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 functionality
   • Status filtering
   • Date range filtering
   • Company/owner filtering
   • Numeric filtering with validation
   • Location, Rating, and DateRange mixin integration
   • Performance testing with multiple filters

Next Steps

1. Monitoring Implementation

   • Add error logging
   • Implement performance tracking
   • Add usage analytics

2. Performance Optimization

   • Profile query performance in production
   • Implement caching strategies
   • Optimize complex filter combinations

3. Documentation Updates

   • Add test coverage reports
   • Document common test patterns
   • Update API documentation with filter examples

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