Record t1.20 task evidence
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10
pm/tasks.org
10
pm/tasks.org
@@ -1021,7 +1021,7 @@ refresh review state from the current normalized universe so missing or broken l
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** notes
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- `review_products.py` now rebuilds its queue from the current normalized files and order files instead of trusting stale `purchases.csv` state.
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- Missing catalog rows and incomplete catalog rows now re-enter review explicitly as `orphaned_catalog_link` or `incomplete_catalog_link`, and excluded rows no longer inflate unresolved-not-in-review accounting.
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- Missing catalog rows and incomplete catalog rows now re-enter review explicitly as `orphaned_catalog_link` or `incomplete_catalog_link`, and excluded rows no longer inflate unresolved-not-in-review accounting.
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* [x] t1.20: add visit-level fields and outputs for spend analysis (2-4 commits)
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ensure purchases retains enough visit/order context to support spend-by-visit and store-level analysis
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@@ -1042,11 +1042,13 @@ ensure purchases retains enough visit/order context to support spend-by-visit an
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3. documentation or task notes make clear that `purchases.csv` is the primary analysis artifact for both item-level and visit-level reporting
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- pm note: do not build dash/plotly here; this task is only about carrying the right data through
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** evidence
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- commit:
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- tests:
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** evidence
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- commit: `6940f16` `Document visit-level purchase analysis`
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- tests: `./venv/bin/python -m unittest tests.test_purchases`; `./venv/bin/python build_purchases.py`
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- datetime: 2026-03-24 08:29:13 EDT
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** notes
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- The needed visit fields were already flowing through `build_purchases.py`; this task locked them in with explicit tests and documentation instead of adding a new visit layer.
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- `data/review/purchases.csv` is now documented as the primary analysis artifact for both item-level and visit-level work.
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* [ ] t1.21: add lightweight charting/analysis surface on top of purchases.csv (2-4 commits)
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