# Statistics Rollup System ## Overview The Statistics Rollup system provides comprehensive tracking and aggregation of statistics across different levels of the theme park hierarchy: areas, parks, and operators. It ensures data consistency and provides real-time insights through automatic updates and scheduled refreshes. ## Components ### 1. Database Structure #### Park Areas Table Statistics ```sql ALTER TABLE park_areas ADD ( ride_count integer DEFAULT 0, coaster_count integer DEFAULT 0, flat_ride_count integer DEFAULT 0, water_ride_count integer DEFAULT 0, daily_capacity integer NULL, peak_wait_time integer NULL, average_rating decimal(3,2) NULL, total_rides_operated integer DEFAULT 0, retired_rides_count integer DEFAULT 0, last_new_ride_added date NULL ); ``` #### Parks Table Statistics ```sql ALTER TABLE parks ADD ( total_areas integer DEFAULT 0, operating_areas integer DEFAULT 0, closed_areas integer DEFAULT 0, total_rides integer DEFAULT 0, total_coasters integer DEFAULT 0, total_flat_rides integer DEFAULT 0, total_water_rides integer DEFAULT 0, total_daily_capacity integer DEFAULT 0, average_wait_time integer NULL, average_rating decimal(3,2) NULL, total_rides_operated integer DEFAULT 0, total_rides_retired integer DEFAULT 0, last_expansion_date date NULL, last_major_update date NULL, utilization_rate decimal(5,2) NULL, peak_daily_attendance integer NULL, guest_satisfaction decimal(3,2) NULL ); ``` ### 2. Traits #### HasAreaStatistics Located in `app/Traits/HasAreaStatistics.php` - Ride count management - Visitor statistics - Historical tracking - Formatted displays #### HasParkStatistics Located in `app/Traits/HasParkStatistics.php` - Area statistics rollup - Ride statistics aggregation - Performance metrics - Historical data tracking ### 3. StatisticsRollupService Located in `app/Services/StatisticsRollupService.php` Purpose: - Coordinate statistics updates - Maintain data consistency - Handle events - Schedule refreshes Features: 1. Hierarchical Updates - Bottom-up propagation - Transaction safety - Batch processing - Event handling 2. Update Types - Area statistics - Park rollups - Operator aggregates - System-wide refresh ## Implementation Details ### Update Flow 1. Area Update ```php public function updateAreaStatistics(ParkArea $area): void { DB::transaction(function () use ($area) { $this->updateParkStatistics($area->park); }); } ``` 2. Park Rollup ```php public function updateParkStatistics(Park $park): void { DB::transaction(function () use ($park) { $park->updateAreaCounts(); $park->updateRideStatistics(); $park->updateVisitorStats(); // Update operator if exists }); } ``` 3. Operator Aggregation ```php public function updateOperatorStatistics(Operator $operator): void { DB::transaction(function () use ($operator) { // Update park counts // Update ride totals // Update performance metrics }); } ``` ## Event Handling ### 1. Ride Events - Addition tracking - Retirement processing - Statistics updates ### 2. Park Events - Expansion recording - Major updates - Performance tracking ### 3. Area Events - Opening/closing - Status changes - Capacity updates ## Performance Optimization ### 1. Database Design - Efficient indexes - Compound keys - Query optimization ### 2. Processing Strategy - Batch updates - Chunked processing - Transaction management ### 3. Caching - [ ] Implement statistics caching - [ ] Add cache invalidation - [ ] Set up cache warming ## Future Enhancements 1. [ ] Add trend analysis 2. [ ] Implement forecasting 3. [ ] Add historical graphs 4. [ ] Create export tools 5. [ ] Add benchmarking 6. [ ] Implement alerts 7. [ ] Add reporting 8. [ ] Create dashboards ## Integration Points 1. Areas System - Statistics collection - Event handling - Data validation 2. Parks System - Rollup processing - Performance tracking - Historical data 3. Operators System - Aggregation logic - Performance metrics - Trend analysis ## Security Considerations 1. Data Validation - Range checks - Type validation - Relationship verification 2. Access Control - Update permissions - View restrictions - Audit logging ## Testing Strategy 1. Unit Tests - [ ] Calculation accuracy - [ ] Event handling - [ ] Data validation 2. Integration Tests - [ ] Update propagation - [ ] Transaction handling - [ ] Event processing 3. Performance Tests - [ ] Large dataset handling - [ ] Concurrent updates - [ ] Batch processing ## Monitoring 1. Performance Metrics - [ ] Update timing - [ ] Query performance - [ ] Cache hit rates 2. Error Tracking - [ ] Failed updates - [ ] Data inconsistencies - [ ] System alerts 3. Usage Analytics - [ ] Update frequency - [ ] Data access patterns - [ ] User interactions