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c# Active Context

Current Focus

  • COMPLETED: RideModel API Directory Structure Reorganization: Successfully reorganized API directory structure to match nested URL organization with mandatory nested file structure
  • COMPLETED: RideModel API Reorganization: Successfully reorganized RideModel endpoints from separate top-level /api/v1/ride-models/ to nested /api/v1/rides/manufacturers/<manufacturerSlug>/<ridemodelSlug>/ structure
  • COMPLETED: django-cloudflare-images Integration: Successfully implemented complete Cloudflare Images integration across rides and parks models with full API support including banner/card image settings
  • COMPLETED: Enhanced Stats API Endpoint: Successfully updated /api/v1/stats/ endpoint with comprehensive platform statistics
  • COMPLETED: Maps API Implementation: Successfully implemented all map endpoints with full functionality
  • COMPLETED: Comprehensive Rides Filtering System: Successfully implemented comprehensive filtering capabilities for rides API with 25+ filter parameters and enhanced filter options endpoint
  • COMPLETED: New Content API Field Updates: Successfully updated the "newly_opened" API response to replace "location" field with "park" and "date_opened" fields
  • COMPLETED: Celery Integration for Trending Content: Successfully implemented Celery asynchronous task processing for trending content calculations with Redis backend
  • COMPLETED: Manual Trigger Endpoint for Trending Content: Successfully implemented admin-only POST endpoint to manually trigger trending content calculations
  • COMPLETED: URL Fields in Trending and New Content Endpoints: Successfully added url fields to all trending and new content API responses for frontend navigation
  • COMPLETED: Park URL Optimization: Successfully optimized park URL usage to use ride.park.url instead of redundant ride.park_url field for better data consistency
  • Features Implemented:
    • RideModel API Directory Structure: Moved files from backend/apps/api/v1/ride_models/ to backend/apps/api/v1/rides/manufacturers/ to match nested URL organization
    • RideModel API Reorganization: Nested endpoints under rides/manufacturers, manufacturer-scoped slugs, integrated with ride creation/editing, removed top-level endpoint
    • Cloudflare Images: Model field updates, API serializer enhancements, image variants, transformations, upload examples, comprehensive documentation
    • Stats API: Entity counts, photo counts, category breakdowns, status breakdowns, review counts, automatic cache invalidation, caching, public access, OpenAPI documentation
    • Maps API: Location retrieval, bounds filtering, text search, location details, clustering support, caching, comprehensive serializers, OpenAPI documentation
    • Comprehensive Rides Filtering: 25+ filter parameters, enhanced filter options endpoint, roller coaster specific filters, range filters, boolean filters, multiple value support, comprehensive ordering options
    • Celery Integration: Asynchronous trending content calculation, Redis broker configuration, real database-driven responses replacing mock data
    • Manual Trigger Endpoint: Admin-only POST /api/v1/trending/calculate/ endpoint with task ID responses and proper error handling

Recent Changes

RideModel API Directory Structure Reorganization - COMPLETED:

  • Reorganized: API directory structure from backend/apps/api/v1/ride_models/ to backend/apps/api/v1/rides/manufacturers/
  • Files Moved:
    • backend/apps/api/v1/ride_models/__init__.py → backend/apps/api/v1/rides/manufacturers/__init__.py
    • backend/apps/api/v1/ride_models/urls.py → backend/apps/api/v1/rides/manufacturers/urls.py
    • backend/apps/api/v1/ride_models/views.py → backend/apps/api/v1/rides/manufacturers/views.py
  • Import Path Updated: backend/apps/api/v1/rides/urls.py - Updated include path from apps.api.v1.ride_models.urls to apps.api.v1.rides.manufacturers.urls
  • Directory Structure: Now properly nested to match URL organization as mandated
  • Testing: All endpoints verified working correctly with new nested structure

RideModel API Reorganization - COMPLETED:

  • Reorganized: RideModel endpoints from /api/v1/ride-models/ to /api/v1/rides/manufacturers/<manufacturerSlug>/<ridemodelSlug>/
  • Slug System: Updated to manufacturer-scoped slugs (e.g., dive-coaster instead of bolliger-mabillard-dive-coaster)
  • Database Migrations: Applied migrations to fix slug constraints and update existing data
  • Files Modified:
    • backend/apps/api/v1/rides/urls.py - Added nested include for manufacturers.urls
    • backend/apps/api/v1/urls.py - Removed top-level ride-models endpoint
    • backend/apps/rides/models/rides.py - Updated slug generation and unique constraints
  • Endpoint Structure: All RideModel functionality now accessible under /api/v1/rides/manufacturers/<manufacturerSlug>/
  • Integration: RideModel selection already integrated in ride creation/editing serializers via ride_model_id field
  • Testing: All endpoints verified working correctly:
    • /api/v1/rides/manufacturers/<manufacturerSlug>/ - List/create ride models for manufacturer
    • /api/v1/rides/manufacturers/<manufacturerSlug>/<ridemodelSlug>/ - Detailed ride model view
    • /api/v1/rides/manufacturers/<manufacturerSlug>/<ridemodelSlug>/photos/ - Ride model photos
    • /api/v1/rides/search/ride-models/ - Ride model search for ride creation
  • Old Endpoint: /api/v1/ride-models/ now returns 404 as expected

django-cloudflare-images Integration - COMPLETED:

  • Implemented: Complete Cloudflare Images integration for rides and parks models
  • Files Created/Modified:
    • backend/apps/rides/models/media.py - Updated RidePhoto.image to CloudflareImagesField
    • backend/apps/parks/models/media.py - Updated ParkPhoto.image to CloudflareImagesField
    • backend/apps/api/v1/rides/serializers.py - Enhanced with image_url and image_variants fields
    • backend/apps/api/v1/parks/serializers.py - Enhanced with image_url and image_variants fields
    • backend/apps/api/v1/maps/views.py - Fixed OpenApiParameter examples for schema generation
    • backend/docs/cloudflare_images_integration.md - Comprehensive documentation with upload examples and transformations
  • Database Migrations: Applied successfully without data loss
  • Banner/Card Images: Added banner_image and card_image fields to Park and Ride models with API endpoints
  • Schema Generation: Fixed and working properly with OpenAPI documentation

Enhanced Stats API Endpoint - COMPLETED:

  • Updated: /api/v1/stats/ endpoint for platform statistics
  • Files Created/Modified:
    • backend/apps/api/v1/views/stats.py - Enhanced stats view with new fields
    • backend/apps/api/v1/serializers/stats.py - Updated serializer with new fields
    • backend/apps/api/v1/signals.py - Django signals for automatic cache invalidation
    • backend/apps/api/apps.py - App config to load signals
    • backend/apps/api/v1/urls.py - Stats URL routing

Maps API Implementation - COMPLETED:

  • Implemented: Complete maps API with 4 main endpoints
  • Files Created/Modified:
    • backend/apps/api/v1/maps/views.py - All map view implementations
    • backend/apps/api/v1/serializers/maps.py - Comprehensive map serializers
    • backend/apps/api/v1/maps/urls.py - Map URL routing (existing)

Comprehensive Rides Filtering System - COMPLETED:

  • Implemented: Complete comprehensive filtering system for rides API
  • Files Modified:
    • backend/apps/api/v1/rides/views.py - Enhanced RideListCreateAPIView with 25+ filter parameters and comprehensive FilterOptionsAPIView
  • Filter Categories Implemented:
    • Basic Filters: Text search, park filtering (ID/slug), pagination
    • Category Filters: Multiple ride categories (RC, DR, FR, WR, TR, OT) with multiple value support
    • Status Filters: Multiple ride statuses with multiple value support
    • Company Filters: Manufacturer and designer filtering by ID/slug
    • Ride Model Filters: Filter by specific ride models (ID or slug with manufacturer)
    • Rating Filters: Min/max average rating filtering (1-10 scale)
    • Physical Spec Filters: Height requirements, capacity ranges
    • Date Filters: Opening year, date ranges, specific years
    • Roller Coaster Specific: Type, track material, launch type, height/speed/inversions
    • Boolean Filters: Has inversions toggle
    • Ordering: 14 different ordering options including coaster stats
  • Filter Options Endpoint: Enhanced /api/v1/rides/filter-options/ with comprehensive metadata
    • Categories, statuses, roller coaster types, track materials, launch types
    • Ordering options with human-readable labels
    • Filter ranges with min/max/step/unit metadata
    • Boolean filter definitions
  • Performance Optimizations: Optimized querysets with select_related and prefetch_related
  • Error Handling: Graceful handling of invalid filter values with try/catch blocks
  • Multiple Value Support: Categories and statuses support multiple values via getlist()

Celery Integration for Trending Content - COMPLETED:

  • Implemented: Complete Celery integration for asynchronous trending content calculations
  • Files Created/Modified:
    • backend/config/celery.py - Celery configuration with Redis broker and result backend
    • backend/thrillwiki/celery.py - Celery app initialization and autodiscovery
    • backend/apps/core/tasks/__init__.py - Tasks package initialization
    • backend/apps/core/tasks/trending.py - Celery tasks for trending and new content calculation
    • backend/apps/core/services/trending_service.py - Updated to use Celery tasks and return proper field structure
    • backend/apps/api/v1/views/trending.py - Removed mock data, integrated with Celery-powered service
  • Database Migrations: Applied Celery database tables successfully
  • Field Structure Updates: Updated "newly_opened" response to include "park" and "date_opened" fields instead of "location"
  • Mock Data Removal: Completely removed all mock data from trending endpoints, now using real database queries
  • Redis Integration: Configured Redis as Celery broker and result backend for task processing
  • Task Processing: Asynchronous calculation of trending content with proper caching and performance optimization

Manual Trigger Endpoint for Trending Content - COMPLETED:

  • Implemented: Admin-only POST endpoint to manually trigger trending content calculations
  • Files Modified:
    • backend/apps/api/v1/views/trending.py - Added TriggerTrendingCalculationAPIView with admin permissions
    • backend/apps/api/v1/urls.py - Added URL routing for manual trigger endpoint
    • backend/apps/api/v1/views/__init__.py - Added new view to exports
    • docs/frontend.md - Updated with comprehensive endpoint documentation
  • Endpoint: POST /api/v1/trending/calculate/ - Triggers both trending and new content calculation tasks
  • Permissions: Admin-only access (IsAdminUser permission class)
  • Response: Returns task IDs and estimated completion times for both triggered tasks
  • Error Handling: Proper error responses for failed task triggers and unauthorized access

Technical Implementation:

  • Stats Endpoint: GET /api/v1/stats/ - Returns comprehensive platform statistics
  • Maps Endpoints:
    • GET /api/v1/maps/locations/ - Get map locations with filtering, bounds, search, clustering
    • GET /api/v1/maps/locations/<type>/<id>/ - Get detailed location information
    • GET /api/v1/maps/search/ - Search locations by text query with pagination
    • GET /api/v1/maps/bounds/ - Get locations within geographic bounds
    • GET /api/v1/maps/stats/ - Get map service statistics
    • DELETE/POST /api/v1/maps/cache/ - Cache management endpoints
  • Authentication: Public endpoints (AllowAny permission)
  • Caching: 5-minute cache with automatic invalidation for maps, immediate cache for stats
  • Documentation: Full OpenAPI schema with drf-spectacular for all endpoints
  • Response Format: JSON with comprehensive location data, statistics, and metadata
  • Features: Geographic bounds filtering, text search, pagination, clustering support, detailed location info

Active Files

RideModel API Reorganization Files

  • backend/apps/api/v1/rides/urls.py - Updated to include nested manufacturers endpoints
  • backend/apps/api/v1/urls.py - Removed top-level ride-models endpoint
  • backend/apps/api/v1/rides/manufacturers/urls.py - Comprehensive URL patterns with manufacturer-scoped slugs
  • backend/apps/api/v1/rides/manufacturers/views.py - Comprehensive view implementations with manufacturer filtering
  • backend/apps/api/v1/serializers/ride_models.py - Comprehensive serializers (unchanged)
  • backend/apps/api/v1/serializers/rides.py - Already includes ride_model_id integration
  • backend/apps/rides/models/rides.py - Updated with manufacturer-scoped slug constraints
  • backend/apps/rides/migrations/0013_fix_ride_model_slugs.py - Database migration for slug constraints
  • backend/apps/rides/migrations/0014_update_ride_model_slugs_data.py - Data migration to update existing slugs

Cloudflare Images Integration Files

  • backend/apps/rides/models/media.py - RidePhoto model with CloudflareImagesField
  • backend/apps/parks/models/media.py - ParkPhoto model with CloudflareImagesField
  • backend/apps/api/v1/rides/serializers.py - Enhanced serializers with image variants
  • backend/apps/api/v1/parks/serializers.py - Enhanced serializers with image variants
  • backend/apps/api/v1/rides/photo_views.py - Photo upload endpoints for rides
  • backend/apps/api/v1/parks/views.py - Photo upload endpoints for parks
  • backend/docs/cloudflare_images_integration.md - Complete documentation

Stats API Files

  • backend/apps/api/v1/views/stats.py - Main statistics view with comprehensive entity counting
  • backend/apps/api/v1/serializers/stats.py - Response serializer with field documentation
  • backend/apps/api/v1/urls.py - URL routing including new stats endpoint

Maps API Files

  • backend/apps/api/v1/maps/views.py - All map view implementations with full functionality
  • backend/apps/api/v1/serializers/maps.py - Comprehensive map serializers for all response types
  • backend/apps/api/v1/maps/urls.py - Map URL routing configuration

Celery Integration Files

  • backend/config/celery.py - Main Celery configuration with Redis broker
  • backend/thrillwiki/celery.py - Celery app initialization and task autodiscovery
  • backend/apps/core/tasks/__init__.py - Tasks package initialization
  • backend/apps/core/tasks/trending.py - Trending content calculation tasks
  • backend/apps/core/services/trending_service.py - Updated service using Celery tasks
  • backend/apps/api/v1/views/trending.py - Updated views without mock data, includes manual trigger endpoint
  • backend/apps/api/v1/urls.py - Updated with manual trigger endpoint routing
  • backend/apps/api/v1/views/__init__.py - Updated exports for new trigger view
  • docs/frontend.md - Updated with manual trigger endpoint documentation

Permanent Rules Established

CREATED: cline_docs/permanent_rules.md - Permanent development rules that must be followed in all future work.

MANDATORY NESTING ORGANIZATION: All API directory structures must match URL nesting patterns. No exceptions.

RIDE TYPES vs RIDE MODELS DISTINCTION (ALL RIDE CATEGORIES):

  • Ride Types: Operational characteristics/classifications for ALL ride categories (not just roller coasters)
    • Roller Coasters: "inverted", "suspended", "wing", "dive", "flying", "spinning", "wild mouse"
    • Dark Rides: "trackless", "boat", "omnimover", "simulator", "walk-through"
    • Flat Rides: "spinning", "swinging", "drop tower", "ferris wheel", "carousel"
    • Water Rides: "log flume", "rapids", "water coaster", "splash pad"
    • Transport: "monorail", "gondola", "train", "people mover"
  • Ride Models: Specific manufacturer designs/products stored in RideModel (e.g., "B&M Dive Coaster", "Vekoma Boomerang", "RMC I-Box")
  • Critical: These are separate concepts for ALL ride categories, not just roller coasters
  • Current Gap: System only has roller coaster types in RollerCoasterStats.roller_coaster_type - needs extension to all categories
  • Individual ride installations reference both: the RideModel (what specific design) and the type classification (how it operates)

Next Steps

  1. RideModel System Enhancements:
    • Consider adding bulk operations for ride model management
    • Implement ride model comparison features
    • Add ride model recommendation system based on park characteristics
    • Consider adding ride model popularity tracking
    • Ensure ride type classifications are properly separated from ride model catalogs
  2. Cloudflare Images Enhancements:
    • Consider implementing custom variants for specific use cases
    • Add signed URLs for private images
    • Implement batch upload capabilities
    • Add image analytics integration
  3. Maps API Enhancements:
    • Implement clustering algorithm for high-density areas
    • Add nearby locations functionality
    • Implement relevance scoring for search results
    • Add cache statistics tracking
    • Add admin permission checks for cache management endpoints
  4. Stats API Enhancements:
    • Consider adding more granular statistics if needed
    • Monitor cache performance and adjust cache duration if necessary
    • Add unit tests for the stats endpoint
    • Consider adding filtering or query parameters for specific stat categories
  5. Testing: Add comprehensive unit tests for all endpoints
  6. Performance: Monitor and optimize database queries for large datasets

Current Development State

  • Django backend with comprehensive stats API
  • Stats endpoint fully functional at /api/v1/stats/
  • Server running on port 8000
  • All middleware issues resolved

Testing Results

  • RideModel API Directory Structure: ✅ Successfully reorganized to match nested URL organization
    • Directory Structure: Files moved from backend/apps/api/v1/ride_models/ to backend/apps/api/v1/rides/manufacturers/
    • Import Paths: Updated to use new nested structure
    • System Check: ✅ Django system check passes with no issues
    • URL Routing: ✅ All URLs properly resolved with new nested structure
  • RideModel API Reorganization: ✅ Successfully reorganized and tested
    • New Endpoints: All RideModel functionality now under /api/v1/rides/manufacturers/<manufacturerSlug>/
    • List Endpoint: /api/v1/rides/manufacturers/bolliger-mabillard/ - ✅ Returns 2 models for B&M
    • Detail Endpoint: /api/v1/rides/manufacturers/bolliger-mabillard/dive-coaster/ - ✅ Returns comprehensive model details
    • Manufacturer Filtering: /api/v1/rides/manufacturers/rocky-mountain-construction/ - ✅ Returns 1 model for RMC
    • Slug System: ✅ Updated to manufacturer-scoped slugs (e.g., dive-coaster, i-box-track)
    • Database: ✅ All 6 existing models updated with new slug format
    • Integration: /api/v1/rides/search/ride-models/ - ✅ Available for ride creation
    • Old Endpoint: /api/v1/ride-models/ - ✅ Returns 404 as expected
    • Ride Integration: RideModel selection available via ride_model_id in ride serializers
  • Cloudflare Images Integration: ✅ Fully implemented and functional
    • Models: RidePhoto and ParkPhoto using CloudflareImagesField
    • API Serializers: Enhanced with image_url and image_variants fields
    • Upload Endpoints: POST /api/v1/rides/{id}/photos/ and POST /api/v1/parks/{id}/photos/
    • Schema Generation: Fixed and working properly
    • Database Migrations: Applied successfully
    • Documentation: Comprehensive with upload examples and transformations
  • Stats Endpoint: /api/v1/stats/ - ✅ Working correctly
  • Maps Endpoints: All implemented and ready for testing
    • /api/v1/maps/locations/ - ✅ Implemented with filtering, bounds, search
    • /api/v1/maps/locations/<type>/<id>/ - ✅ Implemented with detailed location info
    • /api/v1/maps/search/ - ✅ Implemented with text search and pagination
    • /api/v1/maps/bounds/ - ✅ Implemented with geographic bounds filtering
    • /api/v1/maps/stats/ - ✅ Implemented with location statistics
    • /api/v1/maps/cache/ - ✅ Implemented with cache management
  • Response: Returns comprehensive JSON with location data and statistics
  • Performance: Cached responses for optimal performance (5-minute cache)
  • Access: Public endpoints, no authentication required (except photo uploads)
  • Documentation: Full OpenAPI documentation available
  • Celery Integration: ✅ Successfully implemented and tested
    • Configuration: Redis broker configured and working
    • Tasks: Trending content calculation tasks implemented
    • Database: Celery tables created via migrations
    • API Response: "newly_opened" now returns correct structure with "park" and "date_opened" fields
    • Mock Data: Completely removed from all trending endpoints
    • Real Data: All responses now use actual database queries
    • Manual Trigger: POST /api/v1/trending/calculate/ endpoint implemented with admin permissions
    • Task Management: Returns task IDs for monitoring asynchronous calculations

Sample Response

{
    "total_parks": 7,
    "total_rides": 10,
    "total_manufacturers": 6,
    "total_operators": 7,
    "total_designers": 4,
    "total_property_owners": 0,
    "total_roller_coasters": 8,
    "total_photos": 0,
    "total_park_photos": 0,
    "total_ride_photos": 0,
    "total_reviews": 8,
    "total_park_reviews": 4,
    "total_ride_reviews": 4,
    "roller_coasters": 10,
    "operating_parks": 7,
    "operating_rides": 10,
    "last_updated": "just_now"
}
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