docs: initialize SportsTime Data Pipeline

Fix data quality issues across MLB, NBA, NHL, NFL with correct game→team→stadium canonical linking.

Creates PROJECT.md with requirements and constraints.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

.planning/PROJECT.md

@@ -0,0 +1,71 @@
+# SportsTime Data Pipeline
+
+## What This Is
+
+A Python data pipeline that scrapes, canonicalizes, and syncs sports schedule data to CloudKit for the SportsTime iOS app. The pipeline ensures every game correctly links to its home/away teams and stadium with complete, accurate data across MLB, NBA, NHL, and NFL.
+
+## Core Value
+
+Every game must correctly link to its teams and stadium — a game at the wrong venue or with broken team links ruins trip planning.
+
+## Requirements
+
+### Validated
+
+- ✓ Basic schedule scraping for MLB, NBA, NHL, NFL — existing
+- ✓ Canonical data models (stadiums, teams, games) — existing
+- ✓ CloudKit import capability — existing
+- ✓ Bundled JSON generation for offline-first — existing
+
+### Active
+
+- [ ] Split scripts by sport (MLB, NBA, NHL, NFL as separate modules)
+- [ ] Complete stadium database with correct coordinates and names
+- [ ] Stadium alias system for name variations across sources
+- [ ] Correct game→team→stadium canonical linking for all sports
+- [ ] Full CRUD CloudKit management (create, read, update, delete)
+- [ ] Validation reports showing counts, gaps, and orphan records
+- [ ] Team alias system for name variations across sources
+
+### Out of Scope
+
+- Real-time scores — this is schedule data, not live game tracking
+- Adding new sports (MLS, WNBA, etc.) — stabilize current 4 first
+- iOS app changes — this is purely backend/script work
+
+## Context
+
+**Current State:**
+- Data quality issues exist across all sports (wrong stadiums, missing games, broken team links)
+- Stadium problems include: missing venues, wrong coordinates, name mismatches between sources
+- Single large script files that are hard to debug and maintain
+- Existing CloudKit import works but lacks verification and CRUD operations
+
+**Existing Infrastructure:**
+- Python 3 with requests, beautifulsoup4, pandas, lxml
+- CloudKit server-to-server auth via cryptography package
+- Bundled JSON in `SportsTime/Resources/` for offline bootstrap
+- Data sources: Basketball-Reference, Baseball-Reference, Hockey-Reference, official APIs
+
+**iOS App Dependency:**
+- `AppDataProvider.shared` is single source of truth
+- SwiftData models: `CanonicalStadium`, `CanonicalTeam`, `CanonicalGame`
+- Domain models expect correct relationships via canonical IDs
+
+## Constraints
+
+- **Tech Stack**: Must remain Python (existing tooling, team familiarity)
+- **Data Sources**: Free/public APIs and sites only (no paid subscriptions)
+- **CloudKit**: Must use existing container (`iCloud.com.sportstime.app`)
+- **Compatibility**: Output must match existing Swift model expectations
+
+## Key Decisions
+
+| Decision | Rationale | Outcome |
+|----------|-----------|---------|
+| Split by sport, not function | User preference for organization | — Pending |
+| Validation reports over automated tests | Faster feedback, easier debugging | — Pending |
+| Full CRUD over upload-only | Enable data corrections without full rebuild | — Pending |
+
+---
+*Last updated: 2026-01-09 after initialization*

.planning/config.json

@@ -0,0 +1,18 @@
+{
+  "mode": "yolo",
+  "depth": "standard",
+  "gates": {
+    "confirm_project": false,
+    "confirm_phases": false,
+    "confirm_roadmap": false,
+    "confirm_breakdown": false,
+    "confirm_plan": false,
+    "execute_next_plan": false,
+    "issues_review": false,
+    "confirm_transition": false
+  },
+  "safety": {
+    "always_confirm_destructive": true,
+    "always_confirm_external_services": true
+  }
+}