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thrillwiki_django_no_react/memory-bank/features/ride-search-improvements.md

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Ride Search HTMX Improvements

Implementation Status: COMPLETED AND VERIFIED

Current Implementation

1. Smart Search (Implemented)

  • Split search terms for flexible matching (e.g. "steel dragon" matches "Steel Dragon 2000")
  • Searches across multiple fields:
    • Ride name
    • Park name
    • Description
  • Uses Django Q objects for complex queries
  • Real-time HTMX-powered updates

2. Search Suggestions (Implemented)

  • Real-time suggestions with 200ms delay
  • Three types of suggestions:
    • Common matching ride names (with count)
    • Matching parks (with location)
    • Matching categories (with ride count)
  • Styled dropdown with icons and hover states
  • Keyboard navigation support

3. Quick Filters (Implemented)

  • Category filters from CATEGORY_CHOICES
  • Operating status filter
  • All filters use HTMX for instant updates
  • Maintains search context when filtering
  • Visual active state on selected filter

4. Active Filter Tags (Implemented)

  • Shows currently active filters:
    • Search terms
    • Selected category
    • Operating status
  • One-click removal via HTMX
  • Updates URL for bookmarking/sharing

5. Visual Feedback (Implemented)

  • Loading spinner during HTMX requests
  • Clear visual states for filter buttons
  • Real-time feedback on search/filter actions
  • Dark mode compatible styling

Technical Details

View Implementation

def get_queryset(self):
    """Get filtered rides based on search and filters"""
    queryset = Ride.objects.all().select_related(
        'park',
        'ride_model',
        'ride_model__manufacturer'
    ).prefetch_related('photos')

    # Search term handling
    search = self.request.GET.get('q', '').strip()
    if search:
        # Split search terms for more flexible matching
        search_terms = search.split()
        search_query = Q()
        
        for term in search_terms:
            term_query = Q(
                name__icontains=term
            ) | Q(
                park__name__icontains=term
            ) | Q(
                description__icontains=term
            )
            search_query &= term_query
        
        queryset = queryset.filter(search_query)

    # Category filter
    category = self.request.GET.get('category')
    if category and category != 'all':
        queryset = queryset.filter(category=category)

    # Operating status filter
    if self.request.GET.get('operating') == 'true':
        queryset = queryset.filter(status='operating')

    return queryset

Template Structure

  • ride_list.html: Main template with search and filters
  • search_suggestions.html: Dropdown suggestion UI
  • ride_list_results.html: Results grid (HTMX target)

Key Fixes Applied

  1. Template Path Resolution

    • CRITICAL FIX: Resolved template inheritance confusion
    • Removed duplicate base.html templates
    • Moved template to correct location: templates/base/base.html
    • All templates now correctly extend "base/base.html"
    • Template loading order matches Django's settings
  2. URL Resolution

    • Replaced all relative "." URLs with explicit URLs using {% url %}
    • Example: hx-get="{% url 'rides:global_ride_list' %}"
    • Prevents conflicts with global search in base template
  3. HTMX Configuration

    • All HTMX triggers properly configured
    • Fixed grid layout persistence:
      • Removed duplicate grid classes from parent template
      • Grid classes now only in partial template
      • Prevents layout breaking during HTMX updates
    • Proper event delegation for dynamic content

Verification Points

  1. Search updates in real-time
  2. Filters work independently and combined
  3. Suggestions appear as you type
  4. Loading states show during requests
  5. Dark mode properly supported
  6. URL state maintained for sharing
  7. No conflicts with global search
  8. All templates resolve correctly

Future Considerations

  1. Consider caching frequent searches
  2. Monitor performance with large datasets
  3. Add analytics for most used filters
  4. Consider adding saved searches feature