Makes meds-transform and polars requirements more flexible. #103
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WalkthroughThe changes made in the pull request focus on updating the dependency version constraints in the Changes
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
src/MEDS_tabular_automl/mapper.py (2)
166-168: Consider using a more specific exception type.While using a generic
Exceptionmakes the error handling more flexible, it might mask specific issues that should be handled differently. Consider:
- Using a custom exception type (e.g.,
TransformationError) to catch specific transformation-related errors- Or at minimum, documenting the expected exception types in the docstring
Example implementation:
class TransformationError(Exception): """Raised when a transformation function fails.""" pass # Then in the docstring: """ Raises: TransformationError: When a transformation function fails ValueError: When input validation fails """
Line range hint
1-400: Consider enhancing robustness with context managers.The lock file and cache management could benefit from using context managers to ensure proper cleanup in all scenarios.
Example implementation:
from contextlib import contextmanager @contextmanager def transformation_lock(cache_directory: Path): """Context manager for handling transformation locks.""" st_time, lock_fp = register_lock(cache_directory) try: yield st_time finally: if lock_fp.exists(): lock_fp.unlink() # Usage in wrap function: with transformation_lock(cache_directory) as st_time: # transformation logic here pass
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📒 Files selected for processing (1)
src/MEDS_tabular_automl/mapper.py(1 hunks)
🔇 Additional comments (1)
src/MEDS_tabular_automl/mapper.py (1)
166-168: Verify the impact of version updates on transformations.
The changes in pyproject.toml allowing more flexible versions of polars and meds-transform could affect the transformation behavior.
✅ Verification successful
Let me analyze the results and generate a final response.
No impact detected from version updates on transformations
The codebase's usage of polars is limited to standard DataFrame operations that are stable across versions:
- Basic DataFrame operations: select, filter, with_columns
- I/O operations: read/write parquet
- Type conversions and column manipulations
- No usage of experimental or recently added features
Additionally, there are no direct imports or usage of meds-transform found in the codebase, suggesting the version update won't affect the transformation behavior.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for potential breaking changes in polars and meds-transform versions
# Check for polars version changes that might affect DataFrame operations
rg -A 3 "import polars|from polars"
# Check for meds-transform usage that might be affected by version changes
rg -A 3 "from meds_transform|import meds_transform"
# Look for specific polars DataFrame operations that might have changed
ast-grep --pattern 'df.$$$'
Length of output: 8361
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #103 +/- ##
=======================================
Coverage 81.96% 81.96%
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Files 20 20
Lines 1253 1253
=======================================
Hits 1027 1027
Misses 226 226 ☔ View full report in Codecov by Sentry. |
Summary by CodeRabbit
polars,meds, andmeds-transformsto allow for broader compatibility with newer versions.