Use Case Documentation
Overview
This document provides comprehensive documentation of business logic and use case implementations for the Order Management module. All use cases follow Clean Architecture principles and implement the CQRS pattern with proper permission validation and error handling.
Architecture Overview
Design Patterns
Clean Architecture: Separation of concerns with clear dependency inversion
CQRS (Command Query Responsibility Segregation): Separate models for read and write operations
Saga Pattern: Complex business transactions with compensation logic
Domain-Driven Design: Rich domain models with business rules enforcement
Event-Driven Architecture: Asynchronous processing through domain events
Core Components
Use Cases: Business logic implementation with single responsibility
Sagas: Multi-step business processes with rollback capabilities
Handlers: CQRS command and query handlers
Steps: Atomic operations within sagas
Validators: Permission and business rule validation
Events: Domain events for system integration
Read Use Cases
Get Order Use Case
Purpose: Retrieve a single order by ID with permission validation and scope-based access control.
Implementation:
Business Rules:
Permission Validation: User must have READ_ORDER permission
Scope Enforcement: OWN scope restricts access to user's assigned orders only
Data Privacy: Orders not assigned to user are hidden in OWN scope
Error Handling: Proper logging and exception management
Audit Trail: All access attempts are logged for security
Permission Scopes:
OWN: Access only orders where user is assigned as specialist
TEAM: Access orders within user's team
BUSINESS: Access all orders within the business tenant
ADMIN: Full administrative access
Get Paged Orders Use Case
Purpose: Retrieve paginated list of orders with advanced filtering and permission-based scope restrictions.
Implementation:
Business Rules:
Automatic Scope Filtering: OWN scope automatically filters by user's member ID
Flexible Pagination: Configurable page size and sorting options
Advanced Filtering: Support for date ranges, statuses, customer filters
Performance Optimization: Database indexes optimize common query patterns
Consistent Results: Stable pagination with consistent ordering
Filtering Capabilities:
Date Range: Filter orders by creation date or appointment dates
Status Filter: Multiple order statuses with array support
Customer Filter: Filter by specific customer ID
Member Filter: Filter by assigned specialist members
Text Search: Search across order content and notes
Write Use Cases (Sagas)
Create Order Saga
Purpose: Create a new order with comprehensive validation, attendee management, and rollback capabilities.
Implementation:
Saga Steps:
1. Order Validation Step
2. Add Attendees Step
3. Create Order Step
Business Rules:
Validation First: Comprehensive validation before any data changes
Atomic Operations: Each step is atomic with compensation capabilities
Conflict Prevention: Specialist availability validation prevents double booking
Customer Management: Automatic customer creation and validation
Event Publishing: Domain events for system integration
Rollback Support: Full compensation for failed transactions
Update Order Saga
Purpose: Update existing order with validation, change tracking, and event publishing.
Implementation:
Update Step Implementation:
Business Rules:
Change Validation: Strict validation of what can be changed and when
Status Transition Rules: Predefined valid status transitions
Time Constraints: Cannot modify past appointments
Permission Checks: User must have appropriate permissions for changes
Audit Trail: Complete tracking of changes with actor information
Event Publishing: Change events for system integration
Delete Order Saga
Purpose: Soft delete order with dependency checking and cleanup coordination.
Implementation:
Delete Step Implementation:
Business Rules:
Soft Deletion: Orders are marked as deleted, not physically removed
Dependency Checking: Cannot delete orders with active dependencies
Payment Protection: Cannot delete orders with completed payments
Status Restrictions: Cannot delete completed or in-progress orders
Cleanup Coordination: Automatic cleanup of related resources
Audit Preservation: Historical data is preserved for compliance
Service Status Management Use Cases
Change Order Service Status Saga
Purpose: Update individual service status within an order with proper validation and event publishing.
Implementation:
Business Rules:
Status Transition Validation: Only valid transitions are allowed
Permission Requirements: User must have service update permissions
Atomic Updates: Service status changes are atomic operations
Event Publishing: Status changes trigger system-wide events
Audit Trail: All status changes are logged with actor and reason
Permission Validation
Order Permission Validator
Purpose: Centralized permission validation logic for order operations with scope-based access control.
Implementation:
Error Handling Strategies
Exception Hierarchy
Error Recovery Strategies
Validation Errors: Return detailed validation messages to user
Conflict Errors: Suggest alternative time slots or specialists
Permission Errors: Log security events and return generic access denied
Not Found Errors: Return 404 with safe error message
System Errors: Log full details, return generic error to user
Event Publishing
Domain Events
Order Events
Service Events
Event Handlers
Performance Considerations
Optimization Strategies
Database Indexes: Optimized queries with compound indexes
Caching: Multi-level caching with intelligent invalidation
Pagination: Efficient pagination for large datasets
Async Processing: Non-critical operations handled asynchronously
Connection Pooling: Optimized database connection management
Monitoring Metrics
Use Case Execution Time: Track performance of business operations
Permission Validation Time: Monitor permission check performance
Database Query Performance: Track slow queries and optimization opportunities
Cache Hit Rates: Monitor cache effectiveness
Error Rates: Track business rule violations and system errors
Scalability Patterns
CQRS Separation: Read and write models can scale independently
Event Sourcing: Complete audit trail with replay capabilities
Saga Pattern: Complex workflows with compensation logic
Microservice Ready: Clean boundaries for service extraction
Database Sharding: Tenant-based data partitioning support
Integration Patterns
External Service Integration
Payment Services: Payment processing and validation
Notification Services: Email, SMS, and push notifications
Calendar Services: Calendar integration for appointments
Analytics Services: Business intelligence and reporting
Audit Services: Compliance and audit trail management
Internal Module Integration
Customer Module: Customer creation and validation
Service Module: Service availability and configuration
Member Module: Specialist assignment and availability
Business Module: Business rules and configuration
Permission Module: Role-based access control
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