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thrillwiki_django_no_react/memory-bank/decisions/wiki_plugin_decisions.md

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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