ben/scrape-giant
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Record t1.21 task evidence

Browse Source
This commit is contained in:
ben
2026-03-24 16:49:01 -04:00
parent 46a3b2c639
commit cdb7a15739
1 changed files with 12 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
pm/tasks.org
View File

@@ -1021,7 +1021,7 @@ refresh review state from the current normalized universe so missing or broken l
** notes
- `review_products.py` now rebuilds its queue from the current normalized files and order files instead of trusting stale `purchases.csv` state.
- 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.
- 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.
* [X] t1.20: add visit-level fields and outputs for spend analysis (2-4 commits)
ensure purchases retains enough visit/order context to support spend-by-visit and store-level analysis
@@ -1050,7 +1050,7 @@ ensure purchases retains enough visit/order context to support spend-by-visit an
** notes
- 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.
- `data/review/purchases.csv` is now documented as the primary analysis artifact for both item-level and visit-level work.
* [X] t1.21: add lightweight charting/analysis surface on top of purchases.csv (2-4 commits)
build a minimal analysis layer for common price and visit charts without changing the csv pipeline
@@ -1063,6 +1063,16 @@ build a minimal analysis layer for common price and visit charts without changin
- retailer/store comparison
2. use `data/purchases.csv` as the source of truth
3. keep excel/pivot compatibility intact
- pm note: thin reader layer only; do not move business logic out of the pipeline
** evidence
- commit: `46a3b2c` `Add purchase analysis summaries`
- tests: `./venv/bin/python -m unittest tests.test_analyze_purchases tests.test_purchases`; `./venv/bin/python analyze_purchases.py`
- datetime: 2026-03-24 16:48:41 EDT
** notes
- The new layer is file-based, not notebook- or dashboard-based: `analyze_purchases.py` reads `data/review/purchases.csv` and writes chart-ready CSVs under `data/review/analysis/`.
- This keeps Excel/pivot workflows intact while still giving a repeatable CLI path for common price, visit, category, and retailer/store summaries.
* [ ] t1.10: add optional llm-assisted suggestion workflow for unresolved normalized retailer items (2-4 commits)