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- Add 02-02-SUMMARY.md documenting pipeline regeneration - Update STATE.md: Phase 2 complete, next is Phase 2.1 - Update ROADMAP.md: Mark Phase 2 as complete (2/2 plans) - Performance: 5 plans, 37 min total, 7.4 min average Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Phase 2 Plan 02: Pipeline Regeneration & Verification Summary
Regenerated canonical stadium data for all 4 core sports (122 stadiums) with complete data quality validation.
Accomplishments
- Ran stadium scraping pipeline (
scrape_schedules.py --stadiums-update) collecting 152 stadiums (including MLS) - Ran canonicalization pipeline (
canonicalize_stadiums.py) generating canonical IDs and aliases - Filtered bundled JSON to core 4 sports only (122 stadiums, 165 aliases)
- Verified data quality: 0 empty states, 0 zero capacities, 0 null year_opened values
Files Created/Modified
Scripts/data/stadiums.json- Raw stadium data (152 stadiums including MLS)Scripts/data/stadiums_canonical.json- Canonical output (152 stadiums)Scripts/data/stadium_aliases.json- Historical aliases (200 aliases)SportsTime/Resources/stadiums_canonical.json- Bundled canonical data (122 core sport stadiums)SportsTime/Resources/stadium_aliases.json- Bundled aliases (165 aliases for core sports)
Decisions Made
- MLS excluded from bundled JSON: MLS stadiums (30) have incomplete data from source (zero capacity, null year_opened). Deferred to Phase 2.1: Additional Sports Stadiums
- Core 4 sports only: Bundled JSON contains MLB (30), NBA (30), NFL (30), NHL (32) = 122 stadiums
- Full data retained in Scripts/data/: MLS data preserved for Phase 2.1 work
Issues Encountered
- MLS data quality: The gavinr GeoJSON source for MLS stadiums lacks capacity and year_opened fields. This is expected - MLS stadiums need manual enrichment in Phase 2.1.
Stadium Counts
| Sport | Scraped | Bundled |
|---|---|---|
| MLB | 30 | 30 |
| NBA | 30 | 30 |
| NFL | 30 | 30 |
| NHL | 32 | 32 |
| MLS | 30 | 0 (deferred) |
| Total | 152 | 122 |
Commits
| Hash | Description |
|---|---|
c2da6a7 |
feat(02-02): regenerate stadium data with canonicalization pipeline |
1808d2c |
feat(02-02): bundle 122 core stadiums (MLB/NBA/NHL/NFL) |
Phase 2 Complete
Phase 2: Stadium Foundation is complete:
- All 4 core sports have complete stadium data
- Data includes: canonical_id, name, city, state, lat/lng, capacity, year_opened, teams
- Historical aliases in place for renamed stadiums (165 aliases)
- Ready for Phase 2.1: Additional Sports Stadiums (MLS, WNBA, NWSL, CBB)