# Current Development Context ## Active Task Converting ThrillWiki from Django to Laravel+Livewire ## Current Phase Location System Implementation ## Progress ### Completed 1. ✅ Set up Laravel project structure 2. ✅ Create user management migrations: - Extended users table with required fields - Created profiles table 3. ✅ Created User Management Models: - Enhanced User model with roles and preferences - Created Profile model with avatar handling 4. ✅ Implemented User Profile Management: - Created ProfileComponent Livewire component - Implemented profile editing interface - Added avatar upload functionality 5. ✅ Created Base Infrastructure: - ParkStatus enum with status display methods - IdGenerator service for consistent ID generation 6. ✅ Implemented Slug History System: - Created HasSlugHistory trait - Implemented SlugHistory model - Set up polymorphic relationships - Added slug generation and tracking 7. ✅ Implemented Operator/Manufacturer System: - Created migrations for operators and manufacturers - Implemented Operator model with park relationships - Implemented Manufacturer model with ride relationships - Added statistics tracking methods 8. ✅ Implemented Parks System: - Created migrations for parks and areas - Implemented Park model with status handling - Implemented ParkArea model with scoped slugs - Added relationships and statistics tracking 9. ✅ Created Parks Management Interface: - Implemented ParkFormComponent for CRUD - Created ParkListComponent with filtering - Added responsive grid layouts - Implemented search and sorting 10. ✅ Created Park Areas Management: - Implemented ParkAreaFormComponent - Created ParkAreaListComponent - Added area filtering and search - Implemented area deletion 11. ✅ Implemented Area Organization: - Added position and parent_id fields - Created drag-and-drop reordering - Implemented nested area support - Added position management - Created move functionality 12. ✅ Implemented Area Statistics: - Added statistics fields to areas - Created HasAreaStatistics trait - Implemented statistics component - Added visual data display - Created historical tracking 13. ✅ Implemented Statistics Rollup: - Added park-level statistics - Created HasParkStatistics trait - Implemented rollup service - Added transaction safety - Created event handlers 14. ✅ Implemented Statistics Caching: - Created caching service - Added cache invalidation - Implemented cache warming - Added performance monitoring - Created error handling 15. ✅ Implemented Location System Foundation: - Created Location model with PostGIS - Added polymorphic relationships - Implemented spatial queries - Added name and type fields - Added activity logging - Created coordinate sync - Matched Django GeoDjango features 16. ✅ Implemented Geocoding Service: - Created GeocodeService class - Implemented OpenStreetMap integration - Added address normalization - Added coordinate validation - Implemented result caching - Added error handling - Created custom exceptions ### In Progress 1. Location Components Implementation - [ ] Create map component - [ ] Add location selection - [ ] Implement search interface - [ ] Add clustering support - [ ] Create location display ### Next Steps 1. Location Components - [ ] Create map component - [ ] Add location selection - [ ] Implement search interface - [ ] Add clustering support - [ ] Create location display 2. Performance Optimization - [ ] Implement query caching - [ ] Add index optimization - [ ] Create monitoring tools - [ ] Set up profiling ## Technical Decisions Made ### Recent Implementations 1. Location System Design - PostGIS integration matching Django GeoDjango - Polymorphic relationships for flexibility - Legacy coordinate fields for compatibility - Name and location type fields added - Activity logging for location changes - Automatic coordinate sync between formats - Efficient spatial queries using PostGIS - Geography type for accurate calculations - Spatial indexing with GiST 2. GeocodeService Implementation - OpenStreetMap's Nominatim API integration for cost-effective geocoding - 24-hour cache TTL to reduce API calls - Rate limiting (1 request/second) to comply with API terms - Custom exceptions for better error handling - Batch processing support for multiple addresses - Address normalization and validation - Comprehensive error logging - Cache key strategy using MD5 hashes - Memory-efficient response handling - User-Agent compliance with OpenStreetMap requirements 3. Cache Management - 24-hour TTL - Batch processing - Error handling - Logging system 4. Performance Features - Efficient key structure - Optimized data format - Minimal cache churn - Memory management ### Core Architecture Patterns 1. Model Organization - Base models with consistent traits - Enum-based status handling - Automatic statistics updates - Slug history tracking 2. Data Relationships - Operators own parks - Parks contain areas - Areas can nest - Statistics rollup ## Notes and Considerations 1. ✅ Configure OpenStreetMap integration 2. ✅ Consider caching geocoding results 3. May need clustering for large datasets 4. Should implement distance-based search 5. Consider adding location history 6. Plan for offline maps 7. Consider adding route planning 8. ✅ Need to handle OpenStreetMap API errors 9. Consider adding location sharing 10. Plan for mobile optimization 11. Consider adding geofencing 12. ✅ Need location validation ## Issues to Address 1. [ ] Configure storage link for avatars 2. [ ] Add font for letter avatars 3. [ ] Implement email verification 4. [ ] Add profile creation on registration 5. [ ] Set up slug history cleanup 6. [ ] Implement ride count updates 7. [ ] Add status change tracking 8. [ ] Add statistics caching 9. [ ] Implement park galleries 10. [ ] Add position validation 11. [ ] Implement move restrictions 12. [ ] Add performance monitoring 13. [ ] Create statistics reports 14. [ ] Add trend analysis tools 15. [ ] Set up cache invalidation 16. [ ] Add cache warming jobs 17. ✅ Set up OpenStreetMap API integration 18. ✅ Implement OpenStreetMap geocoding