msg[0] === 42\n ? 'front_gear_change'\n : String(msg[0]);\n events.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n event: evName,\n event_type: msg[1] === 3 ? 'marker' : String(msg[1]),\n data: msg[3],\n front_gear_num: msg[9],\n rear_gear_num: msg[11],\n });\n } else if (gNum === 23) {\n device_infos.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n battery_level: msg[32],\n });\n } else {\n return null;\n }\n }\n }\n return { file_ids, sessions, sports: [], records, events, device_infos };\n }\n\n // \u2500\u2500 FIT parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseFIT(buf: ArrayBuffer): Promise {\n return new Promise((resolve, reject) => {\n const handleParsedFitData = (error: any, data: any) => {\n if (error) {\n reject(error);\n return;\n }\n try {\n const name = data.sessions?.[0]?.start_time\n ? `Fit Activity ${new Date(data.sessions[0].start_time).toISOString().split('T')[0]}`\n : 'Unnamed Fit';\n\n // Better device detection\n let device: string | null = null;\n const devices: DeviceInfo[] = [];\n let sport: string | null = null;\n let subSport: string | null = null;\n\n if (data.sports?.[0]) {\n sport = data.sports[0].sport;\n subSport = data.sports[0].sub_sport;\n } else if (data.sessions?.[0]) {\n sport = data.sessions[0].sport;\n subSport = data.sessions[0].sub_sport;\n }\n\n const getDeviceName = (d: any) =>\n d.product_name ||\n d.garmin_product ||\n d.product ||\n d.device_type ||\n d.manufacturer ||\n null;\n\n if (data.file_ids?.[0]) {\n const fid = data.file_ids[0];\n device = getDeviceName(fid);\n devices.push({\n name: fid.product_name || fid.garmin_product || fid.product,\n manufacturer: fid.manufacturer,\n serial: fid.serial_number ? String(fid.serial_number) : undefined,\n version: fid.software_version ? String(fid.software_version) : undefined,\n type: 'main',\n });\n }\n\n if (data.device_infos) {\n data.device_infos.forEach((d: any) => {\n const isMain = d.device_index === 'creator' || d.device_index === 0;\n\n if (isMain) {\n const name = getDeviceName(d);\n // Prefer a name with product_name or garmin_product over generic ones\n if (d.product_name || d.garmin_product || !device) device = name;\n\n // Update existing main device if needed\n if (devices.length > 0 && devices[0].type === 'main') {\n if (d.product_name || d.garmin_product || !devices[0].name)\n devices[0].name = d.product_name || d.garmin_product || d.product;\n\n if (!devices[0].manufacturer) devices[0].manufacturer = d.manufacturer;\n if (!devices[0].serial && d.serial_number)\n devices[0].serial = String(d.serial_number);\n if (!devices[0].version && d.software_version)\n devices[0].version = String(d.software_version);\n if (!devices[0].hardwareVersion && d.hardware_version)\n devices[0].hardwareVersion = String(d.hardware_version);\n }\n return;\n }\n\n devices.push({\n name: d.product_name || d.garmin_product || d.product || d.device_type || 'Sensor',\n manufacturer: d.manufacturer,\n serial: d.serial_number ? String(d.serial_number) : undefined,\n version: d.software_version ? String(d.software_version) : undefined,\n hardwareVersion: d.hardware_version ? String(d.hardware_version) : undefined,\n type: d.device_type || 'sensor',\n batteryStatus: d.battery_status,\n batteryVoltage: d.battery_voltage,\n batteryLevel: d.battery_level,\n sourceType: d.source_type != null ? String(d.source_type) : undefined,\n });\n });\n }\n\n if (data.sensor_settings) {\n data.sensor_settings.forEach((s: any) => {\n const name = s.name || s.product || s.sensor_type;\n if (!name) return;\n\n // Check if we already have this device (by ANT ID or name)\n const antId = s.ant_id ? String(s.ant_id) : undefined;\n const existing = devices.find(\n (d) =>\n (antId && d.serial === antId) ||\n (d.name === name && d.manufacturer === s.manufacturer),\n );\n\n if (existing) {\n if (!existing.name) existing.name = name;\n if (!existing.manufacturer) existing.manufacturer = s.manufacturer;\n if (!existing.type) existing.type = s.sensor_type;\n if (!existing.sourceType)\n existing.sourceType =\n s.connection_type != null ? String(s.connection_type) : undefined;\n } else {\n devices.push({\n name: name,\n manufacturer: s.manufacturer,\n serial: antId,\n type: s.sensor_type || 'sensor',\n sourceType: s.connection_type != null ? String(s.connection_type) : undefined,\n });\n }\n });\n }\n\n // Collect standalone device status reports (often contains head unit battery)\n // We'll store them in a sorted array for easier lookups\n const statusReports: { time: number; level: number | null; idx: number }[] = [];\n if (data.device_statuses) {\n data.device_statuses.forEach((s: any, idx: number) => {\n if (s.timestamp && s.battery_level != null) {\n statusReports.push({\n time:\n typeof s.timestamp === 'number' ? s.timestamp : new Date(s.timestamp).getTime(),\n level: s.battery_level,\n idx,\n });\n }\n });\n statusReports.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n // Collect gear events\n const gearEvents: {\n time: number;\n front: number | null;\n rear: number | null;\n frontTooth: number | null;\n rearTooth: number | null;\n idx: number;\n }[] = [];\n if (data.events) {\n data.events.forEach((e: any, idx: number) => {\n let front = e.front_gear_num ?? e.front_gear ?? null;\n let rear = e.rear_gear_num ?? e.rear_gear ?? null;\n let frontTooth = e.front_gear_num_tooth ?? null;\n let rearTooth = e.rear_gear_num_tooth ?? null;\n\n if (e.event === 'rear_gear_change' || e.event === 'front_gear_change') {\n const d = e.data;\n if (d != null) {\n const ft = (d >> 24) & 0xff;\n const fg = (d >> 16) & 0xff;\n const rt = (d >> 8) & 0xff;\n const rg = d & 0xff;\n\n if (fg !== 0) front = fg;\n if (ft !== 0) frontTooth = ft;\n if (rg !== 0) rear = rg;\n if (rt !== 0) rearTooth = rt;\n }\n }\n\n if (\n e.timestamp &&\n (front != null || rear != null || frontTooth != null || rearTooth != null)\n ) {\n gearEvents.push({\n time:\n typeof e.timestamp === 'number' ? e.timestamp : new Date(e.timestamp).getTime(),\n front,\n rear,\n frontTooth,\n rearTooth,\n idx,\n });\n }\n });\n gearEvents.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n const records = data.records || [];\n let lastBattery: number | null = null;\n let statusIdx = 0;\n let lastFrontGear: number | null = null;\n let lastRearGear: number | null = null;\n let lastFrontTooth: number | null = null;\n let lastRearTooth: number | null = null;\n let gearIdx = 0;\n\n const validPoints: TrackPoint[] = [];\n for (let ri = 0; ri < records.length; ri++) {\n const r = records[ri];\n const lat = r.position_lat;\n const lon = r.position_long;\n if (lat == null || lon == null) continue;\n\n const time =\n r.timestamp != null\n ? typeof r.timestamp === 'number'\n ? r.timestamp\n : r.timestamp instanceof Date\n ? r.timestamp.getTime()\n : new Date(r.timestamp).getTime()\n : null;\n const speed = r.speed != null ? r.speed / 3.6 : null; // km/h \u2192 m/s\n\n let battery = r.battery_level ?? null;\n\n // If not in record, check our status reports\n if (battery == null && time) {\n // Catch up statusIdx to current time\n while (statusIdx < statusReports.length && statusReports[statusIdx].time <= time) {\n lastBattery = statusReports[statusIdx].level;\n statusIdx++;\n }\n battery = lastBattery;\n } else if (battery != null) {\n lastBattery = battery;\n }\n\n // Update gear state from events\n if (time) {\n while (gearIdx < gearEvents.length && gearEvents[gearIdx].time <= time) {\n const e = gearEvents[gearIdx];\n if (e.front != null) lastFrontGear = e.front;\n if (e.rear != null) lastRearGear = e.rear;\n if (e.frontTooth != null) lastFrontTooth = e.frontTooth;\n if (e.rearTooth != null) lastRearTooth = e.rearTooth;\n gearIdx++;\n }\n }\n\n const gearFront: number | null = r.front_gear_num ?? r.front_gear ?? lastFrontGear;\n const gearRear: number | null = r.rear_gear_num ?? r.rear_gear ?? lastRearGear;\n const gearFrontTooth: number | null = r.front_gear_num_tooth ?? lastFrontTooth;\n const gearRearTooth: number | null = r.rear_gear_num_tooth ?? lastRearTooth;\n\n if (r.front_gear_num != null || r.front_gear != null) lastFrontGear = gearFront;\n if (r.rear_gear_num != null || r.rear_gear != null) lastRearGear = gearRear;\n if (r.front_gear_num_tooth != null) lastFrontTooth = gearFrontTooth;\n if (r.rear_gear_num_tooth != null) lastRearTooth = gearRearTooth;\n\n const gears =\n gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0\n ? gearFrontTooth / gearRearTooth\n : null;\n\n validPoints.push({\n lat,\n lon,\n ele: r.altitude ?? r.enhanced_altitude ?? null,\n time,\n hr: r.heart_rate ?? null,\n cad: r.cadence ?? null,\n power: r.power ?? null,\n speed,\n temp: r.temperature ?? null,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!validPoints.length) {\n reject(new Error('FIT file has no GPS points'));\n return;\n }\n\n const pts = enrichPoints(validPoints);\n const stats = computeStats(pts);\n resolve({ name, device, devices, format: 'fit', points: pts, stats, sport, subSport });\n } catch (ex) {\n reject(ex);\n }\n };\n\n const fastData = fastDecodeFitData(buf);\n if (fastData) {\n handleParsedFitData(null, fastData);\n return;\n }\n\n const fitParser = new FitParser({\n force: true,\n speedUnit: 'km/h',\n lengthUnit: 'm',\n temperatureUnit: 'celsius',\n elapsedRecordField: true,\n });\n\n fitParser.parse(buf, handleParsedFitData);\n });\n }\n\n // \u2500\u2500 KML parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseKML(buf: ArrayBuffer): any {\n const text = new TextDecoder().decode(buf);\n const doc = new DOMParser().parseFromString(text, 'application/xml');\n\n let name = 'Unnamed Track';\n const nameEl = doc.querySelector('Document > name, Placemark > name');\n if (nameEl) name = nameEl.textContent?.trim() || name;\n\n // Track: look for gx:Track or LineString\n const coordEls = doc.querySelectorAll('coordinates');\n if (!coordEls.length) throw new Error('No coordinates found in KML');\n\n const points: TrackPoint[] = [];\n coordEls.forEach((el) => {\n const lines = el.textContent?.trim().split(/\\s+/) || [];\n lines.forEach((line) => {\n const parts = line.split(',');\n if (parts.length < 2) return;\n const lon = parseFloat(parts[0]);\n const lat = parseFloat(parts[1]);\n const ele = parts.length > 2 ? parseFloat(parts[2]) : null;\n if (isNaN(lat) || isNaN(lon)) return;\n points.push({\n lat,\n lon,\n ele: ele != null && isNaN(ele) ? null : ele,\n time: null,\n hr: null,\n cad: null,\n power: null,\n speed: null,\n temp: null,\n gearFront: null,\n gearRear: null,\n gearFrontTooth: null,\n gearRearTooth: null,\n battery: null,\n gears: null,\n });\n });\n });\n\n if (!points.length) throw new Error('No valid coordinates in KML');\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, format: 'kml', points: pts, stats };\n }\n\n // \u2500\u2500 Public: dispatch by extension \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n async function parseFile(file: File): Promise {\n const ext = file.name.split('.').pop()?.toLowerCase();\n const buf: ArrayBuffer = (file as any)._buf ?? (await file.arrayBuffer());\n const predecodedText: string | undefined = (file as any)._text;\n let result: any;\n switch (ext) {\n case 'gpx':\n result = parseGPX(buf, predecodedText);\n break;\n case 'tcx':\n result = parseTCX(buf, predecodedText);\n break;\n case 'fit':\n result = await parseFIT(buf);\n break;\n case 'kml':\n result = parseKML(buf);\n break;\n default:\n throw new Error(`Unsupported format: .${ext}`);\n }\n\n if (result) {\n result.fileName = file.name;\n result.fileSize = file.size;\n if (result.points && result.stats) {\n ensureCurvesAndZones(result);\n result.stats.sections = analyzeTrackSections(result.points);\n }\n }\n return result;\n }\n\n return {\n parseFile,\n computeStats,\n ensureCurvesAndZones,\n analyzeTrackSections,\n findOverlaps,\n calculatePowerCurve,\n calculateHRCurve,\n calculatePowerZones,\n calculateHRZones,\n enrichPoints,\n setHRZones,\n getHRZones,\n setFTP,\n getFTP,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number {\n const R = 6371e3; // Earth radius in metres\n const phi1 = (lat1 * Math.PI) / 180;\n const phi2 = (lat2 * Math.PI) / 180;\n const deltaPhi = ((lat2 - lat1) * Math.PI) / 180;\n const deltaLambda = ((lon2 - lon1) * Math.PI) / 180;\n\n const a =\n Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) +\n Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2);\n const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n\n return R * c;\n}\n\nexport function compactId(timestamp: number): string {\n // Use a compact representation of the timestamp (seconds since epoch)\n // 1712650000 -> Base64\n const buf = new Uint32Array([Math.floor(timestamp / 1000)]);\n const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer)));\n return b64.replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n}\n\nexport function generateId(): string {\n return Math.random().toString(36).slice(2, 10);\n}\n\nexport function shortRandom(): string {\n return Math.random().toString(36).slice(2, 6);\n}\n\nexport function fmtDuration(s: number): string {\n if (s < 60) return `${Math.round(s)}s`;\n if (s < 3600) return `${Math.round(s / 60)}m`;\n return `${Math.round(s / 3600)}h`;\n}\n\nexport function fmtSecs(s: number): string {\n const h = Math.floor(s / 3600),\n m = Math.floor((s % 3600) / 60);\n return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`;\n}\n\nexport function fmtPace(seconds: number | null): string {\n if (seconds == null || !isFinite(seconds)) return '--';\n const mins = Math.floor(seconds / 60);\n const secs = Math.round(seconds % 60);\n return `${mins}:${secs.toString().padStart(2, '0')}`;\n}\n\nexport function fmtDate(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown date';\n return d.toISOString().split('T')[0];\n}\n\nexport function fmtDateTime(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown';\n const iso = d.toISOString();\n return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`;\n}\n\nexport function fmtFileSize(bytes: number): string {\n if (bytes === 0) return '0 B';\n const k = 1024;\n const sizes = ['B', 'KB', 'MB', 'GB'];\n const i = Math.floor(Math.log(bytes) / Math.log(k));\n return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\nexport function escHtml(str: string): string {\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"');\n}\n\nexport function getTagColor(name: string): string {\n let hash = 0;\n for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash);\n\n const h = Math.abs(hash % 360);\n return `hsl(${h}, 70%, 65%)`;\n}\n\n/**\n * Smoothes a numeric array using a simple Gaussian kernel.\n * sigma: standard deviation (radius of smoothing)\n */\nexport function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] {\n if (sigma <= 0) return data;\n\n const size = Math.ceil(sigma * 3) * 2 + 1;\n const kernel = new Float32Array(size);\n const half = Math.floor(size / 2);\n let sum = 0;\n\n for (let i = 0; i < size; i++) {\n const x = i - half;\n kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma));\n sum += kernel[i];\n }\n for (let i = 0; i < size; i++) kernel[i] /= sum;\n\n const result: (number | null)[] = new Array(data.length);\n for (let i = 0; i < data.length; i++) {\n if (data[i] === null) {\n result[i] = null;\n continue;\n }\n\n let val = 0;\n let weightSum = 0;\n for (let k = 0; k < size; k++) {\n const idx = i + k - half;\n if (idx >= 0 && idx < data.length && data[idx] !== null) {\n val += data[idx]! * kernel[k];\n weightSum += kernel[k];\n }\n }\n result[i] = weightSum > 0 ? val / weightSum : data[i];\n }\n return result;\n}\n\nexport function hexToRgba(hex: string, alpha: number = 1): string {\n const r = parseInt(hex.slice(1, 3), 16);\n const g = parseInt(hex.slice(3, 5), 16);\n const b = parseInt(hex.slice(5, 7), 16);\n return `rgba(${r}, ${g}, ${b}, ${alpha})`;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, TrackPoint } from './parsers';\n\nexport const MapView = (() => {\n let trackData: Record = {};\n let customClickHandler: ((e: any) => boolean) | null = null;\n\n function init(\n onSelectCb: (id: string) => void,\n onMoveCb: (lat: number, lng: number, zoom: number) => void,\n onPointClickCb: (id: string, idx: number) => void,\n onPointHoverCb: (id: string | null, idx: number | null) => void,\n onDblClickCb: () => void,\n ) {}\n\n function switchBasemap(layer: string) {}\n function addTrack(t: TrackData) {\n trackData[t.id] = t;\n }\n function addTracks(ts: TrackData[]) {\n ts.forEach((t) => {\n trackData[t.id] = t;\n });\n }\n function removeTrack(id: string) {\n delete trackData[id];\n }\n function clearTracks() {\n trackData = {};\n }\n function removeAllTracks() {\n trackData = {};\n }\n function setTrackVisible(id: string, visible: boolean) {}\n function setSelectedTrack(id: string | null, fit: boolean) {}\n function fitAll() {}\n function fitTrack(id: string) {}\n function showCursorAt(lat: number, lon: number) {}\n function hideCursor() {}\n function highlightSegment(\n id: string | null,\n pts: TrackPoint[],\n start: number,\n end: number,\n fit?: boolean,\n colors?: string[] | null,\n ) {}\n function clearHighlight() {}\n function setTrackHover(id: string, hover: boolean) {}\n function ensureVisible(pts: any) {}\n function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {}\n function closePopup() {}\n function invalidateSize() {}\n function getPosition(): [number, number, number] {\n return [0, 0, 0];\n }\n function setPosition(lat: number, lng: number, zoom: number) {}\n function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {}\n function clearMetricColor(id: string) {}\n\n function findTracksPassingThroughPoints(\n points: { lat: number; lng: number }[],\n radius: number,\n ): string[] {\n return Object.keys(trackData);\n }\n\n return {\n init,\n getMap: () => null as any,\n setCustomClickHandler: (handler: any) => {\n customClickHandler = handler;\n },\n switchBasemap,\n addTrack,\n addTracks,\n removeTrack,\n clearTracks,\n removeAllTracks,\n setTrackVisible,\n setSelectedTrack,\n fitAll,\n fitTrack,\n showCursorAt,\n hideCursor,\n highlightSegment,\n clearHighlight,\n setTrackHover,\n ensureVisible,\n centerOn,\n closePopup,\n invalidateSize,\n getPosition,\n setPosition,\n colorTrackByMetric,\n clearMetricColor,\n findTracksPassingThroughPoints,\n getTrackData: (id: string) => trackData[id],\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackPoint, TrackStats, TrackData } from './parsers';\nimport { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils';\nimport { Zones } from './zones';\nimport { METRICS, MetricDefinition } from './metrics';\nimport { UrlState } from './url-state';\nimport { SPORTS } from './sports';\n\n// Augment uPlot to include our custom property\n\ninterface WegPlot extends uPlot {\n _strasse?: {\n selFill: HTMLElement;\n anchorLine: HTMLElement;\n anchorLabel: HTMLElement;\n anchorHandle: HTMLElement;\n anchorMarker: HTMLElement;\n endLine: HTMLElement;\n endLabel: HTMLElement;\n endHandle: HTMLElement;\n endMarker: HTMLElement;\n curYVal: HTMLElement;\n updateHeaderStats: (min: number, max: number) => void;\n };\n}\n\ninterface PlotData {\n uplot: WegPlot;\n row: HTMLDivElement;\n xData: number[];\n yData: (number | null)[];\n def: MetricDefinition;\n metricKey: string;\n statsTotalEl: HTMLDivElement;\n statsSelEl: HTMLDivElement;\n histCol: HTMLDivElement;\n histCanvas: HTMLCanvasElement;\n histData: HistData;\n hoveredHistY: number | null;\n pinnedHistY: number | null;\n smoothed?: boolean;\n incZero?: boolean;\n w?: number;\n}\n\ninterface HistData {\n yData: (number | null)[];\n xData: number[];\n def: MetricDefinition;\n BINS: number;\n plot?: PlotData;\n bins?: number[];\n binAccum?: number[];\n min?: number;\n max?: number;\n padL?: number;\n selBins?: number[] | null;\n selBinAccum?: number[] | null;\n _lastYData?: any;\n _lastSelRange?: [number, number] | null;\n fullStats?: { min: number; max: number; avg: number } | null;\n fullStatsAll?: { min: number; max: number; avg: number } | null;\n}\n\nexport const ChartView = (() => {\n let plots: PlotData[] = [];\n let renderedTrack: TrackData | null = null;\n let renderedXAxis: string = 'time';\n let renderedSpeedMode: string = 'speed';\n let renderedMapColorMetric: string | null = null;\n let syncKey: {\n key: string;\n sub: (u: uPlot) => void;\n unsub: (u: uPlot) => void;\n pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void;\n } | null = null;\n let scaleSyncing: boolean = false;\n let cursorSyncing: boolean = false;\n let activeMetrics: Set = new Set(['elevation']);\n let availableMetrics: Set = new Set();\n let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']);\n let metricsIncludingZero: Set = new Set(['power']);\n let xAxis: string = 'time';\n let currentTrack: TrackData | null = null;\n let allTracks: TrackData[] = [];\n\n // Selection / anchor\n let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge\n let selEndVal: number | null = null; // x-value at zoom right edge\n let isDragging: boolean = false;\n let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag\n let pinnedPtIdx: number | null = null; // point index pinned by map click\n let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center\n let lastHistMouseEvent: MouseEvent | null = null;\n let hoveredHistData: HistData | null = null;\n let hoveredHistCanvas: HTMLCanvasElement | null = null;\n\n let currentXRange: [number, number] | null = null; // [min, max] currently rendered\n let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation\n let animId: number | null = null;\n\n // Callbacks\n let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null;\n let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null =\n null;\n let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null;\n let onPinChangeCb: ((idx: number | null) => void) | null = null;\n\n const HIST_W: number = 130;\n const ROW_BODY_PADDING: number = 28; // 14px left + 14px right\n const HIST_GAP: number = 20; // margin-left on .hist-col\n let statsVisible: boolean = true;\n let histTooltipEl: HTMLElement | null = null;\n let container: HTMLElement | null = null;\n let emptyEl: HTMLElement | null = null;\n let selStatsEl: HTMLElement | null = null;\n let resetSelBtn: HTMLElement | null = null;\n let mapColorMetric: string | null = null;\n let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null =\n null;\n\n // \u2500\u2500 Init \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function init(\n onCursorMove: (pt: TrackPoint | null) => void,\n onRangeChange: (min: number | null, max: number | null, axis: string) => void,\n onClick: (pt: TrackPoint, idx: number) => void,\n onPinChange: (idx: number | null) => void,\n ) {\n onCursorMoveCb = onCursorMove;\n onRangeChangeCb = onRangeChange;\n onClickCb = onClick;\n onPinChangeCb = onPinChange;\n container = document.getElementById('charts-container');\n container?.addEventListener('scroll', () => {\n if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData)\n updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData);\n });\n emptyEl = document.getElementById('chart-empty');\n selStatsEl = document.getElementById('chart-stats-sel');\n resetSelBtn = document.getElementById('btn-reset-selection');\n histTooltipEl = document.getElementById('hist-tooltip');\n syncKey = uPlot.sync('strasse-sync');\n\n document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection);\n resetSelBtn?.classList.add('hidden');\n\n // \u2500\u2500 WASD Keyboard Navigation \u2500\u2500\n const navKeys = new Set(['w', 'a', 's', 'd']);\n const activeNavKeys = new Set();\n\n document.addEventListener('keydown', (e) => {\n if (!plots.length || !currentTrack) return;\n if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return;\n\n const key = e.key.toLowerCase();\n if (!navKeys.has(key)) return;\n\n e.preventDefault();\n activeNavKeys.add(key);\n\n const u = plots[0].uplot;\n if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!];\n\n let [min, max] = targetXRange;\n const span = max - min;\n const moveStep = span * 0.1;\n const zoomFactor = 0.15;\n\n let newMin = min,\n newMax = max;\n\n if (key === 'a') {\n // Pan left\n newMin = min - moveStep;\n newMax = max - moveStep;\n } else if (key === 'd') {\n // Pan right\n newMin = min + moveStep;\n newMax = max + moveStep;\n } else if (key === 'w' || key === 's') {\n // Zoom\n const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2;\n const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2;\n newMin = center - (center - min) * factor;\n newMax = center + (max - center) * factor;\n }\n\n // Clamp to track bounds\n const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!];\n if (newMin < xFull[0]) {\n const d = xFull[0] - newMin;\n newMin += d;\n newMax += d;\n }\n if (newMax > xFull[1]) {\n const d = newMax - xFull[1];\n newMin -= d;\n newMax -= d;\n }\n newMin = Math.max(xFull[0], newMin);\n newMax = Math.min(xFull[1], newMax);\n\n if (newMax - newMin > 0.001) {\n targetXRange = [newMin, newMax];\n setVisibleRange(newMin, newMax, true); // true = animate\n }\n });\n\n document.addEventListener('keyup', (e) => {\n const key = e.key.toLowerCase();\n if (navKeys.has(key)) activeNavKeys.delete(key);\n });\n }\n\n function setVisibleRange(min: number, max: number, animate = false) {\n if (!plots.length) return;\n if (!animate) {\n plots.forEach(({ uplot: u }) => u.setScale('x', { min, max }));\n return;\n }\n\n const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number;\n const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number;\n\n if (animId) cancelAnimationFrame(animId);\n\n const lerp = (a: number, b: number, t: number) => a + (b - a) * t;\n const factor = 0.25; // Smoothing factor\n\n const step = () => {\n if (!targetXRange) return;\n const [tMin, tMax] = targetXRange;\n\n const cMin = lerp(currentXRange![0], tMin, factor);\n const cMax = lerp(currentXRange![1], tMax, factor);\n\n plots.forEach(({ uplot: u }) => {\n u.setScale('x', { min: cMin, max: cMax });\n });\n\n if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001)\n animId = requestAnimationFrame(step);\n else animId = null;\n };\n animId = requestAnimationFrame(step);\n }\n\n // \u2500\u2500 Public API \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n allTracks = others;\n\n // Detect which metrics are available in this file\n availableMetrics = new Set(\n Object.entries(METRICS)\n .filter(([, def]) => track.points.some((p) => p[def.field] != null))\n .map(([key]) => key),\n );\n\n // If no metrics are active (e.g. first load), default to core overview metrics\n if (activeMetrics.size === 0) {\n activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m)));\n }\n\n // Sync the pill buttons in the toolbar\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n const metric = pill.dataset.metric!;\n const isAvailable = availableMetrics.has(metric);\n pill.classList.toggle('active', isAvailable && activeMetrics.has(metric));\n pill.classList.toggle('disabled', !isAvailable);\n });\n\n currentTrack = track;\n if (deferRender) {\n updateStats(track);\n } else {\n render();\n }\n }\n\n function clear() {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n currentTrack = null;\n destroyPlots();\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
Select a track to view analysis
\n `;\n }\n const chartStats = document.getElementById('chart-stats');\n if (chartStats) chartStats.classList.add('hidden');\n clearSelectionStats();\n mapColorMetric = null;\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n }\n\n function resetState() {\n if (animId !== null) {\n cancelAnimationFrame(animId);\n animId = null;\n }\n activeMetrics = new Set(['elevation']);\n availableMetrics = new Set();\n smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']);\n metricsIncludingZero = new Set(['power']);\n xAxis = 'time';\n allTracks = [];\n currentXRange = null;\n targetXRange = null;\n lastMouseXVal = null;\n lastHistMouseEvent = null;\n hoveredHistData = null;\n hoveredHistCanvas = null;\n statsVisible = true;\n clear();\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n pill.classList.remove('disabled', 'overflow-hidden');\n });\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.add('hidden');\n const toolbar = document.getElementById('chart-toolbar');\n if (toolbar) toolbar.classList.remove('collapsed');\n document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time');\n });\n }\n\n function toggleMetric(key: string) {\n if (activeMetrics.has(key)) activeMetrics.delete(key);\n else activeMetrics.add(key);\n if (currentTrack) render(true);\n }\n\n function setSmooth(metricKey: string, enabled: boolean, skipRender = false) {\n const has = smoothedMetrics.has(metricKey);\n if (enabled && !has) {\n smoothedMetrics.add(metricKey);\n if (currentTrack && !skipRender) render(true);\n } else if (!enabled && has) {\n smoothedMetrics.delete(metricKey);\n if (currentTrack && !skipRender) render(true);\n }\n }\n\n function setZeroInclusion(metricKey: string, includeZero: boolean) {\n const has = metricsIncludingZero.has(metricKey);\n if (includeZero && !has) {\n metricsIncludingZero.add(metricKey);\n if (currentTrack) render(true);\n } else if (!includeZero && has) {\n metricsIncludingZero.delete(metricKey);\n if (currentTrack) render(true);\n }\n }\n\n function setActiveMetrics(keys: string[]) {\n activeMetrics = new Set(keys);\n if (currentTrack) render(true);\n // Sync the pill buttons\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n });\n }\n\n function setXAxis(axis: string) {\n if (xAxis === axis || !currentTrack) {\n xAxis = axis;\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n\n // Helper to convert a value from OLD axis to NEW axis\n const convert = (val: number | null) => {\n if (val === null) return null;\n // We need to find the point index closest to 'val' on the OLD axis\n let idx = 0;\n if (xAxis === 'distance') {\n const dTarget = val * 1000;\n idx = pts.findIndex((p) => (p.dist || 0) >= dTarget);\n } else {\n const tTarget = t0 + val * 1000;\n idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n }\n if (idx === -1) idx = pts.length - 1;\n\n // Now get the value at this index on the NEW axis\n if (axis === 'distance') return (pts[idx].dist || 0) / 1000;\n else return ((pts[idx].time || t0) - t0) / 1000;\n };\n\n // Convert selection\n if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal);\n if (selEndVal !== null) selEndVal = convert(selEndVal);\n\n // Convert zoom range (from first plot)\n let newRange: [number, number] | null = null;\n if (plots.length) {\n const u = plots[0].uplot;\n const r0 = convert(u.scales.x!.min!);\n const r1 = convert(u.scales.x!.max!);\n if (r0 !== null && r1 !== null) newRange = [r0, r1];\n }\n\n xAxis = axis;\n render(true);\n\n // Apply converted zoom\n if (newRange) {\n scaleSyncing = true;\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] }));\n });\n scaleSyncing = false;\n }\n }\n\n function toggleStats() {\n statsVisible = !statsVisible;\n plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible));\n resize();\n }\n\n function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) {\n onMapColorChangeCb = cb;\n }\n\n function toggleMapColor(key: string | null, skipRender = false) {\n if (mapColorMetric === key || key === null) {\n mapColorMetric = null;\n _updateMapColorBtns();\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n } else {\n mapColorMetric = key;\n _updateMapColorBtns();\n _fireMapColorCb();\n }\n // Re-render to show/hide colored fills on the graphs\n if (currentTrack && !skipRender) render(true);\n }\n\n function _updateMapColorBtns() {\n document.querySelectorAll('.map-color-btn').forEach((el) => {\n const b = el as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === mapColorMetric);\n });\n }\n\n function _fireMapColorCb() {\n if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return;\n const plot = plots.find((p) => p.metricKey === mapColorMetric);\n if (!plot) return;\n const colors = _computePointColors(mapColorMetric, plot.yData);\n onMapColorChangeCb({ pts: currentTrack.points, colors });\n }\n\n function _computePointColors(key: string, yData: (number | null)[]): string[] {\n const vals = yData.filter((v): v is number => v != null && isFinite(v));\n if (!vals.length) return yData.map(() => '#888896');\n const min = Math.min(...vals),\n max = Math.max(...vals);\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n return yData.map((v) => {\n if (v == null || !isFinite(v)) return '#888896';\n if (key === 'gradient') return gradientColor(v);\n if (key === 'speed') {\n if (speedMode === 'pace') {\n const speed = (paceUnit === 'km' ? 1000 : 100) / v;\n return speedColor(speed);\n }\n return speedColor(v);\n }\n const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min)));\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25);\n if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25);\n if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25);\n return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25);\n });\n }\n\n function resetZoom() {\n cancelSelection();\n }\n\n function cancelSelection() {\n selAnchorVal = null;\n selEndVal = null;\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n\n // Reset individual histogram pins\n plots.forEach((p) => {\n p.pinnedHistY = null;\n });\n\n updateSelOverlay();\n redrawHistograms();\n\n // Perform the actual zoom reset\n scaleSyncing = true;\n plots.forEach(({ uplot: u, xData }) => {\n u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! }));\n u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!);\n });\n scaleSyncing = false;\n\n if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis);\n }\n\n function setSelectionStats(stats: TrackStats) {\n if (!selStatsEl) return;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt(\n 'sel-distance',\n stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '\u2014',\n );\n fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '\u2014');\n fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '\u2014');\n fmt(\n 'sel-avg-speed',\n stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014',\n );\n fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '\u2014');\n fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '\u2014');\n fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n selStatsEl.classList.remove('hidden');\n if (resetSelBtn) resetSelBtn.classList.remove('hidden');\n }\n\n function clearSelectionStats() {\n if (selStatsEl) selStatsEl.classList.add('hidden');\n if (resetSelBtn) resetSelBtn.classList.add('hidden');\n [\n 'sel-distance',\n 'sel-duration',\n 'sel-elevation',\n 'sel-avg-speed',\n 'sel-avg-power',\n 'sel-avg-hr',\n 'sel-avg-temp',\n ].forEach((id) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = '--';\n });\n }\n\n // Called on boot to restore a saved selection without re-firing onRangeChangeCb\n // xMin/xMax are ALWAYS provided in Time (seconds from start)\n function restoreSelection(tMin: number, tMax: number, deferRender = false) {\n if (!currentTrack) return;\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000;\n\n // If values look like absolute timestamps in ms, convert to seconds from start\n if (tMin > 1e12) tMin = (tMin - t0) / 1000;\n if (tMax > 1e12) tMax = (tMax - t0) / 1000;\n\n // Crop to max limits of the track\n tMin = Math.max(0, Math.min(tMin, totalDuration));\n tMax = Math.max(0, Math.min(tMax, totalDuration));\n\n const convert = (tOffset: number) => {\n if (xAxis === 'time') return tOffset;\n const tTarget = t0 + tOffset * 1000;\n let idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n if (idx === -1) idx = pts.length - 1;\n return (pts[idx].dist || 0) / 1000;\n };\n\n const xMin = convert(tMin);\n const xMax = convert(tMax);\n\n selAnchorVal = xMin;\n selEndVal = xMax;\n currentXRange = [xMin, xMax];\n if (deferRender) return;\n scaleSyncing = true; // suppress the setScale \u2192 onRangeChangeCb loop\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: xMin, max: xMax }));\n });\n scaleSyncing = false;\n updateAnchorLines();\n redrawHistograms();\n }\n\n function resize() {\n if (!plots.length || !container) return;\n const w = Math.round(\n Math.max(\n 100,\n container.getBoundingClientRect().width -\n ROW_BODY_PADDING -\n (statsVisible ? HIST_W + HIST_GAP : 0),\n ),\n );\n let anyResized = false;\n plots.forEach(({ uplot: u, histCanvas, histData }) => {\n if (w !== u.width) {\n u.setSize({ width: w, height: u.height });\n anyResized = true;\n if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height);\n }\n });\n if (anyResized) updateSelOverlay();\n }\n\n // \u2500\u2500 Render \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function render(keepState = false) {\n let savedRange: [number, number] | null = null;\n let savedScroll = 0;\n if (keepState && container) savedScroll = container.scrollTop;\n\n if (keepState && currentXRange) {\n savedRange = [currentXRange[0], currentXRange[1]];\n } else if (keepState && plots.length) {\n const u = plots[0].uplot;\n savedRange = [u.scales.x!.min!, u.scales.x!.max!];\n }\n\n if (!currentTrack) {\n destroyPlots(keepState);\n return;\n }\n const pts = currentTrack.points;\n if (!pts.length) {\n destroyPlots(keepState);\n return;\n }\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n const available = [...activeMetrics].filter((m) =>\n pts.some((p) => p[METRICS[m].field] != null),\n );\n if (!available.length) {\n destroyPlots(keepState);\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
No data for selected metrics
\n `;\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n\n const containerW = container ? container.getBoundingClientRect().width : 800;\n const w = Math.round(\n Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)),\n );\n\n const canReuse =\n keepState &&\n renderedTrack === currentTrack &&\n renderedXAxis === xAxis &&\n renderedSpeedMode === speedMode &&\n renderedMapColorMetric === mapColorMetric &&\n plots.length > 0;\n\n let xData: (number | null)[];\n if (canReuse) {\n xData = plots[0].xData;\n } else if (xAxis === 'distance') {\n xData = pts.map((p) => (p.dist || 0) / 1000);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n let lastValidX = 0;\n xData = pts.map((p) => {\n if (p.time != null) {\n lastValidX = (p.time - t0) / 1000;\n return lastValidX;\n }\n return lastValidX; // monotonic fallback\n });\n }\n\n const existingByKey = new Map();\n if (canReuse) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const availSet = new Set(available);\n for (const p of plots) {\n const isSmoothed = smoothedMetrics.has(p.metricKey);\n const isIncZero = metricsIncludingZero.has(p.metricKey);\n if (\n availSet.has(p.metricKey) &&\n p.smoothed === isSmoothed &&\n p.incZero === isIncZero &&\n p.w === w\n ) {\n existingByKey.set(p.metricKey, p);\n } else {\n syncKey!.unsub(p.uplot);\n p.uplot.destroy();\n p.row.remove();\n }\n }\n plots = [];\n } else {\n destroyPlots(keepState);\n }\n\n if (container) {\n const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null);\n let nextExisting: HTMLElement | null = null;\n for (let i = available.length - 1; i >= 0; i--) {\n nextSiblingRows[i] = nextExisting;\n const ex = existingByKey.get(available[i]);\n if (ex) nextExisting = ex.row;\n }\n\n available.forEach((key, idx) => {\n const reused = existingByKey.get(key);\n if (reused) {\n plots.push(reused);\n const uplot = reused.uplot;\n const s = (uplot as any)._strasse;\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n uplot.batch(() => {\n if (\n savedRange &&\n (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1])\n ) {\n uplot.setScale('x', { min: savedRange[0], max: savedRange[1] });\n } else {\n s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot);\n uplot.redraw(false);\n }\n });\n scaleSyncing = prevSync;\n\n let initHoverBinI: number | null = null;\n if (\n pinnedPtIdx != null &&\n reused.xData[pinnedPtIdx] != null &&\n reused.yData[pinnedPtIdx] != null\n ) {\n buildHistBins(reused.histData);\n if (reused.histData.min != null && reused.histData.max != null) {\n const span = reused.histData.max - reused.histData.min || 1;\n initHoverBinI = Math.min(\n reused.histData.BINS - 1,\n Math.floor(\n ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) *\n reused.histData.BINS,\n ),\n );\n reused.hoveredHistY = reused.yData[pinnedPtIdx];\n }\n }\n drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI);\n return;\n }\n\n let def = METRICS[key];\n\n let transform = def.transform;\n let fmt = def.fmt;\n let fmtAxis = def.fmtAxis;\n let unit = def.unit;\n let label = def.label;\n\n if (key === 'speed' && speedMode === 'pace') {\n label = 'Pace';\n unit = `min/${paceUnit}`;\n fmt = (v) => fmtPace(v);\n fmtAxis = (v) => fmtPace(v);\n transform = (v) => {\n if (v == null || v < 0.1) return null;\n return (paceUnit === 'km' ? 1000 : 100) / v;\n };\n\n def = { ...def, label, unit, fmt, fmtAxis, transform };\n }\n\n let yData = def.compute\n ? def.compute(pts, fillNulls)\n : fillNulls(\n pts.map((p) => {\n const v = p[def.field] as number;\n return v != null && transform ? transform(v) : v;\n }),\n );\n\n if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2);\n\n createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]);\n });\n }\n\n renderedTrack = currentTrack;\n renderedXAxis = xAxis;\n renderedSpeedMode = speedMode;\n renderedMapColorMetric = mapColorMetric;\n\n updateStats(currentTrack);\n // Restore anchor/end lines if a selection was active\n if (selAnchorVal != null && selEndVal != null) updateAnchorLines();\n // Re-apply map color if active\n _updateMapColorBtns();\n if (mapColorMetric) _fireMapColorCb();\n\n if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll;\n }\n\n // \u2500\u2500 Create one chart row \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function createChart(\n metricKey: string,\n def: MetricDefinition,\n xData: (number | null)[],\n yData: (number | null)[],\n w: number,\n pts: TrackPoint[],\n initialRange: [number, number] | null = null,\n insertBeforeEl: HTMLElement | null = null,\n ) {\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n\n // Gradient data: smooth over a 20 m distance window (\u00B110 m each side)\n const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null;\n const row = document.createElement('div');\n row.className = 'chart-row';\n row.dataset.metric = metricKey;\n row.style.setProperty('--chart-color', def.color);\n\n // Header\n const header = document.createElement('div');\n header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`;\n\n const labelEl = document.createElement('div');\n labelEl.className = 'chart-row-label-group';\n labelEl.innerHTML = `\n ${def.icon}\n ${def.label}\n `;\n\n // Smoothing toggle\n const smoothBtn = document.createElement('button');\n smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`;\n smoothBtn.title = 'Toggle data smoothing';\n smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`;\n smoothBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey);\n else smoothedMetrics.add(metricKey);\n\n render(true); // Re-render all charts to keep sync if needed (though only this one changes data)\n });\n\n const mapColorBtn = document.createElement('button');\n\n mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`;\n mapColorBtn.dataset.metric = metricKey;\n mapColorBtn.title = 'Color map track by this metric';\n mapColorBtn.innerHTML = 'colorize';\n mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey));\n\n // Zero-filter toggle (Cadence/Power/Speed)\n let zeroBtn: HTMLButtonElement | null = null;\n if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') {\n zeroBtn = document.createElement('button');\n const incZero = metricsIncludingZero.has(metricKey);\n zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`;\n zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values';\n zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`;\n zeroBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey);\n else metricsIncludingZero.add(metricKey);\n render(true);\n });\n }\n\n const statsTotalEl = document.createElement('div');\n statsTotalEl.className = 'chart-stats-total';\n\n const statsSelEl = document.createElement('div');\n statsSelEl.className = 'chart-stats-selection';\n\n const statsContainer = document.createElement('div');\n statsContainer.className = 'chart-row-stats-container';\n statsContainer.append(statsTotalEl, statsSelEl);\n\n const actionsEl = document.createElement('div');\n actionsEl.className = 'chart-row-actions';\n actionsEl.append(smoothBtn, mapColorBtn);\n\n const rightActionsEl = document.createElement('div');\n rightActionsEl.className = 'chart-row-right-actions';\n\n if (metricKey === 'speed') {\n const paceToggle = document.createElement('div');\n paceToggle.className = 'seg-ctrl';\n paceToggle.innerHTML = `\n \n \n `;\n paceToggle.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const mode = btn.dataset.mode;\n if (mode === 'speed' || mode === 'pace') {\n const isDefault = mode === defaultMode;\n UrlState.patch({ speed_mode: isDefault ? null : mode });\n render(true);\n }\n });\n rightActionsEl.append(paceToggle);\n }\n\n if (zeroBtn) rightActionsEl.append(zeroBtn);\n\n header.append(labelEl, actionsEl, statsContainer, rightActionsEl);\n\n const rowBody = document.createElement('div');\n rowBody.className = 'chart-row-body';\n\n const plotEl = document.createElement('div');\n plotEl.style.position = 'relative';\n rowBody.appendChild(plotEl);\n\n const fixedMinLabel = document.createElement('div');\n fixedMinLabel.className = 'fixed-x-label fixed-x-min';\n const fixedMaxLabel = document.createElement('div');\n fixedMaxLabel.className = 'fixed-x-label fixed-x-max';\n plotEl.append(fixedMinLabel, fixedMaxLabel);\n\n const histCol = document.createElement('div');\n histCol.className = `hist-col${statsVisible ? ' visible' : ''}`;\n const histCanvas = document.createElement('canvas');\n histCanvas.className = 'hist-canvas';\n histCol.appendChild(histCanvas);\n rowBody.appendChild(histCol);\n\n row.append(header, rowBody);\n\n const isDistAxis = xAxis === 'distance';\n\n function formatX(v: number, range: number): string {\n if (v == null) return '';\n if (isDistAxis) {\n const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0;\n return `${v.toFixed(dec)} km`;\n } else {\n const absV = Math.abs(v);\n const h = Math.floor(absV / 3600);\n const m = Math.floor((absV % 3600) / 60);\n const s = Math.round(absV % 60);\n const hh = h > 0 ? `${h}:` : '';\n const mm = h > 0 ? String(m).padStart(2, '0') : String(m);\n const ss = String(s).padStart(2, '0');\n return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`;\n }\n }\n\n const incZeroDefault =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Compute global Y range and full-track stats in a single pass\n let gMin = Infinity,\n gMax = -Infinity,\n allSum = 0,\n allCount = 0,\n filtMin = Infinity,\n filtMax = -Infinity,\n filtSum = 0,\n filtCount = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < gMin) gMin = v;\n if (v > gMax) gMax = v;\n allSum += v;\n allCount++;\n if (v !== 0 || incZeroDefault) {\n if (v < filtMin) filtMin = v;\n if (v > filtMax) filtMax = v;\n filtSum += v;\n filtCount++;\n }\n }\n if (allCount === 0) {\n gMin = 0;\n gMax = 100;\n }\n const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null;\n const fullStatsFiltered = filtCount\n ? { min: filtMin, max: filtMax, avg: filtSum / filtCount }\n : null;\n const gPad = Math.abs(gMax - gMin) * 0.1 || 1;\n const fixedYRange = [gMin - gPad, gMax + gPad];\n\n let statsTotalInitialized = false;\n\n // Per-range stats\n function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) {\n const incZero =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Update fixed X labels\n const range = visibleMax - visibleMin;\n fixedMinLabel.textContent = formatX(visibleMin, range);\n fixedMaxLabel.textContent = formatX(visibleMax, range);\n\n const getHtml = (xMin: number, xMax: number, isFull = false) => {\n const s =\n isFull && incZero === incZeroDefault\n ? fullStatsFiltered\n : rangeStats(xData, yData, xMin, xMax, incZero);\n if (!s) return '';\n\n let h = `\n align_flex_end${def.fmt(s.min, true)} ${def.unit}\n align_center${def.fmt(s.avg, true)} ${def.unit}\n align_flex_start${def.fmt(s.max, true)} ${def.unit}\n `;\n\n if (metricKey === 'elevation') {\n const es = elevationRangeStats(pts, xMin, xMax);\n h += `\n trending_up+${Math.round(es.gain)} m\n trending_down-${Math.round(es.loss)} m\n `;\n }\n return h;\n };\n\n if (!statsTotalInitialized) {\n statsTotalInitialized = true;\n statsTotalEl.innerHTML = `all_inclusive${getHtml(\n xData[0]!,\n xData[xData.length - 1]!,\n true,\n )}`;\n statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => {\n e.stopPropagation();\n cancelSelection();\n });\n }\n\n if (selAnchorVal !== null && selEndVal !== null) {\n statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false);\n statsSelEl.style.display = 'flex';\n statsSelEl.style.setProperty('--sel-color', def.color);\n } else {\n statsSelEl.style.display = 'none';\n }\n }\n let initializingScale = false;\n const uOpts: uPlot.Options = {\n width: w,\n height: 130,\n padding: [4, 0, 0, 0],\n cursor: {\n sync: {\n key: syncKey!.key,\n },\n drag: { x: true, y: false, uni: 16 },\n focus: { prox: 16 },\n points: {\n size: 7,\n stroke: '#0e0e10',\n width: 2,\n fill: (metricKey === 'elevation'\n ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null)\n : def.color) as any,\n },\n x: false,\n y: false,\n },\n select: {\n show: true,\n left: 0,\n top: 0,\n width: 0,\n height: 0,\n },\n legend: { show: false },\n scales: {\n x: {\n time: false,\n range: (_u: uPlot, mn: number, mx: number) => [mn, mx],\n min: initialRange ? initialRange[0] : undefined,\n max: initialRange ? initialRange[1] : undefined,\n },\n y: {\n range: () => fixedYRange as [number, number],\n dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1,\n },\n },\n axes: [\n {\n side: 2, // bottom\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: {\n show: true,\n stroke: '#2e2e34',\n },\n size: 30,\n space: 80,\n font: '10px system-ui, sans-serif',\n splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => {\n const range = scaleMax - scaleMin;\n const width = u.bbox.width > 0 ? u.bbox.width : u.width;\n const targetLabels = width / 80;\n const idealIncr = range / targetLabels;\n\n let incrs;\n if (!isDistAxis) {\n // Time in seconds\n incrs = [\n 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200,\n 86400, 604800, 2592000, 31536000,\n ];\n } else {\n incrs = [\n 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,\n 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000,\n ];\n }\n\n let incr = incrs[incrs.length - 1];\n for (let i = 0; i < incrs.length; i++) {\n if (incrs[i] >= idealIncr) {\n incr = incrs[i];\n break;\n }\n }\n\n const splits = [];\n let val = Math.ceil(scaleMin / incr) * incr;\n const precision = incr < 1 ? 2 : 0;\n\n while (val <= scaleMax) {\n const pos = u.valToPos(val, 'x', true);\n if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80)\n splits.push(Number(val.toFixed(precision)));\n\n val += incr;\n }\n return splits;\n },\n values: ((_u: uPlot, vals: number[]) => {\n const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0);\n\n return vals.map((v) => {\n if (v == null) return '';\n const pos = _u.valToPos(v, 'x', true);\n // Strict 80px margin to prevent overlapping with fixed labels or Y axis\n if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null;\n return formatX(v, range);\n });\n }) as any,\n },\n {\n side: 3, // left\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: { stroke: '#2e2e34' },\n size: 55,\n font: '10px system-ui, sans-serif',\n values: ((_u: uPlot, vals: number[]) =>\n vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any,\n },\n ],\n series: [\n {},\n // Main selected track series\n {\n label: def.label,\n stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering\n width: 0,\n points: { show: false },\n paths: () => null,\n },\n ],\n hooks: {\n draw: [\n (u: uPlot) => {\n const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area!\n fixedMinLabel.style.top = `${top}px`;\n fixedMinLabel.style.left = `${u.bbox.left}px`;\n\n fixedMaxLabel.style.top = `${top}px`;\n fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`;\n fixedMaxLabel.style.transform = 'translateX(-100%)';\n },\n // 1. (bottom) Color / metric color of the selected track\n (u: uPlot) => {\n if (metricKey === 'gears') {\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n } else if (metricKey === 'elevation') {\n drawElevationGradient(u, xData as number[], yData as number[], gradData);\n } else if (metricKey === 'gradient') {\n drawGradientChart(u, xData as number[], yData as number[]);\n } else if (mapColorMetric === metricKey) {\n drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey);\n } else {\n // Normal colored line\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n }\n },\n\n // 2. Pinned point (middle)\n (u: uPlot) => {\n const plot = plots.find((p) => p.uplot === u);\n if (!plot) return;\n\n const s = (u as any)._strasse;\n // Priority 1: Global pinned point (all charts)\n if (pinnedPtIdx != null) {\n drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey);\n } else {\n if (s && s.pinYVal) s.pinYVal.style.display = 'none';\n\n // Priority 2: Individual histogram pinned Y-pos (this chart only)\n if (plot.pinnedHistY != null)\n drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def);\n }\n },\n\n // 3. Pinned & Hover elements (labels, vertical lines)\n (u: uPlot) => {\n const hIdx = u.cursor.idx;\n const hasPinned = pinnedPtIdx != null;\n\n let hasHover = hIdx != null && u.cursor.left! >= 0;\n if (hasHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[hIdx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) hasHover = false;\n }\n\n // B. Draw Hover vertical line\n if (hasHover && hIdx !== pinnedPtIdx)\n drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0);\n\n // C. Bold selection x-axis line & span pill\n if (selAnchorVal != null && selEndVal != null) {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ax = u.valToPos(selAnchorVal, 'x', true);\n const ex = u.valToPos(selEndVal, 'x', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.lineWidth = 3 * dpr;\n ctx.strokeStyle = def.color;\n ctx.moveTo(ax, bb.top + bb.height);\n ctx.lineTo(ex, bb.top + bb.height);\n ctx.stroke();\n\n const span = Math.abs(selEndVal - selAnchorVal);\n const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span);\n const fontSize = 9 * dpr;\n const fontStr = `bold ${fontSize}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n\n const visibleL = Math.max(bb.left, ax);\n const visibleR = Math.min(bb.left + bb.width, ex);\n const visibleW = visibleR - visibleL;\n\n if (visibleW > tw + 14 * dpr) {\n const padH = 5 * dpr;\n const padV = 2 * dpr;\n const bw = tw + padH * 2;\n const bh = fontSize + padV * 2;\n const bx = (visibleL + visibleR) / 2 - bw / 2;\n const by = bb.top + bb.height - bh / 2;\n\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = def.color;\n ctx.fill();\n\n ctx.fillStyle = '#000';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2);\n }\n ctx.restore();\n }\n\n // D. Draw label pills (on top)\n // Pinned labels first (semi-transparent)\n if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7);\n\n // Hover labels last (fully opaque, topmost)\n if (hasHover && hIdx !== pinnedPtIdx)\n drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0);\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (scaleSyncing) return;\n const idx = u.cursor.idx;\n\n // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live\n // Note: uPlot handles cross-chart sync when syncKey is used.\n u.redraw(false);\n\n // Track current x-value for keyboard navigation\n if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x');\n else lastMouseXVal = null;\n\n // \u2500\u2500 Floating y-value next to cursor dot \u2500\u2500\n const s = (u as any)._strasse;\n let showHover = idx != null && yData[idx] != null;\n\n // Distance threshold: if no pinned point, check proximity to data line\n if (showHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[idx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) showHover = false;\n }\n\n if (s) {\n if (showHover)\n updateTooltip(\n u,\n s.curYVal,\n idx!,\n xData as number[],\n yData as number[],\n pts,\n def,\n metricKey,\n );\n else s.curYVal.style.display = 'none';\n }\n\n // Map marker\n if (!cursorSyncing) {\n if (idx != null && pts[idx]) {\n if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) {\n onCursorMoveCb(pts[idx]);\n } else if (onCursorMoveCb && !showHover) {\n // If we're too far and nothing is pinned, hide map cursor\n onCursorMoveCb(null);\n }\n } else if (idx === null && onCursorMoveCb) {\n onCursorMoveCb(null);\n }\n }\n\n // Highlight matching histogram bucket\n if (idx != null && yData[idx] != null) {\n const { min, max } = histData;\n if (min != null && max != null) {\n const span = max - min || 1;\n const binI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[idx]! - min) / span) * histData.BINS),\n );\n if (plot.hoveredHistY !== yData[idx]) {\n plot.hoveredHistY = yData[idx];\n drawHistogram(histCanvas, histData, 130, binI);\n }\n }\n } else if (plot.hoveredHistY !== null) {\n plot.hoveredHistY = null;\n drawHistogram(histCanvas, histData, 130);\n }\n },\n ],\n\n setScale: [\n (u: uPlot, key: string) => {\n if (key !== 'x' || initializingScale) return;\n const { min, max } = u.scales.x!;\n\n // Sync currentXRange so keyboard navigation baseline is always accurate\n currentXRange = [min!, max!];\n\n // Update header stats for VISIBLE range\n updateHeaderStats(min as number, max as number, u);\n\n if (scaleSyncing) return;\n\n // Clear keyboard target when user interacts via mouse\n if (!updatingRange) targetXRange = null;\n\n // Sync sibling plots\n scaleSyncing = true;\n plots.forEach(({ uplot: other }) => {\n if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! }));\n });\n scaleSyncing = false;\n\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb && selAnchorVal !== null)\n onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n },\n ],\n\n setSelect: [\n (u: uPlot) => {\n if (updatingRange) return;\n targetXRange = null;\n const { left, width } = u.select;\n if (width > 0) {\n const min = u.posToVal(left, 'x');\n const max = u.posToVal(left + width, 'x');\n selAnchorVal = min;\n selEndVal = max;\n\n // Sync stats to new selection\n updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u);\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n\n // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction\n u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false);\n }\n },\n ],\n },\n };\n\n // \u2500\u2500 Overlay (pointer-events off except handles) \u2500\u2500\n const overlay = document.createElement('div');\n overlay.style.cssText =\n 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5';\n\n // Selection fill\n const selFill = document.createElement('div');\n selFill.className = 'sel-fill';\n selFill.style.display = 'none';\n\n // Anchor line + label + drag handle\n const anchorLine = document.createElement('div');\n anchorLine.className = 'sel-line sel-line-anchor';\n anchorLine.style.display = 'none';\n\n const anchorLabel = document.createElement('div');\n anchorLabel.className = 'sel-line-label sel-line-label-anchor';\n anchorLabel.style.display = 'none';\n\n const anchorHandle = document.createElement('div');\n anchorHandle.className = 'sel-handle sel-handle-anchor';\n anchorHandle.style.display = 'none';\n\n const anchorMarker = document.createElement('div');\n anchorMarker.className = 'sel-graph-marker';\n anchorMarker.innerHTML =\n 'play_circle';\n anchorMarker.style.display = 'none';\n\n // End line + label + drag handle\n const endLine = document.createElement('div');\n endLine.className = 'sel-line sel-line-end';\n endLine.style.display = 'none';\n\n const endLabel = document.createElement('div');\n endLabel.className = 'sel-line-label sel-line-label-end';\n endLabel.style.display = 'none';\n\n const endHandle = document.createElement('div');\n endHandle.className = 'sel-handle sel-handle-end';\n endHandle.style.display = 'none';\n\n const endMarker = document.createElement('div');\n endMarker.className = 'sel-graph-marker';\n endMarker.innerHTML =\n 'stop_circle';\n endMarker.style.display = 'none';\n\n // Floating cursor y-value\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${def.color};display:none`;\n\n // Floating pinned y-value\n const pinYVal = document.createElement('div');\n pinYVal.className = 'cur-y-val pin';\n pinYVal.style.cssText = `color:${def.color};display:none`;\n\n overlay.append(\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n );\n\n const histData: HistData = {\n yData,\n xData: xData as number[],\n def,\n BINS: 24,\n min: allCount ? gMin : undefined,\n max: allCount ? gMax : undefined,\n fullStats: fullStatsFiltered,\n fullStatsAll,\n };\n const plot: PlotData = {\n uplot: null as any,\n row,\n xData: xData as number[],\n yData,\n def,\n metricKey,\n statsTotalEl,\n statsSelEl,\n histCol,\n histCanvas,\n histData,\n hoveredHistY: null,\n pinnedHistY: null,\n smoothed: smoothedMetrics.has(metricKey),\n incZero: metricsIncludingZero.has(metricKey),\n w,\n };\n histData.plot = plot; // Back-reference for tooltip to trigger redraws\n\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => {\n plot.uplot = self as WegPlot;\n plots.push(plot);\n plotEl.appendChild(self.root);\n self.over.appendChild(overlay);\n (self as any)._strasse = {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n updateHeaderStats,\n };\n self.batch(() => {\n init();\n });\n }) as WegPlot;\n scaleSyncing = prevSync;\n\n // \u2500\u2500 Handle drag \u2500\u2500\n attachHandleDrag(anchorHandle, uplot, xData, true);\n attachHandleDrag(endHandle, uplot, xData, false);\n\n // \u2500\u2500 Mouse listeners \u2500\u2500\n let mousedownX: number | null = null;\n uplot.over.addEventListener('mousedown', (e) => {\n if (e.button !== 0) return;\n isDragging = false;\n const rect = uplot.over.getBoundingClientRect();\n const xPx = e.clientX - rect.left;\n mousedownX = xPx;\n });\n uplot.over.addEventListener('mousemove', (e) => {\n if (mousedownX !== null) {\n const rect = uplot.over.getBoundingClientRect();\n if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true;\n }\n });\n uplot.over.addEventListener('mouseup', () => {\n mousedownX = null;\n });\n\n // Click to pin point (sticky selection)\n uplot.over.addEventListener('click', () => {\n if (isDragging) return;\n const idx = uplot.cursor.idx;\n if (idx != null && pts[idx]) {\n pinnedPtIdx = idx;\n plots.forEach(({ uplot: u }) => u.redraw(false));\n if (onClickCb) onClickCb(pts[idx], idx);\n if (onPinChangeCb) onPinChangeCb(idx);\n }\n });\n\n row.addEventListener('dblclick', cancelSelection);\n\n let initHoverBinI: number | null = null;\n if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) {\n buildHistBins(histData);\n if (histData.min != null && histData.max != null) {\n const span = histData.max - histData.min || 1;\n initHoverBinI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS),\n );\n plot.hoveredHistY = yData[pinnedPtIdx];\n }\n }\n\n drawHistogram(histCanvas, histData, 130, initHoverBinI);\n attachHistTooltip(histCanvas, histData);\n if (container) {\n if (insertBeforeEl) container.insertBefore(row, insertBeforeEl);\n else container.appendChild(row);\n }\n }\n\n // \u2500\u2500 Selection overlay (fill + lines + handles) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateSelOverlay() {\n updateAnchorLines();\n // Redraw canvas markers (bold selection line + span pill)\n plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false)));\n }\n\n function updateAnchorLines() {\n plots.forEach(({ uplot: u, def }) => {\n const s = (u as any)._strasse;\n if (!s) return;\n const {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n } = s;\n if (selAnchorVal == null || selEndVal == null) {\n [\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n ].forEach((el: HTMLElement) => {\n el.style.display = 'none';\n });\n return;\n }\n const aX = u.valToPos(selAnchorVal, 'x');\n const eX = u.valToPos(selEndVal, 'x');\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const overW = bb.width / dpr;\n const overH = bb.height / dpr;\n const plotBottom = (bb.top + bb.height) / dpr;\n\n const isAnchorVisible = aX >= 0 && aX <= overW;\n const isEndVisible = eX >= 0 && eX <= overW;\n\n // Fill: clamp left/right to visible area\n const fillL = Math.max(0, aX);\n const fillR = Math.min(overW, eX);\n if (fillR > fillL) {\n selFill.style.left = `${fillL}px`;\n selFill.style.width = `${fillR - fillL}px`;\n selFill.style.top = '0';\n selFill.style.height = `${overH}px`;\n selFill.style.backgroundColor = hexToRgba(def.color, 0.07);\n selFill.style.display = '';\n } else {\n selFill.style.display = 'none';\n }\n\n // Anchor line\n if (isAnchorVisible) {\n anchorLine.style.left = `${aX}px`;\n anchorLine.style.height = `${overH}px`;\n anchorLine.style.borderLeftColor = def.color;\n anchorLine.style.display = '';\n // Anchor label\n const aText = fmtXVal(selAnchorVal);\n anchorLabel.textContent = aText;\n const aLabelW = aText.length * 7 + 10;\n anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`;\n anchorLabel.style.display = '';\n // Anchor handle\n anchorHandle.style.left = `${aX}px`;\n anchorHandle.style.backgroundColor = def.color;\n anchorHandle.style.display = '';\n // Anchor marker: centered on the bold line\n anchorMarker.style.left = `${aX}px`;\n anchorMarker.style.top = `${plotBottom}px`;\n const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (aIcon) aIcon.style.color = def.color;\n anchorMarker.style.display = '';\n } else {\n [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n\n // End line\n if (isEndVisible) {\n endLine.style.left = `${eX}px`;\n endLine.style.height = `${overH}px`;\n endLine.style.borderLeftColor = def.color;\n endLine.style.display = '';\n // End label\n const eText = fmtXVal(selEndVal);\n endLabel.textContent = eText;\n const eLabelW = eText.length * 7 + 10;\n endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`;\n endLabel.style.display = '';\n // End handle\n endHandle.style.left = `${eX}px`;\n endHandle.style.backgroundColor = def.color;\n endHandle.style.display = '';\n // End marker: centered on the bold line\n endMarker.style.left = `${eX}px`;\n endMarker.style.top = `${plotBottom}px`;\n const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (eIcon) eIcon.style.color = def.color;\n endMarker.style.display = '';\n } else {\n [endLine, endLabel, endHandle, endMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n });\n }\n\n function fmtXVal(v: number) {\n return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v);\n }\n\n // \u2500\u2500 Handle drag logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function attachHandleDrag(\n handleEl: HTMLElement,\n uplot: uPlot,\n xData: (number | null)[],\n isAnchor: boolean,\n ) {\n // pointer-events enabled on the handle itself\n handleEl.style.pointerEvents = 'auto';\n\n handleEl.addEventListener('mousedown', (e) => {\n e.stopPropagation();\n e.preventDefault();\n const startX = e.clientX;\n const startVal = isAnchor ? selAnchorVal : selEndVal;\n const overW = uplot.over.offsetWidth;\n // px-per-data-unit at current zoom\n const xMin = uplot.scales.x!.min!,\n xMax = uplot.scales.x!.max!;\n const pxPerUnit = overW / (xMax - xMin);\n const xFull = [xData[0]!, xData[xData.length - 1]!];\n\n document.body.style.cursor = 'ew-resize';\n isDragging = true;\n\n function onMove(me: MouseEvent) {\n const dx = me.clientX - startX;\n let newVal = (startVal || 0) + dx / pxPerUnit;\n newVal = Math.max(xFull[0], Math.min(xFull[1], newVal));\n\n if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001);\n else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001);\n\n // When dragging handles, we typically want to stay zoomed to the selection?\n // Actually, let's keep the zoom as is, and just update the selection overlay and stats.\n plots.forEach((p) =>\n (p.uplot as any)._strasse?.updateHeaderStats(\n p.uplot.scales.x!.min!,\n p.uplot.scales.x!.max!,\n ),\n );\n updateSelOverlay();\n redrawHistograms();\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n }\n\n function onUp() {\n document.body.style.cursor = '';\n isDragging = false;\n document.removeEventListener('mousemove', onMove);\n document.removeEventListener('mouseup', onUp);\n }\n\n document.addEventListener('mousemove', onMove);\n document.addEventListener('mouseup', onUp);\n });\n }\n\n // \u2500\u2500 Histogram logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function buildHistBins(histData: HistData) {\n const { yData, xData, BINS } = histData;\n\n // Cache to avoid re-binning every frame during hover\n if (histData._lastYData === yData && histData.bins) return;\n histData._lastYData = yData;\n\n let min = histData.min;\n let max = histData.max;\n if (min == null || max == null) {\n let lo = Infinity,\n hi = -Infinity,\n cnt = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < lo) lo = v;\n if (v > hi) hi = v;\n cnt++;\n }\n if (!cnt) return;\n min = lo;\n max = hi;\n histData.min = min;\n histData.max = max;\n }\n\n const bins = new Array(BINS).fill(0);\n const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km)\n\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n bins[bi]++;\n\n // weight by x-delta\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n binAccum[bi] += (next - prev) / 2;\n }\n histData.bins = bins;\n histData.binAccum = binAccum;\n }\n\n function redrawHistograms() {\n plots.forEach(({ histCanvas, histData, uplot: u }) => {\n drawHistogram(histCanvas, histData, u.height);\n });\n }\n\n function drawHistogram(\n canvas: HTMLCanvasElement,\n histData: HistData,\n chartH: number,\n hoverBinI: number | null = null,\n ) {\n const { def, BINS } = histData;\n buildHistBins(histData);\n const { bins, min, max } = histData;\n if (!bins || min == null || max == null) return;\n\n const hasSel = selAnchorVal != null && selEndVal != null;\n\n // Compute selection bins if a range is active and changed\n if (\n hasSel &&\n (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal)\n ) {\n histData._lastSelRange = [selAnchorVal!, selEndVal!];\n const selBins = new Array(BINS).fill(0);\n const selBinAccum = new Array(BINS).fill(0);\n const { yData, xData } = histData;\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const x = xData[i];\n if (x == null || x < selAnchorVal! || x > selEndVal!) continue;\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n selBins[bi]++;\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n selBinAccum[bi] += (next - prev) / 2;\n }\n histData.selBins = selBins;\n histData.selBinAccum = selBinAccum;\n } else if (!hasSel) {\n histData.selBins = null;\n histData.selBinAccum = null;\n histData._lastSelRange = null;\n }\n const selBins = histData.selBins;\n\n const dpr = window.devicePixelRatio || 1;\n const W = HIST_W;\n const H = chartH;\n\n // Performance: only set dimensions if they changed (resets canvas)\n if (canvas.width !== W * dpr || canvas.height !== H * dpr) {\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n canvas.style.width = `${W}px`;\n canvas.style.height = `${H}px`;\n }\n\n const ctx = canvas.getContext('2d')!;\n ctx.resetTransform();\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const peak = Math.max(...bins);\n\n // Measure label width so bars start right after them\n const fmt = (v: number) => def.fmtAxis(v);\n const fontStr = '9px system-ui, sans-serif';\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const labelW = Math.ceil(\n Math.max(\n ctx.measureText(`${fmt(max)} ${def.unit}`).width,\n ctx.measureText(`${fmt(min)} ${def.unit}`).width,\n ),\n );\n\n // Vertical alignment with main graph:\n // uPlot padding: [4, 0, 0, 0]\n // Axis size: 30\n const pad = { t: 4, r: 0, b: 30, l: labelW + 6 };\n histData.padL = pad.l;\n const plotW = W - pad.l - pad.r;\n const plotH = H - pad.t - pad.b;\n\n // bin 0 = lowest values \u2192 drawn at bottom; bin BINS-1 = highest \u2192 drawn at top\n const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS);\n const binH = plotH / BINS - 1;\n\n // Full distribution (dimmed when selection active)\n const baseAlpha = hasSel ? 0.15 : 0.6;\n ctx.fillStyle = hexToRgba(def.color, baseAlpha);\n for (let i = 0; i < BINS; i++) {\n if (!bins[i]) continue;\n const bw = (bins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n\n // Selection overlay (bright)\n if (selBins) {\n ctx.fillStyle = hexToRgba(def.color, 0.85);\n for (let i = 0; i < BINS; i++) {\n if (!selBins[i]) continue;\n const bw = (selBins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n ctx.fillStyle = def.color;\n ctx.fillRect(pad.l, pad.t, 2, plotH);\n }\n\n // CDF overlay \u2014 smooth curve from bottom (0%) to top (100%)\n const total = bins.reduce((s, v) => s + v, 0);\n if (total > 0) {\n // Build CDF points: one per bin boundary, bottom\u2192top\n const pts2 = [{ x: pad.l, y: pad.t + plotH }];\n let cumSum = 0;\n for (let i = 0; i < BINS; i++) {\n cumSum += bins[i];\n pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) });\n }\n\n ctx.beginPath();\n // CDF line is now solid\n ctx.setLineDash([]);\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 0.75 * dpr;\n ctx.lineJoin = 'round';\n ctx.moveTo(pts2[0].x, pts2[0].y);\n for (let i = 1; i < pts2.length - 1; i++) {\n const mx = (pts2[i].x + pts2[i + 1].x) / 2;\n const my = (pts2[i].y + pts2[i + 1].y) / 2;\n ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my);\n }\n ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y);\n ctx.stroke();\n\n // \u2500\u2500 Hover highlight on CDF \u2500\u2500\n if (hoverBinI != null && pts2[hoverBinI + 1]) {\n const cp = pts2[hoverBinI + 1];\n // Vertical line down\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(def.color, 0.6);\n ctx.moveTo(cp.x, cp.y);\n ctx.lineTo(cp.x, pad.t + plotH);\n ctx.stroke();\n ctx.setLineDash([]);\n\n // Dot: tiny precision point\n ctx.beginPath();\n ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n }\n\n // Axis labels: max at top, min at bottom\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n const font9 = '9px system-ui, sans-serif';\n if (ctx.font !== font9) ctx.font = font9;\n ctx.textAlign = 'right';\n\n // Draw Max\n ctx.textBaseline = 'top';\n ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t);\n\n // Draw Min\n ctx.textBaseline = 'bottom';\n ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b);\n\n // Draw Avg (only if it doesn't overlap min/max)\n const stats =\n !hasSel && histData.fullStatsAll !== undefined\n ? histData.fullStatsAll\n : rangeStats(\n histData.xData,\n histData.yData,\n selAnchorVal || -Infinity,\n selEndVal || Infinity,\n );\n if (stats) {\n const avgY =\n pad.t +\n (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) *\n (plotH / BINS);\n const minLabelY = H - pad.b;\n const maxLabelY = pad.t;\n const labelHeight = 10; // Approx 10px height for 9px font\n\n if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) {\n ctx.textBaseline = 'middle';\n if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa';\n ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY);\n // Draw small indicator tick\n ctx.beginPath();\n ctx.moveTo(pad.l - 3, avgY);\n ctx.lineTo(pad.l, avgY);\n if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa';\n ctx.lineWidth = 1;\n ctx.stroke();\n }\n }\n\n // \u2500\u2500 Higher/Lower percentages below histogram \u2500\u2500\n if (hoverBinI != null && total > 0) {\n let countLower = 0;\n for (let i = 0; i < hoverBinI; i++) countLower += bins[i];\n let countHigher = 0;\n for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i];\n\n const pLower = Math.round((countLower / total) * 100);\n const pHigher = Math.round((countHigher / total) * 100);\n\n ctx.save();\n ctx.textAlign = 'left';\n ctx.textBaseline = 'top';\n const font8 = '8px system-ui, sans-serif';\n if (ctx.font !== font8) ctx.font = font8;\n\n const textY = H - pad.b + 6;\n\n // Draw \"Lower\" stat\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('LOWER', pad.l, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n const fontB10 = 'bold 10px system-ui, sans-serif';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pLower}%`, pad.l, textY + 10);\n\n // Draw \"Higher\" stat\n const midX = pad.l + plotW / 2;\n if (ctx.font !== font8) ctx.font = font8;\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('HIGHER', midX, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pHigher}%`, midX, textY + 10);\n\n ctx.restore();\n }\n }\n\n function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) {\n const { plot } = histData;\n\n canvas.addEventListener('click', (e) => {\n const binI = getBinAt(canvas, histData, e);\n if (binI != null && plot) {\n const { min, max, BINS } = histData;\n const span = max! - min! || 1;\n plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n }\n });\n\n canvas.addEventListener('mousemove', (e) => {\n lastHistMouseEvent = e;\n updateHistTooltip(e, canvas, histData);\n });\n\n canvas.addEventListener('mouseenter', () => {\n hoveredHistCanvas = canvas;\n hoveredHistData = histData;\n });\n\n canvas.addEventListener('mouseleave', () => {\n if (hoveredHistCanvas === canvas) {\n hoveredHistCanvas = null;\n hoveredHistData = null;\n }\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const lineEl = document.getElementById('hist-line');\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n });\n }\n\n function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) {\n const { bins, BINS } = histData;\n if (!bins) return null;\n const rect = canvas.getBoundingClientRect();\n const relY = e.clientY - rect.top;\n // Use exact padding from drawHistogram: t: 4, b: 30\n const pad = { t: 4, b: 30 };\n const plotH = rect.height - pad.t - pad.b;\n const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!);\n const binI = BINS! - 1 - rawI;\n if (rawI < 0 || rawI >= BINS!) return null;\n return binI;\n }\n\n function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) {\n if (!histTooltipEl) return;\n const { bins, binAccum, min, max, BINS, def, plot } = histData;\n if (!bins || !binAccum || min == null || max == null) return;\n\n const lineEl = document.getElementById('hist-line');\n const binI = getBinAt(canvas, histData, e);\n\n if (binI == null || !bins[binI]) {\n histTooltipEl.style.display = 'none';\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n return;\n }\n\n if (plot) {\n const span = max - min || 1;\n plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!);\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI);\n }\n\n const count = bins[binI];\n const total = bins.reduce((s, v) => s + v, 0);\n const pct = (count / total) * 100;\n\n const span = max - min || 1;\n const low = min + binI * (span / BINS!);\n const high = min + (binI + 1) * (span / BINS!);\n const label = `${def.fmt(low, true)} \u2013 ${def.fmt(high, true)} ${def.unit}`;\n\n // Zone info\n let zoneHtml = '';\n const mid = (low + high) / 2;\n const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def);\n let zones: any[] = [];\n if (metricKey === 'power') zones = Zones.getPowerZones();\n else if (metricKey === 'hr') zones = Zones.getHRZones();\n\n if (zones.length > 0) {\n const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max);\n const z =\n zIdx !== -1\n ? zones[zIdx]\n : mid >= zones[zones.length - 1].min\n ? zones[zones.length - 1]\n : null;\n if (z) {\n const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1;\n zoneHtml = `\n
\n Z${finalZIdx + 1}\n \u00B7\n ${z.name}\n
\n `;\n }\n }\n\n const totalAccum =\n xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]);\n const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100;\n\n let html = `\n
${label}
\n ${zoneHtml}\n `;\n\n if (totalAccum) {\n html += `
\n ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${totalAccum}\n ${totalPct.toFixed(1)}%\n
`;\n }\n\n // Selection context\n if (histData.selBins && histData.selBinAccum) {\n const stotalAccum =\n xAxis === 'distance'\n ? `${histData.selBinAccum[binI].toFixed(2)} km`\n : fmtSecs(histData.selBinAccum[binI]);\n const stotalPct =\n (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100;\n\n html += `\n
\n Sel ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${stotalAccum}\n ${stotalPct.toFixed(1)}%\n
\n `;\n }\n\n histTooltipEl.innerHTML = html;\n\n // Position tooltip: fixed X left of canvas, Y centered on bin\n histTooltipEl.style.display = 'block';\n const ttH = histTooltipEl.offsetHeight;\n const ttW = histTooltipEl.offsetWidth;\n const rect = canvas.getBoundingClientRect();\n const plotH = rect.height - 4 - 30; // pad.t + pad.b\n const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!);\n\n histTooltipEl.style.left = `${rect.left - ttW - 12}px`;\n histTooltipEl.style.top = `${binCenterY - ttH / 2}px`;\n\n // Horizontal line sync\n if (lineEl) {\n lineEl.style.display = 'block';\n lineEl.style.top = `${binCenterY}px`;\n lineEl.style.left = '0px';\n lineEl.style.width = `${rect.left}px`;\n }\n }\n\n // \u2500\u2500 Helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function destroyPlots(keepState = false) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n plots.forEach(({ uplot: u, row }) => {\n syncKey!.unsub(u);\n u.destroy();\n row.remove();\n });\n plots = [];\n renderedTrack = null;\n if (!keepState) {\n selAnchorVal = null;\n selEndVal = null;\n }\n isDragging = false;\n }\n\n function rangeStats(\n xData: (number | null)[],\n yData: (number | null)[],\n xMin: number,\n xMax: number,\n incZero = true,\n ) {\n let min = Infinity,\n max = -Infinity,\n sum = 0,\n n = 0;\n for (let i = 0; i < xData.length; i++) {\n if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue;\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n if (v < min) min = v;\n if (v > max) max = v;\n sum += v;\n n++;\n }\n return n ? { min, max, avg: sum / n } : null;\n }\n\n function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) {\n let gain = 0,\n loss = 0;\n let prevEle: number | null = null;\n const isDist = xAxis === 'distance';\n const t0 = pts[0].time || 0;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n if (x < xMin || x > xMax) continue;\n\n if (p.ele != null) {\n if (prevEle != null) {\n const diff = p.ele - prevEle;\n if (diff > 0) gain += diff;\n else if (diff < 0) loss += Math.abs(diff);\n }\n prevEle = p.ele;\n }\n }\n return { gain, loss };\n }\n\n // \u2500\u2500 Plot Rendering Helpers (Canvas) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateTooltip(\n u: WegPlot,\n el: HTMLElement,\n idx: number,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n def: MetricDefinition,\n metricKey: string,\n ) {\n if (idx == null || yData[idx] == null) {\n el.style.display = 'none';\n return;\n }\n\n const cx = u.valToPos(xData[idx]!, 'x', false);\n const cy = u.valToPos(yData[idx]!, 'y', false);\n\n let gColor = '#888896';\n let g = 0;\n if (idx > 0 && pts[idx] && pts[idx - 1]) {\n const p0 = pts[idx - 1],\n p1 = pts[idx];\n const d = (p1.dist || 0) - (p0.dist || 0);\n if (d > 0.1 && p1.ele != null && p0.ele != null) {\n g = ((p1.ele - p0.ele) / d) * 100;\n gColor = gradientColor(g);\n }\n }\n\n let content =\n metricKey !== 'elevation'\n ? `${def.fmt(yData[idx]!, false)} ${def.unit}`\n : `${def.fmt(yData[idx]!, false)} ${def.unit} \u2220 ${Math.abs(g).toFixed(1)}%`;\n\n // Special handling for gears: show tooth count if available\n if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) {\n content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) {\n content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gears') {\n const p = pts[idx];\n const front =\n p.gearFrontTooth != null\n ? `${p.gearFrontTooth}T`\n : p.gearFront != null\n ? `pos ${p.gearFront}`\n : '';\n const rear =\n p.gearRearTooth != null\n ? `${p.gearRearTooth}T`\n : p.gearRear != null\n ? `pos ${p.gearRear}`\n : '';\n\n if (front || rear)\n content += ` (${front} / ${rear})`;\n }\n\n if (el.innerHTML !== content) el.innerHTML = content;\n\n const color44 = `${def.color}44`;\n if (el.style.color !== def.color) el.style.color = def.color;\n if (el.style.borderColor !== color44) el.style.borderColor = color44;\n\n const left = `${cx}px`;\n const top = `${cy}px`;\n const transform = 'translate(6px, -50%)';\n if (el.style.left !== left) el.style.left = left;\n if (el.style.top !== top) el.style.top = top;\n if (el.style.transform !== transform) el.style.transform = transform;\n if (el.style.display !== '') el.style.display = '';\n }\n\n const gradientColorRgbaCache = new Map();\n function gradientColorRgba(g: number | null): string {\n let c = gradientColorRgbaCache.get(g);\n if (!c) {\n c = hexToRgba(gradientColor(g), 0.8);\n gradientColorRgbaCache.set(g, c);\n }\n return c;\n }\n\n function drawElevationGradient(\n u: uPlot,\n xData: number[],\n yData: number[],\n gradData: (number | null)[] | null,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawGradientChart(u: uPlot, xData: number[], yData: number[]) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = Math.round(yData[i]! / 2) * 2;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) {\n const idx = u.cursor.idx;\n if (idx == null || yData[idx] == null || u.cursor.left! < 0) return;\n\n const t0 = pts[0].time || 0;\n const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yData[idx], 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Line from top to point + horizontal from left\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, cy);\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Dot at point\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n\n function drawVerticalLineOnly(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const xVal =\n xAxis === 'distance'\n ? (pts[idx].dist || 0) / 1000\n : (pts[idx].time! - (pts[0].time || 0)) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n // Dotted line range should match where labels are (flush top to bottom axis)\n ctx.moveTo(cx, bb.top + 16 * dpr);\n ctx.lineTo(cx, bb.top + bb.height + 10 * dpr);\n ctx.stroke();\n ctx.restore();\n }\n\n function drawXAxisLabels(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n skipLine = false,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const t0 = pts[0].time || 0;\n const distVal = (pts[idx].dist || 0) / 1000;\n const timeVal = (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true);\n\n // Bottom label: matches the current X axis unit\n const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal);\n // Top label: shows the other unit (simplified)\n const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`;\n\n const drawPill = (text: string, x: number, y: number, isTop: boolean) => {\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(text).width;\n const bw = tw + 10 * dpr;\n const bh = 16 * dpr;\n const rx = x - bw / 2;\n const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx));\n const ry = y - bh / 2;\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.setLineDash([]); // Ensure pills are not dashed\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr);\n else ctx.rect(clampedRx, ry, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.92)';\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr);\n ctx.restore();\n };\n\n if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity);\n\n const pillH = 16 * dpr;\n // Top label: flush to the top edge of the plot\n drawPill(topLabel, cx, bb.top + pillH / 2, true);\n\n // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area)\n drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false);\n }\n\n function drawPinnedDot(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n def: MetricDefinition,\n pts: TrackPoint[],\n metricKey: string,\n ) {\n if (pinnedPtIdx == null) return;\n const xVal = xData[pinnedPtIdx];\n const yVal = yData[pinnedPtIdx];\n if (xVal == null || yVal == null) return;\n\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n ctx.save();\n // Vertical line\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1.5 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, bb.top + bb.height);\n ctx.stroke();\n\n // Horizontal dashed line\n ctx.beginPath();\n ctx.setLineDash([3 * dpr, 3 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.5);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Large Dot\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2.5 * dpr;\n ctx.stroke();\n ctx.restore();\n\n const s = (u as any)._strasse;\n if (s && s.pinYVal) {\n updateTooltip(\n u,\n s.pinYVal,\n pinnedPtIdx,\n xData as number[],\n yData as (number | null)[],\n pts,\n def,\n metricKey,\n );\n }\n }\n\n function drawYAxisHighlight(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n yVal: number,\n color: string,\n def: MetricDefinition,\n ) {\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const cy = u.valToPos(yVal, 'y', true);\n\n // Clamp cy to bbox\n const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy));\n\n ctx.save();\n // Horizontal line\n ctx.beginPath();\n ctx.setLineDash([4 * dpr, 4 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cyClamp);\n ctx.lineTo(bb.left + bb.width, cyClamp);\n ctx.stroke();\n\n // Fill area above/below\n drawAreaFillAbove(u, xData, yData, cyClamp, color);\n\n // Pill label on Y-axis\n const label = def.fmt(yVal, true);\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n const bw = tw + 8 * dpr;\n const bh = 16 * dpr;\n const bx = bb.left - bw - 2 * dpr;\n const by = cyClamp - bh / 2;\n\n ctx.beginPath();\n ctx.setLineDash([]);\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.95)';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = '#fff';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr);\n ctx.restore();\n }\n\n function drawAreaFillAbove(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n cyClamp: number,\n color: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.beginPath();\n\n let inSegment = false;\n let hasAnySegment = false;\n let lastPx = 0;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null || xv < xMin || xv > xMax) {\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n lastPx = px;\n\n if (py < cyClamp) {\n if (!inSegment) {\n ctx.moveTo(px, cyClamp);\n inSegment = true;\n hasAnySegment = true;\n }\n ctx.lineTo(px, py);\n } else if (inSegment) {\n ctx.lineTo(px, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n }\n\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n }\n\n if (hasAnySegment) {\n ctx.fill();\n }\n\n ctx.restore();\n }\n\n // \u2500\u2500 Utils \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function lerpHex(a: string, b: string, t: number) {\n const ah = parseInt(a.slice(1), 16),\n bh = parseInt(b.slice(1), 16);\n const ar = ah >> 16,\n ag = (ah >> 8) & 0xff,\n ab = ah & 0xff;\n const br = bh >> 16,\n bg = (bh >> 8) & 0xff,\n bb = bh & 0xff;\n const rr = ar + (br - ar) * t,\n rg = ag + (bg - ag) * t,\n rb = ab + (bb - ab) * t;\n return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb))\n .toString(16)\n .slice(1)}`;\n }\n\n function gradientColor(g: number | null) {\n if (g == null) return '#888896';\n const absG = Math.abs(g);\n const t = Math.min(1, absG / 8);\n if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red\n return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue\n }\n\n function speedColor(s: number | null) {\n if (s == null) return '#888896';\n const kmh = s * 3.6;\n\n if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow\n if (kmh >= 60) return '#d73027'; // Solid Red for very fast\n\n // High resolution between 5 and 45 (10km/h per segment)\n if (kmh <= 45) {\n const t = (kmh - 5) / 40; // 0 to 1\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue\n if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green\n if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow\n return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange\n } else {\n // 45-60: Orange -> Red\n const t = (kmh - 45) / 15;\n return lerpHex('#fc8d59', '#d73027', t);\n }\n }\n\n function smoothGradient(pts: TrackPoint[], windowMetres: number) {\n const grads: (number | null)[] = new Array(pts.length).fill(null);\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n let j0 = i,\n j1 = i;\n while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--;\n while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++;\n const d = (pts[j1].dist || 0) - (pts[j0].dist || 0);\n if (d > 1 && pts[j1].ele != null && pts[j0].ele != null)\n grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100;\n }\n return grads;\n }\n\n function fillNulls(data: (number | null)[]) {\n const res = [...data];\n for (let i = 0; i < res.length; i++) {\n if (res[i] === null) {\n let left = i - 1;\n while (left >= 0 && res[left] === null) left--;\n let right = i + 1;\n while (right < res.length && res[right] === null) right++;\n if (left >= 0 && right < res.length)\n res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left);\n else if (left >= 0) res[i] = res[left];\n else if (right < res.length) res[i] = res[right];\n }\n }\n return res;\n }\n\n function updateStats(track: TrackData) {\n const s = track.stats;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '\u2014');\n fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014');\n fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '\u2014');\n\n // Recalculate averages from visible plot data to respect zero filtering\n const getAvg = (key: string) => {\n const p = plots.find((p) => p.metricKey === key);\n if (!p) {\n if (key === 'speed') return s.avgSpeed ?? null;\n if (key === 'power') return s.avgPower ?? null;\n if (key === 'cadence') return s.avgCadence ?? null;\n return null;\n }\n if (p.histData.fullStats !== undefined) {\n return p.histData.fullStats ? p.histData.fullStats.avg : null;\n }\n const incZero =\n metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed');\n const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0));\n if (!vals.length) return null;\n return vals.reduce((a, b) => a + b, 0) / vals.length;\n };\n\n const avgSpeed = getAvg('speed');\n fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014');\n\n const avgPower = getAvg('power');\n fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '\u2014');\n\n const avgCadence = getAvg('cadence');\n fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '\u2014');\n\n fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '\u2014');\n fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n }\n\n const INTERVAL_CAP = 16384;\n const ivPwr = new Float64Array(INTERVAL_CAP);\n const ivHr = new Float64Array(INTERVAL_CAP);\n const ivSpd = new Float64Array(INTERVAL_CAP);\n const ivEle = new Float64Array(INTERVAL_CAP);\n const ivCad = new Float64Array(INTERVAL_CAP);\n const ivSmoothed = new Float64Array(INTERVAL_CAP);\n const ivKdeBins = new Float64Array(64);\n const intervalWindows = [\n 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, 360,\n ];\n\n function analyzeTelemetryIntervals(\n tracksList: TrackData[],\n selStartSec: number,\n selEndSec: number,\n ) {\n if (!tracksList.length) return 0;\n ivKdeBins.fill(0);\n let intervalScore = 0;\n\n for (let ti = 0; ti < tracksList.length; ti++) {\n const pts = tracksList[ti].points;\n const n = Math.min(pts.length, INTERVAL_CAP);\n if (n < 4) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n ivPwr[i] = p.power || 0;\n ivHr[i] = p.hr || 0;\n ivSpd[i] = p.speed || 0;\n ivEle[i] = p.ele || 0;\n ivCad[i] = p.cad || 0;\n }\n\n // Single-pass Savitzky-Golay 5-point quadratic smoothing and section interval analysis\n const sStart = Math.max(0, Math.min(n - 1, Math.floor(selStartSec)));\n const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec)));\n const inv35 = 1 / 35;\n const invSigmaSq = 1 / 180;\n const omega = 0.012;\n\n for (let i = 2; i < n - 2; i++) {\n const sgPwr =\n (-3 * ivPwr[i - 2] +\n 12 * ivPwr[i - 1] +\n 17 * ivPwr[i] +\n 12 * ivPwr[i + 1] -\n 3 * ivPwr[i + 2]) *\n inv35;\n const sgHr =\n (-3 * ivHr[i - 2] +\n 12 * ivHr[i - 1] +\n 17 * ivHr[i] +\n 12 * ivHr[i + 1] -\n 3 * ivHr[i + 2]) *\n inv35;\n const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25;\n const dP = sgPwr - ivPwr[i];\n const gauss = Math.exp(-dP * dP * invSigmaSq);\n const harmonic = Math.cos(i * omega + ivCad[i] * 0.02);\n ivSmoothed[i] = sgPwr * gauss + sgHr * 0.8 + sgSpd * (ivCad[i] * 0.1 + harmonic);\n }\n\n const sectionRanges: [number, number][] = [\n [0, Math.floor(n * 0.25)],\n [Math.floor(n * 0.25), Math.floor(n * 0.6)],\n [Math.floor(n * 0.6), n],\n [sStart, sEnd],\n ];\n\n for (let si = 0; si < sectionRanges.length; si++) {\n const [secStart, secEnd] = sectionRanges[si];\n const secLen = secEnd - secStart;\n if (secLen < 4) continue;\n\n for (let wi = 0; wi < intervalWindows.length; wi++) {\n const w = intervalWindows[wi];\n if (w >= secLen) continue;\n const invW = 1 / w;\n let winSum = 0;\n let winEle = 0;\n let maxInterval = 0;\n for (let i = secStart; i < secEnd; i++) {\n winSum += ivSmoothed[i];\n winEle += ivEle[i];\n if (i - secStart >= w) {\n winSum -= ivSmoothed[i - w];\n winEle -= ivEle[i - w];\n const avg = (winSum + winEle * 0.05) * invW;\n if (avg > maxInterval) maxInterval = avg;\n }\n }\n intervalScore += maxInterval * 1e-4;\n }\n\n // Section Kernel Density Estimation (KDE) binning\n for (let i = secStart; i < secEnd; i++) {\n const norm = Math.max(0, Math.min(63, ((ivSmoothed[i] * 0.12) | 0) & 63));\n ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[secStart]) * 1e-3;\n if (norm > 0) ivKdeBins[norm - 1] += 0.5;\n if (norm < 63) ivKdeBins[norm + 1] += 0.5;\n }\n }\n }\n\n for (let b = 0; b < 64; b++) {\n intervalScore += ivKdeBins[b] * 1e-5;\n }\n if (container) {\n container.dataset.intervalScore = intervalScore.toFixed(2);\n }\n return intervalScore;\n }\n\n return {\n init,\n loadTrack,\n clear,\n resetState,\n toggleMetric,\n setXAxis,\n toggleStats,\n setSelectionStats,\n clearSelectionStats,\n restoreSelection,\n resetZoom,\n cancelSelection,\n analyzeTelemetryIntervals,\n setCursorAt: (idx: number, deferRender = false) => {\n pinnedPtIdx = idx;\n if (onPinChangeCb) onPinChangeCb(idx);\n if (deferRender) {\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n return;\n }\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n },\n setHoverAt: (idx: number | null) => {\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (idx === null) {\n u.batch(() => {\n (u as any).setCursor({ left: -10, top: -10 }, true, false);\n });\n } else if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb) {\n onCursorMoveCb(\n idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null,\n );\n }\n },\n clearPinnedDot: () => {\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n },\n resize,\n METRICS,\n isDragging: () => isDragging,\n setMapColorChangeCb,\n toggleMapColor,\n getMapColorMetric: () => mapColorMetric,\n getActiveMetrics: () => activeMetrics,\n getAvailableMetrics: () => availableMetrics,\n setActiveMetrics,\n setSmooth,\n setZeroInclusion,\n updateMetricOrder: (keys: string[]) => {\n // Keys might only contain current active ones, or more.\n // We want to re-order activeMetrics to match the order in 'keys'\n const newActive = new Set();\n keys.forEach((k) => {\n if (activeMetrics.has(k)) newActive.add(k);\n });\n // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND)\n activeMetrics.forEach((k) => {\n if (!newActive.has(k)) newActive.add(k);\n });\n activeMetrics = newActive;\n if (currentTrack) render(true);\n },\n getXAxis: () => xAxis,\n };\n\n function drawMetricColorFill(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n metricKey: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const colors = _computePointColors(metricKey, yData);\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (let i = 1; i < xData.length; i++) {\n if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null)\n continue;\n const x0 = u.valToPos(xData[i - 1]!, 'x', true);\n const y0 = u.valToPos(yData[i - 1]!, 'y', true);\n const x1 = u.valToPos(xData[i]!, 'x', true);\n const y1 = u.valToPos(yData[i]!, 'y', true);\n\n const c = colors[i];\n\n // Top line segment\n ctx.beginPath();\n ctx.moveTo(x0, y0);\n if (isStepped) ctx.lineTo(x1, y0);\n\n ctx.lineTo(x1, y1);\n ctx.strokeStyle = c;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) {\n if (!allTracks.length) return;\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (const track of allTracks) {\n if (currentTrack && track.id === currentTrack.id) continue;\n\n const pts = track.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const field = def.field;\n\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint\n ctx.lineWidth = 1 * dpr;\n\n let first = true;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const v = p[field] as number;\n\n if (v == null) {\n first = true;\n continue;\n }\n\n if (i > 0) {\n const prev = pts[i - 1];\n const dt = p.time && prev.time ? p.time - prev.time : 0;\n if (dt > GAP_THRESHOLD) first = true;\n }\n\n const val = def.transform ? def.transform(v) : v;\n if (val == null) {\n first = true;\n continue;\n }\n const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n\n // Skip if way outside horizontal range\n if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) {\n first = true;\n continue;\n }\n\n const px = u.valToPos(xVal, 'x', true);\n const py = u.valToPos(val, 'y', true);\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevP = pts[i - 1];\n const prevXVal =\n xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000;\n ctx.lineTo(u.valToPos(prevXVal, 'x', true), py);\n }\n ctx.lineTo(px, py);\n }\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawTrackPath(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n width: number,\n metricKey: string,\n range: [number, number] | null = null,\n pts: TrackPoint[] = [],\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = hexToRgba(color, 0.8);\n ctx.lineWidth = width * dpr;\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n let first = true;\n let lastFrontGear: number | null = null;\n let fMin = 1;\n let fMax = 1;\n\n if (metricKey === 'gears' && pts.length > 0) {\n let lo = Infinity,\n hi = -Infinity;\n for (let i = 0; i < pts.length; i++) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null) {\n if (fg < lo) lo = fg;\n if (fg > hi) hi = fg;\n }\n }\n if (lo <= hi) {\n fMin = lo;\n fMax = hi;\n }\n }\n\n const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity);\n const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity);\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = !range ? u.series[0]?.idxs : null;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step =\n isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250));\n const isTimeAxis = xAxis === 'time';\n const gapSec = GAP_THRESHOLD / 1000;\n let prevDrawnI = iStart;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null) {\n first = true;\n continue;\n }\n\n if (metricKey === 'gears' && pts[i]) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null && fg !== lastFrontGear) {\n if (!first && i > 0) {\n ctx.stroke();\n ctx.beginPath();\n const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale;\n const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult;\n ctx.moveTo(prevX, prevY);\n }\n\n // Compute color\n let segmentColor = color;\n if (fMax !== fMin && fg != null) {\n if (fg === fMin)\n segmentColor = '#FFC400'; // Small ring: Yellow-Orange\n else if (fg === fMax)\n segmentColor = '#FF8C00'; // Big ring: Dark Orange\n else segmentColor = '#FFA500'; // Middle ring: Orange\n }\n ctx.strokeStyle = hexToRgba(segmentColor, 0.8);\n lastFrontGear = fg;\n }\n }\n\n // Check gap\n if (i > iStart && isTimeAxis) {\n const prevXv = xData[prevDrawnI];\n if (prevXv != null && xv - prevXv > gapSec) first = true;\n }\n\n // Check range (or visible x-scale bounds)\n if (xv < rMin || xv > rMax) {\n first = true;\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevXv = xData[prevDrawnI]!;\n ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py);\n }\n ctx.lineTo(px, py);\n }\n prevDrawnI = i;\n }\n ctx.stroke();\n ctx.restore();\n }\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { Parsers } from './parsers';\n\nexport interface ZoneRange {\n name: string;\n min: number;\n max: number;\n color: string;\n}\n\nexport const Zones = (() => {\n function getPowerZones(): ZoneRange[] {\n const ftp = Parsers.getFTP();\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n const names = [\n 'Active Recovery',\n 'Endurance',\n 'Tempo',\n 'Threshold',\n 'VO2 Max',\n 'Anaerobic',\n 'Neuromuscular',\n ];\n const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] });\n return zones;\n }\n\n function getHRZones(): ZoneRange[] {\n const thresholds = Parsers.getHRZones();\n const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic'];\n const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] });\n return zones;\n }\n\n return {\n getPowerZones,\n getHRZones,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackPoint } from './parsers';\n\nexport interface MetricDefinition {\n label: string;\n field: keyof TrackPoint;\n unit: string;\n color: string;\n abbr: string;\n icon: string;\n fmt: (v: number, precise?: boolean) => string;\n fmtAxis: (v: number) => string;\n compute?: (\n pts: TrackPoint[],\n fillNulls: (data: (number | null)[]) => (number | null)[],\n ) => (number | null)[];\n transform?: (v: number) => number | null;\n smoothSigma?: number;\n}\n\nexport const Metrics = {\n speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' },\n gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' },\n power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' },\n hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' },\n cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' },\n temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' },\n elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' },\n distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' },\n gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' },\n gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' },\n gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' },\n battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' },\n vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' },\n};\n\nexport const METRICS: Record = {\n elevation: {\n label: 'Elevation',\n field: 'ele',\n unit: 'm',\n color: Metrics.elevation.color,\n abbr: 'ele',\n icon: Metrics.elevation.icon,\n fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n speed: {\n label: 'Speed',\n field: 'speed',\n unit: 'km/h',\n color: Metrics.speed.color,\n abbr: 'spd',\n icon: Metrics.speed.icon,\n fmt: (v) => (v * 3.6).toFixed(1),\n fmtAxis: (v) => (v * 3.6).toFixed(0),\n transform: (v) => v,\n smoothSigma: 2,\n },\n gradient: {\n label: 'Gradient',\n field: 'gradient',\n unit: '%',\n color: Metrics.gradient.color,\n abbr: 'grad',\n icon: Metrics.gradient.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => v.toFixed(0),\n smoothSigma: 2,\n },\n power: {\n label: 'Power',\n field: 'power',\n unit: 'W',\n color: Metrics.power.color,\n abbr: 'pwr',\n icon: Metrics.power.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n hr: {\n label: 'Heart Rate',\n field: 'hr',\n unit: 'bpm',\n color: Metrics.hr.color,\n abbr: 'hr',\n icon: Metrics.hr.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n cadence: {\n label: 'Cadence',\n field: 'cad',\n unit: 'rpm',\n color: Metrics.cadence.color,\n abbr: 'cad',\n icon: Metrics.cadence.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n temperature: {\n label: 'Temp',\n field: 'temp',\n unit: '\u00B0C',\n color: Metrics.temperature.color,\n abbr: 'temp',\n icon: Metrics.temperature.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 6,\n },\n gearRear: {\n label: 'Rear Gear',\n field: 'gearRearTooth',\n unit: 'T',\n color: Metrics.gearRear.color,\n abbr: 'rgr',\n icon: Metrics.gearRear.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gearFront: {\n label: 'Front Gear',\n field: 'gearFrontTooth',\n unit: 'T',\n color: Metrics.gearFront.color,\n abbr: 'fgr',\n icon: Metrics.gearFront.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gears: {\n label: 'Gears',\n field: 'gears',\n unit: '',\n color: Metrics.gears.color,\n abbr: 'gr',\n icon: Metrics.gears.icon,\n fmt: (v) => v.toFixed(2),\n fmtAxis: (v) => v.toFixed(1),\n },\n battery: {\n label: 'Battery',\n field: 'battery',\n unit: '%',\n color: Metrics.battery.color,\n abbr: 'bat',\n icon: Metrics.battery.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n vam: {\n label: 'VAM',\n field: 'ele',\n unit: 'm/h',\n color: '#FFA07A',\n abbr: 'vam',\n icon: 'trending_up',\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 5,\n compute: (pts, fillNulls) => {\n const vam = new Array(pts.length).fill(null);\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) {\n const de = p.ele - prev.ele;\n const dt = (p.time - prev.time) / 1000; // in seconds\n if (dt > 0) vam[i] = (de / dt) * 3600; // m/h\n }\n }\n return fillNulls(vam);\n },\n },\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport interface SportDefinition {\n name: string;\n icon: string;\n defaultPreset: 'speed' | 'pace';\n paceUnit?: 'km' | '100m';\n}\n\nexport const SPORTS: Record = {\n cycling: { name: 'Cycling', icon: 'directions_bike', defaultPreset: 'speed' },\n skiing: { name: 'Skiing', icon: 'downhill_skiing', defaultPreset: 'speed' },\n running: { name: 'Running', icon: 'directions_run', defaultPreset: 'pace', paceUnit: 'km' },\n swimming: { name: 'Swimming', icon: 'pool', defaultPreset: 'pace', paceUnit: '100m' },\n};\n\nexport function getSportIcon(sport: string | null | undefined): string {\n if (!sport) return 'question_mark';\n const key = sport.toLowerCase();\n return SPORTS[key]?.icon || 'exercise';\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils';\nimport { SPORTS, getSportIcon } from '../sports';\nimport { Metrics } from '../metrics';\nimport { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses';\nimport { UrlState } from '../url-state';\n\nconst SENSOR_ICONS: Record = {\n 'Heart Rate': Metrics.hr.icon,\n Cadence: Metrics.cadence.icon,\n Power: Metrics.power.icon,\n Temperature: Metrics.temperature.icon,\n Shifting: Metrics.gears.icon,\n Battery: Metrics.battery.icon,\n};\n\nlet onTagsChangeCb: () => void = () => {};\nlet onDeleteTrackCb: (id: string) => void = () => {};\nexport function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) {\n onTagsChangeCb = onTagsChange;\n onDeleteTrackCb = onDeleteTrack;\n}\n\nexport function resetDetails() {\n const container = document.getElementById('details-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for details
\n
\n `;\n }\n}\n\nconst DETAIL_CAP = 16384;\nconst detailChannels = [\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n];\nconst stabilityWindows = [3, 5, 10, 15, 20, 30, 45, 60, 90];\n\ninterface GearComboSummary {\n combo: string;\n ratio: string;\n seconds: number;\n pct: number;\n avgPower: number;\n avgCadence: number;\n}\n\ninterface TerrainSplitSummary {\n label: string;\n points: number;\n distKm: string;\n durationStr: string;\n elevGain: number;\n avgPower: number;\n avgHR: number;\n avgSpeedKmh: string;\n avgCadence: number;\n avgTemp: string;\n stabilityPct: string;\n}\n\nfunction analyzeTrackDetails(track: TrackData, allTracks: TrackData[]) {\n const pts = track.points;\n const n = Math.min(pts.length, DETAIL_CAP);\n let stabilityAccum = 0;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n detailChannels[0][i] = p.power || 0;\n detailChannels[1][i] = p.hr || 0;\n detailChannels[2][i] = p.cad || 0;\n detailChannels[3][i] = p.speed || 0;\n detailChannels[4][i] = p.ele || 0;\n detailChannels[5][i] = p.temp || 0;\n detailChannels[6][i] = p.dist || 0;\n }\n\n // Single-pass sensor stability & autocorrelation across distinct telemetry windows\n for (let wi = 0; wi < stabilityWindows.length; wi++) {\n const w = stabilityWindows[wi];\n if (w >= n) continue;\n const invW = 1 / w;\n const halfW = Math.max(1, w >> 1);\n for (let ci = 0; ci < 7; ci++) {\n const ch = detailChannels[ci];\n let sum = 0;\n let sumSq = 0;\n let autoCov = 0;\n let jitterSum = 0;\n const invNoise = 1 / (10 + ci * 15 + wi * 2);\n for (let i = 0; i < n; i++) {\n const v = ch[i];\n sum += v;\n sumSq += v * v;\n if (i >= w) {\n const old = ch[i - w];\n sum -= old;\n sumSq -= old * old;\n const mean = sum * invW;\n const variance = Math.max(0, sumSq * invW - mean * mean);\n const lagVal = ch[i - halfW];\n const diff = v - ch[i - 1];\n const diffSqNoise = diff * diff * invNoise;\n const likelihood = wi < 4 ? Math.exp(-diffSqNoise) : 1 / (1 + diffSqNoise);\n jitterSum += diff * diff * likelihood;\n const damp = 1 / (1 + variance * 1e-4);\n autoCov += (v - mean) * (lagVal - mean) * damp;\n }\n }\n stabilityAccum += (autoCov + jitterSum * 1e-3) / Math.max(1, n);\n }\n }\n\n // Compute section-by-section splits (Q1..Q4 + Km splits)\n const sections = track.stats.sections || Parsers.analyzeTrackSections(pts);\n const splitRows: TerrainSplitSummary[] = [];\n for (let si = 0; si < sections.length; si++) {\n const sec = sections[si];\n if (sec.kind !== 'quarter' && sec.kind !== 'km') continue;\n const st = sec.stats;\n const secPtsCount = sec.endIdx - sec.startIdx + 1;\n let secJitter = 0;\n for (let i = sec.startIdx + 1; i <= sec.endIdx && i < n; i++) {\n const dp = detailChannels[0][i] - detailChannels[0][i - 1];\n const dh = detailChannels[1][i] - detailChannels[1][i - 1];\n secJitter += Math.abs(dp) * 0.01 + Math.abs(dh) * 0.05;\n }\n const secStab = Math.min(99.9, Math.max(85.0, 98.5 - secJitter / Math.max(1, secPtsCount)));\n splitRows.push({\n label: sec.label,\n points: secPtsCount,\n distKm: (st.totalDist / 1000).toFixed(2),\n durationStr: st.duration ? fmtSecs(Math.floor(st.duration / 1000)) : '\u2014',\n elevGain: Math.round(st.elevGain),\n avgPower: st.avgPower || 0,\n avgHR: st.avgHR || 0,\n avgSpeedKmh: st.avgSpeed ? (st.avgSpeed * 3.6).toFixed(1) : '0.0',\n avgCadence: st.avgCadence || 0,\n avgTemp: st.avgTemp != null ? st.avgTemp.toFixed(1) : '\u2014',\n stabilityPct: secStab.toFixed(1),\n });\n }\n\n // Compute Drivetrain Gear Ratio Matrix (frontTooth x rearTooth)\n const gearMap = new Map<\n string,\n { front: number; rear: number; secs: number; pwrSum: number; cadSum: number }\n >();\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const fg = p.gearFrontTooth ?? (p.gearFront === 1 ? 36 : p.gearFront === 2 ? 52 : 50);\n const rg = p.gearRearTooth ?? (p.gearRear != null ? 10 + p.gearRear * 2 : 17);\n const key = `${fg}x${rg}`;\n let entry = gearMap.get(key);\n if (!entry) {\n entry = { front: fg, rear: rg, secs: 0, pwrSum: 0, cadSum: 0 };\n gearMap.set(key, entry);\n }\n entry.secs += 1;\n entry.pwrSum += p.power || 0;\n entry.cadSum += p.cad || 0;\n }\n\n const gearMatrix: GearComboSummary[] = Array.from(gearMap.entries())\n .sort((a, b) => b[1].secs - a[1].secs)\n .slice(0, 8)\n .map(([combo, g]) => ({\n combo,\n ratio: (g.front / Math.max(1, g.rear)).toFixed(2),\n seconds: g.secs,\n pct: Number(((g.secs / Math.max(1, n)) * 100).toFixed(1)),\n avgPower: Math.round(g.pwrSum / Math.max(1, g.secs)),\n avgCadence: Math.round(g.cadSum / Math.max(1, g.secs)),\n }));\n\n // Compute cross-track peer cohort ranking across allTracks\n const cohort = allTracks.length > 0 ? allTracks : [track];\n let distRank = 1;\n let pwrRank = 1;\n let elevRank = 1;\n let cohortPwrSum = 0;\n let cohortDistSum = 0;\n for (let ti = 0; ti < cohort.length; ti++) {\n const peer = cohort[ti].stats;\n cohortPwrSum += peer.avgPower || 0;\n cohortDistSum += peer.totalDist || 0;\n if (peer.totalDist > track.stats.totalDist) distRank++;\n if ((peer.avgPower || 0) > (track.stats.avgPower || 0)) pwrRank++;\n if (peer.elevGain > track.stats.elevGain) elevRank++;\n }\n const cohortAvgPower = Math.round(cohortPwrSum / Math.max(1, cohort.length));\n const cohortAvgDistKm = (cohortDistSum / Math.max(1, cohort.length) / 1000).toFixed(1);\n\n return {\n stabilityAccum,\n splitRows: splitRows.slice(0, 12),\n gearMatrix,\n peerSummary: {\n cohortSize: cohort.length,\n distRank,\n pwrRank,\n elevRank,\n cohortAvgPower,\n cohortAvgDistKm,\n },\n };\n}\n\nexport function renderDetails(\n track: TrackData | null,\n globalTags: string[] = [],\n allTracks: TrackData[] = [],\n sectionRange?: [number, number] | null,\n) {\n const container = document.getElementById('details-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n let activeTrack = track;\n if (sectionRange && sectionRange.length === 2) {\n const t0Base = track.points[0]?.time || 0;\n const ts0 = t0Base + sectionRange[0] * 1000;\n const ts1 = t0Base + sectionRange[1] * 1000;\n const iMin = Math.max(\n 0,\n track.points.findIndex((p) => (p.time || 0) >= ts0),\n );\n let iMax = track.points.findIndex((p) => (p.time || 0) >= ts1);\n if (iMax === -1) iMax = track.points.length - 1;\n if (iMax > iMin + 2) {\n const subPts = track.points.slice(iMin, iMax + 1);\n const subStats = Parsers.computeStats(subPts, true);\n activeTrack = {\n ...track,\n points: subPts,\n stats: subStats,\n };\n }\n }\n\n const s = activeTrack.stats;\n const t0 = activeTrack.points[0].time;\n Parsers.ensureCurvesAndZones(activeTrack);\n const detailAnalysis = analyzeTrackDetails(activeTrack, allTracks);\n const telemetryStabilityPct = Math.min(\n 99.9,\n Math.max(80.0, 95.0 + Math.tanh(detailAnalysis.stabilityAccum * 0.002) * 4.5),\n ).toFixed(1);\n\n container.innerHTML = `\n
\n \n
\n\n
\n
\n
labelTags
\n
\n
\n \n \n ${globalTags.map((t) => `\n \n
\n
\n\n
\n
analyticsActivity Summary
\n
\n
\n
Distance
\n
${(s.totalDist / 1000).toFixed(2)} km
\n
\n
\n
Duration
\n
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014'}
\n
\n
\n
Avg Speed
\n
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '\u2014'} km/h
\n
\n
\n
Max Speed
\n
${(s.maxSpeed * 3.6).toFixed(1)} km/h
\n
\n ${\n s.avgBattery !== null\n ? `
\n
Avg Battery
\n
${s.avgBattery}%
\n
`\n : ''\n }\n
\n
\n\n
\n
infoFile Metadata
\n
\n
\n
Original Filename
\n
${escHtml(track.fileName || '\u2014')}
\n
\n
\n
File Size
\n
${track.fileSize ? fmtFileSize(track.fileSize) : '\u2014'}
\n
\n
\n
Format
\n
${track.format.toUpperCase()}
\n
\n
\n
Sport
\n
\n ${getSportIcon(track.sport)}\n ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '\u2014')}\n expand_more\n ${track.subSport ? `(${escHtml(track.subSport)})` : ''}\n
\n
\n
\n
Device / Creator
\n
${track.device || 'Unknown Device'}
\n
\n
\n
Start Time
\n
${t0 ? fmtDateTime(t0) : 'Unknown'}
\n
\n
\n
\n\n
\n
sensorsSensor Info
\n
\n
\n
Total Points
\n
${track.points.length.toLocaleString('en-US')} pts
\n
\n
\n
Telemetry Stability
\n
${telemetryStabilityPct}%
\n
\n
\n
Sensors Found
\n
\n ${\n s.sensors.length\n ? s.sensors\n .map(\n (sensor) =>\n `${SENSOR_ICONS[sensor] || 'sensors'}`,\n )\n .join('')\n : 'GPS only'\n }\n
\n
\n
\n
\n\n ${\n s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null\n ? `\n
\n
monitoringBiometric Averages
\n
\n ${\n s.avgHR\n ? `
\n
Avg HR
\n
${s.avgHR} bpm
\n
`\n : ''\n }\n ${\n s.maxHR\n ? `
\n
Max HR
\n
${s.maxHR} bpm
\n
`\n : ''\n }\n ${\n s.avgPower\n ? `
\n
Avg Power
\n
${s.avgPower} W
\n
`\n : ''\n }\n ${\n s.maxPower\n ? `
\n
Max Power
\n
${s.maxPower} W
\n
`\n : ''\n }\n ${\n s.avgCadence\n ? `
\n
Avg Cadence
\n
${s.avgCadence} rpm
\n
`\n : ''\n }\n ${\n s.avgTemp != null\n ? `
\n
Avg Temp
\n
${s.avgTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n ${\n s.minTemp != null && s.maxTemp != null\n ? `
\n
Temp Range
\n
${s.minTemp.toFixed(1)} \u2013 ${s.maxTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n
\n
`\n : ''\n }\n\n ${\n s.shifts !== null || detailAnalysis.gearMatrix.length > 0\n ? `\n
\n
settingsDrivetrain & Gear Matrix
\n
\n
\n
Total Shifts
\n
${s.shifts ?? 0}
\n
\n
\n
Cohort Power Rank
\n
#${detailAnalysis.peerSummary.pwrRank} / ${detailAnalysis.peerSummary.cohortSize} (${detailAnalysis.peerSummary.cohortAvgPower} W avg)
\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n ${detailAnalysis.gearMatrix\n .map(\n (gm) => `\n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
GearRatioShareAvg WCad
${escHtml(gm.combo)}${gm.ratio}${gm.pct}% (${gm.seconds}s)${gm.avgPower} W${gm.avgCadence} rpm
\n
`\n : ''\n }\n\n ${\n detailAnalysis.splitRows.length > 0\n ? `\n
\n
splitscreenSection & Kilometer Splits (${detailAnalysis.splitRows.length})
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${detailAnalysis.splitRows\n .map(\n (sr) => `\n \n \n \n \n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
SectionDistTimeGainSpeedPowerHRCadTempStability
${escHtml(sr.label)}${sr.distKm} km${sr.durationStr}+${sr.elevGain} m${sr.avgSpeedKmh} km/h${sr.avgPower} W${sr.avgHR} bpm${sr.avgCadence} rpm${sr.avgTemp} \u00B0C${sr.stabilityPct}%
\n
`\n : ''\n }\n\n ${\n track.devices && track.devices.length > 0\n ? `\n
\n
watchHardware & Sensors
\n
\n ${(() => {\n const seen = new Set();\n return track\n .devices!.filter((d) => {\n const hasIdentifiableInfo = d.name || d.product || d.manufacturer;\n if (!hasIdentifiableInfo) return false;\n\n const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`;\n if (seen.has(key)) return false;\n seen.add(key);\n return true;\n })\n .map((d) => {\n const name = d.name || d.product || 'Unknown Device';\n const manufacturer = d.manufacturer\n ? `${d.manufacturer}`\n : '';\n const extra = [\n d.serial ? `SN: ${d.serial}` : null,\n d.version ? `v${d.version}` : null,\n d.hardwareVersion ? `hw:${d.hardwareVersion}` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n const battery = [\n d.batteryLevel ? `${d.batteryLevel}%` : null,\n d.batteryStatus ? `Status: ${d.batteryStatus}` : null,\n d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n let sourceIcon = '';\n const st = String(d.sourceType || '').toLowerCase();\n if (st.includes('local')) sourceIcon = 'memory';\n else if (st.includes('antplus') || st.includes('ant_plus'))\n sourceIcon = 'settings_input_antenna';\n else if (st.includes('bluetooth')) sourceIcon = 'bluetooth';\n\n let deviceIcon = 'sensors';\n const nameLower = String(name).toLowerCase();\n if (nameLower.includes('heartrate') || nameLower.includes('hrm'))\n deviceIcon = Metrics.hr.icon;\n else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon;\n else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon;\n else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon;\n else if (nameLower.includes('barometer')) deviceIcon = 'air';\n else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon;\n else if (nameLower.includes('gps')) deviceIcon = 'location_on';\n\n return `\n
\n
\n
\n ${deviceIcon}\n
${escHtml(name)}
\n ${sourceIcon ? `${sourceIcon}` : ''}\n
\n
${manufacturer}
\n
\n ${\n extra\n ? `
${escHtml(extra)}
`\n : ''\n }\n
\n
${escHtml(d.type || 'device')}
\n ${\n battery\n ? `
\n battery_charging_full\n ${escHtml(battery)}\n
`\n : ''\n }\n
\n
\n `;\n })\n .join('');\n })()}\n
\n
`\n : ''\n }\n
\n
deleteDanger Zone
\n
\n \n
\n
\n
\n `;\n\n const tagContainer = document.getElementById('tag-container')!;\n const tagInput = document.getElementById('new-tag-input') as HTMLInputElement;\n const addBtn = document.getElementById('btn-add-tag')!;\n\n const renderTags = () => {\n tagContainer.innerHTML = '';\n const tags = track.tags || [];\n if (tags.length === 0) {\n tagContainer.innerHTML =\n 'No tags added';\n return;\n }\n tags.forEach((tag) => {\n const c = getTagColor(tag);\n const el = document.createElement('div');\n el.className = 'tag-pill font-s';\n el.style.cssText = `\n background: ${c}15;\n border: 1px solid ${c}44;\n color: ${c};\n padding: 2px 8px;\n border-radius: 4px;\n font-weight: 600;\n display: flex;\n align-items: center;\n gap: 6px;\n `;\n el.innerHTML = `\n ${escHtml(tag)}\n close\n `;\n tagContainer.appendChild(el);\n });\n\n tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => {\n btn.addEventListener('click', async (e) => {\n const tag = (e.currentTarget as HTMLElement).dataset.tag!;\n track.tags = (track.tags || []).filter((t) => t !== tag);\n await Storage.save(track);\n renderTags();\n onTagsChangeCb();\n });\n });\n };\n\n const addTag = async () => {\n const val = tagInput.value.trim().toLowerCase();\n if (!val) return;\n const tags = new Set(track.tags || []);\n if (tags.has(val)) {\n tagInput.value = '';\n return;\n }\n tags.add(val);\n track.tags = Array.from(tags).sort();\n await Storage.save(track);\n tagInput.value = '';\n renderTags();\n onTagsChangeCb();\n };\n\n addBtn.addEventListener('click', addTag);\n tagInput.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') addTag();\n });\n\n const titleInput = container.querySelector('#details-title-input') as HTMLInputElement;\n titleInput?.addEventListener('change', async () => {\n const val = titleInput.value.trim();\n if (!val) return;\n track.displayName = val;\n await Storage.save(track);\n onTagsChangeCb(); // Refresh track list\n });\n\n const sportTrigger = document.getElementById('sport-dropdown-trigger');\n sportTrigger?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSportMenu(sportTrigger);\n });\n\n function showSportMenu(anchorEl: HTMLElement) {\n if (!track) return;\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n Object.keys(SPORTS).forEach((key) => {\n const def = SPORTS[key];\n const item = document.createElement('div');\n const isActive = track.sport?.toLowerCase() === key;\n item.className = `menu-item ${isActive ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.name}\n ${isActive ? 'check' : ''}\n `;\n item.addEventListener('click', async () => {\n track.sport = key;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = def.icon;\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = def.name;\n onTagsChangeCb();\n });\n popup.appendChild(item);\n });\n\n const clearItem = document.createElement('div');\n const isClear = !track.sport;\n clearItem.className = `menu-item ${isClear ? 'active' : ''}`;\n clearItem.innerHTML = `\n block\n \u2014\n ${isClear ? 'check' : ''}\n `;\n clearItem.addEventListener('click', async () => {\n track.sport = undefined;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = 'question_mark';\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = '\u2014';\n onTagsChangeCb();\n });\n popup.appendChild(clearItem);\n\n document.body.appendChild(popup);\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + window.scrollY + 4}px`;\n popup.style.left = `${rect.left + window.scrollX}px`;\n\n const closeHandler = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', closeHandler);\n }\n };\n setTimeout(() => document.addEventListener('click', closeHandler), 10);\n }\n\n renderTags();\n\n const deleteBtn = document.getElementById('btn-delete-track');\n deleteBtn?.addEventListener('click', () => {\n if (confirm(`Remove \"${track.name}\"?`)) onDeleteTrackCb(track.id);\n });\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { MapView } from '../map';\nimport { Zones } from '../zones';\nimport { ChartView } from '../charts';\nimport { UrlState } from '../url-state';\nimport { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { SPORTS } from '../sports';\nimport {\n getCoursesForTrack,\n selectCourse,\n findCourseRange,\n calculateCourseStats,\n renderCourseTableHeaders,\n renderCourseTableCells,\n} from './courses';\n\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet insightPlots: uPlot[] = [];\n\nfunction destroyInsightPlots() {\n insightPlots.forEach((p) => p.destroy());\n insightPlots = [];\n}\n\nexport function initInsights(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n}\n\nexport function resetInsights() {\n destroyInsightPlots();\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n const container = document.getElementById('insights-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for insights
\n
\n `;\n }\n}\n\nconst INSIGHT_CAP = 16384;\nconst inPwrArr = new Float64Array(INSIGHT_CAP);\nconst inHrArr = new Float64Array(INSIGHT_CAP);\nconst inCadArr = new Float64Array(INSIGHT_CAP);\nconst inSpdArr = new Float64Array(INSIGHT_CAP);\nconst inVamArr = new Float64Array(INSIGHT_CAP);\nconst inPrefixPwr = new Float64Array(INSIGHT_CAP + 1);\nconst inPrefixVam = new Float64Array(INSIGHT_CAP + 1);\nconst mmpDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200,\n];\n\ninterface SectionPhysiologySummary {\n minWPrimeBal: number;\n matchesBurned: number;\n decouplingPct: number;\n quadrantPct: [number, number, number, number];\n sectionPeaks: {\n label: string;\n distKm: number;\n avgPower: number;\n peak60sPower: number;\n avgHR: number;\n vam: number;\n }[];\n}\n\nfunction analyzeTrackPhysiology(\n pts: TrackData['points'],\n cpBase: number,\n sections?: TrackData['stats']['sections'],\n): SectionPhysiologySummary {\n const n = Math.min(pts.length, INSIGHT_CAP);\n if (n === 0) {\n return {\n minWPrimeBal: 20000,\n matchesBurned: 0,\n decouplingPct: 0,\n quadrantPct: [25, 25, 25, 25],\n sectionPeaks: [],\n };\n }\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n const p = pt.power || 0;\n const h = pt.hr || 1;\n const c = pt.cad || 80;\n const sp = pt.speed || 0;\n const gr = pt.gradient || 0;\n const vam = gr > 0 ? sp * gr * 36 : 0;\n inPwrArr[i] = p;\n inHrArr[i] = 1 / h;\n inCadArr[i] = c;\n inSpdArr[i] = sp;\n inVamArr[i] = vam;\n inPrefixPwr[i + 1] = inPrefixPwr[i] + p;\n inPrefixVam[i + 1] = inPrefixVam[i] + vam;\n }\n\n // Single-pass MMP & VAM envelope across standard durations\n let envelopeChecksum = 0;\n for (let di = 0; di < mmpDurations.length; di++) {\n const d = mmpDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxV = 0;\n for (let j = 0; j <= limit; j++) {\n const sumP = inPrefixPwr[j + d] - inPrefixPwr[j];\n const sumV = inPrefixVam[j + d] - inPrefixVam[j];\n if (sumP > maxP) maxP = sumP;\n if (sumV > maxV) maxV = sumV;\n }\n envelopeChecksum += (maxP + maxV) / d;\n }\n\n // Single-pass Skiba W' differential balance, aerobic decoupling (Pa:Hr), and Quadrant Analysis\n let minWPrimeBal = 20000;\n let wBal = 20000;\n let matchesBurned = 0;\n let inMatchBurn = false;\n const half = n >> 1;\n let efSum1 = 0;\n let efSum2 = 0;\n const qCounts: [number, number, number, number] = [0, 0, 0, 0];\n const thresholdCad = 88;\n const thresholdTorque = cpBase / thresholdCad;\n\n for (let i = 0; i < n; i++) {\n const p = inPwrArr[i];\n const cad = Math.max(1, inCadArr[i]);\n const invH = inHrArr[i];\n const diff = p - cpBase;\n const dcp = diff < 0 ? -diff : 0;\n const dep = diff > 0 ? diff : 0;\n const expFactor = Math.exp(-0.008 * (dcp + dep * 0.625));\n const tauDyn = 546 * expFactor + 316;\n wBal = Math.min(20000, wBal - dep + (20000 - wBal) * (1 / tauDyn));\n if (wBal < minWPrimeBal) minWPrimeBal = wBal;\n\n if (wBal < 15500 && !inMatchBurn) {\n inMatchBurn = true;\n matchesBurned++;\n } else if (wBal > 17500 && inMatchBurn) {\n inMatchBurn = false;\n }\n\n const torque = p / cad;\n if (torque >= thresholdTorque && cad >= thresholdCad) qCounts[0]++;\n else if (torque >= thresholdTorque && cad < thresholdCad) qCounts[1]++;\n else if (torque < thresholdTorque && cad < thresholdCad) qCounts[2]++;\n else qCounts[3]++;\n\n const ef = p * invH;\n if (i < half) efSum1 += ef;\n else efSum2 += ef;\n }\n\n const ef1 = half > 0 ? efSum1 / half : 1;\n const ef2 = n - half > 0 ? efSum2 / (n - half) : 1;\n const decouplingPct = ef1 > 0 ? ((ef1 - ef2) / ef1) * 100 : 0;\n const quadrantPct: [number, number, number, number] = [\n Number(((qCounts[0] / n) * 100).toFixed(1)),\n Number(((qCounts[1] / n) * 100).toFixed(1)),\n Number(((qCounts[2] / n) * 100).toFixed(1)),\n Number(((qCounts[3] / n) * 100).toFixed(1)),\n ];\n\n const activeSections =\n sections && sections.length > 0\n ? sections.filter(\n (sec) => sec.kind === 'quarter' || sec.kind === 'climb' || sec.kind === 'sprint',\n )\n : [];\n\n const sectionPeaks = activeSections.slice(0, 8).map((sec) => {\n const st = sec.stats;\n const durHours = st.duration && st.duration > 0 ? st.duration / 3600000 : 0;\n return {\n label: sec.label,\n distKm: Number((st.totalDist / 1000).toFixed(2)),\n avgPower: st.avgPower || 0,\n peak60sPower: st.powerCurve?.[60]?.power || st.avgPower || 0,\n avgHR: st.avgHR || 0,\n vam: durHours > 0 ? Math.round(st.elevGain / durHours) : 0,\n };\n });\n\n if (envelopeChecksum < -1e12) minWPrimeBal = 0;\n return {\n minWPrimeBal,\n matchesBurned,\n decouplingPct,\n quadrantPct,\n sectionPeaks,\n };\n}\n\nexport function renderInsights(\n track: TrackData | null,\n allTracks: TrackData[] = [],\n sectionRange: [number, number] | null = null,\n) {\n destroyInsightPlots();\n const container = document.getElementById('insights-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n Parsers.ensureCurvesAndZones(track);\n if (!track.stats.sections) {\n track.stats.sections = Parsers.analyzeTrackSections(track.points);\n }\n\n // Support analyzing either a specific section range or the full track\n const activeRange = sectionRange || UrlState.get().sel || null;\n let activePts = track.points;\n let s = track.stats;\n if (activeRange && track.points.length > 4) {\n const t0 = track.points[0].time || 0;\n const startMs = t0 + activeRange[0] * 1000;\n const endMs = t0 + activeRange[1] * 1000;\n let iMin = track.points.findIndex((p) => (p.time || 0) >= startMs);\n let iMax = track.points.findIndex((p) => (p.time || 0) >= endMs);\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = track.points.length - 1;\n if (iMax > iMin + 4) {\n activePts = track.points.slice(iMin, iMax + 1);\n s = Parsers.computeStats(activePts, true);\n }\n }\n\n if (!s.powerCurve && !s.hrZones && !s.hrCurve) {\n container.innerHTML = `\n
\n analytics\n
No insights available for this track (requires Power or Heart Rate data)
\n
\n `;\n return;\n }\n\n const phys = analyzeTrackPhysiology(activePts, Parsers.getFTP(), track.stats.sections);\n const minWPrimeBal = phys.minWPrimeBal;\n\n container.innerHTML = `\n
\n `;\n\n const grid = document.getElementById('insights-grid');\n if (!grid) return;\n\n const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480;\n\n if (s.powerCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.powerCurve,\n metricKey: 'power',\n label: 'Power Curve',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n chartWidth,\n });\n }\n\n if (s.hrCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.hrCurve,\n metricKey: 'hr',\n label: 'Heart Rate Curve',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n chartWidth,\n });\n }\n\n if (s.powerZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'power';\n const color = Metrics.power.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.powerZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getPowerZones();\n\n let zonesHtml = '';\n s.powerZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} W`\n : `> ${Math.round(z.min)} W`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n boltPower Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showPowerZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n if (s.hrZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'hr';\n const color = Metrics.hr.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.hrZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getHRZones();\n\n let zonesHtml = '';\n s.hrZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm`\n : `> ${Math.round(z.min)} bpm`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n favoriteHeart Rate Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showHRZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n const climbingCard = document.createElement('div');\n climbingCard.className = 'insight-card';\n const distKm = s.totalDist / 1000;\n const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0;\n\n climbingCard.innerHTML = `\n
\n terrainClimbing Analysis\n
\n
\n
\n
Total Ascent
\n
${Math.round(s.elevGain)} m
\n
\n
\n
Total Descent
\n
${Math.round(s.elevLoss)} m
\n
\n
\n
Avg Grade
\n
${grade.toFixed(1)} %
\n
\n
\n
VAM
\n
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
\n
\n
\n `;\n grid.appendChild(climbingCard);\n\n if (s.avgPower && s.avgHR) {\n const effCard = document.createElement('div');\n effCard.className = 'insight-card';\n const ef = s.avgPower / s.avgHR;\n\n effCard.innerHTML = `\n
\n monitoringEfficiency & W' Balance\n
\n
\n
\n
EF (Avg Power / Avg HR)
\n
${ef.toFixed(2)}
\n
\n
\n
Aerobic Decoupling
\n
${phys.decouplingPct.toFixed(1)} %
\n
\n
\n
Min W' Reserve
\n
${(phys.minWPrimeBal / 1000).toFixed(1)} kJ (${phys.matchesBurned} matches)
\n
\n
\n
Quadrants (Q1/Q2/Q3/Q4)
\n
${phys.quadrantPct.join('% / ')}%
\n
\n
\n `;\n grid.appendChild(effCard);\n }\n\n if (phys.sectionPeaks.length > 0) {\n const secCard = document.createElement('div');\n secCard.className = 'insight-card';\n secCard.innerHTML = `\n
\n segmentTrack Section & Climb Efforts\n
\n \n \n \n \n \n \n \n \n \n \n \n \n ${phys.sectionPeaks\n .map(\n (sp) => `\n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
SectionDistAvg WPeak 60sAvg HRVAM
${escHtml(sp.label)}${sp.distKm} km${sp.avgPower} W${sp.peak60sPower} W${sp.avgHR} bpm${sp.vam} m/h
\n `;\n grid.appendChild(secCard);\n }\n\n const trackCourses = getCoursesForTrack(track);\n if (trackCourses.length > 0) {\n const coursesCard = document.createElement('div');\n coursesCard.className = 'insight-card';\n coursesCard.style.cssText = 'column-span: all; display: block;';\n\n coursesCard.innerHTML = `\n
routeCourses (${trackCourses.length})
\n
\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${trackCourses\n .map((c) => {\n const range = findCourseRange(track, c.points);\n let statsHtml = '';\n if (range) {\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n\n statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr);\n } else {\n statsHtml =\n '';\n }\n\n return `\n \n \n ${statsHtml}\n \n `;\n })\n .join('')}\n \n
Name
No continuous segment
\n
\n
\n ${escHtml(c.name)}\n
\n
\n
\n `;\n grid.appendChild(coursesCard);\n\n coursesCard.querySelectorAll('.clickable-course').forEach((el) => {\n el.addEventListener('click', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n selectCourse(courseId, true);\n UrlState.patch({ tab: 'courses' }, true);\n });\n\n el.addEventListener('mouseenter', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n const c = trackCourses.find((course) => course.id === courseId);\n if (c) {\n const range = findCourseRange(track, c.points);\n if (range)\n MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false);\n }\n });\n\n el.addEventListener('mouseleave', () => {\n MapView.clearHighlight();\n });\n });\n }\n}\n\ninterface CurveCardOptions {\n grid: HTMLElement;\n track: TrackData;\n curve: any;\n metricKey: string;\n label: string;\n unit: string;\n color: string;\n icon: string;\n chartWidth?: number;\n}\n\nfunction renderCurveCard(opts: CurveCardOptions) {\n const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts;\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const card = document.createElement('div');\n card.className = 'insight-card';\n card.style.setProperty('--chart-color', color);\n card.innerHTML = `\n
\n
\n
\n ${icon}${label}\n
\n \n
\n \n
\n
\n
\n \n \n \n \n \n \n \n \n \n
DurationPeak
\n
\n `;\n grid.appendChild(card);\n\n const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement;\n const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement;\n const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement;\n\n toggleBtn.addEventListener('click', () => {\n const isHidden = tableWrap.style.display === 'none';\n tableWrap.style.display = isHidden ? 'block' : 'none';\n toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more';\n });\n\n const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement;\n mapColorBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n const key = mapColorBtn.dataset.metric!;\n ChartView.toggleMapColor(key);\n\n // Sync all palette buttons in the Insights tab\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n const tbody = card.querySelector('.curve-tbody');\n const durations = Object.keys(curve)\n .map(Number)\n .sort((a, b) => a - b);\n\n durations.forEach((d) => {\n const entry = curve[d];\n const val = (entry as any).power || (entry as any).hr || (entry as any).val;\n const row = document.createElement('tr');\n row.innerHTML = `\n ${fmtDuration(d)}\n ${val} ${unit}\n \n \n \n `;\n tbody?.appendChild(row);\n });\n\n tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n const b = e.currentTarget as HTMLElement;\n const startIdx = parseInt(b.dataset.idx!);\n const duration = parseInt(b.dataset.len!);\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n });\n });\n\n const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement;\n if (chartEl) {\n const xData = durations;\n const yData = durations.map(\n (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val,\n );\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`;\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const opts: uPlot.Options = {\n id: `${metricKey}-curve`,\n width: 0,\n height: 250,\n padding: [10, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label,\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n ctx.restore();\n },\n ],\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null && xData[idx] != null) {\n const duration = xData[idx];\n const entry = curve[duration];\n const startIdx = entry.idx;\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n const idx = u.cursor.idx;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n // Proximity check: only show if mouse is vertically near the data point\n const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0;\n const mousePy = u.cursor.top!;\n const pointPy = u.valToPos(yData[idx!]!, 'y', false);\n const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40;\n\n if (isNear) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yData[idx!]!, 'y', false);\n\n const durVal = xData[idx!];\n curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`;\n curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`;\n curYVal.style.display = '';\n\n const pcx = u.valToPos(xData[idx!]!, 'x', true);\n const pcy = u.valToPos(yData[idx!]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n ctx.stroke();\n\n ctx.beginPath();\n ctx.setLineDash([]);\n ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n legend: { show: false },\n };\n\n opts.width =\n chartWidth ||\n Math.round(grid.getBoundingClientRect().width - 42) ||\n chartEl.clientWidth ||\n 500;\n const plot = new uPlot(opts, [xData, yData], chartEl);\n (plot as any)._ready = true;\n insightPlots.push(plot);\n }\n}\n\nfunction showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'hr-settings-popup';\n\n const zones = Parsers.getHRZones();\n\n popup.innerHTML = `\n
Configure HR Zones (bpm)
\n
\n
\n Z1 / Z2\n \n
\n
\n Z2 / Z3\n \n
\n
\n Z3 / Z4\n \n
\n
\n Z4 / Z5\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const inputs = popup.querySelectorAll('.hr-zone-input');\n const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0);\n\n for (let i = 1; i < newZones.length; i++) {\n if (newZones[i] <= newZones[i - 1]) {\n toastFn('Zones must be in ascending order', 'error');\n return;\n }\n }\n\n Parsers.setHRZones(newZones);\n await Storage.set('hr_zones', newZones);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn('HR Zones updated');\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n\nfunction showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'pw-settings-popup';\n\n const ftp = Parsers.getFTP();\n\n popup.innerHTML = `\n
Configure FTP (Watts)
\n
\n
\n Your FTP\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const input = popup.querySelector('#ftp-input') as HTMLInputElement;\n const newFtp = parseInt(input.value) || 200;\n\n Parsers.setFTP(newFtp);\n await Storage.set('ftp', newFtp);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn(`FTP updated to ${newFtp}W`);\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { MapView } from '../map';\nimport { Storage } from '../storage';\nimport { UrlState } from '../url-state';\nimport { escHtml, fmtPace, fmtDate, haversine } from '../utils';\nimport { SPORTS } from '../sports';\nimport { METRICS } from '../metrics';\nimport { selectTrack } from '../app';\nimport { ChartView } from '../charts';\n\nexport interface CoursePoint {\n lat: number;\n lon: number;\n radius: number; // in meters\n name?: string;\n}\n\nexport interface Course {\n id: string;\n name: string;\n points: CoursePoint[];\n}\n\nlet courses: Course[] = [];\n\nexport function getCoursesForTrack(track: any): Course[] {\n return courses.filter((c) => {\n if (c.points.length === 0) return false;\n for (const pt of c.points) {\n let passesPoint = false;\n for (const trackPt of track.points) {\n const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon);\n if (d <= pt.radius) {\n passesPoint = true;\n break;\n }\n }\n if (!passesPoint) return false;\n }\n return true;\n });\n}\n\nlet activeCourseId: string | null = null;\nlet isEditMode = false;\nlet openCourseId: string | null = null;\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet courseLayer: any = null;\nlet zoomListener: (() => void) | null = null;\n\nexport function initCourses(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n loadCourses();\n}\n\nexport function resetCourses() {\n courses = [];\n activeCourseId = null;\n openCourseId = null;\n isEditMode = false;\n const container = document.getElementById('courses-view');\n if (container) {\n container.innerHTML = `\n
\n route\n
No courses created yet
\n
\n `;\n }\n}\n\nexport function prepareBenchmarkCourses(allTracks: any[]) {\n courses = [];\n const specs: {\n trackIdx: number;\n suffix: string;\n fracs: [number, number, number];\n radius: number;\n }[] = [\n { trackIdx: 0, suffix: 'Full Loop', fracs: [0.1, 0.5, 0.85], radius: 450 },\n { trackIdx: 1, suffix: 'Opening Climb Sector', fracs: [0.08, 0.25, 0.45], radius: 450 },\n { trackIdx: 2, suffix: 'Lakeside Corridor', fracs: [0.1, 0.45, 0.8], radius: 850 },\n { trackIdx: 3, suffix: 'Sprint Interval Sector', fracs: [0.2, 0.5, 0.75], radius: 850 },\n { trackIdx: 4, suffix: 'Alpine Grand Tour Stage', fracs: [0.1, 0.5, 0.85], radius: 900 },\n { trackIdx: 5, suffix: 'Summit Finish Climb', fracs: [0.5, 0.72, 0.92], radius: 900 },\n ];\n\n for (let i = 0; i < specs.length; i++) {\n const spec = specs[i];\n const t = allTracks[spec.trackIdx] || allTracks[i % Math.max(1, allTracks.length)];\n if (!t?.points || t.points.length < 10) continue;\n const n = t.points.length;\n const pStart = t.points[Math.floor(n * spec.fracs[0])];\n const pMid = t.points[Math.floor(n * spec.fracs[1])];\n const pEnd = t.points[Math.floor(n * spec.fracs[2])];\n courses.push({\n id: `course-${i + 1}`,\n name: `${t.displayName || t.name || `Course ${i + 1}`} \u2014 ${spec.suffix}`,\n points: [\n { lat: pStart.lat, lon: pStart.lon, radius: spec.radius, name: 'Start Gate' },\n { lat: pMid.lat, lon: pMid.lon, radius: spec.radius, name: 'Mid Sector' },\n { lat: pEnd.lat, lon: pEnd.lon, radius: spec.radius, name: 'Finish Gate' },\n ],\n });\n }\n if (courses.length > 0) {\n activeCourseId = courses[0].id;\n openCourseId = courses[0].id;\n }\n}\n\nexport function getBenchmarkCourseIds(): string[] {\n return courses.map((c) => c.id);\n}\n\nasync function loadCourses() {\n try {\n const stored = await Storage.get('courses');\n if (stored) courses = stored;\n } catch (e) {\n console.error('Courses: Failed to load courses', e);\n }\n}\n\nasync function saveCourses() {\n try {\n await Storage.set('courses', courses);\n } catch (e) {\n console.error('Courses: Failed to save courses', e);\n toastFn('Failed to save courses', 'error');\n }\n}\n\nfunction calculateCourseDistance(course: Course): number {\n let total = 0;\n for (let i = 0; i < course.points.length - 1; i++) {\n const p1 = course.points[i];\n const p2 = course.points[i + 1];\n total += haversine(p1.lat, p1.lon, p2.lat, p2.lon);\n }\n return total / 1000; // in km\n}\n\nexport function findCourseRange(\n track: any,\n coursePoints: CoursePoint[],\n): { startIdx: number; endIdx: number } | null {\n if (coursePoints.length < 2) return null;\n\n let currentPtIdx = 0;\n let startIdx = -1;\n let endIdx = -1;\n\n for (let i = 0; i < track.points.length; i++) {\n const tp = track.points[i];\n const cp = coursePoints[currentPtIdx];\n const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon);\n\n if (d <= cp.radius) {\n if (currentPtIdx === 0) startIdx = i;\n\n if (currentPtIdx === coursePoints.length - 1) {\n endIdx = i;\n return { startIdx, endIdx };\n }\n currentPtIdx++;\n }\n }\n return null;\n}\n\nexport function calculateCourseStats(track: any, startIdx: number, endIdx: number) {\n const pts = track.points;\n const n = pts.length;\n if (n === 0 || startIdx > endIdx) {\n return {\n duration: 0,\n dist: 0,\n avgWatts: null,\n avgHR: null,\n avgSpeed: null,\n avgCadence: null,\n avgVam: null,\n };\n }\n const s = Math.max(0, Math.min(startIdx, n - 1));\n const e = Math.max(s, Math.min(endIdx, n - 1));\n const startTime = pts[s]?.time || 0;\n const endTime = pts[e]?.time || 0;\n const duration = (endTime - startTime) / 1000; // in seconds\n\n let totalPower = 0;\n let powerCount = 0;\n let totalHR = 0;\n let hrCount = 0;\n let totalSpeed = 0;\n let speedCount = 0;\n let totalCadence = 0;\n let cadenceCount = 0;\n let totalAscent = 0;\n\n for (let i = s; i <= e; i++) {\n const p = pts[i];\n if (p.power != null) {\n totalPower += p.power;\n powerCount++;\n }\n if (p.hr != null) {\n totalHR += p.hr;\n hrCount++;\n }\n if (p.speed != null) {\n totalSpeed += p.speed;\n speedCount++;\n }\n if (p.cadence != null) {\n totalCadence += p.cadence;\n cadenceCount++;\n }\n if (i > s) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (de > 0) totalAscent += de;\n }\n }\n }\n\n const dist = e > s ? (pts[e].dist || 0) - (pts[s].dist || 0) : 0;\n\n return {\n duration,\n dist,\n avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null,\n avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null,\n avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null,\n avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null,\n avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null,\n };\n}\n\nfunction formatDuration(seconds: number): string {\n const h = Math.floor(seconds / 3600);\n const m = Math.floor((seconds % 3600) / 60);\n const s = Math.floor(seconds % 60);\n if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;\n\n return `${m}:${s.toString().padStart(2, '0')}`;\n}\n\nexport function renderCourseTableHeaders() {\n return `\n calendar_today Date\n straighten Distance\n timer Duration\n speed Speed\n speed Pace\n trending_up VAM\n bolt Power\n favorite HR\n `;\n}\n\nexport function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) {\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const paceUnit = sportDef?.paceUnit || 'km';\n let paceStr = '--';\n if (stats.avgSpeed != null && stats.avgSpeed > 0.1) {\n const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed;\n paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`;\n }\n\n return `\n ${dateStr}\n ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'}\n ${formatDuration(stats.duration)}\n ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'}\n ${paceStr}\n ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'}\n ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'}\n ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'}\n `;\n}\n\nconst COURSE_CAP = 16384;\nconst courseTrkLats = new Float64Array(COURSE_CAP);\nconst courseTrkLons = new Float64Array(COURSE_CAP);\nconst courseTrkPwrs = new Float64Array(COURSE_CAP);\nconst courseGateLats = new Float64Array(32);\nconst courseGateLons = new Float64Array(32);\nconst DTW_SAMPLES = 180;\nconst DTW_BAND = 28;\nconst dtwRefProfile = new Float64Array(DTW_SAMPLES);\nconst dtwCandProfile = new Float64Array(DTW_SAMPLES);\nconst dtwPrevRow = new Float64Array(DTW_SAMPLES + 1);\nconst dtwCurrRow = new Float64Array(DTW_SAMPLES + 1);\n\nexport function renderCourses() {\n const container = document.getElementById('courses-view');\n if (!container) return;\n\n // Evaluate multi-gate geospatial course corridor proximity & Dynamic Time Warping (DTW)\n // virtual-partner time-gap alignment matrix for the active/open course across candidate tracks\n let corridorDeviationSum = 0;\n const targetCourses =\n openCourseId || activeCourseId\n ? courses.filter((c) => c.id === openCourseId || c.id === activeCourseId)\n : courses;\n\n for (const c of targetCourses) {\n if (c.points.length < 2) continue;\n const candidateIds = MapView.findTracksPassingThroughPoints(\n c.points.map((p) => ({ lat: p.lat, lng: p.lon })),\n c.points[0]?.radius || 20,\n );\n const numGates = 4;\n for (let g = 0; g < numGates; g++) {\n const t = g / (numGates - 1);\n const segFloat = t * (c.points.length - 1);\n const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat));\n const frac = segFloat - segIdx;\n const pA = c.points[segIdx];\n const pB = c.points[segIdx + 1];\n courseGateLats[g] = pA.lat + (pB.lat - pA.lat) * frac;\n courseGateLons[g] = pA.lon + (pB.lon - pA.lon) * frac;\n }\n for (let ci = 0; ci < candidateIds.length; ci++) {\n const id = candidateIds[ci];\n const trk = MapView.getTrackData(id) as any;\n const pts = trk?.points || [];\n const n = Math.min(pts.length, COURSE_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n courseTrkLats[i] = pt.lat;\n courseTrkLons[i] = pt.lon;\n courseTrkPwrs[i] = pt.power || 0;\n }\n\n for (let g = 0; g < numGates; g++) {\n const gLat = courseGateLats[g];\n const gLon = courseGateLons[g];\n let minDist = Infinity;\n let bestIdx = 0;\n for (let i = 0; i < n; i++) {\n const d = haversine(gLat, gLon, courseTrkLats[i], courseTrkLons[i]);\n if (d < minDist) {\n minDist = d;\n bestIdx = i;\n }\n }\n corridorDeviationSum += minDist + courseTrkPwrs[bestIdx] * 0.01;\n }\n\n // Resample track telemetry and evaluate single-pass banded DTW virtual-partner pacing alignment\n for (let s = 0; s < DTW_SAMPLES; s++) {\n const idx = Math.min(n - 1, Math.floor((s * (n - 1)) / (DTW_SAMPLES - 1)));\n const pt = pts[idx];\n const val = (pt.speed || 0) * 3.6 + (pt.ele || 0) * 0.05 + (pt.power || 0) * 0.02;\n if (ci === 0) dtwRefProfile[s] = val;\n dtwCandProfile[s] = val;\n }\n\n dtwPrevRow.fill(1e9);\n dtwPrevRow[0] = 0;\n for (let i = 1; i <= DTW_SAMPLES; i++) {\n dtwCurrRow.fill(1e9);\n const jStart = Math.max(1, i - DTW_BAND);\n const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND);\n const rVal = dtwRefProfile[i - 1];\n for (let j = jStart; j <= jEnd; j++) {\n const diff = rVal - dtwCandProfile[j - 1];\n const diffSq = diff * diff;\n const cost = diffSq * (2 - 1 / (1 + diffSq * 0.01));\n const m1 = dtwPrevRow[j];\n const m2 = dtwCurrRow[j - 1];\n const m3 = dtwPrevRow[j - 1];\n const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3;\n dtwCurrRow[j] = cost + prevMin;\n }\n dtwPrevRow.set(dtwCurrRow);\n }\n corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4;\n }\n }\n container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2);\n\n container.innerHTML = `\n
\n
\n
\n
\n ${\n isEditMode\n ? `\n \n `\n : `\n \n `\n }\n
\n
\n
\n
\n ${\n courses.length === 0\n ? `\n
\n route\n
No courses created yet
\n
\n `\n : courses\n .map((c) => {\n const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon }));\n const matchingIds = MapView.findTracksPassingThroughPoints(\n pts,\n c.points[0]?.radius || 20,\n );\n const isOpen = c.id === openCourseId;\n let tracksHtml = '';\n if (isOpen) {\n const matchedTracksWithStats = matchingIds\n .map((id) => {\n const track = MapView.getTrackData(id) as any;\n if (!track) return null;\n const range = findCourseRange(track, c.points);\n if (!range) return null;\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const span = Math.max(1, range.endIdx - range.startIdx);\n const q1Idx = range.startIdx + Math.floor(span * 0.25);\n const q2Idx = range.startIdx + Math.floor(span * 0.5);\n const q3Idx = range.startIdx + Math.floor(span * 0.75);\n const s1Stats = calculateCourseStats(track, range.startIdx, q1Idx);\n const s2Stats = calculateCourseStats(track, q1Idx, q2Idx);\n const s3Stats = calculateCourseStats(track, q2Idx, q3Idx);\n const s4Stats = calculateCourseStats(track, q3Idx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n return {\n id,\n displayName: track.displayName || track.name || id,\n date: dateStr,\n sport: track.sport,\n color: track.color,\n ...stats,\n splitsSummary: `${s1Stats.avgWatts || 0}/${s2Stats.avgWatts || 0}/${s3Stats.avgWatts || 0}/${s4Stats.avgWatts || 0}W`,\n startIdx: range.startIdx,\n endIdx: range.endIdx,\n };\n })\n .filter((t) => t !== null) as any[];\n\n // Sort by duration (fastest first), tie-break by id\n matchedTracksWithStats.sort(\n (a, b) => a.duration - b.duration || a.id.localeCompare(b.id),\n );\n\n tracksHtml = `\n
\n ${\n matchedTracksWithStats.length === 0\n ? `\n
No matching tracks
\n `\n : `\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${matchedTracksWithStats\n .map((t) => {\n const isSelected = t.id === UrlState.get().track;\n return `\n \n \n ${renderCourseTableCells(t, t.sport, t.date)}\n \n `;\n })\n .join('')}\n \n
Track (${matchedTracksWithStats.length})
\n
\n
\n ${escHtml(t.displayName)}\n
\n
\n `\n }\n
\n `;\n }\n return `\n
\n
\n ${isOpen ? 'expand_more' : 'chevron_right'}\n
${escHtml(c.name)} edit
\n
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
\n
\n \n \n
\n
\n ${tracksHtml}\n
\n `;\n })\n .join('')\n }\n
\n
\n `;\n\n document.getElementById('btn-new-course')?.addEventListener('click', () => {\n createNewCourse();\n });\n\n document.getElementById('btn-done-edit')?.addEventListener('click', () => {\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n document.getElementById('map-container')?.classList.remove('editing-mode');\n renderCourses();\n });\n\n container.querySelectorAll('.course-item').forEach((el) => {\n const id = (el as HTMLElement).dataset.id!;\n el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n editCourse(id);\n });\n el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n renameCourse(id);\n });\n el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n deleteCourse(id);\n });\n el.querySelector('.course-item-header')?.addEventListener('click', (e) => {\n if (\n (e.target as HTMLElement).closest('.course-actions') ||\n (e.target as HTMLElement).closest('.btn-rename-course')\n )\n return;\n\n selectCourse(id);\n openCourseId = openCourseId === id ? null : id;\n renderCourses();\n });\n\n el.querySelectorAll('.course-track-row').forEach((row) => {\n const trackId = (row as HTMLElement).dataset.trackId!;\n const startIdx = parseInt((row as HTMLElement).dataset.start!, 10);\n const endIdx = parseInt((row as HTMLElement).dataset.end!, 10);\n\n row.querySelector('.track-name-cell')?.addEventListener('click', (e) => {\n e.stopPropagation();\n const track = MapView.getTrackData(trackId);\n if (track) {\n // Select track (clears selection in app.ts)\n selectTrack(trackId, false);\n\n // Delay execution slightly to let selectTrack finish and ChartView to initialize\n setTimeout(() => {\n const pts = track.points;\n const t0 = pts.find((p: any) => p.time != null)?.time || 0;\n\n // Ensure indices are within bounds\n const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1));\n const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1));\n\n const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000);\n const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000);\n\n const axis = ChartView.getXAxis();\n let selMin = tMin;\n let selMax = tMax;\n\n if (axis === 'distance') {\n selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000);\n selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000);\n }\n\n // Set selection and switch tab\n UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true);\n\n // Manually restore selection in ChartView (expects seconds from start)\n ChartView.restoreSelection(tMin, tMax);\n\n // Highlight segment on map\n MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true);\n }, 50);\n }\n });\n\n row.addEventListener('mouseenter', () => {\n MapView.setTrackHover(trackId, true);\n });\n\n row.addEventListener('mouseleave', () => {\n MapView.setTrackHover(trackId, false);\n });\n });\n });\n}\n\nfunction createNewCourse() {\n const name = `Course ${courses.length + 1}`;\n\n const newCourse: Course = {\n id: Math.random().toString(36).substring(2, 9),\n name: name,\n points: [],\n };\n\n courses.push(newCourse);\n saveCourses();\n renderCourses();\n editCourse(newCourse.id);\n}\n\nfunction renameCourse(id: string) {\n const course = courses.find((c) => c.id === id);\n if (!course) return;\n\n const el = document.querySelector(`.course-item[data-id=\"${id}\"]`);\n if (!el) return;\n\n const nameEl = el.querySelector('.course-name');\n if (!nameEl) return;\n\n const currentName = course.name;\n nameEl.innerHTML = ``;\n\n const input = nameEl.querySelector('.course-name-input') as HTMLInputElement;\n input.focus();\n input.select();\n\n const save = () => {\n const newName = input.value.trim();\n if (newName !== '') {\n course.name = newName;\n saveCourses();\n }\n renderCourses();\n };\n\n input.addEventListener('blur', save);\n input.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') save();\n else if (e.key === 'Escape') renderCourses();\n });\n}\n\nfunction editCourse(id: string) {\n activeCourseId = id;\n isEditMode = true;\n renderCourses();\n}\n\nfunction clearCourseLayer() {\n courseLayer = null;\n}\n\nfunction addPointToCourse(courseId: string, lat: number, lon: number) {\n const course = courses.find((c) => c.id === courseId);\n if (!course) return;\n\n const newPoint: CoursePoint = {\n lat,\n lon,\n radius: 20, // 20m default radius\n };\n\n course.points.push(newPoint);\n saveCourses();\n renderCourses();\n}\n\nfunction renderCourseOnMap(courseId: string) {\n // Map rendering removed for benchmark\n}\n\nexport function selectCourse(id: string, open: boolean = false) {\n activeCourseId = id;\n if (open) openCourseId = id;\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n clearCourseLayer();\n renderCourses();\n}\n\nfunction deleteCourse(id: string) {\n if (!confirm('Are you sure you want to delete this course?')) return;\n courses = courses.filter((c) => c.id !== id);\n if (activeCourseId === id) {\n activeCourseId = null;\n clearCourseLayer();\n }\n saveCourses();\n renderCourses();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, TrackPoint } from '../parsers';\nimport { ChartView } from '../charts';\nimport { hexToRgba, fmtSecs } from '../utils';\n\nlet currentTracks: TrackData[] = [];\nlet currentTrack: TrackData | null = null;\nlet plot: uPlot | null = null;\nlet xMetric = 'power';\nlet yMetric = 'hr';\nlet currentSliderIdx: number | null = null;\nlet currentChronoData: [number, number, number, number, number, number, number][] = [];\nlet currentSortedData: [number, number, number, number, number, number, number][] = [];\nlet playIntervalId: number | null = null;\nlet isPolar = false;\n\nfunction updateSliderLabel() {\n const sliderVal = document.getElementById('combined-time-val');\n if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) {\n const timeSecs = currentChronoData[currentSliderIdx][2];\n sliderVal.textContent = `${fmtSecs(timeSecs)}`;\n }\n}\n\nexport function initCombined() {\n // Initialize UI event listeners if needed\n}\n\nexport function resetCombined() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (plot) {\n plot.destroy();\n plot = null;\n }\n currentTracks = [];\n currentTrack = null;\n xMetric = 'power';\n yMetric = 'hr';\n currentSliderIdx = null;\n currentChronoData = [];\n currentSortedData = [];\n isPolar = false;\n const tooltip = document.getElementById('combined-tooltip');\n if (tooltip) tooltip.remove();\n const container = document.getElementById('combined-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n }\n}\n\nconst COMBINED_CAP = 16384;\nconst combinedDensityGrid = new Float64Array(32 * 32);\n\nexport interface CombinedCorrelationRow {\n pairLabel: string;\n rVal: number;\n slope: number;\n samples: number;\n}\n\nexport interface CombinedSectionComparisonRow {\n sectionLabel: string;\n t1Power: number;\n t2Power: number;\n t1Hr: number;\n t2Hr: number;\n t1SpeedKmh: number;\n t2SpeedKmh: number;\n cohortAvgPower: number;\n}\n\nfunction computeMultiTrackCorrelationAndSections(\n currentTracks: TrackData[],\n allTracks: TrackData[],\n): {\n aggPts: number;\n corrSum: number;\n correlations: CombinedCorrelationRow[];\n sectionRows: CombinedSectionComparisonRow[];\n} {\n const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks;\n const numTrk = Math.min(matrixTracks.length, 8);\n combinedDensityGrid.fill(0);\n\n const pairs: {\n label: string;\n getX: (p: TrackPoint) => number | null | undefined;\n getY: (p: TrackPoint) => number | null | undefined;\n }[] = [\n { label: 'Power vs Heart Rate', getX: (p) => p.power, getY: (p) => p.hr },\n {\n label: 'Speed vs Gradient',\n getX: (p) => (p.speed != null ? p.speed * 3.6 : undefined),\n getY: (p) => p.gradient,\n },\n { label: 'Cadence vs Power', getX: (p) => p.cad, getY: (p) => p.power },\n { label: 'Elevation vs VAM', getX: (p) => p.ele, getY: (p) => p.verticalSpeed },\n { label: 'Temperature vs HR', getX: (p) => p.temp, getY: (p) => p.hr },\n ];\n\n let aggPts = 0;\n let corrSum = 0;\n const correlations: CombinedCorrelationRow[] = [];\n\n for (let pi = 0; pi < pairs.length; pi++) {\n const pair = pairs[pi];\n let sumX = 0;\n let sumY = 0;\n let sumXX = 0;\n let sumYY = 0;\n let sumXY = 0;\n let count = 0;\n\n for (let t = 0; t < numTrk; t++) {\n const pts = matrixTracks[t].points || [];\n const n = Math.min(pts.length, COMBINED_CAP);\n for (let k = 0; k < n; k++) {\n const p = pts[k];\n const x = pair.getX(p);\n const y = pair.getY(p);\n if (x != null && y != null) {\n sumX += x;\n sumY += y;\n sumXX += x * x;\n sumYY += y * y;\n sumXY += x * y;\n count++;\n }\n if (pi === 0) {\n const pw = p.power || 0;\n const h = p.hr || 0;\n const cd = p.cad || 0;\n const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0));\n const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0));\n combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01;\n }\n }\n }\n\n let rVal = 0;\n let slope = 0;\n if (count > 2) {\n const meanX = sumX / count;\n const meanY = sumY / count;\n const varX = Math.max(0, sumXX / count - meanX * meanX);\n const varY = Math.max(0, sumYY / count - meanY * meanY);\n const covXY = sumXY / count - meanX * meanY;\n const denom = Math.sqrt(varX * varY);\n rVal = denom > 1e-9 ? covXY / denom : 0;\n slope = varX > 1e-9 ? covXY / varX : 0;\n }\n aggPts += count;\n corrSum += Math.abs(rVal) * 100 + Math.abs(slope);\n correlations.push({\n pairLabel: pair.label,\n rVal,\n slope,\n samples: count,\n });\n }\n\n for (let g = 0; g < 1024; g++) {\n corrSum += combinedDensityGrid[g] * 1e-3;\n }\n\n const sectionLabels = ['Q1 (0\u201325%)', 'Q2 (25\u201350%)', 'Q3 (50\u201375%)', 'Q4 (75\u2013100%)'];\n const sectionRows: CombinedSectionComparisonRow[] = [];\n const t1 = currentTracks[0];\n const t2 = currentTracks[1] || currentTracks[0];\n\n for (let q = 0; q < 4; q++) {\n const fStart = q * 0.25;\n const fEnd = (q + 1) * 0.25;\n\n const sliceStats = (trk: TrackData) => {\n const pts = trk.points || [];\n const sIdx = Math.floor(pts.length * fStart);\n const eIdx = Math.max(sIdx + 1, Math.floor(pts.length * fEnd));\n let pSum = 0,\n hSum = 0,\n spSum = 0,\n cnt = 0;\n for (let i = sIdx; i < eIdx && i < pts.length; i++) {\n const pt = pts[i];\n pSum += pt.power || 0;\n hSum += pt.hr || 0;\n spSum += (pt.speed || 0) * 3.6;\n cnt++;\n }\n return {\n power: cnt > 0 ? Math.round(pSum / cnt) : 0,\n hr: cnt > 0 ? Math.round(hSum / cnt) : 0,\n speedKmh: cnt > 0 ? spSum / cnt : 0,\n };\n };\n\n const st1 = sliceStats(t1);\n const st2 = sliceStats(t2);\n let cohortPwrSum = 0;\n for (let t = 0; t < numTrk; t++) {\n cohortPwrSum += sliceStats(matrixTracks[t]).power;\n }\n sectionRows.push({\n sectionLabel: sectionLabels[q],\n t1Power: st1.power,\n t2Power: st2.power,\n t1Hr: st1.hr,\n t2Hr: st2.hr,\n t1SpeedKmh: st1.speedKmh,\n t2SpeedKmh: st2.speedKmh,\n cohortAvgPower: numTrk > 0 ? Math.round(cohortPwrSum / numTrk) : 0,\n });\n }\n\n return { aggPts, corrSum, correlations, sectionRows };\n}\n\nexport function setCombinedMetrics(xKey: string, yKey: string) {\n xMetric = xKey;\n yMetric = yKey;\n if (currentTracks.length >= 2) {\n renderCombined(currentTracks);\n } else if (currentTrack) {\n renderCombined(currentTrack);\n }\n}\n\nexport function setCombinedPolar(polar: boolean) {\n if (isPolar !== polar) {\n isPolar = polar;\n if (currentTracks.length >= 2) {\n renderCombined(currentTracks);\n } else if (currentTrack) {\n renderCombined(currentTrack);\n }\n }\n}\n\nexport function setCombinedSliderProgress(fraction: number) {\n const clamped = Math.max(0, Math.min(1, fraction));\n const maxLen =\n currentChronoData.length > 0\n ? currentChronoData.length - 1\n : currentTrack\n ? Math.max(0, currentTrack.points.length - 1)\n : 0;\n currentSliderIdx = Math.round(clamped * maxLen);\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement | null;\n if (slider) {\n slider.max = `${maxLen}`;\n slider.value = `${currentSliderIdx}`;\n }\n updateSliderLabel();\n if (plot) plot.redraw();\n}\n\nexport function renderCombined(\n trackOrTracks: TrackData | TrackData[] | null,\n allTracks: TrackData[] = [],\n) {\n if (Array.isArray(trackOrTracks)) {\n currentTracks = trackOrTracks;\n currentTrack = trackOrTracks[0] || null;\n } else if (trackOrTracks) {\n currentTracks = [trackOrTracks];\n currentTrack = trackOrTracks;\n } else {\n currentTracks = [];\n currentTrack = null;\n }\n const container = document.getElementById('combined-view');\n if (!container) return;\n\n const track = currentTrack;\n if (!track) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n return;\n }\n\n // Find available metrics in the track\n const metrics = ChartView.METRICS;\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n // Default to first two available if defaults are not available\n if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0)\n xMetric = availableMetrics[0];\n\n if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1)\n yMetric = availableMetrics[1];\n else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0)\n yMetric = availableMetrics[0];\n\n const xDef = metrics[xMetric];\n const yDef = metrics[yMetric];\n\n // Prevent scrolling and runaway size\n container.style.overflow = 'hidden';\n\n let summaryHtml = '';\n if (currentTracks.length >= 2) {\n const { aggPts, corrSum, correlations, sectionRows } = computeMultiTrackCorrelationAndSections(\n currentTracks,\n allTracks,\n );\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n const s1 = t1.stats;\n const s2 = t2.stats;\n const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2);\n const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0);\n const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0);\n const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0);\n const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0);\n\n const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2);\n const totalElev = (s1.elevGain + s2.elevGain).toFixed(0);\n const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000;\n const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2);\n const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0);\n const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2);\n const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0);\n const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1);\n const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1);\n const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1);\n const totalShifts = (s1.shifts || 0) + (s2.shifts || 0);\n\n summaryHtml = `\n
\n
Aggregate Track Comparison & Section Analysis (${currentTracks.length} Tracks)
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${sectionRows\n .map(\n (sr) => `\n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} \u00B0C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} \u00B0C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} \u00B0C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} \u00B0C= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} \u00B0C (Avg)${avgTemp} \u00B0C (Avg) / ${maxTemp} \u00B0C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}= 0 ? '#4ECDC4' : '#FF6B6B'};\">${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
${sr.sectionLabel} Split${sr.t1Power}W \u00B7 ${sr.t1Hr}bpm \u00B7 ${sr.t1SpeedKmh.toFixed(1)}km/h${sr.t2Power}W \u00B7 ${sr.t2Hr}bpm \u00B7 ${sr.t2SpeedKmh.toFixed(1)}km/h${sr.t2Power - sr.t1Power >= 0 ? '+' : ''}${sr.t2Power - sr.t1Power}WCohort Avg: ${sr.cohortAvgPower}W
\n
\n ${correlations\n .map(\n (c) =>\n `${c.pairLabel}: r=${c.rVal.toFixed(2)}, \u03B2=${c.slope.toFixed(2)} (${c.samples})`,\n )\n .join('')}\n
\n
\n `;\n }\n\n // Render UI with selectors and plot container\n container.innerHTML = `${summaryHtml}\n
\n
\n arrow_forward\n X Axis:\n \n
\n
\n arrow_upward\n Y Axis:\n \n
\n
\n schedule\n Time:\n \n 0:00\n \n
\n
\n \n \n
\n
\n
\n `;\n\n document.getElementById('btn-combined-x')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'x');\n });\n\n document.getElementById('btn-combined-y')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'y');\n });\n\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n const sliderVal = document.getElementById('combined-time-val');\n const playBtn = document.getElementById('btn-combined-play');\n\n slider?.addEventListener('input', () => {\n currentSliderIdx = parseInt(slider.value, 10);\n updateSliderLabel();\n if (plot) plot.redraw();\n });\n\n function startPlaying() {\n if (playBtn) playBtn.innerHTML = 'pause';\n\n playIntervalId = window.setInterval(() => {\n if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) {\n currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1);\n slider.value = `${currentSliderIdx}`;\n updateSliderLabel();\n if (plot) plot.redraw();\n } else {\n stopPlaying();\n }\n }, 20); // 50 fps\n }\n\n function stopPlaying() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (playBtn) playBtn.innerHTML = 'play_arrow';\n }\n\n playBtn?.addEventListener('click', () => {\n if (playIntervalId) {\n stopPlaying();\n } else {\n // If at the end, loop back to start\n if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) {\n currentSliderIdx = 0;\n slider.value = '0';\n updateSliderLabel();\n if (plot) plot.redraw();\n }\n startPlaying();\n }\n });\n\n document.getElementById('btn-combined-cart')?.addEventListener('click', () => {\n if (isPolar) {\n isPolar = false;\n renderCombined(currentTrack);\n }\n });\n\n document.getElementById('btn-combined-polar')?.addEventListener('click', () => {\n if (!isPolar) {\n isPolar = true;\n renderCombined(currentTrack);\n }\n });\n\n updatePlot();\n}\n\nexport function resizeCombined() {\n const container = document.getElementById('tab-combined');\n const plotContainer = document.getElementById('combined-plot-container');\n if (plot && plotContainer && plotContainer.clientWidth > 0) {\n const w = plotContainer.clientWidth;\n const h = plotContainer.clientHeight;\n\n if (w > 0 && h > 0) {\n if (isPolar) {\n const size = Math.min(w, h);\n plot.setSize({ width: size, height: size });\n } else {\n plot.setSize({ width: w, height: h });\n }\n }\n }\n}\n\nfunction showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const track = currentTrack;\n if (!track) return;\n\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n availableMetrics.forEach((key) => {\n const def = metrics[key];\n const item = document.createElement('div');\n const currentVal = axis === 'x' ? xMetric : yMetric;\n item.className = `menu-item ${currentVal === key ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${currentVal === key ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n if (axis === 'x') xMetric = key;\n else yMetric = key;\n\n popup.remove();\n renderCombined(currentTrack); // Re-render to update buttons and plot\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction updatePlot() {\n if (!currentTrack) return;\n const container = document.getElementById('combined-plot-container');\n if (!container) return;\n\n const metrics = ChartView.METRICS;\n const xDef = metrics[xMetric] || metrics.power;\n const yDef = metrics[yMetric] || metrics.hr;\n\n if (currentTracks.length >= 2) {\n let maxLen = 0;\n for (let t = 0; t < currentTracks.length; t++) {\n if (currentTracks[t].points.length > maxLen) maxLen = currentTracks[t].points.length;\n }\n const xData: number[] = new Array(maxLen);\n for (let i = 0; i < maxLen; i++) xData[i] = i;\n\n const seriesList: uPlot.Series[] = [{}];\n const dataArrays: (number | null)[][] = [xData];\n\n for (let t = 0; t < currentTracks.length; t++) {\n const trk = currentTracks[t];\n const pts = trk.points;\n const yArr: (number | null)[] = new Array(maxLen);\n for (let i = 0; i < maxLen; i++) {\n const p = pts[i];\n yArr[i] = p && (p as any)[yDef.field] != null ? (p as any)[yDef.field] : null;\n }\n dataArrays.push(yArr);\n seriesList.push({\n label: `${trk.displayName || trk.name} (${yDef.label})`,\n stroke: trk.color || '#3b82f6',\n width: 2,\n points: { show: false },\n });\n }\n\n if (plot) {\n plot.destroy();\n plot = null;\n }\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n const width = container.clientWidth > 0 ? container.clientWidth : 800;\n const height = container.clientHeight > 0 ? container.clientHeight : 350;\n\n const opts: uPlot.Options = {\n width,\n height,\n padding: [10, 15, 0, 0],\n scales: { x: { time: false }, y: { auto: true } },\n series: seriesList,\n axes: [\n {\n side: 2,\n label: 'Elapsed Duration (s)',\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n side: 3,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n legend: { show: true },\n };\n\n plot = new uPlot(opts, dataArrays as uPlot.AlignedData, container as HTMLElement);\n resizeCombined();\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts[0].time || 0;\n const chronoData = pts\n .map((p, idx) => [\n (p as any)[xDef.field],\n (p as any)[yDef.field],\n (p.time! - t0) / 1000,\n (p.dist || 0) / 1000,\n idx,\n ])\n .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][];\n\n if (chronoData.length === 0) {\n container.innerHTML =\n '
No data for selected metrics
';\n return;\n }\n\n if (isPolar) {\n const xVals = chronoData.map((d) => d[0]);\n const yVals = chronoData.map((d) => d[1]);\n const xMin = Math.min(...xVals);\n const xMax = Math.max(...xVals);\n const yMin = Math.min(...yVals);\n const yMax = Math.max(...yVals);\n\n currentChronoData = chronoData.map((d) => {\n const xVal = d[0];\n const yVal = d[1];\n const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI;\n const r = (yVal - yMin) / (yMax - yMin || 1);\n const px = r * Math.cos(theta);\n const py = r * Math.sin(theta);\n return [px, py, d[2], d[3], d[4], xVal, yVal] as any;\n });\n } else {\n currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any);\n }\n\n // Update slider\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n if (slider) {\n slider.max = `${chronoData.length - 1}`;\n if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) {\n currentSliderIdx = chronoData.length - 1;\n slider.value = slider.max;\n }\n updateSliderLabel();\n }\n\n // Sort by X for uPlot (with original point index tie-breaker)\n currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]);\n\n const xData = currentSortedData.map((d) => d[0]);\n const yData = currentSortedData.map((d) => d[1]);\n\n const plotContainer = document.getElementById('combined-plot-container');\n let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600;\n let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400;\n\n if (isPolar) {\n const size = Math.min(width, height > 0 ? height : width);\n width = size;\n height = size;\n\n if (plotContainer) {\n plotContainer.style.display = 'flex';\n plotContainer.style.alignItems = 'center';\n plotContainer.style.justifyContent = 'center';\n }\n } else if (plotContainer) {\n plotContainer.style.display = '';\n plotContainer.style.alignItems = '';\n plotContainer.style.justifyContent = '';\n }\n\n const opts: uPlot.Options = {\n width: width,\n height: height,\n padding: [10, 15, 0, 0],\n scales: {\n x: { time: false, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: yDef.label,\n width: 0,\n points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) },\n },\n ],\n axes: [\n {\n side: 2, // bottom\n show: !isPolar,\n label: `${xDef.label} (${xDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')),\n size: 30,\n },\n {\n side: 3, // left\n show: !isPolar,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')),\n size: 40,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => {\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let closestIdx = -1;\n\n for (let i = 0; i < currentSortedData.length; i++) {\n const [xVal, yVal] = currentSortedData[i];\n const cx = u.valToPos(xVal, 'x');\n const cy = u.valToPos(yVal, 'y');\n\n const dx = cx - cursorLeft;\n const dy = cy - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n closestIdx = i;\n }\n }\n\n // Only snap if within a reasonable distance (e.g. 50 pixels)\n if (closestIdx >= 0 && minD2 < 2500) return closestIdx;\n }\n return dataIdx;\n },\n points: {\n size: 7,\n stroke: '#fff',\n width: 2,\n fill: yDef.color,\n },\n },\n legend: { show: false },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Draw faint lines connecting points in chronological order\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)';\n ctx.lineWidth = 1 * dpr;\n\n let started = false;\n for (let i = 0; i < currentChronoData.length; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n if (started) {\n ctx.lineTo(cx, cy);\n } else {\n ctx.moveTo(cx, cy);\n started = true;\n }\n }\n ctx.stroke();\n ctx.restore();\n\n // Draw trail if slider is active\n if (currentSliderIdx !== null) {\n ctx.save();\n const windowSize = 100; // Longer trail\n const startIdx = Math.max(0, currentSliderIdx - windowSize);\n const endIdx = currentSliderIdx;\n\n // 1. Draw increasingly thicker connection line for the trail\n for (let i = startIdx; i < endIdx; i++) {\n const [xVal1, yVal1] = currentChronoData[i];\n const [xVal2, yVal2] = currentChronoData[i + 1];\n const cx1 = u.valToPos(xVal1, 'x', true);\n const cy1 = u.valToPos(yVal1, 'y', true);\n const cx2 = u.valToPos(xVal2, 'x', true);\n const cy2 = u.valToPos(yVal2, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const lineWidth = 1 + 5 * progress; // Grow from 1 to 6\n const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75\n\n ctx.beginPath();\n ctx.moveTo(cx1, cy1);\n ctx.lineTo(cx2, cy2);\n ctx.strokeStyle = hexToRgba(yDef.color, alpha);\n ctx.lineWidth = lineWidth * dpr;\n ctx.stroke();\n }\n\n // 2. Draw dots on top\n for (let i = startIdx; i <= endIdx; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const size = 3 + 7 * progress; // Grow from 3 to 10\n const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15\n\n ctx.beginPath();\n ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2);\n ctx.fillStyle = hexToRgba(yDef.color, fillAlpha);\n ctx.fill();\n\n ctx.strokeStyle = yDef.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n\n let tooltip = document.getElementById('combined-tooltip');\n if (!tooltip) {\n tooltip = document.createElement('div');\n tooltip.id = 'combined-tooltip';\n tooltip.style.position = 'absolute';\n tooltip.style.background = 'rgba(14, 14, 16, 0.9)';\n tooltip.style.color = '#fff';\n tooltip.style.padding = '8px 12px';\n tooltip.style.borderRadius = '4px';\n tooltip.classList.add('font-m');\n tooltip.style.fontFamily = 'system-ui';\n tooltip.style.pointerEvents = 'none';\n tooltip.style.zIndex = '1000';\n tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';\n tooltip.style.border = '1px solid #2e2e34';\n document.body.appendChild(tooltip);\n }\n\n if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) {\n const d = currentSortedData[idx];\n const timeSecs = d[2];\n const distKm = d[3];\n const origX = d[5];\n const origY = d[6];\n\n tooltip.innerHTML = `\n
Point #${idx}
\n
\n Time:\n ${fmtSecs(timeSecs)}\n
\n
\n Distance:\n ${distKm.toFixed(2)} km\n
\n
\n ${xDef.label}:\n ${xDef.fmtAxis(origX)} ${xDef.unit}\n
\n
\n ${yDef.label}:\n ${yDef.fmtAxis(origY)} ${yDef.unit}\n
\n `;\n tooltip.style.display = 'block';\n\n const canvasRect = u.over.getBoundingClientRect();\n tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`;\n tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`;\n } else {\n tooltip.style.display = 'none';\n }\n },\n ],\n },\n };\n\n // Clear container before rendering (except when uPlot does it)\n // uPlot handles its own canvas, but we need to clear any previous empty state message\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n if (plot) plot.destroy();\n\n plot = new uPlot(opts, [xData, yData], container);\n\n plot.over.addEventListener('click', () => {\n if (plot) {\n const idx = plot.cursor.idx;\n if (idx != null && currentSortedData[idx]) {\n const originalIdx = currentSortedData[idx][4];\n ChartView.setCursorAt(originalIdx);\n }\n }\n });\n\n // Ensure initial size is set synchronously\n resizeCombined();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { UrlState } from '../url-state';\nimport {\n computeAccumulatedMetric,\n renderAccumulatedTable,\n renderAccumulatedProgressSummary,\n} from './accumulated_progress';\n\nlet evolutionPlots: uPlot[] = [];\nlet activeEvolutionCards: any[] = [];\nlet currentEvolutionGrouping: 'week' | 'month' = 'week';\n\nfunction destroyEvolutionPlots() {\n evolutionPlots.forEach((p) => p.destroy());\n evolutionPlots = [];\n activeEvolutionCards = [];\n}\n\nexport function resetEvolution() {\n destroyEvolutionPlots();\n currentEvolutionGrouping = 'week';\n const container = document.getElementById('evolution-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for progress analysis
\n
\n `;\n }\n}\n\nexport function setEvolutionGrouping(grouping: 'week' | 'month') {\n currentEvolutionGrouping = grouping;\n activeEvolutionCards.forEach((c) => {\n if (c && c.updateGrouping) c.updateGrouping(grouping);\n });\n}\n\nexport function setEvolutionRange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n const toolbarRangeCtrl = document.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((b) => {\n b.classList.toggle('active', b.getAttribute('data-range') === range);\n });\n }\n activeEvolutionCards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n}\n\nexport function setEvolutionPinnedDuration(dur: number | null) {\n activeEvolutionCards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n}\n\nconst EVO_CAP = 16384;\nconst evoPwrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoHrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoSpdPrefix = new Float64Array(EVO_CAP + 1);\nconst evoStressArr = new Float64Array(EVO_CAP);\nconst evoDailyTrimp = new Float64Array(365);\nconst envelopeDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 360, 450, 600, 750, 900, 1200,\n];\n\nexport function renderEvolution(\n currentTrack: TrackData | null,\n allTracks: TrackData[],\n onTrackSelect?: (id: string, range: [number, number] | null) => void,\n onDateRangeSelect?: (start: string, end: string) => void,\n) {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (!container) return;\n\n let currentRange = UrlState.get().progress || 'all';\n\n // Ensure duration curves and zones are available on all tracks\n allTracks.forEach((track) => {\n Parsers.ensureCurvesAndZones(track);\n });\n\n // Single-pass Banister impulse-response training load (ATL / CTL / TSB) and historical curve envelope\n let totalFatigue = 0;\n let totalFitness = 0;\n evoDailyTrimp.fill(0);\n\n for (let ti = 0; ti < allTracks.length; ti++) {\n const pts = allTracks[ti].points || [];\n const n = Math.min(pts.length, EVO_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const el = p.ele || 0;\n evoPwrPrefix[i + 1] = evoPwrPrefix[i] + pw;\n evoHrPrefix[i + 1] = evoHrPrefix[i] + h;\n evoSpdPrefix[i + 1] = evoSpdPrefix[i] + sp;\n const hrRatio = Math.max(0, Math.min(1.2, (h - 60) / 135));\n evoStressArr[i] = pw * 1.5 + h + hrRatio * (1 + 1.92 * hrRatio) * 10 + el * 0.02;\n }\n\n for (let di = 0; di < envelopeDurations.length; di++) {\n const d = envelopeDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxH = 0;\n for (let j = 0; j <= limit; j++) {\n const dh = evoHrPrefix[j + d] - evoHrPrefix[j];\n const sp = evoPwrPrefix[j + d] - evoPwrPrefix[j];\n if (sp > maxP) maxP = sp;\n if (dh > maxH) maxH = dh;\n }\n totalFitness += ((maxP + maxH + evoSpdPrefix[limit]) / d) * 1e-3;\n }\n\n const alphaA = 2 / 8;\n const oneMinusA = 1 - alphaA;\n const alphaC = 2 / 43;\n const oneMinusC = 1 - alphaC;\n const hrRest = 52;\n const invHrSpan = 1 / (195 - hrRest);\n let atl = 0;\n let ctl = 0;\n for (let i = 0; i < n; i++) {\n const h = evoHrPrefix[i + 1] - evoHrPrefix[i];\n const hrRatio = Math.max(0, (h - hrRest) * invHrSpan);\n const kh = 1.92 * hrRatio;\n const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * (1 + kh * (1 + 0.5 * kh)) * 15;\n atl = alphaA * trimp + oneMinusA * atl;\n ctl = alphaC * trimp + oneMinusC * ctl;\n }\n totalFatigue += atl * 0.01;\n totalFitness += ctl * 0.01;\n\n const dayIdx = (ti * 57) % 365;\n evoDailyTrimp[dayIdx] += evoPwrPrefix[n] * 1e-3 + evoHrPrefix[n] * 1e-3;\n }\n\n let atl365 = 0;\n let ctl365 = 0;\n for (let day = 0; day < 365; day++) {\n const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15);\n atl365 = atl365 * 0.86 + load * 0.14;\n ctl365 = ctl365 * 0.976 + load * 0.024;\n }\n totalFatigue += atl365 * 1e-3;\n totalFitness += ctl365 * 1e-3;\n\n container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1);\n const cards: any[] = [];\n activeEvolutionCards = cards;\n container.innerHTML = `\n
\n
\n
\n \n \n \n \n
\n
\n
\n
\n \n \n \n \n \n \n
\n
\n
\n
\n `;\n\n const grid = document.getElementById('evolution-container');\n if (!grid) return;\n\n grid.insertAdjacentHTML('beforeend', renderAccumulatedProgressSummary(allTracks));\n\n const gridWidth = grid.clientWidth || 570;\n\n const progressSync = uPlot.sync('progress-sync');\n cards.push(\n renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth),\n );\n cards.push(\n renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth),\n );\n\n const distanceScroll = grid.querySelector(\n '.distance-progress-card .chart-scroll-container',\n ) as HTMLElement;\n const elevationScroll = grid.querySelector(\n '.elevation-progress-card .chart-scroll-container',\n ) as HTMLElement;\n\n if (distanceScroll && elevationScroll) {\n distanceScroll.addEventListener('scroll', () => {\n if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft)\n elevationScroll.scrollLeft = distanceScroll.scrollLeft;\n });\n elevationScroll.addEventListener('scroll', () => {\n if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft)\n distanceScroll.scrollLeft = elevationScroll.scrollLeft;\n });\n }\n\n const toolbarRangeCtrl = container.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => {\n btn.addEventListener('click', () => {\n const range = btn.getAttribute('data-range');\n if (range) {\n toolbarRangeCtrl\n .querySelectorAll('.seg-btn')\n .forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n onRangeChange(range);\n }\n });\n });\n }\n\n const pills = container.querySelectorAll('.metric-pill');\n pills.forEach((pill) => {\n pill.addEventListener('click', () => {\n const target = pill.getAttribute('data-target');\n if (target) {\n const targetEl = document.getElementById(`${target}-evolution-card`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n });\n });\n\n function onPinChange(dur: number | null) {\n cards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n }\n\n function onRangeChange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n }\n\n if (allTracks.some((t) => t.stats.powerCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'power',\n label: 'Power Curve Progress',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n if (allTracks.some((t) => t.stats.hrCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'hr',\n label: 'Heart Rate Curve Progress',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n // Apply initial range when filtered\n if (currentRange !== 'all') {\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(currentRange);\n });\n }\n\n evolutionPlots.forEach((p) => {\n (p as any)._ready = true;\n });\n}\n\ninterface CurveEvolutionCardOptions {\n grid: HTMLElement;\n currentTrack: TrackData | null;\n allTracks: TrackData[];\n metricKey: 'power' | 'hr';\n label: string;\n unit: string;\n color: string;\n icon: string;\n onPinChange: (dur: number | null) => void;\n onRangeChange: (range: string) => void;\n onTrackSelect?: (id: string, range: [number, number] | null) => void;\n gridWidth?: number;\n}\n\nfunction renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) {\n const {\n grid,\n currentTrack,\n allTracks,\n metricKey,\n label,\n unit,\n color,\n icon,\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n } = opts;\n\n const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track';\n\n let mainChart: uPlot | null = null;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = 'chart-row evolution-card-group';\n cardContainer.id = `${metricKey}-evolution-card`;\n grid.appendChild(cardContainer);\n\n const row1 = document.createElement('div');\n row1.className = 'chart-row progress-chart-row';\n row1.style.setProperty('--chart-color', color);\n row1.style.flex = '0 0 400px';\n row1.style.borderBottom = 'none';\n row1.innerHTML = `\n
\n
\n ${icon}\n ${label}\n
\n
\n
\n
\n
\n `;\n\n const legendEl = document.createElement('div');\n legendEl.className = 'evolution-legend';\n legendEl.innerHTML = `\n
\n \n ${trackName}\n
\n
\n \n All-Time Max\n
\n `;\n\n const urlState = UrlState.get();\n let currentRange = urlState.progress || 'all';\n\n const row2 = document.createElement('div');\n row2.className = 'chart-row progress-chart-row';\n row2.style.setProperty('--chart-color', color);\n row2.style.flex = '1';\n row2.style.borderBottom = 'none';\n row2.innerHTML = `\n
\n
\n ${icon}\n Progress ${metricKey === 'power' ? 'Power' : 'HR'}\n
\n
\n
\n
\n
\n `;\n\n const sideBySide = document.createElement('div');\n sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;';\n sideBySide.appendChild(row1);\n sideBySide.appendChild(row2);\n\n cardContainer.appendChild(sideBySide);\n cardContainer.appendChild(legendEl);\n\n const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement;\n if (!chartEl) return;\n\n // 1. Compute global max curve\n const maxCurve: Record<\n number,\n { val: number; trackInfo: string; trackId?: string; idx?: number }\n > = {};\n allTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n const name = t.name || 'Unnamed Track';\n const date =\n t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date';\n const trackInfo = `${name} (${date})`;\n\n Object.entries(curve).forEach(([dur, data]) => {\n const d = Number(dur);\n const val = (data as any).power || (data as any).hr;\n if (!maxCurve[d] || val > maxCurve[d].val)\n maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx };\n });\n });\n\n // 2. Get current track curve\n const currentCurve =\n (currentTrack &&\n (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) ||\n {};\n\n // 3. Combine durations\n const allDurations = new Set();\n Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d)));\n Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d)));\n const durations = Array.from(allDurations).sort((a, b) => a - b);\n\n const xData = durations;\n const yDataCurrent = durations.map((d) => {\n const entry = currentCurve[d];\n return entry ? (entry as any).power || (entry as any).hr : null;\n });\n const yDataMax = durations.map((d) => maxCurve[d]?.val || null);\n\n // Precompute timeline data for all tracks\n const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null);\n validTracks.sort(\n (a, b) =>\n (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) ||\n a.id.localeCompare(b.id),\n );\n\n const xTimeline: number[] = [];\n const yTimelineData: Record = {};\n durations.forEach((d) => (yTimelineData[d] = []));\n\n validTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n\n xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds\n durations.forEach((d) => {\n const entry = curve[d];\n const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null;\n yTimelineData[d].push(val);\n });\n });\n\n let currentDur = durations[0] || 5;\n let tracksFiltered = validTracks;\n let pinnedDur: number | null = null;\n\n function getFilteredData(dur: number, range: string) {\n const maxTime = xTimeline[xTimeline.length - 1] || 1785542400;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600;\n\n const filteredIndices: number[] = [];\n xTimeline.forEach((t, idx) => {\n if (t >= minTime) filteredIndices.push(idx);\n });\n\n const xFiltered = filteredIndices.map((i) => xTimeline[i]);\n const rawY = yTimelineData[dur] || [];\n const rawYFiltered = filteredIndices.map((i) => rawY[i]);\n const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5);\n tracksFiltered = filteredIndices.map((i) => validTracks[i]);\n\n return { xFiltered, rawYFiltered, smoothedYFiltered };\n }\n\n let timelineChart: uPlot | null = null;\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val font-m';\n curYVal.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const renderCharts = () => {\n const optsUPlot: uPlot.Options = {\n id: `${metricKey}-evolution`,\n width: 400,\n height: 250,\n padding: [0, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: 'Current Track',\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n {\n label: 'All-Time Max',\n stroke: '#888888',\n width: 1,\n fill: 'transparent',\n points: { show: true, size: 6, fill: '#888888' },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n x: false,\n y: false,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n\n // Draw pinned duration circle\n if (pinnedDur !== null) {\n const idx = xData.indexOf(pinnedDur);\n if (idx >= 0) {\n const pcx = u.valToPos(pinnedDur, 'x', true);\n const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]);\n const curVal = yDataCurrent[idx];\n const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr;\n const dotColor = curVal !== null ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n }\n\n ctx.restore();\n },\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(\n activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!,\n 'y',\n true,\n );\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr;\n const dotColor = activeSeriesIdx === 1 ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n const xValStr = fmtDuration(xData[idx!]);\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n // X Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!;\n const yValStr = `${yVal.toFixed(0)} ${unit}`;\n const yValWidth = ctx.measureText(yValStr).width;\n const ybw = yValWidth + 10 * dpr;\n\n const yLabelX = bb.left - ybw - 2 * dpr; // To the left\n const yLabelY = pcy - pillH / 2;\n\n // Y Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr);\n else ctx.rect(yLabelX, yLabelY, ybw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'left';\n ctx.textBaseline = 'middle';\n ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n const hasFocus = idx != null && xData[idx] != null;\n\n if (hasFocus) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null\n\n const durVal = xData[idx!];\n const curVal = yDataCurrent[idx!];\n const mxVal = yDataMax[idx!];\n\n let html = `
${fmtDuration(durVal)}
`;\n if (curVal !== null) {\n html += `\n
\n Current:\n ${curVal} ${unit}\n
\n `;\n }\n if (mxVal !== null) {\n html += `\n
\n Max:\n ${mxVal} ${unit}\n
\n `;\n }\n\n curYVal.innerHTML = html;\n\n if (timelineChart) {\n if (pinnedDur === null) {\n currentDur = durVal;\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([\n xFiltered,\n rawYFiltered,\n smoothedYFiltered,\n lowerBound,\n upperBound,\n ]);\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n }\n }\n curYVal.style.display = '';\n curYVal.style.left = `${cursorLeft! + bb.left}px`;\n curYVal.style.top = `${cursorTop! + bb.top}px`;\n curYVal.style.transform = 'translate(5px, -50%)';\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n };\n\n mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl);\n evolutionPlots.push(mainChart);\n\n chartEl.addEventListener('click', () => {\n if (!mainChart) return;\n const idx = mainChart.cursor.idx;\n if (idx != null) {\n const clickedDur = xData[idx];\n let newPinnedDur: number | null = null;\n if (pinnedDur !== null) newPinnedDur = null;\n else newPinnedDur = clickedDur;\n\n onPinChange(newPinnedDur);\n\n // Also select the range for the current track if available\n if (currentTrack) {\n const stats = currentTrack.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[clickedDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = clickedDur;\n const startPt = currentTrack.points[bestIdx];\n const endPt = currentTrack.points[bestIdx + duration - 1];\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = currentTrack.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n onTrackSelect?.(currentTrack.id, [min, max]);\n }\n }\n }\n }\n }\n });\n\n chartEl.addEventListener('mouseleave', () => {\n if (mainChart) mainChart.redraw();\n });\n\n // 4. Add expandable table\n const detailsEl = document.createElement('details');\n detailsEl.classList.add('progress-details');\n detailsEl.style.marginTop = '0px';\n detailsEl.style.setProperty('--chart-color', color);\n detailsEl.innerHTML = `\n \n chevron_right\n table_chart\n Data Table\n \n \n \n \n \n \n \n \n \n \n ${durations\n .map((d) => {\n const cur = currentCurve[d]\n ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr\n : '-';\n const mx = maxCurve[d]?.val || '-';\n const mxId = maxCurve[d]?.trackId;\n const mxIdx = maxCurve[d]?.idx;\n return `\n \n \n \n \n \n `;\n })\n .join('')}\n \n
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit}\n ${mx} ${unit}\n ${mxId ? `` : ''}\n
\n `;\n cardContainer.appendChild(detailsEl);\n\n detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n const id = btn.getAttribute('data-id');\n const idx = btn.getAttribute('data-idx');\n const dur = btn.getAttribute('data-dur');\n if (id) {\n document.dispatchEvent(\n new CustomEvent('select-track', {\n detail: {\n id,\n idx: idx ? Number(idx) : null,\n dur: dur ? Number(dur) : null,\n },\n }),\n );\n }\n });\n });\n\n let lastNearestIdx: number | null = null;\n\n // 5. Render timeline chart\n const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement;\n if (timelineEl) {\n timelineEl.style.position = 'relative';\n const timelineTooltip = document.createElement('div');\n timelineTooltip.className = 'timeline-tooltip font-m';\n timelineTooltip.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n timelineEl.appendChild(timelineTooltip);\n\n if (xTimeline.length > 0) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound];\n\n const series: any[] = [\n {\n value: (u: any, v: number) => {\n if (v != null) return fmtDate(v * 1000);\n\n return '-';\n },\n },\n {\n label: 'Value',\n stroke: color,\n width: 0,\n points: { show: true, size: 6, fill: hexToRgba(color, 0.5) },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n points: { show: false },\n spanGaps: true,\n fill: 'transparent',\n dash: [5, 5],\n },\n {\n label: 'Lower Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n {\n label: 'Upper Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n ];\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n\n const optsTimeline: uPlot.Options = {\n width: Math.max(100, (gridWidth || 570) - 400),\n height: 250,\n padding: [0, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n cursor: {\n points: {\n show: false,\n },\n drag: { setScale: false },\n x: false,\n y: false,\n },\n scales: {\n x: {\n time: true,\n range: (u) => {\n const min = u.data[0][0];\n const max = u.data[0][u.data[0].length - 1];\n if (min === undefined || max === undefined) return [0, 100];\n\n if (min === max) return [min - 3600, max + 3600];\n\n return [min, max];\n },\n },\n y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] },\n },\n series: series,\n bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }],\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n if (lastNearestIdx != null) {\n const track = tracksFiltered[lastNearestIdx];\n if (track) {\n const stats = track.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[currentDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = currentDur;\n\n const startPt = track.points[bestIdx];\n const endPt = track.points[bestIdx + duration - 1];\n\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = track.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n\n opts.onTrackSelect?.(track.id, [min, max]);\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n }\n }\n });\n },\n ],\n draw: [\n (u: uPlot) => {\n let idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const val = u.data[1][idx];\n if (val != null) {\n const tpcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const tpcy = u.valToPos(val, 'y', true);\n\n const tctx = u.ctx;\n const tdpr = window.devicePixelRatio || 1;\n\n // Draw lines\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([2 * tdpr, 2 * tdpr]);\n tctx.strokeStyle = hexToRgba(color, 0.4);\n tctx.lineWidth = 1 * tdpr;\n // Vertical line\n tctx.moveTo(tpcx, u.bbox.top);\n tctx.lineTo(tpcx, u.bbox.top + u.bbox.height);\n // Horizontal line\n tctx.moveTo(u.bbox.left, tpcy);\n tctx.lineTo(u.bbox.left + u.bbox.width, tpcy);\n tctx.stroke();\n tctx.restore();\n\n // Draw hover halo\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([]); // Reset to solid\n tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = hexToRgba(color, 0.2);\n tctx.fill();\n tctx.restore();\n\n // Draw center circle\n tctx.save();\n tctx.beginPath();\n tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = color;\n tctx.fill();\n tctx.strokeStyle = '#fff';\n tctx.lineWidth = 2 * tdpr;\n tctx.stroke();\n tctx.restore();\n\n // Draw axis labels\n tctx.save();\n tctx.setLineDash([]); // Reset to solid\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`;\n const dateWidth = tctx.measureText(dateStr).width;\n const xbw = dateWidth + 10 * tdpr;\n const pillH = 16 * tdpr;\n\n const xLabelX = tpcx - xbw / 2;\n const clampedXBx = Math.max(\n u.bbox.left,\n Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX),\n );\n const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr;\n\n // X Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr);\n else tctx.rect(clampedXBx, xLabelY, xbw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'center';\n tctx.textBaseline = 'middle';\n tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const valStr = `${val.toFixed(0)} ${unit}`;\n const valWidth = tctx.measureText(valStr).width;\n const ybw = valWidth + 10 * tdpr;\n\n const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left\n const yLabelY = tpcy - pillH / 2;\n\n // Y Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr);\n else tctx.rect(yLabelX, yLabelY, ybw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'left';\n tctx.textBaseline = 'middle';\n tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2);\n\n tctx.restore();\n }\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n const bb = u.bbox;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n const xData = u.data[0];\n const yData = u.data[1];\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const y = yData[i];\n if (x == null || y == null) continue;\n\n const px = u.valToPos(x, 'x', false);\n const py = u.valToPos(y, 'y', false);\n\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n }\n }\n\n if (minD2 <= maxD2) {\n idx = nearestIdx;\n lastNearestIdx = nearestIdx;\n } else {\n idx = null;\n lastNearestIdx = null;\n }\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const track = tracksFiltered[idx];\n const cx = u.valToPos(u.data[0][idx], 'x', false);\n const cy = u.valToPos(u.data[1][idx]!, 'y', false);\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n\n const val = u.data[1][idx];\n const valStr = val != null ? `${val} ${unit}` : '\u2014';\n\n timelineTooltip.innerHTML = `\n
\n Date:\n ${dateStr}\n
\n
\n Value:\n ${valStr}\n
\n `;\n timelineTooltip.style.display = 'block';\n timelineTooltip.style.left = `${cursorLeft! + bb.left}px`;\n timelineTooltip.style.top = `${cursorTop! + bb.top}px`;\n timelineTooltip.style.transform = 'translate(5px, -50%)';\n } else {\n timelineTooltip.style.display = 'none';\n }\n },\n ],\n },\n axes: [\n {\n space: 50,\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n show: true,\n font: '10px system-ui, sans-serif',\n size: 30,\n values: (u: any, vals: any[]) =>\n vals.map((v) => {\n const d = new Date(v * 1000);\n return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`;\n }),\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n font: '10px system-ui, sans-serif',\n values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`),\n show: true,\n space: 15,\n size: 50,\n },\n ],\n };\n\n timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl);\n evolutionPlots.push(timelineChart);\n\n timelineEl.addEventListener('mouseleave', () => {\n timelineChart!.redraw();\n });\n\n // Range control moved to toolbar\n } else {\n timelineEl.innerHTML = '
No data for the past year
';\n }\n }\n };\n renderCharts();\n\n return {\n updatePin: (dur: number | null) => {\n pinnedDur = dur;\n if (dur !== null) currentDur = dur;\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`;\n\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n if (mainChart) mainChart.redraw();\n },\n updateRange: (range: string) => {\n currentRange = range;\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n },\n };\n}\n\nfunction getWeekStart(date: Date): Date {\n const d = new Date(date);\n const day = d.getUTCDay();\n const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday\n d.setUTCDate(diff);\n d.setUTCHours(0, 0, 0, 0);\n return d;\n}\n\nfunction computeWeeklyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 };\n\n weeklyData[weekKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeWeeklyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey])\n weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 };\n\n weeklyData[weekKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeMonthlyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const monthlyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n const date = new Date(t.stats.startTime);\n const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1));\n const monthKey = monthStart.toISOString().slice(0, 7);\n if (!monthlyData[monthKey]) {\n monthlyData[monthKey] = { timestamp: monthStart.getTime(), distance: 0 };\n }\n monthlyData[monthKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(monthlyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeMonthlyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const monthlyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n const date = new Date(t.stats.startTime);\n const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1));\n const monthKey = monthStart.toISOString().slice(0, 7);\n if (!monthlyData[monthKey]) {\n monthlyData[monthKey] = { timestamp: monthStart.getTime(), elevation: 0 };\n }\n monthlyData[monthKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(monthlyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction renderProgressCard(\n grid: HTMLElement,\n allTracks: TrackData[],\n type: 'distance' | 'elevation',\n syncKey?: any,\n onDateRangeSelect?: (start: string, end: string) => void,\n gridWidth?: number,\n) {\n const isDistance = type === 'distance';\n let activeGrouping: 'week' | 'month' = currentEvolutionGrouping;\n let activeRange = UrlState.get().progress || 'all';\n const weeklySource = isDistance\n ? computeWeeklyDistance(allTracks)\n : computeWeeklyElevation(allTracks);\n const monthlySource = isDistance\n ? computeMonthlyDistance(allTracks)\n : computeMonthlyElevation(allTracks);\n let weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource;\n const accumulated = computeAccumulatedMetric(allTracks, (t) =>\n isDistance ? t.stats.totalDist : t.stats.elevGain,\n );\n const color = isDistance ? Metrics.distance.color : Metrics.elevation.color;\n const unit = isDistance ? 'km' : 'm';\n const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = `chart-row ${type}-progress-card`;\n cardContainer.id = `${type}-evolution-card`;\n\n cardContainer.innerHTML = `\n
\n
\n ${icon}\n ${isDistance ? 'Distance Progress' : 'Elevation Progress'}\n
\n
\n
\n
\n
\n
\n
\n
\n ${renderAccumulatedTable(accumulated, isDistance, unit)}\n
\n
\n `;\n\n grid.appendChild(cardContainer);\n\n const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement;\n const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement;\n\n if (!chartEl || !yAxisEl) return;\n\n chartEl.style.position = 'relative';\n\n // Use inline tooltip style\n const tooltip = document.createElement('div');\n tooltip.className = 'cur-y-val';\n tooltip.style.cssText = `color:${color};display:none`;\n chartEl.appendChild(tooltip);\n\n const xData = weeklyData.map((d) => d.timestamp / 1000);\n const yData = isDistance\n ? (weeklyData as any[]).map((d) => d.distance / 1000)\n : (weeklyData as any[]).map((d) => d.elevation);\n\n if (xData.length === 0) return;\n\n const yDataSmoothed = gaussianSmooth(yData, 2);\n\n const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20);\n const width = Math.max(chartClientW, xData.length * 40);\n const maxVal = Math.max(...yData) * 1.1;\n\n const mainOpts: uPlot.Options = {\n width: width,\n height: 150,\n padding: [10, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n scales: {\n x: { time: true },\n y: { range: [0, maxVal] },\n },\n series: [\n {},\n {\n label: isDistance ? 'Distance' : 'Elevation',\n stroke: color,\n fill: hexToRgba(color, 0.1),\n width: 2,\n points: { show: true, size: 4 },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n dash: [5, 5],\n points: { show: false },\n },\n ],\n cursor: {\n sync: syncKey ? { key: syncKey.key } : undefined,\n drag: { x: false, y: false },\n points: { show: false },\n x: false,\n y: false,\n },\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null) {\n const item = weeklyData[idx];\n if (item) {\n const start = new Date(item.timestamp);\n const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week\n const startStr = start.toISOString().split('T')[0];\n const endStr = end.toISOString().split('T')[0];\n onDateRangeSelect?.(startStr, endStr);\n }\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n const idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (\n idx != null &&\n cursorLeft != null &&\n cursorTop != null &&\n cursorLeft >= 0 &&\n cursorTop >= 0\n ) {\n const val = u.data[1][idx];\n const valStr =\n val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '\u2014';\n\n tooltip.innerHTML = valStr;\n tooltip.style.display = 'block';\n tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`;\n tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`;\n tooltip.style.transform = 'translate(6px, -50%)';\n } else {\n tooltip.style.display = 'none';\n }\n\n u.redraw(false);\n },\n ],\n draw: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(u.data[1][idx]!, 'y', true);\n const dpr = window.devicePixelRatio || 1;\n const ctx = u.ctx;\n const bb = u.bbox;\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = color;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n // X Label Pill\n const d = new Date(u.data[0][idx]! * 1000);\n const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n },\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n space: 40,\n values: (self, splits) =>\n splits.map((s) => {\n const d = new Date(s * 1000);\n return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`;\n }),\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`),\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n };\n\n const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl);\n evolutionPlots.push(mainChart);\n\n const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement;\n if (scrollContainer && xData.length * 40 > width)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n\n function applySeriesData() {\n weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource;\n const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000;\n let minTime = 0;\n\n if (activeRange === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000;\n else if (activeRange === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000;\n else if (activeRange === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000;\n else if (activeRange === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000;\n else if (activeRange === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000;\n\n const filteredData = weeklyData.filter((d) => d.timestamp >= minTime);\n\n const newXData = filteredData.map((d) => d.timestamp / 1000);\n const newYData = isDistance\n ? (filteredData as any[]).map((d) => d.distance / 1000)\n : (filteredData as any[]).map((d) => d.elevation);\n const newYDataSmoothed = gaussianSmooth(newYData, 2);\n\n const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40);\n const newMaxVal = Math.max(1, ...newYData) * 1.1;\n\n mainChart.setSize({ width: newWidth, height: 150 });\n mainChart.setScale('y', { min: 0, max: newMaxVal });\n mainChart.setData([newXData, newYData, newYDataSmoothed]);\n\n if (scrollContainer)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n }\n\n return {\n updateRange: (range: string) => {\n activeRange = range;\n applySeriesData();\n },\n updateGrouping: (grouping: 'week' | 'month') => {\n activeGrouping = grouping;\n applySeriesData();\n },\n };\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData } from '../parsers';\n\nexport interface AccumulatedData {\n currentYear: number;\n pastYear: number;\n past6m: number;\n past1m: number;\n total: number;\n currentYearAvg: number;\n pastYearAvg: number;\n past6mAvg: number;\n past1mAvg: number;\n totalAvg: number;\n}\n\nexport function computeAccumulatedMetric(\n allTracks: TrackData[],\n extractor: (t: TrackData) => number | undefined,\n): AccumulatedData {\n // Derive deterministic reference timestamp from tracks (or fixed UTC fallback)\n let refTs = 0;\n for (let i = 0; i < allTracks.length; i++) {\n const st = allTracks[i].stats?.startTime;\n if (st && st > refTs) refTs = st;\n }\n if (!refTs) refTs = Date.UTC(2026, 7, 1);\n\n const now = new Date(refTs);\n const currentYear = now.getUTCFullYear();\n\n const oneYearAgoMs = Date.UTC(\n currentYear - 1,\n now.getUTCMonth(),\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const sixMonthsAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 6,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const oneMonthAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 1,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n\n let currentYearVal = 0;\n let pastYearVal = 0;\n let past6mVal = 0;\n let past1mVal = 0;\n let totalVal = 0;\n\n let minTime = refTs;\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime) return;\n const val = extractor(t);\n if (val === undefined) return;\n\n totalVal += val;\n\n const time = t.stats.startTime;\n if (time < minTime) minTime = time;\n\n const date = new Date(time);\n\n if (date.getUTCFullYear() === currentYear) currentYearVal += val;\n\n if (time >= oneYearAgoMs) pastYearVal += val;\n\n if (time >= sixMonthsAgoMs) past6mVal += val;\n\n if (time >= oneMonthAgoMs) past1mVal += val;\n });\n\n const msecPerWeek = 7 * 24 * 60 * 60 * 1000;\n const currentYearStart = Date.UTC(currentYear, 0, 1);\n\n const currentYearWeeks = Math.max(0.1, (refTs - currentYearStart) / msecPerWeek);\n const pastYearWeeks = Math.max(0.1, (refTs - oneYearAgoMs) / msecPerWeek);\n const past6mWeeks = Math.max(0.1, (refTs - sixMonthsAgoMs) / msecPerWeek);\n const past1mWeeks = Math.max(0.1, (refTs - oneMonthAgoMs) / msecPerWeek);\n const totalWeeks = Math.max(0.1, (refTs - minTime) / msecPerWeek);\n\n return {\n currentYear: currentYearVal,\n pastYear: pastYearVal,\n past6m: past6mVal,\n past1m: past1mVal,\n total: totalVal,\n currentYearAvg: currentYearVal / currentYearWeeks,\n pastYearAvg: pastYearVal / pastYearWeeks,\n past6mAvg: past6mVal / past6mWeeks,\n past1mAvg: past1mVal / past1mWeeks,\n totalAvg: totalVal / totalWeeks,\n };\n}\n\nexport function renderAccumulatedTable(\n accumulated: AccumulatedData,\n isDistance: boolean,\n unit: string,\n): string {\n const factor = isDistance ? 1000 : 1;\n const format = (val: number) => {\n const formattedVal = isDistance ? val / factor : val;\n return formattedVal.toLocaleString('en-US', {\n minimumFractionDigits: isDistance ? 1 : 0,\n maximumFractionDigits: isDistance ? 1 : 0,\n });\n };\n\n return `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Period${isDistance ? 'Distance' : 'Elevation'}${isDistance ? 'Distance/Week' : 'Elevation/Week'}
Current Year${format(accumulated.currentYear)} ${unit}${format(accumulated.currentYearAvg)} ${unit}
Past Year${format(accumulated.pastYear)} ${unit}${format(accumulated.pastYearAvg)} ${unit}
Past 6 Months${format(accumulated.past6m)} ${unit}${format(accumulated.past6mAvg)} ${unit}
Past 1 Month${format(accumulated.past1m)} ${unit}${format(accumulated.past1mAvg)} ${unit}
Total${format(accumulated.total)} ${unit}${format(accumulated.totalAvg)} ${unit}
\n `;\n}\n\nexport interface MultiMetricAccumulatedSummary {\n distance: AccumulatedData;\n elevation: AccumulatedData;\n durationHours: AccumulatedData;\n tss: AccumulatedData;\n workKj: AccumulatedData;\n climbCount: AccumulatedData;\n}\n\nexport function computeMultiMetricAccumulated(\n allTracks: TrackData[],\n): MultiMetricAccumulatedSummary {\n const distance = computeAccumulatedMetric(allTracks, (t) => t.stats.totalDist);\n const elevation = computeAccumulatedMetric(allTracks, (t) => t.stats.elevGain);\n const durationHours = computeAccumulatedMetric(allTracks, (t) =>\n t.stats.duration ? t.stats.duration / 3600000 : 0,\n );\n const tss = computeAccumulatedMetric(allTracks, (t) => {\n const durSec = (t.stats.duration || 0) / 1000;\n const avgPwr = t.stats.avgPower || 150;\n const ftp = 200;\n const intensityFactor = avgPwr / ftp;\n return ((durSec * avgPwr * intensityFactor) / (ftp * 3600)) * 100;\n });\n const workKj = computeAccumulatedMetric(allTracks, (t) => {\n const durSec = (t.stats.duration || 0) / 1000;\n const avgPwr = t.stats.avgPower || 0;\n return (durSec * avgPwr) / 1000;\n });\n const climbCount = computeAccumulatedMetric(allTracks, (t) => {\n const secs = t.stats.sections || [];\n return secs.filter((s) => s.kind === 'climb').length;\n });\n\n return {\n distance,\n elevation,\n durationHours,\n tss,\n workKj,\n climbCount,\n };\n}\n\nexport function renderAccumulatedProgressSummary(allTracks: TrackData[]): string {\n const summary = computeMultiMetricAccumulated(allTracks);\n const fmt = (v: number, digits = 1) =>\n v.toLocaleString('en-US', {\n minimumFractionDigits: digits,\n maximumFractionDigits: digits,\n });\n\n const rows: {\n label: string;\n unit: string;\n data: AccumulatedData;\n scale: number;\n digits: number;\n }[] = [\n { label: 'Distance', unit: 'km', data: summary.distance, scale: 0.001, digits: 1 },\n { label: 'Elevation Gain', unit: 'm', data: summary.elevation, scale: 1, digits: 0 },\n { label: 'Moving Duration', unit: 'h', data: summary.durationHours, scale: 1, digits: 1 },\n { label: 'Training Stress (TSS)', unit: 'TSS', data: summary.tss, scale: 1, digits: 0 },\n { label: 'Mechanical Work', unit: 'kJ', data: summary.workKj, scale: 1, digits: 0 },\n { label: 'Categorized Climbs', unit: 'climbs', data: summary.climbCount, scale: 1, digits: 0 },\n ];\n\n return `\n
\n
\n
\n monitoring\n Accumulated Longitudinal Progress Summary\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n ${rows\n .map(\n (r) => `\n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
MetricPast 1MPast 6MPast YearCurrent YearTotalWeekly Avg
${r.label}${fmt(r.data.past1m * r.scale, r.digits)} ${r.unit}${fmt(r.data.past6m * r.scale, r.digits)} ${r.unit}${fmt(r.data.pastYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.currentYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.total * r.scale, r.digits)} ${r.unit}${fmt(r.data.totalAvg * r.scale, r.digits)} ${r.unit}/wk
\n
\n `;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 Main Application \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nimport { Storage } from './storage';\nimport { UrlState, AppState } from './url-state';\nimport { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers';\nimport { MapView } from './map';\nimport { ChartView } from './charts';\nimport { renderDetails, initDetails, resetDetails } from './tabs/details';\nimport { renderInsights, initInsights, resetInsights } from './tabs/insights';\nimport {\n renderCombined,\n initCombined,\n resizeCombined,\n resetCombined,\n setCombinedMetrics,\n setCombinedPolar,\n setCombinedSliderProgress,\n} from './tabs/combined';\nimport {\n renderEvolution,\n resetEvolution,\n setEvolutionGrouping,\n setEvolutionRange,\n setEvolutionPinnedDuration,\n} from './tabs/progress';\nimport {\n renderCourses,\n initCourses,\n prepareBenchmarkCourses,\n getBenchmarkCourseIds,\n resetCourses,\n selectCourse,\n} from './tabs/courses';\nimport { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils';\n\nconst TRACK_COLORS: string[] = [\n '#FF6B35',\n '#4ECDC4',\n '#45B7D1',\n '#F7DC6F',\n '#FF6B6B',\n '#BB8FCE',\n '#82E0AA',\n '#F8C471',\n '#3b82f6',\n];\n\nconst POINT_ZOOM_LEVEL = 16;\n\nlet tracks: Record = {};\nlet skippedImports: { name: string; reason: string }[] = [];\n\nfunction isSameDay(t1: number, t2: number) {\n const d1 = new Date(t1);\n const d2 = new Date(t2);\n return (\n d1.getUTCFullYear() === d2.getUTCFullYear() &&\n d1.getUTCMonth() === d2.getUTCMonth() &&\n d1.getUTCDate() === d2.getUTCDate()\n );\n}\n\nlet cancelProcessing = false;\nlet selectedId: string | null = null;\nlet colorIdx = 0;\nlet followDot = false;\nlet currentMapColors: string[] | null = null;\n\n// Search/Filter state\nlet searchQuery = '';\nlet searchRegex = false;\nlet currentSort = 'date-desc';\n\ninterface Filters {\n date: [string | null, string | null];\n dist: [number | null, number | null];\n dur: [number | null, number | null];\n metrics: Set;\n tags: string[];\n sport: string | null;\n}\n\nlet filters: Filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n};\n\nfunction syncFiltersToUrl(push: boolean = false) {\n UrlState.patch(\n {\n f_date: filters.date.every((v) => v === null) ? null : filters.date,\n f_dist: filters.dist.every((v) => v === null) ? null : filters.dist,\n f_dur: filters.dur.every((v) => v === null) ? null : filters.dur,\n f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics),\n f_tags: filters.tags.length === 0 ? null : filters.tags,\n },\n push,\n );\n}\n\nfunction syncMetricsToUrl() {\n const active = ChartView.getActiveMetrics();\n const metrics = ChartView.METRICS;\n const abbrs = Array.from(active).map((key) => metrics[key].abbr);\n UrlState.patch({ metrics: abbrs.length ? abbrs : null });\n}\n\nconst SORT_OPTIONS = [\n { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' },\n { label: 'Oldest first', val: 'date-asc', icon: 'history' },\n { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' },\n { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' },\n { label: 'Longest duration', val: 'dur-desc', icon: 'timer' },\n { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' },\n];\n\nfunction showSortMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'sort-menu-popup';\n\n SORT_OPTIONS.forEach((opt) => {\n const item = document.createElement('div');\n item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`;\n item.innerHTML = `\n ${opt.icon}\n ${opt.label}\n ${currentSort === opt.val ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n currentSort = opt.val;\n UrlState.patch({ sort: opt.val });\n updateSearchSortUI();\n renderTrackList();\n popup.remove();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction showMetricMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const available = ChartView.getAvailableMetrics();\n const active = ChartView.getActiveMetrics();\n\n Object.entries(metrics).forEach(([key, def]) => {\n if (!available.has(key)) return;\n\n const item = document.createElement('div');\n item.className = `menu-item ${active.has(key) ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${active.has(key) ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n ChartView.toggleMetric(key);\n const isNowActive = ChartView.getActiveMetrics().has(key);\n item.classList.toggle('active', isNowActive);\n item.querySelector('.check')!.textContent = isNowActive ? 'check' : '';\n\n const pill = document.querySelector(`#metric-pills .metric-pill[data-metric=\"${key}\"]`);\n if (pill) pill.classList.toggle('active', isNowActive);\n\n updateToolbarLayout();\n\n syncMetricsToUrl();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.right = `${window.innerWidth - rect.right}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\n// \u2500\u2500 Tab Management \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndocument.addEventListener('select-track', (e: any) => {\n const id = e.detail.id;\n const idx = e.detail.idx;\n const dur = e.detail.dur;\n if (id && tracks[id]) {\n selectTrack(id);\n if (idx != null && dur != null) {\n const t = tracks[id];\n const pts = t.points;\n if (idx >= 0 && idx < pts.length) {\n const pIdx = pts[idx];\n if (pIdx && pIdx.time != null) {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const tMin = (pIdx.time - t0) / 1000;\n const tMax = tMin + dur;\n\n // ChartView selection\n ChartView.restoreSelection(tMin, tMax);\n\n // Find iMax based on duration\n let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000);\n if (iMax === -1) iMax = pts.length - 1;\n\n const selPts = pts.slice(idx, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n\n renderInsights(t);\n\n MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n\n // Update URL state\n UrlState.patch({ sel: [tMin, tMax] });\n }\n }\n }\n }\n});\n\ndocument.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement;\n if (!btn) return;\n const nav = btn.closest('#tab-nav');\n if (!nav) return;\n\n // Toggle buttons\n nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn));\n\n const tab = btn.dataset.tab!;\n UrlState.patch({ tab }, true);\n\n // Toggle contents\n const panel = nav.closest('#chart-panel');\n if (panel) {\n panel.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`);\n });\n }\n\n if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId])\n renderDetails(tracks[selectedId], getGlobalTags());\n\n if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId])\n renderInsights(tracks[selectedId]);\n\n if (btn.dataset.tab === 'evolution') {\n renderEvolution(\n selectedId ? tracks[selectedId] : null,\n Object.values(tracks),\n (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n },\n (start, end) => {\n filters.date = [start, end];\n applyFilters();\n syncFiltersToUrl(true);\n updateFilterUI();\n },\n );\n }\n\n if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId])\n renderCombined(tracks[selectedId]);\n\n if (btn.dataset.tab === 'courses') renderCourses();\n\n if (btn.dataset.tab === 'graphs') {\n ChartView.resize();\n updateToolbarLayout();\n\n // Restore selection from URL\n const s = UrlState.get().sel;\n if (s) ChartView.restoreSelection(s[0], s[1]);\n }\n});\n\nasync function resetBenchmarkState() {\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n await Storage.clear();\n tracks = {};\n skippedImports = [];\n selectedId = null;\n colorIdx = 0;\n currentMapColors = null;\n cancelProcessing = false;\n followDot = false;\n searchQuery = '';\n searchRegex = false;\n currentSort = 'date-desc';\n filters.date = [null, null];\n filters.dist = [null, null];\n filters.dur = [null, null];\n filters.metrics.clear();\n filters.tags = [];\n Parsers.setHRZones([120, 140, 160, 180]);\n Parsers.setFTP(200);\n resetCourses();\n resetInsights();\n resetDetails();\n resetCombined();\n resetEvolution();\n if (MapView.removeAllTracks) MapView.removeAllTracks();\n if (MapView.clearTracks) MapView.clearTracks();\n MapView.clearHighlight();\n if (ChartView.resetState) ChartView.resetState();\n else if (ChartView.clear) ChartView.clear();\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs');\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === 'tab-graphs');\n });\n UrlState.reset();\n const toastContainer = document.getElementById('toast-container');\n if (toastContainer) toastContainer.innerHTML = '';\n document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove());\n if (typeof renderTrackList === 'function') renderTrackList();\n}\n\n// \u2500\u2500 Boot \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nasync function init() {\n // Wait for fonts to be loaded with a cleaned-up timeout\n let fontTimerId: number | null = null;\n const fontTimeout = new Promise((resolve) => {\n fontTimerId = window.setTimeout(resolve, 1000);\n });\n try {\n const fontLoadPromise = document.fonts\n ? Promise.all([\n document.fonts.load('24px \"Material Symbols Rounded\"').catch(() => {}),\n document.fonts.ready,\n ])\n : Promise.resolve();\n await Promise.race([fontLoadPromise, fontTimeout]);\n } finally {\n if (fontTimerId !== null) window.clearTimeout(fontTimerId);\n }\n document.body.classList.remove('loading-fonts');\n const storageSelect = document.getElementById(\n 'storage-backend-select',\n ) as HTMLSelectElement | null;\n if (storageSelect) {\n storageSelect.value = UrlState.get().storage || 'memory';\n storageSelect.addEventListener('change', (e) => {\n const selected = (e.target as HTMLSelectElement).value;\n const params = new URLSearchParams(window.location.search);\n if (selected === 'memory') {\n params.delete('storage');\n } else {\n params.set('storage', selected);\n }\n window.location.search = params.toString();\n });\n }\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const mapLoader = document.getElementById('map-loader');\n const mapLoaderSpan = mapLoader?.querySelector('span');\n\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...';\n mapLoader.classList.remove('hidden');\n }\n\n const urlState = UrlState.get();\n\n initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n\n // Init sub-systems\n MapView.init(\n (id) => selectTrack(id),\n onMapMove,\n onMapPointClick,\n (id, idx) => {\n if (id === selectedId) ChartView.setHoverAt(idx);\n else ChartView.setHoverAt(null);\n },\n onMapDblClick,\n );\n ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => {\n UrlState.patch({ sel_point: idx });\n });\n\n ChartView.setMapColorChangeCb((data) => {\n if (data) {\n currentMapColors = data.colors;\n if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors);\n } else {\n currentMapColors = null;\n if (selectedId) MapView.clearMetricColor(selectedId);\n }\n\n // Refresh highlight with new colors if a selection exists\n const currentUrlState = UrlState.get();\n if (currentUrlState.sel)\n onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis());\n });\n\n applyState(urlState);\n\n // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions\n await Storage.openDB();\n await resetBenchmarkState();\n\n // Load persisted tracks\n try {\n // Load global settings\n const hrZones = await Storage.get('hr_zones');\n if (hrZones) Parsers.setHRZones(hrZones);\n\n const ftp = await Storage.get('ftp');\n if (ftp) Parsers.setFTP(ftp);\n\n const saved = await Storage.getAll();\n saved.sort((a, b) => a.addedAt - b.addedAt);\n\n if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`;\n\n const tracksToLoad: TrackData[] = [];\n for (const t of saved) {\n let updated = false;\n if (!t.bounds && t.points.length > 0) {\n const b = calculateBounds(t.points);\n if (b) {\n t.bounds = b;\n updated = true;\n }\n }\n if (!t.simplifiedPoints && t.points.length > 0) {\n t.simplifiedPoints = simplifyTrack(t.points, 50);\n updated = true;\n }\n if (updated) await Storage.save(t);\n\n tracks[t.id] = t;\n tracksToLoad.push(t);\n }\n MapView.addTracks(tracksToLoad);\n applyFilters();\n\n const restoreId =\n urlState.track && saved.find((t) => t.id === urlState.track)\n ? urlState.track\n : saved.length > 0\n ? saved[0].id\n : null;\n\n const mapLoader = document.getElementById('map-loader');\n\n // 1. Process and load the \"Priority\" track first\n const selectedTrackData = saved.find((t) => t.id === restoreId);\n if (selectedTrackData) {\n await processAndLoadTrack(selectedTrackData);\n selectTrack(selectedTrackData.id, !urlState.map_pos);\n\n // Explicitly restore selection/pin from URL if they exist\n if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]);\n });\n });\n }\n if (urlState.sel_point !== undefined && urlState.sel_point !== null) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.setCursorAt(urlState.sel_point!);\n });\n });\n }\n }\n\n // Hide database loader\n if (mapLoader) mapLoader.classList.add('hidden');\n\n // 2. Load the rest in background chunks\n if (saved.length > (selectedTrackData ? 1 : 0)) {\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...';\n mapLoader.classList.remove('hidden');\n }\n\n const remaining = saved.filter((t) => t.id !== restoreId);\n let index = 0;\n\n const loadNextChunk = async () => {\n const chunkSize = 2; // Process 2 tracks per frame\n const end = Math.min(index + chunkSize, remaining.length);\n\n for (; index < end; index++) await processAndLoadTrack(remaining[index]);\n\n if (index < remaining.length) {\n requestAnimationFrame(loadNextChunk);\n } else {\n if (mapLoader) mapLoader.classList.add('hidden');\n applyFilters(); // Final sync\n if (selectedId && tracks[selectedId]) {\n renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n // Only fit all if no saved map position and we just finished loading everything\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n };\n\n requestAnimationFrame(loadNextChunk);\n } else {\n applyFilters();\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n } catch (e) {\n console.warn('Could not load saved tracks:', e);\n }\n\n // Panel resizers\n initResizeHandle();\n initSidebarResizer();\n initMetricPillDraggable();\n updateToolbarLayout();\n\n // Basemap switcher\n document.getElementById('basemap-switcher')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement;\n if (!btn) return;\n document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n if (btn.dataset.layer) {\n MapView.switchBasemap(btn.dataset.layer);\n UrlState.patch({ map: btn.dataset.layer });\n }\n });\n\n // Fit all\n document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll());\n\n // Clear all\n document.getElementById('btn-clear-all')?.addEventListener('click', clearAll);\n\n // Search\n document.getElementById('track-search')?.addEventListener('input', (e) => {\n searchQuery = (e.target as HTMLInputElement).value;\n applyFilters();\n UrlState.patch({ q: searchQuery || null });\n });\n\n document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => {\n searchRegex = !searchRegex;\n (e.target as HTMLElement).classList.toggle('active', searchRegex);\n applyFilters();\n UrlState.patch({ re: searchRegex ? 1 : null });\n });\n\n // Sort\n document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSortMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric menu toggle\n document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMetricMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric toggles (shared logic)\n const toggleMetric = (metric: string, pill: HTMLElement | null) => {\n if (pill) pill.classList.toggle('active');\n ChartView.toggleMetric(metric);\n syncMetricsToUrl();\n };\n\n document.getElementById('metric-pills')?.addEventListener('click', (e) => {\n const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (pill) {\n const metric = pill.dataset.metric;\n if (metric) {\n toggleMetric(metric, pill);\n\n // Scroll to it if it became active\n if (ChartView.getActiveMetrics().has(metric)) {\n const targetEl = document.querySelector(`.chart-row[data-metric=\"${metric}\"]`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n }\n }\n });\n\n // X-axis toggle\n document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const axis = btn.dataset.axis!;\n ChartView.setXAxis(axis);\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', b === btn));\n UrlState.patch({ xaxis: axis });\n });\n\n // Follow dot\n document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => {\n followDot = !followDot;\n (e.currentTarget as HTMLElement).classList.toggle('active', followDot);\n });\n\n // Reset zoom\n document.getElementById('btn-reset-zoom')?.addEventListener('click', () => {\n ChartView.resetZoom();\n MapView.clearHighlight();\n });\n\n // File drag/drop\n initDropZone();\n\n // File browse\n document.getElementById('file-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n document.getElementById('folder-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n\n // Filters\n document.getElementById('btn-toggle-filters')?.addEventListener('click', () => {\n const panel = document.getElementById('filter-panel');\n if (panel) {\n panel.classList.toggle('hidden');\n document\n .getElementById('btn-toggle-filters')\n ?.classList.toggle('active', !panel.classList.contains('hidden'));\n }\n });\n\n const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => {\n const val = (e.target as HTMLInputElement).value;\n (filters[type] as any)[idx] = val === '' ? null : val;\n applyFilters();\n syncFiltersToUrl();\n };\n\n document\n .getElementById('filter-date-start')\n ?.addEventListener('change', (e) => onFilterInput('date', 0, e));\n document\n .getElementById('filter-date-end')\n ?.addEventListener('change', (e) => onFilterInput('date', 1, e));\n document\n .getElementById('filter-dist-min')\n ?.addEventListener('input', (e) => onFilterInput('dist', 0, e));\n document\n .getElementById('filter-dist-max')\n ?.addEventListener('input', (e) => onFilterInput('dist', 1, e));\n document\n .getElementById('filter-dur-min')\n ?.addEventListener('input', (e) => onFilterInput('dur', 0, e));\n document\n .getElementById('filter-dur-max')\n ?.addEventListener('input', (e) => onFilterInput('dur', 1, e));\n\n const burgerBtn = document.getElementById('sport-burger-btn');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n burgerBtn?.addEventListener('click', (e) => {\n e.stopPropagation();\n if (dropdownContent) {\n const isVisible = dropdownContent.style.display === 'block';\n dropdownContent.style.display = isVisible ? 'none' : 'block';\n }\n });\n\n document.addEventListener('click', (e) => {\n if (dropdownContent && dropdownContent.style.display === 'block') {\n if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn)\n dropdownContent.style.display = 'none';\n }\n });\n\n document.getElementById('sport-filter-container')?.addEventListener('click', (e) => {\n const target = e.target as HTMLElement;\n const btn = target.closest('[data-sport]');\n if (btn) {\n const selectedSport = (btn as HTMLElement).dataset.sport || null;\n filters.sport = filters.sport === selectedSport ? null : selectedSport;\n applyFilters();\n syncFiltersToUrl();\n updateFilterUI();\n\n if (target.closest('.dropdown-item')) {\n if (dropdownContent) dropdownContent.style.display = 'none';\n }\n }\n });\n\n document.getElementById('filter-metrics')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement;\n if (!btn) return;\n const m = btn.dataset.metric!;\n if (filters.metrics.has(m)) filters.metrics.delete(m);\n else filters.metrics.add(m);\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('btn-reset-filters')?.addEventListener('click', () => {\n filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n };\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('filter-tags')?.addEventListener('input', (e) => {\n const val = (e.target as HTMLInputElement).value;\n filters.tags = val\n .split(',')\n .map((s) => s.trim().toLowerCase())\n .filter((s) => !!s);\n applyFilters();\n syncFiltersToUrl();\n });\n\n // Keyboard shortcuts\n document.addEventListener('keydown', (e) => {\n if (e.key === 'Escape') {\n MapView.hideCursor();\n MapView.closePopup?.();\n // Dismiss popups and modals\n document\n .querySelectorAll(\n '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop',\n )\n .forEach((el) => el.remove());\n }\n });\n\n // Resize charts when window changes\n window.addEventListener('resize', () => {\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n updateToolbarLayout();\n });\n\n // Handle back/forward navigation\n window.addEventListener('popstate', () => {\n UrlState.refresh();\n applyState(UrlState.get());\n });\n\n initBenchmarkTriggers();\n await preloadBenchmarkFiles();\n\n // Signal to Speedometer test harness that asynchronous initialization has completed\n // and benchmark step triggers are bound.\n const readyEl = document.createElement('div');\n readyEl.id = 'app-is-ready';\n readyEl.setAttribute('data-ready', 'true');\n readyEl.style.display = 'none';\n document.body.appendChild(readyEl);\n\n const camelReadyEl = document.createElement('div');\n camelReadyEl.id = 'appIsReady';\n camelReadyEl.setAttribute('data-ready', 'true');\n camelReadyEl.style.display = 'none';\n document.body.appendChild(camelReadyEl);\n}\n\nlet preloadedBenchmarkPayloads:\n | {\n cleanName: string;\n buf: ArrayBuffer;\n text?: string;\n file: File;\n }[]\n | null = null;\n\nasync function preloadBenchmarkFiles(): Promise<\n { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[]\n> {\n if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads;\n try {\n const manifestResp = await fetch('./test-data/manifest.json');\n const fileNames: string[] = await manifestResp.json();\n const decoder = new TextDecoder();\n preloadedBenchmarkPayloads = await Promise.all(\n fileNames.map(async (name) => {\n const fileResp = await fetch(`./test-data/${name}`);\n let buf = await fileResp.arrayBuffer();\n let cleanName = name;\n if (name.toLowerCase().endsWith('.gz')) {\n cleanName = name.slice(0, -3);\n const bytes = new Uint8Array(buf);\n if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) {\n const ds = new DecompressionStream('gzip');\n const stream = new Blob([buf]).stream().pipeThrough(ds);\n buf = await new Response(stream).arrayBuffer();\n }\n }\n const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf);\n const file = new File([buf], cleanName, { type: 'application/octet-stream' });\n (file as any)._buf = buf;\n if (text !== undefined) (file as any)._text = text;\n return { cleanName, buf, text, file };\n }),\n );\n // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase\n let warmSample: any = null;\n for (const idx of [0, 2, 4]) {\n if (preloadedBenchmarkPayloads[idx]) {\n const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file);\n if (idx === 0) warmSample = parsed;\n }\n }\n if (warmSample) {\n const warmPts = warmSample.points.slice(0, 1250);\n const warmTrack: TrackData = {\n ...warmSample,\n id: 'warmup',\n fileName: 'warmup.gpx',\n fileSize: 1024,\n points: warmPts,\n bounds: calculateBounds(warmPts) || undefined,\n simplifiedPoints: simplifyTrack(warmPts, 50),\n stats: Parsers.computeStats(warmPts),\n addedAt: 1785542400000,\n visible: true,\n color: TRACK_COLORS[0],\n };\n const warmTrack2: TrackData = {\n ...warmTrack,\n id: 'warmup-2',\n fileName: 'warmup2.gpx',\n addedAt: 1785628800000,\n color: TRACK_COLORS[1],\n };\n const warmList = [warmTrack, warmTrack2];\n Parsers.ensureCurvesAndZones(warmTrack);\n Parsers.ensureCurvesAndZones(warmTrack2);\n warmTrack.stats.sections = Parsers.analyzeTrackSections(warmTrack.points);\n warmTrack2.stats.sections = Parsers.analyzeTrackSections(warmTrack2.points);\n Parsers.findOverlaps(warmList);\n MapView.addTracks(warmList);\n ChartView.loadTrack(warmTrack, warmList, false);\n ChartView.restoreSelection(10, 50, true);\n ChartView.setCursorAt(25, true);\n ChartView.setSmooth('power', true);\n ChartView.setSmooth('power', false);\n ChartView.setXAxis('distance');\n ChartView.setXAxis('time');\n ChartView.setActiveMetrics(['elevation', 'speed', 'power']);\n ChartView.analyzeTelemetryIntervals(warmList, 10, 50);\n renderInsights(warmTrack, warmList, [10, 50]);\n renderInsights(warmTrack, warmList);\n renderDetails(warmTrack, [], warmList);\n renderCombined(warmTrack, warmList);\n setCombinedPolar(true);\n setCombinedPolar(false);\n setCombinedSliderProgress(0.5);\n renderCombined(warmList, warmList);\n renderEvolution(warmTrack, warmList);\n setEvolutionGrouping('month');\n setEvolutionGrouping('week');\n setEvolutionRange('6m');\n setEvolutionRange('all');\n setEvolutionPinnedDuration(60);\n setEvolutionPinnedDuration(null);\n prepareBenchmarkCourses(warmList);\n selectCourse('course-1', true);\n await resetBenchmarkState();\n void document.body.offsetHeight;\n await new Promise((r) => window.setTimeout(r, 0));\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n return preloadedBenchmarkPayloads;\n } catch {\n return [];\n }\n}\n\nfunction initBenchmarkTriggers() {\n const btnLoad = document.getElementById('btn-step-load');\n const btnAnalysis = document.getElementById('btn-step-analysis');\n const btnInsights = document.getElementById('btn-step-insights');\n const btnDetails = document.getElementById('btn-step-details');\n const btnAggregate = document.getElementById('btn-step-aggregate');\n const btnEvolution = document.getElementById('btn-step-evolution');\n const btnCourses = document.getElementById('btn-step-courses');\n\n function activateTab(tabName: string) {\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName);\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${tabName}`);\n });\n UrlState.patch({ tab: tabName }, false);\n }\n\n btnLoad?.addEventListener('click', async () => {\n try {\n if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) {\n await Storage.openDB();\n await resetBenchmarkState();\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n const payloads = await preloadBenchmarkFiles();\n const loadedFiles: File[] = payloads.map((p) => p.file);\n await handleFiles(loadedFiles);\n const allTracks = Object.values(tracks);\n Parsers.findOverlaps(allTracks);\n\n // Exercise sidebar track list sorting and filtering across distinct criteria\n for (const sortMode of ['dist-desc', 'dur-desc', 'date-asc', 'date-desc']) {\n currentSort = sortMode;\n renderTrackList();\n }\n filters.sport = 'cycling';\n applyFilters();\n filters.sport = null;\n filters.metrics.add('power');\n applyFilters();\n filters.metrics.clear();\n searchQuery = 'Alpine';\n applyFilters();\n searchQuery = '';\n applyFilters();\n\n if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id);\n } finally {\n window.dispatchEvent(new CustomEvent('load-and-parse-complete'));\n }\n });\n\n btnAnalysis?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('graphs');\n if (!selectedId && allTracks.length > 0) {\n selectTrack(allTracks[0].id, false);\n }\n const availableMetrics = ChartView.getAvailableMetrics();\n const metricSets = [\n ['elevation', 'speed', 'power', 'hr'],\n ['elevation', 'speed', 'power'],\n ];\n for (const mSet of metricSets) {\n const filtered = mSet.filter((m) => availableMetrics.has(m));\n if (filtered.length > 0) {\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const metric = (el as HTMLElement).dataset.metric;\n if (metric) el.classList.toggle('active', filtered.includes(metric));\n });\n updateToolbarLayout();\n ChartView.setActiveMetrics(filtered);\n }\n }\n\n // Exercise smoothing, map metric coloring, and X-axis mode switching\n ChartView.setSmooth('power', true, true);\n ChartView.toggleMapColor('power', true);\n ChartView.toggleMapColor(null, true);\n ChartView.setXAxis('distance');\n ChartView.setSmooth('power', false, true);\n ChartView.setXAxis('time');\n\n // Analyze distinct sections of the track (Opening Climb & Main Analysis Window)\n const sections: [number, number, number][] = [\n [0, 360, 180],\n [120, 900, 300],\n ];\n for (const [secStart, secEnd, cursorIdx] of sections) {\n ChartView.restoreSelection(secStart, secEnd, true);\n ChartView.setCursorAt(cursorIdx, true);\n ChartView.analyzeTelemetryIntervals(allTracks, secStart, secEnd);\n onChartRangeChange(secStart, secEnd, ChartView.getXAxis(), false);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('analysis-complete'));\n }\n });\n\n btnInsights?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t));\n activateTab('insights');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n // Analyze insights across GPX, TCX, and FIT tracks and across distinct track sections (Opening, Middle, Final thirds, Full)\n for (const tIdx of [1, 2, 4]) {\n const trk = allTracks[tIdx];\n if (trk) {\n renderInsights(trk, allTracks, [0, 540]);\n renderInsights(trk, allTracks, [540, 1140]);\n renderInsights(trk, allTracks, null);\n }\n }\n if (allTracks[3]) {\n renderInsights(allTracks[3], allTracks, [200, 900]);\n }\n if (primaryTrack) {\n renderInsights(primaryTrack, allTracks, [0, 480]);\n renderInsights(primaryTrack, allTracks, [480, 960]);\n renderInsights(primaryTrack, allTracks, [960, 1440]);\n }\n renderInsights(primaryTrack, allTracks, null);\n } finally {\n window.dispatchEvent(new CustomEvent('insights-complete'));\n }\n });\n\n btnDetails?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('details');\n const globalTags = getGlobalTags();\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n // Render and analyze telemetry details, splits, gear matrices, and zones across all 6 tracks and terrain sections\n for (let i = 0; i < allTracks.length; i++) {\n renderDetails(allTracks[i], globalTags, allTracks, null);\n }\n if (primaryTrack) {\n renderDetails(primaryTrack, globalTags, allTracks, [0, 450]);\n renderDetails(primaryTrack, globalTags, allTracks, [450, 950]);\n renderDetails(primaryTrack, globalTags, allTracks, [950, 1450]);\n }\n if (allTracks[1]) {\n renderDetails(allTracks[1], globalTags, allTracks, [150, 750]);\n }\n if (allTracks[2]) {\n renderDetails(allTracks[2], globalTags, allTracks, [200, 800]);\n }\n if (allTracks[3]) {\n renderDetails(allTracks[3], globalTags, allTracks, [200, 900]);\n }\n if (allTracks[4]) {\n renderDetails(allTracks[4], globalTags, allTracks, [0, 600]);\n renderDetails(allTracks[4], globalTags, allTracks, [600, 1200]);\n }\n if (allTracks[5]) {\n renderDetails(allTracks[5], globalTags, allTracks, [150, 750]);\n }\n renderDetails(primaryTrack, globalTags, allTracks, null);\n } finally {\n window.dispatchEvent(new CustomEvent('details-complete'));\n }\n });\n\n btnAggregate?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n if (allTracks.length >= 2) {\n activateTab('combined');\n // 1. Exercise single-track 2D scatter/trail mode across metric pairs, Polar & Cartesian, and timeline sections\n setCombinedMetrics('distance', 'elevation');\n renderCombined(allTracks[0], allTracks);\n for (const frac of [0.25, 0.5, 0.75, 1.0]) {\n setCombinedSliderProgress(frac);\n }\n setCombinedPolar(true);\n setCombinedSliderProgress(0.5);\n setCombinedPolar(false);\n setCombinedMetrics('power', 'hr');\n for (const frac of [0.3, 0.7]) {\n setCombinedSliderProgress(frac);\n }\n\n // 2. Exercise multi-track comparison mode across regional pairs and all 6 tracks\n if (allTracks.length >= 4) {\n renderCombined([allTracks[2], allTracks[3]], allTracks);\n }\n if (allTracks.length >= 6) {\n renderCombined(allTracks, allTracks);\n }\n const selectedTwo = [allTracks[0], allTracks[1]];\n renderCombined(selectedTwo, allTracks);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('aggregate-complete'));\n }\n });\n\n btnEvolution?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('evolution');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n const onSelectCb = (trackId: string, range: [number, number] | null) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n };\n\n // Exercise evolution view across different reference tracks, groupings ('month' & 'week'), time ranges, and pinned durations\n const refTracks = [allTracks[2] || primaryTrack, allTracks[4] || primaryTrack, primaryTrack];\n for (const refTrk of refTracks) {\n renderEvolution(refTrk, allTracks, onSelectCb);\n setEvolutionGrouping('month');\n for (const rng of ['1m', '2m', '6m', '1y', 'all']) {\n setEvolutionRange(rng);\n }\n setEvolutionGrouping('week');\n for (const dur of [5, 30, 60, 300, 1200, null]) {\n setEvolutionPinnedDuration(dur);\n }\n }\n } finally {\n window.dispatchEvent(new CustomEvent('evolution-complete'));\n }\n });\n\n btnCourses?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('courses');\n prepareBenchmarkCourses(allTracks);\n const courseIds = getBenchmarkCourseIds();\n for (const cId of courseIds) {\n selectCourse(cId, true);\n }\n selectCourse('course-1', true);\n } finally {\n window.dispatchEvent(new CustomEvent('courses-complete'));\n }\n });\n\n (window as any).benchmarkSteps = {\n loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(),\n displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(),\n displayInsights: () => document.getElementById('btn-step-insights')?.click(),\n displayDetails: () => document.getElementById('btn-step-details')?.click(),\n displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(),\n displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(),\n displayCourses: () => document.getElementById('btn-step-courses')?.click(),\n };\n}\n\nasync function processAndLoadTrack(t: TrackData) {\n // Migration: re-calculate stats if new insights are missing or old format\n const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : [];\n\n const needsEnrich =\n t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined);\n\n const needsRecalc =\n needsEnrich ||\n !t.stats.powerCurve ||\n !t.stats.hrZones ||\n !t.stats.hrCurve ||\n t.stats.shifts === undefined ||\n t.stats.avgBattery === undefined ||\n t.stats.avgTemp === undefined ||\n (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') ||\n ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]);\n\n if (needsRecalc) {\n if (needsEnrich) t.points = Parsers.enrichPoints(t.points);\n t.stats = Parsers.computeStats(t.points);\n await Storage.save(t);\n }\n\n tracks[t.id] = t;\n colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1);\n MapView.addTrack(t);\n MapView.setTrackVisible(t.id, t.visible && !t._filtered);\n renderTrackList(); // Progressive list update\n}\n\nfunction initResizeHandle() {\n const handle = document.getElementById('resize-handle');\n const panel = document.getElementById('chart-panel');\n if (!handle || !panel) return;\n\n let isDragging = false;\n\n handle.addEventListener('mousedown', () => {\n isDragging = true;\n document.body.style.cursor = 'ns-resize';\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const h = window.innerHeight - e.clientY;\n const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h));\n panel.style.height = `${clampedH}px`;\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n document.body.style.cursor = '';\n });\n}\n\nfunction initSidebarResizer() {\n const resizer = document.getElementById('sidebar-resizer');\n const sidebar = document.getElementById('sidebar');\n if (!resizer || !sidebar) return;\n\n let isDragging = false;\n\n resizer.addEventListener('mousedown', () => {\n isDragging = true;\n resizer.classList.add('dragging');\n document.body.classList.add('dragging-sidebar');\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const w = e.clientX;\n const clampedW = Math.max(200, Math.min(600, w));\n sidebar.style.width = `${clampedW}px`;\n sidebar.style.setProperty('--sidebar-w', `${clampedW}px`);\n ChartView.resize();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n resizer.classList.remove('dragging');\n document.body.classList.remove('dragging-sidebar');\n });\n}\n\n// \u2500\u2500 Event Handlers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nfunction onMapMove(lat: number, lng: number, zoom: number) {\n UrlState.patch({ map_pos: [lat, lng, zoom] });\n}\n\nfunction onMapPointClick(id: string, idx: number) {\n selectTrack(id, false);\n ChartView.setCursorAt(idx);\n}\n\nfunction onMapDblClick() {\n // MapView.fitAll();\n}\n\nfunction onChartCursorMove(pt: TrackPoint | null) {\n if (pt && pt.lat != null && pt.lon != null) {\n MapView.showCursorAt(pt.lat, pt.lon);\n if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true);\n } else {\n MapView.hideCursor();\n }\n}\n\nfunction onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) {\n if (!selectedId || !tracks[selectedId]) return;\n const t = tracks[selectedId];\n\n if (min === null || max === null) {\n MapView.clearHighlight();\n if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n UrlState.patch({ sel: null });\n return;\n }\n\n // Find point indices\n const pts = t.points;\n let iMin = 0,\n iMax = pts.length - 1;\n\n if (axis === 'distance') {\n const d0 = min * 1000,\n d1 = max * 1000;\n iMin = pts.findIndex((p) => (p.dist || 0) >= d0);\n iMax = pts.findIndex((p) => (p.dist || 0) >= d1);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const ts0 = t0 + min * 1000,\n ts1 = t0 + max * 1000;\n iMin = pts.findIndex((p) => (p.time || 0) >= ts0);\n iMax = pts.findIndex((p) => (p.time || 0) >= ts1);\n }\n\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = pts.length - 1;\n\n // Compute selection stats\n const selPts = pts.slice(iMin, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n\n MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n UrlState.patch({ sel: [min, max] });\n}\n\nfunction onChartClick(pt: TrackPoint, idx: number) {\n if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL);\n}\n\nexport function selectTrack(id: string, fit = true, deferChartRender = false) {\n if (!tracks[id]) return;\n if (id === selectedId) {\n if (fit) MapView.fitTrack(id);\n return;\n }\n\n const hadSelected = selectedId !== null;\n if (hadSelected) {\n // Clear current views immediately before loading new data\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n }\n\n selectedId = id;\n\n // Fully reset metric coloring when switching tracks\n currentMapColors = null;\n MapView.clearMetricColor(id);\n if (hadSelected) {\n ChartView.toggleMapColor(null); // Ensure ChartView state also resets\n }\n\n // Clear selection on new track\n UrlState.patch({ track: id, sel: null }, true);\n if (hadSelected) {\n ChartView.cancelSelection();\n }\n\n // Update UI immediately\n renderTrackList();\n\n // Render details\n const activeTab = UrlState.get().tab || 'graphs';\n if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags());\n if (activeTab === 'insights') renderInsights(tracks[id]);\n if (activeTab === 'combined') renderCombined(tracks[id]);\n if (activeTab === 'courses') renderCourses();\n if (activeTab === 'evolution') {\n renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n\n // Tell sub-views\n MapView.setSelectedTrack(id, fit);\n if (fit) MapView.fitTrack(id);\n ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender);\n}\n\nasync function deleteTrack(id: string) {\n await Storage.remove(id);\n MapView.removeTrack(id);\n delete tracks[id];\n if (selectedId === id) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n UrlState.patch({ track: null, sel: null, sel_point: null });\n }\n applyFilters();\n}\n\nasync function clearAll() {\n const code = Math.floor(10 + Math.random() * 90).toString();\n\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n backdrop.innerHTML = `\n
\n
Delete all tracks?
\n
\n This will permanently remove all tracks from your browser storage. This action cannot be undone.\n
\n
\n
Enter \"${code}\" to confirm:
\n \n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const input = backdrop.querySelector('.modal-input') as HTMLInputElement;\n const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement;\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n\n input.focus();\n\n input.addEventListener('input', () => {\n btnConfirm.disabled = input.value !== code;\n });\n\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n\n btnConfirm.addEventListener('click', async () => {\n if (input.value !== code) return;\n close();\n\n cancelProcessing = true;\n await Storage.clear();\n\n tracks = {};\n selectedId = null;\n MapView.clearHighlight();\n window.location.reload();\n });\n}\n\nfunction applyFilters(skipRender = false) {\n const ids = Object.keys(tracks);\n ids.forEach((id) => {\n const t = tracks[id];\n const s = t.stats;\n let visible = true;\n\n // Search query\n if (searchQuery) {\n if (searchRegex) {\n try {\n const re = new RegExp(searchQuery, 'i');\n if (!re.test(t.name)) visible = false;\n } catch (e) {\n visible = false;\n }\n } else {\n if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false;\n }\n }\n\n // Date filter\n if (visible && (filters.date[0] || filters.date[1])) {\n const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0;\n const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity;\n const t0 = s.startTime || 0;\n if (t0 < start || t0 > end) visible = false;\n }\n\n // Distance filter\n if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) {\n const min = (filters.dist[0] || 0) * 1000;\n const max = (filters.dist[1] || Infinity) * 1000;\n if (s.totalDist < min || s.totalDist > max) visible = false;\n }\n\n // Duration filter\n if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) {\n const min = (filters.dur[0] || 0) * 60000;\n const max = (filters.dur[1] || Infinity) * 60000;\n const d = s.duration || 0;\n if (d < min || d > max) visible = false;\n }\n\n // Metrics filter\n if (visible && filters.metrics.size > 0) {\n for (const m of filters.metrics) {\n const field = ChartView.METRICS[m].field;\n if (!t.points.some((p: any) => p[field] != null)) {\n visible = false;\n break;\n }\n }\n }\n\n // Sport filter\n if (visible && filters.sport) {\n if (t.sport !== filters.sport) visible = false;\n }\n\n // Tags filter\n if (visible && filters.tags.length > 0) {\n const trackTags = t.tags || [];\n if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false;\n }\n\n t._filtered = !visible;\n MapView.setTrackVisible(t.id, t.visible && visible);\n });\n\n if (!skipRender) renderTrackList();\n}\n\nfunction updateFilterUI() {\n (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || '';\n (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || '';\n (document.getElementById('filter-dist-min') as HTMLInputElement).value =\n filters.dist[0] !== null ? String(filters.dist[0]) : '';\n (document.getElementById('filter-dist-max') as HTMLInputElement).value =\n filters.dist[1] !== null ? String(filters.dist[1]) : '';\n (document.getElementById('filter-dur-min') as HTMLInputElement).value =\n filters.dur[0] !== null ? String(filters.dur[0]) : '';\n (document.getElementById('filter-dur-max') as HTMLInputElement).value =\n filters.dur[1] !== null ? String(filters.dur[1]) : '';\n (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', ');\n\n document\n .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item')\n .forEach((el) => {\n const item = el as HTMLElement;\n item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || ''));\n });\n\n document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => {\n const btn = el as HTMLElement;\n btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!));\n });\n\n const activeCount =\n (filters.date[0] ? 1 : 0) +\n (filters.date[1] ? 1 : 0) +\n (filters.dist[0] !== null ? 1 : 0) +\n (filters.dist[1] !== null ? 1 : 0) +\n (filters.dur[0] !== null ? 1 : 0) +\n (filters.dur[1] !== null ? 1 : 0) +\n filters.metrics.size +\n (filters.tags.length > 0 ? 1 : 0);\n\n const badge = document.querySelector('#btn-toggle-filters .btn-badge');\n if (badge) {\n badge.textContent = activeCount > 0 ? String(activeCount) : '';\n badge.classList.toggle('hidden', activeCount === 0);\n }\n}\n\nfunction updateSearchSortUI() {\n const searchInput = document.getElementById('track-search') as HTMLInputElement;\n if (searchInput) searchInput.value = searchQuery;\n document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex);\n\n const opt = SORT_OPTIONS.find((o) => o.val === currentSort);\n if (opt) {\n const labelEl = document.getElementById('sort-current-label');\n const iconEl = document.getElementById('sort-current-icon');\n if (labelEl)\n labelEl.textContent = opt.label\n .replace(' first', '')\n .replace(' distance', '')\n .replace(' duration', '');\n if (iconEl) iconEl.textContent = opt.icon;\n }\n}\n\nfunction applyState(urlState: AppState) {\n // Restore track\n const newTrackId = urlState.track;\n if (newTrackId !== selectedId) {\n if (newTrackId && tracks[newTrackId]) {\n selectTrack(newTrackId, true);\n } else if (!newTrackId && selectedId) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n renderTrackList();\n MapView.fitAll();\n }\n }\n\n // Restore basemap\n if (urlState.map && typeof urlState.map === 'string') {\n MapView.switchBasemap(urlState.map);\n document\n .querySelectorAll('.bm-btn')\n .forEach((b) =>\n b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map),\n );\n }\n\n // Restore map position\n if (urlState.map_pos) {\n const [lat, lng, zoom] = urlState.map_pos;\n MapView.setPosition(lat, lng, zoom);\n }\n\n // Restore tab\n if (urlState.tab) {\n document.querySelectorAll('.tab-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n if (b.dataset.tab === urlState.tab) {\n if (!b.classList.contains('active')) b.click();\n }\n });\n }\n\n // Restore x-axis mode\n if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis);\n\n const currentXAxis = urlState.xaxis || 'time';\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis));\n\n // Restore active metrics\n if (urlState.metrics) {\n const metrics = ChartView.METRICS;\n const keys = urlState.metrics\n .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr))\n .filter((k): k is string => k !== undefined);\n if (keys.length) ChartView.setActiveMetrics(keys);\n }\n\n // Restore filters\n if (urlState.f_date)\n filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null];\n if (urlState.f_dist)\n filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_dur)\n filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets);\n if (urlState.f_tags) filters.tags = urlState.f_tags;\n\n updateFilterUI();\n\n if (urlState.q) searchQuery = urlState.q;\n if (urlState.re) searchRegex = urlState.re;\n if (urlState.sort) currentSort = urlState.sort;\n updateSearchSortUI();\n\n applyFilters();\n}\n\nfunction updateSportFilterOptions() {\n const container = document.getElementById('sport-filter-container');\n if (!container) return;\n\n const commonContainer = document.getElementById('common-sports');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n if (!commonContainer || !dropdownContent) return;\n\n const sports = new Set();\n Object.values(tracks).forEach((t) => {\n if (t.sport) sports.add(t.sport);\n });\n\n const sportsArray = Array.from(sports).sort();\n const burgerDropdown = document.getElementById('sport-burger-dropdown');\n\n commonContainer.innerHTML = '';\n dropdownContent.innerHTML = '';\n\n if (sportsArray.length <= 4) {\n if (burgerDropdown) burgerDropdown.style.display = 'none';\n\n sportsArray.forEach((sport) => {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n });\n } else {\n if (burgerDropdown) burgerDropdown.style.display = 'inline-block';\n\n const commonSports = ['running', 'cycling', 'walking'];\n\n commonSports.forEach((sport) => {\n if (sports.has(sport)) {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n }\n });\n\n sportsArray.forEach((sport) => {\n const item = document.createElement('div');\n item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`;\n item.dataset.sport = sport;\n item.style.padding = '8px';\n item.style.cursor = 'pointer';\n item.style.display = 'flex';\n item.style.alignItems = 'center';\n item.style.gap = '8px';\n item.innerHTML = `\n ${getSportIcon(sport)}\n ${sport.charAt(0).toUpperCase() + sport.slice(1)}\n `;\n dropdownContent.appendChild(item);\n });\n }\n}\n\nfunction renderTrackList() {\n updateSportFilterOptions();\n const list = document.getElementById('track-list');\n const emptyEl = document.getElementById('track-list-empty') as HTMLElement;\n const headerLabel = document.querySelector('.section-label');\n if (!list) return;\n\n const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered);\n if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`;\n\n if (!ids.length) {\n list.innerHTML = '';\n if (emptyEl) {\n list.appendChild(emptyEl);\n emptyEl.style.display = 'block';\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n list.innerHTML = '';\n\n ids\n .sort((a, b) => {\n // Current selected always first\n if (a === selectedId) return -1;\n if (b === selectedId) return 1;\n\n const ta = tracks[a],\n tb = tracks[b];\n const sa = ta.stats,\n sb = tb.stats;\n\n let cmp = 0;\n switch (currentSort) {\n case 'date-asc':\n cmp = (sa.startTime || 0) - (sb.startTime || 0);\n break;\n case 'date-desc':\n cmp = (sb.startTime || 0) - (sa.startTime || 0);\n break;\n case 'dist-asc':\n cmp = (sa.totalDist || 0) - (sb.totalDist || 0);\n break;\n case 'dist-desc':\n cmp = (sb.totalDist || 0) - (sa.totalDist || 0);\n break;\n case 'dur-asc':\n cmp = (sa.duration || 0) - (sb.duration || 0);\n break;\n case 'dur-desc':\n cmp = (sb.duration || 0) - (sa.duration || 0);\n break;\n default:\n cmp = 0;\n }\n return cmp || a.localeCompare(b);\n })\n .forEach((id) => {\n list.appendChild(buildTrackItem(tracks[id]));\n });\n}\n\nfunction getGlobalTags(): string[] {\n const all = new Set();\n Object.values(tracks).forEach((t) => {\n (t.tags || []).forEach((tag) => all.add(tag));\n });\n return Array.from(all).sort();\n}\n\nfunction getSportIcon(sport: string | null): string {\n if (!sport) return 'category';\n const s = sport.toLowerCase();\n if (s.includes('run')) return 'directions_run';\n if (s.includes('cycl') || s.includes('bike')) return 'directions_bike';\n if (s.includes('walk')) return 'directions_walk';\n if (s.includes('swim')) return 'pool';\n if (s.includes('hik')) return 'hiking';\n return 'sports';\n}\n\nfunction buildTrackItem(track: TrackData) {\n const item = document.createElement('div');\n item.className = `track-item${track.id === selectedId ? ' selected' : ''}`;\n item.dataset.id = track.id;\n\n const date =\n track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date';\n\n const tagsHtml =\n (track.tags || []).length > 0\n ? `
${(track.tags || [])\n .map((t) => {\n const c = getTagColor(t);\n return `${escHtml(t)}`;\n })\n .join('')}
`\n : '';\n\n item.innerHTML = `\n
\n
\n
${escHtml(track.displayName || track.name)}
\n
\n
\n ${date}\n ${Math.round(track.stats.totalDist / 1000)} km\n ${track.sport ? `${getSportIcon(track.sport)}` : ''}\n ${track.format.toUpperCase()}\n
\n \n
\n ${tagsHtml}\n
\n `;\n\n item.addEventListener('click', (e) => {\n if ((e.target as HTMLElement).closest('.icon-btn')) return;\n selectTrack(track.id);\n });\n\n const btnVis = item.querySelector('.toggle-vis') as HTMLElement;\n btnVis.addEventListener('click', () => {\n track.visible = !track.visible;\n btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible\n ? 'visibility'\n : 'visibility_off';\n MapView.setTrackVisible(track.id, track.visible);\n Storage.save(track);\n });\n\n return item;\n}\n\nfunction showToast(msg: string, type: 'info' | 'error' = 'info') {\n const container = document.getElementById('toast-container');\n if (!container) return;\n container.innerHTML = '';\n const t = document.createElement('div');\n t.className = `toast ${type}`;\n t.textContent = msg;\n container.appendChild(t);\n}\n\nfunction showSkippedImportsModal() {\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n let listHtml = '';\n skippedImports.forEach((s) => {\n listHtml += `
${s.name}: ${s.reason}
`;\n });\n\n backdrop.innerHTML = `\n
\n
Skipped Imports
\n
\n ${listHtml || '
No skipped imports.
'}\n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n const btnClear = backdrop.querySelector('.modal-btn.clear') as HTMLButtonElement;\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n btnClear.addEventListener('click', () => {\n skippedImports = [];\n close();\n const importWarning = document.getElementById('import-warning');\n if (importWarning) importWarning.classList.add('hidden');\n });\n\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n}\n\nfunction initDropZone() {\n const zone = document.getElementById('drop-zone');\n if (!zone) return;\n\n const importWarning = document.getElementById('import-warning');\n if (importWarning) {\n importWarning.addEventListener('click', (e) => {\n e.stopPropagation();\n showSkippedImportsModal();\n });\n }\n\n window.addEventListener('dragover', (e) => {\n e.preventDefault();\n zone.classList.add('drop-active');\n });\n\n window.addEventListener('dragleave', (e) => {\n if (e.relatedTarget === null) zone.classList.remove('drop-active');\n });\n\n window.addEventListener('drop', async (e) => {\n e.preventDefault();\n zone.classList.remove('drop-active');\n\n const items = e.dataTransfer?.items;\n if (!items) return;\n\n const files: File[] = [];\n const queue: FileSystemEntry[] = [];\n\n for (let i = 0; i < items.length; i++) {\n const entry = items[i].webkitGetAsEntry();\n if (entry) queue.push(entry);\n }\n\n async function readAllEntries(entry: FileSystemEntry) {\n if (entry.isFile) {\n const file = await new Promise((res) => (entry as FileSystemFileEntry).file(res));\n files.push(file);\n } else if (entry.isDirectory) {\n const reader = (entry as FileSystemDirectoryEntry).createReader();\n let entries: FileSystemEntry[] = [];\n let chunk: FileSystemEntry[];\n do {\n chunk = await new Promise((res) => reader.readEntries(res));\n entries.push(...chunk);\n } while (chunk.length > 0);\n\n for (const child of entries) await readAllEntries(child);\n }\n }\n\n for (const entry of queue) await readAllEntries(entry);\n\n if (files.length) handleFiles(files);\n });\n}\n\nasync function handleFiles(files: File[]) {\n if (!files.length) return;\n cancelProcessing = false;\n const initialSkipCount = skippedImports.length;\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const loaderClose = document.getElementById('loader-close');\n\n if (loaderClose) {\n loaderClose.addEventListener('click', () => {\n cancelProcessing = true;\n if (loader) loader.classList.add('hidden');\n });\n }\n\n function updateLoaderIconToWarning() {\n const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement;\n if (loaderIcon) {\n loaderIcon.textContent = 'warning';\n loaderIcon.style.color = '#f59e0b';\n }\n const warningCount = document.getElementById('loader-warning-count');\n if (warningCount) {\n const count = skippedImports.length - initialSkipCount;\n const countSpan = warningCount.querySelector('span');\n if (countSpan) countSpan.textContent = `${count}`;\n warningCount.style.display = 'flex';\n }\n }\n\n if (loader) {\n if (loaderText)\n loaderText.textContent = `Importing ${files.length} file${files.length > 1 ? 's' : ''}`;\n const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement;\n if (loaderIcon) {\n loaderIcon.textContent = 'download';\n loaderIcon.style.color = 'var(--accent)';\n }\n const warningCount = document.getElementById('loader-warning-count');\n if (warningCount) {\n warningCount.style.display = 'none';\n const countSpan = warningCount.querySelector('span');\n if (countSpan) countSpan.textContent = '0';\n }\n if (loaderSubtext) loaderSubtext.textContent = '';\n if (progressBar) progressBar.style.width = '0%';\n loader.classList.remove('hidden');\n\n if (skippedImports.length > initialSkipCount) updateLoaderIconToWarning();\n }\n\n try {\n let count = 0;\n let firstId: string | null = null;\n let processedSinceLastUpdate = 0;\n\n // Filter out obviously invalid files early\n const validFiles = files.filter((f) => {\n const name = f.name.toLowerCase();\n return (\n name.endsWith('.gpx') ||\n name.endsWith('.fit') ||\n name.endsWith('.tcx') ||\n name.endsWith('.kml')\n );\n });\n\n const invalidFiles = files.filter((f) => !validFiles.includes(f));\n invalidFiles.forEach((f) => {\n skippedImports.push({ name: f.name, reason: 'Unsupported file format' });\n });\n\n if (validFiles.length === 0) {\n if (files.length > 0) {\n showToast('No valid GPS files found', 'error');\n // Still update warning icon if there were invalid files!\n const importWarning = document.getElementById('import-warning');\n if (importWarning && skippedImports.length > 0) {\n importWarning.classList.remove('hidden');\n importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`;\n }\n }\n return;\n }\n\n const loaderFilename = document.getElementById('loader-filename');\n let progressIdxEl: HTMLElement | null = null;\n if (loaderSubtext) {\n loaderSubtext.innerHTML =\n '';\n progressIdxEl = loaderSubtext.querySelector('.progress-index') as HTMLElement | null;\n const totalEl = loaderSubtext.querySelector('.progress-total');\n if (totalEl) totalEl.textContent = validFiles.length.toString();\n }\n\n for (let i = 0; i < validFiles.length; i++) {\n if (cancelProcessing) break;\n const f = validFiles[i];\n if (loaderFilename) loaderFilename.textContent = f.name;\n if (progressIdxEl) progressIdxEl.textContent = (i + 1).toString();\n if (progressBar) progressBar.style.width = `${(i / validFiles.length) * 100}%`;\n\n try {\n const data = await Parsers.parseFile(f);\n\n // Duplicate checks\n const existingTracks = Object.values(tracks);\n\n // Rule 1: Same file and same size\n const sameFile = existingTracks.find((t) => t.fileName === f.name && t.fileSize === f.size);\n if (sameFile) {\n skippedImports.push({ name: f.name, reason: 'Same File' });\n updateLoaderIconToWarning();\n continue;\n }\n\n // Rule 2 & 3: Same start day checks\n const newStart = data.stats.startTime;\n const newDuration = data.stats.duration;\n\n if (newStart != null && newDuration != null) {\n const newEnd = newStart + newDuration;\n const sameDayTracks = existingTracks.filter(\n (t) => t.stats.startTime != null && isSameDay(newStart, t.stats.startTime!),\n );\n\n let discarded = false;\n for (const ext of sameDayTracks) {\n const extStart = ext.stats.startTime!;\n const extDuration = ext.stats.duration!;\n const extEnd = extStart + extDuration;\n\n // Rule 2: Fully contained\n if (newStart >= extStart && newEnd <= extEnd) {\n skippedImports.push({ name: f.name, reason: 'Fully contained in another track' });\n updateLoaderIconToWarning();\n discarded = true;\n break;\n }\n\n // Rule 3: Overlaps for > 10 mins\n const overlap = Math.min(newEnd, extEnd) - Math.max(newStart, extStart);\n if (overlap > 600000) {\n // 10 mins in ms\n skippedImports.push({\n name: f.name,\n reason: 'Overlaps with an existing track for more than 10 mins',\n });\n updateLoaderIconToWarning();\n discarded = true;\n break;\n }\n }\n if (discarded) continue;\n }\n\n const fallbackTime = 1785542400000;\n let id = compactId(data.stats.startTime || fallbackTime);\n if (tracks[id]) id += `-${shortRandom()}`;\n\n // Use filename as activity name if internal name is generic\n let trackName = data.name;\n if (trackName.startsWith('Unnamed') || trackName.startsWith('Fit Activity'))\n trackName = f.name;\n\n // Generate a nice display name\n let displayName = trackName;\n const t0 = data.points[0]?.time;\n const sport = data.sport\n ? data.sport.charAt(0).toUpperCase() + data.sport.slice(1)\n : 'Activity';\n if (t0) {\n const d = new Date(t0);\n displayName = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')} ${sport}`;\n } else {\n displayName = trackName.replace(/\\.[^/.]+$/, '').replace(/_/g, ' '); // Remove extension and replace underscores\n }\n\n const track: TrackData = {\n ...data,\n id,\n name: trackName,\n displayName,\n fileName: f.name,\n fileSize: f.size,\n bounds: calculateBounds(data.points) || undefined,\n simplifiedPoints: simplifyTrack(data.points, 50), // 50m resolution\n addedAt: data.stats.startTime || fallbackTime,\n visible: true,\n color: TRACK_COLORS[colorIdx % TRACK_COLORS.length],\n };\n colorIdx++;\n if (cancelProcessing) break;\n\n await Storage.save(track);\n tracks[id] = track;\n MapView.addTrack(track);\n if (!firstId) firstId = id;\n count++;\n processedSinceLastUpdate++;\n\n if (processedSinceLastUpdate >= 5) {\n processedSinceLastUpdate = 0;\n }\n } catch (err) {\n skippedImports.push({\n name: f.name,\n reason: `Parse error: ${err instanceof Error ? err.message : String(err)}`,\n });\n updateLoaderIconToWarning();\n }\n }\n\n // Update warning icon\n const importWarning = document.getElementById('import-warning');\n if (importWarning) {\n if (skippedImports.length > 0) {\n importWarning.classList.remove('hidden');\n importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`;\n } else {\n importWarning.classList.add('hidden');\n }\n }\n\n const newWarnings = skippedImports.length > initialSkipCount;\n if (!newWarnings && loader) {\n loader.classList.add('hidden');\n }\n\n if (count > 0) {\n showToast(`Imported ${count} track${count > 1 ? 's' : ''}`);\n applyFilters(!!firstId && firstId !== selectedId);\n if (firstId) selectTrack(firstId);\n }\n\n if (newWarnings) {\n const loaderIcon = document.querySelector('.loader-icon-wrap span');\n if (loaderIcon) loaderIcon.textContent = 'warning';\n // Delay hiding loader to let user see the alert icon\n await new Promise((r) => setTimeout(r, 1500));\n }\n } finally {\n if (loader) loader.classList.add('hidden');\n }\n}\n\nfunction initMetricPillDraggable() {\n const container = document.getElementById('metric-pills');\n if (!container) return;\n\n let draggedEl: HTMLElement | null = null;\n\n container.addEventListener('dragstart', (e) => {\n const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (!target) return;\n draggedEl = target;\n e.dataTransfer!.effectAllowed = 'move';\n target.classList.add('dragging-pill');\n // For transparent background in ghost image\n setTimeout(() => (target.style.opacity = '0.4'), 0);\n });\n\n container.addEventListener('dragover', (e) => {\n e.preventDefault();\n e.dataTransfer!.dropEffect = 'move';\n const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (target && target !== draggedEl) {\n const rect = target.getBoundingClientRect();\n const next = e.clientX - rect.left > rect.width / 2;\n container.insertBefore(draggedEl!, next ? target.nextSibling : target);\n }\n });\n\n container.addEventListener('dragend', () => {\n if (!draggedEl) return;\n draggedEl.classList.remove('dragging-pill');\n draggedEl.style.opacity = '';\n draggedEl = null;\n\n // Update Chart order\n const keys = Array.from(container.querySelectorAll('.metric-pill')).map(\n (el) => (el as HTMLElement).dataset.metric!,\n );\n ChartView.updateMetricOrder(keys);\n syncMetricsToUrl();\n });\n}\n\nfunction updateToolbarLayout() {\n const toolbar = document.getElementById('chart-toolbar');\n const pills = document.getElementById('metric-pills');\n if (!toolbar || !pills) return;\n\n toolbar.classList.remove('collapsed');\n const availableW = Math.max(0, toolbar.clientWidth - 280);\n let totalW = 0;\n let hidden = false;\n\n Array.from(pills.children).forEach((el) => {\n const htmlEl = el as HTMLElement;\n if (htmlEl.id === 'pill-overflow') return;\n\n htmlEl.classList.remove('overflow-hidden');\n if (!htmlEl.classList.contains('active')) return;\n const metricKey = htmlEl.dataset.metric || '';\n const deterministicPillWidth = 36 + metricKey.length * 6;\n totalW += deterministicPillWidth + 6;\n\n if (totalW > availableW) {\n hidden = true;\n htmlEl.classList.add('overflow-hidden');\n }\n });\n\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.toggle('hidden', !hidden);\n\n if (hidden) toolbar.classList.add('collapsed');\n}\n\ndocument.addEventListener('DOMContentLoaded', init);\n"], + "mappings": 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"avgY", "minLabelY", "maxLabelY", "labelHeight", "countLower", "countHigher", "pLower", "pHigher", "font8", "textY", "fontB10", "midX", "getBinAt", "lineEl", "relY", "rawI", "count", "pct", "low", "high", "zoneHtml", "mid", "zones", "Zones", "zIdx", "z", "finalZIdx", "totalAccum", "totalPct", "html", "stotalAccum", "stotalPct", "ttH", "ttW", "binCenterY", "sum", "n", "gain", "loss", "prevEle", "isDist", "diff", "cx", "gColor", "g", "p0", "p1", "content", "front", "rear", "color44", "gradientColorRgbaCache", "gradientColorRgba", "c", "yMin", "yMax", "xScale", "yScale", "yBase", "idxs", "iStart", "iEnd", "byColor", "prevIdx", "xv1", "xv0", "x0", "y0", "x1", "y1", "color", "segs", "j", "drawHoverLine", "xVal", "opacity", "skipLine", "distVal", "timeVal", "bottomLabel", "topLabel", "drawPill", "text", "y", "isTop", "rx", "clampedRx", "ry", "pillH", "yVal", "cyClamp", "drawAreaFillAbove", "yDir", "yMult", "inSegment", "hasAnySegment", "lastPx", "xv", "yv", "px", "py", "ah", "ar", "ag", "ab", "br", "bg", "rr", "rg", "rb", "absG", "kmh", "windowMetres", "grads", "j0", "j1", "data", "res", "right", "getAvg", "avgSpeed", "avgPower", "avgCadence", "INTERVAL_CAP", "ivPwr", "ivHr", "ivSpd", "ivEle", "ivCad", "ivSmoothed", "ivKdeBins", "intervalWindows", "analyzeTelemetryIntervals", "tracksList", "selStartSec", "selEndSec", "intervalScore", "ti", "sStart", "sEnd", "inv35", "invSigmaSq", "omega", "sgPwr", "sgHr", "sgSpd", "dP", "gauss", "harmonic", "sectionRanges", "si", "secStart", "secEnd", "secLen", "wi", "invW", "winSum", "winEle", "maxInterval", "avg", "norm", "newActive", "isStepped", "drawBackgroundTracks", "GAP_THRESHOLD", "field", "first", "prevP", "prevXVal", "lastFrontGear", "fMin", "fMax", "fg", "rMin", "rMax", "isTimeAxis", "gapSec", "prevDrawnI", "prevX", "prevY", "segmentColor", "prevXv", "SENSOR_ICONS", "Metrics", "onTagsChangeCb", "onDeleteTrackCb", "initDetails", "onTagsChange", "onDeleteTrack", "resetDetails", "container", "DETAIL_CAP", "detailChannels", "stabilityWindows", "analyzeTrackDetails", "track", "allTracks", "pts", "n", "stabilityAccum", "i", "p", "wi", "w", "invW", "halfW", "ci", "ch", "sum", "sumSq", "autoCov", "jitterSum", "invNoise", "v", "old", "mean", "variance", "lagVal", "diff", "diffSqNoise", "likelihood", "damp", "sections", "Parsers", "splitRows", "si", "sec", "st", "secPtsCount", "secJitter", "dp", "dh", "secStab", "fmtSecs", "gearMap", "fg", "rg", "key", "entry", "gearMatrix", "a", "b", "combo", "g", "cohort", "distRank", "pwrRank", "elevRank", "cohortPwrSum", "cohortDistSum", "ti", "peer", "cohortAvgPower", "cohortAvgDistKm", "renderDetails", "globalTags", "sectionRange", "activeTrack", "t0Base", "ts0", "ts1", "iMin", "iMax", "subPts", "subStats", "s", "t0", "detailAnalysis", "telemetryStabilityPct", "escHtml", "t", "fmtFileSize", "getSportIcon", "SPORTS", "fmtDateTime", "sensor", "gm", "sr", "seen", "d", "name", "manufacturer", "extra", "battery", "sourceIcon", "deviceIcon", "nameLower", "tagContainer", "tagInput", "addBtn", "renderTags", "tags", "tag", "c", "getTagColor", "el", "btn", "e", "Storage", "addTag", "val", "titleInput", "sportTrigger", "showSportMenu", "anchorEl", "popup", "def", "item", "isActive", "iconEl", "nameEl", "clearItem", "isClear", "rect", "closeHandler", "uPlot", "courses", "getCoursesForTrack", "track", "c", "pt", "passesPoint", "trackPt", "haversine", "activeCourseId", "isEditMode", "openCourseId", "toastFn", "courseLayer", "initCourses", "showToast", "toastFn", "loadCourses", "resetCourses", "courses", "activeCourseId", "openCourseId", "isEditMode", "container", "prepareBenchmarkCourses", "allTracks", "specs", "i", "spec", "t", "n", "pStart", "pMid", "pEnd", "getBenchmarkCourseIds", "c", "stored", "Storage", "e", "saveCourses", "calculateCourseDistance", "course", "total", "p1", "p2", "haversine", "findCourseRange", "track", "coursePoints", "currentPtIdx", "startIdx", "endIdx", "tp", "cp", "calculateCourseStats", "pts", "s", "startTime", "duration", "totalPower", "powerCount", "totalHR", "hrCount", "totalSpeed", "speedCount", "totalCadence", "cadenceCount", "totalAscent", "prev", "de", "dist", "formatDuration", "seconds", "h", "m", "renderCourseTableHeaders", "METRICS", "renderCourseTableCells", "stats", "sport", "dateStr", "paceUnit", "SPORTS", "paceStr", "paceSeconds", "fmtPace", "COURSE_CAP", "courseTrkLats", "courseTrkLons", "courseTrkPwrs", "courseGateLats", "courseGateLons", "DTW_SAMPLES", "DTW_BAND", "dtwRefProfile", "dtwCandProfile", "dtwPrevRow", "dtwCurrRow", "renderCourses", "corridorDeviationSum", "targetCourses", "candidateIds", "MapView", "p", "numGates", "g", "segFloat", "segIdx", "frac", "pA", "pB", "ci", "id", "pt", "gLat", "gLon", "minDist", "bestIdx", "d", "idx", "val", "jStart", "jEnd", "rVal", "j", "diff", "diffSq", "cost", "m1", "m2", "m3", "prevMin", "matchingIds", "isOpen", "tracksHtml", "matchedTracksWithStats", "range", "span", "q1Idx", "q2Idx", "q3Idx", "s1Stats", "s2Stats", "s3Stats", "s4Stats", "fmtDate", "a", "b", "UrlState", "escHtml", "createNewCourse", "el", "editCourse", "renameCourse", "deleteCourse", "selectCourse", "row", "trackId", "selectTrack", "t0", "sIdx", "eIdx", "tMin", "tMax", "axis", "ChartView", "selMin", "selMax", "name", "newCourse", "nameEl", "currentName", "input", "save", "newName", "clearCourseLayer", "courseLayer", "selectCourse", "id", "open", "activeCourseId", "openCourseId", "isEditMode", "MapView", "clearCourseLayer", "renderCourses", "deleteCourse", "courses", "c", "saveCourses", "toastFn", "insightPlots", "destroyInsightPlots", "p", "initInsights", "showToast", "resetInsights", "el", "container", "INSIGHT_CAP", "inPwrArr", "inHrArr", "inCadArr", "inSpdArr", "inVamArr", "inPrefixPwr", "inPrefixVam", "mmpDurations", "analyzeTrackPhysiology", "pts", "cpBase", "sections", "n", "i", "pt", "h", "c", "sp", "gr", "vam", "envelopeChecksum", "di", "d", "limit", "maxP", "maxV", "j", "sumP", "sumV", "minWPrimeBal", "wBal", "matchesBurned", "inMatchBurn", "half", "efSum1", "efSum2", "qCounts", "thresholdCad", "thresholdTorque", "cad", "invH", "diff", "dcp", "dep", "tauDyn", "torque", "ef", "ef1", "ef2", "decouplingPct", "quadrantPct", "sectionPeaks", "sec", "st", "durHours", "renderInsights", "track", "allTracks", "sectionRange", "Parsers", "activeRange", "UrlState", "activePts", "s", "t0", "startMs", "endMs", "iMin", "iMax", "phys", "grid", "chartWidth", "renderCurveCard", "Metrics", "card", "metricKey", "color", "isMapColored", "ChartView", "totalTime", "a", "b", "zones", "Zones", "zonesHtml", "time", "z", "pct", "rangeText", "fmtSecs", "e", "current", "btn", "showPowerZoneSettings", "showHRZoneSettings", "climbingCard", "distKm", "grade", "effCard", "secCard", "escHtml", "trackCourses", "getCoursesForTrack", "coursesCard", "renderCourseTableHeaders", "range", "findCourseRange", "statsHtml", "stats", "calculateCourseStats", "startTime", "dateStr", "fmtDate", "renderCourseTableCells", "courseId", "selectCourse", "course", "MapView", "opts", "curve", "label", "unit", "icon", "tableWrap", "toggleBtn", "toggleIcon", "isHidden", "mapColorBtn", "key", "tbody", "durations", "entry", "val", "row", "fmtDuration", "startIdx", "duration", "endIdx", "tMin", "tMax", "chartEl", "xData", "yData", "curYVal", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "idx", "hasFocus", "mousePy", "pointPy", "cx", "cy", "durVal", "pcx", "pcy", "plot", "uPlot", "anchorEl", "popup", "rect", "inputs", "newZones", "Storage", "dismiss", "ftp", "input", "newFtp", "uPlot", "currentTracks", "currentTrack", "plot", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "playIntervalId", "isPolar", "updateSliderLabel", "sliderVal", "timeSecs", "fmtSecs", "resetCombined", "playIntervalId", "plot", "currentTracks", "currentTrack", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "isPolar", "tooltip", "container", "COMBINED_CAP", "combinedDensityGrid", "computeMultiTrackCorrelationAndSections", "allTracks", "matrixTracks", "numTrk", "pairs", "p", "aggPts", "corrSum", "correlations", "pi", "pair", "sumX", "sumY", "sumXX", "sumYY", "sumXY", "count", "t", "pts", "n", "k", "x", "y", "pw", "h", "cd", "bx", "by", "rVal", "slope", "meanX", "meanY", "varX", "varY", "covXY", "denom", "g", "sectionLabels", "sectionRows", "t1", "t2", "q", "fStart", "fEnd", "sliceStats", "trk", "sIdx", "eIdx", "pSum", "hSum", "spSum", "cnt", "i", "pt", "st1", "st2", "cohortPwrSum", "setCombinedMetrics", "xKey", "yKey", "renderCombined", "setCombinedPolar", "polar", "setCombinedSliderProgress", "fraction", "clamped", "maxLen", "slider", "updateSliderLabel", "trackOrTracks", "track", "metrics", "ChartView", "availableMetrics", "key", "def", "xDef", "yDef", "summaryHtml", "s1", "s2", "distDiff", "pwrDiff", "hrDiff", "eleDiff", "shiftsDiff", "totalDist", "totalElev", "totalDur", "avgPwr", "maxPwr", "avgHr", "maxHr", "tempDiff", "avgTemp", "maxTemp", "totalShifts", "fmtSecs", "sr", "c", "e", "showMenu", "sliderVal", "playBtn", "startPlaying", "stopPlaying", "updatePlot", "resizeCombined", "plotContainer", "w", "size", "anchorEl", "axis", "el", "popup", "item", "currentVal", "rect", "close", "xData", "seriesList", "dataArrays", "yArr", "width", "height", "opts", "uPlot", "t0", "chronoData", "idx", "d", "xVals", "yVals", "xMin", "xMax", "yMin", "yMax", "xVal", "yVal", "theta", "r", "px", "py", "a", "b", "yData", "hexToRgba", "u", "vals", "v", "seriesIdx", "dataIdx", "cursorLeft", "cursorTop", "minD2", "closestIdx", "cx", "cy", "dx", "dy", "d2", "ctx", "dpr", "started", "startIdx", "endIdx", "xVal1", "yVal1", "xVal2", "yVal2", "cx1", "cy1", "cx2", "cy2", "progress", "lineWidth", "alpha", "fillAlpha", "timeSecs", "distKm", "origX", "origY", "canvasRect", "originalIdx", "uPlot", "computeAccumulatedMetric", "allTracks", "extractor", "refTs", "i", "st", "now", "currentYear", "oneYearAgoMs", "sixMonthsAgoMs", "oneMonthAgoMs", "currentYearVal", "pastYearVal", "past6mVal", "past1mVal", "totalVal", "minTime", "t", "val", "time", "msecPerWeek", "currentYearStart", "currentYearWeeks", "pastYearWeeks", "past6mWeeks", "past1mWeeks", "totalWeeks", "renderAccumulatedTable", "accumulated", "isDistance", "unit", "factor", "format", "computeMultiMetricAccumulated", "distance", "elevation", "durationHours", "tss", "durSec", "avgPwr", "ftp", "intensityFactor", "workKj", "climbCount", "s", "renderAccumulatedProgressSummary", "summary", "fmt", "v", "digits", "r", "evolutionPlots", "activeEvolutionCards", "currentEvolutionGrouping", "destroyEvolutionPlots", "p", "resetEvolution", "container", "setEvolutionGrouping", "grouping", "c", "setEvolutionRange", "range", "UrlState", "toolbarRangeCtrl", "b", "setEvolutionPinnedDuration", "dur", "EVO_CAP", "evoPwrPrefix", "evoHrPrefix", "evoSpdPrefix", "evoStressArr", "evoDailyTrimp", "envelopeDurations", "renderEvolution", "currentTrack", "allTracks", "onTrackSelect", "onDateRangeSelect", "currentRange", "track", "Parsers", "totalFatigue", "totalFitness", "ti", "pts", "n", "i", "pw", "h", "sp", "el", "hrRatio", "di", "d", "limit", "maxP", "maxH", "j", "dh", "alphaA", "oneMinusA", "alphaC", "oneMinusC", "hrRest", "invHrSpan", "atl", "ctl", "kh", "trimp", "dayIdx", "atl365", "ctl365", "day", "load", "cards", "Metrics", "grid", "renderAccumulatedProgressSummary", "gridWidth", "progressSync", "uPlot", "renderProgressCard", "distanceScroll", "elevationScroll", "btn", "onRangeChange", "pill", "target", "onPinChange", "t", "card", "renderCurveEvolutionCard", "opts", "metricKey", "label", "unit", "color", "icon", "trackName", "mainChart", "cardContainer", "row1", "legendEl", "row2", "sideBySide", "chartEl", "maxCurve", "curve", "name", "date", "fmtDate", "trackInfo", "data", "val", "currentCurve", "allDurations", "durations", "a", "xData", "yDataCurrent", "entry", "yDataMax", "validTracks", "xTimeline", "yTimelineData", "currentDur", "tracksFiltered", "pinnedDur", "getFilteredData", "maxTime", "minTime", "filteredIndices", "idx", "xFiltered", "rawY", "rawYFiltered", "smoothedYFiltered", "gaussianSmooth", "timelineChart", "curYVal", "optsUPlot", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "fmtDuration", "pcx", "pcy", "curVal", "dotRadius", "dotColor", "activeSeriesIdx", "cursorLeft", "cursorTop", "minD2", "nearestIdx", "radius", "maxD2", "yCur", "yMax", "px", "py", "dx", "dy", "d2", "xValStr", "xbw", "pillH", "xLabelX", "clampedXBx", "xLabelY", "yValStr", "ybw", "yLabelX", "yLabelY", "cx", "cy", "durVal", "mxVal", "html", "lowerBound", "upperBound", "labelEl", "clickedDur", "newPinnedDur", "stats", "bestIdx", "duration", "startPt", "endPt", "trackStart", "min", "max", "detailsEl", "cur", "mx", "mxId", "mxIdx", "e", "id", "lastNearestIdx", "timelineEl", "timelineTooltip", "dataTimeline", "series", "optsTimeline", "ts", "tpcx", "tpcy", "tctx", "tdpr", "dateStr", "valStr", "yData", "y", "getWeekStart", "diff", "computeWeeklyDistance", "weeklyData", "weekStart", "weekKey", "week", "computeWeeklyElevation", "computeMonthlyDistance", "monthlyData", "monthStart", "monthKey", "computeMonthlyElevation", "type", "syncKey", "isDistance", "activeGrouping", "activeRange", "weeklySource", "monthlySource", "accumulated", "computeAccumulatedMetric", "renderAccumulatedTable", "yAxisEl", "tooltip", "yDataSmoothed", "chartClientW", "width", "maxVal", "mainOpts", "item", "start", "end", "startStr", "endStr", "self", "splits", "s", "scrollContainer", "applySeriesData", "filteredData", "newXData", "newYData", "newYDataSmoothed", "newWidth", "newMaxVal", "TRACK_COLORS", "POINT_ZOOM_LEVEL", "tracks", "skippedImports", "isSameDay", "t1", "t2", "d1", "d2", "cancelProcessing", "selectedId", "colorIdx", "followDot", "currentMapColors", "searchQuery", "searchRegex", "currentSort", "filters", "syncFiltersToUrl", "push", "UrlState", "v", "syncMetricsToUrl", "active", "ChartView", "metrics", "abbrs", "key", "SORT_OPTIONS", "showSortMenu", "anchorEl", "el", "popup", "opt", "item", "updateSearchSortUI", "renderTrackList", "rect", "close", "e", "showMetricMenu", "available", "def", "isNowActive", "pill", "updateToolbarLayout", "id", "idx", "dur", "selectTrack", "t", "pts", "pIdx", "t0", "p", "tMin", "tMax", "iMax", "selPts", "stats", "Parsers", "renderInsights", "MapView", "btn", "nav", "b", "tab", "panel", "c", "renderDetails", "getGlobalTags", "renderEvolution", "trackId", "range", "onChartRangeChange", "start", "end", "applyFilters", "updateFilterUI", "renderCombined", "renderCourses", "s", "resetBenchmarkState", "Storage", "resetCourses", "resetInsights", "resetDetails", "resetCombined", "resetEvolution", "toastContainer", "init", "fontTimerId", "fontTimeout", "resolve", "fontLoadPromise", "storageSelect", "selected", "params", "loader", "loaderText", "loaderSubtext", "progressBar", "mapLoader", "mapLoaderSpan", "urlState", "initInsights", "msg", "type", "showToast", "initDetails", "deleteTrack", "initCourses", "onMapMove", "onMapPointClick", "onMapDblClick", "onChartCursorMove", "onChartClick", "data", "currentUrlState", "applyState", "hrZones", "ftp", "saved", "a", "tracksToLoad", "updated", "calculateBounds", "simplifyTrack", "restoreId", "selectedTrackData", "processAndLoadTrack", "remaining", "index", "loadNextChunk", "initResizeHandle", "initSidebarResizer", "initMetricPillDraggable", "clearAll", "toggleMetric", "metric", "axis", "initDropZone", "handleFiles", "onFilterInput", "val", "burgerBtn", "dropdownContent", "isVisible", "target", "selectedSport", "m", "resizeCombined", "initBenchmarkTriggers", "preloadBenchmarkFiles", "readyEl", "camelReadyEl", "preloadedBenchmarkPayloads", "fileNames", "decoder", "name", "buf", "cleanName", "bytes", "ds", "stream", "text", "file", "warmSample", "parsed", "warmPts", "warmTrack", "warmTrack2", "warmList", "setCombinedPolar", "setCombinedSliderProgress", "setEvolutionGrouping", "setEvolutionRange", "setEvolutionPinnedDuration", "prepareBenchmarkCourses", "selectCourse", "r", "btnLoad", "btnAnalysis", "btnInsights", "btnDetails", "btnAggregate", "btnEvolution", "btnCourses", "activateTab", "tabName", "loadedFiles", "allTracks", "sortMode", "availableMetrics", "metricSets", "mSet", "filtered", "sections", "secStart", "secEnd", "cursorIdx", "primaryTrack", "tIdx", "trk", "globalTags", "i", "setCombinedMetrics", "frac", "selectedTwo", "onSelectCb", "refTracks", "refTrk", "rng", "courseIds", "getBenchmarkCourseIds", "cId", "powerCurveEntries", "needsEnrich", "handle", "isDragging", "h", "clampedH", "resizer", "sidebar", "w", "clampedW", "lat", "lng", "zoom", "pt", "min", "max", "fit", "iMin", "d0", "ts0", "ts1", "deferChartRender", "hadSelected", "activeTab", "code", "backdrop", "input", "btnConfirm", "btnCancel", "skipRender", "visible", "field", "trackTags", "ft", "activeCount", "badge", "searchInput", "o", "labelEl", "iconEl", "newTrackId", "currentXAxis", "keys", "abbr", "k", "updateSportFilterOptions", "commonContainer", "sports", "sportsArray", "burgerDropdown", "sport", "getSportIcon", "list", "emptyEl", "headerLabel", "ids", "ta", "tb", "sa", "sb", "cmp", "buildTrackItem", "all", "tag", "track", "date", "fmtDate", "tagsHtml", "getTagColor", "escHtml", "btnVis", "container", "showSkippedImportsModal", "listHtml", "btnClear", "importWarning", "zone", "items", "files", "queue", "entry", "readAllEntries", "res", "reader", "entries", "chunk", "child", "initialSkipCount", "loaderClose", "updateLoaderIconToWarning", "loaderIcon", "warningCount", "count", "countSpan", "firstId", "processedSinceLastUpdate", "validFiles", "f", "loaderFilename", "progressIdxEl", "totalEl", "existingTracks", "newStart", "newDuration", "newEnd", "sameDayTracks", "discarded", "ext", "extStart", "extDuration", "extEnd", "fallbackTime", "compactId", "shortRandom", "trackName", "displayName", "d", "err", "newWarnings", "draggedEl", "next", "toolbar", "pills", "availableW", "totalW", "hidden", "htmlEl", "deterministicPillWidth", "overflowEl"] } diff --git a/suites-experimental/tools-gps-tracks/src/app.ts b/suites-experimental/tools-gps-tracks/src/app.ts index 4c2de8a86c..c7fd2f1913 100644 --- a/suites-experimental/tools-gps-tracks/src/app.ts +++ b/suites-experimental/tools-gps-tracks/src/app.ts @@ -13,12 +13,27 @@ import { MapView } from './map'; import { ChartView } from './charts'; import { renderDetails, initDetails, resetDetails } from './tabs/details'; import { renderInsights, initInsights, resetInsights } from './tabs/insights'; -import { renderCombined, initCombined, resizeCombined, resetCombined } from './tabs/combined'; -import { renderEvolution, resetEvolution } from './tabs/progress'; +import { + renderCombined, + initCombined, + resizeCombined, + resetCombined, + setCombinedMetrics, + setCombinedPolar, + setCombinedSliderProgress, +} from './tabs/combined'; +import { + renderEvolution, + resetEvolution, + setEvolutionGrouping, + setEvolutionRange, + setEvolutionPinnedDuration, +} from './tabs/progress'; import { renderCourses, initCourses, prepareBenchmarkCourses, + getBenchmarkCourseIds, resetCourses, selectCourse, } from './tabs/courses'; @@ -890,16 +905,34 @@ async function preloadBenchmarkFiles(): Promise< const warmList = [warmTrack, warmTrack2]; Parsers.ensureCurvesAndZones(warmTrack); Parsers.ensureCurvesAndZones(warmTrack2); + warmTrack.stats.sections = Parsers.analyzeTrackSections(warmTrack.points); + warmTrack2.stats.sections = Parsers.analyzeTrackSections(warmTrack2.points); + Parsers.findOverlaps(warmList); MapView.addTracks(warmList); ChartView.loadTrack(warmTrack, warmList, false); ChartView.restoreSelection(10, 50, true); ChartView.setCursorAt(25, true); + ChartView.setSmooth('power', true); + ChartView.setSmooth('power', false); + ChartView.setXAxis('distance'); + ChartView.setXAxis('time'); ChartView.setActiveMetrics(['elevation', 'speed', 'power']); ChartView.analyzeTelemetryIntervals(warmList, 10, 50); + renderInsights(warmTrack, warmList, [10, 50]); renderInsights(warmTrack, warmList); renderDetails(warmTrack, [], warmList); + renderCombined(warmTrack, warmList); + setCombinedPolar(true); + setCombinedPolar(false); + setCombinedSliderProgress(0.5); renderCombined(warmList, warmList); renderEvolution(warmTrack, warmList); + setEvolutionGrouping('month'); + setEvolutionGrouping('week'); + setEvolutionRange('6m'); + setEvolutionRange('all'); + setEvolutionPinnedDuration(60); + setEvolutionPinnedDuration(null); prepareBenchmarkCourses(warmList); selectCourse('course-1', true); await resetBenchmarkState(); @@ -945,6 +978,24 @@ function initBenchmarkTriggers() { const loadedFiles: File[] = payloads.map((p) => p.file); await handleFiles(loadedFiles); const allTracks = Object.values(tracks); + Parsers.findOverlaps(allTracks); + + // Exercise sidebar track list sorting and filtering across distinct criteria + for (const sortMode of ['dist-desc', 'dur-desc', 'date-asc', 'date-desc']) { + currentSort = sortMode; + renderTrackList(); + } + filters.sport = 'cycling'; + applyFilters(); + filters.sport = null; + filters.metrics.add('power'); + applyFilters(); + filters.metrics.clear(); + searchQuery = 'Alpine'; + applyFilters(); + searchQuery = ''; + applyFilters(); + if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id); } finally { window.dispatchEvent(new CustomEvent('load-and-parse-complete')); @@ -956,26 +1007,44 @@ function initBenchmarkTriggers() { const allTracks = Object.values(tracks); activateTab('graphs'); if (!selectedId && allTracks.length > 0) { - selectTrack(allTracks[0].id); + selectTrack(allTracks[0].id, false); } - ChartView.restoreSelection(120, 900, true); - ChartView.setCursorAt(300, true); const availableMetrics = ChartView.getAvailableMetrics(); - const analysisMetrics = ['elevation', 'speed', 'power'].filter((m) => - availableMetrics.has(m), - ); - if (analysisMetrics.length > 0) { - document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => { - const metric = (el as HTMLElement).dataset.metric; - if (metric) el.classList.toggle('active', analysisMetrics.includes(metric)); - }); - updateToolbarLayout(); - ChartView.setActiveMetrics(analysisMetrics); - } else { - updateToolbarLayout(); + const metricSets = [ + ['elevation', 'speed', 'power', 'hr'], + ['elevation', 'speed', 'power'], + ]; + for (const mSet of metricSets) { + const filtered = mSet.filter((m) => availableMetrics.has(m)); + if (filtered.length > 0) { + document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => { + const metric = (el as HTMLElement).dataset.metric; + if (metric) el.classList.toggle('active', filtered.includes(metric)); + }); + updateToolbarLayout(); + ChartView.setActiveMetrics(filtered); + } + } + + // Exercise smoothing, map metric coloring, and X-axis mode switching + ChartView.setSmooth('power', true, true); + ChartView.toggleMapColor('power', true); + ChartView.toggleMapColor(null, true); + ChartView.setXAxis('distance'); + ChartView.setSmooth('power', false, true); + ChartView.setXAxis('time'); + + // Analyze distinct sections of the track (Opening Climb & Main Analysis Window) + const sections: [number, number, number][] = [ + [0, 360, 180], + [120, 900, 300], + ]; + for (const [secStart, secEnd, cursorIdx] of sections) { + ChartView.restoreSelection(secStart, secEnd, true); + ChartView.setCursorAt(cursorIdx, true); + ChartView.analyzeTelemetryIntervals(allTracks, secStart, secEnd); + onChartRangeChange(secStart, secEnd, ChartView.getXAxis(), false); } - ChartView.analyzeTelemetryIntervals(allTracks, 120, 900); - onChartRangeChange(120, 900, ChartView.getXAxis(), false); } finally { window.dispatchEvent(new CustomEvent('analysis-complete')); } @@ -987,7 +1056,24 @@ function initBenchmarkTriggers() { allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t)); activateTab('insights'); const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null; - renderInsights(primaryTrack, allTracks); + // Analyze insights across GPX, TCX, and FIT tracks and across distinct track sections (Opening, Middle, Final thirds, Full) + for (const tIdx of [1, 2, 4]) { + const trk = allTracks[tIdx]; + if (trk) { + renderInsights(trk, allTracks, [0, 540]); + renderInsights(trk, allTracks, [540, 1140]); + renderInsights(trk, allTracks, null); + } + } + if (allTracks[3]) { + renderInsights(allTracks[3], allTracks, [200, 900]); + } + if (primaryTrack) { + renderInsights(primaryTrack, allTracks, [0, 480]); + renderInsights(primaryTrack, allTracks, [480, 960]); + renderInsights(primaryTrack, allTracks, [960, 1440]); + } + renderInsights(primaryTrack, allTracks, null); } finally { window.dispatchEvent(new CustomEvent('insights-complete')); } @@ -997,8 +1083,34 @@ function initBenchmarkTriggers() { try { const allTracks = Object.values(tracks); activateTab('details'); + const globalTags = getGlobalTags(); const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null; - renderDetails(primaryTrack, getGlobalTags(), allTracks); + // Render and analyze telemetry details, splits, gear matrices, and zones across all 6 tracks and terrain sections + for (let i = 0; i < allTracks.length; i++) { + renderDetails(allTracks[i], globalTags, allTracks, null); + } + if (primaryTrack) { + renderDetails(primaryTrack, globalTags, allTracks, [0, 450]); + renderDetails(primaryTrack, globalTags, allTracks, [450, 950]); + renderDetails(primaryTrack, globalTags, allTracks, [950, 1450]); + } + if (allTracks[1]) { + renderDetails(allTracks[1], globalTags, allTracks, [150, 750]); + } + if (allTracks[2]) { + renderDetails(allTracks[2], globalTags, allTracks, [200, 800]); + } + if (allTracks[3]) { + renderDetails(allTracks[3], globalTags, allTracks, [200, 900]); + } + if (allTracks[4]) { + renderDetails(allTracks[4], globalTags, allTracks, [0, 600]); + renderDetails(allTracks[4], globalTags, allTracks, [600, 1200]); + } + if (allTracks[5]) { + renderDetails(allTracks[5], globalTags, allTracks, [150, 750]); + } + renderDetails(primaryTrack, globalTags, allTracks, null); } finally { window.dispatchEvent(new CustomEvent('details-complete')); } @@ -1008,8 +1120,29 @@ function initBenchmarkTriggers() { try { const allTracks = Object.values(tracks); if (allTracks.length >= 2) { - const selectedTwo = [allTracks[0], allTracks[1]]; activateTab('combined'); + // 1. Exercise single-track 2D scatter/trail mode across metric pairs, Polar & Cartesian, and timeline sections + setCombinedMetrics('distance', 'elevation'); + renderCombined(allTracks[0], allTracks); + for (const frac of [0.25, 0.5, 0.75, 1.0]) { + setCombinedSliderProgress(frac); + } + setCombinedPolar(true); + setCombinedSliderProgress(0.5); + setCombinedPolar(false); + setCombinedMetrics('power', 'hr'); + for (const frac of [0.3, 0.7]) { + setCombinedSliderProgress(frac); + } + + // 2. Exercise multi-track comparison mode across regional pairs and all 6 tracks + if (allTracks.length >= 4) { + renderCombined([allTracks[2], allTracks[3]], allTracks); + } + if (allTracks.length >= 6) { + renderCombined(allTracks, allTracks); + } + const selectedTwo = [allTracks[0], allTracks[1]]; renderCombined(selectedTwo, allTracks); } } finally { @@ -1022,13 +1155,27 @@ function initBenchmarkTriggers() { const allTracks = Object.values(tracks); activateTab('evolution'); const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null; - renderEvolution(primaryTrack, allTracks, (trackId, range) => { + const onSelectCb = (trackId: string, range: [number, number] | null) => { selectTrack(trackId, true); if (range) { ChartView.restoreSelection(range[0], range[1]); onChartRangeChange(range[0], range[1], 'time', true); } - }); + }; + + // Exercise evolution view across different reference tracks, groupings ('month' & 'week'), time ranges, and pinned durations + const refTracks = [allTracks[2] || primaryTrack, allTracks[4] || primaryTrack, primaryTrack]; + for (const refTrk of refTracks) { + renderEvolution(refTrk, allTracks, onSelectCb); + setEvolutionGrouping('month'); + for (const rng of ['1m', '2m', '6m', '1y', 'all']) { + setEvolutionRange(rng); + } + setEvolutionGrouping('week'); + for (const dur of [5, 30, 60, 300, 1200, null]) { + setEvolutionPinnedDuration(dur); + } + } } finally { window.dispatchEvent(new CustomEvent('evolution-complete')); } @@ -1039,6 +1186,10 @@ function initBenchmarkTriggers() { const allTracks = Object.values(tracks); activateTab('courses'); prepareBenchmarkCourses(allTracks); + const courseIds = getBenchmarkCourseIds(); + for (const cId of courseIds) { + selectCourse(cId, true); + } selectCourse('course-1', true); } finally { window.dispatchEvent(new CustomEvent('courses-complete')); diff --git a/suites-experimental/tools-gps-tracks/src/charts.ts b/suites-experimental/tools-gps-tracks/src/charts.ts index f8834a206e..d9a1540683 100644 --- a/suites-experimental/tools-gps-tracks/src/charts.ts +++ b/suites-experimental/tools-gps-tracks/src/charts.ts @@ -346,6 +346,28 @@ export const ChartView = (() => { if (currentTrack) render(true); } + function setSmooth(metricKey: string, enabled: boolean, skipRender = false) { + const has = smoothedMetrics.has(metricKey); + if (enabled && !has) { + smoothedMetrics.add(metricKey); + if (currentTrack && !skipRender) render(true); + } else if (!enabled && has) { + smoothedMetrics.delete(metricKey); + if (currentTrack && !skipRender) render(true); + } + } + + function setZeroInclusion(metricKey: string, includeZero: boolean) { + const has = metricsIncludingZero.has(metricKey); + if (includeZero && !has) { + metricsIncludingZero.add(metricKey); + if (currentTrack) render(true); + } else if (!includeZero && has) { + metricsIncludingZero.delete(metricKey); + if (currentTrack) render(true); + } + } + function setActiveMetrics(keys: string[]) { activeMetrics = new Set(keys); if (currentTrack) render(true); @@ -420,7 +442,7 @@ export const ChartView = (() => { onMapColorChangeCb = cb; } - function toggleMapColor(key: string | null) { + function toggleMapColor(key: string | null, skipRender = false) { if (mapColorMetric === key || key === null) { mapColorMetric = null; _updateMapColorBtns(); @@ -431,7 +453,7 @@ export const ChartView = (() => { _fireMapColorCb(); } // Re-render to show/hide colored fills on the graphs - if (currentTrack) render(true); + if (currentTrack && !skipRender) render(true); } function _updateMapColorBtns() { @@ -3063,56 +3085,58 @@ export const ChartView = (() => { ivCad[i] = p.cad || 0; } - // Multi-band Savitzky-Golay 5-point quadratic smoothing, Gaussian kernel density, - // and spectral cadence-HR harmonic analysis + // Single-pass Savitzky-Golay 5-point quadratic smoothing and section interval analysis const sStart = Math.max(0, Math.min(n - 1, Math.floor(selStartSec))); const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec))); const inv35 = 1 / 35; - - const maxSPass = ti < 1 ? 4 : 3; - for (let sPass = 0; sPass < maxSPass; sPass++) { - const weightPwr = 1.0 + sPass * 0.02; - const weightHr = 0.8 + sPass * 0.015; - const invSigmaSq = 1 / (180 + sPass * 25); - const omega = 0.012 + sPass * 0.0015; - for (let i = 2; i < n - 2; i++) { - const sgPwr = - (-3 * ivPwr[i - 2] + - 12 * ivPwr[i - 1] + - 17 * ivPwr[i] + - 12 * ivPwr[i + 1] - - 3 * ivPwr[i + 2]) * - inv35; - const sgHr = - (-3 * ivHr[i - 2] + - 12 * ivHr[i - 1] + - 17 * ivHr[i] + - 12 * ivHr[i + 1] - - 3 * ivHr[i + 2]) * - inv35; - const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25; - const dP = sgPwr - ivPwr[i]; - const gauss = Math.exp(-dP * dP * invSigmaSq); - const harmonic = - sPass < 2 ? Math.cos(i * omega + ivCad[i] * 0.02) : ((i * omega) % 1) - 0.5; - ivSmoothed[i] = - sgPwr * weightPwr * gauss + sgHr * weightHr + sgSpd * (ivCad[i] * 0.1 + harmonic); - } + const invSigmaSq = 1 / 180; + const omega = 0.012; + + for (let i = 2; i < n - 2; i++) { + const sgPwr = + (-3 * ivPwr[i - 2] + + 12 * ivPwr[i - 1] + + 17 * ivPwr[i] + + 12 * ivPwr[i + 1] - + 3 * ivPwr[i + 2]) * + inv35; + const sgHr = + (-3 * ivHr[i - 2] + + 12 * ivHr[i - 1] + + 17 * ivHr[i] + + 12 * ivHr[i + 1] - + 3 * ivHr[i + 2]) * + inv35; + const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25; + const dP = sgPwr - ivPwr[i]; + const gauss = Math.exp(-dP * dP * invSigmaSq); + const harmonic = Math.cos(i * omega + ivCad[i] * 0.02); + ivSmoothed[i] = sgPwr * gauss + sgHr * 0.8 + sgSpd * (ivCad[i] * 0.1 + harmonic); } - for (let pass = 0; pass < 34; pass++) { - const passScale = 1 + pass * 0.005; + const sectionRanges: [number, number][] = [ + [0, Math.floor(n * 0.25)], + [Math.floor(n * 0.25), Math.floor(n * 0.6)], + [Math.floor(n * 0.6), n], + [sStart, sEnd], + ]; + + for (let si = 0; si < sectionRanges.length; si++) { + const [secStart, secEnd] = sectionRanges[si]; + const secLen = secEnd - secStart; + if (secLen < 4) continue; + for (let wi = 0; wi < intervalWindows.length; wi++) { const w = intervalWindows[wi]; - if (w >= n) continue; - const invW = passScale / w; + if (w >= secLen) continue; + const invW = 1 / w; let winSum = 0; let winEle = 0; let maxInterval = 0; - for (let i = 0; i < n; i++) { + for (let i = secStart; i < secEnd; i++) { winSum += ivSmoothed[i]; winEle += ivEle[i]; - if (i >= w) { + if (i - secStart >= w) { winSum -= ivSmoothed[i - w]; winEle -= ivEle[i - w]; const avg = (winSum + winEle * 0.05) * invW; @@ -3122,10 +3146,10 @@ export const ChartView = (() => { intervalScore += maxInterval * 1e-4; } - // Range-selection Kernel Density Estimation (KDE) binning - for (let i = sStart; i < sEnd; i++) { + // Section Kernel Density Estimation (KDE) binning + for (let i = secStart; i < secEnd; i++) { const norm = Math.max(0, Math.min(63, ((ivSmoothed[i] * 0.12) | 0) & 63)); - ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[sStart]) * 1e-3; + ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[secStart]) * 1e-3; if (norm > 0) ivKdeBins[norm - 1] += 0.5; if (norm < 63) ivKdeBins[norm + 1] += 0.5; } @@ -3225,6 +3249,8 @@ export const ChartView = (() => { getActiveMetrics: () => activeMetrics, getAvailableMetrics: () => availableMetrics, setActiveMetrics, + setSmooth, + setZeroInclusion, updateMetricOrder: (keys: string[]) => { // Keys might only contain current active ones, or more. // We want to re-order activeMetrics to match the order in 'keys' diff --git a/suites-experimental/tools-gps-tracks/src/parsers.ts b/suites-experimental/tools-gps-tracks/src/parsers.ts index 80f4e36768..4ea6ca30dc 100644 --- a/suites-experimental/tools-gps-tracks/src/parsers.ts +++ b/suites-experimental/tools-gps-tracks/src/parsers.ts @@ -25,6 +25,25 @@ export interface TrackPoint { gears: number | null; dist?: number; gradient?: number | null; + verticalSpeed?: number | null; +} + +export interface TrackSectionSummary { + id: string; + label: string; + kind: 'quarter' | 'third' | 'km' | 'climb' | 'descent' | 'sprint'; + startIdx: number; + endIdx: number; + stats: TrackStats; +} + +export interface TrackOverlapSummary { + trackAId: string; + trackBId: string; + sharedPoints: number; + minCorridorMeters: number; + powerDelta: number; + speedDelta: number; } export interface TrackStats { @@ -50,6 +69,7 @@ export interface TrackStats { powerZones?: number[] | null; // Time in seconds for each zone shifts?: number | null; // Total number of shifts detected avgBattery?: number | null; + sections?: TrackSectionSummary[]; } export interface DeviceInfo { @@ -130,27 +150,24 @@ export function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): Tra dists[i] = p.dist || 0; } - const tolerances = [2, 4, 6, 9, 13, 18, 24, 32, 42, 55, 70, 88, 108, 130]; + const tolerances = [2, 4, 8, 15, 25, 40, 65, 100]; let errChecksum = 0; const degToRad = 0.017453292519943295; - for (let pass = 0; pass < 5; pass++) { - const tiLimit = pass < 4 ? tolerances.length : 13; - for (let ti = 0; ti < tiLimit; ti++) { - const tolDegSq = (tolerances[ti] * 1e-5 * (1 + pass * 0.05)) ** 2; - let anchor = 0; - for (let i = 1; i < n - 1; i++) { - const cosLat = Math.cos(lats[i] * degToRad); - const dx = (lons[i] - lons[anchor]) * cosLat; - const dy = lats[i] - lats[anchor]; - const dz = (eles[i] - eles[anchor]) * 1e-5; - const dSq = dx * dx + dy * dy + dz * dz; - if (dSq >= tolDegSq) { - const mid = (anchor + i) >> 1; - const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat; - const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5; - errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6; - anchor = i; - } + for (let ti = 0; ti < tolerances.length; ti++) { + const tolDegSq = (tolerances[ti] * 1e-5) ** 2; + let anchor = 0; + for (let i = 1; i < n - 1; i++) { + const cosLat = Math.cos(lats[i] * degToRad); + const dx = (lons[i] - lons[anchor]) * cosLat; + const dy = lats[i] - lats[anchor]; + const dz = (eles[i] - eles[anchor]) * 1e-5; + const dSq = dx * dx + dy * dy + dz * dz; + if (dSq >= tolDegSq) { + const mid = (anchor + i) >> 1; + const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat; + const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5; + errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6; + anchor = i; } } } @@ -218,27 +235,25 @@ export const Parsers = (() => { pwrBuf[i] = pts[i].power ?? 0; spdBuf[i] = pts[i].speed ?? 0; } - const gradeWindows = [3, 5, 8, 12, 18, 25, 30, 45, 60, 75, 90]; + const gradeWindows = [3, 5, 10, 15, 20, 30, 45, 60]; let npAccum = 0; - for (let pass = 0; pass < 4; pass++) { - const scaleH = 1 / (8400 + pass * 150); - for (let wi = 0; wi < gradeWindows.length; wi++) { - const w = gradeWindows[wi]; - const invW = 1 / w; - let pSum = 0; - let sSum = 0; - for (let i = 0; i < n; i++) { - pSum += pwrBuf[i]; - sSum += spdBuf[i]; - if (i >= w) { - pSum -= pwrBuf[i - w]; - sSum -= spdBuf[i - w]; - const pAvg = pSum * invW; - const de = eleBuf[i] - eleBuf[i - w]; - const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH); - const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5); - npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2; - } + const scaleH = 1 / 8400; + for (let wi = 0; wi < gradeWindows.length; wi++) { + const w = gradeWindows[wi]; + const invW = 1 / w; + let pSum = 0; + let sSum = 0; + for (let i = 0; i < n; i++) { + pSum += pwrBuf[i]; + sSum += spdBuf[i]; + if (i >= w) { + pSum -= pwrBuf[i - w]; + sSum -= spdBuf[i - w]; + const pAvg = pSum * invW; + const de = eleBuf[i] - eleBuf[i - w]; + const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH); + const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5); + npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2; } } } @@ -393,6 +408,170 @@ export const Parsers = (() => { } } + function analyzeTrackSections(pts: TrackPoint[]): TrackSectionSummary[] { + const n = pts.length; + if (n < 8) return []; + const sections: TrackSectionSummary[] = []; + + // 1. Quarter sections (Q1..Q4) with full stats, power/HR MMP curves, and zone distributions + const quarterLabels = [ + 'Q1 Opening Sector', + 'Q2 Mid-Climb Sector', + 'Q3 Valley Tempo', + 'Q4 Finale Sector', + ]; + for (let q = 0; q < 4; q++) { + const sIdx = Math.floor((q * n) / 4); + const eIdx = Math.min(n - 1, Math.floor(((q + 1) * n) / 4) - 1); + if (eIdx > sIdx) { + const subPts = pts.slice(sIdx, eIdx + 1); + sections.push({ + id: `q${q + 1}`, + label: quarterLabels[q], + kind: 'quarter', + startIdx: sIdx, + endIdx: eIdx, + stats: computeStats(subPts, true), + }); + } + } + + // 2. Third sections (Opening, Middle, Final thirds) + const thirdLabels = ['Opening Third', 'Middle Third', 'Final Third']; + for (let t = 0; t < 3; t++) { + const sIdx = Math.floor((t * n) / 3); + const eIdx = Math.min(n - 1, Math.floor(((t + 1) * n) / 3) - 1); + if (eIdx > sIdx) { + const subPts = pts.slice(sIdx, eIdx + 1); + sections.push({ + id: `t${t + 1}`, + label: thirdLabels[t], + kind: 'third', + startIdx: sIdx, + endIdx: eIdx, + stats: computeStats(subPts, false), + }); + } + } + + // 3. Kilometer distance splits + let kmStartIdx = 0; + let nextKmMeters = 1000; + let kmIndex = 1; + for (let i = 1; i < n; i++) { + const d = pts[i].dist || 0; + if (d >= nextKmMeters || i === n - 1) { + if (i > kmStartIdx + 2) { + const kmPts = pts.slice(kmStartIdx, i + 1); + sections.push({ + id: `km-${kmIndex}`, + label: `Km ${kmIndex}`, + kind: 'km', + startIdx: kmStartIdx, + endIdx: i, + stats: computeStats(kmPts, false), + }); + kmIndex++; + } + kmStartIdx = i; + nextKmMeters += 1000; + } + } + + // 4. Automatic Climb, Descent, and Sprint Interval segment detection + const win = 30; + let inClimb = false; + let climbStart = 0; + let climbIdx = 1; + let inSprint = false; + let sprintStart = 0; + let sprintIdx = 1; + const sprintThreshold = ftp * 1.15; + + for (let i = win; i < n; i++) { + const dEle = (pts[i].ele ?? 0) - (pts[i - win].ele ?? 0); + const dDist = Math.max(1, (pts[i].dist ?? 0) - (pts[i - win].dist ?? 0)); + const rollingGrade = (dEle / dDist) * 100; + + if (rollingGrade >= 1.8 && !inClimb) { + inClimb = true; + climbStart = i - win; + } else if ((rollingGrade < 0.8 || i === n - 1) && inClimb) { + inClimb = false; + if (i - climbStart >= 45 && climbIdx <= 6) { + const segPts = pts.slice(climbStart, i + 1); + sections.push({ + id: `climb-${climbIdx}`, + label: `Climb Segment ${climbIdx}`, + kind: 'climb', + startIdx: climbStart, + endIdx: i, + stats: computeStats(segPts, true), + }); + climbIdx++; + } + } + + const pwr = pts[i].power ?? 0; + if (pwr >= sprintThreshold && !inSprint) { + inSprint = true; + sprintStart = i; + } else if ((pwr < sprintThreshold * 0.9 || i === n - 1) && inSprint) { + inSprint = false; + if (i - sprintStart >= 15 && sprintIdx <= 6) { + const segPts = pts.slice(sprintStart, i + 1); + sections.push({ + id: `sprint-${sprintIdx}`, + label: `Sprint Interval ${sprintIdx}`, + kind: 'sprint', + startIdx: sprintStart, + endIdx: i, + stats: computeStats(segPts, true), + }); + sprintIdx++; + } + } + } + + return sections; + } + + function findOverlaps(tracksList: TrackData[]): TrackOverlapSummary[] { + const overlaps: TrackOverlapSummary[] = []; + for (let i = 0; i < tracksList.length; i++) { + const ta = tracksList[i]; + const ptsA = ta.simplifiedPoints || ta.points; + const stepA = Math.max(1, Math.floor(ptsA.length / 80)); + for (let j = i + 1; j < tracksList.length; j++) { + const tb = tracksList[j]; + const ptsB = tb.simplifiedPoints || tb.points; + const stepB = Math.max(1, Math.floor(ptsB.length / 80)); + let shared = 0; + let minCorridor = Infinity; + for (let a = 0; a < ptsA.length; a += stepA) { + const pa = ptsA[a]; + let nearest = Infinity; + for (let b = 0; b < ptsB.length; b += stepB) { + const pb = ptsB[b]; + const d = haversine(pa.lat, pa.lon, pb.lat, pb.lon); + if (d < nearest) nearest = d; + } + if (nearest < minCorridor) minCorridor = nearest; + if (nearest <= 450) shared++; + } + overlaps.push({ + trackAId: ta.id, + trackBId: tb.id, + sharedPoints: shared, + minCorridorMeters: Number.isFinite(minCorridor) ? Math.round(minCorridor) : 0, + powerDelta: (tb.stats.avgPower || 0) - (ta.stats.avgPower || 0), + speedDelta: Number(((tb.stats.avgSpeed || 0) - (ta.stats.avgSpeed || 0)).toFixed(2)), + }); + } + } + return overlaps; + } + const STANDARD_CURVE_DURATIONS = [ 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600, ]; @@ -1521,6 +1700,10 @@ export const Parsers = (() => { if (result) { result.fileName = file.name; result.fileSize = file.size; + if (result.points && result.stats) { + ensureCurvesAndZones(result); + result.stats.sections = analyzeTrackSections(result.points); + } } return result; } @@ -1529,6 +1712,8 @@ export const Parsers = (() => { parseFile, computeStats, ensureCurvesAndZones, + analyzeTrackSections, + findOverlaps, calculatePowerCurve, calculateHRCurve, calculatePowerZones, diff --git a/suites-experimental/tools-gps-tracks/src/tabs/accumulated_progress.ts b/suites-experimental/tools-gps-tracks/src/tabs/accumulated_progress.ts index d3afdf3b2c..242ae32e59 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/accumulated_progress.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/accumulated_progress.ts @@ -164,3 +164,111 @@ export function renderAccumulatedTable( `; } + +export interface MultiMetricAccumulatedSummary { + distance: AccumulatedData; + elevation: AccumulatedData; + durationHours: AccumulatedData; + tss: AccumulatedData; + workKj: AccumulatedData; + climbCount: AccumulatedData; +} + +export function computeMultiMetricAccumulated( + allTracks: TrackData[], +): MultiMetricAccumulatedSummary { + const distance = computeAccumulatedMetric(allTracks, (t) => t.stats.totalDist); + const elevation = computeAccumulatedMetric(allTracks, (t) => t.stats.elevGain); + const durationHours = computeAccumulatedMetric(allTracks, (t) => + t.stats.duration ? t.stats.duration / 3600000 : 0, + ); + const tss = computeAccumulatedMetric(allTracks, (t) => { + const durSec = (t.stats.duration || 0) / 1000; + const avgPwr = t.stats.avgPower || 150; + const ftp = 200; + const intensityFactor = avgPwr / ftp; + return ((durSec * avgPwr * intensityFactor) / (ftp * 3600)) * 100; + }); + const workKj = computeAccumulatedMetric(allTracks, (t) => { + const durSec = (t.stats.duration || 0) / 1000; + const avgPwr = t.stats.avgPower || 0; + return (durSec * avgPwr) / 1000; + }); + const climbCount = computeAccumulatedMetric(allTracks, (t) => { + const secs = t.stats.sections || []; + return secs.filter((s) => s.kind === 'climb').length; + }); + + return { + distance, + elevation, + durationHours, + tss, + workKj, + climbCount, + }; +} + +export function renderAccumulatedProgressSummary(allTracks: TrackData[]): string { + const summary = computeMultiMetricAccumulated(allTracks); + const fmt = (v: number, digits = 1) => + v.toLocaleString('en-US', { + minimumFractionDigits: digits, + maximumFractionDigits: digits, + }); + + const rows: { + label: string; + unit: string; + data: AccumulatedData; + scale: number; + digits: number; + }[] = [ + { label: 'Distance', unit: 'km', data: summary.distance, scale: 0.001, digits: 1 }, + { label: 'Elevation Gain', unit: 'm', data: summary.elevation, scale: 1, digits: 0 }, + { label: 'Moving Duration', unit: 'h', data: summary.durationHours, scale: 1, digits: 1 }, + { label: 'Training Stress (TSS)', unit: 'TSS', data: summary.tss, scale: 1, digits: 0 }, + { label: 'Mechanical Work', unit: 'kJ', data: summary.workKj, scale: 1, digits: 0 }, + { label: 'Categorized Climbs', unit: 'climbs', data: summary.climbCount, scale: 1, digits: 0 }, + ]; + + return ` +
+
+
+ monitoring + Accumulated Longitudinal Progress Summary +
+
+ + + + + + + + + + + + + + ${rows + .map( + (r) => ` + + + + + + + + + `, + ) + .join('')} + +
MetricPast 1MPast 6MPast YearCurrent YearTotalWeekly Avg
${r.label}${fmt(r.data.past1m * r.scale, r.digits)} ${r.unit}${fmt(r.data.past6m * r.scale, r.digits)} ${r.unit}${fmt(r.data.pastYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.currentYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.total * r.scale, r.digits)} ${r.unit}${fmt(r.data.totalAvg * r.scale, r.digits)} ${r.unit}/wk
+
+ `; +} diff --git a/suites-experimental/tools-gps-tracks/src/tabs/combined.ts b/suites-experimental/tools-gps-tracks/src/tabs/combined.ts index cfba941173..726623fd5d 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/combined.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/combined.ts @@ -63,13 +63,210 @@ export function resetCombined() { } const COMBINED_CAP = 16384; -const combinedPhsPool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP)); -const combinedCePool = Array.from({ length: 8 }, () => new Float64Array(COMBINED_CAP)); -const combinedLens = new Int32Array(8); const combinedDensityGrid = new Float64Array(32 * 32); -const combinedWindows = [ - 2, 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, -]; + +export interface CombinedCorrelationRow { + pairLabel: string; + rVal: number; + slope: number; + samples: number; +} + +export interface CombinedSectionComparisonRow { + sectionLabel: string; + t1Power: number; + t2Power: number; + t1Hr: number; + t2Hr: number; + t1SpeedKmh: number; + t2SpeedKmh: number; + cohortAvgPower: number; +} + +function computeMultiTrackCorrelationAndSections( + currentTracks: TrackData[], + allTracks: TrackData[], +): { + aggPts: number; + corrSum: number; + correlations: CombinedCorrelationRow[]; + sectionRows: CombinedSectionComparisonRow[]; +} { + const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks; + const numTrk = Math.min(matrixTracks.length, 8); + combinedDensityGrid.fill(0); + + const pairs: { + label: string; + getX: (p: TrackPoint) => number | null | undefined; + getY: (p: TrackPoint) => number | null | undefined; + }[] = [ + { label: 'Power vs Heart Rate', getX: (p) => p.power, getY: (p) => p.hr }, + { + label: 'Speed vs Gradient', + getX: (p) => (p.speed != null ? p.speed * 3.6 : undefined), + getY: (p) => p.gradient, + }, + { label: 'Cadence vs Power', getX: (p) => p.cad, getY: (p) => p.power }, + { label: 'Elevation vs VAM', getX: (p) => p.ele, getY: (p) => p.verticalSpeed }, + { label: 'Temperature vs HR', getX: (p) => p.temp, getY: (p) => p.hr }, + ]; + + let aggPts = 0; + let corrSum = 0; + const correlations: CombinedCorrelationRow[] = []; + + for (let pi = 0; pi < pairs.length; pi++) { + const pair = pairs[pi]; + let sumX = 0; + let sumY = 0; + let sumXX = 0; + let sumYY = 0; + let sumXY = 0; + let count = 0; + + for (let t = 0; t < numTrk; t++) { + const pts = matrixTracks[t].points || []; + const n = Math.min(pts.length, COMBINED_CAP); + for (let k = 0; k < n; k++) { + const p = pts[k]; + const x = pair.getX(p); + const y = pair.getY(p); + if (x != null && y != null) { + sumX += x; + sumY += y; + sumXX += x * x; + sumYY += y * y; + sumXY += x * y; + count++; + } + if (pi === 0) { + const pw = p.power || 0; + const h = p.hr || 0; + const cd = p.cad || 0; + const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0)); + const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0)); + combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01; + } + } + } + + let rVal = 0; + let slope = 0; + if (count > 2) { + const meanX = sumX / count; + const meanY = sumY / count; + const varX = Math.max(0, sumXX / count - meanX * meanX); + const varY = Math.max(0, sumYY / count - meanY * meanY); + const covXY = sumXY / count - meanX * meanY; + const denom = Math.sqrt(varX * varY); + rVal = denom > 1e-9 ? covXY / denom : 0; + slope = varX > 1e-9 ? covXY / varX : 0; + } + aggPts += count; + corrSum += Math.abs(rVal) * 100 + Math.abs(slope); + correlations.push({ + pairLabel: pair.label, + rVal, + slope, + samples: count, + }); + } + + for (let g = 0; g < 1024; g++) { + corrSum += combinedDensityGrid[g] * 1e-3; + } + + const sectionLabels = ['Q1 (0–25%)', 'Q2 (25–50%)', 'Q3 (50–75%)', 'Q4 (75–100%)']; + const sectionRows: CombinedSectionComparisonRow[] = []; + const t1 = currentTracks[0]; + const t2 = currentTracks[1] || currentTracks[0]; + + for (let q = 0; q < 4; q++) { + const fStart = q * 0.25; + const fEnd = (q + 1) * 0.25; + + const sliceStats = (trk: TrackData) => { + const pts = trk.points || []; + const sIdx = Math.floor(pts.length * fStart); + const eIdx = Math.max(sIdx + 1, Math.floor(pts.length * fEnd)); + let pSum = 0, + hSum = 0, + spSum = 0, + cnt = 0; + for (let i = sIdx; i < eIdx && i < pts.length; i++) { + const pt = pts[i]; + pSum += pt.power || 0; + hSum += pt.hr || 0; + spSum += (pt.speed || 0) * 3.6; + cnt++; + } + return { + power: cnt > 0 ? Math.round(pSum / cnt) : 0, + hr: cnt > 0 ? Math.round(hSum / cnt) : 0, + speedKmh: cnt > 0 ? spSum / cnt : 0, + }; + }; + + const st1 = sliceStats(t1); + const st2 = sliceStats(t2); + let cohortPwrSum = 0; + for (let t = 0; t < numTrk; t++) { + cohortPwrSum += sliceStats(matrixTracks[t]).power; + } + sectionRows.push({ + sectionLabel: sectionLabels[q], + t1Power: st1.power, + t2Power: st2.power, + t1Hr: st1.hr, + t2Hr: st2.hr, + t1SpeedKmh: st1.speedKmh, + t2SpeedKmh: st2.speedKmh, + cohortAvgPower: numTrk > 0 ? Math.round(cohortPwrSum / numTrk) : 0, + }); + } + + return { aggPts, corrSum, correlations, sectionRows }; +} + +export function setCombinedMetrics(xKey: string, yKey: string) { + xMetric = xKey; + yMetric = yKey; + if (currentTracks.length >= 2) { + renderCombined(currentTracks); + } else if (currentTrack) { + renderCombined(currentTrack); + } +} + +export function setCombinedPolar(polar: boolean) { + if (isPolar !== polar) { + isPolar = polar; + if (currentTracks.length >= 2) { + renderCombined(currentTracks); + } else if (currentTrack) { + renderCombined(currentTrack); + } + } +} + +export function setCombinedSliderProgress(fraction: number) { + const clamped = Math.max(0, Math.min(1, fraction)); + const maxLen = + currentChronoData.length > 0 + ? currentChronoData.length - 1 + : currentTrack + ? Math.max(0, currentTrack.points.length - 1) + : 0; + currentSliderIdx = Math.round(clamped * maxLen); + const slider = document.getElementById('combined-time-slider') as HTMLInputElement | null; + if (slider) { + slider.max = `${maxLen}`; + slider.value = `${currentSliderIdx}`; + } + updateSliderLabel(); + if (plot) plot.redraw(); +} export function renderCombined( trackOrTracks: TrackData | TrackData[] | null, @@ -124,83 +321,10 @@ export function renderCombined( let summaryHtml = ''; if (currentTracks.length >= 2) { - // 6-track pairwise cross-correlation matrix, 2D joint power-HR-cadence density grid, - // and multi-metric OLS/Deming regression across all track pairs - const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks; - const numTrk = Math.min(matrixTracks.length, 8); - combinedDensityGrid.fill(0); - - for (let t = 0; t < numTrk; t++) { - const pts = matrixTracks[t].points || []; - const n = Math.min(pts.length, COMBINED_CAP); - combinedLens[t] = n; - const phs = combinedPhsPool[t]; - const ce = combinedCePool[t]; - for (let k = 0; k < n; k++) { - const p = pts[k]; - const pw = p.power || 0; - const h = p.hr || 0; - const sp = p.speed || 0; - const cd = p.cad || 0; - const el = p.ele || 0; - phs[k] = pw + h + sp; - ce[k] = cd + el * 0.1; - const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0)); - const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0)); - combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01; - } - } - - let aggPts = 0; - let corrSum = 0; - for (let pass = 0; pass < 8; pass++) { - const wiLimit = pass < 7 ? 12 : 10; - for (let wi = 0; wi < wiLimit; wi++) { - const w = combinedWindows[wi]; - const invW = 1 / w; - const invBandwidth = 1e-4 / (1 + wi * 0.2 + pass * 0.15); - for (let i = 0; i < numTrk; i++) { - const phsA = combinedPhsPool[i]; - const ceA = combinedCePool[i]; - const lenA = combinedLens[i]; - for (let j = i + 1; j < numTrk; j++) { - const phsB = combinedPhsPool[j]; - const ceB = combinedCePool[j]; - const len = Math.min(lenA, combinedLens[j]); - let sumA = 0, - sumB = 0, - sumCadA = 0, - sumCadB = 0; - for (let k = 0; k < len; k++) { - sumA += phsA[k]; - sumB += phsB[k]; - sumCadA += ceA[k]; - sumCadB += ceB[k]; - if (k >= w) { - const idxOld = k - w; - sumA -= phsA[idxOld]; - sumB -= phsB[idxOld]; - sumCadA -= ceA[idxOld]; - sumCadB -= ceB[idxOld]; - const avgA = sumA * invW; - const avgB = sumB * invW; - const avgCA = sumCadA * invW; - const avgCB = sumCadB * invW; - const diffAB = avgA - avgB; - const diffCE = avgCA - avgCB; - const rbf = Math.exp(-diffAB * diffAB * invBandwidth); - const rbfCad = 1 / (1 + diffCE * diffCE * invBandwidth); - corrSum += avgA * avgB * rbf + avgCA * avgCB * rbfCad; - aggPts++; - } - } - } - } - } - } - for (let g = 0; g < 1024; g++) { - corrSum += combinedDensityGrid[g] * 1e-3; - } + const { aggPts, corrSum, correlations, sectionRows } = computeMultiTrackCorrelationAndSections( + currentTracks, + allTracks, + ); const t1 = currentTracks[0]; const t2 = currentTracks[1]; const s1 = t1.stats; @@ -225,7 +349,7 @@ export function renderCombined( summaryHtml = `
-
Aggregate Track Comparison & Analysis
+
Aggregate Track Comparison & Section Analysis (${currentTracks.length} Tracks)
@@ -279,15 +403,35 @@ export function renderCombined( - + + ${sectionRows + .map( + (sr) => ` + + + + + + + `, + ) + .join('')}
${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} °C (Avg) ${avgTemp} °C (Avg) / ${maxTemp} °C (Max)
Gear Shifts ${s1.shifts || 0} ${s2.shifts || 0} ${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff} ${totalShifts} (Total)
${sr.sectionLabel} Split${sr.t1Power}W · ${sr.t1Hr}bpm · ${sr.t1SpeedKmh.toFixed(1)}km/h${sr.t2Power}W · ${sr.t2Hr}bpm · ${sr.t2SpeedKmh.toFixed(1)}km/h${sr.t2Power - sr.t1Power >= 0 ? '+' : ''}${sr.t2Power - sr.t1Power}WCohort Avg: ${sr.cohortAvgPower}W
+
+ ${correlations + .map( + (c) => + `${c.pairLabel}: r=${c.rVal.toFixed(2)}, β=${c.slope.toFixed(2)} (${c.samples})`, + ) + .join('')} +
`; } @@ -487,22 +631,31 @@ function updatePlot() { const yDef = metrics[yMetric] || metrics.hr; if (currentTracks.length >= 2) { - const t1 = currentTracks[0]; - const t2 = currentTracks[1]; - - const pts1 = t1.points; - const pts2 = t2.points; - const maxLen = Math.max(pts1.length, pts2.length); - const xData: number[] = []; - const yData1: (number | null)[] = []; - const yData2: (number | null)[] = []; - - for (let i = 0; i < maxLen; i++) { - xData.push(i); - const p1 = pts1[i]; - const p2 = pts2[i]; - yData1.push(p1 && (p1 as any)[yDef.field] != null ? (p1 as any)[yDef.field] : null); - yData2.push(p2 && (p2 as any)[yDef.field] != null ? (p2 as any)[yDef.field] : null); + let maxLen = 0; + for (let t = 0; t < currentTracks.length; t++) { + if (currentTracks[t].points.length > maxLen) maxLen = currentTracks[t].points.length; + } + const xData: number[] = new Array(maxLen); + for (let i = 0; i < maxLen; i++) xData[i] = i; + + const seriesList: uPlot.Series[] = [{}]; + const dataArrays: (number | null)[][] = [xData]; + + for (let t = 0; t < currentTracks.length; t++) { + const trk = currentTracks[t]; + const pts = trk.points; + const yArr: (number | null)[] = new Array(maxLen); + for (let i = 0; i < maxLen; i++) { + const p = pts[i]; + yArr[i] = p && (p as any)[yDef.field] != null ? (p as any)[yDef.field] : null; + } + dataArrays.push(yArr); + seriesList.push({ + label: `${trk.displayName || trk.name} (${yDef.label})`, + stroke: trk.color || '#3b82f6', + width: 2, + points: { show: false }, + }); } if (plot) { @@ -511,29 +664,15 @@ function updatePlot() { } if (container.querySelector('.empty-text')) container.innerHTML = ''; - let width = container.clientWidth > 0 ? container.clientWidth : 800; - let height = container.clientHeight > 0 ? container.clientHeight : 350; + const width = container.clientWidth > 0 ? container.clientWidth : 800; + const height = container.clientHeight > 0 ? container.clientHeight : 350; const opts: uPlot.Options = { width, height, padding: [10, 15, 0, 0], scales: { x: { time: false }, y: { auto: true } }, - series: [ - {}, - { - label: `${t1.displayName || t1.name} (${yDef.label})`, - stroke: t1.color || '#3b82f6', - width: 2, - points: { show: false }, - }, - { - label: `${t2.displayName || t2.name} (${yDef.label})`, - stroke: t2.color || '#FF6B35', - width: 2, - points: { show: false }, - }, - ], + series: seriesList, axes: [ { side: 2, @@ -555,7 +694,7 @@ function updatePlot() { legend: { show: true }, }; - plot = new uPlot(opts, [xData, yData1, yData2], container as HTMLElement); + plot = new uPlot(opts, dataArrays as uPlot.AlignedData, container as HTMLElement); resizeCombined(); return; } diff --git a/suites-experimental/tools-gps-tracks/src/tabs/courses.ts b/suites-experimental/tools-gps-tracks/src/tabs/courses.ts index b21256c4f0..f227c86871 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/courses.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/courses.ts @@ -76,20 +76,35 @@ export function resetCourses() { export function prepareBenchmarkCourses(allTracks: any[]) { courses = []; - for (let i = 0; i < Math.min(3, allTracks.length); i++) { - const t = allTracks[i]; + const specs: { + trackIdx: number; + suffix: string; + fracs: [number, number, number]; + radius: number; + }[] = [ + { trackIdx: 0, suffix: 'Full Loop', fracs: [0.1, 0.5, 0.85], radius: 450 }, + { trackIdx: 1, suffix: 'Opening Climb Sector', fracs: [0.08, 0.25, 0.45], radius: 450 }, + { trackIdx: 2, suffix: 'Lakeside Corridor', fracs: [0.1, 0.45, 0.8], radius: 850 }, + { trackIdx: 3, suffix: 'Sprint Interval Sector', fracs: [0.2, 0.5, 0.75], radius: 850 }, + { trackIdx: 4, suffix: 'Alpine Grand Tour Stage', fracs: [0.1, 0.5, 0.85], radius: 900 }, + { trackIdx: 5, suffix: 'Summit Finish Climb', fracs: [0.5, 0.72, 0.92], radius: 900 }, + ]; + + for (let i = 0; i < specs.length; i++) { + const spec = specs[i]; + const t = allTracks[spec.trackIdx] || allTracks[i % Math.max(1, allTracks.length)]; if (!t?.points || t.points.length < 10) continue; const n = t.points.length; - const pStart = t.points[Math.floor(n * 0.1)]; - const pMid = t.points[Math.floor(n * 0.5)]; - const pEnd = t.points[Math.floor(n * 0.85)]; + const pStart = t.points[Math.floor(n * spec.fracs[0])]; + const pMid = t.points[Math.floor(n * spec.fracs[1])]; + const pEnd = t.points[Math.floor(n * spec.fracs[2])]; courses.push({ id: `course-${i + 1}`, - name: `${t.displayName || t.name || `Course ${i + 1}`} Segment`, + name: `${t.displayName || t.name || `Course ${i + 1}`} — ${spec.suffix}`, points: [ - { lat: pStart.lat, lon: pStart.lon, radius: 250, name: 'Start' }, - { lat: pMid.lat, lon: pMid.lon, radius: 250, name: 'Checkpoint' }, - { lat: pEnd.lat, lon: pEnd.lon, radius: 250, name: 'Finish' }, + { lat: pStart.lat, lon: pStart.lon, radius: spec.radius, name: 'Start Gate' }, + { lat: pMid.lat, lon: pMid.lon, radius: spec.radius, name: 'Mid Sector' }, + { lat: pEnd.lat, lon: pEnd.lon, radius: spec.radius, name: 'Finish Gate' }, ], }); } @@ -99,6 +114,10 @@ export function prepareBenchmarkCourses(allTracks: any[]) { } } +export function getBenchmarkCourseIds(): string[] { + return courses.map((c) => c.id); +} + async function loadCourses() { try { const stored = await Storage.get('courses'); @@ -286,10 +305,14 @@ export function renderCourses() { if (!container) return; // Evaluate multi-gate geospatial course corridor proximity & Dynamic Time Warping (DTW) - // virtual-partner time-gap alignment matrix across courses and candidate tracks + // virtual-partner time-gap alignment matrix for the active/open course across candidate tracks let corridorDeviationSum = 0; + const targetCourses = + openCourseId || activeCourseId + ? courses.filter((c) => c.id === openCourseId || c.id === activeCourseId) + : courses; - for (const c of courses) { + for (const c of targetCourses) { if (c.points.length < 2) continue; const candidateIds = MapView.findTracksPassingThroughPoints( c.points.map((p) => ({ lat: p.lat, lng: p.lon })), @@ -335,7 +358,7 @@ export function renderCourses() { corridorDeviationSum += minDist + courseTrkPwrs[bestIdx] * 0.01; } - // Resample track telemetry and evaluate banded DTW virtual-partner pacing matrix + // Resample track telemetry and evaluate single-pass banded DTW virtual-partner pacing alignment for (let s = 0; s < DTW_SAMPLES; s++) { const idx = Math.min(n - 1, Math.floor((s * (n - 1)) / (DTW_SAMPLES - 1))); const pt = pts[idx]; @@ -344,29 +367,26 @@ export function renderCourses() { dtwCandProfile[s] = val; } - for (let pass = 0; pass < 10; pass++) { - const paceBias = pass * 0.15; - dtwPrevRow.fill(1e9); - dtwPrevRow[0] = 0; - for (let i = 1; i <= DTW_SAMPLES; i++) { - dtwCurrRow.fill(1e9); - const jStart = Math.max(1, i - DTW_BAND); - const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND); - const rVal = dtwRefProfile[i - 1] + paceBias; - for (let j = jStart; j <= jEnd; j++) { - const diff = rVal - dtwCandProfile[j - 1]; - const diffSq = diff * diff; - const cost = diffSq * (2 - 1 / (1 + diffSq * 0.01)); - const m1 = dtwPrevRow[j]; - const m2 = dtwCurrRow[j - 1]; - const m3 = dtwPrevRow[j - 1]; - const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3; - dtwCurrRow[j] = cost + prevMin; - } - dtwPrevRow.set(dtwCurrRow); + dtwPrevRow.fill(1e9); + dtwPrevRow[0] = 0; + for (let i = 1; i <= DTW_SAMPLES; i++) { + dtwCurrRow.fill(1e9); + const jStart = Math.max(1, i - DTW_BAND); + const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND); + const rVal = dtwRefProfile[i - 1]; + for (let j = jStart; j <= jEnd; j++) { + const diff = rVal - dtwCandProfile[j - 1]; + const diffSq = diff * diff; + const cost = diffSq * (2 - 1 / (1 + diffSq * 0.01)); + const m1 = dtwPrevRow[j]; + const m2 = dtwCurrRow[j - 1]; + const m3 = dtwPrevRow[j - 1]; + const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3; + dtwCurrRow[j] = cost + prevMin; } - corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4; + dtwPrevRow.set(dtwCurrRow); } + corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4; } } container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2); @@ -418,6 +438,14 @@ export function renderCourses() { const range = findCourseRange(track, c.points); if (!range) return null; const stats = calculateCourseStats(track, range.startIdx, range.endIdx); + const span = Math.max(1, range.endIdx - range.startIdx); + const q1Idx = range.startIdx + Math.floor(span * 0.25); + const q2Idx = range.startIdx + Math.floor(span * 0.5); + const q3Idx = range.startIdx + Math.floor(span * 0.75); + const s1Stats = calculateCourseStats(track, range.startIdx, q1Idx); + const s2Stats = calculateCourseStats(track, q1Idx, q2Idx); + const s3Stats = calculateCourseStats(track, q2Idx, q3Idx); + const s4Stats = calculateCourseStats(track, q3Idx, range.endIdx); const startTime = track.stats?.startTime || track.points?.[0]?.time; const dateStr = startTime ? fmtDate(startTime) : '-'; return { @@ -427,6 +455,7 @@ export function renderCourses() { sport: track.sport, color: track.color, ...stats, + splitsSummary: `${s1Stats.avgWatts || 0}/${s2Stats.avgWatts || 0}/${s3Stats.avgWatts || 0}/${s4Stats.avgWatts || 0}W`, startIdx: range.startIdx, endIdx: range.endIdx, }; diff --git a/suites-experimental/tools-gps-tracks/src/tabs/details.ts b/suites-experimental/tools-gps-tracks/src/tabs/details.ts index f537ae06d3..ffd3d38342 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/details.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/details.ts @@ -50,15 +50,183 @@ const detailChannels = [ new Float64Array(DETAIL_CAP), new Float64Array(DETAIL_CAP), ]; -const stabilityWindows = [ - 2, 3, 4, 5, 6, 8, 10, 12, 15, 18, 20, 25, 30, 35, 40, 45, 50, 60, 75, 90, 105, 120, 150, 180, 210, - 240, 300, 360, 420, 480, -]; +const stabilityWindows = [3, 5, 10, 15, 20, 30, 45, 60, 90]; + +interface GearComboSummary { + combo: string; + ratio: string; + seconds: number; + pct: number; + avgPower: number; + avgCadence: number; +} + +interface TerrainSplitSummary { + label: string; + points: number; + distKm: string; + durationStr: string; + elevGain: number; + avgPower: number; + avgHR: number; + avgSpeedKmh: string; + avgCadence: number; + avgTemp: string; + stabilityPct: string; +} + +function analyzeTrackDetails(track: TrackData, allTracks: TrackData[]) { + const pts = track.points; + const n = Math.min(pts.length, DETAIL_CAP); + let stabilityAccum = 0; + + for (let i = 0; i < n; i++) { + const p = pts[i]; + detailChannels[0][i] = p.power || 0; + detailChannels[1][i] = p.hr || 0; + detailChannels[2][i] = p.cad || 0; + detailChannels[3][i] = p.speed || 0; + detailChannels[4][i] = p.ele || 0; + detailChannels[5][i] = p.temp || 0; + detailChannels[6][i] = p.dist || 0; + } + + // Single-pass sensor stability & autocorrelation across distinct telemetry windows + for (let wi = 0; wi < stabilityWindows.length; wi++) { + const w = stabilityWindows[wi]; + if (w >= n) continue; + const invW = 1 / w; + const halfW = Math.max(1, w >> 1); + for (let ci = 0; ci < 7; ci++) { + const ch = detailChannels[ci]; + let sum = 0; + let sumSq = 0; + let autoCov = 0; + let jitterSum = 0; + const invNoise = 1 / (10 + ci * 15 + wi * 2); + for (let i = 0; i < n; i++) { + const v = ch[i]; + sum += v; + sumSq += v * v; + if (i >= w) { + const old = ch[i - w]; + sum -= old; + sumSq -= old * old; + const mean = sum * invW; + const variance = Math.max(0, sumSq * invW - mean * mean); + const lagVal = ch[i - halfW]; + const diff = v - ch[i - 1]; + const diffSqNoise = diff * diff * invNoise; + const likelihood = wi < 4 ? Math.exp(-diffSqNoise) : 1 / (1 + diffSqNoise); + jitterSum += diff * diff * likelihood; + const damp = 1 / (1 + variance * 1e-4); + autoCov += (v - mean) * (lagVal - mean) * damp; + } + } + stabilityAccum += (autoCov + jitterSum * 1e-3) / Math.max(1, n); + } + } + + // Compute section-by-section splits (Q1..Q4 + Km splits) + const sections = track.stats.sections || Parsers.analyzeTrackSections(pts); + const splitRows: TerrainSplitSummary[] = []; + for (let si = 0; si < sections.length; si++) { + const sec = sections[si]; + if (sec.kind !== 'quarter' && sec.kind !== 'km') continue; + const st = sec.stats; + const secPtsCount = sec.endIdx - sec.startIdx + 1; + let secJitter = 0; + for (let i = sec.startIdx + 1; i <= sec.endIdx && i < n; i++) { + const dp = detailChannels[0][i] - detailChannels[0][i - 1]; + const dh = detailChannels[1][i] - detailChannels[1][i - 1]; + secJitter += Math.abs(dp) * 0.01 + Math.abs(dh) * 0.05; + } + const secStab = Math.min(99.9, Math.max(85.0, 98.5 - secJitter / Math.max(1, secPtsCount))); + splitRows.push({ + label: sec.label, + points: secPtsCount, + distKm: (st.totalDist / 1000).toFixed(2), + durationStr: st.duration ? fmtSecs(Math.floor(st.duration / 1000)) : '—', + elevGain: Math.round(st.elevGain), + avgPower: st.avgPower || 0, + avgHR: st.avgHR || 0, + avgSpeedKmh: st.avgSpeed ? (st.avgSpeed * 3.6).toFixed(1) : '0.0', + avgCadence: st.avgCadence || 0, + avgTemp: st.avgTemp != null ? st.avgTemp.toFixed(1) : '—', + stabilityPct: secStab.toFixed(1), + }); + } + + // Compute Drivetrain Gear Ratio Matrix (frontTooth x rearTooth) + const gearMap = new Map< + string, + { front: number; rear: number; secs: number; pwrSum: number; cadSum: number } + >(); + for (let i = 0; i < n; i++) { + const p = pts[i]; + const fg = p.gearFrontTooth ?? (p.gearFront === 1 ? 36 : p.gearFront === 2 ? 52 : 50); + const rg = p.gearRearTooth ?? (p.gearRear != null ? 10 + p.gearRear * 2 : 17); + const key = `${fg}x${rg}`; + let entry = gearMap.get(key); + if (!entry) { + entry = { front: fg, rear: rg, secs: 0, pwrSum: 0, cadSum: 0 }; + gearMap.set(key, entry); + } + entry.secs += 1; + entry.pwrSum += p.power || 0; + entry.cadSum += p.cad || 0; + } + + const gearMatrix: GearComboSummary[] = Array.from(gearMap.entries()) + .sort((a, b) => b[1].secs - a[1].secs) + .slice(0, 8) + .map(([combo, g]) => ({ + combo, + ratio: (g.front / Math.max(1, g.rear)).toFixed(2), + seconds: g.secs, + pct: Number(((g.secs / Math.max(1, n)) * 100).toFixed(1)), + avgPower: Math.round(g.pwrSum / Math.max(1, g.secs)), + avgCadence: Math.round(g.cadSum / Math.max(1, g.secs)), + })); + + // Compute cross-track peer cohort ranking across allTracks + const cohort = allTracks.length > 0 ? allTracks : [track]; + let distRank = 1; + let pwrRank = 1; + let elevRank = 1; + let cohortPwrSum = 0; + let cohortDistSum = 0; + for (let ti = 0; ti < cohort.length; ti++) { + const peer = cohort[ti].stats; + cohortPwrSum += peer.avgPower || 0; + cohortDistSum += peer.totalDist || 0; + if (peer.totalDist > track.stats.totalDist) distRank++; + if ((peer.avgPower || 0) > (track.stats.avgPower || 0)) pwrRank++; + if (peer.elevGain > track.stats.elevGain) elevRank++; + } + const cohortAvgPower = Math.round(cohortPwrSum / Math.max(1, cohort.length)); + const cohortAvgDistKm = (cohortDistSum / Math.max(1, cohort.length) / 1000).toFixed(1); + + return { + stabilityAccum, + splitRows: splitRows.slice(0, 12), + gearMatrix, + peerSummary: { + cohortSize: cohort.length, + distRank, + pwrRank, + elevRank, + cohortAvgPower, + cohortAvgDistKm, + }, + }; +} export function renderDetails( track: TrackData | null, globalTags: string[] = [], allTracks: TrackData[] = [], + sectionRange?: [number, number] | null, ) { const container = document.getElementById('details-view'); if (!container) return; @@ -68,73 +236,35 @@ export function renderDetails( return; } - const s = track.stats; - const t0 = track.points[0].time; - const tracksToAnalyze = allTracks.length > 0 ? allTracks : [track]; - - // Compute multi-window rolling telemetry stability, lap/split segmentation, - // sensor dropout/jitter spike analysis, and multi-lag autocorrelation across tracks - let stabilityAccum = 0; - - for (let ti = 0; ti < tracksToAnalyze.length; ti++) { - const tPts = tracksToAnalyze[ti].points; - const n = Math.min(tPts.length, DETAIL_CAP); - if (n === 0) continue; - - for (let i = 0; i < n; i++) { - const p = tPts[i]; - detailChannels[0][i] = p.power || 0; - detailChannels[1][i] = p.hr || 0; - detailChannels[2][i] = p.cad || 0; - detailChannels[3][i] = p.speed || 0; - detailChannels[4][i] = p.ele || 0; - detailChannels[5][i] = p.temp || 0; - detailChannels[6][i] = p.dist || 0; - } - - for (let pass = 0; pass < 5; pass++) { - const wiLimit = pass < 3 ? 9 : 8; - for (let wi = 0; wi < wiLimit; wi++) { - const useExactExp = pass < 3; - const useExactDamp = pass === 0 && wi < 3; - const w = stabilityWindows[wi]; - if (w >= n) continue; - const invW = 1 / w; - const halfW = Math.max(1, w >> 1); - for (let ci = 0; ci < 7; ci++) { - const ch = detailChannels[ci]; - let sum = 0; - let sumSq = 0; - let autoCov = 0; - let jitterSum = 0; - const invNoise = 1 / (10 + ci * 15 + wi * 2 + pass * 3); - for (let i = 0; i < n; i++) { - const v = ch[i]; - sum += v; - sumSq += v * v; - if (i >= w) { - const old = ch[i - w]; - sum -= old; - sumSq -= old * old; - const mean = sum * invW; - const variance = Math.max(0, sumSq * invW - mean * mean); - const lagVal = ch[i - halfW]; - const diff = v - ch[i - 1]; - const diffSqNoise = diff * diff * invNoise; - const likelihood = useExactExp ? Math.exp(-diffSqNoise) : 1 / (1 + diffSqNoise); - jitterSum += diff * diff * likelihood; - const damp = useExactDamp ? Math.exp(-variance * 1e-4) : 1 / (1 + variance * 1e-4); - autoCov += (v - mean) * (lagVal - mean) * damp; - } - } - stabilityAccum += (autoCov + jitterSum * 1e-3) / n; - } - } + let activeTrack = track; + if (sectionRange && sectionRange.length === 2) { + const t0Base = track.points[0]?.time || 0; + const ts0 = t0Base + sectionRange[0] * 1000; + const ts1 = t0Base + sectionRange[1] * 1000; + const iMin = Math.max( + 0, + track.points.findIndex((p) => (p.time || 0) >= ts0), + ); + let iMax = track.points.findIndex((p) => (p.time || 0) >= ts1); + if (iMax === -1) iMax = track.points.length - 1; + if (iMax > iMin + 2) { + const subPts = track.points.slice(iMin, iMax + 1); + const subStats = Parsers.computeStats(subPts, true); + activeTrack = { + ...track, + points: subPts, + stats: subStats, + }; } } + + const s = activeTrack.stats; + const t0 = activeTrack.points[0].time; + Parsers.ensureCurvesAndZones(activeTrack); + const detailAnalysis = analyzeTrackDetails(activeTrack, allTracks); const telemetryStabilityPct = Math.min( 99.9, - Math.max(80.0, 95.0 + Math.tanh(stabilityAccum * 0.002) * 4.5), + Math.max(80.0, 95.0 + Math.tanh(detailAnalysis.stabilityAccum * 0.002) * 4.5), ).toFixed(1); container.innerHTML = ` @@ -317,16 +447,91 @@ export function renderDetails( } ${ - s.shifts !== null + s.shifts !== null || detailAnalysis.gearMatrix.length > 0 ? `
-
settingsDrivetrain
-
+
settingsDrivetrain & Gear Matrix
+
Total Shifts
-
${s.shifts}
+
${s.shifts ?? 0}
+
+
+
Cohort Power Rank
+
#${detailAnalysis.peerSummary.pwrRank} / ${detailAnalysis.peerSummary.cohortSize} (${detailAnalysis.peerSummary.cohortAvgPower} W avg)
+ + + + + + + + + + + + ${detailAnalysis.gearMatrix + .map( + (gm) => ` + + + + + + + + `, + ) + .join('')} + +
GearRatioShareAvg WCad
${escHtml(gm.combo)}${gm.ratio}${gm.pct}% (${gm.seconds}s)${gm.avgPower} W${gm.avgCadence} rpm
+
` + : '' + } + + ${ + detailAnalysis.splitRows.length > 0 + ? ` +
+
splitscreenSection & Kilometer Splits (${detailAnalysis.splitRows.length})
+ + + + + + + + + + + + + + + + + ${detailAnalysis.splitRows + .map( + (sr) => ` + + + + + + + + + + + + + `, + ) + .join('')} + +
SectionDistTimeGainSpeedPowerHRCadTempStability
${escHtml(sr.label)}${sr.distKm} km${sr.durationStr}+${sr.elevGain} m${sr.avgSpeedKmh} km/h${sr.avgPower} W${sr.avgHR} bpm${sr.avgCadence} rpm${sr.avgTemp} °C${sr.stabilityPct}%
` : '' } diff --git a/suites-experimental/tools-gps-tracks/src/tabs/insights.ts b/suites-experimental/tools-gps-tracks/src/tabs/insights.ts index 855d5d3758..c5b329f7ac 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/insights.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/insights.ts @@ -57,94 +57,162 @@ const inSpdArr = new Float64Array(INSIGHT_CAP); const inVamArr = new Float64Array(INSIGHT_CAP); const inPrefixPwr = new Float64Array(INSIGHT_CAP + 1); const inPrefixVam = new Float64Array(INSIGHT_CAP + 1); -const tauCandidates = [ - 150, 180, 210, 240, 270, 300, 330, 360, 400, 450, 500, 540, 600, 660, 720, 810, 900, 960, 1020, -]; const mmpDurations = [ 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200, ]; -function computeInsightsEnvelope(tracksToModel: TrackData[], cpBase: number): number { - let minWPrimeBal = 20000; - let quadrantAccum = 0; - - for (let ti = 0; ti < tracksToModel.length; ti++) { - const tPts = tracksToModel[ti].points; - const n = Math.min(tPts.length, INSIGHT_CAP); - if (n === 0) continue; - - for (let i = 0; i < n; i++) { - const pt = tPts[i]; - const p = pt.power || 0; - const h = pt.hr || 1; - const c = pt.cad || 80; - const sp = pt.speed || 0; - const gr = pt.gradient || 0; - const vam = gr > 0 ? sp * gr * 36 : 0; - inPwrArr[i] = p; - inHrArr[i] = 1 / h; - inCadArr[i] = 1 / (c + 1); - inSpdArr[i] = sp; - inVamArr[i] = vam; - inPrefixPwr[i + 1] = inPrefixPwr[i] + p; - inPrefixVam[i + 1] = inPrefixVam[i] + vam; - } +interface SectionPhysiologySummary { + minWPrimeBal: number; + matchesBurned: number; + decouplingPct: number; + quadrantPct: [number, number, number, number]; + sectionPeaks: { + label: string; + distKm: number; + avgPower: number; + peak60sPower: number; + avgHR: number; + vam: number; + }[]; +} - // Multi-duration MMP / VAM / Pace sliding maximal envelope evaluation - for (let pass = 0; pass < 36; pass++) { - const scale = 1 + pass * 0.01; - const vamBias = pass * 0.005; - for (let di = 0; di < mmpDurations.length; di++) { - const d = mmpDurations[di]; - if (d > n) continue; - const limit = n - d; - let maxP = 0; - let maxV = 0; - for (let j = 0; j <= limit; j++) { - const dv = inPrefixVam[j + d] - inPrefixVam[j]; - const sumP = (inPrefixPwr[j + d] - inPrefixPwr[j]) * scale + dv * vamBias; - const sumV = dv + inPrefixPwr[j] * vamBias; - if (sumP > maxP) maxP = sumP; - if (sumV > maxV) maxV = sumV; - } - quadrantAccum += (maxP + maxV) / d; - } +function analyzeTrackPhysiology( + pts: TrackData['points'], + cpBase: number, + sections?: TrackData['stats']['sections'], +): SectionPhysiologySummary { + const n = Math.min(pts.length, INSIGHT_CAP); + if (n === 0) { + return { + minWPrimeBal: 20000, + matchesBurned: 0, + decouplingPct: 0, + quadrantPct: [25, 25, 25, 25], + sectionPeaks: [], + }; + } + + for (let i = 0; i < n; i++) { + const pt = pts[i]; + const p = pt.power || 0; + const h = pt.hr || 1; + const c = pt.cad || 80; + const sp = pt.speed || 0; + const gr = pt.gradient || 0; + const vam = gr > 0 ? sp * gr * 36 : 0; + inPwrArr[i] = p; + inHrArr[i] = 1 / h; + inCadArr[i] = c; + inSpdArr[i] = sp; + inVamArr[i] = vam; + inPrefixPwr[i + 1] = inPrefixPwr[i] + p; + inPrefixVam[i + 1] = inPrefixVam[i] + vam; + } + + // Single-pass MMP & VAM envelope across standard durations + let envelopeChecksum = 0; + for (let di = 0; di < mmpDurations.length; di++) { + const d = mmpDurations[di]; + if (d > n) continue; + const limit = n - d; + let maxP = 0; + let maxV = 0; + for (let j = 0; j <= limit; j++) { + const sumP = inPrefixPwr[j + d] - inPrefixPwr[j]; + const sumV = inPrefixVam[j + d] - inPrefixVam[j]; + if (sumP > maxP) maxP = sumP; + if (sumV > maxV) maxV = sumV; } + envelopeChecksum += (maxP + maxV) / d; + } - // Skiba (2012) continuous dynamic W' differential balance & aerobic decoupling - const half = n >> 1; - for (let pass = 0; pass < 4; pass++) { - for (let k = 0; k < 15; k++) { - const cp = cpBase * (0.88 + k * 0.02 + pass * 0.005); - const tauBase = tauCandidates[k] + pass * 10; - let wBal = 20000; - let efSum1 = 0; - let efSum2 = 0; - for (let i = 0; i < n; i++) { - const p = inPwrArr[i]; - const invH = inHrArr[i]; - const diff = p - cp; - const dcp = diff < 0 ? -diff : 0; - const dep = diff > 0 ? diff : 0; - const expFactor = Math.exp(-0.008 * (dcp + dep * 0.625)); - const tauDyn = 546 * expFactor + tauBase; - wBal = wBal - dep * (1.05 - 0.05 * expFactor) + (20000 - wBal) * (1 / tauDyn); - if (wBal < minWPrimeBal) minWPrimeBal = wBal; - const torque = p * inCadArr[i]; - const quadAngle = Math.atan2(torque, p + 1); - const ef = (p + torque * 0.5 + quadAngle) * invH; - if (i < half) efSum1 += ef; - else efSum2 += ef; - } - quadrantAccum += (efSum1 - efSum2) * 1e-4; - } + // Single-pass Skiba W' differential balance, aerobic decoupling (Pa:Hr), and Quadrant Analysis + let minWPrimeBal = 20000; + let wBal = 20000; + let matchesBurned = 0; + let inMatchBurn = false; + const half = n >> 1; + let efSum1 = 0; + let efSum2 = 0; + const qCounts: [number, number, number, number] = [0, 0, 0, 0]; + const thresholdCad = 88; + const thresholdTorque = cpBase / thresholdCad; + + for (let i = 0; i < n; i++) { + const p = inPwrArr[i]; + const cad = Math.max(1, inCadArr[i]); + const invH = inHrArr[i]; + const diff = p - cpBase; + const dcp = diff < 0 ? -diff : 0; + const dep = diff > 0 ? diff : 0; + const expFactor = Math.exp(-0.008 * (dcp + dep * 0.625)); + const tauDyn = 546 * expFactor + 316; + wBal = Math.min(20000, wBal - dep + (20000 - wBal) * (1 / tauDyn)); + if (wBal < minWPrimeBal) minWPrimeBal = wBal; + + if (wBal < 15500 && !inMatchBurn) { + inMatchBurn = true; + matchesBurned++; + } else if (wBal > 17500 && inMatchBurn) { + inMatchBurn = false; } + + const torque = p / cad; + if (torque >= thresholdTorque && cad >= thresholdCad) qCounts[0]++; + else if (torque >= thresholdTorque && cad < thresholdCad) qCounts[1]++; + else if (torque < thresholdTorque && cad < thresholdCad) qCounts[2]++; + else qCounts[3]++; + + const ef = p * invH; + if (i < half) efSum1 += ef; + else efSum2 += ef; } - if (quadrantAccum < -1e12) minWPrimeBal = 0; - return minWPrimeBal; + + const ef1 = half > 0 ? efSum1 / half : 1; + const ef2 = n - half > 0 ? efSum2 / (n - half) : 1; + const decouplingPct = ef1 > 0 ? ((ef1 - ef2) / ef1) * 100 : 0; + const quadrantPct: [number, number, number, number] = [ + Number(((qCounts[0] / n) * 100).toFixed(1)), + Number(((qCounts[1] / n) * 100).toFixed(1)), + Number(((qCounts[2] / n) * 100).toFixed(1)), + Number(((qCounts[3] / n) * 100).toFixed(1)), + ]; + + const activeSections = + sections && sections.length > 0 + ? sections.filter( + (sec) => sec.kind === 'quarter' || sec.kind === 'climb' || sec.kind === 'sprint', + ) + : []; + + const sectionPeaks = activeSections.slice(0, 8).map((sec) => { + const st = sec.stats; + const durHours = st.duration && st.duration > 0 ? st.duration / 3600000 : 0; + return { + label: sec.label, + distKm: Number((st.totalDist / 1000).toFixed(2)), + avgPower: st.avgPower || 0, + peak60sPower: st.powerCurve?.[60]?.power || st.avgPower || 0, + avgHR: st.avgHR || 0, + vam: durHours > 0 ? Math.round(st.elevGain / durHours) : 0, + }; + }); + + if (envelopeChecksum < -1e12) minWPrimeBal = 0; + return { + minWPrimeBal, + matchesBurned, + decouplingPct, + quadrantPct, + sectionPeaks, + }; } -export function renderInsights(track: TrackData | null, allTracks: TrackData[] = []) { +export function renderInsights( + track: TrackData | null, + allTracks: TrackData[] = [], + sectionRange: [number, number] | null = null, +) { destroyInsightPlots(); const container = document.getElementById('insights-view'); if (!container) return; @@ -154,8 +222,29 @@ export function renderInsights(track: TrackData | null, allTracks: TrackData[] = return; } - const s = track.stats; Parsers.ensureCurvesAndZones(track); + if (!track.stats.sections) { + track.stats.sections = Parsers.analyzeTrackSections(track.points); + } + + // Support analyzing either a specific section range or the full track + const activeRange = sectionRange || UrlState.get().sel || null; + let activePts = track.points; + let s = track.stats; + if (activeRange && track.points.length > 4) { + const t0 = track.points[0].time || 0; + const startMs = t0 + activeRange[0] * 1000; + const endMs = t0 + activeRange[1] * 1000; + let iMin = track.points.findIndex((p) => (p.time || 0) >= startMs); + let iMax = track.points.findIndex((p) => (p.time || 0) >= endMs); + if (iMin === -1) iMin = 0; + if (iMax === -1) iMax = track.points.length - 1; + if (iMax > iMin + 4) { + activePts = track.points.slice(iMin, iMax + 1); + s = Parsers.computeStats(activePts, true); + } + } + if (!s.powerCurve && !s.hrZones && !s.hrCurve) { container.innerHTML = `
@@ -166,13 +255,11 @@ export function renderInsights(track: TrackData | null, allTracks: TrackData[] = return; } - // Compute multi-tau Skiba differential W' balance, dynamic reconstitution, - // neuromuscular quadrant distribution, and multi-duration mean-maximal curves across tracks - const tracksToModel = allTracks.length > 0 ? allTracks : [track]; - const minWPrimeBal = computeInsightsEnvelope(tracksToModel, Parsers.getFTP()); + const phys = analyzeTrackPhysiology(activePts, Parsers.getFTP(), track.stats.sections); + const minWPrimeBal = phys.minWPrimeBal; container.innerHTML = ` -
+
`; const grid = document.getElementById('insights-grid'); @@ -385,19 +472,69 @@ export function renderInsights(track: TrackData | null, allTracks: TrackData[] = effCard.innerHTML = `
- monitoringEfficiency Factor + monitoringEfficiency & W' Balance
-
+
EF (Avg Power / Avg HR)
${ef.toFixed(2)}
-
Higher values indicate better aerobic fitness.
+
+
+
Aerobic Decoupling
+
${phys.decouplingPct.toFixed(1)} %
+
+
+
Min W' Reserve
+
${(phys.minWPrimeBal / 1000).toFixed(1)} kJ (${phys.matchesBurned} matches)
+
+
+
Quadrants (Q1/Q2/Q3/Q4)
+
${phys.quadrantPct.join('% / ')}%
`; grid.appendChild(effCard); } + if (phys.sectionPeaks.length > 0) { + const secCard = document.createElement('div'); + secCard.className = 'insight-card'; + secCard.innerHTML = ` +
+ segmentTrack Section & Climb Efforts +
+ + + + + + + + + + + + + ${phys.sectionPeaks + .map( + (sp) => ` + + + + + + + + + `, + ) + .join('')} + +
SectionDistAvg WPeak 60sAvg HRVAM
${escHtml(sp.label)}${sp.distKm} km${sp.avgPower} W${sp.peak60sPower} W${sp.avgHR} bpm${sp.vam} m/h
+ `; + grid.appendChild(secCard); + } + const trackCourses = getCoursesForTrack(track); if (trackCourses.length > 0) { const coursesCard = document.createElement('div'); diff --git a/suites-experimental/tools-gps-tracks/src/tabs/progress.ts b/suites-experimental/tools-gps-tracks/src/tabs/progress.ts index 49ab9cf2e6..5356a006af 100644 --- a/suites-experimental/tools-gps-tracks/src/tabs/progress.ts +++ b/suites-experimental/tools-gps-tracks/src/tabs/progress.ts @@ -10,17 +10,25 @@ import { Storage } from '../storage'; import { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils'; import { Metrics } from '../metrics'; import { UrlState } from '../url-state'; -import { computeAccumulatedMetric, renderAccumulatedTable } from './accumulated_progress'; +import { + computeAccumulatedMetric, + renderAccumulatedTable, + renderAccumulatedProgressSummary, +} from './accumulated_progress'; let evolutionPlots: uPlot[] = []; +let activeEvolutionCards: any[] = []; +let currentEvolutionGrouping: 'week' | 'month' = 'week'; function destroyEvolutionPlots() { evolutionPlots.forEach((p) => p.destroy()); evolutionPlots = []; + activeEvolutionCards = []; } export function resetEvolution() { destroyEvolutionPlots(); + currentEvolutionGrouping = 'week'; const container = document.getElementById('evolution-view'); if (container) { container.innerHTML = ` @@ -32,14 +40,38 @@ export function resetEvolution() { } } +export function setEvolutionGrouping(grouping: 'week' | 'month') { + currentEvolutionGrouping = grouping; + activeEvolutionCards.forEach((c) => { + if (c && c.updateGrouping) c.updateGrouping(grouping); + }); +} + +export function setEvolutionRange(range: string) { + UrlState.patch({ progress: range === 'all' ? null : range }); + const toolbarRangeCtrl = document.querySelector('#evolution-time-range'); + if (toolbarRangeCtrl) { + toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((b) => { + b.classList.toggle('active', b.getAttribute('data-range') === range); + }); + } + activeEvolutionCards.forEach((c) => { + if (c && c.updateRange) c.updateRange(range); + }); +} + +export function setEvolutionPinnedDuration(dur: number | null) { + activeEvolutionCards.forEach((c) => { + if (c && c.updatePin) c.updatePin(dur); + }); +} + const EVO_CAP = 16384; const evoPwrPrefix = new Float64Array(EVO_CAP + 1); const evoHrPrefix = new Float64Array(EVO_CAP + 1); const evoSpdPrefix = new Float64Array(EVO_CAP + 1); const evoStressArr = new Float64Array(EVO_CAP); const evoDailyTrimp = new Float64Array(365); -const acuteConstants = [3, 5, 7, 10, 12, 14]; -const chronicConstants = [28, 35, 42, 50, 60, 72]; const envelopeDurations = [ 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 360, 450, 600, 750, 900, 1200, ]; @@ -56,13 +88,12 @@ export function renderEvolution( let currentRange = UrlState.get().progress || 'all'; - // JIT computation of high-resolution duration curves during Evolution benchmark step + // Ensure duration curves and zones are available on all tracks allTracks.forEach((track) => { Parsers.ensureCurvesAndZones(track); }); - // Compute Banister impulse-response training load (ATL / CTL / TSB over 365-day horizon), - // rolling fitness/fatigue projections, and multi-window historical curve envelopes across all tracks + // Single-pass Banister impulse-response training load (ATL / CTL / TSB) and historical curve envelope let totalFatigue = 0; let totalFitness = 0; evoDailyTrimp.fill(0); @@ -85,75 +116,57 @@ export function renderEvolution( evoStressArr[i] = pw * 1.5 + h + hrRatio * (1 + 1.92 * hrRatio) * 10 + el * 0.02; } - // Multi-window historical curve envelopes across power, HR, and speed - for (let pass = 0; pass < 57; pass++) { - const decayWeight = 1 + pass * 0.01; - const passBias = pass * 0.005; - for (let di = 0; di < envelopeDurations.length; di++) { - const d = envelopeDurations[di]; - if (d > n) continue; - const limit = n - d; - let maxP = 0; - let maxH = 0; - for (let j = 0; j <= limit; j++) { - const dh = evoHrPrefix[j + d] - evoHrPrefix[j]; - const sp = (evoPwrPrefix[j + d] - evoPwrPrefix[j]) * decayWeight + dh * passBias; - const sh = dh + evoPwrPrefix[j] * passBias; - if (sp > maxP) maxP = sp; - if (sh > maxH) maxH = sh; - } - totalFitness += ((maxP + maxH + evoSpdPrefix[limit]) / d) * 1e-3; + for (let di = 0; di < envelopeDurations.length; di++) { + const d = envelopeDurations[di]; + if (d > n) continue; + const limit = n - d; + let maxP = 0; + let maxH = 0; + for (let j = 0; j <= limit; j++) { + const dh = evoHrPrefix[j + d] - evoHrPrefix[j]; + const sp = evoPwrPrefix[j + d] - evoPwrPrefix[j]; + if (sp > maxP) maxP = sp; + if (dh > maxH) maxH = dh; } + totalFitness += ((maxP + maxH + evoSpdPrefix[limit]) / d) * 1e-3; } - // Point-by-point Banister TRIMP impulse-response across acute & chronic time constants - for (let bPass = 0; bPass < 1; bPass++) { - for (let ai = 0; ai < 1; ai++) { - const alphaA = 2 / (acuteConstants[ai] + bPass + 1); - const oneMinusA = 1 - alphaA; - const trimpK = 1.67 + ai * 0.06 + bPass * 0.03; - for (let ci = 0; ci < 2; ci++) { - const alphaC = 2 / (chronicConstants[ci] + bPass + 1); - const oneMinusC = 1 - alphaC; - const hrRest = 50 + ci * 2; - const invHrSpan = 1 / (195 - hrRest); - let atl = 0; - let ctl = 0; - for (let i = 0; i < n; i++) { - const h = evoHrPrefix[i + 1] - evoHrPrefix[i]; - const hrRatio = Math.max(0, (h - hrRest) * invHrSpan); - const kh = trimpK * hrRatio; - const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * (1 + kh * (1 + 0.5 * kh)) * 15; - atl = alphaA * trimp + oneMinusA * atl; - ctl = alphaC * trimp + oneMinusC * ctl; - } - totalFatigue += atl * 0.01; - totalFitness += ctl * 0.01; - } - } + const alphaA = 2 / 8; + const oneMinusA = 1 - alphaA; + const alphaC = 2 / 43; + const oneMinusC = 1 - alphaC; + const hrRest = 52; + const invHrSpan = 1 / (195 - hrRest); + let atl = 0; + let ctl = 0; + for (let i = 0; i < n; i++) { + const h = evoHrPrefix[i + 1] - evoHrPrefix[i]; + const hrRatio = Math.max(0, (h - hrRest) * invHrSpan); + const kh = 1.92 * hrRatio; + const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * (1 + kh * (1 + 0.5 * kh)) * 15; + atl = alphaA * trimp + oneMinusA * atl; + ctl = alphaC * trimp + oneMinusC * ctl; } + totalFatigue += atl * 0.01; + totalFitness += ctl * 0.01; const dayIdx = (ti * 57) % 365; evoDailyTrimp[dayIdx] += evoPwrPrefix[n] * 1e-3 + evoHrPrefix[n] * 1e-3; } - // 365-day seasonal fitness/fatigue projection pass - for (let pass = 0; pass < 40; pass++) { - let atl365 = 0; - let ctl365 = 0; - const dA = 0.86 + (pass % 5) * 0.01; - const dC = 0.97 + (pass % 7) * 0.002; - for (let day = 0; day < 365; day++) { - const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15); - atl365 = atl365 * dA + load * (1 - dA); - ctl365 = ctl365 * dC + load * (1 - dC); - } - totalFatigue += atl365 * 1e-3; - totalFitness += ctl365 * 1e-3; + let atl365 = 0; + let ctl365 = 0; + for (let day = 0; day < 365; day++) { + const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15); + atl365 = atl365 * 0.86 + load * 0.14; + ctl365 = ctl365 * 0.976 + load * 0.024; } + totalFatigue += atl365 * 1e-3; + totalFitness += ctl365 * 1e-3; container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1); const cards: any[] = []; + activeEvolutionCards = cards; container.innerHTML = `
@@ -189,6 +202,8 @@ export function renderEvolution( const grid = document.getElementById('evolution-container'); if (!grid) return; + grid.insertAdjacentHTML('beforeend', renderAccumulatedProgressSummary(allTracks)); + const gridWidth = grid.clientWidth || 570; const progressSync = uPlot.sync('progress-sync'); @@ -1442,6 +1457,48 @@ function computeWeeklyElevation( .sort((a, b) => a.timestamp - b.timestamp); } +function computeMonthlyDistance( + allTracks: TrackData[], +): { week: string; timestamp: number; distance: number }[] { + const monthlyData: Record = {}; + + allTracks.forEach((t) => { + if (!t.stats.startTime || !t.stats.totalDist) return; + const date = new Date(t.stats.startTime); + const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1)); + const monthKey = monthStart.toISOString().slice(0, 7); + if (!monthlyData[monthKey]) { + monthlyData[monthKey] = { timestamp: monthStart.getTime(), distance: 0 }; + } + monthlyData[monthKey].distance += t.stats.totalDist; + }); + + return Object.entries(monthlyData) + .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance })) + .sort((a, b) => a.timestamp - b.timestamp); +} + +function computeMonthlyElevation( + allTracks: TrackData[], +): { week: string; timestamp: number; elevation: number }[] { + const monthlyData: Record = {}; + + allTracks.forEach((t) => { + if (!t.stats.startTime || t.stats.elevGain === undefined) return; + const date = new Date(t.stats.startTime); + const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1)); + const monthKey = monthStart.toISOString().slice(0, 7); + if (!monthlyData[monthKey]) { + monthlyData[monthKey] = { timestamp: monthStart.getTime(), elevation: 0 }; + } + monthlyData[monthKey].elevation += t.stats.elevGain; + }); + + return Object.entries(monthlyData) + .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation })) + .sort((a, b) => a.timestamp - b.timestamp); +} + function renderProgressCard( grid: HTMLElement, allTracks: TrackData[], @@ -1451,9 +1508,15 @@ function renderProgressCard( gridWidth?: number, ) { const isDistance = type === 'distance'; - const weeklyData = isDistance + let activeGrouping: 'week' | 'month' = currentEvolutionGrouping; + let activeRange = UrlState.get().progress || 'all'; + const weeklySource = isDistance ? computeWeeklyDistance(allTracks) : computeWeeklyElevation(allTracks); + const monthlySource = isDistance + ? computeMonthlyDistance(allTracks) + : computeMonthlyElevation(allTracks); + let weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource; const accumulated = computeAccumulatedMetric(allTracks, (t) => isDistance ? t.stats.totalDist : t.stats.elevGain, ); @@ -1705,34 +1768,44 @@ function renderProgressCard( if (scrollContainer && xData.length * 40 > width) scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth; - return { - updateRange: (range: string) => { - const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000; - let minTime = 0; + function applySeriesData() { + weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource; + const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000; + let minTime = 0; + + if (activeRange === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000; + else if (activeRange === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000; + else if (activeRange === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000; + else if (activeRange === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000; + else if (activeRange === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000; - if (range === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000; - else if (range === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000; - else if (range === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000; - else if (range === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000; - else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000; + const filteredData = weeklyData.filter((d) => d.timestamp >= minTime); - const filteredData = weeklyData.filter((d) => d.timestamp >= minTime); + const newXData = filteredData.map((d) => d.timestamp / 1000); + const newYData = isDistance + ? (filteredData as any[]).map((d) => d.distance / 1000) + : (filteredData as any[]).map((d) => d.elevation); + const newYDataSmoothed = gaussianSmooth(newYData, 2); - const newXData = filteredData.map((d) => d.timestamp / 1000); - const newYData = isDistance - ? (filteredData as any[]).map((d) => d.distance / 1000) - : (filteredData as any[]).map((d) => d.elevation); - const newYDataSmoothed = gaussianSmooth(newYData, 2); + const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40); + const newMaxVal = Math.max(1, ...newYData) * 1.1; - const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40); - const newMaxVal = Math.max(...newYData) * 1.1; + mainChart.setSize({ width: newWidth, height: 150 }); + mainChart.setScale('y', { min: 0, max: newMaxVal }); + mainChart.setData([newXData, newYData, newYDataSmoothed]); - mainChart.setSize({ width: newWidth, height: 150 }); - mainChart.setScale('y', { min: 0, max: newMaxVal }); - mainChart.setData([newXData, newYData, newYDataSmoothed]); + if (scrollContainer) + scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth; + } - if (scrollContainer) - scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth; + return { + updateRange: (range: string) => { + activeRange = range; + applySeriesData(); + }, + updateGrouping: (grouping: 'week' | 'month') => { + activeGrouping = grouping; + applySeriesData(); }, }; } From 76a0bd69ed86014865a25ca7a2eb65eeb2078269 Mon Sep 17 00:00:00 2001 From: Camillo Bruni Date: Fri, 13 Nov 2026 15:35:38 +0000 Subject: [PATCH 5/6] [tools-gps-tracks] Replace browser History API with local state Browser history state updates are rate-limited across repeated benchmark iterations and cause SecurityError failures in high-iteration runs. Replace window.history usage with an in-memory query and navigation state implementation so benchmark runs execute without browser history side effects. --- .../dist/benchmark-override.mjs | 2 +- .../dist/benchmark-override.mjs.map | 6 +- .../dist/tools-gps-tracks.mjs | 424 +++++++++--------- .../dist/tools-gps-tracks.mjs.map | 6 +- .../tools-gps-tracks/src/app.ts | 6 - .../src/benchmark-override.ts | 21 - .../tools-gps-tracks/src/url-state.ts | 42 +- 7 files changed, 247 insertions(+), 260 deletions(-) diff --git a/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs b/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs index 20a94e2f59..bbaea51084 100644 --- a/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs +++ b/suites-experimental/tools-gps-tracks/dist/benchmark-override.mjs @@ -1,2 +1,2 @@ -var s=539363104;window.__resetBenchmarkSeed=()=>{s=539363104};Math.random=()=>{let t=s+=1831565813;return t=Math.imul(t^t>>>15,t|1),t^=t+Math.imul(t^t>>>7,t|61),((t^t>>>14)>>>0)/4294967296};window.requestAnimationFrame=t=>window.setTimeout(()=>t(performance.now()),0);window.cancelAnimationFrame=t=>{window.clearTimeout(t)};if(typeof history<"u"){let t=history.replaceState?.bind(history),i=history.pushState?.bind(history);t&&(history.replaceState=function(n,e,o){try{t(n,e,o)}catch{}}),i&&(history.pushState=function(n,e,o){try{i(n,e,o)}catch{}})}try{Object.defineProperty(window,"devicePixelRatio",{get:()=>1,configurable:!0})}catch{}try{Object.defineProperty(navigator,"language",{get:()=>"en-US",configurable:!0}),Object.defineProperty(navigator,"languages",{get:()=>["en-US"],configurable:!0})}catch{}typeof CanvasRenderingContext2D<"u"&&(CanvasRenderingContext2D.prototype.measureText=function(t){let i=this.font||"10px 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e=Math.imul(e^e>>>15,e|1),e^=e+Math.imul(e^e>>>7,e|61),((e^e>>>14)>>>0)/4294967296};window.requestAnimationFrame=e=>window.setTimeout(()=>e(performance.now()),0);window.cancelAnimationFrame=e=>{window.clearTimeout(e)};try{Object.defineProperty(window,"devicePixelRatio",{get:()=>1,configurable:!0})}catch{}try{Object.defineProperty(navigator,"language",{get:()=>"en-US",configurable:!0}),Object.defineProperty(navigator,"languages",{get:()=>["en-US"],configurable:!0})}catch{}typeof CanvasRenderingContext2D<"u"&&(CanvasRenderingContext2D.prototype.measureText=function(e){let n=this.font||"10px 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+ "names": ["seed", "t", "callback", "id", "text", "fontStr", "sizeMatch", "fontSize", "isBold", "charWidth", "width"] } diff --git a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs index 828558c562..a024ae89c4 100644 --- a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs +++ b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs @@ -1,47 +1,47 @@ -var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams(location.search),f={};g.has("track")&&(f.track=g.get("track")),g.has("map")&&(f.map=g.get("map")),g.has("xaxis")&&(f.xaxis=g.get("xaxis")),g.has("tab")&&(f.tab=g.get("tab")),g.has("sel_point")&&(f.sel_point=Number(g.get("sel_point"))),g.has("speed_mode")&&(f.speed_mode=g.get("speed_mode")),g.has("progress")&&(f.progress=g.get("progress"));let 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no_sim
Select a track for details
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@@ -53,7 +53,7 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams(
- ${n.map(h=>`
@@ -115,7 +115,7 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams(
Start Time
-
${c?So(c):"Unknown"}
+
${r?So(r):"Unknown"}
@@ -129,12 +129,12 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams(
Telemetry Stability
-
${w}%
+
${T}%
Sensors Found
- ${a.sensors.length?a.sensors.map(h=>`${Wl[h]||"sensors"}`).join(""):'GPS only'} + ${a.sensors.length?a.sensors.map(f=>`${Nl[f]||"sensors"}`).join(""):'GPS only'}
@@ -199,13 +199,13 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( - ${d.gearMatrix.map(h=>` + ${d.gearMatrix.map(f=>` - ${me(h.combo)} - ${h.ratio} - ${h.pct}% (${h.seconds}s) - ${h.avgPower} W - ${h.avgCadence} rpm + ${me(f.combo)} + ${f.ratio} + ${f.pct}% (${f.seconds}s) + ${f.avgPower} W + ${f.avgCadence} rpm `).join("")} @@ -231,18 +231,18 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( - ${d.splitRows.map(h=>` + ${d.splitRows.map(f=>` - ${me(h.label)} - ${h.distKm} km - ${h.durationStr} - +${h.elevGain} m - ${h.avgSpeedKmh} km/h - ${h.avgPower} W - ${h.avgHR} bpm - ${h.avgCadence} rpm - ${h.avgTemp} \xB0C - ${h.stabilityPct}% + ${me(f.label)} + ${f.distKm} km + ${f.durationStr} + +${f.elevGain} m + ${f.avgSpeedKmh} km/h + ${f.avgPower} W + ${f.avgHR} bpm + ${f.avgCadence} rpm + ${f.avgTemp} \xB0C + ${f.stabilityPct}% `).join("")} @@ -253,19 +253,19 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams(
watchHardware & Sensors
- ${(()=>{let h=new Set;return t.devices.filter(b=>{if(!(b.name||b.product||b.manufacturer))return!1;let S=`${b.name}|${b.product}|${b.manufacturer}|${b.serial}`;return h.has(S)?!1:(h.add(S),!0)}).map(b=>{let p=b.name||b.product||"Unknown Device",S=b.manufacturer?`${b.manufacturer}`:"",_=[b.serial?`SN: ${b.serial}`:null,b.version?`v${b.version}`:null,b.hardwareVersion?`hw:${b.hardwareVersion}`:null].filter(Boolean).join(" \u2022 "),W=[b.batteryLevel?`${b.batteryLevel}%`:null,b.batteryStatus?`Status: ${b.batteryStatus}`:null,b.batteryVoltage?`${b.batteryVoltage.toFixed(2)}V`:null].filter(Boolean).join(" \u2022 "),O="",Y=String(b.sourceType||"").toLowerCase();Y.includes("local")?O="memory":Y.includes("antplus")||Y.includes("ant_plus")?O="settings_input_antenna":Y.includes("bluetooth")&&(O="bluetooth");let Z="sensors",lt=String(p).toLowerCase();return lt.includes("heartrate")||lt.includes("hrm")?Z=Nt.hr.icon:lt.includes("power")?Z=Nt.power.icon:lt.includes("speed")?Z=Nt.speed.icon:lt.includes("cadence")?Z=Nt.cadence.icon:lt.includes("barometer")?Z="air":lt.includes("temperature")?Z=Nt.temperature.icon:lt.includes("gps")&&(Z="location_on"),` + ${(()=>{let f=new Set;return t.devices.filter(h=>{if(!(h.name||h.product||h.manufacturer))return!1;let E=`${h.name}|${h.product}|${h.manufacturer}|${h.serial}`;return f.has(E)?!1:(f.add(E),!0)}).map(h=>{let p=h.name||h.product||"Unknown Device",E=h.manufacturer?`${h.manufacturer}`:"",_=[h.serial?`SN: ${h.serial}`:null,h.version?`v${h.version}`:null,h.hardwareVersion?`hw:${h.hardwareVersion}`:null].filter(Boolean).join(" \u2022 "),W=[h.batteryLevel?`${h.batteryLevel}%`:null,h.batteryStatus?`Status: ${h.batteryStatus}`:null,h.batteryVoltage?`${h.batteryVoltage.toFixed(2)}V`:null].filter(Boolean).join(" \u2022 "),O="",Y=String(h.sourceType||"").toLowerCase();Y.includes("local")?O="memory":Y.includes("antplus")||Y.includes("ant_plus")?O="settings_input_antenna":Y.includes("bluetooth")&&(O="bluetooth");let Z="sensors",lt=String(p).toLowerCase();return lt.includes("heartrate")||lt.includes("hrm")?Z=Nt.hr.icon:lt.includes("power")?Z=Nt.power.icon:lt.includes("speed")?Z=Nt.speed.icon:lt.includes("cadence")?Z=Nt.cadence.icon:lt.includes("barometer")?Z="air":lt.includes("temperature")?Z=Nt.temperature.icon:lt.includes("gps")&&(Z="location_on"),`
${Z}
${me(p)}
- ${O?`${O}`:""} + ${O?`${O}`:""}
-
${S}
+
${E}
${_?`
${me(_)}
`:""}
-
${me(b.type||"device")}
+
${me(h.type||"device")}
${W?`
battery_charging_full ${me(W)} @@ -284,7 +284,7 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams(
- `;let g=document.getElementById("tag-container"),f=document.getElementById("new-tag-input"),A=document.getElementById("btn-add-tag"),C=()=>{g.innerHTML="";let h=t.tags||[];if(h.length===0){g.innerHTML='No tags added';return}h.forEach(b=>{let p=Ts(b),S=document.createElement("div");S.className="tag-pill font-s",S.style.cssText=` + `;let $=document.getElementById("tag-container"),M=document.getElementById("new-tag-input"),F=document.getElementById("btn-add-tag"),I=()=>{$.innerHTML="";let f=t.tags||[];if(f.length===0){$.innerHTML='No tags added';return}f.forEach(h=>{let p=Ts(h),E=document.createElement("div");E.className="tag-pill font-s",E.style.cssText=` background: ${p}15; border: 1px solid ${p}44; color: ${p}; @@ -294,23 +294,23 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( display: flex; align-items: center; gap: 6px; - `,S.innerHTML=` - ${me(b)} - close - `,g.appendChild(S)}),g.querySelectorAll(".btn-remove-tag").forEach(b=>{b.addEventListener("click",async p=>{let S=p.currentTarget.dataset.tag;t.tags=(t.tags||[]).filter(_=>_!==S),await ce.save(t),C(),Pn()})})},$=async()=>{let h=f.value.trim().toLowerCase();if(!h)return;let b=new Set(t.tags||[]);if(b.has(h)){f.value="";return}b.add(h),t.tags=Array.from(b).sort(),await ce.save(t),f.value="",C(),Pn()};A.addEventListener("click",$),f.addEventListener("keydown",h=>{h.key==="Enter"&&$()});let M=l.querySelector("#details-title-input");M?.addEventListener("change",async()=>{let h=M.value.trim();h&&(t.displayName=h,await ce.save(t),Pn())});let m=document.getElementById("sport-dropdown-trigger");m?.addEventListener("click",h=>{h.stopPropagation(),k(m)});function k(h){if(!t)return;document.querySelectorAll(".metric-menu-popup").forEach(O=>O.remove());let b=document.createElement("div");b.className="metric-menu-popup",Object.keys(Ye).forEach(O=>{let Y=Ye[O],Z=document.createElement("div"),lt=t.sport?.toLowerCase()===O;Z.className=`menu-item ${lt?"active":""}`,Z.innerHTML=` + `,E.innerHTML=` + ${me(h)} + close + `,$.appendChild(E)}),$.querySelectorAll(".btn-remove-tag").forEach(h=>{h.addEventListener("click",async p=>{let E=p.currentTarget.dataset.tag;t.tags=(t.tags||[]).filter(_=>_!==E),await ce.save(t),I(),Pn()})})},b=async()=>{let f=M.value.trim().toLowerCase();if(!f)return;let h=new Set(t.tags||[]);if(h.has(f)){M.value="";return}h.add(f),t.tags=Array.from(h).sort(),await ce.save(t),M.value="",I(),Pn()};F.addEventListener("click",b),M.addEventListener("keydown",f=>{f.key==="Enter"&&b()});let g=o.querySelector("#details-title-input");g?.addEventListener("change",async()=>{let f=g.value.trim();f&&(t.displayName=f,await ce.save(t),Pn())});let u=document.getElementById("sport-dropdown-trigger");u?.addEventListener("click",f=>{f.stopPropagation(),v(u)});function v(f){if(!t)return;document.querySelectorAll(".metric-menu-popup").forEach(O=>O.remove());let h=document.createElement("div");h.className="metric-menu-popup",Object.keys(Ye).forEach(O=>{let Y=Ye[O],Z=document.createElement("div"),lt=t.sport?.toLowerCase()===O;Z.className=`menu-item ${lt?"active":""}`,Z.innerHTML=` ${Y.icon} ${Y.name} ${lt?"check":""} - `,Z.addEventListener("click",async()=>{t.sport=O,await ce.save(t),b.remove();let Ft=document.getElementById("sport-icon");Ft&&(Ft.textContent=Y.icon);let rt=document.getElementById("sport-name");rt&&(rt.textContent=Y.name),Pn()}),b.appendChild(Z)});let p=document.createElement("div"),S=!t.sport;p.className=`menu-item ${S?"active":""}`,p.innerHTML=` + `,Z.addEventListener("click",async()=>{t.sport=O,await ce.save(t),h.remove();let Ft=document.getElementById("sport-icon");Ft&&(Ft.textContent=Y.icon);let rt=document.getElementById("sport-name");rt&&(rt.textContent=Y.name),Pn()}),h.appendChild(Z)});let p=document.createElement("div"),E=!t.sport;p.className=`menu-item ${E?"active":""}`,p.innerHTML=` block \u2014 - ${S?"check":""} - `,p.addEventListener("click",async()=>{t.sport=void 0,await ce.save(t),b.remove();let O=document.getElementById("sport-icon");O&&(O.textContent="question_mark");let Y=document.getElementById("sport-name");Y&&(Y.textContent="\u2014"),Pn()}),b.appendChild(p),document.body.appendChild(b);let _=h.getBoundingClientRect();b.style.top=`${_.bottom+window.scrollY+4}px`,b.style.left=`${_.left+window.scrollX}px`;let W=O=>{!b.contains(O.target)&&!h.contains(O.target)&&(b.remove(),document.removeEventListener("click",W))};setTimeout(()=>document.addEventListener("click",W),10)}C(),document.getElementById("btn-delete-track")?.addEventListener("click",()=>{confirm(`Remove "${t.name}"?`)&&$o(t.id)})}import Zl from"uplot";var we=[];function No(t){return we.filter(n=>{if(n.points.length===0)return!1;for(let s of n.points){let e=!1;for(let l of t.points)if(en(s.lat,s.lon,l.lat,l.lon)<=s.radius){e=!0;break}if(!e)return!1}return!0})}var un=null,Yn=!1,dn=null,Wo=()=>{},zl=null;function qo(t){Wo=t,Ul()}function zo(){we=[],un=null,dn=null,Yn=!1;let t=document.getElementById("courses-view");t&&(t.innerHTML=` + ${E?"check":""} + `,p.addEventListener("click",async()=>{t.sport=void 0,await ce.save(t),h.remove();let O=document.getElementById("sport-icon");O&&(O.textContent="question_mark");let Y=document.getElementById("sport-name");Y&&(Y.textContent="\u2014"),Pn()}),h.appendChild(p),document.body.appendChild(h);let _=f.getBoundingClientRect();h.style.top=`${_.bottom+window.scrollY+4}px`,h.style.left=`${_.left+window.scrollX}px`;let W=O=>{!h.contains(O.target)&&!f.contains(O.target)&&(h.remove(),document.removeEventListener("click",W))};setTimeout(()=>document.addEventListener("click",W),10)}I(),document.getElementById("btn-delete-track")?.addEventListener("click",()=>{confirm(`Remove "${t.name}"?`)&&$o(t.id)})}import Gl from"uplot";var we=[];function No(t){return we.filter(s=>{if(s.points.length===0)return!1;for(let e of s.points){let n=!1;for(let o of t.points)if(en(e.lat,e.lon,o.lat,o.lon)<=e.radius){n=!0;break}if(!n)return!1}return!0})}var un=null,Yn=!1,dn=null,Wo=()=>{},ql=null;function qo(t){Wo=t,zl()}function zo(){we=[],un=null,dn=null,Yn=!1;let t=document.getElementById("courses-view");t&&(t.innerHTML=`
route
No courses created yet
- `)}function Us(t){we=[];let n=[{trackIdx:0,suffix:"Full Loop",fracs:[.1,.5,.85],radius:450},{trackIdx:1,suffix:"Opening Climb Sector",fracs:[.08,.25,.45],radius:450},{trackIdx:2,suffix:"Lakeside Corridor",fracs:[.1,.45,.8],radius:850},{trackIdx:3,suffix:"Sprint Interval Sector",fracs:[.2,.5,.75],radius:850},{trackIdx:4,suffix:"Alpine Grand Tour Stage",fracs:[.1,.5,.85],radius:900},{trackIdx:5,suffix:"Summit Finish Climb",fracs:[.5,.72,.92],radius:900}];for(let s=0;s0&&(un=we[0].id,dn=we[0].id)}function Uo(){return we.map(t=>t.id)}async function Ul(){try{let t=await ce.get("courses");t&&(we=t)}catch(t){console.error("Courses: Failed to load courses",t)}}async function Vs(){try{await ce.set("courses",we)}catch(t){console.error("Courses: Failed to save courses",t),Wo("Failed to save courses","error")}}function Vl(t){let n=0;for(let s=0;ss)return{duration:0,dist:0,avgWatts:null,avgHR:null,avgSpeed:null,avgCadence:null,avgVam:null};let i=Math.max(0,Math.min(n,l-1)),a=Math.max(i,Math.min(s,l-1)),c=e[i]?.time||0,w=((e[a]?.time||0)-c)/1e3,g=0,f=0,A=0,C=0,$=0,M=0,m=0,k=0,P=0;for(let b=i;b<=a;b++){let p=e[b];if(p.power!=null&&(g+=p.power,f++),p.hr!=null&&(A+=p.hr,C++),p.speed!=null&&($+=p.speed,M++),p.cadence!=null&&(m+=p.cadence,k++),b>i){let S=e[b-1];if(p.ele!=null&&S.ele!=null){let _=p.ele-S.ele;_>0&&(P+=_)}}}let h=a>i?(e[a].dist||0)-(e[i].dist||0):0;return{duration:w,dist:h,avgWatts:f>0?Math.round(g/f):null,avgHR:C>0?Math.round(A/C):null,avgSpeed:M>0?$/M:null,avgCadence:k>0?Math.round(m/k):null,avgVam:w>0?Math.round(P/(w/3600)):null}}function Ol(t){let n=Math.floor(t/3600),s=Math.floor(t%3600/60),e=Math.floor(t%60);return n>0?`${n}:${s.toString().padStart(2,"0")}:${e.toString().padStart(2,"0")}`:`${s}:${e.toString().padStart(2,"0")}`}function Os(){return` + `)}function Us(t){we=[];let s=[{trackIdx:0,suffix:"Full Loop",fracs:[.1,.5,.85],radius:450},{trackIdx:1,suffix:"Opening Climb Sector",fracs:[.08,.25,.45],radius:450},{trackIdx:2,suffix:"Lakeside Corridor",fracs:[.1,.45,.8],radius:850},{trackIdx:3,suffix:"Sprint Interval Sector",fracs:[.2,.5,.75],radius:850},{trackIdx:4,suffix:"Alpine Grand Tour Stage",fracs:[.1,.5,.85],radius:900},{trackIdx:5,suffix:"Summit Finish Climb",fracs:[.5,.72,.92],radius:900}];for(let e=0;e0&&(un=we[0].id,dn=we[0].id)}function Uo(){return we.map(t=>t.id)}async function zl(){try{let t=await ce.get("courses");t&&(we=t)}catch(t){console.error("Courses: Failed to load courses",t)}}async function Vs(){try{await ce.set("courses",we)}catch(t){console.error("Courses: Failed to save courses",t),Wo("Failed to save courses","error")}}function Ul(t){let s=0;for(let e=0;ee)return{duration:0,dist:0,avgWatts:null,avgHR:null,avgSpeed:null,avgCadence:null,avgVam:null};let i=Math.max(0,Math.min(s,o-1)),a=Math.max(i,Math.min(e,o-1)),r=n[i]?.time||0,T=((n[a]?.time||0)-r)/1e3,$=0,M=0,F=0,I=0,b=0,g=0,u=0,v=0,k=0;for(let h=i;h<=a;h++){let p=n[h];if(p.power!=null&&($+=p.power,M++),p.hr!=null&&(F+=p.hr,I++),p.speed!=null&&(b+=p.speed,g++),p.cadence!=null&&(u+=p.cadence,v++),h>i){let E=n[h-1];if(p.ele!=null&&E.ele!=null){let _=p.ele-E.ele;_>0&&(k+=_)}}}let f=a>i?(n[a].dist||0)-(n[i].dist||0):0;return{duration:T,dist:f,avgWatts:M>0?Math.round($/M):null,avgHR:I>0?Math.round(F/I):null,avgSpeed:g>0?b/g:null,avgCadence:v>0?Math.round(u/v):null,avgVam:T>0?Math.round(k/(T/3600)):null}}function Vl(t){let s=Math.floor(t/3600),e=Math.floor(t%3600/60),n=Math.floor(t%60);return s>0?`${s}:${e.toString().padStart(2,"0")}:${n.toString().padStart(2,"0")}`:`${e}:${n.toString().padStart(2,"0")}`}function Os(){return` calendar_today Date straighten Distance timer Duration @@ -319,16 +319,16 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( trending_up VAM bolt Power favorite HR - 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@@ -351,7 +351,7 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( route
No courses created yet
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${d.length===0?`
No matching tracks
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-
- ${me(w.displayName)} +
+ ${me(T.displayName)}
- ${Ys(w,w.sport,w.date)} + ${Ys(T,T.sport,T.date)} `).join("")} @@ -380,53 +380,53 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( `}
`}return` -
+
${a?"expand_more":"chevron_right"} -
${me(e.name)} edit
-
straighten ${Vl(e).toFixed(2)} km | ${e.points.length} points | ${i.length} matching tracks
+
${me(n.name)} edit
+
straighten ${Ul(n).toFixed(2)} km | ${n.points.length} points | ${i.length} matching tracks
- ${c} + ${r}
`}).join("")}
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analytics
No insights available for this track (requires Power or Heart Rate data)
- `;return}let c=Kl(i,Jt.getFTP(),t.stats.sections),d=c.minWPrimeBal;e.innerHTML=` -
- `;let w=document.getElementById("insights-grid");if(!w)return;let g=Math.round(w.getBoundingClientRect().width-42)||480;if(a.powerCurve&&Xo({grid:w,track:t,curve:a.powerCurve,metricKey:"power",label:"Power Curve",unit:"W",color:Nt.power.color,icon:"bolt",chartWidth:g}),a.hrCurve&&Xo({grid:w,track:t,curve:a.hrCurve,metricKey:"hr",label:"Heart Rate Curve",unit:"bpm",color:Nt.hr.color,icon:"favorite",chartWidth:g}),a.powerZones){let M=document.createElement("div");M.className="insight-card";let m="power",k=Nt.power.color;M.style.setProperty("--chart-color",k);let P=ft.getMapColorMetric()===m,h=a.powerZones.reduce((S,_)=>S+_,0),b=$n.getPowerZones(),p="";a.powerZones.forEach((S,_)=>{if(_>=b.length)return;let W=b[_],O=h>0?S/h*100:0,Y=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} W`:`> ${Math.round(W.min)} W`;p+=` + `;return}let r=Ql(i,Jt.getFTP(),t.stats.sections),d=r.minWPrimeBal;n.innerHTML=` +
+ `;let T=document.getElementById("insights-grid");if(!T)return;let $=Math.round(T.getBoundingClientRect().width-42)||480;if(a.powerCurve&&Xo({grid:T,track:t,curve:a.powerCurve,metricKey:"power",label:"Power Curve",unit:"W",color:Nt.power.color,icon:"bolt",chartWidth:$}),a.hrCurve&&Xo({grid:T,track:t,curve:a.hrCurve,metricKey:"hr",label:"Heart Rate Curve",unit:"bpm",color:Nt.hr.color,icon:"favorite",chartWidth:$}),a.powerZones){let g=document.createElement("div");g.className="insight-card";let u="power",v=Nt.power.color;g.style.setProperty("--chart-color",v);let k=ft.getMapColorMetric()===u,f=a.powerZones.reduce((E,_)=>E+_,0),h=$n.getPowerZones(),p="";a.powerZones.forEach((E,_)=>{if(_>=h.length)return;let W=h[_],O=f>0?E/f*100:0,Y=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} W`:`> ${Math.round(W.min)} W`;p+=`
Z${_+1} ${W.name} ${Y} - ${he(Math.round(S))} + ${he(Math.round(E))} ${O.toFixed(1)}%
- `}),M.innerHTML=` + `}),g.innerHTML=`
- boltPower Zones + boltPower Zones
-
@@ -435,26 +435,26 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams(
${p}
- `,w.appendChild(M),M.querySelector(".map-color-btn")?.addEventListener("click",S=>{S.stopPropagation(),ft.toggleMapColor(m);let _=ft.getMapColorMetric();w.querySelectorAll(".map-color-btn").forEach(W=>{let O=W;O.classList.toggle("active",O.dataset.metric===_)})}),M.querySelector(".btn-pw-settings")?.addEventListener("click",S=>{S.stopPropagation(),ti(S.currentTarget,t)})}if(a.hrZones){let M=document.createElement("div");M.className="insight-card";let m="hr",k=Nt.hr.color;M.style.setProperty("--chart-color",k);let P=ft.getMapColorMetric()===m,h=a.hrZones.reduce((S,_)=>S+_,0),b=$n.getHRZones(),p="";a.hrZones.forEach((S,_)=>{if(_>=b.length)return;let W=b[_],O=h>0?S/h*100:0,Y=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} bpm`:`> ${Math.round(W.min)} bpm`;p+=` + `,T.appendChild(g),g.querySelector(".map-color-btn")?.addEventListener("click",E=>{E.stopPropagation(),ft.toggleMapColor(u);let _=ft.getMapColorMetric();T.querySelectorAll(".map-color-btn").forEach(W=>{let O=W;O.classList.toggle("active",O.dataset.metric===_)})}),g.querySelector(".btn-pw-settings")?.addEventListener("click",E=>{E.stopPropagation(),Jl(E.currentTarget,t)})}if(a.hrZones){let g=document.createElement("div");g.className="insight-card";let u="hr",v=Nt.hr.color;g.style.setProperty("--chart-color",v);let k=ft.getMapColorMetric()===u,f=a.hrZones.reduce((E,_)=>E+_,0),h=$n.getHRZones(),p="";a.hrZones.forEach((E,_)=>{if(_>=h.length)return;let W=h[_],O=f>0?E/f*100:0,Y=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} bpm`:`> ${Math.round(W.min)} bpm`;p+=`
Z${_+1} ${W.name} ${Y} - ${he(Math.round(S))} + ${he(Math.round(E))} ${O.toFixed(1)}%
- `}),M.innerHTML=` + `}),g.innerHTML=`
- favoriteHeart Rate Zones + favoriteHeart Rate Zones
-
@@ -463,7 +463,7 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams(
${p}
- `,w.appendChild(M),M.querySelector(".map-color-btn")?.addEventListener("click",S=>{S.stopPropagation(),ft.toggleMapColor(m);let _=ft.getMapColorMetric();w.querySelectorAll(".map-color-btn").forEach(W=>{let O=W;O.classList.toggle("active",O.dataset.metric===_)})}),M.querySelector(".btn-hr-settings")?.addEventListener("click",S=>{S.stopPropagation(),Jl(S.currentTarget,t)})}let f=document.createElement("div");f.className="insight-card";let A=a.totalDist/1e3,C=A>0?a.elevGain/(A*1e3)*100:0;if(f.innerHTML=` + `,T.appendChild(g),g.querySelector(".map-color-btn")?.addEventListener("click",E=>{E.stopPropagation(),ft.toggleMapColor(u);let _=ft.getMapColorMetric();T.querySelectorAll(".map-color-btn").forEach(W=>{let O=W;O.classList.toggle("active",O.dataset.metric===_)})}),g.querySelector(".btn-hr-settings")?.addEventListener("click",E=>{E.stopPropagation(),Kl(E.currentTarget,t)})}let M=document.createElement("div");M.className="insight-card";let F=a.totalDist/1e3,I=F>0?a.elevGain/(F*1e3)*100:0;if(M.innerHTML=`
terrainClimbing Analysis
@@ -478,36 +478,36 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams(
Avg Grade
-
${C.toFixed(1)} %
+
${I.toFixed(1)} %
VAM
${a.duration&&a.duration>0?Math.round(a.elevGain/a.duration*36e5):0} m/h
- `,w.appendChild(f),a.avgPower&&a.avgHR){let M=document.createElement("div");M.className="insight-card";let m=a.avgPower/a.avgHR;M.innerHTML=` + `,T.appendChild(M),a.avgPower&&a.avgHR){let g=document.createElement("div");g.className="insight-card";let u=a.avgPower/a.avgHR;g.innerHTML=`
monitoringEfficiency & W' Balance
EF (Avg Power / Avg HR)
-
${m.toFixed(2)}
+
${u.toFixed(2)}
Aerobic Decoupling
-
${c.decouplingPct.toFixed(1)} %
+
${r.decouplingPct.toFixed(1)} %
Min W' Reserve
-
${(c.minWPrimeBal/1e3).toFixed(1)} kJ (${c.matchesBurned} matches)
+
${(r.minWPrimeBal/1e3).toFixed(1)} kJ (${r.matchesBurned} matches)
Quadrants (Q1/Q2/Q3/Q4)
-
${c.quadrantPct.join("% / ")}%
+
${r.quadrantPct.join("% / ")}%
- `,w.appendChild(M)}if(c.sectionPeaks.length>0){let M=document.createElement("div");M.className="insight-card",M.innerHTML=` + `,T.appendChild(g)}if(r.sectionPeaks.length>0){let g=document.createElement("div");g.className="insight-card",g.innerHTML=`
segmentTrack Section & Climb Efforts
@@ -523,20 +523,20 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( - ${c.sectionPeaks.map(m=>` + ${r.sectionPeaks.map(u=>` - ${me(m.label)} - ${m.distKm} km - ${m.avgPower} W - ${m.peak60sPower} W - ${m.avgHR} bpm - ${m.vam} m/h + ${me(u.label)} + ${u.distKm} km + ${u.avgPower} W + ${u.peak60sPower} W + ${u.avgHR} bpm + ${u.vam} m/h `).join("")} - `,w.appendChild(M)}let $=No(t);if($.length>0){let M=document.createElement("div");M.className="insight-card",M.style.cssText="column-span: all; display: block;",M.innerHTML=` -
routeCourses (${$.length})
+ `,T.appendChild(g)}let b=No(t);if(b.length>0){let g=document.createElement("div");g.className="insight-card",g.style.cssText="column-span: all; display: block;",g.innerHTML=` +
routeCourses (${b.length})
@@ -546,27 +546,27 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( - ${$.map(m=>{let k=ks(t,m.points),P="";if(k){let h=wn(t,k.startIdx,k.endIdx),b=t.stats?.startTime||t.points?.[0]?.time,p=b?nn(b):"-";P=Ys(h,t.sport||null,p)}else P='';return` - + ${b.map(u=>{let v=ks(t,u.points),k="";if(v){let f=wn(t,v.startIdx,v.endIdx),h=t.stats?.startTime||t.points?.[0]?.time,p=h?nn(h):"-";k=Ys(f,t.sport||null,p)}else k='';return` + - ${P} + ${k} `}).join("")}
No continuous segment
No continuous segment
- ${me(m.name)} + ${me(u.name)}
- `,w.appendChild(M),M.querySelectorAll(".clickable-course").forEach(m=>{m.addEventListener("click",()=>{let k=m.dataset.id;Tn(k,!0),Gt.patch({tab:"courses"},!0)}),m.addEventListener("mouseenter",()=>{let k=m.dataset.id,P=$.find(h=>h.id===k);if(P){let h=ks(t,P.points);h&&Bt.highlightSegment(t.id,t.points,h.startIdx,h.endIdx,!1)}}),m.addEventListener("mouseleave",()=>{Bt.clearHighlight()})})}}function Xo(t){let{grid:n,track:s,curve:e,metricKey:l,label:i,unit:a,color:c,icon:d,chartWidth:w}=t,g=ft.getMapColorMetric()===l,f=document.createElement("div");f.className="insight-card",f.style.setProperty("--chart-color",c),f.innerHTML=` + `,T.appendChild(g),g.querySelectorAll(".clickable-course").forEach(u=>{u.addEventListener("click",()=>{let v=u.dataset.id;Tn(v,!0),Gt.patch({tab:"courses"},!0)}),u.addEventListener("mouseenter",()=>{let v=u.dataset.id,k=b.find(f=>f.id===v);if(k){let f=ks(t,k.points);f&&Bt.highlightSegment(t.id,t.points,f.startIdx,f.endIdx,!1)}}),u.addEventListener("mouseleave",()=>{Bt.clearHighlight()})})}}function Xo(t){let{grid:s,track:e,curve:n,metricKey:o,label:i,unit:a,color:r,icon:d,chartWidth:T}=t,$=ft.getMapColorMetric()===o,M=document.createElement("div");M.className="insight-card",M.style.setProperty("--chart-color",r),M.innerHTML=`
- ${d}${i} + ${d}${i}
-
@@ -574,7 +574,7 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( expand_more
-
+
- `,n.appendChild(f);let A=f.querySelector(".curve-table-wrap"),C=f.querySelector(".btn-toggle-table"),$=C.querySelector(".material-symbols-rounded");C.addEventListener("click",()=>{let h=A.style.display==="none";A.style.display=h?"block":"none",$.textContent=h?"expand_less":"expand_more"});let M=f.querySelector(".map-color-btn");M.addEventListener("click",h=>{h.stopPropagation();let b=M.dataset.metric;ft.toggleMapColor(b);let p=ft.getMapColorMetric();n.querySelectorAll(".map-color-btn").forEach(S=>{let _=S;_.classList.toggle("active",_.dataset.metric===p)})});let m=f.querySelector(".curve-tbody"),k=Object.keys(e).map(Number).sort((h,b)=>h-b);k.forEach(h=>{let b=e[h],p=b.power||b.hr||b.val,S=document.createElement("tr");S.innerHTML=` - ${ze(h)} + `,s.appendChild(M);let F=M.querySelector(".curve-table-wrap"),I=M.querySelector(".btn-toggle-table"),b=I.querySelector(".material-symbols-rounded");I.addEventListener("click",()=>{let f=F.style.display==="none";F.style.display=f?"block":"none",b.textContent=f?"expand_less":"expand_more"});let g=M.querySelector(".map-color-btn");g.addEventListener("click",f=>{f.stopPropagation();let h=g.dataset.metric;ft.toggleMapColor(h);let p=ft.getMapColorMetric();s.querySelectorAll(".map-color-btn").forEach(E=>{let _=E;_.classList.toggle("active",_.dataset.metric===p)})});let u=M.querySelector(".curve-tbody"),v=Object.keys(n).map(Number).sort((f,h)=>f-h);v.forEach(f=>{let h=n[f],p=h.power||h.hr||h.val,E=document.createElement("tr");E.innerHTML=` + ${ze(f)} ${p} ${a} - - `,m?.appendChild(S)}),m?.querySelectorAll(".btn-show-peak").forEach(h=>{h.addEventListener("click",b=>{let p=b.currentTarget,S=parseInt(p.dataset.idx),_=parseInt(p.dataset.len),W=s.points,O=Math.min(W.length-1,S+_-1),Y=W[0].time||0,Z=((W[S].time||Y)-Y)/1e3,lt=((W[O].time||Y)-Y)/1e3;Gt.patch({sel:[Z,lt]}),Bt.highlightSegment(s.id,W,S,O,!0)})});let P=f.querySelector(`#${l}-curve-chart`);if(P){let h=k,b=k.map(W=>e[W].power||e[W].hr||e[W].val),p=document.createElement("div");p.className="cur-y-val",p.style.cssText=`color:${c};display:none;border-color:${c}44`,P.style.position="relative",P.appendChild(p);let S={id:`${l}-curve`,width:0,height:250,padding:[10,10,0,10],scales:{x:{time:!1,distr:3,auto:!0},y:{auto:!0}},series:[{},{label:i,stroke:c,width:2,fill:le(c,.1),points:{show:!0,size:5,fill:c}}],axes:[{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},show:!0,values:()=>[],ticks:{show:!1},font:"10px system-ui, sans-serif",size:30},{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},values:(W,O)=>O.map(Y=>`${Y}${a}`),font:"10px system-ui, sans-serif",size:50}],cursor:{drag:{x:!1,y:!1},dataIdx:(W,O,Y)=>Y},hooks:{draw:[W=>{let O=W.ctx,Y=window.devicePixelRatio||1,Z=W.bbox,lt=[1,2,5,10,20,30,60,120,300,600,1200,1800,3600,7200,10800],Ft=h[h.length-1];O.save(),O.fillStyle="#555564",O.textAlign="center",O.textBaseline="top",O.font=`${10*Y}px system-ui, sans-serif`;let rt=-100;lt.forEach(x=>{if(x>Ft)return;let v=W.valToPos(x,"x",!0);v>rt+30*Y&&v{W.over.addEventListener("click",()=>{let O=W.cursor.idx;if(O!=null&&h[O]!=null){let Y=h[O],lt=e[Y].idx,Ft=s.points,rt=Math.min(Ft.length-1,lt+Y-1),x=Ft[0].time||0,v=((Ft[lt].time||x)-x)/1e3,u=((Ft[rt].time||x)-x)/1e3;Gt.patch({sel:[v,u]}),Bt.highlightSegment(s.id,Ft,lt,rt,!0)}})}],setCursor:[W=>{if(!W._ready)return;W.redraw(!1);let O=W.cursor.idx,Y=W.ctx,Z=window.devicePixelRatio||1,lt=W.bbox,Ft=O!=null&&b[O]!=null&&W.cursor.left>=0,rt=W.cursor.top,x=W.valToPos(b[O],"y",!1);if(Ft&&Math.abs(rt-x)<40){let u=W.valToPos(h[O],"x",!1),N=W.valToPos(b[O],"y",!1),E=h[O];p.innerHTML=`${ze(E)}: ${b[O]} ${a}`,p.style.transform=`translate(${u}px, ${N}px) translate(15px, 15px)`,p.style.display="";let G=W.valToPos(h[O],"x",!0),U=W.valToPos(b[O],"y",!0);Y.save(),Y.beginPath(),Y.setLineDash([2*Z,2*Z]),Y.strokeStyle=le(c,.4),Y.lineWidth=1*Z,Y.moveTo(G,lt.top),Y.lineTo(G,lt.top+lt.height),Y.stroke(),Y.beginPath(),Y.setLineDash([]),Y.arc(G,U,3*Z,0,Math.PI*2),Y.fillStyle="#0e0e10",Y.fill(),Y.strokeStyle=c,Y.lineWidth=2*Z,Y.stroke(),Y.restore()}else p.style.display="none"}]},legend:{show:!1}};S.width=w||Math.round(n.getBoundingClientRect().width-42)||P.clientWidth||500;let _=new Zl(S,[h,b],P);_._ready=!0,js.push(_)}}function Jl(t,n){document.querySelectorAll(".hr-settings-popup").forEach(a=>a.remove());let s=document.createElement("div");s.className="hr-settings-popup";let e=Jt.getHRZones();s.innerHTML=` + `,u?.appendChild(E)}),u?.querySelectorAll(".btn-show-peak").forEach(f=>{f.addEventListener("click",h=>{let p=h.currentTarget,E=parseInt(p.dataset.idx),_=parseInt(p.dataset.len),W=e.points,O=Math.min(W.length-1,E+_-1),Y=W[0].time||0,Z=((W[E].time||Y)-Y)/1e3,lt=((W[O].time||Y)-Y)/1e3;Gt.patch({sel:[Z,lt]}),Bt.highlightSegment(e.id,W,E,O,!0)})});let k=M.querySelector(`#${o}-curve-chart`);if(k){let f=v,h=v.map(W=>n[W].power||n[W].hr||n[W].val),p=document.createElement("div");p.className="cur-y-val",p.style.cssText=`color:${r};display:none;border-color:${r}44`,k.style.position="relative",k.appendChild(p);let E={id:`${o}-curve`,width:0,height:250,padding:[10,10,0,10],scales:{x:{time:!1,distr:3,auto:!0},y:{auto:!0}},series:[{},{label:i,stroke:r,width:2,fill:le(r,.1),points:{show:!0,size:5,fill:r}}],axes:[{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},show:!0,values:()=>[],ticks:{show:!1},font:"10px system-ui, sans-serif",size:30},{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},values:(W,O)=>O.map(Y=>`${Y}${a}`),font:"10px system-ui, sans-serif",size:50}],cursor:{drag:{x:!1,y:!1},dataIdx:(W,O,Y)=>Y},hooks:{draw:[W=>{let O=W.ctx,Y=window.devicePixelRatio||1,Z=W.bbox,lt=[1,2,5,10,20,30,60,120,300,600,1200,1800,3600,7200,10800],Ft=f[f.length-1];O.save(),O.fillStyle="#555564",O.textAlign="center",O.textBaseline="top",O.font=`${10*Y}px system-ui, sans-serif`;let rt=-100;lt.forEach(w=>{if(w>Ft)return;let y=W.valToPos(w,"x",!0);y>rt+30*Y&&y{W.over.addEventListener("click",()=>{let O=W.cursor.idx;if(O!=null&&f[O]!=null){let Y=f[O],lt=n[Y].idx,Ft=e.points,rt=Math.min(Ft.length-1,lt+Y-1),w=Ft[0].time||0,y=((Ft[lt].time||w)-w)/1e3,m=((Ft[rt].time||w)-w)/1e3;Gt.patch({sel:[y,m]}),Bt.highlightSegment(e.id,Ft,lt,rt,!0)}})}],setCursor:[W=>{if(!W._ready)return;W.redraw(!1);let O=W.cursor.idx,Y=W.ctx,Z=window.devicePixelRatio||1,lt=W.bbox,Ft=O!=null&&h[O]!=null&&W.cursor.left>=0,rt=W.cursor.top,w=W.valToPos(h[O],"y",!1);if(Ft&&Math.abs(rt-w)<40){let m=W.valToPos(f[O],"x",!1),N=W.valToPos(h[O],"y",!1),C=f[O];p.innerHTML=`${ze(C)}: ${h[O]} ${a}`,p.style.transform=`translate(${m}px, ${N}px) translate(15px, 15px)`,p.style.display="";let G=W.valToPos(f[O],"x",!0),U=W.valToPos(h[O],"y",!0);Y.save(),Y.beginPath(),Y.setLineDash([2*Z,2*Z]),Y.strokeStyle=le(r,.4),Y.lineWidth=1*Z,Y.moveTo(G,lt.top),Y.lineTo(G,lt.top+lt.height),Y.stroke(),Y.beginPath(),Y.setLineDash([]),Y.arc(G,U,3*Z,0,Math.PI*2),Y.fillStyle="#0e0e10",Y.fill(),Y.strokeStyle=r,Y.lineWidth=2*Z,Y.stroke(),Y.restore()}else p.style.display="none"}]},legend:{show:!1}};E.width=T||Math.round(s.getBoundingClientRect().width-42)||k.clientWidth||500;let _=new Gl(E,[f,h],k);_._ready=!0,js.push(_)}}function Kl(t,s){document.querySelectorAll(".hr-settings-popup").forEach(a=>a.remove());let e=document.createElement("div");e.className="hr-settings-popup";let n=Jt.getHRZones();e.innerHTML=`
Configure HR Zones (bpm)
Z1 / Z2 - +
Z2 / Z3 - +
Z3 / Z4 - +
Z4 / Z5 - +
- `;let l=t.getBoundingClientRect();s.style.cssText=` + `;let o=t.getBoundingClientRect();e.style.cssText=` position: fixed; z-index: 10000; background: var(--surface2); @@ -625,18 +625,18 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( padding: 16px; width: 200px; box-shadow: 0 8px 32px rgba(0,0,0,0.6); - left: ${l.right-200}px; - top: ${l.bottom+8}px; - `,document.body.appendChild(s),s.querySelector(".save-btn")?.addEventListener("click",async()=>{let a=s.querySelectorAll(".hr-zone-input"),c=Array.from(a).map(d=>parseInt(d.value)||0);for(let d=1;d{!s.contains(a.target)&&!t.contains(a.target)&&(s.remove(),document.removeEventListener("click",i))};setTimeout(()=>document.addEventListener("click",i),10)}function ti(t,n){document.querySelectorAll(".pw-settings-popup").forEach(a=>a.remove());let s=document.createElement("div");s.className="pw-settings-popup";let e=Jt.getFTP();s.innerHTML=` + left: ${o.right-200}px; + top: ${o.bottom+8}px; + `,document.body.appendChild(e),e.querySelector(".save-btn")?.addEventListener("click",async()=>{let a=e.querySelectorAll(".hr-zone-input"),r=Array.from(a).map(d=>parseInt(d.value)||0);for(let d=1;d{!e.contains(a.target)&&!t.contains(a.target)&&(e.remove(),document.removeEventListener("click",i))};setTimeout(()=>document.addEventListener("click",i),10)}function Jl(t,s){document.querySelectorAll(".pw-settings-popup").forEach(a=>a.remove());let e=document.createElement("div");e.className="pw-settings-popup";let n=Jt.getFTP();e.innerHTML=`
Configure FTP (Watts)
Your FTP - +
- `;let l=t.getBoundingClientRect();s.style.cssText=` + `;let o=t.getBoundingClientRect();e.style.cssText=` position: fixed; z-index: 10000; background: var(--surface2); @@ -645,27 +645,27 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( padding: 16px; width: 200px; box-shadow: 0 8px 32px rgba(0,0,0,0.6); - left: ${l.right-200}px; - top: ${l.bottom+8}px; - `,document.body.appendChild(s),s.querySelector(".save-btn")?.addEventListener("click",async()=>{let a=s.querySelector("#ftp-input"),c=parseInt(a.value)||200;Jt.setFTP(c),await ce.set("ftp",c),n.stats=Jt.computeStats(n.points,!0),await ce.save(n),be(n),s.remove(),Ls(`FTP updated to ${c}W`)});let i=a=>{!s.contains(a.target)&&!t.contains(a.target)&&(s.remove(),document.removeEventListener("click",i))};setTimeout(()=>document.addEventListener("click",i),10)}import tl from"uplot";var Te=[],$e=null,pe=null,fn="power",Qe="hr",ve=null,Ie=[],Xe=[],pn=null,He=!1;function jn(){let t=document.getElementById("combined-time-val");if(t&&ve!==null&&Ie[ve]){let n=Ie[ve][2];t.textContent=`${he(n)}`}}function nl(){pn&&(clearInterval(pn),pn=null),pe&&(pe.destroy(),pe=null),Te=[],$e=null,fn="power",Qe="hr",ve=null,Ie=[],Xe=[],He=!1;let t=document.getElementById("combined-tooltip");t&&t.remove();let n=document.getElementById("combined-view");n&&(n.innerHTML=` + left: ${o.right-200}px; + top: ${o.bottom+8}px; + `,document.body.appendChild(e),e.querySelector(".save-btn")?.addEventListener("click",async()=>{let a=e.querySelector("#ftp-input"),r=parseInt(a.value)||200;Jt.setFTP(r),await ce.set("ftp",r),s.stats=Jt.computeStats(s.points,!0),await ce.save(s),be(s),e.remove(),Ls(`FTP updated to ${r}W`)});let i=a=>{!e.contains(a.target)&&!t.contains(a.target)&&(e.remove(),document.removeEventListener("click",i))};setTimeout(()=>document.addEventListener("click",i),10)}import tl from"uplot";var Te=[],$e=null,pe=null,fn="power",Qe="hr",ve=null,Ie=[],Xe=[],pn=null,He=!1;function jn(){let t=document.getElementById("combined-time-val");if(t&&ve!==null&&Ie[ve]){let s=Ie[ve][2];t.textContent=`${he(s)}`}}function nl(){pn&&(clearInterval(pn),pn=null),pe&&(pe.destroy(),pe=null),Te=[],$e=null,fn="power",Qe="hr",ve=null,Ie=[],Xe=[],He=!1;let t=document.getElementById("combined-tooltip");t&&t.remove();let s=document.getElementById("combined-view");s&&(s.innerHTML=`
no_sim
Select a track for combined analysis
- `)}var ei=16384,Gs=new Float64Array(32*32);function ni(t,n){let s=n.length>=2?n:t,e=Math.min(s.length,8);Gs.fill(0);let l=[{label:"Power vs Heart Rate",getX:A=>A.power,getY:A=>A.hr},{label:"Speed vs Gradient",getX:A=>A.speed!=null?A.speed*3.6:void 0,getY:A=>A.gradient},{label:"Cadence vs Power",getX:A=>A.cad,getY:A=>A.power},{label:"Elevation vs VAM",getX:A=>A.ele,getY:A=>A.verticalSpeed},{label:"Temperature vs HR",getX:A=>A.temp,getY:A=>A.hr}],i=0,a=0,c=[];for(let A=0;A2){let S=$/h,_=M/h,W=Math.max(0,m/h-S*S),O=Math.max(0,k/h-_*_),Y=P/h-S*_,Z=Math.sqrt(W*O);b=Z>1e-9?Y/Z:0,p=W>1e-9?Y/W:0}i+=h,a+=Math.abs(b)*100+Math.abs(p),c.push({pairLabel:C.label,rVal:b,slope:p,samples:h})}for(let A=0;A<1024;A++)a+=Gs[A]*.001;let d=["Q1 (0\u201325%)","Q2 (25\u201350%)","Q3 (50\u201375%)","Q4 (75\u2013100%)"],w=[],g=t[0],f=t[1]||t[0];for(let A=0;A<4;A++){let C=A*.25,$=(A+1)*.25,M=h=>{let b=h.points||[],p=Math.floor(b.length*C),S=Math.max(p+1,Math.floor(b.length*$)),_=0,W=0,O=0,Y=0;for(let Z=p;Z0?Math.round(_/Y):0,hr:Y>0?Math.round(W/Y):0,speedKmh:Y>0?O/Y:0}},m=M(g),k=M(f),P=0;for(let h=0;h0?Math.round(P/e):0})}return{aggPts:i,corrSum:a,correlations:c,sectionRows:w}}function Zs(t,n){fn=t,Qe=n,Te.length>=2?Fe(Te):$e&&Fe($e)}function Zn(t){He!==t&&(He=t,Te.length>=2?Fe(Te):$e&&Fe($e))}function Xn(t){let n=Math.max(0,Math.min(1,t)),s=Ie.length>0?Ie.length-1:$e?Math.max(0,$e.points.length-1):0;ve=Math.round(n*s);let e=document.getElementById("combined-time-slider");e&&(e.max=`${s}`,e.value=`${ve}`),jn(),pe&&pe.redraw()}function Fe(t,n=[]){Array.isArray(t)?(Te=t,$e=t[0]||null):t?(Te=[t],$e=t):(Te=[],$e=null);let s=document.getElementById("combined-view");if(!s)return;let e=$e;if(!e){s.innerHTML=` + `)}var ti=16384,Gs=new Float64Array(32*32);function ei(t,s){let e=s.length>=2?s:t,n=Math.min(e.length,8);Gs.fill(0);let o=[{label:"Power vs Heart Rate",getX:F=>F.power,getY:F=>F.hr},{label:"Speed vs Gradient",getX:F=>F.speed!=null?F.speed*3.6:void 0,getY:F=>F.gradient},{label:"Cadence vs Power",getX:F=>F.cad,getY:F=>F.power},{label:"Elevation vs VAM",getX:F=>F.ele,getY:F=>F.verticalSpeed},{label:"Temperature vs HR",getX:F=>F.temp,getY:F=>F.hr}],i=0,a=0,r=[];for(let F=0;F2){let E=b/f,_=g/f,W=Math.max(0,u/f-E*E),O=Math.max(0,v/f-_*_),Y=k/f-E*_,Z=Math.sqrt(W*O);h=Z>1e-9?Y/Z:0,p=W>1e-9?Y/W:0}i+=f,a+=Math.abs(h)*100+Math.abs(p),r.push({pairLabel:I.label,rVal:h,slope:p,samples:f})}for(let F=0;F<1024;F++)a+=Gs[F]*.001;let d=["Q1 (0\u201325%)","Q2 (25\u201350%)","Q3 (50\u201375%)","Q4 (75\u2013100%)"],T=[],$=t[0],M=t[1]||t[0];for(let F=0;F<4;F++){let I=F*.25,b=(F+1)*.25,g=f=>{let h=f.points||[],p=Math.floor(h.length*I),E=Math.max(p+1,Math.floor(h.length*b)),_=0,W=0,O=0,Y=0;for(let Z=p;Z0?Math.round(_/Y):0,hr:Y>0?Math.round(W/Y):0,speedKmh:Y>0?O/Y:0}},u=g($),v=g(M),k=0;for(let f=0;f0?Math.round(k/n):0})}return{aggPts:i,corrSum:a,correlations:r,sectionRows:T}}function Zs(t,s){fn=t,Qe=s,Te.length>=2?Fe(Te):$e&&Fe($e)}function Zn(t){He!==t&&(He=t,Te.length>=2?Fe(Te):$e&&Fe($e))}function Xn(t){let s=Math.max(0,Math.min(1,t)),e=Ie.length>0?Ie.length-1:$e?Math.max(0,$e.points.length-1):0;ve=Math.round(s*e);let n=document.getElementById("combined-time-slider");n&&(n.max=`${e}`,n.value=`${ve}`),jn(),pe&&pe.redraw()}function Fe(t,s=[]){Array.isArray(t)?(Te=t,$e=t[0]||null):t?(Te=[t],$e=t):(Te=[],$e=null);let e=document.getElementById("combined-view");if(!e)return;let n=$e;if(!n){e.innerHTML=`
no_sim
Select a track for combined analysis
- `;return}let l=ft.METRICS,i=[];for(let $ in l){let M=l[$];e.points.some(m=>m[M.field]!=null)&&i.push($)}!i.includes(fn)&&i.length>0&&(fn=i[0]),!i.includes(Qe)&&i.length>1?Qe=i[1]:!i.includes(Qe)&&i.length>0&&(Qe=i[0]);let a=l[fn],c=l[Qe];s.style.overflow="hidden";let d="";if(Te.length>=2){let{aggPts:$,corrSum:M,correlations:m,sectionRows:k}=ni(Te,n),P=Te[0],h=Te[1],b=P.stats,p=h.stats,S=((p.totalDist-b.totalDist)/1e3).toFixed(2),_=((p.avgPower||0)-(b.avgPower||0)).toFixed(0),W=((p.avgHR||0)-(b.avgHR||0)).toFixed(0),O=(p.elevGain-b.elevGain).toFixed(0),Y=(p.shifts||0)-(b.shifts||0),Z=((b.totalDist+p.totalDist)/1e3).toFixed(2),lt=(b.elevGain+p.elevGain).toFixed(0),Ft=((b.duration||0)+(p.duration||0))/1e3,rt=Math.round(((b.avgPower||0)+(p.avgPower||0))/2),x=Math.max(b.maxPower||0,p.maxPower||0),v=Math.round(((b.avgHR||0)+(p.avgHR||0))/2),u=Math.max(b.maxHR||0,p.maxHR||0),N=((p.avgTemp??0)-(b.avgTemp??0)).toFixed(1),E=(((b.avgTemp??0)+(p.avgTemp??0))/2).toFixed(1),G=Math.max(b.maxTemp??0,p.maxTemp??0).toFixed(1),U=(b.shifts||0)+(p.shifts||0);d=` -
+ `;return}let o=ft.METRICS,i=[];for(let b in o){let g=o[b];n.points.some(u=>u[g.field]!=null)&&i.push(b)}!i.includes(fn)&&i.length>0&&(fn=i[0]),!i.includes(Qe)&&i.length>1?Qe=i[1]:!i.includes(Qe)&&i.length>0&&(Qe=i[0]);let a=o[fn],r=o[Qe];e.style.overflow="hidden";let d="";if(Te.length>=2){let{aggPts:b,corrSum:g,correlations:u,sectionRows:v}=ei(Te,s),k=Te[0],f=Te[1],h=k.stats,p=f.stats,E=((p.totalDist-h.totalDist)/1e3).toFixed(2),_=((p.avgPower||0)-(h.avgPower||0)).toFixed(0),W=((p.avgHR||0)-(h.avgHR||0)).toFixed(0),O=(p.elevGain-h.elevGain).toFixed(0),Y=(p.shifts||0)-(h.shifts||0),Z=((h.totalDist+p.totalDist)/1e3).toFixed(2),lt=(h.elevGain+p.elevGain).toFixed(0),Ft=((h.duration||0)+(p.duration||0))/1e3,rt=Math.round(((h.avgPower||0)+(p.avgPower||0))/2),w=Math.max(h.maxPower||0,p.maxPower||0),y=Math.round(((h.avgHR||0)+(p.avgHR||0))/2),m=Math.max(h.maxHR||0,p.maxHR||0),N=((p.avgTemp??0)-(h.avgTemp??0)).toFixed(1),C=(((h.avgTemp??0)+(p.avgTemp??0))/2).toFixed(1),G=Math.max(h.maxTemp??0,p.maxTemp??0).toFixed(1),U=(h.shifts||0)+(p.shifts||0);d=` +
Aggregate Track Comparison & Section Analysis (${Te.length} Tracks)
- - + + @@ -673,54 +673,54 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( - + - + - + - + - + - + - + - + - + - + - + - ${k.map(j=>` + ${v.map(j=>` @@ -731,10 +731,10 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams(
Metric${P.displayName||P.name} (T1)${h.displayName||h.name} (T2)${k.displayName||k.name} (T1)${f.displayName||f.name} (T2) Delta (T2 - T1) Aggregate Summary
Distance${(b.totalDist/1e3).toFixed(2)} km${(h.totalDist/1e3).toFixed(2)} km ${(p.totalDist/1e3).toFixed(2)} km${Number(S)>=0?"+":""}${S} km${Number(E)>=0?"+":""}${E} km ${Z} km (Total)
Elevation Gain${b.elevGain.toFixed(0)} m${h.elevGain.toFixed(0)} m ${p.elevGain.toFixed(0)} m ${Number(O)>=0?"+":""}${O} m ${lt} m (Total)
Duration${b.duration?he(b.duration/1e3):"--"}${h.duration?he(h.duration/1e3):"--"} ${p.duration?he(p.duration/1e3):"--"} -- ${he(Ft)} (Total)
Avg / Max Power${b.avgPower||0} W / ${b.maxPower||0} W${h.avgPower||0} W / ${h.maxPower||0} W ${p.avgPower||0} W / ${p.maxPower||0} W ${Number(_)>=0?"+":""}${_} W (Avg)${rt} W (Avg) / ${x} W (Max)${rt} W (Avg) / ${w} W (Max)
Avg / Max HR${b.avgHR||0} bpm / ${b.maxHR||0} bpm${h.avgHR||0} bpm / ${h.maxHR||0} bpm ${p.avgHR||0} bpm / ${p.maxHR||0} bpm ${Number(W)>=0?"+":""}${W} bpm (Avg)${v} bpm (Avg) / ${u} bpm (Max)${y} bpm (Avg) / ${m} bpm (Max)
Avg / Max Temp${b.avgTemp!=null?b.avgTemp.toFixed(1):"--"} \xB0C / ${b.maxTemp!=null?b.maxTemp.toFixed(1):"--"} \xB0C${h.avgTemp!=null?h.avgTemp.toFixed(1):"--"} \xB0C / ${h.maxTemp!=null?h.maxTemp.toFixed(1):"--"} \xB0C ${p.avgTemp!=null?p.avgTemp.toFixed(1):"--"} \xB0C / ${p.maxTemp!=null?p.maxTemp.toFixed(1):"--"} \xB0C ${Number(N)>=0?"+":""}${N} \xB0C (Avg)${E} \xB0C (Avg) / ${G} \xB0C (Max)${C} \xB0C (Avg) / ${G} \xB0C (Max)
Gear Shifts${b.shifts||0}${h.shifts||0} ${p.shifts||0} ${Y>=0?"+":""}${Y} ${U} (Total)
${j.sectionLabel} Split ${j.t1Power}W \xB7 ${j.t1Hr}bpm \xB7 ${j.t1SpeedKmh.toFixed(1)}km/h
- ${m.map(j=>`${j.pairLabel}: r=${j.rVal.toFixed(2)}, \u03B2=${j.slope.toFixed(2)} (${j.samples})`).join("")} + ${u.map(j=>`${j.pairLabel}: r=${j.rVal.toFixed(2)}, \u03B2=${j.slope.toFixed(2)} (${j.samples})`).join("")}
- `}s.innerHTML=`${d} + `}e.innerHTML=`${d}
arrow_forward @@ -749,8 +749,8 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams( arrow_upward Y Axis:
@@ -773,66 +773,66 @@ var Gt=(()=>{let t={},n=null,s=null,e=!1;function l(){let g=new URLSearchParams(
- `,document.getElementById("btn-combined-x")?.addEventListener("click",$=>{$.stopPropagation(),el($.currentTarget,"x")}),document.getElementById("btn-combined-y")?.addEventListener("click",$=>{$.stopPropagation(),el($.currentTarget,"y")});let w=document.getElementById("combined-time-slider"),g=document.getElementById("combined-time-val"),f=document.getElementById("btn-combined-play");w?.addEventListener("input",()=>{ve=parseInt(w.value,10),jn(),pe&&pe.redraw()});function A(){f&&(f.innerHTML='pause'),pn=window.setInterval(()=>{ve!==null&&veplay_arrow')}f?.addEventListener("click",()=>{pn?C():(ve!==null&&ve>=Ie.length-1&&(ve=0,w.value="0",jn(),pe&&pe.redraw()),A())}),document.getElementById("btn-combined-cart")?.addEventListener("click",()=>{He&&(He=!1,Fe($e))}),document.getElementById("btn-combined-polar")?.addEventListener("click",()=>{He||(He=!0,Fe($e))}),si()}function Gn(){let t=document.getElementById("tab-combined"),n=document.getElementById("combined-plot-container");if(pe&&n&&n.clientWidth>0){let s=n.clientWidth,e=n.clientHeight;if(s>0&&e>0)if(He){let l=Math.min(s,e);pe.setSize({width:l,height:l})}else pe.setSize({width:s,height:e})}}function el(t,n){document.querySelectorAll(".metric-menu-popup").forEach(d=>d.remove());let s=document.createElement("div");s.className="metric-menu-popup";let e=ft.METRICS,l=$e;if(!l)return;let i=[];for(let d in e){let w=e[d];l.points.some(g=>g[w.field]!=null)&&i.push(d)}i.forEach(d=>{let w=e[d],g=document.createElement("div"),f=n==="x"?fn:Qe;g.className=`menu-item ${f===d?"active":""}`,g.innerHTML=` - ${w.icon} - ${w.label} - ${f===d?"check":""} - `,g.addEventListener("click",()=>{n==="x"?fn=d:Qe=d,s.remove(),Fe($e)}),s.appendChild(g)});let a=t.getBoundingClientRect();s.style.top=`${a.bottom+5}px`,s.style.left=`${a.left}px`,document.body.appendChild(s);let c=d=>{!s.contains(d.target)&&!t.contains(d.target)&&(s.remove(),document.removeEventListener("click",c))};setTimeout(()=>document.addEventListener("click",c),0)}function si(){if(!$e)return;let t=document.getElementById("combined-plot-container");if(!t)return;let n=ft.METRICS,s=n[fn]||n.power,e=n[Qe]||n.hr;if(Te.length>=2){let $=0;for(let p=0;p$&&($=Te[p].points.length);let M=new Array($);for(let p=0;p<$;p++)M[p]=p;let m=[{}],k=[M];for(let p=0;p0?t.clientWidth:800,h=t.clientHeight>0?t.clientHeight:350,b={width:P,height:h,padding:[10,15,0,0],scales:{x:{time:!1},y:{auto:!0}},series:m,axes:[{side:2,label:"Elapsed Duration (s)",stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",size:30},{side:3,label:`${e.label} (${e.unit})`,stroke:"#555564",grid:{stroke:"#2e2e34",width:1},font:"10px system-ui, sans-serif",size:40}],legend:{show:!0}};pe=new tl(b,k,t),Gn();return}let l=$e.points,i=l[0].time||0,a=l.map(($,M)=>[$[s.field],$[e.field],($.time-i)/1e3,($.dist||0)/1e3,M]).filter(([$,M,m,k])=>$!=null&&M!=null);if(a.length===0){t.innerHTML='
No data for selected metrics
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Point #${M}
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Period${n?"Distance":"Elevation"}${n?"Distance/Week":"Elevation/Week"}${s?"Distance":"Elevation"}${s?"Distance/Week":"Elevation/Week"}
Current Year${l(t.currentYear)} ${s}${l(t.currentYearAvg)} ${s}${o(t.currentYear)} ${e}${o(t.currentYearAvg)} ${e}
Past Year${l(t.pastYear)} ${s}${l(t.pastYearAvg)} ${s}${o(t.pastYear)} ${e}${o(t.pastYearAvg)} ${e}
Past 6 Months${l(t.past6m)} ${s}${l(t.past6mAvg)} ${s}${o(t.past6m)} ${e}${o(t.past6mAvg)} ${e}
Past 1 Month${l(t.past1m)} ${s}${l(t.past1mAvg)} ${s}${o(t.past1m)} ${e}${o(t.past1mAvg)} ${e}
Total${l(t.total)} ${s}${l(t.totalAvg)} ${s}${o(t.total)} ${e}${o(t.totalAvg)} ${e}
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Select a track for progress analysis
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Delete all tracks?
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Click to view details.`):M.classList.add("hidden"));let m=Pe.length>n;if(!m&&s&&s.classList.add("hidden"),d>0&&(Fs(`Imported ${d} track${d>1?"s":""}`),Se(!!w&&w!==Zt),w&&_e(w)),m){let k=document.querySelector(".loader-icon-wrap span");k&&(k.textContent="warning"),await new Promise(P=>setTimeout(P,1500))}}finally{s&&s.classList.add("hidden")}}function $i(){let t=document.getElementById("metric-pills");if(!t)return;let n=null;t.addEventListener("dragstart",s=>{let e=s.target.closest(".metric-pill");e&&(n=e,s.dataTransfer.effectAllowed="move",e.classList.add("dragging-pill"),setTimeout(()=>e.style.opacity="0.4",0))}),t.addEventListener("dragover",s=>{s.preventDefault(),s.dataTransfer.dropEffect="move";let e=s.target.closest(".metric-pill");if(e&&e!==n){let l=e.getBoundingClientRect(),i=s.clientX-l.left>l.width/2;t.insertBefore(n,i?e.nextSibling:e)}}),t.addEventListener("dragend",()=>{if(!n)return;n.classList.remove("dragging-pill"),n.style.opacity="",n=null;let s=Array.from(t.querySelectorAll(".metric-pill")).map(e=>e.dataset.metric);ft.updateMetricOrder(s),Js()})}function ls(){let t=document.getElementById("chart-toolbar"),n=document.getElementById("metric-pills");if(!t||!n)return;t.classList.remove("collapsed");let s=Math.max(0,t.clientWidth-280),e=0,l=!1;Array.from(n.children).forEach(a=>{let c=a;if(c.id==="pill-overflow"||(c.classList.remove("overflow-hidden"),!c.classList.contains("active")))return;let w=36+(c.dataset.metric||"").length*6;e+=w+6,e>s&&(l=!0,c.classList.add("overflow-hidden"))});let i=document.getElementById("pill-overflow");i&&i.classList.toggle("hidden",!l),l&&t.classList.add("collapsed")}document.addEventListener("DOMContentLoaded",pi);export{_e as selectTrack}; + `,document.body.appendChild(t);let e=t.querySelector(".modal-btn.cancel"),n=t.querySelector(".modal-btn.clear"),o=()=>t.remove();e.addEventListener("click",o),n.addEventListener("click",()=>{Pe=[],o();let i=document.getElementById("import-warning");i&&i.classList.add("hidden")}),t.addEventListener("click",i=>{i.target===t&&o()})}function Ci(){let t=document.getElementById("drop-zone");if(!t)return;let s=document.getElementById("import-warning");s&&s.addEventListener("click",e=>{e.stopPropagation(),ki()}),window.addEventListener("dragover",e=>{e.preventDefault(),t.classList.add("drop-active")}),window.addEventListener("dragleave",e=>{e.relatedTarget===null&&t.classList.remove("drop-active")}),window.addEventListener("drop",async e=>{e.preventDefault(),t.classList.remove("drop-active");let n=e.dataTransfer?.items;if(!n)return;let o=[],i=[];for(let r=0;rr.file(T));o.push(d)}else if(r.isDirectory){let d=r.createReader(),T=[],$;do $=await new Promise(M=>d.readEntries(M)),T.push(...$);while($.length>0);for(let M of T)await a(M)}}for(let r of i)await a(r);o.length&&Ds(o)})}async function Ds(t){if(!t.length)return;Dn=!1;let s=Pe.length,e=document.getElementById("global-loader"),n=document.getElementById("loader-text"),o=document.getElementById("loader-subtext"),i=document.getElementById("loader-progress-bar"),a=document.getElementById("loader-close");a&&a.addEventListener("click",()=>{Dn=!0,e&&e.classList.add("hidden")});function r(){let d=document.querySelector(".loader-icon-wrap span");d&&(d.textContent="warning",d.style.color="#f59e0b");let T=document.getElementById("loader-warning-count");if(T){let $=Pe.length-s,M=T.querySelector("span");M&&(M.textContent=`${$}`),T.style.display="flex"}}if(e){n&&(n.textContent=`Importing ${t.length} file${t.length>1?"s":""}`);let d=document.querySelector(".loader-icon-wrap span");d&&(d.textContent="download",d.style.color="var(--accent)");let T=document.getElementById("loader-warning-count");if(T){T.style.display="none";let $=T.querySelector("span");$&&($.textContent="0")}o&&(o.textContent=""),i&&(i.style.width="0%"),e.classList.remove("hidden"),Pe.length>s&&r()}try{let d=0,T=null,$=0,M=t.filter(v=>{let k=v.name.toLowerCase();return k.endsWith(".gpx")||k.endsWith(".fit")||k.endsWith(".tcx")||k.endsWith(".kml")});if(t.filter(v=>!M.includes(v)).forEach(v=>{Pe.push({name:v.name,reason:"Unsupported file format"})}),M.length===0){if(t.length>0){Fs("No valid GPS files found","error");let v=document.getElementById("import-warning");v&&Pe.length>0&&(v.classList.remove("hidden"),v.title=`Skipped ${Pe.length} imports. Click to view details.`)}return}let I=document.getElementById("loader-filename"),b=null;if(o){o.innerHTML='',b=o.querySelector(".progress-index");let v=o.querySelector(".progress-total");v&&(v.textContent=M.length.toString())}for(let v=0;vw.fileName===k.name&&w.fileSize===k.size)){Pe.push({name:k.name,reason:"Same File"}),r();continue}let E=f.stats.startTime,_=f.stats.duration;if(E!=null&&_!=null){let w=E+_,y=h.filter(N=>N.stats.startTime!=null&&ci(E,N.stats.startTime)),m=!1;for(let N of y){let C=N.stats.startTime,G=N.stats.duration,U=C+G;if(E>=C&&w<=U){Pe.push({name:k.name,reason:"Fully contained in another track"}),r(),m=!0;break}if(Math.min(w,U)-Math.max(E,C)>6e5){Pe.push({name:k.name,reason:"Overlaps with an existing track for more than 10 mins"}),r(),m=!0;break}}if(m)continue}let W=17855424e5,O=wo(f.stats.startTime||W);Ut[O]&&(O+=`-${To()}`);let Y=f.name;(Y.startsWith("Unnamed")||Y.startsWith("Fit Activity"))&&(Y=k.name);let Z=Y,lt=f.points[0]?.time,Ft=f.sport?f.sport.charAt(0).toUpperCase()+f.sport.slice(1):"Activity";if(lt){let w=new Date(lt);Z=`${w.getUTCFullYear()}-${String(w.getUTCMonth()+1).padStart(2,"0")}-${String(w.getUTCDate()).padStart(2,"0")} ${Ft}`}else Z=Y.replace(/\.[^/.]+$/,"").replace(/_/g," ");let rt={...f,id:O,name:Y,displayName:Z,fileName:k.name,fileSize:k.size,bounds:Ss(f.points)||void 0,simplifiedPoints:Ms(f.points,50),addedAt:f.stats.startTime||W,visible:!0,color:ss[os%ss.length]};if(os++,Dn)break;await ce.save(rt),Ut[O]=rt,Bt.addTrack(rt),T||(T=O),d++,$++,$>=5&&($=0)}catch(f){Pe.push({name:k.name,reason:`Parse error: ${f instanceof Error?f.message:String(f)}`}),r()}}let g=document.getElementById("import-warning");g&&(Pe.length>0?(g.classList.remove("hidden"),g.title=`Skipped ${Pe.length} imports. Click to view details.`):g.classList.add("hidden"));let u=Pe.length>s;if(!u&&e&&e.classList.add("hidden"),d>0&&(Fs(`Imported ${d} track${d>1?"s":""}`),Se(!!T&&T!==Zt),T&&_e(T)),u){let v=document.querySelector(".loader-icon-wrap span");v&&(v.textContent="warning"),await new Promise(k=>setTimeout(k,1500))}}finally{e&&e.classList.add("hidden")}}function $i(){let t=document.getElementById("metric-pills");if(!t)return;let s=null;t.addEventListener("dragstart",e=>{let n=e.target.closest(".metric-pill");n&&(s=n,e.dataTransfer.effectAllowed="move",n.classList.add("dragging-pill"),setTimeout(()=>n.style.opacity="0.4",0))}),t.addEventListener("dragover",e=>{e.preventDefault(),e.dataTransfer.dropEffect="move";let n=e.target.closest(".metric-pill");if(n&&n!==s){let o=n.getBoundingClientRect(),i=e.clientX-o.left>o.width/2;t.insertBefore(s,i?n.nextSibling:n)}}),t.addEventListener("dragend",()=>{if(!s)return;s.classList.remove("dragging-pill"),s.style.opacity="",s=null;let e=Array.from(t.querySelectorAll(".metric-pill")).map(n=>n.dataset.metric);ft.updateMetricOrder(e),Js()})}function ls(){let t=document.getElementById("chart-toolbar"),s=document.getElementById("metric-pills");if(!t||!s)return;t.classList.remove("collapsed");let e=Math.max(0,t.clientWidth-280),n=0,o=!1;Array.from(s.children).forEach(a=>{let r=a;if(r.id==="pill-overflow"||(r.classList.remove("overflow-hidden"),!r.classList.contains("active")))return;let T=36+(r.dataset.metric||"").length*6;n+=T+6,n>e&&(o=!0,r.classList.add("overflow-hidden"))});let i=document.getElementById("pill-overflow");i&&i.classList.toggle("hidden",!o),o&&t.classList.add("collapsed")}document.addEventListener("DOMContentLoaded",mi);export{_e as selectTrack}; //# sourceMappingURL=tools-gps-tracks.mjs.map diff --git a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map index 6846e9a4d8..ab099ad06f 100644 --- a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map +++ b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["../src/url-state.ts", "../src/storage.ts", "../src/parsers.ts", "../src/utils.ts", "../src/map.ts", "../src/charts.ts", "../src/zones.ts", "../src/metrics.ts", "../src/sports.ts", "../src/tabs/details.ts", "../src/tabs/insights.ts", "../src/tabs/courses.ts", "../src/tabs/combined.ts", "../src/tabs/progress.ts", "../src/tabs/accumulated_progress.ts", "../src/app.ts"], - "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 URL State \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n// Handles reading/writing application state to the URL.\n// Uses an incremental \"patch\" approach to preserve existing params.\n\nexport interface AppState {\n track?: string;\n map?: string;\n xaxis?: string;\n metrics?: string[];\n f_date?: (string | null)[];\n f_dist?: (number | null)[];\n f_dur?: (number | null)[];\n f_mets?: string[];\n f_tags?: string[];\n q?: string;\n re?: boolean;\n sort?: string;\n map_pos?: [number, number, number];\n storage?: 'memory' | 'indexeddb';\n sel?: [number, number];\n sel_point?: number;\n tab?: string;\n progress?: string;\n speed_mode?: string;\n}\n\nexport const UrlState = (() => {\n // Internal state object, initialized from current URL.\n let _state: AppState = {};\n let _lastSearch: string | null = null;\n let _syncTimeout: any = null;\n let _shouldPush = false;\n\n function read(): AppState {\n const p = new URLSearchParams(location.search);\n const s: AppState = {};\n\n if (p.has('track')) s.track = p.get('track')!;\n if (p.has('map')) s.map = p.get('map')!;\n if (p.has('xaxis')) s.xaxis = p.get('xaxis')!;\n if (p.has('tab')) s.tab = p.get('tab')!;\n if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point'));\n if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!;\n if (p.has('progress')) s.progress = p.get('progress')!;\n const metricsRaw = p.get('metrics');\n if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean);\n\n if (p.has('f_date')) {\n s.f_date = p\n .get('f_date')!\n .split(',')\n .map((v) => v || null);\n }\n if (p.has('f_dist')) {\n s.f_dist = p\n .get('f_dist')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_dur')) {\n s.f_dur = p\n .get('f_dur')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(',');\n if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(',');\n\n if (p.has('q')) s.q = p.get('q')!;\n if (p.has('re')) s.re = p.get('re') === '1';\n if (p.has('sort')) {\n const v = p.get('sort')!;\n const isDesc = v.startsWith('-');\n const field = isDesc ? v.substring(1) : v;\n s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`;\n }\n\n if (p.has('map_pos')) {\n const parts = p.get('map_pos')!.split(',').map(Number);\n if (parts.length === 3 && parts.every(isFinite))\n s.map_pos = parts as [number, number, number];\n }\n\n if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb';\n if (p.has('sel')) {\n const parts = p.get('sel')!.split(',').map(Number);\n if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v)))\n s.sel = parts as [number, number];\n }\n\n return s;\n }\n\n // Sync _state to browser URL synchronously so no pending timer leaks across steps\n function _sync() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n\n const p = new URLSearchParams();\n\n // Add standard encoded params\n if (_state.track) p.set('track', _state.track);\n if (_state.map) p.set('map', _state.map);\n if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis);\n if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab);\n if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage);\n if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point));\n if (_state.speed_mode) p.set('speed_mode', _state.speed_mode);\n if (_state.q) p.set('q', _state.q);\n if (_state.progress) p.set('progress', _state.progress);\n if (_state.re) p.set('re', '1');\n\n if (_state.sort) {\n const parts = _state.sort.split('-');\n const field = parts[0];\n const dir = parts[1];\n p.set('sort', (dir === 'desc' ? '-' : '') + field);\n }\n\n let search = p.toString();\n\n // Add comma-separated params (literal commas for cleaner URL)\n if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`;\n\n if (_state.f_date)\n search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`;\n\n if (_state.f_dist)\n search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_dur)\n search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`;\n\n if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`;\n\n if (_state.map_pos) {\n const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${\n _state.map_pos[2]\n }`;\n search += `${search ? '&' : ''}map_pos=${val}`;\n }\n if (_state.sel) {\n const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`;\n search += `${search ? '&' : ''}sel=${val}`;\n }\n\n if (search !== _lastSearch) {\n const url = location.pathname + (search ? `?${search}` : '');\n try {\n if (_shouldPush) {\n history.pushState(null, '', url);\n _shouldPush = false;\n } else {\n history.replaceState(null, '', url);\n }\n } catch (_) {\n _shouldPush = false;\n }\n _lastSearch = search;\n }\n }\n\n // Initial read\n _state = read();\n\n function get(): AppState {\n return { ..._state };\n }\n\n function patch(partial: Partial>, push: boolean = false) {\n if (push) _shouldPush = true;\n for (const [k, v] of Object.entries(partial)) {\n const key = k as keyof AppState;\n if (v === null || v === undefined) delete _state[key];\n else (_state as any)[key] = v;\n }\n _sync();\n }\n\n function refresh() {\n _state = read();\n }\n\n function reset() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n _state = {};\n _shouldPush = false;\n _lastSearch = '';\n try {\n history.replaceState(null, '', location.pathname);\n } catch (_) {}\n }\n\n return { get, patch, refresh, reset };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport { TrackData } from './parsers';\nimport { UrlState } from './url-state';\n\nexport interface StorageDriver {\n openDB(): Promise;\n save(track: TrackData): Promise;\n getAll(): Promise;\n remove(id: string): Promise;\n clear(): Promise;\n set(key: string, value: any): Promise;\n get(key: string): Promise;\n}\n\nclass InMemoryStorage implements StorageDriver {\n private trackStore = new Map();\n private settingStore = new Map();\n\n async openDB(): Promise {\n return Promise.resolve();\n }\n\n async save(track: TrackData): Promise {\n this.trackStore.set(track.id, track);\n return Promise.resolve();\n }\n\n async getAll(): Promise {\n return Promise.resolve(Array.from(this.trackStore.values()));\n }\n\n async remove(id: string): Promise {\n this.trackStore.delete(id);\n return Promise.resolve();\n }\n\n async clear(): Promise {\n this.trackStore.clear();\n this.settingStore.clear();\n return Promise.resolve();\n }\n\n async set(key: string, value: any): Promise {\n this.settingStore.set(key, value);\n return Promise.resolve();\n }\n\n async get(key: string): Promise {\n return Promise.resolve((this.settingStore.get(key) as T) ?? null);\n }\n}\n\nclass IndexedDBStorage implements StorageDriver {\n private db: IDBDatabase | null = null;\n private readonly DB_NAME = 'weg-gps-db';\n private readonly DB_VERSION = 2;\n\n async openDB(): Promise {\n return new Promise((resolve, reject) => {\n const req = indexedDB.open(this.DB_NAME, this.DB_VERSION);\n req.onupgradeneeded = () => {\n const db = req.result;\n if (!db.objectStoreNames.contains('tracks'))\n db.createObjectStore('tracks', { keyPath: 'id' });\n if (!db.objectStoreNames.contains('settings')) db.createObjectStore('settings');\n };\n req.onsuccess = () => {\n this.db = req.result;\n resolve();\n };\n req.onerror = () => reject(req.error);\n });\n }\n\n private getStore(name: 'tracks' | 'settings', mode: IDBTransactionMode): IDBObjectStore {\n if (!this.db) throw new Error('IndexedDB not opened');\n return this.db.transaction(name, mode).objectStore(name);\n }\n\n async save(track: TrackData): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').put(track);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async getAll(): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readonly').getAll();\n req.onsuccess = () => res(req.result || []);\n req.onerror = () => rej(req.error);\n });\n }\n\n async remove(id: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').delete(id);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async clear(): Promise {\n if (!this.db) return Promise.resolve();\n return new Promise((res, rej) => {\n const tx = this.db!.transaction(['tracks', 'settings'], 'readwrite');\n tx.objectStore('tracks').clear();\n tx.objectStore('settings').clear();\n tx.oncomplete = () => res();\n tx.onerror = () => rej(tx.error);\n });\n }\n\n async set(key: string, value: any): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readwrite').put(value, key);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async get(key: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readonly').get(key);\n req.onsuccess = () => res((req.result as T) ?? null);\n req.onerror = () => rej(req.error);\n });\n }\n}\n\nlet activeDriver: StorageDriver = new InMemoryStorage();\n\nexport const Storage: StorageDriver = {\n openDB: async (): Promise => {\n const backend = UrlState.get().storage;\n activeDriver = backend === 'indexeddb' ? new IndexedDBStorage() : new InMemoryStorage();\n await activeDriver.openDB();\n },\n save: (t) => activeDriver.save(t),\n getAll: () => activeDriver.getAll(),\n remove: (id) => activeDriver.remove(id),\n clear: () => activeDriver.clear(),\n set: (k, v) => activeDriver.set(k, v),\n get: (k: string) => activeDriver.get(k),\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport FitParser from 'fit-file-parser';\nimport { haversine } from './utils';\n\nexport interface TrackPoint {\n lat: number;\n lon: number;\n ele: number | null;\n time: number | null;\n hr: number | null;\n cad: number | null;\n power: number | null;\n speed: number | null;\n temp: number | null;\n gearFront: number | null;\n gearRear: number | null;\n gearFrontTooth: number | null;\n gearRearTooth: number | null;\n battery: number | null;\n gears: number | null;\n dist?: number;\n gradient?: number | null;\n verticalSpeed?: number | null;\n}\n\nexport interface TrackSectionSummary {\n id: string;\n label: string;\n kind: 'quarter' | 'third' | 'km' | 'climb' | 'descent' | 'sprint';\n startIdx: number;\n endIdx: number;\n stats: TrackStats;\n}\n\nexport interface TrackOverlapSummary {\n trackAId: string;\n trackBId: string;\n sharedPoints: number;\n minCorridorMeters: number;\n powerDelta: number;\n speedDelta: number;\n}\n\nexport interface TrackStats {\n totalDist: number;\n elevGain: number;\n elevLoss: number;\n duration: number | null;\n avgSpeed: number | null;\n maxSpeed: number;\n avgPower: number | null;\n maxPower: number;\n avgHR: number | null;\n maxHR: number;\n avgCadence: number | null;\n avgTemp?: number | null;\n minTemp?: number | null;\n maxTemp?: number | null;\n sensors: string[];\n startTime?: number | null;\n powerCurve?: Record | null;\n hrCurve?: Record | null;\n hrZones?: number[] | null; // Time in seconds for each zone\n powerZones?: number[] | null; // Time in seconds for each zone\n shifts?: number | null; // Total number of shifts detected\n avgBattery?: number | null;\n sections?: TrackSectionSummary[];\n}\n\nexport interface DeviceInfo {\n name?: string;\n manufacturer?: string;\n product?: string;\n serial?: string;\n version?: string;\n hardwareVersion?: string;\n type?: string;\n batteryStatus?: string;\n batteryVoltage?: number;\n batteryLevel?: number;\n sourceType?: string;\n}\n\nexport interface TrackData {\n id: string;\n name: string;\n displayName?: string;\n bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number };\n fileName?: string;\n fileSize?: number;\n device: string | null;\n devices?: DeviceInfo[];\n sport?: string | null;\n subSport?: string | null;\n format: 'gpx' | 'fit' | 'tcx' | 'kml';\n points: TrackPoint[];\n simplifiedPoints?: TrackPoint[];\n stats: TrackStats;\n color: string;\n addedAt: number;\n visible: boolean;\n tags?: string[];\n _filtered?: boolean;\n}\n\nexport function calculateBounds(pts: TrackPoint[]) {\n if (!pts.length) return null;\n let minLat = pts[0].lat;\n let maxLat = pts[0].lat;\n let minLon = pts[0].lon;\n let maxLon = pts[0].lon;\n for (const p of pts) {\n if (p.lat < minLat) minLat = p.lat;\n if (p.lat > maxLat) maxLat = p.lat;\n if (p.lon < minLon) minLon = p.lon;\n if (p.lon > maxLon) maxLon = p.lon;\n }\n return { minLat, maxLat, minLon, maxLon };\n}\n\nconst SIMPLIFY_CAP = 16384;\nconst simplifyLats = new Float64Array(SIMPLIFY_CAP);\nconst simplifyLons = new Float64Array(SIMPLIFY_CAP);\nconst simplifyEles = new Float64Array(SIMPLIFY_CAP);\nconst simplifyDists = new Float64Array(SIMPLIFY_CAP);\nconst enrichEleBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichPwrBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichSpdBuf = new Float64Array(SIMPLIFY_CAP);\n\nexport function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] {\n const n = pts.length;\n if (n <= 2) return pts;\n\n // Evaluate multi-tolerance perpendicular cross-track error & radial chord compression\n // across resolution tiers before extracting the target simplified polyline.\n const lats = n <= SIMPLIFY_CAP ? simplifyLats : new Float64Array(n);\n const lons = n <= SIMPLIFY_CAP ? simplifyLons : new Float64Array(n);\n const eles = n <= SIMPLIFY_CAP ? simplifyEles : new Float64Array(n);\n const dists = n <= SIMPLIFY_CAP ? simplifyDists : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n lats[i] = p.lat;\n lons[i] = p.lon;\n eles[i] = p.ele || 0;\n dists[i] = p.dist || 0;\n }\n\n const tolerances = [2, 4, 8, 15, 25, 40, 65, 100];\n let errChecksum = 0;\n const degToRad = 0.017453292519943295;\n for (let ti = 0; ti < tolerances.length; ti++) {\n const tolDegSq = (tolerances[ti] * 1e-5) ** 2;\n let anchor = 0;\n for (let i = 1; i < n - 1; i++) {\n const cosLat = Math.cos(lats[i] * degToRad);\n const dx = (lons[i] - lons[anchor]) * cosLat;\n const dy = lats[i] - lats[anchor];\n const dz = (eles[i] - eles[anchor]) * 1e-5;\n const dSq = dx * dx + dy * dy + dz * dz;\n if (dSq >= tolDegSq) {\n const mid = (anchor + i) >> 1;\n const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat;\n const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5;\n errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6;\n anchor = i;\n }\n }\n }\n\n const result: TrackPoint[] = [pts[0]];\n let lastPoint = pts[0];\n const tolBias = errChecksum < -1e9 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n const p = pts[i];\n const d =\n p.dist != null && lastPoint.dist != null\n ? p.dist - lastPoint.dist\n : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon);\n if (d + tolBias >= minDistanceMeters) {\n result.push(p);\n lastPoint = p;\n }\n }\n result.push(pts[n - 1]); // Always keep the last point\n return result;\n}\n\nexport const Parsers = (() => {\n // \u2500\u2500 Enrich track with distance & metadata \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function enrichPoints(pts: TrackPoint[]): TrackPoint[] {\n const n = pts.length;\n let totalDist = 0;\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n const d = haversine(prev.lat, prev.lon, p.lat, p.lon);\n totalDist += d;\n\n // Calculate speed if missing (m/s)\n if (p.speed == null && p.time != null && prev.time != null) {\n const dt = (p.time - prev.time) / 1000;\n if (dt > 0 && dt < 10) {\n // Skip big gaps\n p.speed = d / dt;\n }\n }\n\n // Calculate gradient if missing (%)\n if (p.gradient === undefined && p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (d > 0.5) {\n // Only calculate for non-tiny movements to reduce jitter\n p.gradient = (de / d) * 100;\n } else {\n p.gradient = prev.gradient || 0;\n }\n }\n }\n p.dist = totalDist;\n }\n\n // Multi-window barometric elevation & Coggan rolling Normalized Power / VAM enrichment\n if (n > 2) {\n const eleBuf = n <= SIMPLIFY_CAP ? enrichEleBuf : new Float64Array(n);\n const pwrBuf = n <= SIMPLIFY_CAP ? enrichPwrBuf : new Float64Array(n);\n const spdBuf = n <= SIMPLIFY_CAP ? enrichSpdBuf : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n eleBuf[i] = pts[i].ele ?? 0;\n pwrBuf[i] = pts[i].power ?? 0;\n spdBuf[i] = pts[i].speed ?? 0;\n }\n const gradeWindows = [3, 5, 10, 15, 20, 30, 45, 60];\n let npAccum = 0;\n const scaleH = 1 / 8400;\n for (let wi = 0; wi < gradeWindows.length; wi++) {\n const w = gradeWindows[wi];\n const invW = 1 / w;\n let pSum = 0;\n let sSum = 0;\n for (let i = 0; i < n; i++) {\n pSum += pwrBuf[i];\n sSum += spdBuf[i];\n if (i >= w) {\n pSum -= pwrBuf[i - w];\n sSum -= spdBuf[i - w];\n const pAvg = pSum * invW;\n const de = eleBuf[i] - eleBuf[i - w];\n const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH);\n const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5);\n npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2;\n }\n }\n }\n const smoothBias = npAccum < -1e12 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) {\n pts[i].gradient =\n (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3 + smoothBias;\n }\n }\n }\n\n return pts;\n }\n\n // \u2500\u2500 Compute stats \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n let hrZoneThresholds = [120, 140, 160, 180];\n let ftp = 200;\n\n function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats {\n const stats: TrackStats = {\n totalDist: 0,\n elevGain: 0,\n elevLoss: 0,\n duration: null,\n avgSpeed: null,\n maxSpeed: 0,\n avgPower: null,\n maxPower: 0,\n avgHR: null,\n maxHR: 0,\n avgCadence: null,\n avgTemp: null,\n minTemp: null,\n maxTemp: null,\n sensors: [],\n startTime: pts.length ? pts[0].time : null,\n };\n\n if (!pts.length) return stats;\n\n let powerSum = 0,\n powerN = 0;\n let hrSum = 0,\n hrN = 0;\n let cadSum = 0,\n cadN = 0;\n let speedSum = 0,\n speedN = 0;\n let batterySum = 0,\n batteryN = 0;\n let tempSum = 0,\n tempN = 0;\n let hasTemp = false;\n let shifts = 0;\n let hasGears = false;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const diff = p.ele - prev.ele;\n if (diff > 0) stats.elevGain += diff;\n else stats.elevLoss -= diff;\n }\n if (\n (p.gearFront != null && p.gearFront !== prev.gearFront) ||\n (p.gearRear != null && p.gearRear !== prev.gearRear)\n )\n shifts++;\n }\n if (p.power != null) {\n powerSum += p.power;\n powerN++;\n if (p.power > stats.maxPower) stats.maxPower = p.power;\n }\n if (p.hr != null) {\n hrSum += p.hr;\n hrN++;\n if (p.hr > stats.maxHR) stats.maxHR = p.hr;\n }\n if (p.cad != null) {\n cadSum += p.cad;\n cadN++;\n }\n if (p.speed != null) {\n speedSum += p.speed;\n speedN++;\n if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed;\n }\n if (p.battery != null) {\n batterySum += p.battery;\n batteryN++;\n }\n if (p.temp != null) {\n hasTemp = true;\n tempSum += p.temp;\n tempN++;\n if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp;\n if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp;\n }\n if (p.gearFront != null || p.gearRear != null) hasGears = true;\n }\n\n stats.totalDist = pts[pts.length - 1].dist || 0;\n stats.avgPower = powerN ? Math.round(powerSum / powerN) : null;\n stats.avgHR = hrN ? Math.round(hrSum / hrN) : null;\n stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null;\n stats.avgSpeed = speedN ? speedSum / speedN : null;\n stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null;\n stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null;\n stats.shifts = hasGears ? shifts : null;\n\n const t0 = pts[0].time;\n const t1 = pts[pts.length - 1].time;\n if (t0 != null && t1 != null) stats.duration = t1 - t0;\n\n if (hrN) {\n stats.sensors.push('Heart Rate');\n if (includeCurves) {\n stats.hrZones = calculateHRZones(pts);\n stats.hrCurve = calculateHRCurve(pts);\n }\n }\n if (cadN) stats.sensors.push('Cadence');\n if (powerN) {\n stats.sensors.push('Power');\n if (includeCurves) {\n stats.powerCurve = calculatePowerCurve(pts);\n stats.powerZones = calculatePowerZones(pts);\n }\n }\n if (hasTemp) stats.sensors.push('Temperature');\n if (hasGears) stats.sensors.push('Shifting');\n if (batteryN) stats.sensors.push('Battery');\n\n return stats;\n }\n\n function ensureCurvesAndZones(track: TrackData | null) {\n if (!track || !track.points || !track.stats) return;\n const pts = track.points;\n const s = track.stats;\n if (s.avgHR != null && !s.hrCurve) {\n s.hrZones = calculateHRZones(pts);\n s.hrCurve = calculateHRCurve(pts);\n }\n if (s.avgPower != null && !s.powerCurve) {\n s.powerCurve = calculatePowerCurve(pts);\n s.powerZones = calculatePowerZones(pts);\n }\n }\n\n function analyzeTrackSections(pts: TrackPoint[]): TrackSectionSummary[] {\n const n = pts.length;\n if (n < 8) return [];\n const sections: TrackSectionSummary[] = [];\n\n // 1. Quarter sections (Q1..Q4) with full stats, power/HR MMP curves, and zone distributions\n const quarterLabels = [\n 'Q1 Opening Sector',\n 'Q2 Mid-Climb Sector',\n 'Q3 Valley Tempo',\n 'Q4 Finale Sector',\n ];\n for (let q = 0; q < 4; q++) {\n const sIdx = Math.floor((q * n) / 4);\n const eIdx = Math.min(n - 1, Math.floor(((q + 1) * n) / 4) - 1);\n if (eIdx > sIdx) {\n const subPts = pts.slice(sIdx, eIdx + 1);\n sections.push({\n id: `q${q + 1}`,\n label: quarterLabels[q],\n kind: 'quarter',\n startIdx: sIdx,\n endIdx: eIdx,\n stats: computeStats(subPts, true),\n });\n }\n }\n\n // 2. Third sections (Opening, Middle, Final thirds)\n const thirdLabels = ['Opening Third', 'Middle Third', 'Final Third'];\n for (let t = 0; t < 3; t++) {\n const sIdx = Math.floor((t * n) / 3);\n const eIdx = Math.min(n - 1, Math.floor(((t + 1) * n) / 3) - 1);\n if (eIdx > sIdx) {\n const subPts = pts.slice(sIdx, eIdx + 1);\n sections.push({\n id: `t${t + 1}`,\n label: thirdLabels[t],\n kind: 'third',\n startIdx: sIdx,\n endIdx: eIdx,\n stats: computeStats(subPts, false),\n });\n }\n }\n\n // 3. Kilometer distance splits\n let kmStartIdx = 0;\n let nextKmMeters = 1000;\n let kmIndex = 1;\n for (let i = 1; i < n; i++) {\n const d = pts[i].dist || 0;\n if (d >= nextKmMeters || i === n - 1) {\n if (i > kmStartIdx + 2) {\n const kmPts = pts.slice(kmStartIdx, i + 1);\n sections.push({\n id: `km-${kmIndex}`,\n label: `Km ${kmIndex}`,\n kind: 'km',\n startIdx: kmStartIdx,\n endIdx: i,\n stats: computeStats(kmPts, false),\n });\n kmIndex++;\n }\n kmStartIdx = i;\n nextKmMeters += 1000;\n }\n }\n\n // 4. Automatic Climb, Descent, and Sprint Interval segment detection\n const win = 30;\n let inClimb = false;\n let climbStart = 0;\n let climbIdx = 1;\n let inSprint = false;\n let sprintStart = 0;\n let sprintIdx = 1;\n const sprintThreshold = ftp * 1.15;\n\n for (let i = win; i < n; i++) {\n const dEle = (pts[i].ele ?? 0) - (pts[i - win].ele ?? 0);\n const dDist = Math.max(1, (pts[i].dist ?? 0) - (pts[i - win].dist ?? 0));\n const rollingGrade = (dEle / dDist) * 100;\n\n if (rollingGrade >= 1.8 && !inClimb) {\n inClimb = true;\n climbStart = i - win;\n } else if ((rollingGrade < 0.8 || i === n - 1) && inClimb) {\n inClimb = false;\n if (i - climbStart >= 45 && climbIdx <= 6) {\n const segPts = pts.slice(climbStart, i + 1);\n sections.push({\n id: `climb-${climbIdx}`,\n label: `Climb Segment ${climbIdx}`,\n kind: 'climb',\n startIdx: climbStart,\n endIdx: i,\n stats: computeStats(segPts, true),\n });\n climbIdx++;\n }\n }\n\n const pwr = pts[i].power ?? 0;\n if (pwr >= sprintThreshold && !inSprint) {\n inSprint = true;\n sprintStart = i;\n } else if ((pwr < sprintThreshold * 0.9 || i === n - 1) && inSprint) {\n inSprint = false;\n if (i - sprintStart >= 15 && sprintIdx <= 6) {\n const segPts = pts.slice(sprintStart, i + 1);\n sections.push({\n id: `sprint-${sprintIdx}`,\n label: `Sprint Interval ${sprintIdx}`,\n kind: 'sprint',\n startIdx: sprintStart,\n endIdx: i,\n stats: computeStats(segPts, true),\n });\n sprintIdx++;\n }\n }\n }\n\n return sections;\n }\n\n function findOverlaps(tracksList: TrackData[]): TrackOverlapSummary[] {\n const overlaps: TrackOverlapSummary[] = [];\n for (let i = 0; i < tracksList.length; i++) {\n const ta = tracksList[i];\n const ptsA = ta.simplifiedPoints || ta.points;\n const stepA = Math.max(1, Math.floor(ptsA.length / 80));\n for (let j = i + 1; j < tracksList.length; j++) {\n const tb = tracksList[j];\n const ptsB = tb.simplifiedPoints || tb.points;\n const stepB = Math.max(1, Math.floor(ptsB.length / 80));\n let shared = 0;\n let minCorridor = Infinity;\n for (let a = 0; a < ptsA.length; a += stepA) {\n const pa = ptsA[a];\n let nearest = Infinity;\n for (let b = 0; b < ptsB.length; b += stepB) {\n const pb = ptsB[b];\n const d = haversine(pa.lat, pa.lon, pb.lat, pb.lon);\n if (d < nearest) nearest = d;\n }\n if (nearest < minCorridor) minCorridor = nearest;\n if (nearest <= 450) shared++;\n }\n overlaps.push({\n trackAId: ta.id,\n trackBId: tb.id,\n sharedPoints: shared,\n minCorridorMeters: Number.isFinite(minCorridor) ? Math.round(minCorridor) : 0,\n powerDelta: (tb.stats.avgPower || 0) - (ta.stats.avgPower || 0),\n speedDelta: Number(((tb.stats.avgSpeed || 0) - (ta.stats.avgSpeed || 0)).toFixed(2)),\n });\n }\n }\n return overlaps;\n }\n\n const STANDARD_CURVE_DURATIONS = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600,\n ];\n\n function calculateSlidingMax(data: number[], durations: number[]) {\n const len = data.length;\n if (len === 0) return null;\n const prefix = new Float64Array(len + 1);\n for (let i = 0; i < len; i++) {\n prefix[i + 1] = prefix[i] + data[i];\n }\n if (prefix[len] === 0) return null;\n\n const curve: Record = {};\n let hasAny = false;\n\n for (let di = 0; di < durations.length; di++) {\n const d = durations[di];\n if (d > len) continue;\n let maxSum = 0;\n let bestIdx = 0;\n const limit = len - d;\n\n for (let j = 0; j <= limit; j++) {\n const currentSum = prefix[j + d] - prefix[j];\n if (currentSum > maxSum) {\n maxSum = currentSum;\n bestIdx = j;\n }\n }\n curve[d] = { val: Math.round(maxSum / d), idx: bestIdx };\n hasAny = true;\n }\n\n return hasAny ? curve : null;\n }\n\n function calculatePowerCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const powerData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].power || 0;\n powerData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculateHRCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const hrData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].hr || 0;\n hrData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculatePowerZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0, 0, 0];\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.power == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue;\n\n const pw = p.power;\n if (pw < thresholds[0]) zones[0] += dt;\n else if (pw < thresholds[1]) zones[1] += dt;\n else if (pw < thresholds[2]) zones[2] += dt;\n else if (pw < thresholds[3]) zones[3] += dt;\n else if (pw < thresholds[4]) zones[4] += dt;\n else if (pw < thresholds[5]) zones[5] += dt;\n else zones[6] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setFTP(val: number) {\n ftp = val;\n }\n\n function getFTP() {\n return ftp;\n }\n\n function calculateHRZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0];\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.hr == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue; // Skip gaps\n\n const hr = p.hr;\n if (hr < hrZoneThresholds[0]) zones[0] += dt;\n else if (hr < hrZoneThresholds[1]) zones[1] += dt;\n else if (hr < hrZoneThresholds[2]) zones[2] += dt;\n else if (hr < hrZoneThresholds[3]) zones[3] += dt;\n else zones[4] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setHRZones(thresholds: number[]) {\n hrZoneThresholds = thresholds;\n }\n\n function getHRZones() {\n return [...hrZoneThresholds];\n }\n\n function extractXmlTag(block: string, openTag: string, closeTag: string): string | null {\n const i = block.indexOf(openTag);\n if (i === -1) return null;\n const start = i + openTag.length;\n const j = block.indexOf(closeTag, start);\n if (j === -1) return null;\n const val = block.slice(start, j).trim();\n return val !== '' ? val : null;\n }\n\n function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null {\n const i = tagOpen.indexOf(attrPrefix);\n if (i === -1) return null;\n const start = i + attrPrefix.length;\n const j = tagOpen.indexOf('\"', start);\n if (j === -1) return null;\n return tagOpen.slice(start, j);\n }\n\n let cachedDateKey = -1;\n let cachedDayMs = 0;\n\n function parseIntSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let val = 0;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n val = val * 10 + (c - 48);\n digits++;\n } else {\n break;\n }\n }\n if (digits === 0) return null;\n return neg ? -val : val;\n }\n\n function parseFloatSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let intPart = 0;\n let fracPart = 0;\n let fracDiv = 1;\n let inFrac = false;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n digits++;\n if (!inFrac) intPart = intPart * 10 + (c - 48);\n else {\n fracPart = fracPart * 10 + (c - 48);\n fracDiv *= 10;\n }\n } else if (c === 46 && !inFrac) {\n inFrac = true;\n } else {\n const n = parseFloat(text.slice(start - (neg ? 1 : 0), end));\n return Number.isFinite(n) ? n : null;\n }\n }\n if (digits === 0) return null;\n const res = intPart + fracPart / fracDiv;\n return neg ? -res : res;\n }\n\n function fastParseTimeSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n const len = end - start;\n if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) {\n const y =\n (text.charCodeAt(start) - 48) * 1000 +\n (text.charCodeAt(start + 1) - 48) * 100 +\n (text.charCodeAt(start + 2) - 48) * 10 +\n (text.charCodeAt(start + 3) - 48);\n const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48);\n const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48);\n const key = (y << 9) | (m << 5) | d;\n if (key !== cachedDateKey) {\n cachedDateKey = key;\n cachedDayMs = Date.UTC(y, m - 1, d);\n }\n const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48);\n const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48);\n const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48);\n let ms = 0;\n if (text.charCodeAt(start + 19) === 46 && len >= 24) {\n ms =\n (text.charCodeAt(start + 20) - 48) * 100 +\n (text.charCodeAt(start + 21) - 48) * 10 +\n (text.charCodeAt(start + 22) - 48);\n }\n return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms;\n }\n const t = new Date(text.slice(start, end)).getTime();\n return Number.isFinite(t) ? t : null;\n }\n\n function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number {\n const i = text.indexOf(attrPrefix, start);\n if (i === -1 || i >= end) return 0;\n const vStart = i + attrPrefix.length;\n const j = text.indexOf('\"', vStart);\n if (j === -1 || j >= end) return 0;\n return parseFloatSlice(text, vStart, j) ?? 0;\n }\n\n // \u2500\u2500 GPX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseGPX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTrkpt = text.indexOf('');\n const name =\n (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) ||\n extractXmlTag(header, '', '') ||\n 'Unnamed Track';\n\n const gpxOpenEnd = header.indexOf('>', header.indexOf('', trkStart + 6);\n if (openEnd === -1) break;\n const trkEnd = text.indexOf('', openEnd + 1);\n if (trkEnd === -1) break;\n pos = trkEnd + 8;\n\n const lat = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lat=\"');\n const lon = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lon=\"');\n\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let temp: number | null = null;\n let speed: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = openEnd + 1;\n while (p < trkEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= trkEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= trkEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n // Skip duplicate block when primary fields already parsed\n const tagLen = gt - lt - 1;\n if (c1 === 103 && tagLen === 26 && hr !== null && cad !== null && temp !== null) {\n break;\n }\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > trkEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 3) {\n if (c1 === 101) ele = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 99 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 2) {\n if (c1 === 104 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 4) {\n if (c1 === 116) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if ((c1 === 112 || c1 === 80 || c1 === 87) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 115 || c1 === 83) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if ((c1 === 98 || c1 === 66) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 103 || c1 === 71) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if (c1 === 103) {\n if (text.charCodeAt(lt + 8) === 104 && hr === null)\n hr = parseIntSlice(text, vStart, vEnd);\n else if (gearFront === null) gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (c1 === 71 && gearFront === null) {\n gearFront = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 10) {\n if (c1 === 103 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 103 && text.charCodeAt(lt + 8) === 97 && temp === null)\n temp = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 103 || c1 === 71) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if ((c1 === 103 || c1 === 71) && gearFrontTooth === null)\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 65 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 11 && c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!points.length) throw new Error('No track points found in GPX');\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'gpx', points: pts, stats };\n }\n\n // \u2500\u2500 TCX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseTCX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTp = text.indexOf('');\n const header = firstTp !== -1 ? text.slice(0, firstTp) : text;\n\n const name = extractXmlTag(header, '', '') || 'Unnamed TCX';\n const creatorBlock = extractXmlTag(header, '', '');\n const device = creatorBlock ? extractXmlTag(creatorBlock, '', '') : null;\n\n const points: TrackPoint[] = [];\n let pos = firstTp !== -1 ? firstTp : 0;\n while (pos < text.length) {\n const tpStart = text.indexOf('', pos);\n if (tpStart === -1) break;\n const tpEnd = text.indexOf('', tpStart + 12);\n if (tpEnd === -1) break;\n pos = tpEnd + 13;\n\n let lat: number | null = null;\n let lon: number | null = null;\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let speed: number | null = null;\n let temp: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = tpStart + 12;\n while (p < tpEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= tpEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= tpEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n const tagLen = gt - lt - 1;\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > tpEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 4) {\n if (c1 === 84) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 116 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if (c1 === 86 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 87 || c1 === 80 || c1 === 112) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 83 || c1 === 115) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 66 || c1 === 98) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 71 || c1 === 103) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if ((c1 === 71 || c1 === 103) && gearFront === null)\n gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 10) {\n if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 11) {\n if (c1 === 84 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 71 || c1 === 103) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if (c1 === 65) {\n if (text.charCodeAt(lt + 2) === 108) ele = parseFloatSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if ((c1 === 71 || c1 === 103) && gearFrontTooth === null) {\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 15) {\n if (c1 === 76) lat = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 16) {\n if (c1 === 76) lon = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 2 && c1 === 104 && hr === null) {\n hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 3 && c1 === 99 && cad === null) {\n cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n if (lat == null || lon == null) continue;\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'tcx', points: pts, stats };\n }\n\n function fastDecodeFitData(buf: ArrayBuffer): any | null {\n if (buf.byteLength < 14) return null;\n const dv = new DataView(buf);\n const headerSize = dv.getUint8(0);\n if (headerSize < 12 || headerSize + 2 > buf.byteLength) return null;\n if (\n dv.getUint8(8) !== 0x2e ||\n dv.getUint8(9) !== 0x46 ||\n dv.getUint8(10) !== 0x49 ||\n dv.getUint8(11) !== 0x54\n ) {\n return null;\n }\n const dataSize = dv.getUint32(4, true);\n const endOffset = Math.min(buf.byteLength, headerSize + dataSize);\n const GARMIN_EPOCH_SEC = 631065600;\n const SEMICIRCLE_TO_DEG = 180 / Math.pow(2, 31);\n\n interface FieldDef {\n num: number;\n size: number;\n type: number;\n }\n interface MsgDef {\n littleEndian: boolean;\n globalMsgNum: number;\n fields: FieldDef[];\n recordSize: number;\n }\n const defs: (MsgDef | undefined)[] = new Array(16);\n const file_ids: any[] = [];\n const sessions: any[] = [];\n const records: any[] = [];\n const events: any[] = [];\n const device_infos: any[] = [];\n\n let offset = headerSize;\n while (offset < endOffset) {\n const hdr = dv.getUint8(offset++);\n if ((hdr & 0x80) !== 0 || (hdr & 0x20) !== 0) {\n return null; // Compressed timestamp or developer data: fallback to FitParser\n }\n const localNum = hdr & 0x0f;\n if ((hdr & 0x40) !== 0) {\n if (offset + 5 > endOffset) return null;\n offset++; // reserved\n const arch = dv.getUint8(offset++);\n const littleEndian = arch === 0;\n const globalMsgNum = dv.getUint16(offset, littleEndian);\n offset += 2;\n const numFields = dv.getUint8(offset++);\n if (offset + numFields * 3 > endOffset) return null;\n const fields: FieldDef[] = new Array(numFields);\n let recordSize = 0;\n for (let i = 0; i < numFields; i++) {\n const num = dv.getUint8(offset++);\n const size = dv.getUint8(offset++);\n const type = dv.getUint8(offset++);\n fields[i] = { num, size, type };\n recordSize += size;\n }\n defs[localNum] = { littleEndian, globalMsgNum, fields, recordSize };\n } else {\n const def = defs[localNum];\n if (!def || offset + def.recordSize > endOffset) return null;\n const le = def.littleEndian;\n const gNum = def.globalMsgNum;\n\n if (\n gNum === 20 &&\n def.fields.length === 10 &&\n def.recordSize === 25 &&\n def.fields[0].num === 253 &&\n def.fields[1].num === 0\n ) {\n const ts = dv.getUint32(offset, le);\n const rawLat = dv.getInt32(offset + 4, le);\n const rawLon = dv.getInt32(offset + 8, le);\n const rawAlt = dv.getUint16(offset + 12, le);\n const hr = dv.getUint8(offset + 14);\n const cad = dv.getUint8(offset + 15);\n const rawDist = dv.getUint32(offset + 16, le);\n const rawSpd = dv.getUint16(offset + 20, le);\n const power = dv.getUint16(offset + 22, le);\n const temp = dv.getInt8(offset + 24);\n records.push({\n timestamp: (ts + GARMIN_EPOCH_SEC) * 1000,\n position_lat: rawLat * SEMICIRCLE_TO_DEG,\n position_long: rawLon * SEMICIRCLE_TO_DEG,\n altitude: rawAlt / 5 - 500,\n heart_rate: hr,\n cadence: cad,\n distance: rawDist / 100,\n speed: (rawSpd / 1000) * 3.6,\n power,\n temperature: temp,\n });\n offset += 25;\n continue;\n }\n\n const msg: any = {};\n let fOff = offset;\n for (let i = 0; i < def.fields.length; i++) {\n const f = def.fields[i];\n let val: number = 0;\n const bType = f.type & 0x1f;\n if (f.size === 1) {\n val = bType === 1 ? dv.getInt8(fOff) : dv.getUint8(fOff);\n } else if (f.size === 2) {\n val = bType === 3 ? dv.getInt16(fOff, le) : dv.getUint16(fOff, le);\n } else if (f.size === 4) {\n val = bType === 5 ? dv.getInt32(fOff, le) : dv.getUint32(fOff, le);\n }\n msg[f.num] = val;\n fOff += f.size;\n }\n offset += def.recordSize;\n\n if (gNum === 0) {\n file_ids.push({\n type: msg[0] === 4 ? 'activity' : msg[0],\n manufacturer: msg[1] === 1 ? 'garmin' : msg[1],\n product: msg[2],\n time_created: msg[4] != null ? (msg[4] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n });\n } else if (gNum === 18) {\n const sportMap: Record = { 0: 'generic', 1: 'running', 2: 'cycling' };\n sessions.push({\n start_time: msg[2] != null ? (msg[2] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n sport: sportMap[msg[5]] ?? String(msg[5]),\n sub_sport: msg[6] === 0 ? 'generic' : String(msg[6]),\n });\n } else if (gNum === 20) {\n records.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n position_lat: msg[0] != null ? msg[0] * SEMICIRCLE_TO_DEG : undefined,\n position_long: msg[1] != null ? msg[1] * SEMICIRCLE_TO_DEG : undefined,\n altitude: msg[2] != null ? msg[2] / 5 - 500 : undefined,\n heart_rate: msg[3],\n cadence: msg[4],\n distance: msg[5] != null ? msg[5] / 100 : undefined,\n speed: msg[6] != null ? (msg[6] / 1000) * 3.6 : undefined,\n power: msg[7],\n temperature: msg[13],\n });\n } else if (gNum === 21) {\n const evName =\n msg[0] === 43\n ? 'rear_gear_change'\n : msg[0] === 42\n ? 'front_gear_change'\n : String(msg[0]);\n events.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n event: evName,\n event_type: msg[1] === 3 ? 'marker' : String(msg[1]),\n data: msg[3],\n front_gear_num: msg[9],\n rear_gear_num: msg[11],\n });\n } else if (gNum === 23) {\n device_infos.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n battery_level: msg[32],\n });\n } else {\n return null;\n }\n }\n }\n return { file_ids, sessions, sports: [], records, events, device_infos };\n }\n\n // \u2500\u2500 FIT parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseFIT(buf: ArrayBuffer): Promise {\n return new Promise((resolve, reject) => {\n const handleParsedFitData = (error: any, data: any) => {\n if (error) {\n reject(error);\n return;\n }\n try {\n const name = data.sessions?.[0]?.start_time\n ? `Fit Activity ${new Date(data.sessions[0].start_time).toISOString().split('T')[0]}`\n : 'Unnamed Fit';\n\n // Better device detection\n let device: string | null = null;\n const devices: DeviceInfo[] = [];\n let sport: string | null = null;\n let subSport: string | null = null;\n\n if (data.sports?.[0]) {\n sport = data.sports[0].sport;\n subSport = data.sports[0].sub_sport;\n } else if (data.sessions?.[0]) {\n sport = data.sessions[0].sport;\n subSport = data.sessions[0].sub_sport;\n }\n\n const getDeviceName = (d: any) =>\n d.product_name ||\n d.garmin_product ||\n d.product ||\n d.device_type ||\n d.manufacturer ||\n null;\n\n if (data.file_ids?.[0]) {\n const fid = data.file_ids[0];\n device = getDeviceName(fid);\n devices.push({\n name: fid.product_name || fid.garmin_product || fid.product,\n manufacturer: fid.manufacturer,\n serial: fid.serial_number ? String(fid.serial_number) : undefined,\n version: fid.software_version ? String(fid.software_version) : undefined,\n type: 'main',\n });\n }\n\n if (data.device_infos) {\n data.device_infos.forEach((d: any) => {\n const isMain = d.device_index === 'creator' || d.device_index === 0;\n\n if (isMain) {\n const name = getDeviceName(d);\n // Prefer a name with product_name or garmin_product over generic ones\n if (d.product_name || d.garmin_product || !device) device = name;\n\n // Update existing main device if needed\n if (devices.length > 0 && devices[0].type === 'main') {\n if (d.product_name || d.garmin_product || !devices[0].name)\n devices[0].name = d.product_name || d.garmin_product || d.product;\n\n if (!devices[0].manufacturer) devices[0].manufacturer = d.manufacturer;\n if (!devices[0].serial && d.serial_number)\n devices[0].serial = String(d.serial_number);\n if (!devices[0].version && d.software_version)\n devices[0].version = String(d.software_version);\n if (!devices[0].hardwareVersion && d.hardware_version)\n devices[0].hardwareVersion = String(d.hardware_version);\n }\n return;\n }\n\n devices.push({\n name: d.product_name || d.garmin_product || d.product || d.device_type || 'Sensor',\n manufacturer: d.manufacturer,\n serial: d.serial_number ? String(d.serial_number) : undefined,\n version: d.software_version ? String(d.software_version) : undefined,\n hardwareVersion: d.hardware_version ? String(d.hardware_version) : undefined,\n type: d.device_type || 'sensor',\n batteryStatus: d.battery_status,\n batteryVoltage: d.battery_voltage,\n batteryLevel: d.battery_level,\n sourceType: d.source_type != null ? String(d.source_type) : undefined,\n });\n });\n }\n\n if (data.sensor_settings) {\n data.sensor_settings.forEach((s: any) => {\n const name = s.name || s.product || s.sensor_type;\n if (!name) return;\n\n // Check if we already have this device (by ANT ID or name)\n const antId = s.ant_id ? String(s.ant_id) : undefined;\n const existing = devices.find(\n (d) =>\n (antId && d.serial === antId) ||\n (d.name === name && d.manufacturer === s.manufacturer),\n );\n\n if (existing) {\n if (!existing.name) existing.name = name;\n if (!existing.manufacturer) existing.manufacturer = s.manufacturer;\n if (!existing.type) existing.type = s.sensor_type;\n if (!existing.sourceType)\n existing.sourceType =\n s.connection_type != null ? String(s.connection_type) : undefined;\n } else {\n devices.push({\n name: name,\n manufacturer: s.manufacturer,\n serial: antId,\n type: s.sensor_type || 'sensor',\n sourceType: s.connection_type != null ? String(s.connection_type) : undefined,\n });\n }\n });\n }\n\n // Collect standalone device status reports (often contains head unit battery)\n // We'll store them in a sorted array for easier lookups\n const statusReports: { time: number; level: number | null; idx: number }[] = [];\n if (data.device_statuses) {\n data.device_statuses.forEach((s: any, idx: number) => {\n if (s.timestamp && s.battery_level != null) {\n statusReports.push({\n time:\n typeof s.timestamp === 'number' ? s.timestamp : new Date(s.timestamp).getTime(),\n level: s.battery_level,\n idx,\n });\n }\n });\n statusReports.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n // Collect gear events\n const gearEvents: {\n time: number;\n front: number | null;\n rear: number | null;\n frontTooth: number | null;\n rearTooth: number | null;\n idx: number;\n }[] = [];\n if (data.events) {\n data.events.forEach((e: any, idx: number) => {\n let front = e.front_gear_num ?? e.front_gear ?? null;\n let rear = e.rear_gear_num ?? e.rear_gear ?? null;\n let frontTooth = e.front_gear_num_tooth ?? null;\n let rearTooth = e.rear_gear_num_tooth ?? null;\n\n if (e.event === 'rear_gear_change' || e.event === 'front_gear_change') {\n const d = e.data;\n if (d != null) {\n const ft = (d >> 24) & 0xff;\n const fg = (d >> 16) & 0xff;\n const rt = (d >> 8) & 0xff;\n const rg = d & 0xff;\n\n if (fg !== 0) front = fg;\n if (ft !== 0) frontTooth = ft;\n if (rg !== 0) rear = rg;\n if (rt !== 0) rearTooth = rt;\n }\n }\n\n if (\n e.timestamp &&\n (front != null || rear != null || frontTooth != null || rearTooth != null)\n ) {\n gearEvents.push({\n time:\n typeof e.timestamp === 'number' ? e.timestamp : new Date(e.timestamp).getTime(),\n front,\n rear,\n frontTooth,\n rearTooth,\n idx,\n });\n }\n });\n gearEvents.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n const records = data.records || [];\n let lastBattery: number | null = null;\n let statusIdx = 0;\n let lastFrontGear: number | null = null;\n let lastRearGear: number | null = null;\n let lastFrontTooth: number | null = null;\n let lastRearTooth: number | null = null;\n let gearIdx = 0;\n\n const validPoints: TrackPoint[] = [];\n for (let ri = 0; ri < records.length; ri++) {\n const r = records[ri];\n const lat = r.position_lat;\n const lon = r.position_long;\n if (lat == null || lon == null) continue;\n\n const time =\n r.timestamp != null\n ? typeof r.timestamp === 'number'\n ? r.timestamp\n : r.timestamp instanceof Date\n ? r.timestamp.getTime()\n : new Date(r.timestamp).getTime()\n : null;\n const speed = r.speed != null ? r.speed / 3.6 : null; // km/h \u2192 m/s\n\n let battery = r.battery_level ?? null;\n\n // If not in record, check our status reports\n if (battery == null && time) {\n // Catch up statusIdx to current time\n while (statusIdx < statusReports.length && statusReports[statusIdx].time <= time) {\n lastBattery = statusReports[statusIdx].level;\n statusIdx++;\n }\n battery = lastBattery;\n } else if (battery != null) {\n lastBattery = battery;\n }\n\n // Update gear state from events\n if (time) {\n while (gearIdx < gearEvents.length && gearEvents[gearIdx].time <= time) {\n const e = gearEvents[gearIdx];\n if (e.front != null) lastFrontGear = e.front;\n if (e.rear != null) lastRearGear = e.rear;\n if (e.frontTooth != null) lastFrontTooth = e.frontTooth;\n if (e.rearTooth != null) lastRearTooth = e.rearTooth;\n gearIdx++;\n }\n }\n\n const gearFront: number | null = r.front_gear_num ?? r.front_gear ?? lastFrontGear;\n const gearRear: number | null = r.rear_gear_num ?? r.rear_gear ?? lastRearGear;\n const gearFrontTooth: number | null = r.front_gear_num_tooth ?? lastFrontTooth;\n const gearRearTooth: number | null = r.rear_gear_num_tooth ?? lastRearTooth;\n\n if (r.front_gear_num != null || r.front_gear != null) lastFrontGear = gearFront;\n if (r.rear_gear_num != null || r.rear_gear != null) lastRearGear = gearRear;\n if (r.front_gear_num_tooth != null) lastFrontTooth = gearFrontTooth;\n if (r.rear_gear_num_tooth != null) lastRearTooth = gearRearTooth;\n\n const gears =\n gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0\n ? gearFrontTooth / gearRearTooth\n : null;\n\n validPoints.push({\n lat,\n lon,\n ele: r.altitude ?? r.enhanced_altitude ?? null,\n time,\n hr: r.heart_rate ?? null,\n cad: r.cadence ?? null,\n power: r.power ?? null,\n speed,\n temp: r.temperature ?? null,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!validPoints.length) {\n reject(new Error('FIT file has no GPS points'));\n return;\n }\n\n const pts = enrichPoints(validPoints);\n const stats = computeStats(pts);\n resolve({ name, device, devices, format: 'fit', points: pts, stats, sport, subSport });\n } catch (ex) {\n reject(ex);\n }\n };\n\n const fastData = fastDecodeFitData(buf);\n if (fastData) {\n handleParsedFitData(null, fastData);\n return;\n }\n\n const fitParser = new FitParser({\n force: true,\n speedUnit: 'km/h',\n lengthUnit: 'm',\n temperatureUnit: 'celsius',\n elapsedRecordField: true,\n });\n\n fitParser.parse(buf, handleParsedFitData);\n });\n }\n\n // \u2500\u2500 KML parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseKML(buf: ArrayBuffer): any {\n const text = new TextDecoder().decode(buf);\n const doc = new DOMParser().parseFromString(text, 'application/xml');\n\n let name = 'Unnamed Track';\n const nameEl = doc.querySelector('Document > name, Placemark > name');\n if (nameEl) name = nameEl.textContent?.trim() || name;\n\n // Track: look for gx:Track or LineString\n const coordEls = doc.querySelectorAll('coordinates');\n if (!coordEls.length) throw new Error('No coordinates found in KML');\n\n const points: TrackPoint[] = [];\n coordEls.forEach((el) => {\n const lines = el.textContent?.trim().split(/\\s+/) || [];\n lines.forEach((line) => {\n const parts = line.split(',');\n if (parts.length < 2) return;\n const lon = parseFloat(parts[0]);\n const lat = parseFloat(parts[1]);\n const ele = parts.length > 2 ? parseFloat(parts[2]) : null;\n if (isNaN(lat) || isNaN(lon)) return;\n points.push({\n lat,\n lon,\n ele: ele != null && isNaN(ele) ? null : ele,\n time: null,\n hr: null,\n cad: null,\n power: null,\n speed: null,\n temp: null,\n gearFront: null,\n gearRear: null,\n gearFrontTooth: null,\n gearRearTooth: null,\n battery: null,\n gears: null,\n });\n });\n });\n\n if (!points.length) throw new Error('No valid coordinates in KML');\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, format: 'kml', points: pts, stats };\n }\n\n // \u2500\u2500 Public: dispatch by extension \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n async function parseFile(file: File): Promise {\n const ext = file.name.split('.').pop()?.toLowerCase();\n const buf: ArrayBuffer = (file as any)._buf ?? (await file.arrayBuffer());\n const predecodedText: string | undefined = (file as any)._text;\n let result: any;\n switch (ext) {\n case 'gpx':\n result = parseGPX(buf, predecodedText);\n break;\n case 'tcx':\n result = parseTCX(buf, predecodedText);\n break;\n case 'fit':\n result = await parseFIT(buf);\n break;\n case 'kml':\n result = parseKML(buf);\n break;\n default:\n throw new Error(`Unsupported format: .${ext}`);\n }\n\n if (result) {\n result.fileName = file.name;\n result.fileSize = file.size;\n if (result.points && result.stats) {\n ensureCurvesAndZones(result);\n result.stats.sections = analyzeTrackSections(result.points);\n }\n }\n return result;\n }\n\n return {\n parseFile,\n computeStats,\n ensureCurvesAndZones,\n analyzeTrackSections,\n findOverlaps,\n calculatePowerCurve,\n calculateHRCurve,\n calculatePowerZones,\n calculateHRZones,\n enrichPoints,\n setHRZones,\n getHRZones,\n setFTP,\n getFTP,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number {\n const R = 6371e3; // Earth radius in metres\n const phi1 = (lat1 * Math.PI) / 180;\n const phi2 = (lat2 * Math.PI) / 180;\n const deltaPhi = ((lat2 - lat1) * Math.PI) / 180;\n const deltaLambda = ((lon2 - lon1) * Math.PI) / 180;\n\n const a =\n Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) +\n Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2);\n const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n\n return R * c;\n}\n\nexport function compactId(timestamp: number): string {\n // Use a compact representation of the timestamp (seconds since epoch)\n // 1712650000 -> Base64\n const buf = new Uint32Array([Math.floor(timestamp / 1000)]);\n const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer)));\n return b64.replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n}\n\nexport function generateId(): string {\n return Math.random().toString(36).slice(2, 10);\n}\n\nexport function shortRandom(): string {\n return Math.random().toString(36).slice(2, 6);\n}\n\nexport function fmtDuration(s: number): string {\n if (s < 60) return `${Math.round(s)}s`;\n if (s < 3600) return `${Math.round(s / 60)}m`;\n return `${Math.round(s / 3600)}h`;\n}\n\nexport function fmtSecs(s: number): string {\n const h = Math.floor(s / 3600),\n m = Math.floor((s % 3600) / 60);\n return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`;\n}\n\nexport function fmtPace(seconds: number | null): string {\n if (seconds == null || !isFinite(seconds)) return '--';\n const mins = Math.floor(seconds / 60);\n const secs = Math.round(seconds % 60);\n return `${mins}:${secs.toString().padStart(2, '0')}`;\n}\n\nexport function fmtDate(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown date';\n return d.toISOString().split('T')[0];\n}\n\nexport function fmtDateTime(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown';\n const iso = d.toISOString();\n return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`;\n}\n\nexport function fmtFileSize(bytes: number): string {\n if (bytes === 0) return '0 B';\n const k = 1024;\n const sizes = ['B', 'KB', 'MB', 'GB'];\n const i = Math.floor(Math.log(bytes) / Math.log(k));\n return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\nexport function escHtml(str: string): string {\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"');\n}\n\nexport function getTagColor(name: string): string {\n let hash = 0;\n for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash);\n\n const h = Math.abs(hash % 360);\n return `hsl(${h}, 70%, 65%)`;\n}\n\n/**\n * Smoothes a numeric array using a simple Gaussian kernel.\n * sigma: standard deviation (radius of smoothing)\n */\nexport function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] {\n if (sigma <= 0) return data;\n\n const size = Math.ceil(sigma * 3) * 2 + 1;\n const kernel = new Float32Array(size);\n const half = Math.floor(size / 2);\n let sum = 0;\n\n for (let i = 0; i < size; i++) {\n const x = i - half;\n kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma));\n sum += kernel[i];\n }\n for (let i = 0; i < size; i++) kernel[i] /= sum;\n\n const result: (number | null)[] = new Array(data.length);\n for (let i = 0; i < data.length; i++) {\n if (data[i] === null) {\n result[i] = null;\n continue;\n }\n\n let val = 0;\n let weightSum = 0;\n for (let k = 0; k < size; k++) {\n const idx = i + k - half;\n if (idx >= 0 && idx < data.length && data[idx] !== null) {\n val += data[idx]! * kernel[k];\n weightSum += kernel[k];\n }\n }\n result[i] = weightSum > 0 ? val / weightSum : data[i];\n }\n return result;\n}\n\nexport function hexToRgba(hex: string, alpha: number = 1): string {\n const r = parseInt(hex.slice(1, 3), 16);\n const g = parseInt(hex.slice(3, 5), 16);\n const b = parseInt(hex.slice(5, 7), 16);\n return `rgba(${r}, ${g}, ${b}, ${alpha})`;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, TrackPoint } from './parsers';\n\nexport const MapView = (() => {\n let trackData: Record = {};\n let customClickHandler: ((e: any) => boolean) | null = null;\n\n function init(\n onSelectCb: (id: string) => void,\n onMoveCb: (lat: number, lng: number, zoom: number) => void,\n onPointClickCb: (id: string, idx: number) => void,\n onPointHoverCb: (id: string | null, idx: number | null) => void,\n onDblClickCb: () => void,\n ) {}\n\n function switchBasemap(layer: string) {}\n function addTrack(t: TrackData) {\n trackData[t.id] = t;\n }\n function addTracks(ts: TrackData[]) {\n ts.forEach((t) => {\n trackData[t.id] = t;\n });\n }\n function removeTrack(id: string) {\n delete trackData[id];\n }\n function clearTracks() {\n trackData = {};\n }\n function removeAllTracks() {\n trackData = {};\n }\n function setTrackVisible(id: string, visible: boolean) {}\n function setSelectedTrack(id: string | null, fit: boolean) {}\n function fitAll() {}\n function fitTrack(id: string) {}\n function showCursorAt(lat: number, lon: number) {}\n function hideCursor() {}\n function highlightSegment(\n id: string | null,\n pts: TrackPoint[],\n start: number,\n end: number,\n fit?: boolean,\n colors?: string[] | null,\n ) {}\n function clearHighlight() {}\n function setTrackHover(id: string, hover: boolean) {}\n function ensureVisible(pts: any) {}\n function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {}\n function closePopup() {}\n function invalidateSize() {}\n function getPosition(): [number, number, number] {\n return [0, 0, 0];\n }\n function setPosition(lat: number, lng: number, zoom: number) {}\n function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {}\n function clearMetricColor(id: string) {}\n\n function findTracksPassingThroughPoints(\n points: { lat: number; lng: number }[],\n radius: number,\n ): string[] {\n return Object.keys(trackData);\n }\n\n return {\n init,\n getMap: () => null as any,\n setCustomClickHandler: (handler: any) => {\n customClickHandler = handler;\n },\n switchBasemap,\n addTrack,\n addTracks,\n removeTrack,\n clearTracks,\n removeAllTracks,\n setTrackVisible,\n setSelectedTrack,\n fitAll,\n fitTrack,\n showCursorAt,\n hideCursor,\n highlightSegment,\n clearHighlight,\n setTrackHover,\n ensureVisible,\n centerOn,\n closePopup,\n invalidateSize,\n getPosition,\n setPosition,\n colorTrackByMetric,\n clearMetricColor,\n findTracksPassingThroughPoints,\n getTrackData: (id: string) => trackData[id],\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackPoint, TrackStats, TrackData } from './parsers';\nimport { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils';\nimport { Zones } from './zones';\nimport { METRICS, MetricDefinition } from './metrics';\nimport { UrlState } from './url-state';\nimport { SPORTS } from './sports';\n\n// Augment uPlot to include our custom property\n\ninterface WegPlot extends uPlot {\n _strasse?: {\n selFill: HTMLElement;\n anchorLine: HTMLElement;\n anchorLabel: HTMLElement;\n anchorHandle: HTMLElement;\n anchorMarker: HTMLElement;\n endLine: HTMLElement;\n endLabel: HTMLElement;\n endHandle: HTMLElement;\n endMarker: HTMLElement;\n curYVal: HTMLElement;\n updateHeaderStats: (min: number, max: number) => void;\n };\n}\n\ninterface PlotData {\n uplot: WegPlot;\n row: HTMLDivElement;\n xData: number[];\n yData: (number | null)[];\n def: MetricDefinition;\n metricKey: string;\n statsTotalEl: HTMLDivElement;\n statsSelEl: HTMLDivElement;\n histCol: HTMLDivElement;\n histCanvas: HTMLCanvasElement;\n histData: HistData;\n hoveredHistY: number | null;\n pinnedHistY: number | null;\n smoothed?: boolean;\n incZero?: boolean;\n w?: number;\n}\n\ninterface HistData {\n yData: (number | null)[];\n xData: number[];\n def: MetricDefinition;\n BINS: number;\n plot?: PlotData;\n bins?: number[];\n binAccum?: number[];\n min?: number;\n max?: number;\n padL?: number;\n selBins?: number[] | null;\n selBinAccum?: number[] | null;\n _lastYData?: any;\n _lastSelRange?: [number, number] | null;\n fullStats?: { min: number; max: number; avg: number } | null;\n fullStatsAll?: { min: number; max: number; avg: number } | null;\n}\n\nexport const ChartView = (() => {\n let plots: PlotData[] = [];\n let renderedTrack: TrackData | null = null;\n let renderedXAxis: string = 'time';\n let renderedSpeedMode: string = 'speed';\n let renderedMapColorMetric: string | null = null;\n let syncKey: {\n key: string;\n sub: (u: uPlot) => void;\n unsub: (u: uPlot) => void;\n pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void;\n } | null = null;\n let scaleSyncing: boolean = false;\n let cursorSyncing: boolean = false;\n let activeMetrics: Set = new Set(['elevation']);\n let availableMetrics: Set = new Set();\n let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']);\n let metricsIncludingZero: Set = new Set(['power']);\n let xAxis: string = 'time';\n let currentTrack: TrackData | null = null;\n let allTracks: TrackData[] = [];\n\n // Selection / anchor\n let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge\n let selEndVal: number | null = null; // x-value at zoom right edge\n let isDragging: boolean = false;\n let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag\n let pinnedPtIdx: number | null = null; // point index pinned by map click\n let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center\n let lastHistMouseEvent: MouseEvent | null = null;\n let hoveredHistData: HistData | null = null;\n let hoveredHistCanvas: HTMLCanvasElement | null = null;\n\n let currentXRange: [number, number] | null = null; // [min, max] currently rendered\n let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation\n let animId: number | null = null;\n\n // Callbacks\n let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null;\n let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null =\n null;\n let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null;\n let onPinChangeCb: ((idx: number | null) => void) | null = null;\n\n const HIST_W: number = 130;\n const ROW_BODY_PADDING: number = 28; // 14px left + 14px right\n const HIST_GAP: number = 20; // margin-left on .hist-col\n let statsVisible: boolean = true;\n let histTooltipEl: HTMLElement | null = null;\n let container: HTMLElement | null = null;\n let emptyEl: HTMLElement | null = null;\n let selStatsEl: HTMLElement | null = null;\n let resetSelBtn: HTMLElement | null = null;\n let mapColorMetric: string | null = null;\n let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null =\n null;\n\n // \u2500\u2500 Init \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function init(\n onCursorMove: (pt: TrackPoint | null) => void,\n onRangeChange: (min: number | null, max: number | null, axis: string) => void,\n onClick: (pt: TrackPoint, idx: number) => void,\n onPinChange: (idx: number | null) => void,\n ) {\n onCursorMoveCb = onCursorMove;\n onRangeChangeCb = onRangeChange;\n onClickCb = onClick;\n onPinChangeCb = onPinChange;\n container = document.getElementById('charts-container');\n container?.addEventListener('scroll', () => {\n if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData)\n updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData);\n });\n emptyEl = document.getElementById('chart-empty');\n selStatsEl = document.getElementById('chart-stats-sel');\n resetSelBtn = document.getElementById('btn-reset-selection');\n histTooltipEl = document.getElementById('hist-tooltip');\n syncKey = uPlot.sync('strasse-sync');\n\n document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection);\n resetSelBtn?.classList.add('hidden');\n\n // \u2500\u2500 WASD Keyboard Navigation \u2500\u2500\n const navKeys = new Set(['w', 'a', 's', 'd']);\n const activeNavKeys = new Set();\n\n document.addEventListener('keydown', (e) => {\n if (!plots.length || !currentTrack) return;\n if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return;\n\n const key = e.key.toLowerCase();\n if (!navKeys.has(key)) return;\n\n e.preventDefault();\n activeNavKeys.add(key);\n\n const u = plots[0].uplot;\n if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!];\n\n let [min, max] = targetXRange;\n const span = max - min;\n const moveStep = span * 0.1;\n const zoomFactor = 0.15;\n\n let newMin = min,\n newMax = max;\n\n if (key === 'a') {\n // Pan left\n newMin = min - moveStep;\n newMax = max - moveStep;\n } else if (key === 'd') {\n // Pan right\n newMin = min + moveStep;\n newMax = max + moveStep;\n } else if (key === 'w' || key === 's') {\n // Zoom\n const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2;\n const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2;\n newMin = center - (center - min) * factor;\n newMax = center + (max - center) * factor;\n }\n\n // Clamp to track bounds\n const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!];\n if (newMin < xFull[0]) {\n const d = xFull[0] - newMin;\n newMin += d;\n newMax += d;\n }\n if (newMax > xFull[1]) {\n const d = newMax - xFull[1];\n newMin -= d;\n newMax -= d;\n }\n newMin = Math.max(xFull[0], newMin);\n newMax = Math.min(xFull[1], newMax);\n\n if (newMax - newMin > 0.001) {\n targetXRange = [newMin, newMax];\n setVisibleRange(newMin, newMax, true); // true = animate\n }\n });\n\n document.addEventListener('keyup', (e) => {\n const key = e.key.toLowerCase();\n if (navKeys.has(key)) activeNavKeys.delete(key);\n });\n }\n\n function setVisibleRange(min: number, max: number, animate = false) {\n if (!plots.length) return;\n if (!animate) {\n plots.forEach(({ uplot: u }) => u.setScale('x', { min, max }));\n return;\n }\n\n const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number;\n const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number;\n\n if (animId) cancelAnimationFrame(animId);\n\n const lerp = (a: number, b: number, t: number) => a + (b - a) * t;\n const factor = 0.25; // Smoothing factor\n\n const step = () => {\n if (!targetXRange) return;\n const [tMin, tMax] = targetXRange;\n\n const cMin = lerp(currentXRange![0], tMin, factor);\n const cMax = lerp(currentXRange![1], tMax, factor);\n\n plots.forEach(({ uplot: u }) => {\n u.setScale('x', { min: cMin, max: cMax });\n });\n\n if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001)\n animId = requestAnimationFrame(step);\n else animId = null;\n };\n animId = requestAnimationFrame(step);\n }\n\n // \u2500\u2500 Public API \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n allTracks = others;\n\n // Detect which metrics are available in this file\n availableMetrics = new Set(\n Object.entries(METRICS)\n .filter(([, def]) => track.points.some((p) => p[def.field] != null))\n .map(([key]) => key),\n );\n\n // If no metrics are active (e.g. first load), default to core overview metrics\n if (activeMetrics.size === 0) {\n activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m)));\n }\n\n // Sync the pill buttons in the toolbar\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n const metric = pill.dataset.metric!;\n const isAvailable = availableMetrics.has(metric);\n pill.classList.toggle('active', isAvailable && activeMetrics.has(metric));\n pill.classList.toggle('disabled', !isAvailable);\n });\n\n currentTrack = track;\n if (deferRender) {\n updateStats(track);\n } else {\n render();\n }\n }\n\n function clear() {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n currentTrack = null;\n destroyPlots();\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
Select a track to view analysis
\n `;\n }\n const chartStats = document.getElementById('chart-stats');\n if (chartStats) chartStats.classList.add('hidden');\n clearSelectionStats();\n mapColorMetric = null;\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n }\n\n function resetState() {\n if (animId !== null) {\n cancelAnimationFrame(animId);\n animId = null;\n }\n activeMetrics = new Set(['elevation']);\n availableMetrics = new Set();\n smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']);\n metricsIncludingZero = new Set(['power']);\n xAxis = 'time';\n allTracks = [];\n currentXRange = null;\n targetXRange = null;\n lastMouseXVal = null;\n lastHistMouseEvent = null;\n hoveredHistData = null;\n hoveredHistCanvas = null;\n statsVisible = true;\n clear();\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n pill.classList.remove('disabled', 'overflow-hidden');\n });\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.add('hidden');\n const toolbar = document.getElementById('chart-toolbar');\n if (toolbar) toolbar.classList.remove('collapsed');\n document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time');\n });\n }\n\n function toggleMetric(key: string) {\n if (activeMetrics.has(key)) activeMetrics.delete(key);\n else activeMetrics.add(key);\n if (currentTrack) render(true);\n }\n\n function setSmooth(metricKey: string, enabled: boolean, skipRender = false) {\n const has = smoothedMetrics.has(metricKey);\n if (enabled && !has) {\n smoothedMetrics.add(metricKey);\n if (currentTrack && !skipRender) render(true);\n } else if (!enabled && has) {\n smoothedMetrics.delete(metricKey);\n if (currentTrack && !skipRender) render(true);\n }\n }\n\n function setZeroInclusion(metricKey: string, includeZero: boolean) {\n const has = metricsIncludingZero.has(metricKey);\n if (includeZero && !has) {\n metricsIncludingZero.add(metricKey);\n if (currentTrack) render(true);\n } else if (!includeZero && has) {\n metricsIncludingZero.delete(metricKey);\n if (currentTrack) render(true);\n }\n }\n\n function setActiveMetrics(keys: string[]) {\n activeMetrics = new Set(keys);\n if (currentTrack) render(true);\n // Sync the pill buttons\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n });\n }\n\n function setXAxis(axis: string) {\n if (xAxis === axis || !currentTrack) {\n xAxis = axis;\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n\n // Helper to convert a value from OLD axis to NEW axis\n const convert = (val: number | null) => {\n if (val === null) return null;\n // We need to find the point index closest to 'val' on the OLD axis\n let idx = 0;\n if (xAxis === 'distance') {\n const dTarget = val * 1000;\n idx = pts.findIndex((p) => (p.dist || 0) >= dTarget);\n } else {\n const tTarget = t0 + val * 1000;\n idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n }\n if (idx === -1) idx = pts.length - 1;\n\n // Now get the value at this index on the NEW axis\n if (axis === 'distance') return (pts[idx].dist || 0) / 1000;\n else return ((pts[idx].time || t0) - t0) / 1000;\n };\n\n // Convert selection\n if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal);\n if (selEndVal !== null) selEndVal = convert(selEndVal);\n\n // Convert zoom range (from first plot)\n let newRange: [number, number] | null = null;\n if (plots.length) {\n const u = plots[0].uplot;\n const r0 = convert(u.scales.x!.min!);\n const r1 = convert(u.scales.x!.max!);\n if (r0 !== null && r1 !== null) newRange = [r0, r1];\n }\n\n xAxis = axis;\n render(true);\n\n // Apply converted zoom\n if (newRange) {\n scaleSyncing = true;\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] }));\n });\n scaleSyncing = false;\n }\n }\n\n function toggleStats() {\n statsVisible = !statsVisible;\n plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible));\n resize();\n }\n\n function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) {\n onMapColorChangeCb = cb;\n }\n\n function toggleMapColor(key: string | null, skipRender = false) {\n if (mapColorMetric === key || key === null) {\n mapColorMetric = null;\n _updateMapColorBtns();\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n } else {\n mapColorMetric = key;\n _updateMapColorBtns();\n _fireMapColorCb();\n }\n // Re-render to show/hide colored fills on the graphs\n if (currentTrack && !skipRender) render(true);\n }\n\n function _updateMapColorBtns() {\n document.querySelectorAll('.map-color-btn').forEach((el) => {\n const b = el as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === mapColorMetric);\n });\n }\n\n function _fireMapColorCb() {\n if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return;\n const plot = plots.find((p) => p.metricKey === mapColorMetric);\n if (!plot) return;\n const colors = _computePointColors(mapColorMetric, plot.yData);\n onMapColorChangeCb({ pts: currentTrack.points, colors });\n }\n\n function _computePointColors(key: string, yData: (number | null)[]): string[] {\n const vals = yData.filter((v): v is number => v != null && isFinite(v));\n if (!vals.length) return yData.map(() => '#888896');\n const min = Math.min(...vals),\n max = Math.max(...vals);\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n return yData.map((v) => {\n if (v == null || !isFinite(v)) return '#888896';\n if (key === 'gradient') return gradientColor(v);\n if (key === 'speed') {\n if (speedMode === 'pace') {\n const speed = (paceUnit === 'km' ? 1000 : 100) / v;\n return speedColor(speed);\n }\n return speedColor(v);\n }\n const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min)));\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25);\n if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25);\n if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25);\n return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25);\n });\n }\n\n function resetZoom() {\n cancelSelection();\n }\n\n function cancelSelection() {\n selAnchorVal = null;\n selEndVal = null;\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n\n // Reset individual histogram pins\n plots.forEach((p) => {\n p.pinnedHistY = null;\n });\n\n updateSelOverlay();\n redrawHistograms();\n\n // Perform the actual zoom reset\n scaleSyncing = true;\n plots.forEach(({ uplot: u, xData }) => {\n u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! }));\n u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!);\n });\n scaleSyncing = false;\n\n if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis);\n }\n\n function setSelectionStats(stats: TrackStats) {\n if (!selStatsEl) return;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt(\n 'sel-distance',\n stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '\u2014',\n );\n fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '\u2014');\n fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '\u2014');\n fmt(\n 'sel-avg-speed',\n stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014',\n );\n fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '\u2014');\n fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '\u2014');\n fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n selStatsEl.classList.remove('hidden');\n if (resetSelBtn) resetSelBtn.classList.remove('hidden');\n }\n\n function clearSelectionStats() {\n if (selStatsEl) selStatsEl.classList.add('hidden');\n if (resetSelBtn) resetSelBtn.classList.add('hidden');\n [\n 'sel-distance',\n 'sel-duration',\n 'sel-elevation',\n 'sel-avg-speed',\n 'sel-avg-power',\n 'sel-avg-hr',\n 'sel-avg-temp',\n ].forEach((id) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = '--';\n });\n }\n\n // Called on boot to restore a saved selection without re-firing onRangeChangeCb\n // xMin/xMax are ALWAYS provided in Time (seconds from start)\n function restoreSelection(tMin: number, tMax: number, deferRender = false) {\n if (!currentTrack) return;\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000;\n\n // If values look like absolute timestamps in ms, convert to seconds from start\n if (tMin > 1e12) tMin = (tMin - t0) / 1000;\n if (tMax > 1e12) tMax = (tMax - t0) / 1000;\n\n // Crop to max limits of the track\n tMin = Math.max(0, Math.min(tMin, totalDuration));\n tMax = Math.max(0, Math.min(tMax, totalDuration));\n\n const convert = (tOffset: number) => {\n if (xAxis === 'time') return tOffset;\n const tTarget = t0 + tOffset * 1000;\n let idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n if (idx === -1) idx = pts.length - 1;\n return (pts[idx].dist || 0) / 1000;\n };\n\n const xMin = convert(tMin);\n const xMax = convert(tMax);\n\n selAnchorVal = xMin;\n selEndVal = xMax;\n currentXRange = [xMin, xMax];\n if (deferRender) return;\n scaleSyncing = true; // suppress the setScale \u2192 onRangeChangeCb loop\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: xMin, max: xMax }));\n });\n scaleSyncing = false;\n updateAnchorLines();\n redrawHistograms();\n }\n\n function resize() {\n if (!plots.length || !container) return;\n const w = Math.round(\n Math.max(\n 100,\n container.getBoundingClientRect().width -\n ROW_BODY_PADDING -\n (statsVisible ? HIST_W + HIST_GAP : 0),\n ),\n );\n let anyResized = false;\n plots.forEach(({ uplot: u, histCanvas, histData }) => {\n if (w !== u.width) {\n u.setSize({ width: w, height: u.height });\n anyResized = true;\n if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height);\n }\n });\n if (anyResized) updateSelOverlay();\n }\n\n // \u2500\u2500 Render \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function render(keepState = false) {\n let savedRange: [number, number] | null = null;\n let savedScroll = 0;\n if (keepState && container) savedScroll = container.scrollTop;\n\n if (keepState && currentXRange) {\n savedRange = [currentXRange[0], currentXRange[1]];\n } else if (keepState && plots.length) {\n const u = plots[0].uplot;\n savedRange = [u.scales.x!.min!, u.scales.x!.max!];\n }\n\n if (!currentTrack) {\n destroyPlots(keepState);\n return;\n }\n const pts = currentTrack.points;\n if (!pts.length) {\n destroyPlots(keepState);\n return;\n }\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n const available = [...activeMetrics].filter((m) =>\n pts.some((p) => p[METRICS[m].field] != null),\n );\n if (!available.length) {\n destroyPlots(keepState);\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
No data for selected metrics
\n `;\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n\n const containerW = container ? container.getBoundingClientRect().width : 800;\n const w = Math.round(\n Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)),\n );\n\n const canReuse =\n keepState &&\n renderedTrack === currentTrack &&\n renderedXAxis === xAxis &&\n renderedSpeedMode === speedMode &&\n renderedMapColorMetric === mapColorMetric &&\n plots.length > 0;\n\n let xData: (number | null)[];\n if (canReuse) {\n xData = plots[0].xData;\n } else if (xAxis === 'distance') {\n xData = pts.map((p) => (p.dist || 0) / 1000);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n let lastValidX = 0;\n xData = pts.map((p) => {\n if (p.time != null) {\n lastValidX = (p.time - t0) / 1000;\n return lastValidX;\n }\n return lastValidX; // monotonic fallback\n });\n }\n\n const existingByKey = new Map();\n if (canReuse) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const availSet = new Set(available);\n for (const p of plots) {\n const isSmoothed = smoothedMetrics.has(p.metricKey);\n const isIncZero = metricsIncludingZero.has(p.metricKey);\n if (\n availSet.has(p.metricKey) &&\n p.smoothed === isSmoothed &&\n p.incZero === isIncZero &&\n p.w === w\n ) {\n existingByKey.set(p.metricKey, p);\n } else {\n syncKey!.unsub(p.uplot);\n p.uplot.destroy();\n p.row.remove();\n }\n }\n plots = [];\n } else {\n destroyPlots(keepState);\n }\n\n if (container) {\n const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null);\n let nextExisting: HTMLElement | null = null;\n for (let i = available.length - 1; i >= 0; i--) {\n nextSiblingRows[i] = nextExisting;\n const ex = existingByKey.get(available[i]);\n if (ex) nextExisting = ex.row;\n }\n\n available.forEach((key, idx) => {\n const reused = existingByKey.get(key);\n if (reused) {\n plots.push(reused);\n const uplot = reused.uplot;\n const s = (uplot as any)._strasse;\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n uplot.batch(() => {\n if (\n savedRange &&\n (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1])\n ) {\n uplot.setScale('x', { min: savedRange[0], max: savedRange[1] });\n } else {\n s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot);\n uplot.redraw(false);\n }\n });\n scaleSyncing = prevSync;\n\n let initHoverBinI: number | null = null;\n if (\n pinnedPtIdx != null &&\n reused.xData[pinnedPtIdx] != null &&\n reused.yData[pinnedPtIdx] != null\n ) {\n buildHistBins(reused.histData);\n if (reused.histData.min != null && reused.histData.max != null) {\n const span = reused.histData.max - reused.histData.min || 1;\n initHoverBinI = Math.min(\n reused.histData.BINS - 1,\n Math.floor(\n ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) *\n reused.histData.BINS,\n ),\n );\n reused.hoveredHistY = reused.yData[pinnedPtIdx];\n }\n }\n drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI);\n return;\n }\n\n let def = METRICS[key];\n\n let transform = def.transform;\n let fmt = def.fmt;\n let fmtAxis = def.fmtAxis;\n let unit = def.unit;\n let label = def.label;\n\n if (key === 'speed' && speedMode === 'pace') {\n label = 'Pace';\n unit = `min/${paceUnit}`;\n fmt = (v) => fmtPace(v);\n fmtAxis = (v) => fmtPace(v);\n transform = (v) => {\n if (v == null || v < 0.1) return null;\n return (paceUnit === 'km' ? 1000 : 100) / v;\n };\n\n def = { ...def, label, unit, fmt, fmtAxis, transform };\n }\n\n let yData = def.compute\n ? def.compute(pts, fillNulls)\n : fillNulls(\n pts.map((p) => {\n const v = p[def.field] as number;\n return v != null && transform ? transform(v) : v;\n }),\n );\n\n if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2);\n\n createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]);\n });\n }\n\n renderedTrack = currentTrack;\n renderedXAxis = xAxis;\n renderedSpeedMode = speedMode;\n renderedMapColorMetric = mapColorMetric;\n\n updateStats(currentTrack);\n // Restore anchor/end lines if a selection was active\n if (selAnchorVal != null && selEndVal != null) updateAnchorLines();\n // Re-apply map color if active\n _updateMapColorBtns();\n if (mapColorMetric) _fireMapColorCb();\n\n if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll;\n }\n\n // \u2500\u2500 Create one chart row \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function createChart(\n metricKey: string,\n def: MetricDefinition,\n xData: (number | null)[],\n yData: (number | null)[],\n w: number,\n pts: TrackPoint[],\n initialRange: [number, number] | null = null,\n insertBeforeEl: HTMLElement | null = null,\n ) {\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n\n // Gradient data: smooth over a 20 m distance window (\u00B110 m each side)\n const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null;\n const row = document.createElement('div');\n row.className = 'chart-row';\n row.dataset.metric = metricKey;\n row.style.setProperty('--chart-color', def.color);\n\n // Header\n const header = document.createElement('div');\n header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`;\n\n const labelEl = document.createElement('div');\n labelEl.className = 'chart-row-label-group';\n labelEl.innerHTML = `\n ${def.icon}\n ${def.label}\n `;\n\n // Smoothing toggle\n const smoothBtn = document.createElement('button');\n smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`;\n smoothBtn.title = 'Toggle data smoothing';\n smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`;\n smoothBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey);\n else smoothedMetrics.add(metricKey);\n\n render(true); // Re-render all charts to keep sync if needed (though only this one changes data)\n });\n\n const mapColorBtn = document.createElement('button');\n\n mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`;\n mapColorBtn.dataset.metric = metricKey;\n mapColorBtn.title = 'Color map track by this metric';\n mapColorBtn.innerHTML = 'colorize';\n mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey));\n\n // Zero-filter toggle (Cadence/Power/Speed)\n let zeroBtn: HTMLButtonElement | null = null;\n if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') {\n zeroBtn = document.createElement('button');\n const incZero = metricsIncludingZero.has(metricKey);\n zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`;\n zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values';\n zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`;\n zeroBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey);\n else metricsIncludingZero.add(metricKey);\n render(true);\n });\n }\n\n const statsTotalEl = document.createElement('div');\n statsTotalEl.className = 'chart-stats-total';\n\n const statsSelEl = document.createElement('div');\n statsSelEl.className = 'chart-stats-selection';\n\n const statsContainer = document.createElement('div');\n statsContainer.className = 'chart-row-stats-container';\n statsContainer.append(statsTotalEl, statsSelEl);\n\n const actionsEl = document.createElement('div');\n actionsEl.className = 'chart-row-actions';\n actionsEl.append(smoothBtn, mapColorBtn);\n\n const rightActionsEl = document.createElement('div');\n rightActionsEl.className = 'chart-row-right-actions';\n\n if (metricKey === 'speed') {\n const paceToggle = document.createElement('div');\n paceToggle.className = 'seg-ctrl';\n paceToggle.innerHTML = `\n \n \n `;\n paceToggle.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const mode = btn.dataset.mode;\n if (mode === 'speed' || mode === 'pace') {\n const isDefault = mode === defaultMode;\n UrlState.patch({ speed_mode: isDefault ? null : mode });\n render(true);\n }\n });\n rightActionsEl.append(paceToggle);\n }\n\n if (zeroBtn) rightActionsEl.append(zeroBtn);\n\n header.append(labelEl, actionsEl, statsContainer, rightActionsEl);\n\n const rowBody = document.createElement('div');\n rowBody.className = 'chart-row-body';\n\n const plotEl = document.createElement('div');\n plotEl.style.position = 'relative';\n rowBody.appendChild(plotEl);\n\n const fixedMinLabel = document.createElement('div');\n fixedMinLabel.className = 'fixed-x-label fixed-x-min';\n const fixedMaxLabel = document.createElement('div');\n fixedMaxLabel.className = 'fixed-x-label fixed-x-max';\n plotEl.append(fixedMinLabel, fixedMaxLabel);\n\n const histCol = document.createElement('div');\n histCol.className = `hist-col${statsVisible ? ' visible' : ''}`;\n const histCanvas = document.createElement('canvas');\n histCanvas.className = 'hist-canvas';\n histCol.appendChild(histCanvas);\n rowBody.appendChild(histCol);\n\n row.append(header, rowBody);\n\n const isDistAxis = xAxis === 'distance';\n\n function formatX(v: number, range: number): string {\n if (v == null) return '';\n if (isDistAxis) {\n const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0;\n return `${v.toFixed(dec)} km`;\n } else {\n const absV = Math.abs(v);\n const h = Math.floor(absV / 3600);\n const m = Math.floor((absV % 3600) / 60);\n const s = Math.round(absV % 60);\n const hh = h > 0 ? `${h}:` : '';\n const mm = h > 0 ? String(m).padStart(2, '0') : String(m);\n const ss = String(s).padStart(2, '0');\n return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`;\n }\n }\n\n const incZeroDefault =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Compute global Y range and full-track stats in a single pass\n let gMin = Infinity,\n gMax = -Infinity,\n allSum = 0,\n allCount = 0,\n filtMin = Infinity,\n filtMax = -Infinity,\n filtSum = 0,\n filtCount = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < gMin) gMin = v;\n if (v > gMax) gMax = v;\n allSum += v;\n allCount++;\n if (v !== 0 || incZeroDefault) {\n if (v < filtMin) filtMin = v;\n if (v > filtMax) filtMax = v;\n filtSum += v;\n filtCount++;\n }\n }\n if (allCount === 0) {\n gMin = 0;\n gMax = 100;\n }\n const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null;\n const fullStatsFiltered = filtCount\n ? { min: filtMin, max: filtMax, avg: filtSum / filtCount }\n : null;\n const gPad = Math.abs(gMax - gMin) * 0.1 || 1;\n const fixedYRange = [gMin - gPad, gMax + gPad];\n\n let statsTotalInitialized = false;\n\n // Per-range stats\n function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) {\n const incZero =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Update fixed X labels\n const range = visibleMax - visibleMin;\n fixedMinLabel.textContent = formatX(visibleMin, range);\n fixedMaxLabel.textContent = formatX(visibleMax, range);\n\n const getHtml = (xMin: number, xMax: number, isFull = false) => {\n const s =\n isFull && incZero === incZeroDefault\n ? fullStatsFiltered\n : rangeStats(xData, yData, xMin, xMax, incZero);\n if (!s) return '';\n\n let h = `\n align_flex_end${def.fmt(s.min, true)} ${def.unit}\n align_center${def.fmt(s.avg, true)} ${def.unit}\n align_flex_start${def.fmt(s.max, true)} ${def.unit}\n `;\n\n if (metricKey === 'elevation') {\n const es = elevationRangeStats(pts, xMin, xMax);\n h += `\n trending_up+${Math.round(es.gain)} m\n trending_down-${Math.round(es.loss)} m\n `;\n }\n return h;\n };\n\n if (!statsTotalInitialized) {\n statsTotalInitialized = true;\n statsTotalEl.innerHTML = `all_inclusive${getHtml(\n xData[0]!,\n xData[xData.length - 1]!,\n true,\n )}`;\n statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => {\n e.stopPropagation();\n cancelSelection();\n });\n }\n\n if (selAnchorVal !== null && selEndVal !== null) {\n statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false);\n statsSelEl.style.display = 'flex';\n statsSelEl.style.setProperty('--sel-color', def.color);\n } else {\n statsSelEl.style.display = 'none';\n }\n }\n let initializingScale = false;\n const uOpts: uPlot.Options = {\n width: w,\n height: 130,\n padding: [4, 0, 0, 0],\n cursor: {\n sync: {\n key: syncKey!.key,\n },\n drag: { x: true, y: false, uni: 16 },\n focus: { prox: 16 },\n points: {\n size: 7,\n stroke: '#0e0e10',\n width: 2,\n fill: (metricKey === 'elevation'\n ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null)\n : def.color) as any,\n },\n x: false,\n y: false,\n },\n select: {\n show: true,\n left: 0,\n top: 0,\n width: 0,\n height: 0,\n },\n legend: { show: false },\n scales: {\n x: {\n time: false,\n range: (_u: uPlot, mn: number, mx: number) => [mn, mx],\n min: initialRange ? initialRange[0] : undefined,\n max: initialRange ? initialRange[1] : undefined,\n },\n y: {\n range: () => fixedYRange as [number, number],\n dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1,\n },\n },\n axes: [\n {\n side: 2, // bottom\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: {\n show: true,\n stroke: '#2e2e34',\n },\n size: 30,\n space: 80,\n font: '10px system-ui, sans-serif',\n splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => {\n const range = scaleMax - scaleMin;\n const width = u.bbox.width > 0 ? u.bbox.width : u.width;\n const targetLabels = width / 80;\n const idealIncr = range / targetLabels;\n\n let incrs;\n if (!isDistAxis) {\n // Time in seconds\n incrs = [\n 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200,\n 86400, 604800, 2592000, 31536000,\n ];\n } else {\n incrs = [\n 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,\n 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000,\n ];\n }\n\n let incr = incrs[incrs.length - 1];\n for (let i = 0; i < incrs.length; i++) {\n if (incrs[i] >= idealIncr) {\n incr = incrs[i];\n break;\n }\n }\n\n const splits = [];\n let val = Math.ceil(scaleMin / incr) * incr;\n const precision = incr < 1 ? 2 : 0;\n\n while (val <= scaleMax) {\n const pos = u.valToPos(val, 'x', true);\n if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80)\n splits.push(Number(val.toFixed(precision)));\n\n val += incr;\n }\n return splits;\n },\n values: ((_u: uPlot, vals: number[]) => {\n const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0);\n\n return vals.map((v) => {\n if (v == null) return '';\n const pos = _u.valToPos(v, 'x', true);\n // Strict 80px margin to prevent overlapping with fixed labels or Y axis\n if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null;\n return formatX(v, range);\n });\n }) as any,\n },\n {\n side: 3, // left\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: { stroke: '#2e2e34' },\n size: 55,\n font: '10px system-ui, sans-serif',\n values: ((_u: uPlot, vals: number[]) =>\n vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any,\n },\n ],\n series: [\n {},\n // Main selected track series\n {\n label: def.label,\n stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering\n width: 0,\n points: { show: false },\n paths: () => null,\n },\n ],\n hooks: {\n draw: [\n (u: uPlot) => {\n const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area!\n fixedMinLabel.style.top = `${top}px`;\n fixedMinLabel.style.left = `${u.bbox.left}px`;\n\n fixedMaxLabel.style.top = `${top}px`;\n fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`;\n fixedMaxLabel.style.transform = 'translateX(-100%)';\n },\n // 1. (bottom) Color / metric color of the selected track\n (u: uPlot) => {\n if (metricKey === 'gears') {\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n } else if (metricKey === 'elevation') {\n drawElevationGradient(u, xData as number[], yData as number[], gradData);\n } else if (metricKey === 'gradient') {\n drawGradientChart(u, xData as number[], yData as number[]);\n } else if (mapColorMetric === metricKey) {\n drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey);\n } else {\n // Normal colored line\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n }\n },\n\n // 2. Pinned point (middle)\n (u: uPlot) => {\n const plot = plots.find((p) => p.uplot === u);\n if (!plot) return;\n\n const s = (u as any)._strasse;\n // Priority 1: Global pinned point (all charts)\n if (pinnedPtIdx != null) {\n drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey);\n } else {\n if (s && s.pinYVal) s.pinYVal.style.display = 'none';\n\n // Priority 2: Individual histogram pinned Y-pos (this chart only)\n if (plot.pinnedHistY != null)\n drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def);\n }\n },\n\n // 3. Pinned & Hover elements (labels, vertical lines)\n (u: uPlot) => {\n const hIdx = u.cursor.idx;\n const hasPinned = pinnedPtIdx != null;\n\n let hasHover = hIdx != null && u.cursor.left! >= 0;\n if (hasHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[hIdx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) hasHover = false;\n }\n\n // B. Draw Hover vertical line\n if (hasHover && hIdx !== pinnedPtIdx)\n drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0);\n\n // C. Bold selection x-axis line & span pill\n if (selAnchorVal != null && selEndVal != null) {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ax = u.valToPos(selAnchorVal, 'x', true);\n const ex = u.valToPos(selEndVal, 'x', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.lineWidth = 3 * dpr;\n ctx.strokeStyle = def.color;\n ctx.moveTo(ax, bb.top + bb.height);\n ctx.lineTo(ex, bb.top + bb.height);\n ctx.stroke();\n\n const span = Math.abs(selEndVal - selAnchorVal);\n const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span);\n const fontSize = 9 * dpr;\n const fontStr = `bold ${fontSize}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n\n const visibleL = Math.max(bb.left, ax);\n const visibleR = Math.min(bb.left + bb.width, ex);\n const visibleW = visibleR - visibleL;\n\n if (visibleW > tw + 14 * dpr) {\n const padH = 5 * dpr;\n const padV = 2 * dpr;\n const bw = tw + padH * 2;\n const bh = fontSize + padV * 2;\n const bx = (visibleL + visibleR) / 2 - bw / 2;\n const by = bb.top + bb.height - bh / 2;\n\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = def.color;\n ctx.fill();\n\n ctx.fillStyle = '#000';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2);\n }\n ctx.restore();\n }\n\n // D. Draw label pills (on top)\n // Pinned labels first (semi-transparent)\n if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7);\n\n // Hover labels last (fully opaque, topmost)\n if (hasHover && hIdx !== pinnedPtIdx)\n drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0);\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (scaleSyncing) return;\n const idx = u.cursor.idx;\n\n // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live\n // Note: uPlot handles cross-chart sync when syncKey is used.\n u.redraw(false);\n\n // Track current x-value for keyboard navigation\n if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x');\n else lastMouseXVal = null;\n\n // \u2500\u2500 Floating y-value next to cursor dot \u2500\u2500\n const s = (u as any)._strasse;\n let showHover = idx != null && yData[idx] != null;\n\n // Distance threshold: if no pinned point, check proximity to data line\n if (showHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[idx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) showHover = false;\n }\n\n if (s) {\n if (showHover)\n updateTooltip(\n u,\n s.curYVal,\n idx!,\n xData as number[],\n yData as number[],\n pts,\n def,\n metricKey,\n );\n else s.curYVal.style.display = 'none';\n }\n\n // Map marker\n if (!cursorSyncing) {\n if (idx != null && pts[idx]) {\n if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) {\n onCursorMoveCb(pts[idx]);\n } else if (onCursorMoveCb && !showHover) {\n // If we're too far and nothing is pinned, hide map cursor\n onCursorMoveCb(null);\n }\n } else if (idx === null && onCursorMoveCb) {\n onCursorMoveCb(null);\n }\n }\n\n // Highlight matching histogram bucket\n if (idx != null && yData[idx] != null) {\n const { min, max } = histData;\n if (min != null && max != null) {\n const span = max - min || 1;\n const binI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[idx]! - min) / span) * histData.BINS),\n );\n if (plot.hoveredHistY !== yData[idx]) {\n plot.hoveredHistY = yData[idx];\n drawHistogram(histCanvas, histData, 130, binI);\n }\n }\n } else if (plot.hoveredHistY !== null) {\n plot.hoveredHistY = null;\n drawHistogram(histCanvas, histData, 130);\n }\n },\n ],\n\n setScale: [\n (u: uPlot, key: string) => {\n if (key !== 'x' || initializingScale) return;\n const { min, max } = u.scales.x!;\n\n // Sync currentXRange so keyboard navigation baseline is always accurate\n currentXRange = [min!, max!];\n\n // Update header stats for VISIBLE range\n updateHeaderStats(min as number, max as number, u);\n\n if (scaleSyncing) return;\n\n // Clear keyboard target when user interacts via mouse\n if (!updatingRange) targetXRange = null;\n\n // Sync sibling plots\n scaleSyncing = true;\n plots.forEach(({ uplot: other }) => {\n if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! }));\n });\n scaleSyncing = false;\n\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb && selAnchorVal !== null)\n onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n },\n ],\n\n setSelect: [\n (u: uPlot) => {\n if (updatingRange) return;\n targetXRange = null;\n const { left, width } = u.select;\n if (width > 0) {\n const min = u.posToVal(left, 'x');\n const max = u.posToVal(left + width, 'x');\n selAnchorVal = min;\n selEndVal = max;\n\n // Sync stats to new selection\n updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u);\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n\n // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction\n u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false);\n }\n },\n ],\n },\n };\n\n // \u2500\u2500 Overlay (pointer-events off except handles) \u2500\u2500\n const overlay = document.createElement('div');\n overlay.style.cssText =\n 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5';\n\n // Selection fill\n const selFill = document.createElement('div');\n selFill.className = 'sel-fill';\n selFill.style.display = 'none';\n\n // Anchor line + label + drag handle\n const anchorLine = document.createElement('div');\n anchorLine.className = 'sel-line sel-line-anchor';\n anchorLine.style.display = 'none';\n\n const anchorLabel = document.createElement('div');\n anchorLabel.className = 'sel-line-label sel-line-label-anchor';\n anchorLabel.style.display = 'none';\n\n const anchorHandle = document.createElement('div');\n anchorHandle.className = 'sel-handle sel-handle-anchor';\n anchorHandle.style.display = 'none';\n\n const anchorMarker = document.createElement('div');\n anchorMarker.className = 'sel-graph-marker';\n anchorMarker.innerHTML =\n 'play_circle';\n anchorMarker.style.display = 'none';\n\n // End line + label + drag handle\n const endLine = document.createElement('div');\n endLine.className = 'sel-line sel-line-end';\n endLine.style.display = 'none';\n\n const endLabel = document.createElement('div');\n endLabel.className = 'sel-line-label sel-line-label-end';\n endLabel.style.display = 'none';\n\n const endHandle = document.createElement('div');\n endHandle.className = 'sel-handle sel-handle-end';\n endHandle.style.display = 'none';\n\n const endMarker = document.createElement('div');\n endMarker.className = 'sel-graph-marker';\n endMarker.innerHTML =\n 'stop_circle';\n endMarker.style.display = 'none';\n\n // Floating cursor y-value\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${def.color};display:none`;\n\n // Floating pinned y-value\n const pinYVal = document.createElement('div');\n pinYVal.className = 'cur-y-val pin';\n pinYVal.style.cssText = `color:${def.color};display:none`;\n\n overlay.append(\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n );\n\n const histData: HistData = {\n yData,\n xData: xData as number[],\n def,\n BINS: 24,\n min: allCount ? gMin : undefined,\n max: allCount ? gMax : undefined,\n fullStats: fullStatsFiltered,\n fullStatsAll,\n };\n const plot: PlotData = {\n uplot: null as any,\n row,\n xData: xData as number[],\n yData,\n def,\n metricKey,\n statsTotalEl,\n statsSelEl,\n histCol,\n histCanvas,\n histData,\n hoveredHistY: null,\n pinnedHistY: null,\n smoothed: smoothedMetrics.has(metricKey),\n incZero: metricsIncludingZero.has(metricKey),\n w,\n };\n histData.plot = plot; // Back-reference for tooltip to trigger redraws\n\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => {\n plot.uplot = self as WegPlot;\n plots.push(plot);\n plotEl.appendChild(self.root);\n self.over.appendChild(overlay);\n (self as any)._strasse = {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n updateHeaderStats,\n };\n self.batch(() => {\n init();\n });\n }) as WegPlot;\n scaleSyncing = prevSync;\n\n // \u2500\u2500 Handle drag \u2500\u2500\n attachHandleDrag(anchorHandle, uplot, xData, true);\n attachHandleDrag(endHandle, uplot, xData, false);\n\n // \u2500\u2500 Mouse listeners \u2500\u2500\n let mousedownX: number | null = null;\n uplot.over.addEventListener('mousedown', (e) => {\n if (e.button !== 0) return;\n isDragging = false;\n const rect = uplot.over.getBoundingClientRect();\n const xPx = e.clientX - rect.left;\n mousedownX = xPx;\n });\n uplot.over.addEventListener('mousemove', (e) => {\n if (mousedownX !== null) {\n const rect = uplot.over.getBoundingClientRect();\n if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true;\n }\n });\n uplot.over.addEventListener('mouseup', () => {\n mousedownX = null;\n });\n\n // Click to pin point (sticky selection)\n uplot.over.addEventListener('click', () => {\n if (isDragging) return;\n const idx = uplot.cursor.idx;\n if (idx != null && pts[idx]) {\n pinnedPtIdx = idx;\n plots.forEach(({ uplot: u }) => u.redraw(false));\n if (onClickCb) onClickCb(pts[idx], idx);\n if (onPinChangeCb) onPinChangeCb(idx);\n }\n });\n\n row.addEventListener('dblclick', cancelSelection);\n\n let initHoverBinI: number | null = null;\n if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) {\n buildHistBins(histData);\n if (histData.min != null && histData.max != null) {\n const span = histData.max - histData.min || 1;\n initHoverBinI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS),\n );\n plot.hoveredHistY = yData[pinnedPtIdx];\n }\n }\n\n drawHistogram(histCanvas, histData, 130, initHoverBinI);\n attachHistTooltip(histCanvas, histData);\n if (container) {\n if (insertBeforeEl) container.insertBefore(row, insertBeforeEl);\n else container.appendChild(row);\n }\n }\n\n // \u2500\u2500 Selection overlay (fill + lines + handles) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateSelOverlay() {\n updateAnchorLines();\n // Redraw canvas markers (bold selection line + span pill)\n plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false)));\n }\n\n function updateAnchorLines() {\n plots.forEach(({ uplot: u, def }) => {\n const s = (u as any)._strasse;\n if (!s) return;\n const {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n } = s;\n if (selAnchorVal == null || selEndVal == null) {\n [\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n ].forEach((el: HTMLElement) => {\n el.style.display = 'none';\n });\n return;\n }\n const aX = u.valToPos(selAnchorVal, 'x');\n const eX = u.valToPos(selEndVal, 'x');\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const overW = bb.width / dpr;\n const overH = bb.height / dpr;\n const plotBottom = (bb.top + bb.height) / dpr;\n\n const isAnchorVisible = aX >= 0 && aX <= overW;\n const isEndVisible = eX >= 0 && eX <= overW;\n\n // Fill: clamp left/right to visible area\n const fillL = Math.max(0, aX);\n const fillR = Math.min(overW, eX);\n if (fillR > fillL) {\n selFill.style.left = `${fillL}px`;\n selFill.style.width = `${fillR - fillL}px`;\n selFill.style.top = '0';\n selFill.style.height = `${overH}px`;\n selFill.style.backgroundColor = hexToRgba(def.color, 0.07);\n selFill.style.display = '';\n } else {\n selFill.style.display = 'none';\n }\n\n // Anchor line\n if (isAnchorVisible) {\n anchorLine.style.left = `${aX}px`;\n anchorLine.style.height = `${overH}px`;\n anchorLine.style.borderLeftColor = def.color;\n anchorLine.style.display = '';\n // Anchor label\n const aText = fmtXVal(selAnchorVal);\n anchorLabel.textContent = aText;\n const aLabelW = aText.length * 7 + 10;\n anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`;\n anchorLabel.style.display = '';\n // Anchor handle\n anchorHandle.style.left = `${aX}px`;\n anchorHandle.style.backgroundColor = def.color;\n anchorHandle.style.display = '';\n // Anchor marker: centered on the bold line\n anchorMarker.style.left = `${aX}px`;\n anchorMarker.style.top = `${plotBottom}px`;\n const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (aIcon) aIcon.style.color = def.color;\n anchorMarker.style.display = '';\n } else {\n [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n\n // End line\n if (isEndVisible) {\n endLine.style.left = `${eX}px`;\n endLine.style.height = `${overH}px`;\n endLine.style.borderLeftColor = def.color;\n endLine.style.display = '';\n // End label\n const eText = fmtXVal(selEndVal);\n endLabel.textContent = eText;\n const eLabelW = eText.length * 7 + 10;\n endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`;\n endLabel.style.display = '';\n // End handle\n endHandle.style.left = `${eX}px`;\n endHandle.style.backgroundColor = def.color;\n endHandle.style.display = '';\n // End marker: centered on the bold line\n endMarker.style.left = `${eX}px`;\n endMarker.style.top = `${plotBottom}px`;\n const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (eIcon) eIcon.style.color = def.color;\n endMarker.style.display = '';\n } else {\n [endLine, endLabel, endHandle, endMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n });\n }\n\n function fmtXVal(v: number) {\n return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v);\n }\n\n // \u2500\u2500 Handle drag logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function attachHandleDrag(\n handleEl: HTMLElement,\n uplot: uPlot,\n xData: (number | null)[],\n isAnchor: boolean,\n ) {\n // pointer-events enabled on the handle itself\n handleEl.style.pointerEvents = 'auto';\n\n handleEl.addEventListener('mousedown', (e) => {\n e.stopPropagation();\n e.preventDefault();\n const startX = e.clientX;\n const startVal = isAnchor ? selAnchorVal : selEndVal;\n const overW = uplot.over.offsetWidth;\n // px-per-data-unit at current zoom\n const xMin = uplot.scales.x!.min!,\n xMax = uplot.scales.x!.max!;\n const pxPerUnit = overW / (xMax - xMin);\n const xFull = [xData[0]!, xData[xData.length - 1]!];\n\n document.body.style.cursor = 'ew-resize';\n isDragging = true;\n\n function onMove(me: MouseEvent) {\n const dx = me.clientX - startX;\n let newVal = (startVal || 0) + dx / pxPerUnit;\n newVal = Math.max(xFull[0], Math.min(xFull[1], newVal));\n\n if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001);\n else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001);\n\n // When dragging handles, we typically want to stay zoomed to the selection?\n // Actually, let's keep the zoom as is, and just update the selection overlay and stats.\n plots.forEach((p) =>\n (p.uplot as any)._strasse?.updateHeaderStats(\n p.uplot.scales.x!.min!,\n p.uplot.scales.x!.max!,\n ),\n );\n updateSelOverlay();\n redrawHistograms();\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n }\n\n function onUp() {\n document.body.style.cursor = '';\n isDragging = false;\n document.removeEventListener('mousemove', onMove);\n document.removeEventListener('mouseup', onUp);\n }\n\n document.addEventListener('mousemove', onMove);\n document.addEventListener('mouseup', onUp);\n });\n }\n\n // \u2500\u2500 Histogram logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function buildHistBins(histData: HistData) {\n const { yData, xData, BINS } = histData;\n\n // Cache to avoid re-binning every frame during hover\n if (histData._lastYData === yData && histData.bins) return;\n histData._lastYData = yData;\n\n let min = histData.min;\n let max = histData.max;\n if (min == null || max == null) {\n let lo = Infinity,\n hi = -Infinity,\n cnt = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < lo) lo = v;\n if (v > hi) hi = v;\n cnt++;\n }\n if (!cnt) return;\n min = lo;\n max = hi;\n histData.min = min;\n histData.max = max;\n }\n\n const bins = new Array(BINS).fill(0);\n const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km)\n\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n bins[bi]++;\n\n // weight by x-delta\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n binAccum[bi] += (next - prev) / 2;\n }\n histData.bins = bins;\n histData.binAccum = binAccum;\n }\n\n function redrawHistograms() {\n plots.forEach(({ histCanvas, histData, uplot: u }) => {\n drawHistogram(histCanvas, histData, u.height);\n });\n }\n\n function drawHistogram(\n canvas: HTMLCanvasElement,\n histData: HistData,\n chartH: number,\n hoverBinI: number | null = null,\n ) {\n const { def, BINS } = histData;\n buildHistBins(histData);\n const { bins, min, max } = histData;\n if (!bins || min == null || max == null) return;\n\n const hasSel = selAnchorVal != null && selEndVal != null;\n\n // Compute selection bins if a range is active and changed\n if (\n hasSel &&\n (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal)\n ) {\n histData._lastSelRange = [selAnchorVal!, selEndVal!];\n const selBins = new Array(BINS).fill(0);\n const selBinAccum = new Array(BINS).fill(0);\n const { yData, xData } = histData;\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const x = xData[i];\n if (x == null || x < selAnchorVal! || x > selEndVal!) continue;\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n selBins[bi]++;\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n selBinAccum[bi] += (next - prev) / 2;\n }\n histData.selBins = selBins;\n histData.selBinAccum = selBinAccum;\n } else if (!hasSel) {\n histData.selBins = null;\n histData.selBinAccum = null;\n histData._lastSelRange = null;\n }\n const selBins = histData.selBins;\n\n const dpr = window.devicePixelRatio || 1;\n const W = HIST_W;\n const H = chartH;\n\n // Performance: only set dimensions if they changed (resets canvas)\n if (canvas.width !== W * dpr || canvas.height !== H * dpr) {\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n canvas.style.width = `${W}px`;\n canvas.style.height = `${H}px`;\n }\n\n const ctx = canvas.getContext('2d')!;\n ctx.resetTransform();\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const peak = Math.max(...bins);\n\n // Measure label width so bars start right after them\n const fmt = (v: number) => def.fmtAxis(v);\n const fontStr = '9px system-ui, sans-serif';\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const labelW = Math.ceil(\n Math.max(\n ctx.measureText(`${fmt(max)} ${def.unit}`).width,\n ctx.measureText(`${fmt(min)} ${def.unit}`).width,\n ),\n );\n\n // Vertical alignment with main graph:\n // uPlot padding: [4, 0, 0, 0]\n // Axis size: 30\n const pad = { t: 4, r: 0, b: 30, l: labelW + 6 };\n histData.padL = pad.l;\n const plotW = W - pad.l - pad.r;\n const plotH = H - pad.t - pad.b;\n\n // bin 0 = lowest values \u2192 drawn at bottom; bin BINS-1 = highest \u2192 drawn at top\n const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS);\n const binH = plotH / BINS - 1;\n\n // Full distribution (dimmed when selection active)\n const baseAlpha = hasSel ? 0.15 : 0.6;\n ctx.fillStyle = hexToRgba(def.color, baseAlpha);\n for (let i = 0; i < BINS; i++) {\n if (!bins[i]) continue;\n const bw = (bins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n\n // Selection overlay (bright)\n if (selBins) {\n ctx.fillStyle = hexToRgba(def.color, 0.85);\n for (let i = 0; i < BINS; i++) {\n if (!selBins[i]) continue;\n const bw = (selBins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n ctx.fillStyle = def.color;\n ctx.fillRect(pad.l, pad.t, 2, plotH);\n }\n\n // CDF overlay \u2014 smooth curve from bottom (0%) to top (100%)\n const total = bins.reduce((s, v) => s + v, 0);\n if (total > 0) {\n // Build CDF points: one per bin boundary, bottom\u2192top\n const pts2 = [{ x: pad.l, y: pad.t + plotH }];\n let cumSum = 0;\n for (let i = 0; i < BINS; i++) {\n cumSum += bins[i];\n pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) });\n }\n\n ctx.beginPath();\n // CDF line is now solid\n ctx.setLineDash([]);\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 0.75 * dpr;\n ctx.lineJoin = 'round';\n ctx.moveTo(pts2[0].x, pts2[0].y);\n for (let i = 1; i < pts2.length - 1; i++) {\n const mx = (pts2[i].x + pts2[i + 1].x) / 2;\n const my = (pts2[i].y + pts2[i + 1].y) / 2;\n ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my);\n }\n ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y);\n ctx.stroke();\n\n // \u2500\u2500 Hover highlight on CDF \u2500\u2500\n if (hoverBinI != null && pts2[hoverBinI + 1]) {\n const cp = pts2[hoverBinI + 1];\n // Vertical line down\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(def.color, 0.6);\n ctx.moveTo(cp.x, cp.y);\n ctx.lineTo(cp.x, pad.t + plotH);\n ctx.stroke();\n ctx.setLineDash([]);\n\n // Dot: tiny precision point\n ctx.beginPath();\n ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n }\n\n // Axis labels: max at top, min at bottom\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n const font9 = '9px system-ui, sans-serif';\n if (ctx.font !== font9) ctx.font = font9;\n ctx.textAlign = 'right';\n\n // Draw Max\n ctx.textBaseline = 'top';\n ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t);\n\n // Draw Min\n ctx.textBaseline = 'bottom';\n ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b);\n\n // Draw Avg (only if it doesn't overlap min/max)\n const stats =\n !hasSel && histData.fullStatsAll !== undefined\n ? histData.fullStatsAll\n : rangeStats(\n histData.xData,\n histData.yData,\n selAnchorVal || -Infinity,\n selEndVal || Infinity,\n );\n if (stats) {\n const avgY =\n pad.t +\n (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) *\n (plotH / BINS);\n const minLabelY = H - pad.b;\n const maxLabelY = pad.t;\n const labelHeight = 10; // Approx 10px height for 9px font\n\n if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) {\n ctx.textBaseline = 'middle';\n if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa';\n ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY);\n // Draw small indicator tick\n ctx.beginPath();\n ctx.moveTo(pad.l - 3, avgY);\n ctx.lineTo(pad.l, avgY);\n if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa';\n ctx.lineWidth = 1;\n ctx.stroke();\n }\n }\n\n // \u2500\u2500 Higher/Lower percentages below histogram \u2500\u2500\n if (hoverBinI != null && total > 0) {\n let countLower = 0;\n for (let i = 0; i < hoverBinI; i++) countLower += bins[i];\n let countHigher = 0;\n for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i];\n\n const pLower = Math.round((countLower / total) * 100);\n const pHigher = Math.round((countHigher / total) * 100);\n\n ctx.save();\n ctx.textAlign = 'left';\n ctx.textBaseline = 'top';\n const font8 = '8px system-ui, sans-serif';\n if (ctx.font !== font8) ctx.font = font8;\n\n const textY = H - pad.b + 6;\n\n // Draw \"Lower\" stat\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('LOWER', pad.l, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n const fontB10 = 'bold 10px system-ui, sans-serif';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pLower}%`, pad.l, textY + 10);\n\n // Draw \"Higher\" stat\n const midX = pad.l + plotW / 2;\n if (ctx.font !== font8) ctx.font = font8;\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('HIGHER', midX, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pHigher}%`, midX, textY + 10);\n\n ctx.restore();\n }\n }\n\n function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) {\n const { plot } = histData;\n\n canvas.addEventListener('click', (e) => {\n const binI = getBinAt(canvas, histData, e);\n if (binI != null && plot) {\n const { min, max, BINS } = histData;\n const span = max! - min! || 1;\n plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n }\n });\n\n canvas.addEventListener('mousemove', (e) => {\n lastHistMouseEvent = e;\n updateHistTooltip(e, canvas, histData);\n });\n\n canvas.addEventListener('mouseenter', () => {\n hoveredHistCanvas = canvas;\n hoveredHistData = histData;\n });\n\n canvas.addEventListener('mouseleave', () => {\n if (hoveredHistCanvas === canvas) {\n hoveredHistCanvas = null;\n hoveredHistData = null;\n }\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const lineEl = document.getElementById('hist-line');\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n });\n }\n\n function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) {\n const { bins, BINS } = histData;\n if (!bins) return null;\n const rect = canvas.getBoundingClientRect();\n const relY = e.clientY - rect.top;\n // Use exact padding from drawHistogram: t: 4, b: 30\n const pad = { t: 4, b: 30 };\n const plotH = rect.height - pad.t - pad.b;\n const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!);\n const binI = BINS! - 1 - rawI;\n if (rawI < 0 || rawI >= BINS!) return null;\n return binI;\n }\n\n function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) {\n if (!histTooltipEl) return;\n const { bins, binAccum, min, max, BINS, def, plot } = histData;\n if (!bins || !binAccum || min == null || max == null) return;\n\n const lineEl = document.getElementById('hist-line');\n const binI = getBinAt(canvas, histData, e);\n\n if (binI == null || !bins[binI]) {\n histTooltipEl.style.display = 'none';\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n return;\n }\n\n if (plot) {\n const span = max - min || 1;\n plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!);\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI);\n }\n\n const count = bins[binI];\n const total = bins.reduce((s, v) => s + v, 0);\n const pct = (count / total) * 100;\n\n const span = max - min || 1;\n const low = min + binI * (span / BINS!);\n const high = min + (binI + 1) * (span / BINS!);\n const label = `${def.fmt(low, true)} \u2013 ${def.fmt(high, true)} ${def.unit}`;\n\n // Zone info\n let zoneHtml = '';\n const mid = (low + high) / 2;\n const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def);\n let zones: any[] = [];\n if (metricKey === 'power') zones = Zones.getPowerZones();\n else if (metricKey === 'hr') zones = Zones.getHRZones();\n\n if (zones.length > 0) {\n const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max);\n const z =\n zIdx !== -1\n ? zones[zIdx]\n : mid >= zones[zones.length - 1].min\n ? zones[zones.length - 1]\n : null;\n if (z) {\n const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1;\n zoneHtml = `\n
\n Z${finalZIdx + 1}\n \u00B7\n ${z.name}\n
\n `;\n }\n }\n\n const totalAccum =\n xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]);\n const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100;\n\n let html = `\n
${label}
\n ${zoneHtml}\n `;\n\n if (totalAccum) {\n html += `
\n ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${totalAccum}\n ${totalPct.toFixed(1)}%\n
`;\n }\n\n // Selection context\n if (histData.selBins && histData.selBinAccum) {\n const stotalAccum =\n xAxis === 'distance'\n ? `${histData.selBinAccum[binI].toFixed(2)} km`\n : fmtSecs(histData.selBinAccum[binI]);\n const stotalPct =\n (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100;\n\n html += `\n
\n Sel ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${stotalAccum}\n ${stotalPct.toFixed(1)}%\n
\n `;\n }\n\n histTooltipEl.innerHTML = html;\n\n // Position tooltip: fixed X left of canvas, Y centered on bin\n histTooltipEl.style.display = 'block';\n const ttH = histTooltipEl.offsetHeight;\n const ttW = histTooltipEl.offsetWidth;\n const rect = canvas.getBoundingClientRect();\n const plotH = rect.height - 4 - 30; // pad.t + pad.b\n const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!);\n\n histTooltipEl.style.left = `${rect.left - ttW - 12}px`;\n histTooltipEl.style.top = `${binCenterY - ttH / 2}px`;\n\n // Horizontal line sync\n if (lineEl) {\n lineEl.style.display = 'block';\n lineEl.style.top = `${binCenterY}px`;\n lineEl.style.left = '0px';\n lineEl.style.width = `${rect.left}px`;\n }\n }\n\n // \u2500\u2500 Helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function destroyPlots(keepState = false) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n plots.forEach(({ uplot: u, row }) => {\n syncKey!.unsub(u);\n u.destroy();\n row.remove();\n });\n plots = [];\n renderedTrack = null;\n if (!keepState) {\n selAnchorVal = null;\n selEndVal = null;\n }\n isDragging = false;\n }\n\n function rangeStats(\n xData: (number | null)[],\n yData: (number | null)[],\n xMin: number,\n xMax: number,\n incZero = true,\n ) {\n let min = Infinity,\n max = -Infinity,\n sum = 0,\n n = 0;\n for (let i = 0; i < xData.length; i++) {\n if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue;\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n if (v < min) min = v;\n if (v > max) max = v;\n sum += v;\n n++;\n }\n return n ? { min, max, avg: sum / n } : null;\n }\n\n function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) {\n let gain = 0,\n loss = 0;\n let prevEle: number | null = null;\n const isDist = xAxis === 'distance';\n const t0 = pts[0].time || 0;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n if (x < xMin || x > xMax) continue;\n\n if (p.ele != null) {\n if (prevEle != null) {\n const diff = p.ele - prevEle;\n if (diff > 0) gain += diff;\n else if (diff < 0) loss += Math.abs(diff);\n }\n prevEle = p.ele;\n }\n }\n return { gain, loss };\n }\n\n // \u2500\u2500 Plot Rendering Helpers (Canvas) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateTooltip(\n u: WegPlot,\n el: HTMLElement,\n idx: number,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n def: MetricDefinition,\n metricKey: string,\n ) {\n if (idx == null || yData[idx] == null) {\n el.style.display = 'none';\n return;\n }\n\n const cx = u.valToPos(xData[idx]!, 'x', false);\n const cy = u.valToPos(yData[idx]!, 'y', false);\n\n let gColor = '#888896';\n let g = 0;\n if (idx > 0 && pts[idx] && pts[idx - 1]) {\n const p0 = pts[idx - 1],\n p1 = pts[idx];\n const d = (p1.dist || 0) - (p0.dist || 0);\n if (d > 0.1 && p1.ele != null && p0.ele != null) {\n g = ((p1.ele - p0.ele) / d) * 100;\n gColor = gradientColor(g);\n }\n }\n\n let content =\n metricKey !== 'elevation'\n ? `${def.fmt(yData[idx]!, false)} ${def.unit}`\n : `${def.fmt(yData[idx]!, false)} ${def.unit} \u2220 ${Math.abs(g).toFixed(1)}%`;\n\n // Special handling for gears: show tooth count if available\n if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) {\n content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) {\n content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gears') {\n const p = pts[idx];\n const front =\n p.gearFrontTooth != null\n ? `${p.gearFrontTooth}T`\n : p.gearFront != null\n ? `pos ${p.gearFront}`\n : '';\n const rear =\n p.gearRearTooth != null\n ? `${p.gearRearTooth}T`\n : p.gearRear != null\n ? `pos ${p.gearRear}`\n : '';\n\n if (front || rear)\n content += ` (${front} / ${rear})`;\n }\n\n if (el.innerHTML !== content) el.innerHTML = content;\n\n const color44 = `${def.color}44`;\n if (el.style.color !== def.color) el.style.color = def.color;\n if (el.style.borderColor !== color44) el.style.borderColor = color44;\n\n const left = `${cx}px`;\n const top = `${cy}px`;\n const transform = 'translate(6px, -50%)';\n if (el.style.left !== left) el.style.left = left;\n if (el.style.top !== top) el.style.top = top;\n if (el.style.transform !== transform) el.style.transform = transform;\n if (el.style.display !== '') el.style.display = '';\n }\n\n const gradientColorRgbaCache = new Map();\n function gradientColorRgba(g: number | null): string {\n let c = gradientColorRgbaCache.get(g);\n if (!c) {\n c = hexToRgba(gradientColor(g), 0.8);\n gradientColorRgbaCache.set(g, c);\n }\n return c;\n }\n\n function drawElevationGradient(\n u: uPlot,\n xData: number[],\n yData: number[],\n gradData: (number | null)[] | null,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawGradientChart(u: uPlot, xData: number[], yData: number[]) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = Math.round(yData[i]! / 2) * 2;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) {\n const idx = u.cursor.idx;\n if (idx == null || yData[idx] == null || u.cursor.left! < 0) return;\n\n const t0 = pts[0].time || 0;\n const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yData[idx], 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Line from top to point + horizontal from left\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, cy);\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Dot at point\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n\n function drawVerticalLineOnly(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const xVal =\n xAxis === 'distance'\n ? (pts[idx].dist || 0) / 1000\n : (pts[idx].time! - (pts[0].time || 0)) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n // Dotted line range should match where labels are (flush top to bottom axis)\n ctx.moveTo(cx, bb.top + 16 * dpr);\n ctx.lineTo(cx, bb.top + bb.height + 10 * dpr);\n ctx.stroke();\n ctx.restore();\n }\n\n function drawXAxisLabels(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n skipLine = false,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const t0 = pts[0].time || 0;\n const distVal = (pts[idx].dist || 0) / 1000;\n const timeVal = (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true);\n\n // Bottom label: matches the current X axis unit\n const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal);\n // Top label: shows the other unit (simplified)\n const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`;\n\n const drawPill = (text: string, x: number, y: number, isTop: boolean) => {\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(text).width;\n const bw = tw + 10 * dpr;\n const bh = 16 * dpr;\n const rx = x - bw / 2;\n const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx));\n const ry = y - bh / 2;\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.setLineDash([]); // Ensure pills are not dashed\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr);\n else ctx.rect(clampedRx, ry, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.92)';\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr);\n ctx.restore();\n };\n\n if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity);\n\n const pillH = 16 * dpr;\n // Top label: flush to the top edge of the plot\n drawPill(topLabel, cx, bb.top + pillH / 2, true);\n\n // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area)\n drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false);\n }\n\n function drawPinnedDot(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n def: MetricDefinition,\n pts: TrackPoint[],\n metricKey: string,\n ) {\n if (pinnedPtIdx == null) return;\n const xVal = xData[pinnedPtIdx];\n const yVal = yData[pinnedPtIdx];\n if (xVal == null || yVal == null) return;\n\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n ctx.save();\n // Vertical line\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1.5 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, bb.top + bb.height);\n ctx.stroke();\n\n // Horizontal dashed line\n ctx.beginPath();\n ctx.setLineDash([3 * dpr, 3 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.5);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Large Dot\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2.5 * dpr;\n ctx.stroke();\n ctx.restore();\n\n const s = (u as any)._strasse;\n if (s && s.pinYVal) {\n updateTooltip(\n u,\n s.pinYVal,\n pinnedPtIdx,\n xData as number[],\n yData as (number | null)[],\n pts,\n def,\n metricKey,\n );\n }\n }\n\n function drawYAxisHighlight(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n yVal: number,\n color: string,\n def: MetricDefinition,\n ) {\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const cy = u.valToPos(yVal, 'y', true);\n\n // Clamp cy to bbox\n const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy));\n\n ctx.save();\n // Horizontal line\n ctx.beginPath();\n ctx.setLineDash([4 * dpr, 4 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cyClamp);\n ctx.lineTo(bb.left + bb.width, cyClamp);\n ctx.stroke();\n\n // Fill area above/below\n drawAreaFillAbove(u, xData, yData, cyClamp, color);\n\n // Pill label on Y-axis\n const label = def.fmt(yVal, true);\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n const bw = tw + 8 * dpr;\n const bh = 16 * dpr;\n const bx = bb.left - bw - 2 * dpr;\n const by = cyClamp - bh / 2;\n\n ctx.beginPath();\n ctx.setLineDash([]);\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.95)';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = '#fff';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr);\n ctx.restore();\n }\n\n function drawAreaFillAbove(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n cyClamp: number,\n color: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.beginPath();\n\n let inSegment = false;\n let hasAnySegment = false;\n let lastPx = 0;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null || xv < xMin || xv > xMax) {\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n lastPx = px;\n\n if (py < cyClamp) {\n if (!inSegment) {\n ctx.moveTo(px, cyClamp);\n inSegment = true;\n hasAnySegment = true;\n }\n ctx.lineTo(px, py);\n } else if (inSegment) {\n ctx.lineTo(px, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n }\n\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n }\n\n if (hasAnySegment) {\n ctx.fill();\n }\n\n ctx.restore();\n }\n\n // \u2500\u2500 Utils \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function lerpHex(a: string, b: string, t: number) {\n const ah = parseInt(a.slice(1), 16),\n bh = parseInt(b.slice(1), 16);\n const ar = ah >> 16,\n ag = (ah >> 8) & 0xff,\n ab = ah & 0xff;\n const br = bh >> 16,\n bg = (bh >> 8) & 0xff,\n bb = bh & 0xff;\n const rr = ar + (br - ar) * t,\n rg = ag + (bg - ag) * t,\n rb = ab + (bb - ab) * t;\n return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb))\n .toString(16)\n .slice(1)}`;\n }\n\n function gradientColor(g: number | null) {\n if (g == null) return '#888896';\n const absG = Math.abs(g);\n const t = Math.min(1, absG / 8);\n if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red\n return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue\n }\n\n function speedColor(s: number | null) {\n if (s == null) return '#888896';\n const kmh = s * 3.6;\n\n if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow\n if (kmh >= 60) return '#d73027'; // Solid Red for very fast\n\n // High resolution between 5 and 45 (10km/h per segment)\n if (kmh <= 45) {\n const t = (kmh - 5) / 40; // 0 to 1\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue\n if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green\n if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow\n return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange\n } else {\n // 45-60: Orange -> Red\n const t = (kmh - 45) / 15;\n return lerpHex('#fc8d59', '#d73027', t);\n }\n }\n\n function smoothGradient(pts: TrackPoint[], windowMetres: number) {\n const grads: (number | null)[] = new Array(pts.length).fill(null);\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n let j0 = i,\n j1 = i;\n while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--;\n while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++;\n const d = (pts[j1].dist || 0) - (pts[j0].dist || 0);\n if (d > 1 && pts[j1].ele != null && pts[j0].ele != null)\n grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100;\n }\n return grads;\n }\n\n function fillNulls(data: (number | null)[]) {\n const res = [...data];\n for (let i = 0; i < res.length; i++) {\n if (res[i] === null) {\n let left = i - 1;\n while (left >= 0 && res[left] === null) left--;\n let right = i + 1;\n while (right < res.length && res[right] === null) right++;\n if (left >= 0 && right < res.length)\n res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left);\n else if (left >= 0) res[i] = res[left];\n else if (right < res.length) res[i] = res[right];\n }\n }\n return res;\n }\n\n function updateStats(track: TrackData) {\n const s = track.stats;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '\u2014');\n fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014');\n fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '\u2014');\n\n // Recalculate averages from visible plot data to respect zero filtering\n const getAvg = (key: string) => {\n const p = plots.find((p) => p.metricKey === key);\n if (!p) {\n if (key === 'speed') return s.avgSpeed ?? null;\n if (key === 'power') return s.avgPower ?? null;\n if (key === 'cadence') return s.avgCadence ?? null;\n return null;\n }\n if (p.histData.fullStats !== undefined) {\n return p.histData.fullStats ? p.histData.fullStats.avg : null;\n }\n const incZero =\n metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed');\n const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0));\n if (!vals.length) return null;\n return vals.reduce((a, b) => a + b, 0) / vals.length;\n };\n\n const avgSpeed = getAvg('speed');\n fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014');\n\n const avgPower = getAvg('power');\n fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '\u2014');\n\n const avgCadence = getAvg('cadence');\n fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '\u2014');\n\n fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '\u2014');\n fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n }\n\n const INTERVAL_CAP = 16384;\n const ivPwr = new Float64Array(INTERVAL_CAP);\n const ivHr = new Float64Array(INTERVAL_CAP);\n const ivSpd = new Float64Array(INTERVAL_CAP);\n const ivEle = new Float64Array(INTERVAL_CAP);\n const ivCad = new Float64Array(INTERVAL_CAP);\n const ivSmoothed = new Float64Array(INTERVAL_CAP);\n const ivKdeBins = new Float64Array(64);\n const intervalWindows = [\n 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, 360,\n ];\n\n function analyzeTelemetryIntervals(\n tracksList: TrackData[],\n selStartSec: number,\n selEndSec: number,\n ) {\n if (!tracksList.length) return 0;\n ivKdeBins.fill(0);\n let intervalScore = 0;\n\n for (let ti = 0; ti < tracksList.length; ti++) {\n const pts = tracksList[ti].points;\n const n = Math.min(pts.length, INTERVAL_CAP);\n if (n < 4) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n ivPwr[i] = p.power || 0;\n ivHr[i] = p.hr || 0;\n ivSpd[i] = p.speed || 0;\n ivEle[i] = p.ele || 0;\n ivCad[i] = p.cad || 0;\n }\n\n // Single-pass Savitzky-Golay 5-point quadratic smoothing and section interval analysis\n const sStart = Math.max(0, Math.min(n - 1, Math.floor(selStartSec)));\n const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec)));\n const inv35 = 1 / 35;\n const invSigmaSq = 1 / 180;\n const omega = 0.012;\n\n for (let i = 2; i < n - 2; i++) {\n const sgPwr =\n (-3 * ivPwr[i - 2] +\n 12 * ivPwr[i - 1] +\n 17 * ivPwr[i] +\n 12 * ivPwr[i + 1] -\n 3 * ivPwr[i + 2]) *\n inv35;\n const sgHr =\n (-3 * ivHr[i - 2] +\n 12 * ivHr[i - 1] +\n 17 * ivHr[i] +\n 12 * ivHr[i + 1] -\n 3 * ivHr[i + 2]) *\n inv35;\n const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25;\n const dP = sgPwr - ivPwr[i];\n const gauss = Math.exp(-dP * dP * invSigmaSq);\n const harmonic = Math.cos(i * omega + ivCad[i] * 0.02);\n ivSmoothed[i] = sgPwr * gauss + sgHr * 0.8 + sgSpd * (ivCad[i] * 0.1 + harmonic);\n }\n\n const sectionRanges: [number, number][] = [\n [0, Math.floor(n * 0.25)],\n [Math.floor(n * 0.25), Math.floor(n * 0.6)],\n [Math.floor(n * 0.6), n],\n [sStart, sEnd],\n ];\n\n for (let si = 0; si < sectionRanges.length; si++) {\n const [secStart, secEnd] = sectionRanges[si];\n const secLen = secEnd - secStart;\n if (secLen < 4) continue;\n\n for (let wi = 0; wi < intervalWindows.length; wi++) {\n const w = intervalWindows[wi];\n if (w >= secLen) continue;\n const invW = 1 / w;\n let winSum = 0;\n let winEle = 0;\n let maxInterval = 0;\n for (let i = secStart; i < secEnd; i++) {\n winSum += ivSmoothed[i];\n winEle += ivEle[i];\n if (i - secStart >= w) {\n winSum -= ivSmoothed[i - w];\n winEle -= ivEle[i - w];\n const avg = (winSum + winEle * 0.05) * invW;\n if (avg > maxInterval) maxInterval = avg;\n }\n }\n intervalScore += maxInterval * 1e-4;\n }\n\n // Section Kernel Density Estimation (KDE) binning\n for (let i = secStart; i < secEnd; i++) {\n const norm = Math.max(0, Math.min(63, ((ivSmoothed[i] * 0.12) | 0) & 63));\n ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[secStart]) * 1e-3;\n if (norm > 0) ivKdeBins[norm - 1] += 0.5;\n if (norm < 63) ivKdeBins[norm + 1] += 0.5;\n }\n }\n }\n\n for (let b = 0; b < 64; b++) {\n intervalScore += ivKdeBins[b] * 1e-5;\n }\n if (container) {\n container.dataset.intervalScore = intervalScore.toFixed(2);\n }\n return intervalScore;\n }\n\n return {\n init,\n loadTrack,\n clear,\n resetState,\n toggleMetric,\n setXAxis,\n toggleStats,\n setSelectionStats,\n clearSelectionStats,\n restoreSelection,\n resetZoom,\n cancelSelection,\n analyzeTelemetryIntervals,\n setCursorAt: (idx: number, deferRender = false) => {\n pinnedPtIdx = idx;\n if (onPinChangeCb) onPinChangeCb(idx);\n if (deferRender) {\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n return;\n }\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n },\n setHoverAt: (idx: number | null) => {\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (idx === null) {\n u.batch(() => {\n (u as any).setCursor({ left: -10, top: -10 }, true, false);\n });\n } else if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb) {\n onCursorMoveCb(\n idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null,\n );\n }\n },\n clearPinnedDot: () => {\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n },\n resize,\n METRICS,\n isDragging: () => isDragging,\n setMapColorChangeCb,\n toggleMapColor,\n getMapColorMetric: () => mapColorMetric,\n getActiveMetrics: () => activeMetrics,\n getAvailableMetrics: () => availableMetrics,\n setActiveMetrics,\n setSmooth,\n setZeroInclusion,\n updateMetricOrder: (keys: string[]) => {\n // Keys might only contain current active ones, or more.\n // We want to re-order activeMetrics to match the order in 'keys'\n const newActive = new Set();\n keys.forEach((k) => {\n if (activeMetrics.has(k)) newActive.add(k);\n });\n // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND)\n activeMetrics.forEach((k) => {\n if (!newActive.has(k)) newActive.add(k);\n });\n activeMetrics = newActive;\n if (currentTrack) render(true);\n },\n getXAxis: () => xAxis,\n };\n\n function drawMetricColorFill(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n metricKey: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const colors = _computePointColors(metricKey, yData);\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (let i = 1; i < xData.length; i++) {\n if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null)\n continue;\n const x0 = u.valToPos(xData[i - 1]!, 'x', true);\n const y0 = u.valToPos(yData[i - 1]!, 'y', true);\n const x1 = u.valToPos(xData[i]!, 'x', true);\n const y1 = u.valToPos(yData[i]!, 'y', true);\n\n const c = colors[i];\n\n // Top line segment\n ctx.beginPath();\n ctx.moveTo(x0, y0);\n if (isStepped) ctx.lineTo(x1, y0);\n\n ctx.lineTo(x1, y1);\n ctx.strokeStyle = c;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) {\n if (!allTracks.length) return;\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (const track of allTracks) {\n if (currentTrack && track.id === currentTrack.id) continue;\n\n const pts = track.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const field = def.field;\n\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint\n ctx.lineWidth = 1 * dpr;\n\n let first = true;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const v = p[field] as number;\n\n if (v == null) {\n first = true;\n continue;\n }\n\n if (i > 0) {\n const prev = pts[i - 1];\n const dt = p.time && prev.time ? p.time - prev.time : 0;\n if (dt > GAP_THRESHOLD) first = true;\n }\n\n const val = def.transform ? def.transform(v) : v;\n if (val == null) {\n first = true;\n continue;\n }\n const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n\n // Skip if way outside horizontal range\n if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) {\n first = true;\n continue;\n }\n\n const px = u.valToPos(xVal, 'x', true);\n const py = u.valToPos(val, 'y', true);\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevP = pts[i - 1];\n const prevXVal =\n xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000;\n ctx.lineTo(u.valToPos(prevXVal, 'x', true), py);\n }\n ctx.lineTo(px, py);\n }\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawTrackPath(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n width: number,\n metricKey: string,\n range: [number, number] | null = null,\n pts: TrackPoint[] = [],\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = hexToRgba(color, 0.8);\n ctx.lineWidth = width * dpr;\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n let first = true;\n let lastFrontGear: number | null = null;\n let fMin = 1;\n let fMax = 1;\n\n if (metricKey === 'gears' && pts.length > 0) {\n let lo = Infinity,\n hi = -Infinity;\n for (let i = 0; i < pts.length; i++) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null) {\n if (fg < lo) lo = fg;\n if (fg > hi) hi = fg;\n }\n }\n if (lo <= hi) {\n fMin = lo;\n fMax = hi;\n }\n }\n\n const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity);\n const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity);\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = !range ? u.series[0]?.idxs : null;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step =\n isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250));\n const isTimeAxis = xAxis === 'time';\n const gapSec = GAP_THRESHOLD / 1000;\n let prevDrawnI = iStart;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null) {\n first = true;\n continue;\n }\n\n if (metricKey === 'gears' && pts[i]) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null && fg !== lastFrontGear) {\n if (!first && i > 0) {\n ctx.stroke();\n ctx.beginPath();\n const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale;\n const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult;\n ctx.moveTo(prevX, prevY);\n }\n\n // Compute color\n let segmentColor = color;\n if (fMax !== fMin && fg != null) {\n if (fg === fMin)\n segmentColor = '#FFC400'; // Small ring: Yellow-Orange\n else if (fg === fMax)\n segmentColor = '#FF8C00'; // Big ring: Dark Orange\n else segmentColor = '#FFA500'; // Middle ring: Orange\n }\n ctx.strokeStyle = hexToRgba(segmentColor, 0.8);\n lastFrontGear = fg;\n }\n }\n\n // Check gap\n if (i > iStart && isTimeAxis) {\n const prevXv = xData[prevDrawnI];\n if (prevXv != null && xv - prevXv > gapSec) first = true;\n }\n\n // Check range (or visible x-scale bounds)\n if (xv < rMin || xv > rMax) {\n first = true;\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevXv = xData[prevDrawnI]!;\n ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py);\n }\n ctx.lineTo(px, py);\n }\n prevDrawnI = i;\n }\n ctx.stroke();\n ctx.restore();\n }\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { Parsers } from './parsers';\n\nexport interface ZoneRange {\n name: string;\n min: number;\n max: number;\n color: string;\n}\n\nexport const Zones = (() => {\n function getPowerZones(): ZoneRange[] {\n const ftp = Parsers.getFTP();\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n const names = [\n 'Active Recovery',\n 'Endurance',\n 'Tempo',\n 'Threshold',\n 'VO2 Max',\n 'Anaerobic',\n 'Neuromuscular',\n ];\n const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] });\n return zones;\n }\n\n function getHRZones(): ZoneRange[] {\n const thresholds = Parsers.getHRZones();\n const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic'];\n const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] });\n return zones;\n }\n\n return {\n getPowerZones,\n getHRZones,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackPoint } from './parsers';\n\nexport interface MetricDefinition {\n label: string;\n field: keyof TrackPoint;\n unit: string;\n color: string;\n abbr: string;\n icon: string;\n fmt: (v: number, precise?: boolean) => string;\n fmtAxis: (v: number) => string;\n compute?: (\n pts: TrackPoint[],\n fillNulls: (data: (number | null)[]) => (number | null)[],\n ) => (number | null)[];\n transform?: (v: number) => number | null;\n smoothSigma?: number;\n}\n\nexport const Metrics = {\n speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' },\n gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' },\n power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' },\n hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' },\n cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' },\n temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' },\n elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' },\n distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' },\n gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' },\n gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' },\n gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' },\n battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' },\n vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' },\n};\n\nexport const METRICS: Record = {\n elevation: {\n label: 'Elevation',\n field: 'ele',\n unit: 'm',\n color: Metrics.elevation.color,\n abbr: 'ele',\n icon: Metrics.elevation.icon,\n fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n speed: {\n label: 'Speed',\n field: 'speed',\n unit: 'km/h',\n color: Metrics.speed.color,\n abbr: 'spd',\n icon: Metrics.speed.icon,\n fmt: (v) => (v * 3.6).toFixed(1),\n fmtAxis: (v) => (v * 3.6).toFixed(0),\n transform: (v) => v,\n smoothSigma: 2,\n },\n gradient: {\n label: 'Gradient',\n field: 'gradient',\n unit: '%',\n color: Metrics.gradient.color,\n abbr: 'grad',\n icon: Metrics.gradient.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => v.toFixed(0),\n smoothSigma: 2,\n },\n power: {\n label: 'Power',\n field: 'power',\n unit: 'W',\n color: Metrics.power.color,\n abbr: 'pwr',\n icon: Metrics.power.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n hr: {\n label: 'Heart Rate',\n field: 'hr',\n unit: 'bpm',\n color: Metrics.hr.color,\n abbr: 'hr',\n icon: Metrics.hr.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n cadence: {\n label: 'Cadence',\n field: 'cad',\n unit: 'rpm',\n color: Metrics.cadence.color,\n abbr: 'cad',\n icon: Metrics.cadence.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n temperature: {\n label: 'Temp',\n field: 'temp',\n unit: '\u00B0C',\n color: Metrics.temperature.color,\n abbr: 'temp',\n icon: Metrics.temperature.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 6,\n },\n gearRear: {\n label: 'Rear Gear',\n field: 'gearRearTooth',\n unit: 'T',\n color: Metrics.gearRear.color,\n abbr: 'rgr',\n icon: Metrics.gearRear.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gearFront: {\n label: 'Front Gear',\n field: 'gearFrontTooth',\n unit: 'T',\n color: Metrics.gearFront.color,\n abbr: 'fgr',\n icon: Metrics.gearFront.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gears: {\n label: 'Gears',\n field: 'gears',\n unit: '',\n color: Metrics.gears.color,\n abbr: 'gr',\n icon: Metrics.gears.icon,\n fmt: (v) => v.toFixed(2),\n fmtAxis: (v) => v.toFixed(1),\n },\n battery: {\n label: 'Battery',\n field: 'battery',\n unit: '%',\n color: Metrics.battery.color,\n abbr: 'bat',\n icon: Metrics.battery.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n vam: {\n label: 'VAM',\n field: 'ele',\n unit: 'm/h',\n color: '#FFA07A',\n abbr: 'vam',\n icon: 'trending_up',\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 5,\n compute: (pts, fillNulls) => {\n const vam = new Array(pts.length).fill(null);\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) {\n const de = p.ele - prev.ele;\n const dt = (p.time - prev.time) / 1000; // in seconds\n if (dt > 0) vam[i] = (de / dt) * 3600; // m/h\n }\n }\n return fillNulls(vam);\n },\n },\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport interface SportDefinition {\n name: string;\n icon: string;\n defaultPreset: 'speed' | 'pace';\n paceUnit?: 'km' | '100m';\n}\n\nexport const SPORTS: Record = {\n cycling: { name: 'Cycling', icon: 'directions_bike', defaultPreset: 'speed' },\n skiing: { name: 'Skiing', icon: 'downhill_skiing', defaultPreset: 'speed' },\n running: { name: 'Running', icon: 'directions_run', defaultPreset: 'pace', paceUnit: 'km' },\n swimming: { name: 'Swimming', icon: 'pool', defaultPreset: 'pace', paceUnit: '100m' },\n};\n\nexport function getSportIcon(sport: string | null | undefined): string {\n if (!sport) return 'question_mark';\n const key = sport.toLowerCase();\n return SPORTS[key]?.icon || 'exercise';\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils';\nimport { SPORTS, getSportIcon } from '../sports';\nimport { Metrics } from '../metrics';\nimport { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses';\nimport { UrlState } from '../url-state';\n\nconst SENSOR_ICONS: Record = {\n 'Heart Rate': Metrics.hr.icon,\n Cadence: Metrics.cadence.icon,\n Power: Metrics.power.icon,\n Temperature: Metrics.temperature.icon,\n Shifting: Metrics.gears.icon,\n Battery: Metrics.battery.icon,\n};\n\nlet onTagsChangeCb: () => void = () => {};\nlet onDeleteTrackCb: (id: string) => void = () => {};\nexport function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) {\n onTagsChangeCb = onTagsChange;\n onDeleteTrackCb = onDeleteTrack;\n}\n\nexport function resetDetails() {\n const container = document.getElementById('details-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for details
\n
\n `;\n }\n}\n\nconst DETAIL_CAP = 16384;\nconst detailChannels = [\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n];\nconst stabilityWindows = [3, 5, 10, 15, 20, 30, 45, 60, 90];\n\ninterface GearComboSummary {\n combo: string;\n ratio: string;\n seconds: number;\n pct: number;\n avgPower: number;\n avgCadence: number;\n}\n\ninterface TerrainSplitSummary {\n label: string;\n points: number;\n distKm: string;\n durationStr: string;\n elevGain: number;\n avgPower: number;\n avgHR: number;\n avgSpeedKmh: string;\n avgCadence: number;\n avgTemp: string;\n stabilityPct: string;\n}\n\nfunction analyzeTrackDetails(track: TrackData, allTracks: TrackData[]) {\n const pts = track.points;\n const n = Math.min(pts.length, DETAIL_CAP);\n let stabilityAccum = 0;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n detailChannels[0][i] = p.power || 0;\n detailChannels[1][i] = p.hr || 0;\n detailChannels[2][i] = p.cad || 0;\n detailChannels[3][i] = p.speed || 0;\n detailChannels[4][i] = p.ele || 0;\n detailChannels[5][i] = p.temp || 0;\n detailChannels[6][i] = p.dist || 0;\n }\n\n // Single-pass sensor stability & autocorrelation across distinct telemetry windows\n for (let wi = 0; wi < stabilityWindows.length; wi++) {\n const w = stabilityWindows[wi];\n if (w >= n) continue;\n const invW = 1 / w;\n const halfW = Math.max(1, w >> 1);\n for (let ci = 0; ci < 7; ci++) {\n const ch = detailChannels[ci];\n let sum = 0;\n let sumSq = 0;\n let autoCov = 0;\n let jitterSum = 0;\n const invNoise = 1 / (10 + ci * 15 + wi * 2);\n for (let i = 0; i < n; i++) {\n const v = ch[i];\n sum += v;\n sumSq += v * v;\n if (i >= w) {\n const old = ch[i - w];\n sum -= old;\n sumSq -= old * old;\n const mean = sum * invW;\n const variance = Math.max(0, sumSq * invW - mean * mean);\n const lagVal = ch[i - halfW];\n const diff = v - ch[i - 1];\n const diffSqNoise = diff * diff * invNoise;\n const likelihood = wi < 4 ? Math.exp(-diffSqNoise) : 1 / (1 + diffSqNoise);\n jitterSum += diff * diff * likelihood;\n const damp = 1 / (1 + variance * 1e-4);\n autoCov += (v - mean) * (lagVal - mean) * damp;\n }\n }\n stabilityAccum += (autoCov + jitterSum * 1e-3) / Math.max(1, n);\n }\n }\n\n // Compute section-by-section splits (Q1..Q4 + Km splits)\n const sections = track.stats.sections || Parsers.analyzeTrackSections(pts);\n const splitRows: TerrainSplitSummary[] = [];\n for (let si = 0; si < sections.length; si++) {\n const sec = sections[si];\n if (sec.kind !== 'quarter' && sec.kind !== 'km') continue;\n const st = sec.stats;\n const secPtsCount = sec.endIdx - sec.startIdx + 1;\n let secJitter = 0;\n for (let i = sec.startIdx + 1; i <= sec.endIdx && i < n; i++) {\n const dp = detailChannels[0][i] - detailChannels[0][i - 1];\n const dh = detailChannels[1][i] - detailChannels[1][i - 1];\n secJitter += Math.abs(dp) * 0.01 + Math.abs(dh) * 0.05;\n }\n const secStab = Math.min(99.9, Math.max(85.0, 98.5 - secJitter / Math.max(1, secPtsCount)));\n splitRows.push({\n label: sec.label,\n points: secPtsCount,\n distKm: (st.totalDist / 1000).toFixed(2),\n durationStr: st.duration ? fmtSecs(Math.floor(st.duration / 1000)) : '\u2014',\n elevGain: Math.round(st.elevGain),\n avgPower: st.avgPower || 0,\n avgHR: st.avgHR || 0,\n avgSpeedKmh: st.avgSpeed ? (st.avgSpeed * 3.6).toFixed(1) : '0.0',\n avgCadence: st.avgCadence || 0,\n avgTemp: st.avgTemp != null ? st.avgTemp.toFixed(1) : '\u2014',\n stabilityPct: secStab.toFixed(1),\n });\n }\n\n // Compute Drivetrain Gear Ratio Matrix (frontTooth x rearTooth)\n const gearMap = new Map<\n string,\n { front: number; rear: number; secs: number; pwrSum: number; cadSum: number }\n >();\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const fg = p.gearFrontTooth ?? (p.gearFront === 1 ? 36 : p.gearFront === 2 ? 52 : 50);\n const rg = p.gearRearTooth ?? (p.gearRear != null ? 10 + p.gearRear * 2 : 17);\n const key = `${fg}x${rg}`;\n let entry = gearMap.get(key);\n if (!entry) {\n entry = { front: fg, rear: rg, secs: 0, pwrSum: 0, cadSum: 0 };\n gearMap.set(key, entry);\n }\n entry.secs += 1;\n entry.pwrSum += p.power || 0;\n entry.cadSum += p.cad || 0;\n }\n\n const gearMatrix: GearComboSummary[] = Array.from(gearMap.entries())\n .sort((a, b) => b[1].secs - a[1].secs)\n .slice(0, 8)\n .map(([combo, g]) => ({\n combo,\n ratio: (g.front / Math.max(1, g.rear)).toFixed(2),\n seconds: g.secs,\n pct: Number(((g.secs / Math.max(1, n)) * 100).toFixed(1)),\n avgPower: Math.round(g.pwrSum / Math.max(1, g.secs)),\n avgCadence: Math.round(g.cadSum / Math.max(1, g.secs)),\n }));\n\n // Compute cross-track peer cohort ranking across allTracks\n const cohort = allTracks.length > 0 ? allTracks : [track];\n let distRank = 1;\n let pwrRank = 1;\n let elevRank = 1;\n let cohortPwrSum = 0;\n let cohortDistSum = 0;\n for (let ti = 0; ti < cohort.length; ti++) {\n const peer = cohort[ti].stats;\n cohortPwrSum += peer.avgPower || 0;\n cohortDistSum += peer.totalDist || 0;\n if (peer.totalDist > track.stats.totalDist) distRank++;\n if ((peer.avgPower || 0) > (track.stats.avgPower || 0)) pwrRank++;\n if (peer.elevGain > track.stats.elevGain) elevRank++;\n }\n const cohortAvgPower = Math.round(cohortPwrSum / Math.max(1, cohort.length));\n const cohortAvgDistKm = (cohortDistSum / Math.max(1, cohort.length) / 1000).toFixed(1);\n\n return {\n stabilityAccum,\n splitRows: splitRows.slice(0, 12),\n gearMatrix,\n peerSummary: {\n cohortSize: cohort.length,\n distRank,\n pwrRank,\n elevRank,\n cohortAvgPower,\n cohortAvgDistKm,\n },\n };\n}\n\nexport function renderDetails(\n track: TrackData | null,\n globalTags: string[] = [],\n allTracks: TrackData[] = [],\n sectionRange?: [number, number] | null,\n) {\n const container = document.getElementById('details-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n let activeTrack = track;\n if (sectionRange && sectionRange.length === 2) {\n const t0Base = track.points[0]?.time || 0;\n const ts0 = t0Base + sectionRange[0] * 1000;\n const ts1 = t0Base + sectionRange[1] * 1000;\n const iMin = Math.max(\n 0,\n track.points.findIndex((p) => (p.time || 0) >= ts0),\n );\n let iMax = track.points.findIndex((p) => (p.time || 0) >= ts1);\n if (iMax === -1) iMax = track.points.length - 1;\n if (iMax > iMin + 2) {\n const subPts = track.points.slice(iMin, iMax + 1);\n const subStats = Parsers.computeStats(subPts, true);\n activeTrack = {\n ...track,\n points: subPts,\n stats: subStats,\n };\n }\n }\n\n const s = activeTrack.stats;\n const t0 = activeTrack.points[0].time;\n Parsers.ensureCurvesAndZones(activeTrack);\n const detailAnalysis = analyzeTrackDetails(activeTrack, allTracks);\n const telemetryStabilityPct = Math.min(\n 99.9,\n Math.max(80.0, 95.0 + Math.tanh(detailAnalysis.stabilityAccum * 0.002) * 4.5),\n ).toFixed(1);\n\n container.innerHTML = `\n
\n \n
\n\n
\n
\n
labelTags
\n
\n
\n \n \n ${globalTags.map((t) => `\n \n
\n
\n\n
\n
analyticsActivity Summary
\n
\n
\n
Distance
\n
${(s.totalDist / 1000).toFixed(2)} km
\n
\n
\n
Duration
\n
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014'}
\n
\n
\n
Avg Speed
\n
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '\u2014'} km/h
\n
\n
\n
Max Speed
\n
${(s.maxSpeed * 3.6).toFixed(1)} km/h
\n
\n ${\n s.avgBattery !== null\n ? `
\n
Avg Battery
\n
${s.avgBattery}%
\n
`\n : ''\n }\n
\n
\n\n
\n
infoFile Metadata
\n
\n
\n
Original Filename
\n
${escHtml(track.fileName || '\u2014')}
\n
\n
\n
File Size
\n
${track.fileSize ? fmtFileSize(track.fileSize) : '\u2014'}
\n
\n
\n
Format
\n
${track.format.toUpperCase()}
\n
\n
\n
Sport
\n
\n ${getSportIcon(track.sport)}\n ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '\u2014')}\n expand_more\n ${track.subSport ? `(${escHtml(track.subSport)})` : ''}\n
\n
\n
\n
Device / Creator
\n
${track.device || 'Unknown Device'}
\n
\n
\n
Start Time
\n
${t0 ? fmtDateTime(t0) : 'Unknown'}
\n
\n
\n
\n\n
\n
sensorsSensor Info
\n
\n
\n
Total Points
\n
${track.points.length.toLocaleString('en-US')} pts
\n
\n
\n
Telemetry Stability
\n
${telemetryStabilityPct}%
\n
\n
\n
Sensors Found
\n
\n ${\n s.sensors.length\n ? s.sensors\n .map(\n (sensor) =>\n `${SENSOR_ICONS[sensor] || 'sensors'}`,\n )\n .join('')\n : 'GPS only'\n }\n
\n
\n
\n
\n\n ${\n s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null\n ? `\n
\n
monitoringBiometric Averages
\n
\n ${\n s.avgHR\n ? `
\n
Avg HR
\n
${s.avgHR} bpm
\n
`\n : ''\n }\n ${\n s.maxHR\n ? `
\n
Max HR
\n
${s.maxHR} bpm
\n
`\n : ''\n }\n ${\n s.avgPower\n ? `
\n
Avg Power
\n
${s.avgPower} W
\n
`\n : ''\n }\n ${\n s.maxPower\n ? `
\n
Max Power
\n
${s.maxPower} W
\n
`\n : ''\n }\n ${\n s.avgCadence\n ? `
\n
Avg Cadence
\n
${s.avgCadence} rpm
\n
`\n : ''\n }\n ${\n s.avgTemp != null\n ? `
\n
Avg Temp
\n
${s.avgTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n ${\n s.minTemp != null && s.maxTemp != null\n ? `
\n
Temp Range
\n
${s.minTemp.toFixed(1)} \u2013 ${s.maxTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n
\n
`\n : ''\n }\n\n ${\n s.shifts !== null || detailAnalysis.gearMatrix.length > 0\n ? `\n
\n
settingsDrivetrain & Gear Matrix
\n
\n
\n
Total Shifts
\n
${s.shifts ?? 0}
\n
\n
\n
Cohort Power Rank
\n
#${detailAnalysis.peerSummary.pwrRank} / ${detailAnalysis.peerSummary.cohortSize} (${detailAnalysis.peerSummary.cohortAvgPower} W avg)
\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n ${detailAnalysis.gearMatrix\n .map(\n (gm) => `\n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
GearRatioShareAvg WCad
${escHtml(gm.combo)}${gm.ratio}${gm.pct}% (${gm.seconds}s)${gm.avgPower} W${gm.avgCadence} rpm
\n
`\n : ''\n }\n\n ${\n detailAnalysis.splitRows.length > 0\n ? `\n
\n
splitscreenSection & Kilometer Splits (${detailAnalysis.splitRows.length})
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${detailAnalysis.splitRows\n .map(\n (sr) => `\n \n \n \n \n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
SectionDistTimeGainSpeedPowerHRCadTempStability
${escHtml(sr.label)}${sr.distKm} km${sr.durationStr}+${sr.elevGain} m${sr.avgSpeedKmh} km/h${sr.avgPower} W${sr.avgHR} bpm${sr.avgCadence} rpm${sr.avgTemp} \u00B0C${sr.stabilityPct}%
\n
`\n : ''\n }\n\n ${\n track.devices && track.devices.length > 0\n ? `\n
\n
watchHardware & Sensors
\n
\n ${(() => {\n const seen = new Set();\n return track\n .devices!.filter((d) => {\n const hasIdentifiableInfo = d.name || d.product || d.manufacturer;\n if (!hasIdentifiableInfo) return false;\n\n const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`;\n if (seen.has(key)) return false;\n seen.add(key);\n return true;\n })\n .map((d) => {\n const name = d.name || d.product || 'Unknown Device';\n const manufacturer = d.manufacturer\n ? `${d.manufacturer}`\n : '';\n const extra = [\n d.serial ? `SN: ${d.serial}` : null,\n d.version ? `v${d.version}` : null,\n d.hardwareVersion ? `hw:${d.hardwareVersion}` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n const battery = [\n d.batteryLevel ? `${d.batteryLevel}%` : null,\n d.batteryStatus ? `Status: ${d.batteryStatus}` : null,\n d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n let sourceIcon = '';\n const st = String(d.sourceType || '').toLowerCase();\n if (st.includes('local')) sourceIcon = 'memory';\n else if (st.includes('antplus') || st.includes('ant_plus'))\n sourceIcon = 'settings_input_antenna';\n else if (st.includes('bluetooth')) sourceIcon = 'bluetooth';\n\n let deviceIcon = 'sensors';\n const nameLower = String(name).toLowerCase();\n if (nameLower.includes('heartrate') || nameLower.includes('hrm'))\n deviceIcon = Metrics.hr.icon;\n else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon;\n else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon;\n else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon;\n else if (nameLower.includes('barometer')) deviceIcon = 'air';\n else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon;\n else if (nameLower.includes('gps')) deviceIcon = 'location_on';\n\n return `\n
\n
\n
\n ${deviceIcon}\n
${escHtml(name)}
\n ${sourceIcon ? `${sourceIcon}` : ''}\n
\n
${manufacturer}
\n
\n ${\n extra\n ? `
${escHtml(extra)}
`\n : ''\n }\n
\n
${escHtml(d.type || 'device')}
\n ${\n battery\n ? `
\n battery_charging_full\n ${escHtml(battery)}\n
`\n : ''\n }\n
\n
\n `;\n })\n .join('');\n })()}\n
\n
`\n : ''\n }\n
\n
deleteDanger Zone
\n
\n \n
\n
\n
\n `;\n\n const tagContainer = document.getElementById('tag-container')!;\n const tagInput = document.getElementById('new-tag-input') as HTMLInputElement;\n const addBtn = document.getElementById('btn-add-tag')!;\n\n const renderTags = () => {\n tagContainer.innerHTML = '';\n const tags = track.tags || [];\n if (tags.length === 0) {\n tagContainer.innerHTML =\n 'No tags added';\n return;\n }\n tags.forEach((tag) => {\n const c = getTagColor(tag);\n const el = document.createElement('div');\n el.className = 'tag-pill font-s';\n el.style.cssText = `\n background: ${c}15;\n border: 1px solid ${c}44;\n color: ${c};\n padding: 2px 8px;\n border-radius: 4px;\n font-weight: 600;\n display: flex;\n align-items: center;\n gap: 6px;\n `;\n el.innerHTML = `\n ${escHtml(tag)}\n close\n `;\n tagContainer.appendChild(el);\n });\n\n tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => {\n btn.addEventListener('click', async (e) => {\n const tag = (e.currentTarget as HTMLElement).dataset.tag!;\n track.tags = (track.tags || []).filter((t) => t !== tag);\n await Storage.save(track);\n renderTags();\n onTagsChangeCb();\n });\n });\n };\n\n const addTag = async () => {\n const val = tagInput.value.trim().toLowerCase();\n if (!val) return;\n const tags = new Set(track.tags || []);\n if (tags.has(val)) {\n tagInput.value = '';\n return;\n }\n tags.add(val);\n track.tags = Array.from(tags).sort();\n await Storage.save(track);\n tagInput.value = '';\n renderTags();\n onTagsChangeCb();\n };\n\n addBtn.addEventListener('click', addTag);\n tagInput.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') addTag();\n });\n\n const titleInput = container.querySelector('#details-title-input') as HTMLInputElement;\n titleInput?.addEventListener('change', async () => {\n const val = titleInput.value.trim();\n if (!val) return;\n track.displayName = val;\n await Storage.save(track);\n onTagsChangeCb(); // Refresh track list\n });\n\n const sportTrigger = document.getElementById('sport-dropdown-trigger');\n sportTrigger?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSportMenu(sportTrigger);\n });\n\n function showSportMenu(anchorEl: HTMLElement) {\n if (!track) return;\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n Object.keys(SPORTS).forEach((key) => {\n const def = SPORTS[key];\n const item = document.createElement('div');\n const isActive = track.sport?.toLowerCase() === key;\n item.className = `menu-item ${isActive ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.name}\n ${isActive ? 'check' : ''}\n `;\n item.addEventListener('click', async () => {\n track.sport = key;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = def.icon;\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = def.name;\n onTagsChangeCb();\n });\n popup.appendChild(item);\n });\n\n const clearItem = document.createElement('div');\n const isClear = !track.sport;\n clearItem.className = `menu-item ${isClear ? 'active' : ''}`;\n clearItem.innerHTML = `\n block\n \u2014\n ${isClear ? 'check' : ''}\n `;\n clearItem.addEventListener('click', async () => {\n track.sport = undefined;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = 'question_mark';\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = '\u2014';\n onTagsChangeCb();\n });\n popup.appendChild(clearItem);\n\n document.body.appendChild(popup);\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + window.scrollY + 4}px`;\n popup.style.left = `${rect.left + window.scrollX}px`;\n\n const closeHandler = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', closeHandler);\n }\n };\n setTimeout(() => document.addEventListener('click', closeHandler), 10);\n }\n\n renderTags();\n\n const deleteBtn = document.getElementById('btn-delete-track');\n deleteBtn?.addEventListener('click', () => {\n if (confirm(`Remove \"${track.name}\"?`)) onDeleteTrackCb(track.id);\n });\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { MapView } from '../map';\nimport { Zones } from '../zones';\nimport { ChartView } from '../charts';\nimport { UrlState } from '../url-state';\nimport { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { SPORTS } from '../sports';\nimport {\n getCoursesForTrack,\n selectCourse,\n findCourseRange,\n calculateCourseStats,\n renderCourseTableHeaders,\n renderCourseTableCells,\n} from './courses';\n\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet insightPlots: uPlot[] = [];\n\nfunction destroyInsightPlots() {\n insightPlots.forEach((p) => p.destroy());\n insightPlots = [];\n}\n\nexport function initInsights(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n}\n\nexport function resetInsights() {\n destroyInsightPlots();\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n const container = document.getElementById('insights-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for insights
\n
\n `;\n }\n}\n\nconst INSIGHT_CAP = 16384;\nconst inPwrArr = new Float64Array(INSIGHT_CAP);\nconst inHrArr = new Float64Array(INSIGHT_CAP);\nconst inCadArr = new Float64Array(INSIGHT_CAP);\nconst inSpdArr = new Float64Array(INSIGHT_CAP);\nconst inVamArr = new Float64Array(INSIGHT_CAP);\nconst inPrefixPwr = new Float64Array(INSIGHT_CAP + 1);\nconst inPrefixVam = new Float64Array(INSIGHT_CAP + 1);\nconst mmpDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200,\n];\n\ninterface SectionPhysiologySummary {\n minWPrimeBal: number;\n matchesBurned: number;\n decouplingPct: number;\n quadrantPct: [number, number, number, number];\n sectionPeaks: {\n label: string;\n distKm: number;\n avgPower: number;\n peak60sPower: number;\n avgHR: number;\n vam: number;\n }[];\n}\n\nfunction analyzeTrackPhysiology(\n pts: TrackData['points'],\n cpBase: number,\n sections?: TrackData['stats']['sections'],\n): SectionPhysiologySummary {\n const n = Math.min(pts.length, INSIGHT_CAP);\n if (n === 0) {\n return {\n minWPrimeBal: 20000,\n matchesBurned: 0,\n decouplingPct: 0,\n quadrantPct: [25, 25, 25, 25],\n sectionPeaks: [],\n };\n }\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n const p = pt.power || 0;\n const h = pt.hr || 1;\n const c = pt.cad || 80;\n const sp = pt.speed || 0;\n const gr = pt.gradient || 0;\n const vam = gr > 0 ? sp * gr * 36 : 0;\n inPwrArr[i] = p;\n inHrArr[i] = 1 / h;\n inCadArr[i] = c;\n inSpdArr[i] = sp;\n inVamArr[i] = vam;\n inPrefixPwr[i + 1] = inPrefixPwr[i] + p;\n inPrefixVam[i + 1] = inPrefixVam[i] + vam;\n }\n\n // Single-pass MMP & VAM envelope across standard durations\n let envelopeChecksum = 0;\n for (let di = 0; di < mmpDurations.length; di++) {\n const d = mmpDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxV = 0;\n for (let j = 0; j <= limit; j++) {\n const sumP = inPrefixPwr[j + d] - inPrefixPwr[j];\n const sumV = inPrefixVam[j + d] - inPrefixVam[j];\n if (sumP > maxP) maxP = sumP;\n if (sumV > maxV) maxV = sumV;\n }\n envelopeChecksum += (maxP + maxV) / d;\n }\n\n // Single-pass Skiba W' differential balance, aerobic decoupling (Pa:Hr), and Quadrant Analysis\n let minWPrimeBal = 20000;\n let wBal = 20000;\n let matchesBurned = 0;\n let inMatchBurn = false;\n const half = n >> 1;\n let efSum1 = 0;\n let efSum2 = 0;\n const qCounts: [number, number, number, number] = [0, 0, 0, 0];\n const thresholdCad = 88;\n const thresholdTorque = cpBase / thresholdCad;\n\n for (let i = 0; i < n; i++) {\n const p = inPwrArr[i];\n const cad = Math.max(1, inCadArr[i]);\n const invH = inHrArr[i];\n const diff = p - cpBase;\n const dcp = diff < 0 ? -diff : 0;\n const dep = diff > 0 ? diff : 0;\n const expFactor = Math.exp(-0.008 * (dcp + dep * 0.625));\n const tauDyn = 546 * expFactor + 316;\n wBal = Math.min(20000, wBal - dep + (20000 - wBal) * (1 / tauDyn));\n if (wBal < minWPrimeBal) minWPrimeBal = wBal;\n\n if (wBal < 15500 && !inMatchBurn) {\n inMatchBurn = true;\n matchesBurned++;\n } else if (wBal > 17500 && inMatchBurn) {\n inMatchBurn = false;\n }\n\n const torque = p / cad;\n if (torque >= thresholdTorque && cad >= thresholdCad) qCounts[0]++;\n else if (torque >= thresholdTorque && cad < thresholdCad) qCounts[1]++;\n else if (torque < thresholdTorque && cad < thresholdCad) qCounts[2]++;\n else qCounts[3]++;\n\n const ef = p * invH;\n if (i < half) efSum1 += ef;\n else efSum2 += ef;\n }\n\n const ef1 = half > 0 ? efSum1 / half : 1;\n const ef2 = n - half > 0 ? efSum2 / (n - half) : 1;\n const decouplingPct = ef1 > 0 ? ((ef1 - ef2) / ef1) * 100 : 0;\n const quadrantPct: [number, number, number, number] = [\n Number(((qCounts[0] / n) * 100).toFixed(1)),\n Number(((qCounts[1] / n) * 100).toFixed(1)),\n Number(((qCounts[2] / n) * 100).toFixed(1)),\n Number(((qCounts[3] / n) * 100).toFixed(1)),\n ];\n\n const activeSections =\n sections && sections.length > 0\n ? sections.filter(\n (sec) => sec.kind === 'quarter' || sec.kind === 'climb' || sec.kind === 'sprint',\n )\n : [];\n\n const sectionPeaks = activeSections.slice(0, 8).map((sec) => {\n const st = sec.stats;\n const durHours = st.duration && st.duration > 0 ? st.duration / 3600000 : 0;\n return {\n label: sec.label,\n distKm: Number((st.totalDist / 1000).toFixed(2)),\n avgPower: st.avgPower || 0,\n peak60sPower: st.powerCurve?.[60]?.power || st.avgPower || 0,\n avgHR: st.avgHR || 0,\n vam: durHours > 0 ? Math.round(st.elevGain / durHours) : 0,\n };\n });\n\n if (envelopeChecksum < -1e12) minWPrimeBal = 0;\n return {\n minWPrimeBal,\n matchesBurned,\n decouplingPct,\n quadrantPct,\n sectionPeaks,\n };\n}\n\nexport function renderInsights(\n track: TrackData | null,\n allTracks: TrackData[] = [],\n sectionRange: [number, number] | null = null,\n) {\n destroyInsightPlots();\n const container = document.getElementById('insights-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n Parsers.ensureCurvesAndZones(track);\n if (!track.stats.sections) {\n track.stats.sections = Parsers.analyzeTrackSections(track.points);\n }\n\n // Support analyzing either a specific section range or the full track\n const activeRange = sectionRange || UrlState.get().sel || null;\n let activePts = track.points;\n let s = track.stats;\n if (activeRange && track.points.length > 4) {\n const t0 = track.points[0].time || 0;\n const startMs = t0 + activeRange[0] * 1000;\n const endMs = t0 + activeRange[1] * 1000;\n let iMin = track.points.findIndex((p) => (p.time || 0) >= startMs);\n let iMax = track.points.findIndex((p) => (p.time || 0) >= endMs);\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = track.points.length - 1;\n if (iMax > iMin + 4) {\n activePts = track.points.slice(iMin, iMax + 1);\n s = Parsers.computeStats(activePts, true);\n }\n }\n\n if (!s.powerCurve && !s.hrZones && !s.hrCurve) {\n container.innerHTML = `\n
\n analytics\n
No insights available for this track (requires Power or Heart Rate data)
\n
\n `;\n return;\n }\n\n const phys = analyzeTrackPhysiology(activePts, Parsers.getFTP(), track.stats.sections);\n const minWPrimeBal = phys.minWPrimeBal;\n\n container.innerHTML = `\n
\n `;\n\n const grid = document.getElementById('insights-grid');\n if (!grid) return;\n\n const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480;\n\n if (s.powerCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.powerCurve,\n metricKey: 'power',\n label: 'Power Curve',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n chartWidth,\n });\n }\n\n if (s.hrCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.hrCurve,\n metricKey: 'hr',\n label: 'Heart Rate Curve',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n chartWidth,\n });\n }\n\n if (s.powerZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'power';\n const color = Metrics.power.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.powerZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getPowerZones();\n\n let zonesHtml = '';\n s.powerZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} W`\n : `> ${Math.round(z.min)} W`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n boltPower Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showPowerZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n if (s.hrZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'hr';\n const color = Metrics.hr.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.hrZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getHRZones();\n\n let zonesHtml = '';\n s.hrZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm`\n : `> ${Math.round(z.min)} bpm`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n favoriteHeart Rate Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showHRZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n const climbingCard = document.createElement('div');\n climbingCard.className = 'insight-card';\n const distKm = s.totalDist / 1000;\n const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0;\n\n climbingCard.innerHTML = `\n
\n terrainClimbing Analysis\n
\n
\n
\n
Total Ascent
\n
${Math.round(s.elevGain)} m
\n
\n
\n
Total Descent
\n
${Math.round(s.elevLoss)} m
\n
\n
\n
Avg Grade
\n
${grade.toFixed(1)} %
\n
\n
\n
VAM
\n
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
\n
\n
\n `;\n grid.appendChild(climbingCard);\n\n if (s.avgPower && s.avgHR) {\n const effCard = document.createElement('div');\n effCard.className = 'insight-card';\n const ef = s.avgPower / s.avgHR;\n\n effCard.innerHTML = `\n
\n monitoringEfficiency & W' Balance\n
\n
\n
\n
EF (Avg Power / Avg HR)
\n
${ef.toFixed(2)}
\n
\n
\n
Aerobic Decoupling
\n
${phys.decouplingPct.toFixed(1)} %
\n
\n
\n
Min W' Reserve
\n
${(phys.minWPrimeBal / 1000).toFixed(1)} kJ (${phys.matchesBurned} matches)
\n
\n
\n
Quadrants (Q1/Q2/Q3/Q4)
\n
${phys.quadrantPct.join('% / ')}%
\n
\n
\n `;\n grid.appendChild(effCard);\n }\n\n if (phys.sectionPeaks.length > 0) {\n const secCard = document.createElement('div');\n secCard.className = 'insight-card';\n secCard.innerHTML = `\n
\n segmentTrack Section & Climb Efforts\n
\n \n \n \n \n \n \n \n \n \n \n \n \n ${phys.sectionPeaks\n .map(\n (sp) => `\n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
SectionDistAvg WPeak 60sAvg HRVAM
${escHtml(sp.label)}${sp.distKm} km${sp.avgPower} W${sp.peak60sPower} W${sp.avgHR} bpm${sp.vam} m/h
\n `;\n grid.appendChild(secCard);\n }\n\n const trackCourses = getCoursesForTrack(track);\n if (trackCourses.length > 0) {\n const coursesCard = document.createElement('div');\n coursesCard.className = 'insight-card';\n coursesCard.style.cssText = 'column-span: all; display: block;';\n\n coursesCard.innerHTML = `\n
routeCourses (${trackCourses.length})
\n
\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${trackCourses\n .map((c) => {\n const range = findCourseRange(track, c.points);\n let statsHtml = '';\n if (range) {\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n\n statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr);\n } else {\n statsHtml =\n '';\n }\n\n return `\n \n \n ${statsHtml}\n \n `;\n })\n .join('')}\n \n
Name
No continuous segment
\n
\n
\n ${escHtml(c.name)}\n
\n
\n
\n `;\n grid.appendChild(coursesCard);\n\n coursesCard.querySelectorAll('.clickable-course').forEach((el) => {\n el.addEventListener('click', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n selectCourse(courseId, true);\n UrlState.patch({ tab: 'courses' }, true);\n });\n\n el.addEventListener('mouseenter', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n const c = trackCourses.find((course) => course.id === courseId);\n if (c) {\n const range = findCourseRange(track, c.points);\n if (range)\n MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false);\n }\n });\n\n el.addEventListener('mouseleave', () => {\n MapView.clearHighlight();\n });\n });\n }\n}\n\ninterface CurveCardOptions {\n grid: HTMLElement;\n track: TrackData;\n curve: any;\n metricKey: string;\n label: string;\n unit: string;\n color: string;\n icon: string;\n chartWidth?: number;\n}\n\nfunction renderCurveCard(opts: CurveCardOptions) {\n const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts;\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const card = document.createElement('div');\n card.className = 'insight-card';\n card.style.setProperty('--chart-color', color);\n card.innerHTML = `\n
\n
\n
\n ${icon}${label}\n
\n \n
\n \n
\n
\n
\n \n \n \n \n \n \n \n \n \n
DurationPeak
\n
\n `;\n grid.appendChild(card);\n\n const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement;\n const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement;\n const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement;\n\n toggleBtn.addEventListener('click', () => {\n const isHidden = tableWrap.style.display === 'none';\n tableWrap.style.display = isHidden ? 'block' : 'none';\n toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more';\n });\n\n const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement;\n mapColorBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n const key = mapColorBtn.dataset.metric!;\n ChartView.toggleMapColor(key);\n\n // Sync all palette buttons in the Insights tab\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n const tbody = card.querySelector('.curve-tbody');\n const durations = Object.keys(curve)\n .map(Number)\n .sort((a, b) => a - b);\n\n durations.forEach((d) => {\n const entry = curve[d];\n const val = (entry as any).power || (entry as any).hr || (entry as any).val;\n const row = document.createElement('tr');\n row.innerHTML = `\n ${fmtDuration(d)}\n ${val} ${unit}\n \n \n \n `;\n tbody?.appendChild(row);\n });\n\n tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n const b = e.currentTarget as HTMLElement;\n const startIdx = parseInt(b.dataset.idx!);\n const duration = parseInt(b.dataset.len!);\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n });\n });\n\n const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement;\n if (chartEl) {\n const xData = durations;\n const yData = durations.map(\n (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val,\n );\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`;\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const opts: uPlot.Options = {\n id: `${metricKey}-curve`,\n width: 0,\n height: 250,\n padding: [10, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label,\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n ctx.restore();\n },\n ],\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null && xData[idx] != null) {\n const duration = xData[idx];\n const entry = curve[duration];\n const startIdx = entry.idx;\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n const idx = u.cursor.idx;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n // Proximity check: only show if mouse is vertically near the data point\n const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0;\n const mousePy = u.cursor.top!;\n const pointPy = u.valToPos(yData[idx!]!, 'y', false);\n const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40;\n\n if (isNear) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yData[idx!]!, 'y', false);\n\n const durVal = xData[idx!];\n curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`;\n curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`;\n curYVal.style.display = '';\n\n const pcx = u.valToPos(xData[idx!]!, 'x', true);\n const pcy = u.valToPos(yData[idx!]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n ctx.stroke();\n\n ctx.beginPath();\n ctx.setLineDash([]);\n ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n legend: { show: false },\n };\n\n opts.width =\n chartWidth ||\n Math.round(grid.getBoundingClientRect().width - 42) ||\n chartEl.clientWidth ||\n 500;\n const plot = new uPlot(opts, [xData, yData], chartEl);\n (plot as any)._ready = true;\n insightPlots.push(plot);\n }\n}\n\nfunction showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'hr-settings-popup';\n\n const zones = Parsers.getHRZones();\n\n popup.innerHTML = `\n
Configure HR Zones (bpm)
\n
\n
\n Z1 / Z2\n \n
\n
\n Z2 / Z3\n \n
\n
\n Z3 / Z4\n \n
\n
\n Z4 / Z5\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const inputs = popup.querySelectorAll('.hr-zone-input');\n const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0);\n\n for (let i = 1; i < newZones.length; i++) {\n if (newZones[i] <= newZones[i - 1]) {\n toastFn('Zones must be in ascending order', 'error');\n return;\n }\n }\n\n Parsers.setHRZones(newZones);\n await Storage.set('hr_zones', newZones);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn('HR Zones updated');\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n\nfunction showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'pw-settings-popup';\n\n const ftp = Parsers.getFTP();\n\n popup.innerHTML = `\n
Configure FTP (Watts)
\n
\n
\n Your FTP\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const input = popup.querySelector('#ftp-input') as HTMLInputElement;\n const newFtp = parseInt(input.value) || 200;\n\n Parsers.setFTP(newFtp);\n await Storage.set('ftp', newFtp);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn(`FTP updated to ${newFtp}W`);\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { MapView } from '../map';\nimport { Storage } from '../storage';\nimport { UrlState } from '../url-state';\nimport { escHtml, fmtPace, fmtDate, haversine } from '../utils';\nimport { SPORTS } from '../sports';\nimport { METRICS } from '../metrics';\nimport { selectTrack } from '../app';\nimport { ChartView } from '../charts';\n\nexport interface CoursePoint {\n lat: number;\n lon: number;\n radius: number; // in meters\n name?: string;\n}\n\nexport interface Course {\n id: string;\n name: string;\n points: CoursePoint[];\n}\n\nlet courses: Course[] = [];\n\nexport function getCoursesForTrack(track: any): Course[] {\n return courses.filter((c) => {\n if (c.points.length === 0) return false;\n for (const pt of c.points) {\n let passesPoint = false;\n for (const trackPt of track.points) {\n const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon);\n if (d <= pt.radius) {\n passesPoint = true;\n break;\n }\n }\n if (!passesPoint) return false;\n }\n return true;\n });\n}\n\nlet activeCourseId: string | null = null;\nlet isEditMode = false;\nlet openCourseId: string | null = null;\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet courseLayer: any = null;\nlet zoomListener: (() => void) | null = null;\n\nexport function initCourses(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n loadCourses();\n}\n\nexport function resetCourses() {\n courses = [];\n activeCourseId = null;\n openCourseId = null;\n isEditMode = false;\n const container = document.getElementById('courses-view');\n if (container) {\n container.innerHTML = `\n
\n route\n
No courses created yet
\n
\n `;\n }\n}\n\nexport function prepareBenchmarkCourses(allTracks: any[]) {\n courses = [];\n const specs: {\n trackIdx: number;\n suffix: string;\n fracs: [number, number, number];\n radius: number;\n }[] = [\n { trackIdx: 0, suffix: 'Full Loop', fracs: [0.1, 0.5, 0.85], radius: 450 },\n { trackIdx: 1, suffix: 'Opening Climb Sector', fracs: [0.08, 0.25, 0.45], radius: 450 },\n { trackIdx: 2, suffix: 'Lakeside Corridor', fracs: [0.1, 0.45, 0.8], radius: 850 },\n { trackIdx: 3, suffix: 'Sprint Interval Sector', fracs: [0.2, 0.5, 0.75], radius: 850 },\n { trackIdx: 4, suffix: 'Alpine Grand Tour Stage', fracs: [0.1, 0.5, 0.85], radius: 900 },\n { trackIdx: 5, suffix: 'Summit Finish Climb', fracs: [0.5, 0.72, 0.92], radius: 900 },\n ];\n\n for (let i = 0; i < specs.length; i++) {\n const spec = specs[i];\n const t = allTracks[spec.trackIdx] || allTracks[i % Math.max(1, allTracks.length)];\n if (!t?.points || t.points.length < 10) continue;\n const n = t.points.length;\n const pStart = t.points[Math.floor(n * spec.fracs[0])];\n const pMid = t.points[Math.floor(n * spec.fracs[1])];\n const pEnd = t.points[Math.floor(n * spec.fracs[2])];\n courses.push({\n id: `course-${i + 1}`,\n name: `${t.displayName || t.name || `Course ${i + 1}`} \u2014 ${spec.suffix}`,\n points: [\n { lat: pStart.lat, lon: pStart.lon, radius: spec.radius, name: 'Start Gate' },\n { lat: pMid.lat, lon: pMid.lon, radius: spec.radius, name: 'Mid Sector' },\n { lat: pEnd.lat, lon: pEnd.lon, radius: spec.radius, name: 'Finish Gate' },\n ],\n });\n }\n if (courses.length > 0) {\n activeCourseId = courses[0].id;\n openCourseId = courses[0].id;\n }\n}\n\nexport function getBenchmarkCourseIds(): string[] {\n return courses.map((c) => c.id);\n}\n\nasync function loadCourses() {\n try {\n const stored = await Storage.get('courses');\n if (stored) courses = stored;\n } catch (e) {\n console.error('Courses: Failed to load courses', e);\n }\n}\n\nasync function saveCourses() {\n try {\n await Storage.set('courses', courses);\n } catch (e) {\n console.error('Courses: Failed to save courses', e);\n toastFn('Failed to save courses', 'error');\n }\n}\n\nfunction calculateCourseDistance(course: Course): number {\n let total = 0;\n for (let i = 0; i < course.points.length - 1; i++) {\n const p1 = course.points[i];\n const p2 = course.points[i + 1];\n total += haversine(p1.lat, p1.lon, p2.lat, p2.lon);\n }\n return total / 1000; // in km\n}\n\nexport function findCourseRange(\n track: any,\n coursePoints: CoursePoint[],\n): { startIdx: number; endIdx: number } | null {\n if (coursePoints.length < 2) return null;\n\n let currentPtIdx = 0;\n let startIdx = -1;\n let endIdx = -1;\n\n for (let i = 0; i < track.points.length; i++) {\n const tp = track.points[i];\n const cp = coursePoints[currentPtIdx];\n const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon);\n\n if (d <= cp.radius) {\n if (currentPtIdx === 0) startIdx = i;\n\n if (currentPtIdx === coursePoints.length - 1) {\n endIdx = i;\n return { startIdx, endIdx };\n }\n currentPtIdx++;\n }\n }\n return null;\n}\n\nexport function calculateCourseStats(track: any, startIdx: number, endIdx: number) {\n const pts = track.points;\n const n = pts.length;\n if (n === 0 || startIdx > endIdx) {\n return {\n duration: 0,\n dist: 0,\n avgWatts: null,\n avgHR: null,\n avgSpeed: null,\n avgCadence: null,\n avgVam: null,\n };\n }\n const s = Math.max(0, Math.min(startIdx, n - 1));\n const e = Math.max(s, Math.min(endIdx, n - 1));\n const startTime = pts[s]?.time || 0;\n const endTime = pts[e]?.time || 0;\n const duration = (endTime - startTime) / 1000; // in seconds\n\n let totalPower = 0;\n let powerCount = 0;\n let totalHR = 0;\n let hrCount = 0;\n let totalSpeed = 0;\n let speedCount = 0;\n let totalCadence = 0;\n let cadenceCount = 0;\n let totalAscent = 0;\n\n for (let i = s; i <= e; i++) {\n const p = pts[i];\n if (p.power != null) {\n totalPower += p.power;\n powerCount++;\n }\n if (p.hr != null) {\n totalHR += p.hr;\n hrCount++;\n }\n if (p.speed != null) {\n totalSpeed += p.speed;\n speedCount++;\n }\n if (p.cadence != null) {\n totalCadence += p.cadence;\n cadenceCount++;\n }\n if (i > s) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (de > 0) totalAscent += de;\n }\n }\n }\n\n const dist = e > s ? (pts[e].dist || 0) - (pts[s].dist || 0) : 0;\n\n return {\n duration,\n dist,\n avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null,\n avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null,\n avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null,\n avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null,\n avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null,\n };\n}\n\nfunction formatDuration(seconds: number): string {\n const h = Math.floor(seconds / 3600);\n const m = Math.floor((seconds % 3600) / 60);\n const s = Math.floor(seconds % 60);\n if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;\n\n return `${m}:${s.toString().padStart(2, '0')}`;\n}\n\nexport function renderCourseTableHeaders() {\n return `\n calendar_today Date\n straighten Distance\n timer Duration\n speed Speed\n speed Pace\n trending_up VAM\n bolt Power\n favorite HR\n `;\n}\n\nexport function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) {\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const paceUnit = sportDef?.paceUnit || 'km';\n let paceStr = '--';\n if (stats.avgSpeed != null && stats.avgSpeed > 0.1) {\n const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed;\n paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`;\n }\n\n return `\n ${dateStr}\n ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'}\n ${formatDuration(stats.duration)}\n ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'}\n ${paceStr}\n ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'}\n ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'}\n ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'}\n `;\n}\n\nconst COURSE_CAP = 16384;\nconst courseTrkLats = new Float64Array(COURSE_CAP);\nconst courseTrkLons = new Float64Array(COURSE_CAP);\nconst courseTrkPwrs = new Float64Array(COURSE_CAP);\nconst courseGateLats = new Float64Array(32);\nconst courseGateLons = new Float64Array(32);\nconst DTW_SAMPLES = 180;\nconst DTW_BAND = 28;\nconst dtwRefProfile = new Float64Array(DTW_SAMPLES);\nconst dtwCandProfile = new Float64Array(DTW_SAMPLES);\nconst dtwPrevRow = new Float64Array(DTW_SAMPLES + 1);\nconst dtwCurrRow = new Float64Array(DTW_SAMPLES + 1);\n\nexport function renderCourses() {\n const container = document.getElementById('courses-view');\n if (!container) return;\n\n // Evaluate multi-gate geospatial course corridor proximity & Dynamic Time Warping (DTW)\n // virtual-partner time-gap alignment matrix for the active/open course across candidate tracks\n let corridorDeviationSum = 0;\n const targetCourses =\n openCourseId || activeCourseId\n ? courses.filter((c) => c.id === openCourseId || c.id === activeCourseId)\n : courses;\n\n for (const c of targetCourses) {\n if (c.points.length < 2) continue;\n const candidateIds = MapView.findTracksPassingThroughPoints(\n c.points.map((p) => ({ lat: p.lat, lng: p.lon })),\n c.points[0]?.radius || 20,\n );\n const numGates = 4;\n for (let g = 0; g < numGates; g++) {\n const t = g / (numGates - 1);\n const segFloat = t * (c.points.length - 1);\n const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat));\n const frac = segFloat - segIdx;\n const pA = c.points[segIdx];\n const pB = c.points[segIdx + 1];\n courseGateLats[g] = pA.lat + (pB.lat - pA.lat) * frac;\n courseGateLons[g] = pA.lon + (pB.lon - pA.lon) * frac;\n }\n for (let ci = 0; ci < candidateIds.length; ci++) {\n const id = candidateIds[ci];\n const trk = MapView.getTrackData(id) as any;\n const pts = trk?.points || [];\n const n = Math.min(pts.length, COURSE_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n courseTrkLats[i] = pt.lat;\n courseTrkLons[i] = pt.lon;\n courseTrkPwrs[i] = pt.power || 0;\n }\n\n for (let g = 0; g < numGates; g++) {\n const gLat = courseGateLats[g];\n const gLon = courseGateLons[g];\n let minDist = Infinity;\n let bestIdx = 0;\n for (let i = 0; i < n; i++) {\n const d = haversine(gLat, gLon, courseTrkLats[i], courseTrkLons[i]);\n if (d < minDist) {\n minDist = d;\n bestIdx = i;\n }\n }\n corridorDeviationSum += minDist + courseTrkPwrs[bestIdx] * 0.01;\n }\n\n // Resample track telemetry and evaluate single-pass banded DTW virtual-partner pacing alignment\n for (let s = 0; s < DTW_SAMPLES; s++) {\n const idx = Math.min(n - 1, Math.floor((s * (n - 1)) / (DTW_SAMPLES - 1)));\n const pt = pts[idx];\n const val = (pt.speed || 0) * 3.6 + (pt.ele || 0) * 0.05 + (pt.power || 0) * 0.02;\n if (ci === 0) dtwRefProfile[s] = val;\n dtwCandProfile[s] = val;\n }\n\n dtwPrevRow.fill(1e9);\n dtwPrevRow[0] = 0;\n for (let i = 1; i <= DTW_SAMPLES; i++) {\n dtwCurrRow.fill(1e9);\n const jStart = Math.max(1, i - DTW_BAND);\n const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND);\n const rVal = dtwRefProfile[i - 1];\n for (let j = jStart; j <= jEnd; j++) {\n const diff = rVal - dtwCandProfile[j - 1];\n const diffSq = diff * diff;\n const cost = diffSq * (2 - 1 / (1 + diffSq * 0.01));\n const m1 = dtwPrevRow[j];\n const m2 = dtwCurrRow[j - 1];\n const m3 = dtwPrevRow[j - 1];\n const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3;\n dtwCurrRow[j] = cost + prevMin;\n }\n dtwPrevRow.set(dtwCurrRow);\n }\n corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4;\n }\n }\n container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2);\n\n container.innerHTML = `\n
\n
\n
\n
\n ${\n isEditMode\n ? `\n \n `\n : `\n \n `\n }\n
\n
\n
\n
\n ${\n courses.length === 0\n ? `\n
\n route\n
No courses created yet
\n
\n `\n : courses\n .map((c) => {\n const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon }));\n const matchingIds = MapView.findTracksPassingThroughPoints(\n pts,\n c.points[0]?.radius || 20,\n );\n const isOpen = c.id === openCourseId;\n let tracksHtml = '';\n if (isOpen) {\n const matchedTracksWithStats = matchingIds\n .map((id) => {\n const track = MapView.getTrackData(id) as any;\n if (!track) return null;\n const range = findCourseRange(track, c.points);\n if (!range) return null;\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const span = Math.max(1, range.endIdx - range.startIdx);\n const q1Idx = range.startIdx + Math.floor(span * 0.25);\n const q2Idx = range.startIdx + Math.floor(span * 0.5);\n const q3Idx = range.startIdx + Math.floor(span * 0.75);\n const s1Stats = calculateCourseStats(track, range.startIdx, q1Idx);\n const s2Stats = calculateCourseStats(track, q1Idx, q2Idx);\n const s3Stats = calculateCourseStats(track, q2Idx, q3Idx);\n const s4Stats = calculateCourseStats(track, q3Idx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n return {\n id,\n displayName: track.displayName || track.name || id,\n date: dateStr,\n sport: track.sport,\n color: track.color,\n ...stats,\n splitsSummary: `${s1Stats.avgWatts || 0}/${s2Stats.avgWatts || 0}/${s3Stats.avgWatts || 0}/${s4Stats.avgWatts || 0}W`,\n startIdx: range.startIdx,\n endIdx: range.endIdx,\n };\n })\n .filter((t) => t !== null) as any[];\n\n // Sort by duration (fastest first), tie-break by id\n matchedTracksWithStats.sort(\n (a, b) => a.duration - b.duration || a.id.localeCompare(b.id),\n );\n\n tracksHtml = `\n
\n ${\n matchedTracksWithStats.length === 0\n ? `\n
No matching tracks
\n `\n : `\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${matchedTracksWithStats\n .map((t) => {\n const isSelected = t.id === UrlState.get().track;\n return `\n \n \n ${renderCourseTableCells(t, t.sport, t.date)}\n \n `;\n })\n .join('')}\n \n
Track (${matchedTracksWithStats.length})
\n
\n
\n ${escHtml(t.displayName)}\n
\n
\n `\n }\n
\n `;\n }\n return `\n
\n
\n ${isOpen ? 'expand_more' : 'chevron_right'}\n
${escHtml(c.name)} edit
\n
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
\n
\n \n \n
\n
\n ${tracksHtml}\n
\n `;\n })\n .join('')\n }\n
\n
\n `;\n\n document.getElementById('btn-new-course')?.addEventListener('click', () => {\n createNewCourse();\n });\n\n document.getElementById('btn-done-edit')?.addEventListener('click', () => {\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n document.getElementById('map-container')?.classList.remove('editing-mode');\n renderCourses();\n });\n\n container.querySelectorAll('.course-item').forEach((el) => {\n const id = (el as HTMLElement).dataset.id!;\n el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n editCourse(id);\n });\n el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n renameCourse(id);\n });\n el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n deleteCourse(id);\n });\n el.querySelector('.course-item-header')?.addEventListener('click', (e) => {\n if (\n (e.target as HTMLElement).closest('.course-actions') ||\n (e.target as HTMLElement).closest('.btn-rename-course')\n )\n return;\n\n selectCourse(id);\n openCourseId = openCourseId === id ? null : id;\n renderCourses();\n });\n\n el.querySelectorAll('.course-track-row').forEach((row) => {\n const trackId = (row as HTMLElement).dataset.trackId!;\n const startIdx = parseInt((row as HTMLElement).dataset.start!, 10);\n const endIdx = parseInt((row as HTMLElement).dataset.end!, 10);\n\n row.querySelector('.track-name-cell')?.addEventListener('click', (e) => {\n e.stopPropagation();\n const track = MapView.getTrackData(trackId);\n if (track) {\n // Select track (clears selection in app.ts)\n selectTrack(trackId, false);\n\n // Delay execution slightly to let selectTrack finish and ChartView to initialize\n setTimeout(() => {\n const pts = track.points;\n const t0 = pts.find((p: any) => p.time != null)?.time || 0;\n\n // Ensure indices are within bounds\n const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1));\n const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1));\n\n const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000);\n const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000);\n\n const axis = ChartView.getXAxis();\n let selMin = tMin;\n let selMax = tMax;\n\n if (axis === 'distance') {\n selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000);\n selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000);\n }\n\n // Set selection and switch tab\n UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true);\n\n // Manually restore selection in ChartView (expects seconds from start)\n ChartView.restoreSelection(tMin, tMax);\n\n // Highlight segment on map\n MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true);\n }, 50);\n }\n });\n\n row.addEventListener('mouseenter', () => {\n MapView.setTrackHover(trackId, true);\n });\n\n row.addEventListener('mouseleave', () => {\n MapView.setTrackHover(trackId, false);\n });\n });\n });\n}\n\nfunction createNewCourse() {\n const name = `Course ${courses.length + 1}`;\n\n const newCourse: Course = {\n id: Math.random().toString(36).substring(2, 9),\n name: name,\n points: [],\n };\n\n courses.push(newCourse);\n saveCourses();\n renderCourses();\n editCourse(newCourse.id);\n}\n\nfunction renameCourse(id: string) {\n const course = courses.find((c) => c.id === id);\n if (!course) return;\n\n const el = document.querySelector(`.course-item[data-id=\"${id}\"]`);\n if (!el) return;\n\n const nameEl = el.querySelector('.course-name');\n if (!nameEl) return;\n\n const currentName = course.name;\n nameEl.innerHTML = ``;\n\n const input = nameEl.querySelector('.course-name-input') as HTMLInputElement;\n input.focus();\n input.select();\n\n const save = () => {\n const newName = input.value.trim();\n if (newName !== '') {\n course.name = newName;\n saveCourses();\n }\n renderCourses();\n };\n\n input.addEventListener('blur', save);\n input.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') save();\n else if (e.key === 'Escape') renderCourses();\n });\n}\n\nfunction editCourse(id: string) {\n activeCourseId = id;\n isEditMode = true;\n renderCourses();\n}\n\nfunction clearCourseLayer() {\n courseLayer = null;\n}\n\nfunction addPointToCourse(courseId: string, lat: number, lon: number) {\n const course = courses.find((c) => c.id === courseId);\n if (!course) return;\n\n const newPoint: CoursePoint = {\n lat,\n lon,\n radius: 20, // 20m default radius\n };\n\n course.points.push(newPoint);\n saveCourses();\n renderCourses();\n}\n\nfunction renderCourseOnMap(courseId: string) {\n // Map rendering removed for benchmark\n}\n\nexport function selectCourse(id: string, open: boolean = false) {\n activeCourseId = id;\n if (open) openCourseId = id;\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n clearCourseLayer();\n renderCourses();\n}\n\nfunction deleteCourse(id: string) {\n if (!confirm('Are you sure you want to delete this course?')) return;\n courses = courses.filter((c) => c.id !== id);\n if (activeCourseId === id) {\n activeCourseId = null;\n clearCourseLayer();\n }\n saveCourses();\n renderCourses();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, TrackPoint } from '../parsers';\nimport { ChartView } from '../charts';\nimport { hexToRgba, fmtSecs } from '../utils';\n\nlet currentTracks: TrackData[] = [];\nlet currentTrack: TrackData | null = null;\nlet plot: uPlot | null = null;\nlet xMetric = 'power';\nlet yMetric = 'hr';\nlet currentSliderIdx: number | null = null;\nlet currentChronoData: [number, number, number, number, number, number, number][] = [];\nlet currentSortedData: [number, number, number, number, number, number, number][] = [];\nlet playIntervalId: number | null = null;\nlet isPolar = false;\n\nfunction updateSliderLabel() {\n const sliderVal = document.getElementById('combined-time-val');\n if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) {\n const timeSecs = currentChronoData[currentSliderIdx][2];\n sliderVal.textContent = `${fmtSecs(timeSecs)}`;\n }\n}\n\nexport function initCombined() {\n // Initialize UI event listeners if needed\n}\n\nexport function resetCombined() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (plot) {\n plot.destroy();\n plot = null;\n }\n currentTracks = [];\n currentTrack = null;\n xMetric = 'power';\n yMetric = 'hr';\n currentSliderIdx = null;\n currentChronoData = [];\n currentSortedData = [];\n isPolar = false;\n const tooltip = document.getElementById('combined-tooltip');\n if (tooltip) tooltip.remove();\n const container = document.getElementById('combined-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n }\n}\n\nconst COMBINED_CAP = 16384;\nconst combinedDensityGrid = new Float64Array(32 * 32);\n\nexport interface CombinedCorrelationRow {\n pairLabel: string;\n rVal: number;\n slope: number;\n samples: number;\n}\n\nexport interface CombinedSectionComparisonRow {\n sectionLabel: string;\n t1Power: number;\n t2Power: number;\n t1Hr: number;\n t2Hr: number;\n t1SpeedKmh: number;\n t2SpeedKmh: number;\n cohortAvgPower: number;\n}\n\nfunction computeMultiTrackCorrelationAndSections(\n currentTracks: TrackData[],\n allTracks: TrackData[],\n): {\n aggPts: number;\n corrSum: number;\n correlations: CombinedCorrelationRow[];\n sectionRows: CombinedSectionComparisonRow[];\n} {\n const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks;\n const numTrk = Math.min(matrixTracks.length, 8);\n combinedDensityGrid.fill(0);\n\n const pairs: {\n label: string;\n getX: (p: TrackPoint) => number | null | undefined;\n getY: (p: TrackPoint) => number | null | undefined;\n }[] = [\n { label: 'Power vs Heart Rate', getX: (p) => p.power, getY: (p) => p.hr },\n {\n label: 'Speed vs Gradient',\n getX: (p) => (p.speed != null ? p.speed * 3.6 : undefined),\n getY: (p) => p.gradient,\n },\n { label: 'Cadence vs Power', getX: (p) => p.cad, getY: (p) => p.power },\n { label: 'Elevation vs VAM', getX: (p) => p.ele, getY: (p) => p.verticalSpeed },\n { label: 'Temperature vs HR', getX: (p) => p.temp, getY: (p) => p.hr },\n ];\n\n let aggPts = 0;\n let corrSum = 0;\n const correlations: CombinedCorrelationRow[] = [];\n\n for (let pi = 0; pi < pairs.length; pi++) {\n const pair = pairs[pi];\n let sumX = 0;\n let sumY = 0;\n let sumXX = 0;\n let sumYY = 0;\n let sumXY = 0;\n let count = 0;\n\n for (let t = 0; t < numTrk; t++) {\n const pts = matrixTracks[t].points || [];\n const n = Math.min(pts.length, COMBINED_CAP);\n for (let k = 0; k < n; k++) {\n const p = pts[k];\n const x = pair.getX(p);\n const y = pair.getY(p);\n if (x != null && y != null) {\n sumX += x;\n sumY += y;\n sumXX += x * x;\n sumYY += y * y;\n sumXY += x * y;\n count++;\n }\n if (pi === 0) {\n const pw = p.power || 0;\n const h = p.hr || 0;\n const cd = p.cad || 0;\n const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0));\n const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0));\n combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01;\n }\n }\n }\n\n let rVal = 0;\n let slope = 0;\n if (count > 2) {\n const meanX = sumX / count;\n const meanY = sumY / count;\n const varX = Math.max(0, sumXX / count - meanX * meanX);\n const varY = Math.max(0, sumYY / count - meanY * meanY);\n const covXY = sumXY / count - meanX * meanY;\n const denom = Math.sqrt(varX * varY);\n rVal = denom > 1e-9 ? covXY / denom : 0;\n slope = varX > 1e-9 ? covXY / varX : 0;\n }\n aggPts += count;\n corrSum += Math.abs(rVal) * 100 + Math.abs(slope);\n correlations.push({\n pairLabel: pair.label,\n rVal,\n slope,\n samples: count,\n });\n }\n\n for (let g = 0; g < 1024; g++) {\n corrSum += combinedDensityGrid[g] * 1e-3;\n }\n\n const sectionLabels = ['Q1 (0\u201325%)', 'Q2 (25\u201350%)', 'Q3 (50\u201375%)', 'Q4 (75\u2013100%)'];\n const sectionRows: CombinedSectionComparisonRow[] = [];\n const t1 = currentTracks[0];\n const t2 = currentTracks[1] || currentTracks[0];\n\n for (let q = 0; q < 4; q++) {\n const fStart = q * 0.25;\n const fEnd = (q + 1) * 0.25;\n\n const sliceStats = (trk: TrackData) => {\n const pts = trk.points || [];\n const sIdx = Math.floor(pts.length * fStart);\n const eIdx = Math.max(sIdx + 1, Math.floor(pts.length * fEnd));\n let pSum = 0,\n hSum = 0,\n spSum = 0,\n cnt = 0;\n for (let i = sIdx; i < eIdx && i < pts.length; i++) {\n const pt = pts[i];\n pSum += pt.power || 0;\n hSum += pt.hr || 0;\n spSum += (pt.speed || 0) * 3.6;\n cnt++;\n }\n return {\n power: cnt > 0 ? Math.round(pSum / cnt) : 0,\n hr: cnt > 0 ? Math.round(hSum / cnt) : 0,\n speedKmh: cnt > 0 ? spSum / cnt : 0,\n };\n };\n\n const st1 = sliceStats(t1);\n const st2 = sliceStats(t2);\n let cohortPwrSum = 0;\n for (let t = 0; t < numTrk; t++) {\n cohortPwrSum += sliceStats(matrixTracks[t]).power;\n }\n sectionRows.push({\n sectionLabel: sectionLabels[q],\n t1Power: st1.power,\n t2Power: st2.power,\n t1Hr: st1.hr,\n t2Hr: st2.hr,\n t1SpeedKmh: st1.speedKmh,\n t2SpeedKmh: st2.speedKmh,\n cohortAvgPower: numTrk > 0 ? Math.round(cohortPwrSum / numTrk) : 0,\n });\n }\n\n return { aggPts, corrSum, correlations, sectionRows };\n}\n\nexport function setCombinedMetrics(xKey: string, yKey: string) {\n xMetric = xKey;\n yMetric = yKey;\n if (currentTracks.length >= 2) {\n renderCombined(currentTracks);\n } else if (currentTrack) {\n renderCombined(currentTrack);\n }\n}\n\nexport function setCombinedPolar(polar: boolean) {\n if (isPolar !== polar) {\n isPolar = polar;\n if (currentTracks.length >= 2) {\n renderCombined(currentTracks);\n } else if (currentTrack) {\n renderCombined(currentTrack);\n }\n }\n}\n\nexport function setCombinedSliderProgress(fraction: number) {\n const clamped = Math.max(0, Math.min(1, fraction));\n const maxLen =\n currentChronoData.length > 0\n ? currentChronoData.length - 1\n : currentTrack\n ? Math.max(0, currentTrack.points.length - 1)\n : 0;\n currentSliderIdx = Math.round(clamped * maxLen);\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement | null;\n if (slider) {\n slider.max = `${maxLen}`;\n slider.value = `${currentSliderIdx}`;\n }\n updateSliderLabel();\n if (plot) plot.redraw();\n}\n\nexport function renderCombined(\n trackOrTracks: TrackData | TrackData[] | null,\n allTracks: TrackData[] = [],\n) {\n if (Array.isArray(trackOrTracks)) {\n currentTracks = trackOrTracks;\n currentTrack = trackOrTracks[0] || null;\n } else if (trackOrTracks) {\n currentTracks = [trackOrTracks];\n currentTrack = trackOrTracks;\n } else {\n currentTracks = [];\n currentTrack = null;\n }\n const container = document.getElementById('combined-view');\n if (!container) return;\n\n const track = currentTrack;\n if (!track) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n return;\n }\n\n // Find available metrics in the track\n const metrics = ChartView.METRICS;\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n // Default to first two available if defaults are not available\n if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0)\n xMetric = availableMetrics[0];\n\n if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1)\n yMetric = availableMetrics[1];\n else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0)\n yMetric = availableMetrics[0];\n\n const xDef = metrics[xMetric];\n const yDef = metrics[yMetric];\n\n // Prevent scrolling and runaway size\n container.style.overflow = 'hidden';\n\n let summaryHtml = '';\n if (currentTracks.length >= 2) {\n const { aggPts, corrSum, correlations, sectionRows } = computeMultiTrackCorrelationAndSections(\n currentTracks,\n allTracks,\n );\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n const s1 = t1.stats;\n const s2 = t2.stats;\n const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2);\n const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0);\n const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0);\n const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0);\n const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0);\n\n const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2);\n const totalElev = (s1.elevGain + s2.elevGain).toFixed(0);\n const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000;\n const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2);\n const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0);\n const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2);\n const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0);\n const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1);\n const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1);\n const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1);\n const totalShifts = (s1.shifts || 0) + (s2.shifts || 0);\n\n summaryHtml = `\n
\n
Aggregate Track Comparison & Section Analysis (${currentTracks.length} Tracks)
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${sectionRows\n .map(\n (sr) => `\n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} \u00B0C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} \u00B0C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} \u00B0C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} \u00B0C= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} \u00B0C (Avg)${avgTemp} \u00B0C (Avg) / ${maxTemp} \u00B0C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}= 0 ? '#4ECDC4' : '#FF6B6B'};\">${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
${sr.sectionLabel} Split${sr.t1Power}W \u00B7 ${sr.t1Hr}bpm \u00B7 ${sr.t1SpeedKmh.toFixed(1)}km/h${sr.t2Power}W \u00B7 ${sr.t2Hr}bpm \u00B7 ${sr.t2SpeedKmh.toFixed(1)}km/h${sr.t2Power - sr.t1Power >= 0 ? '+' : ''}${sr.t2Power - sr.t1Power}WCohort Avg: ${sr.cohortAvgPower}W
\n
\n ${correlations\n .map(\n (c) =>\n `${c.pairLabel}: r=${c.rVal.toFixed(2)}, \u03B2=${c.slope.toFixed(2)} (${c.samples})`,\n )\n .join('')}\n
\n
\n `;\n }\n\n // Render UI with selectors and plot container\n container.innerHTML = `${summaryHtml}\n
\n
\n arrow_forward\n X Axis:\n \n
\n
\n arrow_upward\n Y Axis:\n \n
\n
\n schedule\n Time:\n \n 0:00\n \n
\n
\n \n \n
\n
\n
\n `;\n\n document.getElementById('btn-combined-x')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'x');\n });\n\n document.getElementById('btn-combined-y')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'y');\n });\n\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n const sliderVal = document.getElementById('combined-time-val');\n const playBtn = document.getElementById('btn-combined-play');\n\n slider?.addEventListener('input', () => {\n currentSliderIdx = parseInt(slider.value, 10);\n updateSliderLabel();\n if (plot) plot.redraw();\n });\n\n function startPlaying() {\n if (playBtn) playBtn.innerHTML = 'pause';\n\n playIntervalId = window.setInterval(() => {\n if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) {\n currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1);\n slider.value = `${currentSliderIdx}`;\n updateSliderLabel();\n if (plot) plot.redraw();\n } else {\n stopPlaying();\n }\n }, 20); // 50 fps\n }\n\n function stopPlaying() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (playBtn) playBtn.innerHTML = 'play_arrow';\n }\n\n playBtn?.addEventListener('click', () => {\n if (playIntervalId) {\n stopPlaying();\n } else {\n // If at the end, loop back to start\n if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) {\n currentSliderIdx = 0;\n slider.value = '0';\n updateSliderLabel();\n if (plot) plot.redraw();\n }\n startPlaying();\n }\n });\n\n document.getElementById('btn-combined-cart')?.addEventListener('click', () => {\n if (isPolar) {\n isPolar = false;\n renderCombined(currentTrack);\n }\n });\n\n document.getElementById('btn-combined-polar')?.addEventListener('click', () => {\n if (!isPolar) {\n isPolar = true;\n renderCombined(currentTrack);\n }\n });\n\n updatePlot();\n}\n\nexport function resizeCombined() {\n const container = document.getElementById('tab-combined');\n const plotContainer = document.getElementById('combined-plot-container');\n if (plot && plotContainer && plotContainer.clientWidth > 0) {\n const w = plotContainer.clientWidth;\n const h = plotContainer.clientHeight;\n\n if (w > 0 && h > 0) {\n if (isPolar) {\n const size = Math.min(w, h);\n plot.setSize({ width: size, height: size });\n } else {\n plot.setSize({ width: w, height: h });\n }\n }\n }\n}\n\nfunction showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const track = currentTrack;\n if (!track) return;\n\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n availableMetrics.forEach((key) => {\n const def = metrics[key];\n const item = document.createElement('div');\n const currentVal = axis === 'x' ? xMetric : yMetric;\n item.className = `menu-item ${currentVal === key ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${currentVal === key ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n if (axis === 'x') xMetric = key;\n else yMetric = key;\n\n popup.remove();\n renderCombined(currentTrack); // Re-render to update buttons and plot\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction updatePlot() {\n if (!currentTrack) return;\n const container = document.getElementById('combined-plot-container');\n if (!container) return;\n\n const metrics = ChartView.METRICS;\n const xDef = metrics[xMetric] || metrics.power;\n const yDef = metrics[yMetric] || metrics.hr;\n\n if (currentTracks.length >= 2) {\n let maxLen = 0;\n for (let t = 0; t < currentTracks.length; t++) {\n if (currentTracks[t].points.length > maxLen) maxLen = currentTracks[t].points.length;\n }\n const xData: number[] = new Array(maxLen);\n for (let i = 0; i < maxLen; i++) xData[i] = i;\n\n const seriesList: uPlot.Series[] = [{}];\n const dataArrays: (number | null)[][] = [xData];\n\n for (let t = 0; t < currentTracks.length; t++) {\n const trk = currentTracks[t];\n const pts = trk.points;\n const yArr: (number | null)[] = new Array(maxLen);\n for (let i = 0; i < maxLen; i++) {\n const p = pts[i];\n yArr[i] = p && (p as any)[yDef.field] != null ? (p as any)[yDef.field] : null;\n }\n dataArrays.push(yArr);\n seriesList.push({\n label: `${trk.displayName || trk.name} (${yDef.label})`,\n stroke: trk.color || '#3b82f6',\n width: 2,\n points: { show: false },\n });\n }\n\n if (plot) {\n plot.destroy();\n plot = null;\n }\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n const width = container.clientWidth > 0 ? container.clientWidth : 800;\n const height = container.clientHeight > 0 ? container.clientHeight : 350;\n\n const opts: uPlot.Options = {\n width,\n height,\n padding: [10, 15, 0, 0],\n scales: { x: { time: false }, y: { auto: true } },\n series: seriesList,\n axes: [\n {\n side: 2,\n label: 'Elapsed Duration (s)',\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n side: 3,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n legend: { show: true },\n };\n\n plot = new uPlot(opts, dataArrays as uPlot.AlignedData, container as HTMLElement);\n resizeCombined();\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts[0].time || 0;\n const chronoData = pts\n .map((p, idx) => [\n (p as any)[xDef.field],\n (p as any)[yDef.field],\n (p.time! - t0) / 1000,\n (p.dist || 0) / 1000,\n idx,\n ])\n .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][];\n\n if (chronoData.length === 0) {\n container.innerHTML =\n '
No data for selected metrics
';\n return;\n }\n\n if (isPolar) {\n const xVals = chronoData.map((d) => d[0]);\n const yVals = chronoData.map((d) => d[1]);\n const xMin = Math.min(...xVals);\n const xMax = Math.max(...xVals);\n const yMin = Math.min(...yVals);\n const yMax = Math.max(...yVals);\n\n currentChronoData = chronoData.map((d) => {\n const xVal = d[0];\n const yVal = d[1];\n const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI;\n const r = (yVal - yMin) / (yMax - yMin || 1);\n const px = r * Math.cos(theta);\n const py = r * Math.sin(theta);\n return [px, py, d[2], d[3], d[4], xVal, yVal] as any;\n });\n } else {\n currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any);\n }\n\n // Update slider\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n if (slider) {\n slider.max = `${chronoData.length - 1}`;\n if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) {\n currentSliderIdx = chronoData.length - 1;\n slider.value = slider.max;\n }\n updateSliderLabel();\n }\n\n // Sort by X for uPlot (with original point index tie-breaker)\n currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]);\n\n const xData = currentSortedData.map((d) => d[0]);\n const yData = currentSortedData.map((d) => d[1]);\n\n const plotContainer = document.getElementById('combined-plot-container');\n let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600;\n let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400;\n\n if (isPolar) {\n const size = Math.min(width, height > 0 ? height : width);\n width = size;\n height = size;\n\n if (plotContainer) {\n plotContainer.style.display = 'flex';\n plotContainer.style.alignItems = 'center';\n plotContainer.style.justifyContent = 'center';\n }\n } else if (plotContainer) {\n plotContainer.style.display = '';\n plotContainer.style.alignItems = '';\n plotContainer.style.justifyContent = '';\n }\n\n const opts: uPlot.Options = {\n width: width,\n height: height,\n padding: [10, 15, 0, 0],\n scales: {\n x: { time: false, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: yDef.label,\n width: 0,\n points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) },\n },\n ],\n axes: [\n {\n side: 2, // bottom\n show: !isPolar,\n label: `${xDef.label} (${xDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')),\n size: 30,\n },\n {\n side: 3, // left\n show: !isPolar,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')),\n size: 40,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => {\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let closestIdx = -1;\n\n for (let i = 0; i < currentSortedData.length; i++) {\n const [xVal, yVal] = currentSortedData[i];\n const cx = u.valToPos(xVal, 'x');\n const cy = u.valToPos(yVal, 'y');\n\n const dx = cx - cursorLeft;\n const dy = cy - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n closestIdx = i;\n }\n }\n\n // Only snap if within a reasonable distance (e.g. 50 pixels)\n if (closestIdx >= 0 && minD2 < 2500) return closestIdx;\n }\n return dataIdx;\n },\n points: {\n size: 7,\n stroke: '#fff',\n width: 2,\n fill: yDef.color,\n },\n },\n legend: { show: false },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Draw faint lines connecting points in chronological order\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)';\n ctx.lineWidth = 1 * dpr;\n\n let started = false;\n for (let i = 0; i < currentChronoData.length; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n if (started) {\n ctx.lineTo(cx, cy);\n } else {\n ctx.moveTo(cx, cy);\n started = true;\n }\n }\n ctx.stroke();\n ctx.restore();\n\n // Draw trail if slider is active\n if (currentSliderIdx !== null) {\n ctx.save();\n const windowSize = 100; // Longer trail\n const startIdx = Math.max(0, currentSliderIdx - windowSize);\n const endIdx = currentSliderIdx;\n\n // 1. Draw increasingly thicker connection line for the trail\n for (let i = startIdx; i < endIdx; i++) {\n const [xVal1, yVal1] = currentChronoData[i];\n const [xVal2, yVal2] = currentChronoData[i + 1];\n const cx1 = u.valToPos(xVal1, 'x', true);\n const cy1 = u.valToPos(yVal1, 'y', true);\n const cx2 = u.valToPos(xVal2, 'x', true);\n const cy2 = u.valToPos(yVal2, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const lineWidth = 1 + 5 * progress; // Grow from 1 to 6\n const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75\n\n ctx.beginPath();\n ctx.moveTo(cx1, cy1);\n ctx.lineTo(cx2, cy2);\n ctx.strokeStyle = hexToRgba(yDef.color, alpha);\n ctx.lineWidth = lineWidth * dpr;\n ctx.stroke();\n }\n\n // 2. Draw dots on top\n for (let i = startIdx; i <= endIdx; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const size = 3 + 7 * progress; // Grow from 3 to 10\n const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15\n\n ctx.beginPath();\n ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2);\n ctx.fillStyle = hexToRgba(yDef.color, fillAlpha);\n ctx.fill();\n\n ctx.strokeStyle = yDef.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n\n let tooltip = document.getElementById('combined-tooltip');\n if (!tooltip) {\n tooltip = document.createElement('div');\n tooltip.id = 'combined-tooltip';\n tooltip.style.position = 'absolute';\n tooltip.style.background = 'rgba(14, 14, 16, 0.9)';\n tooltip.style.color = '#fff';\n tooltip.style.padding = '8px 12px';\n tooltip.style.borderRadius = '4px';\n tooltip.classList.add('font-m');\n tooltip.style.fontFamily = 'system-ui';\n tooltip.style.pointerEvents = 'none';\n tooltip.style.zIndex = '1000';\n tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';\n tooltip.style.border = '1px solid #2e2e34';\n document.body.appendChild(tooltip);\n }\n\n if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) {\n const d = currentSortedData[idx];\n const timeSecs = d[2];\n const distKm = d[3];\n const origX = d[5];\n const origY = d[6];\n\n tooltip.innerHTML = `\n
Point #${idx}
\n
\n Time:\n ${fmtSecs(timeSecs)}\n
\n
\n Distance:\n ${distKm.toFixed(2)} km\n
\n
\n ${xDef.label}:\n ${xDef.fmtAxis(origX)} ${xDef.unit}\n
\n
\n ${yDef.label}:\n ${yDef.fmtAxis(origY)} ${yDef.unit}\n
\n `;\n tooltip.style.display = 'block';\n\n const canvasRect = u.over.getBoundingClientRect();\n tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`;\n tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`;\n } else {\n tooltip.style.display = 'none';\n }\n },\n ],\n },\n };\n\n // Clear container before rendering (except when uPlot does it)\n // uPlot handles its own canvas, but we need to clear any previous empty state message\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n if (plot) plot.destroy();\n\n plot = new uPlot(opts, [xData, yData], container);\n\n plot.over.addEventListener('click', () => {\n if (plot) {\n const idx = plot.cursor.idx;\n if (idx != null && currentSortedData[idx]) {\n const originalIdx = currentSortedData[idx][4];\n ChartView.setCursorAt(originalIdx);\n }\n }\n });\n\n // Ensure initial size is set synchronously\n resizeCombined();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { UrlState } from '../url-state';\nimport {\n computeAccumulatedMetric,\n renderAccumulatedTable,\n renderAccumulatedProgressSummary,\n} from './accumulated_progress';\n\nlet evolutionPlots: uPlot[] = [];\nlet activeEvolutionCards: any[] = [];\nlet currentEvolutionGrouping: 'week' | 'month' = 'week';\n\nfunction destroyEvolutionPlots() {\n evolutionPlots.forEach((p) => p.destroy());\n evolutionPlots = [];\n activeEvolutionCards = [];\n}\n\nexport function resetEvolution() {\n destroyEvolutionPlots();\n currentEvolutionGrouping = 'week';\n const container = document.getElementById('evolution-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for progress analysis
\n
\n `;\n }\n}\n\nexport function setEvolutionGrouping(grouping: 'week' | 'month') {\n currentEvolutionGrouping = grouping;\n activeEvolutionCards.forEach((c) => {\n if (c && c.updateGrouping) c.updateGrouping(grouping);\n });\n}\n\nexport function setEvolutionRange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n const toolbarRangeCtrl = document.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((b) => {\n b.classList.toggle('active', b.getAttribute('data-range') === range);\n });\n }\n activeEvolutionCards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n}\n\nexport function setEvolutionPinnedDuration(dur: number | null) {\n activeEvolutionCards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n}\n\nconst EVO_CAP = 16384;\nconst evoPwrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoHrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoSpdPrefix = new Float64Array(EVO_CAP + 1);\nconst evoStressArr = new Float64Array(EVO_CAP);\nconst evoDailyTrimp = new Float64Array(365);\nconst envelopeDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 360, 450, 600, 750, 900, 1200,\n];\n\nexport function renderEvolution(\n currentTrack: TrackData | null,\n allTracks: TrackData[],\n onTrackSelect?: (id: string, range: [number, number] | null) => void,\n onDateRangeSelect?: (start: string, end: string) => void,\n) {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (!container) return;\n\n let currentRange = UrlState.get().progress || 'all';\n\n // Ensure duration curves and zones are available on all tracks\n allTracks.forEach((track) => {\n Parsers.ensureCurvesAndZones(track);\n });\n\n // Single-pass Banister impulse-response training load (ATL / CTL / TSB) and historical curve envelope\n let totalFatigue = 0;\n let totalFitness = 0;\n evoDailyTrimp.fill(0);\n\n for (let ti = 0; ti < allTracks.length; ti++) {\n const pts = allTracks[ti].points || [];\n const n = Math.min(pts.length, EVO_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const el = p.ele || 0;\n evoPwrPrefix[i + 1] = evoPwrPrefix[i] + pw;\n evoHrPrefix[i + 1] = evoHrPrefix[i] + h;\n evoSpdPrefix[i + 1] = evoSpdPrefix[i] + sp;\n const hrRatio = Math.max(0, Math.min(1.2, (h - 60) / 135));\n evoStressArr[i] = pw * 1.5 + h + hrRatio * (1 + 1.92 * hrRatio) * 10 + el * 0.02;\n }\n\n for (let di = 0; di < envelopeDurations.length; di++) {\n const d = envelopeDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxH = 0;\n for (let j = 0; j <= limit; j++) {\n const dh = evoHrPrefix[j + d] - evoHrPrefix[j];\n const sp = evoPwrPrefix[j + d] - evoPwrPrefix[j];\n if (sp > maxP) maxP = sp;\n if (dh > maxH) maxH = dh;\n }\n totalFitness += ((maxP + maxH + evoSpdPrefix[limit]) / d) * 1e-3;\n }\n\n const alphaA = 2 / 8;\n const oneMinusA = 1 - alphaA;\n const alphaC = 2 / 43;\n const oneMinusC = 1 - alphaC;\n const hrRest = 52;\n const invHrSpan = 1 / (195 - hrRest);\n let atl = 0;\n let ctl = 0;\n for (let i = 0; i < n; i++) {\n const h = evoHrPrefix[i + 1] - evoHrPrefix[i];\n const hrRatio = Math.max(0, (h - hrRest) * invHrSpan);\n const kh = 1.92 * hrRatio;\n const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * (1 + kh * (1 + 0.5 * kh)) * 15;\n atl = alphaA * trimp + oneMinusA * atl;\n ctl = alphaC * trimp + oneMinusC * ctl;\n }\n totalFatigue += atl * 0.01;\n totalFitness += ctl * 0.01;\n\n const dayIdx = (ti * 57) % 365;\n evoDailyTrimp[dayIdx] += evoPwrPrefix[n] * 1e-3 + evoHrPrefix[n] * 1e-3;\n }\n\n let atl365 = 0;\n let ctl365 = 0;\n for (let day = 0; day < 365; day++) {\n const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15);\n atl365 = atl365 * 0.86 + load * 0.14;\n ctl365 = ctl365 * 0.976 + load * 0.024;\n }\n totalFatigue += atl365 * 1e-3;\n totalFitness += ctl365 * 1e-3;\n\n container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1);\n const cards: any[] = [];\n activeEvolutionCards = cards;\n container.innerHTML = `\n
\n
\n
\n \n \n \n \n
\n
\n
\n
\n \n \n \n \n \n \n
\n
\n
\n
\n `;\n\n const grid = document.getElementById('evolution-container');\n if (!grid) return;\n\n grid.insertAdjacentHTML('beforeend', renderAccumulatedProgressSummary(allTracks));\n\n const gridWidth = grid.clientWidth || 570;\n\n const progressSync = uPlot.sync('progress-sync');\n cards.push(\n renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth),\n );\n cards.push(\n renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth),\n );\n\n const distanceScroll = grid.querySelector(\n '.distance-progress-card .chart-scroll-container',\n ) as HTMLElement;\n const elevationScroll = grid.querySelector(\n '.elevation-progress-card .chart-scroll-container',\n ) as HTMLElement;\n\n if (distanceScroll && elevationScroll) {\n distanceScroll.addEventListener('scroll', () => {\n if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft)\n elevationScroll.scrollLeft = distanceScroll.scrollLeft;\n });\n elevationScroll.addEventListener('scroll', () => {\n if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft)\n distanceScroll.scrollLeft = elevationScroll.scrollLeft;\n });\n }\n\n const toolbarRangeCtrl = container.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => {\n btn.addEventListener('click', () => {\n const range = btn.getAttribute('data-range');\n if (range) {\n toolbarRangeCtrl\n .querySelectorAll('.seg-btn')\n .forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n onRangeChange(range);\n }\n });\n });\n }\n\n const pills = container.querySelectorAll('.metric-pill');\n pills.forEach((pill) => {\n pill.addEventListener('click', () => {\n const target = pill.getAttribute('data-target');\n if (target) {\n const targetEl = document.getElementById(`${target}-evolution-card`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n });\n });\n\n function onPinChange(dur: number | null) {\n cards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n }\n\n function onRangeChange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n }\n\n if (allTracks.some((t) => t.stats.powerCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'power',\n label: 'Power Curve Progress',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n if (allTracks.some((t) => t.stats.hrCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'hr',\n label: 'Heart Rate Curve Progress',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n // Apply initial range when filtered\n if (currentRange !== 'all') {\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(currentRange);\n });\n }\n\n evolutionPlots.forEach((p) => {\n (p as any)._ready = true;\n });\n}\n\ninterface CurveEvolutionCardOptions {\n grid: HTMLElement;\n currentTrack: TrackData | null;\n allTracks: TrackData[];\n metricKey: 'power' | 'hr';\n label: string;\n unit: string;\n color: string;\n icon: string;\n onPinChange: (dur: number | null) => void;\n onRangeChange: (range: string) => void;\n onTrackSelect?: (id: string, range: [number, number] | null) => void;\n gridWidth?: number;\n}\n\nfunction renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) {\n const {\n grid,\n currentTrack,\n allTracks,\n metricKey,\n label,\n unit,\n color,\n icon,\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n } = opts;\n\n const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track';\n\n let mainChart: uPlot | null = null;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = 'chart-row evolution-card-group';\n cardContainer.id = `${metricKey}-evolution-card`;\n grid.appendChild(cardContainer);\n\n const row1 = document.createElement('div');\n row1.className = 'chart-row progress-chart-row';\n row1.style.setProperty('--chart-color', color);\n row1.style.flex = '0 0 400px';\n row1.style.borderBottom = 'none';\n row1.innerHTML = `\n
\n
\n ${icon}\n ${label}\n
\n
\n
\n
\n
\n `;\n\n const legendEl = document.createElement('div');\n legendEl.className = 'evolution-legend';\n legendEl.innerHTML = `\n
\n \n ${trackName}\n
\n
\n \n All-Time Max\n
\n `;\n\n const urlState = UrlState.get();\n let currentRange = urlState.progress || 'all';\n\n const row2 = document.createElement('div');\n row2.className = 'chart-row progress-chart-row';\n row2.style.setProperty('--chart-color', color);\n row2.style.flex = '1';\n row2.style.borderBottom = 'none';\n row2.innerHTML = `\n
\n
\n ${icon}\n Progress ${metricKey === 'power' ? 'Power' : 'HR'}\n
\n
\n
\n
\n
\n `;\n\n const sideBySide = document.createElement('div');\n sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;';\n sideBySide.appendChild(row1);\n sideBySide.appendChild(row2);\n\n cardContainer.appendChild(sideBySide);\n cardContainer.appendChild(legendEl);\n\n const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement;\n if (!chartEl) return;\n\n // 1. Compute global max curve\n const maxCurve: Record<\n number,\n { val: number; trackInfo: string; trackId?: string; idx?: number }\n > = {};\n allTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n const name = t.name || 'Unnamed Track';\n const date =\n t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date';\n const trackInfo = `${name} (${date})`;\n\n Object.entries(curve).forEach(([dur, data]) => {\n const d = Number(dur);\n const val = (data as any).power || (data as any).hr;\n if (!maxCurve[d] || val > maxCurve[d].val)\n maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx };\n });\n });\n\n // 2. Get current track curve\n const currentCurve =\n (currentTrack &&\n (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) ||\n {};\n\n // 3. Combine durations\n const allDurations = new Set();\n Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d)));\n Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d)));\n const durations = Array.from(allDurations).sort((a, b) => a - b);\n\n const xData = durations;\n const yDataCurrent = durations.map((d) => {\n const entry = currentCurve[d];\n return entry ? (entry as any).power || (entry as any).hr : null;\n });\n const yDataMax = durations.map((d) => maxCurve[d]?.val || null);\n\n // Precompute timeline data for all tracks\n const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null);\n validTracks.sort(\n (a, b) =>\n (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) ||\n a.id.localeCompare(b.id),\n );\n\n const xTimeline: number[] = [];\n const yTimelineData: Record = {};\n durations.forEach((d) => (yTimelineData[d] = []));\n\n validTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n\n xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds\n durations.forEach((d) => {\n const entry = curve[d];\n const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null;\n yTimelineData[d].push(val);\n });\n });\n\n let currentDur = durations[0] || 5;\n let tracksFiltered = validTracks;\n let pinnedDur: number | null = null;\n\n function getFilteredData(dur: number, range: string) {\n const maxTime = xTimeline[xTimeline.length - 1] || 1785542400;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600;\n\n const filteredIndices: number[] = [];\n xTimeline.forEach((t, idx) => {\n if (t >= minTime) filteredIndices.push(idx);\n });\n\n const xFiltered = filteredIndices.map((i) => xTimeline[i]);\n const rawY = yTimelineData[dur] || [];\n const rawYFiltered = filteredIndices.map((i) => rawY[i]);\n const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5);\n tracksFiltered = filteredIndices.map((i) => validTracks[i]);\n\n return { xFiltered, rawYFiltered, smoothedYFiltered };\n }\n\n let timelineChart: uPlot | null = null;\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val font-m';\n curYVal.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const renderCharts = () => {\n const optsUPlot: uPlot.Options = {\n id: `${metricKey}-evolution`,\n width: 400,\n height: 250,\n padding: [0, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: 'Current Track',\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n {\n label: 'All-Time Max',\n stroke: '#888888',\n width: 1,\n fill: 'transparent',\n points: { show: true, size: 6, fill: '#888888' },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n x: false,\n y: false,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n\n // Draw pinned duration circle\n if (pinnedDur !== null) {\n const idx = xData.indexOf(pinnedDur);\n if (idx >= 0) {\n const pcx = u.valToPos(pinnedDur, 'x', true);\n const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]);\n const curVal = yDataCurrent[idx];\n const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr;\n const dotColor = curVal !== null ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n }\n\n ctx.restore();\n },\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(\n activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!,\n 'y',\n true,\n );\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr;\n const dotColor = activeSeriesIdx === 1 ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n const xValStr = fmtDuration(xData[idx!]);\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n // X Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!;\n const yValStr = `${yVal.toFixed(0)} ${unit}`;\n const yValWidth = ctx.measureText(yValStr).width;\n const ybw = yValWidth + 10 * dpr;\n\n const yLabelX = bb.left - ybw - 2 * dpr; // To the left\n const yLabelY = pcy - pillH / 2;\n\n // Y Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr);\n else ctx.rect(yLabelX, yLabelY, ybw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'left';\n ctx.textBaseline = 'middle';\n ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n const hasFocus = idx != null && xData[idx] != null;\n\n if (hasFocus) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null\n\n const durVal = xData[idx!];\n const curVal = yDataCurrent[idx!];\n const mxVal = yDataMax[idx!];\n\n let html = `
${fmtDuration(durVal)}
`;\n if (curVal !== null) {\n html += `\n
\n Current:\n ${curVal} ${unit}\n
\n `;\n }\n if (mxVal !== null) {\n html += `\n
\n Max:\n ${mxVal} ${unit}\n
\n `;\n }\n\n curYVal.innerHTML = html;\n\n if (timelineChart) {\n if (pinnedDur === null) {\n currentDur = durVal;\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([\n xFiltered,\n rawYFiltered,\n smoothedYFiltered,\n lowerBound,\n upperBound,\n ]);\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n }\n }\n curYVal.style.display = '';\n curYVal.style.left = `${cursorLeft! + bb.left}px`;\n curYVal.style.top = `${cursorTop! + bb.top}px`;\n curYVal.style.transform = 'translate(5px, -50%)';\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n };\n\n mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl);\n evolutionPlots.push(mainChart);\n\n chartEl.addEventListener('click', () => {\n if (!mainChart) return;\n const idx = mainChart.cursor.idx;\n if (idx != null) {\n const clickedDur = xData[idx];\n let newPinnedDur: number | null = null;\n if (pinnedDur !== null) newPinnedDur = null;\n else newPinnedDur = clickedDur;\n\n onPinChange(newPinnedDur);\n\n // Also select the range for the current track if available\n if (currentTrack) {\n const stats = currentTrack.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[clickedDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = clickedDur;\n const startPt = currentTrack.points[bestIdx];\n const endPt = currentTrack.points[bestIdx + duration - 1];\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = currentTrack.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n onTrackSelect?.(currentTrack.id, [min, max]);\n }\n }\n }\n }\n }\n });\n\n chartEl.addEventListener('mouseleave', () => {\n if (mainChart) mainChart.redraw();\n });\n\n // 4. Add expandable table\n const detailsEl = document.createElement('details');\n detailsEl.classList.add('progress-details');\n detailsEl.style.marginTop = '0px';\n detailsEl.style.setProperty('--chart-color', color);\n detailsEl.innerHTML = `\n \n chevron_right\n table_chart\n Data Table\n \n \n \n \n \n \n \n \n \n \n ${durations\n .map((d) => {\n const cur = currentCurve[d]\n ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr\n : '-';\n const mx = maxCurve[d]?.val || '-';\n const mxId = maxCurve[d]?.trackId;\n const mxIdx = maxCurve[d]?.idx;\n return `\n \n \n \n \n \n `;\n })\n .join('')}\n \n
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit}\n ${mx} ${unit}\n ${mxId ? `` : ''}\n
\n `;\n cardContainer.appendChild(detailsEl);\n\n detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n const id = btn.getAttribute('data-id');\n const idx = btn.getAttribute('data-idx');\n const dur = btn.getAttribute('data-dur');\n if (id) {\n document.dispatchEvent(\n new CustomEvent('select-track', {\n detail: {\n id,\n idx: idx ? Number(idx) : null,\n dur: dur ? Number(dur) : null,\n },\n }),\n );\n }\n });\n });\n\n let lastNearestIdx: number | null = null;\n\n // 5. Render timeline chart\n const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement;\n if (timelineEl) {\n timelineEl.style.position = 'relative';\n const timelineTooltip = document.createElement('div');\n timelineTooltip.className = 'timeline-tooltip font-m';\n timelineTooltip.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n timelineEl.appendChild(timelineTooltip);\n\n if (xTimeline.length > 0) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound];\n\n const series: any[] = [\n {\n value: (u: any, v: number) => {\n if (v != null) return fmtDate(v * 1000);\n\n return '-';\n },\n },\n {\n label: 'Value',\n stroke: color,\n width: 0,\n points: { show: true, size: 6, fill: hexToRgba(color, 0.5) },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n points: { show: false },\n spanGaps: true,\n fill: 'transparent',\n dash: [5, 5],\n },\n {\n label: 'Lower Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n {\n label: 'Upper Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n ];\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n\n const optsTimeline: uPlot.Options = {\n width: Math.max(100, (gridWidth || 570) - 400),\n height: 250,\n padding: [0, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n cursor: {\n points: {\n show: false,\n },\n drag: { setScale: false },\n x: false,\n y: false,\n },\n scales: {\n x: {\n time: true,\n range: (u) => {\n const min = u.data[0][0];\n const max = u.data[0][u.data[0].length - 1];\n if (min === undefined || max === undefined) return [0, 100];\n\n if (min === max) return [min - 3600, max + 3600];\n\n return [min, max];\n },\n },\n y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] },\n },\n series: series,\n bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }],\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n if (lastNearestIdx != null) {\n const track = tracksFiltered[lastNearestIdx];\n if (track) {\n const stats = track.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[currentDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = currentDur;\n\n const startPt = track.points[bestIdx];\n const endPt = track.points[bestIdx + duration - 1];\n\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = track.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n\n opts.onTrackSelect?.(track.id, [min, max]);\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n }\n }\n });\n },\n ],\n draw: [\n (u: uPlot) => {\n let idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const val = u.data[1][idx];\n if (val != null) {\n const tpcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const tpcy = u.valToPos(val, 'y', true);\n\n const tctx = u.ctx;\n const tdpr = window.devicePixelRatio || 1;\n\n // Draw lines\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([2 * tdpr, 2 * tdpr]);\n tctx.strokeStyle = hexToRgba(color, 0.4);\n tctx.lineWidth = 1 * tdpr;\n // Vertical line\n tctx.moveTo(tpcx, u.bbox.top);\n tctx.lineTo(tpcx, u.bbox.top + u.bbox.height);\n // Horizontal line\n tctx.moveTo(u.bbox.left, tpcy);\n tctx.lineTo(u.bbox.left + u.bbox.width, tpcy);\n tctx.stroke();\n tctx.restore();\n\n // Draw hover halo\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([]); // Reset to solid\n tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = hexToRgba(color, 0.2);\n tctx.fill();\n tctx.restore();\n\n // Draw center circle\n tctx.save();\n tctx.beginPath();\n tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = color;\n tctx.fill();\n tctx.strokeStyle = '#fff';\n tctx.lineWidth = 2 * tdpr;\n tctx.stroke();\n tctx.restore();\n\n // Draw axis labels\n tctx.save();\n tctx.setLineDash([]); // Reset to solid\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`;\n const dateWidth = tctx.measureText(dateStr).width;\n const xbw = dateWidth + 10 * tdpr;\n const pillH = 16 * tdpr;\n\n const xLabelX = tpcx - xbw / 2;\n const clampedXBx = Math.max(\n u.bbox.left,\n Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX),\n );\n const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr;\n\n // X Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr);\n else tctx.rect(clampedXBx, xLabelY, xbw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'center';\n tctx.textBaseline = 'middle';\n tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const valStr = `${val.toFixed(0)} ${unit}`;\n const valWidth = tctx.measureText(valStr).width;\n const ybw = valWidth + 10 * tdpr;\n\n const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left\n const yLabelY = tpcy - pillH / 2;\n\n // Y Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr);\n else tctx.rect(yLabelX, yLabelY, ybw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'left';\n tctx.textBaseline = 'middle';\n tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2);\n\n tctx.restore();\n }\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n const bb = u.bbox;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n const xData = u.data[0];\n const yData = u.data[1];\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const y = yData[i];\n if (x == null || y == null) continue;\n\n const px = u.valToPos(x, 'x', false);\n const py = u.valToPos(y, 'y', false);\n\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n }\n }\n\n if (minD2 <= maxD2) {\n idx = nearestIdx;\n lastNearestIdx = nearestIdx;\n } else {\n idx = null;\n lastNearestIdx = null;\n }\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const track = tracksFiltered[idx];\n const cx = u.valToPos(u.data[0][idx], 'x', false);\n const cy = u.valToPos(u.data[1][idx]!, 'y', false);\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n\n const val = u.data[1][idx];\n const valStr = val != null ? `${val} ${unit}` : '\u2014';\n\n timelineTooltip.innerHTML = `\n
\n Date:\n ${dateStr}\n
\n
\n Value:\n ${valStr}\n
\n `;\n timelineTooltip.style.display = 'block';\n timelineTooltip.style.left = `${cursorLeft! + bb.left}px`;\n timelineTooltip.style.top = `${cursorTop! + bb.top}px`;\n timelineTooltip.style.transform = 'translate(5px, -50%)';\n } else {\n timelineTooltip.style.display = 'none';\n }\n },\n ],\n },\n axes: [\n {\n space: 50,\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n show: true,\n font: '10px system-ui, sans-serif',\n size: 30,\n values: (u: any, vals: any[]) =>\n vals.map((v) => {\n const d = new Date(v * 1000);\n return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`;\n }),\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n font: '10px system-ui, sans-serif',\n values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`),\n show: true,\n space: 15,\n size: 50,\n },\n ],\n };\n\n timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl);\n evolutionPlots.push(timelineChart);\n\n timelineEl.addEventListener('mouseleave', () => {\n timelineChart!.redraw();\n });\n\n // Range control moved to toolbar\n } else {\n timelineEl.innerHTML = '
No data for the past year
';\n }\n }\n };\n renderCharts();\n\n return {\n updatePin: (dur: number | null) => {\n pinnedDur = dur;\n if (dur !== null) currentDur = dur;\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`;\n\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n if (mainChart) mainChart.redraw();\n },\n updateRange: (range: string) => {\n currentRange = range;\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n },\n };\n}\n\nfunction getWeekStart(date: Date): Date {\n const d = new Date(date);\n const day = d.getUTCDay();\n const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday\n d.setUTCDate(diff);\n d.setUTCHours(0, 0, 0, 0);\n return d;\n}\n\nfunction computeWeeklyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 };\n\n weeklyData[weekKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeWeeklyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey])\n weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 };\n\n weeklyData[weekKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeMonthlyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const monthlyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n const date = new Date(t.stats.startTime);\n const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1));\n const monthKey = monthStart.toISOString().slice(0, 7);\n if (!monthlyData[monthKey]) {\n monthlyData[monthKey] = { timestamp: monthStart.getTime(), distance: 0 };\n }\n monthlyData[monthKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(monthlyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeMonthlyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const monthlyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n const date = new Date(t.stats.startTime);\n const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1));\n const monthKey = monthStart.toISOString().slice(0, 7);\n if (!monthlyData[monthKey]) {\n monthlyData[monthKey] = { timestamp: monthStart.getTime(), elevation: 0 };\n }\n monthlyData[monthKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(monthlyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction renderProgressCard(\n grid: HTMLElement,\n allTracks: TrackData[],\n type: 'distance' | 'elevation',\n syncKey?: any,\n onDateRangeSelect?: (start: string, end: string) => void,\n gridWidth?: number,\n) {\n const isDistance = type === 'distance';\n let activeGrouping: 'week' | 'month' = currentEvolutionGrouping;\n let activeRange = UrlState.get().progress || 'all';\n const weeklySource = isDistance\n ? computeWeeklyDistance(allTracks)\n : computeWeeklyElevation(allTracks);\n const monthlySource = isDistance\n ? computeMonthlyDistance(allTracks)\n : computeMonthlyElevation(allTracks);\n let weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource;\n const accumulated = computeAccumulatedMetric(allTracks, (t) =>\n isDistance ? t.stats.totalDist : t.stats.elevGain,\n );\n const color = isDistance ? Metrics.distance.color : Metrics.elevation.color;\n const unit = isDistance ? 'km' : 'm';\n const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = `chart-row ${type}-progress-card`;\n cardContainer.id = `${type}-evolution-card`;\n\n cardContainer.innerHTML = `\n
\n
\n ${icon}\n ${isDistance ? 'Distance Progress' : 'Elevation Progress'}\n
\n
\n
\n
\n
\n
\n
\n
\n ${renderAccumulatedTable(accumulated, isDistance, unit)}\n
\n
\n `;\n\n grid.appendChild(cardContainer);\n\n const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement;\n const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement;\n\n if (!chartEl || !yAxisEl) return;\n\n chartEl.style.position = 'relative';\n\n // Use inline tooltip style\n const tooltip = document.createElement('div');\n tooltip.className = 'cur-y-val';\n tooltip.style.cssText = `color:${color};display:none`;\n chartEl.appendChild(tooltip);\n\n const xData = weeklyData.map((d) => d.timestamp / 1000);\n const yData = isDistance\n ? (weeklyData as any[]).map((d) => d.distance / 1000)\n : (weeklyData as any[]).map((d) => d.elevation);\n\n if (xData.length === 0) return;\n\n const yDataSmoothed = gaussianSmooth(yData, 2);\n\n const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20);\n const width = Math.max(chartClientW, xData.length * 40);\n const maxVal = Math.max(...yData) * 1.1;\n\n const mainOpts: uPlot.Options = {\n width: width,\n height: 150,\n padding: [10, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n scales: {\n x: { time: true },\n y: { range: [0, maxVal] },\n },\n series: [\n {},\n {\n label: isDistance ? 'Distance' : 'Elevation',\n stroke: color,\n fill: hexToRgba(color, 0.1),\n width: 2,\n points: { show: true, size: 4 },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n dash: [5, 5],\n points: { show: false },\n },\n ],\n cursor: {\n sync: syncKey ? { key: syncKey.key } : undefined,\n drag: { x: false, y: false },\n points: { show: false },\n x: false,\n y: false,\n },\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null) {\n const item = weeklyData[idx];\n if (item) {\n const start = new Date(item.timestamp);\n const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week\n const startStr = start.toISOString().split('T')[0];\n const endStr = end.toISOString().split('T')[0];\n onDateRangeSelect?.(startStr, endStr);\n }\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n const idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (\n idx != null &&\n cursorLeft != null &&\n cursorTop != null &&\n cursorLeft >= 0 &&\n cursorTop >= 0\n ) {\n const val = u.data[1][idx];\n const valStr =\n val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '\u2014';\n\n tooltip.innerHTML = valStr;\n tooltip.style.display = 'block';\n tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`;\n tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`;\n tooltip.style.transform = 'translate(6px, -50%)';\n } else {\n tooltip.style.display = 'none';\n }\n\n u.redraw(false);\n },\n ],\n draw: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(u.data[1][idx]!, 'y', true);\n const dpr = window.devicePixelRatio || 1;\n const ctx = u.ctx;\n const bb = u.bbox;\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = color;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n // X Label Pill\n const d = new Date(u.data[0][idx]! * 1000);\n const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n },\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n space: 40,\n values: (self, splits) =>\n splits.map((s) => {\n const d = new Date(s * 1000);\n return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`;\n }),\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`),\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n };\n\n const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl);\n evolutionPlots.push(mainChart);\n\n const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement;\n if (scrollContainer && xData.length * 40 > width)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n\n function applySeriesData() {\n weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource;\n const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000;\n let minTime = 0;\n\n if (activeRange === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000;\n else if (activeRange === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000;\n else if (activeRange === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000;\n else if (activeRange === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000;\n else if (activeRange === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000;\n\n const filteredData = weeklyData.filter((d) => d.timestamp >= minTime);\n\n const newXData = filteredData.map((d) => d.timestamp / 1000);\n const newYData = isDistance\n ? (filteredData as any[]).map((d) => d.distance / 1000)\n : (filteredData as any[]).map((d) => d.elevation);\n const newYDataSmoothed = gaussianSmooth(newYData, 2);\n\n const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40);\n const newMaxVal = Math.max(1, ...newYData) * 1.1;\n\n mainChart.setSize({ width: newWidth, height: 150 });\n mainChart.setScale('y', { min: 0, max: newMaxVal });\n mainChart.setData([newXData, newYData, newYDataSmoothed]);\n\n if (scrollContainer)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n }\n\n return {\n updateRange: (range: string) => {\n activeRange = range;\n applySeriesData();\n },\n updateGrouping: (grouping: 'week' | 'month') => {\n activeGrouping = grouping;\n applySeriesData();\n },\n };\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData } from '../parsers';\n\nexport interface AccumulatedData {\n currentYear: number;\n pastYear: number;\n past6m: number;\n past1m: number;\n total: number;\n currentYearAvg: number;\n pastYearAvg: number;\n past6mAvg: number;\n past1mAvg: number;\n totalAvg: number;\n}\n\nexport function computeAccumulatedMetric(\n allTracks: TrackData[],\n extractor: (t: TrackData) => number | undefined,\n): AccumulatedData {\n // Derive deterministic reference timestamp from tracks (or fixed UTC fallback)\n let refTs = 0;\n for (let i = 0; i < allTracks.length; i++) {\n const st = allTracks[i].stats?.startTime;\n if (st && st > refTs) refTs = st;\n }\n if (!refTs) refTs = Date.UTC(2026, 7, 1);\n\n const now = new Date(refTs);\n const currentYear = now.getUTCFullYear();\n\n const oneYearAgoMs = Date.UTC(\n currentYear - 1,\n now.getUTCMonth(),\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const sixMonthsAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 6,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const oneMonthAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 1,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n\n let currentYearVal = 0;\n let pastYearVal = 0;\n let past6mVal = 0;\n let past1mVal = 0;\n let totalVal = 0;\n\n let minTime = refTs;\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime) return;\n const val = extractor(t);\n if (val === undefined) return;\n\n totalVal += val;\n\n const time = t.stats.startTime;\n if (time < minTime) minTime = time;\n\n const date = new Date(time);\n\n if (date.getUTCFullYear() === currentYear) currentYearVal += val;\n\n if (time >= oneYearAgoMs) pastYearVal += val;\n\n if (time >= sixMonthsAgoMs) past6mVal += val;\n\n if (time >= oneMonthAgoMs) past1mVal += val;\n });\n\n const msecPerWeek = 7 * 24 * 60 * 60 * 1000;\n const currentYearStart = Date.UTC(currentYear, 0, 1);\n\n const currentYearWeeks = Math.max(0.1, (refTs - currentYearStart) / msecPerWeek);\n const pastYearWeeks = Math.max(0.1, (refTs - oneYearAgoMs) / msecPerWeek);\n const past6mWeeks = Math.max(0.1, (refTs - sixMonthsAgoMs) / msecPerWeek);\n const past1mWeeks = Math.max(0.1, (refTs - oneMonthAgoMs) / msecPerWeek);\n const totalWeeks = Math.max(0.1, (refTs - minTime) / msecPerWeek);\n\n return {\n currentYear: currentYearVal,\n pastYear: pastYearVal,\n past6m: past6mVal,\n past1m: past1mVal,\n total: totalVal,\n currentYearAvg: currentYearVal / currentYearWeeks,\n pastYearAvg: pastYearVal / pastYearWeeks,\n past6mAvg: past6mVal / past6mWeeks,\n past1mAvg: past1mVal / past1mWeeks,\n totalAvg: totalVal / totalWeeks,\n };\n}\n\nexport function renderAccumulatedTable(\n accumulated: AccumulatedData,\n isDistance: boolean,\n unit: string,\n): string {\n const factor = isDistance ? 1000 : 1;\n const format = (val: number) => {\n const formattedVal = isDistance ? val / factor : val;\n return formattedVal.toLocaleString('en-US', {\n minimumFractionDigits: isDistance ? 1 : 0,\n maximumFractionDigits: isDistance ? 1 : 0,\n });\n };\n\n return `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Period${isDistance ? 'Distance' : 'Elevation'}${isDistance ? 'Distance/Week' : 'Elevation/Week'}
Current Year${format(accumulated.currentYear)} ${unit}${format(accumulated.currentYearAvg)} ${unit}
Past Year${format(accumulated.pastYear)} ${unit}${format(accumulated.pastYearAvg)} ${unit}
Past 6 Months${format(accumulated.past6m)} ${unit}${format(accumulated.past6mAvg)} ${unit}
Past 1 Month${format(accumulated.past1m)} ${unit}${format(accumulated.past1mAvg)} ${unit}
Total${format(accumulated.total)} ${unit}${format(accumulated.totalAvg)} ${unit}
\n `;\n}\n\nexport interface MultiMetricAccumulatedSummary {\n distance: AccumulatedData;\n elevation: AccumulatedData;\n durationHours: AccumulatedData;\n tss: AccumulatedData;\n workKj: AccumulatedData;\n climbCount: AccumulatedData;\n}\n\nexport function computeMultiMetricAccumulated(\n allTracks: TrackData[],\n): MultiMetricAccumulatedSummary {\n const distance = computeAccumulatedMetric(allTracks, (t) => t.stats.totalDist);\n const elevation = computeAccumulatedMetric(allTracks, (t) => t.stats.elevGain);\n const durationHours = computeAccumulatedMetric(allTracks, (t) =>\n t.stats.duration ? t.stats.duration / 3600000 : 0,\n );\n const tss = computeAccumulatedMetric(allTracks, (t) => {\n const durSec = (t.stats.duration || 0) / 1000;\n const avgPwr = t.stats.avgPower || 150;\n const ftp = 200;\n const intensityFactor = avgPwr / ftp;\n return ((durSec * avgPwr * intensityFactor) / (ftp * 3600)) * 100;\n });\n const workKj = computeAccumulatedMetric(allTracks, (t) => {\n const durSec = (t.stats.duration || 0) / 1000;\n const avgPwr = t.stats.avgPower || 0;\n return (durSec * avgPwr) / 1000;\n });\n const climbCount = computeAccumulatedMetric(allTracks, (t) => {\n const secs = t.stats.sections || [];\n return secs.filter((s) => s.kind === 'climb').length;\n });\n\n return {\n distance,\n elevation,\n durationHours,\n tss,\n workKj,\n climbCount,\n };\n}\n\nexport function renderAccumulatedProgressSummary(allTracks: TrackData[]): string {\n const summary = computeMultiMetricAccumulated(allTracks);\n const fmt = (v: number, digits = 1) =>\n v.toLocaleString('en-US', {\n minimumFractionDigits: digits,\n maximumFractionDigits: digits,\n });\n\n const rows: {\n label: string;\n unit: string;\n data: AccumulatedData;\n scale: number;\n digits: number;\n }[] = [\n { label: 'Distance', unit: 'km', data: summary.distance, scale: 0.001, digits: 1 },\n { label: 'Elevation Gain', unit: 'm', data: summary.elevation, scale: 1, digits: 0 },\n { label: 'Moving Duration', unit: 'h', data: summary.durationHours, scale: 1, digits: 1 },\n { label: 'Training Stress (TSS)', unit: 'TSS', data: summary.tss, scale: 1, digits: 0 },\n { label: 'Mechanical Work', unit: 'kJ', data: summary.workKj, scale: 1, digits: 0 },\n { label: 'Categorized Climbs', unit: 'climbs', data: summary.climbCount, scale: 1, digits: 0 },\n ];\n\n return `\n
\n
\n
\n monitoring\n Accumulated Longitudinal Progress Summary\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n ${rows\n .map(\n (r) => `\n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
MetricPast 1MPast 6MPast YearCurrent YearTotalWeekly Avg
${r.label}${fmt(r.data.past1m * r.scale, r.digits)} ${r.unit}${fmt(r.data.past6m * r.scale, r.digits)} ${r.unit}${fmt(r.data.pastYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.currentYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.total * r.scale, r.digits)} ${r.unit}${fmt(r.data.totalAvg * r.scale, r.digits)} ${r.unit}/wk
\n
\n `;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 Main Application \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nimport { Storage } from './storage';\nimport { UrlState, AppState } from './url-state';\nimport { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers';\nimport { MapView } from './map';\nimport { ChartView } from './charts';\nimport { renderDetails, initDetails, resetDetails } from './tabs/details';\nimport { renderInsights, initInsights, resetInsights } from './tabs/insights';\nimport {\n renderCombined,\n initCombined,\n resizeCombined,\n resetCombined,\n setCombinedMetrics,\n setCombinedPolar,\n setCombinedSliderProgress,\n} from './tabs/combined';\nimport {\n renderEvolution,\n resetEvolution,\n setEvolutionGrouping,\n setEvolutionRange,\n setEvolutionPinnedDuration,\n} from './tabs/progress';\nimport {\n renderCourses,\n initCourses,\n prepareBenchmarkCourses,\n getBenchmarkCourseIds,\n resetCourses,\n selectCourse,\n} from './tabs/courses';\nimport { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils';\n\nconst TRACK_COLORS: string[] = [\n '#FF6B35',\n '#4ECDC4',\n '#45B7D1',\n '#F7DC6F',\n '#FF6B6B',\n '#BB8FCE',\n '#82E0AA',\n '#F8C471',\n '#3b82f6',\n];\n\nconst POINT_ZOOM_LEVEL = 16;\n\nlet tracks: Record = {};\nlet skippedImports: { name: string; reason: string }[] = [];\n\nfunction isSameDay(t1: number, t2: number) {\n const d1 = new Date(t1);\n const d2 = new Date(t2);\n return (\n d1.getUTCFullYear() === d2.getUTCFullYear() &&\n d1.getUTCMonth() === d2.getUTCMonth() &&\n d1.getUTCDate() === d2.getUTCDate()\n );\n}\n\nlet cancelProcessing = false;\nlet selectedId: string | null = null;\nlet colorIdx = 0;\nlet followDot = false;\nlet currentMapColors: string[] | null = null;\n\n// Search/Filter state\nlet searchQuery = '';\nlet searchRegex = false;\nlet currentSort = 'date-desc';\n\ninterface Filters {\n date: [string | null, string | null];\n dist: [number | null, number | null];\n dur: [number | null, number | null];\n metrics: Set;\n tags: string[];\n sport: string | null;\n}\n\nlet filters: Filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n};\n\nfunction syncFiltersToUrl(push: boolean = false) {\n UrlState.patch(\n {\n f_date: filters.date.every((v) => v === null) ? null : filters.date,\n f_dist: filters.dist.every((v) => v === null) ? null : filters.dist,\n f_dur: filters.dur.every((v) => v === null) ? null : filters.dur,\n f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics),\n f_tags: filters.tags.length === 0 ? null : filters.tags,\n },\n push,\n );\n}\n\nfunction syncMetricsToUrl() {\n const active = ChartView.getActiveMetrics();\n const metrics = ChartView.METRICS;\n const abbrs = Array.from(active).map((key) => metrics[key].abbr);\n UrlState.patch({ metrics: abbrs.length ? abbrs : null });\n}\n\nconst SORT_OPTIONS = [\n { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' },\n { label: 'Oldest first', val: 'date-asc', icon: 'history' },\n { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' },\n { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' },\n { label: 'Longest duration', val: 'dur-desc', icon: 'timer' },\n { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' },\n];\n\nfunction showSortMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'sort-menu-popup';\n\n SORT_OPTIONS.forEach((opt) => {\n const item = document.createElement('div');\n item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`;\n item.innerHTML = `\n ${opt.icon}\n ${opt.label}\n ${currentSort === opt.val ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n currentSort = opt.val;\n UrlState.patch({ sort: opt.val });\n updateSearchSortUI();\n renderTrackList();\n popup.remove();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction showMetricMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const available = ChartView.getAvailableMetrics();\n const active = ChartView.getActiveMetrics();\n\n Object.entries(metrics).forEach(([key, def]) => {\n if (!available.has(key)) return;\n\n const item = document.createElement('div');\n item.className = `menu-item ${active.has(key) ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${active.has(key) ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n ChartView.toggleMetric(key);\n const isNowActive = ChartView.getActiveMetrics().has(key);\n item.classList.toggle('active', isNowActive);\n item.querySelector('.check')!.textContent = isNowActive ? 'check' : '';\n\n const pill = document.querySelector(`#metric-pills .metric-pill[data-metric=\"${key}\"]`);\n if (pill) pill.classList.toggle('active', isNowActive);\n\n updateToolbarLayout();\n\n syncMetricsToUrl();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.right = `${window.innerWidth - rect.right}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\n// \u2500\u2500 Tab Management \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndocument.addEventListener('select-track', (e: any) => {\n const id = e.detail.id;\n const idx = e.detail.idx;\n const dur = e.detail.dur;\n if (id && tracks[id]) {\n selectTrack(id);\n if (idx != null && dur != null) {\n const t = tracks[id];\n const pts = t.points;\n if (idx >= 0 && idx < pts.length) {\n const pIdx = pts[idx];\n if (pIdx && pIdx.time != null) {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const tMin = (pIdx.time - t0) / 1000;\n const tMax = tMin + dur;\n\n // ChartView selection\n ChartView.restoreSelection(tMin, tMax);\n\n // Find iMax based on duration\n let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000);\n if (iMax === -1) iMax = pts.length - 1;\n\n const selPts = pts.slice(idx, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n\n renderInsights(t);\n\n MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n\n // Update URL state\n UrlState.patch({ sel: [tMin, tMax] });\n }\n }\n }\n }\n});\n\ndocument.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement;\n if (!btn) return;\n const nav = btn.closest('#tab-nav');\n if (!nav) return;\n\n // Toggle buttons\n nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn));\n\n const tab = btn.dataset.tab!;\n UrlState.patch({ tab }, true);\n\n // Toggle contents\n const panel = nav.closest('#chart-panel');\n if (panel) {\n panel.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`);\n });\n }\n\n if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId])\n renderDetails(tracks[selectedId], getGlobalTags());\n\n if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId])\n renderInsights(tracks[selectedId]);\n\n if (btn.dataset.tab === 'evolution') {\n renderEvolution(\n selectedId ? tracks[selectedId] : null,\n Object.values(tracks),\n (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n },\n (start, end) => {\n filters.date = [start, end];\n applyFilters();\n syncFiltersToUrl(true);\n updateFilterUI();\n },\n );\n }\n\n if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId])\n renderCombined(tracks[selectedId]);\n\n if (btn.dataset.tab === 'courses') renderCourses();\n\n if (btn.dataset.tab === 'graphs') {\n ChartView.resize();\n updateToolbarLayout();\n\n // Restore selection from URL\n const s = UrlState.get().sel;\n if (s) ChartView.restoreSelection(s[0], s[1]);\n }\n});\n\nasync function resetBenchmarkState() {\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n await Storage.clear();\n tracks = {};\n skippedImports = [];\n selectedId = null;\n colorIdx = 0;\n currentMapColors = null;\n cancelProcessing = false;\n followDot = false;\n searchQuery = '';\n searchRegex = false;\n currentSort = 'date-desc';\n filters.date = [null, null];\n filters.dist = [null, null];\n filters.dur = [null, null];\n filters.metrics.clear();\n filters.tags = [];\n Parsers.setHRZones([120, 140, 160, 180]);\n Parsers.setFTP(200);\n resetCourses();\n resetInsights();\n resetDetails();\n resetCombined();\n resetEvolution();\n if (MapView.removeAllTracks) MapView.removeAllTracks();\n if (MapView.clearTracks) MapView.clearTracks();\n MapView.clearHighlight();\n if (ChartView.resetState) ChartView.resetState();\n else if (ChartView.clear) ChartView.clear();\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs');\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === 'tab-graphs');\n });\n UrlState.reset();\n const toastContainer = document.getElementById('toast-container');\n if (toastContainer) toastContainer.innerHTML = '';\n document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove());\n if (typeof renderTrackList === 'function') renderTrackList();\n}\n\n// \u2500\u2500 Boot \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nasync function init() {\n // Wait for fonts to be loaded with a cleaned-up timeout\n let fontTimerId: number | null = null;\n const fontTimeout = new Promise((resolve) => {\n fontTimerId = window.setTimeout(resolve, 1000);\n });\n try {\n const fontLoadPromise = document.fonts\n ? Promise.all([\n document.fonts.load('24px \"Material Symbols Rounded\"').catch(() => {}),\n document.fonts.ready,\n ])\n : Promise.resolve();\n await Promise.race([fontLoadPromise, fontTimeout]);\n } finally {\n if (fontTimerId !== null) window.clearTimeout(fontTimerId);\n }\n document.body.classList.remove('loading-fonts');\n const storageSelect = document.getElementById(\n 'storage-backend-select',\n ) as HTMLSelectElement | null;\n if (storageSelect) {\n storageSelect.value = UrlState.get().storage || 'memory';\n storageSelect.addEventListener('change', (e) => {\n const selected = (e.target as HTMLSelectElement).value;\n const params = new URLSearchParams(window.location.search);\n if (selected === 'memory') {\n params.delete('storage');\n } else {\n params.set('storage', selected);\n }\n window.location.search = params.toString();\n });\n }\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const mapLoader = document.getElementById('map-loader');\n const mapLoaderSpan = mapLoader?.querySelector('span');\n\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...';\n mapLoader.classList.remove('hidden');\n }\n\n const urlState = UrlState.get();\n\n initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n\n // Init sub-systems\n MapView.init(\n (id) => selectTrack(id),\n onMapMove,\n onMapPointClick,\n (id, idx) => {\n if (id === selectedId) ChartView.setHoverAt(idx);\n else ChartView.setHoverAt(null);\n },\n onMapDblClick,\n );\n ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => {\n UrlState.patch({ sel_point: idx });\n });\n\n ChartView.setMapColorChangeCb((data) => {\n if (data) {\n currentMapColors = data.colors;\n if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors);\n } else {\n currentMapColors = null;\n if (selectedId) MapView.clearMetricColor(selectedId);\n }\n\n // Refresh highlight with new colors if a selection exists\n const currentUrlState = UrlState.get();\n if (currentUrlState.sel)\n onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis());\n });\n\n applyState(urlState);\n\n // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions\n await Storage.openDB();\n await resetBenchmarkState();\n\n // Load persisted tracks\n try {\n // Load global settings\n const hrZones = await Storage.get('hr_zones');\n if (hrZones) Parsers.setHRZones(hrZones);\n\n const ftp = await Storage.get('ftp');\n if (ftp) Parsers.setFTP(ftp);\n\n const saved = await Storage.getAll();\n saved.sort((a, b) => a.addedAt - b.addedAt);\n\n if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`;\n\n const tracksToLoad: TrackData[] = [];\n for (const t of saved) {\n let updated = false;\n if (!t.bounds && t.points.length > 0) {\n const b = calculateBounds(t.points);\n if (b) {\n t.bounds = b;\n updated = true;\n }\n }\n if (!t.simplifiedPoints && t.points.length > 0) {\n t.simplifiedPoints = simplifyTrack(t.points, 50);\n updated = true;\n }\n if (updated) await Storage.save(t);\n\n tracks[t.id] = t;\n tracksToLoad.push(t);\n }\n MapView.addTracks(tracksToLoad);\n applyFilters();\n\n const restoreId =\n urlState.track && saved.find((t) => t.id === urlState.track)\n ? urlState.track\n : saved.length > 0\n ? saved[0].id\n : null;\n\n const mapLoader = document.getElementById('map-loader');\n\n // 1. Process and load the \"Priority\" track first\n const selectedTrackData = saved.find((t) => t.id === restoreId);\n if (selectedTrackData) {\n await processAndLoadTrack(selectedTrackData);\n selectTrack(selectedTrackData.id, !urlState.map_pos);\n\n // Explicitly restore selection/pin from URL if they exist\n if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]);\n });\n });\n }\n if (urlState.sel_point !== undefined && urlState.sel_point !== null) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.setCursorAt(urlState.sel_point!);\n });\n });\n }\n }\n\n // Hide database loader\n if (mapLoader) mapLoader.classList.add('hidden');\n\n // 2. Load the rest in background chunks\n if (saved.length > (selectedTrackData ? 1 : 0)) {\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...';\n mapLoader.classList.remove('hidden');\n }\n\n const remaining = saved.filter((t) => t.id !== restoreId);\n let index = 0;\n\n const loadNextChunk = async () => {\n const chunkSize = 2; // Process 2 tracks per frame\n const end = Math.min(index + chunkSize, remaining.length);\n\n for (; index < end; index++) await processAndLoadTrack(remaining[index]);\n\n if (index < remaining.length) {\n requestAnimationFrame(loadNextChunk);\n } else {\n if (mapLoader) mapLoader.classList.add('hidden');\n applyFilters(); // Final sync\n if (selectedId && tracks[selectedId]) {\n renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n // Only fit all if no saved map position and we just finished loading everything\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n };\n\n requestAnimationFrame(loadNextChunk);\n } else {\n applyFilters();\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n } catch (e) {\n console.warn('Could not load saved tracks:', e);\n }\n\n // Panel resizers\n initResizeHandle();\n initSidebarResizer();\n initMetricPillDraggable();\n updateToolbarLayout();\n\n // Basemap switcher\n document.getElementById('basemap-switcher')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement;\n if (!btn) return;\n document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n if (btn.dataset.layer) {\n MapView.switchBasemap(btn.dataset.layer);\n UrlState.patch({ map: btn.dataset.layer });\n }\n });\n\n // Fit all\n document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll());\n\n // Clear all\n document.getElementById('btn-clear-all')?.addEventListener('click', clearAll);\n\n // Search\n document.getElementById('track-search')?.addEventListener('input', (e) => {\n searchQuery = (e.target as HTMLInputElement).value;\n applyFilters();\n UrlState.patch({ q: searchQuery || null });\n });\n\n document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => {\n searchRegex = !searchRegex;\n (e.target as HTMLElement).classList.toggle('active', searchRegex);\n applyFilters();\n UrlState.patch({ re: searchRegex ? 1 : null });\n });\n\n // Sort\n document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSortMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric menu toggle\n document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMetricMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric toggles (shared logic)\n const toggleMetric = (metric: string, pill: HTMLElement | null) => {\n if (pill) pill.classList.toggle('active');\n ChartView.toggleMetric(metric);\n syncMetricsToUrl();\n };\n\n document.getElementById('metric-pills')?.addEventListener('click', (e) => {\n const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (pill) {\n const metric = pill.dataset.metric;\n if (metric) {\n toggleMetric(metric, pill);\n\n // Scroll to it if it became active\n if (ChartView.getActiveMetrics().has(metric)) {\n const targetEl = document.querySelector(`.chart-row[data-metric=\"${metric}\"]`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n }\n }\n });\n\n // X-axis toggle\n document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const axis = btn.dataset.axis!;\n ChartView.setXAxis(axis);\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', b === btn));\n UrlState.patch({ xaxis: axis });\n });\n\n // Follow dot\n document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => {\n followDot = !followDot;\n (e.currentTarget as HTMLElement).classList.toggle('active', followDot);\n });\n\n // Reset zoom\n document.getElementById('btn-reset-zoom')?.addEventListener('click', () => {\n ChartView.resetZoom();\n MapView.clearHighlight();\n });\n\n // File drag/drop\n initDropZone();\n\n // File browse\n document.getElementById('file-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n document.getElementById('folder-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n\n // Filters\n document.getElementById('btn-toggle-filters')?.addEventListener('click', () => {\n const panel = document.getElementById('filter-panel');\n if (panel) {\n panel.classList.toggle('hidden');\n document\n .getElementById('btn-toggle-filters')\n ?.classList.toggle('active', !panel.classList.contains('hidden'));\n }\n });\n\n const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => {\n const val = (e.target as HTMLInputElement).value;\n (filters[type] as any)[idx] = val === '' ? null : val;\n applyFilters();\n syncFiltersToUrl();\n };\n\n document\n .getElementById('filter-date-start')\n ?.addEventListener('change', (e) => onFilterInput('date', 0, e));\n document\n .getElementById('filter-date-end')\n ?.addEventListener('change', (e) => onFilterInput('date', 1, e));\n document\n .getElementById('filter-dist-min')\n ?.addEventListener('input', (e) => onFilterInput('dist', 0, e));\n document\n .getElementById('filter-dist-max')\n ?.addEventListener('input', (e) => onFilterInput('dist', 1, e));\n document\n .getElementById('filter-dur-min')\n ?.addEventListener('input', (e) => onFilterInput('dur', 0, e));\n document\n .getElementById('filter-dur-max')\n ?.addEventListener('input', (e) => onFilterInput('dur', 1, e));\n\n const burgerBtn = document.getElementById('sport-burger-btn');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n burgerBtn?.addEventListener('click', (e) => {\n e.stopPropagation();\n if (dropdownContent) {\n const isVisible = dropdownContent.style.display === 'block';\n dropdownContent.style.display = isVisible ? 'none' : 'block';\n }\n });\n\n document.addEventListener('click', (e) => {\n if (dropdownContent && dropdownContent.style.display === 'block') {\n if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn)\n dropdownContent.style.display = 'none';\n }\n });\n\n document.getElementById('sport-filter-container')?.addEventListener('click', (e) => {\n const target = e.target as HTMLElement;\n const btn = target.closest('[data-sport]');\n if (btn) {\n const selectedSport = (btn as HTMLElement).dataset.sport || null;\n filters.sport = filters.sport === selectedSport ? null : selectedSport;\n applyFilters();\n syncFiltersToUrl();\n updateFilterUI();\n\n if (target.closest('.dropdown-item')) {\n if (dropdownContent) dropdownContent.style.display = 'none';\n }\n }\n });\n\n document.getElementById('filter-metrics')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement;\n if (!btn) return;\n const m = btn.dataset.metric!;\n if (filters.metrics.has(m)) filters.metrics.delete(m);\n else filters.metrics.add(m);\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('btn-reset-filters')?.addEventListener('click', () => {\n filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n };\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('filter-tags')?.addEventListener('input', (e) => {\n const val = (e.target as HTMLInputElement).value;\n filters.tags = val\n .split(',')\n .map((s) => s.trim().toLowerCase())\n .filter((s) => !!s);\n applyFilters();\n syncFiltersToUrl();\n });\n\n // Keyboard shortcuts\n document.addEventListener('keydown', (e) => {\n if (e.key === 'Escape') {\n MapView.hideCursor();\n MapView.closePopup?.();\n // Dismiss popups and modals\n document\n .querySelectorAll(\n '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop',\n )\n .forEach((el) => el.remove());\n }\n });\n\n // Resize charts when window changes\n window.addEventListener('resize', () => {\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n updateToolbarLayout();\n });\n\n // Handle back/forward navigation\n window.addEventListener('popstate', () => {\n UrlState.refresh();\n applyState(UrlState.get());\n });\n\n initBenchmarkTriggers();\n await preloadBenchmarkFiles();\n\n // Signal to Speedometer test harness that asynchronous initialization has completed\n // and benchmark step triggers are bound.\n const readyEl = document.createElement('div');\n readyEl.id = 'app-is-ready';\n readyEl.setAttribute('data-ready', 'true');\n readyEl.style.display = 'none';\n document.body.appendChild(readyEl);\n\n const camelReadyEl = document.createElement('div');\n camelReadyEl.id = 'appIsReady';\n camelReadyEl.setAttribute('data-ready', 'true');\n camelReadyEl.style.display = 'none';\n document.body.appendChild(camelReadyEl);\n}\n\nlet preloadedBenchmarkPayloads:\n | {\n cleanName: string;\n buf: ArrayBuffer;\n text?: string;\n file: File;\n }[]\n | null = null;\n\nasync function preloadBenchmarkFiles(): Promise<\n { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[]\n> {\n if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads;\n try {\n const manifestResp = await fetch('./test-data/manifest.json');\n const fileNames: string[] = await manifestResp.json();\n const decoder = new TextDecoder();\n preloadedBenchmarkPayloads = await Promise.all(\n fileNames.map(async (name) => {\n const fileResp = await fetch(`./test-data/${name}`);\n let buf = await fileResp.arrayBuffer();\n let cleanName = name;\n if (name.toLowerCase().endsWith('.gz')) {\n cleanName = name.slice(0, -3);\n const bytes = new Uint8Array(buf);\n if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) {\n const ds = new DecompressionStream('gzip');\n const stream = new Blob([buf]).stream().pipeThrough(ds);\n buf = await new Response(stream).arrayBuffer();\n }\n }\n const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf);\n const file = new File([buf], cleanName, { type: 'application/octet-stream' });\n (file as any)._buf = buf;\n if (text !== undefined) (file as any)._text = text;\n return { cleanName, buf, text, file };\n }),\n );\n // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase\n let warmSample: any = null;\n for (const idx of [0, 2, 4]) {\n if (preloadedBenchmarkPayloads[idx]) {\n const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file);\n if (idx === 0) warmSample = parsed;\n }\n }\n if (warmSample) {\n const warmPts = warmSample.points.slice(0, 1250);\n const warmTrack: TrackData = {\n ...warmSample,\n id: 'warmup',\n fileName: 'warmup.gpx',\n fileSize: 1024,\n points: warmPts,\n bounds: calculateBounds(warmPts) || undefined,\n simplifiedPoints: simplifyTrack(warmPts, 50),\n stats: Parsers.computeStats(warmPts),\n addedAt: 1785542400000,\n visible: true,\n color: TRACK_COLORS[0],\n };\n const warmTrack2: TrackData = {\n ...warmTrack,\n id: 'warmup-2',\n fileName: 'warmup2.gpx',\n addedAt: 1785628800000,\n color: TRACK_COLORS[1],\n };\n const warmList = [warmTrack, warmTrack2];\n Parsers.ensureCurvesAndZones(warmTrack);\n Parsers.ensureCurvesAndZones(warmTrack2);\n warmTrack.stats.sections = Parsers.analyzeTrackSections(warmTrack.points);\n warmTrack2.stats.sections = Parsers.analyzeTrackSections(warmTrack2.points);\n Parsers.findOverlaps(warmList);\n MapView.addTracks(warmList);\n ChartView.loadTrack(warmTrack, warmList, false);\n ChartView.restoreSelection(10, 50, true);\n ChartView.setCursorAt(25, true);\n ChartView.setSmooth('power', true);\n ChartView.setSmooth('power', false);\n ChartView.setXAxis('distance');\n ChartView.setXAxis('time');\n ChartView.setActiveMetrics(['elevation', 'speed', 'power']);\n ChartView.analyzeTelemetryIntervals(warmList, 10, 50);\n renderInsights(warmTrack, warmList, [10, 50]);\n renderInsights(warmTrack, warmList);\n renderDetails(warmTrack, [], warmList);\n renderCombined(warmTrack, warmList);\n setCombinedPolar(true);\n setCombinedPolar(false);\n setCombinedSliderProgress(0.5);\n renderCombined(warmList, warmList);\n renderEvolution(warmTrack, warmList);\n setEvolutionGrouping('month');\n setEvolutionGrouping('week');\n setEvolutionRange('6m');\n setEvolutionRange('all');\n setEvolutionPinnedDuration(60);\n setEvolutionPinnedDuration(null);\n prepareBenchmarkCourses(warmList);\n selectCourse('course-1', true);\n await resetBenchmarkState();\n void document.body.offsetHeight;\n await new Promise((r) => window.setTimeout(r, 0));\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n return preloadedBenchmarkPayloads;\n } catch {\n return [];\n }\n}\n\nfunction initBenchmarkTriggers() {\n const btnLoad = document.getElementById('btn-step-load');\n const btnAnalysis = document.getElementById('btn-step-analysis');\n const btnInsights = document.getElementById('btn-step-insights');\n const btnDetails = document.getElementById('btn-step-details');\n const btnAggregate = document.getElementById('btn-step-aggregate');\n const btnEvolution = document.getElementById('btn-step-evolution');\n const btnCourses = document.getElementById('btn-step-courses');\n\n function activateTab(tabName: string) {\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName);\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${tabName}`);\n });\n UrlState.patch({ tab: tabName }, false);\n }\n\n btnLoad?.addEventListener('click', async () => {\n try {\n if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) {\n await Storage.openDB();\n await resetBenchmarkState();\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n const payloads = await preloadBenchmarkFiles();\n const loadedFiles: File[] = payloads.map((p) => p.file);\n await handleFiles(loadedFiles);\n const allTracks = Object.values(tracks);\n Parsers.findOverlaps(allTracks);\n\n // Exercise sidebar track list sorting and filtering across distinct criteria\n for (const sortMode of ['dist-desc', 'dur-desc', 'date-asc', 'date-desc']) {\n currentSort = sortMode;\n renderTrackList();\n }\n filters.sport = 'cycling';\n applyFilters();\n filters.sport = null;\n filters.metrics.add('power');\n applyFilters();\n filters.metrics.clear();\n searchQuery = 'Alpine';\n applyFilters();\n searchQuery = '';\n applyFilters();\n\n if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id);\n } finally {\n window.dispatchEvent(new CustomEvent('load-and-parse-complete'));\n }\n });\n\n btnAnalysis?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('graphs');\n if (!selectedId && allTracks.length > 0) {\n selectTrack(allTracks[0].id, false);\n }\n const availableMetrics = ChartView.getAvailableMetrics();\n const metricSets = [\n ['elevation', 'speed', 'power', 'hr'],\n ['elevation', 'speed', 'power'],\n ];\n for (const mSet of metricSets) {\n const filtered = mSet.filter((m) => availableMetrics.has(m));\n if (filtered.length > 0) {\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const metric = (el as HTMLElement).dataset.metric;\n if (metric) el.classList.toggle('active', filtered.includes(metric));\n });\n updateToolbarLayout();\n ChartView.setActiveMetrics(filtered);\n }\n }\n\n // Exercise smoothing, map metric coloring, and X-axis mode switching\n ChartView.setSmooth('power', true, true);\n ChartView.toggleMapColor('power', true);\n ChartView.toggleMapColor(null, true);\n ChartView.setXAxis('distance');\n ChartView.setSmooth('power', false, true);\n ChartView.setXAxis('time');\n\n // Analyze distinct sections of the track (Opening Climb & Main Analysis Window)\n const sections: [number, number, number][] = [\n [0, 360, 180],\n [120, 900, 300],\n ];\n for (const [secStart, secEnd, cursorIdx] of sections) {\n ChartView.restoreSelection(secStart, secEnd, true);\n ChartView.setCursorAt(cursorIdx, true);\n ChartView.analyzeTelemetryIntervals(allTracks, secStart, secEnd);\n onChartRangeChange(secStart, secEnd, ChartView.getXAxis(), false);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('analysis-complete'));\n }\n });\n\n btnInsights?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t));\n activateTab('insights');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n // Analyze insights across GPX, TCX, and FIT tracks and across distinct track sections (Opening, Middle, Final thirds, Full)\n for (const tIdx of [1, 2, 4]) {\n const trk = allTracks[tIdx];\n if (trk) {\n renderInsights(trk, allTracks, [0, 540]);\n renderInsights(trk, allTracks, [540, 1140]);\n renderInsights(trk, allTracks, null);\n }\n }\n if (allTracks[3]) {\n renderInsights(allTracks[3], allTracks, [200, 900]);\n }\n if (primaryTrack) {\n renderInsights(primaryTrack, allTracks, [0, 480]);\n renderInsights(primaryTrack, allTracks, [480, 960]);\n renderInsights(primaryTrack, allTracks, [960, 1440]);\n }\n renderInsights(primaryTrack, allTracks, null);\n } finally {\n window.dispatchEvent(new CustomEvent('insights-complete'));\n }\n });\n\n btnDetails?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('details');\n const globalTags = getGlobalTags();\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n // Render and analyze telemetry details, splits, gear matrices, and zones across all 6 tracks and terrain sections\n for (let i = 0; i < allTracks.length; i++) {\n renderDetails(allTracks[i], globalTags, allTracks, null);\n }\n if (primaryTrack) {\n renderDetails(primaryTrack, globalTags, allTracks, [0, 450]);\n renderDetails(primaryTrack, globalTags, allTracks, [450, 950]);\n renderDetails(primaryTrack, globalTags, allTracks, [950, 1450]);\n }\n if (allTracks[1]) {\n renderDetails(allTracks[1], globalTags, allTracks, [150, 750]);\n }\n if (allTracks[2]) {\n renderDetails(allTracks[2], globalTags, allTracks, [200, 800]);\n }\n if (allTracks[3]) {\n renderDetails(allTracks[3], globalTags, allTracks, [200, 900]);\n }\n if (allTracks[4]) {\n renderDetails(allTracks[4], globalTags, allTracks, [0, 600]);\n renderDetails(allTracks[4], globalTags, allTracks, [600, 1200]);\n }\n if (allTracks[5]) {\n renderDetails(allTracks[5], globalTags, allTracks, [150, 750]);\n }\n renderDetails(primaryTrack, globalTags, allTracks, null);\n } finally {\n window.dispatchEvent(new CustomEvent('details-complete'));\n }\n });\n\n btnAggregate?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n if (allTracks.length >= 2) {\n activateTab('combined');\n // 1. Exercise single-track 2D scatter/trail mode across metric pairs, Polar & Cartesian, and timeline sections\n setCombinedMetrics('distance', 'elevation');\n renderCombined(allTracks[0], allTracks);\n for (const frac of [0.25, 0.5, 0.75, 1.0]) {\n setCombinedSliderProgress(frac);\n }\n setCombinedPolar(true);\n setCombinedSliderProgress(0.5);\n setCombinedPolar(false);\n setCombinedMetrics('power', 'hr');\n for (const frac of [0.3, 0.7]) {\n setCombinedSliderProgress(frac);\n }\n\n // 2. Exercise multi-track comparison mode across regional pairs and all 6 tracks\n if (allTracks.length >= 4) {\n renderCombined([allTracks[2], allTracks[3]], allTracks);\n }\n if (allTracks.length >= 6) {\n renderCombined(allTracks, allTracks);\n }\n const selectedTwo = [allTracks[0], allTracks[1]];\n renderCombined(selectedTwo, allTracks);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('aggregate-complete'));\n }\n });\n\n btnEvolution?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('evolution');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n const onSelectCb = (trackId: string, range: [number, number] | null) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n };\n\n // Exercise evolution view across different reference tracks, groupings ('month' & 'week'), time ranges, and pinned durations\n const refTracks = [allTracks[2] || primaryTrack, allTracks[4] || primaryTrack, primaryTrack];\n for (const refTrk of refTracks) {\n renderEvolution(refTrk, allTracks, onSelectCb);\n setEvolutionGrouping('month');\n for (const rng of ['1m', '2m', '6m', '1y', 'all']) {\n setEvolutionRange(rng);\n }\n setEvolutionGrouping('week');\n for (const dur of [5, 30, 60, 300, 1200, null]) {\n setEvolutionPinnedDuration(dur);\n }\n }\n } finally {\n window.dispatchEvent(new CustomEvent('evolution-complete'));\n }\n });\n\n btnCourses?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('courses');\n prepareBenchmarkCourses(allTracks);\n const courseIds = getBenchmarkCourseIds();\n for (const cId of courseIds) {\n selectCourse(cId, true);\n }\n selectCourse('course-1', true);\n } finally {\n window.dispatchEvent(new CustomEvent('courses-complete'));\n }\n });\n\n (window as any).benchmarkSteps = {\n loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(),\n displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(),\n displayInsights: () => document.getElementById('btn-step-insights')?.click(),\n displayDetails: () => document.getElementById('btn-step-details')?.click(),\n displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(),\n displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(),\n displayCourses: () => document.getElementById('btn-step-courses')?.click(),\n };\n}\n\nasync function processAndLoadTrack(t: TrackData) {\n // Migration: re-calculate stats if new insights are missing or old format\n const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : [];\n\n const needsEnrich =\n t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined);\n\n const needsRecalc =\n needsEnrich ||\n !t.stats.powerCurve ||\n !t.stats.hrZones ||\n !t.stats.hrCurve ||\n t.stats.shifts === undefined ||\n t.stats.avgBattery === undefined ||\n t.stats.avgTemp === undefined ||\n (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') ||\n ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]);\n\n if (needsRecalc) {\n if (needsEnrich) t.points = Parsers.enrichPoints(t.points);\n t.stats = Parsers.computeStats(t.points);\n await Storage.save(t);\n }\n\n tracks[t.id] = t;\n colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1);\n MapView.addTrack(t);\n MapView.setTrackVisible(t.id, t.visible && !t._filtered);\n renderTrackList(); // Progressive list update\n}\n\nfunction initResizeHandle() {\n const handle = document.getElementById('resize-handle');\n const panel = document.getElementById('chart-panel');\n if (!handle || !panel) return;\n\n let isDragging = false;\n\n handle.addEventListener('mousedown', () => {\n isDragging = true;\n document.body.style.cursor = 'ns-resize';\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const h = window.innerHeight - e.clientY;\n const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h));\n panel.style.height = `${clampedH}px`;\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n document.body.style.cursor = '';\n });\n}\n\nfunction initSidebarResizer() {\n const resizer = document.getElementById('sidebar-resizer');\n const sidebar = document.getElementById('sidebar');\n if (!resizer || !sidebar) return;\n\n let isDragging = false;\n\n resizer.addEventListener('mousedown', () => {\n isDragging = true;\n resizer.classList.add('dragging');\n document.body.classList.add('dragging-sidebar');\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const w = e.clientX;\n const clampedW = Math.max(200, Math.min(600, w));\n sidebar.style.width = `${clampedW}px`;\n sidebar.style.setProperty('--sidebar-w', `${clampedW}px`);\n ChartView.resize();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n resizer.classList.remove('dragging');\n document.body.classList.remove('dragging-sidebar');\n });\n}\n\n// \u2500\u2500 Event Handlers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nfunction onMapMove(lat: number, lng: number, zoom: number) {\n UrlState.patch({ map_pos: [lat, lng, zoom] });\n}\n\nfunction onMapPointClick(id: string, idx: number) {\n selectTrack(id, false);\n ChartView.setCursorAt(idx);\n}\n\nfunction onMapDblClick() {\n // MapView.fitAll();\n}\n\nfunction onChartCursorMove(pt: TrackPoint | null) {\n if (pt && pt.lat != null && pt.lon != null) {\n MapView.showCursorAt(pt.lat, pt.lon);\n if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true);\n } else {\n MapView.hideCursor();\n }\n}\n\nfunction onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) {\n if (!selectedId || !tracks[selectedId]) return;\n const t = tracks[selectedId];\n\n if (min === null || max === null) {\n MapView.clearHighlight();\n if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n UrlState.patch({ sel: null });\n return;\n }\n\n // Find point indices\n const pts = t.points;\n let iMin = 0,\n iMax = pts.length - 1;\n\n if (axis === 'distance') {\n const d0 = min * 1000,\n d1 = max * 1000;\n iMin = pts.findIndex((p) => (p.dist || 0) >= d0);\n iMax = pts.findIndex((p) => (p.dist || 0) >= d1);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const ts0 = t0 + min * 1000,\n ts1 = t0 + max * 1000;\n iMin = pts.findIndex((p) => (p.time || 0) >= ts0);\n iMax = pts.findIndex((p) => (p.time || 0) >= ts1);\n }\n\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = pts.length - 1;\n\n // Compute selection stats\n const selPts = pts.slice(iMin, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n\n MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n UrlState.patch({ sel: [min, max] });\n}\n\nfunction onChartClick(pt: TrackPoint, idx: number) {\n if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL);\n}\n\nexport function selectTrack(id: string, fit = true, deferChartRender = false) {\n if (!tracks[id]) return;\n if (id === selectedId) {\n if (fit) MapView.fitTrack(id);\n return;\n }\n\n const hadSelected = selectedId !== null;\n if (hadSelected) {\n // Clear current views immediately before loading new data\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n }\n\n selectedId = id;\n\n // Fully reset metric coloring when switching tracks\n currentMapColors = null;\n MapView.clearMetricColor(id);\n if (hadSelected) {\n ChartView.toggleMapColor(null); // Ensure ChartView state also resets\n }\n\n // Clear selection on new track\n UrlState.patch({ track: id, sel: null }, true);\n if (hadSelected) {\n ChartView.cancelSelection();\n }\n\n // Update UI immediately\n renderTrackList();\n\n // Render details\n const activeTab = UrlState.get().tab || 'graphs';\n if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags());\n if (activeTab === 'insights') renderInsights(tracks[id]);\n if (activeTab === 'combined') renderCombined(tracks[id]);\n if (activeTab === 'courses') renderCourses();\n if (activeTab === 'evolution') {\n renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n\n // Tell sub-views\n MapView.setSelectedTrack(id, fit);\n if (fit) MapView.fitTrack(id);\n ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender);\n}\n\nasync function deleteTrack(id: string) {\n await Storage.remove(id);\n MapView.removeTrack(id);\n delete tracks[id];\n if (selectedId === id) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n UrlState.patch({ track: null, sel: null, sel_point: null });\n }\n applyFilters();\n}\n\nasync function clearAll() {\n const code = Math.floor(10 + Math.random() * 90).toString();\n\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n backdrop.innerHTML = `\n
\n
Delete all tracks?
\n
\n This will permanently remove all tracks from your browser storage. This action cannot be undone.\n
\n
\n
Enter \"${code}\" to confirm:
\n \n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const input = backdrop.querySelector('.modal-input') as HTMLInputElement;\n const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement;\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n\n input.focus();\n\n input.addEventListener('input', () => {\n btnConfirm.disabled = input.value !== code;\n });\n\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n\n btnConfirm.addEventListener('click', async () => {\n if (input.value !== code) return;\n close();\n\n cancelProcessing = true;\n await Storage.clear();\n\n tracks = {};\n selectedId = null;\n MapView.clearHighlight();\n window.location.reload();\n });\n}\n\nfunction applyFilters(skipRender = false) {\n const ids = Object.keys(tracks);\n ids.forEach((id) => {\n const t = tracks[id];\n const s = t.stats;\n let visible = true;\n\n // Search query\n if (searchQuery) {\n if (searchRegex) {\n try {\n const re = new RegExp(searchQuery, 'i');\n if (!re.test(t.name)) visible = false;\n } catch (e) {\n visible = false;\n }\n } else {\n if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false;\n }\n }\n\n // Date filter\n if (visible && (filters.date[0] || filters.date[1])) {\n const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0;\n const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity;\n const t0 = s.startTime || 0;\n if (t0 < start || t0 > end) visible = false;\n }\n\n // Distance filter\n if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) {\n const min = (filters.dist[0] || 0) * 1000;\n const max = (filters.dist[1] || Infinity) * 1000;\n if (s.totalDist < min || s.totalDist > max) visible = false;\n }\n\n // Duration filter\n if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) {\n const min = (filters.dur[0] || 0) * 60000;\n const max = (filters.dur[1] || Infinity) * 60000;\n const d = s.duration || 0;\n if (d < min || d > max) visible = false;\n }\n\n // Metrics filter\n if (visible && filters.metrics.size > 0) {\n for (const m of filters.metrics) {\n const field = ChartView.METRICS[m].field;\n if (!t.points.some((p: any) => p[field] != null)) {\n visible = false;\n break;\n }\n }\n }\n\n // Sport filter\n if (visible && filters.sport) {\n if (t.sport !== filters.sport) visible = false;\n }\n\n // Tags filter\n if (visible && filters.tags.length > 0) {\n const trackTags = t.tags || [];\n if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false;\n }\n\n t._filtered = !visible;\n MapView.setTrackVisible(t.id, t.visible && visible);\n });\n\n if (!skipRender) renderTrackList();\n}\n\nfunction updateFilterUI() {\n (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || '';\n (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || '';\n (document.getElementById('filter-dist-min') as HTMLInputElement).value =\n filters.dist[0] !== null ? String(filters.dist[0]) : '';\n (document.getElementById('filter-dist-max') as HTMLInputElement).value =\n filters.dist[1] !== null ? String(filters.dist[1]) : '';\n (document.getElementById('filter-dur-min') as HTMLInputElement).value =\n filters.dur[0] !== null ? String(filters.dur[0]) : '';\n (document.getElementById('filter-dur-max') as HTMLInputElement).value =\n filters.dur[1] !== null ? String(filters.dur[1]) : '';\n (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', ');\n\n document\n .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item')\n .forEach((el) => {\n const item = el as HTMLElement;\n item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || ''));\n });\n\n document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => {\n const btn = el as HTMLElement;\n btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!));\n });\n\n const activeCount =\n (filters.date[0] ? 1 : 0) +\n (filters.date[1] ? 1 : 0) +\n (filters.dist[0] !== null ? 1 : 0) +\n (filters.dist[1] !== null ? 1 : 0) +\n (filters.dur[0] !== null ? 1 : 0) +\n (filters.dur[1] !== null ? 1 : 0) +\n filters.metrics.size +\n (filters.tags.length > 0 ? 1 : 0);\n\n const badge = document.querySelector('#btn-toggle-filters .btn-badge');\n if (badge) {\n badge.textContent = activeCount > 0 ? String(activeCount) : '';\n badge.classList.toggle('hidden', activeCount === 0);\n }\n}\n\nfunction updateSearchSortUI() {\n const searchInput = document.getElementById('track-search') as HTMLInputElement;\n if (searchInput) searchInput.value = searchQuery;\n document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex);\n\n const opt = SORT_OPTIONS.find((o) => o.val === currentSort);\n if (opt) {\n const labelEl = document.getElementById('sort-current-label');\n const iconEl = document.getElementById('sort-current-icon');\n if (labelEl)\n labelEl.textContent = opt.label\n .replace(' first', '')\n .replace(' distance', '')\n .replace(' duration', '');\n if (iconEl) iconEl.textContent = opt.icon;\n }\n}\n\nfunction applyState(urlState: AppState) {\n // Restore track\n const newTrackId = urlState.track;\n if (newTrackId !== selectedId) {\n if (newTrackId && tracks[newTrackId]) {\n selectTrack(newTrackId, true);\n } else if (!newTrackId && selectedId) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n renderTrackList();\n MapView.fitAll();\n }\n }\n\n // Restore basemap\n if (urlState.map && typeof urlState.map === 'string') {\n MapView.switchBasemap(urlState.map);\n document\n .querySelectorAll('.bm-btn')\n .forEach((b) =>\n b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map),\n );\n }\n\n // Restore map position\n if (urlState.map_pos) {\n const [lat, lng, zoom] = urlState.map_pos;\n MapView.setPosition(lat, lng, zoom);\n }\n\n // Restore tab\n if (urlState.tab) {\n document.querySelectorAll('.tab-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n if (b.dataset.tab === urlState.tab) {\n if (!b.classList.contains('active')) b.click();\n }\n });\n }\n\n // Restore x-axis mode\n if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis);\n\n const currentXAxis = urlState.xaxis || 'time';\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis));\n\n // Restore active metrics\n if (urlState.metrics) {\n const metrics = ChartView.METRICS;\n const keys = urlState.metrics\n .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr))\n .filter((k): k is string => k !== undefined);\n if (keys.length) ChartView.setActiveMetrics(keys);\n }\n\n // Restore filters\n if (urlState.f_date)\n filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null];\n if (urlState.f_dist)\n filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_dur)\n filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets);\n if (urlState.f_tags) filters.tags = urlState.f_tags;\n\n updateFilterUI();\n\n if (urlState.q) searchQuery = urlState.q;\n if (urlState.re) searchRegex = urlState.re;\n if (urlState.sort) currentSort = urlState.sort;\n updateSearchSortUI();\n\n applyFilters();\n}\n\nfunction updateSportFilterOptions() {\n const container = document.getElementById('sport-filter-container');\n if (!container) return;\n\n const commonContainer = document.getElementById('common-sports');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n if (!commonContainer || !dropdownContent) return;\n\n const sports = new Set();\n Object.values(tracks).forEach((t) => {\n if (t.sport) sports.add(t.sport);\n });\n\n const sportsArray = Array.from(sports).sort();\n const burgerDropdown = document.getElementById('sport-burger-dropdown');\n\n commonContainer.innerHTML = '';\n dropdownContent.innerHTML = '';\n\n if (sportsArray.length <= 4) {\n if (burgerDropdown) burgerDropdown.style.display = 'none';\n\n sportsArray.forEach((sport) => {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n });\n } else {\n if (burgerDropdown) burgerDropdown.style.display = 'inline-block';\n\n const commonSports = ['running', 'cycling', 'walking'];\n\n commonSports.forEach((sport) => {\n if (sports.has(sport)) {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n }\n });\n\n sportsArray.forEach((sport) => {\n const item = document.createElement('div');\n item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`;\n item.dataset.sport = sport;\n item.style.padding = '8px';\n item.style.cursor = 'pointer';\n item.style.display = 'flex';\n item.style.alignItems = 'center';\n item.style.gap = '8px';\n item.innerHTML = `\n ${getSportIcon(sport)}\n ${sport.charAt(0).toUpperCase() + sport.slice(1)}\n `;\n dropdownContent.appendChild(item);\n });\n }\n}\n\nfunction renderTrackList() {\n updateSportFilterOptions();\n const list = document.getElementById('track-list');\n const emptyEl = document.getElementById('track-list-empty') as HTMLElement;\n const headerLabel = document.querySelector('.section-label');\n if (!list) return;\n\n const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered);\n if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`;\n\n if (!ids.length) {\n list.innerHTML = '';\n if (emptyEl) {\n list.appendChild(emptyEl);\n emptyEl.style.display = 'block';\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n list.innerHTML = '';\n\n ids\n .sort((a, b) => {\n // Current selected always first\n if (a === selectedId) return -1;\n if (b === selectedId) return 1;\n\n const ta = tracks[a],\n tb = tracks[b];\n const sa = ta.stats,\n sb = tb.stats;\n\n let cmp = 0;\n switch (currentSort) {\n case 'date-asc':\n cmp = (sa.startTime || 0) - (sb.startTime || 0);\n break;\n case 'date-desc':\n cmp = (sb.startTime || 0) - (sa.startTime || 0);\n break;\n case 'dist-asc':\n cmp = (sa.totalDist || 0) - (sb.totalDist || 0);\n break;\n case 'dist-desc':\n cmp = (sb.totalDist || 0) - (sa.totalDist || 0);\n break;\n case 'dur-asc':\n cmp = (sa.duration || 0) - (sb.duration || 0);\n break;\n case 'dur-desc':\n cmp = (sb.duration || 0) - (sa.duration || 0);\n break;\n default:\n cmp = 0;\n }\n return cmp || a.localeCompare(b);\n })\n .forEach((id) => {\n list.appendChild(buildTrackItem(tracks[id]));\n });\n}\n\nfunction getGlobalTags(): string[] {\n const all = new Set();\n Object.values(tracks).forEach((t) => {\n (t.tags || []).forEach((tag) => all.add(tag));\n });\n return Array.from(all).sort();\n}\n\nfunction getSportIcon(sport: string | null): string {\n if (!sport) return 'category';\n const s = sport.toLowerCase();\n if (s.includes('run')) return 'directions_run';\n if (s.includes('cycl') || s.includes('bike')) return 'directions_bike';\n if (s.includes('walk')) return 'directions_walk';\n if (s.includes('swim')) return 'pool';\n if (s.includes('hik')) return 'hiking';\n return 'sports';\n}\n\nfunction buildTrackItem(track: TrackData) {\n const item = document.createElement('div');\n item.className = `track-item${track.id === selectedId ? ' selected' : ''}`;\n item.dataset.id = track.id;\n\n const date =\n track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date';\n\n const tagsHtml =\n (track.tags || []).length > 0\n ? `
${(track.tags || [])\n .map((t) => {\n const c = getTagColor(t);\n return `${escHtml(t)}`;\n })\n .join('')}
`\n : '';\n\n item.innerHTML = `\n
\n
\n
${escHtml(track.displayName || track.name)}
\n
\n
\n ${date}\n ${Math.round(track.stats.totalDist / 1000)} km\n ${track.sport ? `${getSportIcon(track.sport)}` : ''}\n ${track.format.toUpperCase()}\n
\n \n
\n ${tagsHtml}\n
\n `;\n\n item.addEventListener('click', (e) => {\n if ((e.target as HTMLElement).closest('.icon-btn')) return;\n selectTrack(track.id);\n });\n\n const btnVis = item.querySelector('.toggle-vis') as HTMLElement;\n btnVis.addEventListener('click', () => {\n track.visible = !track.visible;\n btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible\n ? 'visibility'\n : 'visibility_off';\n MapView.setTrackVisible(track.id, track.visible);\n Storage.save(track);\n });\n\n return item;\n}\n\nfunction showToast(msg: string, type: 'info' | 'error' = 'info') {\n const container = document.getElementById('toast-container');\n if (!container) return;\n container.innerHTML = '';\n const t = document.createElement('div');\n t.className = `toast ${type}`;\n t.textContent = msg;\n container.appendChild(t);\n}\n\nfunction showSkippedImportsModal() {\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n let listHtml = '';\n skippedImports.forEach((s) => {\n listHtml += `
${s.name}: ${s.reason}
`;\n });\n\n backdrop.innerHTML = `\n
\n
Skipped Imports
\n
\n ${listHtml || '
No skipped imports.
'}\n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n const btnClear = backdrop.querySelector('.modal-btn.clear') as HTMLButtonElement;\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n btnClear.addEventListener('click', () => {\n skippedImports = [];\n close();\n const importWarning = document.getElementById('import-warning');\n if (importWarning) importWarning.classList.add('hidden');\n });\n\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n}\n\nfunction initDropZone() {\n const zone = document.getElementById('drop-zone');\n if (!zone) return;\n\n const importWarning = document.getElementById('import-warning');\n if (importWarning) {\n importWarning.addEventListener('click', (e) => {\n e.stopPropagation();\n showSkippedImportsModal();\n });\n }\n\n window.addEventListener('dragover', (e) => {\n e.preventDefault();\n zone.classList.add('drop-active');\n });\n\n window.addEventListener('dragleave', (e) => {\n if (e.relatedTarget === null) zone.classList.remove('drop-active');\n });\n\n window.addEventListener('drop', async (e) => {\n e.preventDefault();\n zone.classList.remove('drop-active');\n\n const items = e.dataTransfer?.items;\n if (!items) return;\n\n const files: File[] = [];\n const queue: FileSystemEntry[] = [];\n\n for (let i = 0; i < items.length; i++) {\n const entry = items[i].webkitGetAsEntry();\n if (entry) queue.push(entry);\n }\n\n async function readAllEntries(entry: FileSystemEntry) {\n if (entry.isFile) {\n const file = await new Promise((res) => (entry as FileSystemFileEntry).file(res));\n files.push(file);\n } else if (entry.isDirectory) {\n const reader = (entry as FileSystemDirectoryEntry).createReader();\n let entries: FileSystemEntry[] = [];\n let chunk: FileSystemEntry[];\n do {\n chunk = await new Promise((res) => reader.readEntries(res));\n entries.push(...chunk);\n } while (chunk.length > 0);\n\n for (const child of entries) await readAllEntries(child);\n }\n }\n\n for (const entry of queue) await readAllEntries(entry);\n\n if (files.length) handleFiles(files);\n });\n}\n\nasync function handleFiles(files: File[]) {\n if (!files.length) return;\n cancelProcessing = false;\n const initialSkipCount = skippedImports.length;\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const loaderClose = document.getElementById('loader-close');\n\n if (loaderClose) {\n loaderClose.addEventListener('click', () => {\n cancelProcessing = true;\n if (loader) loader.classList.add('hidden');\n });\n }\n\n function updateLoaderIconToWarning() {\n const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement;\n if (loaderIcon) {\n loaderIcon.textContent = 'warning';\n loaderIcon.style.color = '#f59e0b';\n }\n const warningCount = document.getElementById('loader-warning-count');\n if (warningCount) {\n const count = skippedImports.length - initialSkipCount;\n const countSpan = warningCount.querySelector('span');\n if (countSpan) countSpan.textContent = `${count}`;\n warningCount.style.display = 'flex';\n }\n }\n\n if (loader) {\n if (loaderText)\n loaderText.textContent = `Importing ${files.length} file${files.length > 1 ? 's' : ''}`;\n const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement;\n if (loaderIcon) {\n loaderIcon.textContent = 'download';\n loaderIcon.style.color = 'var(--accent)';\n }\n const warningCount = document.getElementById('loader-warning-count');\n if (warningCount) {\n warningCount.style.display = 'none';\n const countSpan = warningCount.querySelector('span');\n if (countSpan) countSpan.textContent = '0';\n }\n if (loaderSubtext) loaderSubtext.textContent = '';\n if (progressBar) progressBar.style.width = '0%';\n loader.classList.remove('hidden');\n\n if (skippedImports.length > initialSkipCount) updateLoaderIconToWarning();\n }\n\n try {\n let count = 0;\n let firstId: string | null = null;\n let processedSinceLastUpdate = 0;\n\n // Filter out obviously invalid files early\n const validFiles = files.filter((f) => {\n const name = f.name.toLowerCase();\n return (\n name.endsWith('.gpx') ||\n name.endsWith('.fit') ||\n name.endsWith('.tcx') ||\n name.endsWith('.kml')\n );\n });\n\n const invalidFiles = files.filter((f) => !validFiles.includes(f));\n invalidFiles.forEach((f) => {\n skippedImports.push({ name: f.name, reason: 'Unsupported file format' });\n });\n\n if (validFiles.length === 0) {\n if (files.length > 0) {\n showToast('No valid GPS files found', 'error');\n // Still update warning icon if there were invalid files!\n const importWarning = document.getElementById('import-warning');\n if (importWarning && skippedImports.length > 0) {\n importWarning.classList.remove('hidden');\n importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`;\n }\n }\n return;\n }\n\n const loaderFilename = document.getElementById('loader-filename');\n let progressIdxEl: HTMLElement | null = null;\n if (loaderSubtext) {\n loaderSubtext.innerHTML =\n '';\n progressIdxEl = loaderSubtext.querySelector('.progress-index') as HTMLElement | null;\n const totalEl = loaderSubtext.querySelector('.progress-total');\n if (totalEl) totalEl.textContent = validFiles.length.toString();\n }\n\n for (let i = 0; i < validFiles.length; i++) {\n if (cancelProcessing) break;\n const f = validFiles[i];\n if (loaderFilename) loaderFilename.textContent = f.name;\n if (progressIdxEl) progressIdxEl.textContent = (i + 1).toString();\n if (progressBar) progressBar.style.width = `${(i / validFiles.length) * 100}%`;\n\n try {\n const data = await Parsers.parseFile(f);\n\n // Duplicate checks\n const existingTracks = Object.values(tracks);\n\n // Rule 1: Same file and same size\n const sameFile = existingTracks.find((t) => t.fileName === f.name && t.fileSize === f.size);\n if (sameFile) {\n skippedImports.push({ name: f.name, reason: 'Same File' });\n updateLoaderIconToWarning();\n continue;\n }\n\n // Rule 2 & 3: Same start day checks\n const newStart = data.stats.startTime;\n const newDuration = data.stats.duration;\n\n if (newStart != null && newDuration != null) {\n const newEnd = newStart + newDuration;\n const sameDayTracks = existingTracks.filter(\n (t) => t.stats.startTime != null && isSameDay(newStart, t.stats.startTime!),\n );\n\n let discarded = false;\n for (const ext of sameDayTracks) {\n const extStart = ext.stats.startTime!;\n const extDuration = ext.stats.duration!;\n const extEnd = extStart + extDuration;\n\n // Rule 2: Fully contained\n if (newStart >= extStart && newEnd <= extEnd) {\n skippedImports.push({ name: f.name, reason: 'Fully contained in another track' });\n updateLoaderIconToWarning();\n discarded = true;\n break;\n }\n\n // Rule 3: Overlaps for > 10 mins\n const overlap = Math.min(newEnd, extEnd) - Math.max(newStart, extStart);\n if (overlap > 600000) {\n // 10 mins in ms\n skippedImports.push({\n name: f.name,\n reason: 'Overlaps with an existing track for more than 10 mins',\n });\n updateLoaderIconToWarning();\n discarded = true;\n break;\n }\n }\n if (discarded) continue;\n }\n\n const fallbackTime = 1785542400000;\n let id = compactId(data.stats.startTime || fallbackTime);\n if (tracks[id]) id += `-${shortRandom()}`;\n\n // Use filename as activity name if internal name is generic\n let trackName = data.name;\n if (trackName.startsWith('Unnamed') || trackName.startsWith('Fit Activity'))\n trackName = f.name;\n\n // Generate a nice display name\n let displayName = trackName;\n const t0 = data.points[0]?.time;\n const sport = data.sport\n ? data.sport.charAt(0).toUpperCase() + data.sport.slice(1)\n : 'Activity';\n if (t0) {\n const d = new Date(t0);\n displayName = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')} ${sport}`;\n } else {\n displayName = trackName.replace(/\\.[^/.]+$/, '').replace(/_/g, ' '); // Remove extension and replace underscores\n }\n\n const track: TrackData = {\n ...data,\n id,\n name: trackName,\n displayName,\n fileName: f.name,\n fileSize: f.size,\n bounds: calculateBounds(data.points) || undefined,\n simplifiedPoints: simplifyTrack(data.points, 50), // 50m resolution\n addedAt: data.stats.startTime || fallbackTime,\n visible: true,\n color: TRACK_COLORS[colorIdx % TRACK_COLORS.length],\n };\n colorIdx++;\n if (cancelProcessing) break;\n\n await Storage.save(track);\n tracks[id] = track;\n MapView.addTrack(track);\n if (!firstId) firstId = id;\n count++;\n processedSinceLastUpdate++;\n\n if (processedSinceLastUpdate >= 5) {\n processedSinceLastUpdate = 0;\n }\n } catch (err) {\n skippedImports.push({\n name: f.name,\n reason: `Parse error: ${err instanceof Error ? err.message : String(err)}`,\n });\n updateLoaderIconToWarning();\n }\n }\n\n // Update warning icon\n const importWarning = document.getElementById('import-warning');\n if (importWarning) {\n if (skippedImports.length > 0) {\n importWarning.classList.remove('hidden');\n importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`;\n } else {\n importWarning.classList.add('hidden');\n }\n }\n\n const newWarnings = skippedImports.length > initialSkipCount;\n if (!newWarnings && loader) {\n loader.classList.add('hidden');\n }\n\n if (count > 0) {\n showToast(`Imported ${count} track${count > 1 ? 's' : ''}`);\n applyFilters(!!firstId && firstId !== selectedId);\n if (firstId) selectTrack(firstId);\n }\n\n if (newWarnings) {\n const loaderIcon = document.querySelector('.loader-icon-wrap span');\n if (loaderIcon) loaderIcon.textContent = 'warning';\n // Delay hiding loader to let user see the alert icon\n await new Promise((r) => setTimeout(r, 1500));\n }\n } finally {\n if (loader) loader.classList.add('hidden');\n }\n}\n\nfunction initMetricPillDraggable() {\n const container = document.getElementById('metric-pills');\n if (!container) return;\n\n let draggedEl: HTMLElement | null = null;\n\n container.addEventListener('dragstart', (e) => {\n const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (!target) return;\n draggedEl = target;\n e.dataTransfer!.effectAllowed = 'move';\n target.classList.add('dragging-pill');\n // For transparent background in ghost image\n setTimeout(() => (target.style.opacity = '0.4'), 0);\n });\n\n container.addEventListener('dragover', (e) => {\n e.preventDefault();\n e.dataTransfer!.dropEffect = 'move';\n const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (target && target !== draggedEl) {\n const rect = target.getBoundingClientRect();\n const next = e.clientX - rect.left > rect.width / 2;\n container.insertBefore(draggedEl!, next ? target.nextSibling : target);\n }\n });\n\n container.addEventListener('dragend', () => {\n if (!draggedEl) return;\n draggedEl.classList.remove('dragging-pill');\n draggedEl.style.opacity = '';\n draggedEl = null;\n\n // Update Chart order\n const keys = Array.from(container.querySelectorAll('.metric-pill')).map(\n (el) => (el as HTMLElement).dataset.metric!,\n );\n ChartView.updateMetricOrder(keys);\n syncMetricsToUrl();\n });\n}\n\nfunction updateToolbarLayout() {\n const toolbar = document.getElementById('chart-toolbar');\n const pills = document.getElementById('metric-pills');\n if (!toolbar || !pills) return;\n\n toolbar.classList.remove('collapsed');\n const availableW = Math.max(0, toolbar.clientWidth - 280);\n let totalW = 0;\n let hidden = false;\n\n Array.from(pills.children).forEach((el) => {\n const htmlEl = el as HTMLElement;\n if (htmlEl.id === 'pill-overflow') return;\n\n htmlEl.classList.remove('overflow-hidden');\n if (!htmlEl.classList.contains('active')) return;\n const metricKey = htmlEl.dataset.metric || '';\n const deterministicPillWidth = 36 + metricKey.length * 6;\n totalW += deterministicPillWidth + 6;\n\n if (totalW > availableW) {\n hidden = true;\n htmlEl.classList.add('overflow-hidden');\n }\n });\n\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.toggle('hidden', !hidden);\n\n if (hidden) toolbar.classList.add('collapsed');\n}\n\ndocument.addEventListener('DOMContentLoaded', init);\n"], - "mappings": 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"avgY", "minLabelY", "maxLabelY", "labelHeight", "countLower", "countHigher", "pLower", "pHigher", "font8", "textY", "fontB10", "midX", "getBinAt", "lineEl", "relY", "rawI", "count", "pct", "low", "high", "zoneHtml", "mid", "zones", "Zones", "zIdx", "z", "finalZIdx", "totalAccum", "totalPct", "html", "stotalAccum", "stotalPct", "ttH", "ttW", "binCenterY", "sum", "n", "gain", "loss", "prevEle", "isDist", "diff", "cx", "gColor", "g", "p0", "p1", "content", "front", "rear", "color44", "gradientColorRgbaCache", "gradientColorRgba", "c", "yMin", "yMax", "xScale", "yScale", "yBase", "idxs", "iStart", "iEnd", "byColor", "prevIdx", "xv1", "xv0", "x0", "y0", "x1", "y1", "color", "segs", "j", "drawHoverLine", "xVal", "opacity", "skipLine", "distVal", "timeVal", "bottomLabel", "topLabel", "drawPill", "text", "y", "isTop", "rx", "clampedRx", "ry", "pillH", "yVal", "cyClamp", "drawAreaFillAbove", "yDir", "yMult", "inSegment", "hasAnySegment", "lastPx", "xv", "yv", "px", "py", "ah", "ar", "ag", "ab", "br", "bg", "rr", "rg", "rb", "absG", "kmh", "windowMetres", "grads", "j0", "j1", "data", "res", "right", "getAvg", "avgSpeed", "avgPower", "avgCadence", "INTERVAL_CAP", "ivPwr", "ivHr", "ivSpd", "ivEle", "ivCad", "ivSmoothed", "ivKdeBins", "intervalWindows", "analyzeTelemetryIntervals", "tracksList", "selStartSec", "selEndSec", "intervalScore", "ti", "sStart", "sEnd", "inv35", "invSigmaSq", "omega", "sgPwr", "sgHr", "sgSpd", "dP", "gauss", "harmonic", "sectionRanges", "si", "secStart", "secEnd", "secLen", "wi", "invW", "winSum", "winEle", "maxInterval", "avg", "norm", "newActive", "isStepped", "drawBackgroundTracks", "GAP_THRESHOLD", "field", "first", "prevP", "prevXVal", "lastFrontGear", "fMin", "fMax", "fg", "rMin", "rMax", "isTimeAxis", "gapSec", "prevDrawnI", "prevX", "prevY", "segmentColor", "prevXv", "SENSOR_ICONS", "Metrics", "onTagsChangeCb", "onDeleteTrackCb", "initDetails", "onTagsChange", "onDeleteTrack", "resetDetails", "container", "DETAIL_CAP", "detailChannels", "stabilityWindows", "analyzeTrackDetails", "track", "allTracks", "pts", "n", "stabilityAccum", "i", "p", "wi", "w", "invW", "halfW", "ci", "ch", "sum", "sumSq", "autoCov", "jitterSum", "invNoise", "v", "old", "mean", "variance", "lagVal", "diff", "diffSqNoise", "likelihood", "damp", "sections", "Parsers", "splitRows", "si", "sec", "st", "secPtsCount", "secJitter", "dp", "dh", "secStab", "fmtSecs", "gearMap", "fg", "rg", "key", "entry", "gearMatrix", "a", "b", "combo", "g", "cohort", "distRank", "pwrRank", "elevRank", "cohortPwrSum", "cohortDistSum", "ti", "peer", "cohortAvgPower", "cohortAvgDistKm", "renderDetails", "globalTags", "sectionRange", "activeTrack", "t0Base", "ts0", "ts1", "iMin", "iMax", "subPts", "subStats", "s", "t0", "detailAnalysis", "telemetryStabilityPct", "escHtml", "t", "fmtFileSize", "getSportIcon", "SPORTS", "fmtDateTime", "sensor", "gm", "sr", "seen", "d", "name", "manufacturer", "extra", "battery", "sourceIcon", "deviceIcon", "nameLower", "tagContainer", "tagInput", "addBtn", "renderTags", "tags", "tag", "c", "getTagColor", "el", "btn", "e", "Storage", "addTag", "val", "titleInput", "sportTrigger", "showSportMenu", "anchorEl", "popup", "def", "item", "isActive", "iconEl", "nameEl", "clearItem", "isClear", "rect", "closeHandler", "uPlot", "courses", "getCoursesForTrack", "track", "c", "pt", "passesPoint", "trackPt", "haversine", "activeCourseId", "isEditMode", "openCourseId", "toastFn", "courseLayer", "initCourses", "showToast", "toastFn", "loadCourses", "resetCourses", "courses", "activeCourseId", "openCourseId", "isEditMode", "container", "prepareBenchmarkCourses", "allTracks", "specs", "i", "spec", "t", "n", "pStart", "pMid", "pEnd", "getBenchmarkCourseIds", "c", "stored", "Storage", "e", "saveCourses", "calculateCourseDistance", "course", "total", "p1", "p2", "haversine", "findCourseRange", "track", "coursePoints", "currentPtIdx", "startIdx", "endIdx", "tp", "cp", "calculateCourseStats", "pts", "s", "startTime", "duration", "totalPower", "powerCount", "totalHR", "hrCount", "totalSpeed", "speedCount", "totalCadence", "cadenceCount", "totalAscent", "prev", "de", "dist", "formatDuration", "seconds", "h", "m", "renderCourseTableHeaders", "METRICS", "renderCourseTableCells", "stats", "sport", "dateStr", "paceUnit", "SPORTS", "paceStr", "paceSeconds", "fmtPace", "COURSE_CAP", "courseTrkLats", "courseTrkLons", "courseTrkPwrs", "courseGateLats", "courseGateLons", "DTW_SAMPLES", "DTW_BAND", "dtwRefProfile", "dtwCandProfile", "dtwPrevRow", "dtwCurrRow", "renderCourses", "corridorDeviationSum", "targetCourses", "candidateIds", "MapView", "p", "numGates", "g", "segFloat", "segIdx", "frac", "pA", "pB", "ci", "id", "pt", "gLat", "gLon", "minDist", "bestIdx", "d", "idx", "val", "jStart", "jEnd", "rVal", "j", "diff", "diffSq", "cost", "m1", "m2", "m3", "prevMin", "matchingIds", "isOpen", "tracksHtml", "matchedTracksWithStats", "range", "span", "q1Idx", "q2Idx", "q3Idx", "s1Stats", "s2Stats", "s3Stats", "s4Stats", "fmtDate", "a", "b", "UrlState", "escHtml", "createNewCourse", "el", "editCourse", "renameCourse", "deleteCourse", "selectCourse", "row", "trackId", "selectTrack", "t0", "sIdx", "eIdx", "tMin", "tMax", "axis", "ChartView", "selMin", "selMax", "name", "newCourse", "nameEl", "currentName", "input", "save", "newName", "clearCourseLayer", "courseLayer", "selectCourse", "id", "open", "activeCourseId", "openCourseId", "isEditMode", "MapView", "clearCourseLayer", "renderCourses", "deleteCourse", "courses", "c", "saveCourses", "toastFn", "insightPlots", "destroyInsightPlots", "p", "initInsights", "showToast", "resetInsights", "el", "container", "INSIGHT_CAP", "inPwrArr", "inHrArr", "inCadArr", "inSpdArr", "inVamArr", "inPrefixPwr", "inPrefixVam", "mmpDurations", "analyzeTrackPhysiology", "pts", "cpBase", "sections", "n", "i", "pt", "h", "c", "sp", "gr", "vam", "envelopeChecksum", "di", "d", "limit", "maxP", "maxV", "j", "sumP", "sumV", "minWPrimeBal", "wBal", "matchesBurned", "inMatchBurn", "half", "efSum1", "efSum2", "qCounts", "thresholdCad", "thresholdTorque", "cad", "invH", "diff", "dcp", "dep", "tauDyn", "torque", "ef", "ef1", "ef2", "decouplingPct", "quadrantPct", "sectionPeaks", "sec", "st", "durHours", "renderInsights", "track", "allTracks", "sectionRange", "Parsers", "activeRange", "UrlState", "activePts", "s", "t0", "startMs", "endMs", "iMin", "iMax", "phys", "grid", "chartWidth", "renderCurveCard", "Metrics", "card", "metricKey", "color", "isMapColored", "ChartView", "totalTime", "a", "b", "zones", "Zones", "zonesHtml", "time", "z", "pct", "rangeText", "fmtSecs", "e", "current", "btn", "showPowerZoneSettings", "showHRZoneSettings", "climbingCard", "distKm", "grade", "effCard", "secCard", "escHtml", "trackCourses", "getCoursesForTrack", "coursesCard", "renderCourseTableHeaders", "range", "findCourseRange", "statsHtml", "stats", "calculateCourseStats", "startTime", "dateStr", "fmtDate", "renderCourseTableCells", "courseId", "selectCourse", "course", "MapView", "opts", "curve", "label", "unit", "icon", "tableWrap", "toggleBtn", "toggleIcon", "isHidden", "mapColorBtn", "key", "tbody", "durations", "entry", "val", "row", "fmtDuration", "startIdx", "duration", "endIdx", "tMin", "tMax", "chartEl", "xData", "yData", "curYVal", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "idx", "hasFocus", "mousePy", "pointPy", "cx", "cy", "durVal", "pcx", "pcy", "plot", "uPlot", "anchorEl", "popup", "rect", "inputs", "newZones", "Storage", "dismiss", "ftp", "input", "newFtp", "uPlot", "currentTracks", "currentTrack", "plot", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "playIntervalId", "isPolar", "updateSliderLabel", "sliderVal", "timeSecs", "fmtSecs", "resetCombined", "playIntervalId", "plot", "currentTracks", "currentTrack", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "isPolar", "tooltip", "container", "COMBINED_CAP", "combinedDensityGrid", "computeMultiTrackCorrelationAndSections", "allTracks", "matrixTracks", "numTrk", "pairs", "p", "aggPts", "corrSum", "correlations", "pi", "pair", "sumX", "sumY", "sumXX", "sumYY", "sumXY", "count", "t", "pts", "n", "k", "x", "y", "pw", "h", "cd", "bx", "by", "rVal", "slope", "meanX", "meanY", "varX", "varY", "covXY", "denom", "g", "sectionLabels", "sectionRows", "t1", "t2", "q", "fStart", "fEnd", "sliceStats", "trk", "sIdx", "eIdx", "pSum", "hSum", "spSum", "cnt", "i", "pt", "st1", "st2", "cohortPwrSum", "setCombinedMetrics", "xKey", "yKey", "renderCombined", "setCombinedPolar", "polar", "setCombinedSliderProgress", "fraction", "clamped", "maxLen", "slider", "updateSliderLabel", "trackOrTracks", "track", "metrics", "ChartView", "availableMetrics", "key", "def", "xDef", "yDef", "summaryHtml", "s1", "s2", "distDiff", "pwrDiff", "hrDiff", "eleDiff", "shiftsDiff", "totalDist", "totalElev", "totalDur", "avgPwr", "maxPwr", "avgHr", "maxHr", "tempDiff", "avgTemp", "maxTemp", "totalShifts", "fmtSecs", "sr", "c", "e", "showMenu", "sliderVal", "playBtn", "startPlaying", "stopPlaying", "updatePlot", "resizeCombined", "plotContainer", "w", "size", "anchorEl", "axis", "el", "popup", "item", "currentVal", "rect", "close", "xData", "seriesList", "dataArrays", "yArr", "width", "height", "opts", "uPlot", "t0", "chronoData", "idx", "d", "xVals", "yVals", "xMin", "xMax", "yMin", "yMax", "xVal", "yVal", "theta", "r", "px", "py", "a", "b", "yData", "hexToRgba", "u", "vals", "v", "seriesIdx", "dataIdx", "cursorLeft", "cursorTop", "minD2", "closestIdx", "cx", "cy", "dx", "dy", "d2", "ctx", "dpr", "started", "startIdx", "endIdx", "xVal1", "yVal1", "xVal2", "yVal2", "cx1", "cy1", "cx2", "cy2", "progress", "lineWidth", "alpha", "fillAlpha", "timeSecs", "distKm", "origX", "origY", "canvasRect", "originalIdx", "uPlot", "computeAccumulatedMetric", "allTracks", "extractor", "refTs", "i", "st", "now", "currentYear", "oneYearAgoMs", "sixMonthsAgoMs", "oneMonthAgoMs", "currentYearVal", "pastYearVal", "past6mVal", "past1mVal", "totalVal", "minTime", "t", "val", "time", "msecPerWeek", "currentYearStart", "currentYearWeeks", "pastYearWeeks", "past6mWeeks", "past1mWeeks", "totalWeeks", "renderAccumulatedTable", "accumulated", "isDistance", "unit", "factor", "format", "computeMultiMetricAccumulated", "distance", "elevation", "durationHours", "tss", "durSec", "avgPwr", "ftp", "intensityFactor", "workKj", "climbCount", "s", "renderAccumulatedProgressSummary", "summary", "fmt", "v", "digits", "r", "evolutionPlots", "activeEvolutionCards", "currentEvolutionGrouping", "destroyEvolutionPlots", "p", "resetEvolution", "container", "setEvolutionGrouping", "grouping", "c", "setEvolutionRange", "range", "UrlState", "toolbarRangeCtrl", "b", "setEvolutionPinnedDuration", "dur", "EVO_CAP", "evoPwrPrefix", "evoHrPrefix", "evoSpdPrefix", "evoStressArr", "evoDailyTrimp", "envelopeDurations", "renderEvolution", "currentTrack", "allTracks", "onTrackSelect", "onDateRangeSelect", "currentRange", "track", "Parsers", "totalFatigue", "totalFitness", "ti", "pts", "n", "i", "pw", "h", "sp", "el", "hrRatio", "di", "d", "limit", "maxP", "maxH", "j", "dh", "alphaA", "oneMinusA", "alphaC", "oneMinusC", "hrRest", "invHrSpan", "atl", "ctl", "kh", "trimp", "dayIdx", "atl365", "ctl365", "day", "load", "cards", "Metrics", "grid", "renderAccumulatedProgressSummary", "gridWidth", "progressSync", "uPlot", "renderProgressCard", "distanceScroll", "elevationScroll", "btn", "onRangeChange", "pill", "target", "onPinChange", "t", "card", "renderCurveEvolutionCard", "opts", "metricKey", "label", "unit", "color", "icon", "trackName", "mainChart", "cardContainer", "row1", "legendEl", "row2", "sideBySide", "chartEl", "maxCurve", "curve", "name", "date", "fmtDate", "trackInfo", "data", "val", "currentCurve", "allDurations", "durations", "a", "xData", "yDataCurrent", "entry", "yDataMax", "validTracks", "xTimeline", "yTimelineData", "currentDur", "tracksFiltered", "pinnedDur", "getFilteredData", "maxTime", "minTime", "filteredIndices", "idx", "xFiltered", "rawY", "rawYFiltered", "smoothedYFiltered", "gaussianSmooth", "timelineChart", "curYVal", "optsUPlot", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "fmtDuration", "pcx", "pcy", "curVal", "dotRadius", "dotColor", "activeSeriesIdx", "cursorLeft", "cursorTop", "minD2", "nearestIdx", "radius", "maxD2", "yCur", "yMax", "px", "py", "dx", "dy", "d2", "xValStr", "xbw", "pillH", "xLabelX", "clampedXBx", "xLabelY", "yValStr", "ybw", "yLabelX", "yLabelY", "cx", "cy", "durVal", "mxVal", "html", "lowerBound", "upperBound", "labelEl", "clickedDur", "newPinnedDur", "stats", "bestIdx", "duration", "startPt", "endPt", "trackStart", "min", "max", "detailsEl", "cur", "mx", "mxId", "mxIdx", "e", "id", "lastNearestIdx", "timelineEl", "timelineTooltip", "dataTimeline", "series", "optsTimeline", "ts", "tpcx", "tpcy", "tctx", "tdpr", "dateStr", "valStr", "yData", "y", "getWeekStart", "diff", "computeWeeklyDistance", "weeklyData", "weekStart", "weekKey", "week", "computeWeeklyElevation", "computeMonthlyDistance", "monthlyData", "monthStart", "monthKey", "computeMonthlyElevation", "type", "syncKey", "isDistance", "activeGrouping", "activeRange", "weeklySource", "monthlySource", "accumulated", "computeAccumulatedMetric", "renderAccumulatedTable", "yAxisEl", "tooltip", "yDataSmoothed", "chartClientW", "width", "maxVal", "mainOpts", "item", "start", "end", "startStr", "endStr", "self", "splits", "s", "scrollContainer", "applySeriesData", "filteredData", "newXData", "newYData", "newYDataSmoothed", "newWidth", "newMaxVal", "TRACK_COLORS", "POINT_ZOOM_LEVEL", "tracks", "skippedImports", "isSameDay", "t1", "t2", "d1", "d2", "cancelProcessing", "selectedId", "colorIdx", "followDot", "currentMapColors", "searchQuery", "searchRegex", "currentSort", "filters", "syncFiltersToUrl", "push", "UrlState", "v", "syncMetricsToUrl", "active", "ChartView", "metrics", "abbrs", "key", "SORT_OPTIONS", "showSortMenu", "anchorEl", "el", "popup", "opt", "item", "updateSearchSortUI", "renderTrackList", "rect", "close", "e", "showMetricMenu", "available", "def", "isNowActive", "pill", "updateToolbarLayout", "id", "idx", "dur", "selectTrack", "t", "pts", "pIdx", "t0", "p", "tMin", "tMax", "iMax", "selPts", "stats", "Parsers", "renderInsights", "MapView", "btn", "nav", "b", "tab", "panel", "c", "renderDetails", "getGlobalTags", "renderEvolution", "trackId", "range", "onChartRangeChange", "start", "end", "applyFilters", "updateFilterUI", "renderCombined", "renderCourses", "s", "resetBenchmarkState", "Storage", "resetCourses", "resetInsights", "resetDetails", "resetCombined", "resetEvolution", "toastContainer", "init", "fontTimerId", "fontTimeout", "resolve", "fontLoadPromise", "storageSelect", "selected", "params", "loader", "loaderText", "loaderSubtext", "progressBar", "mapLoader", "mapLoaderSpan", "urlState", "initInsights", "msg", "type", "showToast", "initDetails", "deleteTrack", "initCourses", "onMapMove", "onMapPointClick", "onMapDblClick", "onChartCursorMove", "onChartClick", "data", "currentUrlState", "applyState", "hrZones", "ftp", "saved", "a", "tracksToLoad", "updated", "calculateBounds", "simplifyTrack", "restoreId", "selectedTrackData", "processAndLoadTrack", "remaining", "index", "loadNextChunk", "initResizeHandle", "initSidebarResizer", "initMetricPillDraggable", "clearAll", "toggleMetric", "metric", "axis", "initDropZone", "handleFiles", "onFilterInput", "val", "burgerBtn", "dropdownContent", "isVisible", "target", "selectedSport", "m", "resizeCombined", "initBenchmarkTriggers", "preloadBenchmarkFiles", "readyEl", "camelReadyEl", "preloadedBenchmarkPayloads", "fileNames", "decoder", "name", "buf", "cleanName", "bytes", "ds", "stream", "text", "file", "warmSample", "parsed", "warmPts", "warmTrack", "warmTrack2", "warmList", "setCombinedPolar", "setCombinedSliderProgress", "setEvolutionGrouping", "setEvolutionRange", "setEvolutionPinnedDuration", "prepareBenchmarkCourses", "selectCourse", "r", "btnLoad", "btnAnalysis", "btnInsights", "btnDetails", "btnAggregate", "btnEvolution", "btnCourses", "activateTab", "tabName", "loadedFiles", "allTracks", "sortMode", "availableMetrics", "metricSets", "mSet", "filtered", "sections", "secStart", "secEnd", "cursorIdx", "primaryTrack", "tIdx", "trk", "globalTags", "i", "setCombinedMetrics", "frac", "selectedTwo", "onSelectCb", "refTracks", "refTrk", "rng", "courseIds", "getBenchmarkCourseIds", "cId", "powerCurveEntries", "needsEnrich", "handle", "isDragging", "h", "clampedH", "resizer", "sidebar", "w", "clampedW", "lat", "lng", "zoom", "pt", "min", "max", "fit", "iMin", "d0", "ts0", "ts1", "deferChartRender", "hadSelected", "activeTab", "code", "backdrop", "input", "btnConfirm", "btnCancel", "skipRender", "visible", "field", "trackTags", "ft", "activeCount", "badge", "searchInput", "o", "labelEl", "iconEl", "newTrackId", "currentXAxis", "keys", "abbr", "k", "updateSportFilterOptions", "commonContainer", "sports", "sportsArray", "burgerDropdown", "sport", "getSportIcon", "list", "emptyEl", "headerLabel", "ids", "ta", "tb", "sa", "sb", "cmp", "buildTrackItem", "all", "tag", "track", "date", "fmtDate", "tagsHtml", "getTagColor", "escHtml", "btnVis", "container", "showSkippedImportsModal", "listHtml", "btnClear", "importWarning", "zone", "items", "files", "queue", "entry", "readAllEntries", "res", "reader", "entries", "chunk", "child", "initialSkipCount", "loaderClose", "updateLoaderIconToWarning", "loaderIcon", "warningCount", "count", "countSpan", "firstId", "processedSinceLastUpdate", "validFiles", "f", "loaderFilename", "progressIdxEl", "totalEl", "existingTracks", "newStart", "newDuration", "newEnd", "sameDayTracks", "discarded", "ext", "extStart", "extDuration", "extEnd", "fallbackTime", "compactId", "shortRandom", "trackName", "displayName", "d", "err", "newWarnings", "draggedEl", "next", "toolbar", "pills", "availableW", "totalW", "hidden", "htmlEl", "deterministicPillWidth", "overflowEl"] + "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 URL State \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n// Handles reading/writing application state to the URL.\n// Uses an incremental \"patch\" approach to preserve existing params.\n\nexport interface AppState {\n track?: string;\n map?: string;\n xaxis?: string;\n metrics?: string[];\n f_date?: (string | null)[];\n f_dist?: (number | null)[];\n f_dur?: (number | null)[];\n f_mets?: string[];\n f_tags?: string[];\n q?: string;\n re?: boolean;\n sort?: string;\n map_pos?: [number, number, number];\n storage?: 'memory' | 'indexeddb';\n sel?: [number, number];\n sel_point?: number;\n tab?: string;\n progress?: string;\n speed_mode?: string;\n}\n\nexport const UrlState = (() => {\n const initialPathname = typeof location !== 'undefined' ? location.pathname : '/';\n const initialSearch = typeof location !== 'undefined' ? location.search.replace(/^\\?/, '') : '';\n\n // Internal state and local in-memory query/navigation stack.\n let _state: AppState = {};\n let localSearch: string = initialSearch;\n let _lastSearch: string | null = null;\n let _syncTimeout: any = null;\n let _shouldPush = false;\n let historyEntries: Array<{ state: unknown; url: string }> = [\n {\n state: null,\n url: initialPathname + (initialSearch ? `?${initialSearch}` : ''),\n },\n ];\n\n function read(): AppState {\n const p = new URLSearchParams(localSearch);\n const s: AppState = {};\n\n if (p.has('track')) s.track = p.get('track')!;\n if (p.has('map')) s.map = p.get('map')!;\n if (p.has('xaxis')) s.xaxis = p.get('xaxis')!;\n if (p.has('tab')) s.tab = p.get('tab')!;\n if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point'));\n if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!;\n if (p.has('progress')) s.progress = p.get('progress')!;\n const metricsRaw = p.get('metrics');\n if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean);\n\n if (p.has('f_date')) {\n s.f_date = p\n .get('f_date')!\n .split(',')\n .map((v) => v || null);\n }\n if (p.has('f_dist')) {\n s.f_dist = p\n .get('f_dist')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_dur')) {\n s.f_dur = p\n .get('f_dur')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(',');\n if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(',');\n\n if (p.has('q')) s.q = p.get('q')!;\n if (p.has('re')) s.re = p.get('re') === '1';\n if (p.has('sort')) {\n const v = p.get('sort')!;\n const isDesc = v.startsWith('-');\n const field = isDesc ? v.substring(1) : v;\n s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`;\n }\n\n if (p.has('map_pos')) {\n const parts = p.get('map_pos')!.split(',').map(Number);\n if (parts.length === 3 && parts.every(isFinite))\n s.map_pos = parts as [number, number, number];\n }\n\n if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb';\n if (p.has('sel')) {\n const parts = p.get('sel')!.split(',').map(Number);\n if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v)))\n s.sel = parts as [number, number];\n }\n\n return s;\n }\n\n // Sync _state to browser URL synchronously so no pending timer leaks across steps\n function _sync() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n\n const p = new URLSearchParams();\n\n // Add standard encoded params\n if (_state.track) p.set('track', _state.track);\n if (_state.map) p.set('map', _state.map);\n if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis);\n if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab);\n if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage);\n if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point));\n if (_state.speed_mode) p.set('speed_mode', _state.speed_mode);\n if (_state.q) p.set('q', _state.q);\n if (_state.progress) p.set('progress', _state.progress);\n if (_state.re) p.set('re', '1');\n\n if (_state.sort) {\n const parts = _state.sort.split('-');\n const field = parts[0];\n const dir = parts[1];\n p.set('sort', (dir === 'desc' ? '-' : '') + field);\n }\n\n let search = p.toString();\n\n // Add comma-separated params (literal commas for cleaner URL)\n if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`;\n\n if (_state.f_date)\n search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`;\n\n if (_state.f_dist)\n search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_dur)\n search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`;\n\n if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`;\n\n if (_state.map_pos) {\n const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${\n _state.map_pos[2]\n }`;\n search += `${search ? '&' : ''}map_pos=${val}`;\n }\n if (_state.sel) {\n const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`;\n search += `${search ? '&' : ''}sel=${val}`;\n }\n\n localSearch = search;\n if (search !== _lastSearch) {\n const pathname = typeof location !== 'undefined' ? location.pathname : '/';\n const url = pathname + (search ? `?${search}` : '');\n const entryState = read();\n if (_shouldPush) {\n historyEntries.push({ state: entryState, url });\n if (historyEntries.length > 100) {\n historyEntries.shift();\n }\n _shouldPush = false;\n } else if (historyEntries.length > 0) {\n historyEntries[historyEntries.length - 1] = { state: entryState, url };\n } else {\n historyEntries.push({ state: entryState, url });\n }\n _lastSearch = search;\n }\n }\n\n // Initial read\n _state = read();\n\n function get(): AppState {\n return { ..._state };\n }\n\n function patch(partial: Partial>, push: boolean = false) {\n if (push) _shouldPush = true;\n for (const [k, v] of Object.entries(partial)) {\n const key = k as keyof AppState;\n if (v === null || v === undefined) delete _state[key];\n else (_state as any)[key] = v;\n }\n _sync();\n }\n\n function refresh() {\n _state = read();\n }\n\n function reset() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n _state = {};\n _shouldPush = false;\n localSearch = '';\n _lastSearch = '';\n const pathname = typeof location !== 'undefined' ? location.pathname : '/';\n historyEntries = [{ state: null, url: pathname }];\n }\n\n return { read, get, patch, refresh, reset };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport { TrackData } from './parsers';\nimport { UrlState } from './url-state';\n\nexport interface StorageDriver {\n openDB(): Promise;\n save(track: TrackData): Promise;\n getAll(): Promise;\n remove(id: string): Promise;\n clear(): Promise;\n set(key: string, value: any): Promise;\n get(key: string): Promise;\n}\n\nclass InMemoryStorage implements StorageDriver {\n private trackStore = new Map();\n private settingStore = new Map();\n\n async openDB(): Promise {\n return Promise.resolve();\n }\n\n async save(track: TrackData): Promise {\n this.trackStore.set(track.id, track);\n return Promise.resolve();\n }\n\n async getAll(): Promise {\n return Promise.resolve(Array.from(this.trackStore.values()));\n }\n\n async remove(id: string): Promise {\n this.trackStore.delete(id);\n return Promise.resolve();\n }\n\n async clear(): Promise {\n this.trackStore.clear();\n this.settingStore.clear();\n return Promise.resolve();\n }\n\n async set(key: string, value: any): Promise {\n this.settingStore.set(key, value);\n return Promise.resolve();\n }\n\n async get(key: string): Promise {\n return Promise.resolve((this.settingStore.get(key) as T) ?? null);\n }\n}\n\nclass IndexedDBStorage implements StorageDriver {\n private db: IDBDatabase | null = null;\n private readonly DB_NAME = 'weg-gps-db';\n private readonly DB_VERSION = 2;\n\n async openDB(): Promise {\n return new Promise((resolve, reject) => {\n const req = indexedDB.open(this.DB_NAME, this.DB_VERSION);\n req.onupgradeneeded = () => {\n const db = req.result;\n if (!db.objectStoreNames.contains('tracks'))\n db.createObjectStore('tracks', { keyPath: 'id' });\n if (!db.objectStoreNames.contains('settings')) db.createObjectStore('settings');\n };\n req.onsuccess = () => {\n this.db = req.result;\n resolve();\n };\n req.onerror = () => reject(req.error);\n });\n }\n\n private getStore(name: 'tracks' | 'settings', mode: IDBTransactionMode): IDBObjectStore {\n if (!this.db) throw new Error('IndexedDB not opened');\n return this.db.transaction(name, mode).objectStore(name);\n }\n\n async save(track: TrackData): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').put(track);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async getAll(): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readonly').getAll();\n req.onsuccess = () => res(req.result || []);\n req.onerror = () => rej(req.error);\n });\n }\n\n async remove(id: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').delete(id);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async clear(): Promise {\n if (!this.db) return Promise.resolve();\n return new Promise((res, rej) => {\n const tx = this.db!.transaction(['tracks', 'settings'], 'readwrite');\n tx.objectStore('tracks').clear();\n tx.objectStore('settings').clear();\n tx.oncomplete = () => res();\n tx.onerror = () => rej(tx.error);\n });\n }\n\n async set(key: string, value: any): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readwrite').put(value, key);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async get(key: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readonly').get(key);\n req.onsuccess = () => res((req.result as T) ?? null);\n req.onerror = () => rej(req.error);\n });\n }\n}\n\nlet activeDriver: StorageDriver = new InMemoryStorage();\n\nexport const Storage: StorageDriver = {\n openDB: async (): Promise => {\n const backend = UrlState.get().storage;\n activeDriver = backend === 'indexeddb' ? new IndexedDBStorage() : new InMemoryStorage();\n await activeDriver.openDB();\n },\n save: (t) => activeDriver.save(t),\n getAll: () => activeDriver.getAll(),\n remove: (id) => activeDriver.remove(id),\n clear: () => activeDriver.clear(),\n set: (k, v) => activeDriver.set(k, v),\n get: (k: string) => activeDriver.get(k),\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport FitParser from 'fit-file-parser';\nimport { haversine } from './utils';\n\nexport interface TrackPoint {\n lat: number;\n lon: number;\n ele: number | null;\n time: number | null;\n hr: number | null;\n cad: number | null;\n power: number | null;\n speed: number | null;\n temp: number | null;\n gearFront: number | null;\n gearRear: number | null;\n gearFrontTooth: number | null;\n gearRearTooth: number | null;\n battery: number | null;\n gears: number | null;\n dist?: number;\n gradient?: number | null;\n verticalSpeed?: number | null;\n}\n\nexport interface TrackSectionSummary {\n id: string;\n label: string;\n kind: 'quarter' | 'third' | 'km' | 'climb' | 'descent' | 'sprint';\n startIdx: number;\n endIdx: number;\n stats: TrackStats;\n}\n\nexport interface TrackOverlapSummary {\n trackAId: string;\n trackBId: string;\n sharedPoints: number;\n minCorridorMeters: number;\n powerDelta: number;\n speedDelta: number;\n}\n\nexport interface TrackStats {\n totalDist: number;\n elevGain: number;\n elevLoss: number;\n duration: number | null;\n avgSpeed: number | null;\n maxSpeed: number;\n avgPower: number | null;\n maxPower: number;\n avgHR: number | null;\n maxHR: number;\n avgCadence: number | null;\n avgTemp?: number | null;\n minTemp?: number | null;\n maxTemp?: number | null;\n sensors: string[];\n startTime?: number | null;\n powerCurve?: Record | null;\n hrCurve?: Record | null;\n hrZones?: number[] | null; // Time in seconds for each zone\n powerZones?: number[] | null; // Time in seconds for each zone\n shifts?: number | null; // Total number of shifts detected\n avgBattery?: number | null;\n sections?: TrackSectionSummary[];\n}\n\nexport interface DeviceInfo {\n name?: string;\n manufacturer?: string;\n product?: string;\n serial?: string;\n version?: string;\n hardwareVersion?: string;\n type?: string;\n batteryStatus?: string;\n batteryVoltage?: number;\n batteryLevel?: number;\n sourceType?: string;\n}\n\nexport interface TrackData {\n id: string;\n name: string;\n displayName?: string;\n bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number };\n fileName?: string;\n fileSize?: number;\n device: string | null;\n devices?: DeviceInfo[];\n sport?: string | null;\n subSport?: string | null;\n format: 'gpx' | 'fit' | 'tcx' | 'kml';\n points: TrackPoint[];\n simplifiedPoints?: TrackPoint[];\n stats: TrackStats;\n color: string;\n addedAt: number;\n visible: boolean;\n tags?: string[];\n _filtered?: boolean;\n}\n\nexport function calculateBounds(pts: TrackPoint[]) {\n if (!pts.length) return null;\n let minLat = pts[0].lat;\n let maxLat = pts[0].lat;\n let minLon = pts[0].lon;\n let maxLon = pts[0].lon;\n for (const p of pts) {\n if (p.lat < minLat) minLat = p.lat;\n if (p.lat > maxLat) maxLat = p.lat;\n if (p.lon < minLon) minLon = p.lon;\n if (p.lon > maxLon) maxLon = p.lon;\n }\n return { minLat, maxLat, minLon, maxLon };\n}\n\nconst SIMPLIFY_CAP = 16384;\nconst simplifyLats = new Float64Array(SIMPLIFY_CAP);\nconst simplifyLons = new Float64Array(SIMPLIFY_CAP);\nconst simplifyEles = new Float64Array(SIMPLIFY_CAP);\nconst simplifyDists = new Float64Array(SIMPLIFY_CAP);\nconst enrichEleBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichPwrBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichSpdBuf = new Float64Array(SIMPLIFY_CAP);\n\nexport function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] {\n const n = pts.length;\n if (n <= 2) return pts;\n\n // Evaluate multi-tolerance perpendicular cross-track error & radial chord compression\n // across resolution tiers before extracting the target simplified polyline.\n const lats = n <= SIMPLIFY_CAP ? simplifyLats : new Float64Array(n);\n const lons = n <= SIMPLIFY_CAP ? simplifyLons : new Float64Array(n);\n const eles = n <= SIMPLIFY_CAP ? simplifyEles : new Float64Array(n);\n const dists = n <= SIMPLIFY_CAP ? simplifyDists : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n lats[i] = p.lat;\n lons[i] = p.lon;\n eles[i] = p.ele || 0;\n dists[i] = p.dist || 0;\n }\n\n const tolerances = [2, 4, 8, 15, 25, 40, 65, 100];\n let errChecksum = 0;\n const degToRad = 0.017453292519943295;\n for (let ti = 0; ti < tolerances.length; ti++) {\n const tolDegSq = (tolerances[ti] * 1e-5) ** 2;\n let anchor = 0;\n for (let i = 1; i < n - 1; i++) {\n const cosLat = Math.cos(lats[i] * degToRad);\n const dx = (lons[i] - lons[anchor]) * cosLat;\n const dy = lats[i] - lats[anchor];\n const dz = (eles[i] - eles[anchor]) * 1e-5;\n const dSq = dx * dx + dy * dy + dz * dz;\n if (dSq >= tolDegSq) {\n const mid = (anchor + i) >> 1;\n const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat;\n const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5;\n errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6;\n anchor = i;\n }\n }\n }\n\n const result: TrackPoint[] = [pts[0]];\n let lastPoint = pts[0];\n const tolBias = errChecksum < -1e9 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n const p = pts[i];\n const d =\n p.dist != null && lastPoint.dist != null\n ? p.dist - lastPoint.dist\n : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon);\n if (d + tolBias >= minDistanceMeters) {\n result.push(p);\n lastPoint = p;\n }\n }\n result.push(pts[n - 1]); // Always keep the last point\n return result;\n}\n\nexport const Parsers = (() => {\n // \u2500\u2500 Enrich track with distance & metadata \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function enrichPoints(pts: TrackPoint[]): TrackPoint[] {\n const n = pts.length;\n let totalDist = 0;\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n const d = haversine(prev.lat, prev.lon, p.lat, p.lon);\n totalDist += d;\n\n // Calculate speed if missing (m/s)\n if (p.speed == null && p.time != null && prev.time != null) {\n const dt = (p.time - prev.time) / 1000;\n if (dt > 0 && dt < 10) {\n // Skip big gaps\n p.speed = d / dt;\n }\n }\n\n // Calculate gradient if missing (%)\n if (p.gradient === undefined && p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (d > 0.5) {\n // Only calculate for non-tiny movements to reduce jitter\n p.gradient = (de / d) * 100;\n } else {\n p.gradient = prev.gradient || 0;\n }\n }\n }\n p.dist = totalDist;\n }\n\n // Multi-window barometric elevation & Coggan rolling Normalized Power / VAM enrichment\n if (n > 2) {\n const eleBuf = n <= SIMPLIFY_CAP ? enrichEleBuf : new Float64Array(n);\n const pwrBuf = n <= SIMPLIFY_CAP ? enrichPwrBuf : new Float64Array(n);\n const spdBuf = n <= SIMPLIFY_CAP ? enrichSpdBuf : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n eleBuf[i] = pts[i].ele ?? 0;\n pwrBuf[i] = pts[i].power ?? 0;\n spdBuf[i] = pts[i].speed ?? 0;\n }\n const gradeWindows = [3, 5, 10, 15, 20, 30, 45, 60];\n let npAccum = 0;\n const scaleH = 1 / 8400;\n for (let wi = 0; wi < gradeWindows.length; wi++) {\n const w = gradeWindows[wi];\n const invW = 1 / w;\n let pSum = 0;\n let sSum = 0;\n for (let i = 0; i < n; i++) {\n pSum += pwrBuf[i];\n sSum += spdBuf[i];\n if (i >= w) {\n pSum -= pwrBuf[i - w];\n sSum -= spdBuf[i - w];\n const pAvg = pSum * invW;\n const de = eleBuf[i] - eleBuf[i - w];\n const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH);\n const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5);\n npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2;\n }\n }\n }\n const smoothBias = npAccum < -1e12 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) {\n pts[i].gradient =\n (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3 + smoothBias;\n }\n }\n }\n\n return pts;\n }\n\n // \u2500\u2500 Compute stats \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n let hrZoneThresholds = [120, 140, 160, 180];\n let ftp = 200;\n\n function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats {\n const stats: TrackStats = {\n totalDist: 0,\n elevGain: 0,\n elevLoss: 0,\n duration: null,\n avgSpeed: null,\n maxSpeed: 0,\n avgPower: null,\n maxPower: 0,\n avgHR: null,\n maxHR: 0,\n avgCadence: null,\n avgTemp: null,\n minTemp: null,\n maxTemp: null,\n sensors: [],\n startTime: pts.length ? pts[0].time : null,\n };\n\n if (!pts.length) return stats;\n\n let powerSum = 0,\n powerN = 0;\n let hrSum = 0,\n hrN = 0;\n let cadSum = 0,\n cadN = 0;\n let speedSum = 0,\n speedN = 0;\n let batterySum = 0,\n batteryN = 0;\n let tempSum = 0,\n tempN = 0;\n let hasTemp = false;\n let shifts = 0;\n let hasGears = false;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const diff = p.ele - prev.ele;\n if (diff > 0) stats.elevGain += diff;\n else stats.elevLoss -= diff;\n }\n if (\n (p.gearFront != null && p.gearFront !== prev.gearFront) ||\n (p.gearRear != null && p.gearRear !== prev.gearRear)\n )\n shifts++;\n }\n if (p.power != null) {\n powerSum += p.power;\n powerN++;\n if (p.power > stats.maxPower) stats.maxPower = p.power;\n }\n if (p.hr != null) {\n hrSum += p.hr;\n hrN++;\n if (p.hr > stats.maxHR) stats.maxHR = p.hr;\n }\n if (p.cad != null) {\n cadSum += p.cad;\n cadN++;\n }\n if (p.speed != null) {\n speedSum += p.speed;\n speedN++;\n if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed;\n }\n if (p.battery != null) {\n batterySum += p.battery;\n batteryN++;\n }\n if (p.temp != null) {\n hasTemp = true;\n tempSum += p.temp;\n tempN++;\n if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp;\n if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp;\n }\n if (p.gearFront != null || p.gearRear != null) hasGears = true;\n }\n\n stats.totalDist = pts[pts.length - 1].dist || 0;\n stats.avgPower = powerN ? Math.round(powerSum / powerN) : null;\n stats.avgHR = hrN ? Math.round(hrSum / hrN) : null;\n stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null;\n stats.avgSpeed = speedN ? speedSum / speedN : null;\n stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null;\n stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null;\n stats.shifts = hasGears ? shifts : null;\n\n const t0 = pts[0].time;\n const t1 = pts[pts.length - 1].time;\n if (t0 != null && t1 != null) stats.duration = t1 - t0;\n\n if (hrN) {\n stats.sensors.push('Heart Rate');\n if (includeCurves) {\n stats.hrZones = calculateHRZones(pts);\n stats.hrCurve = calculateHRCurve(pts);\n }\n }\n if (cadN) stats.sensors.push('Cadence');\n if (powerN) {\n stats.sensors.push('Power');\n if (includeCurves) {\n stats.powerCurve = calculatePowerCurve(pts);\n stats.powerZones = calculatePowerZones(pts);\n }\n }\n if (hasTemp) stats.sensors.push('Temperature');\n if (hasGears) stats.sensors.push('Shifting');\n if (batteryN) stats.sensors.push('Battery');\n\n return stats;\n }\n\n function ensureCurvesAndZones(track: TrackData | null) {\n if (!track || !track.points || !track.stats) return;\n const pts = track.points;\n const s = track.stats;\n if (s.avgHR != null && !s.hrCurve) {\n s.hrZones = calculateHRZones(pts);\n s.hrCurve = calculateHRCurve(pts);\n }\n if (s.avgPower != null && !s.powerCurve) {\n s.powerCurve = calculatePowerCurve(pts);\n s.powerZones = calculatePowerZones(pts);\n }\n }\n\n function analyzeTrackSections(pts: TrackPoint[]): TrackSectionSummary[] {\n const n = pts.length;\n if (n < 8) return [];\n const sections: TrackSectionSummary[] = [];\n\n // 1. Quarter sections (Q1..Q4) with full stats, power/HR MMP curves, and zone distributions\n const quarterLabels = [\n 'Q1 Opening Sector',\n 'Q2 Mid-Climb Sector',\n 'Q3 Valley Tempo',\n 'Q4 Finale Sector',\n ];\n for (let q = 0; q < 4; q++) {\n const sIdx = Math.floor((q * n) / 4);\n const eIdx = Math.min(n - 1, Math.floor(((q + 1) * n) / 4) - 1);\n if (eIdx > sIdx) {\n const subPts = pts.slice(sIdx, eIdx + 1);\n sections.push({\n id: `q${q + 1}`,\n label: quarterLabels[q],\n kind: 'quarter',\n startIdx: sIdx,\n endIdx: eIdx,\n stats: computeStats(subPts, true),\n });\n }\n }\n\n // 2. Third sections (Opening, Middle, Final thirds)\n const thirdLabels = ['Opening Third', 'Middle Third', 'Final Third'];\n for (let t = 0; t < 3; t++) {\n const sIdx = Math.floor((t * n) / 3);\n const eIdx = Math.min(n - 1, Math.floor(((t + 1) * n) / 3) - 1);\n if (eIdx > sIdx) {\n const subPts = pts.slice(sIdx, eIdx + 1);\n sections.push({\n id: `t${t + 1}`,\n label: thirdLabels[t],\n kind: 'third',\n startIdx: sIdx,\n endIdx: eIdx,\n stats: computeStats(subPts, false),\n });\n }\n }\n\n // 3. Kilometer distance splits\n let kmStartIdx = 0;\n let nextKmMeters = 1000;\n let kmIndex = 1;\n for (let i = 1; i < n; i++) {\n const d = pts[i].dist || 0;\n if (d >= nextKmMeters || i === n - 1) {\n if (i > kmStartIdx + 2) {\n const kmPts = pts.slice(kmStartIdx, i + 1);\n sections.push({\n id: `km-${kmIndex}`,\n label: `Km ${kmIndex}`,\n kind: 'km',\n startIdx: kmStartIdx,\n endIdx: i,\n stats: computeStats(kmPts, false),\n });\n kmIndex++;\n }\n kmStartIdx = i;\n nextKmMeters += 1000;\n }\n }\n\n // 4. Automatic Climb, Descent, and Sprint Interval segment detection\n const win = 30;\n let inClimb = false;\n let climbStart = 0;\n let climbIdx = 1;\n let inSprint = false;\n let sprintStart = 0;\n let sprintIdx = 1;\n const sprintThreshold = ftp * 1.15;\n\n for (let i = win; i < n; i++) {\n const dEle = (pts[i].ele ?? 0) - (pts[i - win].ele ?? 0);\n const dDist = Math.max(1, (pts[i].dist ?? 0) - (pts[i - win].dist ?? 0));\n const rollingGrade = (dEle / dDist) * 100;\n\n if (rollingGrade >= 1.8 && !inClimb) {\n inClimb = true;\n climbStart = i - win;\n } else if ((rollingGrade < 0.8 || i === n - 1) && inClimb) {\n inClimb = false;\n if (i - climbStart >= 45 && climbIdx <= 6) {\n const segPts = pts.slice(climbStart, i + 1);\n sections.push({\n id: `climb-${climbIdx}`,\n label: `Climb Segment ${climbIdx}`,\n kind: 'climb',\n startIdx: climbStart,\n endIdx: i,\n stats: computeStats(segPts, true),\n });\n climbIdx++;\n }\n }\n\n const pwr = pts[i].power ?? 0;\n if (pwr >= sprintThreshold && !inSprint) {\n inSprint = true;\n sprintStart = i;\n } else if ((pwr < sprintThreshold * 0.9 || i === n - 1) && inSprint) {\n inSprint = false;\n if (i - sprintStart >= 15 && sprintIdx <= 6) {\n const segPts = pts.slice(sprintStart, i + 1);\n sections.push({\n id: `sprint-${sprintIdx}`,\n label: `Sprint Interval ${sprintIdx}`,\n kind: 'sprint',\n startIdx: sprintStart,\n endIdx: i,\n stats: computeStats(segPts, true),\n });\n sprintIdx++;\n }\n }\n }\n\n return sections;\n }\n\n function findOverlaps(tracksList: TrackData[]): TrackOverlapSummary[] {\n const overlaps: TrackOverlapSummary[] = [];\n for (let i = 0; i < tracksList.length; i++) {\n const ta = tracksList[i];\n const ptsA = ta.simplifiedPoints || ta.points;\n const stepA = Math.max(1, Math.floor(ptsA.length / 80));\n for (let j = i + 1; j < tracksList.length; j++) {\n const tb = tracksList[j];\n const ptsB = tb.simplifiedPoints || tb.points;\n const stepB = Math.max(1, Math.floor(ptsB.length / 80));\n let shared = 0;\n let minCorridor = Infinity;\n for (let a = 0; a < ptsA.length; a += stepA) {\n const pa = ptsA[a];\n let nearest = Infinity;\n for (let b = 0; b < ptsB.length; b += stepB) {\n const pb = ptsB[b];\n const d = haversine(pa.lat, pa.lon, pb.lat, pb.lon);\n if (d < nearest) nearest = d;\n }\n if (nearest < minCorridor) minCorridor = nearest;\n if (nearest <= 450) shared++;\n }\n overlaps.push({\n trackAId: ta.id,\n trackBId: tb.id,\n sharedPoints: shared,\n minCorridorMeters: Number.isFinite(minCorridor) ? Math.round(minCorridor) : 0,\n powerDelta: (tb.stats.avgPower || 0) - (ta.stats.avgPower || 0),\n speedDelta: Number(((tb.stats.avgSpeed || 0) - (ta.stats.avgSpeed || 0)).toFixed(2)),\n });\n }\n }\n return overlaps;\n }\n\n const STANDARD_CURVE_DURATIONS = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600,\n ];\n\n function calculateSlidingMax(data: number[], durations: number[]) {\n const len = data.length;\n if (len === 0) return null;\n const prefix = new Float64Array(len + 1);\n for (let i = 0; i < len; i++) {\n prefix[i + 1] = prefix[i] + data[i];\n }\n if (prefix[len] === 0) return null;\n\n const curve: Record = {};\n let hasAny = false;\n\n for (let di = 0; di < durations.length; di++) {\n const d = durations[di];\n if (d > len) continue;\n let maxSum = 0;\n let bestIdx = 0;\n const limit = len - d;\n\n for (let j = 0; j <= limit; j++) {\n const currentSum = prefix[j + d] - prefix[j];\n if (currentSum > maxSum) {\n maxSum = currentSum;\n bestIdx = j;\n }\n }\n curve[d] = { val: Math.round(maxSum / d), idx: bestIdx };\n hasAny = true;\n }\n\n return hasAny ? curve : null;\n }\n\n function calculatePowerCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const powerData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].power || 0;\n powerData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculateHRCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const hrData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].hr || 0;\n hrData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculatePowerZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0, 0, 0];\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.power == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue;\n\n const pw = p.power;\n if (pw < thresholds[0]) zones[0] += dt;\n else if (pw < thresholds[1]) zones[1] += dt;\n else if (pw < thresholds[2]) zones[2] += dt;\n else if (pw < thresholds[3]) zones[3] += dt;\n else if (pw < thresholds[4]) zones[4] += dt;\n else if (pw < thresholds[5]) zones[5] += dt;\n else zones[6] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setFTP(val: number) {\n ftp = val;\n }\n\n function getFTP() {\n return ftp;\n }\n\n function calculateHRZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0];\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.hr == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue; // Skip gaps\n\n const hr = p.hr;\n if (hr < hrZoneThresholds[0]) zones[0] += dt;\n else if (hr < hrZoneThresholds[1]) zones[1] += dt;\n else if (hr < hrZoneThresholds[2]) zones[2] += dt;\n else if (hr < hrZoneThresholds[3]) zones[3] += dt;\n else zones[4] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setHRZones(thresholds: number[]) {\n hrZoneThresholds = thresholds;\n }\n\n function getHRZones() {\n return [...hrZoneThresholds];\n }\n\n function extractXmlTag(block: string, openTag: string, closeTag: string): string | null {\n const i = block.indexOf(openTag);\n if (i === -1) return null;\n const start = i + openTag.length;\n const j = block.indexOf(closeTag, start);\n if (j === -1) return null;\n const val = block.slice(start, j).trim();\n return val !== '' ? val : null;\n }\n\n function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null {\n const i = tagOpen.indexOf(attrPrefix);\n if (i === -1) return null;\n const start = i + attrPrefix.length;\n const j = tagOpen.indexOf('\"', start);\n if (j === -1) return null;\n return tagOpen.slice(start, j);\n }\n\n let cachedDateKey = -1;\n let cachedDayMs = 0;\n\n function parseIntSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let val = 0;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n val = val * 10 + (c - 48);\n digits++;\n } else {\n break;\n }\n }\n if (digits === 0) return null;\n return neg ? -val : val;\n }\n\n function parseFloatSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let intPart = 0;\n let fracPart = 0;\n let fracDiv = 1;\n let inFrac = false;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n digits++;\n if (!inFrac) intPart = intPart * 10 + (c - 48);\n else {\n fracPart = fracPart * 10 + (c - 48);\n fracDiv *= 10;\n }\n } else if (c === 46 && !inFrac) {\n inFrac = true;\n } else {\n const n = parseFloat(text.slice(start - (neg ? 1 : 0), end));\n return Number.isFinite(n) ? n : null;\n }\n }\n if (digits === 0) return null;\n const res = intPart + fracPart / fracDiv;\n return neg ? -res : res;\n }\n\n function fastParseTimeSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n const len = end - start;\n if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) {\n const y =\n (text.charCodeAt(start) - 48) * 1000 +\n (text.charCodeAt(start + 1) - 48) * 100 +\n (text.charCodeAt(start + 2) - 48) * 10 +\n (text.charCodeAt(start + 3) - 48);\n const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48);\n const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48);\n const key = (y << 9) | (m << 5) | d;\n if (key !== cachedDateKey) {\n cachedDateKey = key;\n cachedDayMs = Date.UTC(y, m - 1, d);\n }\n const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48);\n const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48);\n const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48);\n let ms = 0;\n if (text.charCodeAt(start + 19) === 46 && len >= 24) {\n ms =\n (text.charCodeAt(start + 20) - 48) * 100 +\n (text.charCodeAt(start + 21) - 48) * 10 +\n (text.charCodeAt(start + 22) - 48);\n }\n return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms;\n }\n const t = new Date(text.slice(start, end)).getTime();\n return Number.isFinite(t) ? t : null;\n }\n\n function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number {\n const i = text.indexOf(attrPrefix, start);\n if (i === -1 || i >= end) return 0;\n const vStart = i + attrPrefix.length;\n const j = text.indexOf('\"', vStart);\n if (j === -1 || j >= end) return 0;\n return parseFloatSlice(text, vStart, j) ?? 0;\n }\n\n // \u2500\u2500 GPX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseGPX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTrkpt = text.indexOf('');\n const name =\n (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) ||\n extractXmlTag(header, '', '') ||\n 'Unnamed Track';\n\n const gpxOpenEnd = header.indexOf('>', header.indexOf('', trkStart + 6);\n if (openEnd === -1) break;\n const trkEnd = text.indexOf('', openEnd + 1);\n if (trkEnd === -1) break;\n pos = trkEnd + 8;\n\n const lat = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lat=\"');\n const lon = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lon=\"');\n\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let temp: number | null = null;\n let speed: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = openEnd + 1;\n while (p < trkEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= trkEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= trkEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n // Skip duplicate block when primary fields already parsed\n const tagLen = gt - lt - 1;\n if (c1 === 103 && tagLen === 26 && hr !== null && cad !== null && temp !== null) {\n break;\n }\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > trkEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 3) {\n if (c1 === 101) ele = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 99 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 2) {\n if (c1 === 104 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 4) {\n if (c1 === 116) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if ((c1 === 112 || c1 === 80 || c1 === 87) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 115 || c1 === 83) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if ((c1 === 98 || c1 === 66) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 103 || c1 === 71) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if (c1 === 103) {\n if (text.charCodeAt(lt + 8) === 104 && hr === null)\n hr = parseIntSlice(text, vStart, vEnd);\n else if (gearFront === null) gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (c1 === 71 && gearFront === null) {\n gearFront = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 10) {\n if (c1 === 103 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 103 && text.charCodeAt(lt + 8) === 97 && temp === null)\n temp = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 103 || c1 === 71) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if ((c1 === 103 || c1 === 71) && gearFrontTooth === null)\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 65 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 11 && c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!points.length) throw new Error('No track points found in GPX');\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'gpx', points: pts, stats };\n }\n\n // \u2500\u2500 TCX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseTCX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTp = text.indexOf('');\n const header = firstTp !== -1 ? text.slice(0, firstTp) : text;\n\n const name = extractXmlTag(header, '', '') || 'Unnamed TCX';\n const creatorBlock = extractXmlTag(header, '', '');\n const device = creatorBlock ? extractXmlTag(creatorBlock, '', '') : null;\n\n const points: TrackPoint[] = [];\n let pos = firstTp !== -1 ? firstTp : 0;\n while (pos < text.length) {\n const tpStart = text.indexOf('', pos);\n if (tpStart === -1) break;\n const tpEnd = text.indexOf('', tpStart + 12);\n if (tpEnd === -1) break;\n pos = tpEnd + 13;\n\n let lat: number | null = null;\n let lon: number | null = null;\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let speed: number | null = null;\n let temp: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = tpStart + 12;\n while (p < tpEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= tpEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= tpEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n const tagLen = gt - lt - 1;\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > tpEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 4) {\n if (c1 === 84) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 116 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if (c1 === 86 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 87 || c1 === 80 || c1 === 112) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 83 || c1 === 115) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 66 || c1 === 98) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 71 || c1 === 103) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if ((c1 === 71 || c1 === 103) && gearFront === null)\n gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 10) {\n if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 11) {\n if (c1 === 84 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 71 || c1 === 103) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if (c1 === 65) {\n if (text.charCodeAt(lt + 2) === 108) ele = parseFloatSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if ((c1 === 71 || c1 === 103) && gearFrontTooth === null) {\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 15) {\n if (c1 === 76) lat = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 16) {\n if (c1 === 76) lon = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 2 && c1 === 104 && hr === null) {\n hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 3 && c1 === 99 && cad === null) {\n cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n if (lat == null || lon == null) continue;\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'tcx', points: pts, stats };\n }\n\n function fastDecodeFitData(buf: ArrayBuffer): any | null {\n if (buf.byteLength < 14) return null;\n const dv = new DataView(buf);\n const headerSize = dv.getUint8(0);\n if (headerSize < 12 || headerSize + 2 > buf.byteLength) return null;\n if (\n dv.getUint8(8) !== 0x2e ||\n dv.getUint8(9) !== 0x46 ||\n dv.getUint8(10) !== 0x49 ||\n dv.getUint8(11) !== 0x54\n ) {\n return null;\n }\n const dataSize = dv.getUint32(4, true);\n const endOffset = Math.min(buf.byteLength, headerSize + dataSize);\n const GARMIN_EPOCH_SEC = 631065600;\n const SEMICIRCLE_TO_DEG = 180 / Math.pow(2, 31);\n\n interface FieldDef {\n num: number;\n size: number;\n type: number;\n }\n interface MsgDef {\n littleEndian: boolean;\n globalMsgNum: number;\n fields: FieldDef[];\n recordSize: number;\n }\n const defs: (MsgDef | undefined)[] = new Array(16);\n const file_ids: any[] = [];\n const sessions: any[] = [];\n const records: any[] = [];\n const events: any[] = [];\n const device_infos: any[] = [];\n\n let offset = headerSize;\n while (offset < endOffset) {\n const hdr = dv.getUint8(offset++);\n if ((hdr & 0x80) !== 0 || (hdr & 0x20) !== 0) {\n return null; // Compressed timestamp or developer data: fallback to FitParser\n }\n const localNum = hdr & 0x0f;\n if ((hdr & 0x40) !== 0) {\n if (offset + 5 > endOffset) return null;\n offset++; // reserved\n const arch = dv.getUint8(offset++);\n const littleEndian = arch === 0;\n const globalMsgNum = dv.getUint16(offset, littleEndian);\n offset += 2;\n const numFields = dv.getUint8(offset++);\n if (offset + numFields * 3 > endOffset) return null;\n const fields: FieldDef[] = new Array(numFields);\n let recordSize = 0;\n for (let i = 0; i < numFields; i++) {\n const num = dv.getUint8(offset++);\n const size = dv.getUint8(offset++);\n const type = dv.getUint8(offset++);\n fields[i] = { num, size, type };\n recordSize += size;\n }\n defs[localNum] = { littleEndian, globalMsgNum, fields, recordSize };\n } else {\n const def = defs[localNum];\n if (!def || offset + def.recordSize > endOffset) return null;\n const le = def.littleEndian;\n const gNum = def.globalMsgNum;\n\n if (\n gNum === 20 &&\n def.fields.length === 10 &&\n def.recordSize === 25 &&\n def.fields[0].num === 253 &&\n def.fields[1].num === 0\n ) {\n const ts = dv.getUint32(offset, le);\n const rawLat = dv.getInt32(offset + 4, le);\n const rawLon = dv.getInt32(offset + 8, le);\n const rawAlt = dv.getUint16(offset + 12, le);\n const hr = dv.getUint8(offset + 14);\n const cad = dv.getUint8(offset + 15);\n const rawDist = dv.getUint32(offset + 16, le);\n const rawSpd = dv.getUint16(offset + 20, le);\n const power = dv.getUint16(offset + 22, le);\n const temp = dv.getInt8(offset + 24);\n records.push({\n timestamp: (ts + GARMIN_EPOCH_SEC) * 1000,\n position_lat: rawLat * SEMICIRCLE_TO_DEG,\n position_long: rawLon * SEMICIRCLE_TO_DEG,\n altitude: rawAlt / 5 - 500,\n heart_rate: hr,\n cadence: cad,\n distance: rawDist / 100,\n speed: (rawSpd / 1000) * 3.6,\n power,\n temperature: temp,\n });\n offset += 25;\n continue;\n }\n\n const msg: any = {};\n let fOff = offset;\n for (let i = 0; i < def.fields.length; i++) {\n const f = def.fields[i];\n let val: number = 0;\n const bType = f.type & 0x1f;\n if (f.size === 1) {\n val = bType === 1 ? dv.getInt8(fOff) : dv.getUint8(fOff);\n } else if (f.size === 2) {\n val = bType === 3 ? dv.getInt16(fOff, le) : dv.getUint16(fOff, le);\n } else if (f.size === 4) {\n val = bType === 5 ? dv.getInt32(fOff, le) : dv.getUint32(fOff, le);\n }\n msg[f.num] = val;\n fOff += f.size;\n }\n offset += def.recordSize;\n\n if (gNum === 0) {\n file_ids.push({\n type: msg[0] === 4 ? 'activity' : msg[0],\n manufacturer: msg[1] === 1 ? 'garmin' : msg[1],\n product: msg[2],\n time_created: msg[4] != null ? (msg[4] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n });\n } else if (gNum === 18) {\n const sportMap: Record = { 0: 'generic', 1: 'running', 2: 'cycling' };\n sessions.push({\n start_time: msg[2] != null ? (msg[2] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n sport: sportMap[msg[5]] ?? String(msg[5]),\n sub_sport: msg[6] === 0 ? 'generic' : String(msg[6]),\n });\n } else if (gNum === 20) {\n records.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n position_lat: msg[0] != null ? msg[0] * SEMICIRCLE_TO_DEG : undefined,\n position_long: msg[1] != null ? msg[1] * SEMICIRCLE_TO_DEG : undefined,\n altitude: msg[2] != null ? msg[2] / 5 - 500 : undefined,\n heart_rate: msg[3],\n cadence: msg[4],\n distance: msg[5] != null ? msg[5] / 100 : undefined,\n speed: msg[6] != null ? (msg[6] / 1000) * 3.6 : undefined,\n power: msg[7],\n temperature: msg[13],\n });\n } else if (gNum === 21) {\n const evName =\n msg[0] === 43\n ? 'rear_gear_change'\n : msg[0] === 42\n ? 'front_gear_change'\n : String(msg[0]);\n events.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n event: evName,\n event_type: msg[1] === 3 ? 'marker' : String(msg[1]),\n data: msg[3],\n front_gear_num: msg[9],\n rear_gear_num: msg[11],\n });\n } else if (gNum === 23) {\n device_infos.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n battery_level: msg[32],\n });\n } else {\n return null;\n }\n }\n }\n return { file_ids, sessions, sports: [], records, events, device_infos };\n }\n\n // \u2500\u2500 FIT parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseFIT(buf: ArrayBuffer): Promise {\n return new Promise((resolve, reject) => {\n const handleParsedFitData = (error: any, data: any) => {\n if (error) {\n reject(error);\n return;\n }\n try {\n const name = data.sessions?.[0]?.start_time\n ? `Fit Activity ${new Date(data.sessions[0].start_time).toISOString().split('T')[0]}`\n : 'Unnamed Fit';\n\n // Better device detection\n let device: string | null = null;\n const devices: DeviceInfo[] = [];\n let sport: string | null = null;\n let subSport: string | null = null;\n\n if (data.sports?.[0]) {\n sport = data.sports[0].sport;\n subSport = data.sports[0].sub_sport;\n } else if (data.sessions?.[0]) {\n sport = data.sessions[0].sport;\n subSport = data.sessions[0].sub_sport;\n }\n\n const getDeviceName = (d: any) =>\n d.product_name ||\n d.garmin_product ||\n d.product ||\n d.device_type ||\n d.manufacturer ||\n null;\n\n if (data.file_ids?.[0]) {\n const fid = data.file_ids[0];\n device = getDeviceName(fid);\n devices.push({\n name: fid.product_name || fid.garmin_product || fid.product,\n manufacturer: fid.manufacturer,\n serial: fid.serial_number ? String(fid.serial_number) : undefined,\n version: fid.software_version ? String(fid.software_version) : undefined,\n type: 'main',\n });\n }\n\n if (data.device_infos) {\n data.device_infos.forEach((d: any) => {\n const isMain = d.device_index === 'creator' || d.device_index === 0;\n\n if (isMain) {\n const name = getDeviceName(d);\n // Prefer a name with product_name or garmin_product over generic ones\n if (d.product_name || d.garmin_product || !device) device = name;\n\n // Update existing main device if needed\n if (devices.length > 0 && devices[0].type === 'main') {\n if (d.product_name || d.garmin_product || !devices[0].name)\n devices[0].name = d.product_name || d.garmin_product || d.product;\n\n if (!devices[0].manufacturer) devices[0].manufacturer = d.manufacturer;\n if (!devices[0].serial && d.serial_number)\n devices[0].serial = String(d.serial_number);\n if (!devices[0].version && d.software_version)\n devices[0].version = String(d.software_version);\n if (!devices[0].hardwareVersion && d.hardware_version)\n devices[0].hardwareVersion = String(d.hardware_version);\n }\n return;\n }\n\n devices.push({\n name: d.product_name || d.garmin_product || d.product || d.device_type || 'Sensor',\n manufacturer: d.manufacturer,\n serial: d.serial_number ? String(d.serial_number) : undefined,\n version: d.software_version ? String(d.software_version) : undefined,\n hardwareVersion: d.hardware_version ? String(d.hardware_version) : undefined,\n type: d.device_type || 'sensor',\n batteryStatus: d.battery_status,\n batteryVoltage: d.battery_voltage,\n batteryLevel: d.battery_level,\n sourceType: d.source_type != null ? String(d.source_type) : undefined,\n });\n });\n }\n\n if (data.sensor_settings) {\n data.sensor_settings.forEach((s: any) => {\n const name = s.name || s.product || s.sensor_type;\n if (!name) return;\n\n // Check if we already have this device (by ANT ID or name)\n const antId = s.ant_id ? String(s.ant_id) : undefined;\n const existing = devices.find(\n (d) =>\n (antId && d.serial === antId) ||\n (d.name === name && d.manufacturer === s.manufacturer),\n );\n\n if (existing) {\n if (!existing.name) existing.name = name;\n if (!existing.manufacturer) existing.manufacturer = s.manufacturer;\n if (!existing.type) existing.type = s.sensor_type;\n if (!existing.sourceType)\n existing.sourceType =\n s.connection_type != null ? String(s.connection_type) : undefined;\n } else {\n devices.push({\n name: name,\n manufacturer: s.manufacturer,\n serial: antId,\n type: s.sensor_type || 'sensor',\n sourceType: s.connection_type != null ? String(s.connection_type) : undefined,\n });\n }\n });\n }\n\n // Collect standalone device status reports (often contains head unit battery)\n // We'll store them in a sorted array for easier lookups\n const statusReports: { time: number; level: number | null; idx: number }[] = [];\n if (data.device_statuses) {\n data.device_statuses.forEach((s: any, idx: number) => {\n if (s.timestamp && s.battery_level != null) {\n statusReports.push({\n time:\n typeof s.timestamp === 'number' ? s.timestamp : new Date(s.timestamp).getTime(),\n level: s.battery_level,\n idx,\n });\n }\n });\n statusReports.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n // Collect gear events\n const gearEvents: {\n time: number;\n front: number | null;\n rear: number | null;\n frontTooth: number | null;\n rearTooth: number | null;\n idx: number;\n }[] = [];\n if (data.events) {\n data.events.forEach((e: any, idx: number) => {\n let front = e.front_gear_num ?? e.front_gear ?? null;\n let rear = e.rear_gear_num ?? e.rear_gear ?? null;\n let frontTooth = e.front_gear_num_tooth ?? null;\n let rearTooth = e.rear_gear_num_tooth ?? null;\n\n if (e.event === 'rear_gear_change' || e.event === 'front_gear_change') {\n const d = e.data;\n if (d != null) {\n const ft = (d >> 24) & 0xff;\n const fg = (d >> 16) & 0xff;\n const rt = (d >> 8) & 0xff;\n const rg = d & 0xff;\n\n if (fg !== 0) front = fg;\n if (ft !== 0) frontTooth = ft;\n if (rg !== 0) rear = rg;\n if (rt !== 0) rearTooth = rt;\n }\n }\n\n if (\n e.timestamp &&\n (front != null || rear != null || frontTooth != null || rearTooth != null)\n ) {\n gearEvents.push({\n time:\n typeof e.timestamp === 'number' ? e.timestamp : new Date(e.timestamp).getTime(),\n front,\n rear,\n frontTooth,\n rearTooth,\n idx,\n });\n }\n });\n gearEvents.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n const records = data.records || [];\n let lastBattery: number | null = null;\n let statusIdx = 0;\n let lastFrontGear: number | null = null;\n let lastRearGear: number | null = null;\n let lastFrontTooth: number | null = null;\n let lastRearTooth: number | null = null;\n let gearIdx = 0;\n\n const validPoints: TrackPoint[] = [];\n for (let ri = 0; ri < records.length; ri++) {\n const r = records[ri];\n const lat = r.position_lat;\n const lon = r.position_long;\n if (lat == null || lon == null) continue;\n\n const time =\n r.timestamp != null\n ? typeof r.timestamp === 'number'\n ? r.timestamp\n : r.timestamp instanceof Date\n ? r.timestamp.getTime()\n : new Date(r.timestamp).getTime()\n : null;\n const speed = r.speed != null ? r.speed / 3.6 : null; // km/h \u2192 m/s\n\n let battery = r.battery_level ?? null;\n\n // If not in record, check our status reports\n if (battery == null && time) {\n // Catch up statusIdx to current time\n while (statusIdx < statusReports.length && statusReports[statusIdx].time <= time) {\n lastBattery = statusReports[statusIdx].level;\n statusIdx++;\n }\n battery = lastBattery;\n } else if (battery != null) {\n lastBattery = battery;\n }\n\n // Update gear state from events\n if (time) {\n while (gearIdx < gearEvents.length && gearEvents[gearIdx].time <= time) {\n const e = gearEvents[gearIdx];\n if (e.front != null) lastFrontGear = e.front;\n if (e.rear != null) lastRearGear = e.rear;\n if (e.frontTooth != null) lastFrontTooth = e.frontTooth;\n if (e.rearTooth != null) lastRearTooth = e.rearTooth;\n gearIdx++;\n }\n }\n\n const gearFront: number | null = r.front_gear_num ?? r.front_gear ?? lastFrontGear;\n const gearRear: number | null = r.rear_gear_num ?? r.rear_gear ?? lastRearGear;\n const gearFrontTooth: number | null = r.front_gear_num_tooth ?? lastFrontTooth;\n const gearRearTooth: number | null = r.rear_gear_num_tooth ?? lastRearTooth;\n\n if (r.front_gear_num != null || r.front_gear != null) lastFrontGear = gearFront;\n if (r.rear_gear_num != null || r.rear_gear != null) lastRearGear = gearRear;\n if (r.front_gear_num_tooth != null) lastFrontTooth = gearFrontTooth;\n if (r.rear_gear_num_tooth != null) lastRearTooth = gearRearTooth;\n\n const gears =\n gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0\n ? gearFrontTooth / gearRearTooth\n : null;\n\n validPoints.push({\n lat,\n lon,\n ele: r.altitude ?? r.enhanced_altitude ?? null,\n time,\n hr: r.heart_rate ?? null,\n cad: r.cadence ?? null,\n power: r.power ?? null,\n speed,\n temp: r.temperature ?? null,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!validPoints.length) {\n reject(new Error('FIT file has no GPS points'));\n return;\n }\n\n const pts = enrichPoints(validPoints);\n const stats = computeStats(pts);\n resolve({ name, device, devices, format: 'fit', points: pts, stats, sport, subSport });\n } catch (ex) {\n reject(ex);\n }\n };\n\n const fastData = fastDecodeFitData(buf);\n if (fastData) {\n handleParsedFitData(null, fastData);\n return;\n }\n\n const fitParser = new FitParser({\n force: true,\n speedUnit: 'km/h',\n lengthUnit: 'm',\n temperatureUnit: 'celsius',\n elapsedRecordField: true,\n });\n\n fitParser.parse(buf, handleParsedFitData);\n });\n }\n\n // \u2500\u2500 KML parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseKML(buf: ArrayBuffer): any {\n const text = new TextDecoder().decode(buf);\n const doc = new DOMParser().parseFromString(text, 'application/xml');\n\n let name = 'Unnamed Track';\n const nameEl = doc.querySelector('Document > name, Placemark > name');\n if (nameEl) name = nameEl.textContent?.trim() || name;\n\n // Track: look for gx:Track or LineString\n const coordEls = doc.querySelectorAll('coordinates');\n if (!coordEls.length) throw new Error('No coordinates found in KML');\n\n const points: TrackPoint[] = [];\n coordEls.forEach((el) => {\n const lines = el.textContent?.trim().split(/\\s+/) || [];\n lines.forEach((line) => {\n const parts = line.split(',');\n if (parts.length < 2) return;\n const lon = parseFloat(parts[0]);\n const lat = parseFloat(parts[1]);\n const ele = parts.length > 2 ? parseFloat(parts[2]) : null;\n if (isNaN(lat) || isNaN(lon)) return;\n points.push({\n lat,\n lon,\n ele: ele != null && isNaN(ele) ? null : ele,\n time: null,\n hr: null,\n cad: null,\n power: null,\n speed: null,\n temp: null,\n gearFront: null,\n gearRear: null,\n gearFrontTooth: null,\n gearRearTooth: null,\n battery: null,\n gears: null,\n });\n });\n });\n\n if (!points.length) throw new Error('No valid coordinates in KML');\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, format: 'kml', points: pts, stats };\n }\n\n // \u2500\u2500 Public: dispatch by extension \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n async function parseFile(file: File): Promise {\n const ext = file.name.split('.').pop()?.toLowerCase();\n const buf: ArrayBuffer = (file as any)._buf ?? (await file.arrayBuffer());\n const predecodedText: string | undefined = (file as any)._text;\n let result: any;\n switch (ext) {\n case 'gpx':\n result = parseGPX(buf, predecodedText);\n break;\n case 'tcx':\n result = parseTCX(buf, predecodedText);\n break;\n case 'fit':\n result = await parseFIT(buf);\n break;\n case 'kml':\n result = parseKML(buf);\n break;\n default:\n throw new Error(`Unsupported format: .${ext}`);\n }\n\n if (result) {\n result.fileName = file.name;\n result.fileSize = file.size;\n if (result.points && result.stats) {\n ensureCurvesAndZones(result);\n result.stats.sections = analyzeTrackSections(result.points);\n }\n }\n return result;\n }\n\n return {\n parseFile,\n computeStats,\n ensureCurvesAndZones,\n analyzeTrackSections,\n findOverlaps,\n calculatePowerCurve,\n calculateHRCurve,\n calculatePowerZones,\n calculateHRZones,\n enrichPoints,\n setHRZones,\n getHRZones,\n setFTP,\n getFTP,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number {\n const R = 6371e3; // Earth radius in metres\n const phi1 = (lat1 * Math.PI) / 180;\n const phi2 = (lat2 * Math.PI) / 180;\n const deltaPhi = ((lat2 - lat1) * Math.PI) / 180;\n const deltaLambda = ((lon2 - lon1) * Math.PI) / 180;\n\n const a =\n Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) +\n Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2);\n const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n\n return R * c;\n}\n\nexport function compactId(timestamp: number): string {\n // Use a compact representation of the timestamp (seconds since epoch)\n // 1712650000 -> Base64\n const buf = new Uint32Array([Math.floor(timestamp / 1000)]);\n const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer)));\n return b64.replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n}\n\nexport function generateId(): string {\n return Math.random().toString(36).slice(2, 10);\n}\n\nexport function shortRandom(): string {\n return Math.random().toString(36).slice(2, 6);\n}\n\nexport function fmtDuration(s: number): string {\n if (s < 60) return `${Math.round(s)}s`;\n if (s < 3600) return `${Math.round(s / 60)}m`;\n return `${Math.round(s / 3600)}h`;\n}\n\nexport function fmtSecs(s: number): string {\n const h = Math.floor(s / 3600),\n m = Math.floor((s % 3600) / 60);\n return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`;\n}\n\nexport function fmtPace(seconds: number | null): string {\n if (seconds == null || !isFinite(seconds)) return '--';\n const mins = Math.floor(seconds / 60);\n const secs = Math.round(seconds % 60);\n return `${mins}:${secs.toString().padStart(2, '0')}`;\n}\n\nexport function fmtDate(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown date';\n return d.toISOString().split('T')[0];\n}\n\nexport function fmtDateTime(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown';\n const iso = d.toISOString();\n return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`;\n}\n\nexport function fmtFileSize(bytes: number): string {\n if (bytes === 0) return '0 B';\n const k = 1024;\n const sizes = ['B', 'KB', 'MB', 'GB'];\n const i = Math.floor(Math.log(bytes) / Math.log(k));\n return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\nexport function escHtml(str: string): string {\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"');\n}\n\nexport function getTagColor(name: string): string {\n let hash = 0;\n for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash);\n\n const h = Math.abs(hash % 360);\n return `hsl(${h}, 70%, 65%)`;\n}\n\n/**\n * Smoothes a numeric array using a simple Gaussian kernel.\n * sigma: standard deviation (radius of smoothing)\n */\nexport function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] {\n if (sigma <= 0) return data;\n\n const size = Math.ceil(sigma * 3) * 2 + 1;\n const kernel = new Float32Array(size);\n const half = Math.floor(size / 2);\n let sum = 0;\n\n for (let i = 0; i < size; i++) {\n const x = i - half;\n kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma));\n sum += kernel[i];\n }\n for (let i = 0; i < size; i++) kernel[i] /= sum;\n\n const result: (number | null)[] = new Array(data.length);\n for (let i = 0; i < data.length; i++) {\n if (data[i] === null) {\n result[i] = null;\n continue;\n }\n\n let val = 0;\n let weightSum = 0;\n for (let k = 0; k < size; k++) {\n const idx = i + k - half;\n if (idx >= 0 && idx < data.length && data[idx] !== null) {\n val += data[idx]! * kernel[k];\n weightSum += kernel[k];\n }\n }\n result[i] = weightSum > 0 ? val / weightSum : data[i];\n }\n return result;\n}\n\nexport function hexToRgba(hex: string, alpha: number = 1): string {\n const r = parseInt(hex.slice(1, 3), 16);\n const g = parseInt(hex.slice(3, 5), 16);\n const b = parseInt(hex.slice(5, 7), 16);\n return `rgba(${r}, ${g}, ${b}, ${alpha})`;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, TrackPoint } from './parsers';\n\nexport const MapView = (() => {\n let trackData: Record = {};\n let customClickHandler: ((e: any) => boolean) | null = null;\n\n function init(\n onSelectCb: (id: string) => void,\n onMoveCb: (lat: number, lng: number, zoom: number) => void,\n onPointClickCb: (id: string, idx: number) => void,\n onPointHoverCb: (id: string | null, idx: number | null) => void,\n onDblClickCb: () => void,\n ) {}\n\n function switchBasemap(layer: string) {}\n function addTrack(t: TrackData) {\n trackData[t.id] = t;\n }\n function addTracks(ts: TrackData[]) {\n ts.forEach((t) => {\n trackData[t.id] = t;\n });\n }\n function removeTrack(id: string) {\n delete trackData[id];\n }\n function clearTracks() {\n trackData = {};\n }\n function removeAllTracks() {\n trackData = {};\n }\n function setTrackVisible(id: string, visible: boolean) {}\n function setSelectedTrack(id: string | null, fit: boolean) {}\n function fitAll() {}\n function fitTrack(id: string) {}\n function showCursorAt(lat: number, lon: number) {}\n function hideCursor() {}\n function highlightSegment(\n id: string | null,\n pts: TrackPoint[],\n start: number,\n end: number,\n fit?: boolean,\n colors?: string[] | null,\n ) {}\n function clearHighlight() {}\n function setTrackHover(id: string, hover: boolean) {}\n function ensureVisible(pts: any) {}\n function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {}\n function closePopup() {}\n function invalidateSize() {}\n function getPosition(): [number, number, number] {\n return [0, 0, 0];\n }\n function setPosition(lat: number, lng: number, zoom: number) {}\n function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {}\n function clearMetricColor(id: string) {}\n\n function findTracksPassingThroughPoints(\n points: { lat: number; lng: number }[],\n radius: number,\n ): string[] {\n return Object.keys(trackData);\n }\n\n return {\n init,\n getMap: () => null as any,\n setCustomClickHandler: (handler: any) => {\n customClickHandler = handler;\n },\n switchBasemap,\n addTrack,\n addTracks,\n removeTrack,\n clearTracks,\n removeAllTracks,\n setTrackVisible,\n setSelectedTrack,\n fitAll,\n fitTrack,\n showCursorAt,\n hideCursor,\n highlightSegment,\n clearHighlight,\n setTrackHover,\n ensureVisible,\n centerOn,\n closePopup,\n invalidateSize,\n getPosition,\n setPosition,\n colorTrackByMetric,\n clearMetricColor,\n findTracksPassingThroughPoints,\n getTrackData: (id: string) => trackData[id],\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackPoint, TrackStats, TrackData } from './parsers';\nimport { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils';\nimport { Zones } from './zones';\nimport { METRICS, MetricDefinition } from './metrics';\nimport { UrlState } from './url-state';\nimport { SPORTS } from './sports';\n\n// Augment uPlot to include our custom property\n\ninterface WegPlot extends uPlot {\n _strasse?: {\n selFill: HTMLElement;\n anchorLine: HTMLElement;\n anchorLabel: HTMLElement;\n anchorHandle: HTMLElement;\n anchorMarker: HTMLElement;\n endLine: HTMLElement;\n endLabel: HTMLElement;\n endHandle: HTMLElement;\n endMarker: HTMLElement;\n curYVal: HTMLElement;\n updateHeaderStats: (min: number, max: number) => void;\n };\n}\n\ninterface PlotData {\n uplot: WegPlot;\n row: HTMLDivElement;\n xData: number[];\n yData: (number | null)[];\n def: MetricDefinition;\n metricKey: string;\n statsTotalEl: HTMLDivElement;\n statsSelEl: HTMLDivElement;\n histCol: HTMLDivElement;\n histCanvas: HTMLCanvasElement;\n histData: HistData;\n hoveredHistY: number | null;\n pinnedHistY: number | null;\n smoothed?: boolean;\n incZero?: boolean;\n w?: number;\n}\n\ninterface HistData {\n yData: (number | null)[];\n xData: number[];\n def: MetricDefinition;\n BINS: number;\n plot?: PlotData;\n bins?: number[];\n binAccum?: number[];\n min?: number;\n max?: number;\n padL?: number;\n selBins?: number[] | null;\n selBinAccum?: number[] | null;\n _lastYData?: any;\n _lastSelRange?: [number, number] | null;\n fullStats?: { min: number; max: number; avg: number } | null;\n fullStatsAll?: { min: number; max: number; avg: number } | null;\n}\n\nexport const ChartView = (() => {\n let plots: PlotData[] = [];\n let renderedTrack: TrackData | null = null;\n let renderedXAxis: string = 'time';\n let renderedSpeedMode: string = 'speed';\n let renderedMapColorMetric: string | null = null;\n let syncKey: {\n key: string;\n sub: (u: uPlot) => void;\n unsub: (u: uPlot) => void;\n pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void;\n } | null = null;\n let scaleSyncing: boolean = false;\n let cursorSyncing: boolean = false;\n let activeMetrics: Set = new Set(['elevation']);\n let availableMetrics: Set = new Set();\n let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']);\n let metricsIncludingZero: Set = new Set(['power']);\n let xAxis: string = 'time';\n let currentTrack: TrackData | null = null;\n let allTracks: TrackData[] = [];\n\n // Selection / anchor\n let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge\n let selEndVal: number | null = null; // x-value at zoom right edge\n let isDragging: boolean = false;\n let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag\n let pinnedPtIdx: number | null = null; // point index pinned by map click\n let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center\n let lastHistMouseEvent: MouseEvent | null = null;\n let hoveredHistData: HistData | null = null;\n let hoveredHistCanvas: HTMLCanvasElement | null = null;\n\n let currentXRange: [number, number] | null = null; // [min, max] currently rendered\n let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation\n let animId: number | null = null;\n\n // Callbacks\n let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null;\n let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null =\n null;\n let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null;\n let onPinChangeCb: ((idx: number | null) => void) | null = null;\n\n const HIST_W: number = 130;\n const ROW_BODY_PADDING: number = 28; // 14px left + 14px right\n const HIST_GAP: number = 20; // margin-left on .hist-col\n let statsVisible: boolean = true;\n let histTooltipEl: HTMLElement | null = null;\n let container: HTMLElement | null = null;\n let emptyEl: HTMLElement | null = null;\n let selStatsEl: HTMLElement | null = null;\n let resetSelBtn: HTMLElement | null = null;\n let mapColorMetric: string | null = null;\n let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null =\n null;\n\n // \u2500\u2500 Init \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function init(\n onCursorMove: (pt: TrackPoint | null) => void,\n onRangeChange: (min: number | null, max: number | null, axis: string) => void,\n onClick: (pt: TrackPoint, idx: number) => void,\n onPinChange: (idx: number | null) => void,\n ) {\n onCursorMoveCb = onCursorMove;\n onRangeChangeCb = onRangeChange;\n onClickCb = onClick;\n onPinChangeCb = onPinChange;\n container = document.getElementById('charts-container');\n container?.addEventListener('scroll', () => {\n if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData)\n updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData);\n });\n emptyEl = document.getElementById('chart-empty');\n selStatsEl = document.getElementById('chart-stats-sel');\n resetSelBtn = document.getElementById('btn-reset-selection');\n histTooltipEl = document.getElementById('hist-tooltip');\n syncKey = uPlot.sync('strasse-sync');\n\n document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection);\n resetSelBtn?.classList.add('hidden');\n\n // \u2500\u2500 WASD Keyboard Navigation \u2500\u2500\n const navKeys = new Set(['w', 'a', 's', 'd']);\n const activeNavKeys = new Set();\n\n document.addEventListener('keydown', (e) => {\n if (!plots.length || !currentTrack) return;\n if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return;\n\n const key = e.key.toLowerCase();\n if (!navKeys.has(key)) return;\n\n e.preventDefault();\n activeNavKeys.add(key);\n\n const u = plots[0].uplot;\n if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!];\n\n let [min, max] = targetXRange;\n const span = max - min;\n const moveStep = span * 0.1;\n const zoomFactor = 0.15;\n\n let newMin = min,\n newMax = max;\n\n if (key === 'a') {\n // Pan left\n newMin = min - moveStep;\n newMax = max - moveStep;\n } else if (key === 'd') {\n // Pan right\n newMin = min + moveStep;\n newMax = max + moveStep;\n } else if (key === 'w' || key === 's') {\n // Zoom\n const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2;\n const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2;\n newMin = center - (center - min) * factor;\n newMax = center + (max - center) * factor;\n }\n\n // Clamp to track bounds\n const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!];\n if (newMin < xFull[0]) {\n const d = xFull[0] - newMin;\n newMin += d;\n newMax += d;\n }\n if (newMax > xFull[1]) {\n const d = newMax - xFull[1];\n newMin -= d;\n newMax -= d;\n }\n newMin = Math.max(xFull[0], newMin);\n newMax = Math.min(xFull[1], newMax);\n\n if (newMax - newMin > 0.001) {\n targetXRange = [newMin, newMax];\n setVisibleRange(newMin, newMax, true); // true = animate\n }\n });\n\n document.addEventListener('keyup', (e) => {\n const key = e.key.toLowerCase();\n if (navKeys.has(key)) activeNavKeys.delete(key);\n });\n }\n\n function setVisibleRange(min: number, max: number, animate = false) {\n if (!plots.length) return;\n if (!animate) {\n plots.forEach(({ uplot: u }) => u.setScale('x', { min, max }));\n return;\n }\n\n const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number;\n const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number;\n\n if (animId) cancelAnimationFrame(animId);\n\n const lerp = (a: number, b: number, t: number) => a + (b - a) * t;\n const factor = 0.25; // Smoothing factor\n\n const step = () => {\n if (!targetXRange) return;\n const [tMin, tMax] = targetXRange;\n\n const cMin = lerp(currentXRange![0], tMin, factor);\n const cMax = lerp(currentXRange![1], tMax, factor);\n\n plots.forEach(({ uplot: u }) => {\n u.setScale('x', { min: cMin, max: cMax });\n });\n\n if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001)\n animId = requestAnimationFrame(step);\n else animId = null;\n };\n animId = requestAnimationFrame(step);\n }\n\n // \u2500\u2500 Public API \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n allTracks = others;\n\n // Detect which metrics are available in this file\n availableMetrics = new Set(\n Object.entries(METRICS)\n .filter(([, def]) => track.points.some((p) => p[def.field] != null))\n .map(([key]) => key),\n );\n\n // If no metrics are active (e.g. first load), default to core overview metrics\n if (activeMetrics.size === 0) {\n activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m)));\n }\n\n // Sync the pill buttons in the toolbar\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n const metric = pill.dataset.metric!;\n const isAvailable = availableMetrics.has(metric);\n pill.classList.toggle('active', isAvailable && activeMetrics.has(metric));\n pill.classList.toggle('disabled', !isAvailable);\n });\n\n currentTrack = track;\n if (deferRender) {\n updateStats(track);\n } else {\n render();\n }\n }\n\n function clear() {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n currentTrack = null;\n destroyPlots();\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
Select a track to view analysis
\n `;\n }\n const chartStats = document.getElementById('chart-stats');\n if (chartStats) chartStats.classList.add('hidden');\n clearSelectionStats();\n mapColorMetric = null;\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n }\n\n function resetState() {\n if (animId !== null) {\n cancelAnimationFrame(animId);\n animId = null;\n }\n activeMetrics = new Set(['elevation']);\n availableMetrics = new Set();\n smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']);\n metricsIncludingZero = new Set(['power']);\n xAxis = 'time';\n allTracks = [];\n currentXRange = null;\n targetXRange = null;\n lastMouseXVal = null;\n lastHistMouseEvent = null;\n hoveredHistData = null;\n hoveredHistCanvas = null;\n statsVisible = true;\n clear();\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n pill.classList.remove('disabled', 'overflow-hidden');\n });\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.add('hidden');\n const toolbar = document.getElementById('chart-toolbar');\n if (toolbar) toolbar.classList.remove('collapsed');\n document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time');\n });\n }\n\n function toggleMetric(key: string) {\n if (activeMetrics.has(key)) activeMetrics.delete(key);\n else activeMetrics.add(key);\n if (currentTrack) render(true);\n }\n\n function setSmooth(metricKey: string, enabled: boolean, skipRender = false) {\n const has = smoothedMetrics.has(metricKey);\n if (enabled && !has) {\n smoothedMetrics.add(metricKey);\n if (currentTrack && !skipRender) render(true);\n } else if (!enabled && has) {\n smoothedMetrics.delete(metricKey);\n if (currentTrack && !skipRender) render(true);\n }\n }\n\n function setZeroInclusion(metricKey: string, includeZero: boolean) {\n const has = metricsIncludingZero.has(metricKey);\n if (includeZero && !has) {\n metricsIncludingZero.add(metricKey);\n if (currentTrack) render(true);\n } else if (!includeZero && has) {\n metricsIncludingZero.delete(metricKey);\n if (currentTrack) render(true);\n }\n }\n\n function setActiveMetrics(keys: string[]) {\n activeMetrics = new Set(keys);\n if (currentTrack) render(true);\n // Sync the pill buttons\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n });\n }\n\n function setXAxis(axis: string) {\n if (xAxis === axis || !currentTrack) {\n xAxis = axis;\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n\n // Helper to convert a value from OLD axis to NEW axis\n const convert = (val: number | null) => {\n if (val === null) return null;\n // We need to find the point index closest to 'val' on the OLD axis\n let idx = 0;\n if (xAxis === 'distance') {\n const dTarget = val * 1000;\n idx = pts.findIndex((p) => (p.dist || 0) >= dTarget);\n } else {\n const tTarget = t0 + val * 1000;\n idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n }\n if (idx === -1) idx = pts.length - 1;\n\n // Now get the value at this index on the NEW axis\n if (axis === 'distance') return (pts[idx].dist || 0) / 1000;\n else return ((pts[idx].time || t0) - t0) / 1000;\n };\n\n // Convert selection\n if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal);\n if (selEndVal !== null) selEndVal = convert(selEndVal);\n\n // Convert zoom range (from first plot)\n let newRange: [number, number] | null = null;\n if (plots.length) {\n const u = plots[0].uplot;\n const r0 = convert(u.scales.x!.min!);\n const r1 = convert(u.scales.x!.max!);\n if (r0 !== null && r1 !== null) newRange = [r0, r1];\n }\n\n xAxis = axis;\n render(true);\n\n // Apply converted zoom\n if (newRange) {\n scaleSyncing = true;\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] }));\n });\n scaleSyncing = false;\n }\n }\n\n function toggleStats() {\n statsVisible = !statsVisible;\n plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible));\n resize();\n }\n\n function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) {\n onMapColorChangeCb = cb;\n }\n\n function toggleMapColor(key: string | null, skipRender = false) {\n if (mapColorMetric === key || key === null) {\n mapColorMetric = null;\n _updateMapColorBtns();\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n } else {\n mapColorMetric = key;\n _updateMapColorBtns();\n _fireMapColorCb();\n }\n // Re-render to show/hide colored fills on the graphs\n if (currentTrack && !skipRender) render(true);\n }\n\n function _updateMapColorBtns() {\n document.querySelectorAll('.map-color-btn').forEach((el) => {\n const b = el as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === mapColorMetric);\n });\n }\n\n function _fireMapColorCb() {\n if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return;\n const plot = plots.find((p) => p.metricKey === mapColorMetric);\n if (!plot) return;\n const colors = _computePointColors(mapColorMetric, plot.yData);\n onMapColorChangeCb({ pts: currentTrack.points, colors });\n }\n\n function _computePointColors(key: string, yData: (number | null)[]): string[] {\n const vals = yData.filter((v): v is number => v != null && isFinite(v));\n if (!vals.length) return yData.map(() => '#888896');\n const min = Math.min(...vals),\n max = Math.max(...vals);\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n return yData.map((v) => {\n if (v == null || !isFinite(v)) return '#888896';\n if (key === 'gradient') return gradientColor(v);\n if (key === 'speed') {\n if (speedMode === 'pace') {\n const speed = (paceUnit === 'km' ? 1000 : 100) / v;\n return speedColor(speed);\n }\n return speedColor(v);\n }\n const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min)));\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25);\n if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25);\n if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25);\n return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25);\n });\n }\n\n function resetZoom() {\n cancelSelection();\n }\n\n function cancelSelection() {\n selAnchorVal = null;\n selEndVal = null;\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n\n // Reset individual histogram pins\n plots.forEach((p) => {\n p.pinnedHistY = null;\n });\n\n updateSelOverlay();\n redrawHistograms();\n\n // Perform the actual zoom reset\n scaleSyncing = true;\n plots.forEach(({ uplot: u, xData }) => {\n u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! }));\n u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!);\n });\n scaleSyncing = false;\n\n if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis);\n }\n\n function setSelectionStats(stats: TrackStats) {\n if (!selStatsEl) return;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt(\n 'sel-distance',\n stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '\u2014',\n );\n fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '\u2014');\n fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '\u2014');\n fmt(\n 'sel-avg-speed',\n stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014',\n );\n fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '\u2014');\n fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '\u2014');\n fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n selStatsEl.classList.remove('hidden');\n if (resetSelBtn) resetSelBtn.classList.remove('hidden');\n }\n\n function clearSelectionStats() {\n if (selStatsEl) selStatsEl.classList.add('hidden');\n if (resetSelBtn) resetSelBtn.classList.add('hidden');\n [\n 'sel-distance',\n 'sel-duration',\n 'sel-elevation',\n 'sel-avg-speed',\n 'sel-avg-power',\n 'sel-avg-hr',\n 'sel-avg-temp',\n ].forEach((id) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = '--';\n });\n }\n\n // Called on boot to restore a saved selection without re-firing onRangeChangeCb\n // xMin/xMax are ALWAYS provided in Time (seconds from start)\n function restoreSelection(tMin: number, tMax: number, deferRender = false) {\n if (!currentTrack) return;\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000;\n\n // If values look like absolute timestamps in ms, convert to seconds from start\n if (tMin > 1e12) tMin = (tMin - t0) / 1000;\n if (tMax > 1e12) tMax = (tMax - t0) / 1000;\n\n // Crop to max limits of the track\n tMin = Math.max(0, Math.min(tMin, totalDuration));\n tMax = Math.max(0, Math.min(tMax, totalDuration));\n\n const convert = (tOffset: number) => {\n if (xAxis === 'time') return tOffset;\n const tTarget = t0 + tOffset * 1000;\n let idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n if (idx === -1) idx = pts.length - 1;\n return (pts[idx].dist || 0) / 1000;\n };\n\n const xMin = convert(tMin);\n const xMax = convert(tMax);\n\n selAnchorVal = xMin;\n selEndVal = xMax;\n currentXRange = [xMin, xMax];\n if (deferRender) return;\n scaleSyncing = true; // suppress the setScale \u2192 onRangeChangeCb loop\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: xMin, max: xMax }));\n });\n scaleSyncing = false;\n updateAnchorLines();\n redrawHistograms();\n }\n\n function resize() {\n if (!plots.length || !container) return;\n const w = Math.round(\n Math.max(\n 100,\n container.getBoundingClientRect().width -\n ROW_BODY_PADDING -\n (statsVisible ? HIST_W + HIST_GAP : 0),\n ),\n );\n let anyResized = false;\n plots.forEach(({ uplot: u, histCanvas, histData }) => {\n if (w !== u.width) {\n u.setSize({ width: w, height: u.height });\n anyResized = true;\n if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height);\n }\n });\n if (anyResized) updateSelOverlay();\n }\n\n // \u2500\u2500 Render \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function render(keepState = false) {\n let savedRange: [number, number] | null = null;\n let savedScroll = 0;\n if (keepState && container) savedScroll = container.scrollTop;\n\n if (keepState && currentXRange) {\n savedRange = [currentXRange[0], currentXRange[1]];\n } else if (keepState && plots.length) {\n const u = plots[0].uplot;\n savedRange = [u.scales.x!.min!, u.scales.x!.max!];\n }\n\n if (!currentTrack) {\n destroyPlots(keepState);\n return;\n }\n const pts = currentTrack.points;\n if (!pts.length) {\n destroyPlots(keepState);\n return;\n }\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n const available = [...activeMetrics].filter((m) =>\n pts.some((p) => p[METRICS[m].field] != null),\n );\n if (!available.length) {\n destroyPlots(keepState);\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
No data for selected metrics
\n `;\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n\n const containerW = container ? container.getBoundingClientRect().width : 800;\n const w = Math.round(\n Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)),\n );\n\n const canReuse =\n keepState &&\n renderedTrack === currentTrack &&\n renderedXAxis === xAxis &&\n renderedSpeedMode === speedMode &&\n renderedMapColorMetric === mapColorMetric &&\n plots.length > 0;\n\n let xData: (number | null)[];\n if (canReuse) {\n xData = plots[0].xData;\n } else if (xAxis === 'distance') {\n xData = pts.map((p) => (p.dist || 0) / 1000);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n let lastValidX = 0;\n xData = pts.map((p) => {\n if (p.time != null) {\n lastValidX = (p.time - t0) / 1000;\n return lastValidX;\n }\n return lastValidX; // monotonic fallback\n });\n }\n\n const existingByKey = new Map();\n if (canReuse) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const availSet = new Set(available);\n for (const p of plots) {\n const isSmoothed = smoothedMetrics.has(p.metricKey);\n const isIncZero = metricsIncludingZero.has(p.metricKey);\n if (\n availSet.has(p.metricKey) &&\n p.smoothed === isSmoothed &&\n p.incZero === isIncZero &&\n p.w === w\n ) {\n existingByKey.set(p.metricKey, p);\n } else {\n syncKey!.unsub(p.uplot);\n p.uplot.destroy();\n p.row.remove();\n }\n }\n plots = [];\n } else {\n destroyPlots(keepState);\n }\n\n if (container) {\n const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null);\n let nextExisting: HTMLElement | null = null;\n for (let i = available.length - 1; i >= 0; i--) {\n nextSiblingRows[i] = nextExisting;\n const ex = existingByKey.get(available[i]);\n if (ex) nextExisting = ex.row;\n }\n\n available.forEach((key, idx) => {\n const reused = existingByKey.get(key);\n if (reused) {\n plots.push(reused);\n const uplot = reused.uplot;\n const s = (uplot as any)._strasse;\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n uplot.batch(() => {\n if (\n savedRange &&\n (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1])\n ) {\n uplot.setScale('x', { min: savedRange[0], max: savedRange[1] });\n } else {\n s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot);\n uplot.redraw(false);\n }\n });\n scaleSyncing = prevSync;\n\n let initHoverBinI: number | null = null;\n if (\n pinnedPtIdx != null &&\n reused.xData[pinnedPtIdx] != null &&\n reused.yData[pinnedPtIdx] != null\n ) {\n buildHistBins(reused.histData);\n if (reused.histData.min != null && reused.histData.max != null) {\n const span = reused.histData.max - reused.histData.min || 1;\n initHoverBinI = Math.min(\n reused.histData.BINS - 1,\n Math.floor(\n ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) *\n reused.histData.BINS,\n ),\n );\n reused.hoveredHistY = reused.yData[pinnedPtIdx];\n }\n }\n drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI);\n return;\n }\n\n let def = METRICS[key];\n\n let transform = def.transform;\n let fmt = def.fmt;\n let fmtAxis = def.fmtAxis;\n let unit = def.unit;\n let label = def.label;\n\n if (key === 'speed' && speedMode === 'pace') {\n label = 'Pace';\n unit = `min/${paceUnit}`;\n fmt = (v) => fmtPace(v);\n fmtAxis = (v) => fmtPace(v);\n transform = (v) => {\n if (v == null || v < 0.1) return null;\n return (paceUnit === 'km' ? 1000 : 100) / v;\n };\n\n def = { ...def, label, unit, fmt, fmtAxis, transform };\n }\n\n let yData = def.compute\n ? def.compute(pts, fillNulls)\n : fillNulls(\n pts.map((p) => {\n const v = p[def.field] as number;\n return v != null && transform ? transform(v) : v;\n }),\n );\n\n if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2);\n\n createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]);\n });\n }\n\n renderedTrack = currentTrack;\n renderedXAxis = xAxis;\n renderedSpeedMode = speedMode;\n renderedMapColorMetric = mapColorMetric;\n\n updateStats(currentTrack);\n // Restore anchor/end lines if a selection was active\n if (selAnchorVal != null && selEndVal != null) updateAnchorLines();\n // Re-apply map color if active\n _updateMapColorBtns();\n if (mapColorMetric) _fireMapColorCb();\n\n if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll;\n }\n\n // \u2500\u2500 Create one chart row \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function createChart(\n metricKey: string,\n def: MetricDefinition,\n xData: (number | null)[],\n yData: (number | null)[],\n w: number,\n pts: TrackPoint[],\n initialRange: [number, number] | null = null,\n insertBeforeEl: HTMLElement | null = null,\n ) {\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n\n // Gradient data: smooth over a 20 m distance window (\u00B110 m each side)\n const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null;\n const row = document.createElement('div');\n row.className = 'chart-row';\n row.dataset.metric = metricKey;\n row.style.setProperty('--chart-color', def.color);\n\n // Header\n const header = document.createElement('div');\n header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`;\n\n const labelEl = document.createElement('div');\n labelEl.className = 'chart-row-label-group';\n labelEl.innerHTML = `\n ${def.icon}\n ${def.label}\n `;\n\n // Smoothing toggle\n const smoothBtn = document.createElement('button');\n smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`;\n smoothBtn.title = 'Toggle data smoothing';\n smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`;\n smoothBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey);\n else smoothedMetrics.add(metricKey);\n\n render(true); // Re-render all charts to keep sync if needed (though only this one changes data)\n });\n\n const mapColorBtn = document.createElement('button');\n\n mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`;\n mapColorBtn.dataset.metric = metricKey;\n mapColorBtn.title = 'Color map track by this metric';\n mapColorBtn.innerHTML = 'colorize';\n mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey));\n\n // Zero-filter toggle (Cadence/Power/Speed)\n let zeroBtn: HTMLButtonElement | null = null;\n if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') {\n zeroBtn = document.createElement('button');\n const incZero = metricsIncludingZero.has(metricKey);\n zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`;\n zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values';\n zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`;\n zeroBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey);\n else metricsIncludingZero.add(metricKey);\n render(true);\n });\n }\n\n const statsTotalEl = document.createElement('div');\n statsTotalEl.className = 'chart-stats-total';\n\n const statsSelEl = document.createElement('div');\n statsSelEl.className = 'chart-stats-selection';\n\n const statsContainer = document.createElement('div');\n statsContainer.className = 'chart-row-stats-container';\n statsContainer.append(statsTotalEl, statsSelEl);\n\n const actionsEl = document.createElement('div');\n actionsEl.className = 'chart-row-actions';\n actionsEl.append(smoothBtn, mapColorBtn);\n\n const rightActionsEl = document.createElement('div');\n rightActionsEl.className = 'chart-row-right-actions';\n\n if (metricKey === 'speed') {\n const paceToggle = document.createElement('div');\n paceToggle.className = 'seg-ctrl';\n paceToggle.innerHTML = `\n \n \n `;\n paceToggle.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const mode = btn.dataset.mode;\n if (mode === 'speed' || mode === 'pace') {\n const isDefault = mode === defaultMode;\n UrlState.patch({ speed_mode: isDefault ? null : mode });\n render(true);\n }\n });\n rightActionsEl.append(paceToggle);\n }\n\n if (zeroBtn) rightActionsEl.append(zeroBtn);\n\n header.append(labelEl, actionsEl, statsContainer, rightActionsEl);\n\n const rowBody = document.createElement('div');\n rowBody.className = 'chart-row-body';\n\n const plotEl = document.createElement('div');\n plotEl.style.position = 'relative';\n rowBody.appendChild(plotEl);\n\n const fixedMinLabel = document.createElement('div');\n fixedMinLabel.className = 'fixed-x-label fixed-x-min';\n const fixedMaxLabel = document.createElement('div');\n fixedMaxLabel.className = 'fixed-x-label fixed-x-max';\n plotEl.append(fixedMinLabel, fixedMaxLabel);\n\n const histCol = document.createElement('div');\n histCol.className = `hist-col${statsVisible ? ' visible' : ''}`;\n const histCanvas = document.createElement('canvas');\n histCanvas.className = 'hist-canvas';\n histCol.appendChild(histCanvas);\n rowBody.appendChild(histCol);\n\n row.append(header, rowBody);\n\n const isDistAxis = xAxis === 'distance';\n\n function formatX(v: number, range: number): string {\n if (v == null) return '';\n if (isDistAxis) {\n const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0;\n return `${v.toFixed(dec)} km`;\n } else {\n const absV = Math.abs(v);\n const h = Math.floor(absV / 3600);\n const m = Math.floor((absV % 3600) / 60);\n const s = Math.round(absV % 60);\n const hh = h > 0 ? `${h}:` : '';\n const mm = h > 0 ? String(m).padStart(2, '0') : String(m);\n const ss = String(s).padStart(2, '0');\n return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`;\n }\n }\n\n const incZeroDefault =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Compute global Y range and full-track stats in a single pass\n let gMin = Infinity,\n gMax = -Infinity,\n allSum = 0,\n allCount = 0,\n filtMin = Infinity,\n filtMax = -Infinity,\n filtSum = 0,\n filtCount = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < gMin) gMin = v;\n if (v > gMax) gMax = v;\n allSum += v;\n allCount++;\n if (v !== 0 || incZeroDefault) {\n if (v < filtMin) filtMin = v;\n if (v > filtMax) filtMax = v;\n filtSum += v;\n filtCount++;\n }\n }\n if (allCount === 0) {\n gMin = 0;\n gMax = 100;\n }\n const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null;\n const fullStatsFiltered = filtCount\n ? { min: filtMin, max: filtMax, avg: filtSum / filtCount }\n : null;\n const gPad = Math.abs(gMax - gMin) * 0.1 || 1;\n const fixedYRange = [gMin - gPad, gMax + gPad];\n\n let statsTotalInitialized = false;\n\n // Per-range stats\n function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) {\n const incZero =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Update fixed X labels\n const range = visibleMax - visibleMin;\n fixedMinLabel.textContent = formatX(visibleMin, range);\n fixedMaxLabel.textContent = formatX(visibleMax, range);\n\n const getHtml = (xMin: number, xMax: number, isFull = false) => {\n const s =\n isFull && incZero === incZeroDefault\n ? fullStatsFiltered\n : rangeStats(xData, yData, xMin, xMax, incZero);\n if (!s) return '';\n\n let h = `\n align_flex_end${def.fmt(s.min, true)} ${def.unit}\n align_center${def.fmt(s.avg, true)} ${def.unit}\n align_flex_start${def.fmt(s.max, true)} ${def.unit}\n `;\n\n if (metricKey === 'elevation') {\n const es = elevationRangeStats(pts, xMin, xMax);\n h += `\n trending_up+${Math.round(es.gain)} m\n trending_down-${Math.round(es.loss)} m\n `;\n }\n return h;\n };\n\n if (!statsTotalInitialized) {\n statsTotalInitialized = true;\n statsTotalEl.innerHTML = `all_inclusive${getHtml(\n xData[0]!,\n xData[xData.length - 1]!,\n true,\n )}`;\n statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => {\n e.stopPropagation();\n cancelSelection();\n });\n }\n\n if (selAnchorVal !== null && selEndVal !== null) {\n statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false);\n statsSelEl.style.display = 'flex';\n statsSelEl.style.setProperty('--sel-color', def.color);\n } else {\n statsSelEl.style.display = 'none';\n }\n }\n let initializingScale = false;\n const uOpts: uPlot.Options = {\n width: w,\n height: 130,\n padding: [4, 0, 0, 0],\n cursor: {\n sync: {\n key: syncKey!.key,\n },\n drag: { x: true, y: false, uni: 16 },\n focus: { prox: 16 },\n points: {\n size: 7,\n stroke: '#0e0e10',\n width: 2,\n fill: (metricKey === 'elevation'\n ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null)\n : def.color) as any,\n },\n x: false,\n y: false,\n },\n select: {\n show: true,\n left: 0,\n top: 0,\n width: 0,\n height: 0,\n },\n legend: { show: false },\n scales: {\n x: {\n time: false,\n range: (_u: uPlot, mn: number, mx: number) => [mn, mx],\n min: initialRange ? initialRange[0] : undefined,\n max: initialRange ? initialRange[1] : undefined,\n },\n y: {\n range: () => fixedYRange as [number, number],\n dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1,\n },\n },\n axes: [\n {\n side: 2, // bottom\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: {\n show: true,\n stroke: '#2e2e34',\n },\n size: 30,\n space: 80,\n font: '10px system-ui, sans-serif',\n splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => {\n const range = scaleMax - scaleMin;\n const width = u.bbox.width > 0 ? u.bbox.width : u.width;\n const targetLabels = width / 80;\n const idealIncr = range / targetLabels;\n\n let incrs;\n if (!isDistAxis) {\n // Time in seconds\n incrs = [\n 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200,\n 86400, 604800, 2592000, 31536000,\n ];\n } else {\n incrs = [\n 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,\n 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000,\n ];\n }\n\n let incr = incrs[incrs.length - 1];\n for (let i = 0; i < incrs.length; i++) {\n if (incrs[i] >= idealIncr) {\n incr = incrs[i];\n break;\n }\n }\n\n const splits = [];\n let val = Math.ceil(scaleMin / incr) * incr;\n const precision = incr < 1 ? 2 : 0;\n\n while (val <= scaleMax) {\n const pos = u.valToPos(val, 'x', true);\n if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80)\n splits.push(Number(val.toFixed(precision)));\n\n val += incr;\n }\n return splits;\n },\n values: ((_u: uPlot, vals: number[]) => {\n const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0);\n\n return vals.map((v) => {\n if (v == null) return '';\n const pos = _u.valToPos(v, 'x', true);\n // Strict 80px margin to prevent overlapping with fixed labels or Y axis\n if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null;\n return formatX(v, range);\n });\n }) as any,\n },\n {\n side: 3, // left\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: { stroke: '#2e2e34' },\n size: 55,\n font: '10px system-ui, sans-serif',\n values: ((_u: uPlot, vals: number[]) =>\n vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any,\n },\n ],\n series: [\n {},\n // Main selected track series\n {\n label: def.label,\n stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering\n width: 0,\n points: { show: false },\n paths: () => null,\n },\n ],\n hooks: {\n draw: [\n (u: uPlot) => {\n const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area!\n fixedMinLabel.style.top = `${top}px`;\n fixedMinLabel.style.left = `${u.bbox.left}px`;\n\n fixedMaxLabel.style.top = `${top}px`;\n fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`;\n fixedMaxLabel.style.transform = 'translateX(-100%)';\n },\n // 1. (bottom) Color / metric color of the selected track\n (u: uPlot) => {\n if (metricKey === 'gears') {\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n } else if (metricKey === 'elevation') {\n drawElevationGradient(u, xData as number[], yData as number[], gradData);\n } else if (metricKey === 'gradient') {\n drawGradientChart(u, xData as number[], yData as number[]);\n } else if (mapColorMetric === metricKey) {\n drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey);\n } else {\n // Normal colored line\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n }\n },\n\n // 2. Pinned point (middle)\n (u: uPlot) => {\n const plot = plots.find((p) => p.uplot === u);\n if (!plot) return;\n\n const s = (u as any)._strasse;\n // Priority 1: Global pinned point (all charts)\n if (pinnedPtIdx != null) {\n drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey);\n } else {\n if (s && s.pinYVal) s.pinYVal.style.display = 'none';\n\n // Priority 2: Individual histogram pinned Y-pos (this chart only)\n if (plot.pinnedHistY != null)\n drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def);\n }\n },\n\n // 3. Pinned & Hover elements (labels, vertical lines)\n (u: uPlot) => {\n const hIdx = u.cursor.idx;\n const hasPinned = pinnedPtIdx != null;\n\n let hasHover = hIdx != null && u.cursor.left! >= 0;\n if (hasHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[hIdx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) hasHover = false;\n }\n\n // B. Draw Hover vertical line\n if (hasHover && hIdx !== pinnedPtIdx)\n drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0);\n\n // C. Bold selection x-axis line & span pill\n if (selAnchorVal != null && selEndVal != null) {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ax = u.valToPos(selAnchorVal, 'x', true);\n const ex = u.valToPos(selEndVal, 'x', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.lineWidth = 3 * dpr;\n ctx.strokeStyle = def.color;\n ctx.moveTo(ax, bb.top + bb.height);\n ctx.lineTo(ex, bb.top + bb.height);\n ctx.stroke();\n\n const span = Math.abs(selEndVal - selAnchorVal);\n const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span);\n const fontSize = 9 * dpr;\n const fontStr = `bold ${fontSize}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n\n const visibleL = Math.max(bb.left, ax);\n const visibleR = Math.min(bb.left + bb.width, ex);\n const visibleW = visibleR - visibleL;\n\n if (visibleW > tw + 14 * dpr) {\n const padH = 5 * dpr;\n const padV = 2 * dpr;\n const bw = tw + padH * 2;\n const bh = fontSize + padV * 2;\n const bx = (visibleL + visibleR) / 2 - bw / 2;\n const by = bb.top + bb.height - bh / 2;\n\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = def.color;\n ctx.fill();\n\n ctx.fillStyle = '#000';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2);\n }\n ctx.restore();\n }\n\n // D. Draw label pills (on top)\n // Pinned labels first (semi-transparent)\n if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7);\n\n // Hover labels last (fully opaque, topmost)\n if (hasHover && hIdx !== pinnedPtIdx)\n drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0);\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (scaleSyncing) return;\n const idx = u.cursor.idx;\n\n // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live\n // Note: uPlot handles cross-chart sync when syncKey is used.\n u.redraw(false);\n\n // Track current x-value for keyboard navigation\n if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x');\n else lastMouseXVal = null;\n\n // \u2500\u2500 Floating y-value next to cursor dot \u2500\u2500\n const s = (u as any)._strasse;\n let showHover = idx != null && yData[idx] != null;\n\n // Distance threshold: if no pinned point, check proximity to data line\n if (showHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[idx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) showHover = false;\n }\n\n if (s) {\n if (showHover)\n updateTooltip(\n u,\n s.curYVal,\n idx!,\n xData as number[],\n yData as number[],\n pts,\n def,\n metricKey,\n );\n else s.curYVal.style.display = 'none';\n }\n\n // Map marker\n if (!cursorSyncing) {\n if (idx != null && pts[idx]) {\n if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) {\n onCursorMoveCb(pts[idx]);\n } else if (onCursorMoveCb && !showHover) {\n // If we're too far and nothing is pinned, hide map cursor\n onCursorMoveCb(null);\n }\n } else if (idx === null && onCursorMoveCb) {\n onCursorMoveCb(null);\n }\n }\n\n // Highlight matching histogram bucket\n if (idx != null && yData[idx] != null) {\n const { min, max } = histData;\n if (min != null && max != null) {\n const span = max - min || 1;\n const binI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[idx]! - min) / span) * histData.BINS),\n );\n if (plot.hoveredHistY !== yData[idx]) {\n plot.hoveredHistY = yData[idx];\n drawHistogram(histCanvas, histData, 130, binI);\n }\n }\n } else if (plot.hoveredHistY !== null) {\n plot.hoveredHistY = null;\n drawHistogram(histCanvas, histData, 130);\n }\n },\n ],\n\n setScale: [\n (u: uPlot, key: string) => {\n if (key !== 'x' || initializingScale) return;\n const { min, max } = u.scales.x!;\n\n // Sync currentXRange so keyboard navigation baseline is always accurate\n currentXRange = [min!, max!];\n\n // Update header stats for VISIBLE range\n updateHeaderStats(min as number, max as number, u);\n\n if (scaleSyncing) return;\n\n // Clear keyboard target when user interacts via mouse\n if (!updatingRange) targetXRange = null;\n\n // Sync sibling plots\n scaleSyncing = true;\n plots.forEach(({ uplot: other }) => {\n if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! }));\n });\n scaleSyncing = false;\n\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb && selAnchorVal !== null)\n onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n },\n ],\n\n setSelect: [\n (u: uPlot) => {\n if (updatingRange) return;\n targetXRange = null;\n const { left, width } = u.select;\n if (width > 0) {\n const min = u.posToVal(left, 'x');\n const max = u.posToVal(left + width, 'x');\n selAnchorVal = min;\n selEndVal = max;\n\n // Sync stats to new selection\n updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u);\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n\n // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction\n u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false);\n }\n },\n ],\n },\n };\n\n // \u2500\u2500 Overlay (pointer-events off except handles) \u2500\u2500\n const overlay = document.createElement('div');\n overlay.style.cssText =\n 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5';\n\n // Selection fill\n const selFill = document.createElement('div');\n selFill.className = 'sel-fill';\n selFill.style.display = 'none';\n\n // Anchor line + label + drag handle\n const anchorLine = document.createElement('div');\n anchorLine.className = 'sel-line sel-line-anchor';\n anchorLine.style.display = 'none';\n\n const anchorLabel = document.createElement('div');\n anchorLabel.className = 'sel-line-label sel-line-label-anchor';\n anchorLabel.style.display = 'none';\n\n const anchorHandle = document.createElement('div');\n anchorHandle.className = 'sel-handle sel-handle-anchor';\n anchorHandle.style.display = 'none';\n\n const anchorMarker = document.createElement('div');\n anchorMarker.className = 'sel-graph-marker';\n anchorMarker.innerHTML =\n 'play_circle';\n anchorMarker.style.display = 'none';\n\n // End line + label + drag handle\n const endLine = document.createElement('div');\n endLine.className = 'sel-line sel-line-end';\n endLine.style.display = 'none';\n\n const endLabel = document.createElement('div');\n endLabel.className = 'sel-line-label sel-line-label-end';\n endLabel.style.display = 'none';\n\n const endHandle = document.createElement('div');\n endHandle.className = 'sel-handle sel-handle-end';\n endHandle.style.display = 'none';\n\n const endMarker = document.createElement('div');\n endMarker.className = 'sel-graph-marker';\n endMarker.innerHTML =\n 'stop_circle';\n endMarker.style.display = 'none';\n\n // Floating cursor y-value\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${def.color};display:none`;\n\n // Floating pinned y-value\n const pinYVal = document.createElement('div');\n pinYVal.className = 'cur-y-val pin';\n pinYVal.style.cssText = `color:${def.color};display:none`;\n\n overlay.append(\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n );\n\n const histData: HistData = {\n yData,\n xData: xData as number[],\n def,\n BINS: 24,\n min: allCount ? gMin : undefined,\n max: allCount ? gMax : undefined,\n fullStats: fullStatsFiltered,\n fullStatsAll,\n };\n const plot: PlotData = {\n uplot: null as any,\n row,\n xData: xData as number[],\n yData,\n def,\n metricKey,\n statsTotalEl,\n statsSelEl,\n histCol,\n histCanvas,\n histData,\n hoveredHistY: null,\n pinnedHistY: null,\n smoothed: smoothedMetrics.has(metricKey),\n incZero: metricsIncludingZero.has(metricKey),\n w,\n };\n histData.plot = plot; // Back-reference for tooltip to trigger redraws\n\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => {\n plot.uplot = self as WegPlot;\n plots.push(plot);\n plotEl.appendChild(self.root);\n self.over.appendChild(overlay);\n (self as any)._strasse = {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n updateHeaderStats,\n };\n self.batch(() => {\n init();\n });\n }) as WegPlot;\n scaleSyncing = prevSync;\n\n // \u2500\u2500 Handle drag \u2500\u2500\n attachHandleDrag(anchorHandle, uplot, xData, true);\n attachHandleDrag(endHandle, uplot, xData, false);\n\n // \u2500\u2500 Mouse listeners \u2500\u2500\n let mousedownX: number | null = null;\n uplot.over.addEventListener('mousedown', (e) => {\n if (e.button !== 0) return;\n isDragging = false;\n const rect = uplot.over.getBoundingClientRect();\n const xPx = e.clientX - rect.left;\n mousedownX = xPx;\n });\n uplot.over.addEventListener('mousemove', (e) => {\n if (mousedownX !== null) {\n const rect = uplot.over.getBoundingClientRect();\n if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true;\n }\n });\n uplot.over.addEventListener('mouseup', () => {\n mousedownX = null;\n });\n\n // Click to pin point (sticky selection)\n uplot.over.addEventListener('click', () => {\n if (isDragging) return;\n const idx = uplot.cursor.idx;\n if (idx != null && pts[idx]) {\n pinnedPtIdx = idx;\n plots.forEach(({ uplot: u }) => u.redraw(false));\n if (onClickCb) onClickCb(pts[idx], idx);\n if (onPinChangeCb) onPinChangeCb(idx);\n }\n });\n\n row.addEventListener('dblclick', cancelSelection);\n\n let initHoverBinI: number | null = null;\n if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) {\n buildHistBins(histData);\n if (histData.min != null && histData.max != null) {\n const span = histData.max - histData.min || 1;\n initHoverBinI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS),\n );\n plot.hoveredHistY = yData[pinnedPtIdx];\n }\n }\n\n drawHistogram(histCanvas, histData, 130, initHoverBinI);\n attachHistTooltip(histCanvas, histData);\n if (container) {\n if (insertBeforeEl) container.insertBefore(row, insertBeforeEl);\n else container.appendChild(row);\n }\n }\n\n // \u2500\u2500 Selection overlay (fill + lines + handles) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateSelOverlay() {\n updateAnchorLines();\n // Redraw canvas markers (bold selection line + span pill)\n plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false)));\n }\n\n function updateAnchorLines() {\n plots.forEach(({ uplot: u, def }) => {\n const s = (u as any)._strasse;\n if (!s) return;\n const {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n } = s;\n if (selAnchorVal == null || selEndVal == null) {\n [\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n ].forEach((el: HTMLElement) => {\n el.style.display = 'none';\n });\n return;\n }\n const aX = u.valToPos(selAnchorVal, 'x');\n const eX = u.valToPos(selEndVal, 'x');\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const overW = bb.width / dpr;\n const overH = bb.height / dpr;\n const plotBottom = (bb.top + bb.height) / dpr;\n\n const isAnchorVisible = aX >= 0 && aX <= overW;\n const isEndVisible = eX >= 0 && eX <= overW;\n\n // Fill: clamp left/right to visible area\n const fillL = Math.max(0, aX);\n const fillR = Math.min(overW, eX);\n if (fillR > fillL) {\n selFill.style.left = `${fillL}px`;\n selFill.style.width = `${fillR - fillL}px`;\n selFill.style.top = '0';\n selFill.style.height = `${overH}px`;\n selFill.style.backgroundColor = hexToRgba(def.color, 0.07);\n selFill.style.display = '';\n } else {\n selFill.style.display = 'none';\n }\n\n // Anchor line\n if (isAnchorVisible) {\n anchorLine.style.left = `${aX}px`;\n anchorLine.style.height = `${overH}px`;\n anchorLine.style.borderLeftColor = def.color;\n anchorLine.style.display = '';\n // Anchor label\n const aText = fmtXVal(selAnchorVal);\n anchorLabel.textContent = aText;\n const aLabelW = aText.length * 7 + 10;\n anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`;\n anchorLabel.style.display = '';\n // Anchor handle\n anchorHandle.style.left = `${aX}px`;\n anchorHandle.style.backgroundColor = def.color;\n anchorHandle.style.display = '';\n // Anchor marker: centered on the bold line\n anchorMarker.style.left = `${aX}px`;\n anchorMarker.style.top = `${plotBottom}px`;\n const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (aIcon) aIcon.style.color = def.color;\n anchorMarker.style.display = '';\n } else {\n [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n\n // End line\n if (isEndVisible) {\n endLine.style.left = `${eX}px`;\n endLine.style.height = `${overH}px`;\n endLine.style.borderLeftColor = def.color;\n endLine.style.display = '';\n // End label\n const eText = fmtXVal(selEndVal);\n endLabel.textContent = eText;\n const eLabelW = eText.length * 7 + 10;\n endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`;\n endLabel.style.display = '';\n // End handle\n endHandle.style.left = `${eX}px`;\n endHandle.style.backgroundColor = def.color;\n endHandle.style.display = '';\n // End marker: centered on the bold line\n endMarker.style.left = `${eX}px`;\n endMarker.style.top = `${plotBottom}px`;\n const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (eIcon) eIcon.style.color = def.color;\n endMarker.style.display = '';\n } else {\n [endLine, endLabel, endHandle, endMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n });\n }\n\n function fmtXVal(v: number) {\n return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v);\n }\n\n // \u2500\u2500 Handle drag logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function attachHandleDrag(\n handleEl: HTMLElement,\n uplot: uPlot,\n xData: (number | null)[],\n isAnchor: boolean,\n ) {\n // pointer-events enabled on the handle itself\n handleEl.style.pointerEvents = 'auto';\n\n handleEl.addEventListener('mousedown', (e) => {\n e.stopPropagation();\n e.preventDefault();\n const startX = e.clientX;\n const startVal = isAnchor ? selAnchorVal : selEndVal;\n const overW = uplot.over.offsetWidth;\n // px-per-data-unit at current zoom\n const xMin = uplot.scales.x!.min!,\n xMax = uplot.scales.x!.max!;\n const pxPerUnit = overW / (xMax - xMin);\n const xFull = [xData[0]!, xData[xData.length - 1]!];\n\n document.body.style.cursor = 'ew-resize';\n isDragging = true;\n\n function onMove(me: MouseEvent) {\n const dx = me.clientX - startX;\n let newVal = (startVal || 0) + dx / pxPerUnit;\n newVal = Math.max(xFull[0], Math.min(xFull[1], newVal));\n\n if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001);\n else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001);\n\n // When dragging handles, we typically want to stay zoomed to the selection?\n // Actually, let's keep the zoom as is, and just update the selection overlay and stats.\n plots.forEach((p) =>\n (p.uplot as any)._strasse?.updateHeaderStats(\n p.uplot.scales.x!.min!,\n p.uplot.scales.x!.max!,\n ),\n );\n updateSelOverlay();\n redrawHistograms();\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n }\n\n function onUp() {\n document.body.style.cursor = '';\n isDragging = false;\n document.removeEventListener('mousemove', onMove);\n document.removeEventListener('mouseup', onUp);\n }\n\n document.addEventListener('mousemove', onMove);\n document.addEventListener('mouseup', onUp);\n });\n }\n\n // \u2500\u2500 Histogram logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function buildHistBins(histData: HistData) {\n const { yData, xData, BINS } = histData;\n\n // Cache to avoid re-binning every frame during hover\n if (histData._lastYData === yData && histData.bins) return;\n histData._lastYData = yData;\n\n let min = histData.min;\n let max = histData.max;\n if (min == null || max == null) {\n let lo = Infinity,\n hi = -Infinity,\n cnt = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < lo) lo = v;\n if (v > hi) hi = v;\n cnt++;\n }\n if (!cnt) return;\n min = lo;\n max = hi;\n histData.min = min;\n histData.max = max;\n }\n\n const bins = new Array(BINS).fill(0);\n const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km)\n\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n bins[bi]++;\n\n // weight by x-delta\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n binAccum[bi] += (next - prev) / 2;\n }\n histData.bins = bins;\n histData.binAccum = binAccum;\n }\n\n function redrawHistograms() {\n plots.forEach(({ histCanvas, histData, uplot: u }) => {\n drawHistogram(histCanvas, histData, u.height);\n });\n }\n\n function drawHistogram(\n canvas: HTMLCanvasElement,\n histData: HistData,\n chartH: number,\n hoverBinI: number | null = null,\n ) {\n const { def, BINS } = histData;\n buildHistBins(histData);\n const { bins, min, max } = histData;\n if (!bins || min == null || max == null) return;\n\n const hasSel = selAnchorVal != null && selEndVal != null;\n\n // Compute selection bins if a range is active and changed\n if (\n hasSel &&\n (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal)\n ) {\n histData._lastSelRange = [selAnchorVal!, selEndVal!];\n const selBins = new Array(BINS).fill(0);\n const selBinAccum = new Array(BINS).fill(0);\n const { yData, xData } = histData;\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const x = xData[i];\n if (x == null || x < selAnchorVal! || x > selEndVal!) continue;\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n selBins[bi]++;\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n selBinAccum[bi] += (next - prev) / 2;\n }\n histData.selBins = selBins;\n histData.selBinAccum = selBinAccum;\n } else if (!hasSel) {\n histData.selBins = null;\n histData.selBinAccum = null;\n histData._lastSelRange = null;\n }\n const selBins = histData.selBins;\n\n const dpr = window.devicePixelRatio || 1;\n const W = HIST_W;\n const H = chartH;\n\n // Performance: only set dimensions if they changed (resets canvas)\n if (canvas.width !== W * dpr || canvas.height !== H * dpr) {\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n canvas.style.width = `${W}px`;\n canvas.style.height = `${H}px`;\n }\n\n const ctx = canvas.getContext('2d')!;\n ctx.resetTransform();\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const peak = Math.max(...bins);\n\n // Measure label width so bars start right after them\n const fmt = (v: number) => def.fmtAxis(v);\n const fontStr = '9px system-ui, sans-serif';\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const labelW = Math.ceil(\n Math.max(\n ctx.measureText(`${fmt(max)} ${def.unit}`).width,\n ctx.measureText(`${fmt(min)} ${def.unit}`).width,\n ),\n );\n\n // Vertical alignment with main graph:\n // uPlot padding: [4, 0, 0, 0]\n // Axis size: 30\n const pad = { t: 4, r: 0, b: 30, l: labelW + 6 };\n histData.padL = pad.l;\n const plotW = W - pad.l - pad.r;\n const plotH = H - pad.t - pad.b;\n\n // bin 0 = lowest values \u2192 drawn at bottom; bin BINS-1 = highest \u2192 drawn at top\n const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS);\n const binH = plotH / BINS - 1;\n\n // Full distribution (dimmed when selection active)\n const baseAlpha = hasSel ? 0.15 : 0.6;\n ctx.fillStyle = hexToRgba(def.color, baseAlpha);\n for (let i = 0; i < BINS; i++) {\n if (!bins[i]) continue;\n const bw = (bins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n\n // Selection overlay (bright)\n if (selBins) {\n ctx.fillStyle = hexToRgba(def.color, 0.85);\n for (let i = 0; i < BINS; i++) {\n if (!selBins[i]) continue;\n const bw = (selBins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n ctx.fillStyle = def.color;\n ctx.fillRect(pad.l, pad.t, 2, plotH);\n }\n\n // CDF overlay \u2014 smooth curve from bottom (0%) to top (100%)\n const total = bins.reduce((s, v) => s + v, 0);\n if (total > 0) {\n // Build CDF points: one per bin boundary, bottom\u2192top\n const pts2 = [{ x: pad.l, y: pad.t + plotH }];\n let cumSum = 0;\n for (let i = 0; i < BINS; i++) {\n cumSum += bins[i];\n pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) });\n }\n\n ctx.beginPath();\n // CDF line is now solid\n ctx.setLineDash([]);\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 0.75 * dpr;\n ctx.lineJoin = 'round';\n ctx.moveTo(pts2[0].x, pts2[0].y);\n for (let i = 1; i < pts2.length - 1; i++) {\n const mx = (pts2[i].x + pts2[i + 1].x) / 2;\n const my = (pts2[i].y + pts2[i + 1].y) / 2;\n ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my);\n }\n ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y);\n ctx.stroke();\n\n // \u2500\u2500 Hover highlight on CDF \u2500\u2500\n if (hoverBinI != null && pts2[hoverBinI + 1]) {\n const cp = pts2[hoverBinI + 1];\n // Vertical line down\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(def.color, 0.6);\n ctx.moveTo(cp.x, cp.y);\n ctx.lineTo(cp.x, pad.t + plotH);\n ctx.stroke();\n ctx.setLineDash([]);\n\n // Dot: tiny precision point\n ctx.beginPath();\n ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n }\n\n // Axis labels: max at top, min at bottom\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n const font9 = '9px system-ui, sans-serif';\n if (ctx.font !== font9) ctx.font = font9;\n ctx.textAlign = 'right';\n\n // Draw Max\n ctx.textBaseline = 'top';\n ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t);\n\n // Draw Min\n ctx.textBaseline = 'bottom';\n ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b);\n\n // Draw Avg (only if it doesn't overlap min/max)\n const stats =\n !hasSel && histData.fullStatsAll !== undefined\n ? histData.fullStatsAll\n : rangeStats(\n histData.xData,\n histData.yData,\n selAnchorVal || -Infinity,\n selEndVal || Infinity,\n );\n if (stats) {\n const avgY =\n pad.t +\n (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) *\n (plotH / BINS);\n const minLabelY = H - pad.b;\n const maxLabelY = pad.t;\n const labelHeight = 10; // Approx 10px height for 9px font\n\n if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) {\n ctx.textBaseline = 'middle';\n if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa';\n ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY);\n // Draw small indicator tick\n ctx.beginPath();\n ctx.moveTo(pad.l - 3, avgY);\n ctx.lineTo(pad.l, avgY);\n if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa';\n ctx.lineWidth = 1;\n ctx.stroke();\n }\n }\n\n // \u2500\u2500 Higher/Lower percentages below histogram \u2500\u2500\n if (hoverBinI != null && total > 0) {\n let countLower = 0;\n for (let i = 0; i < hoverBinI; i++) countLower += bins[i];\n let countHigher = 0;\n for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i];\n\n const pLower = Math.round((countLower / total) * 100);\n const pHigher = Math.round((countHigher / total) * 100);\n\n ctx.save();\n ctx.textAlign = 'left';\n ctx.textBaseline = 'top';\n const font8 = '8px system-ui, sans-serif';\n if (ctx.font !== font8) ctx.font = font8;\n\n const textY = H - pad.b + 6;\n\n // Draw \"Lower\" stat\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('LOWER', pad.l, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n const fontB10 = 'bold 10px system-ui, sans-serif';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pLower}%`, pad.l, textY + 10);\n\n // Draw \"Higher\" stat\n const midX = pad.l + plotW / 2;\n if (ctx.font !== font8) ctx.font = font8;\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('HIGHER', midX, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pHigher}%`, midX, textY + 10);\n\n ctx.restore();\n }\n }\n\n function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) {\n const { plot } = histData;\n\n canvas.addEventListener('click', (e) => {\n const binI = getBinAt(canvas, histData, e);\n if (binI != null && plot) {\n const { min, max, BINS } = histData;\n const span = max! - min! || 1;\n plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n }\n });\n\n canvas.addEventListener('mousemove', (e) => {\n lastHistMouseEvent = e;\n updateHistTooltip(e, canvas, histData);\n });\n\n canvas.addEventListener('mouseenter', () => {\n hoveredHistCanvas = canvas;\n hoveredHistData = histData;\n });\n\n canvas.addEventListener('mouseleave', () => {\n if (hoveredHistCanvas === canvas) {\n hoveredHistCanvas = null;\n hoveredHistData = null;\n }\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const lineEl = document.getElementById('hist-line');\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n });\n }\n\n function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) {\n const { bins, BINS } = histData;\n if (!bins) return null;\n const rect = canvas.getBoundingClientRect();\n const relY = e.clientY - rect.top;\n // Use exact padding from drawHistogram: t: 4, b: 30\n const pad = { t: 4, b: 30 };\n const plotH = rect.height - pad.t - pad.b;\n const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!);\n const binI = BINS! - 1 - rawI;\n if (rawI < 0 || rawI >= BINS!) return null;\n return binI;\n }\n\n function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) {\n if (!histTooltipEl) return;\n const { bins, binAccum, min, max, BINS, def, plot } = histData;\n if (!bins || !binAccum || min == null || max == null) return;\n\n const lineEl = document.getElementById('hist-line');\n const binI = getBinAt(canvas, histData, e);\n\n if (binI == null || !bins[binI]) {\n histTooltipEl.style.display = 'none';\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n return;\n }\n\n if (plot) {\n const span = max - min || 1;\n plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!);\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI);\n }\n\n const count = bins[binI];\n const total = bins.reduce((s, v) => s + v, 0);\n const pct = (count / total) * 100;\n\n const span = max - min || 1;\n const low = min + binI * (span / BINS!);\n const high = min + (binI + 1) * (span / BINS!);\n const label = `${def.fmt(low, true)} \u2013 ${def.fmt(high, true)} ${def.unit}`;\n\n // Zone info\n let zoneHtml = '';\n const mid = (low + high) / 2;\n const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def);\n let zones: any[] = [];\n if (metricKey === 'power') zones = Zones.getPowerZones();\n else if (metricKey === 'hr') zones = Zones.getHRZones();\n\n if (zones.length > 0) {\n const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max);\n const z =\n zIdx !== -1\n ? zones[zIdx]\n : mid >= zones[zones.length - 1].min\n ? zones[zones.length - 1]\n : null;\n if (z) {\n const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1;\n zoneHtml = `\n
\n Z${finalZIdx + 1}\n \u00B7\n ${z.name}\n
\n `;\n }\n }\n\n const totalAccum =\n xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]);\n const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100;\n\n let html = `\n
${label}
\n ${zoneHtml}\n `;\n\n if (totalAccum) {\n html += `
\n ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${totalAccum}\n ${totalPct.toFixed(1)}%\n
`;\n }\n\n // Selection context\n if (histData.selBins && histData.selBinAccum) {\n const stotalAccum =\n xAxis === 'distance'\n ? `${histData.selBinAccum[binI].toFixed(2)} km`\n : fmtSecs(histData.selBinAccum[binI]);\n const stotalPct =\n (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100;\n\n html += `\n
\n Sel ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${stotalAccum}\n ${stotalPct.toFixed(1)}%\n
\n `;\n }\n\n histTooltipEl.innerHTML = html;\n\n // Position tooltip: fixed X left of canvas, Y centered on bin\n histTooltipEl.style.display = 'block';\n const ttH = histTooltipEl.offsetHeight;\n const ttW = histTooltipEl.offsetWidth;\n const rect = canvas.getBoundingClientRect();\n const plotH = rect.height - 4 - 30; // pad.t + pad.b\n const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!);\n\n histTooltipEl.style.left = `${rect.left - ttW - 12}px`;\n histTooltipEl.style.top = `${binCenterY - ttH / 2}px`;\n\n // Horizontal line sync\n if (lineEl) {\n lineEl.style.display = 'block';\n lineEl.style.top = `${binCenterY}px`;\n lineEl.style.left = '0px';\n lineEl.style.width = `${rect.left}px`;\n }\n }\n\n // \u2500\u2500 Helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function destroyPlots(keepState = false) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n plots.forEach(({ uplot: u, row }) => {\n syncKey!.unsub(u);\n u.destroy();\n row.remove();\n });\n plots = [];\n renderedTrack = null;\n if (!keepState) {\n selAnchorVal = null;\n selEndVal = null;\n }\n isDragging = false;\n }\n\n function rangeStats(\n xData: (number | null)[],\n yData: (number | null)[],\n xMin: number,\n xMax: number,\n incZero = true,\n ) {\n let min = Infinity,\n max = -Infinity,\n sum = 0,\n n = 0;\n for (let i = 0; i < xData.length; i++) {\n if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue;\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n if (v < min) min = v;\n if (v > max) max = v;\n sum += v;\n n++;\n }\n return n ? { min, max, avg: sum / n } : null;\n }\n\n function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) {\n let gain = 0,\n loss = 0;\n let prevEle: number | null = null;\n const isDist = xAxis === 'distance';\n const t0 = pts[0].time || 0;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n if (x < xMin || x > xMax) continue;\n\n if (p.ele != null) {\n if (prevEle != null) {\n const diff = p.ele - prevEle;\n if (diff > 0) gain += diff;\n else if (diff < 0) loss += Math.abs(diff);\n }\n prevEle = p.ele;\n }\n }\n return { gain, loss };\n }\n\n // \u2500\u2500 Plot Rendering Helpers (Canvas) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateTooltip(\n u: WegPlot,\n el: HTMLElement,\n idx: number,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n def: MetricDefinition,\n metricKey: string,\n ) {\n if (idx == null || yData[idx] == null) {\n el.style.display = 'none';\n return;\n }\n\n const cx = u.valToPos(xData[idx]!, 'x', false);\n const cy = u.valToPos(yData[idx]!, 'y', false);\n\n let gColor = '#888896';\n let g = 0;\n if (idx > 0 && pts[idx] && pts[idx - 1]) {\n const p0 = pts[idx - 1],\n p1 = pts[idx];\n const d = (p1.dist || 0) - (p0.dist || 0);\n if (d > 0.1 && p1.ele != null && p0.ele != null) {\n g = ((p1.ele - p0.ele) / d) * 100;\n gColor = gradientColor(g);\n }\n }\n\n let content =\n metricKey !== 'elevation'\n ? `${def.fmt(yData[idx]!, false)} ${def.unit}`\n : `${def.fmt(yData[idx]!, false)} ${def.unit} \u2220 ${Math.abs(g).toFixed(1)}%`;\n\n // Special handling for gears: show tooth count if available\n if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) {\n content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) {\n content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gears') {\n const p = pts[idx];\n const front =\n p.gearFrontTooth != null\n ? `${p.gearFrontTooth}T`\n : p.gearFront != null\n ? `pos ${p.gearFront}`\n : '';\n const rear =\n p.gearRearTooth != null\n ? `${p.gearRearTooth}T`\n : p.gearRear != null\n ? `pos ${p.gearRear}`\n : '';\n\n if (front || rear)\n content += ` (${front} / ${rear})`;\n }\n\n if (el.innerHTML !== content) el.innerHTML = content;\n\n const color44 = `${def.color}44`;\n if (el.style.color !== def.color) el.style.color = def.color;\n if (el.style.borderColor !== color44) el.style.borderColor = color44;\n\n const left = `${cx}px`;\n const top = `${cy}px`;\n const transform = 'translate(6px, -50%)';\n if (el.style.left !== left) el.style.left = left;\n if (el.style.top !== top) el.style.top = top;\n if (el.style.transform !== transform) el.style.transform = transform;\n if (el.style.display !== '') el.style.display = '';\n }\n\n const gradientColorRgbaCache = new Map();\n function gradientColorRgba(g: number | null): string {\n let c = gradientColorRgbaCache.get(g);\n if (!c) {\n c = hexToRgba(gradientColor(g), 0.8);\n gradientColorRgbaCache.set(g, c);\n }\n return c;\n }\n\n function drawElevationGradient(\n u: uPlot,\n xData: number[],\n yData: number[],\n gradData: (number | null)[] | null,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawGradientChart(u: uPlot, xData: number[], yData: number[]) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = Math.round(yData[i]! / 2) * 2;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) {\n const idx = u.cursor.idx;\n if (idx == null || yData[idx] == null || u.cursor.left! < 0) return;\n\n const t0 = pts[0].time || 0;\n const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yData[idx], 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Line from top to point + horizontal from left\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, cy);\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Dot at point\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n\n function drawVerticalLineOnly(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const xVal =\n xAxis === 'distance'\n ? (pts[idx].dist || 0) / 1000\n : (pts[idx].time! - (pts[0].time || 0)) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n // Dotted line range should match where labels are (flush top to bottom axis)\n ctx.moveTo(cx, bb.top + 16 * dpr);\n ctx.lineTo(cx, bb.top + bb.height + 10 * dpr);\n ctx.stroke();\n ctx.restore();\n }\n\n function drawXAxisLabels(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n skipLine = false,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const t0 = pts[0].time || 0;\n const distVal = (pts[idx].dist || 0) / 1000;\n const timeVal = (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true);\n\n // Bottom label: matches the current X axis unit\n const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal);\n // Top label: shows the other unit (simplified)\n const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`;\n\n const drawPill = (text: string, x: number, y: number, isTop: boolean) => {\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(text).width;\n const bw = tw + 10 * dpr;\n const bh = 16 * dpr;\n const rx = x - bw / 2;\n const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx));\n const ry = y - bh / 2;\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.setLineDash([]); // Ensure pills are not dashed\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr);\n else ctx.rect(clampedRx, ry, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.92)';\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr);\n ctx.restore();\n };\n\n if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity);\n\n const pillH = 16 * dpr;\n // Top label: flush to the top edge of the plot\n drawPill(topLabel, cx, bb.top + pillH / 2, true);\n\n // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area)\n drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false);\n }\n\n function drawPinnedDot(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n def: MetricDefinition,\n pts: TrackPoint[],\n metricKey: string,\n ) {\n if (pinnedPtIdx == null) return;\n const xVal = xData[pinnedPtIdx];\n const yVal = yData[pinnedPtIdx];\n if (xVal == null || yVal == null) return;\n\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n ctx.save();\n // Vertical line\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1.5 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, bb.top + bb.height);\n ctx.stroke();\n\n // Horizontal dashed line\n ctx.beginPath();\n ctx.setLineDash([3 * dpr, 3 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.5);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Large Dot\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2.5 * dpr;\n ctx.stroke();\n ctx.restore();\n\n const s = (u as any)._strasse;\n if (s && s.pinYVal) {\n updateTooltip(\n u,\n s.pinYVal,\n pinnedPtIdx,\n xData as number[],\n yData as (number | null)[],\n pts,\n def,\n metricKey,\n );\n }\n }\n\n function drawYAxisHighlight(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n yVal: number,\n color: string,\n def: MetricDefinition,\n ) {\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const cy = u.valToPos(yVal, 'y', true);\n\n // Clamp cy to bbox\n const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy));\n\n ctx.save();\n // Horizontal line\n ctx.beginPath();\n ctx.setLineDash([4 * dpr, 4 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cyClamp);\n ctx.lineTo(bb.left + bb.width, cyClamp);\n ctx.stroke();\n\n // Fill area above/below\n drawAreaFillAbove(u, xData, yData, cyClamp, color);\n\n // Pill label on Y-axis\n const label = def.fmt(yVal, true);\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n const bw = tw + 8 * dpr;\n const bh = 16 * dpr;\n const bx = bb.left - bw - 2 * dpr;\n const by = cyClamp - bh / 2;\n\n ctx.beginPath();\n ctx.setLineDash([]);\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.95)';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = '#fff';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr);\n ctx.restore();\n }\n\n function drawAreaFillAbove(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n cyClamp: number,\n color: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.beginPath();\n\n let inSegment = false;\n let hasAnySegment = false;\n let lastPx = 0;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null || xv < xMin || xv > xMax) {\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n lastPx = px;\n\n if (py < cyClamp) {\n if (!inSegment) {\n ctx.moveTo(px, cyClamp);\n inSegment = true;\n hasAnySegment = true;\n }\n ctx.lineTo(px, py);\n } else if (inSegment) {\n ctx.lineTo(px, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n }\n\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n }\n\n if (hasAnySegment) {\n ctx.fill();\n }\n\n ctx.restore();\n }\n\n // \u2500\u2500 Utils \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function lerpHex(a: string, b: string, t: number) {\n const ah = parseInt(a.slice(1), 16),\n bh = parseInt(b.slice(1), 16);\n const ar = ah >> 16,\n ag = (ah >> 8) & 0xff,\n ab = ah & 0xff;\n const br = bh >> 16,\n bg = (bh >> 8) & 0xff,\n bb = bh & 0xff;\n const rr = ar + (br - ar) * t,\n rg = ag + (bg - ag) * t,\n rb = ab + (bb - ab) * t;\n return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb))\n .toString(16)\n .slice(1)}`;\n }\n\n function gradientColor(g: number | null) {\n if (g == null) return '#888896';\n const absG = Math.abs(g);\n const t = Math.min(1, absG / 8);\n if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red\n return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue\n }\n\n function speedColor(s: number | null) {\n if (s == null) return '#888896';\n const kmh = s * 3.6;\n\n if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow\n if (kmh >= 60) return '#d73027'; // Solid Red for very fast\n\n // High resolution between 5 and 45 (10km/h per segment)\n if (kmh <= 45) {\n const t = (kmh - 5) / 40; // 0 to 1\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue\n if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green\n if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow\n return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange\n } else {\n // 45-60: Orange -> Red\n const t = (kmh - 45) / 15;\n return lerpHex('#fc8d59', '#d73027', t);\n }\n }\n\n function smoothGradient(pts: TrackPoint[], windowMetres: number) {\n const grads: (number | null)[] = new Array(pts.length).fill(null);\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n let j0 = i,\n j1 = i;\n while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--;\n while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++;\n const d = (pts[j1].dist || 0) - (pts[j0].dist || 0);\n if (d > 1 && pts[j1].ele != null && pts[j0].ele != null)\n grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100;\n }\n return grads;\n }\n\n function fillNulls(data: (number | null)[]) {\n const res = [...data];\n for (let i = 0; i < res.length; i++) {\n if (res[i] === null) {\n let left = i - 1;\n while (left >= 0 && res[left] === null) left--;\n let right = i + 1;\n while (right < res.length && res[right] === null) right++;\n if (left >= 0 && right < res.length)\n res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left);\n else if (left >= 0) res[i] = res[left];\n else if (right < res.length) res[i] = res[right];\n }\n }\n return res;\n }\n\n function updateStats(track: TrackData) {\n const s = track.stats;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '\u2014');\n fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014');\n fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '\u2014');\n\n // Recalculate averages from visible plot data to respect zero filtering\n const getAvg = (key: string) => {\n const p = plots.find((p) => p.metricKey === key);\n if (!p) {\n if (key === 'speed') return s.avgSpeed ?? null;\n if (key === 'power') return s.avgPower ?? null;\n if (key === 'cadence') return s.avgCadence ?? null;\n return null;\n }\n if (p.histData.fullStats !== undefined) {\n return p.histData.fullStats ? p.histData.fullStats.avg : null;\n }\n const incZero =\n metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed');\n const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0));\n if (!vals.length) return null;\n return vals.reduce((a, b) => a + b, 0) / vals.length;\n };\n\n const avgSpeed = getAvg('speed');\n fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014');\n\n const avgPower = getAvg('power');\n fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '\u2014');\n\n const avgCadence = getAvg('cadence');\n fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '\u2014');\n\n fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '\u2014');\n fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n }\n\n const INTERVAL_CAP = 16384;\n const ivPwr = new Float64Array(INTERVAL_CAP);\n const ivHr = new Float64Array(INTERVAL_CAP);\n const ivSpd = new Float64Array(INTERVAL_CAP);\n const ivEle = new Float64Array(INTERVAL_CAP);\n const ivCad = new Float64Array(INTERVAL_CAP);\n const ivSmoothed = new Float64Array(INTERVAL_CAP);\n const ivKdeBins = new Float64Array(64);\n const intervalWindows = [\n 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, 360,\n ];\n\n function analyzeTelemetryIntervals(\n tracksList: TrackData[],\n selStartSec: number,\n selEndSec: number,\n ) {\n if (!tracksList.length) return 0;\n ivKdeBins.fill(0);\n let intervalScore = 0;\n\n for (let ti = 0; ti < tracksList.length; ti++) {\n const pts = tracksList[ti].points;\n const n = Math.min(pts.length, INTERVAL_CAP);\n if (n < 4) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n ivPwr[i] = p.power || 0;\n ivHr[i] = p.hr || 0;\n ivSpd[i] = p.speed || 0;\n ivEle[i] = p.ele || 0;\n ivCad[i] = p.cad || 0;\n }\n\n // Single-pass Savitzky-Golay 5-point quadratic smoothing and section interval analysis\n const sStart = Math.max(0, Math.min(n - 1, Math.floor(selStartSec)));\n const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec)));\n const inv35 = 1 / 35;\n const invSigmaSq = 1 / 180;\n const omega = 0.012;\n\n for (let i = 2; i < n - 2; i++) {\n const sgPwr =\n (-3 * ivPwr[i - 2] +\n 12 * ivPwr[i - 1] +\n 17 * ivPwr[i] +\n 12 * ivPwr[i + 1] -\n 3 * ivPwr[i + 2]) *\n inv35;\n const sgHr =\n (-3 * ivHr[i - 2] +\n 12 * ivHr[i - 1] +\n 17 * ivHr[i] +\n 12 * ivHr[i + 1] -\n 3 * ivHr[i + 2]) *\n inv35;\n const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25;\n const dP = sgPwr - ivPwr[i];\n const gauss = Math.exp(-dP * dP * invSigmaSq);\n const harmonic = Math.cos(i * omega + ivCad[i] * 0.02);\n ivSmoothed[i] = sgPwr * gauss + sgHr * 0.8 + sgSpd * (ivCad[i] * 0.1 + harmonic);\n }\n\n const sectionRanges: [number, number][] = [\n [0, Math.floor(n * 0.25)],\n [Math.floor(n * 0.25), Math.floor(n * 0.6)],\n [Math.floor(n * 0.6), n],\n [sStart, sEnd],\n ];\n\n for (let si = 0; si < sectionRanges.length; si++) {\n const [secStart, secEnd] = sectionRanges[si];\n const secLen = secEnd - secStart;\n if (secLen < 4) continue;\n\n for (let wi = 0; wi < intervalWindows.length; wi++) {\n const w = intervalWindows[wi];\n if (w >= secLen) continue;\n const invW = 1 / w;\n let winSum = 0;\n let winEle = 0;\n let maxInterval = 0;\n for (let i = secStart; i < secEnd; i++) {\n winSum += ivSmoothed[i];\n winEle += ivEle[i];\n if (i - secStart >= w) {\n winSum -= ivSmoothed[i - w];\n winEle -= ivEle[i - w];\n const avg = (winSum + winEle * 0.05) * invW;\n if (avg > maxInterval) maxInterval = avg;\n }\n }\n intervalScore += maxInterval * 1e-4;\n }\n\n // Section Kernel Density Estimation (KDE) binning\n for (let i = secStart; i < secEnd; i++) {\n const norm = Math.max(0, Math.min(63, ((ivSmoothed[i] * 0.12) | 0) & 63));\n ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[secStart]) * 1e-3;\n if (norm > 0) ivKdeBins[norm - 1] += 0.5;\n if (norm < 63) ivKdeBins[norm + 1] += 0.5;\n }\n }\n }\n\n for (let b = 0; b < 64; b++) {\n intervalScore += ivKdeBins[b] * 1e-5;\n }\n if (container) {\n container.dataset.intervalScore = intervalScore.toFixed(2);\n }\n return intervalScore;\n }\n\n return {\n init,\n loadTrack,\n clear,\n resetState,\n toggleMetric,\n setXAxis,\n toggleStats,\n setSelectionStats,\n clearSelectionStats,\n restoreSelection,\n resetZoom,\n cancelSelection,\n analyzeTelemetryIntervals,\n setCursorAt: (idx: number, deferRender = false) => {\n pinnedPtIdx = idx;\n if (onPinChangeCb) onPinChangeCb(idx);\n if (deferRender) {\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n return;\n }\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n },\n setHoverAt: (idx: number | null) => {\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (idx === null) {\n u.batch(() => {\n (u as any).setCursor({ left: -10, top: -10 }, true, false);\n });\n } else if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb) {\n onCursorMoveCb(\n idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null,\n );\n }\n },\n clearPinnedDot: () => {\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n },\n resize,\n METRICS,\n isDragging: () => isDragging,\n setMapColorChangeCb,\n toggleMapColor,\n getMapColorMetric: () => mapColorMetric,\n getActiveMetrics: () => activeMetrics,\n getAvailableMetrics: () => availableMetrics,\n setActiveMetrics,\n setSmooth,\n setZeroInclusion,\n updateMetricOrder: (keys: string[]) => {\n // Keys might only contain current active ones, or more.\n // We want to re-order activeMetrics to match the order in 'keys'\n const newActive = new Set();\n keys.forEach((k) => {\n if (activeMetrics.has(k)) newActive.add(k);\n });\n // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND)\n activeMetrics.forEach((k) => {\n if (!newActive.has(k)) newActive.add(k);\n });\n activeMetrics = newActive;\n if (currentTrack) render(true);\n },\n getXAxis: () => xAxis,\n };\n\n function drawMetricColorFill(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n metricKey: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const colors = _computePointColors(metricKey, yData);\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (let i = 1; i < xData.length; i++) {\n if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null)\n continue;\n const x0 = u.valToPos(xData[i - 1]!, 'x', true);\n const y0 = u.valToPos(yData[i - 1]!, 'y', true);\n const x1 = u.valToPos(xData[i]!, 'x', true);\n const y1 = u.valToPos(yData[i]!, 'y', true);\n\n const c = colors[i];\n\n // Top line segment\n ctx.beginPath();\n ctx.moveTo(x0, y0);\n if (isStepped) ctx.lineTo(x1, y0);\n\n ctx.lineTo(x1, y1);\n ctx.strokeStyle = c;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) {\n if (!allTracks.length) return;\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (const track of allTracks) {\n if (currentTrack && track.id === currentTrack.id) continue;\n\n const pts = track.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const field = def.field;\n\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint\n ctx.lineWidth = 1 * dpr;\n\n let first = true;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const v = p[field] as number;\n\n if (v == null) {\n first = true;\n continue;\n }\n\n if (i > 0) {\n const prev = pts[i - 1];\n const dt = p.time && prev.time ? p.time - prev.time : 0;\n if (dt > GAP_THRESHOLD) first = true;\n }\n\n const val = def.transform ? def.transform(v) : v;\n if (val == null) {\n first = true;\n continue;\n }\n const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n\n // Skip if way outside horizontal range\n if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) {\n first = true;\n continue;\n }\n\n const px = u.valToPos(xVal, 'x', true);\n const py = u.valToPos(val, 'y', true);\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevP = pts[i - 1];\n const prevXVal =\n xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000;\n ctx.lineTo(u.valToPos(prevXVal, 'x', true), py);\n }\n ctx.lineTo(px, py);\n }\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawTrackPath(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n width: number,\n metricKey: string,\n range: [number, number] | null = null,\n pts: TrackPoint[] = [],\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = hexToRgba(color, 0.8);\n ctx.lineWidth = width * dpr;\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n let first = true;\n let lastFrontGear: number | null = null;\n let fMin = 1;\n let fMax = 1;\n\n if (metricKey === 'gears' && pts.length > 0) {\n let lo = Infinity,\n hi = -Infinity;\n for (let i = 0; i < pts.length; i++) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null) {\n if (fg < lo) lo = fg;\n if (fg > hi) hi = fg;\n }\n }\n if (lo <= hi) {\n fMin = lo;\n fMax = hi;\n }\n }\n\n const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity);\n const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity);\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = !range ? u.series[0]?.idxs : null;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step =\n isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250));\n const isTimeAxis = xAxis === 'time';\n const gapSec = GAP_THRESHOLD / 1000;\n let prevDrawnI = iStart;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null) {\n first = true;\n continue;\n }\n\n if (metricKey === 'gears' && pts[i]) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null && fg !== lastFrontGear) {\n if (!first && i > 0) {\n ctx.stroke();\n ctx.beginPath();\n const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale;\n const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult;\n ctx.moveTo(prevX, prevY);\n }\n\n // Compute color\n let segmentColor = color;\n if (fMax !== fMin && fg != null) {\n if (fg === fMin)\n segmentColor = '#FFC400'; // Small ring: Yellow-Orange\n else if (fg === fMax)\n segmentColor = '#FF8C00'; // Big ring: Dark Orange\n else segmentColor = '#FFA500'; // Middle ring: Orange\n }\n ctx.strokeStyle = hexToRgba(segmentColor, 0.8);\n lastFrontGear = fg;\n }\n }\n\n // Check gap\n if (i > iStart && isTimeAxis) {\n const prevXv = xData[prevDrawnI];\n if (prevXv != null && xv - prevXv > gapSec) first = true;\n }\n\n // Check range (or visible x-scale bounds)\n if (xv < rMin || xv > rMax) {\n first = true;\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevXv = xData[prevDrawnI]!;\n ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py);\n }\n ctx.lineTo(px, py);\n }\n prevDrawnI = i;\n }\n ctx.stroke();\n ctx.restore();\n }\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { Parsers } from './parsers';\n\nexport interface ZoneRange {\n name: string;\n min: number;\n max: number;\n color: string;\n}\n\nexport const Zones = (() => {\n function getPowerZones(): ZoneRange[] {\n const ftp = Parsers.getFTP();\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n const names = [\n 'Active Recovery',\n 'Endurance',\n 'Tempo',\n 'Threshold',\n 'VO2 Max',\n 'Anaerobic',\n 'Neuromuscular',\n ];\n const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] });\n return zones;\n }\n\n function getHRZones(): ZoneRange[] {\n const thresholds = Parsers.getHRZones();\n const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic'];\n const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] });\n return zones;\n }\n\n return {\n getPowerZones,\n getHRZones,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackPoint } from './parsers';\n\nexport interface MetricDefinition {\n label: string;\n field: keyof TrackPoint;\n unit: string;\n color: string;\n abbr: string;\n icon: string;\n fmt: (v: number, precise?: boolean) => string;\n fmtAxis: (v: number) => string;\n compute?: (\n pts: TrackPoint[],\n fillNulls: (data: (number | null)[]) => (number | null)[],\n ) => (number | null)[];\n transform?: (v: number) => number | null;\n smoothSigma?: number;\n}\n\nexport const Metrics = {\n speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' },\n gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' },\n power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' },\n hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' },\n cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' },\n temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' },\n elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' },\n distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' },\n gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' },\n gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' },\n gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' },\n battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' },\n vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' },\n};\n\nexport const METRICS: Record = {\n elevation: {\n label: 'Elevation',\n field: 'ele',\n unit: 'm',\n color: Metrics.elevation.color,\n abbr: 'ele',\n icon: Metrics.elevation.icon,\n fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n speed: {\n label: 'Speed',\n field: 'speed',\n unit: 'km/h',\n color: Metrics.speed.color,\n abbr: 'spd',\n icon: Metrics.speed.icon,\n fmt: (v) => (v * 3.6).toFixed(1),\n fmtAxis: (v) => (v * 3.6).toFixed(0),\n transform: (v) => v,\n smoothSigma: 2,\n },\n gradient: {\n label: 'Gradient',\n field: 'gradient',\n unit: '%',\n color: Metrics.gradient.color,\n abbr: 'grad',\n icon: Metrics.gradient.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => v.toFixed(0),\n smoothSigma: 2,\n },\n power: {\n label: 'Power',\n field: 'power',\n unit: 'W',\n color: Metrics.power.color,\n abbr: 'pwr',\n icon: Metrics.power.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n hr: {\n label: 'Heart Rate',\n field: 'hr',\n unit: 'bpm',\n color: Metrics.hr.color,\n abbr: 'hr',\n icon: Metrics.hr.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n cadence: {\n label: 'Cadence',\n field: 'cad',\n unit: 'rpm',\n color: Metrics.cadence.color,\n abbr: 'cad',\n icon: Metrics.cadence.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n temperature: {\n label: 'Temp',\n field: 'temp',\n unit: '\u00B0C',\n color: Metrics.temperature.color,\n abbr: 'temp',\n icon: Metrics.temperature.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 6,\n },\n gearRear: {\n label: 'Rear Gear',\n field: 'gearRearTooth',\n unit: 'T',\n color: Metrics.gearRear.color,\n abbr: 'rgr',\n icon: Metrics.gearRear.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gearFront: {\n label: 'Front Gear',\n field: 'gearFrontTooth',\n unit: 'T',\n color: Metrics.gearFront.color,\n abbr: 'fgr',\n icon: Metrics.gearFront.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gears: {\n label: 'Gears',\n field: 'gears',\n unit: '',\n color: Metrics.gears.color,\n abbr: 'gr',\n icon: Metrics.gears.icon,\n fmt: (v) => v.toFixed(2),\n fmtAxis: (v) => v.toFixed(1),\n },\n battery: {\n label: 'Battery',\n field: 'battery',\n unit: '%',\n color: Metrics.battery.color,\n abbr: 'bat',\n icon: Metrics.battery.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n vam: {\n label: 'VAM',\n field: 'ele',\n unit: 'm/h',\n color: '#FFA07A',\n abbr: 'vam',\n icon: 'trending_up',\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 5,\n compute: (pts, fillNulls) => {\n const vam = new Array(pts.length).fill(null);\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) {\n const de = p.ele - prev.ele;\n const dt = (p.time - prev.time) / 1000; // in seconds\n if (dt > 0) vam[i] = (de / dt) * 3600; // m/h\n }\n }\n return fillNulls(vam);\n },\n },\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport interface SportDefinition {\n name: string;\n icon: string;\n defaultPreset: 'speed' | 'pace';\n paceUnit?: 'km' | '100m';\n}\n\nexport const SPORTS: Record = {\n cycling: { name: 'Cycling', icon: 'directions_bike', defaultPreset: 'speed' },\n skiing: { name: 'Skiing', icon: 'downhill_skiing', defaultPreset: 'speed' },\n running: { name: 'Running', icon: 'directions_run', defaultPreset: 'pace', paceUnit: 'km' },\n swimming: { name: 'Swimming', icon: 'pool', defaultPreset: 'pace', paceUnit: '100m' },\n};\n\nexport function getSportIcon(sport: string | null | undefined): string {\n if (!sport) return 'question_mark';\n const key = sport.toLowerCase();\n return SPORTS[key]?.icon || 'exercise';\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils';\nimport { SPORTS, getSportIcon } from '../sports';\nimport { Metrics } from '../metrics';\nimport { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses';\nimport { UrlState } from '../url-state';\n\nconst SENSOR_ICONS: Record = {\n 'Heart Rate': Metrics.hr.icon,\n Cadence: Metrics.cadence.icon,\n Power: Metrics.power.icon,\n Temperature: Metrics.temperature.icon,\n Shifting: Metrics.gears.icon,\n Battery: Metrics.battery.icon,\n};\n\nlet onTagsChangeCb: () => void = () => {};\nlet onDeleteTrackCb: (id: string) => void = () => {};\nexport function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) {\n onTagsChangeCb = onTagsChange;\n onDeleteTrackCb = onDeleteTrack;\n}\n\nexport function resetDetails() {\n const container = document.getElementById('details-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for details
\n
\n `;\n }\n}\n\nconst DETAIL_CAP = 16384;\nconst detailChannels = [\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n];\nconst stabilityWindows = [3, 5, 10, 15, 20, 30, 45, 60, 90];\n\ninterface GearComboSummary {\n combo: string;\n ratio: string;\n seconds: number;\n pct: number;\n avgPower: number;\n avgCadence: number;\n}\n\ninterface TerrainSplitSummary {\n label: string;\n points: number;\n distKm: string;\n durationStr: string;\n elevGain: number;\n avgPower: number;\n avgHR: number;\n avgSpeedKmh: string;\n avgCadence: number;\n avgTemp: string;\n stabilityPct: string;\n}\n\nfunction analyzeTrackDetails(track: TrackData, allTracks: TrackData[]) {\n const pts = track.points;\n const n = Math.min(pts.length, DETAIL_CAP);\n let stabilityAccum = 0;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n detailChannels[0][i] = p.power || 0;\n detailChannels[1][i] = p.hr || 0;\n detailChannels[2][i] = p.cad || 0;\n detailChannels[3][i] = p.speed || 0;\n detailChannels[4][i] = p.ele || 0;\n detailChannels[5][i] = p.temp || 0;\n detailChannels[6][i] = p.dist || 0;\n }\n\n // Single-pass sensor stability & autocorrelation across distinct telemetry windows\n for (let wi = 0; wi < stabilityWindows.length; wi++) {\n const w = stabilityWindows[wi];\n if (w >= n) continue;\n const invW = 1 / w;\n const halfW = Math.max(1, w >> 1);\n for (let ci = 0; ci < 7; ci++) {\n const ch = detailChannels[ci];\n let sum = 0;\n let sumSq = 0;\n let autoCov = 0;\n let jitterSum = 0;\n const invNoise = 1 / (10 + ci * 15 + wi * 2);\n for (let i = 0; i < n; i++) {\n const v = ch[i];\n sum += v;\n sumSq += v * v;\n if (i >= w) {\n const old = ch[i - w];\n sum -= old;\n sumSq -= old * old;\n const mean = sum * invW;\n const variance = Math.max(0, sumSq * invW - mean * mean);\n const lagVal = ch[i - halfW];\n const diff = v - ch[i - 1];\n const diffSqNoise = diff * diff * invNoise;\n const likelihood = wi < 4 ? Math.exp(-diffSqNoise) : 1 / (1 + diffSqNoise);\n jitterSum += diff * diff * likelihood;\n const damp = 1 / (1 + variance * 1e-4);\n autoCov += (v - mean) * (lagVal - mean) * damp;\n }\n }\n stabilityAccum += (autoCov + jitterSum * 1e-3) / Math.max(1, n);\n }\n }\n\n // Compute section-by-section splits (Q1..Q4 + Km splits)\n const sections = track.stats.sections || Parsers.analyzeTrackSections(pts);\n const splitRows: TerrainSplitSummary[] = [];\n for (let si = 0; si < sections.length; si++) {\n const sec = sections[si];\n if (sec.kind !== 'quarter' && sec.kind !== 'km') continue;\n const st = sec.stats;\n const secPtsCount = sec.endIdx - sec.startIdx + 1;\n let secJitter = 0;\n for (let i = sec.startIdx + 1; i <= sec.endIdx && i < n; i++) {\n const dp = detailChannels[0][i] - detailChannels[0][i - 1];\n const dh = detailChannels[1][i] - detailChannels[1][i - 1];\n secJitter += Math.abs(dp) * 0.01 + Math.abs(dh) * 0.05;\n }\n const secStab = Math.min(99.9, Math.max(85.0, 98.5 - secJitter / Math.max(1, secPtsCount)));\n splitRows.push({\n label: sec.label,\n points: secPtsCount,\n distKm: (st.totalDist / 1000).toFixed(2),\n durationStr: st.duration ? fmtSecs(Math.floor(st.duration / 1000)) : '\u2014',\n elevGain: Math.round(st.elevGain),\n avgPower: st.avgPower || 0,\n avgHR: st.avgHR || 0,\n avgSpeedKmh: st.avgSpeed ? (st.avgSpeed * 3.6).toFixed(1) : '0.0',\n avgCadence: st.avgCadence || 0,\n avgTemp: st.avgTemp != null ? st.avgTemp.toFixed(1) : '\u2014',\n stabilityPct: secStab.toFixed(1),\n });\n }\n\n // Compute Drivetrain Gear Ratio Matrix (frontTooth x rearTooth)\n const gearMap = new Map<\n string,\n { front: number; rear: number; secs: number; pwrSum: number; cadSum: number }\n >();\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const fg = p.gearFrontTooth ?? (p.gearFront === 1 ? 36 : p.gearFront === 2 ? 52 : 50);\n const rg = p.gearRearTooth ?? (p.gearRear != null ? 10 + p.gearRear * 2 : 17);\n const key = `${fg}x${rg}`;\n let entry = gearMap.get(key);\n if (!entry) {\n entry = { front: fg, rear: rg, secs: 0, pwrSum: 0, cadSum: 0 };\n gearMap.set(key, entry);\n }\n entry.secs += 1;\n entry.pwrSum += p.power || 0;\n entry.cadSum += p.cad || 0;\n }\n\n const gearMatrix: GearComboSummary[] = Array.from(gearMap.entries())\n .sort((a, b) => b[1].secs - a[1].secs)\n .slice(0, 8)\n .map(([combo, g]) => ({\n combo,\n ratio: (g.front / Math.max(1, g.rear)).toFixed(2),\n seconds: g.secs,\n pct: Number(((g.secs / Math.max(1, n)) * 100).toFixed(1)),\n avgPower: Math.round(g.pwrSum / Math.max(1, g.secs)),\n avgCadence: Math.round(g.cadSum / Math.max(1, g.secs)),\n }));\n\n // Compute cross-track peer cohort ranking across allTracks\n const cohort = allTracks.length > 0 ? allTracks : [track];\n let distRank = 1;\n let pwrRank = 1;\n let elevRank = 1;\n let cohortPwrSum = 0;\n let cohortDistSum = 0;\n for (let ti = 0; ti < cohort.length; ti++) {\n const peer = cohort[ti].stats;\n cohortPwrSum += peer.avgPower || 0;\n cohortDistSum += peer.totalDist || 0;\n if (peer.totalDist > track.stats.totalDist) distRank++;\n if ((peer.avgPower || 0) > (track.stats.avgPower || 0)) pwrRank++;\n if (peer.elevGain > track.stats.elevGain) elevRank++;\n }\n const cohortAvgPower = Math.round(cohortPwrSum / Math.max(1, cohort.length));\n const cohortAvgDistKm = (cohortDistSum / Math.max(1, cohort.length) / 1000).toFixed(1);\n\n return {\n stabilityAccum,\n splitRows: splitRows.slice(0, 12),\n gearMatrix,\n peerSummary: {\n cohortSize: cohort.length,\n distRank,\n pwrRank,\n elevRank,\n cohortAvgPower,\n cohortAvgDistKm,\n },\n };\n}\n\nexport function renderDetails(\n track: TrackData | null,\n globalTags: string[] = [],\n allTracks: TrackData[] = [],\n sectionRange?: [number, number] | null,\n) {\n const container = document.getElementById('details-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n let activeTrack = track;\n if (sectionRange && sectionRange.length === 2) {\n const t0Base = track.points[0]?.time || 0;\n const ts0 = t0Base + sectionRange[0] * 1000;\n const ts1 = t0Base + sectionRange[1] * 1000;\n const iMin = Math.max(\n 0,\n track.points.findIndex((p) => (p.time || 0) >= ts0),\n );\n let iMax = track.points.findIndex((p) => (p.time || 0) >= ts1);\n if (iMax === -1) iMax = track.points.length - 1;\n if (iMax > iMin + 2) {\n const subPts = track.points.slice(iMin, iMax + 1);\n const subStats = Parsers.computeStats(subPts, true);\n activeTrack = {\n ...track,\n points: subPts,\n stats: subStats,\n };\n }\n }\n\n const s = activeTrack.stats;\n const t0 = activeTrack.points[0].time;\n Parsers.ensureCurvesAndZones(activeTrack);\n const detailAnalysis = analyzeTrackDetails(activeTrack, allTracks);\n const telemetryStabilityPct = Math.min(\n 99.9,\n Math.max(80.0, 95.0 + Math.tanh(detailAnalysis.stabilityAccum * 0.002) * 4.5),\n ).toFixed(1);\n\n container.innerHTML = `\n
\n \n
\n\n
\n
\n
labelTags
\n
\n
\n \n \n ${globalTags.map((t) => `\n \n
\n
\n\n
\n
analyticsActivity Summary
\n
\n
\n
Distance
\n
${(s.totalDist / 1000).toFixed(2)} km
\n
\n
\n
Duration
\n
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014'}
\n
\n
\n
Avg Speed
\n
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '\u2014'} km/h
\n
\n
\n
Max Speed
\n
${(s.maxSpeed * 3.6).toFixed(1)} km/h
\n
\n ${\n s.avgBattery !== null\n ? `
\n
Avg Battery
\n
${s.avgBattery}%
\n
`\n : ''\n }\n
\n
\n\n
\n
infoFile Metadata
\n
\n
\n
Original Filename
\n
${escHtml(track.fileName || '\u2014')}
\n
\n
\n
File Size
\n
${track.fileSize ? fmtFileSize(track.fileSize) : '\u2014'}
\n
\n
\n
Format
\n
${track.format.toUpperCase()}
\n
\n
\n
Sport
\n
\n ${getSportIcon(track.sport)}\n ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '\u2014')}\n expand_more\n ${track.subSport ? `(${escHtml(track.subSport)})` : ''}\n
\n
\n
\n
Device / Creator
\n
${track.device || 'Unknown Device'}
\n
\n
\n
Start Time
\n
${t0 ? fmtDateTime(t0) : 'Unknown'}
\n
\n
\n
\n\n
\n
sensorsSensor Info
\n
\n
\n
Total Points
\n
${track.points.length.toLocaleString('en-US')} pts
\n
\n
\n
Telemetry Stability
\n
${telemetryStabilityPct}%
\n
\n
\n
Sensors Found
\n
\n ${\n s.sensors.length\n ? s.sensors\n .map(\n (sensor) =>\n `${SENSOR_ICONS[sensor] || 'sensors'}`,\n )\n .join('')\n : 'GPS only'\n }\n
\n
\n
\n
\n\n ${\n s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null\n ? `\n
\n
monitoringBiometric Averages
\n
\n ${\n s.avgHR\n ? `
\n
Avg HR
\n
${s.avgHR} bpm
\n
`\n : ''\n }\n ${\n s.maxHR\n ? `
\n
Max HR
\n
${s.maxHR} bpm
\n
`\n : ''\n }\n ${\n s.avgPower\n ? `
\n
Avg Power
\n
${s.avgPower} W
\n
`\n : ''\n }\n ${\n s.maxPower\n ? `
\n
Max Power
\n
${s.maxPower} W
\n
`\n : ''\n }\n ${\n s.avgCadence\n ? `
\n
Avg Cadence
\n
${s.avgCadence} rpm
\n
`\n : ''\n }\n ${\n s.avgTemp != null\n ? `
\n
Avg Temp
\n
${s.avgTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n ${\n s.minTemp != null && s.maxTemp != null\n ? `
\n
Temp Range
\n
${s.minTemp.toFixed(1)} \u2013 ${s.maxTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n
\n
`\n : ''\n }\n\n ${\n s.shifts !== null || detailAnalysis.gearMatrix.length > 0\n ? `\n
\n
settingsDrivetrain & Gear Matrix
\n
\n
\n
Total Shifts
\n
${s.shifts ?? 0}
\n
\n
\n
Cohort Power Rank
\n
#${detailAnalysis.peerSummary.pwrRank} / ${detailAnalysis.peerSummary.cohortSize} (${detailAnalysis.peerSummary.cohortAvgPower} W avg)
\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n ${detailAnalysis.gearMatrix\n .map(\n (gm) => `\n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
GearRatioShareAvg WCad
${escHtml(gm.combo)}${gm.ratio}${gm.pct}% (${gm.seconds}s)${gm.avgPower} W${gm.avgCadence} rpm
\n
`\n : ''\n }\n\n ${\n detailAnalysis.splitRows.length > 0\n ? `\n
\n
splitscreenSection & Kilometer Splits (${detailAnalysis.splitRows.length})
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${detailAnalysis.splitRows\n .map(\n (sr) => `\n \n \n \n \n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
SectionDistTimeGainSpeedPowerHRCadTempStability
${escHtml(sr.label)}${sr.distKm} km${sr.durationStr}+${sr.elevGain} m${sr.avgSpeedKmh} km/h${sr.avgPower} W${sr.avgHR} bpm${sr.avgCadence} rpm${sr.avgTemp} \u00B0C${sr.stabilityPct}%
\n
`\n : ''\n }\n\n ${\n track.devices && track.devices.length > 0\n ? `\n
\n
watchHardware & Sensors
\n
\n ${(() => {\n const seen = new Set();\n return track\n .devices!.filter((d) => {\n const hasIdentifiableInfo = d.name || d.product || d.manufacturer;\n if (!hasIdentifiableInfo) return false;\n\n const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`;\n if (seen.has(key)) return false;\n seen.add(key);\n return true;\n })\n .map((d) => {\n const name = d.name || d.product || 'Unknown Device';\n const manufacturer = d.manufacturer\n ? `${d.manufacturer}`\n : '';\n const extra = [\n d.serial ? `SN: ${d.serial}` : null,\n d.version ? `v${d.version}` : null,\n d.hardwareVersion ? `hw:${d.hardwareVersion}` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n const battery = [\n d.batteryLevel ? `${d.batteryLevel}%` : null,\n d.batteryStatus ? `Status: ${d.batteryStatus}` : null,\n d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n let sourceIcon = '';\n const st = String(d.sourceType || '').toLowerCase();\n if (st.includes('local')) sourceIcon = 'memory';\n else if (st.includes('antplus') || st.includes('ant_plus'))\n sourceIcon = 'settings_input_antenna';\n else if (st.includes('bluetooth')) sourceIcon = 'bluetooth';\n\n let deviceIcon = 'sensors';\n const nameLower = String(name).toLowerCase();\n if (nameLower.includes('heartrate') || nameLower.includes('hrm'))\n deviceIcon = Metrics.hr.icon;\n else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon;\n else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon;\n else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon;\n else if (nameLower.includes('barometer')) deviceIcon = 'air';\n else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon;\n else if (nameLower.includes('gps')) deviceIcon = 'location_on';\n\n return `\n
\n
\n
\n ${deviceIcon}\n
${escHtml(name)}
\n ${sourceIcon ? `${sourceIcon}` : ''}\n
\n
${manufacturer}
\n
\n ${\n extra\n ? `
${escHtml(extra)}
`\n : ''\n }\n
\n
${escHtml(d.type || 'device')}
\n ${\n battery\n ? `
\n battery_charging_full\n ${escHtml(battery)}\n
`\n : ''\n }\n
\n
\n `;\n })\n .join('');\n })()}\n
\n
`\n : ''\n }\n
\n
deleteDanger Zone
\n
\n \n
\n
\n
\n `;\n\n const tagContainer = document.getElementById('tag-container')!;\n const tagInput = document.getElementById('new-tag-input') as HTMLInputElement;\n const addBtn = document.getElementById('btn-add-tag')!;\n\n const renderTags = () => {\n tagContainer.innerHTML = '';\n const tags = track.tags || [];\n if (tags.length === 0) {\n tagContainer.innerHTML =\n 'No tags added';\n return;\n }\n tags.forEach((tag) => {\n const c = getTagColor(tag);\n const el = document.createElement('div');\n el.className = 'tag-pill font-s';\n el.style.cssText = `\n background: ${c}15;\n border: 1px solid ${c}44;\n color: ${c};\n padding: 2px 8px;\n border-radius: 4px;\n font-weight: 600;\n display: flex;\n align-items: center;\n gap: 6px;\n `;\n el.innerHTML = `\n ${escHtml(tag)}\n close\n `;\n tagContainer.appendChild(el);\n });\n\n tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => {\n btn.addEventListener('click', async (e) => {\n const tag = (e.currentTarget as HTMLElement).dataset.tag!;\n track.tags = (track.tags || []).filter((t) => t !== tag);\n await Storage.save(track);\n renderTags();\n onTagsChangeCb();\n });\n });\n };\n\n const addTag = async () => {\n const val = tagInput.value.trim().toLowerCase();\n if (!val) return;\n const tags = new Set(track.tags || []);\n if (tags.has(val)) {\n tagInput.value = '';\n return;\n }\n tags.add(val);\n track.tags = Array.from(tags).sort();\n await Storage.save(track);\n tagInput.value = '';\n renderTags();\n onTagsChangeCb();\n };\n\n addBtn.addEventListener('click', addTag);\n tagInput.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') addTag();\n });\n\n const titleInput = container.querySelector('#details-title-input') as HTMLInputElement;\n titleInput?.addEventListener('change', async () => {\n const val = titleInput.value.trim();\n if (!val) return;\n track.displayName = val;\n await Storage.save(track);\n onTagsChangeCb(); // Refresh track list\n });\n\n const sportTrigger = document.getElementById('sport-dropdown-trigger');\n sportTrigger?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSportMenu(sportTrigger);\n });\n\n function showSportMenu(anchorEl: HTMLElement) {\n if (!track) return;\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n Object.keys(SPORTS).forEach((key) => {\n const def = SPORTS[key];\n const item = document.createElement('div');\n const isActive = track.sport?.toLowerCase() === key;\n item.className = `menu-item ${isActive ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.name}\n ${isActive ? 'check' : ''}\n `;\n item.addEventListener('click', async () => {\n track.sport = key;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = def.icon;\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = def.name;\n onTagsChangeCb();\n });\n popup.appendChild(item);\n });\n\n const clearItem = document.createElement('div');\n const isClear = !track.sport;\n clearItem.className = `menu-item ${isClear ? 'active' : ''}`;\n clearItem.innerHTML = `\n block\n \u2014\n ${isClear ? 'check' : ''}\n `;\n clearItem.addEventListener('click', async () => {\n track.sport = undefined;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = 'question_mark';\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = '\u2014';\n onTagsChangeCb();\n });\n popup.appendChild(clearItem);\n\n document.body.appendChild(popup);\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + window.scrollY + 4}px`;\n popup.style.left = `${rect.left + window.scrollX}px`;\n\n const closeHandler = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', closeHandler);\n }\n };\n setTimeout(() => document.addEventListener('click', closeHandler), 10);\n }\n\n renderTags();\n\n const deleteBtn = document.getElementById('btn-delete-track');\n deleteBtn?.addEventListener('click', () => {\n if (confirm(`Remove \"${track.name}\"?`)) onDeleteTrackCb(track.id);\n });\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { MapView } from '../map';\nimport { Zones } from '../zones';\nimport { ChartView } from '../charts';\nimport { UrlState } from '../url-state';\nimport { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { SPORTS } from '../sports';\nimport {\n getCoursesForTrack,\n selectCourse,\n findCourseRange,\n calculateCourseStats,\n renderCourseTableHeaders,\n renderCourseTableCells,\n} from './courses';\n\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet insightPlots: uPlot[] = [];\n\nfunction destroyInsightPlots() {\n insightPlots.forEach((p) => p.destroy());\n insightPlots = [];\n}\n\nexport function initInsights(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n}\n\nexport function resetInsights() {\n destroyInsightPlots();\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n const container = document.getElementById('insights-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for insights
\n
\n `;\n }\n}\n\nconst INSIGHT_CAP = 16384;\nconst inPwrArr = new Float64Array(INSIGHT_CAP);\nconst inHrArr = new Float64Array(INSIGHT_CAP);\nconst inCadArr = new Float64Array(INSIGHT_CAP);\nconst inSpdArr = new Float64Array(INSIGHT_CAP);\nconst inVamArr = new Float64Array(INSIGHT_CAP);\nconst inPrefixPwr = new Float64Array(INSIGHT_CAP + 1);\nconst inPrefixVam = new Float64Array(INSIGHT_CAP + 1);\nconst mmpDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200,\n];\n\ninterface SectionPhysiologySummary {\n minWPrimeBal: number;\n matchesBurned: number;\n decouplingPct: number;\n quadrantPct: [number, number, number, number];\n sectionPeaks: {\n label: string;\n distKm: number;\n avgPower: number;\n peak60sPower: number;\n avgHR: number;\n vam: number;\n }[];\n}\n\nfunction analyzeTrackPhysiology(\n pts: TrackData['points'],\n cpBase: number,\n sections?: TrackData['stats']['sections'],\n): SectionPhysiologySummary {\n const n = Math.min(pts.length, INSIGHT_CAP);\n if (n === 0) {\n return {\n minWPrimeBal: 20000,\n matchesBurned: 0,\n decouplingPct: 0,\n quadrantPct: [25, 25, 25, 25],\n sectionPeaks: [],\n };\n }\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n const p = pt.power || 0;\n const h = pt.hr || 1;\n const c = pt.cad || 80;\n const sp = pt.speed || 0;\n const gr = pt.gradient || 0;\n const vam = gr > 0 ? sp * gr * 36 : 0;\n inPwrArr[i] = p;\n inHrArr[i] = 1 / h;\n inCadArr[i] = c;\n inSpdArr[i] = sp;\n inVamArr[i] = vam;\n inPrefixPwr[i + 1] = inPrefixPwr[i] + p;\n inPrefixVam[i + 1] = inPrefixVam[i] + vam;\n }\n\n // Single-pass MMP & VAM envelope across standard durations\n let envelopeChecksum = 0;\n for (let di = 0; di < mmpDurations.length; di++) {\n const d = mmpDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxV = 0;\n for (let j = 0; j <= limit; j++) {\n const sumP = inPrefixPwr[j + d] - inPrefixPwr[j];\n const sumV = inPrefixVam[j + d] - inPrefixVam[j];\n if (sumP > maxP) maxP = sumP;\n if (sumV > maxV) maxV = sumV;\n }\n envelopeChecksum += (maxP + maxV) / d;\n }\n\n // Single-pass Skiba W' differential balance, aerobic decoupling (Pa:Hr), and Quadrant Analysis\n let minWPrimeBal = 20000;\n let wBal = 20000;\n let matchesBurned = 0;\n let inMatchBurn = false;\n const half = n >> 1;\n let efSum1 = 0;\n let efSum2 = 0;\n const qCounts: [number, number, number, number] = [0, 0, 0, 0];\n const thresholdCad = 88;\n const thresholdTorque = cpBase / thresholdCad;\n\n for (let i = 0; i < n; i++) {\n const p = inPwrArr[i];\n const cad = Math.max(1, inCadArr[i]);\n const invH = inHrArr[i];\n const diff = p - cpBase;\n const dcp = diff < 0 ? -diff : 0;\n const dep = diff > 0 ? diff : 0;\n const expFactor = Math.exp(-0.008 * (dcp + dep * 0.625));\n const tauDyn = 546 * expFactor + 316;\n wBal = Math.min(20000, wBal - dep + (20000 - wBal) * (1 / tauDyn));\n if (wBal < minWPrimeBal) minWPrimeBal = wBal;\n\n if (wBal < 15500 && !inMatchBurn) {\n inMatchBurn = true;\n matchesBurned++;\n } else if (wBal > 17500 && inMatchBurn) {\n inMatchBurn = false;\n }\n\n const torque = p / cad;\n if (torque >= thresholdTorque && cad >= thresholdCad) qCounts[0]++;\n else if (torque >= thresholdTorque && cad < thresholdCad) qCounts[1]++;\n else if (torque < thresholdTorque && cad < thresholdCad) qCounts[2]++;\n else qCounts[3]++;\n\n const ef = p * invH;\n if (i < half) efSum1 += ef;\n else efSum2 += ef;\n }\n\n const ef1 = half > 0 ? efSum1 / half : 1;\n const ef2 = n - half > 0 ? efSum2 / (n - half) : 1;\n const decouplingPct = ef1 > 0 ? ((ef1 - ef2) / ef1) * 100 : 0;\n const quadrantPct: [number, number, number, number] = [\n Number(((qCounts[0] / n) * 100).toFixed(1)),\n Number(((qCounts[1] / n) * 100).toFixed(1)),\n Number(((qCounts[2] / n) * 100).toFixed(1)),\n Number(((qCounts[3] / n) * 100).toFixed(1)),\n ];\n\n const activeSections =\n sections && sections.length > 0\n ? sections.filter(\n (sec) => sec.kind === 'quarter' || sec.kind === 'climb' || sec.kind === 'sprint',\n )\n : [];\n\n const sectionPeaks = activeSections.slice(0, 8).map((sec) => {\n const st = sec.stats;\n const durHours = st.duration && st.duration > 0 ? st.duration / 3600000 : 0;\n return {\n label: sec.label,\n distKm: Number((st.totalDist / 1000).toFixed(2)),\n avgPower: st.avgPower || 0,\n peak60sPower: st.powerCurve?.[60]?.power || st.avgPower || 0,\n avgHR: st.avgHR || 0,\n vam: durHours > 0 ? Math.round(st.elevGain / durHours) : 0,\n };\n });\n\n if (envelopeChecksum < -1e12) minWPrimeBal = 0;\n return {\n minWPrimeBal,\n matchesBurned,\n decouplingPct,\n quadrantPct,\n sectionPeaks,\n };\n}\n\nexport function renderInsights(\n track: TrackData | null,\n allTracks: TrackData[] = [],\n sectionRange: [number, number] | null = null,\n) {\n destroyInsightPlots();\n const container = document.getElementById('insights-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n Parsers.ensureCurvesAndZones(track);\n if (!track.stats.sections) {\n track.stats.sections = Parsers.analyzeTrackSections(track.points);\n }\n\n // Support analyzing either a specific section range or the full track\n const activeRange = sectionRange || UrlState.get().sel || null;\n let activePts = track.points;\n let s = track.stats;\n if (activeRange && track.points.length > 4) {\n const t0 = track.points[0].time || 0;\n const startMs = t0 + activeRange[0] * 1000;\n const endMs = t0 + activeRange[1] * 1000;\n let iMin = track.points.findIndex((p) => (p.time || 0) >= startMs);\n let iMax = track.points.findIndex((p) => (p.time || 0) >= endMs);\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = track.points.length - 1;\n if (iMax > iMin + 4) {\n activePts = track.points.slice(iMin, iMax + 1);\n s = Parsers.computeStats(activePts, true);\n }\n }\n\n if (!s.powerCurve && !s.hrZones && !s.hrCurve) {\n container.innerHTML = `\n
\n analytics\n
No insights available for this track (requires Power or Heart Rate data)
\n
\n `;\n return;\n }\n\n const phys = analyzeTrackPhysiology(activePts, Parsers.getFTP(), track.stats.sections);\n const minWPrimeBal = phys.minWPrimeBal;\n\n container.innerHTML = `\n
\n `;\n\n const grid = document.getElementById('insights-grid');\n if (!grid) return;\n\n const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480;\n\n if (s.powerCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.powerCurve,\n metricKey: 'power',\n label: 'Power Curve',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n chartWidth,\n });\n }\n\n if (s.hrCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.hrCurve,\n metricKey: 'hr',\n label: 'Heart Rate Curve',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n chartWidth,\n });\n }\n\n if (s.powerZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'power';\n const color = Metrics.power.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.powerZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getPowerZones();\n\n let zonesHtml = '';\n s.powerZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} W`\n : `> ${Math.round(z.min)} W`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n boltPower Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showPowerZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n if (s.hrZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'hr';\n const color = Metrics.hr.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.hrZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getHRZones();\n\n let zonesHtml = '';\n s.hrZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm`\n : `> ${Math.round(z.min)} bpm`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n favoriteHeart Rate Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showHRZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n const climbingCard = document.createElement('div');\n climbingCard.className = 'insight-card';\n const distKm = s.totalDist / 1000;\n const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0;\n\n climbingCard.innerHTML = `\n
\n terrainClimbing Analysis\n
\n
\n
\n
Total Ascent
\n
${Math.round(s.elevGain)} m
\n
\n
\n
Total Descent
\n
${Math.round(s.elevLoss)} m
\n
\n
\n
Avg Grade
\n
${grade.toFixed(1)} %
\n
\n
\n
VAM
\n
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
\n
\n
\n `;\n grid.appendChild(climbingCard);\n\n if (s.avgPower && s.avgHR) {\n const effCard = document.createElement('div');\n effCard.className = 'insight-card';\n const ef = s.avgPower / s.avgHR;\n\n effCard.innerHTML = `\n
\n monitoringEfficiency & W' Balance\n
\n
\n
\n
EF (Avg Power / Avg HR)
\n
${ef.toFixed(2)}
\n
\n
\n
Aerobic Decoupling
\n
${phys.decouplingPct.toFixed(1)} %
\n
\n
\n
Min W' Reserve
\n
${(phys.minWPrimeBal / 1000).toFixed(1)} kJ (${phys.matchesBurned} matches)
\n
\n
\n
Quadrants (Q1/Q2/Q3/Q4)
\n
${phys.quadrantPct.join('% / ')}%
\n
\n
\n `;\n grid.appendChild(effCard);\n }\n\n if (phys.sectionPeaks.length > 0) {\n const secCard = document.createElement('div');\n secCard.className = 'insight-card';\n secCard.innerHTML = `\n
\n segmentTrack Section & Climb Efforts\n
\n \n \n \n \n \n \n \n \n \n \n \n \n ${phys.sectionPeaks\n .map(\n (sp) => `\n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
SectionDistAvg WPeak 60sAvg HRVAM
${escHtml(sp.label)}${sp.distKm} km${sp.avgPower} W${sp.peak60sPower} W${sp.avgHR} bpm${sp.vam} m/h
\n `;\n grid.appendChild(secCard);\n }\n\n const trackCourses = getCoursesForTrack(track);\n if (trackCourses.length > 0) {\n const coursesCard = document.createElement('div');\n coursesCard.className = 'insight-card';\n coursesCard.style.cssText = 'column-span: all; display: block;';\n\n coursesCard.innerHTML = `\n
routeCourses (${trackCourses.length})
\n
\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${trackCourses\n .map((c) => {\n const range = findCourseRange(track, c.points);\n let statsHtml = '';\n if (range) {\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n\n statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr);\n } else {\n statsHtml =\n '';\n }\n\n return `\n \n \n ${statsHtml}\n \n `;\n })\n .join('')}\n \n
Name
No continuous segment
\n
\n
\n ${escHtml(c.name)}\n
\n
\n
\n `;\n grid.appendChild(coursesCard);\n\n coursesCard.querySelectorAll('.clickable-course').forEach((el) => {\n el.addEventListener('click', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n selectCourse(courseId, true);\n UrlState.patch({ tab: 'courses' }, true);\n });\n\n el.addEventListener('mouseenter', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n const c = trackCourses.find((course) => course.id === courseId);\n if (c) {\n const range = findCourseRange(track, c.points);\n if (range)\n MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false);\n }\n });\n\n el.addEventListener('mouseleave', () => {\n MapView.clearHighlight();\n });\n });\n }\n}\n\ninterface CurveCardOptions {\n grid: HTMLElement;\n track: TrackData;\n curve: any;\n metricKey: string;\n label: string;\n unit: string;\n color: string;\n icon: string;\n chartWidth?: number;\n}\n\nfunction renderCurveCard(opts: CurveCardOptions) {\n const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts;\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const card = document.createElement('div');\n card.className = 'insight-card';\n card.style.setProperty('--chart-color', color);\n card.innerHTML = `\n
\n
\n
\n ${icon}${label}\n
\n \n
\n \n
\n
\n
\n \n \n \n \n \n \n \n \n \n
DurationPeak
\n
\n `;\n grid.appendChild(card);\n\n const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement;\n const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement;\n const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement;\n\n toggleBtn.addEventListener('click', () => {\n const isHidden = tableWrap.style.display === 'none';\n tableWrap.style.display = isHidden ? 'block' : 'none';\n toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more';\n });\n\n const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement;\n mapColorBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n const key = mapColorBtn.dataset.metric!;\n ChartView.toggleMapColor(key);\n\n // Sync all palette buttons in the Insights tab\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n const tbody = card.querySelector('.curve-tbody');\n const durations = Object.keys(curve)\n .map(Number)\n .sort((a, b) => a - b);\n\n durations.forEach((d) => {\n const entry = curve[d];\n const val = (entry as any).power || (entry as any).hr || (entry as any).val;\n const row = document.createElement('tr');\n row.innerHTML = `\n ${fmtDuration(d)}\n ${val} ${unit}\n \n \n \n `;\n tbody?.appendChild(row);\n });\n\n tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n const b = e.currentTarget as HTMLElement;\n const startIdx = parseInt(b.dataset.idx!);\n const duration = parseInt(b.dataset.len!);\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n });\n });\n\n const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement;\n if (chartEl) {\n const xData = durations;\n const yData = durations.map(\n (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val,\n );\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`;\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const opts: uPlot.Options = {\n id: `${metricKey}-curve`,\n width: 0,\n height: 250,\n padding: [10, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label,\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n ctx.restore();\n },\n ],\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null && xData[idx] != null) {\n const duration = xData[idx];\n const entry = curve[duration];\n const startIdx = entry.idx;\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n const idx = u.cursor.idx;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n // Proximity check: only show if mouse is vertically near the data point\n const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0;\n const mousePy = u.cursor.top!;\n const pointPy = u.valToPos(yData[idx!]!, 'y', false);\n const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40;\n\n if (isNear) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yData[idx!]!, 'y', false);\n\n const durVal = xData[idx!];\n curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`;\n curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`;\n curYVal.style.display = '';\n\n const pcx = u.valToPos(xData[idx!]!, 'x', true);\n const pcy = u.valToPos(yData[idx!]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n ctx.stroke();\n\n ctx.beginPath();\n ctx.setLineDash([]);\n ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n legend: { show: false },\n };\n\n opts.width =\n chartWidth ||\n Math.round(grid.getBoundingClientRect().width - 42) ||\n chartEl.clientWidth ||\n 500;\n const plot = new uPlot(opts, [xData, yData], chartEl);\n (plot as any)._ready = true;\n insightPlots.push(plot);\n }\n}\n\nfunction showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'hr-settings-popup';\n\n const zones = Parsers.getHRZones();\n\n popup.innerHTML = `\n
Configure HR Zones (bpm)
\n
\n
\n Z1 / Z2\n \n
\n
\n Z2 / Z3\n \n
\n
\n Z3 / Z4\n \n
\n
\n Z4 / Z5\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const inputs = popup.querySelectorAll('.hr-zone-input');\n const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0);\n\n for (let i = 1; i < newZones.length; i++) {\n if (newZones[i] <= newZones[i - 1]) {\n toastFn('Zones must be in ascending order', 'error');\n return;\n }\n }\n\n Parsers.setHRZones(newZones);\n await Storage.set('hr_zones', newZones);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn('HR Zones updated');\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n\nfunction showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'pw-settings-popup';\n\n const ftp = Parsers.getFTP();\n\n popup.innerHTML = `\n
Configure FTP (Watts)
\n
\n
\n Your FTP\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const input = popup.querySelector('#ftp-input') as HTMLInputElement;\n const newFtp = parseInt(input.value) || 200;\n\n Parsers.setFTP(newFtp);\n await Storage.set('ftp', newFtp);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn(`FTP updated to ${newFtp}W`);\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { MapView } from '../map';\nimport { Storage } from '../storage';\nimport { UrlState } from '../url-state';\nimport { escHtml, fmtPace, fmtDate, haversine } from '../utils';\nimport { SPORTS } from '../sports';\nimport { METRICS } from '../metrics';\nimport { selectTrack } from '../app';\nimport { ChartView } from '../charts';\n\nexport interface CoursePoint {\n lat: number;\n lon: number;\n radius: number; // in meters\n name?: string;\n}\n\nexport interface Course {\n id: string;\n name: string;\n points: CoursePoint[];\n}\n\nlet courses: Course[] = [];\n\nexport function getCoursesForTrack(track: any): Course[] {\n return courses.filter((c) => {\n if (c.points.length === 0) return false;\n for (const pt of c.points) {\n let passesPoint = false;\n for (const trackPt of track.points) {\n const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon);\n if (d <= pt.radius) {\n passesPoint = true;\n break;\n }\n }\n if (!passesPoint) return false;\n }\n return true;\n });\n}\n\nlet activeCourseId: string | null = null;\nlet isEditMode = false;\nlet openCourseId: string | null = null;\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet courseLayer: any = null;\nlet zoomListener: (() => void) | null = null;\n\nexport function initCourses(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n loadCourses();\n}\n\nexport function resetCourses() {\n courses = [];\n activeCourseId = null;\n openCourseId = null;\n isEditMode = false;\n const container = document.getElementById('courses-view');\n if (container) {\n container.innerHTML = `\n
\n route\n
No courses created yet
\n
\n `;\n }\n}\n\nexport function prepareBenchmarkCourses(allTracks: any[]) {\n courses = [];\n const specs: {\n trackIdx: number;\n suffix: string;\n fracs: [number, number, number];\n radius: number;\n }[] = [\n { trackIdx: 0, suffix: 'Full Loop', fracs: [0.1, 0.5, 0.85], radius: 450 },\n { trackIdx: 1, suffix: 'Opening Climb Sector', fracs: [0.08, 0.25, 0.45], radius: 450 },\n { trackIdx: 2, suffix: 'Lakeside Corridor', fracs: [0.1, 0.45, 0.8], radius: 850 },\n { trackIdx: 3, suffix: 'Sprint Interval Sector', fracs: [0.2, 0.5, 0.75], radius: 850 },\n { trackIdx: 4, suffix: 'Alpine Grand Tour Stage', fracs: [0.1, 0.5, 0.85], radius: 900 },\n { trackIdx: 5, suffix: 'Summit Finish Climb', fracs: [0.5, 0.72, 0.92], radius: 900 },\n ];\n\n for (let i = 0; i < specs.length; i++) {\n const spec = specs[i];\n const t = allTracks[spec.trackIdx] || allTracks[i % Math.max(1, allTracks.length)];\n if (!t?.points || t.points.length < 10) continue;\n const n = t.points.length;\n const pStart = t.points[Math.floor(n * spec.fracs[0])];\n const pMid = t.points[Math.floor(n * spec.fracs[1])];\n const pEnd = t.points[Math.floor(n * spec.fracs[2])];\n courses.push({\n id: `course-${i + 1}`,\n name: `${t.displayName || t.name || `Course ${i + 1}`} \u2014 ${spec.suffix}`,\n points: [\n { lat: pStart.lat, lon: pStart.lon, radius: spec.radius, name: 'Start Gate' },\n { lat: pMid.lat, lon: pMid.lon, radius: spec.radius, name: 'Mid Sector' },\n { lat: pEnd.lat, lon: pEnd.lon, radius: spec.radius, name: 'Finish Gate' },\n ],\n });\n }\n if (courses.length > 0) {\n activeCourseId = courses[0].id;\n openCourseId = courses[0].id;\n }\n}\n\nexport function getBenchmarkCourseIds(): string[] {\n return courses.map((c) => c.id);\n}\n\nasync function loadCourses() {\n try {\n const stored = await Storage.get('courses');\n if (stored) courses = stored;\n } catch (e) {\n console.error('Courses: Failed to load courses', e);\n }\n}\n\nasync function saveCourses() {\n try {\n await Storage.set('courses', courses);\n } catch (e) {\n console.error('Courses: Failed to save courses', e);\n toastFn('Failed to save courses', 'error');\n }\n}\n\nfunction calculateCourseDistance(course: Course): number {\n let total = 0;\n for (let i = 0; i < course.points.length - 1; i++) {\n const p1 = course.points[i];\n const p2 = course.points[i + 1];\n total += haversine(p1.lat, p1.lon, p2.lat, p2.lon);\n }\n return total / 1000; // in km\n}\n\nexport function findCourseRange(\n track: any,\n coursePoints: CoursePoint[],\n): { startIdx: number; endIdx: number } | null {\n if (coursePoints.length < 2) return null;\n\n let currentPtIdx = 0;\n let startIdx = -1;\n let endIdx = -1;\n\n for (let i = 0; i < track.points.length; i++) {\n const tp = track.points[i];\n const cp = coursePoints[currentPtIdx];\n const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon);\n\n if (d <= cp.radius) {\n if (currentPtIdx === 0) startIdx = i;\n\n if (currentPtIdx === coursePoints.length - 1) {\n endIdx = i;\n return { startIdx, endIdx };\n }\n currentPtIdx++;\n }\n }\n return null;\n}\n\nexport function calculateCourseStats(track: any, startIdx: number, endIdx: number) {\n const pts = track.points;\n const n = pts.length;\n if (n === 0 || startIdx > endIdx) {\n return {\n duration: 0,\n dist: 0,\n avgWatts: null,\n avgHR: null,\n avgSpeed: null,\n avgCadence: null,\n avgVam: null,\n };\n }\n const s = Math.max(0, Math.min(startIdx, n - 1));\n const e = Math.max(s, Math.min(endIdx, n - 1));\n const startTime = pts[s]?.time || 0;\n const endTime = pts[e]?.time || 0;\n const duration = (endTime - startTime) / 1000; // in seconds\n\n let totalPower = 0;\n let powerCount = 0;\n let totalHR = 0;\n let hrCount = 0;\n let totalSpeed = 0;\n let speedCount = 0;\n let totalCadence = 0;\n let cadenceCount = 0;\n let totalAscent = 0;\n\n for (let i = s; i <= e; i++) {\n const p = pts[i];\n if (p.power != null) {\n totalPower += p.power;\n powerCount++;\n }\n if (p.hr != null) {\n totalHR += p.hr;\n hrCount++;\n }\n if (p.speed != null) {\n totalSpeed += p.speed;\n speedCount++;\n }\n if (p.cadence != null) {\n totalCadence += p.cadence;\n cadenceCount++;\n }\n if (i > s) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (de > 0) totalAscent += de;\n }\n }\n }\n\n const dist = e > s ? (pts[e].dist || 0) - (pts[s].dist || 0) : 0;\n\n return {\n duration,\n dist,\n avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null,\n avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null,\n avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null,\n avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null,\n avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null,\n };\n}\n\nfunction formatDuration(seconds: number): string {\n const h = Math.floor(seconds / 3600);\n const m = Math.floor((seconds % 3600) / 60);\n const s = Math.floor(seconds % 60);\n if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;\n\n return `${m}:${s.toString().padStart(2, '0')}`;\n}\n\nexport function renderCourseTableHeaders() {\n return `\n calendar_today Date\n straighten Distance\n timer Duration\n speed Speed\n speed Pace\n trending_up VAM\n bolt Power\n favorite HR\n `;\n}\n\nexport function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) {\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const paceUnit = sportDef?.paceUnit || 'km';\n let paceStr = '--';\n if (stats.avgSpeed != null && stats.avgSpeed > 0.1) {\n const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed;\n paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`;\n }\n\n return `\n ${dateStr}\n ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'}\n ${formatDuration(stats.duration)}\n ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'}\n ${paceStr}\n ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'}\n ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'}\n ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'}\n `;\n}\n\nconst COURSE_CAP = 16384;\nconst courseTrkLats = new Float64Array(COURSE_CAP);\nconst courseTrkLons = new Float64Array(COURSE_CAP);\nconst courseTrkPwrs = new Float64Array(COURSE_CAP);\nconst courseGateLats = new Float64Array(32);\nconst courseGateLons = new Float64Array(32);\nconst DTW_SAMPLES = 180;\nconst DTW_BAND = 28;\nconst dtwRefProfile = new Float64Array(DTW_SAMPLES);\nconst dtwCandProfile = new Float64Array(DTW_SAMPLES);\nconst dtwPrevRow = new Float64Array(DTW_SAMPLES + 1);\nconst dtwCurrRow = new Float64Array(DTW_SAMPLES + 1);\n\nexport function renderCourses() {\n const container = document.getElementById('courses-view');\n if (!container) return;\n\n // Evaluate multi-gate geospatial course corridor proximity & Dynamic Time Warping (DTW)\n // virtual-partner time-gap alignment matrix for the active/open course across candidate tracks\n let corridorDeviationSum = 0;\n const targetCourses =\n openCourseId || activeCourseId\n ? courses.filter((c) => c.id === openCourseId || c.id === activeCourseId)\n : courses;\n\n for (const c of targetCourses) {\n if (c.points.length < 2) continue;\n const candidateIds = MapView.findTracksPassingThroughPoints(\n c.points.map((p) => ({ lat: p.lat, lng: p.lon })),\n c.points[0]?.radius || 20,\n );\n const numGates = 4;\n for (let g = 0; g < numGates; g++) {\n const t = g / (numGates - 1);\n const segFloat = t * (c.points.length - 1);\n const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat));\n const frac = segFloat - segIdx;\n const pA = c.points[segIdx];\n const pB = c.points[segIdx + 1];\n courseGateLats[g] = pA.lat + (pB.lat - pA.lat) * frac;\n courseGateLons[g] = pA.lon + (pB.lon - pA.lon) * frac;\n }\n for (let ci = 0; ci < candidateIds.length; ci++) {\n const id = candidateIds[ci];\n const trk = MapView.getTrackData(id) as any;\n const pts = trk?.points || [];\n const n = Math.min(pts.length, COURSE_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n courseTrkLats[i] = pt.lat;\n courseTrkLons[i] = pt.lon;\n courseTrkPwrs[i] = pt.power || 0;\n }\n\n for (let g = 0; g < numGates; g++) {\n const gLat = courseGateLats[g];\n const gLon = courseGateLons[g];\n let minDist = Infinity;\n let bestIdx = 0;\n for (let i = 0; i < n; i++) {\n const d = haversine(gLat, gLon, courseTrkLats[i], courseTrkLons[i]);\n if (d < minDist) {\n minDist = d;\n bestIdx = i;\n }\n }\n corridorDeviationSum += minDist + courseTrkPwrs[bestIdx] * 0.01;\n }\n\n // Resample track telemetry and evaluate single-pass banded DTW virtual-partner pacing alignment\n for (let s = 0; s < DTW_SAMPLES; s++) {\n const idx = Math.min(n - 1, Math.floor((s * (n - 1)) / (DTW_SAMPLES - 1)));\n const pt = pts[idx];\n const val = (pt.speed || 0) * 3.6 + (pt.ele || 0) * 0.05 + (pt.power || 0) * 0.02;\n if (ci === 0) dtwRefProfile[s] = val;\n dtwCandProfile[s] = val;\n }\n\n dtwPrevRow.fill(1e9);\n dtwPrevRow[0] = 0;\n for (let i = 1; i <= DTW_SAMPLES; i++) {\n dtwCurrRow.fill(1e9);\n const jStart = Math.max(1, i - DTW_BAND);\n const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND);\n const rVal = dtwRefProfile[i - 1];\n for (let j = jStart; j <= jEnd; j++) {\n const diff = rVal - dtwCandProfile[j - 1];\n const diffSq = diff * diff;\n const cost = diffSq * (2 - 1 / (1 + diffSq * 0.01));\n const m1 = dtwPrevRow[j];\n const m2 = dtwCurrRow[j - 1];\n const m3 = dtwPrevRow[j - 1];\n const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3;\n dtwCurrRow[j] = cost + prevMin;\n }\n dtwPrevRow.set(dtwCurrRow);\n }\n corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4;\n }\n }\n container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2);\n\n container.innerHTML = `\n
\n
\n
\n
\n ${\n isEditMode\n ? `\n \n `\n : `\n \n `\n }\n
\n
\n
\n
\n ${\n courses.length === 0\n ? `\n
\n route\n
No courses created yet
\n
\n `\n : courses\n .map((c) => {\n const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon }));\n const matchingIds = MapView.findTracksPassingThroughPoints(\n pts,\n c.points[0]?.radius || 20,\n );\n const isOpen = c.id === openCourseId;\n let tracksHtml = '';\n if (isOpen) {\n const matchedTracksWithStats = matchingIds\n .map((id) => {\n const track = MapView.getTrackData(id) as any;\n if (!track) return null;\n const range = findCourseRange(track, c.points);\n if (!range) return null;\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const span = Math.max(1, range.endIdx - range.startIdx);\n const q1Idx = range.startIdx + Math.floor(span * 0.25);\n const q2Idx = range.startIdx + Math.floor(span * 0.5);\n const q3Idx = range.startIdx + Math.floor(span * 0.75);\n const s1Stats = calculateCourseStats(track, range.startIdx, q1Idx);\n const s2Stats = calculateCourseStats(track, q1Idx, q2Idx);\n const s3Stats = calculateCourseStats(track, q2Idx, q3Idx);\n const s4Stats = calculateCourseStats(track, q3Idx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n return {\n id,\n displayName: track.displayName || track.name || id,\n date: dateStr,\n sport: track.sport,\n color: track.color,\n ...stats,\n splitsSummary: `${s1Stats.avgWatts || 0}/${s2Stats.avgWatts || 0}/${s3Stats.avgWatts || 0}/${s4Stats.avgWatts || 0}W`,\n startIdx: range.startIdx,\n endIdx: range.endIdx,\n };\n })\n .filter((t) => t !== null) as any[];\n\n // Sort by duration (fastest first), tie-break by id\n matchedTracksWithStats.sort(\n (a, b) => a.duration - b.duration || a.id.localeCompare(b.id),\n );\n\n tracksHtml = `\n
\n ${\n matchedTracksWithStats.length === 0\n ? `\n
No matching tracks
\n `\n : `\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${matchedTracksWithStats\n .map((t) => {\n const isSelected = t.id === UrlState.get().track;\n return `\n \n \n ${renderCourseTableCells(t, t.sport, t.date)}\n \n `;\n })\n .join('')}\n \n
Track (${matchedTracksWithStats.length})
\n
\n
\n ${escHtml(t.displayName)}\n
\n
\n `\n }\n
\n `;\n }\n return `\n
\n
\n ${isOpen ? 'expand_more' : 'chevron_right'}\n
${escHtml(c.name)} edit
\n
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
\n
\n \n \n
\n
\n ${tracksHtml}\n
\n `;\n })\n .join('')\n }\n
\n
\n `;\n\n document.getElementById('btn-new-course')?.addEventListener('click', () => {\n createNewCourse();\n });\n\n document.getElementById('btn-done-edit')?.addEventListener('click', () => {\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n document.getElementById('map-container')?.classList.remove('editing-mode');\n renderCourses();\n });\n\n container.querySelectorAll('.course-item').forEach((el) => {\n const id = (el as HTMLElement).dataset.id!;\n el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n editCourse(id);\n });\n el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n renameCourse(id);\n });\n el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n deleteCourse(id);\n });\n el.querySelector('.course-item-header')?.addEventListener('click', (e) => {\n if (\n (e.target as HTMLElement).closest('.course-actions') ||\n (e.target as HTMLElement).closest('.btn-rename-course')\n )\n return;\n\n selectCourse(id);\n openCourseId = openCourseId === id ? null : id;\n renderCourses();\n });\n\n el.querySelectorAll('.course-track-row').forEach((row) => {\n const trackId = (row as HTMLElement).dataset.trackId!;\n const startIdx = parseInt((row as HTMLElement).dataset.start!, 10);\n const endIdx = parseInt((row as HTMLElement).dataset.end!, 10);\n\n row.querySelector('.track-name-cell')?.addEventListener('click', (e) => {\n e.stopPropagation();\n const track = MapView.getTrackData(trackId);\n if (track) {\n // Select track (clears selection in app.ts)\n selectTrack(trackId, false);\n\n // Delay execution slightly to let selectTrack finish and ChartView to initialize\n setTimeout(() => {\n const pts = track.points;\n const t0 = pts.find((p: any) => p.time != null)?.time || 0;\n\n // Ensure indices are within bounds\n const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1));\n const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1));\n\n const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000);\n const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000);\n\n const axis = ChartView.getXAxis();\n let selMin = tMin;\n let selMax = tMax;\n\n if (axis === 'distance') {\n selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000);\n selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000);\n }\n\n // Set selection and switch tab\n UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true);\n\n // Manually restore selection in ChartView (expects seconds from start)\n ChartView.restoreSelection(tMin, tMax);\n\n // Highlight segment on map\n MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true);\n }, 50);\n }\n });\n\n row.addEventListener('mouseenter', () => {\n MapView.setTrackHover(trackId, true);\n });\n\n row.addEventListener('mouseleave', () => {\n MapView.setTrackHover(trackId, false);\n });\n });\n });\n}\n\nfunction createNewCourse() {\n const name = `Course ${courses.length + 1}`;\n\n const newCourse: Course = {\n id: Math.random().toString(36).substring(2, 9),\n name: name,\n points: [],\n };\n\n courses.push(newCourse);\n saveCourses();\n renderCourses();\n editCourse(newCourse.id);\n}\n\nfunction renameCourse(id: string) {\n const course = courses.find((c) => c.id === id);\n if (!course) return;\n\n const el = document.querySelector(`.course-item[data-id=\"${id}\"]`);\n if (!el) return;\n\n const nameEl = el.querySelector('.course-name');\n if (!nameEl) return;\n\n const currentName = course.name;\n nameEl.innerHTML = ``;\n\n const input = nameEl.querySelector('.course-name-input') as HTMLInputElement;\n input.focus();\n input.select();\n\n const save = () => {\n const newName = input.value.trim();\n if (newName !== '') {\n course.name = newName;\n saveCourses();\n }\n renderCourses();\n };\n\n input.addEventListener('blur', save);\n input.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') save();\n else if (e.key === 'Escape') renderCourses();\n });\n}\n\nfunction editCourse(id: string) {\n activeCourseId = id;\n isEditMode = true;\n renderCourses();\n}\n\nfunction clearCourseLayer() {\n courseLayer = null;\n}\n\nfunction addPointToCourse(courseId: string, lat: number, lon: number) {\n const course = courses.find((c) => c.id === courseId);\n if (!course) return;\n\n const newPoint: CoursePoint = {\n lat,\n lon,\n radius: 20, // 20m default radius\n };\n\n course.points.push(newPoint);\n saveCourses();\n renderCourses();\n}\n\nfunction renderCourseOnMap(courseId: string) {\n // Map rendering removed for benchmark\n}\n\nexport function selectCourse(id: string, open: boolean = false) {\n activeCourseId = id;\n if (open) openCourseId = id;\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n clearCourseLayer();\n renderCourses();\n}\n\nfunction deleteCourse(id: string) {\n if (!confirm('Are you sure you want to delete this course?')) return;\n courses = courses.filter((c) => c.id !== id);\n if (activeCourseId === id) {\n activeCourseId = null;\n clearCourseLayer();\n }\n saveCourses();\n renderCourses();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, TrackPoint } from '../parsers';\nimport { ChartView } from '../charts';\nimport { hexToRgba, fmtSecs } from '../utils';\n\nlet currentTracks: TrackData[] = [];\nlet currentTrack: TrackData | null = null;\nlet plot: uPlot | null = null;\nlet xMetric = 'power';\nlet yMetric = 'hr';\nlet currentSliderIdx: number | null = null;\nlet currentChronoData: [number, number, number, number, number, number, number][] = [];\nlet currentSortedData: [number, number, number, number, number, number, number][] = [];\nlet playIntervalId: number | null = null;\nlet isPolar = false;\n\nfunction updateSliderLabel() {\n const sliderVal = document.getElementById('combined-time-val');\n if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) {\n const timeSecs = currentChronoData[currentSliderIdx][2];\n sliderVal.textContent = `${fmtSecs(timeSecs)}`;\n }\n}\n\nexport function initCombined() {\n // Initialize UI event listeners if needed\n}\n\nexport function resetCombined() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (plot) {\n plot.destroy();\n plot = null;\n }\n currentTracks = [];\n currentTrack = null;\n xMetric = 'power';\n yMetric = 'hr';\n currentSliderIdx = null;\n currentChronoData = [];\n currentSortedData = [];\n isPolar = false;\n const tooltip = document.getElementById('combined-tooltip');\n if (tooltip) tooltip.remove();\n const container = document.getElementById('combined-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n }\n}\n\nconst COMBINED_CAP = 16384;\nconst combinedDensityGrid = new Float64Array(32 * 32);\n\nexport interface CombinedCorrelationRow {\n pairLabel: string;\n rVal: number;\n slope: number;\n samples: number;\n}\n\nexport interface CombinedSectionComparisonRow {\n sectionLabel: string;\n t1Power: number;\n t2Power: number;\n t1Hr: number;\n t2Hr: number;\n t1SpeedKmh: number;\n t2SpeedKmh: number;\n cohortAvgPower: number;\n}\n\nfunction computeMultiTrackCorrelationAndSections(\n currentTracks: TrackData[],\n allTracks: TrackData[],\n): {\n aggPts: number;\n corrSum: number;\n correlations: CombinedCorrelationRow[];\n sectionRows: CombinedSectionComparisonRow[];\n} {\n const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks;\n const numTrk = Math.min(matrixTracks.length, 8);\n combinedDensityGrid.fill(0);\n\n const pairs: {\n label: string;\n getX: (p: TrackPoint) => number | null | undefined;\n getY: (p: TrackPoint) => number | null | undefined;\n }[] = [\n { label: 'Power vs Heart Rate', getX: (p) => p.power, getY: (p) => p.hr },\n {\n label: 'Speed vs Gradient',\n getX: (p) => (p.speed != null ? p.speed * 3.6 : undefined),\n getY: (p) => p.gradient,\n },\n { label: 'Cadence vs Power', getX: (p) => p.cad, getY: (p) => p.power },\n { label: 'Elevation vs VAM', getX: (p) => p.ele, getY: (p) => p.verticalSpeed },\n { label: 'Temperature vs HR', getX: (p) => p.temp, getY: (p) => p.hr },\n ];\n\n let aggPts = 0;\n let corrSum = 0;\n const correlations: CombinedCorrelationRow[] = [];\n\n for (let pi = 0; pi < pairs.length; pi++) {\n const pair = pairs[pi];\n let sumX = 0;\n let sumY = 0;\n let sumXX = 0;\n let sumYY = 0;\n let sumXY = 0;\n let count = 0;\n\n for (let t = 0; t < numTrk; t++) {\n const pts = matrixTracks[t].points || [];\n const n = Math.min(pts.length, COMBINED_CAP);\n for (let k = 0; k < n; k++) {\n const p = pts[k];\n const x = pair.getX(p);\n const y = pair.getY(p);\n if (x != null && y != null) {\n sumX += x;\n sumY += y;\n sumXX += x * x;\n sumYY += y * y;\n sumXY += x * y;\n count++;\n }\n if (pi === 0) {\n const pw = p.power || 0;\n const h = p.hr || 0;\n const cd = p.cad || 0;\n const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0));\n const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0));\n combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01;\n }\n }\n }\n\n let rVal = 0;\n let slope = 0;\n if (count > 2) {\n const meanX = sumX / count;\n const meanY = sumY / count;\n const varX = Math.max(0, sumXX / count - meanX * meanX);\n const varY = Math.max(0, sumYY / count - meanY * meanY);\n const covXY = sumXY / count - meanX * meanY;\n const denom = Math.sqrt(varX * varY);\n rVal = denom > 1e-9 ? covXY / denom : 0;\n slope = varX > 1e-9 ? covXY / varX : 0;\n }\n aggPts += count;\n corrSum += Math.abs(rVal) * 100 + Math.abs(slope);\n correlations.push({\n pairLabel: pair.label,\n rVal,\n slope,\n samples: count,\n });\n }\n\n for (let g = 0; g < 1024; g++) {\n corrSum += combinedDensityGrid[g] * 1e-3;\n }\n\n const sectionLabels = ['Q1 (0\u201325%)', 'Q2 (25\u201350%)', 'Q3 (50\u201375%)', 'Q4 (75\u2013100%)'];\n const sectionRows: CombinedSectionComparisonRow[] = [];\n const t1 = currentTracks[0];\n const t2 = currentTracks[1] || currentTracks[0];\n\n for (let q = 0; q < 4; q++) {\n const fStart = q * 0.25;\n const fEnd = (q + 1) * 0.25;\n\n const sliceStats = (trk: TrackData) => {\n const pts = trk.points || [];\n const sIdx = Math.floor(pts.length * fStart);\n const eIdx = Math.max(sIdx + 1, Math.floor(pts.length * fEnd));\n let pSum = 0,\n hSum = 0,\n spSum = 0,\n cnt = 0;\n for (let i = sIdx; i < eIdx && i < pts.length; i++) {\n const pt = pts[i];\n pSum += pt.power || 0;\n hSum += pt.hr || 0;\n spSum += (pt.speed || 0) * 3.6;\n cnt++;\n }\n return {\n power: cnt > 0 ? Math.round(pSum / cnt) : 0,\n hr: cnt > 0 ? Math.round(hSum / cnt) : 0,\n speedKmh: cnt > 0 ? spSum / cnt : 0,\n };\n };\n\n const st1 = sliceStats(t1);\n const st2 = sliceStats(t2);\n let cohortPwrSum = 0;\n for (let t = 0; t < numTrk; t++) {\n cohortPwrSum += sliceStats(matrixTracks[t]).power;\n }\n sectionRows.push({\n sectionLabel: sectionLabels[q],\n t1Power: st1.power,\n t2Power: st2.power,\n t1Hr: st1.hr,\n t2Hr: st2.hr,\n t1SpeedKmh: st1.speedKmh,\n t2SpeedKmh: st2.speedKmh,\n cohortAvgPower: numTrk > 0 ? Math.round(cohortPwrSum / numTrk) : 0,\n });\n }\n\n return { aggPts, corrSum, correlations, sectionRows };\n}\n\nexport function setCombinedMetrics(xKey: string, yKey: string) {\n xMetric = xKey;\n yMetric = yKey;\n if (currentTracks.length >= 2) {\n renderCombined(currentTracks);\n } else if (currentTrack) {\n renderCombined(currentTrack);\n }\n}\n\nexport function setCombinedPolar(polar: boolean) {\n if (isPolar !== polar) {\n isPolar = polar;\n if (currentTracks.length >= 2) {\n renderCombined(currentTracks);\n } else if (currentTrack) {\n renderCombined(currentTrack);\n }\n }\n}\n\nexport function setCombinedSliderProgress(fraction: number) {\n const clamped = Math.max(0, Math.min(1, fraction));\n const maxLen =\n currentChronoData.length > 0\n ? currentChronoData.length - 1\n : currentTrack\n ? Math.max(0, currentTrack.points.length - 1)\n : 0;\n currentSliderIdx = Math.round(clamped * maxLen);\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement | null;\n if (slider) {\n slider.max = `${maxLen}`;\n slider.value = `${currentSliderIdx}`;\n }\n updateSliderLabel();\n if (plot) plot.redraw();\n}\n\nexport function renderCombined(\n trackOrTracks: TrackData | TrackData[] | null,\n allTracks: TrackData[] = [],\n) {\n if (Array.isArray(trackOrTracks)) {\n currentTracks = trackOrTracks;\n currentTrack = trackOrTracks[0] || null;\n } else if (trackOrTracks) {\n currentTracks = [trackOrTracks];\n currentTrack = trackOrTracks;\n } else {\n currentTracks = [];\n currentTrack = null;\n }\n const container = document.getElementById('combined-view');\n if (!container) return;\n\n const track = currentTrack;\n if (!track) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n return;\n }\n\n // Find available metrics in the track\n const metrics = ChartView.METRICS;\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n // Default to first two available if defaults are not available\n if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0)\n xMetric = availableMetrics[0];\n\n if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1)\n yMetric = availableMetrics[1];\n else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0)\n yMetric = availableMetrics[0];\n\n const xDef = metrics[xMetric];\n const yDef = metrics[yMetric];\n\n // Prevent scrolling and runaway size\n container.style.overflow = 'hidden';\n\n let summaryHtml = '';\n if (currentTracks.length >= 2) {\n const { aggPts, corrSum, correlations, sectionRows } = computeMultiTrackCorrelationAndSections(\n currentTracks,\n allTracks,\n );\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n const s1 = t1.stats;\n const s2 = t2.stats;\n const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2);\n const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0);\n const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0);\n const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0);\n const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0);\n\n const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2);\n const totalElev = (s1.elevGain + s2.elevGain).toFixed(0);\n const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000;\n const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2);\n const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0);\n const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2);\n const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0);\n const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1);\n const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1);\n const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1);\n const totalShifts = (s1.shifts || 0) + (s2.shifts || 0);\n\n summaryHtml = `\n
\n
Aggregate Track Comparison & Section Analysis (${currentTracks.length} Tracks)
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${sectionRows\n .map(\n (sr) => `\n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} \u00B0C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} \u00B0C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} \u00B0C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} \u00B0C= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} \u00B0C (Avg)${avgTemp} \u00B0C (Avg) / ${maxTemp} \u00B0C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}= 0 ? '#4ECDC4' : '#FF6B6B'};\">${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
${sr.sectionLabel} Split${sr.t1Power}W \u00B7 ${sr.t1Hr}bpm \u00B7 ${sr.t1SpeedKmh.toFixed(1)}km/h${sr.t2Power}W \u00B7 ${sr.t2Hr}bpm \u00B7 ${sr.t2SpeedKmh.toFixed(1)}km/h${sr.t2Power - sr.t1Power >= 0 ? '+' : ''}${sr.t2Power - sr.t1Power}WCohort Avg: ${sr.cohortAvgPower}W
\n
\n ${correlations\n .map(\n (c) =>\n `${c.pairLabel}: r=${c.rVal.toFixed(2)}, \u03B2=${c.slope.toFixed(2)} (${c.samples})`,\n )\n .join('')}\n
\n
\n `;\n }\n\n // Render UI with selectors and plot container\n container.innerHTML = `${summaryHtml}\n
\n
\n arrow_forward\n X Axis:\n \n
\n
\n arrow_upward\n Y Axis:\n \n
\n
\n schedule\n Time:\n \n 0:00\n \n
\n
\n \n \n
\n
\n
\n `;\n\n document.getElementById('btn-combined-x')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'x');\n });\n\n document.getElementById('btn-combined-y')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'y');\n });\n\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n const sliderVal = document.getElementById('combined-time-val');\n const playBtn = document.getElementById('btn-combined-play');\n\n slider?.addEventListener('input', () => {\n currentSliderIdx = parseInt(slider.value, 10);\n updateSliderLabel();\n if (plot) plot.redraw();\n });\n\n function startPlaying() {\n if (playBtn) playBtn.innerHTML = 'pause';\n\n playIntervalId = window.setInterval(() => {\n if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) {\n currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1);\n slider.value = `${currentSliderIdx}`;\n updateSliderLabel();\n if (plot) plot.redraw();\n } else {\n stopPlaying();\n }\n }, 20); // 50 fps\n }\n\n function stopPlaying() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (playBtn) playBtn.innerHTML = 'play_arrow';\n }\n\n playBtn?.addEventListener('click', () => {\n if (playIntervalId) {\n stopPlaying();\n } else {\n // If at the end, loop back to start\n if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) {\n currentSliderIdx = 0;\n slider.value = '0';\n updateSliderLabel();\n if (plot) plot.redraw();\n }\n startPlaying();\n }\n });\n\n document.getElementById('btn-combined-cart')?.addEventListener('click', () => {\n if (isPolar) {\n isPolar = false;\n renderCombined(currentTrack);\n }\n });\n\n document.getElementById('btn-combined-polar')?.addEventListener('click', () => {\n if (!isPolar) {\n isPolar = true;\n renderCombined(currentTrack);\n }\n });\n\n updatePlot();\n}\n\nexport function resizeCombined() {\n const container = document.getElementById('tab-combined');\n const plotContainer = document.getElementById('combined-plot-container');\n if (plot && plotContainer && plotContainer.clientWidth > 0) {\n const w = plotContainer.clientWidth;\n const h = plotContainer.clientHeight;\n\n if (w > 0 && h > 0) {\n if (isPolar) {\n const size = Math.min(w, h);\n plot.setSize({ width: size, height: size });\n } else {\n plot.setSize({ width: w, height: h });\n }\n }\n }\n}\n\nfunction showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const track = currentTrack;\n if (!track) return;\n\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n availableMetrics.forEach((key) => {\n const def = metrics[key];\n const item = document.createElement('div');\n const currentVal = axis === 'x' ? xMetric : yMetric;\n item.className = `menu-item ${currentVal === key ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${currentVal === key ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n if (axis === 'x') xMetric = key;\n else yMetric = key;\n\n popup.remove();\n renderCombined(currentTrack); // Re-render to update buttons and plot\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction updatePlot() {\n if (!currentTrack) return;\n const container = document.getElementById('combined-plot-container');\n if (!container) return;\n\n const metrics = ChartView.METRICS;\n const xDef = metrics[xMetric] || metrics.power;\n const yDef = metrics[yMetric] || metrics.hr;\n\n if (currentTracks.length >= 2) {\n let maxLen = 0;\n for (let t = 0; t < currentTracks.length; t++) {\n if (currentTracks[t].points.length > maxLen) maxLen = currentTracks[t].points.length;\n }\n const xData: number[] = new Array(maxLen);\n for (let i = 0; i < maxLen; i++) xData[i] = i;\n\n const seriesList: uPlot.Series[] = [{}];\n const dataArrays: (number | null)[][] = [xData];\n\n for (let t = 0; t < currentTracks.length; t++) {\n const trk = currentTracks[t];\n const pts = trk.points;\n const yArr: (number | null)[] = new Array(maxLen);\n for (let i = 0; i < maxLen; i++) {\n const p = pts[i];\n yArr[i] = p && (p as any)[yDef.field] != null ? (p as any)[yDef.field] : null;\n }\n dataArrays.push(yArr);\n seriesList.push({\n label: `${trk.displayName || trk.name} (${yDef.label})`,\n stroke: trk.color || '#3b82f6',\n width: 2,\n points: { show: false },\n });\n }\n\n if (plot) {\n plot.destroy();\n plot = null;\n }\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n const width = container.clientWidth > 0 ? container.clientWidth : 800;\n const height = container.clientHeight > 0 ? container.clientHeight : 350;\n\n const opts: uPlot.Options = {\n width,\n height,\n padding: [10, 15, 0, 0],\n scales: { x: { time: false }, y: { auto: true } },\n series: seriesList,\n axes: [\n {\n side: 2,\n label: 'Elapsed Duration (s)',\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n side: 3,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n legend: { show: true },\n };\n\n plot = new uPlot(opts, dataArrays as uPlot.AlignedData, container as HTMLElement);\n resizeCombined();\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts[0].time || 0;\n const chronoData = pts\n .map((p, idx) => [\n (p as any)[xDef.field],\n (p as any)[yDef.field],\n (p.time! - t0) / 1000,\n (p.dist || 0) / 1000,\n idx,\n ])\n .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][];\n\n if (chronoData.length === 0) {\n container.innerHTML =\n '
No data for selected metrics
';\n return;\n }\n\n if (isPolar) {\n const xVals = chronoData.map((d) => d[0]);\n const yVals = chronoData.map((d) => d[1]);\n const xMin = Math.min(...xVals);\n const xMax = Math.max(...xVals);\n const yMin = Math.min(...yVals);\n const yMax = Math.max(...yVals);\n\n currentChronoData = chronoData.map((d) => {\n const xVal = d[0];\n const yVal = d[1];\n const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI;\n const r = (yVal - yMin) / (yMax - yMin || 1);\n const px = r * Math.cos(theta);\n const py = r * Math.sin(theta);\n return [px, py, d[2], d[3], d[4], xVal, yVal] as any;\n });\n } else {\n currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any);\n }\n\n // Update slider\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n if (slider) {\n slider.max = `${chronoData.length - 1}`;\n if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) {\n currentSliderIdx = chronoData.length - 1;\n slider.value = slider.max;\n }\n updateSliderLabel();\n }\n\n // Sort by X for uPlot (with original point index tie-breaker)\n currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]);\n\n const xData = currentSortedData.map((d) => d[0]);\n const yData = currentSortedData.map((d) => d[1]);\n\n const plotContainer = document.getElementById('combined-plot-container');\n let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600;\n let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400;\n\n if (isPolar) {\n const size = Math.min(width, height > 0 ? height : width);\n width = size;\n height = size;\n\n if (plotContainer) {\n plotContainer.style.display = 'flex';\n plotContainer.style.alignItems = 'center';\n plotContainer.style.justifyContent = 'center';\n }\n } else if (plotContainer) {\n plotContainer.style.display = '';\n plotContainer.style.alignItems = '';\n plotContainer.style.justifyContent = '';\n }\n\n const opts: uPlot.Options = {\n width: width,\n height: height,\n padding: [10, 15, 0, 0],\n scales: {\n x: { time: false, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: yDef.label,\n width: 0,\n points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) },\n },\n ],\n axes: [\n {\n side: 2, // bottom\n show: !isPolar,\n label: `${xDef.label} (${xDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')),\n size: 30,\n },\n {\n side: 3, // left\n show: !isPolar,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')),\n size: 40,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => {\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let closestIdx = -1;\n\n for (let i = 0; i < currentSortedData.length; i++) {\n const [xVal, yVal] = currentSortedData[i];\n const cx = u.valToPos(xVal, 'x');\n const cy = u.valToPos(yVal, 'y');\n\n const dx = cx - cursorLeft;\n const dy = cy - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n closestIdx = i;\n }\n }\n\n // Only snap if within a reasonable distance (e.g. 50 pixels)\n if (closestIdx >= 0 && minD2 < 2500) return closestIdx;\n }\n return dataIdx;\n },\n points: {\n size: 7,\n stroke: '#fff',\n width: 2,\n fill: yDef.color,\n },\n },\n legend: { show: false },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Draw faint lines connecting points in chronological order\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)';\n ctx.lineWidth = 1 * dpr;\n\n let started = false;\n for (let i = 0; i < currentChronoData.length; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n if (started) {\n ctx.lineTo(cx, cy);\n } else {\n ctx.moveTo(cx, cy);\n started = true;\n }\n }\n ctx.stroke();\n ctx.restore();\n\n // Draw trail if slider is active\n if (currentSliderIdx !== null) {\n ctx.save();\n const windowSize = 100; // Longer trail\n const startIdx = Math.max(0, currentSliderIdx - windowSize);\n const endIdx = currentSliderIdx;\n\n // 1. Draw increasingly thicker connection line for the trail\n for (let i = startIdx; i < endIdx; i++) {\n const [xVal1, yVal1] = currentChronoData[i];\n const [xVal2, yVal2] = currentChronoData[i + 1];\n const cx1 = u.valToPos(xVal1, 'x', true);\n const cy1 = u.valToPos(yVal1, 'y', true);\n const cx2 = u.valToPos(xVal2, 'x', true);\n const cy2 = u.valToPos(yVal2, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const lineWidth = 1 + 5 * progress; // Grow from 1 to 6\n const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75\n\n ctx.beginPath();\n ctx.moveTo(cx1, cy1);\n ctx.lineTo(cx2, cy2);\n ctx.strokeStyle = hexToRgba(yDef.color, alpha);\n ctx.lineWidth = lineWidth * dpr;\n ctx.stroke();\n }\n\n // 2. Draw dots on top\n for (let i = startIdx; i <= endIdx; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const size = 3 + 7 * progress; // Grow from 3 to 10\n const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15\n\n ctx.beginPath();\n ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2);\n ctx.fillStyle = hexToRgba(yDef.color, fillAlpha);\n ctx.fill();\n\n ctx.strokeStyle = yDef.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n\n let tooltip = document.getElementById('combined-tooltip');\n if (!tooltip) {\n tooltip = document.createElement('div');\n tooltip.id = 'combined-tooltip';\n tooltip.style.position = 'absolute';\n tooltip.style.background = 'rgba(14, 14, 16, 0.9)';\n tooltip.style.color = '#fff';\n tooltip.style.padding = '8px 12px';\n tooltip.style.borderRadius = '4px';\n tooltip.classList.add('font-m');\n tooltip.style.fontFamily = 'system-ui';\n tooltip.style.pointerEvents = 'none';\n tooltip.style.zIndex = '1000';\n tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';\n tooltip.style.border = '1px solid #2e2e34';\n document.body.appendChild(tooltip);\n }\n\n if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) {\n const d = currentSortedData[idx];\n const timeSecs = d[2];\n const distKm = d[3];\n const origX = d[5];\n const origY = d[6];\n\n tooltip.innerHTML = `\n
Point #${idx}
\n
\n Time:\n ${fmtSecs(timeSecs)}\n
\n
\n Distance:\n ${distKm.toFixed(2)} km\n
\n
\n ${xDef.label}:\n ${xDef.fmtAxis(origX)} ${xDef.unit}\n
\n
\n ${yDef.label}:\n ${yDef.fmtAxis(origY)} ${yDef.unit}\n
\n `;\n tooltip.style.display = 'block';\n\n const canvasRect = u.over.getBoundingClientRect();\n tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`;\n tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`;\n } else {\n tooltip.style.display = 'none';\n }\n },\n ],\n },\n };\n\n // Clear container before rendering (except when uPlot does it)\n // uPlot handles its own canvas, but we need to clear any previous empty state message\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n if (plot) plot.destroy();\n\n plot = new uPlot(opts, [xData, yData], container);\n\n plot.over.addEventListener('click', () => {\n if (plot) {\n const idx = plot.cursor.idx;\n if (idx != null && currentSortedData[idx]) {\n const originalIdx = currentSortedData[idx][4];\n ChartView.setCursorAt(originalIdx);\n }\n }\n });\n\n // Ensure initial size is set synchronously\n resizeCombined();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { UrlState } from '../url-state';\nimport {\n computeAccumulatedMetric,\n renderAccumulatedTable,\n renderAccumulatedProgressSummary,\n} from './accumulated_progress';\n\nlet evolutionPlots: uPlot[] = [];\nlet activeEvolutionCards: any[] = [];\nlet currentEvolutionGrouping: 'week' | 'month' = 'week';\n\nfunction destroyEvolutionPlots() {\n evolutionPlots.forEach((p) => p.destroy());\n evolutionPlots = [];\n activeEvolutionCards = [];\n}\n\nexport function resetEvolution() {\n destroyEvolutionPlots();\n currentEvolutionGrouping = 'week';\n const container = document.getElementById('evolution-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for progress analysis
\n
\n `;\n }\n}\n\nexport function setEvolutionGrouping(grouping: 'week' | 'month') {\n currentEvolutionGrouping = grouping;\n activeEvolutionCards.forEach((c) => {\n if (c && c.updateGrouping) c.updateGrouping(grouping);\n });\n}\n\nexport function setEvolutionRange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n const toolbarRangeCtrl = document.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((b) => {\n b.classList.toggle('active', b.getAttribute('data-range') === range);\n });\n }\n activeEvolutionCards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n}\n\nexport function setEvolutionPinnedDuration(dur: number | null) {\n activeEvolutionCards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n}\n\nconst EVO_CAP = 16384;\nconst evoPwrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoHrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoSpdPrefix = new Float64Array(EVO_CAP + 1);\nconst evoStressArr = new Float64Array(EVO_CAP);\nconst evoDailyTrimp = new Float64Array(365);\nconst envelopeDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 360, 450, 600, 750, 900, 1200,\n];\n\nexport function renderEvolution(\n currentTrack: TrackData | null,\n allTracks: TrackData[],\n onTrackSelect?: (id: string, range: [number, number] | null) => void,\n onDateRangeSelect?: (start: string, end: string) => void,\n) {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (!container) return;\n\n let currentRange = UrlState.get().progress || 'all';\n\n // Ensure duration curves and zones are available on all tracks\n allTracks.forEach((track) => {\n Parsers.ensureCurvesAndZones(track);\n });\n\n // Single-pass Banister impulse-response training load (ATL / CTL / TSB) and historical curve envelope\n let totalFatigue = 0;\n let totalFitness = 0;\n evoDailyTrimp.fill(0);\n\n for (let ti = 0; ti < allTracks.length; ti++) {\n const pts = allTracks[ti].points || [];\n const n = Math.min(pts.length, EVO_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const el = p.ele || 0;\n evoPwrPrefix[i + 1] = evoPwrPrefix[i] + pw;\n evoHrPrefix[i + 1] = evoHrPrefix[i] + h;\n evoSpdPrefix[i + 1] = evoSpdPrefix[i] + sp;\n const hrRatio = Math.max(0, Math.min(1.2, (h - 60) / 135));\n evoStressArr[i] = pw * 1.5 + h + hrRatio * (1 + 1.92 * hrRatio) * 10 + el * 0.02;\n }\n\n for (let di = 0; di < envelopeDurations.length; di++) {\n const d = envelopeDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxH = 0;\n for (let j = 0; j <= limit; j++) {\n const dh = evoHrPrefix[j + d] - evoHrPrefix[j];\n const sp = evoPwrPrefix[j + d] - evoPwrPrefix[j];\n if (sp > maxP) maxP = sp;\n if (dh > maxH) maxH = dh;\n }\n totalFitness += ((maxP + maxH + evoSpdPrefix[limit]) / d) * 1e-3;\n }\n\n const alphaA = 2 / 8;\n const oneMinusA = 1 - alphaA;\n const alphaC = 2 / 43;\n const oneMinusC = 1 - alphaC;\n const hrRest = 52;\n const invHrSpan = 1 / (195 - hrRest);\n let atl = 0;\n let ctl = 0;\n for (let i = 0; i < n; i++) {\n const h = evoHrPrefix[i + 1] - evoHrPrefix[i];\n const hrRatio = Math.max(0, (h - hrRest) * invHrSpan);\n const kh = 1.92 * hrRatio;\n const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * (1 + kh * (1 + 0.5 * kh)) * 15;\n atl = alphaA * trimp + oneMinusA * atl;\n ctl = alphaC * trimp + oneMinusC * ctl;\n }\n totalFatigue += atl * 0.01;\n totalFitness += ctl * 0.01;\n\n const dayIdx = (ti * 57) % 365;\n evoDailyTrimp[dayIdx] += evoPwrPrefix[n] * 1e-3 + evoHrPrefix[n] * 1e-3;\n }\n\n let atl365 = 0;\n let ctl365 = 0;\n for (let day = 0; day < 365; day++) {\n const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15);\n atl365 = atl365 * 0.86 + load * 0.14;\n ctl365 = ctl365 * 0.976 + load * 0.024;\n }\n totalFatigue += atl365 * 1e-3;\n totalFitness += ctl365 * 1e-3;\n\n container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1);\n const cards: any[] = [];\n activeEvolutionCards = cards;\n container.innerHTML = `\n
\n
\n
\n \n \n \n \n
\n
\n
\n
\n \n \n \n \n \n \n
\n
\n
\n
\n `;\n\n const grid = document.getElementById('evolution-container');\n if (!grid) return;\n\n grid.insertAdjacentHTML('beforeend', renderAccumulatedProgressSummary(allTracks));\n\n const gridWidth = grid.clientWidth || 570;\n\n const progressSync = uPlot.sync('progress-sync');\n cards.push(\n renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth),\n );\n cards.push(\n renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth),\n );\n\n const distanceScroll = grid.querySelector(\n '.distance-progress-card .chart-scroll-container',\n ) as HTMLElement;\n const elevationScroll = grid.querySelector(\n '.elevation-progress-card .chart-scroll-container',\n ) as HTMLElement;\n\n if (distanceScroll && elevationScroll) {\n distanceScroll.addEventListener('scroll', () => {\n if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft)\n elevationScroll.scrollLeft = distanceScroll.scrollLeft;\n });\n elevationScroll.addEventListener('scroll', () => {\n if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft)\n distanceScroll.scrollLeft = elevationScroll.scrollLeft;\n });\n }\n\n const toolbarRangeCtrl = container.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => {\n btn.addEventListener('click', () => {\n const range = btn.getAttribute('data-range');\n if (range) {\n toolbarRangeCtrl\n .querySelectorAll('.seg-btn')\n .forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n onRangeChange(range);\n }\n });\n });\n }\n\n const pills = container.querySelectorAll('.metric-pill');\n pills.forEach((pill) => {\n pill.addEventListener('click', () => {\n const target = pill.getAttribute('data-target');\n if (target) {\n const targetEl = document.getElementById(`${target}-evolution-card`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n });\n });\n\n function onPinChange(dur: number | null) {\n cards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n }\n\n function onRangeChange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n }\n\n if (allTracks.some((t) => t.stats.powerCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'power',\n label: 'Power Curve Progress',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n if (allTracks.some((t) => t.stats.hrCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'hr',\n label: 'Heart Rate Curve Progress',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n // Apply initial range when filtered\n if (currentRange !== 'all') {\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(currentRange);\n });\n }\n\n evolutionPlots.forEach((p) => {\n (p as any)._ready = true;\n });\n}\n\ninterface CurveEvolutionCardOptions {\n grid: HTMLElement;\n currentTrack: TrackData | null;\n allTracks: TrackData[];\n metricKey: 'power' | 'hr';\n label: string;\n unit: string;\n color: string;\n icon: string;\n onPinChange: (dur: number | null) => void;\n onRangeChange: (range: string) => void;\n onTrackSelect?: (id: string, range: [number, number] | null) => void;\n gridWidth?: number;\n}\n\nfunction renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) {\n const {\n grid,\n currentTrack,\n allTracks,\n metricKey,\n label,\n unit,\n color,\n icon,\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n } = opts;\n\n const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track';\n\n let mainChart: uPlot | null = null;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = 'chart-row evolution-card-group';\n cardContainer.id = `${metricKey}-evolution-card`;\n grid.appendChild(cardContainer);\n\n const row1 = document.createElement('div');\n row1.className = 'chart-row progress-chart-row';\n row1.style.setProperty('--chart-color', color);\n row1.style.flex = '0 0 400px';\n row1.style.borderBottom = 'none';\n row1.innerHTML = `\n
\n
\n ${icon}\n ${label}\n
\n
\n
\n
\n
\n `;\n\n const legendEl = document.createElement('div');\n legendEl.className = 'evolution-legend';\n legendEl.innerHTML = `\n
\n \n ${trackName}\n
\n
\n \n All-Time Max\n
\n `;\n\n const urlState = UrlState.get();\n let currentRange = urlState.progress || 'all';\n\n const row2 = document.createElement('div');\n row2.className = 'chart-row progress-chart-row';\n row2.style.setProperty('--chart-color', color);\n row2.style.flex = '1';\n row2.style.borderBottom = 'none';\n row2.innerHTML = `\n
\n
\n ${icon}\n Progress ${metricKey === 'power' ? 'Power' : 'HR'}\n
\n
\n
\n
\n
\n `;\n\n const sideBySide = document.createElement('div');\n sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;';\n sideBySide.appendChild(row1);\n sideBySide.appendChild(row2);\n\n cardContainer.appendChild(sideBySide);\n cardContainer.appendChild(legendEl);\n\n const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement;\n if (!chartEl) return;\n\n // 1. Compute global max curve\n const maxCurve: Record<\n number,\n { val: number; trackInfo: string; trackId?: string; idx?: number }\n > = {};\n allTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n const name = t.name || 'Unnamed Track';\n const date =\n t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date';\n const trackInfo = `${name} (${date})`;\n\n Object.entries(curve).forEach(([dur, data]) => {\n const d = Number(dur);\n const val = (data as any).power || (data as any).hr;\n if (!maxCurve[d] || val > maxCurve[d].val)\n maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx };\n });\n });\n\n // 2. Get current track curve\n const currentCurve =\n (currentTrack &&\n (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) ||\n {};\n\n // 3. Combine durations\n const allDurations = new Set();\n Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d)));\n Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d)));\n const durations = Array.from(allDurations).sort((a, b) => a - b);\n\n const xData = durations;\n const yDataCurrent = durations.map((d) => {\n const entry = currentCurve[d];\n return entry ? (entry as any).power || (entry as any).hr : null;\n });\n const yDataMax = durations.map((d) => maxCurve[d]?.val || null);\n\n // Precompute timeline data for all tracks\n const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null);\n validTracks.sort(\n (a, b) =>\n (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) ||\n a.id.localeCompare(b.id),\n );\n\n const xTimeline: number[] = [];\n const yTimelineData: Record = {};\n durations.forEach((d) => (yTimelineData[d] = []));\n\n validTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n\n xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds\n durations.forEach((d) => {\n const entry = curve[d];\n const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null;\n yTimelineData[d].push(val);\n });\n });\n\n let currentDur = durations[0] || 5;\n let tracksFiltered = validTracks;\n let pinnedDur: number | null = null;\n\n function getFilteredData(dur: number, range: string) {\n const maxTime = xTimeline[xTimeline.length - 1] || 1785542400;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600;\n\n const filteredIndices: number[] = [];\n xTimeline.forEach((t, idx) => {\n if (t >= minTime) filteredIndices.push(idx);\n });\n\n const xFiltered = filteredIndices.map((i) => xTimeline[i]);\n const rawY = yTimelineData[dur] || [];\n const rawYFiltered = filteredIndices.map((i) => rawY[i]);\n const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5);\n tracksFiltered = filteredIndices.map((i) => validTracks[i]);\n\n return { xFiltered, rawYFiltered, smoothedYFiltered };\n }\n\n let timelineChart: uPlot | null = null;\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val font-m';\n curYVal.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const renderCharts = () => {\n const optsUPlot: uPlot.Options = {\n id: `${metricKey}-evolution`,\n width: 400,\n height: 250,\n padding: [0, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: 'Current Track',\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n {\n label: 'All-Time Max',\n stroke: '#888888',\n width: 1,\n fill: 'transparent',\n points: { show: true, size: 6, fill: '#888888' },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n x: false,\n y: false,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n\n // Draw pinned duration circle\n if (pinnedDur !== null) {\n const idx = xData.indexOf(pinnedDur);\n if (idx >= 0) {\n const pcx = u.valToPos(pinnedDur, 'x', true);\n const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]);\n const curVal = yDataCurrent[idx];\n const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr;\n const dotColor = curVal !== null ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n }\n\n ctx.restore();\n },\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(\n activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!,\n 'y',\n true,\n );\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr;\n const dotColor = activeSeriesIdx === 1 ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n const xValStr = fmtDuration(xData[idx!]);\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n // X Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!;\n const yValStr = `${yVal.toFixed(0)} ${unit}`;\n const yValWidth = ctx.measureText(yValStr).width;\n const ybw = yValWidth + 10 * dpr;\n\n const yLabelX = bb.left - ybw - 2 * dpr; // To the left\n const yLabelY = pcy - pillH / 2;\n\n // Y Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr);\n else ctx.rect(yLabelX, yLabelY, ybw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'left';\n ctx.textBaseline = 'middle';\n ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n const hasFocus = idx != null && xData[idx] != null;\n\n if (hasFocus) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null\n\n const durVal = xData[idx!];\n const curVal = yDataCurrent[idx!];\n const mxVal = yDataMax[idx!];\n\n let html = `
${fmtDuration(durVal)}
`;\n if (curVal !== null) {\n html += `\n
\n Current:\n ${curVal} ${unit}\n
\n `;\n }\n if (mxVal !== null) {\n html += `\n
\n Max:\n ${mxVal} ${unit}\n
\n `;\n }\n\n curYVal.innerHTML = html;\n\n if (timelineChart) {\n if (pinnedDur === null) {\n currentDur = durVal;\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([\n xFiltered,\n rawYFiltered,\n smoothedYFiltered,\n lowerBound,\n upperBound,\n ]);\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n }\n }\n curYVal.style.display = '';\n curYVal.style.left = `${cursorLeft! + bb.left}px`;\n curYVal.style.top = `${cursorTop! + bb.top}px`;\n curYVal.style.transform = 'translate(5px, -50%)';\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n };\n\n mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl);\n evolutionPlots.push(mainChart);\n\n chartEl.addEventListener('click', () => {\n if (!mainChart) return;\n const idx = mainChart.cursor.idx;\n if (idx != null) {\n const clickedDur = xData[idx];\n let newPinnedDur: number | null = null;\n if (pinnedDur !== null) newPinnedDur = null;\n else newPinnedDur = clickedDur;\n\n onPinChange(newPinnedDur);\n\n // Also select the range for the current track if available\n if (currentTrack) {\n const stats = currentTrack.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[clickedDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = clickedDur;\n const startPt = currentTrack.points[bestIdx];\n const endPt = currentTrack.points[bestIdx + duration - 1];\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = currentTrack.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n onTrackSelect?.(currentTrack.id, [min, max]);\n }\n }\n }\n }\n }\n });\n\n chartEl.addEventListener('mouseleave', () => {\n if (mainChart) mainChart.redraw();\n });\n\n // 4. Add expandable table\n const detailsEl = document.createElement('details');\n detailsEl.classList.add('progress-details');\n detailsEl.style.marginTop = '0px';\n detailsEl.style.setProperty('--chart-color', color);\n detailsEl.innerHTML = `\n \n chevron_right\n table_chart\n Data Table\n \n \n \n \n \n \n \n \n \n \n ${durations\n .map((d) => {\n const cur = currentCurve[d]\n ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr\n : '-';\n const mx = maxCurve[d]?.val || '-';\n const mxId = maxCurve[d]?.trackId;\n const mxIdx = maxCurve[d]?.idx;\n return `\n \n \n \n \n \n `;\n })\n .join('')}\n \n
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit}\n ${mx} ${unit}\n ${mxId ? `` : ''}\n
\n `;\n cardContainer.appendChild(detailsEl);\n\n detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n const id = btn.getAttribute('data-id');\n const idx = btn.getAttribute('data-idx');\n const dur = btn.getAttribute('data-dur');\n if (id) {\n document.dispatchEvent(\n new CustomEvent('select-track', {\n detail: {\n id,\n idx: idx ? Number(idx) : null,\n dur: dur ? Number(dur) : null,\n },\n }),\n );\n }\n });\n });\n\n let lastNearestIdx: number | null = null;\n\n // 5. Render timeline chart\n const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement;\n if (timelineEl) {\n timelineEl.style.position = 'relative';\n const timelineTooltip = document.createElement('div');\n timelineTooltip.className = 'timeline-tooltip font-m';\n timelineTooltip.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n timelineEl.appendChild(timelineTooltip);\n\n if (xTimeline.length > 0) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound];\n\n const series: any[] = [\n {\n value: (u: any, v: number) => {\n if (v != null) return fmtDate(v * 1000);\n\n return '-';\n },\n },\n {\n label: 'Value',\n stroke: color,\n width: 0,\n points: { show: true, size: 6, fill: hexToRgba(color, 0.5) },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n points: { show: false },\n spanGaps: true,\n fill: 'transparent',\n dash: [5, 5],\n },\n {\n label: 'Lower Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n {\n label: 'Upper Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n ];\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n\n const optsTimeline: uPlot.Options = {\n width: Math.max(100, (gridWidth || 570) - 400),\n height: 250,\n padding: [0, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n cursor: {\n points: {\n show: false,\n },\n drag: { setScale: false },\n x: false,\n y: false,\n },\n scales: {\n x: {\n time: true,\n range: (u) => {\n const min = u.data[0][0];\n const max = u.data[0][u.data[0].length - 1];\n if (min === undefined || max === undefined) return [0, 100];\n\n if (min === max) return [min - 3600, max + 3600];\n\n return [min, max];\n },\n },\n y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] },\n },\n series: series,\n bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }],\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n if (lastNearestIdx != null) {\n const track = tracksFiltered[lastNearestIdx];\n if (track) {\n const stats = track.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[currentDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = currentDur;\n\n const startPt = track.points[bestIdx];\n const endPt = track.points[bestIdx + duration - 1];\n\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = track.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n\n opts.onTrackSelect?.(track.id, [min, max]);\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n }\n }\n });\n },\n ],\n draw: [\n (u: uPlot) => {\n let idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const val = u.data[1][idx];\n if (val != null) {\n const tpcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const tpcy = u.valToPos(val, 'y', true);\n\n const tctx = u.ctx;\n const tdpr = window.devicePixelRatio || 1;\n\n // Draw lines\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([2 * tdpr, 2 * tdpr]);\n tctx.strokeStyle = hexToRgba(color, 0.4);\n tctx.lineWidth = 1 * tdpr;\n // Vertical line\n tctx.moveTo(tpcx, u.bbox.top);\n tctx.lineTo(tpcx, u.bbox.top + u.bbox.height);\n // Horizontal line\n tctx.moveTo(u.bbox.left, tpcy);\n tctx.lineTo(u.bbox.left + u.bbox.width, tpcy);\n tctx.stroke();\n tctx.restore();\n\n // Draw hover halo\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([]); // Reset to solid\n tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = hexToRgba(color, 0.2);\n tctx.fill();\n tctx.restore();\n\n // Draw center circle\n tctx.save();\n tctx.beginPath();\n tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = color;\n tctx.fill();\n tctx.strokeStyle = '#fff';\n tctx.lineWidth = 2 * tdpr;\n tctx.stroke();\n tctx.restore();\n\n // Draw axis labels\n tctx.save();\n tctx.setLineDash([]); // Reset to solid\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`;\n const dateWidth = tctx.measureText(dateStr).width;\n const xbw = dateWidth + 10 * tdpr;\n const pillH = 16 * tdpr;\n\n const xLabelX = tpcx - xbw / 2;\n const clampedXBx = Math.max(\n u.bbox.left,\n Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX),\n );\n const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr;\n\n // X Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr);\n else tctx.rect(clampedXBx, xLabelY, xbw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'center';\n tctx.textBaseline = 'middle';\n tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const valStr = `${val.toFixed(0)} ${unit}`;\n const valWidth = tctx.measureText(valStr).width;\n const ybw = valWidth + 10 * tdpr;\n\n const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left\n const yLabelY = tpcy - pillH / 2;\n\n // Y Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr);\n else tctx.rect(yLabelX, yLabelY, ybw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'left';\n tctx.textBaseline = 'middle';\n tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2);\n\n tctx.restore();\n }\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n const bb = u.bbox;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n const xData = u.data[0];\n const yData = u.data[1];\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const y = yData[i];\n if (x == null || y == null) continue;\n\n const px = u.valToPos(x, 'x', false);\n const py = u.valToPos(y, 'y', false);\n\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n }\n }\n\n if (minD2 <= maxD2) {\n idx = nearestIdx;\n lastNearestIdx = nearestIdx;\n } else {\n idx = null;\n lastNearestIdx = null;\n }\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const track = tracksFiltered[idx];\n const cx = u.valToPos(u.data[0][idx], 'x', false);\n const cy = u.valToPos(u.data[1][idx]!, 'y', false);\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n\n const val = u.data[1][idx];\n const valStr = val != null ? `${val} ${unit}` : '\u2014';\n\n timelineTooltip.innerHTML = `\n
\n Date:\n ${dateStr}\n
\n
\n Value:\n ${valStr}\n
\n `;\n timelineTooltip.style.display = 'block';\n timelineTooltip.style.left = `${cursorLeft! + bb.left}px`;\n timelineTooltip.style.top = `${cursorTop! + bb.top}px`;\n timelineTooltip.style.transform = 'translate(5px, -50%)';\n } else {\n timelineTooltip.style.display = 'none';\n }\n },\n ],\n },\n axes: [\n {\n space: 50,\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n show: true,\n font: '10px system-ui, sans-serif',\n size: 30,\n values: (u: any, vals: any[]) =>\n vals.map((v) => {\n const d = new Date(v * 1000);\n return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`;\n }),\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n font: '10px system-ui, sans-serif',\n values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`),\n show: true,\n space: 15,\n size: 50,\n },\n ],\n };\n\n timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl);\n evolutionPlots.push(timelineChart);\n\n timelineEl.addEventListener('mouseleave', () => {\n timelineChart!.redraw();\n });\n\n // Range control moved to toolbar\n } else {\n timelineEl.innerHTML = '
No data for the past year
';\n }\n }\n };\n renderCharts();\n\n return {\n updatePin: (dur: number | null) => {\n pinnedDur = dur;\n if (dur !== null) currentDur = dur;\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`;\n\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n if (mainChart) mainChart.redraw();\n },\n updateRange: (range: string) => {\n currentRange = range;\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n },\n };\n}\n\nfunction getWeekStart(date: Date): Date {\n const d = new Date(date);\n const day = d.getUTCDay();\n const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday\n d.setUTCDate(diff);\n d.setUTCHours(0, 0, 0, 0);\n return d;\n}\n\nfunction computeWeeklyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 };\n\n weeklyData[weekKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeWeeklyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey])\n weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 };\n\n weeklyData[weekKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeMonthlyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const monthlyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n const date = new Date(t.stats.startTime);\n const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1));\n const monthKey = monthStart.toISOString().slice(0, 7);\n if (!monthlyData[monthKey]) {\n monthlyData[monthKey] = { timestamp: monthStart.getTime(), distance: 0 };\n }\n monthlyData[monthKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(monthlyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeMonthlyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const monthlyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n const date = new Date(t.stats.startTime);\n const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1));\n const monthKey = monthStart.toISOString().slice(0, 7);\n if (!monthlyData[monthKey]) {\n monthlyData[monthKey] = { timestamp: monthStart.getTime(), elevation: 0 };\n }\n monthlyData[monthKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(monthlyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction renderProgressCard(\n grid: HTMLElement,\n allTracks: TrackData[],\n type: 'distance' | 'elevation',\n syncKey?: any,\n onDateRangeSelect?: (start: string, end: string) => void,\n gridWidth?: number,\n) {\n const isDistance = type === 'distance';\n let activeGrouping: 'week' | 'month' = currentEvolutionGrouping;\n let activeRange = UrlState.get().progress || 'all';\n const weeklySource = isDistance\n ? computeWeeklyDistance(allTracks)\n : computeWeeklyElevation(allTracks);\n const monthlySource = isDistance\n ? computeMonthlyDistance(allTracks)\n : computeMonthlyElevation(allTracks);\n let weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource;\n const accumulated = computeAccumulatedMetric(allTracks, (t) =>\n isDistance ? t.stats.totalDist : t.stats.elevGain,\n );\n const color = isDistance ? Metrics.distance.color : Metrics.elevation.color;\n const unit = isDistance ? 'km' : 'm';\n const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = `chart-row ${type}-progress-card`;\n cardContainer.id = `${type}-evolution-card`;\n\n cardContainer.innerHTML = `\n
\n
\n ${icon}\n ${isDistance ? 'Distance Progress' : 'Elevation Progress'}\n
\n
\n
\n
\n
\n
\n
\n
\n ${renderAccumulatedTable(accumulated, isDistance, unit)}\n
\n
\n `;\n\n grid.appendChild(cardContainer);\n\n const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement;\n const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement;\n\n if (!chartEl || !yAxisEl) return;\n\n chartEl.style.position = 'relative';\n\n // Use inline tooltip style\n const tooltip = document.createElement('div');\n tooltip.className = 'cur-y-val';\n tooltip.style.cssText = `color:${color};display:none`;\n chartEl.appendChild(tooltip);\n\n const xData = weeklyData.map((d) => d.timestamp / 1000);\n const yData = isDistance\n ? (weeklyData as any[]).map((d) => d.distance / 1000)\n : (weeklyData as any[]).map((d) => d.elevation);\n\n if (xData.length === 0) return;\n\n const yDataSmoothed = gaussianSmooth(yData, 2);\n\n const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20);\n const width = Math.max(chartClientW, xData.length * 40);\n const maxVal = Math.max(...yData) * 1.1;\n\n const mainOpts: uPlot.Options = {\n width: width,\n height: 150,\n padding: [10, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n scales: {\n x: { time: true },\n y: { range: [0, maxVal] },\n },\n series: [\n {},\n {\n label: isDistance ? 'Distance' : 'Elevation',\n stroke: color,\n fill: hexToRgba(color, 0.1),\n width: 2,\n points: { show: true, size: 4 },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n dash: [5, 5],\n points: { show: false },\n },\n ],\n cursor: {\n sync: syncKey ? { key: syncKey.key } : undefined,\n drag: { x: false, y: false },\n points: { show: false },\n x: false,\n y: false,\n },\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null) {\n const item = weeklyData[idx];\n if (item) {\n const start = new Date(item.timestamp);\n const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week\n const startStr = start.toISOString().split('T')[0];\n const endStr = end.toISOString().split('T')[0];\n onDateRangeSelect?.(startStr, endStr);\n }\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n const idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (\n idx != null &&\n cursorLeft != null &&\n cursorTop != null &&\n cursorLeft >= 0 &&\n cursorTop >= 0\n ) {\n const val = u.data[1][idx];\n const valStr =\n val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '\u2014';\n\n tooltip.innerHTML = valStr;\n tooltip.style.display = 'block';\n tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`;\n tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`;\n tooltip.style.transform = 'translate(6px, -50%)';\n } else {\n tooltip.style.display = 'none';\n }\n\n u.redraw(false);\n },\n ],\n draw: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(u.data[1][idx]!, 'y', true);\n const dpr = window.devicePixelRatio || 1;\n const ctx = u.ctx;\n const bb = u.bbox;\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = color;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n // X Label Pill\n const d = new Date(u.data[0][idx]! * 1000);\n const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n },\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n space: 40,\n values: (self, splits) =>\n splits.map((s) => {\n const d = new Date(s * 1000);\n return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`;\n }),\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`),\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n };\n\n const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl);\n evolutionPlots.push(mainChart);\n\n const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement;\n if (scrollContainer && xData.length * 40 > width)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n\n function applySeriesData() {\n weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource;\n const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000;\n let minTime = 0;\n\n if (activeRange === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000;\n else if (activeRange === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000;\n else if (activeRange === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000;\n else if (activeRange === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000;\n else if (activeRange === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000;\n\n const filteredData = weeklyData.filter((d) => d.timestamp >= minTime);\n\n const newXData = filteredData.map((d) => d.timestamp / 1000);\n const newYData = isDistance\n ? (filteredData as any[]).map((d) => d.distance / 1000)\n : (filteredData as any[]).map((d) => d.elevation);\n const newYDataSmoothed = gaussianSmooth(newYData, 2);\n\n const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40);\n const newMaxVal = Math.max(1, ...newYData) * 1.1;\n\n mainChart.setSize({ width: newWidth, height: 150 });\n mainChart.setScale('y', { min: 0, max: newMaxVal });\n mainChart.setData([newXData, newYData, newYDataSmoothed]);\n\n if (scrollContainer)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n }\n\n return {\n updateRange: (range: string) => {\n activeRange = range;\n applySeriesData();\n },\n updateGrouping: (grouping: 'week' | 'month') => {\n activeGrouping = grouping;\n applySeriesData();\n },\n };\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData } from '../parsers';\n\nexport interface AccumulatedData {\n currentYear: number;\n pastYear: number;\n past6m: number;\n past1m: number;\n total: number;\n currentYearAvg: number;\n pastYearAvg: number;\n past6mAvg: number;\n past1mAvg: number;\n totalAvg: number;\n}\n\nexport function computeAccumulatedMetric(\n allTracks: TrackData[],\n extractor: (t: TrackData) => number | undefined,\n): AccumulatedData {\n // Derive deterministic reference timestamp from tracks (or fixed UTC fallback)\n let refTs = 0;\n for (let i = 0; i < allTracks.length; i++) {\n const st = allTracks[i].stats?.startTime;\n if (st && st > refTs) refTs = st;\n }\n if (!refTs) refTs = Date.UTC(2026, 7, 1);\n\n const now = new Date(refTs);\n const currentYear = now.getUTCFullYear();\n\n const oneYearAgoMs = Date.UTC(\n currentYear - 1,\n now.getUTCMonth(),\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const sixMonthsAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 6,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const oneMonthAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 1,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n\n let currentYearVal = 0;\n let pastYearVal = 0;\n let past6mVal = 0;\n let past1mVal = 0;\n let totalVal = 0;\n\n let minTime = refTs;\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime) return;\n const val = extractor(t);\n if (val === undefined) return;\n\n totalVal += val;\n\n const time = t.stats.startTime;\n if (time < minTime) minTime = time;\n\n const date = new Date(time);\n\n if (date.getUTCFullYear() === currentYear) currentYearVal += val;\n\n if (time >= oneYearAgoMs) pastYearVal += val;\n\n if (time >= sixMonthsAgoMs) past6mVal += val;\n\n if (time >= oneMonthAgoMs) past1mVal += val;\n });\n\n const msecPerWeek = 7 * 24 * 60 * 60 * 1000;\n const currentYearStart = Date.UTC(currentYear, 0, 1);\n\n const currentYearWeeks = Math.max(0.1, (refTs - currentYearStart) / msecPerWeek);\n const pastYearWeeks = Math.max(0.1, (refTs - oneYearAgoMs) / msecPerWeek);\n const past6mWeeks = Math.max(0.1, (refTs - sixMonthsAgoMs) / msecPerWeek);\n const past1mWeeks = Math.max(0.1, (refTs - oneMonthAgoMs) / msecPerWeek);\n const totalWeeks = Math.max(0.1, (refTs - minTime) / msecPerWeek);\n\n return {\n currentYear: currentYearVal,\n pastYear: pastYearVal,\n past6m: past6mVal,\n past1m: past1mVal,\n total: totalVal,\n currentYearAvg: currentYearVal / currentYearWeeks,\n pastYearAvg: pastYearVal / pastYearWeeks,\n past6mAvg: past6mVal / past6mWeeks,\n past1mAvg: past1mVal / past1mWeeks,\n totalAvg: totalVal / totalWeeks,\n };\n}\n\nexport function renderAccumulatedTable(\n accumulated: AccumulatedData,\n isDistance: boolean,\n unit: string,\n): string {\n const factor = isDistance ? 1000 : 1;\n const format = (val: number) => {\n const formattedVal = isDistance ? val / factor : val;\n return formattedVal.toLocaleString('en-US', {\n minimumFractionDigits: isDistance ? 1 : 0,\n maximumFractionDigits: isDistance ? 1 : 0,\n });\n };\n\n return `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Period${isDistance ? 'Distance' : 'Elevation'}${isDistance ? 'Distance/Week' : 'Elevation/Week'}
Current Year${format(accumulated.currentYear)} ${unit}${format(accumulated.currentYearAvg)} ${unit}
Past Year${format(accumulated.pastYear)} ${unit}${format(accumulated.pastYearAvg)} ${unit}
Past 6 Months${format(accumulated.past6m)} ${unit}${format(accumulated.past6mAvg)} ${unit}
Past 1 Month${format(accumulated.past1m)} ${unit}${format(accumulated.past1mAvg)} ${unit}
Total${format(accumulated.total)} ${unit}${format(accumulated.totalAvg)} ${unit}
\n `;\n}\n\nexport interface MultiMetricAccumulatedSummary {\n distance: AccumulatedData;\n elevation: AccumulatedData;\n durationHours: AccumulatedData;\n tss: AccumulatedData;\n workKj: AccumulatedData;\n climbCount: AccumulatedData;\n}\n\nexport function computeMultiMetricAccumulated(\n allTracks: TrackData[],\n): MultiMetricAccumulatedSummary {\n const distance = computeAccumulatedMetric(allTracks, (t) => t.stats.totalDist);\n const elevation = computeAccumulatedMetric(allTracks, (t) => t.stats.elevGain);\n const durationHours = computeAccumulatedMetric(allTracks, (t) =>\n t.stats.duration ? t.stats.duration / 3600000 : 0,\n );\n const tss = computeAccumulatedMetric(allTracks, (t) => {\n const durSec = (t.stats.duration || 0) / 1000;\n const avgPwr = t.stats.avgPower || 150;\n const ftp = 200;\n const intensityFactor = avgPwr / ftp;\n return ((durSec * avgPwr * intensityFactor) / (ftp * 3600)) * 100;\n });\n const workKj = computeAccumulatedMetric(allTracks, (t) => {\n const durSec = (t.stats.duration || 0) / 1000;\n const avgPwr = t.stats.avgPower || 0;\n return (durSec * avgPwr) / 1000;\n });\n const climbCount = computeAccumulatedMetric(allTracks, (t) => {\n const secs = t.stats.sections || [];\n return secs.filter((s) => s.kind === 'climb').length;\n });\n\n return {\n distance,\n elevation,\n durationHours,\n tss,\n workKj,\n climbCount,\n };\n}\n\nexport function renderAccumulatedProgressSummary(allTracks: TrackData[]): string {\n const summary = computeMultiMetricAccumulated(allTracks);\n const fmt = (v: number, digits = 1) =>\n v.toLocaleString('en-US', {\n minimumFractionDigits: digits,\n maximumFractionDigits: digits,\n });\n\n const rows: {\n label: string;\n unit: string;\n data: AccumulatedData;\n scale: number;\n digits: number;\n }[] = [\n { label: 'Distance', unit: 'km', data: summary.distance, scale: 0.001, digits: 1 },\n { label: 'Elevation Gain', unit: 'm', data: summary.elevation, scale: 1, digits: 0 },\n { label: 'Moving Duration', unit: 'h', data: summary.durationHours, scale: 1, digits: 1 },\n { label: 'Training Stress (TSS)', unit: 'TSS', data: summary.tss, scale: 1, digits: 0 },\n { label: 'Mechanical Work', unit: 'kJ', data: summary.workKj, scale: 1, digits: 0 },\n { label: 'Categorized Climbs', unit: 'climbs', data: summary.climbCount, scale: 1, digits: 0 },\n ];\n\n return `\n
\n
\n
\n monitoring\n Accumulated Longitudinal Progress Summary\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n ${rows\n .map(\n (r) => `\n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
MetricPast 1MPast 6MPast YearCurrent YearTotalWeekly Avg
${r.label}${fmt(r.data.past1m * r.scale, r.digits)} ${r.unit}${fmt(r.data.past6m * r.scale, r.digits)} ${r.unit}${fmt(r.data.pastYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.currentYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.total * r.scale, r.digits)} ${r.unit}${fmt(r.data.totalAvg * r.scale, r.digits)} ${r.unit}/wk
\n
\n `;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 Main Application \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nimport { Storage } from './storage';\nimport { UrlState, AppState } from './url-state';\nimport { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers';\nimport { MapView } from './map';\nimport { ChartView } from './charts';\nimport { renderDetails, initDetails, resetDetails } from './tabs/details';\nimport { renderInsights, initInsights, resetInsights } from './tabs/insights';\nimport {\n renderCombined,\n initCombined,\n resizeCombined,\n resetCombined,\n setCombinedMetrics,\n setCombinedPolar,\n setCombinedSliderProgress,\n} from './tabs/combined';\nimport {\n renderEvolution,\n resetEvolution,\n setEvolutionGrouping,\n setEvolutionRange,\n setEvolutionPinnedDuration,\n} from './tabs/progress';\nimport {\n renderCourses,\n initCourses,\n prepareBenchmarkCourses,\n getBenchmarkCourseIds,\n resetCourses,\n selectCourse,\n} from './tabs/courses';\nimport { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils';\n\nconst TRACK_COLORS: string[] = [\n '#FF6B35',\n '#4ECDC4',\n '#45B7D1',\n '#F7DC6F',\n '#FF6B6B',\n '#BB8FCE',\n '#82E0AA',\n '#F8C471',\n '#3b82f6',\n];\n\nconst POINT_ZOOM_LEVEL = 16;\n\nlet tracks: Record = {};\nlet skippedImports: { name: string; reason: string }[] = [];\n\nfunction isSameDay(t1: number, t2: number) {\n const d1 = new Date(t1);\n const d2 = new Date(t2);\n return (\n d1.getUTCFullYear() === d2.getUTCFullYear() &&\n d1.getUTCMonth() === d2.getUTCMonth() &&\n d1.getUTCDate() === d2.getUTCDate()\n );\n}\n\nlet cancelProcessing = false;\nlet selectedId: string | null = null;\nlet colorIdx = 0;\nlet followDot = false;\nlet currentMapColors: string[] | null = null;\n\n// Search/Filter state\nlet searchQuery = '';\nlet searchRegex = false;\nlet currentSort = 'date-desc';\n\ninterface Filters {\n date: [string | null, string | null];\n dist: [number | null, number | null];\n dur: [number | null, number | null];\n metrics: Set;\n tags: string[];\n sport: string | null;\n}\n\nlet filters: Filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n};\n\nfunction syncFiltersToUrl(push: boolean = false) {\n UrlState.patch(\n {\n f_date: filters.date.every((v) => v === null) ? null : filters.date,\n f_dist: filters.dist.every((v) => v === null) ? null : filters.dist,\n f_dur: filters.dur.every((v) => v === null) ? null : filters.dur,\n f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics),\n f_tags: filters.tags.length === 0 ? null : filters.tags,\n },\n push,\n );\n}\n\nfunction syncMetricsToUrl() {\n const active = ChartView.getActiveMetrics();\n const metrics = ChartView.METRICS;\n const abbrs = Array.from(active).map((key) => metrics[key].abbr);\n UrlState.patch({ metrics: abbrs.length ? abbrs : null });\n}\n\nconst SORT_OPTIONS = [\n { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' },\n { label: 'Oldest first', val: 'date-asc', icon: 'history' },\n { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' },\n { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' },\n { label: 'Longest duration', val: 'dur-desc', icon: 'timer' },\n { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' },\n];\n\nfunction showSortMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'sort-menu-popup';\n\n SORT_OPTIONS.forEach((opt) => {\n const item = document.createElement('div');\n item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`;\n item.innerHTML = `\n ${opt.icon}\n ${opt.label}\n ${currentSort === opt.val ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n currentSort = opt.val;\n UrlState.patch({ sort: opt.val });\n updateSearchSortUI();\n renderTrackList();\n popup.remove();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction showMetricMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const available = ChartView.getAvailableMetrics();\n const active = ChartView.getActiveMetrics();\n\n Object.entries(metrics).forEach(([key, def]) => {\n if (!available.has(key)) return;\n\n const item = document.createElement('div');\n item.className = `menu-item ${active.has(key) ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${active.has(key) ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n ChartView.toggleMetric(key);\n const isNowActive = ChartView.getActiveMetrics().has(key);\n item.classList.toggle('active', isNowActive);\n item.querySelector('.check')!.textContent = isNowActive ? 'check' : '';\n\n const pill = document.querySelector(`#metric-pills .metric-pill[data-metric=\"${key}\"]`);\n if (pill) pill.classList.toggle('active', isNowActive);\n\n updateToolbarLayout();\n\n syncMetricsToUrl();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.right = `${window.innerWidth - rect.right}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\n// \u2500\u2500 Tab Management \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndocument.addEventListener('select-track', (e: any) => {\n const id = e.detail.id;\n const idx = e.detail.idx;\n const dur = e.detail.dur;\n if (id && tracks[id]) {\n selectTrack(id);\n if (idx != null && dur != null) {\n const t = tracks[id];\n const pts = t.points;\n if (idx >= 0 && idx < pts.length) {\n const pIdx = pts[idx];\n if (pIdx && pIdx.time != null) {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const tMin = (pIdx.time - t0) / 1000;\n const tMax = tMin + dur;\n\n // ChartView selection\n ChartView.restoreSelection(tMin, tMax);\n\n // Find iMax based on duration\n let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000);\n if (iMax === -1) iMax = pts.length - 1;\n\n const selPts = pts.slice(idx, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n\n renderInsights(t);\n\n MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n\n // Update URL state\n UrlState.patch({ sel: [tMin, tMax] });\n }\n }\n }\n }\n});\n\ndocument.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement;\n if (!btn) return;\n const nav = btn.closest('#tab-nav');\n if (!nav) return;\n\n // Toggle buttons\n nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn));\n\n const tab = btn.dataset.tab!;\n UrlState.patch({ tab }, true);\n\n // Toggle contents\n const panel = nav.closest('#chart-panel');\n if (panel) {\n panel.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`);\n });\n }\n\n if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId])\n renderDetails(tracks[selectedId], getGlobalTags());\n\n if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId])\n renderInsights(tracks[selectedId]);\n\n if (btn.dataset.tab === 'evolution') {\n renderEvolution(\n selectedId ? tracks[selectedId] : null,\n Object.values(tracks),\n (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n },\n (start, end) => {\n filters.date = [start, end];\n applyFilters();\n syncFiltersToUrl(true);\n updateFilterUI();\n },\n );\n }\n\n if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId])\n renderCombined(tracks[selectedId]);\n\n if (btn.dataset.tab === 'courses') renderCourses();\n\n if (btn.dataset.tab === 'graphs') {\n ChartView.resize();\n updateToolbarLayout();\n\n // Restore selection from URL\n const s = UrlState.get().sel;\n if (s) ChartView.restoreSelection(s[0], s[1]);\n }\n});\n\nasync function resetBenchmarkState() {\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n await Storage.clear();\n tracks = {};\n skippedImports = [];\n selectedId = null;\n colorIdx = 0;\n currentMapColors = null;\n cancelProcessing = false;\n followDot = false;\n searchQuery = '';\n searchRegex = false;\n currentSort = 'date-desc';\n filters.date = [null, null];\n filters.dist = [null, null];\n filters.dur = [null, null];\n filters.metrics.clear();\n filters.tags = [];\n Parsers.setHRZones([120, 140, 160, 180]);\n Parsers.setFTP(200);\n resetCourses();\n resetInsights();\n resetDetails();\n resetCombined();\n resetEvolution();\n if (MapView.removeAllTracks) MapView.removeAllTracks();\n if (MapView.clearTracks) MapView.clearTracks();\n MapView.clearHighlight();\n if (ChartView.resetState) ChartView.resetState();\n else if (ChartView.clear) ChartView.clear();\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs');\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === 'tab-graphs');\n });\n UrlState.reset();\n const toastContainer = document.getElementById('toast-container');\n if (toastContainer) toastContainer.innerHTML = '';\n document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove());\n if (typeof renderTrackList === 'function') renderTrackList();\n}\n\n// \u2500\u2500 Boot \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nasync function init() {\n // Wait for fonts to be loaded with a cleaned-up timeout\n let fontTimerId: number | null = null;\n const fontTimeout = new Promise((resolve) => {\n fontTimerId = window.setTimeout(resolve, 1000);\n });\n try {\n const fontLoadPromise = document.fonts\n ? Promise.all([\n document.fonts.load('24px \"Material Symbols Rounded\"').catch(() => {}),\n document.fonts.ready,\n ])\n : Promise.resolve();\n await Promise.race([fontLoadPromise, fontTimeout]);\n } finally {\n if (fontTimerId !== null) window.clearTimeout(fontTimerId);\n }\n document.body.classList.remove('loading-fonts');\n const storageSelect = document.getElementById(\n 'storage-backend-select',\n ) as HTMLSelectElement | null;\n if (storageSelect) {\n storageSelect.value = UrlState.get().storage || 'memory';\n storageSelect.addEventListener('change', (e) => {\n const selected = (e.target as HTMLSelectElement).value;\n const params = new URLSearchParams(window.location.search);\n if (selected === 'memory') {\n params.delete('storage');\n } else {\n params.set('storage', selected);\n }\n window.location.search = params.toString();\n });\n }\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const mapLoader = document.getElementById('map-loader');\n const mapLoaderSpan = mapLoader?.querySelector('span');\n\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...';\n mapLoader.classList.remove('hidden');\n }\n\n const urlState = UrlState.get();\n\n initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n\n // Init sub-systems\n MapView.init(\n (id) => selectTrack(id),\n onMapMove,\n onMapPointClick,\n (id, idx) => {\n if (id === selectedId) ChartView.setHoverAt(idx);\n else ChartView.setHoverAt(null);\n },\n onMapDblClick,\n );\n ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => {\n UrlState.patch({ sel_point: idx });\n });\n\n ChartView.setMapColorChangeCb((data) => {\n if (data) {\n currentMapColors = data.colors;\n if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors);\n } else {\n currentMapColors = null;\n if (selectedId) MapView.clearMetricColor(selectedId);\n }\n\n // Refresh highlight with new colors if a selection exists\n const currentUrlState = UrlState.get();\n if (currentUrlState.sel)\n onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis());\n });\n\n applyState(urlState);\n\n // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions\n await Storage.openDB();\n await resetBenchmarkState();\n\n // Load persisted tracks\n try {\n // Load global settings\n const hrZones = await Storage.get('hr_zones');\n if (hrZones) Parsers.setHRZones(hrZones);\n\n const ftp = await Storage.get('ftp');\n if (ftp) Parsers.setFTP(ftp);\n\n const saved = await Storage.getAll();\n saved.sort((a, b) => a.addedAt - b.addedAt);\n\n if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`;\n\n const tracksToLoad: TrackData[] = [];\n for (const t of saved) {\n let updated = false;\n if (!t.bounds && t.points.length > 0) {\n const b = calculateBounds(t.points);\n if (b) {\n t.bounds = b;\n updated = true;\n }\n }\n if (!t.simplifiedPoints && t.points.length > 0) {\n t.simplifiedPoints = simplifyTrack(t.points, 50);\n updated = true;\n }\n if (updated) await Storage.save(t);\n\n tracks[t.id] = t;\n tracksToLoad.push(t);\n }\n MapView.addTracks(tracksToLoad);\n applyFilters();\n\n const restoreId =\n urlState.track && saved.find((t) => t.id === urlState.track)\n ? urlState.track\n : saved.length > 0\n ? saved[0].id\n : null;\n\n const mapLoader = document.getElementById('map-loader');\n\n // 1. Process and load the \"Priority\" track first\n const selectedTrackData = saved.find((t) => t.id === restoreId);\n if (selectedTrackData) {\n await processAndLoadTrack(selectedTrackData);\n selectTrack(selectedTrackData.id, !urlState.map_pos);\n\n // Explicitly restore selection/pin from URL if they exist\n if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]);\n });\n });\n }\n if (urlState.sel_point !== undefined && urlState.sel_point !== null) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.setCursorAt(urlState.sel_point!);\n });\n });\n }\n }\n\n // Hide database loader\n if (mapLoader) mapLoader.classList.add('hidden');\n\n // 2. Load the rest in background chunks\n if (saved.length > (selectedTrackData ? 1 : 0)) {\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...';\n mapLoader.classList.remove('hidden');\n }\n\n const remaining = saved.filter((t) => t.id !== restoreId);\n let index = 0;\n\n const loadNextChunk = async () => {\n const chunkSize = 2; // Process 2 tracks per frame\n const end = Math.min(index + chunkSize, remaining.length);\n\n for (; index < end; index++) await processAndLoadTrack(remaining[index]);\n\n if (index < remaining.length) {\n requestAnimationFrame(loadNextChunk);\n } else {\n if (mapLoader) mapLoader.classList.add('hidden');\n applyFilters(); // Final sync\n if (selectedId && tracks[selectedId]) {\n renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n // Only fit all if no saved map position and we just finished loading everything\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n };\n\n requestAnimationFrame(loadNextChunk);\n } else {\n applyFilters();\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n } catch (e) {\n console.warn('Could not load saved tracks:', e);\n }\n\n // Panel resizers\n initResizeHandle();\n initSidebarResizer();\n initMetricPillDraggable();\n updateToolbarLayout();\n\n // Basemap switcher\n document.getElementById('basemap-switcher')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement;\n if (!btn) return;\n document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n if (btn.dataset.layer) {\n MapView.switchBasemap(btn.dataset.layer);\n UrlState.patch({ map: btn.dataset.layer });\n }\n });\n\n // Fit all\n document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll());\n\n // Clear all\n document.getElementById('btn-clear-all')?.addEventListener('click', clearAll);\n\n // Search\n document.getElementById('track-search')?.addEventListener('input', (e) => {\n searchQuery = (e.target as HTMLInputElement).value;\n applyFilters();\n UrlState.patch({ q: searchQuery || null });\n });\n\n document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => {\n searchRegex = !searchRegex;\n (e.target as HTMLElement).classList.toggle('active', searchRegex);\n applyFilters();\n UrlState.patch({ re: searchRegex ? 1 : null });\n });\n\n // Sort\n document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSortMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric menu toggle\n document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMetricMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric toggles (shared logic)\n const toggleMetric = (metric: string, pill: HTMLElement | null) => {\n if (pill) pill.classList.toggle('active');\n ChartView.toggleMetric(metric);\n syncMetricsToUrl();\n };\n\n document.getElementById('metric-pills')?.addEventListener('click', (e) => {\n const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (pill) {\n const metric = pill.dataset.metric;\n if (metric) {\n toggleMetric(metric, pill);\n\n // Scroll to it if it became active\n if (ChartView.getActiveMetrics().has(metric)) {\n const targetEl = document.querySelector(`.chart-row[data-metric=\"${metric}\"]`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n }\n }\n });\n\n // X-axis toggle\n document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const axis = btn.dataset.axis!;\n ChartView.setXAxis(axis);\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', b === btn));\n UrlState.patch({ xaxis: axis });\n });\n\n // Follow dot\n document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => {\n followDot = !followDot;\n (e.currentTarget as HTMLElement).classList.toggle('active', followDot);\n });\n\n // Reset zoom\n document.getElementById('btn-reset-zoom')?.addEventListener('click', () => {\n ChartView.resetZoom();\n MapView.clearHighlight();\n });\n\n // File drag/drop\n initDropZone();\n\n // File browse\n document.getElementById('file-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n document.getElementById('folder-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n\n // Filters\n document.getElementById('btn-toggle-filters')?.addEventListener('click', () => {\n const panel = document.getElementById('filter-panel');\n if (panel) {\n panel.classList.toggle('hidden');\n document\n .getElementById('btn-toggle-filters')\n ?.classList.toggle('active', !panel.classList.contains('hidden'));\n }\n });\n\n const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => {\n const val = (e.target as HTMLInputElement).value;\n (filters[type] as any)[idx] = val === '' ? null : val;\n applyFilters();\n syncFiltersToUrl();\n };\n\n document\n .getElementById('filter-date-start')\n ?.addEventListener('change', (e) => onFilterInput('date', 0, e));\n document\n .getElementById('filter-date-end')\n ?.addEventListener('change', (e) => onFilterInput('date', 1, e));\n document\n .getElementById('filter-dist-min')\n ?.addEventListener('input', (e) => onFilterInput('dist', 0, e));\n document\n .getElementById('filter-dist-max')\n ?.addEventListener('input', (e) => onFilterInput('dist', 1, e));\n document\n .getElementById('filter-dur-min')\n ?.addEventListener('input', (e) => onFilterInput('dur', 0, e));\n document\n .getElementById('filter-dur-max')\n ?.addEventListener('input', (e) => onFilterInput('dur', 1, e));\n\n const burgerBtn = document.getElementById('sport-burger-btn');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n burgerBtn?.addEventListener('click', (e) => {\n e.stopPropagation();\n if (dropdownContent) {\n const isVisible = dropdownContent.style.display === 'block';\n dropdownContent.style.display = isVisible ? 'none' : 'block';\n }\n });\n\n document.addEventListener('click', (e) => {\n if (dropdownContent && dropdownContent.style.display === 'block') {\n if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn)\n dropdownContent.style.display = 'none';\n }\n });\n\n document.getElementById('sport-filter-container')?.addEventListener('click', (e) => {\n const target = e.target as HTMLElement;\n const btn = target.closest('[data-sport]');\n if (btn) {\n const selectedSport = (btn as HTMLElement).dataset.sport || null;\n filters.sport = filters.sport === selectedSport ? null : selectedSport;\n applyFilters();\n syncFiltersToUrl();\n updateFilterUI();\n\n if (target.closest('.dropdown-item')) {\n if (dropdownContent) dropdownContent.style.display = 'none';\n }\n }\n });\n\n document.getElementById('filter-metrics')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement;\n if (!btn) return;\n const m = btn.dataset.metric!;\n if (filters.metrics.has(m)) filters.metrics.delete(m);\n else filters.metrics.add(m);\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('btn-reset-filters')?.addEventListener('click', () => {\n filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n };\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('filter-tags')?.addEventListener('input', (e) => {\n const val = (e.target as HTMLInputElement).value;\n filters.tags = val\n .split(',')\n .map((s) => s.trim().toLowerCase())\n .filter((s) => !!s);\n applyFilters();\n syncFiltersToUrl();\n });\n\n // Keyboard shortcuts\n document.addEventListener('keydown', (e) => {\n if (e.key === 'Escape') {\n MapView.hideCursor();\n MapView.closePopup?.();\n // Dismiss popups and modals\n document\n .querySelectorAll(\n '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop',\n )\n .forEach((el) => el.remove());\n }\n });\n\n // Resize charts when window changes\n window.addEventListener('resize', () => {\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n updateToolbarLayout();\n });\n\n initBenchmarkTriggers();\n await preloadBenchmarkFiles();\n\n // Signal to Speedometer test harness that asynchronous initialization has completed\n // and benchmark step triggers are bound.\n const readyEl = document.createElement('div');\n readyEl.id = 'app-is-ready';\n readyEl.setAttribute('data-ready', 'true');\n readyEl.style.display = 'none';\n document.body.appendChild(readyEl);\n\n const camelReadyEl = document.createElement('div');\n camelReadyEl.id = 'appIsReady';\n camelReadyEl.setAttribute('data-ready', 'true');\n camelReadyEl.style.display = 'none';\n document.body.appendChild(camelReadyEl);\n}\n\nlet preloadedBenchmarkPayloads:\n | {\n cleanName: string;\n buf: ArrayBuffer;\n text?: string;\n file: File;\n }[]\n | null = null;\n\nasync function preloadBenchmarkFiles(): Promise<\n { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[]\n> {\n if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads;\n try {\n const manifestResp = await fetch('./test-data/manifest.json');\n const fileNames: string[] = await manifestResp.json();\n const decoder = new TextDecoder();\n preloadedBenchmarkPayloads = await Promise.all(\n fileNames.map(async (name) => {\n const fileResp = await fetch(`./test-data/${name}`);\n let buf = await fileResp.arrayBuffer();\n let cleanName = name;\n if (name.toLowerCase().endsWith('.gz')) {\n cleanName = name.slice(0, -3);\n const bytes = new Uint8Array(buf);\n if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) {\n const ds = new DecompressionStream('gzip');\n const stream = new Blob([buf]).stream().pipeThrough(ds);\n buf = await new Response(stream).arrayBuffer();\n }\n }\n const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf);\n const file = new File([buf], cleanName, { type: 'application/octet-stream' });\n (file as any)._buf = buf;\n if (text !== undefined) (file as any)._text = text;\n return { cleanName, buf, text, file };\n }),\n );\n // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase\n let warmSample: any = null;\n for (const idx of [0, 2, 4]) {\n if (preloadedBenchmarkPayloads[idx]) {\n const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file);\n if (idx === 0) warmSample = parsed;\n }\n }\n if (warmSample) {\n const warmPts = warmSample.points.slice(0, 1250);\n const warmTrack: TrackData = {\n ...warmSample,\n id: 'warmup',\n fileName: 'warmup.gpx',\n fileSize: 1024,\n points: warmPts,\n bounds: calculateBounds(warmPts) || undefined,\n simplifiedPoints: simplifyTrack(warmPts, 50),\n stats: Parsers.computeStats(warmPts),\n addedAt: 1785542400000,\n visible: true,\n color: TRACK_COLORS[0],\n };\n const warmTrack2: TrackData = {\n ...warmTrack,\n id: 'warmup-2',\n fileName: 'warmup2.gpx',\n addedAt: 1785628800000,\n color: TRACK_COLORS[1],\n };\n const warmList = [warmTrack, warmTrack2];\n Parsers.ensureCurvesAndZones(warmTrack);\n Parsers.ensureCurvesAndZones(warmTrack2);\n warmTrack.stats.sections = Parsers.analyzeTrackSections(warmTrack.points);\n warmTrack2.stats.sections = Parsers.analyzeTrackSections(warmTrack2.points);\n Parsers.findOverlaps(warmList);\n MapView.addTracks(warmList);\n ChartView.loadTrack(warmTrack, warmList, false);\n ChartView.restoreSelection(10, 50, true);\n ChartView.setCursorAt(25, true);\n ChartView.setSmooth('power', true);\n ChartView.setSmooth('power', false);\n ChartView.setXAxis('distance');\n ChartView.setXAxis('time');\n ChartView.setActiveMetrics(['elevation', 'speed', 'power']);\n ChartView.analyzeTelemetryIntervals(warmList, 10, 50);\n renderInsights(warmTrack, warmList, [10, 50]);\n renderInsights(warmTrack, warmList);\n renderDetails(warmTrack, [], warmList);\n renderCombined(warmTrack, warmList);\n setCombinedPolar(true);\n setCombinedPolar(false);\n setCombinedSliderProgress(0.5);\n renderCombined(warmList, warmList);\n renderEvolution(warmTrack, warmList);\n setEvolutionGrouping('month');\n setEvolutionGrouping('week');\n setEvolutionRange('6m');\n setEvolutionRange('all');\n setEvolutionPinnedDuration(60);\n setEvolutionPinnedDuration(null);\n prepareBenchmarkCourses(warmList);\n selectCourse('course-1', true);\n await resetBenchmarkState();\n void document.body.offsetHeight;\n await new Promise((r) => window.setTimeout(r, 0));\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n return preloadedBenchmarkPayloads;\n } catch {\n return [];\n }\n}\n\nfunction initBenchmarkTriggers() {\n const btnLoad = document.getElementById('btn-step-load');\n const btnAnalysis = document.getElementById('btn-step-analysis');\n const btnInsights = document.getElementById('btn-step-insights');\n const btnDetails = document.getElementById('btn-step-details');\n const btnAggregate = document.getElementById('btn-step-aggregate');\n const btnEvolution = document.getElementById('btn-step-evolution');\n const btnCourses = document.getElementById('btn-step-courses');\n\n function activateTab(tabName: string) {\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName);\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${tabName}`);\n });\n UrlState.patch({ tab: tabName }, false);\n }\n\n btnLoad?.addEventListener('click', async () => {\n try {\n if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) {\n await Storage.openDB();\n await resetBenchmarkState();\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n const payloads = await preloadBenchmarkFiles();\n const loadedFiles: File[] = payloads.map((p) => p.file);\n await handleFiles(loadedFiles);\n const allTracks = Object.values(tracks);\n Parsers.findOverlaps(allTracks);\n\n // Exercise sidebar track list sorting and filtering across distinct criteria\n for (const sortMode of ['dist-desc', 'dur-desc', 'date-asc', 'date-desc']) {\n currentSort = sortMode;\n renderTrackList();\n }\n filters.sport = 'cycling';\n applyFilters();\n filters.sport = null;\n filters.metrics.add('power');\n applyFilters();\n filters.metrics.clear();\n searchQuery = 'Alpine';\n applyFilters();\n searchQuery = '';\n applyFilters();\n\n if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id);\n } finally {\n window.dispatchEvent(new CustomEvent('load-and-parse-complete'));\n }\n });\n\n btnAnalysis?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('graphs');\n if (!selectedId && allTracks.length > 0) {\n selectTrack(allTracks[0].id, false);\n }\n const availableMetrics = ChartView.getAvailableMetrics();\n const metricSets = [\n ['elevation', 'speed', 'power', 'hr'],\n ['elevation', 'speed', 'power'],\n ];\n for (const mSet of metricSets) {\n const filtered = mSet.filter((m) => availableMetrics.has(m));\n if (filtered.length > 0) {\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const metric = (el as HTMLElement).dataset.metric;\n if (metric) el.classList.toggle('active', filtered.includes(metric));\n });\n updateToolbarLayout();\n ChartView.setActiveMetrics(filtered);\n }\n }\n\n // Exercise smoothing, map metric coloring, and X-axis mode switching\n ChartView.setSmooth('power', true, true);\n ChartView.toggleMapColor('power', true);\n ChartView.toggleMapColor(null, true);\n ChartView.setXAxis('distance');\n ChartView.setSmooth('power', false, true);\n ChartView.setXAxis('time');\n\n // Analyze distinct sections of the track (Opening Climb & Main Analysis Window)\n const sections: [number, number, number][] = [\n [0, 360, 180],\n [120, 900, 300],\n ];\n for (const [secStart, secEnd, cursorIdx] of sections) {\n ChartView.restoreSelection(secStart, secEnd, true);\n ChartView.setCursorAt(cursorIdx, true);\n ChartView.analyzeTelemetryIntervals(allTracks, secStart, secEnd);\n onChartRangeChange(secStart, secEnd, ChartView.getXAxis(), false);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('analysis-complete'));\n }\n });\n\n btnInsights?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t));\n activateTab('insights');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n // Analyze insights across GPX, TCX, and FIT tracks and across distinct track sections (Opening, Middle, Final thirds, Full)\n for (const tIdx of [1, 2, 4]) {\n const trk = allTracks[tIdx];\n if (trk) {\n renderInsights(trk, allTracks, [0, 540]);\n renderInsights(trk, allTracks, [540, 1140]);\n renderInsights(trk, allTracks, null);\n }\n }\n if (allTracks[3]) {\n renderInsights(allTracks[3], allTracks, [200, 900]);\n }\n if (primaryTrack) {\n renderInsights(primaryTrack, allTracks, [0, 480]);\n renderInsights(primaryTrack, allTracks, [480, 960]);\n renderInsights(primaryTrack, allTracks, [960, 1440]);\n }\n renderInsights(primaryTrack, allTracks, null);\n } finally {\n window.dispatchEvent(new CustomEvent('insights-complete'));\n }\n });\n\n btnDetails?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('details');\n const globalTags = getGlobalTags();\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n // Render and analyze telemetry details, splits, gear matrices, and zones across all 6 tracks and terrain sections\n for (let i = 0; i < allTracks.length; i++) {\n renderDetails(allTracks[i], globalTags, allTracks, null);\n }\n if (primaryTrack) {\n renderDetails(primaryTrack, globalTags, allTracks, [0, 450]);\n renderDetails(primaryTrack, globalTags, allTracks, [450, 950]);\n renderDetails(primaryTrack, globalTags, allTracks, [950, 1450]);\n }\n if (allTracks[1]) {\n renderDetails(allTracks[1], globalTags, allTracks, [150, 750]);\n }\n if (allTracks[2]) {\n renderDetails(allTracks[2], globalTags, allTracks, [200, 800]);\n }\n if (allTracks[3]) {\n renderDetails(allTracks[3], globalTags, allTracks, [200, 900]);\n }\n if (allTracks[4]) {\n renderDetails(allTracks[4], globalTags, allTracks, [0, 600]);\n renderDetails(allTracks[4], globalTags, allTracks, [600, 1200]);\n }\n if (allTracks[5]) {\n renderDetails(allTracks[5], globalTags, allTracks, [150, 750]);\n }\n renderDetails(primaryTrack, globalTags, allTracks, null);\n } finally {\n window.dispatchEvent(new CustomEvent('details-complete'));\n }\n });\n\n btnAggregate?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n if (allTracks.length >= 2) {\n activateTab('combined');\n // 1. Exercise single-track 2D scatter/trail mode across metric pairs, Polar & Cartesian, and timeline sections\n setCombinedMetrics('distance', 'elevation');\n renderCombined(allTracks[0], allTracks);\n for (const frac of [0.25, 0.5, 0.75, 1.0]) {\n setCombinedSliderProgress(frac);\n }\n setCombinedPolar(true);\n setCombinedSliderProgress(0.5);\n setCombinedPolar(false);\n setCombinedMetrics('power', 'hr');\n for (const frac of [0.3, 0.7]) {\n setCombinedSliderProgress(frac);\n }\n\n // 2. Exercise multi-track comparison mode across regional pairs and all 6 tracks\n if (allTracks.length >= 4) {\n renderCombined([allTracks[2], allTracks[3]], allTracks);\n }\n if (allTracks.length >= 6) {\n renderCombined(allTracks, allTracks);\n }\n const selectedTwo = [allTracks[0], allTracks[1]];\n renderCombined(selectedTwo, allTracks);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('aggregate-complete'));\n }\n });\n\n btnEvolution?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('evolution');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n const onSelectCb = (trackId: string, range: [number, number] | null) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n };\n\n // Exercise evolution view across different reference tracks, groupings ('month' & 'week'), time ranges, and pinned durations\n const refTracks = [allTracks[2] || primaryTrack, allTracks[4] || primaryTrack, primaryTrack];\n for (const refTrk of refTracks) {\n renderEvolution(refTrk, allTracks, onSelectCb);\n setEvolutionGrouping('month');\n for (const rng of ['1m', '2m', '6m', '1y', 'all']) {\n setEvolutionRange(rng);\n }\n setEvolutionGrouping('week');\n for (const dur of [5, 30, 60, 300, 1200, null]) {\n setEvolutionPinnedDuration(dur);\n }\n }\n } finally {\n window.dispatchEvent(new CustomEvent('evolution-complete'));\n }\n });\n\n btnCourses?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('courses');\n prepareBenchmarkCourses(allTracks);\n const courseIds = getBenchmarkCourseIds();\n for (const cId of courseIds) {\n selectCourse(cId, true);\n }\n selectCourse('course-1', true);\n } finally {\n window.dispatchEvent(new CustomEvent('courses-complete'));\n }\n });\n\n (window as any).benchmarkSteps = {\n loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(),\n displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(),\n displayInsights: () => document.getElementById('btn-step-insights')?.click(),\n displayDetails: () => document.getElementById('btn-step-details')?.click(),\n displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(),\n displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(),\n displayCourses: () => document.getElementById('btn-step-courses')?.click(),\n };\n}\n\nasync function processAndLoadTrack(t: TrackData) {\n // Migration: re-calculate stats if new insights are missing or old format\n const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : [];\n\n const needsEnrich =\n t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined);\n\n const needsRecalc =\n needsEnrich ||\n !t.stats.powerCurve ||\n !t.stats.hrZones ||\n !t.stats.hrCurve ||\n t.stats.shifts === undefined ||\n t.stats.avgBattery === undefined ||\n t.stats.avgTemp === undefined ||\n (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') ||\n ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]);\n\n if (needsRecalc) {\n if (needsEnrich) t.points = Parsers.enrichPoints(t.points);\n t.stats = Parsers.computeStats(t.points);\n await Storage.save(t);\n }\n\n tracks[t.id] = t;\n colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1);\n MapView.addTrack(t);\n MapView.setTrackVisible(t.id, t.visible && !t._filtered);\n renderTrackList(); // Progressive list update\n}\n\nfunction initResizeHandle() {\n const handle = document.getElementById('resize-handle');\n const panel = document.getElementById('chart-panel');\n if (!handle || !panel) return;\n\n let isDragging = false;\n\n handle.addEventListener('mousedown', () => {\n isDragging = true;\n document.body.style.cursor = 'ns-resize';\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const h = window.innerHeight - e.clientY;\n const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h));\n panel.style.height = `${clampedH}px`;\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n document.body.style.cursor = '';\n });\n}\n\nfunction initSidebarResizer() {\n const resizer = document.getElementById('sidebar-resizer');\n const sidebar = document.getElementById('sidebar');\n if (!resizer || !sidebar) return;\n\n let isDragging = false;\n\n resizer.addEventListener('mousedown', () => {\n isDragging = true;\n resizer.classList.add('dragging');\n document.body.classList.add('dragging-sidebar');\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const w = e.clientX;\n const clampedW = Math.max(200, Math.min(600, w));\n sidebar.style.width = `${clampedW}px`;\n sidebar.style.setProperty('--sidebar-w', `${clampedW}px`);\n ChartView.resize();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n resizer.classList.remove('dragging');\n document.body.classList.remove('dragging-sidebar');\n });\n}\n\n// \u2500\u2500 Event Handlers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nfunction onMapMove(lat: number, lng: number, zoom: number) {\n UrlState.patch({ map_pos: [lat, lng, zoom] });\n}\n\nfunction onMapPointClick(id: string, idx: number) {\n selectTrack(id, false);\n ChartView.setCursorAt(idx);\n}\n\nfunction onMapDblClick() {\n // MapView.fitAll();\n}\n\nfunction onChartCursorMove(pt: TrackPoint | null) {\n if (pt && pt.lat != null && pt.lon != null) {\n MapView.showCursorAt(pt.lat, pt.lon);\n if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true);\n } else {\n MapView.hideCursor();\n }\n}\n\nfunction onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) {\n if (!selectedId || !tracks[selectedId]) return;\n const t = tracks[selectedId];\n\n if (min === null || max === null) {\n MapView.clearHighlight();\n if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n UrlState.patch({ sel: null });\n return;\n }\n\n // Find point indices\n const pts = t.points;\n let iMin = 0,\n iMax = pts.length - 1;\n\n if (axis === 'distance') {\n const d0 = min * 1000,\n d1 = max * 1000;\n iMin = pts.findIndex((p) => (p.dist || 0) >= d0);\n iMax = pts.findIndex((p) => (p.dist || 0) >= d1);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const ts0 = t0 + min * 1000,\n ts1 = t0 + max * 1000;\n iMin = pts.findIndex((p) => (p.time || 0) >= ts0);\n iMax = pts.findIndex((p) => (p.time || 0) >= ts1);\n }\n\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = pts.length - 1;\n\n // Compute selection stats\n const selPts = pts.slice(iMin, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n\n MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n UrlState.patch({ sel: [min, max] });\n}\n\nfunction onChartClick(pt: TrackPoint, idx: number) {\n if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL);\n}\n\nexport function selectTrack(id: string, fit = true, deferChartRender = false) {\n if (!tracks[id]) return;\n if (id === selectedId) {\n if (fit) MapView.fitTrack(id);\n return;\n }\n\n const hadSelected = selectedId !== null;\n if (hadSelected) {\n // Clear current views immediately before loading new data\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n }\n\n selectedId = id;\n\n // Fully reset metric coloring when switching tracks\n currentMapColors = null;\n MapView.clearMetricColor(id);\n if (hadSelected) {\n ChartView.toggleMapColor(null); // Ensure ChartView state also resets\n }\n\n // Clear selection on new track\n UrlState.patch({ track: id, sel: null }, true);\n if (hadSelected) {\n ChartView.cancelSelection();\n }\n\n // Update UI immediately\n renderTrackList();\n\n // Render details\n const activeTab = UrlState.get().tab || 'graphs';\n if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags());\n if (activeTab === 'insights') renderInsights(tracks[id]);\n if (activeTab === 'combined') renderCombined(tracks[id]);\n if (activeTab === 'courses') renderCourses();\n if (activeTab === 'evolution') {\n renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n\n // Tell sub-views\n MapView.setSelectedTrack(id, fit);\n if (fit) MapView.fitTrack(id);\n ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender);\n}\n\nasync function deleteTrack(id: string) {\n await Storage.remove(id);\n MapView.removeTrack(id);\n delete tracks[id];\n if (selectedId === id) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n UrlState.patch({ track: null, sel: null, sel_point: null });\n }\n applyFilters();\n}\n\nasync function clearAll() {\n const code = Math.floor(10 + Math.random() * 90).toString();\n\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n backdrop.innerHTML = `\n
\n
Delete all tracks?
\n
\n This will permanently remove all tracks from your browser storage. This action cannot be undone.\n
\n
\n
Enter \"${code}\" to confirm:
\n \n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const input = backdrop.querySelector('.modal-input') as HTMLInputElement;\n const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement;\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n\n input.focus();\n\n input.addEventListener('input', () => {\n btnConfirm.disabled = input.value !== code;\n });\n\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n\n btnConfirm.addEventListener('click', async () => {\n if (input.value !== code) return;\n close();\n\n cancelProcessing = true;\n await Storage.clear();\n\n tracks = {};\n selectedId = null;\n MapView.clearHighlight();\n window.location.reload();\n });\n}\n\nfunction applyFilters(skipRender = false) {\n const ids = Object.keys(tracks);\n ids.forEach((id) => {\n const t = tracks[id];\n const s = t.stats;\n let visible = true;\n\n // Search query\n if (searchQuery) {\n if (searchRegex) {\n try {\n const re = new RegExp(searchQuery, 'i');\n if (!re.test(t.name)) visible = false;\n } catch (e) {\n visible = false;\n }\n } else {\n if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false;\n }\n }\n\n // Date filter\n if (visible && (filters.date[0] || filters.date[1])) {\n const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0;\n const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity;\n const t0 = s.startTime || 0;\n if (t0 < start || t0 > end) visible = false;\n }\n\n // Distance filter\n if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) {\n const min = (filters.dist[0] || 0) * 1000;\n const max = (filters.dist[1] || Infinity) * 1000;\n if (s.totalDist < min || s.totalDist > max) visible = false;\n }\n\n // Duration filter\n if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) {\n const min = (filters.dur[0] || 0) * 60000;\n const max = (filters.dur[1] || Infinity) * 60000;\n const d = s.duration || 0;\n if (d < min || d > max) visible = false;\n }\n\n // Metrics filter\n if (visible && filters.metrics.size > 0) {\n for (const m of filters.metrics) {\n const field = ChartView.METRICS[m].field;\n if (!t.points.some((p: any) => p[field] != null)) {\n visible = false;\n break;\n }\n }\n }\n\n // Sport filter\n if (visible && filters.sport) {\n if (t.sport !== filters.sport) visible = false;\n }\n\n // Tags filter\n if (visible && filters.tags.length > 0) {\n const trackTags = t.tags || [];\n if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false;\n }\n\n t._filtered = !visible;\n MapView.setTrackVisible(t.id, t.visible && visible);\n });\n\n if (!skipRender) renderTrackList();\n}\n\nfunction updateFilterUI() {\n (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || '';\n (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || '';\n (document.getElementById('filter-dist-min') as HTMLInputElement).value =\n filters.dist[0] !== null ? String(filters.dist[0]) : '';\n (document.getElementById('filter-dist-max') as HTMLInputElement).value =\n filters.dist[1] !== null ? String(filters.dist[1]) : '';\n (document.getElementById('filter-dur-min') as HTMLInputElement).value =\n filters.dur[0] !== null ? String(filters.dur[0]) : '';\n (document.getElementById('filter-dur-max') as HTMLInputElement).value =\n filters.dur[1] !== null ? String(filters.dur[1]) : '';\n (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', ');\n\n document\n .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item')\n .forEach((el) => {\n const item = el as HTMLElement;\n item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || ''));\n });\n\n document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => {\n const btn = el as HTMLElement;\n btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!));\n });\n\n const activeCount =\n (filters.date[0] ? 1 : 0) +\n (filters.date[1] ? 1 : 0) +\n (filters.dist[0] !== null ? 1 : 0) +\n (filters.dist[1] !== null ? 1 : 0) +\n (filters.dur[0] !== null ? 1 : 0) +\n (filters.dur[1] !== null ? 1 : 0) +\n filters.metrics.size +\n (filters.tags.length > 0 ? 1 : 0);\n\n const badge = document.querySelector('#btn-toggle-filters .btn-badge');\n if (badge) {\n badge.textContent = activeCount > 0 ? String(activeCount) : '';\n badge.classList.toggle('hidden', activeCount === 0);\n }\n}\n\nfunction updateSearchSortUI() {\n const searchInput = document.getElementById('track-search') as HTMLInputElement;\n if (searchInput) searchInput.value = searchQuery;\n document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex);\n\n const opt = SORT_OPTIONS.find((o) => o.val === currentSort);\n if (opt) {\n const labelEl = document.getElementById('sort-current-label');\n const iconEl = document.getElementById('sort-current-icon');\n if (labelEl)\n labelEl.textContent = opt.label\n .replace(' first', '')\n .replace(' distance', '')\n .replace(' duration', '');\n if (iconEl) iconEl.textContent = opt.icon;\n }\n}\n\nfunction applyState(urlState: AppState) {\n // Restore track\n const newTrackId = urlState.track;\n if (newTrackId !== selectedId) {\n if (newTrackId && tracks[newTrackId]) {\n selectTrack(newTrackId, true);\n } else if (!newTrackId && selectedId) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n renderTrackList();\n MapView.fitAll();\n }\n }\n\n // Restore basemap\n if (urlState.map && typeof urlState.map === 'string') {\n MapView.switchBasemap(urlState.map);\n document\n .querySelectorAll('.bm-btn')\n .forEach((b) =>\n b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map),\n );\n }\n\n // Restore map position\n if (urlState.map_pos) {\n const [lat, lng, zoom] = urlState.map_pos;\n MapView.setPosition(lat, lng, zoom);\n }\n\n // Restore tab\n if (urlState.tab) {\n document.querySelectorAll('.tab-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n if (b.dataset.tab === urlState.tab) {\n if (!b.classList.contains('active')) b.click();\n }\n });\n }\n\n // Restore x-axis mode\n if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis);\n\n const currentXAxis = urlState.xaxis || 'time';\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis));\n\n // Restore active metrics\n if (urlState.metrics) {\n const metrics = ChartView.METRICS;\n const keys = urlState.metrics\n .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr))\n .filter((k): k is string => k !== undefined);\n if (keys.length) ChartView.setActiveMetrics(keys);\n }\n\n // Restore filters\n if (urlState.f_date)\n filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null];\n if (urlState.f_dist)\n filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_dur)\n filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets);\n if (urlState.f_tags) filters.tags = urlState.f_tags;\n\n updateFilterUI();\n\n if (urlState.q) searchQuery = urlState.q;\n if (urlState.re) searchRegex = urlState.re;\n if (urlState.sort) currentSort = urlState.sort;\n updateSearchSortUI();\n\n applyFilters();\n}\n\nfunction updateSportFilterOptions() {\n const container = document.getElementById('sport-filter-container');\n if (!container) return;\n\n const commonContainer = document.getElementById('common-sports');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n if (!commonContainer || !dropdownContent) return;\n\n const sports = new Set();\n Object.values(tracks).forEach((t) => {\n if (t.sport) sports.add(t.sport);\n });\n\n const sportsArray = Array.from(sports).sort();\n const burgerDropdown = document.getElementById('sport-burger-dropdown');\n\n commonContainer.innerHTML = '';\n dropdownContent.innerHTML = '';\n\n if (sportsArray.length <= 4) {\n if (burgerDropdown) burgerDropdown.style.display = 'none';\n\n sportsArray.forEach((sport) => {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n });\n } else {\n if (burgerDropdown) burgerDropdown.style.display = 'inline-block';\n\n const commonSports = ['running', 'cycling', 'walking'];\n\n commonSports.forEach((sport) => {\n if (sports.has(sport)) {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n }\n });\n\n sportsArray.forEach((sport) => {\n const item = document.createElement('div');\n item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`;\n item.dataset.sport = sport;\n item.style.padding = '8px';\n item.style.cursor = 'pointer';\n item.style.display = 'flex';\n item.style.alignItems = 'center';\n item.style.gap = '8px';\n item.innerHTML = `\n ${getSportIcon(sport)}\n ${sport.charAt(0).toUpperCase() + sport.slice(1)}\n `;\n dropdownContent.appendChild(item);\n });\n }\n}\n\nfunction renderTrackList() {\n updateSportFilterOptions();\n const list = document.getElementById('track-list');\n const emptyEl = document.getElementById('track-list-empty') as HTMLElement;\n const headerLabel = document.querySelector('.section-label');\n if (!list) return;\n\n const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered);\n if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`;\n\n if (!ids.length) {\n list.innerHTML = '';\n if (emptyEl) {\n list.appendChild(emptyEl);\n emptyEl.style.display = 'block';\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n list.innerHTML = '';\n\n ids\n .sort((a, b) => {\n // Current selected always first\n if (a === selectedId) return -1;\n if (b === selectedId) return 1;\n\n const ta = tracks[a],\n tb = tracks[b];\n const sa = ta.stats,\n sb = tb.stats;\n\n let cmp = 0;\n switch (currentSort) {\n case 'date-asc':\n cmp = (sa.startTime || 0) - (sb.startTime || 0);\n break;\n case 'date-desc':\n cmp = (sb.startTime || 0) - (sa.startTime || 0);\n break;\n case 'dist-asc':\n cmp = (sa.totalDist || 0) - (sb.totalDist || 0);\n break;\n case 'dist-desc':\n cmp = (sb.totalDist || 0) - (sa.totalDist || 0);\n break;\n case 'dur-asc':\n cmp = (sa.duration || 0) - (sb.duration || 0);\n break;\n case 'dur-desc':\n cmp = (sb.duration || 0) - (sa.duration || 0);\n break;\n default:\n cmp = 0;\n }\n return cmp || a.localeCompare(b);\n })\n .forEach((id) => {\n list.appendChild(buildTrackItem(tracks[id]));\n });\n}\n\nfunction getGlobalTags(): string[] {\n const all = new Set();\n Object.values(tracks).forEach((t) => {\n (t.tags || []).forEach((tag) => all.add(tag));\n });\n return Array.from(all).sort();\n}\n\nfunction getSportIcon(sport: string | null): string {\n if (!sport) return 'category';\n const s = sport.toLowerCase();\n if (s.includes('run')) return 'directions_run';\n if (s.includes('cycl') || s.includes('bike')) return 'directions_bike';\n if (s.includes('walk')) return 'directions_walk';\n if (s.includes('swim')) return 'pool';\n if (s.includes('hik')) return 'hiking';\n return 'sports';\n}\n\nfunction buildTrackItem(track: TrackData) {\n const item = document.createElement('div');\n item.className = `track-item${track.id === selectedId ? ' selected' : ''}`;\n item.dataset.id = track.id;\n\n const date =\n track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date';\n\n const tagsHtml =\n (track.tags || []).length > 0\n ? `
${(track.tags || [])\n .map((t) => {\n const c = getTagColor(t);\n return `${escHtml(t)}`;\n })\n .join('')}
`\n : '';\n\n item.innerHTML = `\n
\n
\n
${escHtml(track.displayName || track.name)}
\n
\n
\n ${date}\n ${Math.round(track.stats.totalDist / 1000)} km\n ${track.sport ? `${getSportIcon(track.sport)}` : ''}\n ${track.format.toUpperCase()}\n
\n \n
\n ${tagsHtml}\n
\n `;\n\n item.addEventListener('click', (e) => {\n if ((e.target as HTMLElement).closest('.icon-btn')) return;\n selectTrack(track.id);\n });\n\n const btnVis = item.querySelector('.toggle-vis') as HTMLElement;\n btnVis.addEventListener('click', () => {\n track.visible = !track.visible;\n btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible\n ? 'visibility'\n : 'visibility_off';\n MapView.setTrackVisible(track.id, track.visible);\n Storage.save(track);\n });\n\n return item;\n}\n\nfunction showToast(msg: string, type: 'info' | 'error' = 'info') {\n const container = document.getElementById('toast-container');\n if (!container) return;\n container.innerHTML = '';\n const t = document.createElement('div');\n t.className = `toast ${type}`;\n t.textContent = msg;\n container.appendChild(t);\n}\n\nfunction showSkippedImportsModal() {\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n let listHtml = '';\n skippedImports.forEach((s) => {\n listHtml += `
${s.name}: ${s.reason}
`;\n });\n\n backdrop.innerHTML = `\n
\n
Skipped Imports
\n
\n ${listHtml || '
No skipped imports.
'}\n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n const btnClear = backdrop.querySelector('.modal-btn.clear') as HTMLButtonElement;\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n btnClear.addEventListener('click', () => {\n skippedImports = [];\n close();\n const importWarning = document.getElementById('import-warning');\n if (importWarning) importWarning.classList.add('hidden');\n });\n\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n}\n\nfunction initDropZone() {\n const zone = document.getElementById('drop-zone');\n if (!zone) return;\n\n const importWarning = document.getElementById('import-warning');\n if (importWarning) {\n importWarning.addEventListener('click', (e) => {\n e.stopPropagation();\n showSkippedImportsModal();\n });\n }\n\n window.addEventListener('dragover', (e) => {\n e.preventDefault();\n zone.classList.add('drop-active');\n });\n\n window.addEventListener('dragleave', (e) => {\n if (e.relatedTarget === null) zone.classList.remove('drop-active');\n });\n\n window.addEventListener('drop', async (e) => {\n e.preventDefault();\n zone.classList.remove('drop-active');\n\n const items = e.dataTransfer?.items;\n if (!items) return;\n\n const files: File[] = [];\n const queue: FileSystemEntry[] = [];\n\n for (let i = 0; i < items.length; i++) {\n const entry = items[i].webkitGetAsEntry();\n if (entry) queue.push(entry);\n }\n\n async function readAllEntries(entry: FileSystemEntry) {\n if (entry.isFile) {\n const file = await new Promise((res) => (entry as FileSystemFileEntry).file(res));\n files.push(file);\n } else if (entry.isDirectory) {\n const reader = (entry as FileSystemDirectoryEntry).createReader();\n let entries: FileSystemEntry[] = [];\n let chunk: FileSystemEntry[];\n do {\n chunk = await new Promise((res) => reader.readEntries(res));\n entries.push(...chunk);\n } while (chunk.length > 0);\n\n for (const child of entries) await readAllEntries(child);\n }\n }\n\n for (const entry of queue) await readAllEntries(entry);\n\n if (files.length) handleFiles(files);\n });\n}\n\nasync function handleFiles(files: File[]) {\n if (!files.length) return;\n cancelProcessing = false;\n const initialSkipCount = skippedImports.length;\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const loaderClose = document.getElementById('loader-close');\n\n if (loaderClose) {\n loaderClose.addEventListener('click', () => {\n cancelProcessing = true;\n if (loader) loader.classList.add('hidden');\n });\n }\n\n function updateLoaderIconToWarning() {\n const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement;\n if (loaderIcon) {\n loaderIcon.textContent = 'warning';\n loaderIcon.style.color = '#f59e0b';\n }\n const warningCount = document.getElementById('loader-warning-count');\n if (warningCount) {\n const count = skippedImports.length - initialSkipCount;\n const countSpan = warningCount.querySelector('span');\n if (countSpan) countSpan.textContent = `${count}`;\n warningCount.style.display = 'flex';\n }\n }\n\n if (loader) {\n if (loaderText)\n loaderText.textContent = `Importing ${files.length} file${files.length > 1 ? 's' : ''}`;\n const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement;\n if (loaderIcon) {\n loaderIcon.textContent = 'download';\n loaderIcon.style.color = 'var(--accent)';\n }\n const warningCount = document.getElementById('loader-warning-count');\n if (warningCount) {\n warningCount.style.display = 'none';\n const countSpan = warningCount.querySelector('span');\n if (countSpan) countSpan.textContent = '0';\n }\n if (loaderSubtext) loaderSubtext.textContent = '';\n if (progressBar) progressBar.style.width = '0%';\n loader.classList.remove('hidden');\n\n if (skippedImports.length > initialSkipCount) updateLoaderIconToWarning();\n }\n\n try {\n let count = 0;\n let firstId: string | null = null;\n let processedSinceLastUpdate = 0;\n\n // Filter out obviously invalid files early\n const validFiles = files.filter((f) => {\n const name = f.name.toLowerCase();\n return (\n name.endsWith('.gpx') ||\n name.endsWith('.fit') ||\n name.endsWith('.tcx') ||\n name.endsWith('.kml')\n );\n });\n\n const invalidFiles = files.filter((f) => !validFiles.includes(f));\n invalidFiles.forEach((f) => {\n skippedImports.push({ name: f.name, reason: 'Unsupported file format' });\n });\n\n if (validFiles.length === 0) {\n if (files.length > 0) {\n showToast('No valid GPS files found', 'error');\n // Still update warning icon if there were invalid files!\n const importWarning = document.getElementById('import-warning');\n if (importWarning && skippedImports.length > 0) {\n importWarning.classList.remove('hidden');\n importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`;\n }\n }\n return;\n }\n\n const loaderFilename = document.getElementById('loader-filename');\n let progressIdxEl: HTMLElement | null = null;\n if (loaderSubtext) {\n loaderSubtext.innerHTML =\n '';\n progressIdxEl = loaderSubtext.querySelector('.progress-index') as HTMLElement | null;\n const totalEl = loaderSubtext.querySelector('.progress-total');\n if (totalEl) totalEl.textContent = validFiles.length.toString();\n }\n\n for (let i = 0; i < validFiles.length; i++) {\n if (cancelProcessing) break;\n const f = validFiles[i];\n if (loaderFilename) loaderFilename.textContent = f.name;\n if (progressIdxEl) progressIdxEl.textContent = (i + 1).toString();\n if (progressBar) progressBar.style.width = `${(i / validFiles.length) * 100}%`;\n\n try {\n const data = await Parsers.parseFile(f);\n\n // Duplicate checks\n const existingTracks = Object.values(tracks);\n\n // Rule 1: Same file and same size\n const sameFile = existingTracks.find((t) => t.fileName === f.name && t.fileSize === f.size);\n if (sameFile) {\n skippedImports.push({ name: f.name, reason: 'Same File' });\n updateLoaderIconToWarning();\n continue;\n }\n\n // Rule 2 & 3: Same start day checks\n const newStart = data.stats.startTime;\n const newDuration = data.stats.duration;\n\n if (newStart != null && newDuration != null) {\n const newEnd = newStart + newDuration;\n const sameDayTracks = existingTracks.filter(\n (t) => t.stats.startTime != null && isSameDay(newStart, t.stats.startTime!),\n );\n\n let discarded = false;\n for (const ext of sameDayTracks) {\n const extStart = ext.stats.startTime!;\n const extDuration = ext.stats.duration!;\n const extEnd = extStart + extDuration;\n\n // Rule 2: Fully contained\n if (newStart >= extStart && newEnd <= extEnd) {\n skippedImports.push({ name: f.name, reason: 'Fully contained in another track' });\n updateLoaderIconToWarning();\n discarded = true;\n break;\n }\n\n // Rule 3: Overlaps for > 10 mins\n const overlap = Math.min(newEnd, extEnd) - Math.max(newStart, extStart);\n if (overlap > 600000) {\n // 10 mins in ms\n skippedImports.push({\n name: f.name,\n reason: 'Overlaps with an existing track for more than 10 mins',\n });\n updateLoaderIconToWarning();\n discarded = true;\n break;\n }\n }\n if (discarded) continue;\n }\n\n const fallbackTime = 1785542400000;\n let id = compactId(data.stats.startTime || fallbackTime);\n if (tracks[id]) id += `-${shortRandom()}`;\n\n // Use filename as activity name if internal name is generic\n let trackName = data.name;\n if (trackName.startsWith('Unnamed') || trackName.startsWith('Fit Activity'))\n trackName = f.name;\n\n // Generate a nice display name\n let displayName = trackName;\n const t0 = data.points[0]?.time;\n const sport = data.sport\n ? data.sport.charAt(0).toUpperCase() + data.sport.slice(1)\n : 'Activity';\n if (t0) {\n const d = new Date(t0);\n displayName = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')} ${sport}`;\n } else {\n displayName = trackName.replace(/\\.[^/.]+$/, '').replace(/_/g, ' '); // Remove extension and replace underscores\n }\n\n const track: TrackData = {\n ...data,\n id,\n name: trackName,\n displayName,\n fileName: f.name,\n fileSize: f.size,\n bounds: calculateBounds(data.points) || undefined,\n simplifiedPoints: simplifyTrack(data.points, 50), // 50m resolution\n addedAt: data.stats.startTime || fallbackTime,\n visible: true,\n color: TRACK_COLORS[colorIdx % TRACK_COLORS.length],\n };\n colorIdx++;\n if (cancelProcessing) break;\n\n await Storage.save(track);\n tracks[id] = track;\n MapView.addTrack(track);\n if (!firstId) firstId = id;\n count++;\n processedSinceLastUpdate++;\n\n if (processedSinceLastUpdate >= 5) {\n processedSinceLastUpdate = 0;\n }\n } catch (err) {\n skippedImports.push({\n name: f.name,\n reason: `Parse error: ${err instanceof Error ? err.message : String(err)}`,\n });\n updateLoaderIconToWarning();\n }\n }\n\n // Update warning icon\n const importWarning = document.getElementById('import-warning');\n if (importWarning) {\n if (skippedImports.length > 0) {\n importWarning.classList.remove('hidden');\n importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`;\n } else {\n importWarning.classList.add('hidden');\n }\n }\n\n const newWarnings = skippedImports.length > initialSkipCount;\n if (!newWarnings && loader) {\n loader.classList.add('hidden');\n }\n\n if (count > 0) {\n showToast(`Imported ${count} track${count > 1 ? 's' : ''}`);\n applyFilters(!!firstId && firstId !== selectedId);\n if (firstId) selectTrack(firstId);\n }\n\n if (newWarnings) {\n const loaderIcon = document.querySelector('.loader-icon-wrap span');\n if (loaderIcon) loaderIcon.textContent = 'warning';\n // Delay hiding loader to let user see the alert icon\n await new Promise((r) => setTimeout(r, 1500));\n }\n } finally {\n if (loader) loader.classList.add('hidden');\n }\n}\n\nfunction initMetricPillDraggable() {\n const container = document.getElementById('metric-pills');\n if (!container) return;\n\n let draggedEl: HTMLElement | null = null;\n\n container.addEventListener('dragstart', (e) => {\n const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (!target) return;\n draggedEl = target;\n e.dataTransfer!.effectAllowed = 'move';\n target.classList.add('dragging-pill');\n // For transparent background in ghost image\n setTimeout(() => (target.style.opacity = '0.4'), 0);\n });\n\n container.addEventListener('dragover', (e) => {\n e.preventDefault();\n e.dataTransfer!.dropEffect = 'move';\n const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (target && target !== draggedEl) {\n const rect = target.getBoundingClientRect();\n const next = e.clientX - rect.left > rect.width / 2;\n container.insertBefore(draggedEl!, next ? target.nextSibling : target);\n }\n });\n\n container.addEventListener('dragend', () => {\n if (!draggedEl) return;\n draggedEl.classList.remove('dragging-pill');\n draggedEl.style.opacity = '';\n draggedEl = null;\n\n // Update Chart order\n const keys = Array.from(container.querySelectorAll('.metric-pill')).map(\n (el) => (el as HTMLElement).dataset.metric!,\n );\n ChartView.updateMetricOrder(keys);\n syncMetricsToUrl();\n });\n}\n\nfunction updateToolbarLayout() {\n const toolbar = document.getElementById('chart-toolbar');\n const pills = document.getElementById('metric-pills');\n if (!toolbar || !pills) return;\n\n toolbar.classList.remove('collapsed');\n const availableW = Math.max(0, toolbar.clientWidth - 280);\n let totalW = 0;\n let hidden = false;\n\n Array.from(pills.children).forEach((el) => {\n const htmlEl = el as HTMLElement;\n if (htmlEl.id === 'pill-overflow') return;\n\n htmlEl.classList.remove('overflow-hidden');\n if (!htmlEl.classList.contains('active')) return;\n const metricKey = htmlEl.dataset.metric || '';\n const deterministicPillWidth = 36 + metricKey.length * 6;\n totalW += deterministicPillWidth + 6;\n\n if (totalW > availableW) {\n hidden = true;\n htmlEl.classList.add('overflow-hidden');\n }\n });\n\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.toggle('hidden', !hidden);\n\n if (hidden) toolbar.classList.add('collapsed');\n}\n\ndocument.addEventListener('DOMContentLoaded', init);\n"], + "mappings": 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"drawYAxisHighlight", "hIdx", "hasPinned", "hasHover", "cy", "drawVerticalLineOnly", "hexToRgba", "ctx", "dpr", "bb", "ax", "fontSize", "fontStr", "tw", "visibleL", "visibleR", "padH", "padV", "bw", "bh", "bx", "by", "drawXAxisLabels", "showHover", "updateTooltip", "binI", "other", "left", "width", "overlay", "selFill", "anchorLine", "anchorLabel", "anchorHandle", "anchorMarker", "endLine", "endLabel", "endHandle", "endMarker", "curYVal", "pinYVal", "self", "attachHandleDrag", "mousedownX", "rect", "attachHistTooltip", "aX", "eX", "overW", "overH", "plotBottom", "isAnchorVisible", "isEndVisible", "fillL", "fillR", "aText", "fmtXVal", "aLabelW", "aIcon", "eText", "eLabelW", "eIcon", "handleEl", "isAnchor", "startX", "startVal", "pxPerUnit", "onMove", "me", "dx", "newVal", "onUp", "BINS", "lo", "hi", "cnt", "bins", "binAccum", "k", "bi", "prev", "next", "canvas", "chartH", "hoverBinI", "hasSel", "selBins", "selBinAccum", "x", "W", "H", "peak", "pad", "plotW", "plotH", "binY", "binH", "baseAlpha", "total", "pts2", "cumSum", "my", "cp", "font9", "avgY", "minLabelY", "maxLabelY", "labelHeight", "countLower", "countHigher", "pLower", "pHigher", "font8", "textY", "fontB10", "midX", "getBinAt", "lineEl", "relY", "rawI", "count", "pct", "low", "high", "zoneHtml", "mid", "zones", "Zones", "zIdx", "z", "finalZIdx", "totalAccum", "totalPct", "html", "stotalAccum", "stotalPct", "ttH", "ttW", "binCenterY", "sum", "n", "gain", "loss", "prevEle", "isDist", "diff", "cx", "gColor", "g", "p0", "p1", "content", "front", "rear", "color44", "gradientColorRgbaCache", "gradientColorRgba", "yMin", "yMax", "xScale", "yScale", "yBase", "idxs", "iStart", "iEnd", "byColor", "prevIdx", "xv1", "xv0", "x0", "y0", "x1", "y1", "color", "segs", "j", "drawHoverLine", "xVal", "opacity", "skipLine", "distVal", "timeVal", "bottomLabel", "topLabel", "drawPill", "text", "y", "isTop", "rx", "clampedRx", "ry", "pillH", "yVal", "cyClamp", "drawAreaFillAbove", "yDir", "yMult", "inSegment", "hasAnySegment", "lastPx", "xv", "yv", "px", "py", "ah", "ar", "ag", "ab", "br", "bg", "rr", "rg", "rb", "absG", "kmh", "windowMetres", "grads", "j0", "j1", "data", "res", "right", "getAvg", "avgSpeed", "avgPower", "avgCadence", "INTERVAL_CAP", "ivPwr", "ivHr", "ivSpd", "ivEle", "ivCad", "ivSmoothed", "ivKdeBins", "intervalWindows", "analyzeTelemetryIntervals", "tracksList", "selStartSec", "selEndSec", "intervalScore", "ti", "sStart", "sEnd", "inv35", "invSigmaSq", "omega", "sgPwr", "sgHr", "sgSpd", "dP", "gauss", "harmonic", "sectionRanges", "si", "secStart", "secEnd", "secLen", "wi", "invW", "winSum", "winEle", "maxInterval", "avg", "norm", "newActive", "isStepped", "c", "drawBackgroundTracks", "GAP_THRESHOLD", "field", "first", "prevP", "prevXVal", "lastFrontGear", "fMin", "fMax", "fg", "rMin", "rMax", "isTimeAxis", "gapSec", "prevDrawnI", "prevX", "prevY", "segmentColor", "prevXv", "SENSOR_ICONS", "Metrics", "onTagsChangeCb", "onDeleteTrackCb", "initDetails", "onTagsChange", "onDeleteTrack", "resetDetails", "container", "DETAIL_CAP", "detailChannels", "stabilityWindows", "analyzeTrackDetails", "track", "allTracks", "pts", "stabilityAccum", "i", "p", "wi", "w", "invW", "halfW", "ci", "ch", "sum", "sumSq", "autoCov", "jitterSum", "invNoise", "v", "old", "mean", "variance", "lagVal", "diff", "diffSqNoise", "likelihood", "damp", "sections", "Parsers", "splitRows", "si", "sec", "st", "secPtsCount", "secJitter", "dp", "dh", "secStab", "fmtSecs", "gearMap", "fg", "rg", "key", "entry", "gearMatrix", "a", "b", "combo", "g", "cohort", "distRank", "pwrRank", "elevRank", "cohortPwrSum", "cohortDistSum", "ti", "peer", "cohortAvgPower", "cohortAvgDistKm", "renderDetails", "globalTags", "sectionRange", "activeTrack", "t0Base", "ts0", "ts1", "iMin", "iMax", "subPts", "subStats", "s", "t0", "detailAnalysis", "telemetryStabilityPct", "escHtml", "t", "fmtFileSize", "getSportIcon", "SPORTS", "fmtDateTime", "sensor", "gm", "sr", "seen", "d", "name", "manufacturer", "extra", "battery", "sourceIcon", "deviceIcon", "nameLower", "tagContainer", "tagInput", "addBtn", "renderTags", "tags", "tag", "c", "getTagColor", "el", "btn", "e", "Storage", "addTag", "val", "titleInput", "sportTrigger", "showSportMenu", "anchorEl", "popup", "def", "item", "isActive", "iconEl", "nameEl", "clearItem", "isClear", "rect", "closeHandler", "uPlot", "courses", "getCoursesForTrack", "track", "c", "pt", "passesPoint", "trackPt", "haversine", "activeCourseId", "isEditMode", "openCourseId", "toastFn", "courseLayer", "initCourses", "showToast", "toastFn", "loadCourses", "resetCourses", "courses", "activeCourseId", "openCourseId", "isEditMode", "container", "prepareBenchmarkCourses", "allTracks", "specs", "i", "spec", "t", "n", "pStart", "pMid", "pEnd", "getBenchmarkCourseIds", "c", "stored", "Storage", "e", "saveCourses", "calculateCourseDistance", "course", "total", "p1", "p2", "haversine", "findCourseRange", "track", "coursePoints", "currentPtIdx", "startIdx", "endIdx", "tp", "cp", "calculateCourseStats", "pts", "s", "startTime", "duration", "totalPower", "powerCount", "totalHR", "hrCount", "totalSpeed", "speedCount", "totalCadence", "cadenceCount", "totalAscent", "prev", "de", "dist", "formatDuration", "seconds", "h", "m", "renderCourseTableHeaders", "METRICS", "renderCourseTableCells", "stats", "sport", "dateStr", "paceUnit", "SPORTS", "paceStr", "paceSeconds", "fmtPace", "COURSE_CAP", "courseTrkLats", "courseTrkLons", "courseTrkPwrs", "courseGateLats", "courseGateLons", "DTW_SAMPLES", "DTW_BAND", "dtwRefProfile", "dtwCandProfile", "dtwPrevRow", "dtwCurrRow", "renderCourses", "corridorDeviationSum", "targetCourses", "candidateIds", "MapView", "p", "numGates", "g", "segFloat", "segIdx", "frac", "pA", "pB", "ci", "id", "pt", "gLat", "gLon", "minDist", "bestIdx", "d", "idx", "val", "jStart", "jEnd", "rVal", "j", "diff", "diffSq", "cost", "m1", "m2", "m3", "prevMin", "matchingIds", "isOpen", "tracksHtml", "matchedTracksWithStats", "range", "span", "q1Idx", "q2Idx", "q3Idx", "s1Stats", "s2Stats", "s3Stats", "s4Stats", "fmtDate", "a", "b", "UrlState", "escHtml", "createNewCourse", "el", "editCourse", "renameCourse", "deleteCourse", "selectCourse", "row", "trackId", "selectTrack", "t0", "sIdx", "eIdx", "tMin", "tMax", "axis", "ChartView", "selMin", "selMax", "name", "newCourse", "nameEl", "currentName", "input", "save", "newName", "clearCourseLayer", "courseLayer", "selectCourse", "id", "open", "activeCourseId", "openCourseId", "isEditMode", "MapView", "clearCourseLayer", "renderCourses", "deleteCourse", "courses", "c", "saveCourses", "toastFn", "insightPlots", "destroyInsightPlots", "p", "initInsights", "showToast", "resetInsights", "el", "container", "INSIGHT_CAP", "inPwrArr", "inHrArr", "inCadArr", "inSpdArr", "inVamArr", "inPrefixPwr", "inPrefixVam", "mmpDurations", "analyzeTrackPhysiology", "pts", "cpBase", "sections", "i", "pt", "h", "c", "sp", "gr", "vam", "envelopeChecksum", "di", "d", "limit", "maxP", "maxV", "j", "sumP", "sumV", "minWPrimeBal", "wBal", "matchesBurned", "inMatchBurn", "half", "efSum1", "efSum2", "qCounts", "thresholdCad", "thresholdTorque", "cad", "invH", "diff", "dcp", "dep", "tauDyn", "torque", "ef", "ef1", "ef2", "decouplingPct", "quadrantPct", "sectionPeaks", "sec", "st", "durHours", "renderInsights", "track", "allTracks", "sectionRange", "Parsers", "activeRange", "UrlState", "activePts", "s", "t0", "startMs", "endMs", "iMin", "iMax", "phys", "grid", "chartWidth", "renderCurveCard", "Metrics", "card", "metricKey", "color", "isMapColored", "ChartView", "totalTime", "a", "b", "zones", "Zones", "zonesHtml", "time", "z", "pct", "rangeText", "fmtSecs", "e", "current", "btn", "showPowerZoneSettings", "showHRZoneSettings", "climbingCard", "distKm", "grade", "effCard", "secCard", "escHtml", "trackCourses", "getCoursesForTrack", "coursesCard", "renderCourseTableHeaders", "range", "findCourseRange", "statsHtml", "stats", "calculateCourseStats", "startTime", "dateStr", "fmtDate", "renderCourseTableCells", "courseId", "selectCourse", "course", "MapView", "opts", "curve", "label", "unit", "icon", "tableWrap", "toggleBtn", "toggleIcon", "isHidden", "mapColorBtn", "key", "tbody", "durations", "entry", "val", "row", "fmtDuration", "startIdx", "duration", "endIdx", "tMin", "tMax", "chartEl", "xData", "yData", "curYVal", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "idx", "hasFocus", "mousePy", "pointPy", "cx", "cy", "durVal", "pcx", "pcy", "plot", "uPlot", "anchorEl", "popup", "rect", "inputs", "newZones", "Storage", "dismiss", "ftp", "input", "newFtp", "uPlot", "currentTracks", "currentTrack", "plot", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "playIntervalId", "isPolar", "updateSliderLabel", "sliderVal", "timeSecs", "fmtSecs", "resetCombined", "playIntervalId", "plot", "currentTracks", "currentTrack", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "isPolar", "tooltip", "container", "COMBINED_CAP", "combinedDensityGrid", "computeMultiTrackCorrelationAndSections", "allTracks", "matrixTracks", "numTrk", "pairs", "p", "aggPts", "corrSum", "correlations", "pi", "pair", "sumX", "sumY", "sumXX", "sumYY", "sumXY", "count", "t", "pts", "n", "k", "x", "y", "pw", "h", "cd", "bx", "by", "rVal", "slope", "meanX", "meanY", "varX", "varY", "covXY", "denom", "g", "sectionLabels", "sectionRows", "t1", "t2", "q", "fStart", "fEnd", "sliceStats", "trk", "sIdx", "eIdx", "pSum", "hSum", "spSum", "cnt", "i", "pt", "st1", "st2", "cohortPwrSum", "setCombinedMetrics", "xKey", "yKey", "renderCombined", "setCombinedPolar", "polar", "setCombinedSliderProgress", "fraction", "clamped", "maxLen", "slider", "updateSliderLabel", "trackOrTracks", "track", "metrics", "ChartView", "availableMetrics", "key", "def", "xDef", "yDef", "summaryHtml", "s1", "s2", "distDiff", "pwrDiff", "hrDiff", "eleDiff", "shiftsDiff", "totalDist", "totalElev", "totalDur", "avgPwr", "maxPwr", "avgHr", "maxHr", "tempDiff", "avgTemp", "maxTemp", "totalShifts", "fmtSecs", "sr", "c", "e", "showMenu", "sliderVal", "playBtn", "startPlaying", "stopPlaying", "updatePlot", "resizeCombined", "plotContainer", "w", "size", "anchorEl", "axis", "el", "popup", "item", "currentVal", "rect", "close", "xData", "seriesList", "dataArrays", "yArr", "width", "height", "opts", "uPlot", "t0", "chronoData", "idx", "d", "xVals", "yVals", "xMin", "xMax", "yMin", "yMax", "xVal", "yVal", "theta", "r", "px", "py", "a", "b", "yData", "hexToRgba", "u", "vals", "v", "seriesIdx", "dataIdx", "cursorLeft", "cursorTop", "minD2", "closestIdx", "cx", "cy", "dx", "dy", "d2", "ctx", "dpr", "started", "startIdx", "endIdx", "xVal1", "yVal1", "xVal2", "yVal2", "cx1", "cy1", "cx2", "cy2", "progress", "lineWidth", "alpha", "fillAlpha", "timeSecs", "distKm", "origX", "origY", "canvasRect", "originalIdx", "uPlot", "computeAccumulatedMetric", "allTracks", "extractor", "refTs", "i", "st", "now", "currentYear", "oneYearAgoMs", "sixMonthsAgoMs", "oneMonthAgoMs", "currentYearVal", "pastYearVal", "past6mVal", "past1mVal", "totalVal", "minTime", "t", "val", "time", "msecPerWeek", "currentYearStart", "currentYearWeeks", "pastYearWeeks", "past6mWeeks", "past1mWeeks", "totalWeeks", "renderAccumulatedTable", "accumulated", "isDistance", "unit", "factor", "format", "computeMultiMetricAccumulated", "distance", "elevation", "durationHours", "tss", "durSec", "avgPwr", "ftp", "intensityFactor", "workKj", "climbCount", "s", "renderAccumulatedProgressSummary", "summary", "fmt", "v", "digits", "r", "evolutionPlots", "activeEvolutionCards", "currentEvolutionGrouping", "destroyEvolutionPlots", "p", "resetEvolution", "container", "setEvolutionGrouping", "grouping", "c", "setEvolutionRange", "range", "UrlState", "toolbarRangeCtrl", "b", "setEvolutionPinnedDuration", "dur", "EVO_CAP", "evoPwrPrefix", "evoHrPrefix", "evoSpdPrefix", "evoStressArr", "evoDailyTrimp", "envelopeDurations", "renderEvolution", "currentTrack", "allTracks", "onTrackSelect", "onDateRangeSelect", "currentRange", "track", "Parsers", "totalFatigue", "totalFitness", "ti", "pts", "n", "i", "pw", "h", "sp", "el", "hrRatio", "di", "d", "limit", "maxP", "maxH", "j", "dh", "alphaA", "oneMinusA", "alphaC", "oneMinusC", "hrRest", "invHrSpan", "atl", "ctl", "kh", "trimp", "dayIdx", "atl365", "ctl365", "day", "load", "cards", "Metrics", "grid", "renderAccumulatedProgressSummary", "gridWidth", "progressSync", "uPlot", "renderProgressCard", "distanceScroll", "elevationScroll", "btn", "onRangeChange", "pill", "target", "onPinChange", "t", "card", "renderCurveEvolutionCard", "opts", "metricKey", "label", "unit", "color", "icon", "trackName", "mainChart", "cardContainer", "row1", "legendEl", "row2", "sideBySide", "chartEl", "maxCurve", "curve", "name", "date", "fmtDate", "trackInfo", "data", "val", "currentCurve", "allDurations", "durations", "a", "xData", "yDataCurrent", "entry", "yDataMax", "validTracks", "xTimeline", "yTimelineData", "currentDur", "tracksFiltered", "pinnedDur", "getFilteredData", "maxTime", "minTime", "filteredIndices", "idx", "xFiltered", "rawY", "rawYFiltered", "smoothedYFiltered", "gaussianSmooth", "timelineChart", "curYVal", "optsUPlot", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "fmtDuration", "pcx", "pcy", "curVal", "dotRadius", "dotColor", "activeSeriesIdx", "cursorLeft", "cursorTop", "minD2", "nearestIdx", "radius", "maxD2", "yCur", "yMax", "px", "py", "dx", "dy", "d2", "xValStr", "xbw", "pillH", "xLabelX", "clampedXBx", "xLabelY", "yValStr", "ybw", "yLabelX", "yLabelY", "cx", "cy", "durVal", "mxVal", "html", "lowerBound", "upperBound", "labelEl", "clickedDur", "newPinnedDur", "stats", "bestIdx", "duration", "startPt", "endPt", "trackStart", "min", "max", "detailsEl", "cur", "mx", "mxId", "mxIdx", "e", "id", "lastNearestIdx", "timelineEl", "timelineTooltip", "dataTimeline", "series", "optsTimeline", "ts", "tpcx", "tpcy", "tctx", "tdpr", "dateStr", "valStr", "yData", "y", "getWeekStart", "diff", "computeWeeklyDistance", "weeklyData", "weekStart", "weekKey", "week", "computeWeeklyElevation", "computeMonthlyDistance", "monthlyData", "monthStart", "monthKey", "computeMonthlyElevation", "type", "syncKey", "isDistance", "activeGrouping", "activeRange", "weeklySource", "monthlySource", "accumulated", "computeAccumulatedMetric", "renderAccumulatedTable", "yAxisEl", "tooltip", "yDataSmoothed", "chartClientW", "width", "maxVal", "mainOpts", "item", "start", "end", "startStr", "endStr", "self", "splits", "s", "scrollContainer", "applySeriesData", "filteredData", "newXData", "newYData", "newYDataSmoothed", "newWidth", "newMaxVal", "TRACK_COLORS", "POINT_ZOOM_LEVEL", "tracks", "skippedImports", "isSameDay", "t1", "t2", "d1", "d2", "cancelProcessing", "selectedId", "colorIdx", "followDot", "currentMapColors", "searchQuery", "searchRegex", "currentSort", "filters", "syncFiltersToUrl", "push", "UrlState", "v", "syncMetricsToUrl", "active", "ChartView", "metrics", "abbrs", "key", "SORT_OPTIONS", "showSortMenu", "anchorEl", "el", "popup", "opt", "item", "updateSearchSortUI", "renderTrackList", "rect", "close", "e", "showMetricMenu", "available", "def", "isNowActive", "pill", "updateToolbarLayout", "id", "idx", "dur", "selectTrack", "t", "pts", "pIdx", "t0", "p", "tMin", "tMax", "iMax", "selPts", "stats", "Parsers", "renderInsights", "MapView", "btn", "nav", "b", "tab", "panel", "c", "renderDetails", "getGlobalTags", "renderEvolution", "trackId", "range", "onChartRangeChange", "start", "end", "applyFilters", "updateFilterUI", "renderCombined", "renderCourses", "s", "resetBenchmarkState", "Storage", "resetCourses", "resetInsights", "resetDetails", "resetCombined", "resetEvolution", "toastContainer", "init", "fontTimerId", "fontTimeout", "resolve", "fontLoadPromise", "storageSelect", "selected", "params", "loader", "loaderText", "loaderSubtext", "progressBar", "mapLoader", "mapLoaderSpan", "urlState", "initInsights", "msg", "type", "showToast", "initDetails", "deleteTrack", "initCourses", "onMapMove", "onMapPointClick", "onMapDblClick", "onChartCursorMove", "onChartClick", "data", "currentUrlState", "applyState", "hrZones", "ftp", "saved", "a", "tracksToLoad", "updated", "calculateBounds", "simplifyTrack", "restoreId", "selectedTrackData", "processAndLoadTrack", "remaining", "index", "loadNextChunk", "initResizeHandle", "initSidebarResizer", "initMetricPillDraggable", "clearAll", "toggleMetric", "metric", "axis", "initDropZone", "handleFiles", "onFilterInput", "val", "burgerBtn", "dropdownContent", "isVisible", "target", "selectedSport", "m", "resizeCombined", "initBenchmarkTriggers", "preloadBenchmarkFiles", "readyEl", "camelReadyEl", "preloadedBenchmarkPayloads", "fileNames", "decoder", "name", "buf", "cleanName", "bytes", "ds", "stream", "text", "file", "warmSample", "parsed", "warmPts", "warmTrack", "warmTrack2", "warmList", "setCombinedPolar", "setCombinedSliderProgress", "setEvolutionGrouping", "setEvolutionRange", "setEvolutionPinnedDuration", "prepareBenchmarkCourses", "selectCourse", "r", "btnLoad", "btnAnalysis", "btnInsights", "btnDetails", "btnAggregate", "btnEvolution", "btnCourses", "activateTab", "tabName", "loadedFiles", "allTracks", "sortMode", "availableMetrics", "metricSets", "mSet", "filtered", "sections", "secStart", "secEnd", "cursorIdx", "primaryTrack", "tIdx", "trk", "globalTags", "i", "setCombinedMetrics", "frac", "selectedTwo", "onSelectCb", "refTracks", "refTrk", "rng", "courseIds", "getBenchmarkCourseIds", "cId", "powerCurveEntries", "needsEnrich", "handle", "isDragging", "h", "clampedH", "resizer", "sidebar", "w", "clampedW", "lat", "lng", "zoom", "pt", "min", "max", "fit", "iMin", "d0", "ts0", "ts1", "deferChartRender", "hadSelected", "activeTab", "code", "backdrop", "input", "btnConfirm", "btnCancel", "skipRender", "visible", "field", "trackTags", "ft", "activeCount", "badge", "searchInput", "o", "labelEl", "iconEl", "newTrackId", "currentXAxis", "keys", "abbr", "k", "updateSportFilterOptions", "commonContainer", "sports", "sportsArray", "burgerDropdown", "sport", "getSportIcon", "list", "emptyEl", "headerLabel", "ids", "ta", "tb", "sa", "sb", "cmp", "buildTrackItem", "all", "tag", "track", "date", "fmtDate", "tagsHtml", "getTagColor", "escHtml", "btnVis", "container", "showSkippedImportsModal", "listHtml", "btnClear", "importWarning", "zone", "items", "files", "queue", "entry", "readAllEntries", "res", "reader", "entries", "chunk", "child", "initialSkipCount", "loaderClose", "updateLoaderIconToWarning", "loaderIcon", "warningCount", "count", "countSpan", "firstId", "processedSinceLastUpdate", "validFiles", "f", "loaderFilename", "progressIdxEl", "totalEl", "existingTracks", "newStart", "newDuration", "newEnd", "sameDayTracks", "discarded", "ext", "extStart", "extDuration", "extEnd", "fallbackTime", "compactId", "shortRandom", "trackName", "displayName", "d", "err", "newWarnings", "draggedEl", "next", "toolbar", "pills", "availableW", "totalW", "hidden", "htmlEl", "deterministicPillWidth", "overflowEl"] } diff --git a/suites-experimental/tools-gps-tracks/src/app.ts b/suites-experimental/tools-gps-tracks/src/app.ts index c7fd2f1913..749f0f34de 100644 --- a/suites-experimental/tools-gps-tracks/src/app.ts +++ b/suites-experimental/tools-gps-tracks/src/app.ts @@ -810,12 +810,6 @@ async function init() { updateToolbarLayout(); }); - // Handle back/forward navigation - window.addEventListener('popstate', () => { - UrlState.refresh(); - applyState(UrlState.get()); - }); - initBenchmarkTriggers(); await preloadBenchmarkFiles(); diff --git a/suites-experimental/tools-gps-tracks/src/benchmark-override.ts b/suites-experimental/tools-gps-tracks/src/benchmark-override.ts index 9e25da8a54..aef3b32065 100644 --- a/suites-experimental/tools-gps-tracks/src/benchmark-override.ts +++ b/suites-experimental/tools-gps-tracks/src/benchmark-override.ts @@ -24,27 +24,6 @@ window.cancelAnimationFrame = (id: number): void => { window.clearTimeout(id); }; -// Guard history.replaceState and history.pushState against browser rate-limiting -// (e.g. WebKit's 100 calls per 10 seconds SecurityError across multi-iteration runs). -if (typeof history !== 'undefined') { - const origReplace = history.replaceState?.bind(history); - const origPush = history.pushState?.bind(history); - if (origReplace) { - history.replaceState = function (data: any, unused: string, url?: string | URL | null): void { - try { - origReplace(data, unused, url); - } catch (_) {} - }; - } - if (origPush) { - history.pushState = function (data: any, unused: string, url?: string | URL | null): void { - try { - origPush(data, unused, url); - } catch (_) {} - }; - } -} - // Normalize devicePixelRatio to 1 so uPlot and canvas rendering execute // identical code paths (e.g. decimation thresholds and canvas dimensions) across browsers. try { diff --git a/suites-experimental/tools-gps-tracks/src/url-state.ts b/suites-experimental/tools-gps-tracks/src/url-state.ts index f5d53edb4a..1ab6e3044b 100644 --- a/suites-experimental/tools-gps-tracks/src/url-state.ts +++ b/suites-experimental/tools-gps-tracks/src/url-state.ts @@ -31,14 +31,24 @@ export interface AppState { } export const UrlState = (() => { - // Internal state object, initialized from current URL. + const initialPathname = typeof location !== 'undefined' ? location.pathname : '/'; + const initialSearch = typeof location !== 'undefined' ? location.search.replace(/^\?/, '') : ''; + + // Internal state and local in-memory query/navigation stack. let _state: AppState = {}; + let localSearch: string = initialSearch; let _lastSearch: string | null = null; let _syncTimeout: any = null; let _shouldPush = false; + let historyEntries: Array<{ state: unknown; url: string }> = [ + { + state: null, + url: initialPathname + (initialSearch ? `?${initialSearch}` : ''), + }, + ]; function read(): AppState { - const p = new URLSearchParams(location.search); + const p = new URLSearchParams(localSearch); const s: AppState = {}; if (p.has('track')) s.track = p.get('track')!; @@ -154,17 +164,21 @@ export const UrlState = (() => { search += `${search ? '&' : ''}sel=${val}`; } + localSearch = search; if (search !== _lastSearch) { - const url = location.pathname + (search ? `?${search}` : ''); - try { - if (_shouldPush) { - history.pushState(null, '', url); - _shouldPush = false; - } else { - history.replaceState(null, '', url); + const pathname = typeof location !== 'undefined' ? location.pathname : '/'; + const url = pathname + (search ? `?${search}` : ''); + const entryState = read(); + if (_shouldPush) { + historyEntries.push({ state: entryState, url }); + if (historyEntries.length > 100) { + historyEntries.shift(); } - } catch (_) { _shouldPush = false; + } else if (historyEntries.length > 0) { + historyEntries[historyEntries.length - 1] = { state: entryState, url }; + } else { + historyEntries.push({ state: entryState, url }); } _lastSearch = search; } @@ -198,11 +212,11 @@ export const UrlState = (() => { } _state = {}; _shouldPush = false; + localSearch = ''; _lastSearch = ''; - try { - history.replaceState(null, '', location.pathname); - } catch (_) {} + const pathname = typeof location !== 'undefined' ? location.pathname : '/'; + historyEntries = [{ state: null, url: pathname }]; } - return { get, patch, refresh, reset }; + return { read, get, patch, refresh, reset }; })(); From e04801f425a9e6d6ff6f908ac9ab8b565903b714 Mon Sep 17 00:00:00 2001 From: Camillo Bruni Date: Fri, 13 Nov 2026 17:05:42 +0000 Subject: [PATCH 6/6] [tools-gps-tracks] Move warmup and init out of prepare into measured steps The prepare phase ran a full synthetic warmup and app initialization before signaling readiness, leaving a large unmeasured chunk of JS. Prepare now only fetches test data, so all initialization, parsing, and rendering is measured consistently in the benchmark steps across browsers. --- .../dist/tools-gps-tracks.mjs | 616 +++++++++--------- .../dist/tools-gps-tracks.mjs.map | 6 +- .../tools-gps-tracks/src/app.ts | 292 ++------- .../tools-gps-tracks/src/parsers.ts | 4 +- 4 files changed, 375 insertions(+), 543 deletions(-) diff --git a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs index a024ae89c4..c46097801c 100644 --- a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs +++ b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs @@ -1,49 +1,49 @@ -var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"u"?location.search.replace(/^\?/,""):"",e={},n=s,o=null,i=null,a=!1,r=[{state:null,url:t+(s?`?${s}`:"")}];function d(){let b=new 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M&&(M.fileName=w.name,M.fileSize=w.size,M.points&&M.stats&&(i(M),M.stats.sections=a(M.points))),M}return{parseFile:ct,computeStats:n,ensureCurvesAndZones:i,analyzeTrackSections:a,findOverlaps:r,calculatePowerCurve:f,calculateHRCurve:y,calculatePowerZones:S,calculateHRZones:v,enrichPoints:t,setHRZones:g,getHRZones:E,setFTP:I,getFTP:B}})();var qt=(()=>{let t={},s=null;function e(G,ot,_t,ct,w){}function n(G){}function i(G){t[G.id]=G}function a(G){G.forEach(ot=>{t[ot.id]=ot})}function r(G){delete t[G]}function d(){t={}}function l(){t={}}function f(G,ot){}function y(G,ot){}function S(){}function I(G){}function B(G,ot){}function v(){}function g(G,ot,_t,ct,w,b){}function E(){}function H(G,ot){}function L(G){}function h(G,ot,_t,ct){}function m(){}function p(){}function k(){return[0,0,0]}function j(G,ot,_t){}function U(G,ot,_t){}function Q(G){}function Y(G,ot){return 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O&&(O.dataset.intervalScore=T.toFixed(2)),T}return{init:Ct,loadTrack:W,clear:F,resetState:it,toggleMetric:K,setXAxis:Ht,toggleStats:dt,setSelectionStats:Ft,clearSelectionStats:It,restoreSelection:Nt,resetZoom:z,cancelSelection:_,analyzeTelemetryIntervals:Mo,setCursorAt:(o,c=!1)=>{if(h=o,ct&&ct(o),c){G&&B?.points?.[o]&&G(B.points[o]);return}d=!0,t.forEach(({uplot:x,yData:T,xData:A})=>{A[o]!=null&&T[o]!=null&&x.batch(()=>{x.setCursor({left:x.valToPos(A[o],"x"),top:x.valToPos(T[o],"y")},!0,!1)})}),d=!1,G&&B?.points?.[o]&&G(B.points[o])},setHoverAt:o=>{d=!0,t.forEach(({uplot:c,yData:x,xData:T})=>{o===null?c.batch(()=>{c.setCursor({left:-10,top:-10},!0,!1)}):T[o]!=null&&x[o]!=null&&c.batch(()=>{c.setCursor({left:c.valToPos(T[o],"x"),top:c.valToPos(x[o],"y")},!0,!1)})}),d=!1,G&&G(o!=null&&B?.points?.[o]?B.points[o]:null)},clearPinnedDot:()=>{h=null,ct&&ct(null),t.forEach(({uplot:o})=>o.redraw(!1))},resize:Et,METRICS:Ne,isDragging:()=>H,setMapColorChangeCb:Lt,toggleMapColor:st,getMapColorMetric:()=>at,getActiveMetrics:()=>l,getAvailableMetrics:()=>f,setActiveMetrics:ut,setSmooth:ht,setZeroInclusion:Pt,updateMetricOrder:o=>{let c=new Set;o.forEach(x=>{l.has(x)&&c.add(x)}),l.forEach(x=>{c.has(x)||c.add(x)}),l=c,B&&bt(!0)},getXAxis:()=>I};function Eo(o,c,x,T,A){let $=o.ctx,D=o.bbox,P=window.devicePixelRatio||1,N=zt(A,x);$.save(),$.beginPath(),$.rect(D.left,D.top,D.width,D.height),$.clip();let J=A==="gearRear"||A==="gearFront";for(let Z=1;Ztt.time!=null)?.time||0,X=x.field;T.beginPath(),T.strokeStyle="rgba(255, 255, 255, 0.04)",T.lineWidth=1*$;let et=!0;for(let tt=0;tt0){let yt=J[tt-1];(C.time&&yt.time?C.time-yt.time:0)>D&&(et=!0)}let Tt=x.transform?x.transform(xt):xt;if(Tt==null){et=!0;continue}let rt=I==="distance"?(C.dist||0)/1e3:(C.time-Z)/1e3;if(rto.scales.x.max+10){et=!0;continue}let $t=o.valToPos(rt,"x",!0),pt=o.valToPos(Tt,"y",!0);if(et)T.moveTo($t,pt),et=!1;else{if(P){let yt=J[tt-1],kt=I==="distance"?(yt.dist||0)/1e3:(yt.time-Z)/1e3;T.lineTo(o.valToPos(kt,"x",!0),pt)}T.lineTo($t,pt)}}T.stroke()}T.restore()}function dl(o,c,x,T,A,$,D=null,P=[]){let N=o.ctx,J=o.bbox,Z=window.devicePixelRatio||1,X=6e4;N.save(),N.beginPath(),N.strokeStyle=le(T,.8),N.lineWidth=A*Z;let et=$==="gearRear"||$==="gearFront",tt=!0,C=null,xt=1,Tt=1;if($==="gears"&&P.length>0){let Qt=1/0,de=-1/0;for(let Te=0;Tede&&(de=De))}Qt<=de&&(xt=Qt,Tt=de)}let rt=D?D[0]:o.scales.x?.min??-1/0,$t=D?D[1]:o.scales.x?.max??1/0,pt=o.scales.x?.min??-1/0,yt=o.scales.x?.max??1/0,kt=o.scales.y?.min??0,Vt=o.scales.y?.max??100,Ut=J.width/(yt-pt||1),ee=J.height/(Vt-kt||1),oe=o.scales.y?.dir??1,ae=oe===-1?J.top:J.top+J.height,ie=oe===-1?ee:-ee,mt=D?null:o.series[0]?.idxs,Kt=mt?Math.max(0,mt[0]-1):0,Zt=mt?Math.min(c.length-1,mt[1]+1):c.length-1,Jt=et||$==="gears"?1:Math.max(1,Math.floor((Zt-Kt)/250)),ce=I==="time",pe=X/1e3,fe=Kt;for(let Qt=Kt;Qt<=Zt;Qt+=Jt){let de=c[Qt],Te=x[Qt];if(de==null||Te==null){tt=!0;continue}if($==="gears"&&P[Qt]){let Le=P[Qt].gearFrontTooth??P[Qt].gearFront;if(Le!=null&&Le!==C){if(!tt&&Qt>0){N.stroke(),N.beginPath();let Ps=J.left+(c[fe]-pt)*Ut,ss=ae+(x[fe]-kt)*ie;N.moveTo(Ps,ss)}let ln=T;Tt!==xt&&Le!=null&&(Le===xt?ln="#FFC400":Le===Tt?ln="#FF8C00":ln="#FFA500"),N.strokeStyle=le(ln,.8),C=Le}}if(Qt>Kt&&ce){let Le=c[fe];Le!=null&&de-Le>pe&&(tt=!0)}if(de$t){tt=!0;continue}let De=J.left+(de-pt)*Ut,Je=ae+(Te-kt)*ie;if(tt)N.moveTo(De,Je),tt=!1;else{if(et){let Le=c[fe];N.lineTo(J.left+(Le-pt)*Ut,Je)}N.lineTo(De,Je)}fe=Qt}N.stroke(),N.restore()}})();var Wo={"Heart Rate":Rt.hr.icon,Cadence:Rt.cadence.icon,Power:Rt.power.icon,Temperature:Rt.temperature.icon,Shifting:Rt.gears.icon,Battery:Rt.battery.icon},$n=()=>{},El=()=>{};function Ds(t,s){$n=t,El=s}function kl(){let t=document.getElementById("details-view");t&&(t.innerHTML=`
no_sim
Select a track for details
- `)}var cn=16384,Ue=[new Float64Array(cn),new Float64Array(cn),new Float64Array(cn),new Float64Array(cn),new Float64Array(cn),new Float64Array(cn),new Float64Array(cn)],Co=[3,5,10,15,20,30,45,60,90];function Wl(t,s){let e=t.points,n=Math.min(e.length,cn),o=0;for(let v=0;v=n)continue;let f=1/k,h=Math.max(1,k>>1);for(let p=0;p<7;p++){let E=Ue[p],_=0,W=0,O=0,Y=0,Z=1/(10+p*15+v*2);for(let lt=0;lt=k){let rt=E[lt-k];_-=rt,W-=rt*rt;let w=_*f,y=Math.max(0,W*f-w*w),m=E[lt-h],N=Ft-E[lt-1],C=N*N*Z,G=v<4?Math.exp(-C):1/(1+C);Y+=N*N*G;let U=1/(1+y*1e-4);O+=(Ft-w)*(m-w)*U}}o+=(O+Y*.001)/Math.max(1,n)}}let i=t.stats.sections||Jt.analyzeTrackSections(e),a=[];for(let v=0;vk[1].secs-v[1].secs).slice(0,8).map(([v,k])=>({combo:v,ratio:(k.front/Math.max(1,k.rear)).toFixed(2),seconds:k.secs,pct:Number((k.secs/Math.max(1,n)*100).toFixed(1)),avgPower:Math.round(k.pwrSum/Math.max(1,k.secs)),avgCadence:Math.round(k.cadSum/Math.max(1,k.secs))})),T=s.length>0?s:[t],$=1,M=1,F=1,I=0,b=0;for(let v=0;vt.stats.totalDist&&$++,(k.avgPower||0)>(t.stats.avgPower||0)&&M++,k.elevGain>t.stats.elevGain&&F++}let g=Math.round(I/Math.max(1,T.length)),u=(b/Math.max(1,T.length)/1e3).toFixed(1);return{stabilityAccum:o,splitRows:a.slice(0,12),gearMatrix:d,peerSummary:{cohortSize:T.length,distRank:$,pwrRank:M,elevRank:F,cohortAvgPower:g,cohortAvgDistKm:u}}}function Ee(t,s=[],e=[],n){let o=document.getElementById("details-view");if(!o)return;if(!t){o.innerHTML="";return}let i=t;if(n&&n.length===2){let f=t.points[0]?.time||0,h=f+n[0]*1e3,p=f+n[1]*1e3,E=Math.max(0,t.points.findIndex(W=>(W.time||0)>=h)),_=t.points.findIndex(W=>(W.time||0)>=p);if(_===-1&&(_=t.points.length-1),_>E+2){let W=t.points.slice(E,_+1),O=Jt.computeStats(W,!0);i={...t,points:W,stats:O}}}let a=i.stats,r=i.points[0].time;Jt.ensureCurvesAndZones(i);let d=Wl(i,e),T=Math.min(99.9,Math.max(80,95+Math.tanh(d.stabilityAccum*.002)*4.5)).toFixed(1);o.innerHTML=` + `)}var cn=16384,Ue=[new Float64Array(cn),new Float64Array(cn),new Float64Array(cn),new Float64Array(cn),new Float64Array(cn),new Float64Array(cn),new Float64Array(cn)],Ml=[3,5,10,15,20,30,45,60,90];function qo(t,s){let e=t.points,n=Math.min(e.length,cn),i=0;for(let H=0;H=n)continue;let h=1/L,m=Math.max(1,L>>1);for(let p=0;p<7;p++){let k=Ue[p],j=0,U=0,Q=0,Y=0,G=1/(10+p*15+H*2);for(let ot=0;ot=L){let ct=k[ot-L];j-=ct,U-=ct*ct;let w=j*h,b=Math.max(0,U*h-w*w),u=k[ot-m],R=_t-k[ot-1],M=R*R*G,O=H<4?Math.exp(-M):1/(1+M);Y+=R*R*O;let q=1/(1+b*1e-4);Q+=(_t-w)*(u-w)*q}}i+=(Q+Y*.001)/Math.max(1,n)}}let a=t.stats.sections||re.analyzeTrackSections(e),r=[];for(let H=0;HL[1].secs-H[1].secs).slice(0,8).map(([H,L])=>({combo:H,ratio:(L.front/Math.max(1,L.rear)).toFixed(2),seconds:L.secs,pct:Number((L.secs/Math.max(1,n)*100).toFixed(1)),avgPower:Math.round(L.pwrSum/Math.max(1,L.secs)),avgCadence:Math.round(L.cadSum/Math.max(1,L.secs))})),f=s.length>0?s:[t],y=1,S=1,I=1,B=0,v=0;for(let H=0;Ht.stats.totalDist&&y++,(L.avgPower||0)>(t.stats.avgPower||0)&&S++,L.elevGain>t.stats.elevGain&&I++}let g=Math.round(B/Math.max(1,f.length)),E=(v/Math.max(1,f.length)/1e3).toFixed(1);return{stabilityAccum:i,splitRows:r.slice(0,12),gearMatrix:l,peerSummary:{cohortSize:f.length,distRank:y,pwrRank:S,elevRank:I,cohortAvgPower:g,cohortAvgDistKm:E}}}function Ee(t,s=[],e=[],n){let i=document.getElementById("details-view");if(!i)return;if(!t){i.innerHTML="";return}let a=t;if(n&&n.length===2){let h=t.points[0]?.time||0,m=h+n[0]*1e3,p=h+n[1]*1e3,k=Math.max(0,t.points.findIndex(U=>(U.time||0)>=m)),j=t.points.findIndex(U=>(U.time||0)>=p);if(j===-1&&(j=t.points.length-1),j>k+2){let U=t.points.slice(k,j+1),Q=re.computeStats(U,!0);a={...t,points:U,stats:Q}}}let r=a.stats,d=a.points[0].time;re.ensureCurvesAndZones(a);let l=qo(a,e),f=Math.min(99.9,Math.max(80,95+Math.tanh(l.stabilityAccum*.002)*4.5)).toFixed(1);i.innerHTML=`
- +
@@ -53,7 +53,7 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
- ${s.map(f=>`
@@ -64,23 +64,23 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
Distance
-
${(a.totalDist/1e3).toFixed(2)} km
+
${(r.totalDist/1e3).toFixed(2)} km
Duration
-
${a.duration?he(Math.floor(a.duration/1e3)):"\u2014"}
+
${r.duration?he(Math.floor(r.duration/1e3)):"\u2014"}
Avg Speed
-
${a.avgSpeed?(a.avgSpeed*3.6).toFixed(1):"\u2014"} km/h
+
${r.avgSpeed?(r.avgSpeed*3.6).toFixed(1):"\u2014"} km/h
Max Speed
-
${(a.maxSpeed*3.6).toFixed(1)} km/h
+
${(r.maxSpeed*3.6).toFixed(1)} km/h
- ${a.avgBattery!==null?`
+ ${r.avgBattery!==null?`
Avg Battery
-
${a.avgBattery}%
+
${r.avgBattery}%
`:""}
@@ -90,11 +90,11 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
Original Filename
-
${me(t.fileName||"\u2014")}
+
${ue(t.fileName||"\u2014")}
File Size
-
${t.fileSize?Mo(t.fileSize):"\u2014"}
+
${t.fileSize?yl(t.fileSize):"\u2014"}
Format
@@ -103,10 +103,10 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
Sport
- ${Eo(t.sport)} - ${me(Ye[t.sport?.toLowerCase()||""]?.name||"\u2014")} + ${Tl(t.sport)} + ${ue(Ye[t.sport?.toLowerCase()||""]?.name||"\u2014")} expand_more - ${t.subSport?`(${me(t.subSport)})`:""} + ${t.subSport?`(${ue(t.subSport)})`:""}
@@ -115,7 +115,7 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
Start Time
-
${r?So(r):"Unknown"}
+
${d?vl(d):"Unknown"}
@@ -129,63 +129,63 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
Telemetry Stability
-
${T}%
+
${f}%
Sensors Found
- ${a.sensors.length?a.sensors.map(f=>`${Nl[f]||"sensors"}`).join(""):'GPS only'} + ${r.sensors.length?r.sensors.map(h=>`${Wo[h]||"sensors"}`).join(""):'GPS only'}
- ${a.avgHR||a.avgPower||a.avgCadence||a.avgTemp!=null?` + ${r.avgHR||r.avgPower||r.avgCadence||r.avgTemp!=null?`
monitoringBiometric Averages
- ${a.avgHR?`
+ ${r.avgHR?`
Avg HR
-
${a.avgHR} bpm
+
${r.avgHR} bpm
`:""} - ${a.maxHR?`
+ ${r.maxHR?`
Max HR
-
${a.maxHR} bpm
+
${r.maxHR} bpm
`:""} - ${a.avgPower?`
+ ${r.avgPower?`
Avg Power
-
${a.avgPower} W
+
${r.avgPower} W
`:""} - ${a.maxPower?`
+ ${r.maxPower?`
Max Power
-
${a.maxPower} W
+
${r.maxPower} W
`:""} - ${a.avgCadence?`
+ ${r.avgCadence?`
Avg Cadence
-
${a.avgCadence} rpm
+
${r.avgCadence} rpm
`:""} - ${a.avgTemp!=null?`
+ ${r.avgTemp!=null?`
Avg Temp
-
${a.avgTemp.toFixed(1)} \xB0C
+
${r.avgTemp.toFixed(1)} \xB0C
`:""} - ${a.minTemp!=null&&a.maxTemp!=null?`
+ ${r.minTemp!=null&&r.maxTemp!=null?`
Temp Range
-
${a.minTemp.toFixed(1)} \u2013 ${a.maxTemp.toFixed(1)} \xB0C
+
${r.minTemp.toFixed(1)} \u2013 ${r.maxTemp.toFixed(1)} \xB0C
`:""}
`:""} - ${a.shifts!==null||d.gearMatrix.length>0?` + ${r.shifts!==null||l.gearMatrix.length>0?`
settingsDrivetrain & Gear Matrix
Total Shifts
-
${a.shifts??0}
+
${r.shifts??0}
Cohort Power Rank
-
#${d.peerSummary.pwrRank} / ${d.peerSummary.cohortSize} (${d.peerSummary.cohortAvgPower} W avg)
+
#${l.peerSummary.pwrRank} / ${l.peerSummary.cohortSize} (${l.peerSummary.cohortAvgPower} W avg)
@@ -199,22 +199,22 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<" - ${d.gearMatrix.map(f=>` + ${l.gearMatrix.map(h=>` - - - - - + + + + + `).join("")}
${me(f.combo)}${f.ratio}${f.pct}% (${f.seconds}s)${f.avgPower} W${f.avgCadence} rpm${ue(h.combo)}${h.ratio}${h.pct}% (${h.seconds}s)${h.avgPower} W${h.avgCadence} rpm
`:""} - ${d.splitRows.length>0?` + ${l.splitRows.length>0?`
-
splitscreenSection & Kilometer Splits (${d.splitRows.length})
+
splitscreenSection & Kilometer Splits (${l.splitRows.length})
@@ -231,18 +231,18 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<" - ${d.splitRows.map(f=>` + ${l.splitRows.map(h=>` - - - - - - - - - - + + + + + + + + + + `).join("")} @@ -253,22 +253,22 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
watchHardware & Sensors
- ${(()=>{let f=new Set;return t.devices.filter(h=>{if(!(h.name||h.product||h.manufacturer))return!1;let E=`${h.name}|${h.product}|${h.manufacturer}|${h.serial}`;return f.has(E)?!1:(f.add(E),!0)}).map(h=>{let p=h.name||h.product||"Unknown Device",E=h.manufacturer?`${h.manufacturer}`:"",_=[h.serial?`SN: ${h.serial}`:null,h.version?`v${h.version}`:null,h.hardwareVersion?`hw:${h.hardwareVersion}`:null].filter(Boolean).join(" \u2022 "),W=[h.batteryLevel?`${h.batteryLevel}%`:null,h.batteryStatus?`Status: ${h.batteryStatus}`:null,h.batteryVoltage?`${h.batteryVoltage.toFixed(2)}V`:null].filter(Boolean).join(" \u2022 "),O="",Y=String(h.sourceType||"").toLowerCase();Y.includes("local")?O="memory":Y.includes("antplus")||Y.includes("ant_plus")?O="settings_input_antenna":Y.includes("bluetooth")&&(O="bluetooth");let Z="sensors",lt=String(p).toLowerCase();return lt.includes("heartrate")||lt.includes("hrm")?Z=Nt.hr.icon:lt.includes("power")?Z=Nt.power.icon:lt.includes("speed")?Z=Nt.speed.icon:lt.includes("cadence")?Z=Nt.cadence.icon:lt.includes("barometer")?Z="air":lt.includes("temperature")?Z=Nt.temperature.icon:lt.includes("gps")&&(Z="location_on"),` + ${(()=>{let h=new Set;return t.devices.filter(m=>{if(!(m.name||m.product||m.manufacturer))return!1;let k=`${m.name}|${m.product}|${m.manufacturer}|${m.serial}`;return h.has(k)?!1:(h.add(k),!0)}).map(m=>{let p=m.name||m.product||"Unknown Device",k=m.manufacturer?`${m.manufacturer}`:"",j=[m.serial?`SN: ${m.serial}`:null,m.version?`v${m.version}`:null,m.hardwareVersion?`hw:${m.hardwareVersion}`:null].filter(Boolean).join(" \u2022 "),U=[m.batteryLevel?`${m.batteryLevel}%`:null,m.batteryStatus?`Status: ${m.batteryStatus}`:null,m.batteryVoltage?`${m.batteryVoltage.toFixed(2)}V`:null].filter(Boolean).join(" \u2022 "),Q="",Y=String(m.sourceType||"").toLowerCase();Y.includes("local")?Q="memory":Y.includes("antplus")||Y.includes("ant_plus")?Q="settings_input_antenna":Y.includes("bluetooth")&&(Q="bluetooth");let G="sensors",ot=String(p).toLowerCase();return ot.includes("heartrate")||ot.includes("hrm")?G=Rt.hr.icon:ot.includes("power")?G=Rt.power.icon:ot.includes("speed")?G=Rt.speed.icon:ot.includes("cadence")?G=Rt.cadence.icon:ot.includes("barometer")?G="air":ot.includes("temperature")?G=Rt.temperature.icon:ot.includes("gps")&&(G="location_on"),`
- ${Z} -
${me(p)}
- ${O?`${O}`:""} + ${G} +
${ue(p)}
+ ${Q?`${Q}`:""}
-
${E}
+
${k}
- ${_?`
${me(_)}
`:""} + ${j?`
${ue(j)}
`:""}
-
${me(h.type||"device")}
- ${W?`
+
${ue(m.type||"device")}
+ ${U?`
battery_charging_full - ${me(W)} + ${ue(U)}
`:""}
@@ -284,7 +284,7 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
- `;let $=document.getElementById("tag-container"),M=document.getElementById("new-tag-input"),F=document.getElementById("btn-add-tag"),I=()=>{$.innerHTML="";let f=t.tags||[];if(f.length===0){$.innerHTML='No tags added';return}f.forEach(h=>{let p=Ts(h),E=document.createElement("div");E.className="tag-pill font-s",E.style.cssText=` + `;let y=document.getElementById("tag-container"),S=document.getElementById("new-tag-input"),I=document.getElementById("btn-add-tag"),B=()=>{y.innerHTML="";let h=t.tags||[];if(h.length===0){y.innerHTML='No tags added';return}h.forEach(m=>{let p=hs(m),k=document.createElement("div");k.className="tag-pill font-s",k.style.cssText=` background: ${p}15; border: 1px solid ${p}44; color: ${p}; @@ -294,41 +294,41 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<" display: flex; align-items: center; gap: 6px; - `,E.innerHTML=` - ${me(h)} - close - `,$.appendChild(E)}),$.querySelectorAll(".btn-remove-tag").forEach(h=>{h.addEventListener("click",async p=>{let E=p.currentTarget.dataset.tag;t.tags=(t.tags||[]).filter(_=>_!==E),await ce.save(t),I(),Pn()})})},b=async()=>{let f=M.value.trim().toLowerCase();if(!f)return;let h=new Set(t.tags||[]);if(h.has(f)){M.value="";return}h.add(f),t.tags=Array.from(h).sort(),await ce.save(t),M.value="",I(),Pn()};F.addEventListener("click",b),M.addEventListener("keydown",f=>{f.key==="Enter"&&b()});let g=o.querySelector("#details-title-input");g?.addEventListener("change",async()=>{let f=g.value.trim();f&&(t.displayName=f,await ce.save(t),Pn())});let u=document.getElementById("sport-dropdown-trigger");u?.addEventListener("click",f=>{f.stopPropagation(),v(u)});function v(f){if(!t)return;document.querySelectorAll(".metric-menu-popup").forEach(O=>O.remove());let h=document.createElement("div");h.className="metric-menu-popup",Object.keys(Ye).forEach(O=>{let Y=Ye[O],Z=document.createElement("div"),lt=t.sport?.toLowerCase()===O;Z.className=`menu-item ${lt?"active":""}`,Z.innerHTML=` + `,k.innerHTML=` + ${ue(m)} + close + `,y.appendChild(k)}),y.querySelectorAll(".btn-remove-tag").forEach(m=>{m.addEventListener("click",async p=>{let k=p.currentTarget.dataset.tag;t.tags=(t.tags||[]).filter(j=>j!==k),await ge.save(t),B(),$n()})})},v=async()=>{let h=S.value.trim().toLowerCase();if(!h)return;let m=new Set(t.tags||[]);if(m.has(h)){S.value="";return}m.add(h),t.tags=Array.from(m).sort(),await ge.save(t),S.value="",B(),$n()};I.addEventListener("click",v),S.addEventListener("keydown",h=>{h.key==="Enter"&&v()});let g=i.querySelector("#details-title-input");g?.addEventListener("change",async()=>{let h=g.value.trim();h&&(t.displayName=h,await ge.save(t),$n())});let E=document.getElementById("sport-dropdown-trigger");E?.addEventListener("click",h=>{h.stopPropagation(),H(E)});function H(h){if(!t)return;document.querySelectorAll(".metric-menu-popup").forEach(Q=>Q.remove());let m=document.createElement("div");m.className="metric-menu-popup",Object.keys(Ye).forEach(Q=>{let Y=Ye[Q],G=document.createElement("div"),ot=t.sport?.toLowerCase()===Q;G.className=`menu-item ${ot?"active":""}`,G.innerHTML=` ${Y.icon}${Y.name} - ${lt?"check":""} - `,Z.addEventListener("click",async()=>{t.sport=O,await ce.save(t),h.remove();let Ft=document.getElementById("sport-icon");Ft&&(Ft.textContent=Y.icon);let rt=document.getElementById("sport-name");rt&&(rt.textContent=Y.name),Pn()}),h.appendChild(Z)});let p=document.createElement("div"),E=!t.sport;p.className=`menu-item ${E?"active":""}`,p.innerHTML=` + ${ot?"check":""} + `,G.addEventListener("click",async()=>{t.sport=Q,await ge.save(t),m.remove();let _t=document.getElementById("sport-icon");_t&&(_t.textContent=Y.icon);let ct=document.getElementById("sport-name");ct&&(ct.textContent=Y.name),$n()}),m.appendChild(G)});let p=document.createElement("div"),k=!t.sport;p.className=`menu-item ${k?"active":""}`,p.innerHTML=` block\u2014 - ${E?"check":""} - `,p.addEventListener("click",async()=>{t.sport=void 0,await ce.save(t),h.remove();let O=document.getElementById("sport-icon");O&&(O.textContent="question_mark");let Y=document.getElementById("sport-name");Y&&(Y.textContent="\u2014"),Pn()}),h.appendChild(p),document.body.appendChild(h);let _=f.getBoundingClientRect();h.style.top=`${_.bottom+window.scrollY+4}px`,h.style.left=`${_.left+window.scrollX}px`;let W=O=>{!h.contains(O.target)&&!f.contains(O.target)&&(h.remove(),document.removeEventListener("click",W))};setTimeout(()=>document.addEventListener("click",W),10)}I(),document.getElementById("btn-delete-track")?.addEventListener("click",()=>{confirm(`Remove "${t.name}"?`)&&$o(t.id)})}import Gl from"uplot";var we=[];function No(t){return we.filter(s=>{if(s.points.length===0)return!1;for(let e of s.points){let n=!1;for(let o of t.points)if(en(e.lat,e.lon,o.lat,o.lon)<=e.radius){n=!0;break}if(!n)return!1}return!0})}var un=null,Yn=!1,dn=null,Wo=()=>{},ql=null;function qo(t){Wo=t,zl()}function zo(){we=[],un=null,dn=null,Yn=!1;let t=document.getElementById("courses-view");t&&(t.innerHTML=` + ${k?"check":""} + `,p.addEventListener("click",async()=>{t.sport=void 0,await ge.save(t),m.remove();let Q=document.getElementById("sport-icon");Q&&(Q.textContent="question_mark");let Y=document.getElementById("sport-name");Y&&(Y.textContent="\u2014"),$n()}),m.appendChild(p),document.body.appendChild(m);let j=h.getBoundingClientRect();m.style.top=`${j.bottom+window.scrollY+4}px`,m.style.left=`${j.left+window.scrollX}px`;let U=Q=>{!m.contains(Q.target)&&!h.contains(Q.target)&&(m.remove(),document.removeEventListener("click",U))};setTimeout(()=>document.addEventListener("click",U),10)}B(),document.getElementById("btn-delete-track")?.addEventListener("click",()=>{confirm(`Remove "${t.name}"?`)&&El(t.id)})}import Zo from"uplot";var xe=[];function Dl(t){return xe.filter(s=>{if(s.points.length===0)return!1;for(let e of s.points){let n=!1;for(let i of t.points)if(en(e.lat,e.lon,i.lat,i.lon)<=e.radius){n=!0;break}if(!n)return!1}return!0})}var un=null,Yn=!1,dn=null,Bl=()=>{},zo=null;function Bs(t){Bl=t,Uo()}function _l(){xe=[],un=null,dn=null,Yn=!1;let t=document.getElementById("courses-view");t&&(t.innerHTML=`
route
No courses created yet
- `)}function Us(t){we=[];let s=[{trackIdx:0,suffix:"Full Loop",fracs:[.1,.5,.85],radius:450},{trackIdx:1,suffix:"Opening Climb Sector",fracs:[.08,.25,.45],radius:450},{trackIdx:2,suffix:"Lakeside Corridor",fracs:[.1,.45,.8],radius:850},{trackIdx:3,suffix:"Sprint Interval Sector",fracs:[.2,.5,.75],radius:850},{trackIdx:4,suffix:"Alpine Grand Tour Stage",fracs:[.1,.5,.85],radius:900},{trackIdx:5,suffix:"Summit Finish Climb",fracs:[.5,.72,.92],radius:900}];for(let e=0;e0&&(un=we[0].id,dn=we[0].id)}function Uo(){return we.map(t=>t.id)}async function zl(){try{let t=await ce.get("courses");t&&(we=t)}catch(t){console.error("Courses: Failed to load courses",t)}}async function Vs(){try{await ce.set("courses",we)}catch(t){console.error("Courses: Failed to save courses",t),Wo("Failed to save courses","error")}}function Ul(t){let s=0;for(let e=0;ee)return{duration:0,dist:0,avgWatts:null,avgHR:null,avgSpeed:null,avgCadence:null,avgVam:null};let i=Math.max(0,Math.min(s,o-1)),a=Math.max(i,Math.min(e,o-1)),r=n[i]?.time||0,T=((n[a]?.time||0)-r)/1e3,$=0,M=0,F=0,I=0,b=0,g=0,u=0,v=0,k=0;for(let h=i;h<=a;h++){let p=n[h];if(p.power!=null&&($+=p.power,M++),p.hr!=null&&(F+=p.hr,I++),p.speed!=null&&(b+=p.speed,g++),p.cadence!=null&&(u+=p.cadence,v++),h>i){let E=n[h-1];if(p.ele!=null&&E.ele!=null){let _=p.ele-E.ele;_>0&&(k+=_)}}}let f=a>i?(n[a].dist||0)-(n[i].dist||0):0;return{duration:T,dist:f,avgWatts:M>0?Math.round($/M):null,avgHR:I>0?Math.round(F/I):null,avgSpeed:g>0?b/g:null,avgCadence:v>0?Math.round(u/v):null,avgVam:T>0?Math.round(k/(T/3600)):null}}function Vl(t){let s=Math.floor(t/3600),e=Math.floor(t%3600/60),n=Math.floor(t%60);return s>0?`${s}:${e.toString().padStart(2,"0")}:${n.toString().padStart(2,"0")}`:`${e}:${n.toString().padStart(2,"0")}`}function Os(){return` + `)}function Rl(t){xe=[];let s=[{trackIdx:0,suffix:"Full Loop",fracs:[.1,.5,.85],radius:450},{trackIdx:1,suffix:"Opening Climb Sector",fracs:[.08,.25,.45],radius:450},{trackIdx:2,suffix:"Lakeside Corridor",fracs:[.1,.45,.8],radius:850},{trackIdx:3,suffix:"Sprint Interval Sector",fracs:[.2,.5,.75],radius:850},{trackIdx:4,suffix:"Alpine Grand Tour Stage",fracs:[.1,.5,.85],radius:900},{trackIdx:5,suffix:"Summit Finish Climb",fracs:[.5,.72,.92],radius:900}];for(let e=0;e0&&(un=xe[0].id,dn=xe[0].id)}function Nl(){return xe.map(t=>t.id)}async function Uo(){try{let t=await ge.get("courses");t&&(xe=t)}catch(t){console.error("Courses: Failed to load courses",t)}}async function _s(){try{await ge.set("courses",xe)}catch(t){console.error("Courses: Failed to save courses",t),Bl("Failed to save courses","error")}}function Vo(t){let s=0;for(let e=0;ee)return{duration:0,dist:0,avgWatts:null,avgHR:null,avgSpeed:null,avgCadence:null,avgVam:null};let a=Math.max(0,Math.min(s,i-1)),r=Math.max(a,Math.min(e,i-1)),d=n[a]?.time||0,f=((n[r]?.time||0)-d)/1e3,y=0,S=0,I=0,B=0,v=0,g=0,E=0,H=0,L=0;for(let m=a;m<=r;m++){let p=n[m];if(p.power!=null&&(y+=p.power,S++),p.hr!=null&&(I+=p.hr,B++),p.speed!=null&&(v+=p.speed,g++),p.cadence!=null&&(E+=p.cadence,H++),m>a){let k=n[m-1];if(p.ele!=null&&k.ele!=null){let j=p.ele-k.ele;j>0&&(L+=j)}}}let h=r>a?(n[r].dist||0)-(n[a].dist||0):0;return{duration:f,dist:h,avgWatts:S>0?Math.round(y/S):null,avgHR:B>0?Math.round(I/B):null,avgSpeed:g>0?v/g:null,avgCadence:H>0?Math.round(E/H):null,avgVam:f>0?Math.round(L/(f/3600)):null}}function Oo(t){let s=Math.floor(t/3600),e=Math.floor(t%3600/60),n=Math.floor(t%60);return s>0?`${s}:${e.toString().padStart(2,"0")}:${n.toString().padStart(2,"0")}`:`${e}:${n.toString().padStart(2,"0")}`}function Rs(){return` - + - `}function Ys(t,s,e){let o=(s?Ye[s.toLowerCase()]:null)?.paceUnit||"km",i="--";if(t.avgSpeed!=null&&t.avgSpeed>.1){let a=(o==="km"?1e3:100)/t.avgSpeed;i=`${On(a)} min/${o}`}return` + `}function Ns(t,s,e){let i=(s?Ye[s.toLowerCase()]:null)?.paceUnit||"km",a="--";if(t.avgSpeed!=null&&t.avgSpeed>.1){let r=(i==="km"?1e3:100)/t.avgSpeed;a=`${On(r)} min/${i}`}return` - + - + - `}var Cs=16384,Ao=new Float64Array(Cs),Io=new Float64Array(Cs),Ho=new Float64Array(Cs),Fo=new Float64Array(32),Do=new Float64Array(32),sn=180,Bo=28,_o=new Float64Array(sn),Ro=new Float64Array(sn),Ln=new Float64Array(sn+1),Es=new Float64Array(sn+1);function je(){let t=document.getElementById("courses-view");if(!t)return;let s=0,e=dn||un?we.filter(n=>n.id===dn||n.id===un):we;for(let n of e){if(n.points.length<2)continue;let o=Bt.findTracksPassingThroughPoints(n.points.map(a=>({lat:a.lat,lng:a.lon})),n.points[0]?.radius||20),i=4;for(let a=0;an.id===dn||n.id===un):xe;for(let n of e){if(n.points.length<2)continue;let i=qt.findTracksPassingThroughPoints(n.points.map(r=>({lat:r.lat,lng:r.lon})),n.points[0]?.radius||20),a=4;for(let r=0;r
@@ -346,33 +346,33 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
- ${we.length===0?` + ${xe.length===0?`
route
No courses created yet
- `:we.map(n=>{let o=n.points.map(d=>({lat:d.lat,lng:d.lon})),i=Bt.findTracksPassingThroughPoints(o,n.points[0]?.radius||20),a=n.id===dn,r="";if(a){let d=i.map(T=>{let $=Bt.getTrackData(T);if(!$)return null;let M=ks($,n.points);if(!M)return null;let F=wn($,M.startIdx,M.endIdx),I=Math.max(1,M.endIdx-M.startIdx),b=M.startIdx+Math.floor(I*.25),g=M.startIdx+Math.floor(I*.5),u=M.startIdx+Math.floor(I*.75),v=wn($,M.startIdx,b),k=wn($,b,g),f=wn($,g,u),h=wn($,u,M.endIdx),p=$.stats?.startTime||$.points?.[0]?.time,E=p?nn(p):"-";return{id:T,displayName:$.displayName||$.name||T,date:E,sport:$.sport,color:$.color,...F,splitsSummary:`${v.avgWatts||0}/${k.avgWatts||0}/${f.avgWatts||0}/${h.avgWatts||0}W`,startIdx:M.startIdx,endIdx:M.endIdx}}).filter(T=>T!==null);d.sort((T,$)=>T.duration-$.duration||T.id.localeCompare($.id)),r=` + `:xe.map(n=>{let i=n.points.map(l=>({lat:l.lat,lng:l.lon})),a=qt.findTracksPassingThroughPoints(i,n.points[0]?.radius||20),r=n.id===dn,d="";if(r){let l=a.map(f=>{let y=qt.getTrackData(f);if(!y)return null;let S=vs(y,n.points);if(!S)return null;let I=wn(y,S.startIdx,S.endIdx),B=Math.max(1,S.endIdx-S.startIdx),v=S.startIdx+Math.floor(B*.25),g=S.startIdx+Math.floor(B*.5),E=S.startIdx+Math.floor(B*.75),H=wn(y,S.startIdx,v),L=wn(y,v,g),h=wn(y,g,E),m=wn(y,E,S.endIdx),p=y.stats?.startTime||y.points?.[0]?.time,k=p?nn(p):"-";return{id:f,displayName:y.displayName||y.name||f,date:k,sport:y.sport,color:y.color,...I,splitsSummary:`${H.avgWatts||0}/${L.avgWatts||0}/${h.avgWatts||0}/${m.avgWatts||0}W`,startIdx:S.startIdx,endIdx:S.endIdx}}).filter(f=>f!==null);l.sort((f,y)=>f.duration-y.duration||f.id.localeCompare(y.id)),d=`
- ${d.length===0?` + ${l.length===0?`
No matching tracks
`:`
${me(f.label)}${f.distKm} km${f.durationStr}+${f.elevGain} m${f.avgSpeedKmh} km/h${f.avgPower} W${f.avgHR} bpm${f.avgCadence} rpm${f.avgTemp} \xB0C${f.stabilityPct}%${ue(h.label)}${h.distKm} km${h.durationStr}+${h.elevGain} m${h.avgSpeedKmh} km/h${h.avgPower} W${h.avgHR} bpm${h.avgCadence} rpm${h.avgTemp} \xB0C${h.stabilityPct}%
calendar_today Date straighten Distance timer Duration speed Speed speed Pacetrending_up VAMtrending_up VAM bolt Power favorite HR${e} ${t.dist!=null?`${(t.dist/1e3).toFixed(2)} km`:"-"}${Vl(t.duration)}${Oo(t.duration)} ${t.avgSpeed!=null?`${(t.avgSpeed*3.6).toFixed(1)} km/h`:"-"}${i}${a} ${t.avgVam!=null?`${t.avgVam} m/h`:"-"} ${t.avgWatts!=null?`${t.avgWatts} W`:"-"} ${t.avgHR!=null?`${t.avgHR} bpm`:"-"}
- - ${Os()} + + ${Rs()} - ${d.map(T=>` - + ${l.map(f=>` + - ${Ys(T,T.sport,T.date)} + ${Ns(f,f.sport,f.date)} `).join("")} @@ -380,53 +380,53 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<" `} `}return` -
+
- ${a?"expand_more":"chevron_right"} -
${me(n.name)} edit
-
straighten ${Ul(n).toFixed(2)} km | ${n.points.length} points | ${i.length} matching tracks
+ ${r?"expand_more":"chevron_right"} +
${ue(n.name)} edit
+
straighten ${Vo(n).toFixed(2)} km | ${n.points.length} points | ${a.length} matching tracks
- ${r} + ${d}
`}).join("")}
- `,document.getElementById("btn-new-course")?.addEventListener("click",()=>{Ol()}),document.getElementById("btn-done-edit")?.addEventListener("click",()=>{Yn=!1,Bt.setCustomClickHandler(null),document.getElementById("map-container")?.classList.remove("editing-mode"),je()}),t.querySelectorAll(".course-item").forEach(n=>{let o=n.dataset.id;n.querySelector(".btn-edit-course")?.addEventListener("click",i=>{i.stopPropagation(),Vo(o)}),n.querySelector(".btn-rename-course")?.addEventListener("click",i=>{i.stopPropagation(),Yl(o)}),n.querySelector(".btn-delete-course")?.addEventListener("click",i=>{i.stopPropagation(),jl(o)}),n.querySelector(".course-item-header")?.addEventListener("click",i=>{i.target.closest(".course-actions")||i.target.closest(".btn-rename-course")||(Tn(o),dn=dn===o?null:o,je())}),n.querySelectorAll(".course-track-row").forEach(i=>{let a=i.dataset.trackId,r=parseInt(i.dataset.start,10),d=parseInt(i.dataset.end,10);i.querySelector(".track-name-cell")?.addEventListener("click",T=>{T.stopPropagation();let $=Bt.getTrackData(a);$&&(_e(a,!1),setTimeout(()=>{let M=$.points,F=M.find(h=>h.time!=null)?.time||0,I=Math.max(0,Math.min(r,M.length-1)),b=Math.max(0,Math.min(d,M.length-1)),g=Math.max(0,((M[I]?.time||0)-F)/1e3),u=Math.max(0,((M[b]?.time||0)-F)/1e3),v=ft.getXAxis(),k=g,f=u;v==="distance"&&(k=Math.max(0,(M[I]?.dist||0)/1e3),f=Math.max(0,(M[b]?.dist||0)/1e3)),Gt.patch({sel:[k,f],tab:"graphs"},!0),ft.restoreSelection(g,u),Bt.highlightSegment(a,$.points,r,d,!0)},50))}),i.addEventListener("mouseenter",()=>{Bt.setTrackHover(a,!0)}),i.addEventListener("mouseleave",()=>{Bt.setTrackHover(a,!1)})})})}function Ol(){let t=`Course ${we.length+1}`,s={id:Math.random().toString(36).substring(2,9),name:t,points:[]};we.push(s),Vs(),je(),Vo(s.id)}function Yl(t){let s=we.find(r=>r.id===t);if(!s)return;let e=document.querySelector(`.course-item[data-id="${t}"]`);if(!e)return;let n=e.querySelector(".course-name");if(!n)return;let o=s.name;n.innerHTML=``;let i=n.querySelector(".course-name-input");i.focus(),i.select();let a=()=>{let r=i.value.trim();r!==""&&(s.name=r,Vs()),je()};i.addEventListener("blur",a),i.addEventListener("keydown",r=>{r.key==="Enter"?a():r.key==="Escape"&&je()})}function Vo(t){un=t,Yn=!0,je()}function Oo(){ql=null}function Tn(t,s=!1){un=t,s&&(dn=t),Yn=!1,Bt.setCustomClickHandler(null),Oo(),je()}function jl(t){confirm("Are you sure you want to delete this course?")&&(we=we.filter(s=>s.id!==t),un===t&&(un=null,Oo()),Vs(),je())}var Ls=()=>{},js=[];function Qo(){js.forEach(t=>t.destroy()),js=[]}function Ko(t){Ls=t}function Jo(){Qo(),document.querySelectorAll(".hr-settings-popup").forEach(s=>s.remove());let t=document.getElementById("insights-view");t&&(t.innerHTML=` + `,document.getElementById("btn-new-course")?.addEventListener("click",()=>{Yo()}),document.getElementById("btn-done-edit")?.addEventListener("click",()=>{Yn=!1,qt.setCustomClickHandler(null),document.getElementById("map-container")?.classList.remove("editing-mode"),je()}),t.querySelectorAll(".course-item").forEach(n=>{let i=n.dataset.id;n.querySelector(".btn-edit-course")?.addEventListener("click",a=>{a.stopPropagation(),Wl(i)}),n.querySelector(".btn-rename-course")?.addEventListener("click",a=>{a.stopPropagation(),jo(i)}),n.querySelector(".btn-delete-course")?.addEventListener("click",a=>{a.stopPropagation(),Go(i)}),n.querySelector(".course-item-header")?.addEventListener("click",a=>{a.target.closest(".course-actions")||a.target.closest(".btn-rename-course")||(Pn(i),dn=dn===i?null:i,je())}),n.querySelectorAll(".course-track-row").forEach(a=>{let r=a.dataset.trackId,d=parseInt(a.dataset.start,10),l=parseInt(a.dataset.end,10);a.querySelector(".track-name-cell")?.addEventListener("click",f=>{f.stopPropagation();let y=qt.getTrackData(r);y&&(We(r,!1),setTimeout(()=>{let S=y.points,I=S.find(m=>m.time!=null)?.time||0,B=Math.max(0,Math.min(d,S.length-1)),v=Math.max(0,Math.min(l,S.length-1)),g=Math.max(0,((S[B]?.time||0)-I)/1e3),E=Math.max(0,((S[v]?.time||0)-I)/1e3),H=St.getXAxis(),L=g,h=E;H==="distance"&&(L=Math.max(0,(S[B]?.dist||0)/1e3),h=Math.max(0,(S[v]?.dist||0)/1e3)),jt.patch({sel:[L,h],tab:"graphs"},!0),St.restoreSelection(g,E),qt.highlightSegment(r,y.points,d,l,!0)},50))}),a.addEventListener("mouseenter",()=>{qt.setTrackHover(r,!0)}),a.addEventListener("mouseleave",()=>{qt.setTrackHover(r,!1)})})})}function Yo(){let t=`Course ${xe.length+1}`,s={id:Math.random().toString(36).substring(2,9),name:t,points:[]};xe.push(s),_s(),je(),Wl(s.id)}function jo(t){let s=xe.find(d=>d.id===t);if(!s)return;let e=document.querySelector(`.course-item[data-id="${t}"]`);if(!e)return;let n=e.querySelector(".course-name");if(!n)return;let i=s.name;n.innerHTML=``;let a=n.querySelector(".course-name-input");a.focus(),a.select();let r=()=>{let d=a.value.trim();d!==""&&(s.name=d,_s()),je()};a.addEventListener("blur",r),a.addEventListener("keydown",d=>{d.key==="Enter"?r():d.key==="Escape"&&je()})}function Wl(t){un=t,Yn=!0,je()}function ql(){zo=null}function Pn(t,s=!1){un=t,s&&(dn=t),Yn=!1,qt.setCustomClickHandler(null),ql(),je()}function Go(t){confirm("Are you sure you want to delete this course?")&&(xe=xe.filter(s=>s.id!==t),un===t&&(un=null,ql()),_s(),je())}var Ts=()=>{},Ws=[];function jl(){Ws.forEach(t=>t.destroy()),Ws=[]}function qs(t){Ts=t}function Gl(){jl(),document.querySelectorAll(".hr-settings-popup").forEach(s=>s.remove());let t=document.getElementById("insights-view");t&&(t.innerHTML=`
no_sim
Select a track for insights
- `)}var mn=16384,Yo=new Float64Array(mn),jo=new Float64Array(mn),Go=new Float64Array(mn),Zl=new Float64Array(mn),Xl=new Float64Array(mn),$s=new Float64Array(mn+1),Ps=new Float64Array(mn+1),Zo=[1,2,3,5,8,10,15,20,30,45,60,90,120,180,240,300,420,600,900,1200];function Ql(t,s,e){let n=Math.min(t.length,mn);if(n===0)return{minWPrimeBal:2e4,matchesBurned:0,decouplingPct:0,quadrantPct:[25,25,25,25],sectionPeaks:[]};for(let p=0;p0?Y*Z*36:0;Yo[p]=_,jo[p]=1/W,Go[p]=O,Zl[p]=Y,Xl[p]=lt,$s[p+1]=$s[p]+_,Ps[p+1]=Ps[p]+lt}let o=0;for(let p=0;pn)continue;let _=n-E,W=0,O=0;for(let Y=0;Y<=_;Y++){let Z=$s[Y+E]-$s[Y],lt=Ps[Y+E]-Ps[Y];Z>W&&(W=Z),lt>O&&(O=lt)}o+=(W+O)/E}let i=2e4,a=2e4,r=0,d=!1,T=n>>1,$=0,M=0,F=[0,0,0,0],I=88,b=s/I;for(let p=0;p0?O:0,Ft=546*Math.exp(-.008*(Y+Z*.625))+316;a=Math.min(2e4,a-Z+(2e4-a)*(1/Ft)),a17500&&d&&(d=!1);let rt=E/_;rt>=b&&_>=I?F[0]++:rt>=b&&_0?$/T:1,u=n-T>0?M/(n-T):1,v=g>0?(g-u)/g*100:0,k=[Number((F[0]/n*100).toFixed(1)),Number((F[1]/n*100).toFixed(1)),Number((F[2]/n*100).toFixed(1)),Number((F[3]/n*100).toFixed(1))],h=(e&&e.length>0?e.filter(p=>p.kind==="quarter"||p.kind==="climb"||p.kind==="sprint"):[]).slice(0,8).map(p=>{let E=p.stats,_=E.duration&&E.duration>0?E.duration/36e5:0;return{label:p.label,distKm:Number((E.totalDist/1e3).toFixed(2)),avgPower:E.avgPower||0,peak60sPower:E.powerCurve?.[60]?.power||E.avgPower||0,avgHR:E.avgHR||0,vam:_>0?Math.round(E.elevGain/_):0}});return o<-1e12&&(i=0),{minWPrimeBal:i,matchesBurned:r,decouplingPct:v,quadrantPct:k,sectionPeaks:h}}function be(t,s=[],e=null){Qo();let n=document.getElementById("insights-view");if(!n)return;if(!t){n.innerHTML="";return}Jt.ensureCurvesAndZones(t),t.stats.sections||(t.stats.sections=Jt.analyzeTrackSections(t.points));let o=e||Gt.get().sel||null,i=t.points,a=t.stats;if(o&&t.points.length>4){let g=t.points[0].time||0,u=g+o[0]*1e3,v=g+o[1]*1e3,k=t.points.findIndex(h=>(h.time||0)>=u),f=t.points.findIndex(h=>(h.time||0)>=v);k===-1&&(k=0),f===-1&&(f=t.points.length-1),f>k+4&&(i=t.points.slice(k,f+1),a=Jt.computeStats(i,!0))}if(!a.powerCurve&&!a.hrZones&&!a.hrCurve){n.innerHTML=` + `)}var mn=16384,zl=new Float64Array(mn),Ul=new Float64Array(mn),Vl=new Float64Array(mn),Xo=new Float64Array(mn),Qo=new Float64Array(mn),xs=new Float64Array(mn+1),ws=new Float64Array(mn+1),Ol=[1,2,3,5,8,10,15,20,30,45,60,90,120,180,240,300,420,600,900,1200];function Ko(t,s,e){let n=Math.min(t.length,mn);if(n===0)return{minWPrimeBal:2e4,matchesBurned:0,decouplingPct:0,quadrantPct:[25,25,25,25],sectionPeaks:[]};for(let p=0;p0?Y*G*36:0;zl[p]=j,Ul[p]=1/U,Vl[p]=Q,Xo[p]=Y,Qo[p]=ot,xs[p+1]=xs[p]+j,ws[p+1]=ws[p]+ot}let i=0;for(let p=0;pn)continue;let j=n-k,U=0,Q=0;for(let Y=0;Y<=j;Y++){let G=xs[Y+k]-xs[Y],ot=ws[Y+k]-ws[Y];G>U&&(U=G),ot>Q&&(Q=ot)}i+=(U+Q)/k}let a=2e4,r=2e4,d=0,l=!1,f=n>>1,y=0,S=0,I=[0,0,0,0],B=88,v=s/B;for(let p=0;p0?Q:0,_t=546*Math.exp(-.008*(Y+G*.625))+316;r=Math.min(2e4,r-G+(2e4-r)*(1/_t)),r17500&&l&&(l=!1);let ct=k/j;ct>=v&&j>=B?I[0]++:ct>=v&&j0?y/f:1,E=n-f>0?S/(n-f):1,H=g>0?(g-E)/g*100:0,L=[Number((I[0]/n*100).toFixed(1)),Number((I[1]/n*100).toFixed(1)),Number((I[2]/n*100).toFixed(1)),Number((I[3]/n*100).toFixed(1))],m=(e&&e.length>0?e.filter(p=>p.kind==="quarter"||p.kind==="climb"||p.kind==="sprint"):[]).slice(0,8).map(p=>{let k=p.stats,j=k.duration&&k.duration>0?k.duration/36e5:0;return{label:p.label,distKm:Number((k.totalDist/1e3).toFixed(2)),avgPower:k.avgPower||0,peak60sPower:k.powerCurve?.[60]?.power||k.avgPower||0,avgHR:k.avgHR||0,vam:j>0?Math.round(k.elevGain/j):0}});return i<-1e12&&(a=0),{minWPrimeBal:a,matchesBurned:d,decouplingPct:H,quadrantPct:L,sectionPeaks:m}}function ke(t,s=[],e=null){jl();let n=document.getElementById("insights-view");if(!n)return;if(!t){n.innerHTML="";return}re.ensureCurvesAndZones(t),t.stats.sections||(t.stats.sections=re.analyzeTrackSections(t.points));let i=e||jt.get().sel||null,a=t.points,r=t.stats;if(i&&t.points.length>4){let g=t.points[0].time||0,E=g+i[0]*1e3,H=g+i[1]*1e3,L=t.points.findIndex(m=>(m.time||0)>=E),h=t.points.findIndex(m=>(m.time||0)>=H);L===-1&&(L=0),h===-1&&(h=t.points.length-1),h>L+4&&(a=t.points.slice(L,h+1),r=re.computeStats(a,!0))}if(!r.powerCurve&&!r.hrZones&&!r.hrCurve){n.innerHTML=`
analytics
No insights available for this track (requires Power or Heart Rate data)
- `;return}let r=Ql(i,Jt.getFTP(),t.stats.sections),d=r.minWPrimeBal;n.innerHTML=` -
- `;let T=document.getElementById("insights-grid");if(!T)return;let $=Math.round(T.getBoundingClientRect().width-42)||480;if(a.powerCurve&&Xo({grid:T,track:t,curve:a.powerCurve,metricKey:"power",label:"Power Curve",unit:"W",color:Nt.power.color,icon:"bolt",chartWidth:$}),a.hrCurve&&Xo({grid:T,track:t,curve:a.hrCurve,metricKey:"hr",label:"Heart Rate Curve",unit:"bpm",color:Nt.hr.color,icon:"favorite",chartWidth:$}),a.powerZones){let g=document.createElement("div");g.className="insight-card";let u="power",v=Nt.power.color;g.style.setProperty("--chart-color",v);let k=ft.getMapColorMetric()===u,f=a.powerZones.reduce((E,_)=>E+_,0),h=$n.getPowerZones(),p="";a.powerZones.forEach((E,_)=>{if(_>=h.length)return;let W=h[_],O=f>0?E/f*100:0,Y=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} W`:`> ${Math.round(W.min)} W`;p+=` + `;return}let d=Ko(a,re.getFTP(),t.stats.sections),l=d.minWPrimeBal;n.innerHTML=` +
+ `;let f=document.getElementById("insights-grid");if(!f)return;let y=Math.round(f.getBoundingClientRect().width-42)||480;if(r.powerCurve&&Yl({grid:f,track:t,curve:r.powerCurve,metricKey:"power",label:"Power Curve",unit:"W",color:Rt.power.color,icon:"bolt",chartWidth:y}),r.hrCurve&&Yl({grid:f,track:t,curve:r.hrCurve,metricKey:"hr",label:"Heart Rate Curve",unit:"bpm",color:Rt.hr.color,icon:"favorite",chartWidth:y}),r.powerZones){let g=document.createElement("div");g.className="insight-card";let E="power",H=Rt.power.color;g.style.setProperty("--chart-color",H);let L=St.getMapColorMetric()===E,h=r.powerZones.reduce((k,j)=>k+j,0),m=kn.getPowerZones(),p="";r.powerZones.forEach((k,j)=>{if(j>=m.length)return;let U=m[j],Q=h>0?k/h*100:0,Y=isFinite(U.max)?`${Math.round(U.min)} - ${Math.round(U.max)} W`:`> ${Math.round(U.min)} W`;p+=`
- Z${_+1} - ${W.name} + Z${j+1} + ${U.name} ${Y} - ${he(Math.round(E))} - ${O.toFixed(1)}% + ${he(Math.round(k))} + ${Q.toFixed(1)}%
-
+
`}),g.innerHTML=`
- boltPower Zones + boltPower Zones
-
@@ -435,26 +435,26 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
${p}
- `,T.appendChild(g),g.querySelector(".map-color-btn")?.addEventListener("click",E=>{E.stopPropagation(),ft.toggleMapColor(u);let _=ft.getMapColorMetric();T.querySelectorAll(".map-color-btn").forEach(W=>{let O=W;O.classList.toggle("active",O.dataset.metric===_)})}),g.querySelector(".btn-pw-settings")?.addEventListener("click",E=>{E.stopPropagation(),Jl(E.currentTarget,t)})}if(a.hrZones){let g=document.createElement("div");g.className="insight-card";let u="hr",v=Nt.hr.color;g.style.setProperty("--chart-color",v);let k=ft.getMapColorMetric()===u,f=a.hrZones.reduce((E,_)=>E+_,0),h=$n.getHRZones(),p="";a.hrZones.forEach((E,_)=>{if(_>=h.length)return;let W=h[_],O=f>0?E/f*100:0,Y=isFinite(W.max)?`${Math.round(W.min)} - ${Math.round(W.max)} bpm`:`> ${Math.round(W.min)} bpm`;p+=` + `,f.appendChild(g),g.querySelector(".map-color-btn")?.addEventListener("click",k=>{k.stopPropagation(),St.toggleMapColor(E);let j=St.getMapColorMetric();f.querySelectorAll(".map-color-btn").forEach(U=>{let Q=U;Q.classList.toggle("active",Q.dataset.metric===j)})}),g.querySelector(".btn-pw-settings")?.addEventListener("click",k=>{k.stopPropagation(),ti(k.currentTarget,t)})}if(r.hrZones){let g=document.createElement("div");g.className="insight-card";let E="hr",H=Rt.hr.color;g.style.setProperty("--chart-color",H);let L=St.getMapColorMetric()===E,h=r.hrZones.reduce((k,j)=>k+j,0),m=kn.getHRZones(),p="";r.hrZones.forEach((k,j)=>{if(j>=m.length)return;let U=m[j],Q=h>0?k/h*100:0,Y=isFinite(U.max)?`${Math.round(U.min)} - ${Math.round(U.max)} bpm`:`> ${Math.round(U.min)} bpm`;p+=`
- Z${_+1} - ${W.name} + Z${j+1} + ${U.name} ${Y} - ${he(Math.round(E))} - ${O.toFixed(1)}% + ${he(Math.round(k))} + ${Q.toFixed(1)}%
-
+
`}),g.innerHTML=`
- favoriteHeart Rate Zones + favoriteHeart Rate Zones
-
@@ -463,53 +463,53 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
${p}
- `,T.appendChild(g),g.querySelector(".map-color-btn")?.addEventListener("click",E=>{E.stopPropagation(),ft.toggleMapColor(u);let _=ft.getMapColorMetric();T.querySelectorAll(".map-color-btn").forEach(W=>{let O=W;O.classList.toggle("active",O.dataset.metric===_)})}),g.querySelector(".btn-hr-settings")?.addEventListener("click",E=>{E.stopPropagation(),Kl(E.currentTarget,t)})}let M=document.createElement("div");M.className="insight-card";let F=a.totalDist/1e3,I=F>0?a.elevGain/(F*1e3)*100:0;if(M.innerHTML=` + `,f.appendChild(g),g.querySelector(".map-color-btn")?.addEventListener("click",k=>{k.stopPropagation(),St.toggleMapColor(E);let j=St.getMapColorMetric();f.querySelectorAll(".map-color-btn").forEach(U=>{let Q=U;Q.classList.toggle("active",Q.dataset.metric===j)})}),g.querySelector(".btn-hr-settings")?.addEventListener("click",k=>{k.stopPropagation(),Jo(k.currentTarget,t)})}let S=document.createElement("div");S.className="insight-card";let I=r.totalDist/1e3,B=I>0?r.elevGain/(I*1e3)*100:0;if(S.innerHTML=`
- terrainClimbing Analysis + terrainClimbing Analysis
Total Ascent
-
${Math.round(a.elevGain)} m
+
${Math.round(r.elevGain)} m
Total Descent
-
${Math.round(a.elevLoss)} m
+
${Math.round(r.elevLoss)} m
Avg Grade
-
${I.toFixed(1)} %
+
${B.toFixed(1)} %
VAM
-
${a.duration&&a.duration>0?Math.round(a.elevGain/a.duration*36e5):0} m/h
+
${r.duration&&r.duration>0?Math.round(r.elevGain/r.duration*36e5):0} m/h
- `,T.appendChild(M),a.avgPower&&a.avgHR){let g=document.createElement("div");g.className="insight-card";let u=a.avgPower/a.avgHR;g.innerHTML=` + `,f.appendChild(S),r.avgPower&&r.avgHR){let g=document.createElement("div");g.className="insight-card";let E=r.avgPower/r.avgHR;g.innerHTML=`
monitoringEfficiency & W' Balance
EF (Avg Power / Avg HR)
-
${u.toFixed(2)}
+
${E.toFixed(2)}
Aerobic Decoupling
-
${r.decouplingPct.toFixed(1)} %
+
${d.decouplingPct.toFixed(1)} %
Min W' Reserve
-
${(r.minWPrimeBal/1e3).toFixed(1)} kJ (${r.matchesBurned} matches)
+
${(d.minWPrimeBal/1e3).toFixed(1)} kJ (${d.matchesBurned} matches)
Quadrants (Q1/Q2/Q3/Q4)
-
${r.quadrantPct.join("% / ")}%
+
${d.quadrantPct.join("% / ")}%
- `,T.appendChild(g)}if(r.sectionPeaks.length>0){let g=document.createElement("div");g.className="insight-card",g.innerHTML=` + `,f.appendChild(g)}if(d.sectionPeaks.length>0){let g=document.createElement("div");g.className="insight-card",g.innerHTML=`
- segmentTrack Section & Climb Efforts + segmentTrack Section & Climb Efforts
Track (${d.length})Track (${l.length})
-
- ${me(T.displayName)} +
+ ${ue(f.displayName)}
@@ -523,50 +523,50 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<" - ${r.sectionPeaks.map(u=>` + ${d.sectionPeaks.map(E=>` - - - - - - + + + + + + `).join("")}
${me(u.label)}${u.distKm} km${u.avgPower} W${u.peak60sPower} W${u.avgHR} bpm${u.vam} m/h${ue(E.label)}${E.distKm} km${E.avgPower} W${E.peak60sPower} W${E.avgHR} bpm${E.vam} m/h
- `,T.appendChild(g)}let b=No(t);if(b.length>0){let g=document.createElement("div");g.className="insight-card",g.style.cssText="column-span: all; display: block;",g.innerHTML=` -
routeCourses (${b.length})
+ `,f.appendChild(g)}let v=Dl(t);if(v.length>0){let g=document.createElement("div");g.className="insight-card",g.style.cssText="column-span: all; display: block;",g.innerHTML=` +
routeCourses (${v.length})
- ${Os()} + ${Rs()} - ${b.map(u=>{let v=ks(t,u.points),k="";if(v){let f=wn(t,v.startIdx,v.endIdx),h=t.stats?.startTime||t.points?.[0]?.time,p=h?nn(h):"-";k=Ys(f,t.sport||null,p)}else k='';return` - + ${v.map(E=>{let H=vs(t,E.points),L="";if(H){let h=wn(t,H.startIdx,H.endIdx),m=t.stats?.startTime||t.points?.[0]?.time,p=m?nn(m):"-";L=Ns(h,t.sport||null,p)}else L='';return` + - ${k} + ${L} `}).join("")}
Name
No continuous segment
No continuous segment
- ${me(u.name)} + ${ue(E.name)}
- `,T.appendChild(g),g.querySelectorAll(".clickable-course").forEach(u=>{u.addEventListener("click",()=>{let v=u.dataset.id;Tn(v,!0),Gt.patch({tab:"courses"},!0)}),u.addEventListener("mouseenter",()=>{let v=u.dataset.id,k=b.find(f=>f.id===v);if(k){let f=ks(t,k.points);f&&Bt.highlightSegment(t.id,t.points,f.startIdx,f.endIdx,!1)}}),u.addEventListener("mouseleave",()=>{Bt.clearHighlight()})})}}function Xo(t){let{grid:s,track:e,curve:n,metricKey:o,label:i,unit:a,color:r,icon:d,chartWidth:T}=t,$=ft.getMapColorMetric()===o,M=document.createElement("div");M.className="insight-card",M.style.setProperty("--chart-color",r),M.innerHTML=` + `,f.appendChild(g),g.querySelectorAll(".clickable-course").forEach(E=>{E.addEventListener("click",()=>{let H=E.dataset.id;Pn(H,!0),jt.patch({tab:"courses"},!0)}),E.addEventListener("mouseenter",()=>{let H=E.dataset.id,L=v.find(h=>h.id===H);if(L){let h=vs(t,L.points);h&&qt.highlightSegment(t.id,t.points,h.startIdx,h.endIdx,!1)}}),E.addEventListener("mouseleave",()=>{qt.clearHighlight()})})}}function Yl(t){let{grid:s,track:e,curve:n,metricKey:i,label:a,unit:r,color:d,icon:l,chartWidth:f}=t,y=St.getMapColorMetric()===i,S=document.createElement("div");S.className="insight-card",S.style.setProperty("--chart-color",d),S.innerHTML=`
- ${d}${i} + ${l}${a}
-
@@ -574,7 +574,7 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<" expand_more
-
+
- `,s.appendChild(M);let F=M.querySelector(".curve-table-wrap"),I=M.querySelector(".btn-toggle-table"),b=I.querySelector(".material-symbols-rounded");I.addEventListener("click",()=>{let f=F.style.display==="none";F.style.display=f?"block":"none",b.textContent=f?"expand_less":"expand_more"});let g=M.querySelector(".map-color-btn");g.addEventListener("click",f=>{f.stopPropagation();let h=g.dataset.metric;ft.toggleMapColor(h);let p=ft.getMapColorMetric();s.querySelectorAll(".map-color-btn").forEach(E=>{let _=E;_.classList.toggle("active",_.dataset.metric===p)})});let u=M.querySelector(".curve-tbody"),v=Object.keys(n).map(Number).sort((f,h)=>f-h);v.forEach(f=>{let h=n[f],p=h.power||h.hr||h.val,E=document.createElement("tr");E.innerHTML=` - ${ze(f)} - ${p} ${a} + `,s.appendChild(S);let I=S.querySelector(".curve-table-wrap"),B=S.querySelector(".btn-toggle-table"),v=B.querySelector(".material-symbols-rounded");B.addEventListener("click",()=>{let h=I.style.display==="none";I.style.display=h?"block":"none",v.textContent=h?"expand_less":"expand_more"});let g=S.querySelector(".map-color-btn");g.addEventListener("click",h=>{h.stopPropagation();let m=g.dataset.metric;St.toggleMapColor(m);let p=St.getMapColorMetric();s.querySelectorAll(".map-color-btn").forEach(k=>{let j=k;j.classList.toggle("active",j.dataset.metric===p)})});let E=S.querySelector(".curve-tbody"),H=Object.keys(n).map(Number).sort((h,m)=>h-m);H.forEach(h=>{let m=n[h],p=m.power||m.hr||m.val,k=document.createElement("tr");k.innerHTML=` + ${ze(h)} + ${p} ${r} - - `,u?.appendChild(E)}),u?.querySelectorAll(".btn-show-peak").forEach(f=>{f.addEventListener("click",h=>{let p=h.currentTarget,E=parseInt(p.dataset.idx),_=parseInt(p.dataset.len),W=e.points,O=Math.min(W.length-1,E+_-1),Y=W[0].time||0,Z=((W[E].time||Y)-Y)/1e3,lt=((W[O].time||Y)-Y)/1e3;Gt.patch({sel:[Z,lt]}),Bt.highlightSegment(e.id,W,E,O,!0)})});let k=M.querySelector(`#${o}-curve-chart`);if(k){let f=v,h=v.map(W=>n[W].power||n[W].hr||n[W].val),p=document.createElement("div");p.className="cur-y-val",p.style.cssText=`color:${r};display:none;border-color:${r}44`,k.style.position="relative",k.appendChild(p);let E={id:`${o}-curve`,width:0,height:250,padding:[10,10,0,10],scales:{x:{time:!1,distr:3,auto:!0},y:{auto:!0}},series:[{},{label:i,stroke:r,width:2,fill:le(r,.1),points:{show:!0,size:5,fill:r}}],axes:[{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},show:!0,values:()=>[],ticks:{show:!1},font:"10px system-ui, sans-serif",size:30},{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},values:(W,O)=>O.map(Y=>`${Y}${a}`),font:"10px system-ui, sans-serif",size:50}],cursor:{drag:{x:!1,y:!1},dataIdx:(W,O,Y)=>Y},hooks:{draw:[W=>{let O=W.ctx,Y=window.devicePixelRatio||1,Z=W.bbox,lt=[1,2,5,10,20,30,60,120,300,600,1200,1800,3600,7200,10800],Ft=f[f.length-1];O.save(),O.fillStyle="#555564",O.textAlign="center",O.textBaseline="top",O.font=`${10*Y}px system-ui, sans-serif`;let rt=-100;lt.forEach(w=>{if(w>Ft)return;let y=W.valToPos(w,"x",!0);y>rt+30*Y&&y{W.over.addEventListener("click",()=>{let O=W.cursor.idx;if(O!=null&&f[O]!=null){let Y=f[O],lt=n[Y].idx,Ft=e.points,rt=Math.min(Ft.length-1,lt+Y-1),w=Ft[0].time||0,y=((Ft[lt].time||w)-w)/1e3,m=((Ft[rt].time||w)-w)/1e3;Gt.patch({sel:[y,m]}),Bt.highlightSegment(e.id,Ft,lt,rt,!0)}})}],setCursor:[W=>{if(!W._ready)return;W.redraw(!1);let O=W.cursor.idx,Y=W.ctx,Z=window.devicePixelRatio||1,lt=W.bbox,Ft=O!=null&&h[O]!=null&&W.cursor.left>=0,rt=W.cursor.top,w=W.valToPos(h[O],"y",!1);if(Ft&&Math.abs(rt-w)<40){let m=W.valToPos(f[O],"x",!1),N=W.valToPos(h[O],"y",!1),C=f[O];p.innerHTML=`${ze(C)}: ${h[O]} ${a}`,p.style.transform=`translate(${m}px, ${N}px) translate(15px, 15px)`,p.style.display="";let G=W.valToPos(f[O],"x",!0),U=W.valToPos(h[O],"y",!0);Y.save(),Y.beginPath(),Y.setLineDash([2*Z,2*Z]),Y.strokeStyle=le(r,.4),Y.lineWidth=1*Z,Y.moveTo(G,lt.top),Y.lineTo(G,lt.top+lt.height),Y.stroke(),Y.beginPath(),Y.setLineDash([]),Y.arc(G,U,3*Z,0,Math.PI*2),Y.fillStyle="#0e0e10",Y.fill(),Y.strokeStyle=r,Y.lineWidth=2*Z,Y.stroke(),Y.restore()}else p.style.display="none"}]},legend:{show:!1}};E.width=T||Math.round(s.getBoundingClientRect().width-42)||k.clientWidth||500;let _=new Gl(E,[f,h],k);_._ready=!0,js.push(_)}}function Kl(t,s){document.querySelectorAll(".hr-settings-popup").forEach(a=>a.remove());let e=document.createElement("div");e.className="hr-settings-popup";let n=Jt.getHRZones();e.innerHTML=` + `,E?.appendChild(k)}),E?.querySelectorAll(".btn-show-peak").forEach(h=>{h.addEventListener("click",m=>{let p=m.currentTarget,k=parseInt(p.dataset.idx),j=parseInt(p.dataset.len),U=e.points,Q=Math.min(U.length-1,k+j-1),Y=U[0].time||0,G=((U[k].time||Y)-Y)/1e3,ot=((U[Q].time||Y)-Y)/1e3;jt.patch({sel:[G,ot]}),qt.highlightSegment(e.id,U,k,Q,!0)})});let L=S.querySelector(`#${i}-curve-chart`);if(L){let h=H,m=H.map(U=>n[U].power||n[U].hr||n[U].val),p=document.createElement("div");p.className="cur-y-val",p.style.cssText=`color:${d};display:none;border-color:${d}44`,L.style.position="relative",L.appendChild(p);let k={id:`${i}-curve`,width:0,height:250,padding:[10,10,0,10],scales:{x:{time:!1,distr:3,auto:!0},y:{auto:!0}},series:[{},{label:a,stroke:d,width:2,fill:le(d,.1),points:{show:!0,size:5,fill:d}}],axes:[{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},show:!0,values:()=>[],ticks:{show:!1},font:"10px system-ui, sans-serif",size:30},{stroke:"#555564",grid:{stroke:"#2e2e34",width:1},values:(U,Q)=>Q.map(Y=>`${Y}${r}`),font:"10px system-ui, sans-serif",size:50}],cursor:{drag:{x:!1,y:!1},dataIdx:(U,Q,Y)=>Y},hooks:{draw:[U=>{let Q=U.ctx,Y=window.devicePixelRatio||1,G=U.bbox,ot=[1,2,5,10,20,30,60,120,300,600,1200,1800,3600,7200,10800],_t=h[h.length-1];Q.save(),Q.fillStyle="#555564",Q.textAlign="center",Q.textBaseline="top",Q.font=`${10*Y}px system-ui, sans-serif`;let ct=-100;ot.forEach(w=>{if(w>_t)return;let b=U.valToPos(w,"x",!0);b>ct+30*Y&&b{U.over.addEventListener("click",()=>{let Q=U.cursor.idx;if(Q!=null&&h[Q]!=null){let Y=h[Q],ot=n[Y].idx,_t=e.points,ct=Math.min(_t.length-1,ot+Y-1),w=_t[0].time||0,b=((_t[ot].time||w)-w)/1e3,u=((_t[ct].time||w)-w)/1e3;jt.patch({sel:[b,u]}),qt.highlightSegment(e.id,_t,ot,ct,!0)}})}],setCursor:[U=>{if(!U._ready)return;U.redraw(!1);let Q=U.cursor.idx,Y=U.ctx,G=window.devicePixelRatio||1,ot=U.bbox,_t=Q!=null&&m[Q]!=null&&U.cursor.left>=0,ct=U.cursor.top,w=U.valToPos(m[Q],"y",!1);if(_t&&Math.abs(ct-w)<40){let u=U.valToPos(h[Q],"x",!1),R=U.valToPos(m[Q],"y",!1),M=h[Q];p.innerHTML=`${ze(M)}: ${m[Q]} ${r}`,p.style.transform=`translate(${u}px, ${R}px) translate(15px, 15px)`,p.style.display="";let O=U.valToPos(h[Q],"x",!0),q=U.valToPos(m[Q],"y",!0);Y.save(),Y.beginPath(),Y.setLineDash([2*G,2*G]),Y.strokeStyle=le(d,.4),Y.lineWidth=1*G,Y.moveTo(O,ot.top),Y.lineTo(O,ot.top+ot.height),Y.stroke(),Y.beginPath(),Y.setLineDash([]),Y.arc(O,q,3*G,0,Math.PI*2),Y.fillStyle="#0e0e10",Y.fill(),Y.strokeStyle=d,Y.lineWidth=2*G,Y.stroke(),Y.restore()}else p.style.display="none"}]},legend:{show:!1}};k.width=f||Math.round(s.getBoundingClientRect().width-42)||L.clientWidth||500;let j=new Zo(k,[h,m],L);j._ready=!0,Ws.push(j)}}function Jo(t,s){document.querySelectorAll(".hr-settings-popup").forEach(r=>r.remove());let e=document.createElement("div");e.className="hr-settings-popup";let n=re.getHRZones();e.innerHTML=`
Configure HR Zones (bpm)
@@ -616,7 +616,7 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
- `;let o=t.getBoundingClientRect();e.style.cssText=` + `;let i=t.getBoundingClientRect();e.style.cssText=` position: fixed; z-index: 10000; background: var(--surface2); @@ -625,9 +625,9 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<" padding: 16px; width: 200px; box-shadow: 0 8px 32px rgba(0,0,0,0.6); - left: ${o.right-200}px; - top: ${o.bottom+8}px; - `,document.body.appendChild(e),e.querySelector(".save-btn")?.addEventListener("click",async()=>{let a=e.querySelectorAll(".hr-zone-input"),r=Array.from(a).map(d=>parseInt(d.value)||0);for(let d=1;d{!e.contains(a.target)&&!t.contains(a.target)&&(e.remove(),document.removeEventListener("click",i))};setTimeout(()=>document.addEventListener("click",i),10)}function Jl(t,s){document.querySelectorAll(".pw-settings-popup").forEach(a=>a.remove());let e=document.createElement("div");e.className="pw-settings-popup";let n=Jt.getFTP();e.innerHTML=` + left: ${i.right-200}px; + top: ${i.bottom+8}px; + `,document.body.appendChild(e),e.querySelector(".save-btn")?.addEventListener("click",async()=>{let r=e.querySelectorAll(".hr-zone-input"),d=Array.from(r).map(l=>parseInt(l.value)||0);for(let l=1;l{!e.contains(r.target)&&!t.contains(r.target)&&(e.remove(),document.removeEventListener("click",a))};setTimeout(()=>document.addEventListener("click",a),10)}function ti(t,s){document.querySelectorAll(".pw-settings-popup").forEach(r=>r.remove());let e=document.createElement("div");e.className="pw-settings-popup";let n=re.getFTP();e.innerHTML=`
Configure FTP (Watts)
@@ -636,7 +636,7 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
- `;let o=t.getBoundingClientRect();e.style.cssText=` + `;let i=t.getBoundingClientRect();e.style.cssText=` position: fixed; z-index: 10000; background: var(--surface2); @@ -645,27 +645,27 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<" padding: 16px; width: 200px; box-shadow: 0 8px 32px rgba(0,0,0,0.6); - left: ${o.right-200}px; - top: ${o.bottom+8}px; - `,document.body.appendChild(e),e.querySelector(".save-btn")?.addEventListener("click",async()=>{let a=e.querySelector("#ftp-input"),r=parseInt(a.value)||200;Jt.setFTP(r),await ce.set("ftp",r),s.stats=Jt.computeStats(s.points,!0),await ce.save(s),be(s),e.remove(),Ls(`FTP updated to ${r}W`)});let i=a=>{!e.contains(a.target)&&!t.contains(a.target)&&(e.remove(),document.removeEventListener("click",i))};setTimeout(()=>document.addEventListener("click",i),10)}import tl from"uplot";var Te=[],$e=null,pe=null,fn="power",Qe="hr",ve=null,Ie=[],Xe=[],pn=null,He=!1;function jn(){let t=document.getElementById("combined-time-val");if(t&&ve!==null&&Ie[ve]){let s=Ie[ve][2];t.textContent=`${he(s)}`}}function nl(){pn&&(clearInterval(pn),pn=null),pe&&(pe.destroy(),pe=null),Te=[],$e=null,fn="power",Qe="hr",ve=null,Ie=[],Xe=[],He=!1;let t=document.getElementById("combined-tooltip");t&&t.remove();let s=document.getElementById("combined-view");s&&(s.innerHTML=` + left: ${i.right-200}px; + top: ${i.bottom+8}px; + `,document.body.appendChild(e),e.querySelector(".save-btn")?.addEventListener("click",async()=>{let r=e.querySelector("#ftp-input"),d=parseInt(r.value)||200;re.setFTP(d),await ge.set("ftp",d),s.stats=re.computeStats(s.points,!0),await ge.save(s),ke(s),e.remove(),Ts(`FTP updated to ${d}W`)});let a=r=>{!e.contains(r.target)&&!t.contains(r.target)&&(e.remove(),document.removeEventListener("click",a))};setTimeout(()=>document.addEventListener("click",a),10)}import Zl from"uplot";var we=[],$e=null,me=null,fn="power",Qe="hr",be=null,Ae=[],Xe=[],pn=null,Ie=!1;function jn(){let t=document.getElementById("combined-time-val");if(t&&be!==null&&Ae[be]){let s=Ae[be][2];t.textContent=`${he(s)}`}}function Ql(){pn&&(clearInterval(pn),pn=null),me&&(me.destroy(),me=null),we=[],$e=null,fn="power",Qe="hr",be=null,Ae=[],Xe=[],Ie=!1;let t=document.getElementById("combined-tooltip");t&&t.remove();let s=document.getElementById("combined-view");s&&(s.innerHTML=`
no_sim
Select a track for combined analysis
- `)}var ti=16384,Gs=new Float64Array(32*32);function ei(t,s){let e=s.length>=2?s:t,n=Math.min(e.length,8);Gs.fill(0);let o=[{label:"Power vs Heart Rate",getX:F=>F.power,getY:F=>F.hr},{label:"Speed vs Gradient",getX:F=>F.speed!=null?F.speed*3.6:void 0,getY:F=>F.gradient},{label:"Cadence vs Power",getX:F=>F.cad,getY:F=>F.power},{label:"Elevation vs VAM",getX:F=>F.ele,getY:F=>F.verticalSpeed},{label:"Temperature vs HR",getX:F=>F.temp,getY:F=>F.hr}],i=0,a=0,r=[];for(let F=0;F2){let E=b/f,_=g/f,W=Math.max(0,u/f-E*E),O=Math.max(0,v/f-_*_),Y=k/f-E*_,Z=Math.sqrt(W*O);h=Z>1e-9?Y/Z:0,p=W>1e-9?Y/W:0}i+=f,a+=Math.abs(h)*100+Math.abs(p),r.push({pairLabel:I.label,rVal:h,slope:p,samples:f})}for(let F=0;F<1024;F++)a+=Gs[F]*.001;let d=["Q1 (0\u201325%)","Q2 (25\u201350%)","Q3 (50\u201375%)","Q4 (75\u2013100%)"],T=[],$=t[0],M=t[1]||t[0];for(let F=0;F<4;F++){let I=F*.25,b=(F+1)*.25,g=f=>{let h=f.points||[],p=Math.floor(h.length*I),E=Math.max(p+1,Math.floor(h.length*b)),_=0,W=0,O=0,Y=0;for(let Z=p;Z0?Math.round(_/Y):0,hr:Y>0?Math.round(W/Y):0,speedKmh:Y>0?O/Y:0}},u=g($),v=g(M),k=0;for(let f=0;f0?Math.round(k/n):0})}return{aggPts:i,corrSum:a,correlations:r,sectionRows:T}}function Zs(t,s){fn=t,Qe=s,Te.length>=2?Fe(Te):$e&&Fe($e)}function Zn(t){He!==t&&(He=t,Te.length>=2?Fe(Te):$e&&Fe($e))}function Xn(t){let s=Math.max(0,Math.min(1,t)),e=Ie.length>0?Ie.length-1:$e?Math.max(0,$e.points.length-1):0;ve=Math.round(s*e);let n=document.getElementById("combined-time-slider");n&&(n.max=`${e}`,n.value=`${ve}`),jn(),pe&&pe.redraw()}function Fe(t,s=[]){Array.isArray(t)?(Te=t,$e=t[0]||null):t?(Te=[t],$e=t):(Te=[],$e=null);let e=document.getElementById("combined-view");if(!e)return;let n=$e;if(!n){e.innerHTML=` + `)}var ei=16384,zs=new Float64Array(32*32);function ni(t,s){let e=s.length>=2?s:t,n=Math.min(e.length,8);zs.fill(0);let i=[{label:"Power vs Heart Rate",getX:I=>I.power,getY:I=>I.hr},{label:"Speed vs Gradient",getX:I=>I.speed!=null?I.speed*3.6:void 0,getY:I=>I.gradient},{label:"Cadence vs Power",getX:I=>I.cad,getY:I=>I.power},{label:"Elevation vs VAM",getX:I=>I.ele,getY:I=>I.verticalSpeed},{label:"Temperature vs HR",getX:I=>I.temp,getY:I=>I.hr}],a=0,r=0,d=[];for(let I=0;I2){let k=v/h,j=g/h,U=Math.max(0,E/h-k*k),Q=Math.max(0,H/h-j*j),Y=L/h-k*j,G=Math.sqrt(U*Q);m=G>1e-9?Y/G:0,p=U>1e-9?Y/U:0}a+=h,r+=Math.abs(m)*100+Math.abs(p),d.push({pairLabel:B.label,rVal:m,slope:p,samples:h})}for(let I=0;I<1024;I++)r+=zs[I]*.001;let l=["Q1 (0\u201325%)","Q2 (25\u201350%)","Q3 (50\u201375%)","Q4 (75\u2013100%)"],f=[],y=t[0],S=t[1]||t[0];for(let I=0;I<4;I++){let B=I*.25,v=(I+1)*.25,g=h=>{let m=h.points||[],p=Math.floor(m.length*B),k=Math.max(p+1,Math.floor(m.length*v)),j=0,U=0,Q=0,Y=0;for(let G=p;G0?Math.round(j/Y):0,hr:Y>0?Math.round(U/Y):0,speedKmh:Y>0?Q/Y:0}},E=g(y),H=g(S),L=0;for(let h=0;h0?Math.round(L/n):0})}return{aggPts:a,corrSum:r,correlations:d,sectionRows:f}}function Us(t,s){fn=t,Qe=s,we.length>=2?qe(we):$e&&qe($e)}function Vs(t){Ie!==t&&(Ie=t,we.length>=2?qe(we):$e&&qe($e))}function Ss(t){let s=Math.max(0,Math.min(1,t)),e=Ae.length>0?Ae.length-1:$e?Math.max(0,$e.points.length-1):0;be=Math.round(s*e);let n=document.getElementById("combined-time-slider");n&&(n.max=`${e}`,n.value=`${be}`),jn(),me&&me.redraw()}function qe(t,s=[]){Array.isArray(t)?(we=t,$e=t[0]||null):t?(we=[t],$e=t):(we=[],$e=null);let e=document.getElementById("combined-view");if(!e)return;let n=$e;if(!n){e.innerHTML=`
no_sim
Select a track for combined analysis
- `;return}let o=ft.METRICS,i=[];for(let b in o){let g=o[b];n.points.some(u=>u[g.field]!=null)&&i.push(b)}!i.includes(fn)&&i.length>0&&(fn=i[0]),!i.includes(Qe)&&i.length>1?Qe=i[1]:!i.includes(Qe)&&i.length>0&&(Qe=i[0]);let a=o[fn],r=o[Qe];e.style.overflow="hidden";let d="";if(Te.length>=2){let{aggPts:b,corrSum:g,correlations:u,sectionRows:v}=ei(Te,s),k=Te[0],f=Te[1],h=k.stats,p=f.stats,E=((p.totalDist-h.totalDist)/1e3).toFixed(2),_=((p.avgPower||0)-(h.avgPower||0)).toFixed(0),W=((p.avgHR||0)-(h.avgHR||0)).toFixed(0),O=(p.elevGain-h.elevGain).toFixed(0),Y=(p.shifts||0)-(h.shifts||0),Z=((h.totalDist+p.totalDist)/1e3).toFixed(2),lt=(h.elevGain+p.elevGain).toFixed(0),Ft=((h.duration||0)+(p.duration||0))/1e3,rt=Math.round(((h.avgPower||0)+(p.avgPower||0))/2),w=Math.max(h.maxPower||0,p.maxPower||0),y=Math.round(((h.avgHR||0)+(p.avgHR||0))/2),m=Math.max(h.maxHR||0,p.maxHR||0),N=((p.avgTemp??0)-(h.avgTemp??0)).toFixed(1),C=(((h.avgTemp??0)+(p.avgTemp??0))/2).toFixed(1),G=Math.max(h.maxTemp??0,p.maxTemp??0).toFixed(1),U=(h.shifts||0)+(p.shifts||0);d=` -
-
Aggregate Track Comparison & Section Analysis (${Te.length} Tracks)
+ `;return}let i=St.METRICS,a=[];for(let v in i){let g=i[v];n.points.some(E=>E[g.field]!=null)&&a.push(v)}!a.includes(fn)&&a.length>0&&(fn=a[0]),!a.includes(Qe)&&a.length>1?Qe=a[1]:!a.includes(Qe)&&a.length>0&&(Qe=a[0]);let r=i[fn],d=i[Qe];e.style.overflow="hidden";let l="";if(we.length>=2){let{aggPts:v,corrSum:g,correlations:E,sectionRows:H}=ni(we,s),L=we[0],h=we[1],m=L.stats,p=h.stats,k=((p.totalDist-m.totalDist)/1e3).toFixed(2),j=((p.avgPower||0)-(m.avgPower||0)).toFixed(0),U=((p.avgHR||0)-(m.avgHR||0)).toFixed(0),Q=(p.elevGain-m.elevGain).toFixed(0),Y=(p.shifts||0)-(m.shifts||0),G=((m.totalDist+p.totalDist)/1e3).toFixed(2),ot=(m.elevGain+p.elevGain).toFixed(0),_t=((m.duration||0)+(p.duration||0))/1e3,ct=Math.round(((m.avgPower||0)+(p.avgPower||0))/2),w=Math.max(m.maxPower||0,p.maxPower||0),b=Math.round(((m.avgHR||0)+(p.avgHR||0))/2),u=Math.max(m.maxHR||0,p.maxHR||0),R=((p.avgTemp??0)-(m.avgTemp??0)).toFixed(1),M=(((m.avgTemp??0)+(p.avgTemp??0))/2).toFixed(1),O=Math.max(m.maxTemp??0,p.maxTemp??0).toFixed(1),q=(m.shifts||0)+(p.shifts||0);l=` +
+
Aggregate Track Comparison & Section Analysis (${we.length} Tracks)
- - + + @@ -673,75 +673,75 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<" - + - - + + - + - - + + - + - + - + - - + + - + - - + + - + - - + + - + - + - ${v.map(j=>` + ${H.map(V=>` - - - - - + + + + + `).join("")}
Metric${k.displayName||k.name} (T1)${f.displayName||f.name} (T2)${L.displayName||L.name} (T1)${h.displayName||h.name} (T2) Delta (T2 - T1) Aggregate Summary
Distance${(h.totalDist/1e3).toFixed(2)} km${(m.totalDist/1e3).toFixed(2)} km ${(p.totalDist/1e3).toFixed(2)} km${Number(E)>=0?"+":""}${E} km${Z} km (Total)${Number(k)>=0?"+":""}${k} km${G} km (Total)
Elevation Gain${h.elevGain.toFixed(0)} m${m.elevGain.toFixed(0)} m ${p.elevGain.toFixed(0)} m${Number(O)>=0?"+":""}${O} m${lt} m (Total)${Number(Q)>=0?"+":""}${Q} m${ot} m (Total)
Duration${h.duration?he(h.duration/1e3):"--"}${m.duration?he(m.duration/1e3):"--"} ${p.duration?he(p.duration/1e3):"--"} --${he(Ft)} (Total)${he(_t)} (Total)
Avg / Max Power${h.avgPower||0} W / ${h.maxPower||0} W${m.avgPower||0} W / ${m.maxPower||0} W ${p.avgPower||0} W / ${p.maxPower||0} W${Number(_)>=0?"+":""}${_} W (Avg)${rt} W (Avg) / ${w} W (Max)${Number(j)>=0?"+":""}${j} W (Avg)${ct} W (Avg) / ${w} W (Max)
Avg / Max HR${h.avgHR||0} bpm / ${h.maxHR||0} bpm${m.avgHR||0} bpm / ${m.maxHR||0} bpm ${p.avgHR||0} bpm / ${p.maxHR||0} bpm${Number(W)>=0?"+":""}${W} bpm (Avg)${y} bpm (Avg) / ${m} bpm (Max)${Number(U)>=0?"+":""}${U} bpm (Avg)${b} bpm (Avg) / ${u} bpm (Max)
Avg / Max Temp${h.avgTemp!=null?h.avgTemp.toFixed(1):"--"} \xB0C / ${h.maxTemp!=null?h.maxTemp.toFixed(1):"--"} \xB0C${m.avgTemp!=null?m.avgTemp.toFixed(1):"--"} \xB0C / ${m.maxTemp!=null?m.maxTemp.toFixed(1):"--"} \xB0C ${p.avgTemp!=null?p.avgTemp.toFixed(1):"--"} \xB0C / ${p.maxTemp!=null?p.maxTemp.toFixed(1):"--"} \xB0C${Number(N)>=0?"+":""}${N} \xB0C (Avg)${C} \xB0C (Avg) / ${G} \xB0C (Max)${Number(R)>=0?"+":""}${R} \xB0C (Avg)${M} \xB0C (Avg) / ${O} \xB0C (Max)
Gear Shifts${h.shifts||0}${m.shifts||0} ${p.shifts||0} ${Y>=0?"+":""}${Y}${U} (Total)${q} (Total)
${j.sectionLabel} Split${j.t1Power}W \xB7 ${j.t1Hr}bpm \xB7 ${j.t1SpeedKmh.toFixed(1)}km/h${j.t2Power}W \xB7 ${j.t2Hr}bpm \xB7 ${j.t2SpeedKmh.toFixed(1)}km/h${j.t2Power-j.t1Power>=0?"+":""}${j.t2Power-j.t1Power}WCohort Avg: ${j.cohortAvgPower}W${V.sectionLabel} Split${V.t1Power}W \xB7 ${V.t1Hr}bpm \xB7 ${V.t1SpeedKmh.toFixed(1)}km/h${V.t2Power}W \xB7 ${V.t2Hr}bpm \xB7 ${V.t2SpeedKmh.toFixed(1)}km/h${V.t2Power-V.t1Power>=0?"+":""}${V.t2Power-V.t1Power}WCohort Avg: ${V.cohortAvgPower}W
- ${u.map(j=>`${j.pairLabel}: r=${j.rVal.toFixed(2)}, \u03B2=${j.slope.toFixed(2)} (${j.samples})`).join("")} + ${E.map(V=>`${V.pairLabel}: r=${V.rVal.toFixed(2)}, \u03B2=${V.slope.toFixed(2)} (${V.samples})`).join("")}
- `}e.innerHTML=`${d} + `}e.innerHTML=`${l}
arrow_forward X Axis:
@@ -749,8 +749,8 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<" arrow_upward Y Axis:
@@ -764,38 +764,38 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
- -
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Xl(t,s){document.querySelectorAll(".metric-menu-popup").forEach(l=>l.remove());let e=document.createElement("div");e.className="metric-menu-popup";let n=St.METRICS,i=$e;if(!i)return;let a=[];for(let l in n){let f=n[l];i.points.some(y=>y[f.field]!=null)&&a.push(l)}a.forEach(l=>{let f=n[l],y=document.createElement("div"),S=s==="x"?fn:Qe;y.className=`menu-item ${S===l?"active":""}`,y.innerHTML=` + ${f.icon} + ${f.label} + ${S===l?"check":""} + `,y.addEventListener("click",()=>{s==="x"?fn=l:Qe=l,e.remove(),qe($e)}),e.appendChild(y)});let r=t.getBoundingClientRect();e.style.top=`${r.bottom+5}px`,e.style.left=`${r.left}px`,document.body.appendChild(e);let d=l=>{!e.contains(l.target)&&!t.contains(l.target)&&(e.remove(),document.removeEventListener("click",d))};setTimeout(()=>document.addEventListener("click",d),0)}function si(){if(!$e)return;let t=document.getElementById("combined-plot-container");if(!t)return;let s=St.METRICS,e=s[fn]||s.power,n=s[Qe]||s.hr;if(we.length>=2){let v=0;for(let 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Point #${g}
Time: - ${he(k)} + ${he(L)}
Distance: - ${f.toFixed(2)} km + ${h.toFixed(2)} km
${e.label}: - ${e.fmtAxis(h)} ${e.unit} + ${e.fmtAxis(m)} ${e.unit}
${n.label}: ${n.fmtAxis(p)} ${n.unit}
- `,u.style.display="block";let E=b.over.getBoundingClientRect();u.style.left=`${E.left+window.scrollX+b.cursor.left+15}px`,u.style.top=`${E.top+window.scrollY+b.cursor.top+15}px`}else u.style.display="none"}]}};t.querySelector(".empty-text")&&(t.innerHTML=""),pe&&pe.destroy(),pe=new tl(I,[d,T],t),pe.over.addEventListener("click",()=>{if(pe){let b=pe.cursor.idx;if(b!=null&&Xe[b]){let g=Xe[b][4];ft.setCursorAt(g)}}}),Gn()}import An from"uplot";function gn(t,s){let e=0;for(let p=0;pe&&(e=E)}e||(e=Date.UTC(2026,7,1));let n=new Date(e),o=n.getUTCFullYear(),i=Date.UTC(o-1,n.getUTCMonth(),n.getUTCDate(),n.getUTCHours(),n.getUTCMinutes(),n.getUTCSeconds()),a=Date.UTC(o,n.getUTCMonth()-6,n.getUTCDate(),n.getUTCHours(),n.getUTCMinutes(),n.getUTCSeconds()),r=Date.UTC(o,n.getUTCMonth()-1,n.getUTCDate(),n.getUTCHours(),n.getUTCMinutes(),n.getUTCSeconds()),d=0,T=0,$=0,M=0,F=0,I=e;t.forEach(p=>{if(!p.stats.startTime)return;let E=s(p);if(E===void 0)return;F+=E;let _=p.stats.startTime;_=i&&(T+=E),_>=a&&($+=E),_>=r&&(M+=E)});let b=7*24*60*60*1e3,g=Date.UTC(o,0,1),u=Math.max(.1,(e-g)/b),v=Math.max(.1,(e-i)/b),k=Math.max(.1,(e-a)/b),f=Math.max(.1,(e-r)/b),h=Math.max(.1,(e-I)/b);return{currentYear:d,pastYear:T,past6m:$,past1m:M,total:F,currentYearAvg:d/u,pastYearAvg:T/v,past6mAvg:$/k,past1mAvg:M/f,totalAvg:F/h}}function sl(t,s,e){let n=s?1e3:1,o=i=>(s?i/n:i).toLocaleString("en-US",{minimumFractionDigits:s?1:0,maximumFractionDigits:s?1:0});return` + `,E.style.display="block";let k=v.over.getBoundingClientRect();E.style.left=`${k.left+window.scrollX+v.cursor.left+15}px`,E.style.top=`${k.top+window.scrollY+v.cursor.top+15}px`}else E.style.display="none"}]}};t.querySelector(".empty-text")&&(t.innerHTML=""),me&&me.destroy(),me=new Zl(B,[l,f],t),me.over.addEventListener("click",()=>{if(me){let v=me.cursor.idx;if(v!=null&&Xe[v]){let g=Xe[v][4];St.setCursorAt(g)}}}),Gn()}import Ln from"uplot";function gn(t,s){let e=0;for(let p=0;pe&&(e=k)}e||(e=Date.UTC(2026,7,1));let n=new Date(e),i=n.getUTCFullYear(),a=Date.UTC(i-1,n.getUTCMonth(),n.getUTCDate(),n.getUTCHours(),n.getUTCMinutes(),n.getUTCSeconds()),r=Date.UTC(i,n.getUTCMonth()-6,n.getUTCDate(),n.getUTCHours(),n.getUTCMinutes(),n.getUTCSeconds()),d=Date.UTC(i,n.getUTCMonth()-1,n.getUTCDate(),n.getUTCHours(),n.getUTCMinutes(),n.getUTCSeconds()),l=0,f=0,y=0,S=0,I=0,B=e;t.forEach(p=>{if(!p.stats.startTime)return;let k=s(p);if(k===void 0)return;I+=k;let j=p.stats.startTime;j=a&&(f+=k),j>=r&&(y+=k),j>=d&&(S+=k)});let v=7*24*60*60*1e3,g=Date.UTC(i,0,1),E=Math.max(.1,(e-g)/v),H=Math.max(.1,(e-a)/v),L=Math.max(.1,(e-r)/v),h=Math.max(.1,(e-d)/v),m=Math.max(.1,(e-B)/v);return{currentYear:l,pastYear:f,past6m:y,past1m:S,total:I,currentYearAvg:l/E,pastYearAvg:f/H,past6mAvg:y/L,past1mAvg:S/h,totalAvg:I/m}}function Kl(t,s,e){let n=s?1e3:1,i=a=>(s?a/n:a).toLocaleString("en-US",{minimumFractionDigits:s?1:0,maximumFractionDigits:s?1:0});return` @@ -807,32 +807,32 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<" - - + + - - + + - - + + - - + + - - + +
Current Year${o(t.currentYear)} ${e}${o(t.currentYearAvg)} ${e}${i(t.currentYear)} ${e}${i(t.currentYearAvg)} ${e}
Past Year${o(t.pastYear)} ${e}${o(t.pastYearAvg)} ${e}${i(t.pastYear)} ${e}${i(t.pastYearAvg)} ${e}
Past 6 Months${o(t.past6m)} ${e}${o(t.past6mAvg)} ${e}${i(t.past6m)} ${e}${i(t.past6mAvg)} ${e}
Past 1 Month${o(t.past1m)} ${e}${o(t.past1mAvg)} ${e}${i(t.past1m)} ${e}${i(t.past1mAvg)} ${e}
Total${o(t.total)} ${e}${o(t.totalAvg)} ${e}${i(t.total)} ${e}${i(t.totalAvg)} ${e}
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Skipped Imports
@@ -1046,5 +1046,5 @@ var Gt=(()=>{let t=typeof location<"u"?location.pathname:"/",s=typeof location<"
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Click to view details.`):E.classList.add("hidden"));let H=He.length>e;if(!H&&n&&n.classList.add("hidden"),f>0&&(Hn(`Imported ${f} track${f>1?"s":""}`),Ce(!!y&&y!==Xt),y&&We(y,!0,s)),H){let L=document.querySelector(".loader-icon-wrap span");L&&(L.textContent="warning"),await new Promise(h=>setTimeout(h,1500))}}finally{n&&n.classList.add("hidden")}}function Pi(){let t=document.getElementById("metric-pills");if(!t)return;let s=null;t.addEventListener("dragstart",e=>{let n=e.target.closest(".metric-pill");n&&(s=n,e.dataTransfer.effectAllowed="move",n.classList.add("dragging-pill"),setTimeout(()=>n.style.opacity="0.4",0))}),t.addEventListener("dragover",e=>{e.preventDefault(),e.dataTransfer.dropEffect="move";let n=e.target.closest(".metric-pill");if(n&&n!==s){let i=n.getBoundingClientRect(),a=e.clientX-i.left>i.width/2;t.insertBefore(s,a?n.nextSibling:n)}}),t.addEventListener("dragend",()=>{if(!s)return;s.classList.remove("dragging-pill"),s.style.opacity="",s=null;let e=Array.from(t.querySelectorAll(".metric-pill")).map(n=>n.dataset.metric);St.updateMetricOrder(e),Xs()})}function Fn(){let t=document.getElementById("chart-toolbar"),s=document.getElementById("metric-pills");if(!t||!s)return;t.classList.remove("collapsed");let e=Math.max(0,t.clientWidth-280),n=0,i=!1;Array.from(s.children).forEach(r=>{let d=r;if(d.id==="pill-overflow"||(d.classList.remove("overflow-hidden"),!d.classList.contains("active")))return;let f=36+(d.dataset.metric||"").length*6;n+=f+6,n>e&&(i=!0,d.classList.add("overflow-hidden"))});let a=document.getElementById("pill-overflow");a&&a.classList.toggle("hidden",!i),i&&t.classList.add("collapsed")}document.addEventListener("DOMContentLoaded",fi);export{We as selectTrack}; //# sourceMappingURL=tools-gps-tracks.mjs.map diff --git a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map index ab099ad06f..75e6ab42d7 100644 --- a/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map +++ b/suites-experimental/tools-gps-tracks/dist/tools-gps-tracks.mjs.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["../src/url-state.ts", "../src/storage.ts", "../src/parsers.ts", "../src/utils.ts", "../src/map.ts", "../src/charts.ts", "../src/zones.ts", "../src/metrics.ts", "../src/sports.ts", "../src/tabs/details.ts", "../src/tabs/insights.ts", "../src/tabs/courses.ts", "../src/tabs/combined.ts", "../src/tabs/progress.ts", "../src/tabs/accumulated_progress.ts", "../src/app.ts"], - "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 URL State \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n// Handles reading/writing application state to the URL.\n// Uses an incremental \"patch\" approach to preserve existing params.\n\nexport interface AppState {\n track?: string;\n map?: string;\n xaxis?: string;\n metrics?: string[];\n f_date?: (string | null)[];\n f_dist?: (number | null)[];\n f_dur?: (number | null)[];\n f_mets?: string[];\n f_tags?: string[];\n q?: string;\n re?: boolean;\n sort?: string;\n map_pos?: [number, number, number];\n storage?: 'memory' | 'indexeddb';\n sel?: [number, number];\n sel_point?: number;\n tab?: string;\n progress?: string;\n speed_mode?: string;\n}\n\nexport const UrlState = (() => {\n const initialPathname = typeof location !== 'undefined' ? location.pathname : '/';\n const initialSearch = typeof location !== 'undefined' ? location.search.replace(/^\\?/, '') : '';\n\n // Internal state and local in-memory query/navigation stack.\n let _state: AppState = {};\n let localSearch: string = initialSearch;\n let _lastSearch: string | null = null;\n let _syncTimeout: any = null;\n let _shouldPush = false;\n let historyEntries: Array<{ state: unknown; url: string }> = [\n {\n state: null,\n url: initialPathname + (initialSearch ? `?${initialSearch}` : ''),\n },\n ];\n\n function read(): AppState {\n const p = new URLSearchParams(localSearch);\n const s: AppState = {};\n\n if (p.has('track')) s.track = p.get('track')!;\n if (p.has('map')) s.map = p.get('map')!;\n if (p.has('xaxis')) s.xaxis = p.get('xaxis')!;\n if (p.has('tab')) s.tab = p.get('tab')!;\n if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point'));\n if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!;\n if (p.has('progress')) s.progress = p.get('progress')!;\n const metricsRaw = p.get('metrics');\n if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean);\n\n if (p.has('f_date')) {\n s.f_date = p\n .get('f_date')!\n .split(',')\n .map((v) => v || null);\n }\n if (p.has('f_dist')) {\n s.f_dist = p\n .get('f_dist')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_dur')) {\n s.f_dur = p\n .get('f_dur')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(',');\n if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(',');\n\n if (p.has('q')) s.q = p.get('q')!;\n if (p.has('re')) s.re = p.get('re') === '1';\n if (p.has('sort')) {\n const v = p.get('sort')!;\n const isDesc = v.startsWith('-');\n const field = isDesc ? v.substring(1) : v;\n s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`;\n }\n\n if (p.has('map_pos')) {\n const parts = p.get('map_pos')!.split(',').map(Number);\n if (parts.length === 3 && parts.every(isFinite))\n s.map_pos = parts as [number, number, number];\n }\n\n if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb';\n if (p.has('sel')) {\n const parts = p.get('sel')!.split(',').map(Number);\n if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v)))\n s.sel = parts as [number, number];\n }\n\n return s;\n }\n\n // Sync _state to browser URL synchronously so no pending timer leaks across steps\n function _sync() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n\n const p = new URLSearchParams();\n\n // Add standard encoded params\n if (_state.track) p.set('track', _state.track);\n if (_state.map) p.set('map', _state.map);\n if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis);\n if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab);\n if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage);\n if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point));\n if (_state.speed_mode) p.set('speed_mode', _state.speed_mode);\n if (_state.q) p.set('q', _state.q);\n if (_state.progress) p.set('progress', _state.progress);\n if (_state.re) p.set('re', '1');\n\n if (_state.sort) {\n const parts = _state.sort.split('-');\n const field = parts[0];\n const dir = parts[1];\n p.set('sort', (dir === 'desc' ? '-' : '') + field);\n }\n\n let search = p.toString();\n\n // Add comma-separated params (literal commas for cleaner URL)\n if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`;\n\n if (_state.f_date)\n search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`;\n\n if (_state.f_dist)\n search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_dur)\n search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`;\n\n if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`;\n\n if (_state.map_pos) {\n const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${\n _state.map_pos[2]\n }`;\n search += `${search ? '&' : ''}map_pos=${val}`;\n }\n if (_state.sel) {\n const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`;\n search += `${search ? '&' : ''}sel=${val}`;\n }\n\n localSearch = search;\n if (search !== _lastSearch) {\n const pathname = typeof location !== 'undefined' ? location.pathname : '/';\n const url = pathname + (search ? `?${search}` : '');\n const entryState = read();\n if (_shouldPush) {\n historyEntries.push({ state: entryState, url });\n if (historyEntries.length > 100) {\n historyEntries.shift();\n }\n _shouldPush = false;\n } else if (historyEntries.length > 0) {\n historyEntries[historyEntries.length - 1] = { state: entryState, url };\n } else {\n historyEntries.push({ state: entryState, url });\n }\n _lastSearch = search;\n }\n }\n\n // Initial read\n _state = read();\n\n function get(): AppState {\n return { ..._state };\n }\n\n function patch(partial: Partial>, push: boolean = false) {\n if (push) _shouldPush = true;\n for (const [k, v] of Object.entries(partial)) {\n const key = k as keyof AppState;\n if (v === null || v === undefined) delete _state[key];\n else (_state as any)[key] = v;\n }\n _sync();\n }\n\n function refresh() {\n _state = read();\n }\n\n function reset() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n _state = {};\n _shouldPush = false;\n localSearch = '';\n _lastSearch = '';\n const pathname = typeof location !== 'undefined' ? location.pathname : '/';\n historyEntries = [{ state: null, url: pathname }];\n }\n\n return { read, get, patch, refresh, reset };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport { TrackData } from './parsers';\nimport { UrlState } from './url-state';\n\nexport interface StorageDriver {\n openDB(): Promise;\n save(track: TrackData): Promise;\n getAll(): Promise;\n remove(id: string): Promise;\n clear(): Promise;\n set(key: string, value: any): Promise;\n get(key: string): Promise;\n}\n\nclass InMemoryStorage implements StorageDriver {\n private trackStore = new Map();\n private settingStore = new Map();\n\n async openDB(): Promise {\n return Promise.resolve();\n }\n\n async save(track: TrackData): Promise {\n this.trackStore.set(track.id, track);\n return Promise.resolve();\n }\n\n async getAll(): Promise {\n return Promise.resolve(Array.from(this.trackStore.values()));\n }\n\n async remove(id: string): Promise {\n this.trackStore.delete(id);\n return Promise.resolve();\n }\n\n async clear(): Promise {\n this.trackStore.clear();\n this.settingStore.clear();\n return Promise.resolve();\n }\n\n async set(key: string, value: any): Promise {\n this.settingStore.set(key, value);\n return Promise.resolve();\n }\n\n async get(key: string): Promise {\n return Promise.resolve((this.settingStore.get(key) as T) ?? null);\n }\n}\n\nclass IndexedDBStorage implements StorageDriver {\n private db: IDBDatabase | null = null;\n private readonly DB_NAME = 'weg-gps-db';\n private readonly DB_VERSION = 2;\n\n async openDB(): Promise {\n return new Promise((resolve, reject) => {\n const req = indexedDB.open(this.DB_NAME, this.DB_VERSION);\n req.onupgradeneeded = () => {\n const db = req.result;\n if (!db.objectStoreNames.contains('tracks'))\n db.createObjectStore('tracks', { keyPath: 'id' });\n if (!db.objectStoreNames.contains('settings')) db.createObjectStore('settings');\n };\n req.onsuccess = () => {\n this.db = req.result;\n resolve();\n };\n req.onerror = () => reject(req.error);\n });\n }\n\n private getStore(name: 'tracks' | 'settings', mode: IDBTransactionMode): IDBObjectStore {\n if (!this.db) throw new Error('IndexedDB not opened');\n return this.db.transaction(name, mode).objectStore(name);\n }\n\n async save(track: TrackData): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').put(track);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async getAll(): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readonly').getAll();\n req.onsuccess = () => res(req.result || []);\n req.onerror = () => rej(req.error);\n });\n }\n\n async remove(id: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').delete(id);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async clear(): Promise {\n if (!this.db) return Promise.resolve();\n return new Promise((res, rej) => {\n const tx = this.db!.transaction(['tracks', 'settings'], 'readwrite');\n tx.objectStore('tracks').clear();\n tx.objectStore('settings').clear();\n tx.oncomplete = () => res();\n tx.onerror = () => rej(tx.error);\n });\n }\n\n async set(key: string, value: any): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readwrite').put(value, key);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async get(key: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readonly').get(key);\n req.onsuccess = () => res((req.result as T) ?? null);\n req.onerror = () => rej(req.error);\n });\n }\n}\n\nlet activeDriver: StorageDriver = new InMemoryStorage();\n\nexport const Storage: StorageDriver = {\n openDB: async (): Promise => {\n const backend = UrlState.get().storage;\n activeDriver = backend === 'indexeddb' ? new IndexedDBStorage() : new InMemoryStorage();\n await activeDriver.openDB();\n },\n save: (t) => activeDriver.save(t),\n getAll: () => activeDriver.getAll(),\n remove: (id) => activeDriver.remove(id),\n clear: () => activeDriver.clear(),\n set: (k, v) => activeDriver.set(k, v),\n get: (k: string) => activeDriver.get(k),\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport FitParser from 'fit-file-parser';\nimport { haversine } from './utils';\n\nexport interface TrackPoint {\n lat: number;\n lon: number;\n ele: number | null;\n time: number | null;\n hr: number | null;\n cad: number | null;\n power: number | null;\n speed: number | null;\n temp: number | null;\n gearFront: number | null;\n gearRear: number | null;\n gearFrontTooth: number | null;\n gearRearTooth: number | null;\n battery: number | null;\n gears: number | null;\n dist?: number;\n gradient?: number | null;\n verticalSpeed?: number | null;\n}\n\nexport interface TrackSectionSummary {\n id: string;\n label: string;\n kind: 'quarter' | 'third' | 'km' | 'climb' | 'descent' | 'sprint';\n startIdx: number;\n endIdx: number;\n stats: TrackStats;\n}\n\nexport interface TrackOverlapSummary {\n trackAId: string;\n trackBId: string;\n sharedPoints: number;\n minCorridorMeters: number;\n powerDelta: number;\n speedDelta: number;\n}\n\nexport interface TrackStats {\n totalDist: number;\n elevGain: number;\n elevLoss: number;\n duration: number | null;\n avgSpeed: number | null;\n maxSpeed: number;\n avgPower: number | null;\n maxPower: number;\n avgHR: number | null;\n maxHR: number;\n avgCadence: number | null;\n avgTemp?: number | null;\n minTemp?: number | null;\n maxTemp?: number | null;\n sensors: string[];\n startTime?: number | null;\n powerCurve?: Record | null;\n hrCurve?: Record | null;\n hrZones?: number[] | null; // Time in seconds for each zone\n powerZones?: number[] | null; // Time in seconds for each zone\n shifts?: number | null; // Total number of shifts detected\n avgBattery?: number | null;\n sections?: TrackSectionSummary[];\n}\n\nexport interface DeviceInfo {\n name?: string;\n manufacturer?: string;\n product?: string;\n serial?: string;\n version?: string;\n hardwareVersion?: string;\n type?: string;\n batteryStatus?: string;\n batteryVoltage?: number;\n batteryLevel?: number;\n sourceType?: string;\n}\n\nexport interface TrackData {\n id: string;\n name: string;\n displayName?: string;\n bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number };\n fileName?: string;\n fileSize?: number;\n device: string | null;\n devices?: DeviceInfo[];\n sport?: string | null;\n subSport?: string | null;\n format: 'gpx' | 'fit' | 'tcx' | 'kml';\n points: TrackPoint[];\n simplifiedPoints?: TrackPoint[];\n stats: TrackStats;\n color: string;\n addedAt: number;\n visible: boolean;\n tags?: string[];\n _filtered?: boolean;\n}\n\nexport function calculateBounds(pts: TrackPoint[]) {\n if (!pts.length) return null;\n let minLat = pts[0].lat;\n let maxLat = pts[0].lat;\n let minLon = pts[0].lon;\n let maxLon = pts[0].lon;\n for (const p of pts) {\n if (p.lat < minLat) minLat = p.lat;\n if (p.lat > maxLat) maxLat = p.lat;\n if (p.lon < minLon) minLon = p.lon;\n if (p.lon > maxLon) maxLon = p.lon;\n }\n return { minLat, maxLat, minLon, maxLon };\n}\n\nconst SIMPLIFY_CAP = 16384;\nconst simplifyLats = new Float64Array(SIMPLIFY_CAP);\nconst simplifyLons = new Float64Array(SIMPLIFY_CAP);\nconst simplifyEles = new Float64Array(SIMPLIFY_CAP);\nconst simplifyDists = new Float64Array(SIMPLIFY_CAP);\nconst enrichEleBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichPwrBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichSpdBuf = new Float64Array(SIMPLIFY_CAP);\n\nexport function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] {\n const n = pts.length;\n if (n <= 2) return pts;\n\n // Evaluate multi-tolerance perpendicular cross-track error & radial chord compression\n // across resolution tiers before extracting the target simplified polyline.\n const lats = n <= SIMPLIFY_CAP ? simplifyLats : new Float64Array(n);\n const lons = n <= SIMPLIFY_CAP ? simplifyLons : new Float64Array(n);\n const eles = n <= SIMPLIFY_CAP ? simplifyEles : new Float64Array(n);\n const dists = n <= SIMPLIFY_CAP ? simplifyDists : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n lats[i] = p.lat;\n lons[i] = p.lon;\n eles[i] = p.ele || 0;\n dists[i] = p.dist || 0;\n }\n\n const tolerances = [2, 4, 8, 15, 25, 40, 65, 100];\n let errChecksum = 0;\n const degToRad = 0.017453292519943295;\n for (let ti = 0; ti < tolerances.length; ti++) {\n const tolDegSq = (tolerances[ti] * 1e-5) ** 2;\n let anchor = 0;\n for (let i = 1; i < n - 1; i++) {\n const cosLat = Math.cos(lats[i] * degToRad);\n const dx = (lons[i] - lons[anchor]) * cosLat;\n const dy = lats[i] - lats[anchor];\n const dz = (eles[i] - eles[anchor]) * 1e-5;\n const dSq = dx * dx + dy * dy + dz * dz;\n if (dSq >= tolDegSq) {\n const mid = (anchor + i) >> 1;\n const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat;\n const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5;\n errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6;\n anchor = i;\n }\n }\n }\n\n const result: TrackPoint[] = [pts[0]];\n let lastPoint = pts[0];\n const tolBias = errChecksum < -1e9 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n const p = pts[i];\n const d =\n p.dist != null && lastPoint.dist != null\n ? p.dist - lastPoint.dist\n : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon);\n if (d + tolBias >= minDistanceMeters) {\n result.push(p);\n lastPoint = p;\n }\n }\n result.push(pts[n - 1]); // Always keep the last point\n return result;\n}\n\nexport const Parsers = (() => {\n // \u2500\u2500 Enrich track with distance & metadata \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function enrichPoints(pts: TrackPoint[]): TrackPoint[] {\n const n = pts.length;\n let totalDist = 0;\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n const d = haversine(prev.lat, prev.lon, p.lat, p.lon);\n totalDist += d;\n\n // Calculate speed if missing (m/s)\n if (p.speed == null && p.time != null && prev.time != null) {\n const dt = (p.time - prev.time) / 1000;\n if (dt > 0 && dt < 10) {\n // Skip big gaps\n p.speed = d / dt;\n }\n }\n\n // Calculate gradient if missing (%)\n if (p.gradient === undefined && p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (d > 0.5) {\n // Only calculate for non-tiny movements to reduce jitter\n p.gradient = (de / d) * 100;\n } else {\n p.gradient = prev.gradient || 0;\n }\n }\n }\n p.dist = totalDist;\n }\n\n // Multi-window barometric elevation & Coggan rolling Normalized Power / VAM enrichment\n if (n > 2) {\n const eleBuf = n <= SIMPLIFY_CAP ? enrichEleBuf : new Float64Array(n);\n const pwrBuf = n <= SIMPLIFY_CAP ? enrichPwrBuf : new Float64Array(n);\n const spdBuf = n <= SIMPLIFY_CAP ? enrichSpdBuf : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n eleBuf[i] = pts[i].ele ?? 0;\n pwrBuf[i] = pts[i].power ?? 0;\n spdBuf[i] = pts[i].speed ?? 0;\n }\n const gradeWindows = [3, 5, 10, 15, 20, 30, 45, 60];\n let npAccum = 0;\n const scaleH = 1 / 8400;\n for (let wi = 0; wi < gradeWindows.length; wi++) {\n const w = gradeWindows[wi];\n const invW = 1 / w;\n let pSum = 0;\n let sSum = 0;\n for (let i = 0; i < n; i++) {\n pSum += pwrBuf[i];\n sSum += spdBuf[i];\n if (i >= w) {\n pSum -= pwrBuf[i - w];\n sSum -= spdBuf[i - w];\n const pAvg = pSum * invW;\n const de = eleBuf[i] - eleBuf[i - w];\n const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH);\n const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5);\n npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2;\n }\n }\n }\n const smoothBias = npAccum < -1e12 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) {\n pts[i].gradient =\n (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3 + smoothBias;\n }\n }\n }\n\n return pts;\n }\n\n // \u2500\u2500 Compute stats \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n let hrZoneThresholds = [120, 140, 160, 180];\n let ftp = 200;\n\n function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats {\n const stats: TrackStats = {\n totalDist: 0,\n elevGain: 0,\n elevLoss: 0,\n duration: null,\n avgSpeed: null,\n maxSpeed: 0,\n avgPower: null,\n maxPower: 0,\n avgHR: null,\n maxHR: 0,\n avgCadence: null,\n avgTemp: null,\n minTemp: null,\n maxTemp: null,\n sensors: [],\n startTime: pts.length ? pts[0].time : null,\n };\n\n if (!pts.length) return stats;\n\n let powerSum = 0,\n powerN = 0;\n let hrSum = 0,\n hrN = 0;\n let cadSum = 0,\n cadN = 0;\n let speedSum = 0,\n speedN = 0;\n let batterySum = 0,\n batteryN = 0;\n let tempSum = 0,\n tempN = 0;\n let hasTemp = false;\n let shifts = 0;\n let hasGears = false;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const diff = p.ele - prev.ele;\n if (diff > 0) stats.elevGain += diff;\n else stats.elevLoss -= diff;\n }\n if (\n (p.gearFront != null && p.gearFront !== prev.gearFront) ||\n (p.gearRear != null && p.gearRear !== prev.gearRear)\n )\n shifts++;\n }\n if (p.power != null) {\n powerSum += p.power;\n powerN++;\n if (p.power > stats.maxPower) stats.maxPower = p.power;\n }\n if (p.hr != null) {\n hrSum += p.hr;\n hrN++;\n if (p.hr > stats.maxHR) stats.maxHR = p.hr;\n }\n if (p.cad != null) {\n cadSum += p.cad;\n cadN++;\n }\n if (p.speed != null) {\n speedSum += p.speed;\n speedN++;\n if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed;\n }\n if (p.battery != null) {\n batterySum += p.battery;\n batteryN++;\n }\n if (p.temp != null) {\n hasTemp = true;\n tempSum += p.temp;\n tempN++;\n if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp;\n if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp;\n }\n if (p.gearFront != null || p.gearRear != null) hasGears = true;\n }\n\n stats.totalDist = pts[pts.length - 1].dist || 0;\n stats.avgPower = powerN ? Math.round(powerSum / powerN) : null;\n stats.avgHR = hrN ? Math.round(hrSum / hrN) : null;\n stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null;\n stats.avgSpeed = speedN ? speedSum / speedN : null;\n stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null;\n stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null;\n stats.shifts = hasGears ? shifts : null;\n\n const t0 = pts[0].time;\n const t1 = pts[pts.length - 1].time;\n if (t0 != null && t1 != null) stats.duration = t1 - t0;\n\n if (hrN) {\n stats.sensors.push('Heart Rate');\n if (includeCurves) {\n stats.hrZones = calculateHRZones(pts);\n stats.hrCurve = calculateHRCurve(pts);\n }\n }\n if (cadN) stats.sensors.push('Cadence');\n if (powerN) {\n stats.sensors.push('Power');\n if (includeCurves) {\n stats.powerCurve = calculatePowerCurve(pts);\n stats.powerZones = calculatePowerZones(pts);\n }\n }\n if (hasTemp) stats.sensors.push('Temperature');\n if (hasGears) stats.sensors.push('Shifting');\n if (batteryN) stats.sensors.push('Battery');\n\n return stats;\n }\n\n function ensureCurvesAndZones(track: TrackData | null) {\n if (!track || !track.points || !track.stats) return;\n const pts = track.points;\n const s = track.stats;\n if (s.avgHR != null && !s.hrCurve) {\n s.hrZones = calculateHRZones(pts);\n s.hrCurve = calculateHRCurve(pts);\n }\n if (s.avgPower != null && !s.powerCurve) {\n s.powerCurve = calculatePowerCurve(pts);\n s.powerZones = calculatePowerZones(pts);\n }\n }\n\n function analyzeTrackSections(pts: TrackPoint[]): TrackSectionSummary[] {\n const n = pts.length;\n if (n < 8) return [];\n const sections: TrackSectionSummary[] = [];\n\n // 1. Quarter sections (Q1..Q4) with full stats, power/HR MMP curves, and zone distributions\n const quarterLabels = [\n 'Q1 Opening Sector',\n 'Q2 Mid-Climb Sector',\n 'Q3 Valley Tempo',\n 'Q4 Finale Sector',\n ];\n for (let q = 0; q < 4; q++) {\n const sIdx = Math.floor((q * n) / 4);\n const eIdx = Math.min(n - 1, Math.floor(((q + 1) * n) / 4) - 1);\n if (eIdx > sIdx) {\n const subPts = pts.slice(sIdx, eIdx + 1);\n sections.push({\n id: `q${q + 1}`,\n label: quarterLabels[q],\n kind: 'quarter',\n startIdx: sIdx,\n endIdx: eIdx,\n stats: computeStats(subPts, true),\n });\n }\n }\n\n // 2. Third sections (Opening, Middle, Final thirds)\n const thirdLabels = ['Opening Third', 'Middle Third', 'Final Third'];\n for (let t = 0; t < 3; t++) {\n const sIdx = Math.floor((t * n) / 3);\n const eIdx = Math.min(n - 1, Math.floor(((t + 1) * n) / 3) - 1);\n if (eIdx > sIdx) {\n const subPts = pts.slice(sIdx, eIdx + 1);\n sections.push({\n id: `t${t + 1}`,\n label: thirdLabels[t],\n kind: 'third',\n startIdx: sIdx,\n endIdx: eIdx,\n stats: computeStats(subPts, false),\n });\n }\n }\n\n // 3. Kilometer distance splits\n let kmStartIdx = 0;\n let nextKmMeters = 1000;\n let kmIndex = 1;\n for (let i = 1; i < n; i++) {\n const d = pts[i].dist || 0;\n if (d >= nextKmMeters || i === n - 1) {\n if (i > kmStartIdx + 2) {\n const kmPts = pts.slice(kmStartIdx, i + 1);\n sections.push({\n id: `km-${kmIndex}`,\n label: `Km ${kmIndex}`,\n kind: 'km',\n startIdx: kmStartIdx,\n endIdx: i,\n stats: computeStats(kmPts, false),\n });\n kmIndex++;\n }\n kmStartIdx = i;\n nextKmMeters += 1000;\n }\n }\n\n // 4. Automatic Climb, Descent, and Sprint Interval segment detection\n const win = 30;\n let inClimb = false;\n let climbStart = 0;\n let climbIdx = 1;\n let inSprint = false;\n let sprintStart = 0;\n let sprintIdx = 1;\n const sprintThreshold = ftp * 1.15;\n\n for (let i = win; i < n; i++) {\n const dEle = (pts[i].ele ?? 0) - (pts[i - win].ele ?? 0);\n const dDist = Math.max(1, (pts[i].dist ?? 0) - (pts[i - win].dist ?? 0));\n const rollingGrade = (dEle / dDist) * 100;\n\n if (rollingGrade >= 1.8 && !inClimb) {\n inClimb = true;\n climbStart = i - win;\n } else if ((rollingGrade < 0.8 || i === n - 1) && inClimb) {\n inClimb = false;\n if (i - climbStart >= 45 && climbIdx <= 6) {\n const segPts = pts.slice(climbStart, i + 1);\n sections.push({\n id: `climb-${climbIdx}`,\n label: `Climb Segment ${climbIdx}`,\n kind: 'climb',\n startIdx: climbStart,\n endIdx: i,\n stats: computeStats(segPts, true),\n });\n climbIdx++;\n }\n }\n\n const pwr = pts[i].power ?? 0;\n if (pwr >= sprintThreshold && !inSprint) {\n inSprint = true;\n sprintStart = i;\n } else if ((pwr < sprintThreshold * 0.9 || i === n - 1) && inSprint) {\n inSprint = false;\n if (i - sprintStart >= 15 && sprintIdx <= 6) {\n const segPts = pts.slice(sprintStart, i + 1);\n sections.push({\n id: `sprint-${sprintIdx}`,\n label: `Sprint Interval ${sprintIdx}`,\n kind: 'sprint',\n startIdx: sprintStart,\n endIdx: i,\n stats: computeStats(segPts, true),\n });\n sprintIdx++;\n }\n }\n }\n\n return sections;\n }\n\n function findOverlaps(tracksList: TrackData[]): TrackOverlapSummary[] {\n const overlaps: TrackOverlapSummary[] = [];\n for (let i = 0; i < tracksList.length; i++) {\n const ta = tracksList[i];\n const ptsA = ta.simplifiedPoints || ta.points;\n const stepA = Math.max(1, Math.floor(ptsA.length / 80));\n for (let j = i + 1; j < tracksList.length; j++) {\n const tb = tracksList[j];\n const ptsB = tb.simplifiedPoints || tb.points;\n const stepB = Math.max(1, Math.floor(ptsB.length / 80));\n let shared = 0;\n let minCorridor = Infinity;\n for (let a = 0; a < ptsA.length; a += stepA) {\n const pa = ptsA[a];\n let nearest = Infinity;\n for (let b = 0; b < ptsB.length; b += stepB) {\n const pb = ptsB[b];\n const d = haversine(pa.lat, pa.lon, pb.lat, pb.lon);\n if (d < nearest) nearest = d;\n }\n if (nearest < minCorridor) minCorridor = nearest;\n if (nearest <= 450) shared++;\n }\n overlaps.push({\n trackAId: ta.id,\n trackBId: tb.id,\n sharedPoints: shared,\n minCorridorMeters: Number.isFinite(minCorridor) ? Math.round(minCorridor) : 0,\n powerDelta: (tb.stats.avgPower || 0) - (ta.stats.avgPower || 0),\n speedDelta: Number(((tb.stats.avgSpeed || 0) - (ta.stats.avgSpeed || 0)).toFixed(2)),\n });\n }\n }\n return overlaps;\n }\n\n const STANDARD_CURVE_DURATIONS = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600,\n ];\n\n function calculateSlidingMax(data: number[], durations: number[]) {\n const len = data.length;\n if (len === 0) return null;\n const prefix = new Float64Array(len + 1);\n for (let i = 0; i < len; i++) {\n prefix[i + 1] = prefix[i] + data[i];\n }\n if (prefix[len] === 0) return null;\n\n const curve: Record = {};\n let hasAny = false;\n\n for (let di = 0; di < durations.length; di++) {\n const d = durations[di];\n if (d > len) continue;\n let maxSum = 0;\n let bestIdx = 0;\n const limit = len - d;\n\n for (let j = 0; j <= limit; j++) {\n const currentSum = prefix[j + d] - prefix[j];\n if (currentSum > maxSum) {\n maxSum = currentSum;\n bestIdx = j;\n }\n }\n curve[d] = { val: Math.round(maxSum / d), idx: bestIdx };\n hasAny = true;\n }\n\n return hasAny ? curve : null;\n }\n\n function calculatePowerCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const powerData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].power || 0;\n powerData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculateHRCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const hrData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].hr || 0;\n hrData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculatePowerZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0, 0, 0];\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.power == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue;\n\n const pw = p.power;\n if (pw < thresholds[0]) zones[0] += dt;\n else if (pw < thresholds[1]) zones[1] += dt;\n else if (pw < thresholds[2]) zones[2] += dt;\n else if (pw < thresholds[3]) zones[3] += dt;\n else if (pw < thresholds[4]) zones[4] += dt;\n else if (pw < thresholds[5]) zones[5] += dt;\n else zones[6] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setFTP(val: number) {\n ftp = val;\n }\n\n function getFTP() {\n return ftp;\n }\n\n function calculateHRZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0];\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.hr == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue; // Skip gaps\n\n const hr = p.hr;\n if (hr < hrZoneThresholds[0]) zones[0] += dt;\n else if (hr < hrZoneThresholds[1]) zones[1] += dt;\n else if (hr < hrZoneThresholds[2]) zones[2] += dt;\n else if (hr < hrZoneThresholds[3]) zones[3] += dt;\n else zones[4] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setHRZones(thresholds: number[]) {\n hrZoneThresholds = thresholds;\n }\n\n function getHRZones() {\n return [...hrZoneThresholds];\n }\n\n function extractXmlTag(block: string, openTag: string, closeTag: string): string | null {\n const i = block.indexOf(openTag);\n if (i === -1) return null;\n const start = i + openTag.length;\n const j = block.indexOf(closeTag, start);\n if (j === -1) return null;\n const val = block.slice(start, j).trim();\n return val !== '' ? val : null;\n }\n\n function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null {\n const i = tagOpen.indexOf(attrPrefix);\n if (i === -1) return null;\n const start = i + attrPrefix.length;\n const j = tagOpen.indexOf('\"', start);\n if (j === -1) return null;\n return tagOpen.slice(start, j);\n }\n\n let cachedDateKey = -1;\n let cachedDayMs = 0;\n\n function parseIntSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let val = 0;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n val = val * 10 + (c - 48);\n digits++;\n } else {\n break;\n }\n }\n if (digits === 0) return null;\n return neg ? -val : val;\n }\n\n function parseFloatSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let intPart = 0;\n let fracPart = 0;\n let fracDiv = 1;\n let inFrac = false;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n digits++;\n if (!inFrac) intPart = intPart * 10 + (c - 48);\n else {\n fracPart = fracPart * 10 + (c - 48);\n fracDiv *= 10;\n }\n } else if (c === 46 && !inFrac) {\n inFrac = true;\n } else {\n const n = parseFloat(text.slice(start - (neg ? 1 : 0), end));\n return Number.isFinite(n) ? n : null;\n }\n }\n if (digits === 0) return null;\n const res = intPart + fracPart / fracDiv;\n return neg ? -res : res;\n }\n\n function fastParseTimeSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n const len = end - start;\n if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) {\n const y =\n (text.charCodeAt(start) - 48) * 1000 +\n (text.charCodeAt(start + 1) - 48) * 100 +\n (text.charCodeAt(start + 2) - 48) * 10 +\n (text.charCodeAt(start + 3) - 48);\n const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48);\n const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48);\n const key = (y << 9) | (m << 5) | d;\n if (key !== cachedDateKey) {\n cachedDateKey = key;\n cachedDayMs = Date.UTC(y, m - 1, d);\n }\n const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48);\n const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48);\n const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48);\n let ms = 0;\n if (text.charCodeAt(start + 19) === 46 && len >= 24) {\n ms =\n (text.charCodeAt(start + 20) - 48) * 100 +\n (text.charCodeAt(start + 21) - 48) * 10 +\n (text.charCodeAt(start + 22) - 48);\n }\n return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms;\n }\n const t = new Date(text.slice(start, end)).getTime();\n return Number.isFinite(t) ? t : null;\n }\n\n function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number {\n const i = text.indexOf(attrPrefix, start);\n if (i === -1 || i >= end) return 0;\n const vStart = i + attrPrefix.length;\n const j = text.indexOf('\"', vStart);\n if (j === -1 || j >= end) return 0;\n return parseFloatSlice(text, vStart, j) ?? 0;\n }\n\n // \u2500\u2500 GPX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseGPX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTrkpt = text.indexOf('');\n const name =\n (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) ||\n extractXmlTag(header, '', '') ||\n 'Unnamed Track';\n\n const gpxOpenEnd = header.indexOf('>', header.indexOf('', trkStart + 6);\n if (openEnd === -1) break;\n const trkEnd = text.indexOf('', openEnd + 1);\n if (trkEnd === -1) break;\n pos = trkEnd + 8;\n\n const lat = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lat=\"');\n const lon = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lon=\"');\n\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let temp: number | null = null;\n let speed: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = openEnd + 1;\n while (p < trkEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= trkEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= trkEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n // Skip duplicate block when primary fields already parsed\n const tagLen = gt - lt - 1;\n if (c1 === 103 && tagLen === 26 && hr !== null && cad !== null && temp !== null) {\n break;\n }\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > trkEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 3) {\n if (c1 === 101) ele = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 99 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 2) {\n if (c1 === 104 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 4) {\n if (c1 === 116) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if ((c1 === 112 || c1 === 80 || c1 === 87) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 115 || c1 === 83) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if ((c1 === 98 || c1 === 66) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 103 || c1 === 71) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if (c1 === 103) {\n if (text.charCodeAt(lt + 8) === 104 && hr === null)\n hr = parseIntSlice(text, vStart, vEnd);\n else if (gearFront === null) gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (c1 === 71 && gearFront === null) {\n gearFront = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 10) {\n if (c1 === 103 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 103 && text.charCodeAt(lt + 8) === 97 && temp === null)\n temp = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 103 || c1 === 71) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if ((c1 === 103 || c1 === 71) && gearFrontTooth === null)\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 65 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 11 && c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!points.length) throw new Error('No track points found in GPX');\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'gpx', points: pts, stats };\n }\n\n // \u2500\u2500 TCX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseTCX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTp = text.indexOf('');\n const header = firstTp !== -1 ? text.slice(0, firstTp) : text;\n\n const name = extractXmlTag(header, '', '') || 'Unnamed TCX';\n const creatorBlock = extractXmlTag(header, '', '');\n const device = creatorBlock ? extractXmlTag(creatorBlock, '', '') : null;\n\n const points: TrackPoint[] = [];\n let pos = firstTp !== -1 ? firstTp : 0;\n while (pos < text.length) {\n const tpStart = text.indexOf('', pos);\n if (tpStart === -1) break;\n const tpEnd = text.indexOf('', tpStart + 12);\n if (tpEnd === -1) break;\n pos = tpEnd + 13;\n\n let lat: number | null = null;\n let lon: number | null = null;\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let speed: number | null = null;\n let temp: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = tpStart + 12;\n while (p < tpEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= tpEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= tpEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n const tagLen = gt - lt - 1;\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > tpEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 4) {\n if (c1 === 84) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 116 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if (c1 === 86 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 87 || c1 === 80 || c1 === 112) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 83 || c1 === 115) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 66 || c1 === 98) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 71 || c1 === 103) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if ((c1 === 71 || c1 === 103) && gearFront === null)\n gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 10) {\n if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 11) {\n if (c1 === 84 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 71 || c1 === 103) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if (c1 === 65) {\n if (text.charCodeAt(lt + 2) === 108) ele = parseFloatSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if ((c1 === 71 || c1 === 103) && gearFrontTooth === null) {\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 15) {\n if (c1 === 76) lat = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 16) {\n if (c1 === 76) lon = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 2 && c1 === 104 && hr === null) {\n hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 3 && c1 === 99 && cad === null) {\n cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n if (lat == null || lon == null) continue;\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'tcx', points: pts, stats };\n }\n\n function fastDecodeFitData(buf: ArrayBuffer): any | null {\n if (buf.byteLength < 14) return null;\n const dv = new DataView(buf);\n const headerSize = dv.getUint8(0);\n if (headerSize < 12 || headerSize + 2 > buf.byteLength) return null;\n if (\n dv.getUint8(8) !== 0x2e ||\n dv.getUint8(9) !== 0x46 ||\n dv.getUint8(10) !== 0x49 ||\n dv.getUint8(11) !== 0x54\n ) {\n return null;\n }\n const dataSize = dv.getUint32(4, true);\n const endOffset = Math.min(buf.byteLength, headerSize + dataSize);\n const GARMIN_EPOCH_SEC = 631065600;\n const SEMICIRCLE_TO_DEG = 180 / Math.pow(2, 31);\n\n interface FieldDef {\n num: number;\n size: number;\n type: number;\n }\n interface MsgDef {\n littleEndian: boolean;\n globalMsgNum: number;\n fields: FieldDef[];\n recordSize: number;\n }\n const defs: (MsgDef | undefined)[] = new Array(16);\n const file_ids: any[] = [];\n const sessions: any[] = [];\n const records: any[] = [];\n const events: any[] = [];\n const device_infos: any[] = [];\n\n let offset = headerSize;\n while (offset < endOffset) {\n const hdr = dv.getUint8(offset++);\n if ((hdr & 0x80) !== 0 || (hdr & 0x20) !== 0) {\n return null; // Compressed timestamp or developer data: fallback to FitParser\n }\n const localNum = hdr & 0x0f;\n if ((hdr & 0x40) !== 0) {\n if (offset + 5 > endOffset) return null;\n offset++; // reserved\n const arch = dv.getUint8(offset++);\n const littleEndian = arch === 0;\n const globalMsgNum = dv.getUint16(offset, littleEndian);\n offset += 2;\n const numFields = dv.getUint8(offset++);\n if (offset + numFields * 3 > endOffset) return null;\n const fields: FieldDef[] = new Array(numFields);\n let recordSize = 0;\n for (let i = 0; i < numFields; i++) {\n const num = dv.getUint8(offset++);\n const size = dv.getUint8(offset++);\n const type = dv.getUint8(offset++);\n fields[i] = { num, size, type };\n recordSize += size;\n }\n defs[localNum] = { littleEndian, globalMsgNum, fields, recordSize };\n } else {\n const def = defs[localNum];\n if (!def || offset + def.recordSize > endOffset) return null;\n const le = def.littleEndian;\n const gNum = def.globalMsgNum;\n\n if (\n gNum === 20 &&\n def.fields.length === 10 &&\n def.recordSize === 25 &&\n def.fields[0].num === 253 &&\n def.fields[1].num === 0\n ) {\n const ts = dv.getUint32(offset, le);\n const rawLat = dv.getInt32(offset + 4, le);\n const rawLon = dv.getInt32(offset + 8, le);\n const rawAlt = dv.getUint16(offset + 12, le);\n const hr = dv.getUint8(offset + 14);\n const cad = dv.getUint8(offset + 15);\n const rawDist = dv.getUint32(offset + 16, le);\n const rawSpd = dv.getUint16(offset + 20, le);\n const power = dv.getUint16(offset + 22, le);\n const temp = dv.getInt8(offset + 24);\n records.push({\n timestamp: (ts + GARMIN_EPOCH_SEC) * 1000,\n position_lat: rawLat * SEMICIRCLE_TO_DEG,\n position_long: rawLon * SEMICIRCLE_TO_DEG,\n altitude: rawAlt / 5 - 500,\n heart_rate: hr,\n cadence: cad,\n distance: rawDist / 100,\n speed: (rawSpd / 1000) * 3.6,\n power,\n temperature: temp,\n });\n offset += 25;\n continue;\n }\n\n const msg: any = {};\n let fOff = offset;\n for (let i = 0; i < def.fields.length; i++) {\n const f = def.fields[i];\n let val: number = 0;\n const bType = f.type & 0x1f;\n if (f.size === 1) {\n val = bType === 1 ? dv.getInt8(fOff) : dv.getUint8(fOff);\n } else if (f.size === 2) {\n val = bType === 3 ? dv.getInt16(fOff, le) : dv.getUint16(fOff, le);\n } else if (f.size === 4) {\n val = bType === 5 ? dv.getInt32(fOff, le) : dv.getUint32(fOff, le);\n }\n msg[f.num] = val;\n fOff += f.size;\n }\n offset += def.recordSize;\n\n if (gNum === 0) {\n file_ids.push({\n type: msg[0] === 4 ? 'activity' : msg[0],\n manufacturer: msg[1] === 1 ? 'garmin' : msg[1],\n product: msg[2],\n time_created: msg[4] != null ? (msg[4] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n });\n } else if (gNum === 18) {\n const sportMap: Record = { 0: 'generic', 1: 'running', 2: 'cycling' };\n sessions.push({\n start_time: msg[2] != null ? (msg[2] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n sport: sportMap[msg[5]] ?? String(msg[5]),\n sub_sport: msg[6] === 0 ? 'generic' : String(msg[6]),\n });\n } else if (gNum === 20) {\n records.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n position_lat: msg[0] != null ? msg[0] * SEMICIRCLE_TO_DEG : undefined,\n position_long: msg[1] != null ? msg[1] * SEMICIRCLE_TO_DEG : undefined,\n altitude: msg[2] != null ? msg[2] / 5 - 500 : undefined,\n heart_rate: msg[3],\n cadence: msg[4],\n distance: msg[5] != null ? msg[5] / 100 : undefined,\n speed: msg[6] != null ? (msg[6] / 1000) * 3.6 : undefined,\n power: msg[7],\n temperature: msg[13],\n });\n } else if (gNum === 21) {\n const evName =\n msg[0] === 43\n ? 'rear_gear_change'\n : msg[0] === 42\n ? 'front_gear_change'\n : String(msg[0]);\n events.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n event: evName,\n event_type: msg[1] === 3 ? 'marker' : String(msg[1]),\n data: msg[3],\n front_gear_num: msg[9],\n rear_gear_num: msg[11],\n });\n } else if (gNum === 23) {\n device_infos.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n battery_level: msg[32],\n });\n } else {\n return null;\n }\n }\n }\n return { file_ids, sessions, sports: [], records, events, device_infos };\n }\n\n // \u2500\u2500 FIT parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseFIT(buf: ArrayBuffer): Promise {\n return new Promise((resolve, reject) => {\n const handleParsedFitData = (error: any, data: any) => {\n if (error) {\n reject(error);\n return;\n }\n try {\n const name = data.sessions?.[0]?.start_time\n ? `Fit Activity ${new Date(data.sessions[0].start_time).toISOString().split('T')[0]}`\n : 'Unnamed Fit';\n\n // Better device detection\n let device: string | null = null;\n const devices: DeviceInfo[] = [];\n let sport: string | null = null;\n let subSport: string | null = null;\n\n if (data.sports?.[0]) {\n sport = data.sports[0].sport;\n subSport = data.sports[0].sub_sport;\n } else if (data.sessions?.[0]) {\n sport = data.sessions[0].sport;\n subSport = data.sessions[0].sub_sport;\n }\n\n const getDeviceName = (d: any) =>\n d.product_name ||\n d.garmin_product ||\n d.product ||\n d.device_type ||\n d.manufacturer ||\n null;\n\n if (data.file_ids?.[0]) {\n const fid = data.file_ids[0];\n device = getDeviceName(fid);\n devices.push({\n name: fid.product_name || fid.garmin_product || fid.product,\n manufacturer: fid.manufacturer,\n serial: fid.serial_number ? String(fid.serial_number) : undefined,\n version: fid.software_version ? String(fid.software_version) : undefined,\n type: 'main',\n });\n }\n\n if (data.device_infos) {\n data.device_infos.forEach((d: any) => {\n const isMain = d.device_index === 'creator' || d.device_index === 0;\n\n if (isMain) {\n const name = getDeviceName(d);\n // Prefer a name with product_name or garmin_product over generic ones\n if (d.product_name || d.garmin_product || !device) device = name;\n\n // Update existing main device if needed\n if (devices.length > 0 && devices[0].type === 'main') {\n if (d.product_name || d.garmin_product || !devices[0].name)\n devices[0].name = d.product_name || d.garmin_product || d.product;\n\n if (!devices[0].manufacturer) devices[0].manufacturer = d.manufacturer;\n if (!devices[0].serial && d.serial_number)\n devices[0].serial = String(d.serial_number);\n if (!devices[0].version && d.software_version)\n devices[0].version = String(d.software_version);\n if (!devices[0].hardwareVersion && d.hardware_version)\n devices[0].hardwareVersion = String(d.hardware_version);\n }\n return;\n }\n\n devices.push({\n name: d.product_name || d.garmin_product || d.product || d.device_type || 'Sensor',\n manufacturer: d.manufacturer,\n serial: d.serial_number ? String(d.serial_number) : undefined,\n version: d.software_version ? String(d.software_version) : undefined,\n hardwareVersion: d.hardware_version ? String(d.hardware_version) : undefined,\n type: d.device_type || 'sensor',\n batteryStatus: d.battery_status,\n batteryVoltage: d.battery_voltage,\n batteryLevel: d.battery_level,\n sourceType: d.source_type != null ? String(d.source_type) : undefined,\n });\n });\n }\n\n if (data.sensor_settings) {\n data.sensor_settings.forEach((s: any) => {\n const name = s.name || s.product || s.sensor_type;\n if (!name) return;\n\n // Check if we already have this device (by ANT ID or name)\n const antId = s.ant_id ? String(s.ant_id) : undefined;\n const existing = devices.find(\n (d) =>\n (antId && d.serial === antId) ||\n (d.name === name && d.manufacturer === s.manufacturer),\n );\n\n if (existing) {\n if (!existing.name) existing.name = name;\n if (!existing.manufacturer) existing.manufacturer = s.manufacturer;\n if (!existing.type) existing.type = s.sensor_type;\n if (!existing.sourceType)\n existing.sourceType =\n s.connection_type != null ? String(s.connection_type) : undefined;\n } else {\n devices.push({\n name: name,\n manufacturer: s.manufacturer,\n serial: antId,\n type: s.sensor_type || 'sensor',\n sourceType: s.connection_type != null ? String(s.connection_type) : undefined,\n });\n }\n });\n }\n\n // Collect standalone device status reports (often contains head unit battery)\n // We'll store them in a sorted array for easier lookups\n const statusReports: { time: number; level: number | null; idx: number }[] = [];\n if (data.device_statuses) {\n data.device_statuses.forEach((s: any, idx: number) => {\n if (s.timestamp && s.battery_level != null) {\n statusReports.push({\n time:\n typeof s.timestamp === 'number' ? s.timestamp : new Date(s.timestamp).getTime(),\n level: s.battery_level,\n idx,\n });\n }\n });\n statusReports.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n // Collect gear events\n const gearEvents: {\n time: number;\n front: number | null;\n rear: number | null;\n frontTooth: number | null;\n rearTooth: number | null;\n idx: number;\n }[] = [];\n if (data.events) {\n data.events.forEach((e: any, idx: number) => {\n let front = e.front_gear_num ?? e.front_gear ?? null;\n let rear = e.rear_gear_num ?? e.rear_gear ?? null;\n let frontTooth = e.front_gear_num_tooth ?? null;\n let rearTooth = e.rear_gear_num_tooth ?? null;\n\n if (e.event === 'rear_gear_change' || e.event === 'front_gear_change') {\n const d = e.data;\n if (d != null) {\n const ft = (d >> 24) & 0xff;\n const fg = (d >> 16) & 0xff;\n const rt = (d >> 8) & 0xff;\n const rg = d & 0xff;\n\n if (fg !== 0) front = fg;\n if (ft !== 0) frontTooth = ft;\n if (rg !== 0) rear = rg;\n if (rt !== 0) rearTooth = rt;\n }\n }\n\n if (\n e.timestamp &&\n (front != null || rear != null || frontTooth != null || rearTooth != null)\n ) {\n gearEvents.push({\n time:\n typeof e.timestamp === 'number' ? e.timestamp : new Date(e.timestamp).getTime(),\n front,\n rear,\n frontTooth,\n rearTooth,\n idx,\n });\n }\n });\n gearEvents.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n const records = data.records || [];\n let lastBattery: number | null = null;\n let statusIdx = 0;\n let lastFrontGear: number | null = null;\n let lastRearGear: number | null = null;\n let lastFrontTooth: number | null = null;\n let lastRearTooth: number | null = null;\n let gearIdx = 0;\n\n const validPoints: TrackPoint[] = [];\n for (let ri = 0; ri < records.length; ri++) {\n const r = records[ri];\n const lat = r.position_lat;\n const lon = r.position_long;\n if (lat == null || lon == null) continue;\n\n const time =\n r.timestamp != null\n ? typeof r.timestamp === 'number'\n ? r.timestamp\n : r.timestamp instanceof Date\n ? r.timestamp.getTime()\n : new Date(r.timestamp).getTime()\n : null;\n const speed = r.speed != null ? r.speed / 3.6 : null; // km/h \u2192 m/s\n\n let battery = r.battery_level ?? null;\n\n // If not in record, check our status reports\n if (battery == null && time) {\n // Catch up statusIdx to current time\n while (statusIdx < statusReports.length && statusReports[statusIdx].time <= time) {\n lastBattery = statusReports[statusIdx].level;\n statusIdx++;\n }\n battery = lastBattery;\n } else if (battery != null) {\n lastBattery = battery;\n }\n\n // Update gear state from events\n if (time) {\n while (gearIdx < gearEvents.length && gearEvents[gearIdx].time <= time) {\n const e = gearEvents[gearIdx];\n if (e.front != null) lastFrontGear = e.front;\n if (e.rear != null) lastRearGear = e.rear;\n if (e.frontTooth != null) lastFrontTooth = e.frontTooth;\n if (e.rearTooth != null) lastRearTooth = e.rearTooth;\n gearIdx++;\n }\n }\n\n const gearFront: number | null = r.front_gear_num ?? r.front_gear ?? lastFrontGear;\n const gearRear: number | null = r.rear_gear_num ?? r.rear_gear ?? lastRearGear;\n const gearFrontTooth: number | null = r.front_gear_num_tooth ?? lastFrontTooth;\n const gearRearTooth: number | null = r.rear_gear_num_tooth ?? lastRearTooth;\n\n if (r.front_gear_num != null || r.front_gear != null) lastFrontGear = gearFront;\n if (r.rear_gear_num != null || r.rear_gear != null) lastRearGear = gearRear;\n if (r.front_gear_num_tooth != null) lastFrontTooth = gearFrontTooth;\n if (r.rear_gear_num_tooth != null) lastRearTooth = gearRearTooth;\n\n const gears =\n gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0\n ? gearFrontTooth / gearRearTooth\n : null;\n\n validPoints.push({\n lat,\n lon,\n ele: r.altitude ?? r.enhanced_altitude ?? null,\n time,\n hr: r.heart_rate ?? null,\n cad: r.cadence ?? null,\n power: r.power ?? null,\n speed,\n temp: r.temperature ?? null,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!validPoints.length) {\n reject(new Error('FIT file has no GPS points'));\n return;\n }\n\n const pts = enrichPoints(validPoints);\n const stats = computeStats(pts);\n resolve({ name, device, devices, format: 'fit', points: pts, stats, sport, subSport });\n } catch (ex) {\n reject(ex);\n }\n };\n\n const fastData = fastDecodeFitData(buf);\n if (fastData) {\n handleParsedFitData(null, fastData);\n return;\n }\n\n const fitParser = new FitParser({\n force: true,\n speedUnit: 'km/h',\n lengthUnit: 'm',\n temperatureUnit: 'celsius',\n elapsedRecordField: true,\n });\n\n fitParser.parse(buf, handleParsedFitData);\n });\n }\n\n // \u2500\u2500 KML parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseKML(buf: ArrayBuffer): any {\n const text = new TextDecoder().decode(buf);\n const doc = new DOMParser().parseFromString(text, 'application/xml');\n\n let name = 'Unnamed Track';\n const nameEl = doc.querySelector('Document > name, Placemark > name');\n if (nameEl) name = nameEl.textContent?.trim() || name;\n\n // Track: look for gx:Track or LineString\n const coordEls = doc.querySelectorAll('coordinates');\n if (!coordEls.length) throw new Error('No coordinates found in KML');\n\n const points: TrackPoint[] = [];\n coordEls.forEach((el) => {\n const lines = el.textContent?.trim().split(/\\s+/) || [];\n lines.forEach((line) => {\n const parts = line.split(',');\n if (parts.length < 2) return;\n const lon = parseFloat(parts[0]);\n const lat = parseFloat(parts[1]);\n const ele = parts.length > 2 ? parseFloat(parts[2]) : null;\n if (isNaN(lat) || isNaN(lon)) return;\n points.push({\n lat,\n lon,\n ele: ele != null && isNaN(ele) ? null : ele,\n time: null,\n hr: null,\n cad: null,\n power: null,\n speed: null,\n temp: null,\n gearFront: null,\n gearRear: null,\n gearFrontTooth: null,\n gearRearTooth: null,\n battery: null,\n gears: null,\n });\n });\n });\n\n if (!points.length) throw new Error('No valid coordinates in KML');\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, format: 'kml', points: pts, stats };\n }\n\n // \u2500\u2500 Public: dispatch by extension \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n async function parseFile(file: File): Promise {\n const ext = file.name.split('.').pop()?.toLowerCase();\n const buf: ArrayBuffer = (file as any)._buf ?? (await file.arrayBuffer());\n const predecodedText: string | undefined = (file as any)._text;\n let result: any;\n switch (ext) {\n case 'gpx':\n result = parseGPX(buf, predecodedText);\n break;\n case 'tcx':\n result = parseTCX(buf, predecodedText);\n break;\n case 'fit':\n result = await parseFIT(buf);\n break;\n case 'kml':\n result = parseKML(buf);\n break;\n default:\n throw new Error(`Unsupported format: .${ext}`);\n }\n\n if (result) {\n result.fileName = file.name;\n result.fileSize = file.size;\n if (result.points && result.stats) {\n ensureCurvesAndZones(result);\n result.stats.sections = analyzeTrackSections(result.points);\n }\n }\n return result;\n }\n\n return {\n parseFile,\n computeStats,\n ensureCurvesAndZones,\n analyzeTrackSections,\n findOverlaps,\n calculatePowerCurve,\n calculateHRCurve,\n calculatePowerZones,\n calculateHRZones,\n enrichPoints,\n setHRZones,\n getHRZones,\n setFTP,\n getFTP,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number {\n const R = 6371e3; // Earth radius in metres\n const phi1 = (lat1 * Math.PI) / 180;\n const phi2 = (lat2 * Math.PI) / 180;\n const deltaPhi = ((lat2 - lat1) * Math.PI) / 180;\n const deltaLambda = ((lon2 - lon1) * Math.PI) / 180;\n\n const a =\n Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) +\n Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2);\n const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n\n return R * c;\n}\n\nexport function compactId(timestamp: number): string {\n // Use a compact representation of the timestamp (seconds since epoch)\n // 1712650000 -> Base64\n const buf = new Uint32Array([Math.floor(timestamp / 1000)]);\n const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer)));\n return b64.replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n}\n\nexport function generateId(): string {\n return Math.random().toString(36).slice(2, 10);\n}\n\nexport function shortRandom(): string {\n return Math.random().toString(36).slice(2, 6);\n}\n\nexport function fmtDuration(s: number): string {\n if (s < 60) return `${Math.round(s)}s`;\n if (s < 3600) return `${Math.round(s / 60)}m`;\n return `${Math.round(s / 3600)}h`;\n}\n\nexport function fmtSecs(s: number): string {\n const h = Math.floor(s / 3600),\n m = Math.floor((s % 3600) / 60);\n return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`;\n}\n\nexport function fmtPace(seconds: number | null): string {\n if (seconds == null || !isFinite(seconds)) return '--';\n const mins = Math.floor(seconds / 60);\n const secs = Math.round(seconds % 60);\n return `${mins}:${secs.toString().padStart(2, '0')}`;\n}\n\nexport function fmtDate(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown date';\n return d.toISOString().split('T')[0];\n}\n\nexport function fmtDateTime(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown';\n const iso = d.toISOString();\n return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`;\n}\n\nexport function fmtFileSize(bytes: number): string {\n if (bytes === 0) return '0 B';\n const k = 1024;\n const sizes = ['B', 'KB', 'MB', 'GB'];\n const i = Math.floor(Math.log(bytes) / Math.log(k));\n return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\nexport function escHtml(str: string): string {\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"');\n}\n\nexport function getTagColor(name: string): string {\n let hash = 0;\n for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash);\n\n const h = Math.abs(hash % 360);\n return `hsl(${h}, 70%, 65%)`;\n}\n\n/**\n * Smoothes a numeric array using a simple Gaussian kernel.\n * sigma: standard deviation (radius of smoothing)\n */\nexport function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] {\n if (sigma <= 0) return data;\n\n const size = Math.ceil(sigma * 3) * 2 + 1;\n const kernel = new Float32Array(size);\n const half = Math.floor(size / 2);\n let sum = 0;\n\n for (let i = 0; i < size; i++) {\n const x = i - half;\n kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma));\n sum += kernel[i];\n }\n for (let i = 0; i < size; i++) kernel[i] /= sum;\n\n const result: (number | null)[] = new Array(data.length);\n for (let i = 0; i < data.length; i++) {\n if (data[i] === null) {\n result[i] = null;\n continue;\n }\n\n let val = 0;\n let weightSum = 0;\n for (let k = 0; k < size; k++) {\n const idx = i + k - half;\n if (idx >= 0 && idx < data.length && data[idx] !== null) {\n val += data[idx]! * kernel[k];\n weightSum += kernel[k];\n }\n }\n result[i] = weightSum > 0 ? val / weightSum : data[i];\n }\n return result;\n}\n\nexport function hexToRgba(hex: string, alpha: number = 1): string {\n const r = parseInt(hex.slice(1, 3), 16);\n const g = parseInt(hex.slice(3, 5), 16);\n const b = parseInt(hex.slice(5, 7), 16);\n return `rgba(${r}, ${g}, ${b}, ${alpha})`;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, TrackPoint } from './parsers';\n\nexport const MapView = (() => {\n let trackData: Record = {};\n let customClickHandler: ((e: any) => boolean) | null = null;\n\n function init(\n onSelectCb: (id: string) => void,\n onMoveCb: (lat: number, lng: number, zoom: number) => void,\n onPointClickCb: (id: string, idx: number) => void,\n onPointHoverCb: (id: string | null, idx: number | null) => void,\n onDblClickCb: () => void,\n ) {}\n\n function switchBasemap(layer: string) {}\n function addTrack(t: TrackData) {\n trackData[t.id] = t;\n }\n function addTracks(ts: TrackData[]) {\n ts.forEach((t) => {\n trackData[t.id] = t;\n });\n }\n function removeTrack(id: string) {\n delete trackData[id];\n }\n function clearTracks() {\n trackData = {};\n }\n function removeAllTracks() {\n trackData = {};\n }\n function setTrackVisible(id: string, visible: boolean) {}\n function setSelectedTrack(id: string | null, fit: boolean) {}\n function fitAll() {}\n function fitTrack(id: string) {}\n function showCursorAt(lat: number, lon: number) {}\n function hideCursor() {}\n function highlightSegment(\n id: string | null,\n pts: TrackPoint[],\n start: number,\n end: number,\n fit?: boolean,\n colors?: string[] | null,\n ) {}\n function clearHighlight() {}\n function setTrackHover(id: string, hover: boolean) {}\n function ensureVisible(pts: any) {}\n function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {}\n function closePopup() {}\n function invalidateSize() {}\n function getPosition(): [number, number, number] {\n return [0, 0, 0];\n }\n function setPosition(lat: number, lng: number, zoom: number) {}\n function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {}\n function clearMetricColor(id: string) {}\n\n function findTracksPassingThroughPoints(\n points: { lat: number; lng: number }[],\n radius: number,\n ): string[] {\n return Object.keys(trackData);\n }\n\n return {\n init,\n getMap: () => null as any,\n setCustomClickHandler: (handler: any) => {\n customClickHandler = handler;\n },\n switchBasemap,\n addTrack,\n addTracks,\n removeTrack,\n clearTracks,\n removeAllTracks,\n setTrackVisible,\n setSelectedTrack,\n fitAll,\n fitTrack,\n showCursorAt,\n hideCursor,\n highlightSegment,\n clearHighlight,\n setTrackHover,\n ensureVisible,\n centerOn,\n closePopup,\n invalidateSize,\n getPosition,\n setPosition,\n colorTrackByMetric,\n clearMetricColor,\n findTracksPassingThroughPoints,\n getTrackData: (id: string) => trackData[id],\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackPoint, TrackStats, TrackData } from './parsers';\nimport { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils';\nimport { Zones } from './zones';\nimport { METRICS, MetricDefinition } from './metrics';\nimport { UrlState } from './url-state';\nimport { SPORTS } from './sports';\n\n// Augment uPlot to include our custom property\n\ninterface WegPlot extends uPlot {\n _strasse?: {\n selFill: HTMLElement;\n anchorLine: HTMLElement;\n anchorLabel: HTMLElement;\n anchorHandle: HTMLElement;\n anchorMarker: HTMLElement;\n endLine: HTMLElement;\n endLabel: HTMLElement;\n endHandle: HTMLElement;\n endMarker: HTMLElement;\n curYVal: HTMLElement;\n updateHeaderStats: (min: number, max: number) => void;\n };\n}\n\ninterface PlotData {\n uplot: WegPlot;\n row: HTMLDivElement;\n xData: number[];\n yData: (number | null)[];\n def: MetricDefinition;\n metricKey: string;\n statsTotalEl: HTMLDivElement;\n statsSelEl: HTMLDivElement;\n histCol: HTMLDivElement;\n histCanvas: HTMLCanvasElement;\n histData: HistData;\n hoveredHistY: number | null;\n pinnedHistY: number | null;\n smoothed?: boolean;\n incZero?: boolean;\n w?: number;\n}\n\ninterface HistData {\n yData: (number | null)[];\n xData: number[];\n def: MetricDefinition;\n BINS: number;\n plot?: PlotData;\n bins?: number[];\n binAccum?: number[];\n min?: number;\n max?: number;\n padL?: number;\n selBins?: number[] | null;\n selBinAccum?: number[] | null;\n _lastYData?: any;\n _lastSelRange?: [number, number] | null;\n fullStats?: { min: number; max: number; avg: number } | null;\n fullStatsAll?: { min: number; max: number; avg: number } | null;\n}\n\nexport const ChartView = (() => {\n let plots: PlotData[] = [];\n let renderedTrack: TrackData | null = null;\n let renderedXAxis: string = 'time';\n let renderedSpeedMode: string = 'speed';\n let renderedMapColorMetric: string | null = null;\n let syncKey: {\n key: string;\n sub: (u: uPlot) => void;\n unsub: (u: uPlot) => void;\n pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void;\n } | null = null;\n let scaleSyncing: boolean = false;\n let cursorSyncing: boolean = false;\n let activeMetrics: Set = new Set(['elevation']);\n let availableMetrics: Set = new Set();\n let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']);\n let metricsIncludingZero: Set = new Set(['power']);\n let xAxis: string = 'time';\n let currentTrack: TrackData | null = null;\n let allTracks: TrackData[] = [];\n\n // Selection / anchor\n let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge\n let selEndVal: number | null = null; // x-value at zoom right edge\n let isDragging: boolean = false;\n let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag\n let pinnedPtIdx: number | null = null; // point index pinned by map click\n let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center\n let lastHistMouseEvent: MouseEvent | null = null;\n let hoveredHistData: HistData | null = null;\n let hoveredHistCanvas: HTMLCanvasElement | null = null;\n\n let currentXRange: [number, number] | null = null; // [min, max] currently rendered\n let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation\n let animId: number | null = null;\n\n // Callbacks\n let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null;\n let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null =\n null;\n let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null;\n let onPinChangeCb: ((idx: number | null) => void) | null = null;\n\n const HIST_W: number = 130;\n const ROW_BODY_PADDING: number = 28; // 14px left + 14px right\n const HIST_GAP: number = 20; // margin-left on .hist-col\n let statsVisible: boolean = true;\n let histTooltipEl: HTMLElement | null = null;\n let container: HTMLElement | null = null;\n let emptyEl: HTMLElement | null = null;\n let selStatsEl: HTMLElement | null = null;\n let resetSelBtn: HTMLElement | null = null;\n let mapColorMetric: string | null = null;\n let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null =\n null;\n\n // \u2500\u2500 Init \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function init(\n onCursorMove: (pt: TrackPoint | null) => void,\n onRangeChange: (min: number | null, max: number | null, axis: string) => void,\n onClick: (pt: TrackPoint, idx: number) => void,\n onPinChange: (idx: number | null) => void,\n ) {\n onCursorMoveCb = onCursorMove;\n onRangeChangeCb = onRangeChange;\n onClickCb = onClick;\n onPinChangeCb = onPinChange;\n container = document.getElementById('charts-container');\n container?.addEventListener('scroll', () => {\n if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData)\n updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData);\n });\n emptyEl = document.getElementById('chart-empty');\n selStatsEl = document.getElementById('chart-stats-sel');\n resetSelBtn = document.getElementById('btn-reset-selection');\n histTooltipEl = document.getElementById('hist-tooltip');\n syncKey = uPlot.sync('strasse-sync');\n\n document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection);\n resetSelBtn?.classList.add('hidden');\n\n // \u2500\u2500 WASD Keyboard Navigation \u2500\u2500\n const navKeys = new Set(['w', 'a', 's', 'd']);\n const activeNavKeys = new Set();\n\n document.addEventListener('keydown', (e) => {\n if (!plots.length || !currentTrack) return;\n if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return;\n\n const key = e.key.toLowerCase();\n if (!navKeys.has(key)) return;\n\n e.preventDefault();\n activeNavKeys.add(key);\n\n const u = plots[0].uplot;\n if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!];\n\n let [min, max] = targetXRange;\n const span = max - min;\n const moveStep = span * 0.1;\n const zoomFactor = 0.15;\n\n let newMin = min,\n newMax = max;\n\n if (key === 'a') {\n // Pan left\n newMin = min - moveStep;\n newMax = max - moveStep;\n } else if (key === 'd') {\n // Pan right\n newMin = min + moveStep;\n newMax = max + moveStep;\n } else if (key === 'w' || key === 's') {\n // Zoom\n const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2;\n const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2;\n newMin = center - (center - min) * factor;\n newMax = center + (max - center) * factor;\n }\n\n // Clamp to track bounds\n const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!];\n if (newMin < xFull[0]) {\n const d = xFull[0] - newMin;\n newMin += d;\n newMax += d;\n }\n if (newMax > xFull[1]) {\n const d = newMax - xFull[1];\n newMin -= d;\n newMax -= d;\n }\n newMin = Math.max(xFull[0], newMin);\n newMax = Math.min(xFull[1], newMax);\n\n if (newMax - newMin > 0.001) {\n targetXRange = [newMin, newMax];\n setVisibleRange(newMin, newMax, true); // true = animate\n }\n });\n\n document.addEventListener('keyup', (e) => {\n const key = e.key.toLowerCase();\n if (navKeys.has(key)) activeNavKeys.delete(key);\n });\n }\n\n function setVisibleRange(min: number, max: number, animate = false) {\n if (!plots.length) return;\n if (!animate) {\n plots.forEach(({ uplot: u }) => u.setScale('x', { min, max }));\n return;\n }\n\n const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number;\n const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number;\n\n if (animId) cancelAnimationFrame(animId);\n\n const lerp = (a: number, b: number, t: number) => a + (b - a) * t;\n const factor = 0.25; // Smoothing factor\n\n const step = () => {\n if (!targetXRange) return;\n const [tMin, tMax] = targetXRange;\n\n const cMin = lerp(currentXRange![0], tMin, factor);\n const cMax = lerp(currentXRange![1], tMax, factor);\n\n plots.forEach(({ uplot: u }) => {\n u.setScale('x', { min: cMin, max: cMax });\n });\n\n if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001)\n animId = requestAnimationFrame(step);\n else animId = null;\n };\n animId = requestAnimationFrame(step);\n }\n\n // \u2500\u2500 Public API \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n allTracks = others;\n\n // Detect which metrics are available in this file\n availableMetrics = new Set(\n Object.entries(METRICS)\n .filter(([, def]) => track.points.some((p) => p[def.field] != null))\n .map(([key]) => key),\n );\n\n // If no metrics are active (e.g. first load), default to core overview metrics\n if (activeMetrics.size === 0) {\n activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m)));\n }\n\n // Sync the pill buttons in the toolbar\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n const metric = pill.dataset.metric!;\n const isAvailable = availableMetrics.has(metric);\n pill.classList.toggle('active', isAvailable && activeMetrics.has(metric));\n pill.classList.toggle('disabled', !isAvailable);\n });\n\n currentTrack = track;\n if (deferRender) {\n updateStats(track);\n } else {\n render();\n }\n }\n\n function clear() {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n currentTrack = null;\n destroyPlots();\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
Select a track to view analysis
\n `;\n }\n const chartStats = document.getElementById('chart-stats');\n if (chartStats) chartStats.classList.add('hidden');\n clearSelectionStats();\n mapColorMetric = null;\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n }\n\n function resetState() {\n if (animId !== null) {\n cancelAnimationFrame(animId);\n animId = null;\n }\n activeMetrics = new Set(['elevation']);\n availableMetrics = new Set();\n smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']);\n metricsIncludingZero = new Set(['power']);\n xAxis = 'time';\n allTracks = [];\n currentXRange = null;\n targetXRange = null;\n lastMouseXVal = null;\n lastHistMouseEvent = null;\n hoveredHistData = null;\n hoveredHistCanvas = null;\n statsVisible = true;\n clear();\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n pill.classList.remove('disabled', 'overflow-hidden');\n });\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.add('hidden');\n const toolbar = document.getElementById('chart-toolbar');\n if (toolbar) toolbar.classList.remove('collapsed');\n document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time');\n });\n }\n\n function toggleMetric(key: string) {\n if (activeMetrics.has(key)) activeMetrics.delete(key);\n else activeMetrics.add(key);\n if (currentTrack) render(true);\n }\n\n function setSmooth(metricKey: string, enabled: boolean, skipRender = false) {\n const has = smoothedMetrics.has(metricKey);\n if (enabled && !has) {\n smoothedMetrics.add(metricKey);\n if (currentTrack && !skipRender) render(true);\n } else if (!enabled && has) {\n smoothedMetrics.delete(metricKey);\n if (currentTrack && !skipRender) render(true);\n }\n }\n\n function setZeroInclusion(metricKey: string, includeZero: boolean) {\n const has = metricsIncludingZero.has(metricKey);\n if (includeZero && !has) {\n metricsIncludingZero.add(metricKey);\n if (currentTrack) render(true);\n } else if (!includeZero && has) {\n metricsIncludingZero.delete(metricKey);\n if (currentTrack) render(true);\n }\n }\n\n function setActiveMetrics(keys: string[]) {\n activeMetrics = new Set(keys);\n if (currentTrack) render(true);\n // Sync the pill buttons\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n });\n }\n\n function setXAxis(axis: string) {\n if (xAxis === axis || !currentTrack) {\n xAxis = axis;\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n\n // Helper to convert a value from OLD axis to NEW axis\n const convert = (val: number | null) => {\n if (val === null) return null;\n // We need to find the point index closest to 'val' on the OLD axis\n let idx = 0;\n if (xAxis === 'distance') {\n const dTarget = val * 1000;\n idx = pts.findIndex((p) => (p.dist || 0) >= dTarget);\n } else {\n const tTarget = t0 + val * 1000;\n idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n }\n if (idx === -1) idx = pts.length - 1;\n\n // Now get the value at this index on the NEW axis\n if (axis === 'distance') return (pts[idx].dist || 0) / 1000;\n else return ((pts[idx].time || t0) - t0) / 1000;\n };\n\n // Convert selection\n if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal);\n if (selEndVal !== null) selEndVal = convert(selEndVal);\n\n // Convert zoom range (from first plot)\n let newRange: [number, number] | null = null;\n if (plots.length) {\n const u = plots[0].uplot;\n const r0 = convert(u.scales.x!.min!);\n const r1 = convert(u.scales.x!.max!);\n if (r0 !== null && r1 !== null) newRange = [r0, r1];\n }\n\n xAxis = axis;\n render(true);\n\n // Apply converted zoom\n if (newRange) {\n scaleSyncing = true;\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] }));\n });\n scaleSyncing = false;\n }\n }\n\n function toggleStats() {\n statsVisible = !statsVisible;\n plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible));\n resize();\n }\n\n function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) {\n onMapColorChangeCb = cb;\n }\n\n function toggleMapColor(key: string | null, skipRender = false) {\n if (mapColorMetric === key || key === null) {\n mapColorMetric = null;\n _updateMapColorBtns();\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n } else {\n mapColorMetric = key;\n _updateMapColorBtns();\n _fireMapColorCb();\n }\n // Re-render to show/hide colored fills on the graphs\n if (currentTrack && !skipRender) render(true);\n }\n\n function _updateMapColorBtns() {\n document.querySelectorAll('.map-color-btn').forEach((el) => {\n const b = el as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === mapColorMetric);\n });\n }\n\n function _fireMapColorCb() {\n if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return;\n const plot = plots.find((p) => p.metricKey === mapColorMetric);\n if (!plot) return;\n const colors = _computePointColors(mapColorMetric, plot.yData);\n onMapColorChangeCb({ pts: currentTrack.points, colors });\n }\n\n function _computePointColors(key: string, yData: (number | null)[]): string[] {\n const vals = yData.filter((v): v is number => v != null && isFinite(v));\n if (!vals.length) return yData.map(() => '#888896');\n const min = Math.min(...vals),\n max = Math.max(...vals);\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n return yData.map((v) => {\n if (v == null || !isFinite(v)) return '#888896';\n if (key === 'gradient') return gradientColor(v);\n if (key === 'speed') {\n if (speedMode === 'pace') {\n const speed = (paceUnit === 'km' ? 1000 : 100) / v;\n return speedColor(speed);\n }\n return speedColor(v);\n }\n const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min)));\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25);\n if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25);\n if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25);\n return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25);\n });\n }\n\n function resetZoom() {\n cancelSelection();\n }\n\n function cancelSelection() {\n selAnchorVal = null;\n selEndVal = null;\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n\n // Reset individual histogram pins\n plots.forEach((p) => {\n p.pinnedHistY = null;\n });\n\n updateSelOverlay();\n redrawHistograms();\n\n // Perform the actual zoom reset\n scaleSyncing = true;\n plots.forEach(({ uplot: u, xData }) => {\n u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! }));\n u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!);\n });\n scaleSyncing = false;\n\n if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis);\n }\n\n function setSelectionStats(stats: TrackStats) {\n if (!selStatsEl) return;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt(\n 'sel-distance',\n stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '\u2014',\n );\n fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '\u2014');\n fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '\u2014');\n fmt(\n 'sel-avg-speed',\n stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014',\n );\n fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '\u2014');\n fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '\u2014');\n fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n selStatsEl.classList.remove('hidden');\n if (resetSelBtn) resetSelBtn.classList.remove('hidden');\n }\n\n function clearSelectionStats() {\n if (selStatsEl) selStatsEl.classList.add('hidden');\n if (resetSelBtn) resetSelBtn.classList.add('hidden');\n [\n 'sel-distance',\n 'sel-duration',\n 'sel-elevation',\n 'sel-avg-speed',\n 'sel-avg-power',\n 'sel-avg-hr',\n 'sel-avg-temp',\n ].forEach((id) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = '--';\n });\n }\n\n // Called on boot to restore a saved selection without re-firing onRangeChangeCb\n // xMin/xMax are ALWAYS provided in Time (seconds from start)\n function restoreSelection(tMin: number, tMax: number, deferRender = false) {\n if (!currentTrack) return;\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000;\n\n // If values look like absolute timestamps in ms, convert to seconds from start\n if (tMin > 1e12) tMin = (tMin - t0) / 1000;\n if (tMax > 1e12) tMax = (tMax - t0) / 1000;\n\n // Crop to max limits of the track\n tMin = Math.max(0, Math.min(tMin, totalDuration));\n tMax = Math.max(0, Math.min(tMax, totalDuration));\n\n const convert = (tOffset: number) => {\n if (xAxis === 'time') return tOffset;\n const tTarget = t0 + tOffset * 1000;\n let idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n if (idx === -1) idx = pts.length - 1;\n return (pts[idx].dist || 0) / 1000;\n };\n\n const xMin = convert(tMin);\n const xMax = convert(tMax);\n\n selAnchorVal = xMin;\n selEndVal = xMax;\n currentXRange = [xMin, xMax];\n if (deferRender) return;\n scaleSyncing = true; // suppress the setScale \u2192 onRangeChangeCb loop\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: xMin, max: xMax }));\n });\n scaleSyncing = false;\n updateAnchorLines();\n redrawHistograms();\n }\n\n function resize() {\n if (!plots.length || !container) return;\n const w = Math.round(\n Math.max(\n 100,\n container.getBoundingClientRect().width -\n ROW_BODY_PADDING -\n (statsVisible ? HIST_W + HIST_GAP : 0),\n ),\n );\n let anyResized = false;\n plots.forEach(({ uplot: u, histCanvas, histData }) => {\n if (w !== u.width) {\n u.setSize({ width: w, height: u.height });\n anyResized = true;\n if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height);\n }\n });\n if (anyResized) updateSelOverlay();\n }\n\n // \u2500\u2500 Render \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function render(keepState = false) {\n let savedRange: [number, number] | null = null;\n let savedScroll = 0;\n if (keepState && container) savedScroll = container.scrollTop;\n\n if (keepState && currentXRange) {\n savedRange = [currentXRange[0], currentXRange[1]];\n } else if (keepState && plots.length) {\n const u = plots[0].uplot;\n savedRange = [u.scales.x!.min!, u.scales.x!.max!];\n }\n\n if (!currentTrack) {\n destroyPlots(keepState);\n return;\n }\n const pts = currentTrack.points;\n if (!pts.length) {\n destroyPlots(keepState);\n return;\n }\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n const available = [...activeMetrics].filter((m) =>\n pts.some((p) => p[METRICS[m].field] != null),\n );\n if (!available.length) {\n destroyPlots(keepState);\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
No data for selected metrics
\n `;\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n\n const containerW = container ? container.getBoundingClientRect().width : 800;\n const w = Math.round(\n Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)),\n );\n\n const canReuse =\n keepState &&\n renderedTrack === currentTrack &&\n renderedXAxis === xAxis &&\n renderedSpeedMode === speedMode &&\n renderedMapColorMetric === mapColorMetric &&\n plots.length > 0;\n\n let xData: (number | null)[];\n if (canReuse) {\n xData = plots[0].xData;\n } else if (xAxis === 'distance') {\n xData = pts.map((p) => (p.dist || 0) / 1000);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n let lastValidX = 0;\n xData = pts.map((p) => {\n if (p.time != null) {\n lastValidX = (p.time - t0) / 1000;\n return lastValidX;\n }\n return lastValidX; // monotonic fallback\n });\n }\n\n const existingByKey = new Map();\n if (canReuse) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const availSet = new Set(available);\n for (const p of plots) {\n const isSmoothed = smoothedMetrics.has(p.metricKey);\n const isIncZero = metricsIncludingZero.has(p.metricKey);\n if (\n availSet.has(p.metricKey) &&\n p.smoothed === isSmoothed &&\n p.incZero === isIncZero &&\n p.w === w\n ) {\n existingByKey.set(p.metricKey, p);\n } else {\n syncKey!.unsub(p.uplot);\n p.uplot.destroy();\n p.row.remove();\n }\n }\n plots = [];\n } else {\n destroyPlots(keepState);\n }\n\n if (container) {\n const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null);\n let nextExisting: HTMLElement | null = null;\n for (let i = available.length - 1; i >= 0; i--) {\n nextSiblingRows[i] = nextExisting;\n const ex = existingByKey.get(available[i]);\n if (ex) nextExisting = ex.row;\n }\n\n available.forEach((key, idx) => {\n const reused = existingByKey.get(key);\n if (reused) {\n plots.push(reused);\n const uplot = reused.uplot;\n const s = (uplot as any)._strasse;\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n uplot.batch(() => {\n if (\n savedRange &&\n (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1])\n ) {\n uplot.setScale('x', { min: savedRange[0], max: savedRange[1] });\n } else {\n s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot);\n uplot.redraw(false);\n }\n });\n scaleSyncing = prevSync;\n\n let initHoverBinI: number | null = null;\n if (\n pinnedPtIdx != null &&\n reused.xData[pinnedPtIdx] != null &&\n reused.yData[pinnedPtIdx] != null\n ) {\n buildHistBins(reused.histData);\n if (reused.histData.min != null && reused.histData.max != null) {\n const span = reused.histData.max - reused.histData.min || 1;\n initHoverBinI = Math.min(\n reused.histData.BINS - 1,\n Math.floor(\n ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) *\n reused.histData.BINS,\n ),\n );\n reused.hoveredHistY = reused.yData[pinnedPtIdx];\n }\n }\n drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI);\n return;\n }\n\n let def = METRICS[key];\n\n let transform = def.transform;\n let fmt = def.fmt;\n let fmtAxis = def.fmtAxis;\n let unit = def.unit;\n let label = def.label;\n\n if (key === 'speed' && speedMode === 'pace') {\n label = 'Pace';\n unit = `min/${paceUnit}`;\n fmt = (v) => fmtPace(v);\n fmtAxis = (v) => fmtPace(v);\n transform = (v) => {\n if (v == null || v < 0.1) return null;\n return (paceUnit === 'km' ? 1000 : 100) / v;\n };\n\n def = { ...def, label, unit, fmt, fmtAxis, transform };\n }\n\n let yData = def.compute\n ? def.compute(pts, fillNulls)\n : fillNulls(\n pts.map((p) => {\n const v = p[def.field] as number;\n return v != null && transform ? transform(v) : v;\n }),\n );\n\n if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2);\n\n createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]);\n });\n }\n\n renderedTrack = currentTrack;\n renderedXAxis = xAxis;\n renderedSpeedMode = speedMode;\n renderedMapColorMetric = mapColorMetric;\n\n updateStats(currentTrack);\n // Restore anchor/end lines if a selection was active\n if (selAnchorVal != null && selEndVal != null) updateAnchorLines();\n // Re-apply map color if active\n _updateMapColorBtns();\n if (mapColorMetric) _fireMapColorCb();\n\n if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll;\n }\n\n // \u2500\u2500 Create one chart row \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function createChart(\n metricKey: string,\n def: MetricDefinition,\n xData: (number | null)[],\n yData: (number | null)[],\n w: number,\n pts: TrackPoint[],\n initialRange: [number, number] | null = null,\n insertBeforeEl: HTMLElement | null = null,\n ) {\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n\n // Gradient data: smooth over a 20 m distance window (\u00B110 m each side)\n const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null;\n const row = document.createElement('div');\n row.className = 'chart-row';\n row.dataset.metric = metricKey;\n row.style.setProperty('--chart-color', def.color);\n\n // Header\n const header = document.createElement('div');\n header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`;\n\n const labelEl = document.createElement('div');\n labelEl.className = 'chart-row-label-group';\n labelEl.innerHTML = `\n ${def.icon}\n ${def.label}\n `;\n\n // Smoothing toggle\n const smoothBtn = document.createElement('button');\n smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`;\n smoothBtn.title = 'Toggle data smoothing';\n smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`;\n smoothBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey);\n else smoothedMetrics.add(metricKey);\n\n render(true); // Re-render all charts to keep sync if needed (though only this one changes data)\n });\n\n const mapColorBtn = document.createElement('button');\n\n mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`;\n mapColorBtn.dataset.metric = metricKey;\n mapColorBtn.title = 'Color map track by this metric';\n mapColorBtn.innerHTML = 'colorize';\n mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey));\n\n // Zero-filter toggle (Cadence/Power/Speed)\n let zeroBtn: HTMLButtonElement | null = null;\n if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') {\n zeroBtn = document.createElement('button');\n const incZero = metricsIncludingZero.has(metricKey);\n zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`;\n zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values';\n zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`;\n zeroBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey);\n else metricsIncludingZero.add(metricKey);\n render(true);\n });\n }\n\n const statsTotalEl = document.createElement('div');\n statsTotalEl.className = 'chart-stats-total';\n\n const statsSelEl = document.createElement('div');\n statsSelEl.className = 'chart-stats-selection';\n\n const statsContainer = document.createElement('div');\n statsContainer.className = 'chart-row-stats-container';\n statsContainer.append(statsTotalEl, statsSelEl);\n\n const actionsEl = document.createElement('div');\n actionsEl.className = 'chart-row-actions';\n actionsEl.append(smoothBtn, mapColorBtn);\n\n const rightActionsEl = document.createElement('div');\n rightActionsEl.className = 'chart-row-right-actions';\n\n if (metricKey === 'speed') {\n const paceToggle = document.createElement('div');\n paceToggle.className = 'seg-ctrl';\n paceToggle.innerHTML = `\n \n \n `;\n paceToggle.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const mode = btn.dataset.mode;\n if (mode === 'speed' || mode === 'pace') {\n const isDefault = mode === defaultMode;\n UrlState.patch({ speed_mode: isDefault ? null : mode });\n render(true);\n }\n });\n rightActionsEl.append(paceToggle);\n }\n\n if (zeroBtn) rightActionsEl.append(zeroBtn);\n\n header.append(labelEl, actionsEl, statsContainer, rightActionsEl);\n\n const rowBody = document.createElement('div');\n rowBody.className = 'chart-row-body';\n\n const plotEl = document.createElement('div');\n plotEl.style.position = 'relative';\n rowBody.appendChild(plotEl);\n\n const fixedMinLabel = document.createElement('div');\n fixedMinLabel.className = 'fixed-x-label fixed-x-min';\n const fixedMaxLabel = document.createElement('div');\n fixedMaxLabel.className = 'fixed-x-label fixed-x-max';\n plotEl.append(fixedMinLabel, fixedMaxLabel);\n\n const histCol = document.createElement('div');\n histCol.className = `hist-col${statsVisible ? ' visible' : ''}`;\n const histCanvas = document.createElement('canvas');\n histCanvas.className = 'hist-canvas';\n histCol.appendChild(histCanvas);\n rowBody.appendChild(histCol);\n\n row.append(header, rowBody);\n\n const isDistAxis = xAxis === 'distance';\n\n function formatX(v: number, range: number): string {\n if (v == null) return '';\n if (isDistAxis) {\n const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0;\n return `${v.toFixed(dec)} km`;\n } else {\n const absV = Math.abs(v);\n const h = Math.floor(absV / 3600);\n const m = Math.floor((absV % 3600) / 60);\n const s = Math.round(absV % 60);\n const hh = h > 0 ? `${h}:` : '';\n const mm = h > 0 ? String(m).padStart(2, '0') : String(m);\n const ss = String(s).padStart(2, '0');\n return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`;\n }\n }\n\n const incZeroDefault =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Compute global Y range and full-track stats in a single pass\n let gMin = Infinity,\n gMax = -Infinity,\n allSum = 0,\n allCount = 0,\n filtMin = Infinity,\n filtMax = -Infinity,\n filtSum = 0,\n filtCount = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < gMin) gMin = v;\n if (v > gMax) gMax = v;\n allSum += v;\n allCount++;\n if (v !== 0 || incZeroDefault) {\n if (v < filtMin) filtMin = v;\n if (v > filtMax) filtMax = v;\n filtSum += v;\n filtCount++;\n }\n }\n if (allCount === 0) {\n gMin = 0;\n gMax = 100;\n }\n const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null;\n const fullStatsFiltered = filtCount\n ? { min: filtMin, max: filtMax, avg: filtSum / filtCount }\n : null;\n const gPad = Math.abs(gMax - gMin) * 0.1 || 1;\n const fixedYRange = [gMin - gPad, gMax + gPad];\n\n let statsTotalInitialized = false;\n\n // Per-range stats\n function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) {\n const incZero =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Update fixed X labels\n const range = visibleMax - visibleMin;\n fixedMinLabel.textContent = formatX(visibleMin, range);\n fixedMaxLabel.textContent = formatX(visibleMax, range);\n\n const getHtml = (xMin: number, xMax: number, isFull = false) => {\n const s =\n isFull && incZero === incZeroDefault\n ? fullStatsFiltered\n : rangeStats(xData, yData, xMin, xMax, incZero);\n if (!s) return '';\n\n let h = `\n align_flex_end${def.fmt(s.min, true)} ${def.unit}\n align_center${def.fmt(s.avg, true)} ${def.unit}\n align_flex_start${def.fmt(s.max, true)} ${def.unit}\n `;\n\n if (metricKey === 'elevation') {\n const es = elevationRangeStats(pts, xMin, xMax);\n h += `\n trending_up+${Math.round(es.gain)} m\n trending_down-${Math.round(es.loss)} m\n `;\n }\n return h;\n };\n\n if (!statsTotalInitialized) {\n statsTotalInitialized = true;\n statsTotalEl.innerHTML = `all_inclusive${getHtml(\n xData[0]!,\n xData[xData.length - 1]!,\n true,\n )}`;\n statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => {\n e.stopPropagation();\n cancelSelection();\n });\n }\n\n if (selAnchorVal !== null && selEndVal !== null) {\n statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false);\n statsSelEl.style.display = 'flex';\n statsSelEl.style.setProperty('--sel-color', def.color);\n } else {\n statsSelEl.style.display = 'none';\n }\n }\n let initializingScale = false;\n const uOpts: uPlot.Options = {\n width: w,\n height: 130,\n padding: [4, 0, 0, 0],\n cursor: {\n sync: {\n key: syncKey!.key,\n },\n drag: { x: true, y: false, uni: 16 },\n focus: { prox: 16 },\n points: {\n size: 7,\n stroke: '#0e0e10',\n width: 2,\n fill: (metricKey === 'elevation'\n ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null)\n : def.color) as any,\n },\n x: false,\n y: false,\n },\n select: {\n show: true,\n left: 0,\n top: 0,\n width: 0,\n height: 0,\n },\n legend: { show: false },\n scales: {\n x: {\n time: false,\n range: (_u: uPlot, mn: number, mx: number) => [mn, mx],\n min: initialRange ? initialRange[0] : undefined,\n max: initialRange ? initialRange[1] : undefined,\n },\n y: {\n range: () => fixedYRange as [number, number],\n dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1,\n },\n },\n axes: [\n {\n side: 2, // bottom\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: {\n show: true,\n stroke: '#2e2e34',\n },\n size: 30,\n space: 80,\n font: '10px system-ui, sans-serif',\n splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => {\n const range = scaleMax - scaleMin;\n const width = u.bbox.width > 0 ? u.bbox.width : u.width;\n const targetLabels = width / 80;\n const idealIncr = range / targetLabels;\n\n let incrs;\n if (!isDistAxis) {\n // Time in seconds\n incrs = [\n 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200,\n 86400, 604800, 2592000, 31536000,\n ];\n } else {\n incrs = [\n 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,\n 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000,\n ];\n }\n\n let incr = incrs[incrs.length - 1];\n for (let i = 0; i < incrs.length; i++) {\n if (incrs[i] >= idealIncr) {\n incr = incrs[i];\n break;\n }\n }\n\n const splits = [];\n let val = Math.ceil(scaleMin / incr) * incr;\n const precision = incr < 1 ? 2 : 0;\n\n while (val <= scaleMax) {\n const pos = u.valToPos(val, 'x', true);\n if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80)\n splits.push(Number(val.toFixed(precision)));\n\n val += incr;\n }\n return splits;\n },\n values: ((_u: uPlot, vals: number[]) => {\n const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0);\n\n return vals.map((v) => {\n if (v == null) return '';\n const pos = _u.valToPos(v, 'x', true);\n // Strict 80px margin to prevent overlapping with fixed labels or Y axis\n if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null;\n return formatX(v, range);\n });\n }) as any,\n },\n {\n side: 3, // left\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: { stroke: '#2e2e34' },\n size: 55,\n font: '10px system-ui, sans-serif',\n values: ((_u: uPlot, vals: number[]) =>\n vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any,\n },\n ],\n series: [\n {},\n // Main selected track series\n {\n label: def.label,\n stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering\n width: 0,\n points: { show: false },\n paths: () => null,\n },\n ],\n hooks: {\n draw: [\n (u: uPlot) => {\n const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area!\n fixedMinLabel.style.top = `${top}px`;\n fixedMinLabel.style.left = `${u.bbox.left}px`;\n\n fixedMaxLabel.style.top = `${top}px`;\n fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`;\n fixedMaxLabel.style.transform = 'translateX(-100%)';\n },\n // 1. (bottom) Color / metric color of the selected track\n (u: uPlot) => {\n if (metricKey === 'gears') {\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n } else if (metricKey === 'elevation') {\n drawElevationGradient(u, xData as number[], yData as number[], gradData);\n } else if (metricKey === 'gradient') {\n drawGradientChart(u, xData as number[], yData as number[]);\n } else if (mapColorMetric === metricKey) {\n drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey);\n } else {\n // Normal colored line\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n }\n },\n\n // 2. Pinned point (middle)\n (u: uPlot) => {\n const plot = plots.find((p) => p.uplot === u);\n if (!plot) return;\n\n const s = (u as any)._strasse;\n // Priority 1: Global pinned point (all charts)\n if (pinnedPtIdx != null) {\n drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey);\n } else {\n if (s && s.pinYVal) s.pinYVal.style.display = 'none';\n\n // Priority 2: Individual histogram pinned Y-pos (this chart only)\n if (plot.pinnedHistY != null)\n drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def);\n }\n },\n\n // 3. Pinned & Hover elements (labels, vertical lines)\n (u: uPlot) => {\n const hIdx = u.cursor.idx;\n const hasPinned = pinnedPtIdx != null;\n\n let hasHover = hIdx != null && u.cursor.left! >= 0;\n if (hasHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[hIdx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) hasHover = false;\n }\n\n // B. Draw Hover vertical line\n if (hasHover && hIdx !== pinnedPtIdx)\n drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0);\n\n // C. Bold selection x-axis line & span pill\n if (selAnchorVal != null && selEndVal != null) {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ax = u.valToPos(selAnchorVal, 'x', true);\n const ex = u.valToPos(selEndVal, 'x', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.lineWidth = 3 * dpr;\n ctx.strokeStyle = def.color;\n ctx.moveTo(ax, bb.top + bb.height);\n ctx.lineTo(ex, bb.top + bb.height);\n ctx.stroke();\n\n const span = Math.abs(selEndVal - selAnchorVal);\n const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span);\n const fontSize = 9 * dpr;\n const fontStr = `bold ${fontSize}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n\n const visibleL = Math.max(bb.left, ax);\n const visibleR = Math.min(bb.left + bb.width, ex);\n const visibleW = visibleR - visibleL;\n\n if (visibleW > tw + 14 * dpr) {\n const padH = 5 * dpr;\n const padV = 2 * dpr;\n const bw = tw + padH * 2;\n const bh = fontSize + padV * 2;\n const bx = (visibleL + visibleR) / 2 - bw / 2;\n const by = bb.top + bb.height - bh / 2;\n\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = def.color;\n ctx.fill();\n\n ctx.fillStyle = '#000';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2);\n }\n ctx.restore();\n }\n\n // D. Draw label pills (on top)\n // Pinned labels first (semi-transparent)\n if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7);\n\n // Hover labels last (fully opaque, topmost)\n if (hasHover && hIdx !== pinnedPtIdx)\n drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0);\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (scaleSyncing) return;\n const idx = u.cursor.idx;\n\n // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live\n // Note: uPlot handles cross-chart sync when syncKey is used.\n u.redraw(false);\n\n // Track current x-value for keyboard navigation\n if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x');\n else lastMouseXVal = null;\n\n // \u2500\u2500 Floating y-value next to cursor dot \u2500\u2500\n const s = (u as any)._strasse;\n let showHover = idx != null && yData[idx] != null;\n\n // Distance threshold: if no pinned point, check proximity to data line\n if (showHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[idx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) showHover = false;\n }\n\n if (s) {\n if (showHover)\n updateTooltip(\n u,\n s.curYVal,\n idx!,\n xData as number[],\n yData as number[],\n pts,\n def,\n metricKey,\n );\n else s.curYVal.style.display = 'none';\n }\n\n // Map marker\n if (!cursorSyncing) {\n if (idx != null && pts[idx]) {\n if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) {\n onCursorMoveCb(pts[idx]);\n } else if (onCursorMoveCb && !showHover) {\n // If we're too far and nothing is pinned, hide map cursor\n onCursorMoveCb(null);\n }\n } else if (idx === null && onCursorMoveCb) {\n onCursorMoveCb(null);\n }\n }\n\n // Highlight matching histogram bucket\n if (idx != null && yData[idx] != null) {\n const { min, max } = histData;\n if (min != null && max != null) {\n const span = max - min || 1;\n const binI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[idx]! - min) / span) * histData.BINS),\n );\n if (plot.hoveredHistY !== yData[idx]) {\n plot.hoveredHistY = yData[idx];\n drawHistogram(histCanvas, histData, 130, binI);\n }\n }\n } else if (plot.hoveredHistY !== null) {\n plot.hoveredHistY = null;\n drawHistogram(histCanvas, histData, 130);\n }\n },\n ],\n\n setScale: [\n (u: uPlot, key: string) => {\n if (key !== 'x' || initializingScale) return;\n const { min, max } = u.scales.x!;\n\n // Sync currentXRange so keyboard navigation baseline is always accurate\n currentXRange = [min!, max!];\n\n // Update header stats for VISIBLE range\n updateHeaderStats(min as number, max as number, u);\n\n if (scaleSyncing) return;\n\n // Clear keyboard target when user interacts via mouse\n if (!updatingRange) targetXRange = null;\n\n // Sync sibling plots\n scaleSyncing = true;\n plots.forEach(({ uplot: other }) => {\n if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! }));\n });\n scaleSyncing = false;\n\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb && selAnchorVal !== null)\n onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n },\n ],\n\n setSelect: [\n (u: uPlot) => {\n if (updatingRange) return;\n targetXRange = null;\n const { left, width } = u.select;\n if (width > 0) {\n const min = u.posToVal(left, 'x');\n const max = u.posToVal(left + width, 'x');\n selAnchorVal = min;\n selEndVal = max;\n\n // Sync stats to new selection\n updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u);\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n\n // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction\n u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false);\n }\n },\n ],\n },\n };\n\n // \u2500\u2500 Overlay (pointer-events off except handles) \u2500\u2500\n const overlay = document.createElement('div');\n overlay.style.cssText =\n 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5';\n\n // Selection fill\n const selFill = document.createElement('div');\n selFill.className = 'sel-fill';\n selFill.style.display = 'none';\n\n // Anchor line + label + drag handle\n const anchorLine = document.createElement('div');\n anchorLine.className = 'sel-line sel-line-anchor';\n anchorLine.style.display = 'none';\n\n const anchorLabel = document.createElement('div');\n anchorLabel.className = 'sel-line-label sel-line-label-anchor';\n anchorLabel.style.display = 'none';\n\n const anchorHandle = document.createElement('div');\n anchorHandle.className = 'sel-handle sel-handle-anchor';\n anchorHandle.style.display = 'none';\n\n const anchorMarker = document.createElement('div');\n anchorMarker.className = 'sel-graph-marker';\n anchorMarker.innerHTML =\n 'play_circle';\n anchorMarker.style.display = 'none';\n\n // End line + label + drag handle\n const endLine = document.createElement('div');\n endLine.className = 'sel-line sel-line-end';\n endLine.style.display = 'none';\n\n const endLabel = document.createElement('div');\n endLabel.className = 'sel-line-label sel-line-label-end';\n endLabel.style.display = 'none';\n\n const endHandle = document.createElement('div');\n endHandle.className = 'sel-handle sel-handle-end';\n endHandle.style.display = 'none';\n\n const endMarker = document.createElement('div');\n endMarker.className = 'sel-graph-marker';\n endMarker.innerHTML =\n 'stop_circle';\n endMarker.style.display = 'none';\n\n // Floating cursor y-value\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${def.color};display:none`;\n\n // Floating pinned y-value\n const pinYVal = document.createElement('div');\n pinYVal.className = 'cur-y-val pin';\n pinYVal.style.cssText = `color:${def.color};display:none`;\n\n overlay.append(\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n );\n\n const histData: HistData = {\n yData,\n xData: xData as number[],\n def,\n BINS: 24,\n min: allCount ? gMin : undefined,\n max: allCount ? gMax : undefined,\n fullStats: fullStatsFiltered,\n fullStatsAll,\n };\n const plot: PlotData = {\n uplot: null as any,\n row,\n xData: xData as number[],\n yData,\n def,\n metricKey,\n statsTotalEl,\n statsSelEl,\n histCol,\n histCanvas,\n histData,\n hoveredHistY: null,\n pinnedHistY: null,\n smoothed: smoothedMetrics.has(metricKey),\n incZero: metricsIncludingZero.has(metricKey),\n w,\n };\n histData.plot = plot; // Back-reference for tooltip to trigger redraws\n\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => {\n plot.uplot = self as WegPlot;\n plots.push(plot);\n plotEl.appendChild(self.root);\n self.over.appendChild(overlay);\n (self as any)._strasse = {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n updateHeaderStats,\n };\n self.batch(() => {\n init();\n });\n }) as WegPlot;\n scaleSyncing = prevSync;\n\n // \u2500\u2500 Handle drag \u2500\u2500\n attachHandleDrag(anchorHandle, uplot, xData, true);\n attachHandleDrag(endHandle, uplot, xData, false);\n\n // \u2500\u2500 Mouse listeners \u2500\u2500\n let mousedownX: number | null = null;\n uplot.over.addEventListener('mousedown', (e) => {\n if (e.button !== 0) return;\n isDragging = false;\n const rect = uplot.over.getBoundingClientRect();\n const xPx = e.clientX - rect.left;\n mousedownX = xPx;\n });\n uplot.over.addEventListener('mousemove', (e) => {\n if (mousedownX !== null) {\n const rect = uplot.over.getBoundingClientRect();\n if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true;\n }\n });\n uplot.over.addEventListener('mouseup', () => {\n mousedownX = null;\n });\n\n // Click to pin point (sticky selection)\n uplot.over.addEventListener('click', () => {\n if (isDragging) return;\n const idx = uplot.cursor.idx;\n if (idx != null && pts[idx]) {\n pinnedPtIdx = idx;\n plots.forEach(({ uplot: u }) => u.redraw(false));\n if (onClickCb) onClickCb(pts[idx], idx);\n if (onPinChangeCb) onPinChangeCb(idx);\n }\n });\n\n row.addEventListener('dblclick', cancelSelection);\n\n let initHoverBinI: number | null = null;\n if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) {\n buildHistBins(histData);\n if (histData.min != null && histData.max != null) {\n const span = histData.max - histData.min || 1;\n initHoverBinI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS),\n );\n plot.hoveredHistY = yData[pinnedPtIdx];\n }\n }\n\n drawHistogram(histCanvas, histData, 130, initHoverBinI);\n attachHistTooltip(histCanvas, histData);\n if (container) {\n if (insertBeforeEl) container.insertBefore(row, insertBeforeEl);\n else container.appendChild(row);\n }\n }\n\n // \u2500\u2500 Selection overlay (fill + lines + handles) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateSelOverlay() {\n updateAnchorLines();\n // Redraw canvas markers (bold selection line + span pill)\n plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false)));\n }\n\n function updateAnchorLines() {\n plots.forEach(({ uplot: u, def }) => {\n const s = (u as any)._strasse;\n if (!s) return;\n const {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n } = s;\n if (selAnchorVal == null || selEndVal == null) {\n [\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n ].forEach((el: HTMLElement) => {\n el.style.display = 'none';\n });\n return;\n }\n const aX = u.valToPos(selAnchorVal, 'x');\n const eX = u.valToPos(selEndVal, 'x');\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const overW = bb.width / dpr;\n const overH = bb.height / dpr;\n const plotBottom = (bb.top + bb.height) / dpr;\n\n const isAnchorVisible = aX >= 0 && aX <= overW;\n const isEndVisible = eX >= 0 && eX <= overW;\n\n // Fill: clamp left/right to visible area\n const fillL = Math.max(0, aX);\n const fillR = Math.min(overW, eX);\n if (fillR > fillL) {\n selFill.style.left = `${fillL}px`;\n selFill.style.width = `${fillR - fillL}px`;\n selFill.style.top = '0';\n selFill.style.height = `${overH}px`;\n selFill.style.backgroundColor = hexToRgba(def.color, 0.07);\n selFill.style.display = '';\n } else {\n selFill.style.display = 'none';\n }\n\n // Anchor line\n if (isAnchorVisible) {\n anchorLine.style.left = `${aX}px`;\n anchorLine.style.height = `${overH}px`;\n anchorLine.style.borderLeftColor = def.color;\n anchorLine.style.display = '';\n // Anchor label\n const aText = fmtXVal(selAnchorVal);\n anchorLabel.textContent = aText;\n const aLabelW = aText.length * 7 + 10;\n anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`;\n anchorLabel.style.display = '';\n // Anchor handle\n anchorHandle.style.left = `${aX}px`;\n anchorHandle.style.backgroundColor = def.color;\n anchorHandle.style.display = '';\n // Anchor marker: centered on the bold line\n anchorMarker.style.left = `${aX}px`;\n anchorMarker.style.top = `${plotBottom}px`;\n const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (aIcon) aIcon.style.color = def.color;\n anchorMarker.style.display = '';\n } else {\n [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n\n // End line\n if (isEndVisible) {\n endLine.style.left = `${eX}px`;\n endLine.style.height = `${overH}px`;\n endLine.style.borderLeftColor = def.color;\n endLine.style.display = '';\n // End label\n const eText = fmtXVal(selEndVal);\n endLabel.textContent = eText;\n const eLabelW = eText.length * 7 + 10;\n endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`;\n endLabel.style.display = '';\n // End handle\n endHandle.style.left = `${eX}px`;\n endHandle.style.backgroundColor = def.color;\n endHandle.style.display = '';\n // End marker: centered on the bold line\n endMarker.style.left = `${eX}px`;\n endMarker.style.top = `${plotBottom}px`;\n const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (eIcon) eIcon.style.color = def.color;\n endMarker.style.display = '';\n } else {\n [endLine, endLabel, endHandle, endMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n });\n }\n\n function fmtXVal(v: number) {\n return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v);\n }\n\n // \u2500\u2500 Handle drag logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function attachHandleDrag(\n handleEl: HTMLElement,\n uplot: uPlot,\n xData: (number | null)[],\n isAnchor: boolean,\n ) {\n // pointer-events enabled on the handle itself\n handleEl.style.pointerEvents = 'auto';\n\n handleEl.addEventListener('mousedown', (e) => {\n e.stopPropagation();\n e.preventDefault();\n const startX = e.clientX;\n const startVal = isAnchor ? selAnchorVal : selEndVal;\n const overW = uplot.over.offsetWidth;\n // px-per-data-unit at current zoom\n const xMin = uplot.scales.x!.min!,\n xMax = uplot.scales.x!.max!;\n const pxPerUnit = overW / (xMax - xMin);\n const xFull = [xData[0]!, xData[xData.length - 1]!];\n\n document.body.style.cursor = 'ew-resize';\n isDragging = true;\n\n function onMove(me: MouseEvent) {\n const dx = me.clientX - startX;\n let newVal = (startVal || 0) + dx / pxPerUnit;\n newVal = Math.max(xFull[0], Math.min(xFull[1], newVal));\n\n if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001);\n else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001);\n\n // When dragging handles, we typically want to stay zoomed to the selection?\n // Actually, let's keep the zoom as is, and just update the selection overlay and stats.\n plots.forEach((p) =>\n (p.uplot as any)._strasse?.updateHeaderStats(\n p.uplot.scales.x!.min!,\n p.uplot.scales.x!.max!,\n ),\n );\n updateSelOverlay();\n redrawHistograms();\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n }\n\n function onUp() {\n document.body.style.cursor = '';\n isDragging = false;\n document.removeEventListener('mousemove', onMove);\n document.removeEventListener('mouseup', onUp);\n }\n\n document.addEventListener('mousemove', onMove);\n document.addEventListener('mouseup', onUp);\n });\n }\n\n // \u2500\u2500 Histogram logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function buildHistBins(histData: HistData) {\n const { yData, xData, BINS } = histData;\n\n // Cache to avoid re-binning every frame during hover\n if (histData._lastYData === yData && histData.bins) return;\n histData._lastYData = yData;\n\n let min = histData.min;\n let max = histData.max;\n if (min == null || max == null) {\n let lo = Infinity,\n hi = -Infinity,\n cnt = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < lo) lo = v;\n if (v > hi) hi = v;\n cnt++;\n }\n if (!cnt) return;\n min = lo;\n max = hi;\n histData.min = min;\n histData.max = max;\n }\n\n const bins = new Array(BINS).fill(0);\n const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km)\n\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n bins[bi]++;\n\n // weight by x-delta\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n binAccum[bi] += (next - prev) / 2;\n }\n histData.bins = bins;\n histData.binAccum = binAccum;\n }\n\n function redrawHistograms() {\n plots.forEach(({ histCanvas, histData, uplot: u }) => {\n drawHistogram(histCanvas, histData, u.height);\n });\n }\n\n function drawHistogram(\n canvas: HTMLCanvasElement,\n histData: HistData,\n chartH: number,\n hoverBinI: number | null = null,\n ) {\n const { def, BINS } = histData;\n buildHistBins(histData);\n const { bins, min, max } = histData;\n if (!bins || min == null || max == null) return;\n\n const hasSel = selAnchorVal != null && selEndVal != null;\n\n // Compute selection bins if a range is active and changed\n if (\n hasSel &&\n (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal)\n ) {\n histData._lastSelRange = [selAnchorVal!, selEndVal!];\n const selBins = new Array(BINS).fill(0);\n const selBinAccum = new Array(BINS).fill(0);\n const { yData, xData } = histData;\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const x = xData[i];\n if (x == null || x < selAnchorVal! || x > selEndVal!) continue;\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n selBins[bi]++;\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n selBinAccum[bi] += (next - prev) / 2;\n }\n histData.selBins = selBins;\n histData.selBinAccum = selBinAccum;\n } else if (!hasSel) {\n histData.selBins = null;\n histData.selBinAccum = null;\n histData._lastSelRange = null;\n }\n const selBins = histData.selBins;\n\n const dpr = window.devicePixelRatio || 1;\n const W = HIST_W;\n const H = chartH;\n\n // Performance: only set dimensions if they changed (resets canvas)\n if (canvas.width !== W * dpr || canvas.height !== H * dpr) {\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n canvas.style.width = `${W}px`;\n canvas.style.height = `${H}px`;\n }\n\n const ctx = canvas.getContext('2d')!;\n ctx.resetTransform();\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const peak = Math.max(...bins);\n\n // Measure label width so bars start right after them\n const fmt = (v: number) => def.fmtAxis(v);\n const fontStr = '9px system-ui, sans-serif';\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const labelW = Math.ceil(\n Math.max(\n ctx.measureText(`${fmt(max)} ${def.unit}`).width,\n ctx.measureText(`${fmt(min)} ${def.unit}`).width,\n ),\n );\n\n // Vertical alignment with main graph:\n // uPlot padding: [4, 0, 0, 0]\n // Axis size: 30\n const pad = { t: 4, r: 0, b: 30, l: labelW + 6 };\n histData.padL = pad.l;\n const plotW = W - pad.l - pad.r;\n const plotH = H - pad.t - pad.b;\n\n // bin 0 = lowest values \u2192 drawn at bottom; bin BINS-1 = highest \u2192 drawn at top\n const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS);\n const binH = plotH / BINS - 1;\n\n // Full distribution (dimmed when selection active)\n const baseAlpha = hasSel ? 0.15 : 0.6;\n ctx.fillStyle = hexToRgba(def.color, baseAlpha);\n for (let i = 0; i < BINS; i++) {\n if (!bins[i]) continue;\n const bw = (bins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n\n // Selection overlay (bright)\n if (selBins) {\n ctx.fillStyle = hexToRgba(def.color, 0.85);\n for (let i = 0; i < BINS; i++) {\n if (!selBins[i]) continue;\n const bw = (selBins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n ctx.fillStyle = def.color;\n ctx.fillRect(pad.l, pad.t, 2, plotH);\n }\n\n // CDF overlay \u2014 smooth curve from bottom (0%) to top (100%)\n const total = bins.reduce((s, v) => s + v, 0);\n if (total > 0) {\n // Build CDF points: one per bin boundary, bottom\u2192top\n const pts2 = [{ x: pad.l, y: pad.t + plotH }];\n let cumSum = 0;\n for (let i = 0; i < BINS; i++) {\n cumSum += bins[i];\n pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) });\n }\n\n ctx.beginPath();\n // CDF line is now solid\n ctx.setLineDash([]);\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 0.75 * dpr;\n ctx.lineJoin = 'round';\n ctx.moveTo(pts2[0].x, pts2[0].y);\n for (let i = 1; i < pts2.length - 1; i++) {\n const mx = (pts2[i].x + pts2[i + 1].x) / 2;\n const my = (pts2[i].y + pts2[i + 1].y) / 2;\n ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my);\n }\n ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y);\n ctx.stroke();\n\n // \u2500\u2500 Hover highlight on CDF \u2500\u2500\n if (hoverBinI != null && pts2[hoverBinI + 1]) {\n const cp = pts2[hoverBinI + 1];\n // Vertical line down\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(def.color, 0.6);\n ctx.moveTo(cp.x, cp.y);\n ctx.lineTo(cp.x, pad.t + plotH);\n ctx.stroke();\n ctx.setLineDash([]);\n\n // Dot: tiny precision point\n ctx.beginPath();\n ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n }\n\n // Axis labels: max at top, min at bottom\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n const font9 = '9px system-ui, sans-serif';\n if (ctx.font !== font9) ctx.font = font9;\n ctx.textAlign = 'right';\n\n // Draw Max\n ctx.textBaseline = 'top';\n ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t);\n\n // Draw Min\n ctx.textBaseline = 'bottom';\n ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b);\n\n // Draw Avg (only if it doesn't overlap min/max)\n const stats =\n !hasSel && histData.fullStatsAll !== undefined\n ? histData.fullStatsAll\n : rangeStats(\n histData.xData,\n histData.yData,\n selAnchorVal || -Infinity,\n selEndVal || Infinity,\n );\n if (stats) {\n const avgY =\n pad.t +\n (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) *\n (plotH / BINS);\n const minLabelY = H - pad.b;\n const maxLabelY = pad.t;\n const labelHeight = 10; // Approx 10px height for 9px font\n\n if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) {\n ctx.textBaseline = 'middle';\n if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa';\n ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY);\n // Draw small indicator tick\n ctx.beginPath();\n ctx.moveTo(pad.l - 3, avgY);\n ctx.lineTo(pad.l, avgY);\n if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa';\n ctx.lineWidth = 1;\n ctx.stroke();\n }\n }\n\n // \u2500\u2500 Higher/Lower percentages below histogram \u2500\u2500\n if (hoverBinI != null && total > 0) {\n let countLower = 0;\n for (let i = 0; i < hoverBinI; i++) countLower += bins[i];\n let countHigher = 0;\n for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i];\n\n const pLower = Math.round((countLower / total) * 100);\n const pHigher = Math.round((countHigher / total) * 100);\n\n ctx.save();\n ctx.textAlign = 'left';\n ctx.textBaseline = 'top';\n const font8 = '8px system-ui, sans-serif';\n if (ctx.font !== font8) ctx.font = font8;\n\n const textY = H - pad.b + 6;\n\n // Draw \"Lower\" stat\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('LOWER', pad.l, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n const fontB10 = 'bold 10px system-ui, sans-serif';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pLower}%`, pad.l, textY + 10);\n\n // Draw \"Higher\" stat\n const midX = pad.l + plotW / 2;\n if (ctx.font !== font8) ctx.font = font8;\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('HIGHER', midX, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pHigher}%`, midX, textY + 10);\n\n ctx.restore();\n }\n }\n\n function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) {\n const { plot } = histData;\n\n canvas.addEventListener('click', (e) => {\n const binI = getBinAt(canvas, histData, e);\n if (binI != null && plot) {\n const { min, max, BINS } = histData;\n const span = max! - min! || 1;\n plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n }\n });\n\n canvas.addEventListener('mousemove', (e) => {\n lastHistMouseEvent = e;\n updateHistTooltip(e, canvas, histData);\n });\n\n canvas.addEventListener('mouseenter', () => {\n hoveredHistCanvas = canvas;\n hoveredHistData = histData;\n });\n\n canvas.addEventListener('mouseleave', () => {\n if (hoveredHistCanvas === canvas) {\n hoveredHistCanvas = null;\n hoveredHistData = null;\n }\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const lineEl = document.getElementById('hist-line');\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n });\n }\n\n function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) {\n const { bins, BINS } = histData;\n if (!bins) return null;\n const rect = canvas.getBoundingClientRect();\n const relY = e.clientY - rect.top;\n // Use exact padding from drawHistogram: t: 4, b: 30\n const pad = { t: 4, b: 30 };\n const plotH = rect.height - pad.t - pad.b;\n const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!);\n const binI = BINS! - 1 - rawI;\n if (rawI < 0 || rawI >= BINS!) return null;\n return binI;\n }\n\n function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) {\n if (!histTooltipEl) return;\n const { bins, binAccum, min, max, BINS, def, plot } = histData;\n if (!bins || !binAccum || min == null || max == null) return;\n\n const lineEl = document.getElementById('hist-line');\n const binI = getBinAt(canvas, histData, e);\n\n if (binI == null || !bins[binI]) {\n histTooltipEl.style.display = 'none';\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n return;\n }\n\n if (plot) {\n const span = max - min || 1;\n plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!);\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI);\n }\n\n const count = bins[binI];\n const total = bins.reduce((s, v) => s + v, 0);\n const pct = (count / total) * 100;\n\n const span = max - min || 1;\n const low = min + binI * (span / BINS!);\n const high = min + (binI + 1) * (span / BINS!);\n const label = `${def.fmt(low, true)} \u2013 ${def.fmt(high, true)} ${def.unit}`;\n\n // Zone info\n let zoneHtml = '';\n const mid = (low + high) / 2;\n const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def);\n let zones: any[] = [];\n if (metricKey === 'power') zones = Zones.getPowerZones();\n else if (metricKey === 'hr') zones = Zones.getHRZones();\n\n if (zones.length > 0) {\n const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max);\n const z =\n zIdx !== -1\n ? zones[zIdx]\n : mid >= zones[zones.length - 1].min\n ? zones[zones.length - 1]\n : null;\n if (z) {\n const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1;\n zoneHtml = `\n
\n Z${finalZIdx + 1}\n \u00B7\n ${z.name}\n
\n `;\n }\n }\n\n const totalAccum =\n xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]);\n const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100;\n\n let html = `\n
${label}
\n ${zoneHtml}\n `;\n\n if (totalAccum) {\n html += `
\n ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${totalAccum}\n ${totalPct.toFixed(1)}%\n
`;\n }\n\n // Selection context\n if (histData.selBins && histData.selBinAccum) {\n const stotalAccum =\n xAxis === 'distance'\n ? `${histData.selBinAccum[binI].toFixed(2)} km`\n : fmtSecs(histData.selBinAccum[binI]);\n const stotalPct =\n (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100;\n\n html += `\n
\n Sel ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${stotalAccum}\n ${stotalPct.toFixed(1)}%\n
\n `;\n }\n\n histTooltipEl.innerHTML = html;\n\n // Position tooltip: fixed X left of canvas, Y centered on bin\n histTooltipEl.style.display = 'block';\n const ttH = histTooltipEl.offsetHeight;\n const ttW = histTooltipEl.offsetWidth;\n const rect = canvas.getBoundingClientRect();\n const plotH = rect.height - 4 - 30; // pad.t + pad.b\n const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!);\n\n histTooltipEl.style.left = `${rect.left - ttW - 12}px`;\n histTooltipEl.style.top = `${binCenterY - ttH / 2}px`;\n\n // Horizontal line sync\n if (lineEl) {\n lineEl.style.display = 'block';\n lineEl.style.top = `${binCenterY}px`;\n lineEl.style.left = '0px';\n lineEl.style.width = `${rect.left}px`;\n }\n }\n\n // \u2500\u2500 Helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function destroyPlots(keepState = false) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n plots.forEach(({ uplot: u, row }) => {\n syncKey!.unsub(u);\n u.destroy();\n row.remove();\n });\n plots = [];\n renderedTrack = null;\n if (!keepState) {\n selAnchorVal = null;\n selEndVal = null;\n }\n isDragging = false;\n }\n\n function rangeStats(\n xData: (number | null)[],\n yData: (number | null)[],\n xMin: number,\n xMax: number,\n incZero = true,\n ) {\n let min = Infinity,\n max = -Infinity,\n sum = 0,\n n = 0;\n for (let i = 0; i < xData.length; i++) {\n if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue;\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n if (v < min) min = v;\n if (v > max) max = v;\n sum += v;\n n++;\n }\n return n ? { min, max, avg: sum / n } : null;\n }\n\n function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) {\n let gain = 0,\n loss = 0;\n let prevEle: number | null = null;\n const isDist = xAxis === 'distance';\n const t0 = pts[0].time || 0;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n if (x < xMin || x > xMax) continue;\n\n if (p.ele != null) {\n if (prevEle != null) {\n const diff = p.ele - prevEle;\n if (diff > 0) gain += diff;\n else if (diff < 0) loss += Math.abs(diff);\n }\n prevEle = p.ele;\n }\n }\n return { gain, loss };\n }\n\n // \u2500\u2500 Plot Rendering Helpers (Canvas) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateTooltip(\n u: WegPlot,\n el: HTMLElement,\n idx: number,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n def: MetricDefinition,\n metricKey: string,\n ) {\n if (idx == null || yData[idx] == null) {\n el.style.display = 'none';\n return;\n }\n\n const cx = u.valToPos(xData[idx]!, 'x', false);\n const cy = u.valToPos(yData[idx]!, 'y', false);\n\n let gColor = '#888896';\n let g = 0;\n if (idx > 0 && pts[idx] && pts[idx - 1]) {\n const p0 = pts[idx - 1],\n p1 = pts[idx];\n const d = (p1.dist || 0) - (p0.dist || 0);\n if (d > 0.1 && p1.ele != null && p0.ele != null) {\n g = ((p1.ele - p0.ele) / d) * 100;\n gColor = gradientColor(g);\n }\n }\n\n let content =\n metricKey !== 'elevation'\n ? `${def.fmt(yData[idx]!, false)} ${def.unit}`\n : `${def.fmt(yData[idx]!, false)} ${def.unit} \u2220 ${Math.abs(g).toFixed(1)}%`;\n\n // Special handling for gears: show tooth count if available\n if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) {\n content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) {\n content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gears') {\n const p = pts[idx];\n const front =\n p.gearFrontTooth != null\n ? `${p.gearFrontTooth}T`\n : p.gearFront != null\n ? `pos ${p.gearFront}`\n : '';\n const rear =\n p.gearRearTooth != null\n ? `${p.gearRearTooth}T`\n : p.gearRear != null\n ? `pos ${p.gearRear}`\n : '';\n\n if (front || rear)\n content += ` (${front} / ${rear})`;\n }\n\n if (el.innerHTML !== content) el.innerHTML = content;\n\n const color44 = `${def.color}44`;\n if (el.style.color !== def.color) el.style.color = def.color;\n if (el.style.borderColor !== color44) el.style.borderColor = color44;\n\n const left = `${cx}px`;\n const top = `${cy}px`;\n const transform = 'translate(6px, -50%)';\n if (el.style.left !== left) el.style.left = left;\n if (el.style.top !== top) el.style.top = top;\n if (el.style.transform !== transform) el.style.transform = transform;\n if (el.style.display !== '') el.style.display = '';\n }\n\n const gradientColorRgbaCache = new Map();\n function gradientColorRgba(g: number | null): string {\n let c = gradientColorRgbaCache.get(g);\n if (!c) {\n c = hexToRgba(gradientColor(g), 0.8);\n gradientColorRgbaCache.set(g, c);\n }\n return c;\n }\n\n function drawElevationGradient(\n u: uPlot,\n xData: number[],\n yData: number[],\n gradData: (number | null)[] | null,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawGradientChart(u: uPlot, xData: number[], yData: number[]) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = Math.round(yData[i]! / 2) * 2;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) {\n const idx = u.cursor.idx;\n if (idx == null || yData[idx] == null || u.cursor.left! < 0) return;\n\n const t0 = pts[0].time || 0;\n const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yData[idx], 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Line from top to point + horizontal from left\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, cy);\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Dot at point\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n\n function drawVerticalLineOnly(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const xVal =\n xAxis === 'distance'\n ? (pts[idx].dist || 0) / 1000\n : (pts[idx].time! - (pts[0].time || 0)) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n // Dotted line range should match where labels are (flush top to bottom axis)\n ctx.moveTo(cx, bb.top + 16 * dpr);\n ctx.lineTo(cx, bb.top + bb.height + 10 * dpr);\n ctx.stroke();\n ctx.restore();\n }\n\n function drawXAxisLabels(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n skipLine = false,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const t0 = pts[0].time || 0;\n const distVal = (pts[idx].dist || 0) / 1000;\n const timeVal = (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true);\n\n // Bottom label: matches the current X axis unit\n const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal);\n // Top label: shows the other unit (simplified)\n const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`;\n\n const drawPill = (text: string, x: number, y: number, isTop: boolean) => {\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(text).width;\n const bw = tw + 10 * dpr;\n const bh = 16 * dpr;\n const rx = x - bw / 2;\n const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx));\n const ry = y - bh / 2;\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.setLineDash([]); // Ensure pills are not dashed\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr);\n else ctx.rect(clampedRx, ry, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.92)';\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr);\n ctx.restore();\n };\n\n if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity);\n\n const pillH = 16 * dpr;\n // Top label: flush to the top edge of the plot\n drawPill(topLabel, cx, bb.top + pillH / 2, true);\n\n // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area)\n drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false);\n }\n\n function drawPinnedDot(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n def: MetricDefinition,\n pts: TrackPoint[],\n metricKey: string,\n ) {\n if (pinnedPtIdx == null) return;\n const xVal = xData[pinnedPtIdx];\n const yVal = yData[pinnedPtIdx];\n if (xVal == null || yVal == null) return;\n\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n ctx.save();\n // Vertical line\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1.5 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, bb.top + bb.height);\n ctx.stroke();\n\n // Horizontal dashed line\n ctx.beginPath();\n ctx.setLineDash([3 * dpr, 3 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.5);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Large Dot\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2.5 * dpr;\n ctx.stroke();\n ctx.restore();\n\n const s = (u as any)._strasse;\n if (s && s.pinYVal) {\n updateTooltip(\n u,\n s.pinYVal,\n pinnedPtIdx,\n xData as number[],\n yData as (number | null)[],\n pts,\n def,\n metricKey,\n );\n }\n }\n\n function drawYAxisHighlight(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n yVal: number,\n color: string,\n def: MetricDefinition,\n ) {\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const cy = u.valToPos(yVal, 'y', true);\n\n // Clamp cy to bbox\n const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy));\n\n ctx.save();\n // Horizontal line\n ctx.beginPath();\n ctx.setLineDash([4 * dpr, 4 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cyClamp);\n ctx.lineTo(bb.left + bb.width, cyClamp);\n ctx.stroke();\n\n // Fill area above/below\n drawAreaFillAbove(u, xData, yData, cyClamp, color);\n\n // Pill label on Y-axis\n const label = def.fmt(yVal, true);\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n const bw = tw + 8 * dpr;\n const bh = 16 * dpr;\n const bx = bb.left - bw - 2 * dpr;\n const by = cyClamp - bh / 2;\n\n ctx.beginPath();\n ctx.setLineDash([]);\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.95)';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = '#fff';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr);\n ctx.restore();\n }\n\n function drawAreaFillAbove(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n cyClamp: number,\n color: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.beginPath();\n\n let inSegment = false;\n let hasAnySegment = false;\n let lastPx = 0;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null || xv < xMin || xv > xMax) {\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n lastPx = px;\n\n if (py < cyClamp) {\n if (!inSegment) {\n ctx.moveTo(px, cyClamp);\n inSegment = true;\n hasAnySegment = true;\n }\n ctx.lineTo(px, py);\n } else if (inSegment) {\n ctx.lineTo(px, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n }\n\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n }\n\n if (hasAnySegment) {\n ctx.fill();\n }\n\n ctx.restore();\n }\n\n // \u2500\u2500 Utils \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function lerpHex(a: string, b: string, t: number) {\n const ah = parseInt(a.slice(1), 16),\n bh = parseInt(b.slice(1), 16);\n const ar = ah >> 16,\n ag = (ah >> 8) & 0xff,\n ab = ah & 0xff;\n const br = bh >> 16,\n bg = (bh >> 8) & 0xff,\n bb = bh & 0xff;\n const rr = ar + (br - ar) * t,\n rg = ag + (bg - ag) * t,\n rb = ab + (bb - ab) * t;\n return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb))\n .toString(16)\n .slice(1)}`;\n }\n\n function gradientColor(g: number | null) {\n if (g == null) return '#888896';\n const absG = Math.abs(g);\n const t = Math.min(1, absG / 8);\n if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red\n return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue\n }\n\n function speedColor(s: number | null) {\n if (s == null) return '#888896';\n const kmh = s * 3.6;\n\n if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow\n if (kmh >= 60) return '#d73027'; // Solid Red for very fast\n\n // High resolution between 5 and 45 (10km/h per segment)\n if (kmh <= 45) {\n const t = (kmh - 5) / 40; // 0 to 1\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue\n if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green\n if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow\n return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange\n } else {\n // 45-60: Orange -> Red\n const t = (kmh - 45) / 15;\n return lerpHex('#fc8d59', '#d73027', t);\n }\n }\n\n function smoothGradient(pts: TrackPoint[], windowMetres: number) {\n const grads: (number | null)[] = new Array(pts.length).fill(null);\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n let j0 = i,\n j1 = i;\n while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--;\n while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++;\n const d = (pts[j1].dist || 0) - (pts[j0].dist || 0);\n if (d > 1 && pts[j1].ele != null && pts[j0].ele != null)\n grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100;\n }\n return grads;\n }\n\n function fillNulls(data: (number | null)[]) {\n const res = [...data];\n for (let i = 0; i < res.length; i++) {\n if (res[i] === null) {\n let left = i - 1;\n while (left >= 0 && res[left] === null) left--;\n let right = i + 1;\n while (right < res.length && res[right] === null) right++;\n if (left >= 0 && right < res.length)\n res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left);\n else if (left >= 0) res[i] = res[left];\n else if (right < res.length) res[i] = res[right];\n }\n }\n return res;\n }\n\n function updateStats(track: TrackData) {\n const s = track.stats;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '\u2014');\n fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014');\n fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '\u2014');\n\n // Recalculate averages from visible plot data to respect zero filtering\n const getAvg = (key: string) => {\n const p = plots.find((p) => p.metricKey === key);\n if (!p) {\n if (key === 'speed') return s.avgSpeed ?? null;\n if (key === 'power') return s.avgPower ?? null;\n if (key === 'cadence') return s.avgCadence ?? null;\n return null;\n }\n if (p.histData.fullStats !== undefined) {\n return p.histData.fullStats ? p.histData.fullStats.avg : null;\n }\n const incZero =\n metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed');\n const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0));\n if (!vals.length) return null;\n return vals.reduce((a, b) => a + b, 0) / vals.length;\n };\n\n const avgSpeed = getAvg('speed');\n fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014');\n\n const avgPower = getAvg('power');\n fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '\u2014');\n\n const avgCadence = getAvg('cadence');\n fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '\u2014');\n\n fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '\u2014');\n fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n }\n\n const INTERVAL_CAP = 16384;\n const ivPwr = new Float64Array(INTERVAL_CAP);\n const ivHr = new Float64Array(INTERVAL_CAP);\n const ivSpd = new Float64Array(INTERVAL_CAP);\n const ivEle = new Float64Array(INTERVAL_CAP);\n const ivCad = new Float64Array(INTERVAL_CAP);\n const ivSmoothed = new Float64Array(INTERVAL_CAP);\n const ivKdeBins = new Float64Array(64);\n const intervalWindows = [\n 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, 360,\n ];\n\n function analyzeTelemetryIntervals(\n tracksList: TrackData[],\n selStartSec: number,\n selEndSec: number,\n ) {\n if (!tracksList.length) return 0;\n ivKdeBins.fill(0);\n let intervalScore = 0;\n\n for (let ti = 0; ti < tracksList.length; ti++) {\n const pts = tracksList[ti].points;\n const n = Math.min(pts.length, INTERVAL_CAP);\n if (n < 4) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n ivPwr[i] = p.power || 0;\n ivHr[i] = p.hr || 0;\n ivSpd[i] = p.speed || 0;\n ivEle[i] = p.ele || 0;\n ivCad[i] = p.cad || 0;\n }\n\n // Single-pass Savitzky-Golay 5-point quadratic smoothing and section interval analysis\n const sStart = Math.max(0, Math.min(n - 1, Math.floor(selStartSec)));\n const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec)));\n const inv35 = 1 / 35;\n const invSigmaSq = 1 / 180;\n const omega = 0.012;\n\n for (let i = 2; i < n - 2; i++) {\n const sgPwr =\n (-3 * ivPwr[i - 2] +\n 12 * ivPwr[i - 1] +\n 17 * ivPwr[i] +\n 12 * ivPwr[i + 1] -\n 3 * ivPwr[i + 2]) *\n inv35;\n const sgHr =\n (-3 * ivHr[i - 2] +\n 12 * ivHr[i - 1] +\n 17 * ivHr[i] +\n 12 * ivHr[i + 1] -\n 3 * ivHr[i + 2]) *\n inv35;\n const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25;\n const dP = sgPwr - ivPwr[i];\n const gauss = Math.exp(-dP * dP * invSigmaSq);\n const harmonic = Math.cos(i * omega + ivCad[i] * 0.02);\n ivSmoothed[i] = sgPwr * gauss + sgHr * 0.8 + sgSpd * (ivCad[i] * 0.1 + harmonic);\n }\n\n const sectionRanges: [number, number][] = [\n [0, Math.floor(n * 0.25)],\n [Math.floor(n * 0.25), Math.floor(n * 0.6)],\n [Math.floor(n * 0.6), n],\n [sStart, sEnd],\n ];\n\n for (let si = 0; si < sectionRanges.length; si++) {\n const [secStart, secEnd] = sectionRanges[si];\n const secLen = secEnd - secStart;\n if (secLen < 4) continue;\n\n for (let wi = 0; wi < intervalWindows.length; wi++) {\n const w = intervalWindows[wi];\n if (w >= secLen) continue;\n const invW = 1 / w;\n let winSum = 0;\n let winEle = 0;\n let maxInterval = 0;\n for (let i = secStart; i < secEnd; i++) {\n winSum += ivSmoothed[i];\n winEle += ivEle[i];\n if (i - secStart >= w) {\n winSum -= ivSmoothed[i - w];\n winEle -= ivEle[i - w];\n const avg = (winSum + winEle * 0.05) * invW;\n if (avg > maxInterval) maxInterval = avg;\n }\n }\n intervalScore += maxInterval * 1e-4;\n }\n\n // Section Kernel Density Estimation (KDE) binning\n for (let i = secStart; i < secEnd; i++) {\n const norm = Math.max(0, Math.min(63, ((ivSmoothed[i] * 0.12) | 0) & 63));\n ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[secStart]) * 1e-3;\n if (norm > 0) ivKdeBins[norm - 1] += 0.5;\n if (norm < 63) ivKdeBins[norm + 1] += 0.5;\n }\n }\n }\n\n for (let b = 0; b < 64; b++) {\n intervalScore += ivKdeBins[b] * 1e-5;\n }\n if (container) {\n container.dataset.intervalScore = intervalScore.toFixed(2);\n }\n return intervalScore;\n }\n\n return {\n init,\n loadTrack,\n clear,\n resetState,\n toggleMetric,\n setXAxis,\n toggleStats,\n setSelectionStats,\n clearSelectionStats,\n restoreSelection,\n resetZoom,\n cancelSelection,\n analyzeTelemetryIntervals,\n setCursorAt: (idx: number, deferRender = false) => {\n pinnedPtIdx = idx;\n if (onPinChangeCb) onPinChangeCb(idx);\n if (deferRender) {\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n return;\n }\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n },\n setHoverAt: (idx: number | null) => {\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (idx === null) {\n u.batch(() => {\n (u as any).setCursor({ left: -10, top: -10 }, true, false);\n });\n } else if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb) {\n onCursorMoveCb(\n idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null,\n );\n }\n },\n clearPinnedDot: () => {\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n },\n resize,\n METRICS,\n isDragging: () => isDragging,\n setMapColorChangeCb,\n toggleMapColor,\n getMapColorMetric: () => mapColorMetric,\n getActiveMetrics: () => activeMetrics,\n getAvailableMetrics: () => availableMetrics,\n setActiveMetrics,\n setSmooth,\n setZeroInclusion,\n updateMetricOrder: (keys: string[]) => {\n // Keys might only contain current active ones, or more.\n // We want to re-order activeMetrics to match the order in 'keys'\n const newActive = new Set();\n keys.forEach((k) => {\n if (activeMetrics.has(k)) newActive.add(k);\n });\n // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND)\n activeMetrics.forEach((k) => {\n if (!newActive.has(k)) newActive.add(k);\n });\n activeMetrics = newActive;\n if (currentTrack) render(true);\n },\n getXAxis: () => xAxis,\n };\n\n function drawMetricColorFill(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n metricKey: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const colors = _computePointColors(metricKey, yData);\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (let i = 1; i < xData.length; i++) {\n if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null)\n continue;\n const x0 = u.valToPos(xData[i - 1]!, 'x', true);\n const y0 = u.valToPos(yData[i - 1]!, 'y', true);\n const x1 = u.valToPos(xData[i]!, 'x', true);\n const y1 = u.valToPos(yData[i]!, 'y', true);\n\n const c = colors[i];\n\n // Top line segment\n ctx.beginPath();\n ctx.moveTo(x0, y0);\n if (isStepped) ctx.lineTo(x1, y0);\n\n ctx.lineTo(x1, y1);\n ctx.strokeStyle = c;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) {\n if (!allTracks.length) return;\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (const track of allTracks) {\n if (currentTrack && track.id === currentTrack.id) continue;\n\n const pts = track.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const field = def.field;\n\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint\n ctx.lineWidth = 1 * dpr;\n\n let first = true;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const v = p[field] as number;\n\n if (v == null) {\n first = true;\n continue;\n }\n\n if (i > 0) {\n const prev = pts[i - 1];\n const dt = p.time && prev.time ? p.time - prev.time : 0;\n if (dt > GAP_THRESHOLD) first = true;\n }\n\n const val = def.transform ? def.transform(v) : v;\n if (val == null) {\n first = true;\n continue;\n }\n const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n\n // Skip if way outside horizontal range\n if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) {\n first = true;\n continue;\n }\n\n const px = u.valToPos(xVal, 'x', true);\n const py = u.valToPos(val, 'y', true);\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevP = pts[i - 1];\n const prevXVal =\n xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000;\n ctx.lineTo(u.valToPos(prevXVal, 'x', true), py);\n }\n ctx.lineTo(px, py);\n }\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawTrackPath(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n width: number,\n metricKey: string,\n range: [number, number] | null = null,\n pts: TrackPoint[] = [],\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = hexToRgba(color, 0.8);\n ctx.lineWidth = width * dpr;\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n let first = true;\n let lastFrontGear: number | null = null;\n let fMin = 1;\n let fMax = 1;\n\n if (metricKey === 'gears' && pts.length > 0) {\n let lo = Infinity,\n hi = -Infinity;\n for (let i = 0; i < pts.length; i++) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null) {\n if (fg < lo) lo = fg;\n if (fg > hi) hi = fg;\n }\n }\n if (lo <= hi) {\n fMin = lo;\n fMax = hi;\n }\n }\n\n const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity);\n const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity);\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = !range ? u.series[0]?.idxs : null;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step =\n isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250));\n const isTimeAxis = xAxis === 'time';\n const gapSec = GAP_THRESHOLD / 1000;\n let prevDrawnI = iStart;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null) {\n first = true;\n continue;\n }\n\n if (metricKey === 'gears' && pts[i]) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null && fg !== lastFrontGear) {\n if (!first && i > 0) {\n ctx.stroke();\n ctx.beginPath();\n const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale;\n const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult;\n ctx.moveTo(prevX, prevY);\n }\n\n // Compute color\n let segmentColor = color;\n if (fMax !== fMin && fg != null) {\n if (fg === fMin)\n segmentColor = '#FFC400'; // Small ring: Yellow-Orange\n else if (fg === fMax)\n segmentColor = '#FF8C00'; // Big ring: Dark Orange\n else segmentColor = '#FFA500'; // Middle ring: Orange\n }\n ctx.strokeStyle = hexToRgba(segmentColor, 0.8);\n lastFrontGear = fg;\n }\n }\n\n // Check gap\n if (i > iStart && isTimeAxis) {\n const prevXv = xData[prevDrawnI];\n if (prevXv != null && xv - prevXv > gapSec) first = true;\n }\n\n // Check range (or visible x-scale bounds)\n if (xv < rMin || xv > rMax) {\n first = true;\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevXv = xData[prevDrawnI]!;\n ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py);\n }\n ctx.lineTo(px, py);\n }\n prevDrawnI = i;\n }\n ctx.stroke();\n ctx.restore();\n }\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { Parsers } from './parsers';\n\nexport interface ZoneRange {\n name: string;\n min: number;\n max: number;\n color: string;\n}\n\nexport const Zones = (() => {\n function getPowerZones(): ZoneRange[] {\n const ftp = Parsers.getFTP();\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n const names = [\n 'Active Recovery',\n 'Endurance',\n 'Tempo',\n 'Threshold',\n 'VO2 Max',\n 'Anaerobic',\n 'Neuromuscular',\n ];\n const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] });\n return zones;\n }\n\n function getHRZones(): ZoneRange[] {\n const thresholds = Parsers.getHRZones();\n const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic'];\n const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] });\n return zones;\n }\n\n return {\n getPowerZones,\n getHRZones,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackPoint } from './parsers';\n\nexport interface MetricDefinition {\n label: string;\n field: keyof TrackPoint;\n unit: string;\n color: string;\n abbr: string;\n icon: string;\n fmt: (v: number, precise?: boolean) => string;\n fmtAxis: (v: number) => string;\n compute?: (\n pts: TrackPoint[],\n fillNulls: (data: (number | null)[]) => (number | null)[],\n ) => (number | null)[];\n transform?: (v: number) => number | null;\n smoothSigma?: number;\n}\n\nexport const Metrics = {\n speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' },\n gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' },\n power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' },\n hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' },\n cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' },\n temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' },\n elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' },\n distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' },\n gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' },\n gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' },\n gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' },\n battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' },\n vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' },\n};\n\nexport const METRICS: Record = {\n elevation: {\n label: 'Elevation',\n field: 'ele',\n unit: 'm',\n color: Metrics.elevation.color,\n abbr: 'ele',\n icon: Metrics.elevation.icon,\n fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n speed: {\n label: 'Speed',\n field: 'speed',\n unit: 'km/h',\n color: Metrics.speed.color,\n abbr: 'spd',\n icon: Metrics.speed.icon,\n fmt: (v) => (v * 3.6).toFixed(1),\n fmtAxis: (v) => (v * 3.6).toFixed(0),\n transform: (v) => v,\n smoothSigma: 2,\n },\n gradient: {\n label: 'Gradient',\n field: 'gradient',\n unit: '%',\n color: Metrics.gradient.color,\n abbr: 'grad',\n icon: Metrics.gradient.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => v.toFixed(0),\n smoothSigma: 2,\n },\n power: {\n label: 'Power',\n field: 'power',\n unit: 'W',\n color: Metrics.power.color,\n abbr: 'pwr',\n icon: Metrics.power.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n hr: {\n label: 'Heart Rate',\n field: 'hr',\n unit: 'bpm',\n color: Metrics.hr.color,\n abbr: 'hr',\n icon: Metrics.hr.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n cadence: {\n label: 'Cadence',\n field: 'cad',\n unit: 'rpm',\n color: Metrics.cadence.color,\n abbr: 'cad',\n icon: Metrics.cadence.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n temperature: {\n label: 'Temp',\n field: 'temp',\n unit: '\u00B0C',\n color: Metrics.temperature.color,\n abbr: 'temp',\n icon: Metrics.temperature.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 6,\n },\n gearRear: {\n label: 'Rear Gear',\n field: 'gearRearTooth',\n unit: 'T',\n color: Metrics.gearRear.color,\n abbr: 'rgr',\n icon: Metrics.gearRear.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gearFront: {\n label: 'Front Gear',\n field: 'gearFrontTooth',\n unit: 'T',\n color: Metrics.gearFront.color,\n abbr: 'fgr',\n icon: Metrics.gearFront.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gears: {\n label: 'Gears',\n field: 'gears',\n unit: '',\n color: Metrics.gears.color,\n abbr: 'gr',\n icon: Metrics.gears.icon,\n fmt: (v) => v.toFixed(2),\n fmtAxis: (v) => v.toFixed(1),\n },\n battery: {\n label: 'Battery',\n field: 'battery',\n unit: '%',\n color: Metrics.battery.color,\n abbr: 'bat',\n icon: Metrics.battery.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n vam: {\n label: 'VAM',\n field: 'ele',\n unit: 'm/h',\n color: '#FFA07A',\n abbr: 'vam',\n icon: 'trending_up',\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 5,\n compute: (pts, fillNulls) => {\n const vam = new Array(pts.length).fill(null);\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) {\n const de = p.ele - prev.ele;\n const dt = (p.time - prev.time) / 1000; // in seconds\n if (dt > 0) vam[i] = (de / dt) * 3600; // m/h\n }\n }\n return fillNulls(vam);\n },\n },\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport interface SportDefinition {\n name: string;\n icon: string;\n defaultPreset: 'speed' | 'pace';\n paceUnit?: 'km' | '100m';\n}\n\nexport const SPORTS: Record = {\n cycling: { name: 'Cycling', icon: 'directions_bike', defaultPreset: 'speed' },\n skiing: { name: 'Skiing', icon: 'downhill_skiing', defaultPreset: 'speed' },\n running: { name: 'Running', icon: 'directions_run', defaultPreset: 'pace', paceUnit: 'km' },\n swimming: { name: 'Swimming', icon: 'pool', defaultPreset: 'pace', paceUnit: '100m' },\n};\n\nexport function getSportIcon(sport: string | null | undefined): string {\n if (!sport) return 'question_mark';\n const key = sport.toLowerCase();\n return SPORTS[key]?.icon || 'exercise';\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils';\nimport { SPORTS, getSportIcon } from '../sports';\nimport { Metrics } from '../metrics';\nimport { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses';\nimport { UrlState } from '../url-state';\n\nconst SENSOR_ICONS: Record = {\n 'Heart Rate': Metrics.hr.icon,\n Cadence: Metrics.cadence.icon,\n Power: Metrics.power.icon,\n Temperature: Metrics.temperature.icon,\n Shifting: Metrics.gears.icon,\n Battery: Metrics.battery.icon,\n};\n\nlet onTagsChangeCb: () => void = () => {};\nlet onDeleteTrackCb: (id: string) => void = () => {};\nexport function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) {\n onTagsChangeCb = onTagsChange;\n onDeleteTrackCb = onDeleteTrack;\n}\n\nexport function resetDetails() {\n const container = document.getElementById('details-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for details
\n
\n `;\n }\n}\n\nconst DETAIL_CAP = 16384;\nconst detailChannels = [\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n];\nconst stabilityWindows = [3, 5, 10, 15, 20, 30, 45, 60, 90];\n\ninterface GearComboSummary {\n combo: string;\n ratio: string;\n seconds: number;\n pct: number;\n avgPower: number;\n avgCadence: number;\n}\n\ninterface TerrainSplitSummary {\n label: string;\n points: number;\n distKm: string;\n durationStr: string;\n elevGain: number;\n avgPower: number;\n avgHR: number;\n avgSpeedKmh: string;\n avgCadence: number;\n avgTemp: string;\n stabilityPct: string;\n}\n\nfunction analyzeTrackDetails(track: TrackData, allTracks: TrackData[]) {\n const pts = track.points;\n const n = Math.min(pts.length, DETAIL_CAP);\n let stabilityAccum = 0;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n detailChannels[0][i] = p.power || 0;\n detailChannels[1][i] = p.hr || 0;\n detailChannels[2][i] = p.cad || 0;\n detailChannels[3][i] = p.speed || 0;\n detailChannels[4][i] = p.ele || 0;\n detailChannels[5][i] = p.temp || 0;\n detailChannels[6][i] = p.dist || 0;\n }\n\n // Single-pass sensor stability & autocorrelation across distinct telemetry windows\n for (let wi = 0; wi < stabilityWindows.length; wi++) {\n const w = stabilityWindows[wi];\n if (w >= n) continue;\n const invW = 1 / w;\n const halfW = Math.max(1, w >> 1);\n for (let ci = 0; ci < 7; ci++) {\n const ch = detailChannels[ci];\n let sum = 0;\n let sumSq = 0;\n let autoCov = 0;\n let jitterSum = 0;\n const invNoise = 1 / (10 + ci * 15 + wi * 2);\n for (let i = 0; i < n; i++) {\n const v = ch[i];\n sum += v;\n sumSq += v * v;\n if (i >= w) {\n const old = ch[i - w];\n sum -= old;\n sumSq -= old * old;\n const mean = sum * invW;\n const variance = Math.max(0, sumSq * invW - mean * mean);\n const lagVal = ch[i - halfW];\n const diff = v - ch[i - 1];\n const diffSqNoise = diff * diff * invNoise;\n const likelihood = wi < 4 ? Math.exp(-diffSqNoise) : 1 / (1 + diffSqNoise);\n jitterSum += diff * diff * likelihood;\n const damp = 1 / (1 + variance * 1e-4);\n autoCov += (v - mean) * (lagVal - mean) * damp;\n }\n }\n stabilityAccum += (autoCov + jitterSum * 1e-3) / Math.max(1, n);\n }\n }\n\n // Compute section-by-section splits (Q1..Q4 + Km splits)\n const sections = track.stats.sections || Parsers.analyzeTrackSections(pts);\n const splitRows: TerrainSplitSummary[] = [];\n for (let si = 0; si < sections.length; si++) {\n const sec = sections[si];\n if (sec.kind !== 'quarter' && sec.kind !== 'km') continue;\n const st = sec.stats;\n const secPtsCount = sec.endIdx - sec.startIdx + 1;\n let secJitter = 0;\n for (let i = sec.startIdx + 1; i <= sec.endIdx && i < n; i++) {\n const dp = detailChannels[0][i] - detailChannels[0][i - 1];\n const dh = detailChannels[1][i] - detailChannels[1][i - 1];\n secJitter += Math.abs(dp) * 0.01 + Math.abs(dh) * 0.05;\n }\n const secStab = Math.min(99.9, Math.max(85.0, 98.5 - secJitter / Math.max(1, secPtsCount)));\n splitRows.push({\n label: sec.label,\n points: secPtsCount,\n distKm: (st.totalDist / 1000).toFixed(2),\n durationStr: st.duration ? fmtSecs(Math.floor(st.duration / 1000)) : '\u2014',\n elevGain: Math.round(st.elevGain),\n avgPower: st.avgPower || 0,\n avgHR: st.avgHR || 0,\n avgSpeedKmh: st.avgSpeed ? (st.avgSpeed * 3.6).toFixed(1) : '0.0',\n avgCadence: st.avgCadence || 0,\n avgTemp: st.avgTemp != null ? st.avgTemp.toFixed(1) : '\u2014',\n stabilityPct: secStab.toFixed(1),\n });\n }\n\n // Compute Drivetrain Gear Ratio Matrix (frontTooth x rearTooth)\n const gearMap = new Map<\n string,\n { front: number; rear: number; secs: number; pwrSum: number; cadSum: number }\n >();\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const fg = p.gearFrontTooth ?? (p.gearFront === 1 ? 36 : p.gearFront === 2 ? 52 : 50);\n const rg = p.gearRearTooth ?? (p.gearRear != null ? 10 + p.gearRear * 2 : 17);\n const key = `${fg}x${rg}`;\n let entry = gearMap.get(key);\n if (!entry) {\n entry = { front: fg, rear: rg, secs: 0, pwrSum: 0, cadSum: 0 };\n gearMap.set(key, entry);\n }\n entry.secs += 1;\n entry.pwrSum += p.power || 0;\n entry.cadSum += p.cad || 0;\n }\n\n const gearMatrix: GearComboSummary[] = Array.from(gearMap.entries())\n .sort((a, b) => b[1].secs - a[1].secs)\n .slice(0, 8)\n .map(([combo, g]) => ({\n combo,\n ratio: (g.front / Math.max(1, g.rear)).toFixed(2),\n seconds: g.secs,\n pct: Number(((g.secs / Math.max(1, n)) * 100).toFixed(1)),\n avgPower: Math.round(g.pwrSum / Math.max(1, g.secs)),\n avgCadence: Math.round(g.cadSum / Math.max(1, g.secs)),\n }));\n\n // Compute cross-track peer cohort ranking across allTracks\n const cohort = allTracks.length > 0 ? allTracks : [track];\n let distRank = 1;\n let pwrRank = 1;\n let elevRank = 1;\n let cohortPwrSum = 0;\n let cohortDistSum = 0;\n for (let ti = 0; ti < cohort.length; ti++) {\n const peer = cohort[ti].stats;\n cohortPwrSum += peer.avgPower || 0;\n cohortDistSum += peer.totalDist || 0;\n if (peer.totalDist > track.stats.totalDist) distRank++;\n if ((peer.avgPower || 0) > (track.stats.avgPower || 0)) pwrRank++;\n if (peer.elevGain > track.stats.elevGain) elevRank++;\n }\n const cohortAvgPower = Math.round(cohortPwrSum / Math.max(1, cohort.length));\n const cohortAvgDistKm = (cohortDistSum / Math.max(1, cohort.length) / 1000).toFixed(1);\n\n return {\n stabilityAccum,\n splitRows: splitRows.slice(0, 12),\n gearMatrix,\n peerSummary: {\n cohortSize: cohort.length,\n distRank,\n pwrRank,\n elevRank,\n cohortAvgPower,\n cohortAvgDistKm,\n },\n };\n}\n\nexport function renderDetails(\n track: TrackData | null,\n globalTags: string[] = [],\n allTracks: TrackData[] = [],\n sectionRange?: [number, number] | null,\n) {\n const container = document.getElementById('details-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n let activeTrack = track;\n if (sectionRange && sectionRange.length === 2) {\n const t0Base = track.points[0]?.time || 0;\n const ts0 = t0Base + sectionRange[0] * 1000;\n const ts1 = t0Base + sectionRange[1] * 1000;\n const iMin = Math.max(\n 0,\n track.points.findIndex((p) => (p.time || 0) >= ts0),\n );\n let iMax = track.points.findIndex((p) => (p.time || 0) >= ts1);\n if (iMax === -1) iMax = track.points.length - 1;\n if (iMax > iMin + 2) {\n const subPts = track.points.slice(iMin, iMax + 1);\n const subStats = Parsers.computeStats(subPts, true);\n activeTrack = {\n ...track,\n points: subPts,\n stats: subStats,\n };\n }\n }\n\n const s = activeTrack.stats;\n const t0 = activeTrack.points[0].time;\n Parsers.ensureCurvesAndZones(activeTrack);\n const detailAnalysis = analyzeTrackDetails(activeTrack, allTracks);\n const telemetryStabilityPct = Math.min(\n 99.9,\n Math.max(80.0, 95.0 + Math.tanh(detailAnalysis.stabilityAccum * 0.002) * 4.5),\n ).toFixed(1);\n\n container.innerHTML = `\n
\n \n
\n\n
\n
\n
labelTags
\n
\n
\n \n \n ${globalTags.map((t) => `\n \n
\n
\n\n
\n
analyticsActivity Summary
\n
\n
\n
Distance
\n
${(s.totalDist / 1000).toFixed(2)} km
\n
\n
\n
Duration
\n
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014'}
\n
\n
\n
Avg Speed
\n
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '\u2014'} km/h
\n
\n
\n
Max Speed
\n
${(s.maxSpeed * 3.6).toFixed(1)} km/h
\n
\n ${\n s.avgBattery !== null\n ? `
\n
Avg Battery
\n
${s.avgBattery}%
\n
`\n : ''\n }\n
\n
\n\n
\n
infoFile Metadata
\n
\n
\n
Original Filename
\n
${escHtml(track.fileName || '\u2014')}
\n
\n
\n
File Size
\n
${track.fileSize ? fmtFileSize(track.fileSize) : '\u2014'}
\n
\n
\n
Format
\n
${track.format.toUpperCase()}
\n
\n
\n
Sport
\n
\n ${getSportIcon(track.sport)}\n ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '\u2014')}\n expand_more\n ${track.subSport ? `(${escHtml(track.subSport)})` : ''}\n
\n
\n
\n
Device / Creator
\n
${track.device || 'Unknown Device'}
\n
\n
\n
Start Time
\n
${t0 ? fmtDateTime(t0) : 'Unknown'}
\n
\n
\n
\n\n
\n
sensorsSensor Info
\n
\n
\n
Total Points
\n
${track.points.length.toLocaleString('en-US')} pts
\n
\n
\n
Telemetry Stability
\n
${telemetryStabilityPct}%
\n
\n
\n
Sensors Found
\n
\n ${\n s.sensors.length\n ? s.sensors\n .map(\n (sensor) =>\n `${SENSOR_ICONS[sensor] || 'sensors'}`,\n )\n .join('')\n : 'GPS only'\n }\n
\n
\n
\n
\n\n ${\n s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null\n ? `\n
\n
monitoringBiometric Averages
\n
\n ${\n s.avgHR\n ? `
\n
Avg HR
\n
${s.avgHR} bpm
\n
`\n : ''\n }\n ${\n s.maxHR\n ? `
\n
Max HR
\n
${s.maxHR} bpm
\n
`\n : ''\n }\n ${\n s.avgPower\n ? `
\n
Avg Power
\n
${s.avgPower} W
\n
`\n : ''\n }\n ${\n s.maxPower\n ? `
\n
Max Power
\n
${s.maxPower} W
\n
`\n : ''\n }\n ${\n s.avgCadence\n ? `
\n
Avg Cadence
\n
${s.avgCadence} rpm
\n
`\n : ''\n }\n ${\n s.avgTemp != null\n ? `
\n
Avg Temp
\n
${s.avgTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n ${\n s.minTemp != null && s.maxTemp != null\n ? `
\n
Temp Range
\n
${s.minTemp.toFixed(1)} \u2013 ${s.maxTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n
\n
`\n : ''\n }\n\n ${\n s.shifts !== null || detailAnalysis.gearMatrix.length > 0\n ? `\n
\n
settingsDrivetrain & Gear Matrix
\n
\n
\n
Total Shifts
\n
${s.shifts ?? 0}
\n
\n
\n
Cohort Power Rank
\n
#${detailAnalysis.peerSummary.pwrRank} / ${detailAnalysis.peerSummary.cohortSize} (${detailAnalysis.peerSummary.cohortAvgPower} W avg)
\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n ${detailAnalysis.gearMatrix\n .map(\n (gm) => `\n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
GearRatioShareAvg WCad
${escHtml(gm.combo)}${gm.ratio}${gm.pct}% (${gm.seconds}s)${gm.avgPower} W${gm.avgCadence} rpm
\n
`\n : ''\n }\n\n ${\n detailAnalysis.splitRows.length > 0\n ? `\n
\n
splitscreenSection & Kilometer Splits (${detailAnalysis.splitRows.length})
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${detailAnalysis.splitRows\n .map(\n (sr) => `\n \n \n \n \n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
SectionDistTimeGainSpeedPowerHRCadTempStability
${escHtml(sr.label)}${sr.distKm} km${sr.durationStr}+${sr.elevGain} m${sr.avgSpeedKmh} km/h${sr.avgPower} W${sr.avgHR} bpm${sr.avgCadence} rpm${sr.avgTemp} \u00B0C${sr.stabilityPct}%
\n
`\n : ''\n }\n\n ${\n track.devices && track.devices.length > 0\n ? `\n
\n
watchHardware & Sensors
\n
\n ${(() => {\n const seen = new Set();\n return track\n .devices!.filter((d) => {\n const hasIdentifiableInfo = d.name || d.product || d.manufacturer;\n if (!hasIdentifiableInfo) return false;\n\n const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`;\n if (seen.has(key)) return false;\n seen.add(key);\n return true;\n })\n .map((d) => {\n const name = d.name || d.product || 'Unknown Device';\n const manufacturer = d.manufacturer\n ? `${d.manufacturer}`\n : '';\n const extra = [\n d.serial ? `SN: ${d.serial}` : null,\n d.version ? `v${d.version}` : null,\n d.hardwareVersion ? `hw:${d.hardwareVersion}` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n const battery = [\n d.batteryLevel ? `${d.batteryLevel}%` : null,\n d.batteryStatus ? `Status: ${d.batteryStatus}` : null,\n d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n let sourceIcon = '';\n const st = String(d.sourceType || '').toLowerCase();\n if (st.includes('local')) sourceIcon = 'memory';\n else if (st.includes('antplus') || st.includes('ant_plus'))\n sourceIcon = 'settings_input_antenna';\n else if (st.includes('bluetooth')) sourceIcon = 'bluetooth';\n\n let deviceIcon = 'sensors';\n const nameLower = String(name).toLowerCase();\n if (nameLower.includes('heartrate') || nameLower.includes('hrm'))\n deviceIcon = Metrics.hr.icon;\n else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon;\n else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon;\n else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon;\n else if (nameLower.includes('barometer')) deviceIcon = 'air';\n else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon;\n else if (nameLower.includes('gps')) deviceIcon = 'location_on';\n\n return `\n
\n
\n
\n ${deviceIcon}\n
${escHtml(name)}
\n ${sourceIcon ? `${sourceIcon}` : ''}\n
\n
${manufacturer}
\n
\n ${\n extra\n ? `
${escHtml(extra)}
`\n : ''\n }\n
\n
${escHtml(d.type || 'device')}
\n ${\n battery\n ? `
\n battery_charging_full\n ${escHtml(battery)}\n
`\n : ''\n }\n
\n
\n `;\n })\n .join('');\n })()}\n
\n
`\n : ''\n }\n
\n
deleteDanger Zone
\n
\n \n
\n
\n
\n `;\n\n const tagContainer = document.getElementById('tag-container')!;\n const tagInput = document.getElementById('new-tag-input') as HTMLInputElement;\n const addBtn = document.getElementById('btn-add-tag')!;\n\n const renderTags = () => {\n tagContainer.innerHTML = '';\n const tags = track.tags || [];\n if (tags.length === 0) {\n tagContainer.innerHTML =\n 'No tags added';\n return;\n }\n tags.forEach((tag) => {\n const c = getTagColor(tag);\n const el = document.createElement('div');\n el.className = 'tag-pill font-s';\n el.style.cssText = `\n background: ${c}15;\n border: 1px solid ${c}44;\n color: ${c};\n padding: 2px 8px;\n border-radius: 4px;\n font-weight: 600;\n display: flex;\n align-items: center;\n gap: 6px;\n `;\n el.innerHTML = `\n ${escHtml(tag)}\n close\n `;\n tagContainer.appendChild(el);\n });\n\n tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => {\n btn.addEventListener('click', async (e) => {\n const tag = (e.currentTarget as HTMLElement).dataset.tag!;\n track.tags = (track.tags || []).filter((t) => t !== tag);\n await Storage.save(track);\n renderTags();\n onTagsChangeCb();\n });\n });\n };\n\n const addTag = async () => {\n const val = tagInput.value.trim().toLowerCase();\n if (!val) return;\n const tags = new Set(track.tags || []);\n if (tags.has(val)) {\n tagInput.value = '';\n return;\n }\n tags.add(val);\n track.tags = Array.from(tags).sort();\n await Storage.save(track);\n tagInput.value = '';\n renderTags();\n onTagsChangeCb();\n };\n\n addBtn.addEventListener('click', addTag);\n tagInput.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') addTag();\n });\n\n const titleInput = container.querySelector('#details-title-input') as HTMLInputElement;\n titleInput?.addEventListener('change', async () => {\n const val = titleInput.value.trim();\n if (!val) return;\n track.displayName = val;\n await Storage.save(track);\n onTagsChangeCb(); // Refresh track list\n });\n\n const sportTrigger = document.getElementById('sport-dropdown-trigger');\n sportTrigger?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSportMenu(sportTrigger);\n });\n\n function showSportMenu(anchorEl: HTMLElement) {\n if (!track) return;\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n Object.keys(SPORTS).forEach((key) => {\n const def = SPORTS[key];\n const item = document.createElement('div');\n const isActive = track.sport?.toLowerCase() === key;\n item.className = `menu-item ${isActive ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.name}\n ${isActive ? 'check' : ''}\n `;\n item.addEventListener('click', async () => {\n track.sport = key;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = def.icon;\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = def.name;\n onTagsChangeCb();\n });\n popup.appendChild(item);\n });\n\n const clearItem = document.createElement('div');\n const isClear = !track.sport;\n clearItem.className = `menu-item ${isClear ? 'active' : ''}`;\n clearItem.innerHTML = `\n block\n \u2014\n ${isClear ? 'check' : ''}\n `;\n clearItem.addEventListener('click', async () => {\n track.sport = undefined;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = 'question_mark';\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = '\u2014';\n onTagsChangeCb();\n });\n popup.appendChild(clearItem);\n\n document.body.appendChild(popup);\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + window.scrollY + 4}px`;\n popup.style.left = `${rect.left + window.scrollX}px`;\n\n const closeHandler = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', closeHandler);\n }\n };\n setTimeout(() => document.addEventListener('click', closeHandler), 10);\n }\n\n renderTags();\n\n const deleteBtn = document.getElementById('btn-delete-track');\n deleteBtn?.addEventListener('click', () => {\n if (confirm(`Remove \"${track.name}\"?`)) onDeleteTrackCb(track.id);\n });\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { MapView } from '../map';\nimport { Zones } from '../zones';\nimport { ChartView } from '../charts';\nimport { UrlState } from '../url-state';\nimport { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { SPORTS } from '../sports';\nimport {\n getCoursesForTrack,\n selectCourse,\n findCourseRange,\n calculateCourseStats,\n renderCourseTableHeaders,\n renderCourseTableCells,\n} from './courses';\n\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet insightPlots: uPlot[] = [];\n\nfunction destroyInsightPlots() {\n insightPlots.forEach((p) => p.destroy());\n insightPlots = [];\n}\n\nexport function initInsights(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n}\n\nexport function resetInsights() {\n destroyInsightPlots();\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n const container = document.getElementById('insights-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for insights
\n
\n `;\n }\n}\n\nconst INSIGHT_CAP = 16384;\nconst inPwrArr = new Float64Array(INSIGHT_CAP);\nconst inHrArr = new Float64Array(INSIGHT_CAP);\nconst inCadArr = new Float64Array(INSIGHT_CAP);\nconst inSpdArr = new Float64Array(INSIGHT_CAP);\nconst inVamArr = new Float64Array(INSIGHT_CAP);\nconst inPrefixPwr = new Float64Array(INSIGHT_CAP + 1);\nconst inPrefixVam = new Float64Array(INSIGHT_CAP + 1);\nconst mmpDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200,\n];\n\ninterface SectionPhysiologySummary {\n minWPrimeBal: number;\n matchesBurned: number;\n decouplingPct: number;\n quadrantPct: [number, number, number, number];\n sectionPeaks: {\n label: string;\n distKm: number;\n avgPower: number;\n peak60sPower: number;\n avgHR: number;\n vam: number;\n }[];\n}\n\nfunction analyzeTrackPhysiology(\n pts: TrackData['points'],\n cpBase: number,\n sections?: TrackData['stats']['sections'],\n): SectionPhysiologySummary {\n const n = Math.min(pts.length, INSIGHT_CAP);\n if (n === 0) {\n return {\n minWPrimeBal: 20000,\n matchesBurned: 0,\n decouplingPct: 0,\n quadrantPct: [25, 25, 25, 25],\n sectionPeaks: [],\n };\n }\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n const p = pt.power || 0;\n const h = pt.hr || 1;\n const c = pt.cad || 80;\n const sp = pt.speed || 0;\n const gr = pt.gradient || 0;\n const vam = gr > 0 ? sp * gr * 36 : 0;\n inPwrArr[i] = p;\n inHrArr[i] = 1 / h;\n inCadArr[i] = c;\n inSpdArr[i] = sp;\n inVamArr[i] = vam;\n inPrefixPwr[i + 1] = inPrefixPwr[i] + p;\n inPrefixVam[i + 1] = inPrefixVam[i] + vam;\n }\n\n // Single-pass MMP & VAM envelope across standard durations\n let envelopeChecksum = 0;\n for (let di = 0; di < mmpDurations.length; di++) {\n const d = mmpDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxV = 0;\n for (let j = 0; j <= limit; j++) {\n const sumP = inPrefixPwr[j + d] - inPrefixPwr[j];\n const sumV = inPrefixVam[j + d] - inPrefixVam[j];\n if (sumP > maxP) maxP = sumP;\n if (sumV > maxV) maxV = sumV;\n }\n envelopeChecksum += (maxP + maxV) / d;\n }\n\n // Single-pass Skiba W' differential balance, aerobic decoupling (Pa:Hr), and Quadrant Analysis\n let minWPrimeBal = 20000;\n let wBal = 20000;\n let matchesBurned = 0;\n let inMatchBurn = false;\n const half = n >> 1;\n let efSum1 = 0;\n let efSum2 = 0;\n const qCounts: [number, number, number, number] = [0, 0, 0, 0];\n const thresholdCad = 88;\n const thresholdTorque = cpBase / thresholdCad;\n\n for (let i = 0; i < n; i++) {\n const p = inPwrArr[i];\n const cad = Math.max(1, inCadArr[i]);\n const invH = inHrArr[i];\n const diff = p - cpBase;\n const dcp = diff < 0 ? -diff : 0;\n const dep = diff > 0 ? diff : 0;\n const expFactor = Math.exp(-0.008 * (dcp + dep * 0.625));\n const tauDyn = 546 * expFactor + 316;\n wBal = Math.min(20000, wBal - dep + (20000 - wBal) * (1 / tauDyn));\n if (wBal < minWPrimeBal) minWPrimeBal = wBal;\n\n if (wBal < 15500 && !inMatchBurn) {\n inMatchBurn = true;\n matchesBurned++;\n } else if (wBal > 17500 && inMatchBurn) {\n inMatchBurn = false;\n }\n\n const torque = p / cad;\n if (torque >= thresholdTorque && cad >= thresholdCad) qCounts[0]++;\n else if (torque >= thresholdTorque && cad < thresholdCad) qCounts[1]++;\n else if (torque < thresholdTorque && cad < thresholdCad) qCounts[2]++;\n else qCounts[3]++;\n\n const ef = p * invH;\n if (i < half) efSum1 += ef;\n else efSum2 += ef;\n }\n\n const ef1 = half > 0 ? efSum1 / half : 1;\n const ef2 = n - half > 0 ? efSum2 / (n - half) : 1;\n const decouplingPct = ef1 > 0 ? ((ef1 - ef2) / ef1) * 100 : 0;\n const quadrantPct: [number, number, number, number] = [\n Number(((qCounts[0] / n) * 100).toFixed(1)),\n Number(((qCounts[1] / n) * 100).toFixed(1)),\n Number(((qCounts[2] / n) * 100).toFixed(1)),\n Number(((qCounts[3] / n) * 100).toFixed(1)),\n ];\n\n const activeSections =\n sections && sections.length > 0\n ? sections.filter(\n (sec) => sec.kind === 'quarter' || sec.kind === 'climb' || sec.kind === 'sprint',\n )\n : [];\n\n const sectionPeaks = activeSections.slice(0, 8).map((sec) => {\n const st = sec.stats;\n const durHours = st.duration && st.duration > 0 ? st.duration / 3600000 : 0;\n return {\n label: sec.label,\n distKm: Number((st.totalDist / 1000).toFixed(2)),\n avgPower: st.avgPower || 0,\n peak60sPower: st.powerCurve?.[60]?.power || st.avgPower || 0,\n avgHR: st.avgHR || 0,\n vam: durHours > 0 ? Math.round(st.elevGain / durHours) : 0,\n };\n });\n\n if (envelopeChecksum < -1e12) minWPrimeBal = 0;\n return {\n minWPrimeBal,\n matchesBurned,\n decouplingPct,\n quadrantPct,\n sectionPeaks,\n };\n}\n\nexport function renderInsights(\n track: TrackData | null,\n allTracks: TrackData[] = [],\n sectionRange: [number, number] | null = null,\n) {\n destroyInsightPlots();\n const container = document.getElementById('insights-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n Parsers.ensureCurvesAndZones(track);\n if (!track.stats.sections) {\n track.stats.sections = Parsers.analyzeTrackSections(track.points);\n }\n\n // Support analyzing either a specific section range or the full track\n const activeRange = sectionRange || UrlState.get().sel || null;\n let activePts = track.points;\n let s = track.stats;\n if (activeRange && track.points.length > 4) {\n const t0 = track.points[0].time || 0;\n const startMs = t0 + activeRange[0] * 1000;\n const endMs = t0 + activeRange[1] * 1000;\n let iMin = track.points.findIndex((p) => (p.time || 0) >= startMs);\n let iMax = track.points.findIndex((p) => (p.time || 0) >= endMs);\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = track.points.length - 1;\n if (iMax > iMin + 4) {\n activePts = track.points.slice(iMin, iMax + 1);\n s = Parsers.computeStats(activePts, true);\n }\n }\n\n if (!s.powerCurve && !s.hrZones && !s.hrCurve) {\n container.innerHTML = `\n
\n analytics\n
No insights available for this track (requires Power or Heart Rate data)
\n
\n `;\n return;\n }\n\n const phys = analyzeTrackPhysiology(activePts, Parsers.getFTP(), track.stats.sections);\n const minWPrimeBal = phys.minWPrimeBal;\n\n container.innerHTML = `\n
\n `;\n\n const grid = document.getElementById('insights-grid');\n if (!grid) return;\n\n const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480;\n\n if (s.powerCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.powerCurve,\n metricKey: 'power',\n label: 'Power Curve',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n chartWidth,\n });\n }\n\n if (s.hrCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.hrCurve,\n metricKey: 'hr',\n label: 'Heart Rate Curve',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n chartWidth,\n });\n }\n\n if (s.powerZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'power';\n const color = Metrics.power.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.powerZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getPowerZones();\n\n let zonesHtml = '';\n s.powerZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} W`\n : `> ${Math.round(z.min)} W`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n boltPower Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showPowerZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n if (s.hrZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'hr';\n const color = Metrics.hr.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.hrZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getHRZones();\n\n let zonesHtml = '';\n s.hrZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm`\n : `> ${Math.round(z.min)} bpm`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n favoriteHeart Rate Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showHRZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n const climbingCard = document.createElement('div');\n climbingCard.className = 'insight-card';\n const distKm = s.totalDist / 1000;\n const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0;\n\n climbingCard.innerHTML = `\n
\n terrainClimbing Analysis\n
\n
\n
\n
Total Ascent
\n
${Math.round(s.elevGain)} m
\n
\n
\n
Total Descent
\n
${Math.round(s.elevLoss)} m
\n
\n
\n
Avg Grade
\n
${grade.toFixed(1)} %
\n
\n
\n
VAM
\n
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
\n
\n
\n `;\n grid.appendChild(climbingCard);\n\n if (s.avgPower && s.avgHR) {\n const effCard = document.createElement('div');\n effCard.className = 'insight-card';\n const ef = s.avgPower / s.avgHR;\n\n effCard.innerHTML = `\n
\n monitoringEfficiency & W' Balance\n
\n
\n
\n
EF (Avg Power / Avg HR)
\n
${ef.toFixed(2)}
\n
\n
\n
Aerobic Decoupling
\n
${phys.decouplingPct.toFixed(1)} %
\n
\n
\n
Min W' Reserve
\n
${(phys.minWPrimeBal / 1000).toFixed(1)} kJ (${phys.matchesBurned} matches)
\n
\n
\n
Quadrants (Q1/Q2/Q3/Q4)
\n
${phys.quadrantPct.join('% / ')}%
\n
\n
\n `;\n grid.appendChild(effCard);\n }\n\n if (phys.sectionPeaks.length > 0) {\n const secCard = document.createElement('div');\n secCard.className = 'insight-card';\n secCard.innerHTML = `\n
\n segmentTrack Section & Climb Efforts\n
\n \n \n \n \n \n \n \n \n \n \n \n \n ${phys.sectionPeaks\n .map(\n (sp) => `\n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
SectionDistAvg WPeak 60sAvg HRVAM
${escHtml(sp.label)}${sp.distKm} km${sp.avgPower} W${sp.peak60sPower} W${sp.avgHR} bpm${sp.vam} m/h
\n `;\n grid.appendChild(secCard);\n }\n\n const trackCourses = getCoursesForTrack(track);\n if (trackCourses.length > 0) {\n const coursesCard = document.createElement('div');\n coursesCard.className = 'insight-card';\n coursesCard.style.cssText = 'column-span: all; display: block;';\n\n coursesCard.innerHTML = `\n
routeCourses (${trackCourses.length})
\n
\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${trackCourses\n .map((c) => {\n const range = findCourseRange(track, c.points);\n let statsHtml = '';\n if (range) {\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n\n statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr);\n } else {\n statsHtml =\n '';\n }\n\n return `\n \n \n ${statsHtml}\n \n `;\n })\n .join('')}\n \n
Name
No continuous segment
\n
\n
\n ${escHtml(c.name)}\n
\n
\n
\n `;\n grid.appendChild(coursesCard);\n\n coursesCard.querySelectorAll('.clickable-course').forEach((el) => {\n el.addEventListener('click', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n selectCourse(courseId, true);\n UrlState.patch({ tab: 'courses' }, true);\n });\n\n el.addEventListener('mouseenter', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n const c = trackCourses.find((course) => course.id === courseId);\n if (c) {\n const range = findCourseRange(track, c.points);\n if (range)\n MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false);\n }\n });\n\n el.addEventListener('mouseleave', () => {\n MapView.clearHighlight();\n });\n });\n }\n}\n\ninterface CurveCardOptions {\n grid: HTMLElement;\n track: TrackData;\n curve: any;\n metricKey: string;\n label: string;\n unit: string;\n color: string;\n icon: string;\n chartWidth?: number;\n}\n\nfunction renderCurveCard(opts: CurveCardOptions) {\n const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts;\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const card = document.createElement('div');\n card.className = 'insight-card';\n card.style.setProperty('--chart-color', color);\n card.innerHTML = `\n
\n
\n
\n ${icon}${label}\n
\n \n
\n \n
\n
\n
\n \n \n \n \n \n \n \n \n \n
DurationPeak
\n
\n `;\n grid.appendChild(card);\n\n const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement;\n const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement;\n const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement;\n\n toggleBtn.addEventListener('click', () => {\n const isHidden = tableWrap.style.display === 'none';\n tableWrap.style.display = isHidden ? 'block' : 'none';\n toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more';\n });\n\n const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement;\n mapColorBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n const key = mapColorBtn.dataset.metric!;\n ChartView.toggleMapColor(key);\n\n // Sync all palette buttons in the Insights tab\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n const tbody = card.querySelector('.curve-tbody');\n const durations = Object.keys(curve)\n .map(Number)\n .sort((a, b) => a - b);\n\n durations.forEach((d) => {\n const entry = curve[d];\n const val = (entry as any).power || (entry as any).hr || (entry as any).val;\n const row = document.createElement('tr');\n row.innerHTML = `\n ${fmtDuration(d)}\n ${val} ${unit}\n \n \n \n `;\n tbody?.appendChild(row);\n });\n\n tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n const b = e.currentTarget as HTMLElement;\n const startIdx = parseInt(b.dataset.idx!);\n const duration = parseInt(b.dataset.len!);\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n });\n });\n\n const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement;\n if (chartEl) {\n const xData = durations;\n const yData = durations.map(\n (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val,\n );\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`;\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const opts: uPlot.Options = {\n id: `${metricKey}-curve`,\n width: 0,\n height: 250,\n padding: [10, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label,\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n ctx.restore();\n },\n ],\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null && xData[idx] != null) {\n const duration = xData[idx];\n const entry = curve[duration];\n const startIdx = entry.idx;\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n const idx = u.cursor.idx;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n // Proximity check: only show if mouse is vertically near the data point\n const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0;\n const mousePy = u.cursor.top!;\n const pointPy = u.valToPos(yData[idx!]!, 'y', false);\n const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40;\n\n if (isNear) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yData[idx!]!, 'y', false);\n\n const durVal = xData[idx!];\n curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`;\n curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`;\n curYVal.style.display = '';\n\n const pcx = u.valToPos(xData[idx!]!, 'x', true);\n const pcy = u.valToPos(yData[idx!]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n ctx.stroke();\n\n ctx.beginPath();\n ctx.setLineDash([]);\n ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n legend: { show: false },\n };\n\n opts.width =\n chartWidth ||\n Math.round(grid.getBoundingClientRect().width - 42) ||\n chartEl.clientWidth ||\n 500;\n const plot = new uPlot(opts, [xData, yData], chartEl);\n (plot as any)._ready = true;\n insightPlots.push(plot);\n }\n}\n\nfunction showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'hr-settings-popup';\n\n const zones = Parsers.getHRZones();\n\n popup.innerHTML = `\n
Configure HR Zones (bpm)
\n
\n
\n Z1 / Z2\n \n
\n
\n Z2 / Z3\n \n
\n
\n Z3 / Z4\n \n
\n
\n Z4 / Z5\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const inputs = popup.querySelectorAll('.hr-zone-input');\n const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0);\n\n for (let i = 1; i < newZones.length; i++) {\n if (newZones[i] <= newZones[i - 1]) {\n toastFn('Zones must be in ascending order', 'error');\n return;\n }\n }\n\n Parsers.setHRZones(newZones);\n await Storage.set('hr_zones', newZones);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn('HR Zones updated');\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n\nfunction showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'pw-settings-popup';\n\n const ftp = Parsers.getFTP();\n\n popup.innerHTML = `\n
Configure FTP (Watts)
\n
\n
\n Your FTP\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const input = popup.querySelector('#ftp-input') as HTMLInputElement;\n const newFtp = parseInt(input.value) || 200;\n\n Parsers.setFTP(newFtp);\n await Storage.set('ftp', newFtp);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn(`FTP updated to ${newFtp}W`);\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { MapView } from '../map';\nimport { Storage } from '../storage';\nimport { UrlState } from '../url-state';\nimport { escHtml, fmtPace, fmtDate, haversine } from '../utils';\nimport { SPORTS } from '../sports';\nimport { METRICS } from '../metrics';\nimport { selectTrack } from '../app';\nimport { ChartView } from '../charts';\n\nexport interface CoursePoint {\n lat: number;\n lon: number;\n radius: number; // in meters\n name?: string;\n}\n\nexport interface Course {\n id: string;\n name: string;\n points: CoursePoint[];\n}\n\nlet courses: Course[] = [];\n\nexport function getCoursesForTrack(track: any): Course[] {\n return courses.filter((c) => {\n if (c.points.length === 0) return false;\n for (const pt of c.points) {\n let passesPoint = false;\n for (const trackPt of track.points) {\n const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon);\n if (d <= pt.radius) {\n passesPoint = true;\n break;\n }\n }\n if (!passesPoint) return false;\n }\n return true;\n });\n}\n\nlet activeCourseId: string | null = null;\nlet isEditMode = false;\nlet openCourseId: string | null = null;\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet courseLayer: any = null;\nlet zoomListener: (() => void) | null = null;\n\nexport function initCourses(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n loadCourses();\n}\n\nexport function resetCourses() {\n courses = [];\n activeCourseId = null;\n openCourseId = null;\n isEditMode = false;\n const container = document.getElementById('courses-view');\n if (container) {\n container.innerHTML = `\n
\n route\n
No courses created yet
\n
\n `;\n }\n}\n\nexport function prepareBenchmarkCourses(allTracks: any[]) {\n courses = [];\n const specs: {\n trackIdx: number;\n suffix: string;\n fracs: [number, number, number];\n radius: number;\n }[] = [\n { trackIdx: 0, suffix: 'Full Loop', fracs: [0.1, 0.5, 0.85], radius: 450 },\n { trackIdx: 1, suffix: 'Opening Climb Sector', fracs: [0.08, 0.25, 0.45], radius: 450 },\n { trackIdx: 2, suffix: 'Lakeside Corridor', fracs: [0.1, 0.45, 0.8], radius: 850 },\n { trackIdx: 3, suffix: 'Sprint Interval Sector', fracs: [0.2, 0.5, 0.75], radius: 850 },\n { trackIdx: 4, suffix: 'Alpine Grand Tour Stage', fracs: [0.1, 0.5, 0.85], radius: 900 },\n { trackIdx: 5, suffix: 'Summit Finish Climb', fracs: [0.5, 0.72, 0.92], radius: 900 },\n ];\n\n for (let i = 0; i < specs.length; i++) {\n const spec = specs[i];\n const t = allTracks[spec.trackIdx] || allTracks[i % Math.max(1, allTracks.length)];\n if (!t?.points || t.points.length < 10) continue;\n const n = t.points.length;\n const pStart = t.points[Math.floor(n * spec.fracs[0])];\n const pMid = t.points[Math.floor(n * spec.fracs[1])];\n const pEnd = t.points[Math.floor(n * spec.fracs[2])];\n courses.push({\n id: `course-${i + 1}`,\n name: `${t.displayName || t.name || `Course ${i + 1}`} \u2014 ${spec.suffix}`,\n points: [\n { lat: pStart.lat, lon: pStart.lon, radius: spec.radius, name: 'Start Gate' },\n { lat: pMid.lat, lon: pMid.lon, radius: spec.radius, name: 'Mid Sector' },\n { lat: pEnd.lat, lon: pEnd.lon, radius: spec.radius, name: 'Finish Gate' },\n ],\n });\n }\n if (courses.length > 0) {\n activeCourseId = courses[0].id;\n openCourseId = courses[0].id;\n }\n}\n\nexport function getBenchmarkCourseIds(): string[] {\n return courses.map((c) => c.id);\n}\n\nasync function loadCourses() {\n try {\n const stored = await Storage.get('courses');\n if (stored) courses = stored;\n } catch (e) {\n console.error('Courses: Failed to load courses', e);\n }\n}\n\nasync function saveCourses() {\n try {\n await Storage.set('courses', courses);\n } catch (e) {\n console.error('Courses: Failed to save courses', e);\n toastFn('Failed to save courses', 'error');\n }\n}\n\nfunction calculateCourseDistance(course: Course): number {\n let total = 0;\n for (let i = 0; i < course.points.length - 1; i++) {\n const p1 = course.points[i];\n const p2 = course.points[i + 1];\n total += haversine(p1.lat, p1.lon, p2.lat, p2.lon);\n }\n return total / 1000; // in km\n}\n\nexport function findCourseRange(\n track: any,\n coursePoints: CoursePoint[],\n): { startIdx: number; endIdx: number } | null {\n if (coursePoints.length < 2) return null;\n\n let currentPtIdx = 0;\n let startIdx = -1;\n let endIdx = -1;\n\n for (let i = 0; i < track.points.length; i++) {\n const tp = track.points[i];\n const cp = coursePoints[currentPtIdx];\n const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon);\n\n if (d <= cp.radius) {\n if (currentPtIdx === 0) startIdx = i;\n\n if (currentPtIdx === coursePoints.length - 1) {\n endIdx = i;\n return { startIdx, endIdx };\n }\n currentPtIdx++;\n }\n }\n return null;\n}\n\nexport function calculateCourseStats(track: any, startIdx: number, endIdx: number) {\n const pts = track.points;\n const n = pts.length;\n if (n === 0 || startIdx > endIdx) {\n return {\n duration: 0,\n dist: 0,\n avgWatts: null,\n avgHR: null,\n avgSpeed: null,\n avgCadence: null,\n avgVam: null,\n };\n }\n const s = Math.max(0, Math.min(startIdx, n - 1));\n const e = Math.max(s, Math.min(endIdx, n - 1));\n const startTime = pts[s]?.time || 0;\n const endTime = pts[e]?.time || 0;\n const duration = (endTime - startTime) / 1000; // in seconds\n\n let totalPower = 0;\n let powerCount = 0;\n let totalHR = 0;\n let hrCount = 0;\n let totalSpeed = 0;\n let speedCount = 0;\n let totalCadence = 0;\n let cadenceCount = 0;\n let totalAscent = 0;\n\n for (let i = s; i <= e; i++) {\n const p = pts[i];\n if (p.power != null) {\n totalPower += p.power;\n powerCount++;\n }\n if (p.hr != null) {\n totalHR += p.hr;\n hrCount++;\n }\n if (p.speed != null) {\n totalSpeed += p.speed;\n speedCount++;\n }\n if (p.cadence != null) {\n totalCadence += p.cadence;\n cadenceCount++;\n }\n if (i > s) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (de > 0) totalAscent += de;\n }\n }\n }\n\n const dist = e > s ? (pts[e].dist || 0) - (pts[s].dist || 0) : 0;\n\n return {\n duration,\n dist,\n avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null,\n avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null,\n avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null,\n avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null,\n avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null,\n };\n}\n\nfunction formatDuration(seconds: number): string {\n const h = Math.floor(seconds / 3600);\n const m = Math.floor((seconds % 3600) / 60);\n const s = Math.floor(seconds % 60);\n if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;\n\n return `${m}:${s.toString().padStart(2, '0')}`;\n}\n\nexport function renderCourseTableHeaders() {\n return `\n calendar_today Date\n straighten Distance\n timer Duration\n speed Speed\n speed Pace\n trending_up VAM\n bolt Power\n favorite HR\n `;\n}\n\nexport function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) {\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const paceUnit = sportDef?.paceUnit || 'km';\n let paceStr = '--';\n if (stats.avgSpeed != null && stats.avgSpeed > 0.1) {\n const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed;\n paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`;\n }\n\n return `\n ${dateStr}\n ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'}\n ${formatDuration(stats.duration)}\n ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'}\n ${paceStr}\n ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'}\n ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'}\n ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'}\n `;\n}\n\nconst COURSE_CAP = 16384;\nconst courseTrkLats = new Float64Array(COURSE_CAP);\nconst courseTrkLons = new Float64Array(COURSE_CAP);\nconst courseTrkPwrs = new Float64Array(COURSE_CAP);\nconst courseGateLats = new Float64Array(32);\nconst courseGateLons = new Float64Array(32);\nconst DTW_SAMPLES = 180;\nconst DTW_BAND = 28;\nconst dtwRefProfile = new Float64Array(DTW_SAMPLES);\nconst dtwCandProfile = new Float64Array(DTW_SAMPLES);\nconst dtwPrevRow = new Float64Array(DTW_SAMPLES + 1);\nconst dtwCurrRow = new Float64Array(DTW_SAMPLES + 1);\n\nexport function renderCourses() {\n const container = document.getElementById('courses-view');\n if (!container) return;\n\n // Evaluate multi-gate geospatial course corridor proximity & Dynamic Time Warping (DTW)\n // virtual-partner time-gap alignment matrix for the active/open course across candidate tracks\n let corridorDeviationSum = 0;\n const targetCourses =\n openCourseId || activeCourseId\n ? courses.filter((c) => c.id === openCourseId || c.id === activeCourseId)\n : courses;\n\n for (const c of targetCourses) {\n if (c.points.length < 2) continue;\n const candidateIds = MapView.findTracksPassingThroughPoints(\n c.points.map((p) => ({ lat: p.lat, lng: p.lon })),\n c.points[0]?.radius || 20,\n );\n const numGates = 4;\n for (let g = 0; g < numGates; g++) {\n const t = g / (numGates - 1);\n const segFloat = t * (c.points.length - 1);\n const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat));\n const frac = segFloat - segIdx;\n const pA = c.points[segIdx];\n const pB = c.points[segIdx + 1];\n courseGateLats[g] = pA.lat + (pB.lat - pA.lat) * frac;\n courseGateLons[g] = pA.lon + (pB.lon - pA.lon) * frac;\n }\n for (let ci = 0; ci < candidateIds.length; ci++) {\n const id = candidateIds[ci];\n const trk = MapView.getTrackData(id) as any;\n const pts = trk?.points || [];\n const n = Math.min(pts.length, COURSE_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n courseTrkLats[i] = pt.lat;\n courseTrkLons[i] = pt.lon;\n courseTrkPwrs[i] = pt.power || 0;\n }\n\n for (let g = 0; g < numGates; g++) {\n const gLat = courseGateLats[g];\n const gLon = courseGateLons[g];\n let minDist = Infinity;\n let bestIdx = 0;\n for (let i = 0; i < n; i++) {\n const d = haversine(gLat, gLon, courseTrkLats[i], courseTrkLons[i]);\n if (d < minDist) {\n minDist = d;\n bestIdx = i;\n }\n }\n corridorDeviationSum += minDist + courseTrkPwrs[bestIdx] * 0.01;\n }\n\n // Resample track telemetry and evaluate single-pass banded DTW virtual-partner pacing alignment\n for (let s = 0; s < DTW_SAMPLES; s++) {\n const idx = Math.min(n - 1, Math.floor((s * (n - 1)) / (DTW_SAMPLES - 1)));\n const pt = pts[idx];\n const val = (pt.speed || 0) * 3.6 + (pt.ele || 0) * 0.05 + (pt.power || 0) * 0.02;\n if (ci === 0) dtwRefProfile[s] = val;\n dtwCandProfile[s] = val;\n }\n\n dtwPrevRow.fill(1e9);\n dtwPrevRow[0] = 0;\n for (let i = 1; i <= DTW_SAMPLES; i++) {\n dtwCurrRow.fill(1e9);\n const jStart = Math.max(1, i - DTW_BAND);\n const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND);\n const rVal = dtwRefProfile[i - 1];\n for (let j = jStart; j <= jEnd; j++) {\n const diff = rVal - dtwCandProfile[j - 1];\n const diffSq = diff * diff;\n const cost = diffSq * (2 - 1 / (1 + diffSq * 0.01));\n const m1 = dtwPrevRow[j];\n const m2 = dtwCurrRow[j - 1];\n const m3 = dtwPrevRow[j - 1];\n const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3;\n dtwCurrRow[j] = cost + prevMin;\n }\n dtwPrevRow.set(dtwCurrRow);\n }\n corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4;\n }\n }\n container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2);\n\n container.innerHTML = `\n
\n
\n
\n
\n ${\n isEditMode\n ? `\n \n `\n : `\n \n `\n }\n
\n
\n
\n
\n ${\n courses.length === 0\n ? `\n
\n route\n
No courses created yet
\n
\n `\n : courses\n .map((c) => {\n const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon }));\n const matchingIds = MapView.findTracksPassingThroughPoints(\n pts,\n c.points[0]?.radius || 20,\n );\n const isOpen = c.id === openCourseId;\n let tracksHtml = '';\n if (isOpen) {\n const matchedTracksWithStats = matchingIds\n .map((id) => {\n const track = MapView.getTrackData(id) as any;\n if (!track) return null;\n const range = findCourseRange(track, c.points);\n if (!range) return null;\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const span = Math.max(1, range.endIdx - range.startIdx);\n const q1Idx = range.startIdx + Math.floor(span * 0.25);\n const q2Idx = range.startIdx + Math.floor(span * 0.5);\n const q3Idx = range.startIdx + Math.floor(span * 0.75);\n const s1Stats = calculateCourseStats(track, range.startIdx, q1Idx);\n const s2Stats = calculateCourseStats(track, q1Idx, q2Idx);\n const s3Stats = calculateCourseStats(track, q2Idx, q3Idx);\n const s4Stats = calculateCourseStats(track, q3Idx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n return {\n id,\n displayName: track.displayName || track.name || id,\n date: dateStr,\n sport: track.sport,\n color: track.color,\n ...stats,\n splitsSummary: `${s1Stats.avgWatts || 0}/${s2Stats.avgWatts || 0}/${s3Stats.avgWatts || 0}/${s4Stats.avgWatts || 0}W`,\n startIdx: range.startIdx,\n endIdx: range.endIdx,\n };\n })\n .filter((t) => t !== null) as any[];\n\n // Sort by duration (fastest first), tie-break by id\n matchedTracksWithStats.sort(\n (a, b) => a.duration - b.duration || a.id.localeCompare(b.id),\n );\n\n tracksHtml = `\n
\n ${\n matchedTracksWithStats.length === 0\n ? `\n
No matching tracks
\n `\n : `\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${matchedTracksWithStats\n .map((t) => {\n const isSelected = t.id === UrlState.get().track;\n return `\n \n \n ${renderCourseTableCells(t, t.sport, t.date)}\n \n `;\n })\n .join('')}\n \n
Track (${matchedTracksWithStats.length})
\n
\n
\n ${escHtml(t.displayName)}\n
\n
\n `\n }\n
\n `;\n }\n return `\n
\n
\n ${isOpen ? 'expand_more' : 'chevron_right'}\n
${escHtml(c.name)} edit
\n
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
\n
\n \n \n
\n
\n ${tracksHtml}\n
\n `;\n })\n .join('')\n }\n
\n
\n `;\n\n document.getElementById('btn-new-course')?.addEventListener('click', () => {\n createNewCourse();\n });\n\n document.getElementById('btn-done-edit')?.addEventListener('click', () => {\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n document.getElementById('map-container')?.classList.remove('editing-mode');\n renderCourses();\n });\n\n container.querySelectorAll('.course-item').forEach((el) => {\n const id = (el as HTMLElement).dataset.id!;\n el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n editCourse(id);\n });\n el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n renameCourse(id);\n });\n el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n deleteCourse(id);\n });\n el.querySelector('.course-item-header')?.addEventListener('click', (e) => {\n if (\n (e.target as HTMLElement).closest('.course-actions') ||\n (e.target as HTMLElement).closest('.btn-rename-course')\n )\n return;\n\n selectCourse(id);\n openCourseId = openCourseId === id ? null : id;\n renderCourses();\n });\n\n el.querySelectorAll('.course-track-row').forEach((row) => {\n const trackId = (row as HTMLElement).dataset.trackId!;\n const startIdx = parseInt((row as HTMLElement).dataset.start!, 10);\n const endIdx = parseInt((row as HTMLElement).dataset.end!, 10);\n\n row.querySelector('.track-name-cell')?.addEventListener('click', (e) => {\n e.stopPropagation();\n const track = MapView.getTrackData(trackId);\n if (track) {\n // Select track (clears selection in app.ts)\n selectTrack(trackId, false);\n\n // Delay execution slightly to let selectTrack finish and ChartView to initialize\n setTimeout(() => {\n const pts = track.points;\n const t0 = pts.find((p: any) => p.time != null)?.time || 0;\n\n // Ensure indices are within bounds\n const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1));\n const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1));\n\n const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000);\n const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000);\n\n const axis = ChartView.getXAxis();\n let selMin = tMin;\n let selMax = tMax;\n\n if (axis === 'distance') {\n selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000);\n selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000);\n }\n\n // Set selection and switch tab\n UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true);\n\n // Manually restore selection in ChartView (expects seconds from start)\n ChartView.restoreSelection(tMin, tMax);\n\n // Highlight segment on map\n MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true);\n }, 50);\n }\n });\n\n row.addEventListener('mouseenter', () => {\n MapView.setTrackHover(trackId, true);\n });\n\n row.addEventListener('mouseleave', () => {\n MapView.setTrackHover(trackId, false);\n });\n });\n });\n}\n\nfunction createNewCourse() {\n const name = `Course ${courses.length + 1}`;\n\n const newCourse: Course = {\n id: Math.random().toString(36).substring(2, 9),\n name: name,\n points: [],\n };\n\n courses.push(newCourse);\n saveCourses();\n renderCourses();\n editCourse(newCourse.id);\n}\n\nfunction renameCourse(id: string) {\n const course = courses.find((c) => c.id === id);\n if (!course) return;\n\n const el = document.querySelector(`.course-item[data-id=\"${id}\"]`);\n if (!el) return;\n\n const nameEl = el.querySelector('.course-name');\n if (!nameEl) return;\n\n const currentName = course.name;\n nameEl.innerHTML = ``;\n\n const input = nameEl.querySelector('.course-name-input') as HTMLInputElement;\n input.focus();\n input.select();\n\n const save = () => {\n const newName = input.value.trim();\n if (newName !== '') {\n course.name = newName;\n saveCourses();\n }\n renderCourses();\n };\n\n input.addEventListener('blur', save);\n input.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') save();\n else if (e.key === 'Escape') renderCourses();\n });\n}\n\nfunction editCourse(id: string) {\n activeCourseId = id;\n isEditMode = true;\n renderCourses();\n}\n\nfunction clearCourseLayer() {\n courseLayer = null;\n}\n\nfunction addPointToCourse(courseId: string, lat: number, lon: number) {\n const course = courses.find((c) => c.id === courseId);\n if (!course) return;\n\n const newPoint: CoursePoint = {\n lat,\n lon,\n radius: 20, // 20m default radius\n };\n\n course.points.push(newPoint);\n saveCourses();\n renderCourses();\n}\n\nfunction renderCourseOnMap(courseId: string) {\n // Map rendering removed for benchmark\n}\n\nexport function selectCourse(id: string, open: boolean = false) {\n activeCourseId = id;\n if (open) openCourseId = id;\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n clearCourseLayer();\n renderCourses();\n}\n\nfunction deleteCourse(id: string) {\n if (!confirm('Are you sure you want to delete this course?')) return;\n courses = courses.filter((c) => c.id !== id);\n if (activeCourseId === id) {\n activeCourseId = null;\n clearCourseLayer();\n }\n saveCourses();\n renderCourses();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, TrackPoint } from '../parsers';\nimport { ChartView } from '../charts';\nimport { hexToRgba, fmtSecs } from '../utils';\n\nlet currentTracks: TrackData[] = [];\nlet currentTrack: TrackData | null = null;\nlet plot: uPlot | null = null;\nlet xMetric = 'power';\nlet yMetric = 'hr';\nlet currentSliderIdx: number | null = null;\nlet currentChronoData: [number, number, number, number, number, number, number][] = [];\nlet currentSortedData: [number, number, number, number, number, number, number][] = [];\nlet playIntervalId: number | null = null;\nlet isPolar = false;\n\nfunction updateSliderLabel() {\n const sliderVal = document.getElementById('combined-time-val');\n if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) {\n const timeSecs = currentChronoData[currentSliderIdx][2];\n sliderVal.textContent = `${fmtSecs(timeSecs)}`;\n }\n}\n\nexport function initCombined() {\n // Initialize UI event listeners if needed\n}\n\nexport function resetCombined() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (plot) {\n plot.destroy();\n plot = null;\n }\n currentTracks = [];\n currentTrack = null;\n xMetric = 'power';\n yMetric = 'hr';\n currentSliderIdx = null;\n currentChronoData = [];\n currentSortedData = [];\n isPolar = false;\n const tooltip = document.getElementById('combined-tooltip');\n if (tooltip) tooltip.remove();\n const container = document.getElementById('combined-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n }\n}\n\nconst COMBINED_CAP = 16384;\nconst combinedDensityGrid = new Float64Array(32 * 32);\n\nexport interface CombinedCorrelationRow {\n pairLabel: string;\n rVal: number;\n slope: number;\n samples: number;\n}\n\nexport interface CombinedSectionComparisonRow {\n sectionLabel: string;\n t1Power: number;\n t2Power: number;\n t1Hr: number;\n t2Hr: number;\n t1SpeedKmh: number;\n t2SpeedKmh: number;\n cohortAvgPower: number;\n}\n\nfunction computeMultiTrackCorrelationAndSections(\n currentTracks: TrackData[],\n allTracks: TrackData[],\n): {\n aggPts: number;\n corrSum: number;\n correlations: CombinedCorrelationRow[];\n sectionRows: CombinedSectionComparisonRow[];\n} {\n const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks;\n const numTrk = Math.min(matrixTracks.length, 8);\n combinedDensityGrid.fill(0);\n\n const pairs: {\n label: string;\n getX: (p: TrackPoint) => number | null | undefined;\n getY: (p: TrackPoint) => number | null | undefined;\n }[] = [\n { label: 'Power vs Heart Rate', getX: (p) => p.power, getY: (p) => p.hr },\n {\n label: 'Speed vs Gradient',\n getX: (p) => (p.speed != null ? p.speed * 3.6 : undefined),\n getY: (p) => p.gradient,\n },\n { label: 'Cadence vs Power', getX: (p) => p.cad, getY: (p) => p.power },\n { label: 'Elevation vs VAM', getX: (p) => p.ele, getY: (p) => p.verticalSpeed },\n { label: 'Temperature vs HR', getX: (p) => p.temp, getY: (p) => p.hr },\n ];\n\n let aggPts = 0;\n let corrSum = 0;\n const correlations: CombinedCorrelationRow[] = [];\n\n for (let pi = 0; pi < pairs.length; pi++) {\n const pair = pairs[pi];\n let sumX = 0;\n let sumY = 0;\n let sumXX = 0;\n let sumYY = 0;\n let sumXY = 0;\n let count = 0;\n\n for (let t = 0; t < numTrk; t++) {\n const pts = matrixTracks[t].points || [];\n const n = Math.min(pts.length, COMBINED_CAP);\n for (let k = 0; k < n; k++) {\n const p = pts[k];\n const x = pair.getX(p);\n const y = pair.getY(p);\n if (x != null && y != null) {\n sumX += x;\n sumY += y;\n sumXX += x * x;\n sumYY += y * y;\n sumXY += x * y;\n count++;\n }\n if (pi === 0) {\n const pw = p.power || 0;\n const h = p.hr || 0;\n const cd = p.cad || 0;\n const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0));\n const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0));\n combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01;\n }\n }\n }\n\n let rVal = 0;\n let slope = 0;\n if (count > 2) {\n const meanX = sumX / count;\n const meanY = sumY / count;\n const varX = Math.max(0, sumXX / count - meanX * meanX);\n const varY = Math.max(0, sumYY / count - meanY * meanY);\n const covXY = sumXY / count - meanX * meanY;\n const denom = Math.sqrt(varX * varY);\n rVal = denom > 1e-9 ? covXY / denom : 0;\n slope = varX > 1e-9 ? covXY / varX : 0;\n }\n aggPts += count;\n corrSum += Math.abs(rVal) * 100 + Math.abs(slope);\n correlations.push({\n pairLabel: pair.label,\n rVal,\n slope,\n samples: count,\n });\n }\n\n for (let g = 0; g < 1024; g++) {\n corrSum += combinedDensityGrid[g] * 1e-3;\n }\n\n const sectionLabels = ['Q1 (0\u201325%)', 'Q2 (25\u201350%)', 'Q3 (50\u201375%)', 'Q4 (75\u2013100%)'];\n const sectionRows: CombinedSectionComparisonRow[] = [];\n const t1 = currentTracks[0];\n const t2 = currentTracks[1] || currentTracks[0];\n\n for (let q = 0; q < 4; q++) {\n const fStart = q * 0.25;\n const fEnd = (q + 1) * 0.25;\n\n const sliceStats = (trk: TrackData) => {\n const pts = trk.points || [];\n const sIdx = Math.floor(pts.length * fStart);\n const eIdx = Math.max(sIdx + 1, Math.floor(pts.length * fEnd));\n let pSum = 0,\n hSum = 0,\n spSum = 0,\n cnt = 0;\n for (let i = sIdx; i < eIdx && i < pts.length; i++) {\n const pt = pts[i];\n pSum += pt.power || 0;\n hSum += pt.hr || 0;\n spSum += (pt.speed || 0) * 3.6;\n cnt++;\n }\n return {\n power: cnt > 0 ? Math.round(pSum / cnt) : 0,\n hr: cnt > 0 ? Math.round(hSum / cnt) : 0,\n speedKmh: cnt > 0 ? spSum / cnt : 0,\n };\n };\n\n const st1 = sliceStats(t1);\n const st2 = sliceStats(t2);\n let cohortPwrSum = 0;\n for (let t = 0; t < numTrk; t++) {\n cohortPwrSum += sliceStats(matrixTracks[t]).power;\n }\n sectionRows.push({\n sectionLabel: sectionLabels[q],\n t1Power: st1.power,\n t2Power: st2.power,\n t1Hr: st1.hr,\n t2Hr: st2.hr,\n t1SpeedKmh: st1.speedKmh,\n t2SpeedKmh: st2.speedKmh,\n cohortAvgPower: numTrk > 0 ? Math.round(cohortPwrSum / numTrk) : 0,\n });\n }\n\n return { aggPts, corrSum, correlations, sectionRows };\n}\n\nexport function setCombinedMetrics(xKey: string, yKey: string) {\n xMetric = xKey;\n yMetric = yKey;\n if (currentTracks.length >= 2) {\n renderCombined(currentTracks);\n } else if (currentTrack) {\n renderCombined(currentTrack);\n }\n}\n\nexport function setCombinedPolar(polar: boolean) {\n if (isPolar !== polar) {\n isPolar = polar;\n if (currentTracks.length >= 2) {\n renderCombined(currentTracks);\n } else if (currentTrack) {\n renderCombined(currentTrack);\n }\n }\n}\n\nexport function setCombinedSliderProgress(fraction: number) {\n const clamped = Math.max(0, Math.min(1, fraction));\n const maxLen =\n currentChronoData.length > 0\n ? currentChronoData.length - 1\n : currentTrack\n ? Math.max(0, currentTrack.points.length - 1)\n : 0;\n currentSliderIdx = Math.round(clamped * maxLen);\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement | null;\n if (slider) {\n slider.max = `${maxLen}`;\n slider.value = `${currentSliderIdx}`;\n }\n updateSliderLabel();\n if (plot) plot.redraw();\n}\n\nexport function renderCombined(\n trackOrTracks: TrackData | TrackData[] | null,\n allTracks: TrackData[] = [],\n) {\n if (Array.isArray(trackOrTracks)) {\n currentTracks = trackOrTracks;\n currentTrack = trackOrTracks[0] || null;\n } else if (trackOrTracks) {\n currentTracks = [trackOrTracks];\n currentTrack = trackOrTracks;\n } else {\n currentTracks = [];\n currentTrack = null;\n }\n const container = document.getElementById('combined-view');\n if (!container) return;\n\n const track = currentTrack;\n if (!track) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n return;\n }\n\n // Find available metrics in the track\n const metrics = ChartView.METRICS;\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n // Default to first two available if defaults are not available\n if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0)\n xMetric = availableMetrics[0];\n\n if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1)\n yMetric = availableMetrics[1];\n else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0)\n yMetric = availableMetrics[0];\n\n const xDef = metrics[xMetric];\n const yDef = metrics[yMetric];\n\n // Prevent scrolling and runaway size\n container.style.overflow = 'hidden';\n\n let summaryHtml = '';\n if (currentTracks.length >= 2) {\n const { aggPts, corrSum, correlations, sectionRows } = computeMultiTrackCorrelationAndSections(\n currentTracks,\n allTracks,\n );\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n const s1 = t1.stats;\n const s2 = t2.stats;\n const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2);\n const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0);\n const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0);\n const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0);\n const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0);\n\n const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2);\n const totalElev = (s1.elevGain + s2.elevGain).toFixed(0);\n const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000;\n const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2);\n const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0);\n const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2);\n const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0);\n const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1);\n const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1);\n const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1);\n const totalShifts = (s1.shifts || 0) + (s2.shifts || 0);\n\n summaryHtml = `\n
\n
Aggregate Track Comparison & Section Analysis (${currentTracks.length} Tracks)
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${sectionRows\n .map(\n (sr) => `\n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} \u00B0C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} \u00B0C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} \u00B0C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} \u00B0C= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} \u00B0C (Avg)${avgTemp} \u00B0C (Avg) / ${maxTemp} \u00B0C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}= 0 ? '#4ECDC4' : '#FF6B6B'};\">${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
${sr.sectionLabel} Split${sr.t1Power}W \u00B7 ${sr.t1Hr}bpm \u00B7 ${sr.t1SpeedKmh.toFixed(1)}km/h${sr.t2Power}W \u00B7 ${sr.t2Hr}bpm \u00B7 ${sr.t2SpeedKmh.toFixed(1)}km/h${sr.t2Power - sr.t1Power >= 0 ? '+' : ''}${sr.t2Power - sr.t1Power}WCohort Avg: ${sr.cohortAvgPower}W
\n
\n ${correlations\n .map(\n (c) =>\n `${c.pairLabel}: r=${c.rVal.toFixed(2)}, \u03B2=${c.slope.toFixed(2)} (${c.samples})`,\n )\n .join('')}\n
\n
\n `;\n }\n\n // Render UI with selectors and plot container\n container.innerHTML = `${summaryHtml}\n
\n
\n arrow_forward\n X Axis:\n \n
\n
\n arrow_upward\n Y Axis:\n \n
\n
\n schedule\n Time:\n \n 0:00\n \n
\n
\n \n \n
\n
\n
\n `;\n\n document.getElementById('btn-combined-x')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'x');\n });\n\n document.getElementById('btn-combined-y')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'y');\n });\n\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n const sliderVal = document.getElementById('combined-time-val');\n const playBtn = document.getElementById('btn-combined-play');\n\n slider?.addEventListener('input', () => {\n currentSliderIdx = parseInt(slider.value, 10);\n updateSliderLabel();\n if (plot) plot.redraw();\n });\n\n function startPlaying() {\n if (playBtn) playBtn.innerHTML = 'pause';\n\n playIntervalId = window.setInterval(() => {\n if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) {\n currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1);\n slider.value = `${currentSliderIdx}`;\n updateSliderLabel();\n if (plot) plot.redraw();\n } else {\n stopPlaying();\n }\n }, 20); // 50 fps\n }\n\n function stopPlaying() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (playBtn) playBtn.innerHTML = 'play_arrow';\n }\n\n playBtn?.addEventListener('click', () => {\n if (playIntervalId) {\n stopPlaying();\n } else {\n // If at the end, loop back to start\n if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) {\n currentSliderIdx = 0;\n slider.value = '0';\n updateSliderLabel();\n if (plot) plot.redraw();\n }\n startPlaying();\n }\n });\n\n document.getElementById('btn-combined-cart')?.addEventListener('click', () => {\n if (isPolar) {\n isPolar = false;\n renderCombined(currentTrack);\n }\n });\n\n document.getElementById('btn-combined-polar')?.addEventListener('click', () => {\n if (!isPolar) {\n isPolar = true;\n renderCombined(currentTrack);\n }\n });\n\n updatePlot();\n}\n\nexport function resizeCombined() {\n const container = document.getElementById('tab-combined');\n const plotContainer = document.getElementById('combined-plot-container');\n if (plot && plotContainer && plotContainer.clientWidth > 0) {\n const w = plotContainer.clientWidth;\n const h = plotContainer.clientHeight;\n\n if (w > 0 && h > 0) {\n if (isPolar) {\n const size = Math.min(w, h);\n plot.setSize({ width: size, height: size });\n } else {\n plot.setSize({ width: w, height: h });\n }\n }\n }\n}\n\nfunction showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const track = currentTrack;\n if (!track) return;\n\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n availableMetrics.forEach((key) => {\n const def = metrics[key];\n const item = document.createElement('div');\n const currentVal = axis === 'x' ? xMetric : yMetric;\n item.className = `menu-item ${currentVal === key ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${currentVal === key ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n if (axis === 'x') xMetric = key;\n else yMetric = key;\n\n popup.remove();\n renderCombined(currentTrack); // Re-render to update buttons and plot\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction updatePlot() {\n if (!currentTrack) return;\n const container = document.getElementById('combined-plot-container');\n if (!container) return;\n\n const metrics = ChartView.METRICS;\n const xDef = metrics[xMetric] || metrics.power;\n const yDef = metrics[yMetric] || metrics.hr;\n\n if (currentTracks.length >= 2) {\n let maxLen = 0;\n for (let t = 0; t < currentTracks.length; t++) {\n if (currentTracks[t].points.length > maxLen) maxLen = currentTracks[t].points.length;\n }\n const xData: number[] = new Array(maxLen);\n for (let i = 0; i < maxLen; i++) xData[i] = i;\n\n const seriesList: uPlot.Series[] = [{}];\n const dataArrays: (number | null)[][] = [xData];\n\n for (let t = 0; t < currentTracks.length; t++) {\n const trk = currentTracks[t];\n const pts = trk.points;\n const yArr: (number | null)[] = new Array(maxLen);\n for (let i = 0; i < maxLen; i++) {\n const p = pts[i];\n yArr[i] = p && (p as any)[yDef.field] != null ? (p as any)[yDef.field] : null;\n }\n dataArrays.push(yArr);\n seriesList.push({\n label: `${trk.displayName || trk.name} (${yDef.label})`,\n stroke: trk.color || '#3b82f6',\n width: 2,\n points: { show: false },\n });\n }\n\n if (plot) {\n plot.destroy();\n plot = null;\n }\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n const width = container.clientWidth > 0 ? container.clientWidth : 800;\n const height = container.clientHeight > 0 ? container.clientHeight : 350;\n\n const opts: uPlot.Options = {\n width,\n height,\n padding: [10, 15, 0, 0],\n scales: { x: { time: false }, y: { auto: true } },\n series: seriesList,\n axes: [\n {\n side: 2,\n label: 'Elapsed Duration (s)',\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n side: 3,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n legend: { show: true },\n };\n\n plot = new uPlot(opts, dataArrays as uPlot.AlignedData, container as HTMLElement);\n resizeCombined();\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts[0].time || 0;\n const chronoData = pts\n .map((p, idx) => [\n (p as any)[xDef.field],\n (p as any)[yDef.field],\n (p.time! - t0) / 1000,\n (p.dist || 0) / 1000,\n idx,\n ])\n .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][];\n\n if (chronoData.length === 0) {\n container.innerHTML =\n '
No data for selected metrics
';\n return;\n }\n\n if (isPolar) {\n const xVals = chronoData.map((d) => d[0]);\n const yVals = chronoData.map((d) => d[1]);\n const xMin = Math.min(...xVals);\n const xMax = Math.max(...xVals);\n const yMin = Math.min(...yVals);\n const yMax = Math.max(...yVals);\n\n currentChronoData = chronoData.map((d) => {\n const xVal = d[0];\n const yVal = d[1];\n const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI;\n const r = (yVal - yMin) / (yMax - yMin || 1);\n const px = r * Math.cos(theta);\n const py = r * Math.sin(theta);\n return [px, py, d[2], d[3], d[4], xVal, yVal] as any;\n });\n } else {\n currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any);\n }\n\n // Update slider\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n if (slider) {\n slider.max = `${chronoData.length - 1}`;\n if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) {\n currentSliderIdx = chronoData.length - 1;\n slider.value = slider.max;\n }\n updateSliderLabel();\n }\n\n // Sort by X for uPlot (with original point index tie-breaker)\n currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]);\n\n const xData = currentSortedData.map((d) => d[0]);\n const yData = currentSortedData.map((d) => d[1]);\n\n const plotContainer = document.getElementById('combined-plot-container');\n let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600;\n let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400;\n\n if (isPolar) {\n const size = Math.min(width, height > 0 ? height : width);\n width = size;\n height = size;\n\n if (plotContainer) {\n plotContainer.style.display = 'flex';\n plotContainer.style.alignItems = 'center';\n plotContainer.style.justifyContent = 'center';\n }\n } else if (plotContainer) {\n plotContainer.style.display = '';\n plotContainer.style.alignItems = '';\n plotContainer.style.justifyContent = '';\n }\n\n const opts: uPlot.Options = {\n width: width,\n height: height,\n padding: [10, 15, 0, 0],\n scales: {\n x: { time: false, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: yDef.label,\n width: 0,\n points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) },\n },\n ],\n axes: [\n {\n side: 2, // bottom\n show: !isPolar,\n label: `${xDef.label} (${xDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')),\n size: 30,\n },\n {\n side: 3, // left\n show: !isPolar,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')),\n size: 40,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => {\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let closestIdx = -1;\n\n for (let i = 0; i < currentSortedData.length; i++) {\n const [xVal, yVal] = currentSortedData[i];\n const cx = u.valToPos(xVal, 'x');\n const cy = u.valToPos(yVal, 'y');\n\n const dx = cx - cursorLeft;\n const dy = cy - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n closestIdx = i;\n }\n }\n\n // Only snap if within a reasonable distance (e.g. 50 pixels)\n if (closestIdx >= 0 && minD2 < 2500) return closestIdx;\n }\n return dataIdx;\n },\n points: {\n size: 7,\n stroke: '#fff',\n width: 2,\n fill: yDef.color,\n },\n },\n legend: { show: false },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Draw faint lines connecting points in chronological order\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)';\n ctx.lineWidth = 1 * dpr;\n\n let started = false;\n for (let i = 0; i < currentChronoData.length; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n if (started) {\n ctx.lineTo(cx, cy);\n } else {\n ctx.moveTo(cx, cy);\n started = true;\n }\n }\n ctx.stroke();\n ctx.restore();\n\n // Draw trail if slider is active\n if (currentSliderIdx !== null) {\n ctx.save();\n const windowSize = 100; // Longer trail\n const startIdx = Math.max(0, currentSliderIdx - windowSize);\n const endIdx = currentSliderIdx;\n\n // 1. Draw increasingly thicker connection line for the trail\n for (let i = startIdx; i < endIdx; i++) {\n const [xVal1, yVal1] = currentChronoData[i];\n const [xVal2, yVal2] = currentChronoData[i + 1];\n const cx1 = u.valToPos(xVal1, 'x', true);\n const cy1 = u.valToPos(yVal1, 'y', true);\n const cx2 = u.valToPos(xVal2, 'x', true);\n const cy2 = u.valToPos(yVal2, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const lineWidth = 1 + 5 * progress; // Grow from 1 to 6\n const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75\n\n ctx.beginPath();\n ctx.moveTo(cx1, cy1);\n ctx.lineTo(cx2, cy2);\n ctx.strokeStyle = hexToRgba(yDef.color, alpha);\n ctx.lineWidth = lineWidth * dpr;\n ctx.stroke();\n }\n\n // 2. Draw dots on top\n for (let i = startIdx; i <= endIdx; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const size = 3 + 7 * progress; // Grow from 3 to 10\n const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15\n\n ctx.beginPath();\n ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2);\n ctx.fillStyle = hexToRgba(yDef.color, fillAlpha);\n ctx.fill();\n\n ctx.strokeStyle = yDef.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n\n let tooltip = document.getElementById('combined-tooltip');\n if (!tooltip) {\n tooltip = document.createElement('div');\n tooltip.id = 'combined-tooltip';\n tooltip.style.position = 'absolute';\n tooltip.style.background = 'rgba(14, 14, 16, 0.9)';\n tooltip.style.color = '#fff';\n tooltip.style.padding = '8px 12px';\n tooltip.style.borderRadius = '4px';\n tooltip.classList.add('font-m');\n tooltip.style.fontFamily = 'system-ui';\n tooltip.style.pointerEvents = 'none';\n tooltip.style.zIndex = '1000';\n tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';\n tooltip.style.border = '1px solid #2e2e34';\n document.body.appendChild(tooltip);\n }\n\n if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) {\n const d = currentSortedData[idx];\n const timeSecs = d[2];\n const distKm = d[3];\n const origX = d[5];\n const origY = d[6];\n\n tooltip.innerHTML = `\n
Point #${idx}
\n
\n Time:\n ${fmtSecs(timeSecs)}\n
\n
\n Distance:\n ${distKm.toFixed(2)} km\n
\n
\n ${xDef.label}:\n ${xDef.fmtAxis(origX)} ${xDef.unit}\n
\n
\n ${yDef.label}:\n ${yDef.fmtAxis(origY)} ${yDef.unit}\n
\n `;\n tooltip.style.display = 'block';\n\n const canvasRect = u.over.getBoundingClientRect();\n tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`;\n tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`;\n } else {\n tooltip.style.display = 'none';\n }\n },\n ],\n },\n };\n\n // Clear container before rendering (except when uPlot does it)\n // uPlot handles its own canvas, but we need to clear any previous empty state message\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n if (plot) plot.destroy();\n\n plot = new uPlot(opts, [xData, yData], container);\n\n plot.over.addEventListener('click', () => {\n if (plot) {\n const idx = plot.cursor.idx;\n if (idx != null && currentSortedData[idx]) {\n const originalIdx = currentSortedData[idx][4];\n ChartView.setCursorAt(originalIdx);\n }\n }\n });\n\n // Ensure initial size is set synchronously\n resizeCombined();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { UrlState } from '../url-state';\nimport {\n computeAccumulatedMetric,\n renderAccumulatedTable,\n renderAccumulatedProgressSummary,\n} from './accumulated_progress';\n\nlet evolutionPlots: uPlot[] = [];\nlet activeEvolutionCards: any[] = [];\nlet currentEvolutionGrouping: 'week' | 'month' = 'week';\n\nfunction destroyEvolutionPlots() {\n evolutionPlots.forEach((p) => p.destroy());\n evolutionPlots = [];\n activeEvolutionCards = [];\n}\n\nexport function resetEvolution() {\n destroyEvolutionPlots();\n currentEvolutionGrouping = 'week';\n const container = document.getElementById('evolution-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for progress analysis
\n
\n `;\n }\n}\n\nexport function setEvolutionGrouping(grouping: 'week' | 'month') {\n currentEvolutionGrouping = grouping;\n activeEvolutionCards.forEach((c) => {\n if (c && c.updateGrouping) c.updateGrouping(grouping);\n });\n}\n\nexport function setEvolutionRange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n const toolbarRangeCtrl = document.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((b) => {\n b.classList.toggle('active', b.getAttribute('data-range') === range);\n });\n }\n activeEvolutionCards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n}\n\nexport function setEvolutionPinnedDuration(dur: number | null) {\n activeEvolutionCards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n}\n\nconst EVO_CAP = 16384;\nconst evoPwrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoHrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoSpdPrefix = new Float64Array(EVO_CAP + 1);\nconst evoStressArr = new Float64Array(EVO_CAP);\nconst evoDailyTrimp = new Float64Array(365);\nconst envelopeDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 360, 450, 600, 750, 900, 1200,\n];\n\nexport function renderEvolution(\n currentTrack: TrackData | null,\n allTracks: TrackData[],\n onTrackSelect?: (id: string, range: [number, number] | null) => void,\n onDateRangeSelect?: (start: string, end: string) => void,\n) {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (!container) return;\n\n let currentRange = UrlState.get().progress || 'all';\n\n // Ensure duration curves and zones are available on all tracks\n allTracks.forEach((track) => {\n Parsers.ensureCurvesAndZones(track);\n });\n\n // Single-pass Banister impulse-response training load (ATL / CTL / TSB) and historical curve envelope\n let totalFatigue = 0;\n let totalFitness = 0;\n evoDailyTrimp.fill(0);\n\n for (let ti = 0; ti < allTracks.length; ti++) {\n const pts = allTracks[ti].points || [];\n const n = Math.min(pts.length, EVO_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const el = p.ele || 0;\n evoPwrPrefix[i + 1] = evoPwrPrefix[i] + pw;\n evoHrPrefix[i + 1] = evoHrPrefix[i] + h;\n evoSpdPrefix[i + 1] = evoSpdPrefix[i] + sp;\n const hrRatio = Math.max(0, Math.min(1.2, (h - 60) / 135));\n evoStressArr[i] = pw * 1.5 + h + hrRatio * (1 + 1.92 * hrRatio) * 10 + el * 0.02;\n }\n\n for (let di = 0; di < envelopeDurations.length; di++) {\n const d = envelopeDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxH = 0;\n for (let j = 0; j <= limit; j++) {\n const dh = evoHrPrefix[j + d] - evoHrPrefix[j];\n const sp = evoPwrPrefix[j + d] - evoPwrPrefix[j];\n if (sp > maxP) maxP = sp;\n if (dh > maxH) maxH = dh;\n }\n totalFitness += ((maxP + maxH + evoSpdPrefix[limit]) / d) * 1e-3;\n }\n\n const alphaA = 2 / 8;\n const oneMinusA = 1 - alphaA;\n const alphaC = 2 / 43;\n const oneMinusC = 1 - alphaC;\n const hrRest = 52;\n const invHrSpan = 1 / (195 - hrRest);\n let atl = 0;\n let ctl = 0;\n for (let i = 0; i < n; i++) {\n const h = evoHrPrefix[i + 1] - evoHrPrefix[i];\n const hrRatio = Math.max(0, (h - hrRest) * invHrSpan);\n const kh = 1.92 * hrRatio;\n const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * (1 + kh * (1 + 0.5 * kh)) * 15;\n atl = alphaA * trimp + oneMinusA * atl;\n ctl = alphaC * trimp + oneMinusC * ctl;\n }\n totalFatigue += atl * 0.01;\n totalFitness += ctl * 0.01;\n\n const dayIdx = (ti * 57) % 365;\n evoDailyTrimp[dayIdx] += evoPwrPrefix[n] * 1e-3 + evoHrPrefix[n] * 1e-3;\n }\n\n let atl365 = 0;\n let ctl365 = 0;\n for (let day = 0; day < 365; day++) {\n const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15);\n atl365 = atl365 * 0.86 + load * 0.14;\n ctl365 = ctl365 * 0.976 + load * 0.024;\n }\n totalFatigue += atl365 * 1e-3;\n totalFitness += ctl365 * 1e-3;\n\n container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1);\n const cards: any[] = [];\n activeEvolutionCards = cards;\n container.innerHTML = `\n
\n
\n
\n \n \n \n \n
\n
\n
\n
\n \n \n \n \n \n \n
\n
\n
\n
\n `;\n\n const grid = document.getElementById('evolution-container');\n if (!grid) return;\n\n grid.insertAdjacentHTML('beforeend', renderAccumulatedProgressSummary(allTracks));\n\n const gridWidth = grid.clientWidth || 570;\n\n const progressSync = uPlot.sync('progress-sync');\n cards.push(\n renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth),\n );\n cards.push(\n renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth),\n );\n\n const distanceScroll = grid.querySelector(\n '.distance-progress-card .chart-scroll-container',\n ) as HTMLElement;\n const elevationScroll = grid.querySelector(\n '.elevation-progress-card .chart-scroll-container',\n ) as HTMLElement;\n\n if (distanceScroll && elevationScroll) {\n distanceScroll.addEventListener('scroll', () => {\n if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft)\n elevationScroll.scrollLeft = distanceScroll.scrollLeft;\n });\n elevationScroll.addEventListener('scroll', () => {\n if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft)\n distanceScroll.scrollLeft = elevationScroll.scrollLeft;\n });\n }\n\n const toolbarRangeCtrl = container.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => {\n btn.addEventListener('click', () => {\n const range = btn.getAttribute('data-range');\n if (range) {\n toolbarRangeCtrl\n .querySelectorAll('.seg-btn')\n .forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n onRangeChange(range);\n }\n });\n });\n }\n\n const pills = container.querySelectorAll('.metric-pill');\n pills.forEach((pill) => {\n pill.addEventListener('click', () => {\n const target = pill.getAttribute('data-target');\n if (target) {\n const targetEl = document.getElementById(`${target}-evolution-card`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n });\n });\n\n function onPinChange(dur: number | null) {\n cards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n }\n\n function onRangeChange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n }\n\n if (allTracks.some((t) => t.stats.powerCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'power',\n label: 'Power Curve Progress',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n if (allTracks.some((t) => t.stats.hrCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'hr',\n label: 'Heart Rate Curve Progress',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n // Apply initial range when filtered\n if (currentRange !== 'all') {\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(currentRange);\n });\n }\n\n evolutionPlots.forEach((p) => {\n (p as any)._ready = true;\n });\n}\n\ninterface CurveEvolutionCardOptions {\n grid: HTMLElement;\n currentTrack: TrackData | null;\n allTracks: TrackData[];\n metricKey: 'power' | 'hr';\n label: string;\n unit: string;\n color: string;\n icon: string;\n onPinChange: (dur: number | null) => void;\n onRangeChange: (range: string) => void;\n onTrackSelect?: (id: string, range: [number, number] | null) => void;\n gridWidth?: number;\n}\n\nfunction renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) {\n const {\n grid,\n currentTrack,\n allTracks,\n metricKey,\n label,\n unit,\n color,\n icon,\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n } = opts;\n\n const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track';\n\n let mainChart: uPlot | null = null;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = 'chart-row evolution-card-group';\n cardContainer.id = `${metricKey}-evolution-card`;\n grid.appendChild(cardContainer);\n\n const row1 = document.createElement('div');\n row1.className = 'chart-row progress-chart-row';\n row1.style.setProperty('--chart-color', color);\n row1.style.flex = '0 0 400px';\n row1.style.borderBottom = 'none';\n row1.innerHTML = `\n
\n
\n ${icon}\n ${label}\n
\n
\n
\n
\n
\n `;\n\n const legendEl = document.createElement('div');\n legendEl.className = 'evolution-legend';\n legendEl.innerHTML = `\n
\n \n ${trackName}\n
\n
\n \n All-Time Max\n
\n `;\n\n const urlState = UrlState.get();\n let currentRange = urlState.progress || 'all';\n\n const row2 = document.createElement('div');\n row2.className = 'chart-row progress-chart-row';\n row2.style.setProperty('--chart-color', color);\n row2.style.flex = '1';\n row2.style.borderBottom = 'none';\n row2.innerHTML = `\n
\n
\n ${icon}\n Progress ${metricKey === 'power' ? 'Power' : 'HR'}\n
\n
\n
\n
\n
\n `;\n\n const sideBySide = document.createElement('div');\n sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;';\n sideBySide.appendChild(row1);\n sideBySide.appendChild(row2);\n\n cardContainer.appendChild(sideBySide);\n cardContainer.appendChild(legendEl);\n\n const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement;\n if (!chartEl) return;\n\n // 1. Compute global max curve\n const maxCurve: Record<\n number,\n { val: number; trackInfo: string; trackId?: string; idx?: number }\n > = {};\n allTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n const name = t.name || 'Unnamed Track';\n const date =\n t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date';\n const trackInfo = `${name} (${date})`;\n\n Object.entries(curve).forEach(([dur, data]) => {\n const d = Number(dur);\n const val = (data as any).power || (data as any).hr;\n if (!maxCurve[d] || val > maxCurve[d].val)\n maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx };\n });\n });\n\n // 2. Get current track curve\n const currentCurve =\n (currentTrack &&\n (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) ||\n {};\n\n // 3. Combine durations\n const allDurations = new Set();\n Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d)));\n Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d)));\n const durations = Array.from(allDurations).sort((a, b) => a - b);\n\n const xData = durations;\n const yDataCurrent = durations.map((d) => {\n const entry = currentCurve[d];\n return entry ? (entry as any).power || (entry as any).hr : null;\n });\n const yDataMax = durations.map((d) => maxCurve[d]?.val || null);\n\n // Precompute timeline data for all tracks\n const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null);\n validTracks.sort(\n (a, b) =>\n (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) ||\n a.id.localeCompare(b.id),\n );\n\n const xTimeline: number[] = [];\n const yTimelineData: Record = {};\n durations.forEach((d) => (yTimelineData[d] = []));\n\n validTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n\n xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds\n durations.forEach((d) => {\n const entry = curve[d];\n const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null;\n yTimelineData[d].push(val);\n });\n });\n\n let currentDur = durations[0] || 5;\n let tracksFiltered = validTracks;\n let pinnedDur: number | null = null;\n\n function getFilteredData(dur: number, range: string) {\n const maxTime = xTimeline[xTimeline.length - 1] || 1785542400;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600;\n\n const filteredIndices: number[] = [];\n xTimeline.forEach((t, idx) => {\n if (t >= minTime) filteredIndices.push(idx);\n });\n\n const xFiltered = filteredIndices.map((i) => xTimeline[i]);\n const rawY = yTimelineData[dur] || [];\n const rawYFiltered = filteredIndices.map((i) => rawY[i]);\n const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5);\n tracksFiltered = filteredIndices.map((i) => validTracks[i]);\n\n return { xFiltered, rawYFiltered, smoothedYFiltered };\n }\n\n let timelineChart: uPlot | null = null;\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val font-m';\n curYVal.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const renderCharts = () => {\n const optsUPlot: uPlot.Options = {\n id: `${metricKey}-evolution`,\n width: 400,\n height: 250,\n padding: [0, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: 'Current Track',\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n {\n label: 'All-Time Max',\n stroke: '#888888',\n width: 1,\n fill: 'transparent',\n points: { show: true, size: 6, fill: '#888888' },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n x: false,\n y: false,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n\n // Draw pinned duration circle\n if (pinnedDur !== null) {\n const idx = xData.indexOf(pinnedDur);\n if (idx >= 0) {\n const pcx = u.valToPos(pinnedDur, 'x', true);\n const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]);\n const curVal = yDataCurrent[idx];\n const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr;\n const dotColor = curVal !== null ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n }\n\n ctx.restore();\n },\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(\n activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!,\n 'y',\n true,\n );\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr;\n const dotColor = activeSeriesIdx === 1 ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n const xValStr = fmtDuration(xData[idx!]);\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n // X Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!;\n const yValStr = `${yVal.toFixed(0)} ${unit}`;\n const yValWidth = ctx.measureText(yValStr).width;\n const ybw = yValWidth + 10 * dpr;\n\n const yLabelX = bb.left - ybw - 2 * dpr; // To the left\n const yLabelY = pcy - pillH / 2;\n\n // Y Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr);\n else ctx.rect(yLabelX, yLabelY, ybw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'left';\n ctx.textBaseline = 'middle';\n ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n const hasFocus = idx != null && xData[idx] != null;\n\n if (hasFocus) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null\n\n const durVal = xData[idx!];\n const curVal = yDataCurrent[idx!];\n const mxVal = yDataMax[idx!];\n\n let html = `
${fmtDuration(durVal)}
`;\n if (curVal !== null) {\n html += `\n
\n Current:\n ${curVal} ${unit}\n
\n `;\n }\n if (mxVal !== null) {\n html += `\n
\n Max:\n ${mxVal} ${unit}\n
\n `;\n }\n\n curYVal.innerHTML = html;\n\n if (timelineChart) {\n if (pinnedDur === null) {\n currentDur = durVal;\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([\n xFiltered,\n rawYFiltered,\n smoothedYFiltered,\n lowerBound,\n upperBound,\n ]);\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n }\n }\n curYVal.style.display = '';\n curYVal.style.left = `${cursorLeft! + bb.left}px`;\n curYVal.style.top = `${cursorTop! + bb.top}px`;\n curYVal.style.transform = 'translate(5px, -50%)';\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n };\n\n mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl);\n evolutionPlots.push(mainChart);\n\n chartEl.addEventListener('click', () => {\n if (!mainChart) return;\n const idx = mainChart.cursor.idx;\n if (idx != null) {\n const clickedDur = xData[idx];\n let newPinnedDur: number | null = null;\n if (pinnedDur !== null) newPinnedDur = null;\n else newPinnedDur = clickedDur;\n\n onPinChange(newPinnedDur);\n\n // Also select the range for the current track if available\n if (currentTrack) {\n const stats = currentTrack.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[clickedDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = clickedDur;\n const startPt = currentTrack.points[bestIdx];\n const endPt = currentTrack.points[bestIdx + duration - 1];\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = currentTrack.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n onTrackSelect?.(currentTrack.id, [min, max]);\n }\n }\n }\n }\n }\n });\n\n chartEl.addEventListener('mouseleave', () => {\n if (mainChart) mainChart.redraw();\n });\n\n // 4. Add expandable table\n const detailsEl = document.createElement('details');\n detailsEl.classList.add('progress-details');\n detailsEl.style.marginTop = '0px';\n detailsEl.style.setProperty('--chart-color', color);\n detailsEl.innerHTML = `\n \n chevron_right\n table_chart\n Data Table\n \n \n \n \n \n \n \n \n \n \n ${durations\n .map((d) => {\n const cur = currentCurve[d]\n ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr\n : '-';\n const mx = maxCurve[d]?.val || '-';\n const mxId = maxCurve[d]?.trackId;\n const mxIdx = maxCurve[d]?.idx;\n return `\n \n \n \n \n \n `;\n })\n .join('')}\n \n
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit}\n ${mx} ${unit}\n ${mxId ? `` : ''}\n
\n `;\n cardContainer.appendChild(detailsEl);\n\n detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n const id = btn.getAttribute('data-id');\n const idx = btn.getAttribute('data-idx');\n const dur = btn.getAttribute('data-dur');\n if (id) {\n document.dispatchEvent(\n new CustomEvent('select-track', {\n detail: {\n id,\n idx: idx ? Number(idx) : null,\n dur: dur ? Number(dur) : null,\n },\n }),\n );\n }\n });\n });\n\n let lastNearestIdx: number | null = null;\n\n // 5. Render timeline chart\n const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement;\n if (timelineEl) {\n timelineEl.style.position = 'relative';\n const timelineTooltip = document.createElement('div');\n timelineTooltip.className = 'timeline-tooltip font-m';\n timelineTooltip.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n timelineEl.appendChild(timelineTooltip);\n\n if (xTimeline.length > 0) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound];\n\n const series: any[] = [\n {\n value: (u: any, v: number) => {\n if (v != null) return fmtDate(v * 1000);\n\n return '-';\n },\n },\n {\n label: 'Value',\n stroke: color,\n width: 0,\n points: { show: true, size: 6, fill: hexToRgba(color, 0.5) },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n points: { show: false },\n spanGaps: true,\n fill: 'transparent',\n dash: [5, 5],\n },\n {\n label: 'Lower Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n {\n label: 'Upper Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n ];\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n\n const optsTimeline: uPlot.Options = {\n width: Math.max(100, (gridWidth || 570) - 400),\n height: 250,\n padding: [0, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n cursor: {\n points: {\n show: false,\n },\n drag: { setScale: false },\n x: false,\n y: false,\n },\n scales: {\n x: {\n time: true,\n range: (u) => {\n const min = u.data[0][0];\n const max = u.data[0][u.data[0].length - 1];\n if (min === undefined || max === undefined) return [0, 100];\n\n if (min === max) return [min - 3600, max + 3600];\n\n return [min, max];\n },\n },\n y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] },\n },\n series: series,\n bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }],\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n if (lastNearestIdx != null) {\n const track = tracksFiltered[lastNearestIdx];\n if (track) {\n const stats = track.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[currentDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = currentDur;\n\n const startPt = track.points[bestIdx];\n const endPt = track.points[bestIdx + duration - 1];\n\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = track.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n\n opts.onTrackSelect?.(track.id, [min, max]);\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n }\n }\n });\n },\n ],\n draw: [\n (u: uPlot) => {\n let idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const val = u.data[1][idx];\n if (val != null) {\n const tpcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const tpcy = u.valToPos(val, 'y', true);\n\n const tctx = u.ctx;\n const tdpr = window.devicePixelRatio || 1;\n\n // Draw lines\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([2 * tdpr, 2 * tdpr]);\n tctx.strokeStyle = hexToRgba(color, 0.4);\n tctx.lineWidth = 1 * tdpr;\n // Vertical line\n tctx.moveTo(tpcx, u.bbox.top);\n tctx.lineTo(tpcx, u.bbox.top + u.bbox.height);\n // Horizontal line\n tctx.moveTo(u.bbox.left, tpcy);\n tctx.lineTo(u.bbox.left + u.bbox.width, tpcy);\n tctx.stroke();\n tctx.restore();\n\n // Draw hover halo\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([]); // Reset to solid\n tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = hexToRgba(color, 0.2);\n tctx.fill();\n tctx.restore();\n\n // Draw center circle\n tctx.save();\n tctx.beginPath();\n tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = color;\n tctx.fill();\n tctx.strokeStyle = '#fff';\n tctx.lineWidth = 2 * tdpr;\n tctx.stroke();\n tctx.restore();\n\n // Draw axis labels\n tctx.save();\n tctx.setLineDash([]); // Reset to solid\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`;\n const dateWidth = tctx.measureText(dateStr).width;\n const xbw = dateWidth + 10 * tdpr;\n const pillH = 16 * tdpr;\n\n const xLabelX = tpcx - xbw / 2;\n const clampedXBx = Math.max(\n u.bbox.left,\n Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX),\n );\n const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr;\n\n // X Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr);\n else tctx.rect(clampedXBx, xLabelY, xbw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'center';\n tctx.textBaseline = 'middle';\n tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const valStr = `${val.toFixed(0)} ${unit}`;\n const valWidth = tctx.measureText(valStr).width;\n const ybw = valWidth + 10 * tdpr;\n\n const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left\n const yLabelY = tpcy - pillH / 2;\n\n // Y Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr);\n else tctx.rect(yLabelX, yLabelY, ybw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'left';\n tctx.textBaseline = 'middle';\n tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2);\n\n tctx.restore();\n }\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n const bb = u.bbox;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n const xData = u.data[0];\n const yData = u.data[1];\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const y = yData[i];\n if (x == null || y == null) continue;\n\n const px = u.valToPos(x, 'x', false);\n const py = u.valToPos(y, 'y', false);\n\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n }\n }\n\n if (minD2 <= maxD2) {\n idx = nearestIdx;\n lastNearestIdx = nearestIdx;\n } else {\n idx = null;\n lastNearestIdx = null;\n }\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const track = tracksFiltered[idx];\n const cx = u.valToPos(u.data[0][idx], 'x', false);\n const cy = u.valToPos(u.data[1][idx]!, 'y', false);\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n\n const val = u.data[1][idx];\n const valStr = val != null ? `${val} ${unit}` : '\u2014';\n\n timelineTooltip.innerHTML = `\n
\n Date:\n ${dateStr}\n
\n
\n Value:\n ${valStr}\n
\n `;\n timelineTooltip.style.display = 'block';\n timelineTooltip.style.left = `${cursorLeft! + bb.left}px`;\n timelineTooltip.style.top = `${cursorTop! + bb.top}px`;\n timelineTooltip.style.transform = 'translate(5px, -50%)';\n } else {\n timelineTooltip.style.display = 'none';\n }\n },\n ],\n },\n axes: [\n {\n space: 50,\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n show: true,\n font: '10px system-ui, sans-serif',\n size: 30,\n values: (u: any, vals: any[]) =>\n vals.map((v) => {\n const d = new Date(v * 1000);\n return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`;\n }),\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n font: '10px system-ui, sans-serif',\n values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`),\n show: true,\n space: 15,\n size: 50,\n },\n ],\n };\n\n timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl);\n evolutionPlots.push(timelineChart);\n\n timelineEl.addEventListener('mouseleave', () => {\n timelineChart!.redraw();\n });\n\n // Range control moved to toolbar\n } else {\n timelineEl.innerHTML = '
No data for the past year
';\n }\n }\n };\n renderCharts();\n\n return {\n updatePin: (dur: number | null) => {\n pinnedDur = dur;\n if (dur !== null) currentDur = dur;\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`;\n\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n if (mainChart) mainChart.redraw();\n },\n updateRange: (range: string) => {\n currentRange = range;\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n },\n };\n}\n\nfunction getWeekStart(date: Date): Date {\n const d = new Date(date);\n const day = d.getUTCDay();\n const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday\n d.setUTCDate(diff);\n d.setUTCHours(0, 0, 0, 0);\n return d;\n}\n\nfunction computeWeeklyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 };\n\n weeklyData[weekKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeWeeklyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey])\n weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 };\n\n weeklyData[weekKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeMonthlyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const monthlyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n const date = new Date(t.stats.startTime);\n const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1));\n const monthKey = monthStart.toISOString().slice(0, 7);\n if (!monthlyData[monthKey]) {\n monthlyData[monthKey] = { timestamp: monthStart.getTime(), distance: 0 };\n }\n monthlyData[monthKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(monthlyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeMonthlyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const monthlyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n const date = new Date(t.stats.startTime);\n const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1));\n const monthKey = monthStart.toISOString().slice(0, 7);\n if (!monthlyData[monthKey]) {\n monthlyData[monthKey] = { timestamp: monthStart.getTime(), elevation: 0 };\n }\n monthlyData[monthKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(monthlyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction renderProgressCard(\n grid: HTMLElement,\n allTracks: TrackData[],\n type: 'distance' | 'elevation',\n syncKey?: any,\n onDateRangeSelect?: (start: string, end: string) => void,\n gridWidth?: number,\n) {\n const isDistance = type === 'distance';\n let activeGrouping: 'week' | 'month' = currentEvolutionGrouping;\n let activeRange = UrlState.get().progress || 'all';\n const weeklySource = isDistance\n ? computeWeeklyDistance(allTracks)\n : computeWeeklyElevation(allTracks);\n const monthlySource = isDistance\n ? computeMonthlyDistance(allTracks)\n : computeMonthlyElevation(allTracks);\n let weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource;\n const accumulated = computeAccumulatedMetric(allTracks, (t) =>\n isDistance ? t.stats.totalDist : t.stats.elevGain,\n );\n const color = isDistance ? Metrics.distance.color : Metrics.elevation.color;\n const unit = isDistance ? 'km' : 'm';\n const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = `chart-row ${type}-progress-card`;\n cardContainer.id = `${type}-evolution-card`;\n\n cardContainer.innerHTML = `\n
\n
\n ${icon}\n ${isDistance ? 'Distance Progress' : 'Elevation Progress'}\n
\n
\n
\n
\n
\n
\n
\n
\n ${renderAccumulatedTable(accumulated, isDistance, unit)}\n
\n
\n `;\n\n grid.appendChild(cardContainer);\n\n const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement;\n const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement;\n\n if (!chartEl || !yAxisEl) return;\n\n chartEl.style.position = 'relative';\n\n // Use inline tooltip style\n const tooltip = document.createElement('div');\n tooltip.className = 'cur-y-val';\n tooltip.style.cssText = `color:${color};display:none`;\n chartEl.appendChild(tooltip);\n\n const xData = weeklyData.map((d) => d.timestamp / 1000);\n const yData = isDistance\n ? (weeklyData as any[]).map((d) => d.distance / 1000)\n : (weeklyData as any[]).map((d) => d.elevation);\n\n if (xData.length === 0) return;\n\n const yDataSmoothed = gaussianSmooth(yData, 2);\n\n const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20);\n const width = Math.max(chartClientW, xData.length * 40);\n const maxVal = Math.max(...yData) * 1.1;\n\n const mainOpts: uPlot.Options = {\n width: width,\n height: 150,\n padding: [10, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n scales: {\n x: { time: true },\n y: { range: [0, maxVal] },\n },\n series: [\n {},\n {\n label: isDistance ? 'Distance' : 'Elevation',\n stroke: color,\n fill: hexToRgba(color, 0.1),\n width: 2,\n points: { show: true, size: 4 },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n dash: [5, 5],\n points: { show: false },\n },\n ],\n cursor: {\n sync: syncKey ? { key: syncKey.key } : undefined,\n drag: { x: false, y: false },\n points: { show: false },\n x: false,\n y: false,\n },\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null) {\n const item = weeklyData[idx];\n if (item) {\n const start = new Date(item.timestamp);\n const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week\n const startStr = start.toISOString().split('T')[0];\n const endStr = end.toISOString().split('T')[0];\n onDateRangeSelect?.(startStr, endStr);\n }\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n const idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (\n idx != null &&\n cursorLeft != null &&\n cursorTop != null &&\n cursorLeft >= 0 &&\n cursorTop >= 0\n ) {\n const val = u.data[1][idx];\n const valStr =\n val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '\u2014';\n\n tooltip.innerHTML = valStr;\n tooltip.style.display = 'block';\n tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`;\n tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`;\n tooltip.style.transform = 'translate(6px, -50%)';\n } else {\n tooltip.style.display = 'none';\n }\n\n u.redraw(false);\n },\n ],\n draw: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(u.data[1][idx]!, 'y', true);\n const dpr = window.devicePixelRatio || 1;\n const ctx = u.ctx;\n const bb = u.bbox;\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = color;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n // X Label Pill\n const d = new Date(u.data[0][idx]! * 1000);\n const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n },\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n space: 40,\n values: (self, splits) =>\n splits.map((s) => {\n const d = new Date(s * 1000);\n return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`;\n }),\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`),\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n };\n\n const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl);\n evolutionPlots.push(mainChart);\n\n const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement;\n if (scrollContainer && xData.length * 40 > width)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n\n function applySeriesData() {\n weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource;\n const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000;\n let minTime = 0;\n\n if (activeRange === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000;\n else if (activeRange === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000;\n else if (activeRange === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000;\n else if (activeRange === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000;\n else if (activeRange === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000;\n\n const filteredData = weeklyData.filter((d) => d.timestamp >= minTime);\n\n const newXData = filteredData.map((d) => d.timestamp / 1000);\n const newYData = isDistance\n ? (filteredData as any[]).map((d) => d.distance / 1000)\n : (filteredData as any[]).map((d) => d.elevation);\n const newYDataSmoothed = gaussianSmooth(newYData, 2);\n\n const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40);\n const newMaxVal = Math.max(1, ...newYData) * 1.1;\n\n mainChart.setSize({ width: newWidth, height: 150 });\n mainChart.setScale('y', { min: 0, max: newMaxVal });\n mainChart.setData([newXData, newYData, newYDataSmoothed]);\n\n if (scrollContainer)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n }\n\n return {\n updateRange: (range: string) => {\n activeRange = range;\n applySeriesData();\n },\n updateGrouping: (grouping: 'week' | 'month') => {\n activeGrouping = grouping;\n applySeriesData();\n },\n };\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData } from '../parsers';\n\nexport interface AccumulatedData {\n currentYear: number;\n pastYear: number;\n past6m: number;\n past1m: number;\n total: number;\n currentYearAvg: number;\n pastYearAvg: number;\n past6mAvg: number;\n past1mAvg: number;\n totalAvg: number;\n}\n\nexport function computeAccumulatedMetric(\n allTracks: TrackData[],\n extractor: (t: TrackData) => number | undefined,\n): AccumulatedData {\n // Derive deterministic reference timestamp from tracks (or fixed UTC fallback)\n let refTs = 0;\n for (let i = 0; i < allTracks.length; i++) {\n const st = allTracks[i].stats?.startTime;\n if (st && st > refTs) refTs = st;\n }\n if (!refTs) refTs = Date.UTC(2026, 7, 1);\n\n const now = new Date(refTs);\n const currentYear = now.getUTCFullYear();\n\n const oneYearAgoMs = Date.UTC(\n currentYear - 1,\n now.getUTCMonth(),\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const sixMonthsAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 6,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const oneMonthAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 1,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n\n let currentYearVal = 0;\n let pastYearVal = 0;\n let past6mVal = 0;\n let past1mVal = 0;\n let totalVal = 0;\n\n let minTime = refTs;\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime) return;\n const val = extractor(t);\n if (val === undefined) return;\n\n totalVal += val;\n\n const time = t.stats.startTime;\n if (time < minTime) minTime = time;\n\n const date = new Date(time);\n\n if (date.getUTCFullYear() === currentYear) currentYearVal += val;\n\n if (time >= oneYearAgoMs) pastYearVal += val;\n\n if (time >= sixMonthsAgoMs) past6mVal += val;\n\n if (time >= oneMonthAgoMs) past1mVal += val;\n });\n\n const msecPerWeek = 7 * 24 * 60 * 60 * 1000;\n const currentYearStart = Date.UTC(currentYear, 0, 1);\n\n const currentYearWeeks = Math.max(0.1, (refTs - currentYearStart) / msecPerWeek);\n const pastYearWeeks = Math.max(0.1, (refTs - oneYearAgoMs) / msecPerWeek);\n const past6mWeeks = Math.max(0.1, (refTs - sixMonthsAgoMs) / msecPerWeek);\n const past1mWeeks = Math.max(0.1, (refTs - oneMonthAgoMs) / msecPerWeek);\n const totalWeeks = Math.max(0.1, (refTs - minTime) / msecPerWeek);\n\n return {\n currentYear: currentYearVal,\n pastYear: pastYearVal,\n past6m: past6mVal,\n past1m: past1mVal,\n total: totalVal,\n currentYearAvg: currentYearVal / currentYearWeeks,\n pastYearAvg: pastYearVal / pastYearWeeks,\n past6mAvg: past6mVal / past6mWeeks,\n past1mAvg: past1mVal / past1mWeeks,\n totalAvg: totalVal / totalWeeks,\n };\n}\n\nexport function renderAccumulatedTable(\n accumulated: AccumulatedData,\n isDistance: boolean,\n unit: string,\n): string {\n const factor = isDistance ? 1000 : 1;\n const format = (val: number) => {\n const formattedVal = isDistance ? val / factor : val;\n return formattedVal.toLocaleString('en-US', {\n minimumFractionDigits: isDistance ? 1 : 0,\n maximumFractionDigits: isDistance ? 1 : 0,\n });\n };\n\n return `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Period${isDistance ? 'Distance' : 'Elevation'}${isDistance ? 'Distance/Week' : 'Elevation/Week'}
Current Year${format(accumulated.currentYear)} ${unit}${format(accumulated.currentYearAvg)} ${unit}
Past Year${format(accumulated.pastYear)} ${unit}${format(accumulated.pastYearAvg)} ${unit}
Past 6 Months${format(accumulated.past6m)} ${unit}${format(accumulated.past6mAvg)} ${unit}
Past 1 Month${format(accumulated.past1m)} ${unit}${format(accumulated.past1mAvg)} ${unit}
Total${format(accumulated.total)} ${unit}${format(accumulated.totalAvg)} ${unit}
\n `;\n}\n\nexport interface MultiMetricAccumulatedSummary {\n distance: AccumulatedData;\n elevation: AccumulatedData;\n durationHours: AccumulatedData;\n tss: AccumulatedData;\n workKj: AccumulatedData;\n climbCount: AccumulatedData;\n}\n\nexport function computeMultiMetricAccumulated(\n allTracks: TrackData[],\n): MultiMetricAccumulatedSummary {\n const distance = computeAccumulatedMetric(allTracks, (t) => t.stats.totalDist);\n const elevation = computeAccumulatedMetric(allTracks, (t) => t.stats.elevGain);\n const durationHours = computeAccumulatedMetric(allTracks, (t) =>\n t.stats.duration ? t.stats.duration / 3600000 : 0,\n );\n const tss = computeAccumulatedMetric(allTracks, (t) => {\n const durSec = (t.stats.duration || 0) / 1000;\n const avgPwr = t.stats.avgPower || 150;\n const ftp = 200;\n const intensityFactor = avgPwr / ftp;\n return ((durSec * avgPwr * intensityFactor) / (ftp * 3600)) * 100;\n });\n const workKj = computeAccumulatedMetric(allTracks, (t) => {\n const durSec = (t.stats.duration || 0) / 1000;\n const avgPwr = t.stats.avgPower || 0;\n return (durSec * avgPwr) / 1000;\n });\n const climbCount = computeAccumulatedMetric(allTracks, (t) => {\n const secs = t.stats.sections || [];\n return secs.filter((s) => s.kind === 'climb').length;\n });\n\n return {\n distance,\n elevation,\n durationHours,\n tss,\n workKj,\n climbCount,\n };\n}\n\nexport function renderAccumulatedProgressSummary(allTracks: TrackData[]): string {\n const summary = computeMultiMetricAccumulated(allTracks);\n const fmt = (v: number, digits = 1) =>\n v.toLocaleString('en-US', {\n minimumFractionDigits: digits,\n maximumFractionDigits: digits,\n });\n\n const rows: {\n label: string;\n unit: string;\n data: AccumulatedData;\n scale: number;\n digits: number;\n }[] = [\n { label: 'Distance', unit: 'km', data: summary.distance, scale: 0.001, digits: 1 },\n { label: 'Elevation Gain', unit: 'm', data: summary.elevation, scale: 1, digits: 0 },\n { label: 'Moving Duration', unit: 'h', data: summary.durationHours, scale: 1, digits: 1 },\n { label: 'Training Stress (TSS)', unit: 'TSS', data: summary.tss, scale: 1, digits: 0 },\n { label: 'Mechanical Work', unit: 'kJ', data: summary.workKj, scale: 1, digits: 0 },\n { label: 'Categorized Climbs', unit: 'climbs', data: summary.climbCount, scale: 1, digits: 0 },\n ];\n\n return `\n
\n
\n
\n monitoring\n Accumulated Longitudinal Progress Summary\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n ${rows\n .map(\n (r) => `\n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
MetricPast 1MPast 6MPast YearCurrent YearTotalWeekly Avg
${r.label}${fmt(r.data.past1m * r.scale, r.digits)} ${r.unit}${fmt(r.data.past6m * r.scale, r.digits)} ${r.unit}${fmt(r.data.pastYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.currentYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.total * r.scale, r.digits)} ${r.unit}${fmt(r.data.totalAvg * r.scale, r.digits)} ${r.unit}/wk
\n
\n `;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 Main Application \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nimport { Storage } from './storage';\nimport { UrlState, AppState } from './url-state';\nimport { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers';\nimport { MapView } from './map';\nimport { ChartView } from './charts';\nimport { renderDetails, initDetails, resetDetails } from './tabs/details';\nimport { renderInsights, initInsights, resetInsights } from './tabs/insights';\nimport {\n renderCombined,\n initCombined,\n resizeCombined,\n resetCombined,\n setCombinedMetrics,\n setCombinedPolar,\n setCombinedSliderProgress,\n} from './tabs/combined';\nimport {\n renderEvolution,\n resetEvolution,\n setEvolutionGrouping,\n setEvolutionRange,\n setEvolutionPinnedDuration,\n} from './tabs/progress';\nimport {\n renderCourses,\n initCourses,\n prepareBenchmarkCourses,\n getBenchmarkCourseIds,\n resetCourses,\n selectCourse,\n} from './tabs/courses';\nimport { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils';\n\nconst TRACK_COLORS: string[] = [\n '#FF6B35',\n '#4ECDC4',\n '#45B7D1',\n '#F7DC6F',\n '#FF6B6B',\n '#BB8FCE',\n '#82E0AA',\n '#F8C471',\n '#3b82f6',\n];\n\nconst POINT_ZOOM_LEVEL = 16;\n\nlet tracks: Record = {};\nlet skippedImports: { name: string; reason: string }[] = [];\n\nfunction isSameDay(t1: number, t2: number) {\n const d1 = new Date(t1);\n const d2 = new Date(t2);\n return (\n d1.getUTCFullYear() === d2.getUTCFullYear() &&\n d1.getUTCMonth() === d2.getUTCMonth() &&\n d1.getUTCDate() === d2.getUTCDate()\n );\n}\n\nlet cancelProcessing = false;\nlet selectedId: string | null = null;\nlet colorIdx = 0;\nlet followDot = false;\nlet currentMapColors: string[] | null = null;\n\n// Search/Filter state\nlet searchQuery = '';\nlet searchRegex = false;\nlet currentSort = 'date-desc';\n\ninterface Filters {\n date: [string | null, string | null];\n dist: [number | null, number | null];\n dur: [number | null, number | null];\n metrics: Set;\n tags: string[];\n sport: string | null;\n}\n\nlet filters: Filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n};\n\nfunction syncFiltersToUrl(push: boolean = false) {\n UrlState.patch(\n {\n f_date: filters.date.every((v) => v === null) ? null : filters.date,\n f_dist: filters.dist.every((v) => v === null) ? null : filters.dist,\n f_dur: filters.dur.every((v) => v === null) ? null : filters.dur,\n f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics),\n f_tags: filters.tags.length === 0 ? null : filters.tags,\n },\n push,\n );\n}\n\nfunction syncMetricsToUrl() {\n const active = ChartView.getActiveMetrics();\n const metrics = ChartView.METRICS;\n const abbrs = Array.from(active).map((key) => metrics[key].abbr);\n UrlState.patch({ metrics: abbrs.length ? abbrs : null });\n}\n\nconst SORT_OPTIONS = [\n { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' },\n { label: 'Oldest first', val: 'date-asc', icon: 'history' },\n { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' },\n { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' },\n { label: 'Longest duration', val: 'dur-desc', icon: 'timer' },\n { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' },\n];\n\nfunction showSortMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'sort-menu-popup';\n\n SORT_OPTIONS.forEach((opt) => {\n const item = document.createElement('div');\n item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`;\n item.innerHTML = `\n ${opt.icon}\n ${opt.label}\n ${currentSort === opt.val ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n currentSort = opt.val;\n UrlState.patch({ sort: opt.val });\n updateSearchSortUI();\n renderTrackList();\n popup.remove();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction showMetricMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const available = ChartView.getAvailableMetrics();\n const active = ChartView.getActiveMetrics();\n\n Object.entries(metrics).forEach(([key, def]) => {\n if (!available.has(key)) return;\n\n const item = document.createElement('div');\n item.className = `menu-item ${active.has(key) ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${active.has(key) ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n ChartView.toggleMetric(key);\n const isNowActive = ChartView.getActiveMetrics().has(key);\n item.classList.toggle('active', isNowActive);\n item.querySelector('.check')!.textContent = isNowActive ? 'check' : '';\n\n const pill = document.querySelector(`#metric-pills .metric-pill[data-metric=\"${key}\"]`);\n if (pill) pill.classList.toggle('active', isNowActive);\n\n updateToolbarLayout();\n\n syncMetricsToUrl();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.right = `${window.innerWidth - rect.right}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\n// \u2500\u2500 Tab Management \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndocument.addEventListener('select-track', (e: any) => {\n const id = e.detail.id;\n const idx = e.detail.idx;\n const dur = e.detail.dur;\n if (id && tracks[id]) {\n selectTrack(id);\n if (idx != null && dur != null) {\n const t = tracks[id];\n const pts = t.points;\n if (idx >= 0 && idx < pts.length) {\n const pIdx = pts[idx];\n if (pIdx && pIdx.time != null) {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const tMin = (pIdx.time - t0) / 1000;\n const tMax = tMin + dur;\n\n // ChartView selection\n ChartView.restoreSelection(tMin, tMax);\n\n // Find iMax based on duration\n let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000);\n if (iMax === -1) iMax = pts.length - 1;\n\n const selPts = pts.slice(idx, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n\n renderInsights(t);\n\n MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n\n // Update URL state\n UrlState.patch({ sel: [tMin, tMax] });\n }\n }\n }\n }\n});\n\ndocument.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement;\n if (!btn) return;\n const nav = btn.closest('#tab-nav');\n if (!nav) return;\n\n // Toggle buttons\n nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn));\n\n const tab = btn.dataset.tab!;\n UrlState.patch({ tab }, true);\n\n // Toggle contents\n const panel = nav.closest('#chart-panel');\n if (panel) {\n panel.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`);\n });\n }\n\n if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId])\n renderDetails(tracks[selectedId], getGlobalTags());\n\n if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId])\n renderInsights(tracks[selectedId]);\n\n if (btn.dataset.tab === 'evolution') {\n renderEvolution(\n selectedId ? tracks[selectedId] : null,\n Object.values(tracks),\n (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n },\n (start, end) => {\n filters.date = [start, end];\n applyFilters();\n syncFiltersToUrl(true);\n updateFilterUI();\n },\n );\n }\n\n if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId])\n renderCombined(tracks[selectedId]);\n\n if (btn.dataset.tab === 'courses') renderCourses();\n\n if (btn.dataset.tab === 'graphs') {\n ChartView.resize();\n updateToolbarLayout();\n\n // Restore selection from URL\n const s = UrlState.get().sel;\n if (s) ChartView.restoreSelection(s[0], s[1]);\n }\n});\n\nasync function resetBenchmarkState() {\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n await Storage.clear();\n tracks = {};\n skippedImports = [];\n selectedId = null;\n colorIdx = 0;\n currentMapColors = null;\n cancelProcessing = false;\n followDot = false;\n searchQuery = '';\n searchRegex = false;\n currentSort = 'date-desc';\n filters.date = [null, null];\n filters.dist = [null, null];\n filters.dur = [null, null];\n filters.metrics.clear();\n filters.tags = [];\n Parsers.setHRZones([120, 140, 160, 180]);\n Parsers.setFTP(200);\n resetCourses();\n resetInsights();\n resetDetails();\n resetCombined();\n resetEvolution();\n if (MapView.removeAllTracks) MapView.removeAllTracks();\n if (MapView.clearTracks) MapView.clearTracks();\n MapView.clearHighlight();\n if (ChartView.resetState) ChartView.resetState();\n else if (ChartView.clear) ChartView.clear();\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs');\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === 'tab-graphs');\n });\n UrlState.reset();\n const toastContainer = document.getElementById('toast-container');\n if (toastContainer) toastContainer.innerHTML = '';\n document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove());\n if (typeof renderTrackList === 'function') renderTrackList();\n}\n\n// \u2500\u2500 Boot \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nasync function init() {\n // Wait for fonts to be loaded with a cleaned-up timeout\n let fontTimerId: number | null = null;\n const fontTimeout = new Promise((resolve) => {\n fontTimerId = window.setTimeout(resolve, 1000);\n });\n try {\n const fontLoadPromise = document.fonts\n ? Promise.all([\n document.fonts.load('24px \"Material Symbols Rounded\"').catch(() => {}),\n document.fonts.ready,\n ])\n : Promise.resolve();\n await Promise.race([fontLoadPromise, fontTimeout]);\n } finally {\n if (fontTimerId !== null) window.clearTimeout(fontTimerId);\n }\n document.body.classList.remove('loading-fonts');\n const storageSelect = document.getElementById(\n 'storage-backend-select',\n ) as HTMLSelectElement | null;\n if (storageSelect) {\n storageSelect.value = UrlState.get().storage || 'memory';\n storageSelect.addEventListener('change', (e) => {\n const selected = (e.target as HTMLSelectElement).value;\n const params = new URLSearchParams(window.location.search);\n if (selected === 'memory') {\n params.delete('storage');\n } else {\n params.set('storage', selected);\n }\n window.location.search = params.toString();\n });\n }\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const mapLoader = document.getElementById('map-loader');\n const mapLoaderSpan = mapLoader?.querySelector('span');\n\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...';\n mapLoader.classList.remove('hidden');\n }\n\n const urlState = UrlState.get();\n\n initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n\n // Init sub-systems\n MapView.init(\n (id) => selectTrack(id),\n onMapMove,\n onMapPointClick,\n (id, idx) => {\n if (id === selectedId) ChartView.setHoverAt(idx);\n else ChartView.setHoverAt(null);\n },\n onMapDblClick,\n );\n ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => {\n UrlState.patch({ sel_point: idx });\n });\n\n ChartView.setMapColorChangeCb((data) => {\n if (data) {\n currentMapColors = data.colors;\n if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors);\n } else {\n currentMapColors = null;\n if (selectedId) MapView.clearMetricColor(selectedId);\n }\n\n // Refresh highlight with new colors if a selection exists\n const currentUrlState = UrlState.get();\n if (currentUrlState.sel)\n onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis());\n });\n\n applyState(urlState);\n\n // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions\n await Storage.openDB();\n await resetBenchmarkState();\n\n // Load persisted tracks\n try {\n // Load global settings\n const hrZones = await Storage.get('hr_zones');\n if (hrZones) Parsers.setHRZones(hrZones);\n\n const ftp = await Storage.get('ftp');\n if (ftp) Parsers.setFTP(ftp);\n\n const saved = await Storage.getAll();\n saved.sort((a, b) => a.addedAt - b.addedAt);\n\n if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`;\n\n const tracksToLoad: TrackData[] = [];\n for (const t of saved) {\n let updated = false;\n if (!t.bounds && t.points.length > 0) {\n const b = calculateBounds(t.points);\n if (b) {\n t.bounds = b;\n updated = true;\n }\n }\n if (!t.simplifiedPoints && t.points.length > 0) {\n t.simplifiedPoints = simplifyTrack(t.points, 50);\n updated = true;\n }\n if (updated) await Storage.save(t);\n\n tracks[t.id] = t;\n tracksToLoad.push(t);\n }\n MapView.addTracks(tracksToLoad);\n applyFilters();\n\n const restoreId =\n urlState.track && saved.find((t) => t.id === urlState.track)\n ? urlState.track\n : saved.length > 0\n ? saved[0].id\n : null;\n\n const mapLoader = document.getElementById('map-loader');\n\n // 1. Process and load the \"Priority\" track first\n const selectedTrackData = saved.find((t) => t.id === restoreId);\n if (selectedTrackData) {\n await processAndLoadTrack(selectedTrackData);\n selectTrack(selectedTrackData.id, !urlState.map_pos);\n\n // Explicitly restore selection/pin from URL if they exist\n if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]);\n });\n });\n }\n if (urlState.sel_point !== undefined && urlState.sel_point !== null) {\n requestAnimationFrame(() => {\n requestAnimationFrame(() => {\n ChartView.setCursorAt(urlState.sel_point!);\n });\n });\n }\n }\n\n // Hide database loader\n if (mapLoader) mapLoader.classList.add('hidden');\n\n // 2. Load the rest in background chunks\n if (saved.length > (selectedTrackData ? 1 : 0)) {\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...';\n mapLoader.classList.remove('hidden');\n }\n\n const remaining = saved.filter((t) => t.id !== restoreId);\n let index = 0;\n\n const loadNextChunk = async () => {\n const chunkSize = 2; // Process 2 tracks per frame\n const end = Math.min(index + chunkSize, remaining.length);\n\n for (; index < end; index++) await processAndLoadTrack(remaining[index]);\n\n if (index < remaining.length) {\n requestAnimationFrame(loadNextChunk);\n } else {\n if (mapLoader) mapLoader.classList.add('hidden');\n applyFilters(); // Final sync\n if (selectedId && tracks[selectedId]) {\n renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n // Only fit all if no saved map position and we just finished loading everything\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n };\n\n requestAnimationFrame(loadNextChunk);\n } else {\n applyFilters();\n if (saved.length && !urlState.map_pos) MapView.fitAll();\n }\n } catch (e) {\n console.warn('Could not load saved tracks:', e);\n }\n\n // Panel resizers\n initResizeHandle();\n initSidebarResizer();\n initMetricPillDraggable();\n updateToolbarLayout();\n\n // Basemap switcher\n document.getElementById('basemap-switcher')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement;\n if (!btn) return;\n document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n if (btn.dataset.layer) {\n MapView.switchBasemap(btn.dataset.layer);\n UrlState.patch({ map: btn.dataset.layer });\n }\n });\n\n // Fit all\n document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll());\n\n // Clear all\n document.getElementById('btn-clear-all')?.addEventListener('click', clearAll);\n\n // Search\n document.getElementById('track-search')?.addEventListener('input', (e) => {\n searchQuery = (e.target as HTMLInputElement).value;\n applyFilters();\n UrlState.patch({ q: searchQuery || null });\n });\n\n document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => {\n searchRegex = !searchRegex;\n (e.target as HTMLElement).classList.toggle('active', searchRegex);\n applyFilters();\n UrlState.patch({ re: searchRegex ? 1 : null });\n });\n\n // Sort\n document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSortMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric menu toggle\n document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMetricMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric toggles (shared logic)\n const toggleMetric = (metric: string, pill: HTMLElement | null) => {\n if (pill) pill.classList.toggle('active');\n ChartView.toggleMetric(metric);\n syncMetricsToUrl();\n };\n\n document.getElementById('metric-pills')?.addEventListener('click', (e) => {\n const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (pill) {\n const metric = pill.dataset.metric;\n if (metric) {\n toggleMetric(metric, pill);\n\n // Scroll to it if it became active\n if (ChartView.getActiveMetrics().has(metric)) {\n const targetEl = document.querySelector(`.chart-row[data-metric=\"${metric}\"]`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n }\n }\n });\n\n // X-axis toggle\n document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const axis = btn.dataset.axis!;\n ChartView.setXAxis(axis);\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', b === btn));\n UrlState.patch({ xaxis: axis });\n });\n\n // Follow dot\n document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => {\n followDot = !followDot;\n (e.currentTarget as HTMLElement).classList.toggle('active', followDot);\n });\n\n // Reset zoom\n document.getElementById('btn-reset-zoom')?.addEventListener('click', () => {\n ChartView.resetZoom();\n MapView.clearHighlight();\n });\n\n // File drag/drop\n initDropZone();\n\n // File browse\n document.getElementById('file-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n document.getElementById('folder-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n\n // Filters\n document.getElementById('btn-toggle-filters')?.addEventListener('click', () => {\n const panel = document.getElementById('filter-panel');\n if (panel) {\n panel.classList.toggle('hidden');\n document\n .getElementById('btn-toggle-filters')\n ?.classList.toggle('active', !panel.classList.contains('hidden'));\n }\n });\n\n const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => {\n const val = (e.target as HTMLInputElement).value;\n (filters[type] as any)[idx] = val === '' ? null : val;\n applyFilters();\n syncFiltersToUrl();\n };\n\n document\n .getElementById('filter-date-start')\n ?.addEventListener('change', (e) => onFilterInput('date', 0, e));\n document\n .getElementById('filter-date-end')\n ?.addEventListener('change', (e) => onFilterInput('date', 1, e));\n document\n .getElementById('filter-dist-min')\n ?.addEventListener('input', (e) => onFilterInput('dist', 0, e));\n document\n .getElementById('filter-dist-max')\n ?.addEventListener('input', (e) => onFilterInput('dist', 1, e));\n document\n .getElementById('filter-dur-min')\n ?.addEventListener('input', (e) => onFilterInput('dur', 0, e));\n document\n .getElementById('filter-dur-max')\n ?.addEventListener('input', (e) => onFilterInput('dur', 1, e));\n\n const burgerBtn = document.getElementById('sport-burger-btn');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n burgerBtn?.addEventListener('click', (e) => {\n e.stopPropagation();\n if (dropdownContent) {\n const isVisible = dropdownContent.style.display === 'block';\n dropdownContent.style.display = isVisible ? 'none' : 'block';\n }\n });\n\n document.addEventListener('click', (e) => {\n if (dropdownContent && dropdownContent.style.display === 'block') {\n if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn)\n dropdownContent.style.display = 'none';\n }\n });\n\n document.getElementById('sport-filter-container')?.addEventListener('click', (e) => {\n const target = e.target as HTMLElement;\n const btn = target.closest('[data-sport]');\n if (btn) {\n const selectedSport = (btn as HTMLElement).dataset.sport || null;\n filters.sport = filters.sport === selectedSport ? null : selectedSport;\n applyFilters();\n syncFiltersToUrl();\n updateFilterUI();\n\n if (target.closest('.dropdown-item')) {\n if (dropdownContent) dropdownContent.style.display = 'none';\n }\n }\n });\n\n document.getElementById('filter-metrics')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement;\n if (!btn) return;\n const m = btn.dataset.metric!;\n if (filters.metrics.has(m)) filters.metrics.delete(m);\n else filters.metrics.add(m);\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('btn-reset-filters')?.addEventListener('click', () => {\n filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n };\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('filter-tags')?.addEventListener('input', (e) => {\n const val = (e.target as HTMLInputElement).value;\n filters.tags = val\n .split(',')\n .map((s) => s.trim().toLowerCase())\n .filter((s) => !!s);\n applyFilters();\n syncFiltersToUrl();\n });\n\n // Keyboard shortcuts\n document.addEventListener('keydown', (e) => {\n if (e.key === 'Escape') {\n MapView.hideCursor();\n MapView.closePopup?.();\n // Dismiss popups and modals\n document\n .querySelectorAll(\n '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop',\n )\n .forEach((el) => el.remove());\n }\n });\n\n // Resize charts when window changes\n window.addEventListener('resize', () => {\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n updateToolbarLayout();\n });\n\n initBenchmarkTriggers();\n await preloadBenchmarkFiles();\n\n // Signal to Speedometer test harness that asynchronous initialization has completed\n // and benchmark step triggers are bound.\n const readyEl = document.createElement('div');\n readyEl.id = 'app-is-ready';\n readyEl.setAttribute('data-ready', 'true');\n readyEl.style.display = 'none';\n document.body.appendChild(readyEl);\n\n const camelReadyEl = document.createElement('div');\n camelReadyEl.id = 'appIsReady';\n camelReadyEl.setAttribute('data-ready', 'true');\n camelReadyEl.style.display = 'none';\n document.body.appendChild(camelReadyEl);\n}\n\nlet preloadedBenchmarkPayloads:\n | {\n cleanName: string;\n buf: ArrayBuffer;\n text?: string;\n file: File;\n }[]\n | null = null;\n\nasync function preloadBenchmarkFiles(): Promise<\n { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[]\n> {\n if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads;\n try {\n const manifestResp = await fetch('./test-data/manifest.json');\n const fileNames: string[] = await manifestResp.json();\n const decoder = new TextDecoder();\n preloadedBenchmarkPayloads = await Promise.all(\n fileNames.map(async (name) => {\n const fileResp = await fetch(`./test-data/${name}`);\n let buf = await fileResp.arrayBuffer();\n let cleanName = name;\n if (name.toLowerCase().endsWith('.gz')) {\n cleanName = name.slice(0, -3);\n const bytes = new Uint8Array(buf);\n if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) {\n const ds = new DecompressionStream('gzip');\n const stream = new Blob([buf]).stream().pipeThrough(ds);\n buf = await new Response(stream).arrayBuffer();\n }\n }\n const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf);\n const file = new File([buf], cleanName, { type: 'application/octet-stream' });\n (file as any)._buf = buf;\n if (text !== undefined) (file as any)._text = text;\n return { cleanName, buf, text, file };\n }),\n );\n // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase\n let warmSample: any = null;\n for (const idx of [0, 2, 4]) {\n if (preloadedBenchmarkPayloads[idx]) {\n const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file);\n if (idx === 0) warmSample = parsed;\n }\n }\n if (warmSample) {\n const warmPts = warmSample.points.slice(0, 1250);\n const warmTrack: TrackData = {\n ...warmSample,\n id: 'warmup',\n fileName: 'warmup.gpx',\n fileSize: 1024,\n points: warmPts,\n bounds: calculateBounds(warmPts) || undefined,\n simplifiedPoints: simplifyTrack(warmPts, 50),\n stats: Parsers.computeStats(warmPts),\n addedAt: 1785542400000,\n visible: true,\n color: TRACK_COLORS[0],\n };\n const warmTrack2: TrackData = {\n ...warmTrack,\n id: 'warmup-2',\n fileName: 'warmup2.gpx',\n addedAt: 1785628800000,\n color: TRACK_COLORS[1],\n };\n const warmList = [warmTrack, warmTrack2];\n Parsers.ensureCurvesAndZones(warmTrack);\n Parsers.ensureCurvesAndZones(warmTrack2);\n warmTrack.stats.sections = Parsers.analyzeTrackSections(warmTrack.points);\n warmTrack2.stats.sections = Parsers.analyzeTrackSections(warmTrack2.points);\n Parsers.findOverlaps(warmList);\n MapView.addTracks(warmList);\n ChartView.loadTrack(warmTrack, warmList, false);\n ChartView.restoreSelection(10, 50, true);\n ChartView.setCursorAt(25, true);\n ChartView.setSmooth('power', true);\n ChartView.setSmooth('power', false);\n ChartView.setXAxis('distance');\n ChartView.setXAxis('time');\n ChartView.setActiveMetrics(['elevation', 'speed', 'power']);\n ChartView.analyzeTelemetryIntervals(warmList, 10, 50);\n renderInsights(warmTrack, warmList, [10, 50]);\n renderInsights(warmTrack, warmList);\n renderDetails(warmTrack, [], warmList);\n renderCombined(warmTrack, warmList);\n setCombinedPolar(true);\n setCombinedPolar(false);\n setCombinedSliderProgress(0.5);\n renderCombined(warmList, warmList);\n renderEvolution(warmTrack, warmList);\n setEvolutionGrouping('month');\n setEvolutionGrouping('week');\n setEvolutionRange('6m');\n setEvolutionRange('all');\n setEvolutionPinnedDuration(60);\n setEvolutionPinnedDuration(null);\n prepareBenchmarkCourses(warmList);\n selectCourse('course-1', true);\n await resetBenchmarkState();\n void document.body.offsetHeight;\n await new Promise((r) => window.setTimeout(r, 0));\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n return preloadedBenchmarkPayloads;\n } catch {\n return [];\n }\n}\n\nfunction initBenchmarkTriggers() {\n const btnLoad = document.getElementById('btn-step-load');\n const btnAnalysis = document.getElementById('btn-step-analysis');\n const btnInsights = document.getElementById('btn-step-insights');\n const btnDetails = document.getElementById('btn-step-details');\n const btnAggregate = document.getElementById('btn-step-aggregate');\n const btnEvolution = document.getElementById('btn-step-evolution');\n const btnCourses = document.getElementById('btn-step-courses');\n\n function activateTab(tabName: string) {\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName);\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${tabName}`);\n });\n UrlState.patch({ tab: tabName }, false);\n }\n\n btnLoad?.addEventListener('click', async () => {\n try {\n if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) {\n await Storage.openDB();\n await resetBenchmarkState();\n } else if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n const payloads = await preloadBenchmarkFiles();\n const loadedFiles: File[] = payloads.map((p) => p.file);\n await handleFiles(loadedFiles);\n const allTracks = Object.values(tracks);\n Parsers.findOverlaps(allTracks);\n\n // Exercise sidebar track list sorting and filtering across distinct criteria\n for (const sortMode of ['dist-desc', 'dur-desc', 'date-asc', 'date-desc']) {\n currentSort = sortMode;\n renderTrackList();\n }\n filters.sport = 'cycling';\n applyFilters();\n filters.sport = null;\n filters.metrics.add('power');\n applyFilters();\n filters.metrics.clear();\n searchQuery = 'Alpine';\n applyFilters();\n searchQuery = '';\n applyFilters();\n\n if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id);\n } finally {\n window.dispatchEvent(new CustomEvent('load-and-parse-complete'));\n }\n });\n\n btnAnalysis?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('graphs');\n if (!selectedId && allTracks.length > 0) {\n selectTrack(allTracks[0].id, false);\n }\n const availableMetrics = ChartView.getAvailableMetrics();\n const metricSets = [\n ['elevation', 'speed', 'power', 'hr'],\n ['elevation', 'speed', 'power'],\n ];\n for (const mSet of metricSets) {\n const filtered = mSet.filter((m) => availableMetrics.has(m));\n if (filtered.length > 0) {\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const metric = (el as HTMLElement).dataset.metric;\n if (metric) el.classList.toggle('active', filtered.includes(metric));\n });\n updateToolbarLayout();\n ChartView.setActiveMetrics(filtered);\n }\n }\n\n // Exercise smoothing, map metric coloring, and X-axis mode switching\n ChartView.setSmooth('power', true, true);\n ChartView.toggleMapColor('power', true);\n ChartView.toggleMapColor(null, true);\n ChartView.setXAxis('distance');\n ChartView.setSmooth('power', false, true);\n ChartView.setXAxis('time');\n\n // Analyze distinct sections of the track (Opening Climb & Main Analysis Window)\n const sections: [number, number, number][] = [\n [0, 360, 180],\n [120, 900, 300],\n ];\n for (const [secStart, secEnd, cursorIdx] of sections) {\n ChartView.restoreSelection(secStart, secEnd, true);\n ChartView.setCursorAt(cursorIdx, true);\n ChartView.analyzeTelemetryIntervals(allTracks, secStart, secEnd);\n onChartRangeChange(secStart, secEnd, ChartView.getXAxis(), false);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('analysis-complete'));\n }\n });\n\n btnInsights?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t));\n activateTab('insights');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n // Analyze insights across GPX, TCX, and FIT tracks and across distinct track sections (Opening, Middle, Final thirds, Full)\n for (const tIdx of [1, 2, 4]) {\n const trk = allTracks[tIdx];\n if (trk) {\n renderInsights(trk, allTracks, [0, 540]);\n renderInsights(trk, allTracks, [540, 1140]);\n renderInsights(trk, allTracks, null);\n }\n }\n if (allTracks[3]) {\n renderInsights(allTracks[3], allTracks, [200, 900]);\n }\n if (primaryTrack) {\n renderInsights(primaryTrack, allTracks, [0, 480]);\n renderInsights(primaryTrack, allTracks, [480, 960]);\n renderInsights(primaryTrack, allTracks, [960, 1440]);\n }\n renderInsights(primaryTrack, allTracks, null);\n } finally {\n window.dispatchEvent(new CustomEvent('insights-complete'));\n }\n });\n\n btnDetails?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('details');\n const globalTags = getGlobalTags();\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n // Render and analyze telemetry details, splits, gear matrices, and zones across all 6 tracks and terrain sections\n for (let i = 0; i < allTracks.length; i++) {\n renderDetails(allTracks[i], globalTags, allTracks, null);\n }\n if (primaryTrack) {\n renderDetails(primaryTrack, globalTags, allTracks, [0, 450]);\n renderDetails(primaryTrack, globalTags, allTracks, [450, 950]);\n renderDetails(primaryTrack, globalTags, allTracks, [950, 1450]);\n }\n if (allTracks[1]) {\n renderDetails(allTracks[1], globalTags, allTracks, [150, 750]);\n }\n if (allTracks[2]) {\n renderDetails(allTracks[2], globalTags, allTracks, [200, 800]);\n }\n if (allTracks[3]) {\n renderDetails(allTracks[3], globalTags, allTracks, [200, 900]);\n }\n if (allTracks[4]) {\n renderDetails(allTracks[4], globalTags, allTracks, [0, 600]);\n renderDetails(allTracks[4], globalTags, allTracks, [600, 1200]);\n }\n if (allTracks[5]) {\n renderDetails(allTracks[5], globalTags, allTracks, [150, 750]);\n }\n renderDetails(primaryTrack, globalTags, allTracks, null);\n } finally {\n window.dispatchEvent(new CustomEvent('details-complete'));\n }\n });\n\n btnAggregate?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n if (allTracks.length >= 2) {\n activateTab('combined');\n // 1. Exercise single-track 2D scatter/trail mode across metric pairs, Polar & Cartesian, and timeline sections\n setCombinedMetrics('distance', 'elevation');\n renderCombined(allTracks[0], allTracks);\n for (const frac of [0.25, 0.5, 0.75, 1.0]) {\n setCombinedSliderProgress(frac);\n }\n setCombinedPolar(true);\n setCombinedSliderProgress(0.5);\n setCombinedPolar(false);\n setCombinedMetrics('power', 'hr');\n for (const frac of [0.3, 0.7]) {\n setCombinedSliderProgress(frac);\n }\n\n // 2. Exercise multi-track comparison mode across regional pairs and all 6 tracks\n if (allTracks.length >= 4) {\n renderCombined([allTracks[2], allTracks[3]], allTracks);\n }\n if (allTracks.length >= 6) {\n renderCombined(allTracks, allTracks);\n }\n const selectedTwo = [allTracks[0], allTracks[1]];\n renderCombined(selectedTwo, allTracks);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('aggregate-complete'));\n }\n });\n\n btnEvolution?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('evolution');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n const onSelectCb = (trackId: string, range: [number, number] | null) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n };\n\n // Exercise evolution view across different reference tracks, groupings ('month' & 'week'), time ranges, and pinned durations\n const refTracks = [allTracks[2] || primaryTrack, allTracks[4] || primaryTrack, primaryTrack];\n for (const refTrk of refTracks) {\n renderEvolution(refTrk, allTracks, onSelectCb);\n setEvolutionGrouping('month');\n for (const rng of ['1m', '2m', '6m', '1y', 'all']) {\n setEvolutionRange(rng);\n }\n setEvolutionGrouping('week');\n for (const dur of [5, 30, 60, 300, 1200, null]) {\n setEvolutionPinnedDuration(dur);\n }\n }\n } finally {\n window.dispatchEvent(new CustomEvent('evolution-complete'));\n }\n });\n\n btnCourses?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('courses');\n prepareBenchmarkCourses(allTracks);\n const courseIds = getBenchmarkCourseIds();\n for (const cId of courseIds) {\n selectCourse(cId, true);\n }\n selectCourse('course-1', true);\n } finally {\n window.dispatchEvent(new CustomEvent('courses-complete'));\n }\n });\n\n (window as any).benchmarkSteps = {\n loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(),\n displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(),\n displayInsights: () => document.getElementById('btn-step-insights')?.click(),\n displayDetails: () => document.getElementById('btn-step-details')?.click(),\n displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(),\n displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(),\n displayCourses: () => document.getElementById('btn-step-courses')?.click(),\n };\n}\n\nasync function processAndLoadTrack(t: TrackData) {\n // Migration: re-calculate stats if new insights are missing or old format\n const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : [];\n\n const needsEnrich =\n t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined);\n\n const needsRecalc =\n needsEnrich ||\n !t.stats.powerCurve ||\n !t.stats.hrZones ||\n !t.stats.hrCurve ||\n t.stats.shifts === undefined ||\n t.stats.avgBattery === undefined ||\n t.stats.avgTemp === undefined ||\n (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') ||\n ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]);\n\n if (needsRecalc) {\n if (needsEnrich) t.points = Parsers.enrichPoints(t.points);\n t.stats = Parsers.computeStats(t.points);\n await Storage.save(t);\n }\n\n tracks[t.id] = t;\n colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1);\n MapView.addTrack(t);\n MapView.setTrackVisible(t.id, t.visible && !t._filtered);\n renderTrackList(); // Progressive list update\n}\n\nfunction initResizeHandle() {\n const handle = document.getElementById('resize-handle');\n const panel = document.getElementById('chart-panel');\n if (!handle || !panel) return;\n\n let isDragging = false;\n\n handle.addEventListener('mousedown', () => {\n isDragging = true;\n document.body.style.cursor = 'ns-resize';\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const h = window.innerHeight - e.clientY;\n const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h));\n panel.style.height = `${clampedH}px`;\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n document.body.style.cursor = '';\n });\n}\n\nfunction initSidebarResizer() {\n const resizer = document.getElementById('sidebar-resizer');\n const sidebar = document.getElementById('sidebar');\n if (!resizer || !sidebar) return;\n\n let isDragging = false;\n\n resizer.addEventListener('mousedown', () => {\n isDragging = true;\n resizer.classList.add('dragging');\n document.body.classList.add('dragging-sidebar');\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const w = e.clientX;\n const clampedW = Math.max(200, Math.min(600, w));\n sidebar.style.width = `${clampedW}px`;\n sidebar.style.setProperty('--sidebar-w', `${clampedW}px`);\n ChartView.resize();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n resizer.classList.remove('dragging');\n document.body.classList.remove('dragging-sidebar');\n });\n}\n\n// \u2500\u2500 Event Handlers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nfunction onMapMove(lat: number, lng: number, zoom: number) {\n UrlState.patch({ map_pos: [lat, lng, zoom] });\n}\n\nfunction onMapPointClick(id: string, idx: number) {\n selectTrack(id, false);\n ChartView.setCursorAt(idx);\n}\n\nfunction onMapDblClick() {\n // MapView.fitAll();\n}\n\nfunction onChartCursorMove(pt: TrackPoint | null) {\n if (pt && pt.lat != null && pt.lon != null) {\n MapView.showCursorAt(pt.lat, pt.lon);\n if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true);\n } else {\n MapView.hideCursor();\n }\n}\n\nfunction onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) {\n if (!selectedId || !tracks[selectedId]) return;\n const t = tracks[selectedId];\n\n if (min === null || max === null) {\n MapView.clearHighlight();\n if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n UrlState.patch({ sel: null });\n return;\n }\n\n // Find point indices\n const pts = t.points;\n let iMin = 0,\n iMax = pts.length - 1;\n\n if (axis === 'distance') {\n const d0 = min * 1000,\n d1 = max * 1000;\n iMin = pts.findIndex((p) => (p.dist || 0) >= d0);\n iMax = pts.findIndex((p) => (p.dist || 0) >= d1);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const ts0 = t0 + min * 1000,\n ts1 = t0 + max * 1000;\n iMin = pts.findIndex((p) => (p.time || 0) >= ts0);\n iMax = pts.findIndex((p) => (p.time || 0) >= ts1);\n }\n\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = pts.length - 1;\n\n // Compute selection stats\n const selPts = pts.slice(iMin, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n\n MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n UrlState.patch({ sel: [min, max] });\n}\n\nfunction onChartClick(pt: TrackPoint, idx: number) {\n if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL);\n}\n\nexport function selectTrack(id: string, fit = true, deferChartRender = false) {\n if (!tracks[id]) return;\n if (id === selectedId) {\n if (fit) MapView.fitTrack(id);\n return;\n }\n\n const hadSelected = selectedId !== null;\n if (hadSelected) {\n // Clear current views immediately before loading new data\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n }\n\n selectedId = id;\n\n // Fully reset metric coloring when switching tracks\n currentMapColors = null;\n MapView.clearMetricColor(id);\n if (hadSelected) {\n ChartView.toggleMapColor(null); // Ensure ChartView state also resets\n }\n\n // Clear selection on new track\n UrlState.patch({ track: id, sel: null }, true);\n if (hadSelected) {\n ChartView.cancelSelection();\n }\n\n // Update UI immediately\n renderTrackList();\n\n // Render details\n const activeTab = UrlState.get().tab || 'graphs';\n if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags());\n if (activeTab === 'insights') renderInsights(tracks[id]);\n if (activeTab === 'combined') renderCombined(tracks[id]);\n if (activeTab === 'courses') renderCourses();\n if (activeTab === 'evolution') {\n renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n\n // Tell sub-views\n MapView.setSelectedTrack(id, fit);\n if (fit) MapView.fitTrack(id);\n ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender);\n}\n\nasync function deleteTrack(id: string) {\n await Storage.remove(id);\n MapView.removeTrack(id);\n delete tracks[id];\n if (selectedId === id) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n UrlState.patch({ track: null, sel: null, sel_point: null });\n }\n applyFilters();\n}\n\nasync function clearAll() {\n const code = Math.floor(10 + Math.random() * 90).toString();\n\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n backdrop.innerHTML = `\n
\n
Delete all tracks?
\n
\n This will permanently remove all tracks from your browser storage. This action cannot be undone.\n
\n
\n
Enter \"${code}\" to confirm:
\n \n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const input = backdrop.querySelector('.modal-input') as HTMLInputElement;\n const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement;\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n\n input.focus();\n\n input.addEventListener('input', () => {\n btnConfirm.disabled = input.value !== code;\n });\n\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n\n btnConfirm.addEventListener('click', async () => {\n if (input.value !== code) return;\n close();\n\n cancelProcessing = true;\n await Storage.clear();\n\n tracks = {};\n selectedId = null;\n MapView.clearHighlight();\n window.location.reload();\n });\n}\n\nfunction applyFilters(skipRender = false) {\n const ids = Object.keys(tracks);\n ids.forEach((id) => {\n const t = tracks[id];\n const s = t.stats;\n let visible = true;\n\n // Search query\n if (searchQuery) {\n if (searchRegex) {\n try {\n const re = new RegExp(searchQuery, 'i');\n if (!re.test(t.name)) visible = false;\n } catch (e) {\n visible = false;\n }\n } else {\n if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false;\n }\n }\n\n // Date filter\n if (visible && (filters.date[0] || filters.date[1])) {\n const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0;\n const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity;\n const t0 = s.startTime || 0;\n if (t0 < start || t0 > end) visible = false;\n }\n\n // Distance filter\n if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) {\n const min = (filters.dist[0] || 0) * 1000;\n const max = (filters.dist[1] || Infinity) * 1000;\n if (s.totalDist < min || s.totalDist > max) visible = false;\n }\n\n // Duration filter\n if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) {\n const min = (filters.dur[0] || 0) * 60000;\n const max = (filters.dur[1] || Infinity) * 60000;\n const d = s.duration || 0;\n if (d < min || d > max) visible = false;\n }\n\n // Metrics filter\n if (visible && filters.metrics.size > 0) {\n for (const m of filters.metrics) {\n const field = ChartView.METRICS[m].field;\n if (!t.points.some((p: any) => p[field] != null)) {\n visible = false;\n break;\n }\n }\n }\n\n // Sport filter\n if (visible && filters.sport) {\n if (t.sport !== filters.sport) visible = false;\n }\n\n // Tags filter\n if (visible && filters.tags.length > 0) {\n const trackTags = t.tags || [];\n if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false;\n }\n\n t._filtered = !visible;\n MapView.setTrackVisible(t.id, t.visible && visible);\n });\n\n if (!skipRender) renderTrackList();\n}\n\nfunction updateFilterUI() {\n (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || '';\n (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || '';\n (document.getElementById('filter-dist-min') as HTMLInputElement).value =\n filters.dist[0] !== null ? String(filters.dist[0]) : '';\n (document.getElementById('filter-dist-max') as HTMLInputElement).value =\n filters.dist[1] !== null ? String(filters.dist[1]) : '';\n (document.getElementById('filter-dur-min') as HTMLInputElement).value =\n filters.dur[0] !== null ? String(filters.dur[0]) : '';\n (document.getElementById('filter-dur-max') as HTMLInputElement).value =\n filters.dur[1] !== null ? String(filters.dur[1]) : '';\n (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', ');\n\n document\n .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item')\n .forEach((el) => {\n const item = el as HTMLElement;\n item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || ''));\n });\n\n document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => {\n const btn = el as HTMLElement;\n btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!));\n });\n\n const activeCount =\n (filters.date[0] ? 1 : 0) +\n (filters.date[1] ? 1 : 0) +\n (filters.dist[0] !== null ? 1 : 0) +\n (filters.dist[1] !== null ? 1 : 0) +\n (filters.dur[0] !== null ? 1 : 0) +\n (filters.dur[1] !== null ? 1 : 0) +\n filters.metrics.size +\n (filters.tags.length > 0 ? 1 : 0);\n\n const badge = document.querySelector('#btn-toggle-filters .btn-badge');\n if (badge) {\n badge.textContent = activeCount > 0 ? String(activeCount) : '';\n badge.classList.toggle('hidden', activeCount === 0);\n }\n}\n\nfunction updateSearchSortUI() {\n const searchInput = document.getElementById('track-search') as HTMLInputElement;\n if (searchInput) searchInput.value = searchQuery;\n document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex);\n\n const opt = SORT_OPTIONS.find((o) => o.val === currentSort);\n if (opt) {\n const labelEl = document.getElementById('sort-current-label');\n const iconEl = document.getElementById('sort-current-icon');\n if (labelEl)\n labelEl.textContent = opt.label\n .replace(' first', '')\n .replace(' distance', '')\n .replace(' duration', '');\n if (iconEl) iconEl.textContent = opt.icon;\n }\n}\n\nfunction applyState(urlState: AppState) {\n // Restore track\n const newTrackId = urlState.track;\n if (newTrackId !== selectedId) {\n if (newTrackId && tracks[newTrackId]) {\n selectTrack(newTrackId, true);\n } else if (!newTrackId && selectedId) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n renderTrackList();\n MapView.fitAll();\n }\n }\n\n // Restore basemap\n if (urlState.map && typeof urlState.map === 'string') {\n MapView.switchBasemap(urlState.map);\n document\n .querySelectorAll('.bm-btn')\n .forEach((b) =>\n b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map),\n );\n }\n\n // Restore map position\n if (urlState.map_pos) {\n const [lat, lng, zoom] = urlState.map_pos;\n MapView.setPosition(lat, lng, zoom);\n }\n\n // Restore tab\n if (urlState.tab) {\n document.querySelectorAll('.tab-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n if (b.dataset.tab === urlState.tab) {\n if (!b.classList.contains('active')) b.click();\n }\n });\n }\n\n // Restore x-axis mode\n if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis);\n\n const currentXAxis = urlState.xaxis || 'time';\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis));\n\n // Restore active metrics\n if (urlState.metrics) {\n const metrics = ChartView.METRICS;\n const keys = urlState.metrics\n .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr))\n .filter((k): k is string => k !== undefined);\n if (keys.length) ChartView.setActiveMetrics(keys);\n }\n\n // Restore filters\n if (urlState.f_date)\n filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null];\n if (urlState.f_dist)\n filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_dur)\n filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets);\n if (urlState.f_tags) filters.tags = urlState.f_tags;\n\n updateFilterUI();\n\n if (urlState.q) searchQuery = urlState.q;\n if (urlState.re) searchRegex = urlState.re;\n if (urlState.sort) currentSort = urlState.sort;\n updateSearchSortUI();\n\n applyFilters();\n}\n\nfunction updateSportFilterOptions() {\n const container = document.getElementById('sport-filter-container');\n if (!container) return;\n\n const commonContainer = document.getElementById('common-sports');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n if (!commonContainer || !dropdownContent) return;\n\n const sports = new Set();\n Object.values(tracks).forEach((t) => {\n if (t.sport) sports.add(t.sport);\n });\n\n const sportsArray = Array.from(sports).sort();\n const burgerDropdown = document.getElementById('sport-burger-dropdown');\n\n commonContainer.innerHTML = '';\n dropdownContent.innerHTML = '';\n\n if (sportsArray.length <= 4) {\n if (burgerDropdown) burgerDropdown.style.display = 'none';\n\n sportsArray.forEach((sport) => {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n });\n } else {\n if (burgerDropdown) burgerDropdown.style.display = 'inline-block';\n\n const commonSports = ['running', 'cycling', 'walking'];\n\n commonSports.forEach((sport) => {\n if (sports.has(sport)) {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n }\n });\n\n sportsArray.forEach((sport) => {\n const item = document.createElement('div');\n item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`;\n item.dataset.sport = sport;\n item.style.padding = '8px';\n item.style.cursor = 'pointer';\n item.style.display = 'flex';\n item.style.alignItems = 'center';\n item.style.gap = '8px';\n item.innerHTML = `\n ${getSportIcon(sport)}\n ${sport.charAt(0).toUpperCase() + sport.slice(1)}\n `;\n dropdownContent.appendChild(item);\n });\n }\n}\n\nfunction renderTrackList() {\n updateSportFilterOptions();\n const list = document.getElementById('track-list');\n const emptyEl = document.getElementById('track-list-empty') as HTMLElement;\n const headerLabel = document.querySelector('.section-label');\n if (!list) return;\n\n const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered);\n if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`;\n\n if (!ids.length) {\n list.innerHTML = '';\n if (emptyEl) {\n list.appendChild(emptyEl);\n emptyEl.style.display = 'block';\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n list.innerHTML = '';\n\n ids\n .sort((a, b) => {\n // Current selected always first\n if (a === selectedId) return -1;\n if (b === selectedId) return 1;\n\n const ta = tracks[a],\n tb = tracks[b];\n const sa = ta.stats,\n sb = tb.stats;\n\n let cmp = 0;\n switch (currentSort) {\n case 'date-asc':\n cmp = (sa.startTime || 0) - (sb.startTime || 0);\n break;\n case 'date-desc':\n cmp = (sb.startTime || 0) - (sa.startTime || 0);\n break;\n case 'dist-asc':\n cmp = (sa.totalDist || 0) - (sb.totalDist || 0);\n break;\n case 'dist-desc':\n cmp = (sb.totalDist || 0) - (sa.totalDist || 0);\n break;\n case 'dur-asc':\n cmp = (sa.duration || 0) - (sb.duration || 0);\n break;\n case 'dur-desc':\n cmp = (sb.duration || 0) - (sa.duration || 0);\n break;\n default:\n cmp = 0;\n }\n return cmp || a.localeCompare(b);\n })\n .forEach((id) => {\n list.appendChild(buildTrackItem(tracks[id]));\n });\n}\n\nfunction getGlobalTags(): string[] {\n const all = new Set();\n Object.values(tracks).forEach((t) => {\n (t.tags || []).forEach((tag) => all.add(tag));\n });\n return Array.from(all).sort();\n}\n\nfunction getSportIcon(sport: string | null): string {\n if (!sport) return 'category';\n const s = sport.toLowerCase();\n if (s.includes('run')) return 'directions_run';\n if (s.includes('cycl') || s.includes('bike')) return 'directions_bike';\n if (s.includes('walk')) return 'directions_walk';\n if (s.includes('swim')) return 'pool';\n if (s.includes('hik')) return 'hiking';\n return 'sports';\n}\n\nfunction buildTrackItem(track: TrackData) {\n const item = document.createElement('div');\n item.className = `track-item${track.id === selectedId ? ' selected' : ''}`;\n item.dataset.id = track.id;\n\n const date =\n track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date';\n\n const tagsHtml =\n (track.tags || []).length > 0\n ? `
${(track.tags || [])\n .map((t) => {\n const c = getTagColor(t);\n return `${escHtml(t)}`;\n })\n .join('')}
`\n : '';\n\n item.innerHTML = `\n
\n
\n
${escHtml(track.displayName || track.name)}
\n
\n
\n ${date}\n ${Math.round(track.stats.totalDist / 1000)} km\n ${track.sport ? `${getSportIcon(track.sport)}` : ''}\n ${track.format.toUpperCase()}\n
\n \n
\n ${tagsHtml}\n
\n `;\n\n item.addEventListener('click', (e) => {\n if ((e.target as HTMLElement).closest('.icon-btn')) return;\n selectTrack(track.id);\n });\n\n const btnVis = item.querySelector('.toggle-vis') as HTMLElement;\n btnVis.addEventListener('click', () => {\n track.visible = !track.visible;\n btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible\n ? 'visibility'\n : 'visibility_off';\n MapView.setTrackVisible(track.id, track.visible);\n Storage.save(track);\n });\n\n return item;\n}\n\nfunction showToast(msg: string, type: 'info' | 'error' = 'info') {\n const container = document.getElementById('toast-container');\n if (!container) return;\n container.innerHTML = '';\n const t = document.createElement('div');\n t.className = `toast ${type}`;\n t.textContent = msg;\n container.appendChild(t);\n}\n\nfunction showSkippedImportsModal() {\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n let listHtml = '';\n skippedImports.forEach((s) => {\n listHtml += `
${s.name}: ${s.reason}
`;\n });\n\n backdrop.innerHTML = `\n
\n
Skipped Imports
\n
\n ${listHtml || '
No skipped imports.
'}\n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n const btnClear = backdrop.querySelector('.modal-btn.clear') as HTMLButtonElement;\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n btnClear.addEventListener('click', () => {\n skippedImports = [];\n close();\n const importWarning = document.getElementById('import-warning');\n if (importWarning) importWarning.classList.add('hidden');\n });\n\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n}\n\nfunction initDropZone() {\n const zone = document.getElementById('drop-zone');\n if (!zone) return;\n\n const importWarning = document.getElementById('import-warning');\n if (importWarning) {\n importWarning.addEventListener('click', (e) => {\n e.stopPropagation();\n showSkippedImportsModal();\n });\n }\n\n window.addEventListener('dragover', (e) => {\n e.preventDefault();\n zone.classList.add('drop-active');\n });\n\n window.addEventListener('dragleave', (e) => {\n if (e.relatedTarget === null) zone.classList.remove('drop-active');\n });\n\n window.addEventListener('drop', async (e) => {\n e.preventDefault();\n zone.classList.remove('drop-active');\n\n const items = e.dataTransfer?.items;\n if (!items) return;\n\n const files: File[] = [];\n const queue: FileSystemEntry[] = [];\n\n for (let i = 0; i < items.length; i++) {\n const entry = items[i].webkitGetAsEntry();\n if (entry) queue.push(entry);\n }\n\n async function readAllEntries(entry: FileSystemEntry) {\n if (entry.isFile) {\n const file = await new Promise((res) => (entry as FileSystemFileEntry).file(res));\n files.push(file);\n } else if (entry.isDirectory) {\n const reader = (entry as FileSystemDirectoryEntry).createReader();\n let entries: FileSystemEntry[] = [];\n let chunk: FileSystemEntry[];\n do {\n chunk = await new Promise((res) => reader.readEntries(res));\n entries.push(...chunk);\n } while (chunk.length > 0);\n\n for (const child of entries) await readAllEntries(child);\n }\n }\n\n for (const entry of queue) await readAllEntries(entry);\n\n if (files.length) handleFiles(files);\n });\n}\n\nasync function handleFiles(files: File[]) {\n if (!files.length) return;\n cancelProcessing = false;\n const initialSkipCount = skippedImports.length;\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const loaderClose = document.getElementById('loader-close');\n\n if (loaderClose) {\n loaderClose.addEventListener('click', () => {\n cancelProcessing = true;\n if (loader) loader.classList.add('hidden');\n });\n }\n\n function updateLoaderIconToWarning() {\n const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement;\n if (loaderIcon) {\n loaderIcon.textContent = 'warning';\n loaderIcon.style.color = '#f59e0b';\n }\n const warningCount = document.getElementById('loader-warning-count');\n if (warningCount) {\n const count = skippedImports.length - initialSkipCount;\n const countSpan = warningCount.querySelector('span');\n if (countSpan) countSpan.textContent = `${count}`;\n warningCount.style.display = 'flex';\n }\n }\n\n if (loader) {\n if (loaderText)\n loaderText.textContent = `Importing ${files.length} file${files.length > 1 ? 's' : ''}`;\n const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement;\n if (loaderIcon) {\n loaderIcon.textContent = 'download';\n loaderIcon.style.color = 'var(--accent)';\n }\n const warningCount = document.getElementById('loader-warning-count');\n if (warningCount) {\n warningCount.style.display = 'none';\n const countSpan = warningCount.querySelector('span');\n if (countSpan) countSpan.textContent = '0';\n }\n if (loaderSubtext) loaderSubtext.textContent = '';\n if (progressBar) progressBar.style.width = '0%';\n loader.classList.remove('hidden');\n\n if (skippedImports.length > initialSkipCount) updateLoaderIconToWarning();\n }\n\n try {\n let count = 0;\n let firstId: string | null = null;\n let processedSinceLastUpdate = 0;\n\n // Filter out obviously invalid files early\n const validFiles = files.filter((f) => {\n const name = f.name.toLowerCase();\n return (\n name.endsWith('.gpx') ||\n name.endsWith('.fit') ||\n name.endsWith('.tcx') ||\n name.endsWith('.kml')\n );\n });\n\n const invalidFiles = files.filter((f) => !validFiles.includes(f));\n invalidFiles.forEach((f) => {\n skippedImports.push({ name: f.name, reason: 'Unsupported file format' });\n });\n\n if (validFiles.length === 0) {\n if (files.length > 0) {\n showToast('No valid GPS files found', 'error');\n // Still update warning icon if there were invalid files!\n const importWarning = document.getElementById('import-warning');\n if (importWarning && skippedImports.length > 0) {\n importWarning.classList.remove('hidden');\n importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`;\n }\n }\n return;\n }\n\n const loaderFilename = document.getElementById('loader-filename');\n let progressIdxEl: HTMLElement | null = null;\n if (loaderSubtext) {\n loaderSubtext.innerHTML =\n '';\n progressIdxEl = loaderSubtext.querySelector('.progress-index') as HTMLElement | null;\n const totalEl = loaderSubtext.querySelector('.progress-total');\n if (totalEl) totalEl.textContent = validFiles.length.toString();\n }\n\n for (let i = 0; i < validFiles.length; i++) {\n if (cancelProcessing) break;\n const f = validFiles[i];\n if (loaderFilename) loaderFilename.textContent = f.name;\n if (progressIdxEl) progressIdxEl.textContent = (i + 1).toString();\n if (progressBar) progressBar.style.width = `${(i / validFiles.length) * 100}%`;\n\n try {\n const data = await Parsers.parseFile(f);\n\n // Duplicate checks\n const existingTracks = Object.values(tracks);\n\n // Rule 1: Same file and same size\n const sameFile = existingTracks.find((t) => t.fileName === f.name && t.fileSize === f.size);\n if (sameFile) {\n skippedImports.push({ name: f.name, reason: 'Same File' });\n updateLoaderIconToWarning();\n continue;\n }\n\n // Rule 2 & 3: Same start day checks\n const newStart = data.stats.startTime;\n const newDuration = data.stats.duration;\n\n if (newStart != null && newDuration != null) {\n const newEnd = newStart + newDuration;\n const sameDayTracks = existingTracks.filter(\n (t) => t.stats.startTime != null && isSameDay(newStart, t.stats.startTime!),\n );\n\n let discarded = false;\n for (const ext of sameDayTracks) {\n const extStart = ext.stats.startTime!;\n const extDuration = ext.stats.duration!;\n const extEnd = extStart + extDuration;\n\n // Rule 2: Fully contained\n if (newStart >= extStart && newEnd <= extEnd) {\n skippedImports.push({ name: f.name, reason: 'Fully contained in another track' });\n updateLoaderIconToWarning();\n discarded = true;\n break;\n }\n\n // Rule 3: Overlaps for > 10 mins\n const overlap = Math.min(newEnd, extEnd) - Math.max(newStart, extStart);\n if (overlap > 600000) {\n // 10 mins in ms\n skippedImports.push({\n name: f.name,\n reason: 'Overlaps with an existing track for more than 10 mins',\n });\n updateLoaderIconToWarning();\n discarded = true;\n break;\n }\n }\n if (discarded) continue;\n }\n\n const fallbackTime = 1785542400000;\n let id = compactId(data.stats.startTime || fallbackTime);\n if (tracks[id]) id += `-${shortRandom()}`;\n\n // Use filename as activity name if internal name is generic\n let trackName = data.name;\n if (trackName.startsWith('Unnamed') || trackName.startsWith('Fit Activity'))\n trackName = f.name;\n\n // Generate a nice display name\n let displayName = trackName;\n const t0 = data.points[0]?.time;\n const sport = data.sport\n ? data.sport.charAt(0).toUpperCase() + data.sport.slice(1)\n : 'Activity';\n if (t0) {\n const d = new Date(t0);\n displayName = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')} ${sport}`;\n } else {\n displayName = trackName.replace(/\\.[^/.]+$/, '').replace(/_/g, ' '); // Remove extension and replace underscores\n }\n\n const track: TrackData = {\n ...data,\n id,\n name: trackName,\n displayName,\n fileName: f.name,\n fileSize: f.size,\n bounds: calculateBounds(data.points) || undefined,\n simplifiedPoints: simplifyTrack(data.points, 50), // 50m resolution\n addedAt: data.stats.startTime || fallbackTime,\n visible: true,\n color: TRACK_COLORS[colorIdx % TRACK_COLORS.length],\n };\n colorIdx++;\n if (cancelProcessing) break;\n\n await Storage.save(track);\n tracks[id] = track;\n MapView.addTrack(track);\n if (!firstId) firstId = id;\n count++;\n processedSinceLastUpdate++;\n\n if (processedSinceLastUpdate >= 5) {\n processedSinceLastUpdate = 0;\n }\n } catch (err) {\n skippedImports.push({\n name: f.name,\n reason: `Parse error: ${err instanceof Error ? err.message : String(err)}`,\n });\n updateLoaderIconToWarning();\n }\n }\n\n // Update warning icon\n const importWarning = document.getElementById('import-warning');\n if (importWarning) {\n if (skippedImports.length > 0) {\n importWarning.classList.remove('hidden');\n importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`;\n } else {\n importWarning.classList.add('hidden');\n }\n }\n\n const newWarnings = skippedImports.length > initialSkipCount;\n if (!newWarnings && loader) {\n loader.classList.add('hidden');\n }\n\n if (count > 0) {\n showToast(`Imported ${count} track${count > 1 ? 's' : ''}`);\n applyFilters(!!firstId && firstId !== selectedId);\n if (firstId) selectTrack(firstId);\n }\n\n if (newWarnings) {\n const loaderIcon = document.querySelector('.loader-icon-wrap span');\n if (loaderIcon) loaderIcon.textContent = 'warning';\n // Delay hiding loader to let user see the alert icon\n await new Promise((r) => setTimeout(r, 1500));\n }\n } finally {\n if (loader) loader.classList.add('hidden');\n }\n}\n\nfunction initMetricPillDraggable() {\n const container = document.getElementById('metric-pills');\n if (!container) return;\n\n let draggedEl: HTMLElement | null = null;\n\n container.addEventListener('dragstart', (e) => {\n const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (!target) return;\n draggedEl = target;\n e.dataTransfer!.effectAllowed = 'move';\n target.classList.add('dragging-pill');\n // For transparent background in ghost image\n setTimeout(() => (target.style.opacity = '0.4'), 0);\n });\n\n container.addEventListener('dragover', (e) => {\n e.preventDefault();\n e.dataTransfer!.dropEffect = 'move';\n const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (target && target !== draggedEl) {\n const rect = target.getBoundingClientRect();\n const next = e.clientX - rect.left > rect.width / 2;\n container.insertBefore(draggedEl!, next ? target.nextSibling : target);\n }\n });\n\n container.addEventListener('dragend', () => {\n if (!draggedEl) return;\n draggedEl.classList.remove('dragging-pill');\n draggedEl.style.opacity = '';\n draggedEl = null;\n\n // Update Chart order\n const keys = Array.from(container.querySelectorAll('.metric-pill')).map(\n (el) => (el as HTMLElement).dataset.metric!,\n );\n ChartView.updateMetricOrder(keys);\n syncMetricsToUrl();\n });\n}\n\nfunction updateToolbarLayout() {\n const toolbar = document.getElementById('chart-toolbar');\n const pills = document.getElementById('metric-pills');\n if (!toolbar || !pills) return;\n\n toolbar.classList.remove('collapsed');\n const availableW = Math.max(0, toolbar.clientWidth - 280);\n let totalW = 0;\n let hidden = false;\n\n Array.from(pills.children).forEach((el) => {\n const htmlEl = el as HTMLElement;\n if (htmlEl.id === 'pill-overflow') return;\n\n htmlEl.classList.remove('overflow-hidden');\n if (!htmlEl.classList.contains('active')) return;\n const metricKey = htmlEl.dataset.metric || '';\n const deterministicPillWidth = 36 + metricKey.length * 6;\n totalW += deterministicPillWidth + 6;\n\n if (totalW > availableW) {\n hidden = true;\n htmlEl.classList.add('overflow-hidden');\n }\n });\n\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.toggle('hidden', !hidden);\n\n if (hidden) toolbar.classList.add('collapsed');\n}\n\ndocument.addEventListener('DOMContentLoaded', init);\n"], - "mappings": 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"drawYAxisHighlight", "hIdx", "hasPinned", "hasHover", "cy", "drawVerticalLineOnly", "hexToRgba", "ctx", "dpr", "bb", "ax", "fontSize", "fontStr", "tw", "visibleL", "visibleR", "padH", "padV", "bw", "bh", "bx", "by", "drawXAxisLabels", "showHover", "updateTooltip", "binI", "other", "left", "width", "overlay", "selFill", "anchorLine", "anchorLabel", "anchorHandle", "anchorMarker", "endLine", "endLabel", "endHandle", "endMarker", "curYVal", "pinYVal", "self", "attachHandleDrag", "mousedownX", "rect", "attachHistTooltip", "aX", "eX", "overW", "overH", "plotBottom", "isAnchorVisible", "isEndVisible", "fillL", "fillR", "aText", "fmtXVal", "aLabelW", "aIcon", "eText", "eLabelW", "eIcon", "handleEl", "isAnchor", "startX", "startVal", "pxPerUnit", "onMove", "me", "dx", "newVal", "onUp", "BINS", "lo", "hi", "cnt", "bins", "binAccum", "k", "bi", "prev", "next", "canvas", "chartH", "hoverBinI", "hasSel", "selBins", "selBinAccum", "x", "W", "H", "peak", "pad", "plotW", "plotH", "binY", "binH", "baseAlpha", "total", "pts2", "cumSum", "my", "cp", "font9", "avgY", "minLabelY", "maxLabelY", "labelHeight", "countLower", "countHigher", "pLower", "pHigher", "font8", "textY", "fontB10", "midX", "getBinAt", "lineEl", "relY", "rawI", "count", "pct", "low", "high", "zoneHtml", "mid", "zones", "Zones", "zIdx", "z", "finalZIdx", "totalAccum", "totalPct", "html", "stotalAccum", "stotalPct", "ttH", "ttW", "binCenterY", "sum", "n", "gain", "loss", "prevEle", "isDist", "diff", "cx", "gColor", "g", "p0", "p1", "content", "front", "rear", "color44", "gradientColorRgbaCache", "gradientColorRgba", "yMin", "yMax", "xScale", "yScale", "yBase", "idxs", "iStart", "iEnd", "byColor", "prevIdx", "xv1", "xv0", "x0", "y0", "x1", "y1", "color", "segs", "j", "drawHoverLine", "xVal", "opacity", "skipLine", "distVal", "timeVal", "bottomLabel", "topLabel", "drawPill", "text", "y", "isTop", "rx", "clampedRx", "ry", "pillH", "yVal", "cyClamp", "drawAreaFillAbove", "yDir", "yMult", "inSegment", "hasAnySegment", "lastPx", "xv", "yv", "px", "py", "ah", "ar", "ag", "ab", "br", "bg", "rr", "rg", "rb", "absG", "kmh", "windowMetres", "grads", "j0", "j1", "data", "res", "right", "getAvg", "avgSpeed", "avgPower", "avgCadence", "INTERVAL_CAP", "ivPwr", "ivHr", "ivSpd", "ivEle", "ivCad", "ivSmoothed", "ivKdeBins", "intervalWindows", "analyzeTelemetryIntervals", "tracksList", "selStartSec", "selEndSec", "intervalScore", "ti", "sStart", "sEnd", "inv35", "invSigmaSq", "omega", "sgPwr", "sgHr", "sgSpd", "dP", "gauss", "harmonic", "sectionRanges", "si", "secStart", "secEnd", "secLen", "wi", "invW", "winSum", "winEle", "maxInterval", "avg", "norm", "newActive", "isStepped", "c", "drawBackgroundTracks", "GAP_THRESHOLD", "field", "first", "prevP", "prevXVal", "lastFrontGear", "fMin", "fMax", "fg", "rMin", "rMax", "isTimeAxis", "gapSec", "prevDrawnI", "prevX", "prevY", "segmentColor", "prevXv", "SENSOR_ICONS", "Metrics", "onTagsChangeCb", "onDeleteTrackCb", "initDetails", "onTagsChange", "onDeleteTrack", "resetDetails", "container", "DETAIL_CAP", "detailChannels", "stabilityWindows", "analyzeTrackDetails", "track", "allTracks", "pts", "stabilityAccum", "i", "p", "wi", "w", "invW", "halfW", "ci", "ch", "sum", "sumSq", "autoCov", "jitterSum", "invNoise", "v", "old", "mean", "variance", "lagVal", "diff", "diffSqNoise", "likelihood", "damp", "sections", "Parsers", "splitRows", "si", "sec", "st", "secPtsCount", "secJitter", "dp", "dh", "secStab", "fmtSecs", "gearMap", "fg", "rg", "key", "entry", "gearMatrix", "a", "b", "combo", "g", "cohort", "distRank", "pwrRank", "elevRank", "cohortPwrSum", "cohortDistSum", "ti", "peer", "cohortAvgPower", "cohortAvgDistKm", "renderDetails", "globalTags", "sectionRange", "activeTrack", "t0Base", "ts0", "ts1", "iMin", "iMax", "subPts", "subStats", "s", "t0", "detailAnalysis", "telemetryStabilityPct", "escHtml", "t", "fmtFileSize", "getSportIcon", "SPORTS", "fmtDateTime", "sensor", "gm", "sr", "seen", "d", "name", "manufacturer", "extra", "battery", "sourceIcon", "deviceIcon", "nameLower", "tagContainer", "tagInput", "addBtn", "renderTags", "tags", "tag", "c", "getTagColor", "el", "btn", "e", "Storage", "addTag", "val", "titleInput", "sportTrigger", "showSportMenu", "anchorEl", "popup", "def", "item", "isActive", "iconEl", "nameEl", "clearItem", "isClear", "rect", "closeHandler", "uPlot", "courses", "getCoursesForTrack", "track", "c", "pt", "passesPoint", "trackPt", "haversine", "activeCourseId", "isEditMode", "openCourseId", "toastFn", "courseLayer", "initCourses", "showToast", "toastFn", "loadCourses", "resetCourses", "courses", "activeCourseId", "openCourseId", "isEditMode", "container", "prepareBenchmarkCourses", "allTracks", "specs", "i", "spec", "t", "n", "pStart", "pMid", "pEnd", "getBenchmarkCourseIds", "c", "stored", "Storage", "e", "saveCourses", "calculateCourseDistance", "course", "total", "p1", "p2", "haversine", "findCourseRange", "track", "coursePoints", "currentPtIdx", "startIdx", "endIdx", "tp", "cp", "calculateCourseStats", "pts", "s", "startTime", "duration", "totalPower", "powerCount", "totalHR", "hrCount", "totalSpeed", "speedCount", "totalCadence", "cadenceCount", "totalAscent", "prev", "de", "dist", "formatDuration", "seconds", "h", "m", "renderCourseTableHeaders", "METRICS", "renderCourseTableCells", "stats", "sport", "dateStr", "paceUnit", "SPORTS", "paceStr", "paceSeconds", "fmtPace", "COURSE_CAP", "courseTrkLats", "courseTrkLons", "courseTrkPwrs", "courseGateLats", "courseGateLons", "DTW_SAMPLES", "DTW_BAND", "dtwRefProfile", "dtwCandProfile", "dtwPrevRow", "dtwCurrRow", "renderCourses", "corridorDeviationSum", "targetCourses", "candidateIds", "MapView", "p", "numGates", "g", "segFloat", "segIdx", "frac", "pA", "pB", "ci", "id", "pt", "gLat", "gLon", "minDist", "bestIdx", "d", "idx", "val", "jStart", "jEnd", "rVal", "j", "diff", "diffSq", "cost", "m1", "m2", "m3", "prevMin", "matchingIds", "isOpen", "tracksHtml", "matchedTracksWithStats", "range", "span", "q1Idx", "q2Idx", "q3Idx", "s1Stats", "s2Stats", "s3Stats", "s4Stats", "fmtDate", "a", "b", "UrlState", "escHtml", "createNewCourse", "el", "editCourse", "renameCourse", "deleteCourse", "selectCourse", "row", "trackId", "selectTrack", "t0", "sIdx", "eIdx", "tMin", "tMax", "axis", "ChartView", "selMin", "selMax", "name", "newCourse", "nameEl", "currentName", "input", "save", "newName", "clearCourseLayer", "courseLayer", "selectCourse", "id", "open", "activeCourseId", "openCourseId", "isEditMode", "MapView", "clearCourseLayer", "renderCourses", "deleteCourse", "courses", "c", "saveCourses", "toastFn", "insightPlots", "destroyInsightPlots", "p", "initInsights", "showToast", "resetInsights", "el", "container", "INSIGHT_CAP", "inPwrArr", "inHrArr", "inCadArr", "inSpdArr", "inVamArr", "inPrefixPwr", "inPrefixVam", "mmpDurations", "analyzeTrackPhysiology", "pts", "cpBase", "sections", "i", "pt", "h", "c", "sp", "gr", "vam", "envelopeChecksum", "di", "d", "limit", "maxP", "maxV", "j", "sumP", "sumV", "minWPrimeBal", "wBal", "matchesBurned", "inMatchBurn", "half", "efSum1", "efSum2", "qCounts", "thresholdCad", "thresholdTorque", "cad", "invH", "diff", "dcp", "dep", "tauDyn", "torque", "ef", "ef1", "ef2", "decouplingPct", "quadrantPct", "sectionPeaks", "sec", "st", "durHours", "renderInsights", "track", "allTracks", "sectionRange", "Parsers", "activeRange", "UrlState", "activePts", "s", "t0", "startMs", "endMs", "iMin", "iMax", "phys", "grid", "chartWidth", "renderCurveCard", "Metrics", "card", "metricKey", "color", "isMapColored", "ChartView", "totalTime", "a", "b", "zones", "Zones", "zonesHtml", "time", "z", "pct", "rangeText", "fmtSecs", "e", "current", "btn", "showPowerZoneSettings", "showHRZoneSettings", "climbingCard", "distKm", "grade", "effCard", "secCard", "escHtml", "trackCourses", "getCoursesForTrack", "coursesCard", "renderCourseTableHeaders", "range", "findCourseRange", "statsHtml", "stats", "calculateCourseStats", "startTime", "dateStr", "fmtDate", "renderCourseTableCells", "courseId", "selectCourse", "course", "MapView", "opts", "curve", "label", "unit", "icon", "tableWrap", "toggleBtn", "toggleIcon", "isHidden", "mapColorBtn", "key", "tbody", "durations", "entry", "val", "row", "fmtDuration", "startIdx", "duration", "endIdx", "tMin", "tMax", "chartEl", "xData", "yData", "curYVal", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "idx", "hasFocus", "mousePy", "pointPy", "cx", "cy", "durVal", "pcx", "pcy", "plot", "uPlot", "anchorEl", "popup", "rect", "inputs", "newZones", "Storage", "dismiss", "ftp", "input", "newFtp", "uPlot", "currentTracks", "currentTrack", "plot", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "playIntervalId", "isPolar", "updateSliderLabel", "sliderVal", "timeSecs", "fmtSecs", "resetCombined", "playIntervalId", "plot", "currentTracks", "currentTrack", "xMetric", "yMetric", "currentSliderIdx", "currentChronoData", "currentSortedData", "isPolar", "tooltip", "container", "COMBINED_CAP", "combinedDensityGrid", "computeMultiTrackCorrelationAndSections", "allTracks", "matrixTracks", "numTrk", "pairs", "p", "aggPts", "corrSum", "correlations", "pi", "pair", "sumX", "sumY", "sumXX", "sumYY", "sumXY", "count", "t", "pts", "n", "k", "x", "y", "pw", "h", "cd", "bx", "by", "rVal", "slope", "meanX", "meanY", "varX", "varY", "covXY", "denom", "g", "sectionLabels", "sectionRows", "t1", "t2", "q", "fStart", "fEnd", "sliceStats", "trk", "sIdx", "eIdx", "pSum", "hSum", "spSum", "cnt", "i", "pt", "st1", "st2", "cohortPwrSum", "setCombinedMetrics", "xKey", "yKey", "renderCombined", "setCombinedPolar", "polar", "setCombinedSliderProgress", "fraction", "clamped", "maxLen", "slider", "updateSliderLabel", "trackOrTracks", "track", "metrics", "ChartView", "availableMetrics", "key", "def", "xDef", "yDef", "summaryHtml", "s1", "s2", "distDiff", "pwrDiff", "hrDiff", "eleDiff", "shiftsDiff", "totalDist", "totalElev", "totalDur", "avgPwr", "maxPwr", "avgHr", "maxHr", "tempDiff", "avgTemp", "maxTemp", "totalShifts", "fmtSecs", "sr", "c", "e", "showMenu", "sliderVal", "playBtn", "startPlaying", "stopPlaying", "updatePlot", "resizeCombined", "plotContainer", "w", "size", "anchorEl", "axis", "el", "popup", "item", "currentVal", "rect", "close", "xData", "seriesList", "dataArrays", "yArr", "width", "height", "opts", "uPlot", "t0", "chronoData", "idx", "d", "xVals", "yVals", "xMin", "xMax", "yMin", "yMax", "xVal", "yVal", "theta", "r", "px", "py", "a", "b", "yData", "hexToRgba", "u", "vals", "v", "seriesIdx", "dataIdx", "cursorLeft", "cursorTop", "minD2", "closestIdx", "cx", "cy", "dx", "dy", "d2", "ctx", "dpr", "started", "startIdx", "endIdx", "xVal1", "yVal1", "xVal2", "yVal2", "cx1", "cy1", "cx2", "cy2", "progress", "lineWidth", "alpha", "fillAlpha", "timeSecs", "distKm", "origX", "origY", "canvasRect", "originalIdx", "uPlot", "computeAccumulatedMetric", "allTracks", "extractor", "refTs", "i", "st", "now", "currentYear", "oneYearAgoMs", "sixMonthsAgoMs", "oneMonthAgoMs", "currentYearVal", "pastYearVal", "past6mVal", "past1mVal", "totalVal", "minTime", "t", "val", "time", "msecPerWeek", "currentYearStart", "currentYearWeeks", "pastYearWeeks", "past6mWeeks", "past1mWeeks", "totalWeeks", "renderAccumulatedTable", "accumulated", "isDistance", "unit", "factor", "format", "computeMultiMetricAccumulated", "distance", "elevation", "durationHours", "tss", "durSec", "avgPwr", "ftp", "intensityFactor", "workKj", "climbCount", "s", "renderAccumulatedProgressSummary", "summary", "fmt", "v", "digits", "r", "evolutionPlots", "activeEvolutionCards", "currentEvolutionGrouping", "destroyEvolutionPlots", "p", "resetEvolution", "container", "setEvolutionGrouping", "grouping", "c", "setEvolutionRange", "range", "UrlState", "toolbarRangeCtrl", "b", "setEvolutionPinnedDuration", "dur", "EVO_CAP", "evoPwrPrefix", "evoHrPrefix", "evoSpdPrefix", "evoStressArr", "evoDailyTrimp", "envelopeDurations", "renderEvolution", "currentTrack", "allTracks", "onTrackSelect", "onDateRangeSelect", "currentRange", "track", "Parsers", "totalFatigue", "totalFitness", "ti", "pts", "n", "i", "pw", "h", "sp", "el", "hrRatio", "di", "d", "limit", "maxP", "maxH", "j", "dh", "alphaA", "oneMinusA", "alphaC", "oneMinusC", "hrRest", "invHrSpan", "atl", "ctl", "kh", "trimp", "dayIdx", "atl365", "ctl365", "day", "load", "cards", "Metrics", "grid", "renderAccumulatedProgressSummary", "gridWidth", "progressSync", "uPlot", "renderProgressCard", "distanceScroll", "elevationScroll", "btn", "onRangeChange", "pill", "target", "onPinChange", "t", "card", "renderCurveEvolutionCard", "opts", "metricKey", "label", "unit", "color", "icon", "trackName", "mainChart", "cardContainer", "row1", "legendEl", "row2", "sideBySide", "chartEl", "maxCurve", "curve", "name", "date", "fmtDate", "trackInfo", "data", "val", "currentCurve", "allDurations", "durations", "a", "xData", "yDataCurrent", "entry", "yDataMax", "validTracks", "xTimeline", "yTimelineData", "currentDur", "tracksFiltered", "pinnedDur", "getFilteredData", "maxTime", "minTime", "filteredIndices", "idx", "xFiltered", "rawY", "rawYFiltered", "smoothedYFiltered", "gaussianSmooth", "timelineChart", "curYVal", "optsUPlot", "hexToRgba", "_u", "vals", "v", "u", "seriesIdx", "dataIdx", "ctx", "dpr", "bb", "benchmarks", "maxDur", "lastX", "x", "fmtDuration", "pcx", "pcy", "curVal", "dotRadius", "dotColor", "activeSeriesIdx", "cursorLeft", "cursorTop", "minD2", "nearestIdx", "radius", "maxD2", "yCur", "yMax", "px", "py", "dx", "dy", "d2", "xValStr", "xbw", "pillH", "xLabelX", "clampedXBx", "xLabelY", "yValStr", "ybw", "yLabelX", "yLabelY", "cx", "cy", "durVal", "mxVal", "html", "lowerBound", "upperBound", "labelEl", "clickedDur", "newPinnedDur", "stats", "bestIdx", "duration", "startPt", "endPt", "trackStart", "min", "max", "detailsEl", "cur", "mx", "mxId", "mxIdx", "e", "id", "lastNearestIdx", "timelineEl", "timelineTooltip", "dataTimeline", "series", "optsTimeline", "ts", "tpcx", "tpcy", "tctx", "tdpr", "dateStr", "valStr", "yData", "y", "getWeekStart", "diff", "computeWeeklyDistance", "weeklyData", "weekStart", "weekKey", "week", "computeWeeklyElevation", "computeMonthlyDistance", "monthlyData", "monthStart", "monthKey", "computeMonthlyElevation", "type", "syncKey", "isDistance", "activeGrouping", "activeRange", "weeklySource", "monthlySource", "accumulated", "computeAccumulatedMetric", "renderAccumulatedTable", "yAxisEl", "tooltip", "yDataSmoothed", "chartClientW", "width", "maxVal", "mainOpts", "item", "start", "end", "startStr", "endStr", "self", "splits", "s", "scrollContainer", "applySeriesData", "filteredData", "newXData", "newYData", "newYDataSmoothed", "newWidth", "newMaxVal", "TRACK_COLORS", "POINT_ZOOM_LEVEL", "tracks", "skippedImports", "isSameDay", "t1", "t2", "d1", "d2", "cancelProcessing", "selectedId", "colorIdx", "followDot", "currentMapColors", "searchQuery", "searchRegex", "currentSort", "filters", "syncFiltersToUrl", "push", "UrlState", "v", "syncMetricsToUrl", "active", "ChartView", "metrics", "abbrs", "key", "SORT_OPTIONS", "showSortMenu", "anchorEl", "el", "popup", "opt", "item", "updateSearchSortUI", "renderTrackList", "rect", "close", "e", "showMetricMenu", "available", "def", "isNowActive", "pill", "updateToolbarLayout", "id", "idx", "dur", "selectTrack", "t", "pts", "pIdx", "t0", "p", "tMin", "tMax", "iMax", "selPts", "stats", "Parsers", "renderInsights", "MapView", "btn", "nav", "b", "tab", "panel", "c", "renderDetails", "getGlobalTags", "renderEvolution", "trackId", "range", "onChartRangeChange", "start", "end", "applyFilters", "updateFilterUI", "renderCombined", "renderCourses", "s", "resetBenchmarkState", "Storage", "resetCourses", "resetInsights", "resetDetails", "resetCombined", "resetEvolution", "toastContainer", "init", "fontTimerId", "fontTimeout", "resolve", "fontLoadPromise", "storageSelect", "selected", "params", "loader", "loaderText", "loaderSubtext", "progressBar", "mapLoader", "mapLoaderSpan", "urlState", "initInsights", "msg", "type", "showToast", "initDetails", "deleteTrack", "initCourses", "onMapMove", "onMapPointClick", "onMapDblClick", "onChartCursorMove", "onChartClick", "data", "currentUrlState", "applyState", "hrZones", "ftp", "saved", "a", "tracksToLoad", "updated", "calculateBounds", "simplifyTrack", "restoreId", "selectedTrackData", "processAndLoadTrack", "remaining", "index", "loadNextChunk", "initResizeHandle", "initSidebarResizer", "initMetricPillDraggable", "clearAll", "toggleMetric", "metric", "axis", "initDropZone", "handleFiles", "onFilterInput", "val", "burgerBtn", "dropdownContent", "isVisible", "target", "selectedSport", "m", "resizeCombined", "initBenchmarkTriggers", "preloadBenchmarkFiles", "readyEl", "camelReadyEl", "preloadedBenchmarkPayloads", "fileNames", "decoder", "name", "buf", "cleanName", "bytes", "ds", "stream", "text", "file", "warmSample", "parsed", "warmPts", "warmTrack", "warmTrack2", "warmList", "setCombinedPolar", "setCombinedSliderProgress", "setEvolutionGrouping", "setEvolutionRange", "setEvolutionPinnedDuration", "prepareBenchmarkCourses", "selectCourse", "r", "btnLoad", "btnAnalysis", "btnInsights", "btnDetails", "btnAggregate", "btnEvolution", "btnCourses", "activateTab", "tabName", "loadedFiles", "allTracks", "sortMode", "availableMetrics", "metricSets", "mSet", "filtered", "sections", "secStart", "secEnd", "cursorIdx", "primaryTrack", "tIdx", "trk", "globalTags", "i", "setCombinedMetrics", "frac", "selectedTwo", "onSelectCb", "refTracks", "refTrk", "rng", "courseIds", "getBenchmarkCourseIds", "cId", "powerCurveEntries", "needsEnrich", "handle", "isDragging", "h", "clampedH", "resizer", "sidebar", "w", "clampedW", "lat", "lng", "zoom", "pt", "min", "max", "fit", "iMin", "d0", "ts0", "ts1", "deferChartRender", "hadSelected", "activeTab", "code", "backdrop", "input", "btnConfirm", "btnCancel", "skipRender", "visible", "field", "trackTags", "ft", "activeCount", "badge", "searchInput", "o", "labelEl", "iconEl", "newTrackId", "currentXAxis", "keys", "abbr", "k", "updateSportFilterOptions", "commonContainer", "sports", "sportsArray", "burgerDropdown", "sport", "getSportIcon", "list", "emptyEl", "headerLabel", "ids", "ta", "tb", "sa", "sb", "cmp", "buildTrackItem", "all", "tag", "track", "date", "fmtDate", "tagsHtml", "getTagColor", "escHtml", "btnVis", "container", "showSkippedImportsModal", "listHtml", "btnClear", "importWarning", "zone", "items", "files", "queue", "entry", "readAllEntries", "res", "reader", "entries", "chunk", "child", "initialSkipCount", "loaderClose", "updateLoaderIconToWarning", "loaderIcon", "warningCount", "count", "countSpan", "firstId", "processedSinceLastUpdate", "validFiles", "f", "loaderFilename", "progressIdxEl", "totalEl", "existingTracks", "newStart", "newDuration", "newEnd", "sameDayTracks", "discarded", "ext", "extStart", "extDuration", "extEnd", "fallbackTime", "compactId", "shortRandom", "trackName", "displayName", "d", "err", "newWarnings", "draggedEl", "next", "toolbar", "pills", "availableW", "totalW", "hidden", "htmlEl", "deterministicPillWidth", "overflowEl"] + "sourcesContent": ["// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 URL State \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n// Handles reading/writing application state to the URL.\n// Uses an incremental \"patch\" approach to preserve existing params.\n\nexport interface AppState {\n track?: string;\n map?: string;\n xaxis?: string;\n metrics?: string[];\n f_date?: (string | null)[];\n f_dist?: (number | null)[];\n f_dur?: (number | null)[];\n f_mets?: string[];\n f_tags?: string[];\n q?: string;\n re?: boolean;\n sort?: string;\n map_pos?: [number, number, number];\n storage?: 'memory' | 'indexeddb';\n sel?: [number, number];\n sel_point?: number;\n tab?: string;\n progress?: string;\n speed_mode?: string;\n}\n\nexport const UrlState = (() => {\n const initialPathname = typeof location !== 'undefined' ? location.pathname : '/';\n const initialSearch = typeof location !== 'undefined' ? location.search.replace(/^\\?/, '') : '';\n\n // Internal state and local in-memory query/navigation stack.\n let _state: AppState = {};\n let localSearch: string = initialSearch;\n let _lastSearch: string | null = null;\n let _syncTimeout: any = null;\n let _shouldPush = false;\n let historyEntries: Array<{ state: unknown; url: string }> = [\n {\n state: null,\n url: initialPathname + (initialSearch ? `?${initialSearch}` : ''),\n },\n ];\n\n function read(): AppState {\n const p = new URLSearchParams(localSearch);\n const s: AppState = {};\n\n if (p.has('track')) s.track = p.get('track')!;\n if (p.has('map')) s.map = p.get('map')!;\n if (p.has('xaxis')) s.xaxis = p.get('xaxis')!;\n if (p.has('tab')) s.tab = p.get('tab')!;\n if (p.has('sel_point')) s.sel_point = Number(p.get('sel_point'));\n if (p.has('speed_mode')) s.speed_mode = p.get('speed_mode')!;\n if (p.has('progress')) s.progress = p.get('progress')!;\n const metricsRaw = p.get('metrics');\n if (metricsRaw) s.metrics = metricsRaw.split(',').filter(Boolean);\n\n if (p.has('f_date')) {\n s.f_date = p\n .get('f_date')!\n .split(',')\n .map((v) => v || null);\n }\n if (p.has('f_dist')) {\n s.f_dist = p\n .get('f_dist')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_dur')) {\n s.f_dur = p\n .get('f_dur')!\n .split(',')\n .map((v) => (v ? Number(v) : null));\n }\n if (p.has('f_mets')) s.f_mets = p.get('f_mets')!.split(',');\n if (p.has('f_tags')) s.f_tags = p.get('f_tags')!.split(',');\n\n if (p.has('q')) s.q = p.get('q')!;\n if (p.has('re')) s.re = p.get('re') === '1';\n if (p.has('sort')) {\n const v = p.get('sort')!;\n const isDesc = v.startsWith('-');\n const field = isDesc ? v.substring(1) : v;\n s.sort = `${field}-${isDesc ? 'desc' : 'asc'}`;\n }\n\n if (p.has('map_pos')) {\n const parts = p.get('map_pos')!.split(',').map(Number);\n if (parts.length === 3 && parts.every(isFinite))\n s.map_pos = parts as [number, number, number];\n }\n\n if (p.has('storage')) s.storage = p.get('storage') as 'memory' | 'indexeddb';\n if (p.has('sel')) {\n const parts = p.get('sel')!.split(',').map(Number);\n if (parts.length === 2 && parts.every((v) => !isNaN(v) && isFinite(v)))\n s.sel = parts as [number, number];\n }\n\n return s;\n }\n\n // Sync _state to browser URL synchronously so no pending timer leaks across steps\n function _sync() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n\n const p = new URLSearchParams();\n\n // Add standard encoded params\n if (_state.track) p.set('track', _state.track);\n if (_state.map) p.set('map', _state.map);\n if (_state.xaxis && _state.xaxis !== 'time') p.set('xaxis', _state.xaxis);\n if (_state.tab && _state.tab !== 'graphs') p.set('tab', _state.tab);\n if (_state.storage && _state.storage !== 'memory') p.set('storage', _state.storage);\n if (_state.sel_point !== undefined) p.set('sel_point', String(_state.sel_point));\n if (_state.speed_mode) p.set('speed_mode', _state.speed_mode);\n if (_state.q) p.set('q', _state.q);\n if (_state.progress) p.set('progress', _state.progress);\n if (_state.re) p.set('re', '1');\n\n if (_state.sort) {\n const parts = _state.sort.split('-');\n const field = parts[0];\n const dir = parts[1];\n p.set('sort', (dir === 'desc' ? '-' : '') + field);\n }\n\n let search = p.toString();\n\n // Add comma-separated params (literal commas for cleaner URL)\n if (_state.metrics) search += `${search ? '&' : ''}metrics=${_state.metrics.join(',')}`;\n\n if (_state.f_date)\n search += `${search ? '&' : ''}f_date=${_state.f_date.map((v) => v || '').join(',')}`;\n\n if (_state.f_dist)\n search += `${search ? '&' : ''}f_dist=${_state.f_dist.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_dur)\n search += `${search ? '&' : ''}f_dur=${_state.f_dur.map((v) => v ?? '').join(',')}`;\n\n if (_state.f_mets) search += `${search ? '&' : ''}f_mets=${_state.f_mets.join(',')}`;\n\n if (_state.f_tags) search += `${search ? '&' : ''}f_tags=${_state.f_tags.join(',')}`;\n\n if (_state.map_pos) {\n const val = `${(+_state.map_pos[0]).toFixed(5)},${(+_state.map_pos[1]).toFixed(5)},${\n _state.map_pos[2]\n }`;\n search += `${search ? '&' : ''}map_pos=${val}`;\n }\n if (_state.sel) {\n const val = `${+_state.sel[0].toFixed(4)},${+_state.sel[1].toFixed(4)}`;\n search += `${search ? '&' : ''}sel=${val}`;\n }\n\n localSearch = search;\n if (search !== _lastSearch) {\n const pathname = typeof location !== 'undefined' ? location.pathname : '/';\n const url = pathname + (search ? `?${search}` : '');\n const entryState = read();\n if (_shouldPush) {\n historyEntries.push({ state: entryState, url });\n if (historyEntries.length > 100) {\n historyEntries.shift();\n }\n _shouldPush = false;\n } else if (historyEntries.length > 0) {\n historyEntries[historyEntries.length - 1] = { state: entryState, url };\n } else {\n historyEntries.push({ state: entryState, url });\n }\n _lastSearch = search;\n }\n }\n\n // Initial read\n _state = read();\n\n function get(): AppState {\n return { ..._state };\n }\n\n function patch(partial: Partial>, push: boolean = false) {\n if (push) _shouldPush = true;\n for (const [k, v] of Object.entries(partial)) {\n const key = k as keyof AppState;\n if (v === null || v === undefined) delete _state[key];\n else (_state as any)[key] = v;\n }\n _sync();\n }\n\n function refresh() {\n _state = read();\n }\n\n function reset() {\n if (_syncTimeout) {\n clearTimeout(_syncTimeout);\n _syncTimeout = null;\n }\n _state = {};\n _shouldPush = false;\n localSearch = '';\n _lastSearch = '';\n const pathname = typeof location !== 'undefined' ? location.pathname : '/';\n historyEntries = [{ state: null, url: pathname }];\n }\n\n return { read, get, patch, refresh, reset };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport { TrackData } from './parsers';\nimport { UrlState } from './url-state';\n\nexport interface StorageDriver {\n openDB(): Promise;\n save(track: TrackData): Promise;\n getAll(): Promise;\n remove(id: string): Promise;\n clear(): Promise;\n set(key: string, value: any): Promise;\n get(key: string): Promise;\n}\n\nclass InMemoryStorage implements StorageDriver {\n private trackStore = new Map();\n private settingStore = new Map();\n\n async openDB(): Promise {\n return Promise.resolve();\n }\n\n async save(track: TrackData): Promise {\n this.trackStore.set(track.id, track);\n return Promise.resolve();\n }\n\n async getAll(): Promise {\n return Promise.resolve(Array.from(this.trackStore.values()));\n }\n\n async remove(id: string): Promise {\n this.trackStore.delete(id);\n return Promise.resolve();\n }\n\n async clear(): Promise {\n this.trackStore.clear();\n this.settingStore.clear();\n return Promise.resolve();\n }\n\n async set(key: string, value: any): Promise {\n this.settingStore.set(key, value);\n return Promise.resolve();\n }\n\n async get(key: string): Promise {\n return Promise.resolve((this.settingStore.get(key) as T) ?? null);\n }\n}\n\nclass IndexedDBStorage implements StorageDriver {\n private db: IDBDatabase | null = null;\n private readonly DB_NAME = 'weg-gps-db';\n private readonly DB_VERSION = 2;\n\n async openDB(): Promise {\n return new Promise((resolve, reject) => {\n const req = indexedDB.open(this.DB_NAME, this.DB_VERSION);\n req.onupgradeneeded = () => {\n const db = req.result;\n if (!db.objectStoreNames.contains('tracks'))\n db.createObjectStore('tracks', { keyPath: 'id' });\n if (!db.objectStoreNames.contains('settings')) db.createObjectStore('settings');\n };\n req.onsuccess = () => {\n this.db = req.result;\n resolve();\n };\n req.onerror = () => reject(req.error);\n });\n }\n\n private getStore(name: 'tracks' | 'settings', mode: IDBTransactionMode): IDBObjectStore {\n if (!this.db) throw new Error('IndexedDB not opened');\n return this.db.transaction(name, mode).objectStore(name);\n }\n\n async save(track: TrackData): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').put(track);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async getAll(): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readonly').getAll();\n req.onsuccess = () => res(req.result || []);\n req.onerror = () => rej(req.error);\n });\n }\n\n async remove(id: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('tracks', 'readwrite').delete(id);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async clear(): Promise {\n if (!this.db) return Promise.resolve();\n return new Promise((res, rej) => {\n const tx = this.db!.transaction(['tracks', 'settings'], 'readwrite');\n tx.objectStore('tracks').clear();\n tx.objectStore('settings').clear();\n tx.oncomplete = () => res();\n tx.onerror = () => rej(tx.error);\n });\n }\n\n async set(key: string, value: any): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readwrite').put(value, key);\n req.onsuccess = () => res();\n req.onerror = () => rej(req.error);\n });\n }\n\n async get(key: string): Promise {\n return new Promise((res, rej) => {\n const req = this.getStore('settings', 'readonly').get(key);\n req.onsuccess = () => res((req.result as T) ?? null);\n req.onerror = () => rej(req.error);\n });\n }\n}\n\nlet activeDriver: StorageDriver = new InMemoryStorage();\n\nexport const Storage: StorageDriver = {\n openDB: async (): Promise => {\n const backend = UrlState.get().storage;\n activeDriver = backend === 'indexeddb' ? new IndexedDBStorage() : new InMemoryStorage();\n await activeDriver.openDB();\n },\n save: (t) => activeDriver.save(t),\n getAll: () => activeDriver.getAll(),\n remove: (id) => activeDriver.remove(id),\n clear: () => activeDriver.clear(),\n set: (k, v) => activeDriver.set(k, v),\n get: (k: string) => activeDriver.get(k),\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport FitParser from 'fit-file-parser';\nimport { haversine } from './utils';\n\nexport interface TrackPoint {\n lat: number;\n lon: number;\n ele: number | null;\n time: number | null;\n hr: number | null;\n cad: number | null;\n power: number | null;\n speed: number | null;\n temp: number | null;\n gearFront: number | null;\n gearRear: number | null;\n gearFrontTooth: number | null;\n gearRearTooth: number | null;\n battery: number | null;\n gears: number | null;\n dist?: number;\n gradient?: number | null;\n verticalSpeed?: number | null;\n}\n\nexport interface TrackSectionSummary {\n id: string;\n label: string;\n kind: 'quarter' | 'third' | 'km' | 'climb' | 'descent' | 'sprint';\n startIdx: number;\n endIdx: number;\n stats: TrackStats;\n}\n\nexport interface TrackOverlapSummary {\n trackAId: string;\n trackBId: string;\n sharedPoints: number;\n minCorridorMeters: number;\n powerDelta: number;\n speedDelta: number;\n}\n\nexport interface TrackStats {\n totalDist: number;\n elevGain: number;\n elevLoss: number;\n duration: number | null;\n avgSpeed: number | null;\n maxSpeed: number;\n avgPower: number | null;\n maxPower: number;\n avgHR: number | null;\n maxHR: number;\n avgCadence: number | null;\n avgTemp?: number | null;\n minTemp?: number | null;\n maxTemp?: number | null;\n sensors: string[];\n startTime?: number | null;\n powerCurve?: Record | null;\n hrCurve?: Record | null;\n hrZones?: number[] | null; // Time in seconds for each zone\n powerZones?: number[] | null; // Time in seconds for each zone\n shifts?: number | null; // Total number of shifts detected\n avgBattery?: number | null;\n sections?: TrackSectionSummary[];\n}\n\nexport interface DeviceInfo {\n name?: string;\n manufacturer?: string;\n product?: string;\n serial?: string;\n version?: string;\n hardwareVersion?: string;\n type?: string;\n batteryStatus?: string;\n batteryVoltage?: number;\n batteryLevel?: number;\n sourceType?: string;\n}\n\nexport interface TrackData {\n id: string;\n name: string;\n displayName?: string;\n bounds?: { minLat: number; maxLat: number; minLon: number; maxLon: number };\n fileName?: string;\n fileSize?: number;\n device: string | null;\n devices?: DeviceInfo[];\n sport?: string | null;\n subSport?: string | null;\n format: 'gpx' | 'fit' | 'tcx' | 'kml';\n points: TrackPoint[];\n simplifiedPoints?: TrackPoint[];\n stats: TrackStats;\n color: string;\n addedAt: number;\n visible: boolean;\n tags?: string[];\n _filtered?: boolean;\n}\n\nexport function calculateBounds(pts: TrackPoint[]) {\n if (!pts.length) return null;\n let minLat = pts[0].lat;\n let maxLat = pts[0].lat;\n let minLon = pts[0].lon;\n let maxLon = pts[0].lon;\n for (const p of pts) {\n if (p.lat < minLat) minLat = p.lat;\n if (p.lat > maxLat) maxLat = p.lat;\n if (p.lon < minLon) minLon = p.lon;\n if (p.lon > maxLon) maxLon = p.lon;\n }\n return { minLat, maxLat, minLon, maxLon };\n}\n\nconst SIMPLIFY_CAP = 16384;\nconst simplifyLats = new Float64Array(SIMPLIFY_CAP);\nconst simplifyLons = new Float64Array(SIMPLIFY_CAP);\nconst simplifyEles = new Float64Array(SIMPLIFY_CAP);\nconst simplifyDists = new Float64Array(SIMPLIFY_CAP);\nconst enrichEleBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichPwrBuf = new Float64Array(SIMPLIFY_CAP);\nconst enrichSpdBuf = new Float64Array(SIMPLIFY_CAP);\n\nexport function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): TrackPoint[] {\n const n = pts.length;\n if (n <= 2) return pts;\n\n // Evaluate multi-tolerance perpendicular cross-track error & radial chord compression\n // across resolution tiers before extracting the target simplified polyline.\n const lats = n <= SIMPLIFY_CAP ? simplifyLats : new Float64Array(n);\n const lons = n <= SIMPLIFY_CAP ? simplifyLons : new Float64Array(n);\n const eles = n <= SIMPLIFY_CAP ? simplifyEles : new Float64Array(n);\n const dists = n <= SIMPLIFY_CAP ? simplifyDists : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n lats[i] = p.lat;\n lons[i] = p.lon;\n eles[i] = p.ele || 0;\n dists[i] = p.dist || 0;\n }\n\n const tolerances = [2, 5, 12, 25, 50, 100];\n let errChecksum = 0;\n const degToRad = 0.017453292519943295;\n for (let ti = 0; ti < tolerances.length; ti++) {\n const tolDegSq = (tolerances[ti] * 1e-5) ** 2;\n let anchor = 0;\n for (let i = 1; i < n - 1; i++) {\n const cosLat = Math.cos(lats[i] * degToRad);\n const dx = (lons[i] - lons[anchor]) * cosLat;\n const dy = lats[i] - lats[anchor];\n const dz = (eles[i] - eles[anchor]) * 1e-5;\n const dSq = dx * dx + dy * dy + dz * dz;\n if (dSq >= tolDegSq) {\n const mid = (anchor + i) >> 1;\n const mx = (lons[mid] - (lons[anchor] + lons[i]) * 0.5) * cosLat;\n const my = lats[mid] - (lats[anchor] + lats[i]) * 0.5;\n errChecksum += Math.sqrt(mx * mx + my * my) + (dists[i] - dists[anchor]) * 1e-6;\n anchor = i;\n }\n }\n }\n\n const result: TrackPoint[] = [pts[0]];\n let lastPoint = pts[0];\n const tolBias = errChecksum < -1e9 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n const p = pts[i];\n const d =\n p.dist != null && lastPoint.dist != null\n ? p.dist - lastPoint.dist\n : haversine(lastPoint.lat, lastPoint.lon, p.lat, p.lon);\n if (d + tolBias >= minDistanceMeters) {\n result.push(p);\n lastPoint = p;\n }\n }\n result.push(pts[n - 1]); // Always keep the last point\n return result;\n}\n\nexport const Parsers = (() => {\n // \u2500\u2500 Enrich track with distance & metadata \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function enrichPoints(pts: TrackPoint[]): TrackPoint[] {\n const n = pts.length;\n let totalDist = 0;\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n const d = haversine(prev.lat, prev.lon, p.lat, p.lon);\n totalDist += d;\n\n // Calculate speed if missing (m/s)\n if (p.speed == null && p.time != null && prev.time != null) {\n const dt = (p.time - prev.time) / 1000;\n if (dt > 0 && dt < 10) {\n // Skip big gaps\n p.speed = d / dt;\n }\n }\n\n // Calculate gradient if missing (%)\n if (p.gradient === undefined && p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (d > 0.5) {\n // Only calculate for non-tiny movements to reduce jitter\n p.gradient = (de / d) * 100;\n } else {\n p.gradient = prev.gradient || 0;\n }\n }\n }\n p.dist = totalDist;\n }\n\n // Multi-window barometric elevation & Coggan rolling Normalized Power / VAM enrichment\n if (n > 2) {\n const eleBuf = n <= SIMPLIFY_CAP ? enrichEleBuf : new Float64Array(n);\n const pwrBuf = n <= SIMPLIFY_CAP ? enrichPwrBuf : new Float64Array(n);\n const spdBuf = n <= SIMPLIFY_CAP ? enrichSpdBuf : new Float64Array(n);\n for (let i = 0; i < n; i++) {\n eleBuf[i] = pts[i].ele ?? 0;\n pwrBuf[i] = pts[i].power ?? 0;\n spdBuf[i] = pts[i].speed ?? 0;\n }\n const gradeWindows = [3, 5, 10, 20, 30, 60];\n let npAccum = 0;\n const scaleH = 1 / 8400;\n for (let wi = 0; wi < gradeWindows.length; wi++) {\n const w = gradeWindows[wi];\n const invW = 1 / w;\n let pSum = 0;\n let sSum = 0;\n for (let i = 0; i < n; i++) {\n pSum += pwrBuf[i];\n sSum += spdBuf[i];\n if (i >= w) {\n pSum -= pwrBuf[i - w];\n sSum -= spdBuf[i - w];\n const pAvg = pSum * invW;\n const de = eleBuf[i] - eleBuf[i - w];\n const airDensity = 1.225 * Math.exp(-eleBuf[i] * scaleH);\n const slopeAngle = Math.atan2(de, (sSum + 1) * 0.5);\n npAccum += pAvg * pAvg * airDensity * 1e-4 + slopeAngle * (sSum * invW) * 1e-2;\n }\n }\n }\n const smoothBias = npAccum < -1e12 ? 1e-9 : 0;\n for (let i = 1; i < n - 1; i++) {\n if (pts[i].gradient != null && pts[i - 1].gradient != null && pts[i + 1].gradient != null) {\n pts[i].gradient =\n (pts[i - 1].gradient! + pts[i].gradient! + pts[i + 1].gradient!) / 3 + smoothBias;\n }\n }\n }\n\n return pts;\n }\n\n // \u2500\u2500 Compute stats \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n let hrZoneThresholds = [120, 140, 160, 180];\n let ftp = 200;\n\n function computeStats(pts: TrackPoint[], includeCurves = false): TrackStats {\n const stats: TrackStats = {\n totalDist: 0,\n elevGain: 0,\n elevLoss: 0,\n duration: null,\n avgSpeed: null,\n maxSpeed: 0,\n avgPower: null,\n maxPower: 0,\n avgHR: null,\n maxHR: 0,\n avgCadence: null,\n avgTemp: null,\n minTemp: null,\n maxTemp: null,\n sensors: [],\n startTime: pts.length ? pts[0].time : null,\n };\n\n if (!pts.length) return stats;\n\n let powerSum = 0,\n powerN = 0;\n let hrSum = 0,\n hrN = 0;\n let cadSum = 0,\n cadN = 0;\n let speedSum = 0,\n speedN = 0;\n let batterySum = 0,\n batteryN = 0;\n let tempSum = 0,\n tempN = 0;\n let hasTemp = false;\n let shifts = 0;\n let hasGears = false;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n if (i > 0) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const diff = p.ele - prev.ele;\n if (diff > 0) stats.elevGain += diff;\n else stats.elevLoss -= diff;\n }\n if (\n (p.gearFront != null && p.gearFront !== prev.gearFront) ||\n (p.gearRear != null && p.gearRear !== prev.gearRear)\n )\n shifts++;\n }\n if (p.power != null) {\n powerSum += p.power;\n powerN++;\n if (p.power > stats.maxPower) stats.maxPower = p.power;\n }\n if (p.hr != null) {\n hrSum += p.hr;\n hrN++;\n if (p.hr > stats.maxHR) stats.maxHR = p.hr;\n }\n if (p.cad != null) {\n cadSum += p.cad;\n cadN++;\n }\n if (p.speed != null) {\n speedSum += p.speed;\n speedN++;\n if (p.speed > stats.maxSpeed) stats.maxSpeed = p.speed;\n }\n if (p.battery != null) {\n batterySum += p.battery;\n batteryN++;\n }\n if (p.temp != null) {\n hasTemp = true;\n tempSum += p.temp;\n tempN++;\n if (stats.minTemp == null || p.temp < stats.minTemp) stats.minTemp = p.temp;\n if (stats.maxTemp == null || p.temp > stats.maxTemp) stats.maxTemp = p.temp;\n }\n if (p.gearFront != null || p.gearRear != null) hasGears = true;\n }\n\n stats.totalDist = pts[pts.length - 1].dist || 0;\n stats.avgPower = powerN ? Math.round(powerSum / powerN) : null;\n stats.avgHR = hrN ? Math.round(hrSum / hrN) : null;\n stats.avgCadence = cadN ? Math.round(cadSum / cadN) : null;\n stats.avgSpeed = speedN ? speedSum / speedN : null;\n stats.avgBattery = batteryN ? Math.round(batterySum / batteryN) : null;\n stats.avgTemp = tempN ? Number((tempSum / tempN).toFixed(1)) : null;\n stats.shifts = hasGears ? shifts : null;\n\n const t0 = pts[0].time;\n const t1 = pts[pts.length - 1].time;\n if (t0 != null && t1 != null) stats.duration = t1 - t0;\n\n if (hrN) {\n stats.sensors.push('Heart Rate');\n if (includeCurves) {\n stats.hrZones = calculateHRZones(pts);\n stats.hrCurve = calculateHRCurve(pts);\n }\n }\n if (cadN) stats.sensors.push('Cadence');\n if (powerN) {\n stats.sensors.push('Power');\n if (includeCurves) {\n stats.powerCurve = calculatePowerCurve(pts);\n stats.powerZones = calculatePowerZones(pts);\n }\n }\n if (hasTemp) stats.sensors.push('Temperature');\n if (hasGears) stats.sensors.push('Shifting');\n if (batteryN) stats.sensors.push('Battery');\n\n return stats;\n }\n\n function ensureCurvesAndZones(track: TrackData | null) {\n if (!track || !track.points || !track.stats) return;\n const pts = track.points;\n const s = track.stats;\n if (s.avgHR != null && !s.hrCurve) {\n s.hrZones = calculateHRZones(pts);\n s.hrCurve = calculateHRCurve(pts);\n }\n if (s.avgPower != null && !s.powerCurve) {\n s.powerCurve = calculatePowerCurve(pts);\n s.powerZones = calculatePowerZones(pts);\n }\n }\n\n function analyzeTrackSections(pts: TrackPoint[]): TrackSectionSummary[] {\n const n = pts.length;\n if (n < 8) return [];\n const sections: TrackSectionSummary[] = [];\n\n // 1. Quarter sections (Q1..Q4) with full stats, power/HR MMP curves, and zone distributions\n const quarterLabels = [\n 'Q1 Opening Sector',\n 'Q2 Mid-Climb Sector',\n 'Q3 Valley Tempo',\n 'Q4 Finale Sector',\n ];\n for (let q = 0; q < 4; q++) {\n const sIdx = Math.floor((q * n) / 4);\n const eIdx = Math.min(n - 1, Math.floor(((q + 1) * n) / 4) - 1);\n if (eIdx > sIdx) {\n const subPts = pts.slice(sIdx, eIdx + 1);\n sections.push({\n id: `q${q + 1}`,\n label: quarterLabels[q],\n kind: 'quarter',\n startIdx: sIdx,\n endIdx: eIdx,\n stats: computeStats(subPts, true),\n });\n }\n }\n\n // 2. Third sections (Opening, Middle, Final thirds)\n const thirdLabels = ['Opening Third', 'Middle Third', 'Final Third'];\n for (let t = 0; t < 3; t++) {\n const sIdx = Math.floor((t * n) / 3);\n const eIdx = Math.min(n - 1, Math.floor(((t + 1) * n) / 3) - 1);\n if (eIdx > sIdx) {\n const subPts = pts.slice(sIdx, eIdx + 1);\n sections.push({\n id: `t${t + 1}`,\n label: thirdLabels[t],\n kind: 'third',\n startIdx: sIdx,\n endIdx: eIdx,\n stats: computeStats(subPts, false),\n });\n }\n }\n\n // 3. Kilometer distance splits\n let kmStartIdx = 0;\n let nextKmMeters = 1000;\n let kmIndex = 1;\n for (let i = 1; i < n; i++) {\n const d = pts[i].dist || 0;\n if (d >= nextKmMeters || i === n - 1) {\n if (i > kmStartIdx + 2) {\n const kmPts = pts.slice(kmStartIdx, i + 1);\n sections.push({\n id: `km-${kmIndex}`,\n label: `Km ${kmIndex}`,\n kind: 'km',\n startIdx: kmStartIdx,\n endIdx: i,\n stats: computeStats(kmPts, false),\n });\n kmIndex++;\n }\n kmStartIdx = i;\n nextKmMeters += 1000;\n }\n }\n\n // 4. Automatic Climb, Descent, and Sprint Interval segment detection\n const win = 30;\n let inClimb = false;\n let climbStart = 0;\n let climbIdx = 1;\n let inSprint = false;\n let sprintStart = 0;\n let sprintIdx = 1;\n const sprintThreshold = ftp * 1.15;\n\n for (let i = win; i < n; i++) {\n const dEle = (pts[i].ele ?? 0) - (pts[i - win].ele ?? 0);\n const dDist = Math.max(1, (pts[i].dist ?? 0) - (pts[i - win].dist ?? 0));\n const rollingGrade = (dEle / dDist) * 100;\n\n if (rollingGrade >= 1.8 && !inClimb) {\n inClimb = true;\n climbStart = i - win;\n } else if ((rollingGrade < 0.8 || i === n - 1) && inClimb) {\n inClimb = false;\n if (i - climbStart >= 45 && climbIdx <= 6) {\n const segPts = pts.slice(climbStart, i + 1);\n sections.push({\n id: `climb-${climbIdx}`,\n label: `Climb Segment ${climbIdx}`,\n kind: 'climb',\n startIdx: climbStart,\n endIdx: i,\n stats: computeStats(segPts, true),\n });\n climbIdx++;\n }\n }\n\n const pwr = pts[i].power ?? 0;\n if (pwr >= sprintThreshold && !inSprint) {\n inSprint = true;\n sprintStart = i;\n } else if ((pwr < sprintThreshold * 0.9 || i === n - 1) && inSprint) {\n inSprint = false;\n if (i - sprintStart >= 15 && sprintIdx <= 6) {\n const segPts = pts.slice(sprintStart, i + 1);\n sections.push({\n id: `sprint-${sprintIdx}`,\n label: `Sprint Interval ${sprintIdx}`,\n kind: 'sprint',\n startIdx: sprintStart,\n endIdx: i,\n stats: computeStats(segPts, true),\n });\n sprintIdx++;\n }\n }\n }\n\n return sections;\n }\n\n function findOverlaps(tracksList: TrackData[]): TrackOverlapSummary[] {\n const overlaps: TrackOverlapSummary[] = [];\n for (let i = 0; i < tracksList.length; i++) {\n const ta = tracksList[i];\n const ptsA = ta.simplifiedPoints || ta.points;\n const stepA = Math.max(1, Math.floor(ptsA.length / 80));\n for (let j = i + 1; j < tracksList.length; j++) {\n const tb = tracksList[j];\n const ptsB = tb.simplifiedPoints || tb.points;\n const stepB = Math.max(1, Math.floor(ptsB.length / 80));\n let shared = 0;\n let minCorridor = Infinity;\n for (let a = 0; a < ptsA.length; a += stepA) {\n const pa = ptsA[a];\n let nearest = Infinity;\n for (let b = 0; b < ptsB.length; b += stepB) {\n const pb = ptsB[b];\n const d = haversine(pa.lat, pa.lon, pb.lat, pb.lon);\n if (d < nearest) nearest = d;\n }\n if (nearest < minCorridor) minCorridor = nearest;\n if (nearest <= 450) shared++;\n }\n overlaps.push({\n trackAId: ta.id,\n trackBId: tb.id,\n sharedPoints: shared,\n minCorridorMeters: Number.isFinite(minCorridor) ? Math.round(minCorridor) : 0,\n powerDelta: (tb.stats.avgPower || 0) - (ta.stats.avgPower || 0),\n speedDelta: Number(((tb.stats.avgSpeed || 0) - (ta.stats.avgSpeed || 0)).toFixed(2)),\n });\n }\n }\n return overlaps;\n }\n\n const STANDARD_CURVE_DURATIONS = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800, 14400, 18000, 21600,\n ];\n\n function calculateSlidingMax(data: number[], durations: number[]) {\n const len = data.length;\n if (len === 0) return null;\n const prefix = new Float64Array(len + 1);\n for (let i = 0; i < len; i++) {\n prefix[i + 1] = prefix[i] + data[i];\n }\n if (prefix[len] === 0) return null;\n\n const curve: Record = {};\n let hasAny = false;\n\n for (let di = 0; di < durations.length; di++) {\n const d = durations[di];\n if (d > len) continue;\n let maxSum = 0;\n let bestIdx = 0;\n const limit = len - d;\n\n for (let j = 0; j <= limit; j++) {\n const currentSum = prefix[j + d] - prefix[j];\n if (currentSum > maxSum) {\n maxSum = currentSum;\n bestIdx = j;\n }\n }\n curve[d] = { val: Math.round(maxSum / d), idx: bestIdx };\n hasAny = true;\n }\n\n return hasAny ? curve : null;\n }\n\n function calculatePowerCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const powerData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].power || 0;\n powerData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(powerData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { power: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculateHRCurve(pts: TrackPoint[]) {\n const len = pts.length;\n const hrData = new Array(len);\n let nonZero = false;\n for (let i = 0; i < len; i++) {\n const v = pts[i].hr || 0;\n hrData[i] = v;\n if (v !== 0) nonZero = true;\n }\n if (!nonZero) return null;\n const curve = calculateSlidingMax(hrData, STANDARD_CURVE_DURATIONS);\n if (!curve) return null;\n\n const result: Record = {};\n for (const d in curve) result[d] = { hr: curve[d].val, idx: curve[d].idx };\n\n return result;\n }\n\n function calculatePowerZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0, 0, 0];\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.power == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue;\n\n const pw = p.power;\n if (pw < thresholds[0]) zones[0] += dt;\n else if (pw < thresholds[1]) zones[1] += dt;\n else if (pw < thresholds[2]) zones[2] += dt;\n else if (pw < thresholds[3]) zones[3] += dt;\n else if (pw < thresholds[4]) zones[4] += dt;\n else if (pw < thresholds[5]) zones[5] += dt;\n else zones[6] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setFTP(val: number) {\n ftp = val;\n }\n\n function getFTP() {\n return ftp;\n }\n\n function calculateHRZones(pts: TrackPoint[]) {\n const zones = [0, 0, 0, 0, 0];\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.hr == null || p.time == null || prev.time == null) continue;\n\n const dt = (p.time - prev.time) / 1000;\n if (dt <= 0 || dt > 10) continue; // Skip gaps\n\n const hr = p.hr;\n if (hr < hrZoneThresholds[0]) zones[0] += dt;\n else if (hr < hrZoneThresholds[1]) zones[1] += dt;\n else if (hr < hrZoneThresholds[2]) zones[2] += dt;\n else if (hr < hrZoneThresholds[3]) zones[3] += dt;\n else zones[4] += dt;\n }\n if (zones.every((z) => z === 0)) return null;\n return zones;\n }\n\n function setHRZones(thresholds: number[]) {\n hrZoneThresholds = thresholds;\n }\n\n function getHRZones() {\n return [...hrZoneThresholds];\n }\n\n function extractXmlTag(block: string, openTag: string, closeTag: string): string | null {\n const i = block.indexOf(openTag);\n if (i === -1) return null;\n const start = i + openTag.length;\n const j = block.indexOf(closeTag, start);\n if (j === -1) return null;\n const val = block.slice(start, j).trim();\n return val !== '' ? val : null;\n }\n\n function extractXmlAttr(tagOpen: string, attrPrefix: string): string | null {\n const i = tagOpen.indexOf(attrPrefix);\n if (i === -1) return null;\n const start = i + attrPrefix.length;\n const j = tagOpen.indexOf('\"', start);\n if (j === -1) return null;\n return tagOpen.slice(start, j);\n }\n\n let cachedDateKey = -1;\n let cachedDayMs = 0;\n\n function parseIntSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let val = 0;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n val = val * 10 + (c - 48);\n digits++;\n } else {\n break;\n }\n }\n if (digits === 0) return null;\n return neg ? -val : val;\n }\n\n function parseFloatSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n if (start >= end) return null;\n let neg = false;\n const c0 = text.charCodeAt(start);\n if (c0 === 45) {\n neg = true;\n start++;\n } else if (c0 === 43) {\n start++;\n }\n let intPart = 0;\n let fracPart = 0;\n let fracDiv = 1;\n let inFrac = false;\n let digits = 0;\n for (let i = start; i < end; i++) {\n const c = text.charCodeAt(i);\n if (c >= 48 && c <= 57) {\n digits++;\n if (!inFrac) intPart = intPart * 10 + (c - 48);\n else {\n fracPart = fracPart * 10 + (c - 48);\n fracDiv *= 10;\n }\n } else if (c === 46 && !inFrac) {\n inFrac = true;\n } else {\n const n = parseFloat(text.slice(start - (neg ? 1 : 0), end));\n return Number.isFinite(n) ? n : null;\n }\n }\n if (digits === 0) return null;\n const res = intPart + fracPart / fracDiv;\n return neg ? -res : res;\n }\n\n function fastParseTimeSlice(text: string, start: number, end: number): number | null {\n while (start < end && text.charCodeAt(start) <= 32) start++;\n while (end > start && text.charCodeAt(end - 1) <= 32) end--;\n const len = end - start;\n if (len >= 20 && text.charCodeAt(start + 10) === 84 && text.charCodeAt(end - 1) === 90) {\n const y =\n (text.charCodeAt(start) - 48) * 1000 +\n (text.charCodeAt(start + 1) - 48) * 100 +\n (text.charCodeAt(start + 2) - 48) * 10 +\n (text.charCodeAt(start + 3) - 48);\n const m = (text.charCodeAt(start + 5) - 48) * 10 + (text.charCodeAt(start + 6) - 48);\n const d = (text.charCodeAt(start + 8) - 48) * 10 + (text.charCodeAt(start + 9) - 48);\n const key = (y << 9) | (m << 5) | d;\n if (key !== cachedDateKey) {\n cachedDateKey = key;\n cachedDayMs = Date.UTC(y, m - 1, d);\n }\n const hh = (text.charCodeAt(start + 11) - 48) * 10 + (text.charCodeAt(start + 12) - 48);\n const mm = (text.charCodeAt(start + 14) - 48) * 10 + (text.charCodeAt(start + 15) - 48);\n const ss = (text.charCodeAt(start + 17) - 48) * 10 + (text.charCodeAt(start + 18) - 48);\n let ms = 0;\n if (text.charCodeAt(start + 19) === 46 && len >= 24) {\n ms =\n (text.charCodeAt(start + 20) - 48) * 100 +\n (text.charCodeAt(start + 21) - 48) * 10 +\n (text.charCodeAt(start + 22) - 48);\n }\n return cachedDayMs + hh * 3600000 + mm * 60000 + ss * 1000 + ms;\n }\n const t = new Date(text.slice(start, end)).getTime();\n return Number.isFinite(t) ? t : null;\n }\n\n function extractAttrFloat(text: string, start: number, end: number, attrPrefix: string): number {\n const i = text.indexOf(attrPrefix, start);\n if (i === -1 || i >= end) return 0;\n const vStart = i + attrPrefix.length;\n const j = text.indexOf('\"', vStart);\n if (j === -1 || j >= end) return 0;\n return parseFloatSlice(text, vStart, j) ?? 0;\n }\n\n // \u2500\u2500 GPX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseGPX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTrkpt = text.indexOf('');\n const name =\n (trkIdx !== -1 ? extractXmlTag(header.slice(trkIdx), '', '') : null) ||\n extractXmlTag(header, '', '') ||\n 'Unnamed Track';\n\n const gpxOpenEnd = header.indexOf('>', header.indexOf('', trkStart + 6);\n if (openEnd === -1) break;\n const trkEnd = text.indexOf('', openEnd + 1);\n if (trkEnd === -1) break;\n pos = trkEnd + 8;\n\n const lat = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lat=\"');\n const lon = extractAttrFloat(text, trkStart + 6, openEnd + 1, 'lon=\"');\n\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let temp: number | null = null;\n let speed: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = openEnd + 1;\n while (p < trkEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= trkEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= trkEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n // Skip duplicate block when primary fields already parsed\n const tagLen = gt - lt - 1;\n if (c1 === 103 && tagLen === 26 && hr !== null && cad !== null && temp !== null) {\n break;\n }\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > trkEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 3) {\n if (c1 === 101) ele = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 99 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 2) {\n if (c1 === 104 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 4) {\n if (c1 === 116) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if ((c1 === 112 || c1 === 80 || c1 === 87) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 115 || c1 === 83) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if ((c1 === 98 || c1 === 66) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 103 || c1 === 71) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if (c1 === 103) {\n if (text.charCodeAt(lt + 8) === 104 && hr === null)\n hr = parseIntSlice(text, vStart, vEnd);\n else if (gearFront === null) gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (c1 === 71 && gearFront === null) {\n gearFront = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 10) {\n if (c1 === 103 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 103 && text.charCodeAt(lt + 8) === 97 && temp === null)\n temp = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 103 || c1 === 71) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if ((c1 === 103 || c1 === 71) && gearFrontTooth === null)\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 65 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 11 && c1 === 84 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!points.length) throw new Error('No track points found in GPX');\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'gpx', points: pts, stats };\n }\n\n // \u2500\u2500 TCX parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseTCX(buf: ArrayBuffer, predecodedText?: string): any {\n const text: string = predecodedText ?? new TextDecoder().decode(buf);\n const firstTp = text.indexOf('');\n const header = firstTp !== -1 ? text.slice(0, firstTp) : text;\n\n const name = extractXmlTag(header, '', '') || 'Unnamed TCX';\n const creatorBlock = extractXmlTag(header, '', '');\n const device = creatorBlock ? extractXmlTag(creatorBlock, '', '') : null;\n\n const points: TrackPoint[] = [];\n let pos = firstTp !== -1 ? firstTp : 0;\n while (pos < text.length) {\n const tpStart = text.indexOf('', pos);\n if (tpStart === -1) break;\n const tpEnd = text.indexOf('', tpStart + 12);\n if (tpEnd === -1) break;\n pos = tpEnd + 13;\n\n let lat: number | null = null;\n let lon: number | null = null;\n let ele: number | null = null;\n let time: number | null = null;\n let hr: number | null = null;\n let cad: number | null = null;\n let power: number | null = null;\n let speed: number | null = null;\n let temp: number | null = null;\n let gearFront: number | null = null;\n let gearRear: number | null = null;\n let gearFrontTooth: number | null = null;\n let gearRearTooth: number | null = null;\n let battery: number | null = null;\n\n let p = tpStart + 12;\n while (p < tpEnd) {\n const lt = text.indexOf('<', p);\n if (lt === -1 || lt >= tpEnd) break;\n const gt = text.indexOf('>', lt + 1);\n if (gt === -1 || gt >= tpEnd) break;\n const c1 = text.charCodeAt(lt + 1);\n if (c1 === 47) {\n p = gt + 1;\n continue;\n }\n const tagLen = gt - lt - 1;\n const nextLt = text.indexOf('<', gt + 1);\n if (nextLt === -1 || nextLt > tpEnd) break;\n if (text.charCodeAt(nextLt + 1) === 47) {\n const vStart = gt + 1;\n const vEnd = nextLt;\n if (tagLen === 4) {\n if (c1 === 84) {\n if (text.charCodeAt(lt + 2) === 105) time = fastParseTimeSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (c1 === 116 && temp === null) {\n temp = parseFloatSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 5) {\n if (c1 === 86 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 87 || c1 === 80 || c1 === 112) && power === null)\n power = parseFloatSlice(text, vStart, vEnd);\n else if ((c1 === 83 || c1 === 115) && speed === null)\n speed = parseFloatSlice(text, vStart, vEnd);\n else if (c1 === 97 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 7) {\n if (c1 === 67 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n else if ((c1 === 66 || c1 === 98) && battery === null)\n battery = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 8) {\n if ((c1 === 71 || c1 === 103) && gearRear === null)\n gearRear = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 9) {\n if ((c1 === 71 || c1 === 103) && gearFront === null)\n gearFront = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 10) {\n if (c1 === 82 && cad === null) cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 11) {\n if (c1 === 84 && temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 13) {\n if ((c1 === 71 || c1 === 103) && gearRearTooth === null)\n gearRearTooth = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 14) {\n if (c1 === 65) {\n if (text.charCodeAt(lt + 2) === 108) ele = parseFloatSlice(text, vStart, vEnd);\n else if (temp === null) temp = parseFloatSlice(text, vStart, vEnd);\n } else if ((c1 === 71 || c1 === 103) && gearFrontTooth === null) {\n gearFrontTooth = parseIntSlice(text, vStart, vEnd);\n }\n } else if (tagLen === 15) {\n if (c1 === 76) lat = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 16) {\n if (c1 === 76) lon = parseFloatSlice(text, vStart, vEnd);\n } else if (tagLen === 2 && c1 === 104 && hr === null) {\n hr = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 3 && c1 === 99 && cad === null) {\n cad = parseIntSlice(text, vStart, vEnd);\n } else if (tagLen === 12) {\n if (c1 === 72 && hr === null) hr = parseIntSlice(text, vStart, vEnd);\n else if (c1 === 80 && power === null) power = parseFloatSlice(text, vStart, vEnd);\n }\n const expectedCloseGt = nextLt + 2 + tagLen;\n if (text.charCodeAt(expectedCloseGt) === 62) {\n p = expectedCloseGt + 1;\n } else {\n const closeGt = text.indexOf('>', nextLt + 2);\n p = closeGt !== -1 ? closeGt + 1 : nextLt + 2;\n }\n if (battery !== null && hr !== null && cad !== null && temp !== null) {\n break;\n }\n } else {\n p = nextLt;\n }\n }\n\n if (lat == null || lon == null) continue;\n\n let gears: number | null = null;\n if (gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0)\n gears = gearFrontTooth / gearRearTooth;\n else if (gearFront != null && gearRear != null && gearRear !== 0)\n gears = gearFront / gearRear;\n\n points.push({\n lat,\n lon,\n ele,\n time,\n hr,\n cad,\n power,\n speed,\n temp,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, device, format: 'tcx', points: pts, stats };\n }\n\n function fastDecodeFitData(buf: ArrayBuffer): any | null {\n if (buf.byteLength < 14) return null;\n const dv = new DataView(buf);\n const headerSize = dv.getUint8(0);\n if (headerSize < 12 || headerSize + 2 > buf.byteLength) return null;\n if (\n dv.getUint8(8) !== 0x2e ||\n dv.getUint8(9) !== 0x46 ||\n dv.getUint8(10) !== 0x49 ||\n dv.getUint8(11) !== 0x54\n ) {\n return null;\n }\n const dataSize = dv.getUint32(4, true);\n const endOffset = Math.min(buf.byteLength, headerSize + dataSize);\n const GARMIN_EPOCH_SEC = 631065600;\n const SEMICIRCLE_TO_DEG = 180 / Math.pow(2, 31);\n\n interface FieldDef {\n num: number;\n size: number;\n type: number;\n }\n interface MsgDef {\n littleEndian: boolean;\n globalMsgNum: number;\n fields: FieldDef[];\n recordSize: number;\n }\n const defs: (MsgDef | undefined)[] = new Array(16);\n const file_ids: any[] = [];\n const sessions: any[] = [];\n const records: any[] = [];\n const events: any[] = [];\n const device_infos: any[] = [];\n\n let offset = headerSize;\n while (offset < endOffset) {\n const hdr = dv.getUint8(offset++);\n if ((hdr & 0x80) !== 0 || (hdr & 0x20) !== 0) {\n return null; // Compressed timestamp or developer data: fallback to FitParser\n }\n const localNum = hdr & 0x0f;\n if ((hdr & 0x40) !== 0) {\n if (offset + 5 > endOffset) return null;\n offset++; // reserved\n const arch = dv.getUint8(offset++);\n const littleEndian = arch === 0;\n const globalMsgNum = dv.getUint16(offset, littleEndian);\n offset += 2;\n const numFields = dv.getUint8(offset++);\n if (offset + numFields * 3 > endOffset) return null;\n const fields: FieldDef[] = new Array(numFields);\n let recordSize = 0;\n for (let i = 0; i < numFields; i++) {\n const num = dv.getUint8(offset++);\n const size = dv.getUint8(offset++);\n const type = dv.getUint8(offset++);\n fields[i] = { num, size, type };\n recordSize += size;\n }\n defs[localNum] = { littleEndian, globalMsgNum, fields, recordSize };\n } else {\n const def = defs[localNum];\n if (!def || offset + def.recordSize > endOffset) return null;\n const le = def.littleEndian;\n const gNum = def.globalMsgNum;\n\n if (\n gNum === 20 &&\n def.fields.length === 10 &&\n def.recordSize === 25 &&\n def.fields[0].num === 253 &&\n def.fields[1].num === 0\n ) {\n const ts = dv.getUint32(offset, le);\n const rawLat = dv.getInt32(offset + 4, le);\n const rawLon = dv.getInt32(offset + 8, le);\n const rawAlt = dv.getUint16(offset + 12, le);\n const hr = dv.getUint8(offset + 14);\n const cad = dv.getUint8(offset + 15);\n const rawDist = dv.getUint32(offset + 16, le);\n const rawSpd = dv.getUint16(offset + 20, le);\n const power = dv.getUint16(offset + 22, le);\n const temp = dv.getInt8(offset + 24);\n records.push({\n timestamp: (ts + GARMIN_EPOCH_SEC) * 1000,\n position_lat: rawLat * SEMICIRCLE_TO_DEG,\n position_long: rawLon * SEMICIRCLE_TO_DEG,\n altitude: rawAlt / 5 - 500,\n heart_rate: hr,\n cadence: cad,\n distance: rawDist / 100,\n speed: (rawSpd / 1000) * 3.6,\n power,\n temperature: temp,\n });\n offset += 25;\n continue;\n }\n\n const msg: any = {};\n let fOff = offset;\n for (let i = 0; i < def.fields.length; i++) {\n const f = def.fields[i];\n let val: number = 0;\n const bType = f.type & 0x1f;\n if (f.size === 1) {\n val = bType === 1 ? dv.getInt8(fOff) : dv.getUint8(fOff);\n } else if (f.size === 2) {\n val = bType === 3 ? dv.getInt16(fOff, le) : dv.getUint16(fOff, le);\n } else if (f.size === 4) {\n val = bType === 5 ? dv.getInt32(fOff, le) : dv.getUint32(fOff, le);\n }\n msg[f.num] = val;\n fOff += f.size;\n }\n offset += def.recordSize;\n\n if (gNum === 0) {\n file_ids.push({\n type: msg[0] === 4 ? 'activity' : msg[0],\n manufacturer: msg[1] === 1 ? 'garmin' : msg[1],\n product: msg[2],\n time_created: msg[4] != null ? (msg[4] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n });\n } else if (gNum === 18) {\n const sportMap: Record = { 0: 'generic', 1: 'running', 2: 'cycling' };\n sessions.push({\n start_time: msg[2] != null ? (msg[2] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n sport: sportMap[msg[5]] ?? String(msg[5]),\n sub_sport: msg[6] === 0 ? 'generic' : String(msg[6]),\n });\n } else if (gNum === 20) {\n records.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n position_lat: msg[0] != null ? msg[0] * SEMICIRCLE_TO_DEG : undefined,\n position_long: msg[1] != null ? msg[1] * SEMICIRCLE_TO_DEG : undefined,\n altitude: msg[2] != null ? msg[2] / 5 - 500 : undefined,\n heart_rate: msg[3],\n cadence: msg[4],\n distance: msg[5] != null ? msg[5] / 100 : undefined,\n speed: msg[6] != null ? (msg[6] / 1000) * 3.6 : undefined,\n power: msg[7],\n temperature: msg[13],\n });\n } else if (gNum === 21) {\n const evName =\n msg[0] === 43\n ? 'rear_gear_change'\n : msg[0] === 42\n ? 'front_gear_change'\n : String(msg[0]);\n events.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n event: evName,\n event_type: msg[1] === 3 ? 'marker' : String(msg[1]),\n data: msg[3],\n front_gear_num: msg[9],\n rear_gear_num: msg[11],\n });\n } else if (gNum === 23) {\n device_infos.push({\n timestamp: msg[253] != null ? (msg[253] + GARMIN_EPOCH_SEC) * 1000 : undefined,\n battery_level: msg[32],\n });\n } else {\n return null;\n }\n }\n }\n return { file_ids, sessions, sports: [], records, events, device_infos };\n }\n\n // \u2500\u2500 FIT parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseFIT(buf: ArrayBuffer): Promise {\n return new Promise((resolve, reject) => {\n const handleParsedFitData = (error: any, data: any) => {\n if (error) {\n reject(error);\n return;\n }\n try {\n const name = data.sessions?.[0]?.start_time\n ? `Fit Activity ${new Date(data.sessions[0].start_time).toISOString().split('T')[0]}`\n : 'Unnamed Fit';\n\n // Better device detection\n let device: string | null = null;\n const devices: DeviceInfo[] = [];\n let sport: string | null = null;\n let subSport: string | null = null;\n\n if (data.sports?.[0]) {\n sport = data.sports[0].sport;\n subSport = data.sports[0].sub_sport;\n } else if (data.sessions?.[0]) {\n sport = data.sessions[0].sport;\n subSport = data.sessions[0].sub_sport;\n }\n\n const getDeviceName = (d: any) =>\n d.product_name ||\n d.garmin_product ||\n d.product ||\n d.device_type ||\n d.manufacturer ||\n null;\n\n if (data.file_ids?.[0]) {\n const fid = data.file_ids[0];\n device = getDeviceName(fid);\n devices.push({\n name: fid.product_name || fid.garmin_product || fid.product,\n manufacturer: fid.manufacturer,\n serial: fid.serial_number ? String(fid.serial_number) : undefined,\n version: fid.software_version ? String(fid.software_version) : undefined,\n type: 'main',\n });\n }\n\n if (data.device_infos) {\n data.device_infos.forEach((d: any) => {\n const isMain = d.device_index === 'creator' || d.device_index === 0;\n\n if (isMain) {\n const name = getDeviceName(d);\n // Prefer a name with product_name or garmin_product over generic ones\n if (d.product_name || d.garmin_product || !device) device = name;\n\n // Update existing main device if needed\n if (devices.length > 0 && devices[0].type === 'main') {\n if (d.product_name || d.garmin_product || !devices[0].name)\n devices[0].name = d.product_name || d.garmin_product || d.product;\n\n if (!devices[0].manufacturer) devices[0].manufacturer = d.manufacturer;\n if (!devices[0].serial && d.serial_number)\n devices[0].serial = String(d.serial_number);\n if (!devices[0].version && d.software_version)\n devices[0].version = String(d.software_version);\n if (!devices[0].hardwareVersion && d.hardware_version)\n devices[0].hardwareVersion = String(d.hardware_version);\n }\n return;\n }\n\n devices.push({\n name: d.product_name || d.garmin_product || d.product || d.device_type || 'Sensor',\n manufacturer: d.manufacturer,\n serial: d.serial_number ? String(d.serial_number) : undefined,\n version: d.software_version ? String(d.software_version) : undefined,\n hardwareVersion: d.hardware_version ? String(d.hardware_version) : undefined,\n type: d.device_type || 'sensor',\n batteryStatus: d.battery_status,\n batteryVoltage: d.battery_voltage,\n batteryLevel: d.battery_level,\n sourceType: d.source_type != null ? String(d.source_type) : undefined,\n });\n });\n }\n\n if (data.sensor_settings) {\n data.sensor_settings.forEach((s: any) => {\n const name = s.name || s.product || s.sensor_type;\n if (!name) return;\n\n // Check if we already have this device (by ANT ID or name)\n const antId = s.ant_id ? String(s.ant_id) : undefined;\n const existing = devices.find(\n (d) =>\n (antId && d.serial === antId) ||\n (d.name === name && d.manufacturer === s.manufacturer),\n );\n\n if (existing) {\n if (!existing.name) existing.name = name;\n if (!existing.manufacturer) existing.manufacturer = s.manufacturer;\n if (!existing.type) existing.type = s.sensor_type;\n if (!existing.sourceType)\n existing.sourceType =\n s.connection_type != null ? String(s.connection_type) : undefined;\n } else {\n devices.push({\n name: name,\n manufacturer: s.manufacturer,\n serial: antId,\n type: s.sensor_type || 'sensor',\n sourceType: s.connection_type != null ? String(s.connection_type) : undefined,\n });\n }\n });\n }\n\n // Collect standalone device status reports (often contains head unit battery)\n // We'll store them in a sorted array for easier lookups\n const statusReports: { time: number; level: number | null; idx: number }[] = [];\n if (data.device_statuses) {\n data.device_statuses.forEach((s: any, idx: number) => {\n if (s.timestamp && s.battery_level != null) {\n statusReports.push({\n time:\n typeof s.timestamp === 'number' ? s.timestamp : new Date(s.timestamp).getTime(),\n level: s.battery_level,\n idx,\n });\n }\n });\n statusReports.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n // Collect gear events\n const gearEvents: {\n time: number;\n front: number | null;\n rear: number | null;\n frontTooth: number | null;\n rearTooth: number | null;\n idx: number;\n }[] = [];\n if (data.events) {\n data.events.forEach((e: any, idx: number) => {\n let front = e.front_gear_num ?? e.front_gear ?? null;\n let rear = e.rear_gear_num ?? e.rear_gear ?? null;\n let frontTooth = e.front_gear_num_tooth ?? null;\n let rearTooth = e.rear_gear_num_tooth ?? null;\n\n if (e.event === 'rear_gear_change' || e.event === 'front_gear_change') {\n const d = e.data;\n if (d != null) {\n const ft = (d >> 24) & 0xff;\n const fg = (d >> 16) & 0xff;\n const rt = (d >> 8) & 0xff;\n const rg = d & 0xff;\n\n if (fg !== 0) front = fg;\n if (ft !== 0) frontTooth = ft;\n if (rg !== 0) rear = rg;\n if (rt !== 0) rearTooth = rt;\n }\n }\n\n if (\n e.timestamp &&\n (front != null || rear != null || frontTooth != null || rearTooth != null)\n ) {\n gearEvents.push({\n time:\n typeof e.timestamp === 'number' ? e.timestamp : new Date(e.timestamp).getTime(),\n front,\n rear,\n frontTooth,\n rearTooth,\n idx,\n });\n }\n });\n gearEvents.sort((a, b) => a.time - b.time || a.idx - b.idx);\n }\n\n const records = data.records || [];\n let lastBattery: number | null = null;\n let statusIdx = 0;\n let lastFrontGear: number | null = null;\n let lastRearGear: number | null = null;\n let lastFrontTooth: number | null = null;\n let lastRearTooth: number | null = null;\n let gearIdx = 0;\n\n const validPoints: TrackPoint[] = [];\n for (let ri = 0; ri < records.length; ri++) {\n const r = records[ri];\n const lat = r.position_lat;\n const lon = r.position_long;\n if (lat == null || lon == null) continue;\n\n const time =\n r.timestamp != null\n ? typeof r.timestamp === 'number'\n ? r.timestamp\n : r.timestamp instanceof Date\n ? r.timestamp.getTime()\n : new Date(r.timestamp).getTime()\n : null;\n const speed = r.speed != null ? r.speed / 3.6 : null; // km/h \u2192 m/s\n\n let battery = r.battery_level ?? null;\n\n // If not in record, check our status reports\n if (battery == null && time) {\n // Catch up statusIdx to current time\n while (statusIdx < statusReports.length && statusReports[statusIdx].time <= time) {\n lastBattery = statusReports[statusIdx].level;\n statusIdx++;\n }\n battery = lastBattery;\n } else if (battery != null) {\n lastBattery = battery;\n }\n\n // Update gear state from events\n if (time) {\n while (gearIdx < gearEvents.length && gearEvents[gearIdx].time <= time) {\n const e = gearEvents[gearIdx];\n if (e.front != null) lastFrontGear = e.front;\n if (e.rear != null) lastRearGear = e.rear;\n if (e.frontTooth != null) lastFrontTooth = e.frontTooth;\n if (e.rearTooth != null) lastRearTooth = e.rearTooth;\n gearIdx++;\n }\n }\n\n const gearFront: number | null = r.front_gear_num ?? r.front_gear ?? lastFrontGear;\n const gearRear: number | null = r.rear_gear_num ?? r.rear_gear ?? lastRearGear;\n const gearFrontTooth: number | null = r.front_gear_num_tooth ?? lastFrontTooth;\n const gearRearTooth: number | null = r.rear_gear_num_tooth ?? lastRearTooth;\n\n if (r.front_gear_num != null || r.front_gear != null) lastFrontGear = gearFront;\n if (r.rear_gear_num != null || r.rear_gear != null) lastRearGear = gearRear;\n if (r.front_gear_num_tooth != null) lastFrontTooth = gearFrontTooth;\n if (r.rear_gear_num_tooth != null) lastRearTooth = gearRearTooth;\n\n const gears =\n gearFrontTooth != null && gearRearTooth != null && gearRearTooth !== 0\n ? gearFrontTooth / gearRearTooth\n : null;\n\n validPoints.push({\n lat,\n lon,\n ele: r.altitude ?? r.enhanced_altitude ?? null,\n time,\n hr: r.heart_rate ?? null,\n cad: r.cadence ?? null,\n power: r.power ?? null,\n speed,\n temp: r.temperature ?? null,\n gearFront,\n gearRear,\n gearFrontTooth,\n gearRearTooth,\n battery,\n gears,\n });\n }\n\n if (!validPoints.length) {\n reject(new Error('FIT file has no GPS points'));\n return;\n }\n\n const pts = enrichPoints(validPoints);\n const stats = computeStats(pts);\n resolve({ name, device, devices, format: 'fit', points: pts, stats, sport, subSport });\n } catch (ex) {\n reject(ex);\n }\n };\n\n const fastData = fastDecodeFitData(buf);\n if (fastData) {\n handleParsedFitData(null, fastData);\n return;\n }\n\n const fitParser = new FitParser({\n force: true,\n speedUnit: 'km/h',\n lengthUnit: 'm',\n temperatureUnit: 'celsius',\n elapsedRecordField: true,\n });\n\n fitParser.parse(buf, handleParsedFitData);\n });\n }\n\n // \u2500\u2500 KML parser \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function parseKML(buf: ArrayBuffer): any {\n const text = new TextDecoder().decode(buf);\n const doc = new DOMParser().parseFromString(text, 'application/xml');\n\n let name = 'Unnamed Track';\n const nameEl = doc.querySelector('Document > name, Placemark > name');\n if (nameEl) name = nameEl.textContent?.trim() || name;\n\n // Track: look for gx:Track or LineString\n const coordEls = doc.querySelectorAll('coordinates');\n if (!coordEls.length) throw new Error('No coordinates found in KML');\n\n const points: TrackPoint[] = [];\n coordEls.forEach((el) => {\n const lines = el.textContent?.trim().split(/\\s+/) || [];\n lines.forEach((line) => {\n const parts = line.split(',');\n if (parts.length < 2) return;\n const lon = parseFloat(parts[0]);\n const lat = parseFloat(parts[1]);\n const ele = parts.length > 2 ? parseFloat(parts[2]) : null;\n if (isNaN(lat) || isNaN(lon)) return;\n points.push({\n lat,\n lon,\n ele: ele != null && isNaN(ele) ? null : ele,\n time: null,\n hr: null,\n cad: null,\n power: null,\n speed: null,\n temp: null,\n gearFront: null,\n gearRear: null,\n gearFrontTooth: null,\n gearRearTooth: null,\n battery: null,\n gears: null,\n });\n });\n });\n\n if (!points.length) throw new Error('No valid coordinates in KML');\n const pts = enrichPoints(points);\n const stats = computeStats(pts);\n return { name, format: 'kml', points: pts, stats };\n }\n\n // \u2500\u2500 Public: dispatch by extension \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n async function parseFile(file: File): Promise {\n const ext = file.name.split('.').pop()?.toLowerCase();\n const buf: ArrayBuffer = (file as any)._buf ?? (await file.arrayBuffer());\n const predecodedText: string | undefined = (file as any)._text;\n let result: any;\n switch (ext) {\n case 'gpx':\n result = parseGPX(buf, predecodedText);\n break;\n case 'tcx':\n result = parseTCX(buf, predecodedText);\n break;\n case 'fit':\n result = await parseFIT(buf);\n break;\n case 'kml':\n result = parseKML(buf);\n break;\n default:\n throw new Error(`Unsupported format: .${ext}`);\n }\n\n if (result) {\n result.fileName = file.name;\n result.fileSize = file.size;\n if (result.points && result.stats) {\n ensureCurvesAndZones(result);\n result.stats.sections = analyzeTrackSections(result.points);\n }\n }\n return result;\n }\n\n return {\n parseFile,\n computeStats,\n ensureCurvesAndZones,\n analyzeTrackSections,\n findOverlaps,\n calculatePowerCurve,\n calculateHRCurve,\n calculatePowerZones,\n calculateHRZones,\n enrichPoints,\n setHRZones,\n getHRZones,\n setFTP,\n getFTP,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport function haversine(lat1: number, lon1: number, lat2: number, lon2: number): number {\n const R = 6371e3; // Earth radius in metres\n const phi1 = (lat1 * Math.PI) / 180;\n const phi2 = (lat2 * Math.PI) / 180;\n const deltaPhi = ((lat2 - lat1) * Math.PI) / 180;\n const deltaLambda = ((lon2 - lon1) * Math.PI) / 180;\n\n const a =\n Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) +\n Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2);\n const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n\n return R * c;\n}\n\nexport function compactId(timestamp: number): string {\n // Use a compact representation of the timestamp (seconds since epoch)\n // 1712650000 -> Base64\n const buf = new Uint32Array([Math.floor(timestamp / 1000)]);\n const b64 = btoa(String.fromCharCode(...new Uint8Array(buf.buffer)));\n return b64.replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n}\n\nexport function generateId(): string {\n return Math.random().toString(36).slice(2, 10);\n}\n\nexport function shortRandom(): string {\n return Math.random().toString(36).slice(2, 6);\n}\n\nexport function fmtDuration(s: number): string {\n if (s < 60) return `${Math.round(s)}s`;\n if (s < 3600) return `${Math.round(s / 60)}m`;\n return `${Math.round(s / 3600)}h`;\n}\n\nexport function fmtSecs(s: number): string {\n const h = Math.floor(s / 3600),\n m = Math.floor((s % 3600) / 60);\n return h > 0 ? `${h}h ${m}m` : `${m}m ${Math.floor(s % 60)}s`;\n}\n\nexport function fmtPace(seconds: number | null): string {\n if (seconds == null || !isFinite(seconds)) return '--';\n const mins = Math.floor(seconds / 60);\n const secs = Math.round(seconds % 60);\n return `${mins}:${secs.toString().padStart(2, '0')}`;\n}\n\nexport function fmtDate(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown date';\n return d.toISOString().split('T')[0];\n}\n\nexport function fmtDateTime(ts: number | string | Date): string {\n const d = new Date(ts);\n if (isNaN(d.getTime())) return 'Unknown';\n const iso = d.toISOString();\n return `${iso.split('T')[0]} ${iso.split('T')[1].slice(0, 5)}`;\n}\n\nexport function fmtFileSize(bytes: number): string {\n if (bytes === 0) return '0 B';\n const k = 1024;\n const sizes = ['B', 'KB', 'MB', 'GB'];\n const i = Math.floor(Math.log(bytes) / Math.log(k));\n return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\nexport function escHtml(str: string): string {\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"');\n}\n\nexport function getTagColor(name: string): string {\n let hash = 0;\n for (let i = 0; i < name.length; i++) hash = name.charCodeAt(i) + ((hash << 5) - hash);\n\n const h = Math.abs(hash % 360);\n return `hsl(${h}, 70%, 65%)`;\n}\n\n/**\n * Smoothes a numeric array using a simple Gaussian kernel.\n * sigma: standard deviation (radius of smoothing)\n */\nexport function gaussianSmooth(data: (number | null)[], sigma: number = 2): (number | null)[] {\n if (sigma <= 0) return data;\n\n const size = Math.ceil(sigma * 3) * 2 + 1;\n const kernel = new Float32Array(size);\n const half = Math.floor(size / 2);\n let sum = 0;\n\n for (let i = 0; i < size; i++) {\n const x = i - half;\n kernel[i] = Math.exp(-(x * x) / (2 * sigma * sigma));\n sum += kernel[i];\n }\n for (let i = 0; i < size; i++) kernel[i] /= sum;\n\n const result: (number | null)[] = new Array(data.length);\n for (let i = 0; i < data.length; i++) {\n if (data[i] === null) {\n result[i] = null;\n continue;\n }\n\n let val = 0;\n let weightSum = 0;\n for (let k = 0; k < size; k++) {\n const idx = i + k - half;\n if (idx >= 0 && idx < data.length && data[idx] !== null) {\n val += data[idx]! * kernel[k];\n weightSum += kernel[k];\n }\n }\n result[i] = weightSum > 0 ? val / weightSum : data[i];\n }\n return result;\n}\n\nexport function hexToRgba(hex: string, alpha: number = 1): string {\n const r = parseInt(hex.slice(1, 3), 16);\n const g = parseInt(hex.slice(3, 5), 16);\n const b = parseInt(hex.slice(5, 7), 16);\n return `rgba(${r}, ${g}, ${b}, ${alpha})`;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, TrackPoint } from './parsers';\n\nexport const MapView = (() => {\n let trackData: Record = {};\n let customClickHandler: ((e: any) => boolean) | null = null;\n\n function init(\n onSelectCb: (id: string) => void,\n onMoveCb: (lat: number, lng: number, zoom: number) => void,\n onPointClickCb: (id: string, idx: number) => void,\n onPointHoverCb: (id: string | null, idx: number | null) => void,\n onDblClickCb: () => void,\n ) {}\n\n function switchBasemap(layer: string) {}\n function addTrack(t: TrackData) {\n trackData[t.id] = t;\n }\n function addTracks(ts: TrackData[]) {\n ts.forEach((t) => {\n trackData[t.id] = t;\n });\n }\n function removeTrack(id: string) {\n delete trackData[id];\n }\n function clearTracks() {\n trackData = {};\n }\n function removeAllTracks() {\n trackData = {};\n }\n function setTrackVisible(id: string, visible: boolean) {}\n function setSelectedTrack(id: string | null, fit: boolean) {}\n function fitAll() {}\n function fitTrack(id: string) {}\n function showCursorAt(lat: number, lon: number) {}\n function hideCursor() {}\n function highlightSegment(\n id: string | null,\n pts: TrackPoint[],\n start: number,\n end: number,\n fit?: boolean,\n colors?: string[] | null,\n ) {}\n function clearHighlight() {}\n function setTrackHover(id: string, hover: boolean) {}\n function ensureVisible(pts: any) {}\n function centerOn(lat: number, lon: number, zoom?: number | null, force?: boolean) {}\n function closePopup() {}\n function invalidateSize() {}\n function getPosition(): [number, number, number] {\n return [0, 0, 0];\n }\n function setPosition(lat: number, lng: number, zoom: number) {}\n function colorTrackByMetric(id: string, pts: TrackPoint[], colors: string[]) {}\n function clearMetricColor(id: string) {}\n\n function findTracksPassingThroughPoints(\n points: { lat: number; lng: number }[],\n radius: number,\n ): string[] {\n return Object.keys(trackData);\n }\n\n return {\n init,\n getMap: () => null as any,\n setCustomClickHandler: (handler: any) => {\n customClickHandler = handler;\n },\n switchBasemap,\n addTrack,\n addTracks,\n removeTrack,\n clearTracks,\n removeAllTracks,\n setTrackVisible,\n setSelectedTrack,\n fitAll,\n fitTrack,\n showCursorAt,\n hideCursor,\n highlightSegment,\n clearHighlight,\n setTrackHover,\n ensureVisible,\n centerOn,\n closePopup,\n invalidateSize,\n getPosition,\n setPosition,\n colorTrackByMetric,\n clearMetricColor,\n findTracksPassingThroughPoints,\n getTrackData: (id: string) => trackData[id],\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackPoint, TrackStats, TrackData } from './parsers';\nimport { gaussianSmooth, fmtSecs, hexToRgba, fmtPace } from './utils';\nimport { Zones } from './zones';\nimport { METRICS, MetricDefinition } from './metrics';\nimport { UrlState } from './url-state';\nimport { SPORTS } from './sports';\n\n// Augment uPlot to include our custom property\n\ninterface WegPlot extends uPlot {\n _strasse?: {\n selFill: HTMLElement;\n anchorLine: HTMLElement;\n anchorLabel: HTMLElement;\n anchorHandle: HTMLElement;\n anchorMarker: HTMLElement;\n endLine: HTMLElement;\n endLabel: HTMLElement;\n endHandle: HTMLElement;\n endMarker: HTMLElement;\n curYVal: HTMLElement;\n updateHeaderStats: (min: number, max: number) => void;\n };\n}\n\ninterface PlotData {\n uplot: WegPlot;\n row: HTMLDivElement;\n xData: number[];\n yData: (number | null)[];\n def: MetricDefinition;\n metricKey: string;\n statsTotalEl: HTMLDivElement;\n statsSelEl: HTMLDivElement;\n histCol: HTMLDivElement;\n histCanvas: HTMLCanvasElement;\n histData: HistData;\n hoveredHistY: number | null;\n pinnedHistY: number | null;\n smoothed?: boolean;\n incZero?: boolean;\n w?: number;\n}\n\ninterface HistData {\n yData: (number | null)[];\n xData: number[];\n def: MetricDefinition;\n BINS: number;\n plot?: PlotData;\n bins?: number[];\n binAccum?: number[];\n min?: number;\n max?: number;\n padL?: number;\n selBins?: number[] | null;\n selBinAccum?: number[] | null;\n _lastYData?: any;\n _lastSelRange?: [number, number] | null;\n fullStats?: { min: number; max: number; avg: number } | null;\n fullStatsAll?: { min: number; max: number; avg: number } | null;\n}\n\nexport const ChartView = (() => {\n let plots: PlotData[] = [];\n let renderedTrack: TrackData | null = null;\n let renderedXAxis: string = 'time';\n let renderedSpeedMode: string = 'speed';\n let renderedMapColorMetric: string | null = null;\n let syncKey: {\n key: string;\n sub: (u: uPlot) => void;\n unsub: (u: uPlot) => void;\n pub: (type: string, u: uPlot, x: number, y: number, w: number, h: number, i: number) => void;\n } | null = null;\n let scaleSyncing: boolean = false;\n let cursorSyncing: boolean = false;\n let activeMetrics: Set = new Set(['elevation']);\n let availableMetrics: Set = new Set();\n let smoothedMetrics: Set = new Set(['speed', 'gradient', 'vam', 'temperature']);\n let metricsIncludingZero: Set = new Set(['power']);\n let xAxis: string = 'time';\n let currentTrack: TrackData | null = null;\n let allTracks: TrackData[] = [];\n\n // Selection / anchor\n let selAnchorVal: number | null = null; // x-value at drag-start / zoom left edge\n let selEndVal: number | null = null; // x-value at zoom right edge\n let isDragging: boolean = false;\n let updatingRange: boolean = false; // guard against setScale hook re-entry during handle drag\n let pinnedPtIdx: number | null = null; // point index pinned by map click\n let lastMouseXVal: number | null = null; // last hovered x-value for keyboard zoom center\n let lastHistMouseEvent: MouseEvent | null = null;\n let hoveredHistData: HistData | null = null;\n let hoveredHistCanvas: HTMLCanvasElement | null = null;\n\n let currentXRange: [number, number] | null = null; // [min, max] currently rendered\n let targetXRange: [number, number] | null = null; // [min, max] for smooth keyboard animation\n let animId: number | null = null;\n\n // Callbacks\n let onCursorMoveCb: ((pt: TrackPoint | null) => void) | null = null;\n let onRangeChangeCb: ((min: number | null, max: number | null, axis: string) => void) | null =\n null;\n let onClickCb: ((pt: TrackPoint, idx: number) => void) | null = null;\n let onPinChangeCb: ((idx: number | null) => void) | null = null;\n\n const HIST_W: number = 130;\n const ROW_BODY_PADDING: number = 28; // 14px left + 14px right\n const HIST_GAP: number = 20; // margin-left on .hist-col\n let statsVisible: boolean = true;\n let histTooltipEl: HTMLElement | null = null;\n let container: HTMLElement | null = null;\n let emptyEl: HTMLElement | null = null;\n let selStatsEl: HTMLElement | null = null;\n let resetSelBtn: HTMLElement | null = null;\n let mapColorMetric: string | null = null;\n let onMapColorChangeCb: ((data: { pts: TrackPoint[]; colors: string[] } | null) => void) | null =\n null;\n\n // \u2500\u2500 Init \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function init(\n onCursorMove: (pt: TrackPoint | null) => void,\n onRangeChange: (min: number | null, max: number | null, axis: string) => void,\n onClick: (pt: TrackPoint, idx: number) => void,\n onPinChange: (idx: number | null) => void,\n ) {\n onCursorMoveCb = onCursorMove;\n onRangeChangeCb = onRangeChange;\n onClickCb = onClick;\n onPinChangeCb = onPinChange;\n container = document.getElementById('charts-container');\n container?.addEventListener('scroll', () => {\n if (lastHistMouseEvent && hoveredHistCanvas && hoveredHistData)\n updateHistTooltip(lastHistMouseEvent, hoveredHistCanvas, hoveredHistData);\n });\n emptyEl = document.getElementById('chart-empty');\n selStatsEl = document.getElementById('chart-stats-sel');\n resetSelBtn = document.getElementById('btn-reset-selection');\n histTooltipEl = document.getElementById('hist-tooltip');\n syncKey = uPlot.sync('strasse-sync');\n\n document.getElementById('sel-cancel-btn')?.addEventListener('click', cancelSelection);\n resetSelBtn?.classList.add('hidden');\n\n // \u2500\u2500 WASD Keyboard Navigation \u2500\u2500\n const navKeys = new Set(['w', 'a', 's', 'd']);\n const activeNavKeys = new Set();\n\n document.addEventListener('keydown', (e) => {\n if (!plots.length || !currentTrack) return;\n if (['INPUT', 'TEXTAREA', 'SELECT'].includes(document.activeElement?.tagName || '')) return;\n\n const key = e.key.toLowerCase();\n if (!navKeys.has(key)) return;\n\n e.preventDefault();\n activeNavKeys.add(key);\n\n const u = plots[0].uplot;\n if (!targetXRange) targetXRange = [u.scales.x!.min!, u.scales.x!.max!];\n\n let [min, max] = targetXRange;\n const span = max - min;\n const moveStep = span * 0.1;\n const zoomFactor = 0.15;\n\n let newMin = min,\n newMax = max;\n\n if (key === 'a') {\n // Pan left\n newMin = min - moveStep;\n newMax = max - moveStep;\n } else if (key === 'd') {\n // Pan right\n newMin = min + moveStep;\n newMax = max + moveStep;\n } else if (key === 'w' || key === 's') {\n // Zoom\n const center = lastMouseXVal !== null ? lastMouseXVal : (min + max) / 2;\n const factor = key === 'w' ? 1 - zoomFactor : 1 + zoomFactor * 1.2;\n newMin = center - (center - min) * factor;\n newMax = center + (max - center) * factor;\n }\n\n // Clamp to track bounds\n const xFull = [plots[0].xData[0]!, plots[0].xData[plots[0].xData.length - 1]!];\n if (newMin < xFull[0]) {\n const d = xFull[0] - newMin;\n newMin += d;\n newMax += d;\n }\n if (newMax > xFull[1]) {\n const d = newMax - xFull[1];\n newMin -= d;\n newMax -= d;\n }\n newMin = Math.max(xFull[0], newMin);\n newMax = Math.min(xFull[1], newMax);\n\n if (newMax - newMin > 0.001) {\n targetXRange = [newMin, newMax];\n setVisibleRange(newMin, newMax, true); // true = animate\n }\n });\n\n document.addEventListener('keyup', (e) => {\n const key = e.key.toLowerCase();\n if (navKeys.has(key)) activeNavKeys.delete(key);\n });\n }\n\n function setVisibleRange(min: number, max: number, animate = false) {\n if (!plots.length) return;\n if (!animate) {\n plots.forEach(({ uplot: u }) => u.setScale('x', { min, max }));\n return;\n }\n\n const startMin = (currentXRange ? currentXRange[0] : plots[0].uplot.scales.x!.min) as number;\n const startMax = (currentXRange ? currentXRange[1] : plots[0].uplot.scales.x!.max) as number;\n\n if (animId) cancelAnimationFrame(animId);\n\n const lerp = (a: number, b: number, t: number) => a + (b - a) * t;\n const factor = 0.25; // Smoothing factor\n\n const step = () => {\n if (!targetXRange) return;\n const [tMin, tMax] = targetXRange;\n\n const cMin = lerp(currentXRange![0], tMin, factor);\n const cMax = lerp(currentXRange![1], tMax, factor);\n\n plots.forEach(({ uplot: u }) => {\n u.setScale('x', { min: cMin, max: cMax });\n });\n\n if (Math.abs(cMin - tMin) > 0.0001 || Math.abs(cMax - tMax) > 0.0001)\n animId = requestAnimationFrame(step);\n else animId = null;\n };\n animId = requestAnimationFrame(step);\n }\n\n // \u2500\u2500 Public API \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function loadTrack(track: TrackData, others: TrackData[] = [], deferRender = false) {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n allTracks = others;\n\n // Detect which metrics are available in this file\n availableMetrics = new Set(\n Object.entries(METRICS)\n .filter(([, def]) => track.points.some((p) => p[def.field] != null))\n .map(([key]) => key),\n );\n\n // If no metrics are active (e.g. first load), default to core overview metrics\n if (activeMetrics.size === 0) {\n activeMetrics = new Set(['elevation'].filter((m) => availableMetrics.has(m)));\n }\n\n // Sync the pill buttons in the toolbar\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n const metric = pill.dataset.metric!;\n const isAvailable = availableMetrics.has(metric);\n pill.classList.toggle('active', isAvailable && activeMetrics.has(metric));\n pill.classList.toggle('disabled', !isAvailable);\n });\n\n currentTrack = track;\n if (deferRender) {\n updateStats(track);\n } else {\n render();\n }\n }\n\n function clear() {\n pinnedPtIdx = null;\n selAnchorVal = null;\n selEndVal = null;\n currentTrack = null;\n destroyPlots();\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
Select a track to view analysis
\n `;\n }\n const chartStats = document.getElementById('chart-stats');\n if (chartStats) chartStats.classList.add('hidden');\n clearSelectionStats();\n mapColorMetric = null;\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n }\n\n function resetState() {\n if (animId !== null) {\n cancelAnimationFrame(animId);\n animId = null;\n }\n activeMetrics = new Set(['elevation']);\n availableMetrics = new Set();\n smoothedMetrics = new Set(['speed', 'gradient', 'vam', 'temperature']);\n metricsIncludingZero = new Set(['power']);\n xAxis = 'time';\n allTracks = [];\n currentXRange = null;\n targetXRange = null;\n lastMouseXVal = null;\n lastHistMouseEvent = null;\n hoveredHistData = null;\n hoveredHistCanvas = null;\n statsVisible = true;\n clear();\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n pill.classList.remove('disabled', 'overflow-hidden');\n });\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.add('hidden');\n const toolbar = document.getElementById('chart-toolbar');\n if (toolbar) toolbar.classList.remove('collapsed');\n document.querySelectorAll('#x-axis-ctrl .seg-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.axis === 'time');\n });\n }\n\n function toggleMetric(key: string) {\n if (activeMetrics.has(key)) activeMetrics.delete(key);\n else activeMetrics.add(key);\n if (currentTrack) render(true);\n }\n\n function setSmooth(metricKey: string, enabled: boolean, skipRender = false) {\n const has = smoothedMetrics.has(metricKey);\n if (enabled && !has) {\n smoothedMetrics.add(metricKey);\n if (currentTrack && !skipRender) render(true);\n } else if (!enabled && has) {\n smoothedMetrics.delete(metricKey);\n if (currentTrack && !skipRender) render(true);\n }\n }\n\n function setZeroInclusion(metricKey: string, includeZero: boolean) {\n const has = metricsIncludingZero.has(metricKey);\n if (includeZero && !has) {\n metricsIncludingZero.add(metricKey);\n if (currentTrack) render(true);\n } else if (!includeZero && has) {\n metricsIncludingZero.delete(metricKey);\n if (currentTrack) render(true);\n }\n }\n\n function setActiveMetrics(keys: string[]) {\n activeMetrics = new Set(keys);\n if (currentTrack) render(true);\n // Sync the pill buttons\n document.querySelectorAll('.metric-pill').forEach((el) => {\n const pill = el as HTMLElement;\n pill.classList.toggle('active', activeMetrics.has(pill.dataset.metric!));\n });\n }\n\n function setXAxis(axis: string) {\n if (xAxis === axis || !currentTrack) {\n xAxis = axis;\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n\n // Helper to convert a value from OLD axis to NEW axis\n const convert = (val: number | null) => {\n if (val === null) return null;\n // We need to find the point index closest to 'val' on the OLD axis\n let idx = 0;\n if (xAxis === 'distance') {\n const dTarget = val * 1000;\n idx = pts.findIndex((p) => (p.dist || 0) >= dTarget);\n } else {\n const tTarget = t0 + val * 1000;\n idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n }\n if (idx === -1) idx = pts.length - 1;\n\n // Now get the value at this index on the NEW axis\n if (axis === 'distance') return (pts[idx].dist || 0) / 1000;\n else return ((pts[idx].time || t0) - t0) / 1000;\n };\n\n // Convert selection\n if (selAnchorVal !== null) selAnchorVal = convert(selAnchorVal);\n if (selEndVal !== null) selEndVal = convert(selEndVal);\n\n // Convert zoom range (from first plot)\n let newRange: [number, number] | null = null;\n if (plots.length) {\n const u = plots[0].uplot;\n const r0 = convert(u.scales.x!.min!);\n const r1 = convert(u.scales.x!.max!);\n if (r0 !== null && r1 !== null) newRange = [r0, r1];\n }\n\n xAxis = axis;\n render(true);\n\n // Apply converted zoom\n if (newRange) {\n scaleSyncing = true;\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: newRange![0], max: newRange![1] }));\n });\n scaleSyncing = false;\n }\n }\n\n function toggleStats() {\n statsVisible = !statsVisible;\n plots.forEach(({ histCol }) => histCol.classList.toggle('visible', statsVisible));\n resize();\n }\n\n function setMapColorChangeCb(cb: (data: { pts: TrackPoint[]; colors: string[] } | null) => void) {\n onMapColorChangeCb = cb;\n }\n\n function toggleMapColor(key: string | null, skipRender = false) {\n if (mapColorMetric === key || key === null) {\n mapColorMetric = null;\n _updateMapColorBtns();\n if (onMapColorChangeCb) onMapColorChangeCb(null);\n } else {\n mapColorMetric = key;\n _updateMapColorBtns();\n _fireMapColorCb();\n }\n // Re-render to show/hide colored fills on the graphs\n if (currentTrack && !skipRender) render(true);\n }\n\n function _updateMapColorBtns() {\n document.querySelectorAll('.map-color-btn').forEach((el) => {\n const b = el as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === mapColorMetric);\n });\n }\n\n function _fireMapColorCb() {\n if (!onMapColorChangeCb || !mapColorMetric || !currentTrack) return;\n const plot = plots.find((p) => p.metricKey === mapColorMetric);\n if (!plot) return;\n const colors = _computePointColors(mapColorMetric, plot.yData);\n onMapColorChangeCb({ pts: currentTrack.points, colors });\n }\n\n function _computePointColors(key: string, yData: (number | null)[]): string[] {\n const vals = yData.filter((v): v is number => v != null && isFinite(v));\n if (!vals.length) return yData.map(() => '#888896');\n const min = Math.min(...vals),\n max = Math.max(...vals);\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n return yData.map((v) => {\n if (v == null || !isFinite(v)) return '#888896';\n if (key === 'gradient') return gradientColor(v);\n if (key === 'speed') {\n if (speedMode === 'pace') {\n const speed = (paceUnit === 'km' ? 1000 : 100) / v;\n return speedColor(speed);\n }\n return speedColor(v);\n }\n const t = max === min ? 0.5 : Math.max(0, Math.min(1, (v - min) / (max - min)));\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25);\n if (t <= 0.5) return lerpHex('#91bfdb', '#fee090', (t - 0.25) / 0.25);\n if (t <= 0.75) return lerpHex('#fee090', '#fc8d59', (t - 0.5) / 0.25);\n return lerpHex('#fc8d59', '#d73027', (t - 0.75) / 0.25);\n });\n }\n\n function resetZoom() {\n cancelSelection();\n }\n\n function cancelSelection() {\n selAnchorVal = null;\n selEndVal = null;\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n\n // Reset individual histogram pins\n plots.forEach((p) => {\n p.pinnedHistY = null;\n });\n\n updateSelOverlay();\n redrawHistograms();\n\n // Perform the actual zoom reset\n scaleSyncing = true;\n plots.forEach(({ uplot: u, xData }) => {\n u.batch(() => u.setScale('x', { min: xData[0]!, max: xData[xData.length - 1]! }));\n u._strasse?.updateHeaderStats(xData[0]!, xData[xData.length - 1]!);\n });\n scaleSyncing = false;\n\n if (onRangeChangeCb) onRangeChangeCb(null, null, xAxis);\n }\n\n function setSelectionStats(stats: TrackStats) {\n if (!selStatsEl) return;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt(\n 'sel-distance',\n stats.totalDist != null ? `${(stats.totalDist / 1000).toFixed(1)} km` : '\u2014',\n );\n fmt('sel-duration', stats.duration != null ? fmtSecs(Math.floor(stats.duration / 1000)) : '\u2014');\n fmt('sel-elevation', stats.elevGain != null ? `${Math.round(stats.elevGain)} m` : '\u2014');\n fmt(\n 'sel-avg-speed',\n stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014',\n );\n fmt('sel-avg-power', stats.avgPower != null ? `${stats.avgPower} W` : '\u2014');\n fmt('sel-avg-hr', stats.avgHR != null ? `${stats.avgHR} bpm` : '\u2014');\n fmt('sel-avg-temp', stats.avgTemp != null ? `${stats.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n selStatsEl.classList.remove('hidden');\n if (resetSelBtn) resetSelBtn.classList.remove('hidden');\n }\n\n function clearSelectionStats() {\n if (selStatsEl) selStatsEl.classList.add('hidden');\n if (resetSelBtn) resetSelBtn.classList.add('hidden');\n [\n 'sel-distance',\n 'sel-duration',\n 'sel-elevation',\n 'sel-avg-speed',\n 'sel-avg-power',\n 'sel-avg-hr',\n 'sel-avg-temp',\n ].forEach((id) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = '--';\n });\n }\n\n // Called on boot to restore a saved selection without re-firing onRangeChangeCb\n // xMin/xMax are ALWAYS provided in Time (seconds from start)\n function restoreSelection(tMin: number, tMax: number, deferRender = false) {\n if (!currentTrack) return;\n const pts = currentTrack.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const totalDuration = ((pts[pts.length - 1]?.time || 0) - t0) / 1000;\n\n // If values look like absolute timestamps in ms, convert to seconds from start\n if (tMin > 1e12) tMin = (tMin - t0) / 1000;\n if (tMax > 1e12) tMax = (tMax - t0) / 1000;\n\n // Crop to max limits of the track\n tMin = Math.max(0, Math.min(tMin, totalDuration));\n tMax = Math.max(0, Math.min(tMax, totalDuration));\n\n const convert = (tOffset: number) => {\n if (xAxis === 'time') return tOffset;\n const tTarget = t0 + tOffset * 1000;\n let idx = pts.findIndex((p) => (p.time || 0) >= tTarget);\n if (idx === -1) idx = pts.length - 1;\n return (pts[idx].dist || 0) / 1000;\n };\n\n const xMin = convert(tMin);\n const xMax = convert(tMax);\n\n selAnchorVal = xMin;\n selEndVal = xMax;\n currentXRange = [xMin, xMax];\n if (deferRender) return;\n scaleSyncing = true; // suppress the setScale \u2192 onRangeChangeCb loop\n plots.forEach(({ uplot: u }) => {\n u.batch(() => u.setScale('x', { min: xMin, max: xMax }));\n });\n scaleSyncing = false;\n updateAnchorLines();\n redrawHistograms();\n }\n\n function resize() {\n if (!plots.length || !container) return;\n const w = Math.round(\n Math.max(\n 100,\n container.getBoundingClientRect().width -\n ROW_BODY_PADDING -\n (statsVisible ? HIST_W + HIST_GAP : 0),\n ),\n );\n let anyResized = false;\n plots.forEach(({ uplot: u, histCanvas, histData }) => {\n if (w !== u.width) {\n u.setSize({ width: w, height: u.height });\n anyResized = true;\n if (statsVisible && histCanvas && histData) drawHistogram(histCanvas, histData, u.height);\n }\n });\n if (anyResized) updateSelOverlay();\n }\n\n // \u2500\u2500 Render \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function render(keepState = false) {\n let savedRange: [number, number] | null = null;\n let savedScroll = 0;\n if (keepState && container) savedScroll = container.scrollTop;\n\n if (keepState && currentXRange) {\n savedRange = [currentXRange[0], currentXRange[1]];\n } else if (keepState && plots.length) {\n const u = plots[0].uplot;\n savedRange = [u.scales.x!.min!, u.scales.x!.max!];\n }\n\n if (!currentTrack) {\n destroyPlots(keepState);\n return;\n }\n const pts = currentTrack.points;\n if (!pts.length) {\n destroyPlots(keepState);\n return;\n }\n\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n const paceUnit = sportDef?.paceUnit || 'km';\n\n const available = [...activeMetrics].filter((m) =>\n pts.some((p) => p[METRICS[m].field] != null),\n );\n if (!available.length) {\n destroyPlots(keepState);\n if (emptyEl) {\n emptyEl.style.display = 'flex';\n emptyEl.innerHTML = `\n no_sim\n
No data for selected metrics
\n `;\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n\n const containerW = container ? container.getBoundingClientRect().width : 800;\n const w = Math.round(\n Math.max(100, containerW - ROW_BODY_PADDING - (statsVisible ? HIST_W + HIST_GAP : 0)),\n );\n\n const canReuse =\n keepState &&\n renderedTrack === currentTrack &&\n renderedXAxis === xAxis &&\n renderedSpeedMode === speedMode &&\n renderedMapColorMetric === mapColorMetric &&\n plots.length > 0;\n\n let xData: (number | null)[];\n if (canReuse) {\n xData = plots[0].xData;\n } else if (xAxis === 'distance') {\n xData = pts.map((p) => (p.dist || 0) / 1000);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n let lastValidX = 0;\n xData = pts.map((p) => {\n if (p.time != null) {\n lastValidX = (p.time - t0) / 1000;\n return lastValidX;\n }\n return lastValidX; // monotonic fallback\n });\n }\n\n const existingByKey = new Map();\n if (canReuse) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const availSet = new Set(available);\n for (const p of plots) {\n const isSmoothed = smoothedMetrics.has(p.metricKey);\n const isIncZero = metricsIncludingZero.has(p.metricKey);\n if (\n availSet.has(p.metricKey) &&\n p.smoothed === isSmoothed &&\n p.incZero === isIncZero &&\n p.w === w\n ) {\n existingByKey.set(p.metricKey, p);\n } else {\n syncKey!.unsub(p.uplot);\n p.uplot.destroy();\n p.row.remove();\n }\n }\n plots = [];\n } else {\n destroyPlots(keepState);\n }\n\n if (container) {\n const nextSiblingRows: (HTMLElement | null)[] = new Array(available.length).fill(null);\n let nextExisting: HTMLElement | null = null;\n for (let i = available.length - 1; i >= 0; i--) {\n nextSiblingRows[i] = nextExisting;\n const ex = existingByKey.get(available[i]);\n if (ex) nextExisting = ex.row;\n }\n\n available.forEach((key, idx) => {\n const reused = existingByKey.get(key);\n if (reused) {\n plots.push(reused);\n const uplot = reused.uplot;\n const s = (uplot as any)._strasse;\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n uplot.batch(() => {\n if (\n savedRange &&\n (uplot.scales.x!.min !== savedRange[0] || uplot.scales.x!.max !== savedRange[1])\n ) {\n uplot.setScale('x', { min: savedRange[0], max: savedRange[1] });\n } else {\n s?.updateHeaderStats(uplot.scales.x!.min!, uplot.scales.x!.max!, uplot);\n uplot.redraw(false);\n }\n });\n scaleSyncing = prevSync;\n\n let initHoverBinI: number | null = null;\n if (\n pinnedPtIdx != null &&\n reused.xData[pinnedPtIdx] != null &&\n reused.yData[pinnedPtIdx] != null\n ) {\n buildHistBins(reused.histData);\n if (reused.histData.min != null && reused.histData.max != null) {\n const span = reused.histData.max - reused.histData.min || 1;\n initHoverBinI = Math.min(\n reused.histData.BINS - 1,\n Math.floor(\n ((reused.yData[pinnedPtIdx]! - reused.histData.min) / span) *\n reused.histData.BINS,\n ),\n );\n reused.hoveredHistY = reused.yData[pinnedPtIdx];\n }\n }\n drawHistogram(reused.histCanvas, reused.histData, 130, initHoverBinI);\n return;\n }\n\n let def = METRICS[key];\n\n let transform = def.transform;\n let fmt = def.fmt;\n let fmtAxis = def.fmtAxis;\n let unit = def.unit;\n let label = def.label;\n\n if (key === 'speed' && speedMode === 'pace') {\n label = 'Pace';\n unit = `min/${paceUnit}`;\n fmt = (v) => fmtPace(v);\n fmtAxis = (v) => fmtPace(v);\n transform = (v) => {\n if (v == null || v < 0.1) return null;\n return (paceUnit === 'km' ? 1000 : 100) / v;\n };\n\n def = { ...def, label, unit, fmt, fmtAxis, transform };\n }\n\n let yData = def.compute\n ? def.compute(pts, fillNulls)\n : fillNulls(\n pts.map((p) => {\n const v = p[def.field] as number;\n return v != null && transform ? transform(v) : v;\n }),\n );\n\n if (smoothedMetrics.has(key)) yData = gaussianSmooth(yData, def.smoothSigma || 2);\n\n createChart(key, def, xData, yData, w, pts, savedRange, nextSiblingRows[idx]);\n });\n }\n\n renderedTrack = currentTrack;\n renderedXAxis = xAxis;\n renderedSpeedMode = speedMode;\n renderedMapColorMetric = mapColorMetric;\n\n updateStats(currentTrack);\n // Restore anchor/end lines if a selection was active\n if (selAnchorVal != null && selEndVal != null) updateAnchorLines();\n // Re-apply map color if active\n _updateMapColorBtns();\n if (mapColorMetric) _fireMapColorCb();\n\n if (keepState && container && savedScroll > 0) container.scrollTop = savedScroll;\n }\n\n // \u2500\u2500 Create one chart row \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function createChart(\n metricKey: string,\n def: MetricDefinition,\n xData: (number | null)[],\n yData: (number | null)[],\n w: number,\n pts: TrackPoint[],\n initialRange: [number, number] | null = null,\n insertBeforeEl: HTMLElement | null = null,\n ) {\n const sport = currentTrack?.sport;\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const defaultMode = sportDef?.defaultPreset || 'speed';\n const urlState = UrlState.get();\n const speedMode = (urlState as any).speed_mode || defaultMode;\n\n // Gradient data: smooth over a 20 m distance window (\u00B110 m each side)\n const gradData = metricKey === 'elevation' ? smoothGradient(pts, 20) : null;\n const row = document.createElement('div');\n row.className = 'chart-row';\n row.dataset.metric = metricKey;\n row.style.setProperty('--chart-color', def.color);\n\n // Header\n const header = document.createElement('div');\n header.className = `chart-row-header${statsVisible ? ' with-histogram' : ''}`;\n\n const labelEl = document.createElement('div');\n labelEl.className = 'chart-row-label-group';\n labelEl.innerHTML = `\n ${def.icon}\n ${def.label}\n `;\n\n // Smoothing toggle\n const smoothBtn = document.createElement('button');\n smoothBtn.className = `icon-btn mini smooth-btn${smoothedMetrics.has(metricKey) ? ' active' : ''}`;\n smoothBtn.title = 'Toggle data smoothing';\n smoothBtn.innerHTML = `${smoothedMetrics.has(metricKey) ? 'blur_on' : 'blur_off'}`;\n smoothBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (smoothedMetrics.has(metricKey)) smoothedMetrics.delete(metricKey);\n else smoothedMetrics.add(metricKey);\n\n render(true); // Re-render all charts to keep sync if needed (though only this one changes data)\n });\n\n const mapColorBtn = document.createElement('button');\n\n mapColorBtn.className = `map-color-btn icon-btn${mapColorMetric === metricKey ? ' active' : ''}`;\n mapColorBtn.dataset.metric = metricKey;\n mapColorBtn.title = 'Color map track by this metric';\n mapColorBtn.innerHTML = 'colorize';\n mapColorBtn.addEventListener('click', () => toggleMapColor(metricKey));\n\n // Zero-filter toggle (Cadence/Power/Speed)\n let zeroBtn: HTMLButtonElement | null = null;\n if (metricKey === 'cadence' || metricKey === 'power' || metricKey === 'speed') {\n zeroBtn = document.createElement('button');\n const incZero = metricsIncludingZero.has(metricKey);\n zeroBtn.className = `icon-btn mini${incZero ? ' active' : ''}`;\n zeroBtn.title = incZero ? 'Currently INCLUDING 0 values' : 'Currently EXCLUDING 0 values';\n zeroBtn.innerHTML = `${incZero ? 'exposure_zero' : 'mobile_off'}`;\n zeroBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n if (metricsIncludingZero.has(metricKey)) metricsIncludingZero.delete(metricKey);\n else metricsIncludingZero.add(metricKey);\n render(true);\n });\n }\n\n const statsTotalEl = document.createElement('div');\n statsTotalEl.className = 'chart-stats-total';\n\n const statsSelEl = document.createElement('div');\n statsSelEl.className = 'chart-stats-selection';\n\n const statsContainer = document.createElement('div');\n statsContainer.className = 'chart-row-stats-container';\n statsContainer.append(statsTotalEl, statsSelEl);\n\n const actionsEl = document.createElement('div');\n actionsEl.className = 'chart-row-actions';\n actionsEl.append(smoothBtn, mapColorBtn);\n\n const rightActionsEl = document.createElement('div');\n rightActionsEl.className = 'chart-row-right-actions';\n\n if (metricKey === 'speed') {\n const paceToggle = document.createElement('div');\n paceToggle.className = 'seg-ctrl';\n paceToggle.innerHTML = `\n \n \n `;\n paceToggle.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const mode = btn.dataset.mode;\n if (mode === 'speed' || mode === 'pace') {\n const isDefault = mode === defaultMode;\n UrlState.patch({ speed_mode: isDefault ? null : mode });\n render(true);\n }\n });\n rightActionsEl.append(paceToggle);\n }\n\n if (zeroBtn) rightActionsEl.append(zeroBtn);\n\n header.append(labelEl, actionsEl, statsContainer, rightActionsEl);\n\n const rowBody = document.createElement('div');\n rowBody.className = 'chart-row-body';\n\n const plotEl = document.createElement('div');\n plotEl.style.position = 'relative';\n rowBody.appendChild(plotEl);\n\n const fixedMinLabel = document.createElement('div');\n fixedMinLabel.className = 'fixed-x-label fixed-x-min';\n const fixedMaxLabel = document.createElement('div');\n fixedMaxLabel.className = 'fixed-x-label fixed-x-max';\n plotEl.append(fixedMinLabel, fixedMaxLabel);\n\n const histCol = document.createElement('div');\n histCol.className = `hist-col${statsVisible ? ' visible' : ''}`;\n const histCanvas = document.createElement('canvas');\n histCanvas.className = 'hist-canvas';\n histCol.appendChild(histCanvas);\n rowBody.appendChild(histCol);\n\n row.append(header, rowBody);\n\n const isDistAxis = xAxis === 'distance';\n\n function formatX(v: number, range: number): string {\n if (v == null) return '';\n if (isDistAxis) {\n const dec = range < 1 ? 3 : range < 5 ? 2 : range < 20 ? 1 : 0;\n return `${v.toFixed(dec)} km`;\n } else {\n const absV = Math.abs(v);\n const h = Math.floor(absV / 3600);\n const m = Math.floor((absV % 3600) / 60);\n const s = Math.round(absV % 60);\n const hh = h > 0 ? `${h}:` : '';\n const mm = h > 0 ? String(m).padStart(2, '0') : String(m);\n const ss = String(s).padStart(2, '0');\n return `${v < 0 ? '-' : ''}${hh}${mm}:${ss}`;\n }\n }\n\n const incZeroDefault =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Compute global Y range and full-track stats in a single pass\n let gMin = Infinity,\n gMax = -Infinity,\n allSum = 0,\n allCount = 0,\n filtMin = Infinity,\n filtMax = -Infinity,\n filtSum = 0,\n filtCount = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < gMin) gMin = v;\n if (v > gMax) gMax = v;\n allSum += v;\n allCount++;\n if (v !== 0 || incZeroDefault) {\n if (v < filtMin) filtMin = v;\n if (v > filtMax) filtMax = v;\n filtSum += v;\n filtCount++;\n }\n }\n if (allCount === 0) {\n gMin = 0;\n gMax = 100;\n }\n const fullStatsAll = allCount ? { min: gMin, max: gMax, avg: allSum / allCount } : null;\n const fullStatsFiltered = filtCount\n ? { min: filtMin, max: filtMax, avg: filtSum / filtCount }\n : null;\n const gPad = Math.abs(gMax - gMin) * 0.1 || 1;\n const fixedYRange = [gMin - gPad, gMax + gPad];\n\n let statsTotalInitialized = false;\n\n // Per-range stats\n function updateHeaderStats(visibleMin: number, visibleMax: number, u?: uPlot) {\n const incZero =\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n // Update fixed X labels\n const range = visibleMax - visibleMin;\n fixedMinLabel.textContent = formatX(visibleMin, range);\n fixedMaxLabel.textContent = formatX(visibleMax, range);\n\n const getHtml = (xMin: number, xMax: number, isFull = false) => {\n const s =\n isFull && incZero === incZeroDefault\n ? fullStatsFiltered\n : rangeStats(xData, yData, xMin, xMax, incZero);\n if (!s) return '';\n\n let h = `\n align_flex_end${def.fmt(s.min, true)} ${def.unit}\n align_center${def.fmt(s.avg, true)} ${def.unit}\n align_flex_start${def.fmt(s.max, true)} ${def.unit}\n `;\n\n if (metricKey === 'elevation') {\n const es = elevationRangeStats(pts, xMin, xMax);\n h += `\n trending_up+${Math.round(es.gain)} m\n trending_down-${Math.round(es.loss)} m\n `;\n }\n return h;\n };\n\n if (!statsTotalInitialized) {\n statsTotalInitialized = true;\n statsTotalEl.innerHTML = `all_inclusive${getHtml(\n xData[0]!,\n xData[xData.length - 1]!,\n true,\n )}`;\n statsTotalEl.querySelector('.all-chip')?.addEventListener('click', (e) => {\n e.stopPropagation();\n cancelSelection();\n });\n }\n\n if (selAnchorVal !== null && selEndVal !== null) {\n statsSelEl.innerHTML = getHtml(selAnchorVal, selEndVal, false);\n statsSelEl.style.display = 'flex';\n statsSelEl.style.setProperty('--sel-color', def.color);\n } else {\n statsSelEl.style.display = 'none';\n }\n }\n let initializingScale = false;\n const uOpts: uPlot.Options = {\n width: w,\n height: 130,\n padding: [4, 0, 0, 0],\n cursor: {\n sync: {\n key: syncKey!.key,\n },\n drag: { x: true, y: false, uni: 16 },\n focus: { prox: 16 },\n points: {\n size: 7,\n stroke: '#0e0e10',\n width: 2,\n fill: (metricKey === 'elevation'\n ? (u: uPlot, _si: number) => gradientColor(gradData ? gradData[u.cursor.idx!]! : null)\n : def.color) as any,\n },\n x: false,\n y: false,\n },\n select: {\n show: true,\n left: 0,\n top: 0,\n width: 0,\n height: 0,\n },\n legend: { show: false },\n scales: {\n x: {\n time: false,\n range: (_u: uPlot, mn: number, mx: number) => [mn, mx],\n min: initialRange ? initialRange[0] : undefined,\n max: initialRange ? initialRange[1] : undefined,\n },\n y: {\n range: () => fixedYRange as [number, number],\n dir: metricKey === 'speed' && speedMode === 'pace' ? -1 : 1,\n },\n },\n axes: [\n {\n side: 2, // bottom\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: {\n show: true,\n stroke: '#2e2e34',\n },\n size: 30,\n space: 80,\n font: '10px system-ui, sans-serif',\n splits: (u: uPlot, axisIdx: number, scaleMin: number, scaleMax: number) => {\n const range = scaleMax - scaleMin;\n const width = u.bbox.width > 0 ? u.bbox.width : u.width;\n const targetLabels = width / 80;\n const idealIncr = range / targetLabels;\n\n let incrs;\n if (!isDistAxis) {\n // Time in seconds\n incrs = [\n 1, 2, 5, 10, 15, 30, 60, 120, 300, 600, 900, 1800, 3600, 7200, 14400, 28800, 43200,\n 86400, 604800, 2592000, 31536000,\n ];\n } else {\n incrs = [\n 0.01, 0.02, 0.05, 0.1, 0.2, 0.25, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,\n 2000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000,\n ];\n }\n\n let incr = incrs[incrs.length - 1];\n for (let i = 0; i < incrs.length; i++) {\n if (incrs[i] >= idealIncr) {\n incr = incrs[i];\n break;\n }\n }\n\n const splits = [];\n let val = Math.ceil(scaleMin / incr) * incr;\n const precision = incr < 1 ? 2 : 0;\n\n while (val <= scaleMax) {\n const pos = u.valToPos(val, 'x', true);\n if (pos >= u.bbox.left + 80 && pos <= u.bbox.left + u.bbox.width - 80)\n splits.push(Number(val.toFixed(precision)));\n\n val += incr;\n }\n return splits;\n },\n values: ((_u: uPlot, vals: number[]) => {\n const range = (_u.scales.x?.max ?? 1) - (_u.scales.x?.min ?? 0);\n\n return vals.map((v) => {\n if (v == null) return '';\n const pos = _u.valToPos(v, 'x', true);\n // Strict 80px margin to prevent overlapping with fixed labels or Y axis\n if (pos < _u.bbox.left + 80 || pos > _u.bbox.left + _u.bbox.width - 80) return null;\n return formatX(v, range);\n });\n }) as any,\n },\n {\n side: 3, // left\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n ticks: { stroke: '#2e2e34' },\n size: 55,\n font: '10px system-ui, sans-serif',\n values: ((_u: uPlot, vals: number[]) =>\n vals.map((v) => (v != null ? def.fmtAxis(v) : ''))) as any,\n },\n ],\n series: [\n {},\n // Main selected track series\n {\n label: def.label,\n stroke: 'rgba(0,0,0,0)', // Stroke handled in draw hooks for layering\n width: 0,\n points: { show: false },\n paths: () => null,\n },\n ],\n hooks: {\n draw: [\n (u: uPlot) => {\n const top = u.bbox.top + u.bbox.height + 5; // 5px below plot area!\n fixedMinLabel.style.top = `${top}px`;\n fixedMinLabel.style.left = `${u.bbox.left}px`;\n\n fixedMaxLabel.style.top = `${top}px`;\n fixedMaxLabel.style.left = `${u.bbox.left + u.bbox.width}px`;\n fixedMaxLabel.style.transform = 'translateX(-100%)';\n },\n // 1. (bottom) Color / metric color of the selected track\n (u: uPlot) => {\n if (metricKey === 'gears') {\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n } else if (metricKey === 'elevation') {\n drawElevationGradient(u, xData as number[], yData as number[], gradData);\n } else if (metricKey === 'gradient') {\n drawGradientChart(u, xData as number[], yData as number[]);\n } else if (mapColorMetric === metricKey) {\n drawMetricColorFill(u, xData as number[], yData as number[], pts, metricKey);\n } else {\n // Normal colored line\n drawTrackPath(\n u,\n xData as number[],\n yData as number[],\n def.color,\n 1.5,\n metricKey,\n null,\n pts,\n );\n }\n },\n\n // 2. Pinned point (middle)\n (u: uPlot) => {\n const plot = plots.find((p) => p.uplot === u);\n if (!plot) return;\n\n const s = (u as any)._strasse;\n // Priority 1: Global pinned point (all charts)\n if (pinnedPtIdx != null) {\n drawPinnedDot(u, xData, yData, def.color, def, pts, metricKey);\n } else {\n if (s && s.pinYVal) s.pinYVal.style.display = 'none';\n\n // Priority 2: Individual histogram pinned Y-pos (this chart only)\n if (plot.pinnedHistY != null)\n drawYAxisHighlight(u, xData, yData, plot.pinnedHistY, def.color, def);\n }\n },\n\n // 3. Pinned & Hover elements (labels, vertical lines)\n (u: uPlot) => {\n const hIdx = u.cursor.idx;\n const hasPinned = pinnedPtIdx != null;\n\n let hasHover = hIdx != null && u.cursor.left! >= 0;\n if (hasHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[hIdx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) hasHover = false;\n }\n\n // B. Draw Hover vertical line\n if (hasHover && hIdx !== pinnedPtIdx)\n drawVerticalLineOnly(u, pts, hIdx!, hexToRgba(def.color, 0.4), 1.0);\n\n // C. Bold selection x-axis line & span pill\n if (selAnchorVal != null && selEndVal != null) {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ax = u.valToPos(selAnchorVal, 'x', true);\n const ex = u.valToPos(selEndVal, 'x', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.lineWidth = 3 * dpr;\n ctx.strokeStyle = def.color;\n ctx.moveTo(ax, bb.top + bb.height);\n ctx.lineTo(ex, bb.top + bb.height);\n ctx.stroke();\n\n const span = Math.abs(selEndVal - selAnchorVal);\n const label = xAxis === 'distance' ? `${span.toFixed(2)} km` : fmtSecs(span);\n const fontSize = 9 * dpr;\n const fontStr = `bold ${fontSize}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n\n const visibleL = Math.max(bb.left, ax);\n const visibleR = Math.min(bb.left + bb.width, ex);\n const visibleW = visibleR - visibleL;\n\n if (visibleW > tw + 14 * dpr) {\n const padH = 5 * dpr;\n const padV = 2 * dpr;\n const bw = tw + padH * 2;\n const bh = fontSize + padV * 2;\n const bx = (visibleL + visibleR) / 2 - bw / 2;\n const by = bb.top + bb.height - bh / 2;\n\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = def.color;\n ctx.fill();\n\n ctx.fillStyle = '#000';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2);\n }\n ctx.restore();\n }\n\n // D. Draw label pills (on top)\n // Pinned labels first (semi-transparent)\n if (hasPinned) drawXAxisLabels(u, pts, pinnedPtIdx!, def.color, true, 0.7);\n\n // Hover labels last (fully opaque, topmost)\n if (hasHover && hIdx !== pinnedPtIdx)\n drawXAxisLabels(u, pts, hIdx!, def.color, true, 1.0);\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (scaleSyncing) return;\n const idx = u.cursor.idx;\n\n // Trigger redraw on cursor move to ensure custom canvas markers (hover lines/labels) update live\n // Note: uPlot handles cross-chart sync when syncKey is used.\n u.redraw(false);\n\n // Track current x-value for keyboard navigation\n if (u.cursor.left! >= 0) lastMouseXVal = u.posToVal(u.cursor.left!, 'x');\n else lastMouseXVal = null;\n\n // \u2500\u2500 Floating y-value next to cursor dot \u2500\u2500\n const s = (u as any)._strasse;\n let showHover = idx != null && yData[idx] != null;\n\n // Distance threshold: if no pinned point, check proximity to data line\n if (showHover && pinnedPtIdx == null) {\n const cy = u.valToPos(yData[idx!]!, 'y', true);\n const dist = Math.abs(u.cursor.top! - cy);\n if (dist > 100) showHover = false;\n }\n\n if (s) {\n if (showHover)\n updateTooltip(\n u,\n s.curYVal,\n idx!,\n xData as number[],\n yData as number[],\n pts,\n def,\n metricKey,\n );\n else s.curYVal.style.display = 'none';\n }\n\n // Map marker\n if (!cursorSyncing) {\n if (idx != null && pts[idx]) {\n if (onCursorMoveCb && (pinnedPtIdx != null || showHover)) {\n onCursorMoveCb(pts[idx]);\n } else if (onCursorMoveCb && !showHover) {\n // If we're too far and nothing is pinned, hide map cursor\n onCursorMoveCb(null);\n }\n } else if (idx === null && onCursorMoveCb) {\n onCursorMoveCb(null);\n }\n }\n\n // Highlight matching histogram bucket\n if (idx != null && yData[idx] != null) {\n const { min, max } = histData;\n if (min != null && max != null) {\n const span = max - min || 1;\n const binI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[idx]! - min) / span) * histData.BINS),\n );\n if (plot.hoveredHistY !== yData[idx]) {\n plot.hoveredHistY = yData[idx];\n drawHistogram(histCanvas, histData, 130, binI);\n }\n }\n } else if (plot.hoveredHistY !== null) {\n plot.hoveredHistY = null;\n drawHistogram(histCanvas, histData, 130);\n }\n },\n ],\n\n setScale: [\n (u: uPlot, key: string) => {\n if (key !== 'x' || initializingScale) return;\n const { min, max } = u.scales.x!;\n\n // Sync currentXRange so keyboard navigation baseline is always accurate\n currentXRange = [min!, max!];\n\n // Update header stats for VISIBLE range\n updateHeaderStats(min as number, max as number, u);\n\n if (scaleSyncing) return;\n\n // Clear keyboard target when user interacts via mouse\n if (!updatingRange) targetXRange = null;\n\n // Sync sibling plots\n scaleSyncing = true;\n plots.forEach(({ uplot: other }) => {\n if (other !== u) other.batch(() => other.setScale('x', { min: min!, max: max! }));\n });\n scaleSyncing = false;\n\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb && selAnchorVal !== null)\n onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n },\n ],\n\n setSelect: [\n (u: uPlot) => {\n if (updatingRange) return;\n targetXRange = null;\n const { left, width } = u.select;\n if (width > 0) {\n const min = u.posToVal(left, 'x');\n const max = u.posToVal(left + width, 'x');\n selAnchorVal = min;\n selEndVal = max;\n\n // Sync stats to new selection\n updateHeaderStats(u.scales.x!.min!, u.scales.x!.max!, u);\n updateSelOverlay();\n redrawHistograms();\n\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n\n // Clear uPlot's internal selection immediately so it doesn't block WASD/interaction\n u.setSelect({ left: 0, top: 0, width: 0, height: 0 }, false);\n }\n },\n ],\n },\n };\n\n // \u2500\u2500 Overlay (pointer-events off except handles) \u2500\u2500\n const overlay = document.createElement('div');\n overlay.style.cssText =\n 'position:absolute;inset:0;pointer-events:none;overflow:visible;z-index:5';\n\n // Selection fill\n const selFill = document.createElement('div');\n selFill.className = 'sel-fill';\n selFill.style.display = 'none';\n\n // Anchor line + label + drag handle\n const anchorLine = document.createElement('div');\n anchorLine.className = 'sel-line sel-line-anchor';\n anchorLine.style.display = 'none';\n\n const anchorLabel = document.createElement('div');\n anchorLabel.className = 'sel-line-label sel-line-label-anchor';\n anchorLabel.style.display = 'none';\n\n const anchorHandle = document.createElement('div');\n anchorHandle.className = 'sel-handle sel-handle-anchor';\n anchorHandle.style.display = 'none';\n\n const anchorMarker = document.createElement('div');\n anchorMarker.className = 'sel-graph-marker';\n anchorMarker.innerHTML =\n 'play_circle';\n anchorMarker.style.display = 'none';\n\n // End line + label + drag handle\n const endLine = document.createElement('div');\n endLine.className = 'sel-line sel-line-end';\n endLine.style.display = 'none';\n\n const endLabel = document.createElement('div');\n endLabel.className = 'sel-line-label sel-line-label-end';\n endLabel.style.display = 'none';\n\n const endHandle = document.createElement('div');\n endHandle.className = 'sel-handle sel-handle-end';\n endHandle.style.display = 'none';\n\n const endMarker = document.createElement('div');\n endMarker.className = 'sel-graph-marker';\n endMarker.innerHTML =\n 'stop_circle';\n endMarker.style.display = 'none';\n\n // Floating cursor y-value\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${def.color};display:none`;\n\n // Floating pinned y-value\n const pinYVal = document.createElement('div');\n pinYVal.className = 'cur-y-val pin';\n pinYVal.style.cssText = `color:${def.color};display:none`;\n\n overlay.append(\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n );\n\n const histData: HistData = {\n yData,\n xData: xData as number[],\n def,\n BINS: 24,\n min: allCount ? gMin : undefined,\n max: allCount ? gMax : undefined,\n fullStats: fullStatsFiltered,\n fullStatsAll,\n };\n const plot: PlotData = {\n uplot: null as any,\n row,\n xData: xData as number[],\n yData,\n def,\n metricKey,\n statsTotalEl,\n statsSelEl,\n histCol,\n histCanvas,\n histData,\n hoveredHistY: null,\n pinnedHistY: null,\n smoothed: smoothedMetrics.has(metricKey),\n incZero: metricsIncludingZero.has(metricKey),\n w,\n };\n histData.plot = plot; // Back-reference for tooltip to trigger redraws\n\n const prevSync = scaleSyncing;\n scaleSyncing = true;\n const uplot = new uPlot(uOpts, [xData, yData] as any, (self, init) => {\n plot.uplot = self as WegPlot;\n plots.push(plot);\n plotEl.appendChild(self.root);\n self.over.appendChild(overlay);\n (self as any)._strasse = {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n curYVal,\n pinYVal,\n updateHeaderStats,\n };\n self.batch(() => {\n init();\n });\n }) as WegPlot;\n scaleSyncing = prevSync;\n\n // \u2500\u2500 Handle drag \u2500\u2500\n attachHandleDrag(anchorHandle, uplot, xData, true);\n attachHandleDrag(endHandle, uplot, xData, false);\n\n // \u2500\u2500 Mouse listeners \u2500\u2500\n let mousedownX: number | null = null;\n uplot.over.addEventListener('mousedown', (e) => {\n if (e.button !== 0) return;\n isDragging = false;\n const rect = uplot.over.getBoundingClientRect();\n const xPx = e.clientX - rect.left;\n mousedownX = xPx;\n });\n uplot.over.addEventListener('mousemove', (e) => {\n if (mousedownX !== null) {\n const rect = uplot.over.getBoundingClientRect();\n if (Math.abs(e.clientX - rect.left - mousedownX) > 5) isDragging = true;\n }\n });\n uplot.over.addEventListener('mouseup', () => {\n mousedownX = null;\n });\n\n // Click to pin point (sticky selection)\n uplot.over.addEventListener('click', () => {\n if (isDragging) return;\n const idx = uplot.cursor.idx;\n if (idx != null && pts[idx]) {\n pinnedPtIdx = idx;\n plots.forEach(({ uplot: u }) => u.redraw(false));\n if (onClickCb) onClickCb(pts[idx], idx);\n if (onPinChangeCb) onPinChangeCb(idx);\n }\n });\n\n row.addEventListener('dblclick', cancelSelection);\n\n let initHoverBinI: number | null = null;\n if (pinnedPtIdx != null && xData[pinnedPtIdx] != null && yData[pinnedPtIdx] != null) {\n buildHistBins(histData);\n if (histData.min != null && histData.max != null) {\n const span = histData.max - histData.min || 1;\n initHoverBinI = Math.min(\n histData.BINS - 1,\n Math.floor(((yData[pinnedPtIdx]! - histData.min) / span) * histData.BINS),\n );\n plot.hoveredHistY = yData[pinnedPtIdx];\n }\n }\n\n drawHistogram(histCanvas, histData, 130, initHoverBinI);\n attachHistTooltip(histCanvas, histData);\n if (container) {\n if (insertBeforeEl) container.insertBefore(row, insertBeforeEl);\n else container.appendChild(row);\n }\n }\n\n // \u2500\u2500 Selection overlay (fill + lines + handles) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateSelOverlay() {\n updateAnchorLines();\n // Redraw canvas markers (bold selection line + span pill)\n plots.forEach(({ uplot: u }) => u.batch(() => u.redraw(false)));\n }\n\n function updateAnchorLines() {\n plots.forEach(({ uplot: u, def }) => {\n const s = (u as any)._strasse;\n if (!s) return;\n const {\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n } = s;\n if (selAnchorVal == null || selEndVal == null) {\n [\n selFill,\n anchorLine,\n anchorLabel,\n anchorHandle,\n anchorMarker,\n endLine,\n endLabel,\n endHandle,\n endMarker,\n ].forEach((el: HTMLElement) => {\n el.style.display = 'none';\n });\n return;\n }\n const aX = u.valToPos(selAnchorVal, 'x');\n const eX = u.valToPos(selEndVal, 'x');\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const overW = bb.width / dpr;\n const overH = bb.height / dpr;\n const plotBottom = (bb.top + bb.height) / dpr;\n\n const isAnchorVisible = aX >= 0 && aX <= overW;\n const isEndVisible = eX >= 0 && eX <= overW;\n\n // Fill: clamp left/right to visible area\n const fillL = Math.max(0, aX);\n const fillR = Math.min(overW, eX);\n if (fillR > fillL) {\n selFill.style.left = `${fillL}px`;\n selFill.style.width = `${fillR - fillL}px`;\n selFill.style.top = '0';\n selFill.style.height = `${overH}px`;\n selFill.style.backgroundColor = hexToRgba(def.color, 0.07);\n selFill.style.display = '';\n } else {\n selFill.style.display = 'none';\n }\n\n // Anchor line\n if (isAnchorVisible) {\n anchorLine.style.left = `${aX}px`;\n anchorLine.style.height = `${overH}px`;\n anchorLine.style.borderLeftColor = def.color;\n anchorLine.style.display = '';\n // Anchor label\n const aText = fmtXVal(selAnchorVal);\n anchorLabel.textContent = aText;\n const aLabelW = aText.length * 7 + 10;\n anchorLabel.style.left = aX + aLabelW + 4 < overW ? `${aX + 3}px` : `${aX - aLabelW - 3}px`;\n anchorLabel.style.display = '';\n // Anchor handle\n anchorHandle.style.left = `${aX}px`;\n anchorHandle.style.backgroundColor = def.color;\n anchorHandle.style.display = '';\n // Anchor marker: centered on the bold line\n anchorMarker.style.left = `${aX}px`;\n anchorMarker.style.top = `${plotBottom}px`;\n const aIcon = anchorMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (aIcon) aIcon.style.color = def.color;\n anchorMarker.style.display = '';\n } else {\n [anchorLine, anchorLabel, anchorHandle, anchorMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n\n // End line\n if (isEndVisible) {\n endLine.style.left = `${eX}px`;\n endLine.style.height = `${overH}px`;\n endLine.style.borderLeftColor = def.color;\n endLine.style.display = '';\n // End label\n const eText = fmtXVal(selEndVal);\n endLabel.textContent = eText;\n const eLabelW = eText.length * 7 + 10;\n endLabel.style.left = eX - eLabelW - 3 > 0 ? `${eX - eLabelW - 3}px` : `${eX + 3}px`;\n endLabel.style.display = '';\n // End handle\n endHandle.style.left = `${eX}px`;\n endHandle.style.backgroundColor = def.color;\n endHandle.style.display = '';\n // End marker: centered on the bold line\n endMarker.style.left = `${eX}px`;\n endMarker.style.top = `${plotBottom}px`;\n const eIcon = endMarker.querySelector('.material-symbols-rounded') as HTMLElement;\n if (eIcon) eIcon.style.color = def.color;\n endMarker.style.display = '';\n } else {\n [endLine, endLabel, endHandle, endMarker].forEach(\n (el: HTMLElement) => (el.style.display = 'none'),\n );\n }\n });\n }\n\n function fmtXVal(v: number) {\n return xAxis === 'distance' ? `${v.toFixed(2)} km` : fmtSecs(v);\n }\n\n // \u2500\u2500 Handle drag logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function attachHandleDrag(\n handleEl: HTMLElement,\n uplot: uPlot,\n xData: (number | null)[],\n isAnchor: boolean,\n ) {\n // pointer-events enabled on the handle itself\n handleEl.style.pointerEvents = 'auto';\n\n handleEl.addEventListener('mousedown', (e) => {\n e.stopPropagation();\n e.preventDefault();\n const startX = e.clientX;\n const startVal = isAnchor ? selAnchorVal : selEndVal;\n const overW = uplot.over.offsetWidth;\n // px-per-data-unit at current zoom\n const xMin = uplot.scales.x!.min!,\n xMax = uplot.scales.x!.max!;\n const pxPerUnit = overW / (xMax - xMin);\n const xFull = [xData[0]!, xData[xData.length - 1]!];\n\n document.body.style.cursor = 'ew-resize';\n isDragging = true;\n\n function onMove(me: MouseEvent) {\n const dx = me.clientX - startX;\n let newVal = (startVal || 0) + dx / pxPerUnit;\n newVal = Math.max(xFull[0], Math.min(xFull[1], newVal));\n\n if (isAnchor) selAnchorVal = Math.min(newVal, (selEndVal || xFull[1]) - 0.001);\n else selEndVal = Math.max(newVal, (selAnchorVal || xFull[0]) + 0.001);\n\n // When dragging handles, we typically want to stay zoomed to the selection?\n // Actually, let's keep the zoom as is, and just update the selection overlay and stats.\n plots.forEach((p) =>\n (p.uplot as any)._strasse?.updateHeaderStats(\n p.uplot.scales.x!.min!,\n p.uplot.scales.x!.max!,\n ),\n );\n updateSelOverlay();\n redrawHistograms();\n if (onRangeChangeCb) onRangeChangeCb(selAnchorVal, selEndVal, xAxis);\n }\n\n function onUp() {\n document.body.style.cursor = '';\n isDragging = false;\n document.removeEventListener('mousemove', onMove);\n document.removeEventListener('mouseup', onUp);\n }\n\n document.addEventListener('mousemove', onMove);\n document.addEventListener('mouseup', onUp);\n });\n }\n\n // \u2500\u2500 Histogram logic \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function buildHistBins(histData: HistData) {\n const { yData, xData, BINS } = histData;\n\n // Cache to avoid re-binning every frame during hover\n if (histData._lastYData === yData && histData.bins) return;\n histData._lastYData = yData;\n\n let min = histData.min;\n let max = histData.max;\n if (min == null || max == null) {\n let lo = Infinity,\n hi = -Infinity,\n cnt = 0;\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v < lo) lo = v;\n if (v > hi) hi = v;\n cnt++;\n }\n if (!cnt) return;\n min = lo;\n max = hi;\n histData.min = min;\n histData.max = max;\n }\n\n const bins = new Array(BINS).fill(0);\n const binAccum = new Array(BINS).fill(0); // accumulated x-weight per bin (time in s or dist in km)\n\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n bins[bi]++;\n\n // weight by x-delta\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n binAccum[bi] += (next - prev) / 2;\n }\n histData.bins = bins;\n histData.binAccum = binAccum;\n }\n\n function redrawHistograms() {\n plots.forEach(({ histCanvas, histData, uplot: u }) => {\n drawHistogram(histCanvas, histData, u.height);\n });\n }\n\n function drawHistogram(\n canvas: HTMLCanvasElement,\n histData: HistData,\n chartH: number,\n hoverBinI: number | null = null,\n ) {\n const { def, BINS } = histData;\n buildHistBins(histData);\n const { bins, min, max } = histData;\n if (!bins || min == null || max == null) return;\n\n const hasSel = selAnchorVal != null && selEndVal != null;\n\n // Compute selection bins if a range is active and changed\n if (\n hasSel &&\n (histData._lastSelRange?.[0] !== selAnchorVal || histData._lastSelRange?.[1] !== selEndVal)\n ) {\n histData._lastSelRange = [selAnchorVal!, selEndVal!];\n const selBins = new Array(BINS).fill(0);\n const selBinAccum = new Array(BINS).fill(0);\n const { yData, xData } = histData;\n const span = max - min || 1;\n const metricKey =\n histData.plot?.metricKey ?? Object.keys(METRICS).find((k) => METRICS[k] === histData.def);\n const incZero =\n !metricKey ||\n metricsIncludingZero.has(metricKey) ||\n (metricKey !== 'power' && metricKey !== 'cadence' && metricKey !== 'speed');\n\n for (let i = 0; i < yData.length; i++) {\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n const x = xData[i];\n if (x == null || x < selAnchorVal! || x > selEndVal!) continue;\n const bi = Math.min(BINS - 1, Math.floor(((v - min) / span) * BINS));\n selBins[bi]++;\n const prev = i > 0 && xData[i - 1] != null ? xData[i - 1]! : xData[i]!;\n const next = i < xData.length - 1 && xData[i + 1] != null ? xData[i + 1]! : xData[i]!;\n selBinAccum[bi] += (next - prev) / 2;\n }\n histData.selBins = selBins;\n histData.selBinAccum = selBinAccum;\n } else if (!hasSel) {\n histData.selBins = null;\n histData.selBinAccum = null;\n histData._lastSelRange = null;\n }\n const selBins = histData.selBins;\n\n const dpr = window.devicePixelRatio || 1;\n const W = HIST_W;\n const H = chartH;\n\n // Performance: only set dimensions if they changed (resets canvas)\n if (canvas.width !== W * dpr || canvas.height !== H * dpr) {\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n canvas.style.width = `${W}px`;\n canvas.style.height = `${H}px`;\n }\n\n const ctx = canvas.getContext('2d')!;\n ctx.resetTransform();\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const peak = Math.max(...bins);\n\n // Measure label width so bars start right after them\n const fmt = (v: number) => def.fmtAxis(v);\n const fontStr = '9px system-ui, sans-serif';\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const labelW = Math.ceil(\n Math.max(\n ctx.measureText(`${fmt(max)} ${def.unit}`).width,\n ctx.measureText(`${fmt(min)} ${def.unit}`).width,\n ),\n );\n\n // Vertical alignment with main graph:\n // uPlot padding: [4, 0, 0, 0]\n // Axis size: 30\n const pad = { t: 4, r: 0, b: 30, l: labelW + 6 };\n histData.padL = pad.l;\n const plotW = W - pad.l - pad.r;\n const plotH = H - pad.t - pad.b;\n\n // bin 0 = lowest values \u2192 drawn at bottom; bin BINS-1 = highest \u2192 drawn at top\n const binY = (i: number) => pad.t + (BINS - 1 - i) * (plotH / BINS);\n const binH = plotH / BINS - 1;\n\n // Full distribution (dimmed when selection active)\n const baseAlpha = hasSel ? 0.15 : 0.6;\n ctx.fillStyle = hexToRgba(def.color, baseAlpha);\n for (let i = 0; i < BINS; i++) {\n if (!bins[i]) continue;\n const bw = (bins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n\n // Selection overlay (bright)\n if (selBins) {\n ctx.fillStyle = hexToRgba(def.color, 0.85);\n for (let i = 0; i < BINS; i++) {\n if (!selBins[i]) continue;\n const bw = (selBins[i] / peak) * plotW;\n ctx.fillRect(pad.l, binY(i), bw, binH);\n }\n ctx.fillStyle = def.color;\n ctx.fillRect(pad.l, pad.t, 2, plotH);\n }\n\n // CDF overlay \u2014 smooth curve from bottom (0%) to top (100%)\n const total = bins.reduce((s, v) => s + v, 0);\n if (total > 0) {\n // Build CDF points: one per bin boundary, bottom\u2192top\n const pts2 = [{ x: pad.l, y: pad.t + plotH }];\n let cumSum = 0;\n for (let i = 0; i < BINS; i++) {\n cumSum += bins[i];\n pts2.push({ x: pad.l + (cumSum / total) * plotW, y: binY(i) });\n }\n\n ctx.beginPath();\n // CDF line is now solid\n ctx.setLineDash([]);\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 0.75 * dpr;\n ctx.lineJoin = 'round';\n ctx.moveTo(pts2[0].x, pts2[0].y);\n for (let i = 1; i < pts2.length - 1; i++) {\n const mx = (pts2[i].x + pts2[i + 1].x) / 2;\n const my = (pts2[i].y + pts2[i + 1].y) / 2;\n ctx.quadraticCurveTo(pts2[i].x, pts2[i].y, mx, my);\n }\n ctx.lineTo(pts2[pts2.length - 1].x, pts2[pts2.length - 1].y);\n ctx.stroke();\n\n // \u2500\u2500 Hover highlight on CDF \u2500\u2500\n if (hoverBinI != null && pts2[hoverBinI + 1]) {\n const cp = pts2[hoverBinI + 1];\n // Vertical line down\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(def.color, 0.6);\n ctx.moveTo(cp.x, cp.y);\n ctx.lineTo(cp.x, pad.t + plotH);\n ctx.stroke();\n ctx.setLineDash([]);\n\n // Dot: tiny precision point\n ctx.beginPath();\n ctx.arc(cp.x, cp.y, 1.2 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = def.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n }\n\n // Axis labels: max at top, min at bottom\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n const font9 = '9px system-ui, sans-serif';\n if (ctx.font !== font9) ctx.font = font9;\n ctx.textAlign = 'right';\n\n // Draw Max\n ctx.textBaseline = 'top';\n ctx.fillText(`${fmt(max)} ${def.unit}`, pad.l - 4, pad.t);\n\n // Draw Min\n ctx.textBaseline = 'bottom';\n ctx.fillText(`${fmt(min)} ${def.unit}`, pad.l - 4, H - pad.b);\n\n // Draw Avg (only if it doesn't overlap min/max)\n const stats =\n !hasSel && histData.fullStatsAll !== undefined\n ? histData.fullStatsAll\n : rangeStats(\n histData.xData,\n histData.yData,\n selAnchorVal || -Infinity,\n selEndVal || Infinity,\n );\n if (stats) {\n const avgY =\n pad.t +\n (BINS - 1 - Math.min(BINS - 1, Math.floor(((stats.avg - min) / (max - min || 1)) * BINS))) *\n (plotH / BINS);\n const minLabelY = H - pad.b;\n const maxLabelY = pad.t;\n const labelHeight = 10; // Approx 10px height for 9px font\n\n if (avgY > maxLabelY + labelHeight + 2 && avgY < minLabelY - labelHeight - 2) {\n ctx.textBaseline = 'middle';\n if (ctx.fillStyle !== '#aaa') ctx.fillStyle = '#aaa';\n ctx.fillText(`${fmt(stats.avg)} ${def.unit}`, pad.l - 4, avgY);\n // Draw small indicator tick\n ctx.beginPath();\n ctx.moveTo(pad.l - 3, avgY);\n ctx.lineTo(pad.l, avgY);\n if (ctx.strokeStyle !== '#aaa') ctx.strokeStyle = '#aaa';\n ctx.lineWidth = 1;\n ctx.stroke();\n }\n }\n\n // \u2500\u2500 Higher/Lower percentages below histogram \u2500\u2500\n if (hoverBinI != null && total > 0) {\n let countLower = 0;\n for (let i = 0; i < hoverBinI; i++) countLower += bins[i];\n let countHigher = 0;\n for (let i = hoverBinI + 1; i < BINS; i++) countHigher += bins[i];\n\n const pLower = Math.round((countLower / total) * 100);\n const pHigher = Math.round((countHigher / total) * 100);\n\n ctx.save();\n ctx.textAlign = 'left';\n ctx.textBaseline = 'top';\n const font8 = '8px system-ui, sans-serif';\n if (ctx.font !== font8) ctx.font = font8;\n\n const textY = H - pad.b + 6;\n\n // Draw \"Lower\" stat\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('LOWER', pad.l, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n const fontB10 = 'bold 10px system-ui, sans-serif';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pLower}%`, pad.l, textY + 10);\n\n // Draw \"Higher\" stat\n const midX = pad.l + plotW / 2;\n if (ctx.font !== font8) ctx.font = font8;\n if (ctx.fillStyle !== '#888896') ctx.fillStyle = '#888896';\n ctx.fillText('HIGHER', midX, textY);\n if (ctx.fillStyle !== '#ccc') ctx.fillStyle = '#ccc';\n if (ctx.font !== fontB10) ctx.font = fontB10;\n ctx.fillText(`${pHigher}%`, midX, textY + 10);\n\n ctx.restore();\n }\n }\n\n function attachHistTooltip(canvas: HTMLCanvasElement, histData: HistData) {\n const { plot } = histData;\n\n canvas.addEventListener('click', (e) => {\n const binI = getBinAt(canvas, histData, e);\n if (binI != null && plot) {\n const { min, max, BINS } = histData;\n const span = max! - min! || 1;\n plot.pinnedHistY = min! + (binI + 0.5) * (span / BINS!);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n }\n });\n\n canvas.addEventListener('mousemove', (e) => {\n lastHistMouseEvent = e;\n updateHistTooltip(e, canvas, histData);\n });\n\n canvas.addEventListener('mouseenter', () => {\n hoveredHistCanvas = canvas;\n hoveredHistData = histData;\n });\n\n canvas.addEventListener('mouseleave', () => {\n if (hoveredHistCanvas === canvas) {\n hoveredHistCanvas = null;\n hoveredHistData = null;\n }\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n const lineEl = document.getElementById('hist-line');\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n });\n }\n\n function getBinAt(canvas: HTMLCanvasElement, histData: HistData, e: MouseEvent) {\n const { bins, BINS } = histData;\n if (!bins) return null;\n const rect = canvas.getBoundingClientRect();\n const relY = e.clientY - rect.top;\n // Use exact padding from drawHistogram: t: 4, b: 30\n const pad = { t: 4, b: 30 };\n const plotH = rect.height - pad.t - pad.b;\n const rawI = Math.floor(((relY - pad.t) / plotH) * BINS!);\n const binI = BINS! - 1 - rawI;\n if (rawI < 0 || rawI >= BINS!) return null;\n return binI;\n }\n\n function updateHistTooltip(e: MouseEvent, canvas: HTMLCanvasElement, histData: HistData) {\n if (!histTooltipEl) return;\n const { bins, binAccum, min, max, BINS, def, plot } = histData;\n if (!bins || !binAccum || min == null || max == null) return;\n\n const lineEl = document.getElementById('hist-line');\n const binI = getBinAt(canvas, histData, e);\n\n if (binI == null || !bins[binI]) {\n histTooltipEl.style.display = 'none';\n if (lineEl) lineEl.style.display = 'none';\n if (plot) {\n plot.hoveredHistY = null;\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1));\n }\n return;\n }\n\n if (plot) {\n const span = max - min || 1;\n plot.hoveredHistY = min + (binI + 0.5) * (span / BINS!);\n drawHistogram(canvas, histData, canvas.height / (window.devicePixelRatio || 1), binI);\n }\n\n const count = bins[binI];\n const total = bins.reduce((s, v) => s + v, 0);\n const pct = (count / total) * 100;\n\n const span = max - min || 1;\n const low = min + binI * (span / BINS!);\n const high = min + (binI + 1) * (span / BINS!);\n const label = `${def.fmt(low, true)} \u2013 ${def.fmt(high, true)} ${def.unit}`;\n\n // Zone info\n let zoneHtml = '';\n const mid = (low + high) / 2;\n const metricKey = Object.keys(METRICS).find((k) => METRICS[k] === def);\n let zones: any[] = [];\n if (metricKey === 'power') zones = Zones.getPowerZones();\n else if (metricKey === 'hr') zones = Zones.getHRZones();\n\n if (zones.length > 0) {\n const zIdx = zones.findIndex((z) => mid >= z.min && mid < z.max);\n const z =\n zIdx !== -1\n ? zones[zIdx]\n : mid >= zones[zones.length - 1].min\n ? zones[zones.length - 1]\n : null;\n if (z) {\n const finalZIdx = zIdx !== -1 ? zIdx : zones.length - 1;\n zoneHtml = `\n
\n Z${finalZIdx + 1}\n \u00B7\n ${z.name}\n
\n `;\n }\n }\n\n const totalAccum =\n xAxis === 'distance' ? `${binAccum[binI].toFixed(2)} km` : fmtSecs(binAccum[binI]);\n const totalPct = (binAccum[binI] / binAccum.reduce((s, v) => s + v, 0)) * 100;\n\n let html = `\n
${label}
\n ${zoneHtml}\n `;\n\n if (totalAccum) {\n html += `
\n ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${totalAccum}\n ${totalPct.toFixed(1)}%\n
`;\n }\n\n // Selection context\n if (histData.selBins && histData.selBinAccum) {\n const stotalAccum =\n xAxis === 'distance'\n ? `${histData.selBinAccum[binI].toFixed(2)} km`\n : fmtSecs(histData.selBinAccum[binI]);\n const stotalPct =\n (histData.selBinAccum[binI] / histData.selBinAccum.reduce((s, v) => s + v, 0)) * 100;\n\n html += `\n
\n Sel ${xAxis === 'distance' ? 'Dist' : 'Time'}\n ${stotalAccum}\n ${stotalPct.toFixed(1)}%\n
\n `;\n }\n\n histTooltipEl.innerHTML = html;\n\n // Position tooltip: fixed X left of canvas, Y centered on bin\n histTooltipEl.style.display = 'block';\n const ttH = histTooltipEl.offsetHeight;\n const ttW = histTooltipEl.offsetWidth;\n const rect = canvas.getBoundingClientRect();\n const plotH = rect.height - 4 - 30; // pad.t + pad.b\n const binCenterY = rect.top + 4 + (BINS! - 1 - binI + 0.5) * (plotH / BINS!);\n\n histTooltipEl.style.left = `${rect.left - ttW - 12}px`;\n histTooltipEl.style.top = `${binCenterY - ttH / 2}px`;\n\n // Horizontal line sync\n if (lineEl) {\n lineEl.style.display = 'block';\n lineEl.style.top = `${binCenterY}px`;\n lineEl.style.left = '0px';\n lineEl.style.width = `${rect.left}px`;\n }\n }\n\n // \u2500\u2500 Helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function destroyPlots(keepState = false) {\n if (histTooltipEl) histTooltipEl.style.display = 'none';\n plots.forEach(({ uplot: u, row }) => {\n syncKey!.unsub(u);\n u.destroy();\n row.remove();\n });\n plots = [];\n renderedTrack = null;\n if (!keepState) {\n selAnchorVal = null;\n selEndVal = null;\n }\n isDragging = false;\n }\n\n function rangeStats(\n xData: (number | null)[],\n yData: (number | null)[],\n xMin: number,\n xMax: number,\n incZero = true,\n ) {\n let min = Infinity,\n max = -Infinity,\n sum = 0,\n n = 0;\n for (let i = 0; i < xData.length; i++) {\n if (xData[i] == null || xData[i]! < xMin || xData[i]! > xMax) continue;\n const v = yData[i];\n if (v == null || !isFinite(v)) continue;\n if (v === 0 && !incZero) continue;\n\n if (v < min) min = v;\n if (v > max) max = v;\n sum += v;\n n++;\n }\n return n ? { min, max, avg: sum / n } : null;\n }\n\n function elevationRangeStats(pts: TrackPoint[], xMin: number, xMax: number) {\n let gain = 0,\n loss = 0;\n let prevEle: number | null = null;\n const isDist = xAxis === 'distance';\n const t0 = pts[0].time || 0;\n\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const x = isDist ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n if (x < xMin || x > xMax) continue;\n\n if (p.ele != null) {\n if (prevEle != null) {\n const diff = p.ele - prevEle;\n if (diff > 0) gain += diff;\n else if (diff < 0) loss += Math.abs(diff);\n }\n prevEle = p.ele;\n }\n }\n return { gain, loss };\n }\n\n // \u2500\u2500 Plot Rendering Helpers (Canvas) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function updateTooltip(\n u: WegPlot,\n el: HTMLElement,\n idx: number,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n def: MetricDefinition,\n metricKey: string,\n ) {\n if (idx == null || yData[idx] == null) {\n el.style.display = 'none';\n return;\n }\n\n const cx = u.valToPos(xData[idx]!, 'x', false);\n const cy = u.valToPos(yData[idx]!, 'y', false);\n\n let gColor = '#888896';\n let g = 0;\n if (idx > 0 && pts[idx] && pts[idx - 1]) {\n const p0 = pts[idx - 1],\n p1 = pts[idx];\n const d = (p1.dist || 0) - (p0.dist || 0);\n if (d > 0.1 && p1.ele != null && p0.ele != null) {\n g = ((p1.ele - p0.ele) / d) * 100;\n gColor = gradientColor(g);\n }\n }\n\n let content =\n metricKey !== 'elevation'\n ? `${def.fmt(yData[idx]!, false)} ${def.unit}`\n : `${def.fmt(yData[idx]!, false)} ${def.unit} \u2220 ${Math.abs(g).toFixed(1)}%`;\n\n // Special handling for gears: show tooth count if available\n if (metricKey === 'gearRear' && pts[idx].gearRearTooth != null) {\n content = `${pts[idx].gearRearTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gearFront' && pts[idx].gearFrontTooth != null) {\n content = `${pts[idx].gearFrontTooth}T (pos ${yData[idx]})`;\n } else if (metricKey === 'gears') {\n const p = pts[idx];\n const front =\n p.gearFrontTooth != null\n ? `${p.gearFrontTooth}T`\n : p.gearFront != null\n ? `pos ${p.gearFront}`\n : '';\n const rear =\n p.gearRearTooth != null\n ? `${p.gearRearTooth}T`\n : p.gearRear != null\n ? `pos ${p.gearRear}`\n : '';\n\n if (front || rear)\n content += ` (${front} / ${rear})`;\n }\n\n if (el.innerHTML !== content) el.innerHTML = content;\n\n const color44 = `${def.color}44`;\n if (el.style.color !== def.color) el.style.color = def.color;\n if (el.style.borderColor !== color44) el.style.borderColor = color44;\n\n const left = `${cx}px`;\n const top = `${cy}px`;\n const transform = 'translate(6px, -50%)';\n if (el.style.left !== left) el.style.left = left;\n if (el.style.top !== top) el.style.top = top;\n if (el.style.transform !== transform) el.style.transform = transform;\n if (el.style.display !== '') el.style.display = '';\n }\n\n const gradientColorRgbaCache = new Map();\n function gradientColorRgba(g: number | null): string {\n let c = gradientColorRgbaCache.get(g);\n if (!c) {\n c = hexToRgba(gradientColor(g), 0.8);\n gradientColorRgbaCache.set(g, c);\n }\n return c;\n }\n\n function drawElevationGradient(\n u: uPlot,\n xData: number[],\n yData: number[],\n gradData: (number | null)[] | null,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = gradData && gradData[i] != null ? Math.round(gradData[i]! / 2) * 2 : null;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawGradientChart(u: uPlot, xData: number[], yData: number[]) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yBase = bb.top + bb.height;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(1, idxs[0]) : 1;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.lineWidth = 1.5 * dpr;\n\n const byColor = new Map();\n\n let prevIdx = iStart - 1;\n for (let i = iStart; i <= iEnd; i += step) {\n const xv1 = xData[i];\n const xv0 = xData[prevIdx];\n prevIdx = i;\n if (xv1 == null || yData[i] == null || xv0 == null || yData[i - step] == null) continue;\n if (xv1 < xMin || xv0 > xMax) continue;\n\n const x0 = bb.left + (xv0 - xMin) * xScale;\n const y0 = yBase - (yData[i - step]! - yMin) * yScale;\n const x1 = bb.left + (xv1 - xMin) * xScale;\n const y1 = yBase - (yData[i]! - yMin) * yScale;\n\n const g = Math.round(yData[i]! / 2) * 2;\n const color = gradientColorRgba(g);\n let segs = byColor.get(color);\n if (!segs) {\n segs = [];\n byColor.set(color, segs);\n }\n segs.push(x0, y0, x1, y1);\n }\n\n for (const [color, segs] of byColor) {\n ctx.beginPath();\n ctx.strokeStyle = color;\n for (let j = 0; j < segs.length; j += 4) {\n ctx.moveTo(segs[j], segs[j + 1]);\n ctx.lineTo(segs[j + 2], segs[j + 3]);\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawHoverLine(u: uPlot, yData: number[], color: string, pts: TrackPoint[]) {\n const idx = u.cursor.idx;\n if (idx == null || yData[idx] == null || u.cursor.left! < 0) return;\n\n const t0 = pts[0].time || 0;\n const xVal = xAxis === 'distance' ? (pts[idx].dist || 0) / 1000 : (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yData[idx], 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Line from top to point + horizontal from left\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, cy);\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Dot at point\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n\n function drawVerticalLineOnly(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const xVal =\n xAxis === 'distance'\n ? (pts[idx].dist || 0) / 1000\n : (pts[idx].time! - (pts[0].time || 0)) / 1000;\n const cx = u.valToPos(xVal, 'x', true);\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n // Dotted line range should match where labels are (flush top to bottom axis)\n ctx.moveTo(cx, bb.top + 16 * dpr);\n ctx.lineTo(cx, bb.top + bb.height + 10 * dpr);\n ctx.stroke();\n ctx.restore();\n }\n\n function drawXAxisLabels(\n u: uPlot,\n pts: TrackPoint[],\n idx: number,\n color: string,\n skipLine = false,\n opacity: number = 1.0,\n ) {\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const ctx = u.ctx;\n const t0 = pts[0].time || 0;\n const distVal = (pts[idx].dist || 0) / 1000;\n const timeVal = (pts[idx].time! - t0) / 1000;\n const cx = u.valToPos(xAxis === 'distance' ? distVal : timeVal, 'x', true);\n\n // Bottom label: matches the current X axis unit\n const bottomLabel = xAxis === 'distance' ? `${distVal.toFixed(2)} km` : fmtSecs(timeVal);\n // Top label: shows the other unit (simplified)\n const topLabel = xAxis === 'distance' ? fmtSecs(timeVal) : `${distVal.toFixed(2)} km`;\n\n const drawPill = (text: string, x: number, y: number, isTop: boolean) => {\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(text).width;\n const bw = tw + 10 * dpr;\n const bh = 16 * dpr;\n const rx = x - bw / 2;\n const clampedRx = Math.max(bb.left, Math.min(bb.left + bb.width - bw, rx));\n const ry = y - bh / 2;\n\n ctx.save();\n ctx.globalAlpha = opacity;\n ctx.setLineDash([]); // Ensure pills are not dashed\n ctx.beginPath();\n if ((ctx as any).roundRect) (ctx as any).roundRect(clampedRx, ry, bw, bh, 3 * dpr);\n else ctx.rect(clampedRx, ry, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.92)';\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(text, clampedRx + bw / 2, ry + bh / 2 + 0.5 * dpr);\n ctx.restore();\n };\n\n if (!skipLine) drawVerticalLineOnly(u, pts, idx, color, opacity);\n\n const pillH = 16 * dpr;\n // Top label: flush to the top edge of the plot\n drawPill(topLabel, cx, bb.top + pillH / 2, true);\n\n // Bottom label: aligned with the horizontal axis labels (centered in the 30px axis area)\n drawPill(bottomLabel, cx, bb.top + bb.height + 15 * dpr, false);\n }\n\n function drawPinnedDot(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n def: MetricDefinition,\n pts: TrackPoint[],\n metricKey: string,\n ) {\n if (pinnedPtIdx == null) return;\n const xVal = xData[pinnedPtIdx];\n const yVal = yData[pinnedPtIdx];\n if (xVal == null || yVal == null) return;\n\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n ctx.save();\n // Vertical line\n ctx.beginPath();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1.5 * dpr;\n ctx.moveTo(cx, bb.top);\n ctx.lineTo(cx, bb.top + bb.height);\n ctx.stroke();\n\n // Horizontal dashed line\n ctx.beginPath();\n ctx.setLineDash([3 * dpr, 3 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.5);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cy);\n ctx.lineTo(cx, cy);\n ctx.stroke();\n\n // Large Dot\n ctx.beginPath();\n ctx.setLineDash([]); // Ensure solid outline\n ctx.arc(cx, cy, 5 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2.5 * dpr;\n ctx.stroke();\n ctx.restore();\n\n const s = (u as any)._strasse;\n if (s && s.pinYVal) {\n updateTooltip(\n u,\n s.pinYVal,\n pinnedPtIdx,\n xData as number[],\n yData as (number | null)[],\n pts,\n def,\n metricKey,\n );\n }\n }\n\n function drawYAxisHighlight(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n yVal: number,\n color: string,\n def: MetricDefinition,\n ) {\n const bb = u.bbox;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const cy = u.valToPos(yVal, 'y', true);\n\n // Clamp cy to bbox\n const cyClamp = Math.max(bb.top, Math.min(bb.top + bb.height, cy));\n\n ctx.save();\n // Horizontal line\n ctx.beginPath();\n ctx.setLineDash([4 * dpr, 4 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(bb.left, cyClamp);\n ctx.lineTo(bb.left + bb.width, cyClamp);\n ctx.stroke();\n\n // Fill area above/below\n drawAreaFillAbove(u, xData, yData, cyClamp, color);\n\n // Pill label on Y-axis\n const label = def.fmt(yVal, true);\n const fontStr = `bold ${10 * dpr}px system-ui, sans-serif`;\n if (ctx.font !== fontStr) ctx.font = fontStr;\n const tw = ctx.measureText(label).width;\n const bw = tw + 8 * dpr;\n const bh = 16 * dpr;\n const bx = bb.left - bw - 2 * dpr;\n const by = cyClamp - bh / 2;\n\n ctx.beginPath();\n ctx.setLineDash([]);\n if ((ctx as any).roundRect) (ctx as any).roundRect(bx, by, bw, bh, 3 * dpr);\n else ctx.rect(bx, by, bw, bh);\n ctx.fillStyle = 'rgba(14,14,16,0.95)';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = '#fff';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(label, bx + bw / 2, by + bh / 2 + 0.5 * dpr);\n ctx.restore();\n }\n\n function drawAreaFillAbove(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n cyClamp: number,\n color: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = u.series[0]?.idxs;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step = Math.max(1, Math.floor((iEnd - iStart) / 250));\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.beginPath();\n\n let inSegment = false;\n let hasAnySegment = false;\n let lastPx = 0;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null || xv < xMin || xv > xMax) {\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n lastPx = px;\n\n if (py < cyClamp) {\n if (!inSegment) {\n ctx.moveTo(px, cyClamp);\n inSegment = true;\n hasAnySegment = true;\n }\n ctx.lineTo(px, py);\n } else if (inSegment) {\n ctx.lineTo(px, cyClamp);\n ctx.closePath();\n inSegment = false;\n }\n }\n\n if (inSegment) {\n ctx.lineTo(lastPx, cyClamp);\n ctx.closePath();\n }\n\n if (hasAnySegment) {\n ctx.fill();\n }\n\n ctx.restore();\n }\n\n // \u2500\u2500 Utils \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n function lerpHex(a: string, b: string, t: number) {\n const ah = parseInt(a.slice(1), 16),\n bh = parseInt(b.slice(1), 16);\n const ar = ah >> 16,\n ag = (ah >> 8) & 0xff,\n ab = ah & 0xff;\n const br = bh >> 16,\n bg = (bh >> 8) & 0xff,\n bb = bh & 0xff;\n const rr = ar + (br - ar) * t,\n rg = ag + (bg - ag) * t,\n rb = ab + (bb - ab) * t;\n return `#${((1 << 24) + (Math.round(rr) << 16) + (Math.round(rg) << 8) + Math.round(rb))\n .toString(16)\n .slice(1)}`;\n }\n\n function gradientColor(g: number | null) {\n if (g == null) return '#888896';\n const absG = Math.abs(g);\n const t = Math.min(1, absG / 8);\n if (g > 0) return lerpHex('#A8C8A0', '#d73027', t); // Green to Red\n return lerpHex('#A8C8A0', '#4575b4', t); // Green to Blue\n }\n\n function speedColor(s: number | null) {\n if (s == null) return '#888896';\n const kmh = s * 3.6;\n\n if (kmh <= 5) return '#4575b4'; // Solid Blue for very slow\n if (kmh >= 60) return '#d73027'; // Solid Red for very fast\n\n // High resolution between 5 and 45 (10km/h per segment)\n if (kmh <= 45) {\n const t = (kmh - 5) / 40; // 0 to 1\n if (t <= 0.25) return lerpHex('#4575b4', '#91bfdb', t / 0.25); // 5-15: Blue -> LBlue\n if (t <= 0.5) return lerpHex('#91bfdb', '#abdda4', (t - 0.25) / 0.25); // 15-25: LBlue -> Green\n if (t <= 0.75) return lerpHex('#abdda4', '#fee08b', (t - 0.5) / 0.25); // 25-35: Green -> Yellow\n return lerpHex('#fee08b', '#fc8d59', (t - 0.75) / 0.25); // 35-45: Yellow -> Orange\n } else {\n // 45-60: Orange -> Red\n const t = (kmh - 45) / 15;\n return lerpHex('#fc8d59', '#d73027', t);\n }\n }\n\n function smoothGradient(pts: TrackPoint[], windowMetres: number) {\n const grads: (number | null)[] = new Array(pts.length).fill(null);\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n let j0 = i,\n j1 = i;\n while (j0 > 0 && (p.dist || 0) - (pts[j0].dist || 0) < windowMetres / 2) j0--;\n while (j1 < pts.length - 1 && (pts[j1].dist || 0) - (p.dist || 0) < windowMetres / 2) j1++;\n const d = (pts[j1].dist || 0) - (pts[j0].dist || 0);\n if (d > 1 && pts[j1].ele != null && pts[j0].ele != null)\n grads[i] = ((pts[j1].ele! - pts[j0].ele!) / d) * 100;\n }\n return grads;\n }\n\n function fillNulls(data: (number | null)[]) {\n const res = [...data];\n for (let i = 0; i < res.length; i++) {\n if (res[i] === null) {\n let left = i - 1;\n while (left >= 0 && res[left] === null) left--;\n let right = i + 1;\n while (right < res.length && res[right] === null) right++;\n if (left >= 0 && right < res.length)\n res[i] = res[left]! + ((res[right]! - res[left]!) * (i - left)) / (right - left);\n else if (left >= 0) res[i] = res[left];\n else if (right < res.length) res[i] = res[right];\n }\n }\n return res;\n }\n\n function updateStats(track: TrackData) {\n const s = track.stats;\n const fmt = (id: string, val: string) => {\n const el = document.querySelector(`#${id} .stat-value`);\n if (el) el.textContent = val;\n };\n fmt('stat-distance', s.totalDist != null ? `${(s.totalDist / 1000).toFixed(1)} km` : '\u2014');\n fmt('stat-duration', s.duration != null ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014');\n fmt('stat-elevation', s.elevGain != null ? `${Math.round(s.elevGain)} m` : '\u2014');\n\n // Recalculate averages from visible plot data to respect zero filtering\n const getAvg = (key: string) => {\n const p = plots.find((p) => p.metricKey === key);\n if (!p) {\n if (key === 'speed') return s.avgSpeed ?? null;\n if (key === 'power') return s.avgPower ?? null;\n if (key === 'cadence') return s.avgCadence ?? null;\n return null;\n }\n if (p.histData.fullStats !== undefined) {\n return p.histData.fullStats ? p.histData.fullStats.avg : null;\n }\n const incZero =\n metricsIncludingZero.has(key) || (key !== 'power' && key !== 'cadence' && key !== 'speed');\n const vals = p.yData.filter((v): v is number => v != null && (incZero || v !== 0));\n if (!vals.length) return null;\n return vals.reduce((a, b) => a + b, 0) / vals.length;\n };\n\n const avgSpeed = getAvg('speed');\n fmt('stat-avg-speed', avgSpeed != null ? `${(avgSpeed * 3.6).toFixed(1)} km/h` : '\u2014');\n\n const avgPower = getAvg('power');\n fmt('stat-avg-power', avgPower != null ? `${Math.round(avgPower)} W` : '\u2014');\n\n const avgCadence = getAvg('cadence');\n fmt('stat-avg-cad', avgCadence != null ? `${Math.round(avgCadence)} rpm` : '\u2014');\n\n fmt('stat-avg-hr', s.avgHR != null ? `${s.avgHR} bpm` : '\u2014');\n fmt('stat-avg-temp', s.avgTemp != null ? `${s.avgTemp.toFixed(1)} \u00B0C` : '\u2014');\n }\n\n const INTERVAL_CAP = 16384;\n const ivPwr = new Float64Array(INTERVAL_CAP);\n const ivHr = new Float64Array(INTERVAL_CAP);\n const ivSpd = new Float64Array(INTERVAL_CAP);\n const ivEle = new Float64Array(INTERVAL_CAP);\n const ivCad = new Float64Array(INTERVAL_CAP);\n const ivSmoothed = new Float64Array(INTERVAL_CAP);\n const ivKdeBins = new Float64Array(64);\n const intervalWindows = [\n 3, 5, 8, 10, 12, 15, 20, 25, 30, 40, 45, 60, 75, 90, 120, 150, 180, 240, 300, 360,\n ];\n\n function analyzeTelemetryIntervals(\n tracksList: TrackData[],\n selStartSec: number,\n selEndSec: number,\n ) {\n if (!tracksList.length) return 0;\n ivKdeBins.fill(0);\n let intervalScore = 0;\n\n for (let ti = 0; ti < tracksList.length; ti++) {\n const pts = tracksList[ti].points;\n const n = Math.min(pts.length, INTERVAL_CAP);\n if (n < 4) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n ivPwr[i] = p.power || 0;\n ivHr[i] = p.hr || 0;\n ivSpd[i] = p.speed || 0;\n ivEle[i] = p.ele || 0;\n ivCad[i] = p.cad || 0;\n }\n\n // Single-pass Savitzky-Golay 5-point quadratic smoothing and section interval analysis\n const sStart = Math.max(0, Math.min(n - 1, Math.floor(selStartSec)));\n const sEnd = Math.max(sStart + 1, Math.min(n, Math.floor(selEndSec)));\n const inv35 = 1 / 35;\n const invSigmaSq = 1 / 180;\n const omega = 0.012;\n\n for (let i = 2; i < n - 2; i++) {\n const sgPwr =\n (-3 * ivPwr[i - 2] +\n 12 * ivPwr[i - 1] +\n 17 * ivPwr[i] +\n 12 * ivPwr[i + 1] -\n 3 * ivPwr[i + 2]) *\n inv35;\n const sgHr =\n (-3 * ivHr[i - 2] +\n 12 * ivHr[i - 1] +\n 17 * ivHr[i] +\n 12 * ivHr[i + 1] -\n 3 * ivHr[i + 2]) *\n inv35;\n const sgSpd = (ivSpd[i - 1] + 2 * ivSpd[i] + ivSpd[i + 1]) * 0.25;\n const dP = sgPwr - ivPwr[i];\n const gauss = Math.exp(-dP * dP * invSigmaSq);\n const harmonic = Math.cos(i * omega + ivCad[i] * 0.02);\n ivSmoothed[i] = sgPwr * gauss + sgHr * 0.8 + sgSpd * (ivCad[i] * 0.1 + harmonic);\n }\n\n const sectionRanges: [number, number][] = [\n [0, Math.floor(n * 0.25)],\n [Math.floor(n * 0.25), Math.floor(n * 0.6)],\n [Math.floor(n * 0.6), n],\n [sStart, sEnd],\n ];\n\n for (let si = 0; si < sectionRanges.length; si++) {\n const [secStart, secEnd] = sectionRanges[si];\n const secLen = secEnd - secStart;\n if (secLen < 4) continue;\n\n for (let wi = 0; wi < intervalWindows.length; wi++) {\n const w = intervalWindows[wi];\n if (w >= secLen) continue;\n const invW = 1 / w;\n let winSum = 0;\n let winEle = 0;\n let maxInterval = 0;\n for (let i = secStart; i < secEnd; i++) {\n winSum += ivSmoothed[i];\n winEle += ivEle[i];\n if (i - secStart >= w) {\n winSum -= ivSmoothed[i - w];\n winEle -= ivEle[i - w];\n const avg = (winSum + winEle * 0.05) * invW;\n if (avg > maxInterval) maxInterval = avg;\n }\n }\n intervalScore += maxInterval * 1e-4;\n }\n\n // Section Kernel Density Estimation (KDE) binning\n for (let i = secStart; i < secEnd; i++) {\n const norm = Math.max(0, Math.min(63, ((ivSmoothed[i] * 0.12) | 0) & 63));\n ivKdeBins[norm] += 1 + (ivEle[i] - ivEle[secStart]) * 1e-3;\n if (norm > 0) ivKdeBins[norm - 1] += 0.5;\n if (norm < 63) ivKdeBins[norm + 1] += 0.5;\n }\n }\n }\n\n for (let b = 0; b < 64; b++) {\n intervalScore += ivKdeBins[b] * 1e-5;\n }\n if (container) {\n container.dataset.intervalScore = intervalScore.toFixed(2);\n }\n return intervalScore;\n }\n\n return {\n init,\n loadTrack,\n clear,\n resetState,\n toggleMetric,\n setXAxis,\n toggleStats,\n setSelectionStats,\n clearSelectionStats,\n restoreSelection,\n resetZoom,\n cancelSelection,\n analyzeTelemetryIntervals,\n setCursorAt: (idx: number, deferRender = false) => {\n pinnedPtIdx = idx;\n if (onPinChangeCb) onPinChangeCb(idx);\n if (deferRender) {\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n return;\n }\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb && currentTrack?.points?.[idx]) {\n onCursorMoveCb(currentTrack.points[idx]);\n }\n },\n setHoverAt: (idx: number | null) => {\n cursorSyncing = true;\n plots.forEach(({ uplot: u, yData, xData }) => {\n if (idx === null) {\n u.batch(() => {\n (u as any).setCursor({ left: -10, top: -10 }, true, false);\n });\n } else if (xData[idx] != null && yData[idx] != null) {\n u.batch(() => {\n (u as any).setCursor(\n {\n left: u.valToPos(xData[idx]!, 'x'),\n top: u.valToPos(yData[idx]!, 'y'),\n },\n true,\n false,\n );\n });\n }\n });\n cursorSyncing = false;\n if (onCursorMoveCb) {\n onCursorMoveCb(\n idx != null && currentTrack?.points?.[idx] ? currentTrack.points[idx] : null,\n );\n }\n },\n clearPinnedDot: () => {\n pinnedPtIdx = null;\n if (onPinChangeCb) onPinChangeCb(null);\n plots.forEach(({ uplot: u }) => u.redraw(false));\n },\n resize,\n METRICS,\n isDragging: () => isDragging,\n setMapColorChangeCb,\n toggleMapColor,\n getMapColorMetric: () => mapColorMetric,\n getActiveMetrics: () => activeMetrics,\n getAvailableMetrics: () => availableMetrics,\n setActiveMetrics,\n setSmooth,\n setZeroInclusion,\n updateMetricOrder: (keys: string[]) => {\n // Keys might only contain current active ones, or more.\n // We want to re-order activeMetrics to match the order in 'keys'\n const newActive = new Set();\n keys.forEach((k) => {\n if (activeMetrics.has(k)) newActive.add(k);\n });\n // Add any remaining ones that were active but not in the keys list (shouldn't happen with our DND)\n activeMetrics.forEach((k) => {\n if (!newActive.has(k)) newActive.add(k);\n });\n activeMetrics = newActive;\n if (currentTrack) render(true);\n },\n getXAxis: () => xAxis,\n };\n\n function drawMetricColorFill(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n pts: TrackPoint[],\n metricKey: string,\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const colors = _computePointColors(metricKey, yData);\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (let i = 1; i < xData.length; i++) {\n if (xData[i] == null || yData[i] == null || xData[i - 1] == null || yData[i - 1] == null)\n continue;\n const x0 = u.valToPos(xData[i - 1]!, 'x', true);\n const y0 = u.valToPos(yData[i - 1]!, 'y', true);\n const x1 = u.valToPos(xData[i]!, 'x', true);\n const y1 = u.valToPos(yData[i]!, 'y', true);\n\n const c = colors[i];\n\n // Top line segment\n ctx.beginPath();\n ctx.moveTo(x0, y0);\n if (isStepped) ctx.lineTo(x1, y0);\n\n ctx.lineTo(x1, y1);\n ctx.strokeStyle = c;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawBackgroundTracks(u: uPlot, metricKey: string, def: MetricDefinition) {\n if (!allTracks.length) return;\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.rect(bb.left, bb.top, bb.width, bb.height);\n ctx.clip();\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n\n for (const track of allTracks) {\n if (currentTrack && track.id === currentTrack.id) continue;\n\n const pts = track.points;\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const field = def.field;\n\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.04)'; // Extremely faint\n ctx.lineWidth = 1 * dpr;\n\n let first = true;\n for (let i = 0; i < pts.length; i++) {\n const p = pts[i];\n const v = p[field] as number;\n\n if (v == null) {\n first = true;\n continue;\n }\n\n if (i > 0) {\n const prev = pts[i - 1];\n const dt = p.time && prev.time ? p.time - prev.time : 0;\n if (dt > GAP_THRESHOLD) first = true;\n }\n\n const val = def.transform ? def.transform(v) : v;\n if (val == null) {\n first = true;\n continue;\n }\n const xVal = xAxis === 'distance' ? (p.dist || 0) / 1000 : (p.time! - t0) / 1000;\n\n // Skip if way outside horizontal range\n if (xVal < u.scales.x!.min! - 10 || xVal > u.scales.x!.max! + 10) {\n first = true;\n continue;\n }\n\n const px = u.valToPos(xVal, 'x', true);\n const py = u.valToPos(val, 'y', true);\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevP = pts[i - 1];\n const prevXVal =\n xAxis === 'distance' ? (prevP.dist || 0) / 1000 : (prevP.time! - t0) / 1000;\n ctx.lineTo(u.valToPos(prevXVal, 'x', true), py);\n }\n ctx.lineTo(px, py);\n }\n }\n ctx.stroke();\n }\n\n ctx.restore();\n }\n\n function drawTrackPath(\n u: uPlot,\n xData: (number | null)[],\n yData: (number | null)[],\n color: string,\n width: number,\n metricKey: string,\n range: [number, number] | null = null,\n pts: TrackPoint[] = [],\n ) {\n const ctx = u.ctx;\n const bb = u.bbox;\n const dpr = window.devicePixelRatio || 1;\n const GAP_THRESHOLD = 60000; // 1 minute in ms\n\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = hexToRgba(color, 0.8);\n ctx.lineWidth = width * dpr;\n\n const isStepped = metricKey === 'gearRear' || metricKey === 'gearFront';\n let first = true;\n let lastFrontGear: number | null = null;\n let fMin = 1;\n let fMax = 1;\n\n if (metricKey === 'gears' && pts.length > 0) {\n let lo = Infinity,\n hi = -Infinity;\n for (let i = 0; i < pts.length; i++) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null) {\n if (fg < lo) lo = fg;\n if (fg > hi) hi = fg;\n }\n }\n if (lo <= hi) {\n fMin = lo;\n fMax = hi;\n }\n }\n\n const rMin = range ? range[0] : (u.scales.x?.min ?? -Infinity);\n const rMax = range ? range[1] : (u.scales.x?.max ?? Infinity);\n const xMin = u.scales.x?.min ?? -Infinity;\n const xMax = u.scales.x?.max ?? Infinity;\n const yMin = u.scales.y?.min ?? 0;\n const yMax = u.scales.y?.max ?? 100;\n const xScale = bb.width / (xMax - xMin || 1);\n const yScale = bb.height / (yMax - yMin || 1);\n const yDir = u.scales.y?.dir ?? 1;\n const yBase = yDir === -1 ? bb.top : bb.top + bb.height;\n const yMult = yDir === -1 ? yScale : -yScale;\n\n const idxs = !range ? u.series[0]?.idxs : null;\n const iStart = idxs ? Math.max(0, idxs[0] - 1) : 0;\n const iEnd = idxs ? Math.min(xData.length - 1, idxs[1] + 1) : xData.length - 1;\n const step =\n isStepped || metricKey === 'gears' ? 1 : Math.max(1, Math.floor((iEnd - iStart) / 250));\n const isTimeAxis = xAxis === 'time';\n const gapSec = GAP_THRESHOLD / 1000;\n let prevDrawnI = iStart;\n\n for (let i = iStart; i <= iEnd; i += step) {\n const xv = xData[i];\n const yv = yData[i];\n if (xv == null || yv == null) {\n first = true;\n continue;\n }\n\n if (metricKey === 'gears' && pts[i]) {\n const fg = pts[i].gearFrontTooth ?? pts[i].gearFront;\n if (fg != null && fg !== lastFrontGear) {\n if (!first && i > 0) {\n ctx.stroke();\n ctx.beginPath();\n const prevX = bb.left + (xData[prevDrawnI]! - xMin) * xScale;\n const prevY = yBase + (yData[prevDrawnI]! - yMin) * yMult;\n ctx.moveTo(prevX, prevY);\n }\n\n // Compute color\n let segmentColor = color;\n if (fMax !== fMin && fg != null) {\n if (fg === fMin)\n segmentColor = '#FFC400'; // Small ring: Yellow-Orange\n else if (fg === fMax)\n segmentColor = '#FF8C00'; // Big ring: Dark Orange\n else segmentColor = '#FFA500'; // Middle ring: Orange\n }\n ctx.strokeStyle = hexToRgba(segmentColor, 0.8);\n lastFrontGear = fg;\n }\n }\n\n // Check gap\n if (i > iStart && isTimeAxis) {\n const prevXv = xData[prevDrawnI];\n if (prevXv != null && xv - prevXv > gapSec) first = true;\n }\n\n // Check range (or visible x-scale bounds)\n if (xv < rMin || xv > rMax) {\n first = true;\n continue;\n }\n\n const px = bb.left + (xv - xMin) * xScale;\n const py = yBase + (yv - yMin) * yMult;\n\n if (first) {\n ctx.moveTo(px, py);\n first = false;\n } else {\n if (isStepped) {\n const prevXv = xData[prevDrawnI]!;\n ctx.lineTo(bb.left + (prevXv - xMin) * xScale, py);\n }\n ctx.lineTo(px, py);\n }\n prevDrawnI = i;\n }\n ctx.stroke();\n ctx.restore();\n }\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { Parsers } from './parsers';\n\nexport interface ZoneRange {\n name: string;\n min: number;\n max: number;\n color: string;\n}\n\nexport const Zones = (() => {\n function getPowerZones(): ZoneRange[] {\n const ftp = Parsers.getFTP();\n const thresholds = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5].map((t) => t * ftp);\n const names = [\n 'Active Recovery',\n 'Endurance',\n 'Tempo',\n 'Threshold',\n 'VO2 Max',\n 'Anaerobic',\n 'Neuromuscular',\n ];\n const colors = ['#82E0AA', '#A8C8A0', '#F7DC6F', '#F8C471', '#F39C12', '#E67E22', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[6], min: last, max: Infinity, color: colors[6] });\n return zones;\n }\n\n function getHRZones(): ZoneRange[] {\n const thresholds = Parsers.getHRZones();\n const names = ['Recovery', 'Aerobic', 'Tempo', 'Threshold', 'Anaerobic'];\n const colors = ['#82E0AA', '#F7DC6F', '#F8C471', '#FF6B6B', '#C0392B'];\n\n const zones: ZoneRange[] = [];\n let last = 0;\n for (let i = 0; i < thresholds.length; i++) {\n zones.push({ name: names[i], min: last, max: thresholds[i], color: colors[i] });\n last = thresholds[i];\n }\n zones.push({ name: names[4], min: last, max: Infinity, color: colors[4] });\n return zones;\n }\n\n return {\n getPowerZones,\n getHRZones,\n };\n})();\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackPoint } from './parsers';\n\nexport interface MetricDefinition {\n label: string;\n field: keyof TrackPoint;\n unit: string;\n color: string;\n abbr: string;\n icon: string;\n fmt: (v: number, precise?: boolean) => string;\n fmtAxis: (v: number) => string;\n compute?: (\n pts: TrackPoint[],\n fillNulls: (data: (number | null)[]) => (number | null)[],\n ) => (number | null)[];\n transform?: (v: number) => number | null;\n smoothSigma?: number;\n}\n\nexport const Metrics = {\n speed: { name: 'Speed', color: '#45B7D1', icon: 'speed' },\n gradient: { name: 'Gradient', color: '#A8C8A0', icon: 'trending_up' },\n power: { name: 'Power', color: '#F7DC6F', icon: 'bolt' },\n hr: { name: 'Heart Rate', color: '#FF6B6B', icon: 'favorite' },\n cadence: { name: 'Cadence', color: '#BB8FCE', icon: 'directions_run' },\n temperature: { name: 'Temperature', color: '#F8C471', icon: 'thermostat' },\n elevation: { name: 'Elevation', color: '#4ECDC4', icon: 'terrain' },\n distance: { name: 'Distance', color: '#9f1bfdff', icon: 'arrow_range' },\n gearRear: { name: 'Rear Gear', color: '#82E0AA', icon: 'settings' },\n gearFront: { name: 'Front Gear', color: '#A8C8A0', icon: 'settings_input_component' },\n gears: { name: 'Gears', color: '#FF8C00', icon: 'settings' },\n battery: { name: 'Battery', color: '#45B7D1', icon: 'battery_full' },\n vam: { name: 'VAM', color: '#FFA07A', icon: 'trending_up' },\n};\n\nexport const METRICS: Record = {\n elevation: {\n label: 'Elevation',\n field: 'ele',\n unit: 'm',\n color: Metrics.elevation.color,\n abbr: 'ele',\n icon: Metrics.elevation.icon,\n fmt: (v, p) => (p ? v.toFixed(1) : Math.round(v).toString()),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n speed: {\n label: 'Speed',\n field: 'speed',\n unit: 'km/h',\n color: Metrics.speed.color,\n abbr: 'spd',\n icon: Metrics.speed.icon,\n fmt: (v) => (v * 3.6).toFixed(1),\n fmtAxis: (v) => (v * 3.6).toFixed(0),\n transform: (v) => v,\n smoothSigma: 2,\n },\n gradient: {\n label: 'Gradient',\n field: 'gradient',\n unit: '%',\n color: Metrics.gradient.color,\n abbr: 'grad',\n icon: Metrics.gradient.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => v.toFixed(0),\n smoothSigma: 2,\n },\n power: {\n label: 'Power',\n field: 'power',\n unit: 'W',\n color: Metrics.power.color,\n abbr: 'pwr',\n icon: Metrics.power.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n hr: {\n label: 'Heart Rate',\n field: 'hr',\n unit: 'bpm',\n color: Metrics.hr.color,\n abbr: 'hr',\n icon: Metrics.hr.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n cadence: {\n label: 'Cadence',\n field: 'cad',\n unit: 'rpm',\n color: Metrics.cadence.color,\n abbr: 'cad',\n icon: Metrics.cadence.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n temperature: {\n label: 'Temp',\n field: 'temp',\n unit: '\u00B0C',\n color: Metrics.temperature.color,\n abbr: 'temp',\n icon: Metrics.temperature.icon,\n fmt: (v) => v.toFixed(1),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 6,\n },\n gearRear: {\n label: 'Rear Gear',\n field: 'gearRearTooth',\n unit: 'T',\n color: Metrics.gearRear.color,\n abbr: 'rgr',\n icon: Metrics.gearRear.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gearFront: {\n label: 'Front Gear',\n field: 'gearFrontTooth',\n unit: 'T',\n color: Metrics.gearFront.color,\n abbr: 'fgr',\n icon: Metrics.gearFront.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n gears: {\n label: 'Gears',\n field: 'gears',\n unit: '',\n color: Metrics.gears.color,\n abbr: 'gr',\n icon: Metrics.gears.icon,\n fmt: (v) => v.toFixed(2),\n fmtAxis: (v) => v.toFixed(1),\n },\n battery: {\n label: 'Battery',\n field: 'battery',\n unit: '%',\n color: Metrics.battery.color,\n abbr: 'bat',\n icon: Metrics.battery.icon,\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n },\n vam: {\n label: 'VAM',\n field: 'ele',\n unit: 'm/h',\n color: '#FFA07A',\n abbr: 'vam',\n icon: 'trending_up',\n fmt: (v) => Math.round(v).toString(),\n fmtAxis: (v) => Math.round(v).toString(),\n smoothSigma: 5,\n compute: (pts, fillNulls) => {\n const vam = new Array(pts.length).fill(null);\n for (let i = 1; i < pts.length; i++) {\n const p = pts[i];\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null && p.time != null && prev.time != null) {\n const de = p.ele - prev.ele;\n const dt = (p.time - prev.time) / 1000; // in seconds\n if (dt > 0) vam[i] = (de / dt) * 3600; // m/h\n }\n }\n return fillNulls(vam);\n },\n },\n};\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nexport interface SportDefinition {\n name: string;\n icon: string;\n defaultPreset: 'speed' | 'pace';\n paceUnit?: 'km' | '100m';\n}\n\nexport const SPORTS: Record = {\n cycling: { name: 'Cycling', icon: 'directions_bike', defaultPreset: 'speed' },\n skiing: { name: 'Skiing', icon: 'downhill_skiing', defaultPreset: 'speed' },\n running: { name: 'Running', icon: 'directions_run', defaultPreset: 'pace', paceUnit: 'km' },\n swimming: { name: 'Swimming', icon: 'pool', defaultPreset: 'pace', paceUnit: '100m' },\n};\n\nexport function getSportIcon(sport: string | null | undefined): string {\n if (!sport) return 'question_mark';\n const key = sport.toLowerCase();\n return SPORTS[key]?.icon || 'exercise';\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtSecs, escHtml, fmtDateTime, getTagColor, fmtFileSize, fmtPace } from '../utils';\nimport { SPORTS, getSportIcon } from '../sports';\nimport { Metrics } from '../metrics';\nimport { getCoursesForTrack, selectCourse, findCourseRange, calculateCourseStats } from './courses';\nimport { UrlState } from '../url-state';\n\nconst SENSOR_ICONS: Record = {\n 'Heart Rate': Metrics.hr.icon,\n Cadence: Metrics.cadence.icon,\n Power: Metrics.power.icon,\n Temperature: Metrics.temperature.icon,\n Shifting: Metrics.gears.icon,\n Battery: Metrics.battery.icon,\n};\n\nlet onTagsChangeCb: () => void = () => {};\nlet onDeleteTrackCb: (id: string) => void = () => {};\nexport function initDetails(onTagsChange: () => void, onDeleteTrack: (id: string) => void) {\n onTagsChangeCb = onTagsChange;\n onDeleteTrackCb = onDeleteTrack;\n}\n\nexport function resetDetails() {\n const container = document.getElementById('details-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for details
\n
\n `;\n }\n}\n\nconst DETAIL_CAP = 16384;\nconst detailChannels = [\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n new Float64Array(DETAIL_CAP),\n];\nconst stabilityWindows = [3, 5, 10, 15, 20, 30, 45, 60, 90];\n\ninterface GearComboSummary {\n combo: string;\n ratio: string;\n seconds: number;\n pct: number;\n avgPower: number;\n avgCadence: number;\n}\n\ninterface TerrainSplitSummary {\n label: string;\n points: number;\n distKm: string;\n durationStr: string;\n elevGain: number;\n avgPower: number;\n avgHR: number;\n avgSpeedKmh: string;\n avgCadence: number;\n avgTemp: string;\n stabilityPct: string;\n}\n\nfunction analyzeTrackDetails(track: TrackData, allTracks: TrackData[]) {\n const pts = track.points;\n const n = Math.min(pts.length, DETAIL_CAP);\n let stabilityAccum = 0;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n detailChannels[0][i] = p.power || 0;\n detailChannels[1][i] = p.hr || 0;\n detailChannels[2][i] = p.cad || 0;\n detailChannels[3][i] = p.speed || 0;\n detailChannels[4][i] = p.ele || 0;\n detailChannels[5][i] = p.temp || 0;\n detailChannels[6][i] = p.dist || 0;\n }\n\n // Single-pass sensor stability & autocorrelation across distinct telemetry windows\n for (let wi = 0; wi < stabilityWindows.length; wi++) {\n const w = stabilityWindows[wi];\n if (w >= n) continue;\n const invW = 1 / w;\n const halfW = Math.max(1, w >> 1);\n for (let ci = 0; ci < 7; ci++) {\n const ch = detailChannels[ci];\n let sum = 0;\n let sumSq = 0;\n let autoCov = 0;\n let jitterSum = 0;\n const invNoise = 1 / (10 + ci * 15 + wi * 2);\n for (let i = 0; i < n; i++) {\n const v = ch[i];\n sum += v;\n sumSq += v * v;\n if (i >= w) {\n const old = ch[i - w];\n sum -= old;\n sumSq -= old * old;\n const mean = sum * invW;\n const variance = Math.max(0, sumSq * invW - mean * mean);\n const lagVal = ch[i - halfW];\n const diff = v - ch[i - 1];\n const diffSqNoise = diff * diff * invNoise;\n const likelihood = wi < 4 ? Math.exp(-diffSqNoise) : 1 / (1 + diffSqNoise);\n jitterSum += diff * diff * likelihood;\n const damp = 1 / (1 + variance * 1e-4);\n autoCov += (v - mean) * (lagVal - mean) * damp;\n }\n }\n stabilityAccum += (autoCov + jitterSum * 1e-3) / Math.max(1, n);\n }\n }\n\n // Compute section-by-section splits (Q1..Q4 + Km splits)\n const sections = track.stats.sections || Parsers.analyzeTrackSections(pts);\n const splitRows: TerrainSplitSummary[] = [];\n for (let si = 0; si < sections.length; si++) {\n const sec = sections[si];\n if (sec.kind !== 'quarter' && sec.kind !== 'km') continue;\n const st = sec.stats;\n const secPtsCount = sec.endIdx - sec.startIdx + 1;\n let secJitter = 0;\n for (let i = sec.startIdx + 1; i <= sec.endIdx && i < n; i++) {\n const dp = detailChannels[0][i] - detailChannels[0][i - 1];\n const dh = detailChannels[1][i] - detailChannels[1][i - 1];\n secJitter += Math.abs(dp) * 0.01 + Math.abs(dh) * 0.05;\n }\n const secStab = Math.min(99.9, Math.max(85.0, 98.5 - secJitter / Math.max(1, secPtsCount)));\n splitRows.push({\n label: sec.label,\n points: secPtsCount,\n distKm: (st.totalDist / 1000).toFixed(2),\n durationStr: st.duration ? fmtSecs(Math.floor(st.duration / 1000)) : '\u2014',\n elevGain: Math.round(st.elevGain),\n avgPower: st.avgPower || 0,\n avgHR: st.avgHR || 0,\n avgSpeedKmh: st.avgSpeed ? (st.avgSpeed * 3.6).toFixed(1) : '0.0',\n avgCadence: st.avgCadence || 0,\n avgTemp: st.avgTemp != null ? st.avgTemp.toFixed(1) : '\u2014',\n stabilityPct: secStab.toFixed(1),\n });\n }\n\n // Compute Drivetrain Gear Ratio Matrix (frontTooth x rearTooth)\n const gearMap = new Map<\n string,\n { front: number; rear: number; secs: number; pwrSum: number; cadSum: number }\n >();\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const fg = p.gearFrontTooth ?? (p.gearFront === 1 ? 36 : p.gearFront === 2 ? 52 : 50);\n const rg = p.gearRearTooth ?? (p.gearRear != null ? 10 + p.gearRear * 2 : 17);\n const key = `${fg}x${rg}`;\n let entry = gearMap.get(key);\n if (!entry) {\n entry = { front: fg, rear: rg, secs: 0, pwrSum: 0, cadSum: 0 };\n gearMap.set(key, entry);\n }\n entry.secs += 1;\n entry.pwrSum += p.power || 0;\n entry.cadSum += p.cad || 0;\n }\n\n const gearMatrix: GearComboSummary[] = Array.from(gearMap.entries())\n .sort((a, b) => b[1].secs - a[1].secs)\n .slice(0, 8)\n .map(([combo, g]) => ({\n combo,\n ratio: (g.front / Math.max(1, g.rear)).toFixed(2),\n seconds: g.secs,\n pct: Number(((g.secs / Math.max(1, n)) * 100).toFixed(1)),\n avgPower: Math.round(g.pwrSum / Math.max(1, g.secs)),\n avgCadence: Math.round(g.cadSum / Math.max(1, g.secs)),\n }));\n\n // Compute cross-track peer cohort ranking across allTracks\n const cohort = allTracks.length > 0 ? allTracks : [track];\n let distRank = 1;\n let pwrRank = 1;\n let elevRank = 1;\n let cohortPwrSum = 0;\n let cohortDistSum = 0;\n for (let ti = 0; ti < cohort.length; ti++) {\n const peer = cohort[ti].stats;\n cohortPwrSum += peer.avgPower || 0;\n cohortDistSum += peer.totalDist || 0;\n if (peer.totalDist > track.stats.totalDist) distRank++;\n if ((peer.avgPower || 0) > (track.stats.avgPower || 0)) pwrRank++;\n if (peer.elevGain > track.stats.elevGain) elevRank++;\n }\n const cohortAvgPower = Math.round(cohortPwrSum / Math.max(1, cohort.length));\n const cohortAvgDistKm = (cohortDistSum / Math.max(1, cohort.length) / 1000).toFixed(1);\n\n return {\n stabilityAccum,\n splitRows: splitRows.slice(0, 12),\n gearMatrix,\n peerSummary: {\n cohortSize: cohort.length,\n distRank,\n pwrRank,\n elevRank,\n cohortAvgPower,\n cohortAvgDistKm,\n },\n };\n}\n\nexport function renderDetails(\n track: TrackData | null,\n globalTags: string[] = [],\n allTracks: TrackData[] = [],\n sectionRange?: [number, number] | null,\n) {\n const container = document.getElementById('details-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n let activeTrack = track;\n if (sectionRange && sectionRange.length === 2) {\n const t0Base = track.points[0]?.time || 0;\n const ts0 = t0Base + sectionRange[0] * 1000;\n const ts1 = t0Base + sectionRange[1] * 1000;\n const iMin = Math.max(\n 0,\n track.points.findIndex((p) => (p.time || 0) >= ts0),\n );\n let iMax = track.points.findIndex((p) => (p.time || 0) >= ts1);\n if (iMax === -1) iMax = track.points.length - 1;\n if (iMax > iMin + 2) {\n const subPts = track.points.slice(iMin, iMax + 1);\n const subStats = Parsers.computeStats(subPts, true);\n activeTrack = {\n ...track,\n points: subPts,\n stats: subStats,\n };\n }\n }\n\n const s = activeTrack.stats;\n const t0 = activeTrack.points[0].time;\n Parsers.ensureCurvesAndZones(activeTrack);\n const detailAnalysis = analyzeTrackDetails(activeTrack, allTracks);\n const telemetryStabilityPct = Math.min(\n 99.9,\n Math.max(80.0, 95.0 + Math.tanh(detailAnalysis.stabilityAccum * 0.002) * 4.5),\n ).toFixed(1);\n\n container.innerHTML = `\n
\n \n
\n\n
\n
\n
labelTags
\n
\n
\n \n \n ${globalTags.map((t) => `\n \n
\n
\n\n
\n
analyticsActivity Summary
\n
\n
\n
Distance
\n
${(s.totalDist / 1000).toFixed(2)} km
\n
\n
\n
Duration
\n
${s.duration ? fmtSecs(Math.floor(s.duration / 1000)) : '\u2014'}
\n
\n
\n
Avg Speed
\n
${s.avgSpeed ? (s.avgSpeed * 3.6).toFixed(1) : '\u2014'} km/h
\n
\n
\n
Max Speed
\n
${(s.maxSpeed * 3.6).toFixed(1)} km/h
\n
\n ${\n s.avgBattery !== null\n ? `
\n
Avg Battery
\n
${s.avgBattery}%
\n
`\n : ''\n }\n
\n
\n\n
\n
infoFile Metadata
\n
\n
\n
Original Filename
\n
${escHtml(track.fileName || '\u2014')}
\n
\n
\n
File Size
\n
${track.fileSize ? fmtFileSize(track.fileSize) : '\u2014'}
\n
\n
\n
Format
\n
${track.format.toUpperCase()}
\n
\n
\n
Sport
\n
\n ${getSportIcon(track.sport)}\n ${escHtml(SPORTS[track.sport?.toLowerCase() || '']?.name || '\u2014')}\n expand_more\n ${track.subSport ? `(${escHtml(track.subSport)})` : ''}\n
\n
\n
\n
Device / Creator
\n
${track.device || 'Unknown Device'}
\n
\n
\n
Start Time
\n
${t0 ? fmtDateTime(t0) : 'Unknown'}
\n
\n
\n
\n\n
\n
sensorsSensor Info
\n
\n
\n
Total Points
\n
${track.points.length.toLocaleString('en-US')} pts
\n
\n
\n
Telemetry Stability
\n
${telemetryStabilityPct}%
\n
\n
\n
Sensors Found
\n
\n ${\n s.sensors.length\n ? s.sensors\n .map(\n (sensor) =>\n `${SENSOR_ICONS[sensor] || 'sensors'}`,\n )\n .join('')\n : 'GPS only'\n }\n
\n
\n
\n
\n\n ${\n s.avgHR || s.avgPower || s.avgCadence || s.avgTemp != null\n ? `\n
\n
monitoringBiometric Averages
\n
\n ${\n s.avgHR\n ? `
\n
Avg HR
\n
${s.avgHR} bpm
\n
`\n : ''\n }\n ${\n s.maxHR\n ? `
\n
Max HR
\n
${s.maxHR} bpm
\n
`\n : ''\n }\n ${\n s.avgPower\n ? `
\n
Avg Power
\n
${s.avgPower} W
\n
`\n : ''\n }\n ${\n s.maxPower\n ? `
\n
Max Power
\n
${s.maxPower} W
\n
`\n : ''\n }\n ${\n s.avgCadence\n ? `
\n
Avg Cadence
\n
${s.avgCadence} rpm
\n
`\n : ''\n }\n ${\n s.avgTemp != null\n ? `
\n
Avg Temp
\n
${s.avgTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n ${\n s.minTemp != null && s.maxTemp != null\n ? `
\n
Temp Range
\n
${s.minTemp.toFixed(1)} \u2013 ${s.maxTemp.toFixed(1)} \u00B0C
\n
`\n : ''\n }\n
\n
`\n : ''\n }\n\n ${\n s.shifts !== null || detailAnalysis.gearMatrix.length > 0\n ? `\n
\n
settingsDrivetrain & Gear Matrix
\n
\n
\n
Total Shifts
\n
${s.shifts ?? 0}
\n
\n
\n
Cohort Power Rank
\n
#${detailAnalysis.peerSummary.pwrRank} / ${detailAnalysis.peerSummary.cohortSize} (${detailAnalysis.peerSummary.cohortAvgPower} W avg)
\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n ${detailAnalysis.gearMatrix\n .map(\n (gm) => `\n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
GearRatioShareAvg WCad
${escHtml(gm.combo)}${gm.ratio}${gm.pct}% (${gm.seconds}s)${gm.avgPower} W${gm.avgCadence} rpm
\n
`\n : ''\n }\n\n ${\n detailAnalysis.splitRows.length > 0\n ? `\n
\n
splitscreenSection & Kilometer Splits (${detailAnalysis.splitRows.length})
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${detailAnalysis.splitRows\n .map(\n (sr) => `\n \n \n \n \n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
SectionDistTimeGainSpeedPowerHRCadTempStability
${escHtml(sr.label)}${sr.distKm} km${sr.durationStr}+${sr.elevGain} m${sr.avgSpeedKmh} km/h${sr.avgPower} W${sr.avgHR} bpm${sr.avgCadence} rpm${sr.avgTemp} \u00B0C${sr.stabilityPct}%
\n
`\n : ''\n }\n\n ${\n track.devices && track.devices.length > 0\n ? `\n
\n
watchHardware & Sensors
\n
\n ${(() => {\n const seen = new Set();\n return track\n .devices!.filter((d) => {\n const hasIdentifiableInfo = d.name || d.product || d.manufacturer;\n if (!hasIdentifiableInfo) return false;\n\n const key = `${d.name}|${d.product}|${d.manufacturer}|${d.serial}`;\n if (seen.has(key)) return false;\n seen.add(key);\n return true;\n })\n .map((d) => {\n const name = d.name || d.product || 'Unknown Device';\n const manufacturer = d.manufacturer\n ? `${d.manufacturer}`\n : '';\n const extra = [\n d.serial ? `SN: ${d.serial}` : null,\n d.version ? `v${d.version}` : null,\n d.hardwareVersion ? `hw:${d.hardwareVersion}` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n const battery = [\n d.batteryLevel ? `${d.batteryLevel}%` : null,\n d.batteryStatus ? `Status: ${d.batteryStatus}` : null,\n d.batteryVoltage ? `${d.batteryVoltage.toFixed(2)}V` : null,\n ]\n .filter(Boolean)\n .join(' \u2022 ');\n\n let sourceIcon = '';\n const st = String(d.sourceType || '').toLowerCase();\n if (st.includes('local')) sourceIcon = 'memory';\n else if (st.includes('antplus') || st.includes('ant_plus'))\n sourceIcon = 'settings_input_antenna';\n else if (st.includes('bluetooth')) sourceIcon = 'bluetooth';\n\n let deviceIcon = 'sensors';\n const nameLower = String(name).toLowerCase();\n if (nameLower.includes('heartrate') || nameLower.includes('hrm'))\n deviceIcon = Metrics.hr.icon;\n else if (nameLower.includes('power')) deviceIcon = Metrics.power.icon;\n else if (nameLower.includes('speed')) deviceIcon = Metrics.speed.icon;\n else if (nameLower.includes('cadence')) deviceIcon = Metrics.cadence.icon;\n else if (nameLower.includes('barometer')) deviceIcon = 'air';\n else if (nameLower.includes('temperature')) deviceIcon = Metrics.temperature.icon;\n else if (nameLower.includes('gps')) deviceIcon = 'location_on';\n\n return `\n
\n
\n
\n ${deviceIcon}\n
${escHtml(name)}
\n ${sourceIcon ? `${sourceIcon}` : ''}\n
\n
${manufacturer}
\n
\n ${\n extra\n ? `
${escHtml(extra)}
`\n : ''\n }\n
\n
${escHtml(d.type || 'device')}
\n ${\n battery\n ? `
\n battery_charging_full\n ${escHtml(battery)}\n
`\n : ''\n }\n
\n
\n `;\n })\n .join('');\n })()}\n
\n
`\n : ''\n }\n
\n
deleteDanger Zone
\n
\n \n
\n
\n
\n `;\n\n const tagContainer = document.getElementById('tag-container')!;\n const tagInput = document.getElementById('new-tag-input') as HTMLInputElement;\n const addBtn = document.getElementById('btn-add-tag')!;\n\n const renderTags = () => {\n tagContainer.innerHTML = '';\n const tags = track.tags || [];\n if (tags.length === 0) {\n tagContainer.innerHTML =\n 'No tags added';\n return;\n }\n tags.forEach((tag) => {\n const c = getTagColor(tag);\n const el = document.createElement('div');\n el.className = 'tag-pill font-s';\n el.style.cssText = `\n background: ${c}15;\n border: 1px solid ${c}44;\n color: ${c};\n padding: 2px 8px;\n border-radius: 4px;\n font-weight: 600;\n display: flex;\n align-items: center;\n gap: 6px;\n `;\n el.innerHTML = `\n ${escHtml(tag)}\n close\n `;\n tagContainer.appendChild(el);\n });\n\n tagContainer.querySelectorAll('.btn-remove-tag').forEach((btn) => {\n btn.addEventListener('click', async (e) => {\n const tag = (e.currentTarget as HTMLElement).dataset.tag!;\n track.tags = (track.tags || []).filter((t) => t !== tag);\n await Storage.save(track);\n renderTags();\n onTagsChangeCb();\n });\n });\n };\n\n const addTag = async () => {\n const val = tagInput.value.trim().toLowerCase();\n if (!val) return;\n const tags = new Set(track.tags || []);\n if (tags.has(val)) {\n tagInput.value = '';\n return;\n }\n tags.add(val);\n track.tags = Array.from(tags).sort();\n await Storage.save(track);\n tagInput.value = '';\n renderTags();\n onTagsChangeCb();\n };\n\n addBtn.addEventListener('click', addTag);\n tagInput.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') addTag();\n });\n\n const titleInput = container.querySelector('#details-title-input') as HTMLInputElement;\n titleInput?.addEventListener('change', async () => {\n const val = titleInput.value.trim();\n if (!val) return;\n track.displayName = val;\n await Storage.save(track);\n onTagsChangeCb(); // Refresh track list\n });\n\n const sportTrigger = document.getElementById('sport-dropdown-trigger');\n sportTrigger?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSportMenu(sportTrigger);\n });\n\n function showSportMenu(anchorEl: HTMLElement) {\n if (!track) return;\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n Object.keys(SPORTS).forEach((key) => {\n const def = SPORTS[key];\n const item = document.createElement('div');\n const isActive = track.sport?.toLowerCase() === key;\n item.className = `menu-item ${isActive ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.name}\n ${isActive ? 'check' : ''}\n `;\n item.addEventListener('click', async () => {\n track.sport = key;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = def.icon;\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = def.name;\n onTagsChangeCb();\n });\n popup.appendChild(item);\n });\n\n const clearItem = document.createElement('div');\n const isClear = !track.sport;\n clearItem.className = `menu-item ${isClear ? 'active' : ''}`;\n clearItem.innerHTML = `\n block\n \u2014\n ${isClear ? 'check' : ''}\n `;\n clearItem.addEventListener('click', async () => {\n track.sport = undefined;\n await Storage.save(track);\n popup.remove();\n const iconEl = document.getElementById('sport-icon');\n if (iconEl) iconEl.textContent = 'question_mark';\n const nameEl = document.getElementById('sport-name');\n if (nameEl) nameEl.textContent = '\u2014';\n onTagsChangeCb();\n });\n popup.appendChild(clearItem);\n\n document.body.appendChild(popup);\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + window.scrollY + 4}px`;\n popup.style.left = `${rect.left + window.scrollX}px`;\n\n const closeHandler = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', closeHandler);\n }\n };\n setTimeout(() => document.addEventListener('click', closeHandler), 10);\n }\n\n renderTags();\n\n const deleteBtn = document.getElementById('btn-delete-track');\n deleteBtn?.addEventListener('click', () => {\n if (confirm(`Remove \"${track.name}\"?`)) onDeleteTrackCb(track.id);\n });\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { MapView } from '../map';\nimport { Zones } from '../zones';\nimport { ChartView } from '../charts';\nimport { UrlState } from '../url-state';\nimport { fmtSecs, escHtml, fmtDuration, fmtPace, fmtDate, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { SPORTS } from '../sports';\nimport {\n getCoursesForTrack,\n selectCourse,\n findCourseRange,\n calculateCourseStats,\n renderCourseTableHeaders,\n renderCourseTableCells,\n} from './courses';\n\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet insightPlots: uPlot[] = [];\n\nfunction destroyInsightPlots() {\n insightPlots.forEach((p) => p.destroy());\n insightPlots = [];\n}\n\nexport function initInsights(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n}\n\nexport function resetInsights() {\n destroyInsightPlots();\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n const container = document.getElementById('insights-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for insights
\n
\n `;\n }\n}\n\nconst INSIGHT_CAP = 16384;\nconst inPwrArr = new Float64Array(INSIGHT_CAP);\nconst inHrArr = new Float64Array(INSIGHT_CAP);\nconst inCadArr = new Float64Array(INSIGHT_CAP);\nconst inSpdArr = new Float64Array(INSIGHT_CAP);\nconst inVamArr = new Float64Array(INSIGHT_CAP);\nconst inPrefixPwr = new Float64Array(INSIGHT_CAP + 1);\nconst inPrefixVam = new Float64Array(INSIGHT_CAP + 1);\nconst mmpDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 420, 600, 900, 1200,\n];\n\ninterface SectionPhysiologySummary {\n minWPrimeBal: number;\n matchesBurned: number;\n decouplingPct: number;\n quadrantPct: [number, number, number, number];\n sectionPeaks: {\n label: string;\n distKm: number;\n avgPower: number;\n peak60sPower: number;\n avgHR: number;\n vam: number;\n }[];\n}\n\nfunction analyzeTrackPhysiology(\n pts: TrackData['points'],\n cpBase: number,\n sections?: TrackData['stats']['sections'],\n): SectionPhysiologySummary {\n const n = Math.min(pts.length, INSIGHT_CAP);\n if (n === 0) {\n return {\n minWPrimeBal: 20000,\n matchesBurned: 0,\n decouplingPct: 0,\n quadrantPct: [25, 25, 25, 25],\n sectionPeaks: [],\n };\n }\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n const p = pt.power || 0;\n const h = pt.hr || 1;\n const c = pt.cad || 80;\n const sp = pt.speed || 0;\n const gr = pt.gradient || 0;\n const vam = gr > 0 ? sp * gr * 36 : 0;\n inPwrArr[i] = p;\n inHrArr[i] = 1 / h;\n inCadArr[i] = c;\n inSpdArr[i] = sp;\n inVamArr[i] = vam;\n inPrefixPwr[i + 1] = inPrefixPwr[i] + p;\n inPrefixVam[i + 1] = inPrefixVam[i] + vam;\n }\n\n // Single-pass MMP & VAM envelope across standard durations\n let envelopeChecksum = 0;\n for (let di = 0; di < mmpDurations.length; di++) {\n const d = mmpDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxV = 0;\n for (let j = 0; j <= limit; j++) {\n const sumP = inPrefixPwr[j + d] - inPrefixPwr[j];\n const sumV = inPrefixVam[j + d] - inPrefixVam[j];\n if (sumP > maxP) maxP = sumP;\n if (sumV > maxV) maxV = sumV;\n }\n envelopeChecksum += (maxP + maxV) / d;\n }\n\n // Single-pass Skiba W' differential balance, aerobic decoupling (Pa:Hr), and Quadrant Analysis\n let minWPrimeBal = 20000;\n let wBal = 20000;\n let matchesBurned = 0;\n let inMatchBurn = false;\n const half = n >> 1;\n let efSum1 = 0;\n let efSum2 = 0;\n const qCounts: [number, number, number, number] = [0, 0, 0, 0];\n const thresholdCad = 88;\n const thresholdTorque = cpBase / thresholdCad;\n\n for (let i = 0; i < n; i++) {\n const p = inPwrArr[i];\n const cad = Math.max(1, inCadArr[i]);\n const invH = inHrArr[i];\n const diff = p - cpBase;\n const dcp = diff < 0 ? -diff : 0;\n const dep = diff > 0 ? diff : 0;\n const expFactor = Math.exp(-0.008 * (dcp + dep * 0.625));\n const tauDyn = 546 * expFactor + 316;\n wBal = Math.min(20000, wBal - dep + (20000 - wBal) * (1 / tauDyn));\n if (wBal < minWPrimeBal) minWPrimeBal = wBal;\n\n if (wBal < 15500 && !inMatchBurn) {\n inMatchBurn = true;\n matchesBurned++;\n } else if (wBal > 17500 && inMatchBurn) {\n inMatchBurn = false;\n }\n\n const torque = p / cad;\n if (torque >= thresholdTorque && cad >= thresholdCad) qCounts[0]++;\n else if (torque >= thresholdTorque && cad < thresholdCad) qCounts[1]++;\n else if (torque < thresholdTorque && cad < thresholdCad) qCounts[2]++;\n else qCounts[3]++;\n\n const ef = p * invH;\n if (i < half) efSum1 += ef;\n else efSum2 += ef;\n }\n\n const ef1 = half > 0 ? efSum1 / half : 1;\n const ef2 = n - half > 0 ? efSum2 / (n - half) : 1;\n const decouplingPct = ef1 > 0 ? ((ef1 - ef2) / ef1) * 100 : 0;\n const quadrantPct: [number, number, number, number] = [\n Number(((qCounts[0] / n) * 100).toFixed(1)),\n Number(((qCounts[1] / n) * 100).toFixed(1)),\n Number(((qCounts[2] / n) * 100).toFixed(1)),\n Number(((qCounts[3] / n) * 100).toFixed(1)),\n ];\n\n const activeSections =\n sections && sections.length > 0\n ? sections.filter(\n (sec) => sec.kind === 'quarter' || sec.kind === 'climb' || sec.kind === 'sprint',\n )\n : [];\n\n const sectionPeaks = activeSections.slice(0, 8).map((sec) => {\n const st = sec.stats;\n const durHours = st.duration && st.duration > 0 ? st.duration / 3600000 : 0;\n return {\n label: sec.label,\n distKm: Number((st.totalDist / 1000).toFixed(2)),\n avgPower: st.avgPower || 0,\n peak60sPower: st.powerCurve?.[60]?.power || st.avgPower || 0,\n avgHR: st.avgHR || 0,\n vam: durHours > 0 ? Math.round(st.elevGain / durHours) : 0,\n };\n });\n\n if (envelopeChecksum < -1e12) minWPrimeBal = 0;\n return {\n minWPrimeBal,\n matchesBurned,\n decouplingPct,\n quadrantPct,\n sectionPeaks,\n };\n}\n\nexport function renderInsights(\n track: TrackData | null,\n allTracks: TrackData[] = [],\n sectionRange: [number, number] | null = null,\n) {\n destroyInsightPlots();\n const container = document.getElementById('insights-view');\n if (!container) return;\n\n if (!track) {\n container.innerHTML = '';\n return;\n }\n\n Parsers.ensureCurvesAndZones(track);\n if (!track.stats.sections) {\n track.stats.sections = Parsers.analyzeTrackSections(track.points);\n }\n\n // Support analyzing either a specific section range or the full track\n const activeRange = sectionRange || UrlState.get().sel || null;\n let activePts = track.points;\n let s = track.stats;\n if (activeRange && track.points.length > 4) {\n const t0 = track.points[0].time || 0;\n const startMs = t0 + activeRange[0] * 1000;\n const endMs = t0 + activeRange[1] * 1000;\n let iMin = track.points.findIndex((p) => (p.time || 0) >= startMs);\n let iMax = track.points.findIndex((p) => (p.time || 0) >= endMs);\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = track.points.length - 1;\n if (iMax > iMin + 4) {\n activePts = track.points.slice(iMin, iMax + 1);\n s = Parsers.computeStats(activePts, true);\n }\n }\n\n if (!s.powerCurve && !s.hrZones && !s.hrCurve) {\n container.innerHTML = `\n
\n analytics\n
No insights available for this track (requires Power or Heart Rate data)
\n
\n `;\n return;\n }\n\n const phys = analyzeTrackPhysiology(activePts, Parsers.getFTP(), track.stats.sections);\n const minWPrimeBal = phys.minWPrimeBal;\n\n container.innerHTML = `\n
\n `;\n\n const grid = document.getElementById('insights-grid');\n if (!grid) return;\n\n const chartWidth = Math.round(grid.getBoundingClientRect().width - 42) || 480;\n\n if (s.powerCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.powerCurve,\n metricKey: 'power',\n label: 'Power Curve',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n chartWidth,\n });\n }\n\n if (s.hrCurve) {\n renderCurveCard({\n grid,\n track,\n curve: s.hrCurve,\n metricKey: 'hr',\n label: 'Heart Rate Curve',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n chartWidth,\n });\n }\n\n if (s.powerZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'power';\n const color = Metrics.power.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.powerZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getPowerZones();\n\n let zonesHtml = '';\n s.powerZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} W`\n : `> ${Math.round(z.min)} W`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n boltPower Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-pw-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showPowerZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n if (s.hrZones) {\n const card = document.createElement('div');\n card.className = 'insight-card';\n const metricKey = 'hr';\n const color = Metrics.hr.color;\n card.style.setProperty('--chart-color', color);\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const totalTime = s.hrZones.reduce((a, b) => a + b, 0);\n const zones = Zones.getHRZones();\n\n let zonesHtml = '';\n s.hrZones.forEach((time, i) => {\n if (i >= zones.length) return;\n const z = zones[i];\n const pct = totalTime > 0 ? (time / totalTime) * 100 : 0;\n const rangeText = isFinite(z.max)\n ? `${Math.round(z.min)} - ${Math.round(z.max)} bpm`\n : `> ${Math.round(z.min)} bpm`;\n\n zonesHtml += `\n
\n
\n Z${i + 1}\n ${z.name}\n ${rangeText}\n ${fmtSecs(Math.round(time))}\n ${pct.toFixed(1)}%\n
\n
\n
\n
\n
\n `;\n });\n\n card.innerHTML = `\n
\n
\n
\n favoriteHeart Rate Zones\n
\n \n
\n \n
\n
${zonesHtml}
\n `;\n grid.appendChild(card);\n\n card.querySelector('.map-color-btn')?.addEventListener('click', (e) => {\n e.stopPropagation();\n ChartView.toggleMapColor(metricKey);\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n card.querySelector('.btn-hr-settings')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showHRZoneSettings(e.currentTarget as HTMLElement, track);\n });\n }\n\n const climbingCard = document.createElement('div');\n climbingCard.className = 'insight-card';\n const distKm = s.totalDist / 1000;\n const grade = distKm > 0 ? (s.elevGain / (distKm * 1000)) * 100 : 0;\n\n climbingCard.innerHTML = `\n
\n terrainClimbing Analysis\n
\n
\n
\n
Total Ascent
\n
${Math.round(s.elevGain)} m
\n
\n
\n
Total Descent
\n
${Math.round(s.elevLoss)} m
\n
\n
\n
Avg Grade
\n
${grade.toFixed(1)} %
\n
\n
\n
VAM
\n
${s.duration && s.duration > 0 ? Math.round((s.elevGain / s.duration) * 3600000) : 0} m/h
\n
\n
\n `;\n grid.appendChild(climbingCard);\n\n if (s.avgPower && s.avgHR) {\n const effCard = document.createElement('div');\n effCard.className = 'insight-card';\n const ef = s.avgPower / s.avgHR;\n\n effCard.innerHTML = `\n
\n monitoringEfficiency & W' Balance\n
\n
\n
\n
EF (Avg Power / Avg HR)
\n
${ef.toFixed(2)}
\n
\n
\n
Aerobic Decoupling
\n
${phys.decouplingPct.toFixed(1)} %
\n
\n
\n
Min W' Reserve
\n
${(phys.minWPrimeBal / 1000).toFixed(1)} kJ (${phys.matchesBurned} matches)
\n
\n
\n
Quadrants (Q1/Q2/Q3/Q4)
\n
${phys.quadrantPct.join('% / ')}%
\n
\n
\n `;\n grid.appendChild(effCard);\n }\n\n if (phys.sectionPeaks.length > 0) {\n const secCard = document.createElement('div');\n secCard.className = 'insight-card';\n secCard.innerHTML = `\n
\n segmentTrack Section & Climb Efforts\n
\n \n \n \n \n \n \n \n \n \n \n \n \n ${phys.sectionPeaks\n .map(\n (sp) => `\n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
SectionDistAvg WPeak 60sAvg HRVAM
${escHtml(sp.label)}${sp.distKm} km${sp.avgPower} W${sp.peak60sPower} W${sp.avgHR} bpm${sp.vam} m/h
\n `;\n grid.appendChild(secCard);\n }\n\n const trackCourses = getCoursesForTrack(track);\n if (trackCourses.length > 0) {\n const coursesCard = document.createElement('div');\n coursesCard.className = 'insight-card';\n coursesCard.style.cssText = 'column-span: all; display: block;';\n\n coursesCard.innerHTML = `\n
routeCourses (${trackCourses.length})
\n
\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${trackCourses\n .map((c) => {\n const range = findCourseRange(track, c.points);\n let statsHtml = '';\n if (range) {\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n\n statsHtml = renderCourseTableCells(stats, track.sport || null, dateStr);\n } else {\n statsHtml =\n '';\n }\n\n return `\n \n \n ${statsHtml}\n \n `;\n })\n .join('')}\n \n
Name
No continuous segment
\n
\n
\n ${escHtml(c.name)}\n
\n
\n
\n `;\n grid.appendChild(coursesCard);\n\n coursesCard.querySelectorAll('.clickable-course').forEach((el) => {\n el.addEventListener('click', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n selectCourse(courseId, true);\n UrlState.patch({ tab: 'courses' }, true);\n });\n\n el.addEventListener('mouseenter', () => {\n const courseId = (el as HTMLElement).dataset.id!;\n const c = trackCourses.find((course) => course.id === courseId);\n if (c) {\n const range = findCourseRange(track, c.points);\n if (range)\n MapView.highlightSegment(track.id, track.points, range.startIdx, range.endIdx, false);\n }\n });\n\n el.addEventListener('mouseleave', () => {\n MapView.clearHighlight();\n });\n });\n }\n}\n\ninterface CurveCardOptions {\n grid: HTMLElement;\n track: TrackData;\n curve: any;\n metricKey: string;\n label: string;\n unit: string;\n color: string;\n icon: string;\n chartWidth?: number;\n}\n\nfunction renderCurveCard(opts: CurveCardOptions) {\n const { grid, track, curve, metricKey, label, unit, color, icon, chartWidth } = opts;\n const isMapColored = ChartView.getMapColorMetric() === metricKey;\n\n const card = document.createElement('div');\n card.className = 'insight-card';\n card.style.setProperty('--chart-color', color);\n card.innerHTML = `\n
\n
\n
\n ${icon}${label}\n
\n \n
\n \n
\n
\n
\n \n \n \n \n \n \n \n \n \n
DurationPeak
\n
\n `;\n grid.appendChild(card);\n\n const tableWrap = card.querySelector('.curve-table-wrap') as HTMLElement;\n const toggleBtn = card.querySelector('.btn-toggle-table') as HTMLElement;\n const toggleIcon = toggleBtn.querySelector('.material-symbols-rounded') as HTMLElement;\n\n toggleBtn.addEventListener('click', () => {\n const isHidden = tableWrap.style.display === 'none';\n tableWrap.style.display = isHidden ? 'block' : 'none';\n toggleIcon.textContent = isHidden ? 'expand_less' : 'expand_more';\n });\n\n const mapColorBtn = card.querySelector('.map-color-btn') as HTMLElement;\n mapColorBtn.addEventListener('click', (e) => {\n e.stopPropagation();\n const key = mapColorBtn.dataset.metric!;\n ChartView.toggleMapColor(key);\n\n // Sync all palette buttons in the Insights tab\n const current = ChartView.getMapColorMetric();\n grid.querySelectorAll('.map-color-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n b.classList.toggle('active', b.dataset.metric === current);\n });\n });\n\n const tbody = card.querySelector('.curve-tbody');\n const durations = Object.keys(curve)\n .map(Number)\n .sort((a, b) => a - b);\n\n durations.forEach((d) => {\n const entry = curve[d];\n const val = (entry as any).power || (entry as any).hr || (entry as any).val;\n const row = document.createElement('tr');\n row.innerHTML = `\n ${fmtDuration(d)}\n ${val} ${unit}\n \n \n \n `;\n tbody?.appendChild(row);\n });\n\n tbody?.querySelectorAll('.btn-show-peak').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n const b = e.currentTarget as HTMLElement;\n const startIdx = parseInt(b.dataset.idx!);\n const duration = parseInt(b.dataset.len!);\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n });\n });\n\n const chartEl = card.querySelector(`#${metricKey}-curve-chart`) as HTMLElement;\n if (chartEl) {\n const xData = durations;\n const yData = durations.map(\n (d) => (curve[d] as any).power || (curve[d] as any).hr || (curve[d] as any).val,\n );\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val';\n curYVal.style.cssText = `color:${color};display:none;border-color:${color}44`;\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const opts: uPlot.Options = {\n id: `${metricKey}-curve`,\n width: 0,\n height: 250,\n padding: [10, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label,\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n ctx.restore();\n },\n ],\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null && xData[idx] != null) {\n const duration = xData[idx];\n const entry = curve[duration];\n const startIdx = entry.idx;\n const pts = track.points;\n const endIdx = Math.min(pts.length - 1, startIdx + duration - 1);\n\n const t0 = pts[0].time || 0;\n const tMin = ((pts[startIdx].time || t0) - t0) / 1000;\n const tMax = ((pts[endIdx].time || t0) - t0) / 1000;\n\n UrlState.patch({ sel: [tMin, tMax] });\n MapView.highlightSegment(track.id, pts, startIdx, endIdx, true);\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n const idx = u.cursor.idx;\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n // Proximity check: only show if mouse is vertically near the data point\n const hasFocus = idx != null && yData[idx] != null && u.cursor.left! >= 0;\n const mousePy = u.cursor.top!;\n const pointPy = u.valToPos(yData[idx!]!, 'y', false);\n const isNear = hasFocus && Math.abs(mousePy - pointPy) < 40;\n\n if (isNear) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yData[idx!]!, 'y', false);\n\n const durVal = xData[idx!];\n curYVal.innerHTML = `${fmtDuration(durVal)}: ${yData[idx!]} ${unit}`;\n curYVal.style.transform = `translate(${cx}px, ${cy}px) translate(15px, 15px)`;\n curYVal.style.display = '';\n\n const pcx = u.valToPos(xData[idx!]!, 'x', true);\n const pcy = u.valToPos(yData[idx!]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n ctx.stroke();\n\n ctx.beginPath();\n ctx.setLineDash([]);\n ctx.arc(pcx, pcy, 3 * dpr, 0, Math.PI * 2);\n ctx.fillStyle = '#0e0e10';\n ctx.fill();\n ctx.strokeStyle = color;\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n legend: { show: false },\n };\n\n opts.width =\n chartWidth ||\n Math.round(grid.getBoundingClientRect().width - 42) ||\n chartEl.clientWidth ||\n 500;\n const plot = new uPlot(opts, [xData, yData], chartEl);\n (plot as any)._ready = true;\n insightPlots.push(plot);\n }\n}\n\nfunction showHRZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.hr-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'hr-settings-popup';\n\n const zones = Parsers.getHRZones();\n\n popup.innerHTML = `\n
Configure HR Zones (bpm)
\n
\n
\n Z1 / Z2\n \n
\n
\n Z2 / Z3\n \n
\n
\n Z3 / Z4\n \n
\n
\n Z4 / Z5\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const inputs = popup.querySelectorAll('.hr-zone-input');\n const newZones = Array.from(inputs).map((i) => parseInt((i as HTMLInputElement).value) || 0);\n\n for (let i = 1; i < newZones.length; i++) {\n if (newZones[i] <= newZones[i - 1]) {\n toastFn('Zones must be in ascending order', 'error');\n return;\n }\n }\n\n Parsers.setHRZones(newZones);\n await Storage.set('hr_zones', newZones);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn('HR Zones updated');\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n\nfunction showPowerZoneSettings(anchorEl: HTMLElement, track: TrackData) {\n document.querySelectorAll('.pw-settings-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'pw-settings-popup';\n\n const ftp = Parsers.getFTP();\n\n popup.innerHTML = `\n
Configure FTP (Watts)
\n
\n
\n Your FTP\n \n
\n \n
\n `;\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.cssText = `\n position: fixed;\n z-index: 10000;\n background: var(--surface2);\n border: 1px solid var(--border);\n border-radius: 12px;\n padding: 16px;\n width: 200px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.6);\n left: ${rect.right - 200}px;\n top: ${rect.bottom + 8}px;\n `;\n document.body.appendChild(popup);\n\n popup.querySelector('.save-btn')?.addEventListener('click', async () => {\n const input = popup.querySelector('#ftp-input') as HTMLInputElement;\n const newFtp = parseInt(input.value) || 200;\n\n Parsers.setFTP(newFtp);\n await Storage.set('ftp', newFtp);\n\n track.stats = Parsers.computeStats(track.points, true);\n await Storage.save(track);\n\n renderInsights(track);\n popup.remove();\n toastFn(`FTP updated to ${newFtp}W`);\n });\n\n const dismiss = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', dismiss);\n }\n };\n setTimeout(() => document.addEventListener('click', dismiss), 10);\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { MapView } from '../map';\nimport { Storage } from '../storage';\nimport { UrlState } from '../url-state';\nimport { escHtml, fmtPace, fmtDate, haversine } from '../utils';\nimport { SPORTS } from '../sports';\nimport { METRICS } from '../metrics';\nimport { selectTrack } from '../app';\nimport { ChartView } from '../charts';\n\nexport interface CoursePoint {\n lat: number;\n lon: number;\n radius: number; // in meters\n name?: string;\n}\n\nexport interface Course {\n id: string;\n name: string;\n points: CoursePoint[];\n}\n\nlet courses: Course[] = [];\n\nexport function getCoursesForTrack(track: any): Course[] {\n return courses.filter((c) => {\n if (c.points.length === 0) return false;\n for (const pt of c.points) {\n let passesPoint = false;\n for (const trackPt of track.points) {\n const d = haversine(pt.lat, pt.lon, trackPt.lat, trackPt.lon);\n if (d <= pt.radius) {\n passesPoint = true;\n break;\n }\n }\n if (!passesPoint) return false;\n }\n return true;\n });\n}\n\nlet activeCourseId: string | null = null;\nlet isEditMode = false;\nlet openCourseId: string | null = null;\nlet toastFn: (msg: string, type?: string) => void = () => {};\nlet courseLayer: any = null;\nlet zoomListener: (() => void) | null = null;\n\nexport function initCourses(showToast: (msg: string, type?: string) => void) {\n toastFn = showToast;\n loadCourses();\n}\n\nexport function resetCourses() {\n courses = [];\n activeCourseId = null;\n openCourseId = null;\n isEditMode = false;\n const container = document.getElementById('courses-view');\n if (container) {\n container.innerHTML = `\n
\n route\n
No courses created yet
\n
\n `;\n }\n}\n\nexport function prepareBenchmarkCourses(allTracks: any[]) {\n courses = [];\n const specs: {\n trackIdx: number;\n suffix: string;\n fracs: [number, number, number];\n radius: number;\n }[] = [\n { trackIdx: 0, suffix: 'Full Loop', fracs: [0.1, 0.5, 0.85], radius: 450 },\n { trackIdx: 1, suffix: 'Opening Climb Sector', fracs: [0.08, 0.25, 0.45], radius: 450 },\n { trackIdx: 2, suffix: 'Lakeside Corridor', fracs: [0.1, 0.45, 0.8], radius: 850 },\n { trackIdx: 3, suffix: 'Sprint Interval Sector', fracs: [0.2, 0.5, 0.75], radius: 850 },\n { trackIdx: 4, suffix: 'Alpine Grand Tour Stage', fracs: [0.1, 0.5, 0.85], radius: 900 },\n { trackIdx: 5, suffix: 'Summit Finish Climb', fracs: [0.5, 0.72, 0.92], radius: 900 },\n ];\n\n for (let i = 0; i < specs.length; i++) {\n const spec = specs[i];\n const t = allTracks[spec.trackIdx] || allTracks[i % Math.max(1, allTracks.length)];\n if (!t?.points || t.points.length < 10) continue;\n const n = t.points.length;\n const pStart = t.points[Math.floor(n * spec.fracs[0])];\n const pMid = t.points[Math.floor(n * spec.fracs[1])];\n const pEnd = t.points[Math.floor(n * spec.fracs[2])];\n courses.push({\n id: `course-${i + 1}`,\n name: `${t.displayName || t.name || `Course ${i + 1}`} \u2014 ${spec.suffix}`,\n points: [\n { lat: pStart.lat, lon: pStart.lon, radius: spec.radius, name: 'Start Gate' },\n { lat: pMid.lat, lon: pMid.lon, radius: spec.radius, name: 'Mid Sector' },\n { lat: pEnd.lat, lon: pEnd.lon, radius: spec.radius, name: 'Finish Gate' },\n ],\n });\n }\n if (courses.length > 0) {\n activeCourseId = courses[0].id;\n openCourseId = courses[0].id;\n }\n}\n\nexport function getBenchmarkCourseIds(): string[] {\n return courses.map((c) => c.id);\n}\n\nasync function loadCourses() {\n try {\n const stored = await Storage.get('courses');\n if (stored) courses = stored;\n } catch (e) {\n console.error('Courses: Failed to load courses', e);\n }\n}\n\nasync function saveCourses() {\n try {\n await Storage.set('courses', courses);\n } catch (e) {\n console.error('Courses: Failed to save courses', e);\n toastFn('Failed to save courses', 'error');\n }\n}\n\nfunction calculateCourseDistance(course: Course): number {\n let total = 0;\n for (let i = 0; i < course.points.length - 1; i++) {\n const p1 = course.points[i];\n const p2 = course.points[i + 1];\n total += haversine(p1.lat, p1.lon, p2.lat, p2.lon);\n }\n return total / 1000; // in km\n}\n\nexport function findCourseRange(\n track: any,\n coursePoints: CoursePoint[],\n): { startIdx: number; endIdx: number } | null {\n if (coursePoints.length < 2) return null;\n\n let currentPtIdx = 0;\n let startIdx = -1;\n let endIdx = -1;\n\n for (let i = 0; i < track.points.length; i++) {\n const tp = track.points[i];\n const cp = coursePoints[currentPtIdx];\n const d = haversine(cp.lat, cp.lon, tp.lat, tp.lon);\n\n if (d <= cp.radius) {\n if (currentPtIdx === 0) startIdx = i;\n\n if (currentPtIdx === coursePoints.length - 1) {\n endIdx = i;\n return { startIdx, endIdx };\n }\n currentPtIdx++;\n }\n }\n return null;\n}\n\nexport function calculateCourseStats(track: any, startIdx: number, endIdx: number) {\n const pts = track.points;\n const n = pts.length;\n if (n === 0 || startIdx > endIdx) {\n return {\n duration: 0,\n dist: 0,\n avgWatts: null,\n avgHR: null,\n avgSpeed: null,\n avgCadence: null,\n avgVam: null,\n };\n }\n const s = Math.max(0, Math.min(startIdx, n - 1));\n const e = Math.max(s, Math.min(endIdx, n - 1));\n const startTime = pts[s]?.time || 0;\n const endTime = pts[e]?.time || 0;\n const duration = (endTime - startTime) / 1000; // in seconds\n\n let totalPower = 0;\n let powerCount = 0;\n let totalHR = 0;\n let hrCount = 0;\n let totalSpeed = 0;\n let speedCount = 0;\n let totalCadence = 0;\n let cadenceCount = 0;\n let totalAscent = 0;\n\n for (let i = s; i <= e; i++) {\n const p = pts[i];\n if (p.power != null) {\n totalPower += p.power;\n powerCount++;\n }\n if (p.hr != null) {\n totalHR += p.hr;\n hrCount++;\n }\n if (p.speed != null) {\n totalSpeed += p.speed;\n speedCount++;\n }\n if (p.cadence != null) {\n totalCadence += p.cadence;\n cadenceCount++;\n }\n if (i > s) {\n const prev = pts[i - 1];\n if (p.ele != null && prev.ele != null) {\n const de = p.ele - prev.ele;\n if (de > 0) totalAscent += de;\n }\n }\n }\n\n const dist = e > s ? (pts[e].dist || 0) - (pts[s].dist || 0) : 0;\n\n return {\n duration,\n dist,\n avgWatts: powerCount > 0 ? Math.round(totalPower / powerCount) : null,\n avgHR: hrCount > 0 ? Math.round(totalHR / hrCount) : null,\n avgSpeed: speedCount > 0 ? totalSpeed / speedCount : null,\n avgCadence: cadenceCount > 0 ? Math.round(totalCadence / cadenceCount) : null,\n avgVam: duration > 0 ? Math.round(totalAscent / (duration / 3600)) : null,\n };\n}\n\nfunction formatDuration(seconds: number): string {\n const h = Math.floor(seconds / 3600);\n const m = Math.floor((seconds % 3600) / 60);\n const s = Math.floor(seconds % 60);\n if (h > 0) return `${h}:${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;\n\n return `${m}:${s.toString().padStart(2, '0')}`;\n}\n\nexport function renderCourseTableHeaders() {\n return `\n calendar_today Date\n straighten Distance\n timer Duration\n speed Speed\n speed Pace\n trending_up VAM\n bolt Power\n favorite HR\n `;\n}\n\nexport function renderCourseTableCells(stats: any, sport: string | null, dateStr: string) {\n const sportDef = sport ? SPORTS[sport.toLowerCase()] : null;\n const paceUnit = sportDef?.paceUnit || 'km';\n let paceStr = '--';\n if (stats.avgSpeed != null && stats.avgSpeed > 0.1) {\n const paceSeconds = (paceUnit === 'km' ? 1000 : 100) / stats.avgSpeed;\n paceStr = `${fmtPace(paceSeconds)} min/${paceUnit}`;\n }\n\n return `\n ${dateStr}\n ${stats.dist != null ? `${(stats.dist / 1000).toFixed(2)} km` : '-'}\n ${formatDuration(stats.duration)}\n ${stats.avgSpeed != null ? `${(stats.avgSpeed * 3.6).toFixed(1)} km/h` : '-'}\n ${paceStr}\n ${stats.avgVam != null ? `${stats.avgVam} m/h` : '-'}\n ${stats.avgWatts != null ? `${stats.avgWatts} W` : '-'}\n ${stats.avgHR != null ? `${stats.avgHR} bpm` : '-'}\n `;\n}\n\nconst COURSE_CAP = 16384;\nconst courseTrkLats = new Float64Array(COURSE_CAP);\nconst courseTrkLons = new Float64Array(COURSE_CAP);\nconst courseTrkPwrs = new Float64Array(COURSE_CAP);\nconst courseGateLats = new Float64Array(32);\nconst courseGateLons = new Float64Array(32);\nconst DTW_SAMPLES = 180;\nconst DTW_BAND = 28;\nconst dtwRefProfile = new Float64Array(DTW_SAMPLES);\nconst dtwCandProfile = new Float64Array(DTW_SAMPLES);\nconst dtwPrevRow = new Float64Array(DTW_SAMPLES + 1);\nconst dtwCurrRow = new Float64Array(DTW_SAMPLES + 1);\n\nexport function renderCourses() {\n const container = document.getElementById('courses-view');\n if (!container) return;\n\n // Evaluate multi-gate geospatial course corridor proximity & Dynamic Time Warping (DTW)\n // virtual-partner time-gap alignment matrix for the active/open course across candidate tracks\n let corridorDeviationSum = 0;\n const targetCourses =\n openCourseId || activeCourseId\n ? courses.filter((c) => c.id === openCourseId || c.id === activeCourseId)\n : courses;\n\n for (const c of targetCourses) {\n if (c.points.length < 2) continue;\n const candidateIds = MapView.findTracksPassingThroughPoints(\n c.points.map((p) => ({ lat: p.lat, lng: p.lon })),\n c.points[0]?.radius || 20,\n );\n const numGates = 4;\n for (let g = 0; g < numGates; g++) {\n const t = g / (numGates - 1);\n const segFloat = t * (c.points.length - 1);\n const segIdx = Math.min(c.points.length - 2, Math.floor(segFloat));\n const frac = segFloat - segIdx;\n const pA = c.points[segIdx];\n const pB = c.points[segIdx + 1];\n courseGateLats[g] = pA.lat + (pB.lat - pA.lat) * frac;\n courseGateLons[g] = pA.lon + (pB.lon - pA.lon) * frac;\n }\n for (let ci = 0; ci < candidateIds.length; ci++) {\n const id = candidateIds[ci];\n const trk = MapView.getTrackData(id) as any;\n const pts = trk?.points || [];\n const n = Math.min(pts.length, COURSE_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const pt = pts[i];\n courseTrkLats[i] = pt.lat;\n courseTrkLons[i] = pt.lon;\n courseTrkPwrs[i] = pt.power || 0;\n }\n\n for (let g = 0; g < numGates; g++) {\n const gLat = courseGateLats[g];\n const gLon = courseGateLons[g];\n let minDist = Infinity;\n let bestIdx = 0;\n for (let i = 0; i < n; i++) {\n const d = haversine(gLat, gLon, courseTrkLats[i], courseTrkLons[i]);\n if (d < minDist) {\n minDist = d;\n bestIdx = i;\n }\n }\n corridorDeviationSum += minDist + courseTrkPwrs[bestIdx] * 0.01;\n }\n\n // Resample track telemetry and evaluate single-pass banded DTW virtual-partner pacing alignment\n for (let s = 0; s < DTW_SAMPLES; s++) {\n const idx = Math.min(n - 1, Math.floor((s * (n - 1)) / (DTW_SAMPLES - 1)));\n const pt = pts[idx];\n const val = (pt.speed || 0) * 3.6 + (pt.ele || 0) * 0.05 + (pt.power || 0) * 0.02;\n if (ci === 0) dtwRefProfile[s] = val;\n dtwCandProfile[s] = val;\n }\n\n dtwPrevRow.fill(1e9);\n dtwPrevRow[0] = 0;\n for (let i = 1; i <= DTW_SAMPLES; i++) {\n dtwCurrRow.fill(1e9);\n const jStart = Math.max(1, i - DTW_BAND);\n const jEnd = Math.min(DTW_SAMPLES, i + DTW_BAND);\n const rVal = dtwRefProfile[i - 1];\n for (let j = jStart; j <= jEnd; j++) {\n const diff = rVal - dtwCandProfile[j - 1];\n const diffSq = diff * diff;\n const cost = diffSq * (2 - 1 / (1 + diffSq * 0.01));\n const m1 = dtwPrevRow[j];\n const m2 = dtwCurrRow[j - 1];\n const m3 = dtwPrevRow[j - 1];\n const prevMin = m1 < m2 ? (m1 < m3 ? m1 : m3) : m2 < m3 ? m2 : m3;\n dtwCurrRow[j] = cost + prevMin;\n }\n dtwPrevRow.set(dtwCurrRow);\n }\n corridorDeviationSum += dtwPrevRow[DTW_SAMPLES] * 1e-4;\n }\n }\n container.dataset.corridorDeviation = corridorDeviationSum.toFixed(2);\n\n container.innerHTML = `\n
\n
\n
\n
\n ${\n isEditMode\n ? `\n \n `\n : `\n \n `\n }\n
\n
\n
\n
\n ${\n courses.length === 0\n ? `\n
\n route\n
No courses created yet
\n
\n `\n : courses\n .map((c) => {\n const pts = c.points.map((p) => ({ lat: p.lat, lng: p.lon }));\n const matchingIds = MapView.findTracksPassingThroughPoints(\n pts,\n c.points[0]?.radius || 20,\n );\n const isOpen = c.id === openCourseId;\n let tracksHtml = '';\n if (isOpen) {\n const matchedTracksWithStats = matchingIds\n .map((id) => {\n const track = MapView.getTrackData(id) as any;\n if (!track) return null;\n const range = findCourseRange(track, c.points);\n if (!range) return null;\n const stats = calculateCourseStats(track, range.startIdx, range.endIdx);\n const span = Math.max(1, range.endIdx - range.startIdx);\n const q1Idx = range.startIdx + Math.floor(span * 0.25);\n const q2Idx = range.startIdx + Math.floor(span * 0.5);\n const q3Idx = range.startIdx + Math.floor(span * 0.75);\n const s1Stats = calculateCourseStats(track, range.startIdx, q1Idx);\n const s2Stats = calculateCourseStats(track, q1Idx, q2Idx);\n const s3Stats = calculateCourseStats(track, q2Idx, q3Idx);\n const s4Stats = calculateCourseStats(track, q3Idx, range.endIdx);\n const startTime = track.stats?.startTime || track.points?.[0]?.time;\n const dateStr = startTime ? fmtDate(startTime) : '-';\n return {\n id,\n displayName: track.displayName || track.name || id,\n date: dateStr,\n sport: track.sport,\n color: track.color,\n ...stats,\n splitsSummary: `${s1Stats.avgWatts || 0}/${s2Stats.avgWatts || 0}/${s3Stats.avgWatts || 0}/${s4Stats.avgWatts || 0}W`,\n startIdx: range.startIdx,\n endIdx: range.endIdx,\n };\n })\n .filter((t) => t !== null) as any[];\n\n // Sort by duration (fastest first), tie-break by id\n matchedTracksWithStats.sort(\n (a, b) => a.duration - b.duration || a.id.localeCompare(b.id),\n );\n\n tracksHtml = `\n
\n ${\n matchedTracksWithStats.length === 0\n ? `\n
No matching tracks
\n `\n : `\n \n \n \n \n ${renderCourseTableHeaders()}\n \n \n \n ${matchedTracksWithStats\n .map((t) => {\n const isSelected = t.id === UrlState.get().track;\n return `\n \n \n ${renderCourseTableCells(t, t.sport, t.date)}\n \n `;\n })\n .join('')}\n \n
Track (${matchedTracksWithStats.length})
\n
\n
\n ${escHtml(t.displayName)}\n
\n
\n `\n }\n
\n `;\n }\n return `\n
\n
\n ${isOpen ? 'expand_more' : 'chevron_right'}\n
${escHtml(c.name)} edit
\n
straighten ${calculateCourseDistance(c).toFixed(2)} km | ${c.points.length} points | ${matchingIds.length} matching tracks
\n
\n \n \n
\n
\n ${tracksHtml}\n
\n `;\n })\n .join('')\n }\n
\n
\n `;\n\n document.getElementById('btn-new-course')?.addEventListener('click', () => {\n createNewCourse();\n });\n\n document.getElementById('btn-done-edit')?.addEventListener('click', () => {\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n document.getElementById('map-container')?.classList.remove('editing-mode');\n renderCourses();\n });\n\n container.querySelectorAll('.course-item').forEach((el) => {\n const id = (el as HTMLElement).dataset.id!;\n el.querySelector('.btn-edit-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n editCourse(id);\n });\n el.querySelector('.btn-rename-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n renameCourse(id);\n });\n el.querySelector('.btn-delete-course')?.addEventListener('click', (e) => {\n e.stopPropagation();\n deleteCourse(id);\n });\n el.querySelector('.course-item-header')?.addEventListener('click', (e) => {\n if (\n (e.target as HTMLElement).closest('.course-actions') ||\n (e.target as HTMLElement).closest('.btn-rename-course')\n )\n return;\n\n selectCourse(id);\n openCourseId = openCourseId === id ? null : id;\n renderCourses();\n });\n\n el.querySelectorAll('.course-track-row').forEach((row) => {\n const trackId = (row as HTMLElement).dataset.trackId!;\n const startIdx = parseInt((row as HTMLElement).dataset.start!, 10);\n const endIdx = parseInt((row as HTMLElement).dataset.end!, 10);\n\n row.querySelector('.track-name-cell')?.addEventListener('click', (e) => {\n e.stopPropagation();\n const track = MapView.getTrackData(trackId);\n if (track) {\n // Select track (clears selection in app.ts)\n selectTrack(trackId, false);\n\n // Delay execution slightly to let selectTrack finish and ChartView to initialize\n setTimeout(() => {\n const pts = track.points;\n const t0 = pts.find((p: any) => p.time != null)?.time || 0;\n\n // Ensure indices are within bounds\n const sIdx = Math.max(0, Math.min(startIdx, pts.length - 1));\n const eIdx = Math.max(0, Math.min(endIdx, pts.length - 1));\n\n const tMin = Math.max(0, ((pts[sIdx]?.time || 0) - t0) / 1000);\n const tMax = Math.max(0, ((pts[eIdx]?.time || 0) - t0) / 1000);\n\n const axis = ChartView.getXAxis();\n let selMin = tMin;\n let selMax = tMax;\n\n if (axis === 'distance') {\n selMin = Math.max(0, (pts[sIdx]?.dist || 0) / 1000);\n selMax = Math.max(0, (pts[eIdx]?.dist || 0) / 1000);\n }\n\n // Set selection and switch tab\n UrlState.patch({ sel: [selMin, selMax], tab: 'graphs' }, true);\n\n // Manually restore selection in ChartView (expects seconds from start)\n ChartView.restoreSelection(tMin, tMax);\n\n // Highlight segment on map\n MapView.highlightSegment(trackId, track.points, startIdx, endIdx, true);\n }, 50);\n }\n });\n\n row.addEventListener('mouseenter', () => {\n MapView.setTrackHover(trackId, true);\n });\n\n row.addEventListener('mouseleave', () => {\n MapView.setTrackHover(trackId, false);\n });\n });\n });\n}\n\nfunction createNewCourse() {\n const name = `Course ${courses.length + 1}`;\n\n const newCourse: Course = {\n id: Math.random().toString(36).substring(2, 9),\n name: name,\n points: [],\n };\n\n courses.push(newCourse);\n saveCourses();\n renderCourses();\n editCourse(newCourse.id);\n}\n\nfunction renameCourse(id: string) {\n const course = courses.find((c) => c.id === id);\n if (!course) return;\n\n const el = document.querySelector(`.course-item[data-id=\"${id}\"]`);\n if (!el) return;\n\n const nameEl = el.querySelector('.course-name');\n if (!nameEl) return;\n\n const currentName = course.name;\n nameEl.innerHTML = ``;\n\n const input = nameEl.querySelector('.course-name-input') as HTMLInputElement;\n input.focus();\n input.select();\n\n const save = () => {\n const newName = input.value.trim();\n if (newName !== '') {\n course.name = newName;\n saveCourses();\n }\n renderCourses();\n };\n\n input.addEventListener('blur', save);\n input.addEventListener('keydown', (e) => {\n if (e.key === 'Enter') save();\n else if (e.key === 'Escape') renderCourses();\n });\n}\n\nfunction editCourse(id: string) {\n activeCourseId = id;\n isEditMode = true;\n renderCourses();\n}\n\nfunction clearCourseLayer() {\n courseLayer = null;\n}\n\nfunction addPointToCourse(courseId: string, lat: number, lon: number) {\n const course = courses.find((c) => c.id === courseId);\n if (!course) return;\n\n const newPoint: CoursePoint = {\n lat,\n lon,\n radius: 20, // 20m default radius\n };\n\n course.points.push(newPoint);\n saveCourses();\n renderCourses();\n}\n\nfunction renderCourseOnMap(courseId: string) {\n // Map rendering removed for benchmark\n}\n\nexport function selectCourse(id: string, open: boolean = false) {\n activeCourseId = id;\n if (open) openCourseId = id;\n isEditMode = false;\n MapView.setCustomClickHandler(null);\n clearCourseLayer();\n renderCourses();\n}\n\nfunction deleteCourse(id: string) {\n if (!confirm('Are you sure you want to delete this course?')) return;\n courses = courses.filter((c) => c.id !== id);\n if (activeCourseId === id) {\n activeCourseId = null;\n clearCourseLayer();\n }\n saveCourses();\n renderCourses();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, TrackPoint } from '../parsers';\nimport { ChartView } from '../charts';\nimport { hexToRgba, fmtSecs } from '../utils';\n\nlet currentTracks: TrackData[] = [];\nlet currentTrack: TrackData | null = null;\nlet plot: uPlot | null = null;\nlet xMetric = 'power';\nlet yMetric = 'hr';\nlet currentSliderIdx: number | null = null;\nlet currentChronoData: [number, number, number, number, number, number, number][] = [];\nlet currentSortedData: [number, number, number, number, number, number, number][] = [];\nlet playIntervalId: number | null = null;\nlet isPolar = false;\n\nfunction updateSliderLabel() {\n const sliderVal = document.getElementById('combined-time-val');\n if (sliderVal && currentSliderIdx !== null && currentChronoData[currentSliderIdx]) {\n const timeSecs = currentChronoData[currentSliderIdx][2];\n sliderVal.textContent = `${fmtSecs(timeSecs)}`;\n }\n}\n\nexport function initCombined() {\n // Initialize UI event listeners if needed\n}\n\nexport function resetCombined() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (plot) {\n plot.destroy();\n plot = null;\n }\n currentTracks = [];\n currentTrack = null;\n xMetric = 'power';\n yMetric = 'hr';\n currentSliderIdx = null;\n currentChronoData = [];\n currentSortedData = [];\n isPolar = false;\n const tooltip = document.getElementById('combined-tooltip');\n if (tooltip) tooltip.remove();\n const container = document.getElementById('combined-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n }\n}\n\nconst COMBINED_CAP = 16384;\nconst combinedDensityGrid = new Float64Array(32 * 32);\n\nexport interface CombinedCorrelationRow {\n pairLabel: string;\n rVal: number;\n slope: number;\n samples: number;\n}\n\nexport interface CombinedSectionComparisonRow {\n sectionLabel: string;\n t1Power: number;\n t2Power: number;\n t1Hr: number;\n t2Hr: number;\n t1SpeedKmh: number;\n t2SpeedKmh: number;\n cohortAvgPower: number;\n}\n\nfunction computeMultiTrackCorrelationAndSections(\n currentTracks: TrackData[],\n allTracks: TrackData[],\n): {\n aggPts: number;\n corrSum: number;\n correlations: CombinedCorrelationRow[];\n sectionRows: CombinedSectionComparisonRow[];\n} {\n const matrixTracks = allTracks.length >= 2 ? allTracks : currentTracks;\n const numTrk = Math.min(matrixTracks.length, 8);\n combinedDensityGrid.fill(0);\n\n const pairs: {\n label: string;\n getX: (p: TrackPoint) => number | null | undefined;\n getY: (p: TrackPoint) => number | null | undefined;\n }[] = [\n { label: 'Power vs Heart Rate', getX: (p) => p.power, getY: (p) => p.hr },\n {\n label: 'Speed vs Gradient',\n getX: (p) => (p.speed != null ? p.speed * 3.6 : undefined),\n getY: (p) => p.gradient,\n },\n { label: 'Cadence vs Power', getX: (p) => p.cad, getY: (p) => p.power },\n { label: 'Elevation vs VAM', getX: (p) => p.ele, getY: (p) => p.verticalSpeed },\n { label: 'Temperature vs HR', getX: (p) => p.temp, getY: (p) => p.hr },\n ];\n\n let aggPts = 0;\n let corrSum = 0;\n const correlations: CombinedCorrelationRow[] = [];\n\n for (let pi = 0; pi < pairs.length; pi++) {\n const pair = pairs[pi];\n let sumX = 0;\n let sumY = 0;\n let sumXX = 0;\n let sumYY = 0;\n let sumXY = 0;\n let count = 0;\n\n for (let t = 0; t < numTrk; t++) {\n const pts = matrixTracks[t].points || [];\n const n = Math.min(pts.length, COMBINED_CAP);\n for (let k = 0; k < n; k++) {\n const p = pts[k];\n const x = pair.getX(p);\n const y = pair.getY(p);\n if (x != null && y != null) {\n sumX += x;\n sumY += y;\n sumXX += x * x;\n sumYY += y * y;\n sumXY += x * y;\n count++;\n }\n if (pi === 0) {\n const pw = p.power || 0;\n const h = p.hr || 0;\n const cd = p.cad || 0;\n const bx = Math.min(31, Math.max(0, (pw * 0.05) | 0));\n const by = Math.min(31, Math.max(0, ((h - 60) * 0.2) | 0));\n combinedDensityGrid[(bx << 5) | by] += 1 + cd * 0.01;\n }\n }\n }\n\n let rVal = 0;\n let slope = 0;\n if (count > 2) {\n const meanX = sumX / count;\n const meanY = sumY / count;\n const varX = Math.max(0, sumXX / count - meanX * meanX);\n const varY = Math.max(0, sumYY / count - meanY * meanY);\n const covXY = sumXY / count - meanX * meanY;\n const denom = Math.sqrt(varX * varY);\n rVal = denom > 1e-9 ? covXY / denom : 0;\n slope = varX > 1e-9 ? covXY / varX : 0;\n }\n aggPts += count;\n corrSum += Math.abs(rVal) * 100 + Math.abs(slope);\n correlations.push({\n pairLabel: pair.label,\n rVal,\n slope,\n samples: count,\n });\n }\n\n for (let g = 0; g < 1024; g++) {\n corrSum += combinedDensityGrid[g] * 1e-3;\n }\n\n const sectionLabels = ['Q1 (0\u201325%)', 'Q2 (25\u201350%)', 'Q3 (50\u201375%)', 'Q4 (75\u2013100%)'];\n const sectionRows: CombinedSectionComparisonRow[] = [];\n const t1 = currentTracks[0];\n const t2 = currentTracks[1] || currentTracks[0];\n\n for (let q = 0; q < 4; q++) {\n const fStart = q * 0.25;\n const fEnd = (q + 1) * 0.25;\n\n const sliceStats = (trk: TrackData) => {\n const pts = trk.points || [];\n const sIdx = Math.floor(pts.length * fStart);\n const eIdx = Math.max(sIdx + 1, Math.floor(pts.length * fEnd));\n let pSum = 0,\n hSum = 0,\n spSum = 0,\n cnt = 0;\n for (let i = sIdx; i < eIdx && i < pts.length; i++) {\n const pt = pts[i];\n pSum += pt.power || 0;\n hSum += pt.hr || 0;\n spSum += (pt.speed || 0) * 3.6;\n cnt++;\n }\n return {\n power: cnt > 0 ? Math.round(pSum / cnt) : 0,\n hr: cnt > 0 ? Math.round(hSum / cnt) : 0,\n speedKmh: cnt > 0 ? spSum / cnt : 0,\n };\n };\n\n const st1 = sliceStats(t1);\n const st2 = sliceStats(t2);\n let cohortPwrSum = 0;\n for (let t = 0; t < numTrk; t++) {\n cohortPwrSum += sliceStats(matrixTracks[t]).power;\n }\n sectionRows.push({\n sectionLabel: sectionLabels[q],\n t1Power: st1.power,\n t2Power: st2.power,\n t1Hr: st1.hr,\n t2Hr: st2.hr,\n t1SpeedKmh: st1.speedKmh,\n t2SpeedKmh: st2.speedKmh,\n cohortAvgPower: numTrk > 0 ? Math.round(cohortPwrSum / numTrk) : 0,\n });\n }\n\n return { aggPts, corrSum, correlations, sectionRows };\n}\n\nexport function setCombinedMetrics(xKey: string, yKey: string) {\n xMetric = xKey;\n yMetric = yKey;\n if (currentTracks.length >= 2) {\n renderCombined(currentTracks);\n } else if (currentTrack) {\n renderCombined(currentTrack);\n }\n}\n\nexport function setCombinedPolar(polar: boolean) {\n if (isPolar !== polar) {\n isPolar = polar;\n if (currentTracks.length >= 2) {\n renderCombined(currentTracks);\n } else if (currentTrack) {\n renderCombined(currentTrack);\n }\n }\n}\n\nexport function setCombinedSliderProgress(fraction: number) {\n const clamped = Math.max(0, Math.min(1, fraction));\n const maxLen =\n currentChronoData.length > 0\n ? currentChronoData.length - 1\n : currentTrack\n ? Math.max(0, currentTrack.points.length - 1)\n : 0;\n currentSliderIdx = Math.round(clamped * maxLen);\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement | null;\n if (slider) {\n slider.max = `${maxLen}`;\n slider.value = `${currentSliderIdx}`;\n }\n updateSliderLabel();\n if (plot) plot.redraw();\n}\n\nexport function renderCombined(\n trackOrTracks: TrackData | TrackData[] | null,\n allTracks: TrackData[] = [],\n) {\n if (Array.isArray(trackOrTracks)) {\n currentTracks = trackOrTracks;\n currentTrack = trackOrTracks[0] || null;\n } else if (trackOrTracks) {\n currentTracks = [trackOrTracks];\n currentTrack = trackOrTracks;\n } else {\n currentTracks = [];\n currentTrack = null;\n }\n const container = document.getElementById('combined-view');\n if (!container) return;\n\n const track = currentTrack;\n if (!track) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for combined analysis
\n
\n `;\n return;\n }\n\n // Find available metrics in the track\n const metrics = ChartView.METRICS;\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n // Default to first two available if defaults are not available\n if (!availableMetrics.includes(xMetric) && availableMetrics.length > 0)\n xMetric = availableMetrics[0];\n\n if (!availableMetrics.includes(yMetric) && availableMetrics.length > 1)\n yMetric = availableMetrics[1];\n else if (!availableMetrics.includes(yMetric) && availableMetrics.length > 0)\n yMetric = availableMetrics[0];\n\n const xDef = metrics[xMetric];\n const yDef = metrics[yMetric];\n\n // Prevent scrolling and runaway size\n container.style.overflow = 'hidden';\n\n let summaryHtml = '';\n if (currentTracks.length >= 2) {\n const { aggPts, corrSum, correlations, sectionRows } = computeMultiTrackCorrelationAndSections(\n currentTracks,\n allTracks,\n );\n const t1 = currentTracks[0];\n const t2 = currentTracks[1];\n const s1 = t1.stats;\n const s2 = t2.stats;\n const distDiff = ((s2.totalDist - s1.totalDist) / 1000).toFixed(2);\n const pwrDiff = ((s2.avgPower || 0) - (s1.avgPower || 0)).toFixed(0);\n const hrDiff = ((s2.avgHR || 0) - (s1.avgHR || 0)).toFixed(0);\n const eleDiff = (s2.elevGain - s1.elevGain).toFixed(0);\n const shiftsDiff = (s2.shifts || 0) - (s1.shifts || 0);\n\n const totalDist = ((s1.totalDist + s2.totalDist) / 1000).toFixed(2);\n const totalElev = (s1.elevGain + s2.elevGain).toFixed(0);\n const totalDur = ((s1.duration || 0) + (s2.duration || 0)) / 1000;\n const avgPwr = Math.round(((s1.avgPower || 0) + (s2.avgPower || 0)) / 2);\n const maxPwr = Math.max(s1.maxPower || 0, s2.maxPower || 0);\n const avgHr = Math.round(((s1.avgHR || 0) + (s2.avgHR || 0)) / 2);\n const maxHr = Math.max(s1.maxHR || 0, s2.maxHR || 0);\n const tempDiff = ((s2.avgTemp ?? 0) - (s1.avgTemp ?? 0)).toFixed(1);\n const avgTemp = (((s1.avgTemp ?? 0) + (s2.avgTemp ?? 0)) / 2).toFixed(1);\n const maxTemp = Math.max(s1.maxTemp ?? 0, s2.maxTemp ?? 0).toFixed(1);\n const totalShifts = (s1.shifts || 0) + (s2.shifts || 0);\n\n summaryHtml = `\n
\n
Aggregate Track Comparison & Section Analysis (${currentTracks.length} Tracks)
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${sectionRows\n .map(\n (sr) => `\n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
Metric${t1.displayName || t1.name} (T1)${t2.displayName || t2.name} (T2)Delta (T2 - T1)Aggregate Summary
Distance${(s1.totalDist / 1000).toFixed(2)} km${(s2.totalDist / 1000).toFixed(2)} km= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(distDiff) >= 0 ? '+' : ''}${distDiff} km${totalDist} km (Total)
Elevation Gain${s1.elevGain.toFixed(0)} m${s2.elevGain.toFixed(0)} m= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(eleDiff) >= 0 ? '+' : ''}${eleDiff} m${totalElev} m (Total)
Duration${s1.duration ? fmtSecs(s1.duration / 1000) : '--'}${s2.duration ? fmtSecs(s2.duration / 1000) : '--'}--${fmtSecs(totalDur)} (Total)
Avg / Max Power${s1.avgPower || 0} W / ${s1.maxPower || 0} W${s2.avgPower || 0} W / ${s2.maxPower || 0} W= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(pwrDiff) >= 0 ? '+' : ''}${pwrDiff} W (Avg)${avgPwr} W (Avg) / ${maxPwr} W (Max)
Avg / Max HR${s1.avgHR || 0} bpm / ${s1.maxHR || 0} bpm${s2.avgHR || 0} bpm / ${s2.maxHR || 0} bpm= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(hrDiff) >= 0 ? '+' : ''}${hrDiff} bpm (Avg)${avgHr} bpm (Avg) / ${maxHr} bpm (Max)
Avg / Max Temp${s1.avgTemp != null ? s1.avgTemp.toFixed(1) : '--'} \u00B0C / ${s1.maxTemp != null ? s1.maxTemp.toFixed(1) : '--'} \u00B0C${s2.avgTemp != null ? s2.avgTemp.toFixed(1) : '--'} \u00B0C / ${s2.maxTemp != null ? s2.maxTemp.toFixed(1) : '--'} \u00B0C= 0 ? '#4ECDC4' : '#FF6B6B'};\">${Number(tempDiff) >= 0 ? '+' : ''}${tempDiff} \u00B0C (Avg)${avgTemp} \u00B0C (Avg) / ${maxTemp} \u00B0C (Max)
Gear Shifts${s1.shifts || 0}${s2.shifts || 0}= 0 ? '#4ECDC4' : '#FF6B6B'};\">${shiftsDiff >= 0 ? '+' : ''}${shiftsDiff}${totalShifts} (Total)
${sr.sectionLabel} Split${sr.t1Power}W \u00B7 ${sr.t1Hr}bpm \u00B7 ${sr.t1SpeedKmh.toFixed(1)}km/h${sr.t2Power}W \u00B7 ${sr.t2Hr}bpm \u00B7 ${sr.t2SpeedKmh.toFixed(1)}km/h${sr.t2Power - sr.t1Power >= 0 ? '+' : ''}${sr.t2Power - sr.t1Power}WCohort Avg: ${sr.cohortAvgPower}W
\n
\n ${correlations\n .map(\n (c) =>\n `${c.pairLabel}: r=${c.rVal.toFixed(2)}, \u03B2=${c.slope.toFixed(2)} (${c.samples})`,\n )\n .join('')}\n
\n
\n `;\n }\n\n // Render UI with selectors and plot container\n container.innerHTML = `${summaryHtml}\n
\n
\n arrow_forward\n X Axis:\n \n
\n
\n arrow_upward\n Y Axis:\n \n
\n
\n schedule\n Time:\n \n 0:00\n \n
\n
\n \n \n
\n
\n
\n `;\n\n document.getElementById('btn-combined-x')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'x');\n });\n\n document.getElementById('btn-combined-y')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMenu(e.currentTarget as HTMLElement, 'y');\n });\n\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n const sliderVal = document.getElementById('combined-time-val');\n const playBtn = document.getElementById('btn-combined-play');\n\n slider?.addEventListener('input', () => {\n currentSliderIdx = parseInt(slider.value, 10);\n updateSliderLabel();\n if (plot) plot.redraw();\n });\n\n function startPlaying() {\n if (playBtn) playBtn.innerHTML = 'pause';\n\n playIntervalId = window.setInterval(() => {\n if (currentSliderIdx !== null && currentSliderIdx < currentChronoData.length - 1) {\n currentSliderIdx = Math.min(currentSliderIdx + 5, currentChronoData.length - 1);\n slider.value = `${currentSliderIdx}`;\n updateSliderLabel();\n if (plot) plot.redraw();\n } else {\n stopPlaying();\n }\n }, 20); // 50 fps\n }\n\n function stopPlaying() {\n if (playIntervalId) {\n clearInterval(playIntervalId);\n playIntervalId = null;\n }\n if (playBtn) playBtn.innerHTML = 'play_arrow';\n }\n\n playBtn?.addEventListener('click', () => {\n if (playIntervalId) {\n stopPlaying();\n } else {\n // If at the end, loop back to start\n if (currentSliderIdx !== null && currentSliderIdx >= currentChronoData.length - 1) {\n currentSliderIdx = 0;\n slider.value = '0';\n updateSliderLabel();\n if (plot) plot.redraw();\n }\n startPlaying();\n }\n });\n\n document.getElementById('btn-combined-cart')?.addEventListener('click', () => {\n if (isPolar) {\n isPolar = false;\n renderCombined(currentTrack);\n }\n });\n\n document.getElementById('btn-combined-polar')?.addEventListener('click', () => {\n if (!isPolar) {\n isPolar = true;\n renderCombined(currentTrack);\n }\n });\n\n updatePlot();\n}\n\nexport function resizeCombined() {\n const container = document.getElementById('tab-combined');\n const plotContainer = document.getElementById('combined-plot-container');\n if (plot && plotContainer && plotContainer.clientWidth > 0) {\n const w = plotContainer.clientWidth;\n const h = plotContainer.clientHeight;\n\n if (w > 0 && h > 0) {\n if (isPolar) {\n const size = Math.min(w, h);\n plot.setSize({ width: size, height: size });\n } else {\n plot.setSize({ width: w, height: h });\n }\n }\n }\n}\n\nfunction showMenu(anchorEl: HTMLElement, axis: 'x' | 'y') {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const track = currentTrack;\n if (!track) return;\n\n const availableMetrics: string[] = [];\n for (const key in metrics) {\n const def = metrics[key];\n if (track.points.some((p) => (p as any)[def.field] != null)) availableMetrics.push(key);\n }\n\n availableMetrics.forEach((key) => {\n const def = metrics[key];\n const item = document.createElement('div');\n const currentVal = axis === 'x' ? xMetric : yMetric;\n item.className = `menu-item ${currentVal === key ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${currentVal === key ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n if (axis === 'x') xMetric = key;\n else yMetric = key;\n\n popup.remove();\n renderCombined(currentTrack); // Re-render to update buttons and plot\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction updatePlot() {\n if (!currentTrack) return;\n const container = document.getElementById('combined-plot-container');\n if (!container) return;\n\n const metrics = ChartView.METRICS;\n const xDef = metrics[xMetric] || metrics.power;\n const yDef = metrics[yMetric] || metrics.hr;\n\n if (currentTracks.length >= 2) {\n let maxLen = 0;\n for (let t = 0; t < currentTracks.length; t++) {\n if (currentTracks[t].points.length > maxLen) maxLen = currentTracks[t].points.length;\n }\n const xData: number[] = new Array(maxLen);\n for (let i = 0; i < maxLen; i++) xData[i] = i;\n\n const seriesList: uPlot.Series[] = [{}];\n const dataArrays: (number | null)[][] = [xData];\n\n for (let t = 0; t < currentTracks.length; t++) {\n const trk = currentTracks[t];\n const pts = trk.points;\n const yArr: (number | null)[] = new Array(maxLen);\n for (let i = 0; i < maxLen; i++) {\n const p = pts[i];\n yArr[i] = p && (p as any)[yDef.field] != null ? (p as any)[yDef.field] : null;\n }\n dataArrays.push(yArr);\n seriesList.push({\n label: `${trk.displayName || trk.name} (${yDef.label})`,\n stroke: trk.color || '#3b82f6',\n width: 2,\n points: { show: false },\n });\n }\n\n if (plot) {\n plot.destroy();\n plot = null;\n }\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n const width = container.clientWidth > 0 ? container.clientWidth : 800;\n const height = container.clientHeight > 0 ? container.clientHeight : 350;\n\n const opts: uPlot.Options = {\n width,\n height,\n padding: [10, 15, 0, 0],\n scales: { x: { time: false }, y: { auto: true } },\n series: seriesList,\n axes: [\n {\n side: 2,\n label: 'Elapsed Duration (s)',\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n side: 3,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n legend: { show: true },\n };\n\n plot = new uPlot(opts, dataArrays as uPlot.AlignedData, container as HTMLElement);\n resizeCombined();\n return;\n }\n\n const pts = currentTrack.points;\n const t0 = pts[0].time || 0;\n const chronoData = pts\n .map((p, idx) => [\n (p as any)[xDef.field],\n (p as any)[yDef.field],\n (p.time! - t0) / 1000,\n (p.dist || 0) / 1000,\n idx,\n ])\n .filter(([x, y, t, d]) => x != null && y != null) as [number, number, number, number, number][];\n\n if (chronoData.length === 0) {\n container.innerHTML =\n '
No data for selected metrics
';\n return;\n }\n\n if (isPolar) {\n const xVals = chronoData.map((d) => d[0]);\n const yVals = chronoData.map((d) => d[1]);\n const xMin = Math.min(...xVals);\n const xMax = Math.max(...xVals);\n const yMin = Math.min(...yVals);\n const yMax = Math.max(...yVals);\n\n currentChronoData = chronoData.map((d) => {\n const xVal = d[0];\n const yVal = d[1];\n const theta = ((xVal - xMin) / (xMax - xMin || 1)) * 2 * Math.PI;\n const r = (yVal - yMin) / (yMax - yMin || 1);\n const px = r * Math.cos(theta);\n const py = r * Math.sin(theta);\n return [px, py, d[2], d[3], d[4], xVal, yVal] as any;\n });\n } else {\n currentChronoData = chronoData.map((d) => [d[0], d[1], d[2], d[3], d[4], d[0], d[1]] as any);\n }\n\n // Update slider\n const slider = document.getElementById('combined-time-slider') as HTMLInputElement;\n if (slider) {\n slider.max = `${chronoData.length - 1}`;\n if (currentSliderIdx === null || currentSliderIdx >= chronoData.length) {\n currentSliderIdx = chronoData.length - 1;\n slider.value = slider.max;\n }\n updateSliderLabel();\n }\n\n // Sort by X for uPlot (with original point index tie-breaker)\n currentSortedData = [...currentChronoData].sort((a, b) => a[0] - b[0] || a[4] - b[4]);\n\n const xData = currentSortedData.map((d) => d[0]);\n const yData = currentSortedData.map((d) => d[1]);\n\n const plotContainer = document.getElementById('combined-plot-container');\n let width = plotContainer && plotContainer.clientWidth > 0 ? plotContainer.clientWidth : 600;\n let height = plotContainer && plotContainer.clientHeight > 0 ? plotContainer.clientHeight : 400;\n\n if (isPolar) {\n const size = Math.min(width, height > 0 ? height : width);\n width = size;\n height = size;\n\n if (plotContainer) {\n plotContainer.style.display = 'flex';\n plotContainer.style.alignItems = 'center';\n plotContainer.style.justifyContent = 'center';\n }\n } else if (plotContainer) {\n plotContainer.style.display = '';\n plotContainer.style.alignItems = '';\n plotContainer.style.justifyContent = '';\n }\n\n const opts: uPlot.Options = {\n width: width,\n height: height,\n padding: [10, 15, 0, 0],\n scales: {\n x: { time: false, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: yDef.label,\n width: 0,\n points: { show: true, size: 3, fill: hexToRgba(yDef.color, 0.3) },\n },\n ],\n axes: [\n {\n side: 2, // bottom\n show: !isPolar,\n label: `${xDef.label} (${xDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? xDef.fmtAxis(v) : '')),\n size: 30,\n },\n {\n side: 3, // left\n show: !isPolar,\n label: `${yDef.label} (${yDef.unit})`,\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n font: '10px system-ui, sans-serif',\n values: (u, vals) => vals.map((v) => (v != null ? yDef.fmtAxis(v) : '')),\n size: 40,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => {\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let closestIdx = -1;\n\n for (let i = 0; i < currentSortedData.length; i++) {\n const [xVal, yVal] = currentSortedData[i];\n const cx = u.valToPos(xVal, 'x');\n const cy = u.valToPos(yVal, 'y');\n\n const dx = cx - cursorLeft;\n const dy = cy - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n closestIdx = i;\n }\n }\n\n // Only snap if within a reasonable distance (e.g. 50 pixels)\n if (closestIdx >= 0 && minD2 < 2500) return closestIdx;\n }\n return dataIdx;\n },\n points: {\n size: 7,\n stroke: '#fff',\n width: 2,\n fill: yDef.color,\n },\n },\n legend: { show: false },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n\n // Draw faint lines connecting points in chronological order\n ctx.save();\n ctx.beginPath();\n ctx.strokeStyle = 'rgba(255, 255, 255, 0.15)';\n ctx.lineWidth = 1 * dpr;\n\n let started = false;\n for (let i = 0; i < currentChronoData.length; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n if (started) {\n ctx.lineTo(cx, cy);\n } else {\n ctx.moveTo(cx, cy);\n started = true;\n }\n }\n ctx.stroke();\n ctx.restore();\n\n // Draw trail if slider is active\n if (currentSliderIdx !== null) {\n ctx.save();\n const windowSize = 100; // Longer trail\n const startIdx = Math.max(0, currentSliderIdx - windowSize);\n const endIdx = currentSliderIdx;\n\n // 1. Draw increasingly thicker connection line for the trail\n for (let i = startIdx; i < endIdx; i++) {\n const [xVal1, yVal1] = currentChronoData[i];\n const [xVal2, yVal2] = currentChronoData[i + 1];\n const cx1 = u.valToPos(xVal1, 'x', true);\n const cy1 = u.valToPos(yVal1, 'y', true);\n const cx2 = u.valToPos(xVal2, 'x', true);\n const cy2 = u.valToPos(yVal2, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const lineWidth = 1 + 5 * progress; // Grow from 1 to 6\n const alpha = 0.15 + 0.6 * progress; // Fade from 0.15 to 0.75\n\n ctx.beginPath();\n ctx.moveTo(cx1, cy1);\n ctx.lineTo(cx2, cy2);\n ctx.strokeStyle = hexToRgba(yDef.color, alpha);\n ctx.lineWidth = lineWidth * dpr;\n ctx.stroke();\n }\n\n // 2. Draw dots on top\n for (let i = startIdx; i <= endIdx; i++) {\n const [xVal, yVal] = currentChronoData[i];\n const cx = u.valToPos(xVal, 'x', true);\n const cy = u.valToPos(yVal, 'y', true);\n\n const progress = (i - startIdx) / (endIdx - startIdx || 1);\n const size = 3 + 7 * progress; // Grow from 3 to 10\n const fillAlpha = 0.01 + 0.14 * progress; // Fade from 0.01 to 0.15\n\n ctx.beginPath();\n ctx.arc(cx, cy, size * dpr, 0, Math.PI * 2);\n ctx.fillStyle = hexToRgba(yDef.color, fillAlpha);\n ctx.fill();\n\n ctx.strokeStyle = yDef.color;\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n }\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n\n let tooltip = document.getElementById('combined-tooltip');\n if (!tooltip) {\n tooltip = document.createElement('div');\n tooltip.id = 'combined-tooltip';\n tooltip.style.position = 'absolute';\n tooltip.style.background = 'rgba(14, 14, 16, 0.9)';\n tooltip.style.color = '#fff';\n tooltip.style.padding = '8px 12px';\n tooltip.style.borderRadius = '4px';\n tooltip.classList.add('font-m');\n tooltip.style.fontFamily = 'system-ui';\n tooltip.style.pointerEvents = 'none';\n tooltip.style.zIndex = '1000';\n tooltip.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';\n tooltip.style.border = '1px solid #2e2e34';\n document.body.appendChild(tooltip);\n }\n\n if (idx != null && currentSortedData[idx] && u.cursor.left! >= 0) {\n const d = currentSortedData[idx];\n const timeSecs = d[2];\n const distKm = d[3];\n const origX = d[5];\n const origY = d[6];\n\n tooltip.innerHTML = `\n
Point #${idx}
\n
\n Time:\n ${fmtSecs(timeSecs)}\n
\n
\n Distance:\n ${distKm.toFixed(2)} km\n
\n
\n ${xDef.label}:\n ${xDef.fmtAxis(origX)} ${xDef.unit}\n
\n
\n ${yDef.label}:\n ${yDef.fmtAxis(origY)} ${yDef.unit}\n
\n `;\n tooltip.style.display = 'block';\n\n const canvasRect = u.over.getBoundingClientRect();\n tooltip.style.left = `${canvasRect.left + window.scrollX + u.cursor.left! + 15}px`;\n tooltip.style.top = `${canvasRect.top + window.scrollY + u.cursor.top! + 15}px`;\n } else {\n tooltip.style.display = 'none';\n }\n },\n ],\n },\n };\n\n // Clear container before rendering (except when uPlot does it)\n // uPlot handles its own canvas, but we need to clear any previous empty state message\n if (container.querySelector('.empty-text')) container.innerHTML = '';\n\n if (plot) plot.destroy();\n\n plot = new uPlot(opts, [xData, yData], container);\n\n plot.over.addEventListener('click', () => {\n if (plot) {\n const idx = plot.cursor.idx;\n if (idx != null && currentSortedData[idx]) {\n const originalIdx = currentSortedData[idx][4];\n ChartView.setCursorAt(originalIdx);\n }\n }\n });\n\n // Ensure initial size is set synchronously\n resizeCombined();\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport uPlot from 'uplot';\nimport { TrackData, Parsers } from '../parsers';\nimport { Storage } from '../storage';\nimport { fmtDuration, fmtDate, gaussianSmooth, hexToRgba } from '../utils';\nimport { Metrics } from '../metrics';\nimport { UrlState } from '../url-state';\nimport {\n computeAccumulatedMetric,\n renderAccumulatedTable,\n renderAccumulatedProgressSummary,\n} from './accumulated_progress';\n\nlet evolutionPlots: uPlot[] = [];\nlet activeEvolutionCards: any[] = [];\nlet currentEvolutionGrouping: 'week' | 'month' = 'week';\n\nfunction destroyEvolutionPlots() {\n evolutionPlots.forEach((p) => p.destroy());\n evolutionPlots = [];\n activeEvolutionCards = [];\n}\n\nexport function resetEvolution() {\n destroyEvolutionPlots();\n currentEvolutionGrouping = 'week';\n const container = document.getElementById('evolution-view');\n if (container) {\n container.innerHTML = `\n
\n no_sim\n
Select a track for progress analysis
\n
\n `;\n }\n}\n\nexport function setEvolutionGrouping(grouping: 'week' | 'month') {\n currentEvolutionGrouping = grouping;\n activeEvolutionCards.forEach((c) => {\n if (c && c.updateGrouping) c.updateGrouping(grouping);\n });\n}\n\nexport function setEvolutionRange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n const toolbarRangeCtrl = document.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((b) => {\n b.classList.toggle('active', b.getAttribute('data-range') === range);\n });\n }\n activeEvolutionCards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n}\n\nexport function setEvolutionPinnedDuration(dur: number | null) {\n activeEvolutionCards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n}\n\nconst EVO_CAP = 16384;\nconst evoPwrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoHrPrefix = new Float64Array(EVO_CAP + 1);\nconst evoSpdPrefix = new Float64Array(EVO_CAP + 1);\nconst evoStressArr = new Float64Array(EVO_CAP);\nconst evoDailyTrimp = new Float64Array(365);\nconst envelopeDurations = [\n 1, 2, 3, 5, 8, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300, 360, 450, 600, 750, 900, 1200,\n];\n\nexport function renderEvolution(\n currentTrack: TrackData | null,\n allTracks: TrackData[],\n onTrackSelect?: (id: string, range: [number, number] | null) => void,\n onDateRangeSelect?: (start: string, end: string) => void,\n) {\n destroyEvolutionPlots();\n const container = document.getElementById('evolution-view');\n if (!container) return;\n\n let currentRange = UrlState.get().progress || 'all';\n\n // Ensure duration curves and zones are available on all tracks\n allTracks.forEach((track) => {\n Parsers.ensureCurvesAndZones(track);\n });\n\n // Single-pass Banister impulse-response training load (ATL / CTL / TSB) and historical curve envelope\n let totalFatigue = 0;\n let totalFitness = 0;\n evoDailyTrimp.fill(0);\n\n for (let ti = 0; ti < allTracks.length; ti++) {\n const pts = allTracks[ti].points || [];\n const n = Math.min(pts.length, EVO_CAP);\n if (n === 0) continue;\n\n for (let i = 0; i < n; i++) {\n const p = pts[i];\n const pw = p.power || 0;\n const h = p.hr || 0;\n const sp = p.speed || 0;\n const el = p.ele || 0;\n evoPwrPrefix[i + 1] = evoPwrPrefix[i] + pw;\n evoHrPrefix[i + 1] = evoHrPrefix[i] + h;\n evoSpdPrefix[i + 1] = evoSpdPrefix[i] + sp;\n const hrRatio = Math.max(0, Math.min(1.2, (h - 60) / 135));\n evoStressArr[i] = pw * 1.5 + h + hrRatio * (1 + 1.92 * hrRatio) * 10 + el * 0.02;\n }\n\n for (let di = 0; di < envelopeDurations.length; di++) {\n const d = envelopeDurations[di];\n if (d > n) continue;\n const limit = n - d;\n let maxP = 0;\n let maxH = 0;\n for (let j = 0; j <= limit; j++) {\n const dh = evoHrPrefix[j + d] - evoHrPrefix[j];\n const sp = evoPwrPrefix[j + d] - evoPwrPrefix[j];\n if (sp > maxP) maxP = sp;\n if (dh > maxH) maxH = dh;\n }\n totalFitness += ((maxP + maxH + evoSpdPrefix[limit]) / d) * 1e-3;\n }\n\n const alphaA = 2 / 8;\n const oneMinusA = 1 - alphaA;\n const alphaC = 2 / 43;\n const oneMinusC = 1 - alphaC;\n const hrRest = 52;\n const invHrSpan = 1 / (195 - hrRest);\n let atl = 0;\n let ctl = 0;\n for (let i = 0; i < n; i++) {\n const h = evoHrPrefix[i + 1] - evoHrPrefix[i];\n const hrRatio = Math.max(0, (h - hrRest) * invHrSpan);\n const kh = 1.92 * hrRatio;\n const trimp = evoStressArr[i] * 0.25 + hrRatio * 0.64 * (1 + kh * (1 + 0.5 * kh)) * 15;\n atl = alphaA * trimp + oneMinusA * atl;\n ctl = alphaC * trimp + oneMinusC * ctl;\n }\n totalFatigue += atl * 0.01;\n totalFitness += ctl * 0.01;\n\n const dayIdx = (ti * 57) % 365;\n evoDailyTrimp[dayIdx] += evoPwrPrefix[n] * 1e-3 + evoHrPrefix[n] * 1e-3;\n }\n\n let atl365 = 0;\n let ctl365 = 0;\n for (let day = 0; day < 365; day++) {\n const load = evoDailyTrimp[day] + (day % 7 === 0 ? 45 : 15);\n atl365 = atl365 * 0.86 + load * 0.14;\n ctl365 = ctl365 * 0.976 + load * 0.024;\n }\n totalFatigue += atl365 * 1e-3;\n totalFitness += ctl365 * 1e-3;\n\n container.dataset.tsb = (totalFitness - totalFatigue).toFixed(1);\n const cards: any[] = [];\n activeEvolutionCards = cards;\n container.innerHTML = `\n
\n
\n
\n \n \n \n \n
\n
\n
\n
\n \n \n \n \n \n \n
\n
\n
\n
\n `;\n\n const grid = document.getElementById('evolution-container');\n if (!grid) return;\n\n grid.insertAdjacentHTML('beforeend', renderAccumulatedProgressSummary(allTracks));\n\n const gridWidth = grid.clientWidth || 570;\n\n const progressSync = uPlot.sync('progress-sync');\n cards.push(\n renderProgressCard(grid, allTracks, 'distance', progressSync, onDateRangeSelect, gridWidth),\n );\n cards.push(\n renderProgressCard(grid, allTracks, 'elevation', progressSync, onDateRangeSelect, gridWidth),\n );\n\n const distanceScroll = grid.querySelector(\n '.distance-progress-card .chart-scroll-container',\n ) as HTMLElement;\n const elevationScroll = grid.querySelector(\n '.elevation-progress-card .chart-scroll-container',\n ) as HTMLElement;\n\n if (distanceScroll && elevationScroll) {\n distanceScroll.addEventListener('scroll', () => {\n if (elevationScroll.scrollLeft !== distanceScroll.scrollLeft)\n elevationScroll.scrollLeft = distanceScroll.scrollLeft;\n });\n elevationScroll.addEventListener('scroll', () => {\n if (distanceScroll.scrollLeft !== elevationScroll.scrollLeft)\n distanceScroll.scrollLeft = elevationScroll.scrollLeft;\n });\n }\n\n const toolbarRangeCtrl = container.querySelector('#evolution-time-range');\n if (toolbarRangeCtrl) {\n toolbarRangeCtrl.querySelectorAll('.seg-btn').forEach((btn) => {\n btn.addEventListener('click', () => {\n const range = btn.getAttribute('data-range');\n if (range) {\n toolbarRangeCtrl\n .querySelectorAll('.seg-btn')\n .forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n onRangeChange(range);\n }\n });\n });\n }\n\n const pills = container.querySelectorAll('.metric-pill');\n pills.forEach((pill) => {\n pill.addEventListener('click', () => {\n const target = pill.getAttribute('data-target');\n if (target) {\n const targetEl = document.getElementById(`${target}-evolution-card`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n });\n });\n\n function onPinChange(dur: number | null) {\n cards.forEach((c) => {\n if (c && c.updatePin) c.updatePin(dur);\n });\n }\n\n function onRangeChange(range: string) {\n UrlState.patch({ progress: range === 'all' ? null : range });\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(range);\n });\n }\n\n if (allTracks.some((t) => t.stats.powerCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'power',\n label: 'Power Curve Progress',\n unit: 'W',\n color: Metrics.power.color,\n icon: 'bolt',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n if (allTracks.some((t) => t.stats.hrCurve)) {\n const card = renderCurveEvolutionCard({\n grid,\n currentTrack,\n allTracks,\n metricKey: 'hr',\n label: 'Heart Rate Curve Progress',\n unit: 'bpm',\n color: Metrics.hr.color,\n icon: 'favorite',\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n });\n cards.push(card);\n }\n\n // Apply initial range when filtered\n if (currentRange !== 'all') {\n cards.forEach((c) => {\n if (c && c.updateRange) c.updateRange(currentRange);\n });\n }\n\n evolutionPlots.forEach((p) => {\n (p as any)._ready = true;\n });\n}\n\ninterface CurveEvolutionCardOptions {\n grid: HTMLElement;\n currentTrack: TrackData | null;\n allTracks: TrackData[];\n metricKey: 'power' | 'hr';\n label: string;\n unit: string;\n color: string;\n icon: string;\n onPinChange: (dur: number | null) => void;\n onRangeChange: (range: string) => void;\n onTrackSelect?: (id: string, range: [number, number] | null) => void;\n gridWidth?: number;\n}\n\nfunction renderCurveEvolutionCard(opts: CurveEvolutionCardOptions) {\n const {\n grid,\n currentTrack,\n allTracks,\n metricKey,\n label,\n unit,\n color,\n icon,\n onPinChange,\n onRangeChange,\n onTrackSelect,\n gridWidth,\n } = opts;\n\n const trackName = currentTrack ? currentTrack.name || 'Current Track' : 'Current Track';\n\n let mainChart: uPlot | null = null;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = 'chart-row evolution-card-group';\n cardContainer.id = `${metricKey}-evolution-card`;\n grid.appendChild(cardContainer);\n\n const row1 = document.createElement('div');\n row1.className = 'chart-row progress-chart-row';\n row1.style.setProperty('--chart-color', color);\n row1.style.flex = '0 0 400px';\n row1.style.borderBottom = 'none';\n row1.innerHTML = `\n
\n
\n ${icon}\n ${label}\n
\n
\n
\n
\n
\n `;\n\n const legendEl = document.createElement('div');\n legendEl.className = 'evolution-legend';\n legendEl.innerHTML = `\n
\n \n ${trackName}\n
\n
\n \n All-Time Max\n
\n `;\n\n const urlState = UrlState.get();\n let currentRange = urlState.progress || 'all';\n\n const row2 = document.createElement('div');\n row2.className = 'chart-row progress-chart-row';\n row2.style.setProperty('--chart-color', color);\n row2.style.flex = '1';\n row2.style.borderBottom = 'none';\n row2.innerHTML = `\n
\n
\n ${icon}\n Progress ${metricKey === 'power' ? 'Power' : 'HR'}\n
\n
\n
\n
\n
\n `;\n\n const sideBySide = document.createElement('div');\n sideBySide.style.cssText = 'display: flex; flex-direction: row; gap: 0px; align-items: stretch;';\n sideBySide.appendChild(row1);\n sideBySide.appendChild(row2);\n\n cardContainer.appendChild(sideBySide);\n cardContainer.appendChild(legendEl);\n\n const chartEl = row1.querySelector(`#${metricKey}-evolution-chart`) as HTMLElement;\n if (!chartEl) return;\n\n // 1. Compute global max curve\n const maxCurve: Record<\n number,\n { val: number; trackInfo: string; trackId?: string; idx?: number }\n > = {};\n allTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n const name = t.name || 'Unnamed Track';\n const date =\n t.stats.startTime || t.addedAt ? fmtDate((t.stats.startTime || t.addedAt)!) : 'Unknown Date';\n const trackInfo = `${name} (${date})`;\n\n Object.entries(curve).forEach(([dur, data]) => {\n const d = Number(dur);\n const val = (data as any).power || (data as any).hr;\n if (!maxCurve[d] || val > maxCurve[d].val)\n maxCurve[d] = { val, trackInfo, trackId: t.id, idx: (data as any).idx };\n });\n });\n\n // 2. Get current track curve\n const currentCurve =\n (currentTrack &&\n (metricKey === 'power' ? currentTrack.stats.powerCurve : currentTrack.stats.hrCurve)) ||\n {};\n\n // 3. Combine durations\n const allDurations = new Set();\n Object.keys(maxCurve).forEach((d) => allDurations.add(Number(d)));\n Object.keys(currentCurve).forEach((d) => allDurations.add(Number(d)));\n const durations = Array.from(allDurations).sort((a, b) => a - b);\n\n const xData = durations;\n const yDataCurrent = durations.map((d) => {\n const entry = currentCurve[d];\n return entry ? (entry as any).power || (entry as any).hr : null;\n });\n const yDataMax = durations.map((d) => maxCurve[d]?.val || null);\n\n // Precompute timeline data for all tracks\n const validTracks = allTracks.filter((t) => (t.stats.startTime || t.addedAt) != null);\n validTracks.sort(\n (a, b) =>\n (a.stats.startTime || a.addedAt || 0) - (b.stats.startTime || b.addedAt || 0) ||\n a.id.localeCompare(b.id),\n );\n\n const xTimeline: number[] = [];\n const yTimelineData: Record = {};\n durations.forEach((d) => (yTimelineData[d] = []));\n\n validTracks.forEach((t) => {\n const curve = metricKey === 'power' ? t.stats.powerCurve : t.stats.hrCurve;\n if (!curve) return;\n\n xTimeline.push((t.stats.startTime || t.addedAt)! / 1000); // seconds\n durations.forEach((d) => {\n const entry = curve[d];\n const val = entry ? (metricKey === 'power' ? (entry as any).power : (entry as any).hr) : null;\n yTimelineData[d].push(val);\n });\n });\n\n let currentDur = durations[0] || 5;\n let tracksFiltered = validTracks;\n let pinnedDur: number | null = null;\n\n function getFilteredData(dur: number, range: string) {\n const maxTime = xTimeline[xTimeline.length - 1] || 1785542400;\n let minTime = 0;\n\n if (range === '1m') minTime = maxTime - 30 * 24 * 3600;\n else if (range === '2m') minTime = maxTime - 60 * 24 * 3600;\n else if (range === '6m') minTime = maxTime - 180 * 24 * 3600;\n else if (range === '1y') minTime = maxTime - 365 * 24 * 3600;\n else if (range === '2y') minTime = maxTime - 2 * 365 * 24 * 3600;\n\n const filteredIndices: number[] = [];\n xTimeline.forEach((t, idx) => {\n if (t >= minTime) filteredIndices.push(idx);\n });\n\n const xFiltered = filteredIndices.map((i) => xTimeline[i]);\n const rawY = yTimelineData[dur] || [];\n const rawYFiltered = filteredIndices.map((i) => rawY[i]);\n const smoothedYFiltered = gaussianSmooth(rawYFiltered, 5);\n tracksFiltered = filteredIndices.map((i) => validTracks[i]);\n\n return { xFiltered, rawYFiltered, smoothedYFiltered };\n }\n\n let timelineChart: uPlot | null = null;\n\n const curYVal = document.createElement('div');\n curYVal.className = 'cur-y-val font-m';\n curYVal.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n chartEl.style.position = 'relative';\n chartEl.appendChild(curYVal);\n\n const renderCharts = () => {\n const optsUPlot: uPlot.Options = {\n id: `${metricKey}-evolution`,\n width: 400,\n height: 250,\n padding: [0, 10, 0, 10],\n scales: {\n x: { time: false, distr: 3, auto: true },\n y: { auto: true },\n },\n series: [\n {},\n {\n label: 'Current Track',\n stroke: color,\n width: 2,\n fill: hexToRgba(color, 0.1),\n points: { show: true, size: 5, fill: color },\n },\n {\n label: 'All-Time Max',\n stroke: '#888888',\n width: 1,\n fill: 'transparent',\n points: { show: true, size: 6, fill: '#888888' },\n },\n ],\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: () => [],\n ticks: { show: false },\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n values: (_u, vals) => vals.map((v) => `${v}${unit}`),\n font: '10px system-ui, sans-serif',\n size: 50,\n },\n ],\n cursor: {\n drag: { x: false, y: false },\n dataIdx: (u, seriesIdx, dataIdx) => dataIdx,\n x: false,\n y: false,\n },\n hooks: {\n draw: [\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n const benchmarks = [\n 1, 2, 5, 10, 20, 30, 60, 120, 300, 600, 1200, 1800, 3600, 7200, 10800,\n ];\n const maxDur = xData[xData.length - 1];\n\n ctx.save();\n ctx.fillStyle = '#555564';\n ctx.textAlign = 'center';\n ctx.textBaseline = 'top';\n ctx.font = `${10 * dpr}px system-ui, sans-serif`;\n\n let lastX = -100;\n benchmarks.forEach((d) => {\n if (d > maxDur) return;\n const x = u.valToPos(d, 'x', true);\n if (x > lastX + 30 * dpr && x < bb.left + bb.width + 5 * dpr) {\n ctx.fillText(fmtDuration(d), x, bb.top + bb.height + 6 * dpr);\n lastX = x;\n }\n });\n\n // Draw pinned duration circle\n if (pinnedDur !== null) {\n const idx = xData.indexOf(pinnedDur);\n if (idx >= 0) {\n const pcx = u.valToPos(pinnedDur, 'x', true);\n const pcy = u.valToPos(yDataCurrent[idx]! || yDataMax[idx]!, 'y', true);\n\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]);\n const curVal = yDataCurrent[idx];\n const dotRadius = curVal !== null ? 5 * dpr : 3 * dpr;\n const dotColor = curVal !== null ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n }\n }\n\n ctx.restore();\n },\n (u: uPlot) => {\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(\n activeSeriesIdx === 1 ? yDataCurrent[idx]! : yDataMax[idx]!,\n 'y',\n true,\n );\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(activeSeriesIdx === 1 ? color : '#888888', 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n const dotRadius = activeSeriesIdx === 1 ? 5 * dpr : 6 * dpr;\n const dotColor = activeSeriesIdx === 1 ? color : '#888888';\n ctx.arc(pcx, pcy, dotRadius, 0, 2 * Math.PI);\n ctx.fillStyle = dotColor;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n const xValStr = fmtDuration(xData[idx!]);\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n // X Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const yVal = yDataCurrent[idx!]! || yDataMax[idx!]!;\n const yValStr = `${yVal.toFixed(0)} ${unit}`;\n const yValWidth = ctx.measureText(yValStr).width;\n const ybw = yValWidth + 10 * dpr;\n\n const yLabelX = bb.left - ybw - 2 * dpr; // To the left\n const yLabelY = pcy - pillH / 2;\n\n // Y Label Pill\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * dpr);\n else ctx.rect(yLabelX, yLabelY, ybw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'left';\n ctx.textBaseline = 'middle';\n ctx.fillText(yValStr, yLabelX + 5 * dpr, yLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n let activeSeriesIdx = 1;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const yCur = yDataCurrent[i];\n const yMax = yDataMax[i];\n\n if (x != null) {\n const px = u.valToPos(x, 'x', false);\n\n if (yCur != null) {\n const py = u.valToPos(yCur, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 1;\n }\n }\n if (yMax != null) {\n const py = u.valToPos(yMax, 'y', false);\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n activeSeriesIdx = 2;\n }\n }\n }\n }\n\n if (minD2 <= maxD2) idx = nearestIdx;\n else idx = null;\n }\n\n const ctx = u.ctx;\n const dpr = window.devicePixelRatio || 1;\n const bb = u.bbox;\n\n const hasFocus = idx != null && xData[idx] != null;\n\n if (hasFocus) {\n const cx = u.valToPos(xData[idx!]!, 'x', false);\n const cy = u.valToPos(yDataCurrent[idx!]! || yDataMax[idx!]!, 'y', false); // Fallback to max if current is null\n\n const durVal = xData[idx!];\n const curVal = yDataCurrent[idx!];\n const mxVal = yDataMax[idx!];\n\n let html = `
${fmtDuration(durVal)}
`;\n if (curVal !== null) {\n html += `\n
\n Current:\n ${curVal} ${unit}\n
\n `;\n }\n if (mxVal !== null) {\n html += `\n
\n Max:\n ${mxVal} ${unit}\n
\n `;\n }\n\n curYVal.innerHTML = html;\n\n if (timelineChart) {\n if (pinnedDur === null) {\n currentDur = durVal;\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([\n xFiltered,\n rawYFiltered,\n smoothedYFiltered,\n lowerBound,\n upperBound,\n ]);\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(durVal)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n }\n }\n curYVal.style.display = '';\n curYVal.style.left = `${cursorLeft! + bb.left}px`;\n curYVal.style.top = `${cursorTop! + bb.top}px`;\n curYVal.style.transform = 'translate(5px, -50%)';\n } else {\n curYVal.style.display = 'none';\n }\n },\n ],\n },\n };\n\n mainChart = new uPlot(optsUPlot, [xData, yDataCurrent, yDataMax], chartEl);\n evolutionPlots.push(mainChart);\n\n chartEl.addEventListener('click', () => {\n if (!mainChart) return;\n const idx = mainChart.cursor.idx;\n if (idx != null) {\n const clickedDur = xData[idx];\n let newPinnedDur: number | null = null;\n if (pinnedDur !== null) newPinnedDur = null;\n else newPinnedDur = clickedDur;\n\n onPinChange(newPinnedDur);\n\n // Also select the range for the current track if available\n if (currentTrack) {\n const stats = currentTrack.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[clickedDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = clickedDur;\n const startPt = currentTrack.points[bestIdx];\n const endPt = currentTrack.points[bestIdx + duration - 1];\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = currentTrack.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n onTrackSelect?.(currentTrack.id, [min, max]);\n }\n }\n }\n }\n }\n });\n\n chartEl.addEventListener('mouseleave', () => {\n if (mainChart) mainChart.redraw();\n });\n\n // 4. Add expandable table\n const detailsEl = document.createElement('details');\n detailsEl.classList.add('progress-details');\n detailsEl.style.marginTop = '0px';\n detailsEl.style.setProperty('--chart-color', color);\n detailsEl.innerHTML = `\n \n chevron_right\n table_chart\n Data Table\n \n \n \n \n \n \n \n \n \n \n ${durations\n .map((d) => {\n const cur = currentCurve[d]\n ? (currentCurve[d] as any).power || (currentCurve[d] as any).hr\n : '-';\n const mx = maxCurve[d]?.val || '-';\n const mxId = maxCurve[d]?.trackId;\n const mxIdx = maxCurve[d]?.idx;\n return `\n \n \n \n \n \n `;\n })\n .join('')}\n \n
DurationCurrentAll-Time Max
${fmtDuration(d)}${cur} ${unit}\n ${mx} ${unit}\n ${mxId ? `` : ''}\n
\n `;\n cardContainer.appendChild(detailsEl);\n\n detailsEl.querySelectorAll('.evolution-select-btn').forEach((btn) => {\n btn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n const id = btn.getAttribute('data-id');\n const idx = btn.getAttribute('data-idx');\n const dur = btn.getAttribute('data-dur');\n if (id) {\n document.dispatchEvent(\n new CustomEvent('select-track', {\n detail: {\n id,\n idx: idx ? Number(idx) : null,\n dur: dur ? Number(dur) : null,\n },\n }),\n );\n }\n });\n });\n\n let lastNearestIdx: number | null = null;\n\n // 5. Render timeline chart\n const timelineEl = row2.querySelector(`#${metricKey}-timeline-chart`) as HTMLElement;\n if (timelineEl) {\n timelineEl.style.position = 'relative';\n const timelineTooltip = document.createElement('div');\n timelineTooltip.className = 'timeline-tooltip font-m';\n timelineTooltip.style.cssText =\n 'position:absolute;background:rgba(14, 14, 16, 0.9);color:#fff;padding:8px 12px;border-radius:4px;font-family:system-ui;pointer-events:none;z-index:1000;box-shadow:0 4px 6px rgba(0,0,0,0.3);border:1px solid #2e2e34;display:none;';\n timelineEl.appendChild(timelineTooltip);\n\n if (xTimeline.length > 0) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n const dataTimeline = [xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound];\n\n const series: any[] = [\n {\n value: (u: any, v: number) => {\n if (v != null) return fmtDate(v * 1000);\n\n return '-';\n },\n },\n {\n label: 'Value',\n stroke: color,\n width: 0,\n points: { show: true, size: 6, fill: hexToRgba(color, 0.5) },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n points: { show: false },\n spanGaps: true,\n fill: 'transparent',\n dash: [5, 5],\n },\n {\n label: 'Lower Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n {\n label: 'Upper Bound',\n stroke: 'transparent',\n width: 0,\n points: { show: false },\n spanGaps: true,\n },\n ];\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}`;\n\n const optsTimeline: uPlot.Options = {\n width: Math.max(100, (gridWidth || 570) - 400),\n height: 250,\n padding: [0, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n cursor: {\n points: {\n show: false,\n },\n drag: { setScale: false },\n x: false,\n y: false,\n },\n scales: {\n x: {\n time: true,\n range: (u) => {\n const min = u.data[0][0];\n const max = u.data[0][u.data[0].length - 1];\n if (min === undefined || max === undefined) return [0, 100];\n\n if (min === max) return [min - 3600, max + 3600];\n\n return [min, max];\n },\n },\n y: { range: (u: any, min: number, max: number) => [min * 0.9, max * 1.1] },\n },\n series: series,\n bands: [{ series: [4, 3], fill: hexToRgba(color, 0.2) }],\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n if (lastNearestIdx != null) {\n const track = tracksFiltered[lastNearestIdx];\n if (track) {\n const stats = track.stats;\n const curve = metricKey === 'power' ? stats.powerCurve : stats.hrCurve;\n if (curve) {\n const entry = curve[currentDur];\n if (entry) {\n const bestIdx = entry.idx;\n const duration = currentDur;\n\n const startPt = track.points[bestIdx];\n const endPt = track.points[bestIdx + duration - 1];\n\n if (startPt && endPt && startPt.time != null && endPt.time != null) {\n const trackStart = track.points[0].time || 0;\n const min = (startPt.time - trackStart) / 1000;\n const max = (endPt.time - trackStart) / 1000;\n\n opts.onTrackSelect?.(track.id, [min, max]);\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n } else {\n opts.onTrackSelect?.(track.id, null);\n }\n }\n }\n });\n },\n ],\n draw: [\n (u: uPlot) => {\n let idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const val = u.data[1][idx];\n if (val != null) {\n const tpcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const tpcy = u.valToPos(val, 'y', true);\n\n const tctx = u.ctx;\n const tdpr = window.devicePixelRatio || 1;\n\n // Draw lines\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([2 * tdpr, 2 * tdpr]);\n tctx.strokeStyle = hexToRgba(color, 0.4);\n tctx.lineWidth = 1 * tdpr;\n // Vertical line\n tctx.moveTo(tpcx, u.bbox.top);\n tctx.lineTo(tpcx, u.bbox.top + u.bbox.height);\n // Horizontal line\n tctx.moveTo(u.bbox.left, tpcy);\n tctx.lineTo(u.bbox.left + u.bbox.width, tpcy);\n tctx.stroke();\n tctx.restore();\n\n // Draw hover halo\n tctx.save();\n tctx.beginPath();\n tctx.setLineDash([]); // Reset to solid\n tctx.arc(tpcx, tpcy, 12 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = hexToRgba(color, 0.2);\n tctx.fill();\n tctx.restore();\n\n // Draw center circle\n tctx.save();\n tctx.beginPath();\n tctx.arc(tpcx, tpcy, 6 * tdpr, 0, 2 * Math.PI);\n tctx.fillStyle = color;\n tctx.fill();\n tctx.strokeStyle = '#fff';\n tctx.lineWidth = 2 * tdpr;\n tctx.stroke();\n tctx.restore();\n\n // Draw axis labels\n tctx.save();\n tctx.setLineDash([]); // Reset to solid\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n tctx.font = `bold ${10 * tdpr}px system-ui, sans-serif`;\n const dateWidth = tctx.measureText(dateStr).width;\n const xbw = dateWidth + 10 * tdpr;\n const pillH = 16 * tdpr;\n\n const xLabelX = tpcx - xbw / 2;\n const clampedXBx = Math.max(\n u.bbox.left,\n Math.min(u.bbox.left + u.bbox.width - xbw, xLabelX),\n );\n const xLabelY = u.bbox.top + u.bbox.height + 2 * tdpr;\n\n // X Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * tdpr);\n else tctx.rect(clampedXBx, xLabelY, xbw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'center';\n tctx.textBaseline = 'middle';\n tctx.fillText(dateStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n const valStr = `${val.toFixed(0)} ${unit}`;\n const valWidth = tctx.measureText(valStr).width;\n const ybw = valWidth + 10 * tdpr;\n\n const yLabelX = u.bbox.left - ybw - 2 * tdpr; // To the left\n const yLabelY = tpcy - pillH / 2;\n\n // Y Label Pill\n tctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n tctx.beginPath();\n if ((tctx as any).roundRect)\n (tctx as any).roundRect(yLabelX, yLabelY, ybw, pillH, 3 * tdpr);\n else tctx.rect(yLabelX, yLabelY, ybw, pillH);\n tctx.fill();\n tctx.strokeStyle = hexToRgba(color, 0.27);\n tctx.lineWidth = 1 * tdpr;\n tctx.stroke();\n\n tctx.fillStyle = color;\n tctx.textAlign = 'left';\n tctx.textBaseline = 'middle';\n tctx.fillText(valStr, yLabelX + 5 * tdpr, yLabelY + pillH / 2);\n\n tctx.restore();\n }\n }\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n u.redraw(false);\n\n let idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n const bb = u.bbox;\n\n if (cursorLeft != null && cursorTop != null && cursorLeft >= 0 && cursorTop >= 0) {\n let minD2 = Infinity;\n let nearestIdx = -1;\n const radius = 30; // pixels\n const maxD2 = radius * radius;\n\n const xData = u.data[0];\n const yData = u.data[1];\n\n for (let i = 0; i < xData.length; i++) {\n const x = xData[i];\n const y = yData[i];\n if (x == null || y == null) continue;\n\n const px = u.valToPos(x, 'x', false);\n const py = u.valToPos(y, 'y', false);\n\n const dx = px - cursorLeft;\n const dy = py - cursorTop;\n const d2 = dx * dx + dy * dy;\n\n if (d2 < minD2) {\n minD2 = d2;\n nearestIdx = i;\n }\n }\n\n if (minD2 <= maxD2) {\n idx = nearestIdx;\n lastNearestIdx = nearestIdx;\n } else {\n idx = null;\n lastNearestIdx = null;\n }\n }\n\n if (idx != null && u.data[0][idx] != null) {\n const track = tracksFiltered[idx];\n const cx = u.valToPos(u.data[0][idx], 'x', false);\n const cy = u.valToPos(u.data[1][idx]!, 'y', false);\n\n const d = new Date(u.data[0][idx]! * 1000);\n const dateStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n\n const val = u.data[1][idx];\n const valStr = val != null ? `${val} ${unit}` : '\u2014';\n\n timelineTooltip.innerHTML = `\n
\n Date:\n ${dateStr}\n
\n
\n Value:\n ${valStr}\n
\n `;\n timelineTooltip.style.display = 'block';\n timelineTooltip.style.left = `${cursorLeft! + bb.left}px`;\n timelineTooltip.style.top = `${cursorTop! + bb.top}px`;\n timelineTooltip.style.transform = 'translate(5px, -50%)';\n } else {\n timelineTooltip.style.display = 'none';\n }\n },\n ],\n },\n axes: [\n {\n space: 50,\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n show: true,\n font: '10px system-ui, sans-serif',\n size: 30,\n values: (u: any, vals: any[]) =>\n vals.map((v) => {\n const d = new Date(v * 1000);\n return `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}`;\n }),\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34' },\n font: '10px system-ui, sans-serif',\n values: (u: any, vals: any[]) => vals.map((v) => `${v} ${unit}`),\n show: true,\n space: 15,\n size: 50,\n },\n ],\n };\n\n timelineChart = new uPlot(optsTimeline, dataTimeline as any, timelineEl);\n evolutionPlots.push(timelineChart);\n\n timelineEl.addEventListener('mouseleave', () => {\n timelineChart!.redraw();\n });\n\n // Range control moved to toolbar\n } else {\n timelineEl.innerHTML = '
No data for the past year
';\n }\n }\n };\n renderCharts();\n\n return {\n updatePin: (dur: number | null) => {\n pinnedDur = dur;\n if (dur !== null) currentDur = dur;\n\n const labelEl = document.getElementById(`${metricKey}-timeline-label`);\n if (labelEl)\n labelEl.textContent = `Progress ${fmtDuration(currentDur)} ${metricKey === 'power' ? 'Power' : 'HR'}${pinnedDur !== null ? ' (Pinned)' : ''}`;\n\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n if (mainChart) mainChart.redraw();\n },\n updateRange: (range: string) => {\n currentRange = range;\n if (timelineChart) {\n const { xFiltered, rawYFiltered, smoothedYFiltered } = getFilteredData(\n currentDur,\n currentRange,\n );\n const lowerBound = smoothedYFiltered.map((v) => (v !== null ? v * 0.9 : null));\n const upperBound = smoothedYFiltered.map((v) => (v !== null ? v * 1.1 : null));\n timelineChart.setData([xFiltered, rawYFiltered, smoothedYFiltered, lowerBound, upperBound]);\n }\n },\n };\n}\n\nfunction getWeekStart(date: Date): Date {\n const d = new Date(date);\n const day = d.getUTCDay();\n const diff = d.getUTCDate() - day + (day === 0 ? -6 : 1); // adjust when day is sunday\n d.setUTCDate(diff);\n d.setUTCHours(0, 0, 0, 0);\n return d;\n}\n\nfunction computeWeeklyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey]) weeklyData[weekKey] = { timestamp: weekStart.getTime(), distance: 0 };\n\n weeklyData[weekKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeWeeklyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const weeklyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n\n const date = new Date(t.stats.startTime);\n const weekStart = getWeekStart(date);\n const weekKey = weekStart.toISOString().split('T')[0];\n\n if (!weeklyData[weekKey])\n weeklyData[weekKey] = { timestamp: weekStart.getTime(), elevation: 0 };\n\n weeklyData[weekKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(weeklyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeMonthlyDistance(\n allTracks: TrackData[],\n): { week: string; timestamp: number; distance: number }[] {\n const monthlyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || !t.stats.totalDist) return;\n const date = new Date(t.stats.startTime);\n const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1));\n const monthKey = monthStart.toISOString().slice(0, 7);\n if (!monthlyData[monthKey]) {\n monthlyData[monthKey] = { timestamp: monthStart.getTime(), distance: 0 };\n }\n monthlyData[monthKey].distance += t.stats.totalDist;\n });\n\n return Object.entries(monthlyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, distance: data.distance }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction computeMonthlyElevation(\n allTracks: TrackData[],\n): { week: string; timestamp: number; elevation: number }[] {\n const monthlyData: Record = {};\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime || t.stats.elevGain === undefined) return;\n const date = new Date(t.stats.startTime);\n const monthStart = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1));\n const monthKey = monthStart.toISOString().slice(0, 7);\n if (!monthlyData[monthKey]) {\n monthlyData[monthKey] = { timestamp: monthStart.getTime(), elevation: 0 };\n }\n monthlyData[monthKey].elevation += t.stats.elevGain;\n });\n\n return Object.entries(monthlyData)\n .map(([week, data]) => ({ week, timestamp: data.timestamp, elevation: data.elevation }))\n .sort((a, b) => a.timestamp - b.timestamp);\n}\n\nfunction renderProgressCard(\n grid: HTMLElement,\n allTracks: TrackData[],\n type: 'distance' | 'elevation',\n syncKey?: any,\n onDateRangeSelect?: (start: string, end: string) => void,\n gridWidth?: number,\n) {\n const isDistance = type === 'distance';\n let activeGrouping: 'week' | 'month' = currentEvolutionGrouping;\n let activeRange = UrlState.get().progress || 'all';\n const weeklySource = isDistance\n ? computeWeeklyDistance(allTracks)\n : computeWeeklyElevation(allTracks);\n const monthlySource = isDistance\n ? computeMonthlyDistance(allTracks)\n : computeMonthlyElevation(allTracks);\n let weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource;\n const accumulated = computeAccumulatedMetric(allTracks, (t) =>\n isDistance ? t.stats.totalDist : t.stats.elevGain,\n );\n const color = isDistance ? Metrics.distance.color : Metrics.elevation.color;\n const unit = isDistance ? 'km' : 'm';\n const icon = isDistance ? Metrics.distance.icon : Metrics.elevation.icon;\n\n const cardContainer = document.createElement('div');\n cardContainer.className = `chart-row ${type}-progress-card`;\n cardContainer.id = `${type}-evolution-card`;\n\n cardContainer.innerHTML = `\n
\n
\n ${icon}\n ${isDistance ? 'Distance Progress' : 'Elevation Progress'}\n
\n
\n
\n
\n
\n
\n
\n
\n ${renderAccumulatedTable(accumulated, isDistance, unit)}\n
\n
\n `;\n\n grid.appendChild(cardContainer);\n\n const chartEl = cardContainer.querySelector(`#${type}-weekly-chart`) as HTMLElement;\n const yAxisEl = cardContainer.querySelector(`#${type}-y-axis-chart`) as HTMLElement;\n\n if (!chartEl || !yAxisEl) return;\n\n chartEl.style.position = 'relative';\n\n // Use inline tooltip style\n const tooltip = document.createElement('div');\n tooltip.className = 'cur-y-val';\n tooltip.style.cssText = `color:${color};display:none`;\n chartEl.appendChild(tooltip);\n\n const xData = weeklyData.map((d) => d.timestamp / 1000);\n const yData = isDistance\n ? (weeklyData as any[]).map((d) => d.distance / 1000)\n : (weeklyData as any[]).map((d) => d.elevation);\n\n if (xData.length === 0) return;\n\n const yDataSmoothed = gaussianSmooth(yData, 2);\n\n const chartClientW = Math.max(0, (gridWidth || 570) - 20 - 320 - 20);\n const width = Math.max(chartClientW, xData.length * 40);\n const maxVal = Math.max(...yData) * 1.1;\n\n const mainOpts: uPlot.Options = {\n width: width,\n height: 150,\n padding: [10, 10, 0, 10],\n tzDate: (ts: number) => uPlot.tzDate(new Date(ts * 1000), 'Etc/UTC'),\n scales: {\n x: { time: true },\n y: { range: [0, maxVal] },\n },\n series: [\n {},\n {\n label: isDistance ? 'Distance' : 'Elevation',\n stroke: color,\n fill: hexToRgba(color, 0.1),\n width: 2,\n points: { show: true, size: 4 },\n },\n {\n label: 'Trend',\n stroke: color,\n width: 2,\n dash: [5, 5],\n points: { show: false },\n },\n ],\n cursor: {\n sync: syncKey ? { key: syncKey.key } : undefined,\n drag: { x: false, y: false },\n points: { show: false },\n x: false,\n y: false,\n },\n hooks: {\n init: [\n (u: uPlot) => {\n u.over.addEventListener('click', () => {\n const idx = u.cursor.idx;\n if (idx != null) {\n const item = weeklyData[idx];\n if (item) {\n const start = new Date(item.timestamp);\n const end = new Date(item.timestamp + 7 * 24 * 60 * 60 * 1000); // End of week\n const startStr = start.toISOString().split('T')[0];\n const endStr = end.toISOString().split('T')[0];\n onDateRangeSelect?.(startStr, endStr);\n }\n }\n });\n },\n ],\n setCursor: [\n (u: uPlot) => {\n if (!(u as any)._ready) return;\n const idx = u.cursor.idx;\n const cursorLeft = u.cursor.left;\n const cursorTop = u.cursor.top;\n\n if (\n idx != null &&\n cursorLeft != null &&\n cursorTop != null &&\n cursorLeft >= 0 &&\n cursorTop >= 0\n ) {\n const val = u.data[1][idx];\n const valStr =\n val != null ? (isDistance ? `${val.toFixed(1)} km` : `${val.toFixed(0)} m`) : '\u2014';\n\n tooltip.innerHTML = valStr;\n tooltip.style.display = 'block';\n tooltip.style.left = `${u.valToPos(u.data[0][idx]!, 'x', false)}px`;\n tooltip.style.top = `${u.valToPos(u.data[1][idx]!, 'y', false)}px`;\n tooltip.style.transform = 'translate(6px, -50%)';\n } else {\n tooltip.style.display = 'none';\n }\n\n u.redraw(false);\n },\n ],\n draw: [\n (u: uPlot) => {\n const idx = u.cursor.idx;\n if (idx != null && u.data[0][idx] != null) {\n const pcx = u.valToPos(u.data[0][idx]!, 'x', true);\n const pcy = u.valToPos(u.data[1][idx]!, 'y', true);\n const dpr = window.devicePixelRatio || 1;\n const ctx = u.ctx;\n const bb = u.bbox;\n\n // Draw lines\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([2 * dpr, 2 * dpr]);\n ctx.strokeStyle = hexToRgba(color, 0.4);\n ctx.lineWidth = 1 * dpr;\n // Vertical line\n ctx.moveTo(pcx, bb.top);\n ctx.lineTo(pcx, bb.top + bb.height);\n // Horizontal line\n ctx.moveTo(bb.left, pcy);\n ctx.lineTo(bb.left + bb.width, pcy);\n ctx.stroke();\n ctx.restore();\n\n // Draw hover halo\n ctx.save();\n ctx.beginPath();\n ctx.setLineDash([]); // Reset to solid\n ctx.arc(pcx, pcy, 12 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = hexToRgba(color, 0.2);\n ctx.fill();\n ctx.restore();\n\n // Draw center circle\n ctx.save();\n ctx.beginPath();\n ctx.arc(pcx, pcy, 6 * dpr, 0, 2 * Math.PI);\n ctx.fillStyle = color;\n ctx.fill();\n ctx.strokeStyle = '#fff';\n ctx.lineWidth = 2 * dpr;\n ctx.stroke();\n ctx.restore();\n\n // Draw axis labels\n ctx.save();\n ctx.setLineDash([]); // Reset to solid\n\n // X Label Pill\n const d = new Date(u.data[0][idx]! * 1000);\n const xValStr = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')}`;\n ctx.font = `bold ${10 * dpr}px system-ui, sans-serif`;\n const xValWidth = ctx.measureText(xValStr).width;\n const xbw = xValWidth + 10 * dpr;\n const pillH = 16 * dpr;\n\n const xLabelX = pcx - xbw / 2;\n const clampedXBx = Math.max(bb.left, Math.min(bb.left + bb.width - xbw, xLabelX));\n const xLabelY = bb.top + bb.height + 2 * dpr;\n\n ctx.fillStyle = 'rgba(14, 14, 16, 0.92)';\n ctx.beginPath();\n if ((ctx as any).roundRect)\n (ctx as any).roundRect(clampedXBx, xLabelY, xbw, pillH, 3 * dpr);\n else ctx.rect(clampedXBx, xLabelY, xbw, pillH);\n ctx.fill();\n ctx.strokeStyle = hexToRgba(color, 0.27);\n ctx.lineWidth = 1 * dpr;\n ctx.stroke();\n\n ctx.fillStyle = color;\n ctx.textAlign = 'center';\n ctx.textBaseline = 'middle';\n ctx.fillText(xValStr, clampedXBx + xbw / 2, xLabelY + pillH / 2);\n\n ctx.restore();\n }\n },\n ],\n },\n axes: [\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n space: 40,\n values: (self, splits) =>\n splits.map((s) => {\n const d = new Date(s * 1000);\n return `${d.getUTCMonth() + 1}/${d.getUTCDate()}`;\n }),\n font: '10px system-ui, sans-serif',\n size: 30,\n },\n {\n stroke: '#555564',\n grid: { stroke: '#2e2e34', width: 1 },\n show: true,\n values: (self, splits) => splits.map((s) => `${s.toFixed(0)} ${unit}`),\n font: '10px system-ui, sans-serif',\n size: 40,\n },\n ],\n };\n\n const mainChart = new uPlot(mainOpts, [xData, yData, yDataSmoothed], chartEl);\n evolutionPlots.push(mainChart);\n\n const scrollContainer = cardContainer.querySelector('.chart-scroll-container') as HTMLElement;\n if (scrollContainer && xData.length * 40 > width)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n\n function applySeriesData() {\n weeklyData = activeGrouping === 'month' ? monthlySource : weeklySource;\n const maxTime = weeklyData[weeklyData.length - 1]?.timestamp || 1785542400000;\n let minTime = 0;\n\n if (activeRange === '1m') minTime = maxTime - 30 * 24 * 3600 * 1000;\n else if (activeRange === '2m') minTime = maxTime - 60 * 24 * 3600 * 1000;\n else if (activeRange === '6m') minTime = maxTime - 180 * 24 * 3600 * 1000;\n else if (activeRange === '1y') minTime = maxTime - 365 * 24 * 3600 * 1000;\n else if (activeRange === '2y') minTime = maxTime - 2 * 365 * 24 * 3600 * 1000;\n\n const filteredData = weeklyData.filter((d) => d.timestamp >= minTime);\n\n const newXData = filteredData.map((d) => d.timestamp / 1000);\n const newYData = isDistance\n ? (filteredData as any[]).map((d) => d.distance / 1000)\n : (filteredData as any[]).map((d) => d.elevation);\n const newYDataSmoothed = gaussianSmooth(newYData, 2);\n\n const newWidth = Math.max(chartEl.clientWidth, newXData.length * 40);\n const newMaxVal = Math.max(1, ...newYData) * 1.1;\n\n mainChart.setSize({ width: newWidth, height: 150 });\n mainChart.setScale('y', { min: 0, max: newMaxVal });\n mainChart.setData([newXData, newYData, newYDataSmoothed]);\n\n if (scrollContainer)\n scrollContainer.scrollLeft = scrollContainer.scrollWidth - scrollContainer.clientWidth;\n }\n\n return {\n updateRange: (range: string) => {\n activeRange = range;\n applySeriesData();\n },\n updateGrouping: (grouping: 'week' | 'month') => {\n activeGrouping = grouping;\n applySeriesData();\n },\n };\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\nimport { TrackData } from '../parsers';\n\nexport interface AccumulatedData {\n currentYear: number;\n pastYear: number;\n past6m: number;\n past1m: number;\n total: number;\n currentYearAvg: number;\n pastYearAvg: number;\n past6mAvg: number;\n past1mAvg: number;\n totalAvg: number;\n}\n\nexport function computeAccumulatedMetric(\n allTracks: TrackData[],\n extractor: (t: TrackData) => number | undefined,\n): AccumulatedData {\n // Derive deterministic reference timestamp from tracks (or fixed UTC fallback)\n let refTs = 0;\n for (let i = 0; i < allTracks.length; i++) {\n const st = allTracks[i].stats?.startTime;\n if (st && st > refTs) refTs = st;\n }\n if (!refTs) refTs = Date.UTC(2026, 7, 1);\n\n const now = new Date(refTs);\n const currentYear = now.getUTCFullYear();\n\n const oneYearAgoMs = Date.UTC(\n currentYear - 1,\n now.getUTCMonth(),\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const sixMonthsAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 6,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n const oneMonthAgoMs = Date.UTC(\n currentYear,\n now.getUTCMonth() - 1,\n now.getUTCDate(),\n now.getUTCHours(),\n now.getUTCMinutes(),\n now.getUTCSeconds(),\n );\n\n let currentYearVal = 0;\n let pastYearVal = 0;\n let past6mVal = 0;\n let past1mVal = 0;\n let totalVal = 0;\n\n let minTime = refTs;\n\n allTracks.forEach((t) => {\n if (!t.stats.startTime) return;\n const val = extractor(t);\n if (val === undefined) return;\n\n totalVal += val;\n\n const time = t.stats.startTime;\n if (time < minTime) minTime = time;\n\n const date = new Date(time);\n\n if (date.getUTCFullYear() === currentYear) currentYearVal += val;\n\n if (time >= oneYearAgoMs) pastYearVal += val;\n\n if (time >= sixMonthsAgoMs) past6mVal += val;\n\n if (time >= oneMonthAgoMs) past1mVal += val;\n });\n\n const msecPerWeek = 7 * 24 * 60 * 60 * 1000;\n const currentYearStart = Date.UTC(currentYear, 0, 1);\n\n const currentYearWeeks = Math.max(0.1, (refTs - currentYearStart) / msecPerWeek);\n const pastYearWeeks = Math.max(0.1, (refTs - oneYearAgoMs) / msecPerWeek);\n const past6mWeeks = Math.max(0.1, (refTs - sixMonthsAgoMs) / msecPerWeek);\n const past1mWeeks = Math.max(0.1, (refTs - oneMonthAgoMs) / msecPerWeek);\n const totalWeeks = Math.max(0.1, (refTs - minTime) / msecPerWeek);\n\n return {\n currentYear: currentYearVal,\n pastYear: pastYearVal,\n past6m: past6mVal,\n past1m: past1mVal,\n total: totalVal,\n currentYearAvg: currentYearVal / currentYearWeeks,\n pastYearAvg: pastYearVal / pastYearWeeks,\n past6mAvg: past6mVal / past6mWeeks,\n past1mAvg: past1mVal / past1mWeeks,\n totalAvg: totalVal / totalWeeks,\n };\n}\n\nexport function renderAccumulatedTable(\n accumulated: AccumulatedData,\n isDistance: boolean,\n unit: string,\n): string {\n const factor = isDistance ? 1000 : 1;\n const format = (val: number) => {\n const formattedVal = isDistance ? val / factor : val;\n return formattedVal.toLocaleString('en-US', {\n minimumFractionDigits: isDistance ? 1 : 0,\n maximumFractionDigits: isDistance ? 1 : 0,\n });\n };\n\n return `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Period${isDistance ? 'Distance' : 'Elevation'}${isDistance ? 'Distance/Week' : 'Elevation/Week'}
Current Year${format(accumulated.currentYear)} ${unit}${format(accumulated.currentYearAvg)} ${unit}
Past Year${format(accumulated.pastYear)} ${unit}${format(accumulated.pastYearAvg)} ${unit}
Past 6 Months${format(accumulated.past6m)} ${unit}${format(accumulated.past6mAvg)} ${unit}
Past 1 Month${format(accumulated.past1m)} ${unit}${format(accumulated.past1mAvg)} ${unit}
Total${format(accumulated.total)} ${unit}${format(accumulated.totalAvg)} ${unit}
\n `;\n}\n\nexport interface MultiMetricAccumulatedSummary {\n distance: AccumulatedData;\n elevation: AccumulatedData;\n durationHours: AccumulatedData;\n tss: AccumulatedData;\n workKj: AccumulatedData;\n climbCount: AccumulatedData;\n}\n\nexport function computeMultiMetricAccumulated(\n allTracks: TrackData[],\n): MultiMetricAccumulatedSummary {\n const distance = computeAccumulatedMetric(allTracks, (t) => t.stats.totalDist);\n const elevation = computeAccumulatedMetric(allTracks, (t) => t.stats.elevGain);\n const durationHours = computeAccumulatedMetric(allTracks, (t) =>\n t.stats.duration ? t.stats.duration / 3600000 : 0,\n );\n const tss = computeAccumulatedMetric(allTracks, (t) => {\n const durSec = (t.stats.duration || 0) / 1000;\n const avgPwr = t.stats.avgPower || 150;\n const ftp = 200;\n const intensityFactor = avgPwr / ftp;\n return ((durSec * avgPwr * intensityFactor) / (ftp * 3600)) * 100;\n });\n const workKj = computeAccumulatedMetric(allTracks, (t) => {\n const durSec = (t.stats.duration || 0) / 1000;\n const avgPwr = t.stats.avgPower || 0;\n return (durSec * avgPwr) / 1000;\n });\n const climbCount = computeAccumulatedMetric(allTracks, (t) => {\n const secs = t.stats.sections || [];\n return secs.filter((s) => s.kind === 'climb').length;\n });\n\n return {\n distance,\n elevation,\n durationHours,\n tss,\n workKj,\n climbCount,\n };\n}\n\nexport function renderAccumulatedProgressSummary(allTracks: TrackData[]): string {\n const summary = computeMultiMetricAccumulated(allTracks);\n const fmt = (v: number, digits = 1) =>\n v.toLocaleString('en-US', {\n minimumFractionDigits: digits,\n maximumFractionDigits: digits,\n });\n\n const rows: {\n label: string;\n unit: string;\n data: AccumulatedData;\n scale: number;\n digits: number;\n }[] = [\n { label: 'Distance', unit: 'km', data: summary.distance, scale: 0.001, digits: 1 },\n { label: 'Elevation Gain', unit: 'm', data: summary.elevation, scale: 1, digits: 0 },\n { label: 'Moving Duration', unit: 'h', data: summary.durationHours, scale: 1, digits: 1 },\n { label: 'Training Stress (TSS)', unit: 'TSS', data: summary.tss, scale: 1, digits: 0 },\n { label: 'Mechanical Work', unit: 'kJ', data: summary.workKj, scale: 1, digits: 0 },\n { label: 'Categorized Climbs', unit: 'climbs', data: summary.climbCount, scale: 1, digits: 0 },\n ];\n\n return `\n
\n
\n
\n monitoring\n Accumulated Longitudinal Progress Summary\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n ${rows\n .map(\n (r) => `\n \n \n \n \n \n \n \n \n `,\n )\n .join('')}\n \n
MetricPast 1MPast 6MPast YearCurrent YearTotalWeekly Avg
${r.label}${fmt(r.data.past1m * r.scale, r.digits)} ${r.unit}${fmt(r.data.past6m * r.scale, r.digits)} ${r.unit}${fmt(r.data.pastYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.currentYear * r.scale, r.digits)} ${r.unit}${fmt(r.data.total * r.scale, r.digits)} ${r.unit}${fmt(r.data.totalAvg * r.scale, r.digits)} ${r.unit}/wk
\n
\n `;\n}\n", "// Copyright (c) 2026, Camillo Bruni.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\n'use strict';\n\n// \u2500\u2500 Main Application \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nimport { Storage } from './storage';\nimport { UrlState, AppState } from './url-state';\nimport { Parsers, TrackData, TrackPoint, calculateBounds, simplifyTrack } from './parsers';\nimport { MapView } from './map';\nimport { ChartView } from './charts';\nimport { renderDetails, initDetails, resetDetails } from './tabs/details';\nimport { renderInsights, initInsights, resetInsights } from './tabs/insights';\nimport {\n renderCombined,\n initCombined,\n resizeCombined,\n resetCombined,\n setCombinedMetrics,\n setCombinedPolar,\n setCombinedSliderProgress,\n} from './tabs/combined';\nimport {\n renderEvolution,\n resetEvolution,\n setEvolutionGrouping,\n setEvolutionRange,\n setEvolutionPinnedDuration,\n} from './tabs/progress';\nimport {\n renderCourses,\n initCourses,\n prepareBenchmarkCourses,\n getBenchmarkCourseIds,\n resetCourses,\n selectCourse,\n} from './tabs/courses';\nimport { fmtSecs, escHtml, fmtDate, getTagColor, compactId, shortRandom } from './utils';\n\nconst TRACK_COLORS: string[] = [\n '#FF6B35',\n '#4ECDC4',\n '#45B7D1',\n '#F7DC6F',\n '#FF6B6B',\n '#BB8FCE',\n '#82E0AA',\n '#F8C471',\n '#3b82f6',\n];\n\nconst POINT_ZOOM_LEVEL = 16;\n\nlet tracks: Record = {};\nlet skippedImports: { name: string; reason: string }[] = [];\n\nfunction isSameDay(t1: number, t2: number) {\n const d1 = new Date(t1);\n const d2 = new Date(t2);\n return (\n d1.getUTCFullYear() === d2.getUTCFullYear() &&\n d1.getUTCMonth() === d2.getUTCMonth() &&\n d1.getUTCDate() === d2.getUTCDate()\n );\n}\n\nlet cancelProcessing = false;\nlet selectedId: string | null = null;\nlet colorIdx = 0;\nlet followDot = false;\nlet currentMapColors: string[] | null = null;\n\n// Search/Filter state\nlet searchQuery = '';\nlet searchRegex = false;\nlet currentSort = 'date-desc';\n\ninterface Filters {\n date: [string | null, string | null];\n dist: [number | null, number | null];\n dur: [number | null, number | null];\n metrics: Set;\n tags: string[];\n sport: string | null;\n}\n\nlet filters: Filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n};\n\nfunction syncFiltersToUrl(push: boolean = false) {\n UrlState.patch(\n {\n f_date: filters.date.every((v) => v === null) ? null : filters.date,\n f_dist: filters.dist.every((v) => v === null) ? null : filters.dist,\n f_dur: filters.dur.every((v) => v === null) ? null : filters.dur,\n f_mets: filters.metrics.size === 0 ? null : Array.from(filters.metrics),\n f_tags: filters.tags.length === 0 ? null : filters.tags,\n },\n push,\n );\n}\n\nfunction syncMetricsToUrl() {\n const active = ChartView.getActiveMetrics();\n const metrics = ChartView.METRICS;\n const abbrs = Array.from(active).map((key) => metrics[key].abbr);\n UrlState.patch({ metrics: abbrs.length ? abbrs : null });\n}\n\nconst SORT_OPTIONS = [\n { label: 'Newest first', val: 'date-desc', icon: 'calendar_today' },\n { label: 'Oldest first', val: 'date-asc', icon: 'history' },\n { label: 'Longest distance', val: 'dist-desc', icon: 'straighten' },\n { label: 'Shortest distance', val: 'dist-asc', icon: 'horizontal_rule' },\n { label: 'Longest duration', val: 'dur-desc', icon: 'timer' },\n { label: 'Shortest duration', val: 'dur-asc', icon: 'timer_off' },\n];\n\nfunction showSortMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.sort-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'sort-menu-popup';\n\n SORT_OPTIONS.forEach((opt) => {\n const item = document.createElement('div');\n item.className = `menu-item ${currentSort === opt.val ? 'active' : ''}`;\n item.innerHTML = `\n ${opt.icon}\n ${opt.label}\n ${currentSort === opt.val ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n currentSort = opt.val;\n UrlState.patch({ sort: opt.val });\n updateSearchSortUI();\n renderTrackList();\n popup.remove();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.left = `${rect.left}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\nfunction showMetricMenu(anchorEl: HTMLElement) {\n document.querySelectorAll('.metric-menu-popup').forEach((el) => el.remove());\n\n const popup = document.createElement('div');\n popup.className = 'metric-menu-popup';\n\n const metrics = ChartView.METRICS;\n const available = ChartView.getAvailableMetrics();\n const active = ChartView.getActiveMetrics();\n\n Object.entries(metrics).forEach(([key, def]) => {\n if (!available.has(key)) return;\n\n const item = document.createElement('div');\n item.className = `menu-item ${active.has(key) ? 'active' : ''}`;\n item.innerHTML = `\n ${def.icon}\n ${def.label}\n ${active.has(key) ? 'check' : ''}\n `;\n item.addEventListener('click', () => {\n ChartView.toggleMetric(key);\n const isNowActive = ChartView.getActiveMetrics().has(key);\n item.classList.toggle('active', isNowActive);\n item.querySelector('.check')!.textContent = isNowActive ? 'check' : '';\n\n const pill = document.querySelector(`#metric-pills .metric-pill[data-metric=\"${key}\"]`);\n if (pill) pill.classList.toggle('active', isNowActive);\n\n updateToolbarLayout();\n\n syncMetricsToUrl();\n });\n popup.appendChild(item);\n });\n\n const rect = anchorEl.getBoundingClientRect();\n popup.style.top = `${rect.bottom + 5}px`;\n popup.style.right = `${window.innerWidth - rect.right}px`;\n document.body.appendChild(popup);\n\n const close = (e: MouseEvent) => {\n if (!popup.contains(e.target as Node) && !anchorEl.contains(e.target as Node)) {\n popup.remove();\n document.removeEventListener('click', close);\n }\n };\n setTimeout(() => document.addEventListener('click', close), 0);\n}\n\n// \u2500\u2500 Tab Management \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndocument.addEventListener('select-track', (e: any) => {\n const id = e.detail.id;\n const idx = e.detail.idx;\n const dur = e.detail.dur;\n if (id && tracks[id]) {\n selectTrack(id);\n if (idx != null && dur != null) {\n const t = tracks[id];\n const pts = t.points;\n if (idx >= 0 && idx < pts.length) {\n const pIdx = pts[idx];\n if (pIdx && pIdx.time != null) {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const tMin = (pIdx.time - t0) / 1000;\n const tMax = tMin + dur;\n\n // ChartView selection\n ChartView.restoreSelection(tMin, tMax);\n\n // Find iMax based on duration\n let iMax = pts.findIndex((p) => (p.time || 0) >= pIdx.time! + dur * 1000);\n if (iMax === -1) iMax = pts.length - 1;\n\n const selPts = pts.slice(idx, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n\n renderInsights(t);\n\n MapView.highlightSegment(id, pts, idx, iMax, false, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n\n // Update URL state\n UrlState.patch({ sel: [tMin, tMax] });\n }\n }\n }\n }\n});\n\ndocument.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.tab-btn') as HTMLElement;\n if (!btn) return;\n const nav = btn.closest('#tab-nav');\n if (!nav) return;\n\n // Toggle buttons\n nav.querySelectorAll('.tab-btn').forEach((b) => b.classList.toggle('active', b === btn));\n\n const tab = btn.dataset.tab!;\n UrlState.patch({ tab }, true);\n\n // Toggle contents\n const panel = nav.closest('#chart-panel');\n if (panel) {\n panel.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${btn.dataset.tab}`);\n });\n }\n\n if (btn.dataset.tab === 'details' && selectedId && tracks[selectedId])\n renderDetails(tracks[selectedId], getGlobalTags());\n\n if (btn.dataset.tab === 'insights' && selectedId && tracks[selectedId])\n renderInsights(tracks[selectedId]);\n\n if (btn.dataset.tab === 'evolution') {\n renderEvolution(\n selectedId ? tracks[selectedId] : null,\n Object.values(tracks),\n (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n },\n (start, end) => {\n filters.date = [start, end];\n applyFilters();\n syncFiltersToUrl(true);\n updateFilterUI();\n },\n );\n }\n\n if (btn.dataset.tab === 'combined' && selectedId && tracks[selectedId])\n renderCombined(tracks[selectedId]);\n\n if (btn.dataset.tab === 'courses') renderCourses();\n\n if (btn.dataset.tab === 'graphs') {\n ChartView.resize();\n updateToolbarLayout();\n\n // Restore selection from URL\n const s = UrlState.get().sel;\n if (s) ChartView.restoreSelection(s[0], s[1]);\n }\n});\n\nasync function resetBenchmarkState() {\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n await Storage.clear();\n tracks = {};\n skippedImports = [];\n selectedId = null;\n colorIdx = 0;\n currentMapColors = null;\n cancelProcessing = false;\n followDot = false;\n searchQuery = '';\n searchRegex = false;\n currentSort = 'date-desc';\n filters.date = [null, null];\n filters.dist = [null, null];\n filters.dur = [null, null];\n filters.metrics.clear();\n filters.tags = [];\n Parsers.setHRZones([120, 140, 160, 180]);\n Parsers.setFTP(200);\n resetCourses();\n resetInsights();\n resetDetails();\n resetCombined();\n resetEvolution();\n if (MapView.removeAllTracks) MapView.removeAllTracks();\n if (MapView.clearTracks) MapView.clearTracks();\n MapView.clearHighlight();\n if (ChartView.resetState) ChartView.resetState();\n else if (ChartView.clear) ChartView.clear();\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === 'graphs');\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === 'tab-graphs');\n });\n UrlState.reset();\n const toastContainer = document.getElementById('toast-container');\n if (toastContainer) toastContainer.innerHTML = '';\n document.querySelectorAll('.modal-backdrop').forEach((el) => el.remove());\n if (typeof renderTrackList === 'function') renderTrackList();\n}\n\n// \u2500\u2500 Boot \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nlet appSubsystemsInitialized = false;\n\nasync function initAppSubsystems() {\n if (appSubsystemsInitialized) {\n initInsights((msg: string, type?: string) =>\n showToast(msg, type === 'error' ? 'error' : 'info'),\n );\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) =>\n showToast(msg, type === 'error' ? 'error' : 'info'),\n );\n updateToolbarLayout();\n await Storage.openDB();\n await resetBenchmarkState();\n return;\n }\n appSubsystemsInitialized = true;\n\n const storageSelect = document.getElementById(\n 'storage-backend-select',\n ) as HTMLSelectElement | null;\n if (storageSelect) {\n storageSelect.value = UrlState.get().storage || 'memory';\n storageSelect.addEventListener('change', (e) => {\n const selected = (e.target as HTMLSelectElement).value;\n const params = new URLSearchParams(window.location.search);\n if (selected === 'memory') {\n params.delete('storage');\n } else {\n params.set('storage', selected);\n }\n window.location.search = params.toString();\n });\n }\n\n const mapLoader = document.getElementById('map-loader');\n const mapLoaderSpan = mapLoader?.querySelector('span');\n\n if (mapLoader) {\n if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading database...';\n mapLoader.classList.remove('hidden');\n }\n\n const urlState = UrlState.get();\n\n initInsights((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n initDetails(\n () => {\n applyFilters();\n syncFiltersToUrl();\n },\n (id: string) => {\n deleteTrack(id);\n },\n );\n initCombined();\n initCourses((msg: string, type?: string) => showToast(msg, type === 'error' ? 'error' : 'info'));\n\n // Init sub-systems\n MapView.init(\n (id) => selectTrack(id),\n onMapMove,\n onMapPointClick,\n (id, idx) => {\n if (id === selectedId) ChartView.setHoverAt(idx);\n else ChartView.setHoverAt(null);\n },\n onMapDblClick,\n );\n ChartView.init(onChartCursorMove, onChartRangeChange, onChartClick, (idx) => {\n UrlState.patch({ sel_point: idx });\n });\n\n ChartView.setMapColorChangeCb((data) => {\n if (data) {\n currentMapColors = data.colors;\n if (selectedId) MapView.colorTrackByMetric(selectedId, data.pts, data.colors);\n } else {\n currentMapColors = null;\n if (selectedId) MapView.clearMetricColor(selectedId);\n }\n\n // Refresh highlight with new colors if a selection exists\n const currentUrlState = UrlState.get();\n if (currentUrlState.sel)\n onChartRangeChange(currentUrlState.sel[0], currentUrlState.sel[1], ChartView.getXAxis());\n });\n\n applyState(urlState);\n\n // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions\n await Storage.openDB();\n await resetBenchmarkState();\n if (mapLoader) mapLoader.classList.add('hidden');\n\n // Panel resizers\n initResizeHandle();\n initSidebarResizer();\n initMetricPillDraggable();\n updateToolbarLayout();\n\n // Basemap switcher\n document.getElementById('basemap-switcher')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.bm-btn') as HTMLElement;\n if (!btn) return;\n document.querySelectorAll('.bm-btn').forEach((b) => b.classList.remove('active'));\n btn.classList.add('active');\n if (btn.dataset.layer) {\n MapView.switchBasemap(btn.dataset.layer);\n UrlState.patch({ map: btn.dataset.layer });\n }\n });\n\n // Fit all\n document.getElementById('btn-fit-all')?.addEventListener('click', () => MapView.fitAll());\n\n // Clear all\n document.getElementById('btn-clear-all')?.addEventListener('click', clearAll);\n\n // Search\n document.getElementById('track-search')?.addEventListener('input', (e) => {\n searchQuery = (e.target as HTMLInputElement).value;\n applyFilters();\n UrlState.patch({ q: searchQuery || null });\n });\n\n document.getElementById('btn-regex-toggle')?.addEventListener('click', (e) => {\n searchRegex = !searchRegex;\n (e.target as HTMLElement).classList.toggle('active', searchRegex);\n applyFilters();\n UrlState.patch({ re: searchRegex ? 1 : null });\n });\n\n // Sort\n document.getElementById('btn-sort-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showSortMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric menu toggle\n document.getElementById('btn-metric-menu')?.addEventListener('click', (e) => {\n e.stopPropagation();\n showMetricMenu(e.currentTarget as HTMLElement);\n });\n\n // Metric toggles (shared logic)\n const toggleMetric = (metric: string, pill: HTMLElement | null) => {\n if (pill) pill.classList.toggle('active');\n ChartView.toggleMetric(metric);\n syncMetricsToUrl();\n };\n\n document.getElementById('metric-pills')?.addEventListener('click', (e) => {\n const pill = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (pill) {\n const metric = pill.dataset.metric;\n if (metric) {\n toggleMetric(metric, pill);\n\n // Scroll to it if it became active\n if (ChartView.getActiveMetrics().has(metric)) {\n const targetEl = document.querySelector(`.chart-row[data-metric=\"${metric}\"]`);\n targetEl?.scrollIntoView({ behavior: 'smooth' });\n }\n }\n }\n });\n\n // X-axis toggle\n document.getElementById('x-axis-ctrl')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.seg-btn') as HTMLElement;\n if (!btn) return;\n const axis = btn.dataset.axis!;\n ChartView.setXAxis(axis);\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', b === btn));\n UrlState.patch({ xaxis: axis });\n });\n\n // Follow dot\n document.getElementById('btn-follow-dot')?.addEventListener('click', (e) => {\n followDot = !followDot;\n (e.currentTarget as HTMLElement).classList.toggle('active', followDot);\n });\n\n // Reset zoom\n document.getElementById('btn-reset-zoom')?.addEventListener('click', () => {\n ChartView.resetZoom();\n MapView.clearHighlight();\n });\n\n // File drag/drop\n initDropZone();\n\n // File browse\n document.getElementById('file-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n document.getElementById('folder-input')?.addEventListener('change', (e) => {\n handleFiles(Array.from((e.target as HTMLInputElement).files || []));\n (e.target as HTMLInputElement).value = '';\n });\n\n // Filters\n document.getElementById('btn-toggle-filters')?.addEventListener('click', () => {\n const panel = document.getElementById('filter-panel');\n if (panel) {\n panel.classList.toggle('hidden');\n document\n .getElementById('btn-toggle-filters')\n ?.classList.toggle('active', !panel.classList.contains('hidden'));\n }\n });\n\n const onFilterInput = (type: 'date' | 'dist' | 'dur', idx: number, e: Event) => {\n const val = (e.target as HTMLInputElement).value;\n (filters[type] as any)[idx] = val === '' ? null : val;\n applyFilters();\n syncFiltersToUrl();\n };\n\n document\n .getElementById('filter-date-start')\n ?.addEventListener('change', (e) => onFilterInput('date', 0, e));\n document\n .getElementById('filter-date-end')\n ?.addEventListener('change', (e) => onFilterInput('date', 1, e));\n document\n .getElementById('filter-dist-min')\n ?.addEventListener('input', (e) => onFilterInput('dist', 0, e));\n document\n .getElementById('filter-dist-max')\n ?.addEventListener('input', (e) => onFilterInput('dist', 1, e));\n document\n .getElementById('filter-dur-min')\n ?.addEventListener('input', (e) => onFilterInput('dur', 0, e));\n document\n .getElementById('filter-dur-max')\n ?.addEventListener('input', (e) => onFilterInput('dur', 1, e));\n\n const burgerBtn = document.getElementById('sport-burger-btn');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n burgerBtn?.addEventListener('click', (e) => {\n e.stopPropagation();\n if (dropdownContent) {\n const isVisible = dropdownContent.style.display === 'block';\n dropdownContent.style.display = isVisible ? 'none' : 'block';\n }\n });\n\n document.addEventListener('click', (e) => {\n if (dropdownContent && dropdownContent.style.display === 'block') {\n if (!dropdownContent.contains(e.target as Node) && e.target !== burgerBtn)\n dropdownContent.style.display = 'none';\n }\n });\n\n document.getElementById('sport-filter-container')?.addEventListener('click', (e) => {\n const target = e.target as HTMLElement;\n const btn = target.closest('[data-sport]');\n if (btn) {\n const selectedSport = (btn as HTMLElement).dataset.sport || null;\n filters.sport = filters.sport === selectedSport ? null : selectedSport;\n applyFilters();\n syncFiltersToUrl();\n updateFilterUI();\n\n if (target.closest('.dropdown-item')) {\n if (dropdownContent) dropdownContent.style.display = 'none';\n }\n }\n });\n\n document.getElementById('filter-metrics')?.addEventListener('click', (e) => {\n const btn = (e.target as HTMLElement).closest('.mini-pill') as HTMLElement;\n if (!btn) return;\n const m = btn.dataset.metric!;\n if (filters.metrics.has(m)) filters.metrics.delete(m);\n else filters.metrics.add(m);\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('btn-reset-filters')?.addEventListener('click', () => {\n filters = {\n date: [null, null],\n dist: [null, null],\n dur: [null, null],\n metrics: new Set(),\n tags: [],\n sport: null,\n };\n updateFilterUI();\n applyFilters();\n syncFiltersToUrl();\n });\n\n document.getElementById('filter-tags')?.addEventListener('input', (e) => {\n const val = (e.target as HTMLInputElement).value;\n filters.tags = val\n .split(',')\n .map((s) => s.trim().toLowerCase())\n .filter((s) => !!s);\n applyFilters();\n syncFiltersToUrl();\n });\n\n // Keyboard shortcuts\n document.addEventListener('keydown', (e) => {\n if (e.key === 'Escape') {\n MapView.hideCursor();\n MapView.closePopup?.();\n // Dismiss popups and modals\n document\n .querySelectorAll(\n '.color-picker-popup, .metric-menu-popup, .sort-menu-popup, .modal-backdrop',\n )\n .forEach((el) => el.remove());\n }\n });\n\n // Resize charts when window changes\n window.addEventListener('resize', () => {\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n updateToolbarLayout();\n });\n}\n\nasync function init() {\n // Wait for fonts to be loaded with a cleaned-up timeout\n let fontTimerId: number | null = null;\n const fontTimeout = new Promise((resolve) => {\n fontTimerId = window.setTimeout(resolve, 1000);\n });\n try {\n const fontLoadPromise = document.fonts\n ? Promise.all([\n document.fonts.load('24px \"Material Symbols Rounded\"').catch(() => {}),\n document.fonts.ready,\n ])\n : Promise.resolve();\n await Promise.race([fontLoadPromise, fontTimeout]);\n } finally {\n if (fontTimerId !== null) window.clearTimeout(fontTimerId);\n }\n document.body.classList.remove('loading-fonts');\n\n initBenchmarkTriggers();\n await preloadBenchmarkFiles();\n\n // Signal to Speedometer test harness that asynchronous initialization has completed\n // and benchmark step triggers are bound.\n const readyEl = document.createElement('div');\n readyEl.id = 'app-is-ready';\n readyEl.setAttribute('data-ready', 'true');\n readyEl.style.display = 'none';\n document.body.appendChild(readyEl);\n\n const camelReadyEl = document.createElement('div');\n camelReadyEl.id = 'appIsReady';\n camelReadyEl.setAttribute('data-ready', 'true');\n camelReadyEl.style.display = 'none';\n document.body.appendChild(camelReadyEl);\n}\n\nlet preloadedBenchmarkPayloads:\n | {\n cleanName: string;\n buf: ArrayBuffer;\n text?: string;\n file: File;\n }[]\n | null = null;\n\nasync function preloadBenchmarkFiles(): Promise<\n { cleanName: string; buf: ArrayBuffer; text?: string; file: File }[]\n> {\n if (preloadedBenchmarkPayloads) return preloadedBenchmarkPayloads;\n try {\n const manifestResp = await fetch('./test-data/manifest.json');\n const fileNames: string[] = await manifestResp.json();\n const decoder = new TextDecoder();\n preloadedBenchmarkPayloads = await Promise.all(\n fileNames.map(async (name) => {\n const fileResp = await fetch(`./test-data/${name}`);\n let buf = await fileResp.arrayBuffer();\n let cleanName = name;\n if (name.toLowerCase().endsWith('.gz')) {\n cleanName = name.slice(0, -3);\n const bytes = new Uint8Array(buf);\n if (bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b) {\n const ds = new DecompressionStream('gzip');\n const stream = new Blob([buf]).stream().pipeThrough(ds);\n buf = await new Response(stream).arrayBuffer();\n }\n }\n const text = cleanName.toLowerCase().endsWith('.fit') ? undefined : decoder.decode(buf);\n const file = new File([buf], cleanName, { type: 'application/octet-stream' });\n (file as any)._buf = buf;\n if (text !== undefined) (file as any)._text = text;\n return { cleanName, buf, text, file };\n }),\n );\n if (typeof (window as any).__resetBenchmarkSeed === 'function') {\n (window as any).__resetBenchmarkSeed();\n }\n return preloadedBenchmarkPayloads;\n } catch {\n return [];\n }\n}\n\nfunction initBenchmarkTriggers() {\n const btnLoad = document.getElementById('btn-step-load');\n const btnAnalysis = document.getElementById('btn-step-analysis');\n const btnInsights = document.getElementById('btn-step-insights');\n const btnDetails = document.getElementById('btn-step-details');\n const btnAggregate = document.getElementById('btn-step-aggregate');\n const btnEvolution = document.getElementById('btn-step-evolution');\n const btnCourses = document.getElementById('btn-step-courses');\n\n function activateTab(tabName: string) {\n document.querySelectorAll('.tab-btn').forEach((b) => {\n b.classList.toggle('active', (b as HTMLElement).dataset.tab === tabName);\n });\n document.querySelectorAll('.tab-content').forEach((c) => {\n c.classList.toggle('active', c.id === `tab-${tabName}`);\n });\n UrlState.patch({ tab: tabName }, false);\n }\n\n btnLoad?.addEventListener('click', async () => {\n try {\n await initAppSubsystems();\n const payloads = await preloadBenchmarkFiles();\n const loadedFiles: File[] = payloads.map((p) => p.file);\n await handleFiles(loadedFiles, true);\n const allTracks = Object.values(tracks);\n Parsers.findOverlaps(allTracks);\n\n // Exercise sidebar track list sorting and filtering across distinct criteria\n for (const sortMode of ['dist-desc', 'dur-desc', 'date-asc', 'date-desc']) {\n currentSort = sortMode;\n renderTrackList();\n }\n filters.sport = 'cycling';\n applyFilters();\n filters.sport = null;\n filters.metrics.add('power');\n applyFilters();\n filters.metrics.clear();\n searchQuery = 'Alpine';\n applyFilters();\n searchQuery = '';\n applyFilters();\n\n if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id, true, true);\n } finally {\n window.dispatchEvent(new CustomEvent('load-and-parse-complete'));\n }\n });\n\n btnAnalysis?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('graphs');\n if (!selectedId && allTracks.length > 0) {\n selectTrack(allTracks[0].id, false, true);\n }\n const availableMetrics = ChartView.getAvailableMetrics();\n const metricSets = [['elevation', 'speed', 'power']];\n for (const mSet of metricSets) {\n const filtered = mSet.filter((m) => availableMetrics.has(m));\n if (filtered.length > 0) {\n document.querySelectorAll('#metric-pills .metric-pill').forEach((el) => {\n const metric = (el as HTMLElement).dataset.metric;\n if (metric) el.classList.toggle('active', filtered.includes(metric));\n });\n updateToolbarLayout();\n ChartView.setActiveMetrics(filtered);\n }\n }\n\n // Exercise smoothing, map metric coloring, and X-axis mode switching\n ChartView.setSmooth('power', true, true);\n ChartView.toggleMapColor('power', true);\n ChartView.toggleMapColor(null, true);\n ChartView.setXAxis('distance');\n ChartView.setSmooth('power', false, true);\n ChartView.setXAxis('time');\n\n // Analyze distinct sections of the track (Opening Climb & Main Analysis Window)\n const sections: [number, number, number][] = [\n [0, 360, 180],\n [120, 900, 300],\n ];\n for (const [secStart, secEnd, cursorIdx] of sections) {\n ChartView.restoreSelection(secStart, secEnd, true);\n ChartView.setCursorAt(cursorIdx, true);\n ChartView.analyzeTelemetryIntervals(allTracks, secStart, secEnd);\n onChartRangeChange(secStart, secEnd, ChartView.getXAxis(), false);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('analysis-complete'));\n }\n });\n\n btnInsights?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n allTracks.forEach((t) => Parsers.ensureCurvesAndZones(t));\n activateTab('insights');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n // Analyze insights across GPX, TCX, and FIT tracks and across distinct track sections (Opening, Middle, Final thirds, Full)\n for (const tIdx of [1, 2, 4]) {\n const trk = allTracks[tIdx];\n if (trk) {\n renderInsights(trk, allTracks, [0, 600]);\n renderInsights(trk, allTracks, null);\n }\n }\n if (allTracks[3]) {\n renderInsights(allTracks[3], allTracks, [200, 900]);\n }\n if (primaryTrack) {\n renderInsights(primaryTrack, allTracks, [0, 600]);\n renderInsights(primaryTrack, allTracks, [600, 1200]);\n }\n renderInsights(primaryTrack, allTracks, null);\n } finally {\n window.dispatchEvent(new CustomEvent('insights-complete'));\n }\n });\n\n btnDetails?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('details');\n const globalTags = getGlobalTags();\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n // Render and analyze telemetry details, splits, gear matrices, and zones across all 6 tracks and terrain sections\n for (let i = 0; i < allTracks.length; i++) {\n renderDetails(allTracks[i], globalTags, allTracks, null);\n }\n if (primaryTrack) {\n renderDetails(primaryTrack, globalTags, allTracks, [0, 450]);\n renderDetails(primaryTrack, globalTags, allTracks, [450, 950]);\n renderDetails(primaryTrack, globalTags, allTracks, [950, 1450]);\n }\n if (allTracks[1]) {\n renderDetails(allTracks[1], globalTags, allTracks, [150, 750]);\n }\n if (allTracks[2]) {\n renderDetails(allTracks[2], globalTags, allTracks, [200, 800]);\n }\n if (allTracks[3]) {\n renderDetails(allTracks[3], globalTags, allTracks, [200, 900]);\n }\n if (allTracks[4]) {\n renderDetails(allTracks[4], globalTags, allTracks, [0, 600]);\n renderDetails(allTracks[4], globalTags, allTracks, [600, 1200]);\n }\n if (allTracks[5]) {\n renderDetails(allTracks[5], globalTags, allTracks, [150, 750]);\n }\n renderDetails(primaryTrack, globalTags, allTracks, null);\n } finally {\n window.dispatchEvent(new CustomEvent('details-complete'));\n }\n });\n\n btnAggregate?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n if (allTracks.length >= 2) {\n activateTab('combined');\n // 1. Exercise single-track 2D scatter/trail mode across metric pairs, Polar & Cartesian, and timeline sections\n setCombinedMetrics('distance', 'elevation');\n renderCombined(allTracks[0], allTracks);\n for (const frac of [0.25, 0.5, 0.75, 1.0]) {\n setCombinedSliderProgress(frac);\n }\n setCombinedPolar(true);\n setCombinedSliderProgress(0.5);\n setCombinedPolar(false);\n setCombinedMetrics('power', 'hr');\n for (const frac of [0.3, 0.7]) {\n setCombinedSliderProgress(frac);\n }\n\n // 2. Exercise multi-track comparison mode across all 6 tracks and a selected pair\n if (allTracks.length >= 6) {\n renderCombined(allTracks, allTracks);\n }\n const selectedTwo = [allTracks[0], allTracks[1]];\n renderCombined(selectedTwo, allTracks);\n }\n } finally {\n window.dispatchEvent(new CustomEvent('aggregate-complete'));\n }\n });\n\n btnEvolution?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('evolution');\n const primaryTrack = (selectedId && tracks[selectedId]) || allTracks[0] || null;\n const onSelectCb = (trackId: string, range: [number, number] | null) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n };\n\n // Exercise evolution view across different reference tracks, groupings ('month' & 'week'), time ranges, and pinned durations\n const refTracks = [allTracks[2] || primaryTrack, primaryTrack];\n for (const refTrk of refTracks) {\n renderEvolution(refTrk, allTracks, onSelectCb);\n setEvolutionGrouping('month');\n for (const rng of ['1m', '6m', '1y', 'all']) {\n setEvolutionRange(rng);\n }\n setEvolutionGrouping('week');\n for (const dur of [5, 60, 300, 1200, null]) {\n setEvolutionPinnedDuration(dur);\n }\n }\n } finally {\n window.dispatchEvent(new CustomEvent('evolution-complete'));\n }\n });\n\n btnCourses?.addEventListener('click', () => {\n try {\n const allTracks = Object.values(tracks);\n activateTab('courses');\n prepareBenchmarkCourses(allTracks);\n const courseIds = getBenchmarkCourseIds();\n for (const cId of courseIds) {\n selectCourse(cId, true);\n }\n selectCourse('course-1', true);\n } finally {\n window.dispatchEvent(new CustomEvent('courses-complete'));\n }\n });\n\n (window as any).benchmarkSteps = {\n loadAndParseFiles: () => document.getElementById('btn-step-load')?.click(),\n displayAnalysisMetrics: () => document.getElementById('btn-step-analysis')?.click(),\n displayInsights: () => document.getElementById('btn-step-insights')?.click(),\n displayDetails: () => document.getElementById('btn-step-details')?.click(),\n displayAggregateMetrics: () => document.getElementById('btn-step-aggregate')?.click(),\n displayEvolutionMetrics: () => document.getElementById('btn-step-evolution')?.click(),\n displayCourses: () => document.getElementById('btn-step-courses')?.click(),\n };\n}\n\nasync function processAndLoadTrack(t: TrackData) {\n // Migration: re-calculate stats if new insights are missing or old format\n const powerCurveEntries = t.stats.powerCurve ? Object.values(t.stats.powerCurve) : [];\n\n const needsEnrich =\n t.points.length > 1 && (t.points[1].speed === undefined || t.points[1].gradient === undefined);\n\n const needsRecalc =\n needsEnrich ||\n !t.stats.powerCurve ||\n !t.stats.hrZones ||\n !t.stats.hrCurve ||\n t.stats.shifts === undefined ||\n t.stats.avgBattery === undefined ||\n t.stats.avgTemp === undefined ||\n (powerCurveEntries.length > 0 && typeof (powerCurveEntries[0] as any) === 'number') ||\n ((t.stats.duration || 0) > 10800 * 1000 && t.stats.powerCurve && !t.stats.powerCurve[14400]);\n\n if (needsRecalc) {\n if (needsEnrich) t.points = Parsers.enrichPoints(t.points);\n t.stats = Parsers.computeStats(t.points);\n await Storage.save(t);\n }\n\n tracks[t.id] = t;\n colorIdx = Math.max(colorIdx, TRACK_COLORS.indexOf(t.color) + 1);\n MapView.addTrack(t);\n MapView.setTrackVisible(t.id, t.visible && !t._filtered);\n renderTrackList(); // Progressive list update\n}\n\nfunction initResizeHandle() {\n const handle = document.getElementById('resize-handle');\n const panel = document.getElementById('chart-panel');\n if (!handle || !panel) return;\n\n let isDragging = false;\n\n handle.addEventListener('mousedown', () => {\n isDragging = true;\n document.body.style.cursor = 'ns-resize';\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const h = window.innerHeight - e.clientY;\n const clampedH = Math.max(100, Math.min(window.innerHeight - 100, h));\n panel.style.height = `${clampedH}px`;\n ChartView.resize();\n resizeCombined();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n document.body.style.cursor = '';\n });\n}\n\nfunction initSidebarResizer() {\n const resizer = document.getElementById('sidebar-resizer');\n const sidebar = document.getElementById('sidebar');\n if (!resizer || !sidebar) return;\n\n let isDragging = false;\n\n resizer.addEventListener('mousedown', () => {\n isDragging = true;\n resizer.classList.add('dragging');\n document.body.classList.add('dragging-sidebar');\n });\n\n document.addEventListener('mousemove', (e) => {\n if (!isDragging) return;\n const w = e.clientX;\n const clampedW = Math.max(200, Math.min(600, w));\n sidebar.style.width = `${clampedW}px`;\n sidebar.style.setProperty('--sidebar-w', `${clampedW}px`);\n ChartView.resize();\n MapView.invalidateSize?.();\n });\n\n document.addEventListener('mouseup', () => {\n if (!isDragging) return;\n isDragging = false;\n resizer.classList.remove('dragging');\n document.body.classList.remove('dragging-sidebar');\n });\n}\n\n// \u2500\u2500 Event Handlers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\nfunction onMapMove(lat: number, lng: number, zoom: number) {\n UrlState.patch({ map_pos: [lat, lng, zoom] });\n}\n\nfunction onMapPointClick(id: string, idx: number) {\n selectTrack(id, false);\n ChartView.setCursorAt(idx);\n}\n\nfunction onMapDblClick() {\n // MapView.fitAll();\n}\n\nfunction onChartCursorMove(pt: TrackPoint | null) {\n if (pt && pt.lat != null && pt.lon != null) {\n MapView.showCursorAt(pt.lat, pt.lon);\n if (followDot) MapView.centerOn(pt.lat, pt.lon, null, true);\n } else {\n MapView.hideCursor();\n }\n}\n\nfunction onChartRangeChange(min: number | null, max: number | null, axis: string, fit = false) {\n if (!selectedId || !tracks[selectedId]) return;\n const t = tracks[selectedId];\n\n if (min === null || max === null) {\n MapView.clearHighlight();\n if (t && (UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n UrlState.patch({ sel: null });\n return;\n }\n\n // Find point indices\n const pts = t.points;\n let iMin = 0,\n iMax = pts.length - 1;\n\n if (axis === 'distance') {\n const d0 = min * 1000,\n d1 = max * 1000;\n iMin = pts.findIndex((p) => (p.dist || 0) >= d0);\n iMax = pts.findIndex((p) => (p.dist || 0) >= d1);\n } else {\n const t0 = pts.find((p) => p.time != null)?.time || 0;\n const ts0 = t0 + min * 1000,\n ts1 = t0 + max * 1000;\n iMin = pts.findIndex((p) => (p.time || 0) >= ts0);\n iMax = pts.findIndex((p) => (p.time || 0) >= ts1);\n }\n\n if (iMin === -1) iMin = 0;\n if (iMax === -1) iMax = pts.length - 1;\n\n // Compute selection stats\n const selPts = pts.slice(iMin, iMax + 1);\n const stats = Parsers.computeStats(selPts);\n ChartView.setSelectionStats(stats);\n if ((UrlState.get().tab || 'graphs') === 'insights') renderInsights(t);\n\n MapView.highlightSegment(selectedId, pts, iMin, iMax, fit, currentMapColors);\n MapView.ensureVisible(selPts.map((p) => [p.lat, p.lon] as [number, number]));\n UrlState.patch({ sel: [min, max] });\n}\n\nfunction onChartClick(pt: TrackPoint, idx: number) {\n if (pt && pt.lat != null && pt.lon != null) MapView.centerOn(pt.lat, pt.lon, POINT_ZOOM_LEVEL);\n}\n\nexport function selectTrack(id: string, fit = true, deferChartRender = false) {\n if (!tracks[id]) return;\n if (id === selectedId) {\n if (fit) MapView.fitTrack(id);\n return;\n }\n\n const hadSelected = selectedId !== null;\n if (hadSelected) {\n // Clear current views immediately before loading new data\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n }\n\n selectedId = id;\n\n // Fully reset metric coloring when switching tracks\n currentMapColors = null;\n MapView.clearMetricColor(id);\n if (hadSelected) {\n ChartView.toggleMapColor(null); // Ensure ChartView state also resets\n }\n\n // Clear selection on new track\n UrlState.patch({ track: id, sel: null }, true);\n if (hadSelected) {\n ChartView.cancelSelection();\n }\n\n // Update UI immediately\n renderTrackList();\n\n // Render details\n const activeTab = UrlState.get().tab || 'graphs';\n if (activeTab === 'details') renderDetails(tracks[id], getGlobalTags());\n if (activeTab === 'insights') renderInsights(tracks[id]);\n if (activeTab === 'combined') renderCombined(tracks[id]);\n if (activeTab === 'courses') renderCourses();\n if (activeTab === 'evolution') {\n renderEvolution(tracks[id], Object.values(tracks), (trackId, range) => {\n selectTrack(trackId, true);\n if (range) {\n ChartView.restoreSelection(range[0], range[1]);\n onChartRangeChange(range[0], range[1], 'time', true);\n }\n });\n }\n\n // Tell sub-views\n MapView.setSelectedTrack(id, fit);\n if (fit) MapView.fitTrack(id);\n ChartView.loadTrack(tracks[id], Object.values(tracks), deferChartRender);\n}\n\nasync function deleteTrack(id: string) {\n await Storage.remove(id);\n MapView.removeTrack(id);\n delete tracks[id];\n if (selectedId === id) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n UrlState.patch({ track: null, sel: null, sel_point: null });\n }\n applyFilters();\n}\n\nasync function clearAll() {\n const code = Math.floor(10 + Math.random() * 90).toString();\n\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n backdrop.innerHTML = `\n
\n
Delete all tracks?
\n
\n This will permanently remove all tracks from your browser storage. This action cannot be undone.\n
\n
\n
Enter \"${code}\" to confirm:
\n \n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const input = backdrop.querySelector('.modal-input') as HTMLInputElement;\n const btnConfirm = backdrop.querySelector('.modal-btn.confirm') as HTMLButtonElement;\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n\n input.focus();\n\n input.addEventListener('input', () => {\n btnConfirm.disabled = input.value !== code;\n });\n\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n\n btnConfirm.addEventListener('click', async () => {\n if (input.value !== code) return;\n close();\n\n cancelProcessing = true;\n await Storage.clear();\n\n tracks = {};\n selectedId = null;\n MapView.clearHighlight();\n window.location.reload();\n });\n}\n\nfunction applyFilters(skipRender = false) {\n const ids = Object.keys(tracks);\n ids.forEach((id) => {\n const t = tracks[id];\n const s = t.stats;\n let visible = true;\n\n // Search query\n if (searchQuery) {\n if (searchRegex) {\n try {\n const re = new RegExp(searchQuery, 'i');\n if (!re.test(t.name)) visible = false;\n } catch (e) {\n visible = false;\n }\n } else {\n if (!t.name.toLowerCase().includes(searchQuery.toLowerCase())) visible = false;\n }\n }\n\n // Date filter\n if (visible && (filters.date[0] || filters.date[1])) {\n const start = filters.date[0] ? new Date(filters.date[0]).getTime() : 0;\n const end = filters.date[1] ? new Date(filters.date[1]).getTime() : Infinity;\n const t0 = s.startTime || 0;\n if (t0 < start || t0 > end) visible = false;\n }\n\n // Distance filter\n if (visible && (filters.dist[0] !== null || filters.dist[1] !== null)) {\n const min = (filters.dist[0] || 0) * 1000;\n const max = (filters.dist[1] || Infinity) * 1000;\n if (s.totalDist < min || s.totalDist > max) visible = false;\n }\n\n // Duration filter\n if (visible && (filters.dur[0] !== null || filters.dur[1] !== null)) {\n const min = (filters.dur[0] || 0) * 60000;\n const max = (filters.dur[1] || Infinity) * 60000;\n const d = s.duration || 0;\n if (d < min || d > max) visible = false;\n }\n\n // Metrics filter\n if (visible && filters.metrics.size > 0) {\n for (const m of filters.metrics) {\n const field = ChartView.METRICS[m].field;\n if (!t.points.some((p: any) => p[field] != null)) {\n visible = false;\n break;\n }\n }\n }\n\n // Sport filter\n if (visible && filters.sport) {\n if (t.sport !== filters.sport) visible = false;\n }\n\n // Tags filter\n if (visible && filters.tags.length > 0) {\n const trackTags = t.tags || [];\n if (!filters.tags.every((ft) => trackTags.includes(ft))) visible = false;\n }\n\n t._filtered = !visible;\n MapView.setTrackVisible(t.id, t.visible && visible);\n });\n\n if (!skipRender) renderTrackList();\n}\n\nfunction updateFilterUI() {\n (document.getElementById('filter-date-start') as HTMLInputElement).value = filters.date[0] || '';\n (document.getElementById('filter-date-end') as HTMLInputElement).value = filters.date[1] || '';\n (document.getElementById('filter-dist-min') as HTMLInputElement).value =\n filters.dist[0] !== null ? String(filters.dist[0]) : '';\n (document.getElementById('filter-dist-max') as HTMLInputElement).value =\n filters.dist[1] !== null ? String(filters.dist[1]) : '';\n (document.getElementById('filter-dur-min') as HTMLInputElement).value =\n filters.dur[0] !== null ? String(filters.dur[0]) : '';\n (document.getElementById('filter-dur-max') as HTMLInputElement).value =\n filters.dur[1] !== null ? String(filters.dur[1]) : '';\n (document.getElementById('filter-tags') as HTMLInputElement).value = filters.tags.join(', ');\n\n document\n .querySelectorAll('#sport-filter-container .mini-pill, #sport-dropdown-content .dropdown-item')\n .forEach((el) => {\n const item = el as HTMLElement;\n item.classList.toggle('active', (item.dataset.sport || '') === (filters.sport || ''));\n });\n\n document.querySelectorAll('#filter-metrics .mini-pill').forEach((el) => {\n const btn = el as HTMLElement;\n btn.classList.toggle('active', filters.metrics.has(btn.dataset.metric!));\n });\n\n const activeCount =\n (filters.date[0] ? 1 : 0) +\n (filters.date[1] ? 1 : 0) +\n (filters.dist[0] !== null ? 1 : 0) +\n (filters.dist[1] !== null ? 1 : 0) +\n (filters.dur[0] !== null ? 1 : 0) +\n (filters.dur[1] !== null ? 1 : 0) +\n filters.metrics.size +\n (filters.tags.length > 0 ? 1 : 0);\n\n const badge = document.querySelector('#btn-toggle-filters .btn-badge');\n if (badge) {\n badge.textContent = activeCount > 0 ? String(activeCount) : '';\n badge.classList.toggle('hidden', activeCount === 0);\n }\n}\n\nfunction updateSearchSortUI() {\n const searchInput = document.getElementById('track-search') as HTMLInputElement;\n if (searchInput) searchInput.value = searchQuery;\n document.getElementById('btn-regex-toggle')?.classList.toggle('active', searchRegex);\n\n const opt = SORT_OPTIONS.find((o) => o.val === currentSort);\n if (opt) {\n const labelEl = document.getElementById('sort-current-label');\n const iconEl = document.getElementById('sort-current-icon');\n if (labelEl)\n labelEl.textContent = opt.label\n .replace(' first', '')\n .replace(' distance', '')\n .replace(' duration', '');\n if (iconEl) iconEl.textContent = opt.icon;\n }\n}\n\nfunction applyState(urlState: AppState) {\n // Restore track\n const newTrackId = urlState.track;\n if (newTrackId !== selectedId) {\n if (newTrackId && tracks[newTrackId]) {\n selectTrack(newTrackId, true);\n } else if (!newTrackId && selectedId) {\n selectedId = null;\n ChartView.clear();\n renderDetails(null, []);\n renderInsights(null);\n renderTrackList();\n MapView.fitAll();\n }\n }\n\n // Restore basemap\n if (urlState.map && typeof urlState.map === 'string') {\n MapView.switchBasemap(urlState.map);\n document\n .querySelectorAll('.bm-btn')\n .forEach((b) =>\n b.classList.toggle('active', (b as HTMLElement).dataset.layer === urlState.map),\n );\n }\n\n // Restore map position\n if (urlState.map_pos) {\n const [lat, lng, zoom] = urlState.map_pos;\n MapView.setPosition(lat, lng, zoom);\n }\n\n // Restore tab\n if (urlState.tab) {\n document.querySelectorAll('.tab-btn').forEach((btn) => {\n const b = btn as HTMLElement;\n if (b.dataset.tab === urlState.tab) {\n if (!b.classList.contains('active')) b.click();\n }\n });\n }\n\n // Restore x-axis mode\n if (urlState.xaxis) ChartView.setXAxis(urlState.xaxis);\n\n const currentXAxis = urlState.xaxis || 'time';\n document\n .querySelectorAll('#x-axis-ctrl .seg-btn')\n .forEach((b) => b.classList.toggle('active', (b as HTMLElement).dataset.axis === currentXAxis));\n\n // Restore active metrics\n if (urlState.metrics) {\n const metrics = ChartView.METRICS;\n const keys = urlState.metrics\n .map((abbr) => Object.keys(metrics).find((k) => metrics[k].abbr === abbr))\n .filter((k): k is string => k !== undefined);\n if (keys.length) ChartView.setActiveMetrics(keys);\n }\n\n // Restore filters\n if (urlState.f_date)\n filters.date = urlState.f_date.map((v) => v || null) as [string | null, string | null];\n if (urlState.f_dist)\n filters.dist = urlState.f_dist.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_dur)\n filters.dur = urlState.f_dur.map((v) => (v === 0 ? 0 : v || null)) as [\n number | null,\n number | null,\n ];\n if (urlState.f_mets) filters.metrics = new Set(urlState.f_mets);\n if (urlState.f_tags) filters.tags = urlState.f_tags;\n\n updateFilterUI();\n\n if (urlState.q) searchQuery = urlState.q;\n if (urlState.re) searchRegex = urlState.re;\n if (urlState.sort) currentSort = urlState.sort;\n updateSearchSortUI();\n\n applyFilters();\n}\n\nfunction updateSportFilterOptions() {\n const container = document.getElementById('sport-filter-container');\n if (!container) return;\n\n const commonContainer = document.getElementById('common-sports');\n const dropdownContent = document.getElementById('sport-dropdown-content');\n if (!commonContainer || !dropdownContent) return;\n\n const sports = new Set();\n Object.values(tracks).forEach((t) => {\n if (t.sport) sports.add(t.sport);\n });\n\n const sportsArray = Array.from(sports).sort();\n const burgerDropdown = document.getElementById('sport-burger-dropdown');\n\n commonContainer.innerHTML = '';\n dropdownContent.innerHTML = '';\n\n if (sportsArray.length <= 4) {\n if (burgerDropdown) burgerDropdown.style.display = 'none';\n\n sportsArray.forEach((sport) => {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n });\n } else {\n if (burgerDropdown) burgerDropdown.style.display = 'inline-block';\n\n const commonSports = ['running', 'cycling', 'walking'];\n\n commonSports.forEach((sport) => {\n if (sports.has(sport)) {\n const btn = document.createElement('button');\n btn.className = `mini-pill${filters.sport === sport ? ' active' : ''}`;\n btn.dataset.sport = sport;\n btn.title = sport.charAt(0).toUpperCase() + sport.slice(1);\n btn.innerHTML = `${getSportIcon(sport)}`;\n commonContainer.appendChild(btn);\n }\n });\n\n sportsArray.forEach((sport) => {\n const item = document.createElement('div');\n item.className = `dropdown-item${filters.sport === sport ? ' active' : ''}`;\n item.dataset.sport = sport;\n item.style.padding = '8px';\n item.style.cursor = 'pointer';\n item.style.display = 'flex';\n item.style.alignItems = 'center';\n item.style.gap = '8px';\n item.innerHTML = `\n ${getSportIcon(sport)}\n ${sport.charAt(0).toUpperCase() + sport.slice(1)}\n `;\n dropdownContent.appendChild(item);\n });\n }\n}\n\nfunction renderTrackList() {\n updateSportFilterOptions();\n const list = document.getElementById('track-list');\n const emptyEl = document.getElementById('track-list-empty') as HTMLElement;\n const headerLabel = document.querySelector('.section-label');\n if (!list) return;\n\n const ids = Object.keys(tracks).filter((id) => !tracks[id]._filtered);\n if (headerLabel) headerLabel.textContent = `Tracks (${ids.length})`;\n\n if (!ids.length) {\n list.innerHTML = '';\n if (emptyEl) {\n list.appendChild(emptyEl);\n emptyEl.style.display = 'block';\n }\n return;\n }\n if (emptyEl) emptyEl.style.display = 'none';\n list.innerHTML = '';\n\n ids\n .sort((a, b) => {\n // Current selected always first\n if (a === selectedId) return -1;\n if (b === selectedId) return 1;\n\n const ta = tracks[a],\n tb = tracks[b];\n const sa = ta.stats,\n sb = tb.stats;\n\n let cmp = 0;\n switch (currentSort) {\n case 'date-asc':\n cmp = (sa.startTime || 0) - (sb.startTime || 0);\n break;\n case 'date-desc':\n cmp = (sb.startTime || 0) - (sa.startTime || 0);\n break;\n case 'dist-asc':\n cmp = (sa.totalDist || 0) - (sb.totalDist || 0);\n break;\n case 'dist-desc':\n cmp = (sb.totalDist || 0) - (sa.totalDist || 0);\n break;\n case 'dur-asc':\n cmp = (sa.duration || 0) - (sb.duration || 0);\n break;\n case 'dur-desc':\n cmp = (sb.duration || 0) - (sa.duration || 0);\n break;\n default:\n cmp = 0;\n }\n return cmp || a.localeCompare(b);\n })\n .forEach((id) => {\n list.appendChild(buildTrackItem(tracks[id]));\n });\n}\n\nfunction getGlobalTags(): string[] {\n const all = new Set();\n Object.values(tracks).forEach((t) => {\n (t.tags || []).forEach((tag) => all.add(tag));\n });\n return Array.from(all).sort();\n}\n\nfunction getSportIcon(sport: string | null): string {\n if (!sport) return 'category';\n const s = sport.toLowerCase();\n if (s.includes('run')) return 'directions_run';\n if (s.includes('cycl') || s.includes('bike')) return 'directions_bike';\n if (s.includes('walk')) return 'directions_walk';\n if (s.includes('swim')) return 'pool';\n if (s.includes('hik')) return 'hiking';\n return 'sports';\n}\n\nfunction buildTrackItem(track: TrackData) {\n const item = document.createElement('div');\n item.className = `track-item${track.id === selectedId ? ' selected' : ''}`;\n item.dataset.id = track.id;\n\n const date =\n track.points.length && track.points[0].time ? fmtDate(track.points[0].time) : 'Unknown date';\n\n const tagsHtml =\n (track.tags || []).length > 0\n ? `
${(track.tags || [])\n .map((t) => {\n const c = getTagColor(t);\n return `${escHtml(t)}`;\n })\n .join('')}
`\n : '';\n\n item.innerHTML = `\n
\n
\n
${escHtml(track.displayName || track.name)}
\n
\n
\n ${date}\n ${Math.round(track.stats.totalDist / 1000)} km\n ${track.sport ? `${getSportIcon(track.sport)}` : ''}\n ${track.format.toUpperCase()}\n
\n \n
\n ${tagsHtml}\n
\n `;\n\n item.addEventListener('click', (e) => {\n if ((e.target as HTMLElement).closest('.icon-btn')) return;\n selectTrack(track.id);\n });\n\n const btnVis = item.querySelector('.toggle-vis') as HTMLElement;\n btnVis.addEventListener('click', () => {\n track.visible = !track.visible;\n btnVis.querySelector('.material-symbols-rounded')!.textContent = track.visible\n ? 'visibility'\n : 'visibility_off';\n MapView.setTrackVisible(track.id, track.visible);\n Storage.save(track);\n });\n\n return item;\n}\n\nfunction showToast(msg: string, type: 'info' | 'error' = 'info') {\n const container = document.getElementById('toast-container');\n if (!container) return;\n container.innerHTML = '';\n const t = document.createElement('div');\n t.className = `toast ${type}`;\n t.textContent = msg;\n container.appendChild(t);\n}\n\nfunction showSkippedImportsModal() {\n const backdrop = document.createElement('div');\n backdrop.className = 'modal-backdrop';\n\n let listHtml = '';\n skippedImports.forEach((s) => {\n listHtml += `
${s.name}: ${s.reason}
`;\n });\n\n backdrop.innerHTML = `\n
\n
Skipped Imports
\n
\n ${listHtml || '
No skipped imports.
'}\n
\n
\n \n \n
\n
\n `;\n\n document.body.appendChild(backdrop);\n\n const btnCancel = backdrop.querySelector('.modal-btn.cancel') as HTMLButtonElement;\n const btnClear = backdrop.querySelector('.modal-btn.clear') as HTMLButtonElement;\n const close = () => backdrop.remove();\n\n btnCancel.addEventListener('click', close);\n btnClear.addEventListener('click', () => {\n skippedImports = [];\n close();\n const importWarning = document.getElementById('import-warning');\n if (importWarning) importWarning.classList.add('hidden');\n });\n\n backdrop.addEventListener('click', (e) => {\n if (e.target === backdrop) close();\n });\n}\n\nfunction initDropZone() {\n const zone = document.getElementById('drop-zone');\n if (!zone) return;\n\n const importWarning = document.getElementById('import-warning');\n if (importWarning) {\n importWarning.addEventListener('click', (e) => {\n e.stopPropagation();\n showSkippedImportsModal();\n });\n }\n\n window.addEventListener('dragover', (e) => {\n e.preventDefault();\n zone.classList.add('drop-active');\n });\n\n window.addEventListener('dragleave', (e) => {\n if (e.relatedTarget === null) zone.classList.remove('drop-active');\n });\n\n window.addEventListener('drop', async (e) => {\n e.preventDefault();\n zone.classList.remove('drop-active');\n\n const items = e.dataTransfer?.items;\n if (!items) return;\n\n const files: File[] = [];\n const queue: FileSystemEntry[] = [];\n\n for (let i = 0; i < items.length; i++) {\n const entry = items[i].webkitGetAsEntry();\n if (entry) queue.push(entry);\n }\n\n async function readAllEntries(entry: FileSystemEntry) {\n if (entry.isFile) {\n const file = await new Promise((res) => (entry as FileSystemFileEntry).file(res));\n files.push(file);\n } else if (entry.isDirectory) {\n const reader = (entry as FileSystemDirectoryEntry).createReader();\n let entries: FileSystemEntry[] = [];\n let chunk: FileSystemEntry[];\n do {\n chunk = await new Promise((res) => reader.readEntries(res));\n entries.push(...chunk);\n } while (chunk.length > 0);\n\n for (const child of entries) await readAllEntries(child);\n }\n }\n\n for (const entry of queue) await readAllEntries(entry);\n\n if (files.length) handleFiles(files);\n });\n}\n\nasync function handleFiles(files: File[], deferChartRender = false) {\n if (!files.length) return;\n cancelProcessing = false;\n const initialSkipCount = skippedImports.length;\n\n const loader = document.getElementById('global-loader');\n const loaderText = document.getElementById('loader-text');\n const loaderSubtext = document.getElementById('loader-subtext');\n const progressBar = document.getElementById('loader-progress-bar') as HTMLElement;\n const loaderClose = document.getElementById('loader-close');\n\n if (loaderClose) {\n loaderClose.addEventListener('click', () => {\n cancelProcessing = true;\n if (loader) loader.classList.add('hidden');\n });\n }\n\n function updateLoaderIconToWarning() {\n const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement;\n if (loaderIcon) {\n loaderIcon.textContent = 'warning';\n loaderIcon.style.color = '#f59e0b';\n }\n const warningCount = document.getElementById('loader-warning-count');\n if (warningCount) {\n const count = skippedImports.length - initialSkipCount;\n const countSpan = warningCount.querySelector('span');\n if (countSpan) countSpan.textContent = `${count}`;\n warningCount.style.display = 'flex';\n }\n }\n\n if (loader) {\n if (loaderText)\n loaderText.textContent = `Importing ${files.length} file${files.length > 1 ? 's' : ''}`;\n const loaderIcon = document.querySelector('.loader-icon-wrap span') as HTMLElement;\n if (loaderIcon) {\n loaderIcon.textContent = 'download';\n loaderIcon.style.color = 'var(--accent)';\n }\n const warningCount = document.getElementById('loader-warning-count');\n if (warningCount) {\n warningCount.style.display = 'none';\n const countSpan = warningCount.querySelector('span');\n if (countSpan) countSpan.textContent = '0';\n }\n if (loaderSubtext) loaderSubtext.textContent = '';\n if (progressBar) progressBar.style.width = '0%';\n loader.classList.remove('hidden');\n\n if (skippedImports.length > initialSkipCount) updateLoaderIconToWarning();\n }\n\n try {\n let count = 0;\n let firstId: string | null = null;\n let processedSinceLastUpdate = 0;\n\n // Filter out obviously invalid files early\n const validFiles = files.filter((f) => {\n const name = f.name.toLowerCase();\n return (\n name.endsWith('.gpx') ||\n name.endsWith('.fit') ||\n name.endsWith('.tcx') ||\n name.endsWith('.kml')\n );\n });\n\n const invalidFiles = files.filter((f) => !validFiles.includes(f));\n invalidFiles.forEach((f) => {\n skippedImports.push({ name: f.name, reason: 'Unsupported file format' });\n });\n\n if (validFiles.length === 0) {\n if (files.length > 0) {\n showToast('No valid GPS files found', 'error');\n // Still update warning icon if there were invalid files!\n const importWarning = document.getElementById('import-warning');\n if (importWarning && skippedImports.length > 0) {\n importWarning.classList.remove('hidden');\n importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`;\n }\n }\n return;\n }\n\n const loaderFilename = document.getElementById('loader-filename');\n let progressIdxEl: HTMLElement | null = null;\n if (loaderSubtext) {\n loaderSubtext.innerHTML =\n '';\n progressIdxEl = loaderSubtext.querySelector('.progress-index') as HTMLElement | null;\n const totalEl = loaderSubtext.querySelector('.progress-total');\n if (totalEl) totalEl.textContent = validFiles.length.toString();\n }\n\n for (let i = 0; i < validFiles.length; i++) {\n if (cancelProcessing) break;\n const f = validFiles[i];\n if (loaderFilename) loaderFilename.textContent = f.name;\n if (progressIdxEl) progressIdxEl.textContent = (i + 1).toString();\n if (progressBar) progressBar.style.width = `${(i / validFiles.length) * 100}%`;\n\n try {\n const data = await Parsers.parseFile(f);\n\n // Duplicate checks\n const existingTracks = Object.values(tracks);\n\n // Rule 1: Same file and same size\n const sameFile = existingTracks.find((t) => t.fileName === f.name && t.fileSize === f.size);\n if (sameFile) {\n skippedImports.push({ name: f.name, reason: 'Same File' });\n updateLoaderIconToWarning();\n continue;\n }\n\n // Rule 2 & 3: Same start day checks\n const newStart = data.stats.startTime;\n const newDuration = data.stats.duration;\n\n if (newStart != null && newDuration != null) {\n const newEnd = newStart + newDuration;\n const sameDayTracks = existingTracks.filter(\n (t) => t.stats.startTime != null && isSameDay(newStart, t.stats.startTime!),\n );\n\n let discarded = false;\n for (const ext of sameDayTracks) {\n const extStart = ext.stats.startTime!;\n const extDuration = ext.stats.duration!;\n const extEnd = extStart + extDuration;\n\n // Rule 2: Fully contained\n if (newStart >= extStart && newEnd <= extEnd) {\n skippedImports.push({ name: f.name, reason: 'Fully contained in another track' });\n updateLoaderIconToWarning();\n discarded = true;\n break;\n }\n\n // Rule 3: Overlaps for > 10 mins\n const overlap = Math.min(newEnd, extEnd) - Math.max(newStart, extStart);\n if (overlap > 600000) {\n // 10 mins in ms\n skippedImports.push({\n name: f.name,\n reason: 'Overlaps with an existing track for more than 10 mins',\n });\n updateLoaderIconToWarning();\n discarded = true;\n break;\n }\n }\n if (discarded) continue;\n }\n\n const fallbackTime = 1785542400000;\n let id = compactId(data.stats.startTime || fallbackTime);\n if (tracks[id]) id += `-${shortRandom()}`;\n\n // Use filename as activity name if internal name is generic\n let trackName = data.name;\n if (trackName.startsWith('Unnamed') || trackName.startsWith('Fit Activity'))\n trackName = f.name;\n\n // Generate a nice display name\n let displayName = trackName;\n const t0 = data.points[0]?.time;\n const sport = data.sport\n ? data.sport.charAt(0).toUpperCase() + data.sport.slice(1)\n : 'Activity';\n if (t0) {\n const d = new Date(t0);\n displayName = `${d.getUTCFullYear()}-${String(d.getUTCMonth() + 1).padStart(2, '0')}-${String(d.getUTCDate()).padStart(2, '0')} ${sport}`;\n } else {\n displayName = trackName.replace(/\\.[^/.]+$/, '').replace(/_/g, ' '); // Remove extension and replace underscores\n }\n\n const track: TrackData = {\n ...data,\n id,\n name: trackName,\n displayName,\n fileName: f.name,\n fileSize: f.size,\n bounds: calculateBounds(data.points) || undefined,\n simplifiedPoints: simplifyTrack(data.points, 50), // 50m resolution\n addedAt: data.stats.startTime || fallbackTime,\n visible: true,\n color: TRACK_COLORS[colorIdx % TRACK_COLORS.length],\n };\n colorIdx++;\n if (cancelProcessing) break;\n\n await Storage.save(track);\n tracks[id] = track;\n MapView.addTrack(track);\n if (!firstId) firstId = id;\n count++;\n processedSinceLastUpdate++;\n\n if (processedSinceLastUpdate >= 5) {\n processedSinceLastUpdate = 0;\n }\n } catch (err) {\n skippedImports.push({\n name: f.name,\n reason: `Parse error: ${err instanceof Error ? err.message : String(err)}`,\n });\n updateLoaderIconToWarning();\n }\n }\n\n // Update warning icon\n const importWarning = document.getElementById('import-warning');\n if (importWarning) {\n if (skippedImports.length > 0) {\n importWarning.classList.remove('hidden');\n importWarning.title = `Skipped ${skippedImports.length} imports. Click to view details.`;\n } else {\n importWarning.classList.add('hidden');\n }\n }\n\n const newWarnings = skippedImports.length > initialSkipCount;\n if (!newWarnings && loader) {\n loader.classList.add('hidden');\n }\n\n if (count > 0) {\n showToast(`Imported ${count} track${count > 1 ? 's' : ''}`);\n applyFilters(!!firstId && firstId !== selectedId);\n if (firstId) selectTrack(firstId, true, deferChartRender);\n }\n\n if (newWarnings) {\n const loaderIcon = document.querySelector('.loader-icon-wrap span');\n if (loaderIcon) loaderIcon.textContent = 'warning';\n // Delay hiding loader to let user see the alert icon\n await new Promise((r) => setTimeout(r, 1500));\n }\n } finally {\n if (loader) loader.classList.add('hidden');\n }\n}\n\nfunction initMetricPillDraggable() {\n const container = document.getElementById('metric-pills');\n if (!container) return;\n\n let draggedEl: HTMLElement | null = null;\n\n container.addEventListener('dragstart', (e) => {\n const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (!target) return;\n draggedEl = target;\n e.dataTransfer!.effectAllowed = 'move';\n target.classList.add('dragging-pill');\n // For transparent background in ghost image\n setTimeout(() => (target.style.opacity = '0.4'), 0);\n });\n\n container.addEventListener('dragover', (e) => {\n e.preventDefault();\n e.dataTransfer!.dropEffect = 'move';\n const target = (e.target as HTMLElement).closest('.metric-pill') as HTMLElement;\n if (target && target !== draggedEl) {\n const rect = target.getBoundingClientRect();\n const next = e.clientX - rect.left > rect.width / 2;\n container.insertBefore(draggedEl!, next ? target.nextSibling : target);\n }\n });\n\n container.addEventListener('dragend', () => {\n if (!draggedEl) return;\n draggedEl.classList.remove('dragging-pill');\n draggedEl.style.opacity = '';\n draggedEl = null;\n\n // Update Chart order\n const keys = Array.from(container.querySelectorAll('.metric-pill')).map(\n (el) => (el as HTMLElement).dataset.metric!,\n );\n ChartView.updateMetricOrder(keys);\n syncMetricsToUrl();\n });\n}\n\nfunction updateToolbarLayout() {\n const toolbar = document.getElementById('chart-toolbar');\n const pills = document.getElementById('metric-pills');\n if (!toolbar || !pills) return;\n\n toolbar.classList.remove('collapsed');\n const availableW = Math.max(0, toolbar.clientWidth - 280);\n let totalW = 0;\n let hidden = false;\n\n Array.from(pills.children).forEach((el) => {\n const htmlEl = el as HTMLElement;\n if (htmlEl.id === 'pill-overflow') return;\n\n htmlEl.classList.remove('overflow-hidden');\n if (!htmlEl.classList.contains('active')) return;\n const metricKey = htmlEl.dataset.metric || '';\n const deterministicPillWidth = 36 + metricKey.length * 6;\n totalW += deterministicPillWidth + 6;\n\n if (totalW > availableW) {\n hidden = true;\n htmlEl.classList.add('overflow-hidden');\n }\n });\n\n const overflowEl = document.getElementById('pill-overflow');\n if (overflowEl) overflowEl.classList.toggle('hidden', !hidden);\n\n if (hidden) toolbar.classList.add('collapsed');\n}\n\ndocument.addEventListener('DOMContentLoaded', init);\n"], + "mappings": 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"hadSelected", "renderDetails", "renderTrackList", "activeTab", "getGlobalTags", "renderCombined", "renderCourses", "renderEvolution", "trackId", "range", "deleteTrack", "Storage", "applyFilters", "clearAll", "code", "backdrop", "input", "btnConfirm", "btnCancel", "close", "cancelProcessing", "skipRender", "s", "visible", "searchQuery", "searchRegex", "filters", "start", "end", "d", "m", "field", "trackTags", "ft", "updateFilterUI", "el", "item", "btn", "activeCount", "badge", "updateSearchSortUI", "searchInput", "opt", "SORT_OPTIONS", "o", "currentSort", "labelEl", "iconEl", "applyState", "urlState", "newTrackId", "b", "currentXAxis", "metrics", "keys", "abbr", "k", "v", "updateSportFilterOptions", "commonContainer", "dropdownContent", "sports", "sportsArray", "burgerDropdown", "sport", "getSportIcon", "list", "emptyEl", "headerLabel", "ids", "a", "ta", "tb", "sa", "sb", "cmp", "buildTrackItem", "all", "tag", "track", "date", "fmtDate", "tagsHtml", "c", "getTagColor", "escHtml", "btnVis", "showToast", "msg", "type", "container", "showSkippedImportsModal", "listHtml", "skippedImports", "btnClear", "importWarning", "initDropZone", "zone", "items", "files", "queue", "i", "entry", "readAllEntries", "file", "res", "reader", "entries", "chunk", "child", "handleFiles", "initialSkipCount", "loader", "loaderText", "loaderSubtext", "progressBar", "loaderClose", "updateLoaderIconToWarning", "loaderIcon", "warningCount", "count", "countSpan", "firstId", "processedSinceLastUpdate", "validFiles", "f", "name", "loaderFilename", "progressIdxEl", "totalEl", "data", "existingTracks", "newStart", "newDuration", "newEnd", "sameDayTracks", "isSameDay", "discarded", "ext", "extStart", "extDuration", "extEnd", "fallbackTime", "compactId", "shortRandom", "trackName", "displayName", "calculateBounds", "simplifyTrack", "TRACK_COLORS", "colorIdx", "err", "newWarnings", "r", "initMetricPillDraggable", "draggedEl", "target", "rect", "next", "syncMetricsToUrl", "updateToolbarLayout", "toolbar", "pills", "availableW", "totalW", "hidden", "htmlEl", "deterministicPillWidth", "overflowEl", "init"] } diff --git a/suites-experimental/tools-gps-tracks/src/app.ts b/suites-experimental/tools-gps-tracks/src/app.ts index 749f0f34de..c17106e117 100644 --- a/suites-experimental/tools-gps-tracks/src/app.ts +++ b/suites-experimental/tools-gps-tracks/src/app.ts @@ -360,24 +360,33 @@ async function resetBenchmarkState() { } // ── Boot ────────────────────────────────────────────────────────── -async function init() { - // Wait for fonts to be loaded with a cleaned-up timeout - let fontTimerId: number | null = null; - const fontTimeout = new Promise((resolve) => { - fontTimerId = window.setTimeout(resolve, 1000); - }); - try { - const fontLoadPromise = document.fonts - ? Promise.all([ - document.fonts.load('24px "Material Symbols Rounded"').catch(() => {}), - document.fonts.ready, - ]) - : Promise.resolve(); - await Promise.race([fontLoadPromise, fontTimeout]); - } finally { - if (fontTimerId !== null) window.clearTimeout(fontTimerId); +let appSubsystemsInitialized = false; + +async function initAppSubsystems() { + if (appSubsystemsInitialized) { + initInsights((msg: string, type?: string) => + showToast(msg, type === 'error' ? 'error' : 'info'), + ); + initDetails( + () => { + applyFilters(); + syncFiltersToUrl(); + }, + (id: string) => { + deleteTrack(id); + }, + ); + initCombined(); + initCourses((msg: string, type?: string) => + showToast(msg, type === 'error' ? 'error' : 'info'), + ); + updateToolbarLayout(); + await Storage.openDB(); + await resetBenchmarkState(); + return; } - document.body.classList.remove('loading-fonts'); + appSubsystemsInitialized = true; + const storageSelect = document.getElementById( 'storage-backend-select', ) as HTMLSelectElement | null; @@ -395,10 +404,6 @@ async function init() { }); } - const loader = document.getElementById('global-loader'); - const loaderText = document.getElementById('loader-text'); - const loaderSubtext = document.getElementById('loader-subtext'); - const progressBar = document.getElementById('loader-progress-bar') as HTMLElement; const mapLoader = document.getElementById('map-loader'); const mapLoaderSpan = mapLoader?.querySelector('span'); @@ -457,121 +462,7 @@ async function init() { // Reset persistent storage and in-memory state for clean multi-iteration benchmark executions await Storage.openDB(); await resetBenchmarkState(); - - // Load persisted tracks - try { - // Load global settings - const hrZones = await Storage.get('hr_zones'); - if (hrZones) Parsers.setHRZones(hrZones); - - const ftp = await Storage.get('ftp'); - if (ftp) Parsers.setFTP(ftp); - - const saved = await Storage.getAll(); - saved.sort((a, b) => a.addedAt - b.addedAt); - - if (mapLoaderSpan) mapLoaderSpan.textContent = `Preparing ${saved.length} tracks...`; - - const tracksToLoad: TrackData[] = []; - for (const t of saved) { - let updated = false; - if (!t.bounds && t.points.length > 0) { - const b = calculateBounds(t.points); - if (b) { - t.bounds = b; - updated = true; - } - } - if (!t.simplifiedPoints && t.points.length > 0) { - t.simplifiedPoints = simplifyTrack(t.points, 50); - updated = true; - } - if (updated) await Storage.save(t); - - tracks[t.id] = t; - tracksToLoad.push(t); - } - MapView.addTracks(tracksToLoad); - applyFilters(); - - const restoreId = - urlState.track && saved.find((t) => t.id === urlState.track) - ? urlState.track - : saved.length > 0 - ? saved[0].id - : null; - - const mapLoader = document.getElementById('map-loader'); - - // 1. Process and load the "Priority" track first - const selectedTrackData = saved.find((t) => t.id === restoreId); - if (selectedTrackData) { - await processAndLoadTrack(selectedTrackData); - selectTrack(selectedTrackData.id, !urlState.map_pos); - - // Explicitly restore selection/pin from URL if they exist - if (urlState.sel && Array.isArray(urlState.sel) && urlState.sel.length === 2) { - requestAnimationFrame(() => { - requestAnimationFrame(() => { - ChartView.restoreSelection(urlState.sel![0], urlState.sel![1]); - }); - }); - } - if (urlState.sel_point !== undefined && urlState.sel_point !== null) { - requestAnimationFrame(() => { - requestAnimationFrame(() => { - ChartView.setCursorAt(urlState.sel_point!); - }); - }); - } - } - - // Hide database loader - if (mapLoader) mapLoader.classList.add('hidden'); - - // 2. Load the rest in background chunks - if (saved.length > (selectedTrackData ? 1 : 0)) { - if (mapLoader) { - if (mapLoaderSpan) mapLoaderSpan.textContent = 'Loading tracks...'; - mapLoader.classList.remove('hidden'); - } - - const remaining = saved.filter((t) => t.id !== restoreId); - let index = 0; - - const loadNextChunk = async () => { - const chunkSize = 2; // Process 2 tracks per frame - const end = Math.min(index + chunkSize, remaining.length); - - for (; index < end; index++) await processAndLoadTrack(remaining[index]); - - if (index < remaining.length) { - requestAnimationFrame(loadNextChunk); - } else { - if (mapLoader) mapLoader.classList.add('hidden'); - applyFilters(); // Final sync - if (selectedId && tracks[selectedId]) { - renderEvolution(tracks[selectedId], Object.values(tracks), (trackId, range) => { - selectTrack(trackId, true); - if (range) { - ChartView.restoreSelection(range[0], range[1]); - onChartRangeChange(range[0], range[1], 'time', true); - } - }); - } - // Only fit all if no saved map position and we just finished loading everything - if (saved.length && !urlState.map_pos) MapView.fitAll(); - } - }; - - requestAnimationFrame(loadNextChunk); - } else { - applyFilters(); - if (saved.length && !urlState.map_pos) MapView.fitAll(); - } - } catch (e) { - console.warn('Could not load saved tracks:', e); - } + if (mapLoader) mapLoader.classList.add('hidden'); // Panel resizers initResizeHandle(); @@ -809,6 +700,26 @@ async function init() { MapView.invalidateSize?.(); updateToolbarLayout(); }); +} + +async function init() { + // Wait for fonts to be loaded with a cleaned-up timeout + let fontTimerId: number | null = null; + const fontTimeout = new Promise((resolve) => { + fontTimerId = window.setTimeout(resolve, 1000); + }); + try { + const fontLoadPromise = document.fonts + ? Promise.all([ + document.fonts.load('24px "Material Symbols Rounded"').catch(() => {}), + document.fonts.ready, + ]) + : Promise.resolve(); + await Promise.race([fontLoadPromise, fontTimeout]); + } finally { + if (fontTimerId !== null) window.clearTimeout(fontTimerId); + } + document.body.classList.remove('loading-fonts'); initBenchmarkTriggers(); await preloadBenchmarkFiles(); @@ -866,73 +777,7 @@ async function preloadBenchmarkFiles(): Promise< return { cleanName, buf, text, file }; }), ); - // Warm up GPX, TCX, and FIT parser and chart code paths during prepare phase - let warmSample: any = null; - for (const idx of [0, 2, 4]) { - if (preloadedBenchmarkPayloads[idx]) { - const parsed = await Parsers.parseFile(preloadedBenchmarkPayloads[idx].file); - if (idx === 0) warmSample = parsed; - } - } - if (warmSample) { - const warmPts = warmSample.points.slice(0, 1250); - const warmTrack: TrackData = { - ...warmSample, - id: 'warmup', - fileName: 'warmup.gpx', - fileSize: 1024, - points: warmPts, - bounds: calculateBounds(warmPts) || undefined, - simplifiedPoints: simplifyTrack(warmPts, 50), - stats: Parsers.computeStats(warmPts), - addedAt: 1785542400000, - visible: true, - color: TRACK_COLORS[0], - }; - const warmTrack2: TrackData = { - ...warmTrack, - id: 'warmup-2', - fileName: 'warmup2.gpx', - addedAt: 1785628800000, - color: TRACK_COLORS[1], - }; - const warmList = [warmTrack, warmTrack2]; - Parsers.ensureCurvesAndZones(warmTrack); - Parsers.ensureCurvesAndZones(warmTrack2); - warmTrack.stats.sections = Parsers.analyzeTrackSections(warmTrack.points); - warmTrack2.stats.sections = Parsers.analyzeTrackSections(warmTrack2.points); - Parsers.findOverlaps(warmList); - MapView.addTracks(warmList); - ChartView.loadTrack(warmTrack, warmList, false); - ChartView.restoreSelection(10, 50, true); - ChartView.setCursorAt(25, true); - ChartView.setSmooth('power', true); - ChartView.setSmooth('power', false); - ChartView.setXAxis('distance'); - ChartView.setXAxis('time'); - ChartView.setActiveMetrics(['elevation', 'speed', 'power']); - ChartView.analyzeTelemetryIntervals(warmList, 10, 50); - renderInsights(warmTrack, warmList, [10, 50]); - renderInsights(warmTrack, warmList); - renderDetails(warmTrack, [], warmList); - renderCombined(warmTrack, warmList); - setCombinedPolar(true); - setCombinedPolar(false); - setCombinedSliderProgress(0.5); - renderCombined(warmList, warmList); - renderEvolution(warmTrack, warmList); - setEvolutionGrouping('month'); - setEvolutionGrouping('week'); - setEvolutionRange('6m'); - setEvolutionRange('all'); - setEvolutionPinnedDuration(60); - setEvolutionPinnedDuration(null); - prepareBenchmarkCourses(warmList); - selectCourse('course-1', true); - await resetBenchmarkState(); - void document.body.offsetHeight; - await new Promise((r) => window.setTimeout(r, 0)); - } else if (typeof (window as any).__resetBenchmarkSeed === 'function') { + if (typeof (window as any).__resetBenchmarkSeed === 'function') { (window as any).__resetBenchmarkSeed(); } return preloadedBenchmarkPayloads; @@ -962,15 +807,10 @@ function initBenchmarkTriggers() { btnLoad?.addEventListener('click', async () => { try { - if (Object.keys(tracks).length > 0 || skippedImports.length > 0 || selectedId !== null) { - await Storage.openDB(); - await resetBenchmarkState(); - } else if (typeof (window as any).__resetBenchmarkSeed === 'function') { - (window as any).__resetBenchmarkSeed(); - } + await initAppSubsystems(); const payloads = await preloadBenchmarkFiles(); const loadedFiles: File[] = payloads.map((p) => p.file); - await handleFiles(loadedFiles); + await handleFiles(loadedFiles, true); const allTracks = Object.values(tracks); Parsers.findOverlaps(allTracks); @@ -990,7 +830,7 @@ function initBenchmarkTriggers() { searchQuery = ''; applyFilters(); - if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id); + if (!selectedId && allTracks.length > 0) selectTrack(allTracks[0].id, true, true); } finally { window.dispatchEvent(new CustomEvent('load-and-parse-complete')); } @@ -1001,13 +841,10 @@ function initBenchmarkTriggers() { const allTracks = Object.values(tracks); activateTab('graphs'); if (!selectedId && allTracks.length > 0) { - selectTrack(allTracks[0].id, false); + selectTrack(allTracks[0].id, false, true); } const availableMetrics = ChartView.getAvailableMetrics(); - const metricSets = [ - ['elevation', 'speed', 'power', 'hr'], - ['elevation', 'speed', 'power'], - ]; + const metricSets = [['elevation', 'speed', 'power']]; for (const mSet of metricSets) { const filtered = mSet.filter((m) => availableMetrics.has(m)); if (filtered.length > 0) { @@ -1054,8 +891,7 @@ function initBenchmarkTriggers() { for (const tIdx of [1, 2, 4]) { const trk = allTracks[tIdx]; if (trk) { - renderInsights(trk, allTracks, [0, 540]); - renderInsights(trk, allTracks, [540, 1140]); + renderInsights(trk, allTracks, [0, 600]); renderInsights(trk, allTracks, null); } } @@ -1063,9 +899,8 @@ function initBenchmarkTriggers() { renderInsights(allTracks[3], allTracks, [200, 900]); } if (primaryTrack) { - renderInsights(primaryTrack, allTracks, [0, 480]); - renderInsights(primaryTrack, allTracks, [480, 960]); - renderInsights(primaryTrack, allTracks, [960, 1440]); + renderInsights(primaryTrack, allTracks, [0, 600]); + renderInsights(primaryTrack, allTracks, [600, 1200]); } renderInsights(primaryTrack, allTracks, null); } finally { @@ -1129,10 +964,7 @@ function initBenchmarkTriggers() { setCombinedSliderProgress(frac); } - // 2. Exercise multi-track comparison mode across regional pairs and all 6 tracks - if (allTracks.length >= 4) { - renderCombined([allTracks[2], allTracks[3]], allTracks); - } + // 2. Exercise multi-track comparison mode across all 6 tracks and a selected pair if (allTracks.length >= 6) { renderCombined(allTracks, allTracks); } @@ -1158,15 +990,15 @@ function initBenchmarkTriggers() { }; // Exercise evolution view across different reference tracks, groupings ('month' & 'week'), time ranges, and pinned durations - const refTracks = [allTracks[2] || primaryTrack, allTracks[4] || primaryTrack, primaryTrack]; + const refTracks = [allTracks[2] || primaryTrack, primaryTrack]; for (const refTrk of refTracks) { renderEvolution(refTrk, allTracks, onSelectCb); setEvolutionGrouping('month'); - for (const rng of ['1m', '2m', '6m', '1y', 'all']) { + for (const rng of ['1m', '6m', '1y', 'all']) { setEvolutionRange(rng); } setEvolutionGrouping('week'); - for (const dur of [5, 30, 60, 300, 1200, null]) { + for (const dur of [5, 60, 300, 1200, null]) { setEvolutionPinnedDuration(dur); } } @@ -2016,7 +1848,7 @@ function initDropZone() { }); } -async function handleFiles(files: File[]) { +async function handleFiles(files: File[], deferChartRender = false) { if (!files.length) return; cancelProcessing = false; const initialSkipCount = skippedImports.length; @@ -2251,7 +2083,7 @@ async function handleFiles(files: File[]) { if (count > 0) { showToast(`Imported ${count} track${count > 1 ? 's' : ''}`); applyFilters(!!firstId && firstId !== selectedId); - if (firstId) selectTrack(firstId); + if (firstId) selectTrack(firstId, true, deferChartRender); } if (newWarnings) { diff --git a/suites-experimental/tools-gps-tracks/src/parsers.ts b/suites-experimental/tools-gps-tracks/src/parsers.ts index 4ea6ca30dc..062e200758 100644 --- a/suites-experimental/tools-gps-tracks/src/parsers.ts +++ b/suites-experimental/tools-gps-tracks/src/parsers.ts @@ -150,7 +150,7 @@ export function simplifyTrack(pts: TrackPoint[], minDistanceMeters: number): Tra dists[i] = p.dist || 0; } - const tolerances = [2, 4, 8, 15, 25, 40, 65, 100]; + const tolerances = [2, 5, 12, 25, 50, 100]; let errChecksum = 0; const degToRad = 0.017453292519943295; for (let ti = 0; ti < tolerances.length; ti++) { @@ -235,7 +235,7 @@ export const Parsers = (() => { pwrBuf[i] = pts[i].power ?? 0; spdBuf[i] = pts[i].speed ?? 0; } - const gradeWindows = [3, 5, 10, 15, 20, 30, 45, 60]; + const gradeWindows = [3, 5, 10, 20, 30, 60]; let npAccum = 0; const scaleH = 1 / 8400; for (let wi = 0; wi < gradeWindows.length; wi++) {