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Integrate parks app with site-wide search system; add filter configuration, error handling, and search interfaces
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memory-bank/features/search/testing-implementation.md
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memory-bank/features/search/testing-implementation.md
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# Park Search Testing Implementation
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## Test Structure
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### 1. Model Tests (parks/tests/test_models.py)
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#### Park Model Tests
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- Basic CRUD Operations
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* Creation with required fields
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* Update operations
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* Deletion and cascading
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* Validation rules
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- Slug Operations
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* Auto-generation on creation
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* Historical slug tracking and lookup (via HistoricalSlug model)
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* pghistory integration for model tracking
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* Uniqueness constraints
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* Fallback lookup strategies
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- Location Integration
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* Formatted location string
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* Coordinates retrieval
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* Location relationship integrity
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- Status Management
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* Default status
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* Status color mapping
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* Status transitions
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- Property Methods
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* formatted_location
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* coordinates
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* get_status_color
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### 2. Filter Tests (parks/tests/test_filters.py)
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#### Search Functionality
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- Text Search Fields
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* Name searching
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* Description searching
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* Location field searching (city, state, country)
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* Combined field searching
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#### Filter Operations
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- Status Filtering
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* Each status value
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* Empty/null handling
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* Invalid status values
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- Date Range Filtering
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* Opening date ranges
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* Invalid date formats
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* Edge cases (future dates, very old dates)
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- Company/Owner Filtering
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* Existing company
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* No owner (null)
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* Invalid company IDs
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- Numeric Filtering
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* Minimum rides count
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* Minimum coasters count
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* Minimum size validation
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* Negative value handling
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#### Mixin Integration
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- LocationFilterMixin
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* Distance-based filtering
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* Location search functionality
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- RatingFilterMixin
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* Rating range filtering
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* Invalid rating values
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- DateRangeFilterMixin
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* Date range application
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* Invalid date handling
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## Implementation Status
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### Completed
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1. ✓ Created test directory structure
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2. ✓ Set up test fixtures in both test files
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3. ✓ Implemented Park model tests
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- Basic CRUD operations
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- Advanced slug functionality:
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* Automatic slug generation from name
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* Historical slug tracking with HistoricalSlug model
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* Dual tracking with pghistory integration
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* Comprehensive lookup system with fallbacks
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- Status color mapping with complete coverage
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- Location integration with error handling
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- Property methods with null safety
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4. ✓ Implemented ParkFilter tests
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- Text search functionality
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- Status filtering
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- Date range filtering
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- Company/owner filtering
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- Numeric filtering with validation
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- Location, Rating, and DateRange mixin integration
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- Performance testing with multiple filters
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### Next Steps
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1. Monitoring Implementation
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- [ ] Add error logging
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- [ ] Implement performance tracking
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- [ ] Add usage analytics
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2. Performance Optimization
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- [ ] Profile query performance in production
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- [ ] Implement caching strategies
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- [ ] Optimize complex filter combinations
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3. Documentation Updates
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- [ ] Add test coverage reports
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- [ ] Document common test patterns
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- [ ] Update API documentation with filter examples
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### Running the Tests
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To run the test suite:
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```bash
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python manage.py test parks.tests
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```
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To run specific test classes:
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```bash
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python manage.py test parks.tests.test_models.ParkModelTests
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python manage.py test parks.tests.test_filters.ParkFilterTests
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```
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