thrillwiki_laravel/memory-bank/features/LocationSystem.md

Location System

Overview

The Location System provides comprehensive location management for parks, areas, and other entities through polymorphic relationships. It includes geocoding, map integration, and location-based search capabilities.

Components

1. Database Structure

Locations Table

CREATE TABLE locations (
    id bigint PRIMARY KEY,
    locatable_type varchar(255),
    locatable_id bigint,
    address varchar(255) NULL,
    city varchar(255),
    state varchar(255) NULL,
    country varchar(255),
    postal_code varchar(255) NULL,
    latitude decimal(10,8),
    longitude decimal(11,8),
    elevation decimal(8,2) NULL,
    timezone varchar(255) NULL,
    metadata json NULL,
    is_approximate boolean DEFAULT false,
    source varchar(255) NULL,
    geocoding_data json NULL,
    geocoded_at timestamp NULL,
    created_at timestamp,
    updated_at timestamp,
    
    INDEX idx_coordinates (latitude, longitude),
    INDEX idx_location (country, state, city),
    INDEX idx_postal (postal_code)
);

2. Models

Location Model

• Polymorphic relationships
• Geocoding integration
• Coordinate handling
• Distance calculations

HasLocation Trait

• Location relationship
• Coordinate accessors
• Distance methods
• Map integration

3. Services

GeocodeService

• Address lookup
• Coordinate validation
• Batch processing
• Cache management

LocationSearchService

• Distance-based search
• Boundary queries
• Clustering support
• Performance optimization

4. Components

LocationSelector

• Map integration
• Address search
• Coordinate picker
• Validation feedback

LocationDisplay

• Map rendering
• Marker clustering
• Info windows
• Interactive controls

Implementation Details

1. Model Structure

class Location extends Model
{
    protected $fillable = [
        'address',
        'city',
        'state',
        'country',
        'postal_code',
        'latitude',
        'longitude',
        'elevation',
        'timezone',
        'metadata',
        'is_approximate',
        'source',
        'geocoding_data',
        'geocoded_at',
    ];

    protected $casts = [
        'latitude' => 'decimal:8',
        'longitude' => 'decimal:8',
        'elevation' => 'decimal:2',
        'metadata' => 'array',
        'geocoding_data' => 'array',
        'geocoded_at' => 'datetime',
        'is_approximate' => 'boolean',
    ];
}

2. Trait Implementation

trait HasLocation
{
    public function location()
    {
        return $this->morphOne(Location::class, 'locatable');
    }

    public function getCoordinatesAttribute()
    {
        return [
            'lat' => $this->location?->latitude,
            'lng' => $this->location?->longitude,
        ];
    }
}

Integration Points

1. Parks System

• Location assignment
• Map display
• Area boundaries
• Distance calculations

2. Search System

• Location-based filtering
• Distance sorting
• Boundary queries
• Clustering support

3. API Integration

• Geocoding services
• Map providers
• Data validation
• Error handling

Performance Considerations

1. Database Design

• Efficient indexes
• Coordinate precision
• Query optimization
• Cache strategy

2. Geocoding

• Request limiting
• Cache management
• Batch processing
• Error handling

3. Map Integration

• Lazy loading
• Marker clustering
• Viewport management
• Memory optimization

Future Enhancements

1. Add route planning
2. Implement geofencing
3. Add location sharing
4. Create heatmaps
5. Add offline support
6. Implement navigation
7. Add location history
8. Create location alerts

Security Considerations

1. Data Protection

• Coordinate validation
• Input sanitization
• Access control
• Audit logging

2. API Security

• Rate limiting
• Token management
• Error handling
• Request validation

Testing Strategy

1. Unit Tests

• Coordinate validation
• Distance calculations
• Geocoding integration
• Model relationships

2. Integration Tests

• Map integration
• Search functionality
• API communication
• Cache management

3. Performance Tests

• Large datasets
• Clustering efficiency
• Query optimization
• Memory usage

Monitoring

1. Performance Metrics

• Query timing
• API response times
• Cache hit rates
• Memory usage

2. Error Tracking

• Geocoding failures
• API errors
• Invalid coordinates
• Cache misses

3. Usage Analytics

• Search patterns
• Popular locations
• API usage
• User interactions