- Import 2026 game data from ESPN source file
- Add MLB, NBA, NHL, NFL games for 2026 season
- Total games: 9879 (up from ~6800)
- June 2026 MLB: 394 games now available
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Scripts changes:
- Add WNBA abbreviation aliases to team_resolver.py
- Fix NHL stadium coordinates in stadium_resolver.py
- Add validate_aliases.py script for orphan detection
- Update scrapers with improved error handling
- Add DATA_AUDIT.md and REMEDIATION_PLAN.md documentation
- Update alias JSON files with new mappings
iOS bundle updates:
- Update games_canonical.json with latest scraped data
- Update teams_canonical.json and stadiums_canonical.json
- Sync alias files with Scripts versions
All 5 remediation phases complete.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Filter bundled JSON to core 4 sports only (152 → 122 stadiums)
- Exclude MLS stadiums (incomplete data, deferred to Phase 2.1)
- Filter aliases to match (200 → 165 aliases)
- All fields populated: no empty state, zero capacity, or null year
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add local canonicalization pipeline (stadiums, teams, games) that generates
deterministic canonical IDs before CloudKit upload
- Fix CanonicalSyncService to use deterministic UUIDs from canonical IDs
instead of random UUIDs from CloudKit records
- Add SyncStadium/SyncTeam/SyncGame types to CloudKitService that preserve
canonical ID relationships during sync
- Add canonical ID field keys to CKModels for reading from CloudKit records
- Bundle canonical JSON files (stadiums_canonical, teams_canonical,
games_canonical, stadium_aliases) for consistent bootstrap data
- Update BootstrapService to prefer canonical format files over legacy format
This ensures all entities use consistent deterministic UUIDs derived from
their canonical IDs, preventing duplicate records when syncing CloudKit
data with bootstrapped local data.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Stadium Progress & Achievements:
- Add StadiumVisit and Achievement SwiftData models
- Create Progress tab with interactive map view
- Implement photo-based visit import with GPS/date matching
- Add achievement badges (count-based, regional, journey)
- Create shareable progress cards for social media
- Add canonical data infrastructure (stadium identities, team aliases)
- Implement score resolution from free APIs (MLB, NBA, NHL stats)
UI Improvements:
- Add ThemedSpinner and ThemedSpinnerCompact components
- Replace all ProgressView() with themed spinners throughout app
- Fix sport selection state not persisting when navigating away
Bug Fixes:
- Fix Coast to Coast trips showing only 1 city (validation issue)
- Fix stadium progress showing 0/0 (filtering issue)
- Remove "Stadium Quest" title from progress view
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Travel segment architecture:
- Remove departureTime/arrivalTime from TravelSegment (location-based, not date-based)
- Fix travel sections appearing after destination instead of between cities
- Fix missing travel segments when revisiting same city (consecutive grouping)
- Remove unwanted rest day at end of trip
Planning engine fixes:
- All three planners now group only consecutive games at same stadium
- Visiting A → B → A creates 3 stops with proper travel between
UI simplification:
- Remove redundant sort options (mostDriving/leastDriving, mostCities/leastCities)
- Remove unused "Find Other Sports Along Route" toggle (was dead code)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Three-scenario planning engine (A: date range, B: selected games, C: directional routes)
- GeographicRouteExplorer with anchor game support for route exploration
- Shared ItineraryBuilder for travel segment calculation
- TravelEstimator for driving time/distance estimation
- SwiftUI views for trip creation and detail display
- CloudKit integration for schedule data
- Python scraping scripts for sports schedules
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
