# Wiki Plugin Implementation Decisions ## Parks Plugin Design Decisions ### 1. Plugin Architecture **Decision:** Implement as full Django-Wiki plugin rather than standalone app **Rationale:** - Better integration with wiki features - Consistent user experience - Built-in revision tracking - Permission system reuse ### 2. Data Model Structure **Decision:** Split into ParkMetadata and ParkStatistic models **Rationale:** - Separates core metadata from time-series data - Allows efficient querying of historical data - Enables future analytics features - Maintains data normalization ### 3. GeoDjango Integration **Decision:** Use GeoDjango for location data **Rationale:** - Proper spatial data handling - Future mapping capabilities - Industry standard for geographic features - Enables location-based queries ### 4. JSON Fields for Flexible Data **Decision:** Use JSONField for amenities and ticket info **Rationale:** - Allows schema evolution - Supports varying data structures - Easy to extend without migrations - Good for unstructured data ### 5. Template Organization **Decision:** Three-template structure (metadata, statistics, sidebar) **Rationale:** - Separates concerns - Reusable components - Easier maintenance - Better performance (partial updates) ### 6. Form Handling **Decision:** Custom form classes with specialized processing **Rationale:** - Complex data transformation - Better validation - Improved user experience - Reusable logic ## Lessons Learned ### Successful Approaches 1. Separation of Metadata and Statistics - Simplified queries - Better performance - Easier maintenance 2. Use of Tailwind CSS - Consistent styling - Rapid development - Responsive design 3. Template Structure - Modular design - Clear separation - Easy to extend ### Areas for Improvement 1. Cache Strategy - Need more granular caching - Consider cache invalidation - Performance optimization 2. Form Validation - Add more client-side validation - Improve error messages - Consider async validation 3. Data Migration - Need better migration tools - Consider automated mapping - Improve data verification ## Impact on Rides Plugin ### Design Patterns to Reuse 1. Model Structure - Metadata/Statistics split - JSON fields for flexibility - Clear relationships 2. Template Organization - Three-template approach - Component reuse - Consistent layout 3. Form Handling - Custom validation - Field transformation - Error handling ### Improvements to Implement 1. Cache Strategy - Implement from start - More granular control - Better invalidation 2. Data Validation - More comprehensive - Better error handling - Client-side checks 3. Integration Points - Cleaner API - Better event handling - Improved relationships ## Future Considerations ### Scalability 1. Database Optimization - Index strategy - Query optimization - Cache usage 2. Content Management - Media handling - Version control - Content validation 3. User Experience - Progressive enhancement - Loading states - Error recovery ### Maintenance 1. Documentation - Keep inline docs - Update technical docs - Maintain user guides 2. Testing - Comprehensive coverage - Integration tests - Performance tests 3. Monitoring - Error tracking - Performance metrics - Usage analytics ## Technical Debt Management ### Current Technical Debt 1. Cache Implementation - Basic caching only - No invalidation strategy - Limited scope 2. Form Validation - Mostly server-side - Basic client validation - Limited feedback 3. Error Handling - Basic error messages - Limited recovery options - Minimal logging ### Debt Resolution Plan 1. Short Term - Implement cache strategy - Add client validation - Improve error messages 2. Medium Term - Optimize queries - Add monitoring - Enhance testing 3. Long Term - Full cache system - Advanced validation - Comprehensive logging