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Files selected for processing (3)
- requirements.txt (1 hunks)
- setup.py (1 hunks)
- tc_analyzer_lib/metrics/heatmaps/heatmaps.py (1 hunks)
Files skipped from review due to trivial changes (2)
- requirements.txt
- setup.py
Additional comments not posted (4)
tc_analyzer_lib/metrics/heatmaps/heatmaps.py (4)
84-84: Revised Calculation ofmax_indexNeeds VerificationThe change in the calculation of
max_indexfrom(analytics_date - datetime.now()).daysto(datetime.now() - analytics_date).daysreverses the direction of the difference. This adjustment could potentially affect the loop's execution, especially in scenarios whereanalytics_dateis later than the current date. It's crucial to verify that this change aligns with the intended functionality of the heatmap generation process.Please ensure that this change has been tested thoroughly, especially in edge cases where the
analytics_datemight be equal to or later than the current date.
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183-255: Well-Structured Hourly Analytics ProcessingThe
_process_hourly_analyticsmethod is well-structured and effectively handles various types of analytics, both predefined and custom. The use of asynchronous operations and clear separation of concerns within the method are commendable.
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257-314: Consistent and Robust Raw Analytics ProcessingThe
_process_raw_analyticsmethod is consistent with the_process_hourly_analyticsmethod in terms of structure and handling of analytics. The error handling for missingactivity_namein custom analytics configurations is appropriately managed, ensuring robustness in analytics processing.
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316-389: Effective Initialization of Heatmap DocumentsThe
_init_heatmaps_documentsmethod effectively prepares heatmap documents for storage. The method's handling of data restructuring and filtering of bot activities is crucial for ensuring the accuracy and relevance of the heatmap data.
more efficiently query running.
Summary by CodeRabbit
New Features
Bug Fixes
Chores
tc-neo4j-libandtc-analyzer-libto ensure compatibility and access to the latest features.