Menus
Get All Active Menu of Store
Retrieve all active menus for a specific store, providing essential menu information for operational and customer-facing applications.
GET
This endpoint returns all active menus associated with a specific store, providing essential information for menu management and customer-facing applications.
This endpoint focuses on active menus only, making it ideal for customer-facing applications and operational systems that need to display currently available menu options.
Path Parameters
The unique identifier of the store to retrieve active menus for
Active Menu Criteria
Active Menu Criteria
Real-Time Data: This endpoint provides real-time menu status information, ensuring customers and operational systems have access to current menu availability.
Performance Optimization: Since this endpoint filters for active menus only, it typically returns faster responses and is optimized for frequent access by customer-facing applications.
Use Cases
Common Use Cases for Active Menus
Common Use Cases for Active Menus
Response Format
Expected Response Structure
Expected Response Structure
Menu Object Array
- Array of active menu objects
- Each menu contains complete configuration data
- Operating hours included for each menu
- Item counts and statistics provided
- Menu identification and naming
- Current status and configuration
- Operating schedule details
- Item and category statistics
- Creation and modification dates
- User information for audit trails
- External system integration IDs
- Deletion and archival status
Integration Patterns
Common Integration Approaches
Common Integration Approaches
Real-Time Menu Display
- Fetch active menus for immediate display
- Update menu information based on current time
- Filter by operating hours for current availability
- Refresh data periodically for accuracy
- Cache active menu data for performance
- Implement cache invalidation on menu updates
- Balance data freshness with response speed
- Consider user location and time zone factors
- Handle cases where no active menus exist
- Provide fallback options for system failures
- Implement graceful degradation for partial failures
- Log errors for operational monitoring
- Minimize request frequency for high-traffic applications
- Use appropriate data compression
- Implement efficient data parsing
- Monitor response times and optimize accordingly
Business Logic
Active Menu Business Rules
Active Menu Business Rules
Error Scenarios
Common Error Handling
Common Error Handling
No Active MenusStore Not FoundAccess DeniedService Unavailable
Performance Considerations
Performance and Scalability
Performance and Scalability
Response Time Optimization
- Active menu filtering reduces response size
- Database indexing on menu status improves query speed
- Caching strategies reduce server load
- Efficient data serialization minimizes transfer time
- High-frequency access patterns expected
- Multiple concurrent requests from customer applications
- Peak usage during meal times and promotional periods
- Geographic distribution of requests
- Database connection pooling for concurrent access
- Memory management for large menu datasets
- Network bandwidth optimization for mobile clients
- CPU resource allocation for real-time processing
- Response time monitoring for performance tracking
- Error rate tracking for service reliability
- Usage pattern analysis for capacity planning
- Alert systems for performance degradation
Data Consistency
Data Consistency and Reliability
Data Consistency and Reliability
Real-Time Updates
- Menu status changes are immediately reflected
- Operating hour modifications take effect instantly
- Item availability updates are propagated quickly
- System-wide synchronization ensures consistency
- Appropriate cache invalidation on menu changes
- Consistent data across multiple application instances
- Time-based cache expiration for data freshness
- Geographic cache distribution for global applications
- Database replication ensures data availability
- Event-driven updates maintain system consistency
- Conflict resolution for concurrent modifications
- Audit trails for change tracking and rollback
- Data validation ensures menu integrity
- Automated testing verifies API reliability
- Monitoring systems track data quality metrics
- Error detection and correction mechanisms