Update fix/clean up #4068
Update fix/clean up #4068
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Updates from airqo staging
📝 WalkthroughWalkthroughThe changes in this pull request primarily involve modifications to the Changes
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (1)
src/analytics/api/views/data.py (1)
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1-600: Improve error handling and logging practicesThe error handling across the file could be enhanced for better debugging and production stability:
- Replace print statements with proper logging
- Avoid printing tracebacks to stdout
- Provide more specific error messages
Here's an example of how to improve the error handling:
- print(ex) - traceback.print_exc() + logger.error(f"Failed to process data export request: {str(ex)}") + logger.debug("Detailed error information:", exc_info=True) return ( AirQoRequests.create_response( - f"An Error occurred while processing your request. Please contact support", + f"Failed to process data export request: {str(ex)}", success=False, ), AirQoRequests.Status.HTTP_500_INTERNAL_SERVER_ERROR, )Consider applying this pattern throughout the file where similar error handling exists.
| columns_to_drop = ["site_id"] | ||
| columns_to_drop.append("timestamp") if frequency in [ | ||
| "hourly", | ||
| "daily", | ||
| ] else columns_to_drop | ||
| print(data_frame.columns.to_list()) | ||
| data_frame.drop( | ||
| columns=[ | ||
| "site_id", | ||
| "timestamp", | ||
| ], | ||
| columns=columns_to_drop, |
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🛠️ Refactor suggestion
Remove debugging print statement and improve code readability
A few suggestions for improvement:
- The print statement appears to be debugging code that should be removed or replaced with proper logging
- The conditional append logic could be more readable
- Consider validating column existence before dropping
Here's a suggested improvement:
- columns_to_drop = ["site_id"]
- columns_to_drop.append("timestamp") if frequency in [
- "hourly",
- "daily",
- ] else columns_to_drop
- print(data_frame.columns.to_list())
- data_frame.drop(
- columns=columns_to_drop,
- inplace=True,
- )
+ columns_to_drop = ["site_id"]
+ if frequency in ["hourly", "daily"]:
+ columns_to_drop.append("timestamp")
+
+ # Only drop columns that exist
+ existing_columns = [col for col in columns_to_drop if col in data_frame.columns]
+ if existing_columns:
+ logger.debug(f"Dropping columns: {existing_columns}")
+ data_frame.drop(columns=existing_columns, inplace=True)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| columns_to_drop = ["site_id"] | |
| columns_to_drop.append("timestamp") if frequency in [ | |
| "hourly", | |
| "daily", | |
| ] else columns_to_drop | |
| print(data_frame.columns.to_list()) | |
| data_frame.drop( | |
| columns=[ | |
| "site_id", | |
| "timestamp", | |
| ], | |
| columns=columns_to_drop, | |
| columns_to_drop = ["site_id"] | |
| if frequency in ["hourly", "daily"]: | |
| columns_to_drop.append("timestamp") | |
| # Only drop columns that exist | |
| existing_columns = [col for col in columns_to_drop if col in data_frame.columns] | |
| if existing_columns: | |
| logger.debug(f"Dropping columns: {existing_columns}") | |
| data_frame.drop(columns=existing_columns, inplace=True) |
Description
[Provide a brief description of the changes made in this PR]
Just some cleanup/data sanitizing.
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