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thrillwiki_laravel/memory-bank/activeContext.md

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# 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