# 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)