Feat/rapid 6780 rename private metadata

[LinoGiger]

No description provided.

[claude]

Pull Request Review - PR #453: Rename private_tags to private_metadata

Summary

This PR performs a systematic rename of the private_tags parameter to private_metadata across the codebase. The change affects 6 files with 53 additions and 53 deletions, maintaining a clean 1:1 replacement pattern.

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Positive Aspects ✓

1. Consistent Renaming: The rename is applied consistently across all affected files including:

   • Model definitions (_datapoint.py)
   • Uploader logic (_datapoint_uploader.py)
   • Validators (_datapoints_validator.py)
   • Job managers (job_definition.py, job_manager.py)
   • Order managers (rapidata_order_manager.py)

2. API Model Already Updated: The generated API client model (create_datapoint_model.py) already uses private_metadata with the correct camelCase alias privateMetadata, indicating backend alignment.

3. Improved Naming: The new name private_metadata is more descriptive and accurately reflects that this parameter accepts key-value pairs of metadata rather than simple tags.

4. Documentation Updated: Error messages and docstrings have been appropriately updated (e.g., "Number of private metadata entries must match number of datapoints").

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Issues Found 🔴

Critical: Variable Naming Inconsistency

Location: src/rapidata/rapidata_client/datapoints/_datapoints_validator.py:56-73

There's a variable naming inconsistency in the map_datapoints method. While the parameter is correctly renamed to private_metadata, the loop variable is still called private_tag:

# Line 56
private_metadata=private_tag,  # ❌ Inconsistent naming
# Line 59
for asset, context, media_context, sentence, private_tag, group in cast(  # ❌ Should be private_metadata

Recommendation: The loop variable should be renamed from private_tag to private_metadata_item or similar to maintain consistency:

private_metadata=private_metadata_item,
# ...
for asset, context, media_context, sentence, private_metadata_item, group in cast(

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Recommendations 📋

1. Missing Test Coverage

• No test files were modified in this PR
• Consider adding or updating tests to verify the parameter rename works correctly
• Verify that existing integration tests still pass with the new parameter name

2. Backwards Compatibility Consideration

Since this is a public API change that affects all job and order creation methods, consider:

• Breaking Change Documentation: This should be documented in release notes or migration guide as a breaking change
• Deprecation Period: Alternatively, consider supporting both parameter names temporarily with a deprecation warning for private_tags
• Version Bump: This warrants at least a minor version bump (or major if following strict semver)

3. Documentation Updates

While docstrings were updated, verify that:

• User-facing documentation mentions the new parameter name
• Any example code in docs or README uses private_metadata
• Migration guide includes this change if creating a new version

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Security & Performance ✓

• No security concerns: This is a pure rename with no logic changes
• No performance impact: No algorithmic changes introduced
• Type safety maintained: All type hints remain consistent

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Summary

This is a well-executed rename that improves API clarity. The main issue is the inconsistent variable naming in _datapoints_validator.py that should be addressed. Additionally, since this is a breaking API change affecting all public methods, proper version management and migration documentation are essential.

Recommendation: Address the variable naming inconsistency before merging. Consider the backwards compatibility implications for your users.