# Statistics Caching System ## Overview The Statistics Caching system provides efficient caching and retrieval of statistics across all levels of the theme park hierarchy. It implements a robust caching strategy with automatic invalidation, cache warming, and performance monitoring. ## Components ### 1. Cache Structure #### Key Prefixes ```php protected const AREA_PREFIX = 'stats:area:'; protected const PARK_PREFIX = 'stats:park:'; protected const OPERATOR_PREFIX = 'stats:operator:'; ``` #### Cache TTL ```php protected const CACHE_TTL = 86400; // 24 hours ``` ### 2. StatisticsCacheService Located in `app/Services/StatisticsCacheService.php` Purpose: - Manage statistics caching - Handle cache invalidation - Provide cache warming - Monitor cache performance Features: 1. Caching Operations - Area statistics - Park rollups - Operator aggregates - Batch processing 2. Cache Management - Automatic invalidation - Selective updates - Cache warming - Error handling ## Implementation Details ### Area Statistics Cache ```php [ 'ride_distribution' => [ 'coasters' => 5, 'flat_rides' => 12, 'water_rides' => 3, ], 'daily_capacity' => '25,000 riders/day', 'rating' => '★★★★☆ (4.2)', 'wait_time' => '45 minutes', 'historical' => [ 'total_operated' => 25, 'retired_count' => 5, 'last_addition' => 'Mar 2024', ], 'updated_at' => '2024-02-23 19:30:00', ] ``` ### Park Statistics Cache ```php [ 'area_distribution' => [ 'total' => 8, 'operating' => 7, 'closed' => 1, ], 'ride_distribution' => [ 'coasters' => 12, 'flat_rides' => 35, 'water_rides' => 8, ], 'daily_capacity' => '75,000 riders/day', 'rating' => '★★★★★ (4.8)', 'wait_time' => '35 minutes', 'historical' => [...], 'performance' => [ 'utilization' => '85%', 'peak_attendance' => '65,000', 'satisfaction' => '4.5/5.0', ], 'updated_at' => '2024-02-23 19:30:00', ] ``` ### Operator Statistics Cache ```php [ 'park_count' => 5, 'operating_parks' => 4, 'closed_parks' => 1, 'total_rides' => 275, 'total_coasters' => 45, 'average_rating' => 4.6, 'total_capacity' => 350000, 'updated_at' => '2024-02-23 19:30:00', ] ``` ## Cache Management ### 1. Invalidation Strategy - Automatic invalidation on updates - Cascading invalidation - Selective cache clearing - Error handling ### 2. Cache Warming ```php public function warmCaches(): void { // Process areas in chunks ParkArea::chunk(100, function ($areas) { foreach ($areas as $area) { $this->cacheAreaStatistics($area); } }); // Process parks in chunks Park::chunk(100, function ($parks) {...}); // Process operators in chunks Operator::chunk(100, function ($operators) {...}); } ``` ### 3. Error Handling ```php try { Cache::put($key, $data, static::CACHE_TTL); Log::info("Cached statistics for {$type} {$id}"); } catch (\Exception $e) { Log::error("Failed to cache statistics: {$e->getMessage()}"); } ``` ## Performance Optimization ### 1. Cache Design - Efficient key structure - Optimized data format - Minimal cache churn - Batch operations ### 2. Memory Usage - Compact data storage - Selective caching - TTL management - Cache size monitoring ### 3. Invalidation Rules - Smart invalidation - Dependency tracking - Cascade control - Version management ## Future Enhancements 1. [ ] Add Redis support 2. [ ] Implement cache tags 3. [ ] Add cache versioning 4. [ ] Create cache analytics 5. [ ] Add cache preloading 6. [ ] Implement cache pruning 7. [ ] Add cache monitoring 8. [ ] Create cache dashboard ## Integration Points 1. Statistics System - Data aggregation - Cache updates - Performance metrics 2. Event System - Cache invalidation - Update triggers - Error handling 3. Monitoring System - Cache hit rates - Performance tracking - Error logging ## Security Considerations 1. Data Protection - Cache encryption - Access control - Data validation 2. Error Handling - Graceful degradation - Fallback mechanisms - Error logging ## Testing Strategy 1. Unit Tests - [ ] Cache operations - [ ] Invalidation rules - [ ] Error handling 2. Integration Tests - [ ] Cache warming - [ ] Update propagation - [ ] Performance tests 3. Load Tests - [ ] Cache hit rates - [ ] Memory usage - [ ] Concurrent access ## Monitoring 1. Performance Metrics - [ ] Cache hit rates - [ ] Response times - [ ] Memory usage 2. Error Tracking - [ ] Failed operations - [ ] Invalid data - [ ] System alerts 3. Usage Analytics - [ ] Access patterns - [ ] Data freshness - [ ] Cache efficiency