CI skips SQLAlchemy and Spark tests when only shared core modules change

[laughingman7743]

Use case

The Test workflow's changes job (#837) runs the SQLAlchemy tests and the Spark tests of a ready pull request only when files under their own packages change (.github/workflows/test.yaml:125-127):

shared='^(\.github/workflows/test(-suite)?\.yaml|justfile|pyproject\.toml|uv\.lock)$'
sqla="$shared|^pyathena/(aio/)?sqlalchemy/|^tests/sqlalchemy/|^tests/pyathena/(aio/)?sqlalchemy/|^setup\.cfg$"
spark="$shared|^pyathena/(aio/)?spark/|^tests/pyathena/(aio/)?spark/"

Both packages depend on modules outside those paths. Their direct imports on master:

• SQLAlchemy (pyathena/sqlalchemy/, pyathena/aio/sqlalchemy/): pyathena, pyathena.cursor, pyathena.aio.cursor, pyathena.aio.connection, pyathena.converter, pyathena.error, pyathena.formatter, pyathena.model, pyathena.util.
• Spark (pyathena/spark/, pyathena/aio/spark/): pyathena, pyathena.common, pyathena.error, pyathena.model, pyathena.util, pyathena.aio.util.

Through connect() and the cursor base classes, they also depend on pyathena/connection.py and pyathena/common.py.

So a ready pull request that changes only one of those modules does not run the SQLAlchemy compliance suites, tests/pyathena/(aio/)sqlalchemy/, or the Spark tests. For example, a change to strtobool in pyathena/util.py can break SQLAlchemy URL option parsing, and a change to retry_api_call can break Spark session calls, without CI noticing before merge. The weekly schedule and the Release workflow run every suite, so such a regression surfaces only after merge or at release time.

This was found by the independent review of the 3.x backport (#893), which copies master's workflow unchanged.

Proposed change

Run the SQLAlchemy and Spark tests when shared core modules change, not only their own packages. Options:

1. Add the core modules to both patterns. For example, treat ^pyathena/[^/]+\.py$ and ^pyathena/aio/[^/]+\.py$ (top-level modules such as util.py, common.py, connection.py, cursor.py, formatter.py, converter.py, model.py, error.py, aio/util.py) as shared for both.
2. Invert the rule: skip the SQLAlchemy or Spark tests only when every changed file is under a package they do not import (for example pyathena/filesystem/, pyathena/pandas/, docs/).

Option 1 is the smaller change and keeps the cost savings for pull requests limited to the result-set packages or to other features. Apply the same change to the 3.x branch afterwards, whose workflow matches master's after #893.

Validation plan (if implementing)

• Check the changes job output on a Draft-to-Ready pull request that changes only pyathena/util.py: both sqla and spark should be true.
• Check that a pull request changing only pyathena/filesystem/ still skips them.