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Add autocomplete functionality for parks: implement BaseAutocomplete class and integrate with forms
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pacnpal
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# Active Context - Laravel Migration Analysis
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# Active Development Context
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**Objective:** Evaluate feasibility and impact of migrating from Django to Laravel
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## Recently Completed
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**Key Decision:** ⛔️ Do NOT proceed with Laravel migration (see detailed analysis in `decisions/laravel_migration_analysis.md`)
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### Park Search Implementation (2024-02-22)
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**Analysis Summary:**
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1. **High Technical Risk**
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- Complex custom Django features
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- Extensive model relationships
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- Specialized history tracking system
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- Geographic/location services integration
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1. Autocomplete Base:
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- Created BaseAutocomplete in core/forms.py
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- Configured project-wide auth requirement
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- Added test coverage for base functionality
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2. **Significant Business Impact**
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- Estimated 4-6 month timeline
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- $180,000-230,000 direct costs
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- Service disruption risks
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- Resource-intensive implementation
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2. Park Search:
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- Implemented ParkAutocomplete class
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- Created ParkSearchForm with autocomplete widget
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- Updated views and templates for integration
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- Added comprehensive test suite
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3. **Critical Systems Affected**
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- Authentication and permissions
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- Data model architecture
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- Template system and HTMX integration
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- API and service layers
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3. Documentation:
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- Updated memory-bank/features/parks/search.md
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- Added test documentation
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- Created user interface guidelines
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**Recommended Direction:**
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1. Maintain and enhance current Django implementation
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2. Focus on feature development and optimization
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3. Consider hybrid approach for new features if needed
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## Active Tasks
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**Next Steps:**
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1. Document current system architecture thoroughly
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2. Identify optimization opportunities
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3. Update dependencies and security
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4. Enhance development workflows
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1. Testing:
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- [ ] Run the test suite with `uv run pytest parks/tests/`
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- [ ] Monitor test coverage with pytest-cov
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- [ ] Verify HTMX interactions work as expected
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**Previous Context:** Park View Modularization work can continue as planned - the decision to maintain Django architecture means we can proceed with planned UI improvements.
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2. Performance Monitoring:
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- [ ] Add database indexes if needed
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- [ ] Monitor query performance
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- [ ] Consider caching strategies
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3. User Experience:
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- [ ] Get feedback on search responsiveness
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- [ ] Monitor error rates
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- [ ] Check accessibility compliance
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## Next Steps
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1. Enhancements:
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- Add geographic search capabilities
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- Implement result caching
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- Add full-text search support
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2. Integration:
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- Extend to other models (Rides, Areas)
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- Add combined search functionality
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- Improve filter integration
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3. Testing:
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- Add Playwright e2e tests
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- Implement performance benchmarks
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- Add accessibility tests
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## Technical Debt
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None currently identified for the search implementation.
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## Dependencies
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- django-htmx-autocomplete
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- pytest-django
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- pytest-cov
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## Notes
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The implementation follows these principles:
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- Authentication-first approach
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- Performance optimization
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- Accessibility compliance
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- Test coverage
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- Clean documentation
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63
memory-bank/features/autocomplete/base.md
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63
memory-bank/features/autocomplete/base.md
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# Base Autocomplete Implementation
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The project uses `django-htmx-autocomplete` with a custom base implementation to ensure consistent behavior across all autocomplete widgets.
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## BaseAutocomplete Class
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Located in `core/forms.py`, the `BaseAutocomplete` class provides project-wide defaults and standardization:
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```python
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from core.forms import BaseAutocomplete
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class MyModelAutocomplete(BaseAutocomplete):
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model = MyModel
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search_attrs = ['name', 'description']
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```
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### Features
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- **Authentication Enforcement**: Requires user authentication by default
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- Controlled via `AUTOCOMPLETE_BLOCK_UNAUTHENTICATED` setting
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- Override `auth_check()` for custom auth logic
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- **Search Configuration**
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- `minimum_search_length = 2` - More responsive than default 3
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- `max_results = 10` - Optimized for performance
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- **Internationalization**
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- All text strings use Django's translation system
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- Customizable messages through class attributes
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### Usage Guidelines
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1. Always extend `BaseAutocomplete` instead of using `autocomplete.Autocomplete` directly
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2. Configure search_attrs based on your model's indexed fields
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3. Use the AutocompleteWidget with proper options:
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```python
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class MyForm(forms.ModelForm):
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class Meta:
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model = MyModel
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fields = ['related_field']
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widgets = {
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'related_field': AutocompleteWidget(
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ac_class=MyModelAutocomplete,
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options={
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"multiselect": True, # For M2M fields
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"placeholder": "Custom placeholder..." # Optional
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}
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)
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}
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```
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### Performance Considerations
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- Keep `search_attrs` minimal and indexed
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- Use `select_related`/`prefetch_related` in custom querysets
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- Consider caching for frequently used results
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### Security Notes
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- Authentication required by default
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- Implements proper CSRF protection via HTMX
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- Rate limiting should be implemented at the web server level
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105
memory-bank/features/parks/search.md
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105
memory-bank/features/parks/search.md
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@@ -0,0 +1,105 @@
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# Park Search Implementation
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## Architecture
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The park search functionality uses a combination of:
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- BaseAutocomplete for search suggestions
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- django-htmx for async updates
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- Django filters for advanced filtering
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### Components
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1. **Forms**
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- `ParkAutocomplete`: Handles search suggestions
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- `ParkSearchForm`: Integrates autocomplete with search form
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2. **Views**
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- `ParkSearchView`: Class-based view handling search and filters
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- `suggest_parks`: Legacy endpoint maintained for backward compatibility
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3. **Templates**
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- Simplified search UI using autocomplete widget
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- Integrated loading indicators
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- Filter form for additional search criteria
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## Implementation Details
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### Search Form
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```python
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class ParkSearchForm(forms.Form):
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park = forms.ModelChoiceField(
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queryset=Park.objects.all(),
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required=False,
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widget=AutocompleteWidget(
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ac_class=ParkAutocomplete,
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attrs={
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'class': 'w-full border-gray-300 rounded-lg form-input dark:border-gray-600 dark:bg-gray-700 dark:text-white',
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'placeholder': 'Search parks...'
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}
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)
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)
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```
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### Autocomplete
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```python
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class ParkAutocomplete(BaseAutocomplete):
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model = Park
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search_attrs = ['name']
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def get_search_results(self, search):
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return (get_base_park_queryset()
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.filter(name__icontains=search)
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.select_related('owner')
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.order_by('name'))
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```
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### View Integration
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```python
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class ParkSearchView(TemplateView):
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template_name = "parks/park_list.html"
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def get_context_data(self, **kwargs):
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context = super().get_context_data(**kwargs)
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context['search_form'] = ParkSearchForm(self.request.GET)
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# ... filter handling ...
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return context
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```
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## Features
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1. **Security**
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- Tiered access control:
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* Public basic search
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* Authenticated users get autocomplete
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* Protected endpoints via settings
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- CSRF protection
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- Input validation
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2. **Real-time Search**
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- Debounced input handling
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- Instant results display
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- Loading indicators
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3. **Accessibility**
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- ARIA labels and roles
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- Keyboard navigation support
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- Screen reader compatibility
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4. **Integration**
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- Works with existing filter system
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- Maintains view mode selection
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- Preserves URL state
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## Performance Considerations
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- Prefetch related owner data
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- Uses base queryset optimizations
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- Debounced search requests
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- Proper index usage on name field
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## Future Improvements
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- Consider adding full-text search
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- Implement result caching
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- Add geographic search capabilities
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- Enhance filter integration
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