thrillwiki_django_no_react/memory-bank/features/search/testing-implementation.md

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:

python manage.py test parks.tests

To run specific test classes:

python manage.py test parks.tests.test_models.ParkModelTests
python manage.py test parks.tests.test_filters.ParkFilterTests