Integrate parks app with site-wide search system; add filter configuration, error handling, and search interfaces

This commit is contained in:
pacnpal
2025-02-12 16:59:20 -05:00
parent af57592496
commit 1fe299fb4b
13 changed files with 1267 additions and 72 deletions

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## Recent Changes
### Last Update: 2025-02-06
### Last Update: 2025-02-12
- Integrated parks app with site-wide search system
* Added comprehensive filter configuration
* Implemented error handling
* Created both full and quick search interfaces
* See `features/search/park-search.md` for details
### Previous Update: 2025-02-06
1. Memory Bank Initialization
- Created core documentation structure
- Migrated existing documentation

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# Park Search Integration
## Overview
Integrated the parks app with the site-wide search system to provide consistent filtering and search capabilities across the platform.
## Implementation Details
### 1. Filter Configuration
```python
# parks/filters.py
ParkFilter = create_model_filter(
model=Park,
search_fields=['name', 'description', 'location__city', 'location__state', 'location__country'],
mixins=[LocationFilterMixin, RatingFilterMixin, DateRangeFilterMixin],
additional_filters={
'status': {
'field_class': 'django_filters.ChoiceFilter',
'field_kwargs': {'choices': Park._meta.get_field('status').choices}
},
'opening_date': {
'field_class': 'django_filters.DateFromToRangeFilter',
},
'owner': {
'field_class': 'django_filters.ModelChoiceFilter',
'field_kwargs': {'queryset': 'companies.Company.objects.all()'}
},
'min_rides': {
'field_class': 'django_filters.NumberFilter',
'field_kwargs': {'field_name': 'ride_count', 'lookup_expr': 'gte'}
},
'min_coasters': {
'field_class': 'django_filters.NumberFilter',
'field_kwargs': {'field_name': 'coaster_count', 'lookup_expr': 'gte'}
},
'min_size': {
'field_class': 'django_filters.NumberFilter',
'field_kwargs': {'field_name': 'size_acres', 'lookup_expr': 'gte'}
}
}
)
```
### 2. View Integration
- Updated `ParkListView` to use `HTMXFilterableMixin`
- Configured proper queryset optimization with `select_related` and `prefetch_related`
- Added pagination support
- Maintained ride count annotations
### 3. Template Structure
- Created `search/templates/search/partials/park_results.html` for consistent result display
- Includes:
- Park image thumbnails
- Basic park information
- Location details
- Status indicators
- Ride count badges
- Rating display
### 4. Quick Search Support
- Modified `search_parks` view for dropdown/quick search scenarios
- Uses the same filter system but with simplified output
- Limited to 10 results for performance
- Added location preloading
## Benefits
1. Consistent filtering across the platform
2. Enhanced search capabilities with location and rating filters
3. Improved performance through proper query optimization
4. Better maintainability using the site-wide search system
5. HTMX-powered dynamic updates
## Technical Notes
- Uses django-filter backend
- Integrates with location and rating mixins
- Supports both full search and quick search use cases
- Maintains existing functionality while improving code organization

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

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# 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:
```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
```