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

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

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

public function updateAreaStatistics(ParkArea $area): void
{
    DB::transaction(function () use ($area) {
        $this->updateParkStatistics($area->park);
    });
}

2. Park Rollup

public function updateParkStatistics(Park $park): void
{
    DB::transaction(function () use ($park) {
        $park->updateAreaCounts();
        $park->updateRideStatistics();
        $park->updateVisitorStats();
        // Update operator if exists
    });
}

3. Operator Aggregation

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