ca9fa535f1
- Added MILESTONES.md entry with key accomplishments - Evolved PROJECT.md with validated requirements - Reorganized ROADMAP.md with milestone grouping - Created milestone archive: milestones/v1.0-ROADMAP.md - Updated STATE.md for next milestone planning - Tagged v1.0 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Project Milestones: SportsTime
v1.0 Data Pipeline (Shipped: 2026-01-10)
Delivered: Complete Python data pipeline with sport-organized modules, full stadium database, alias systems, and CloudKit CRUD operations for the SportsTime iOS app.
Phases completed: 1-7 (+ 2.1 inserted) — 15 plans total
Key accomplishments:
- Reorganized monolithic scripts into 7 sport modules (mlb.py, nba.py, nhl.py, nfl.py, mls.py, wnba.py, nwsl.py)
- Built complete stadium database with 148 venues across all 7 sports with verified coordinates
- Implemented team and stadium alias systems for cross-source name variations
- Added full CloudKit CRUD with diff reporting, smart sync, and orphan detection
- Created comprehensive validation with health scores and completeness metrics
- Reduced scrape_schedules.py orchestrator from 3359 to 733 lines (78% reduction)
Stats:
- 15 plans executed across 8 phases
- ~12,000 lines of Python
- 92 minutes total execution time (6.1 min average per plan)
- 2 days from start to ship (2026-01-09 → 2026-01-10)
Git range: feat(01-01) → docs(07-01)
What's next: iOS app improvements — IAP, UI/UX, testing