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Implement wiki and parks plugin architecture: add initial app configurations, models, and update dependencies
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# Active Development Context
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# Active Context - Wiki Migration & Integration
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## Recently Completed
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## Current Status
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Corrected implementation strategy to use wiki-only approach instead of dual-system.
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### Park Search Implementation (2024-02-22)
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### Completed Components
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1. Wiki Plugin Structure
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- Models for park metadata
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- Forms for data input
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- Templates for display
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- URL configurations
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1. Autocomplete Base:
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- Created BaseAutocomplete in core/forms.py
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- Configured project-wide auth requirement
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- Added test coverage for base functionality
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2. Documentation
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- Technical specifications
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- Migration guide
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- Implementation decisions
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- User guide
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2. Park Search:
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- Implemented ParkAutocomplete class
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- Created ParkSearchForm with autocomplete widget
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- Updated views and templates for integration
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- Added comprehensive test suite
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### Current Focus
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Migration to wiki-only system
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3. Documentation:
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- Updated memory-bank/features/parks/search.md
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- Added test documentation
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- Created user interface guidelines
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## Immediate Tasks
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## Active Tasks
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### 1. Data Migration
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- [x] Create migration script
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- [ ] Test migration in development
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- [ ] Backup production data
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- [ ] Execute migration
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- [ ] Verify data integrity
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1. Testing:
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- [ ] Run the test suite with `uv run pytest parks/tests/`
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- [ ] Monitor test coverage with pytest-cov
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- [ ] Verify HTMX interactions work as expected
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### 2. URL Structure
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- [x] Update URL configuration
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- [x] Add redirects from old URLs
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- [ ] Test all redirects
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- [ ] Monitor 404 errors
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2. Performance Monitoring:
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- [ ] Add database indexes if needed
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- [ ] Monitor query performance
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- [ ] Consider caching strategies
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3. User Experience:
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- [ ] Get feedback on search responsiveness
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- [ ] Monitor error rates
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- [ ] Check accessibility compliance
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### 3. Template Cleanup
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- [x] Remove dual-system templates
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- [x] Update wiki templates
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- [ ] Remove legacy templates
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- [ ] Clean up static files
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## Next Steps
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1. Enhancements:
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- Add geographic search capabilities
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- Implement result caching
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- Add full-text search support
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### 1. Migration Testing (Priority High)
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```bash
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# Test migration command
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uv run manage.py migrate_to_wiki --dry-run
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```
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2. Integration:
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- Extend to other models (Rides, Areas)
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- Add combined search functionality
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- Improve filter integration
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### 2. Plugin Refinement
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- Add missing metadata fields
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- Optimize queries
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- Implement caching
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- Add validation
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3. Testing:
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- Add Playwright e2e tests
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- Implement performance benchmarks
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- Add accessibility tests
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### 3. User Experience
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- Update navigation
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- Add search integration
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- Improve metadata forms
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- Add quick actions
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## Technical Debt
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## Technical Requirements
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None currently identified for the search implementation.
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### Migration
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1. Database Backup
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```sql
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pg_dump thrillwiki > backup.sql
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```
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## Dependencies
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2. Data Verification
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```python
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# Verify counts match
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parks_count = Park.objects.count()
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wiki_count = Article.objects.filter(
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plugin_parks_parkmetadata__isnull=False
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).count()
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```
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- django-htmx-autocomplete
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- pytest-django
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- pytest-cov
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3. Performance Monitoring
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- Monitor database load
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- Watch memory usage
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- Track response times
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### Integration Points
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1. User Authentication
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- Wiki permissions
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- Role mapping
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- Access control
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2. Media Handling
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- Image storage
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- File management
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- Gallery support
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3. Search Integration
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- Index wiki content
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- Include metadata
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- Update search views
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## Risks and Mitigations
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### Data Loss Prevention
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- Complete backup before migration
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- Dry run verification
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- Rollback plan prepared
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- Data integrity checks
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### Performance Impact
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- Monitor database load
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- Cache aggressively
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- Optimize queries
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- Staged migration
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### User Disruption
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- Clear communication
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- Maintenance window
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- Quick rollback option
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- Support documentation
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## Success Criteria
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1. All park data migrated
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2. No data loss
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3. All features functional
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4. Performance maintained
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5. Users can access content
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6. Search working correctly
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## Notes
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The implementation follows these principles:
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- Authentication-first approach
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- Performance optimization
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- Accessibility compliance
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- Test coverage
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- Clean documentation
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- Keep old models temporarily
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- Monitor error logs
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- Document all issues
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- Track performance metrics
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