NayanMathur411 opened a new pull request, #37360:
URL: https://github.com/apache/beam/pull/37360

   Fixes https://github.com/apache/beam/issues/35717
   
   When using `--requirements_file`, the Python SDK downloads wheel packages to 
a cache directory (TEMPDIR/dataflow-requirements-cache), the stager would stage 
all packages in the cache directory, even those not needed by the current 
workflow. This caused unnecessary files to be staged and uploaded.
   
   ### Changes
   
   - Modified `_populate_requirements_cache` to download packages to a 
temporary directory first, then copy to cache. This allows tracking exactly 
which packages are needed for the current requirements file.
   - Updated `create_job_resources` to only stage packages returned by 
`_populate_requirements_cache`, rather than globbing the entire cache directory.
   - Renamed cache directory from `dataflow-requirements-cache` to 
`beam-requirements-cache` (runner-agnostic naming).
   - Added test `test_only_required_packages_staged_from_cache` to verify the 
fix.
   
   ### Example
   
   Before this fix:
   1. Run workflow A with requirements.txt containing numpy, pandas → cache has 
numpy.whl, pandas.whl
   2. Run workflow B with requirements.txt containing scipy → cache now has 
numpy.whl, pandas.whl, scipy.whl
   3. Workflow B stages all 3 packages, even though only scipy is needed
   
   After this fix:
   - Workflow B only stages scipy.whl
   
   ### Testing
   
   - Existing `stager_test.py` tests pass
   - New test `test_only_required_packages_staged_from_cache` verifies only 
required packages are staged
   
   ------------------------
   
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