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Integrate parks app with site-wide search system; add filter configuration, error handling, and search interfaces
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pacnpal
170
memory-bank/features/search/park-search.md
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170
memory-bank/features/search/park-search.md
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# Park Search Implementation
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## Overview
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Integration of the parks app with the site-wide search system, providing both full search functionality and quick search for dropdowns.
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## Components
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### 1. Filter Configuration (parks/filters.py)
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```python
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ParkFilter = create_model_filter(
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model=Park,
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search_fields=['name', 'description', 'location__city', 'location__state', 'location__country'],
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mixins=[LocationFilterMixin, RatingFilterMixin, DateRangeFilterMixin],
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additional_filters={
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'status': {
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'field_class': 'django_filters.ChoiceFilter',
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'field_kwargs': {
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'choices': Park._meta.get_field('status').choices,
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'empty_label': 'Any status',
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'null_label': 'Unknown'
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}
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},
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'opening_date': {
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'field_class': 'django_filters.DateFromToRangeFilter',
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'field_kwargs': {
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'label': 'Opening date range',
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'help_text': 'Enter dates in YYYY-MM-DD format'
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}
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},
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# Additional filters for rides, size, etc.
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}
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)
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```
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### 2. View Implementation (parks/views.py)
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#### Full Search (ParkListView)
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```python
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class ParkListView(HTMXFilterableMixin, ListView):
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model = Park
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filter_class = ParkFilter
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paginate_by = 20
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def get_queryset(self):
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try:
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return (
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super()
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.get_queryset()
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.select_related("owner")
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.prefetch_related(
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"photos",
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"location",
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"rides",
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"rides__manufacturer"
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)
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.annotate(
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total_rides=Count("rides"),
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total_coasters=Count("rides", filter=Q(rides__category="RC")),
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)
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)
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except Exception as e:
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messages.error(self.request, f"Error loading parks: {str(e)}")
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return Park.objects.none()
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```
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#### Quick Search
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```python
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def search_parks(request):
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try:
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queryset = (
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Park.objects.prefetch_related('location', 'photos')
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.order_by('name')
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)
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filter_params = {'search': request.GET.get('q', '').strip()}
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park_filter = ParkFilter(filter_params, queryset=queryset)
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parks = park_filter.qs[:10]
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return render(request, "parks/partials/park_search_results.html", {
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"parks": parks,
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"is_quick_search": True
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})
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except Exception as e:
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return render(..., {"error": str(e)})
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```
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### 3. Template Structure
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#### Main Search Page (parks/templates/parks/park_list.html)
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- Extends: search/layouts/filtered_list.html
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- Blocks:
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* filter_errors: Validation error display
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* list_header: Park list header + actions
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* filter_section: Filter form with clear option
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* results_section: Park results with pagination
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#### Results Display (search/templates/search/partials/park_results.html)
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- Full park information
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- Status indicators
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- Ride statistics
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- Location details
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- Error state handling
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#### Quick Search Results (parks/partials/park_search_results.html)
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- Simplified park display
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- Basic location info
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- Fallback for missing images
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- Error handling
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### 4. Error Handling
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#### View Level
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- Try/except blocks around queryset operations
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- Filter validation errors captured
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- Generic error states handled
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- User-friendly error messages
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#### Template Level
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- Error states in both quick and full search
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- Safe data access (using with and conditionals)
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- Fallback content for missing data
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- Clear error messaging
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### 5. Query Optimization
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#### Full Search
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- select_related: owner
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- prefetch_related: photos, location, rides, rides__manufacturer
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- Proper annotations for counts
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- Pagination for large results
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#### Quick Search
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- Limited to 10 results
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- Minimal related data loading
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- Basic ordering optimization
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### 6. Known Limitations
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1. Testing Coverage
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- Need unit tests for filters
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- Need integration tests for error cases
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- Need performance testing
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2. Performance
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- Large dataset behavior unknown
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- Complex filter combinations untested
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3. Security
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- SQL injection prevention needs review
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- Permission checks need audit
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4. Accessibility
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- ARIA labels needed
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- Color contrast validation needed
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### 7. Next Steps
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1. Testing
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- Implement comprehensive test suite
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- Add performance benchmarks
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- Test edge cases
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2. Monitoring
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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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3. Optimization
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- Profile query performance
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- Optimize filter combinations
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- Consider caching strategies
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132
memory-bank/features/search/testing-implementation.md
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132
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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