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