Add TravelInfo initializers and city normalization helpers to fix repeat
city-pair disambiguation. Improve drag-and-drop reordering with segment
index tracking and source-row-aware zone calculation. Enhance all five
scenario planners with better next-day departure handling and travel
segment placement. Add comprehensive tests across all planners.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds a new planning mode that lets users follow a team's schedule
(home + away games) and builds multi-city routes accordingly.
Key changes:
- New ScenarioDPlanner with team filtering and route generation
- Team picker UI with sport grouping and search
- Fix TravelEstimator 5-day limit (was 2-day) for cross-country routes
- Fix DateInterval end boundary to include games on last day
- Comprehensive test suite covering edge cases:
- Multi-city routes with adequate/insufficient time
- Optimal game selection per city for feasibility
- 5-day driving segment limits
- Multiple driver scenarios
Enables trips like Houston → Chicago → Anaheim following the Astros.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add Trip.status property for status tracking
- Add RouteFilters trip list methods (filterBySport, filterByDateRange, filterByStatus, applyFilters)
- Add TravelEstimator max driving hours validation
- Fix ScenarioA/B departureDate to use last game day (not day after)
- Update GameDAGRouter comments for buffer logic
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
TripOptionCard improvements:
- Replace horizontal route with vertical layout (start → end with arrow)
- Remove rank badges (1, 2, 3, etc.)
- Split stats into two rows: cities/miles and sports with game counts
- Clear selection when navigating back from detail view
Settings cleanup:
- Remove unused settings (preferred game time, playoff games, notifications)
- Convert remaining settings to sliders
Planning fixes:
- Fix multi-day driving calculation in canTransition
- Remove over-restrictive trip rejection in TravelEstimator
- Clear games cache when sport selection changes
UI polish:
- RoutePreviewStrip shows all cities (abbreviated)
🤖 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>
- Replace O(2^n) GeographicRouteExplorer with O(n) GameDAGRouter using DAG + beam search
- Add geographic diversity to route selection (returns routes from distinct regions)
- Add trip options selector UI (TripOptionsView, TripOptionCard) to choose between routes
- Simplify itinerary display: separate games and travel segments by date
- Remove complex ItineraryDay bundling, query games/travel directly per day
- Update ScenarioA/B/C planners to use GameDAGRouter
- Add new test suites for planners and travel estimator
🤖 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>
