# Park Search Testing Implementation

## Test Structure

### 1. Model Tests (parks/tests/test_models.py)

#### Park Model Tests
- Basic CRUD Operations
  * Creation with required fields
  * Update operations
  * Deletion and cascading
  * Validation rules

- Slug Operations
  * Auto-generation on creation
  * Historical slug tracking and lookup (via HistoricalSlug model)
  * pghistory integration for model tracking
  * Uniqueness constraints
  * Fallback lookup strategies

- Location Integration
  * Formatted location string
  * Coordinates retrieval
  * Location relationship integrity

- Status Management
  * Default status
  * Status color mapping
  * Status transitions

- Property Methods
  * formatted_location
  * coordinates
  * get_status_color

### 2. Filter Tests (parks/tests/test_filters.py)

#### Search Functionality
- Text Search Fields
  * Name searching
  * Description searching
  * Location field searching (city, state, country)
  * Combined field searching

#### Filter Operations
- Status Filtering
  * Each status value
  * Empty/null handling
  * Invalid status values

- Date Range Filtering
  * Opening date ranges
  * Invalid date formats
  * Edge cases (future dates, very old dates)

- Company/Owner Filtering
  * Existing company
  * No owner (null)
  * Invalid company IDs

- Numeric Filtering
  * Minimum rides count
  * Minimum coasters count
  * Minimum size validation
  * Negative value handling

#### Mixin Integration
- LocationFilterMixin
  * Distance-based filtering
  * Location search functionality

- RatingFilterMixin
  * Rating range filtering
  * Invalid rating values

- DateRangeFilterMixin
  * Date range application
  * Invalid date handling

## Implementation Status

### Completed
1. ✓ Created test directory structure
2. ✓ Set up test fixtures in both test files
3. ✓ Implemented Park model tests
   - Basic CRUD operations
   - Advanced slug functionality:
     * Automatic slug generation from name
     * Historical slug tracking with HistoricalSlug model
     * Dual tracking with pghistory integration
     * Comprehensive lookup system with fallbacks
   - Status color mapping with complete coverage
   - Location integration with error handling
   - Property methods with null safety
4. ✓ Implemented ParkFilter tests
   - Text search with multiple field support
   - Status filtering with validation and choice handling
   - Date range filtering with format validation
   - Company/owner filtering with comprehensive null handling
   - Numeric filtering with integer validation and bounds checking
   - Empty value handling across all filters
   - Test coverage for edge cases and invalid inputs
   - Performance validation for complex filter combinations

### Next Steps

1. Performance Optimization
   - [ ] Add query count assertions to tests
   - [ ] Profile filter combinations impact
   - [ ] Implement caching for common filters
   - [ ] Add database indexes for frequently filtered fields

2. Monitoring and Analytics
   - [ ] Add filter usage tracking
   - [ ] Implement performance monitoring
   - [ ] Track common filter combinations
   - [ ] Monitor query execution times

3. Documentation and Maintenance
   - [ ] Add filter example documentation
   - [ ] Document filter combinations and best practices
   - [ ] Create performance troubleshooting guide
   - [ ] Add test coverage reports and analysis

4. Future Enhancements
   - [ ] Add saved filter support
   - [ ] Implement filter presets
   - [ ] Add advanced combination operators (AND/OR)
   - [ ] Support dynamic field filtering

### Running the Tests

To run the test suite:
```bash
python manage.py test parks.tests
```

To run specific test classes:
```bash
python manage.py test parks.tests.test_models.ParkModelTests
python manage.py test parks.tests.test_filters.ParkFilterTests
```