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docs(07-01): update PROJECT.md with completion status

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- Mark all Active requirements as complete (7 items)
- Update Key Decisions outcomes (split by sport, validation reports, full CRUD)
- Update Current State to reflect resolved data quality and complete pipeline
- Update last updated date to 2026-01-10

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Trey t
2026-01-10 10:43:32 -06:00
parent d9f446bccb
commit f1adaf342e
1 changed files with 15 additions and 15 deletions
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.planning/PROJECT.md
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@@ -19,13 +19,13 @@ Every game must correctly link to its teams and stadium — a game at the wrong
### Active
- [ ] Split scripts by sport (MLB, NBA, NHL, NFL as separate modules)
- [ ] Complete stadium database with correct coordinates and names
- [ ] Stadium alias system for name variations across sources
- [ ] Correct game→team→stadium canonical linking for all sports
- [ ] Full CRUD CloudKit management (create, read, update, delete)
- [ ] Validation reports showing counts, gaps, and orphan records
- [ ] Team alias system for name variations across sources
- ✓ Split scripts by sport (MLB, NBA, NHL, NFL as separate modules) — 7 sport modules
- ✓ Complete stadium database with correct coordinates and names — 148 stadiums
- ✓ Stadium alias system for name variations across sources — alias JSON files
- ✓ Correct game→team→stadium canonical linking for all sports — canonicalize_games.py
- ✓ Full CRUD CloudKit management (create, read, update, delete) — cloudkit_import.py
- ✓ Validation reports showing counts, gaps, and orphan records — --validate flag
- ✓ Team alias system for name variations across sources — TEAM_ABBREV_ALIASES
### Out of Scope
@@ -36,10 +36,10 @@ Every game must correctly link to its teams and stadium — a game at the wrong
## Context
**Current State:**
- Data quality issues exist across all sports (wrong stadiums, missing games, broken team links)
- Stadium problems include: missing venues, wrong coordinates, name mismatches between sources
- Single large script files that are hard to debug and maintain
- Existing CloudKit import works but lacks verification and CRUD operations
- Data quality: Resolved — all games correctly link to teams and stadiums via canonical IDs
- Stadium database: Complete — 148 stadiums across 7 sports with verified coordinates
- Script organization: Resolved — sport-specific modules (mlb.py, nba.py, nhl.py, nfl.py, mls.py, wnba.py, nwsl.py)
- CloudKit: Full CRUD — create, update, delete with diff reporting, verification, and orphan detection
**Existing Infrastructure:**
- Python 3 with requests, beautifulsoup4, pandas, lxml
@@ -63,9 +63,9 @@ Every game must correctly link to its teams and stadium — a game at the wrong
| Decision | Rationale | Outcome |
|----------|-----------|---------|
| Split by sport, not function | User preference for organization | — Pending |
| Validation reports over automated tests | Faster feedback, easier debugging | — Pending |
| Full CRUD over upload-only | Enable data corrections without full rebuild | — Pending |
| Split by sport, not function | User preference for organization | ✓ Completed — 7 sport modules (mlb.py, nba.py, nhl.py, nfl.py, mls.py, wnba.py, nwsl.py) |
| Validation reports over automated tests | Faster feedback, easier debugging | ✓ Completed — --validate flag with health scores and completeness metrics |
| Full CRUD over upload-only | Enable data corrections without full rebuild | ✓ Completed — create/update/delete with diff reporting and orphan detection |
---
*Last updated: 2026-01-09 after initialization*
*Last updated: 2026-01-10 — Project complete (all 7 phases finished)*