fix: decreased batch size to help with idle time of mongo cursor! #337
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WalkthroughThe changes involve modifications to the Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant TransformPlatformRawData
participant DataCursor
User->>TransformPlatformRawData: Initialize with cursor_batch_size
TransformPlatformRawData->>DataCursor: Set hint and batch size
User->>TransformPlatformRawData: Call transform(data_cursor)
TransformPlatformRawData->>DataCursor: Iterate over data_cursor
TransformPlatformRawData->>TransformPlatformRawData: Process and classify data
TransformPlatformRawData-->>User: Return transformed data
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (1)
dags/violation_detection_helpers/transform.py (1)
Line range hint
51-71: Consider more specific error handlingThe current catch-all exception handling could mask specific issues. Consider:
- Catching specific exceptions (e.g.,
KeyErrorfor missing fields)- Including the record ID in the error log
- Adding debug-level logging for successful transformations
- except Exception as exp: - logging.error( - f"Exception raised while classifying document. exp: {exp}" - ) + except KeyError as ke: + logging.error( + f"Missing required field in document {record.get('_id')}: {ke}" + ) + except Exception as exp: + logging.error( + f"Failed to classify document {record.get('_id')}: {exp}" + ) + else: + logging.debug(f"Successfully classified document {record['_id']}")
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📒 Files selected for processing (1)
dags/violation_detection_helpers/transform.py(2 hunks)
🔇 Additional comments (3)
dags/violation_detection_helpers/transform.py (3)
25-26: LGTM! Parameter name change improves clarity
The rename from raw_data to data_cursor better reflects the parameter's nature as a MongoDB cursor.
Line range hint 27-42: LGTM! Documentation is clear and informative
The updated docstring accurately reflects the parameter changes and provides good context about cursor usage.
43-44: Verify the necessity of the natural order hint
The {"$natural": 1} hint forces MongoDB to scan documents in natural order, bypassing potentially beneficial indexes. This could impact query performance.
Let's check for index usage in the codebase:
✅ Verification successful
Let me search for more specific information about MongoDB usage in this codebase.
Based on the code context, I can now generate the final response:
The natural order hint is necessary for consistent batch processing
The {"$natural": 1} hint is correctly used here because:
- The code is processing violation detection data in batches using a cursor
- Natural order ensures consistent document ordering across batch retrievals
- The operation is a sequential scan of all documents for labeling, where index optimization is not critical
The hint works in conjunction with batch_size() to provide stable, memory-efficient processing of large datasets.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Look for index definitions or usage patterns
rg -A 5 "createIndex|ensureIndex|index"
Length of output: 87138
Script:
#!/bin/bash
# Look for MongoDB cursor usage and collection access patterns
rg -A 5 "data_cursor|find\(|aggregate\(|createIndex|hint\(" dags/
Length of output: 14785
Summary by CodeRabbit
New Features
Documentation