Fix productivity pipeline: date filtering, data loss, AI misclassification#1
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Rohitwa wants to merge 1 commit into
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Fix productivity pipeline: date filtering, data loss, AI misclassification#1Rohitwa wants to merge 1 commit into
Rohitwa wants to merge 1 commit into
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…ation - Platform dashboard: query tracker DB daily_memory by date instead of cumulative PMIS V2 memory_nodes (date picker now works) - Worker classification: any human input in segment = human work (was majority vote, causing most ChatGPT sessions to be labeled AI) - Hourly aggregator: accept both "ai" and "agent" worker values (mismatch was zeroing all recent AI time) - Daily rollup: delete-then-insert prevents duplicate entries on repeated runs; hourly cleanup only at end-of-day (11 PM) - New PipelineLog table tracks processed hours/dates so daemon knows what's been done - Startup catch-up: daemon processes ALL missed hours and dates across full history, not just today - Hourly catch-up accepts target_date param for cross-date recovery Before: Apr 10 showed 8min (91% data loss, 0 AI time) After: Apr 10 shows 2h45m (1h58m human, 47m AI) matching raw segments Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
daily_memoryby date instead of cumulative PMIS V2memory_nodes"ai"and"agent"worker values; worker classification changed from majority-vote to "any human input = human"pipeline_logtable — daemon tracks which hours/dates have been processed, enabling automatic catch-up on restartBefore vs After
Files changed (6)
memory_system/platform/server.py— dashboard API date filteringproductivity-tracker/src/agent/tracker.py— worker logic + startup catch-upproductivity-tracker/src/memory/hourly_aggregator.py— worker mismatch + cross-date catch-upproductivity-tracker/src/memory/daily_rollup.py— delete-before-insert + pipeline loggingproductivity-tracker/src/storage/db.py— PipelineLog helpers + delete_daily_for_dateproductivity-tracker/src/storage/models.py— PipelineLog modelTest plan
🤖 Generated with Claude Code