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:

  1. Permission Validation: User must have READ_ORDER permission

  2. Scope Enforcement: OWN scope restricts access to user's assigned orders only

  3. Data Privacy: Orders not assigned to user are hidden in OWN scope

  4. Error Handling: Proper logging and exception management

  5. 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:

  1. Automatic Scope Filtering: OWN scope automatically filters by user's member ID

  2. Flexible Pagination: Configurable page size and sorting options

  3. Advanced Filtering: Support for date ranges, statuses, customer filters

  4. Performance Optimization: Database indexes optimize common query patterns

  5. 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:

  1. Validation First: Comprehensive validation before any data changes

  2. Atomic Operations: Each step is atomic with compensation capabilities

  3. Conflict Prevention: Specialist availability validation prevents double booking

  4. Customer Management: Automatic customer creation and validation

  5. Event Publishing: Domain events for system integration

  6. 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:

  1. Change Validation: Strict validation of what can be changed and when

  2. Status Transition Rules: Predefined valid status transitions

  3. Time Constraints: Cannot modify past appointments

  4. Permission Checks: User must have appropriate permissions for changes

  5. Audit Trail: Complete tracking of changes with actor information

  6. 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:

  1. Soft Deletion: Orders are marked as deleted, not physically removed

  2. Dependency Checking: Cannot delete orders with active dependencies

  3. Payment Protection: Cannot delete orders with completed payments

  4. Status Restrictions: Cannot delete completed or in-progress orders

  5. Cleanup Coordination: Automatic cleanup of related resources

  6. 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:

  1. Status Transition Validation: Only valid transitions are allowed

  2. Permission Requirements: User must have service update permissions

  3. Atomic Updates: Service status changes are atomic operations

  4. Event Publishing: Status changes trigger system-wide events

  5. 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

  1. Validation Errors: Return detailed validation messages to user

  2. Conflict Errors: Suggest alternative time slots or specialists

  3. Permission Errors: Log security events and return generic access denied

  4. Not Found Errors: Return 404 with safe error message

  5. System Errors: Log full details, return generic error to user

Event Publishing

Domain Events

Order Events

Service Events

Event Handlers

Performance Considerations

Optimization Strategies

  1. Database Indexes: Optimized queries with compound indexes

  2. Caching: Multi-level caching with intelligent invalidation

  3. Pagination: Efficient pagination for large datasets

  4. Async Processing: Non-critical operations handled asynchronously

  5. Connection Pooling: Optimized database connection management

Monitoring Metrics

  1. Use Case Execution Time: Track performance of business operations

  2. Permission Validation Time: Monitor permission check performance

  3. Database Query Performance: Track slow queries and optimization opportunities

  4. Cache Hit Rates: Monitor cache effectiveness

  5. Error Rates: Track business rule violations and system errors

Scalability Patterns

  1. CQRS Separation: Read and write models can scale independently

  2. Event Sourcing: Complete audit trail with replay capabilities

  3. Saga Pattern: Complex workflows with compensation logic

  4. Microservice Ready: Clean boundaries for service extraction

  5. Database Sharding: Tenant-based data partitioning support

Integration Patterns

External Service Integration

  1. Payment Services: Payment processing and validation

  2. Notification Services: Email, SMS, and push notifications

  3. Calendar Services: Calendar integration for appointments

  4. Analytics Services: Business intelligence and reporting

  5. Audit Services: Compliance and audit trail management

Internal Module Integration

  1. Customer Module: Customer creation and validation

  2. Service Module: Service availability and configuration

  3. Member Module: Specialist assignment and availability

  4. Business Module: Business rules and configuration

  5. Permission Module: Role-based access control

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