- 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>
55 lines
2.3 KiB
Markdown
55 lines
2.3 KiB
Markdown
# 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)
|