fix: Enhanced data integrity by filtering out erroneous entries during data processing #165
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WalkthroughThe changes focus on enhancing data integrity within the Mobile Vikings custom component for Home Assistant. The modifications target the Changes
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Actionable comments posted: 0
🧹 Nitpick comments (1)
custom_components/mobile_vikings/__init__.py (1)
138-140: LGTM! Consider adding error logging.The error filtering logic is a good defensive programming practice that aligns with the PR objective. However, consider adding debug logging for skipped entries to help with troubleshooting.
Consider this enhancement:
# Check if the value is a dictionary and contains an "error" key if isinstance(value, dict) and value.get("error"): + if self._debug: + _LOGGER.debug("Skipping key %s due to error: %s", key, value.get("error")) continue # Skip this key if "error" is present
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📒 Files selected for processing (1)
custom_components/mobile_vikings/__init__.py(1 hunks)
🔇 Additional comments (1)
custom_components/mobile_vikings/__init__.py (1)
138-140: Verify API error response structure.
To ensure robust error handling, we should verify the consistency of error responses from the API.
✅ Verification successful
The shell script results show a consistent error handling pattern in the API client. The get_all_data method wraps individual API calls in try-except blocks, setting an "error" key in the response dictionary when an exception occurs. This matches perfectly with the error handling in the reviewed code that skips dictionary values containing an "error" key.
Let me verify the data persistence pattern to ensure we're not losing valid data:
Error handling implementation is correct and maintains data consistency
The verification confirms that:
- The API client consistently wraps errors in dictionaries with an "error" key
- Data persistence is handled properly:
- Valid data is loaded via
store.async_load() - New data is saved via
store.async_save()only after successful processing - Skipping error responses prevents corrupting previously stored valid data
- Valid data is loaded via
The error handling approach is robust and maintains data consistency by preserving existing valid data when partial API errors occur.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for API response handling and error patterns
rg -A 5 "error" custom_components/mobile_vikings/client.py
Length of output: 2512
Script:
#!/bin/bash
# Search for data persistence patterns
rg -A 5 "async_save|store" custom_components/mobile_vikings/__init__.py
Length of output: 1577
Summary by CodeRabbit
New Features
Bug Fixes