thrillwiki_laravel/memory-bank/features/StatisticsRollup.md

# 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