Adds the full Django application layer on top of sportstime_parser:
- core: Sport, Team, Stadium, Game models with aliases and league structure
- scraper: orchestration engine, adapter, job management, Celery tasks
- cloudkit: CloudKit sync client, sync state tracking, sync jobs
- dashboard: staff dashboard for monitoring scrapers, sync, review queue
- notifications: email reports for scrape/sync results
- Docker setup for deployment (Dockerfile, docker-compose, entrypoint)
Game exports now use game_datetime_utc (ISO 8601 UTC) instead of
venue-local date+time strings, matching the canonical format used
by the iOS app.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Complete Python package for scraping, normalizing, and uploading
sports schedule data to CloudKit. Includes:
- Multi-source scrapers for NBA, MLB, NFL, NHL, MLS, WNBA, NWSL
- Canonical ID system for teams, stadiums, and games
- Fuzzy matching with manual alias support
- CloudKit uploader with batch operations and deduplication
- Comprehensive test suite with fixtures
- WNBA abbreviation aliases for improved team resolution
- Alias validation script to detect orphan references
All 5 phases of data remediation plan completed:
- Phase 1: Alias fixes (team/stadium alias additions)
- Phase 2: NHL stadium coordinate fixes
- Phase 3: Re-scrape validation
- Phase 4: iOS bundle update
- Phase 5: Code quality improvements (WNBA aliases)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
