thrillwiki_laravel/memory-bank/features/StatisticsCaching.md

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

protected const AREA_PREFIX = 'stats:area:';
protected const PARK_PREFIX = 'stats:park:';
protected const OPERATOR_PREFIX = 'stats:operator:';

Cache TTL

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

[
    '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

[
    '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

[
    '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

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

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