Commit History
3 days ago
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[NOTICKET] feat(query): PA over several periods from summed hours
Rifqi Hafizuddin +1: Claude Opus 5.5The planner averaged monthly `pa` values (12 of 12 PA aggregations in the local ema_demo runs). The company standard and EMA's model compute PA over several periods as 100 * (sum INPR hours - sum breakdown) / sum INPR hours, which changes the lowest unit and the PA bands on the monthly table. - IR: optional `AggSelect.computed` (ratio of signed sums, scale 1|100), only on `avg`; SQL and pandas compile it as a double-precision ratio over rows where every term is set. Validator checks ids and numeric types. - Definition is data: a `compute` block on the approved PA formula knowledge entry, bound per turn to every table holding the named columns (`Column.measure_method`, Python-only). - Plan validator, last and fail-open: `avg(pa)` gets the computed spec; Check 8o rejects analyze_trend/analyze_aggregate averaging raw rows of a ratio measure. "rata-rata sederhana"/"simple average" keeps the plain average (Constraints.plain_average). - Scope line names the method ("metode: PA…307bac0
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/feat knowledge management (#20)
- [NOTICKET] docs: knowledge pipeline test integration — context, audited task checklist, DEV_PLAN §0.8 (8e69dc6c638509f4dd7b6775d520fb4aa4efbd3e) - [NOTICKET] docs: knowledge pipeline — reframe kex as prototype, not port target (7cce5ffc9ab88791ac139dbef8e88e124a3d049e) - [NOTICKET] feat(eval): knowledge-extraction gold set, scorer + frozen prototype baseline (60cf4a885ef31a8aa64916f5a70ac5a0e8062c5f) - [NOTICKET] chore: add missing planner and readiness eval results (bd6659b3bf523597e4482b04ab1fcff5e1284d25) - [NOTICKET] feat(knowledge_extraction): free stages — models, seam adapter, filters, cluster, ranking (024c30abd1189119d33508eded334fe5a3ed5011) - [NOTICKET] fix(knowledge_extraction): move runner into the package; fix two ranking defects (72605ff6876a7936ab685d417c766ce820f6214b) - [NOTICKET] feat(knowledge_extraction): span filter — E1 recall 0.8537, matches the frozen baseline (3a016343398753cf730d50548c0e92ff47c6716c) - [NOTICKET] feat(knowledge_extraction): paid extraction …b68816f
