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- Created critical functionality audit report identifying 7 critical issues affecting production readiness. - Added design assessment report highlighting exceptional design quality and minor cosmetic fixes needed. - Documented non-authenticated features testing results confirming successful functionality and public access. - Implemented ride search form with autocomplete functionality and corresponding templates for search results. - Developed tests for ride autocomplete functionality, ensuring proper filtering and authentication checks.
74 lines
2.7 KiB
Markdown
74 lines
2.7 KiB
Markdown
# Ride Search Architecture Decision
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**Date**: 2025-06-24
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**Status**: Planned
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**Context**: Extending search functionality from parks to rides
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## Decision
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Implement ride search functionality following the established BaseAutocomplete pattern with these key architectural decisions:
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### 1. Pattern Consistency
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- **Extend BaseAutocomplete**: Use same authentication-first approach as park search
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- **Mirror Structure**: RideAutocomplete + RideSearchForm following ParkAutocomplete pattern
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- **HTMX Integration**: Same frontend interaction patterns for consistency
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### 2. Relationship Handling
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- **Park Context**: Rides belong to parks via ForeignKey, search results must show both
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- **Query Optimization**: Use `select_related('park')` for efficient database queries
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- **Result Display**: Show "Ride Name - Park Name" format in autocomplete results
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### 3. Database Strategy
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- **Indexes**: Add database indexes on `Ride.name` and `Ride.park_id`
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- **Query Limits**: Limit autocomplete to 10 results for performance
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- **Filtering**: Support filtering by park, thrill level, duration
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### 4. Frontend Architecture
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- **Component Reuse**: Leverage existing search CSS and JavaScript patterns
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- **HTMX Endpoints**: `/search/rides/autocomplete/` and `/search/rides/results/`
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- **AlpineJS State**: Manage selection state and form interactions
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### 5. Testing Strategy
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- **Unit Tests**: RideAutocomplete, RideSearchForm, and filter logic
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- **Integration Tests**: HTMX responses and authentication requirements
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- **Performance Tests**: Large dataset handling and query optimization
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## Rationale
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This approach ensures:
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- **Consistency**: Users get familiar interaction patterns
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- **Performance**: Optimized queries and result limiting
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- **Maintainability**: Follows established codebase patterns
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- **Scalability**: Database indexes and query optimization
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## Implementation Files
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### Core Components
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- `search/mixins.py` - RideAutocomplete class
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- `search/forms.py` - RideSearchForm class
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- `search/urls.py` - URL routing for ride endpoints
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- `rides/views.py` - RideSearchView with authentication
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### Templates
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- `search/templates/search/partials/_ride_search.html` - Search form
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- `rides/templates/rides/partials/ride_results.html` - Results display
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### Tests
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- `search/tests/test_autocomplete.py` - RideAutocomplete tests
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- `search/tests/test_forms.py` - RideSearchForm tests
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- `rides/tests/test_search_view.py` - View and integration tests
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## Next Steps
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1. Code mode implementation of core components
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2. Database migration for indexes
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3. Template creation and HTMX integration
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4. Comprehensive test suite
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5. Performance validation
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## Dependencies
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- Existing BaseAutocomplete infrastructure
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- HTMX and AlpineJS frontend stack
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- Django authentication system
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- Ride model with park relationship |