Fix bug when execute DataframeTransform a dictionary of Pcoll

[DKER2]

addresses #30445

Fix duplicate transform function name by giving custom label (key in dicts of dataframes) instead of using default label as in this line it will take the first two characters of the variable name to construct the label, so if two variables start with the same two characters(e.g pcol1, pcol2), there will a conflict

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[gemini-code-assist]

Summary of Changes

Hello @DKER2, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request addresses a bug in DataframeTransform within Apache Beam's Python SDK, specifically when it processes a dictionary of PCollections. The fix involves correctly passing an additional argument during the conversion of PCollections to DataFrames, ensuring proper handling of multiple inputs. A new test case has been added to validate this functionality. Additionally, a minor update to a warning message format in core.py is included.

Highlights

• DataframeTransform Bug Fix: Corrected an issue in sdks/python/apache_beam/dataframe/transforms.py where DataframeTransform failed to properly process a dictionary of PCollections. The fix involves passing str(k) as a third argument to convert.to_dataframe when iterating through dictionary items.
• New Test Case for Multiple DataFrames: Added test_multiple_dataframe_transforms in sdks/python/apache_beam/dataframe/transforms_test.py to ensure DataframeTransform correctly handles scenarios with multiple input PCollections provided as a dictionary.
• Warning Message Formatting Update: Updated a warning message in sdks/python/apache_beam/transforms/core.py to use an f-string for improved readability and modern Python syntax.

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[github-actions]

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 56.72%. Comparing base (b60ce5b) to head (f1e5fd7).
⚠️ Report is 92 commits behind head on master.

Additional details and impacted files

@@             Coverage Diff              @@
##             master   #35893      +/-   ##
============================================
+ Coverage     56.68%   56.72%   +0.03%     
  Complexity     3380     3380              
============================================
  Files          1219     1220       +1     
  Lines        184480   184844     +364     
  Branches       3507     3507              
============================================
+ Hits         104570   104849     +279     
- Misses        76581    76666      +85     
  Partials       3329     3329              

Flag	Coverage Δ
python	80.81% <ø> (-0.03%)	⬇️

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[github-actions]

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R: @damccorm for label python.

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[damccorm]

Thanks. This will potentially break update compatibility for streaming jobs (which rely on step name to map new transforms to old), but I think that it is worth it to allow this kind of usage.

Could you please add a note to CHANGES.md calling out this bug fix?

[github-actions]

Reminder, please take a look at this pr: @damccorm

[ahmedabu98]

waiting on author

[DKER2]

Thanks. This will potentially break update compatibility for streaming jobs (which rely on step name to map new transforms to old), but I think that it is worth it to allow this kind of usage.

Could you please add a note to CHANGES.md calling out this bug fix?

Updated CHANGES.md @damccorm. Thank you