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bakery-ia/docs/archive/DELETION_REFACTORING_SUMMARY.md
2025-11-05 13:34:56 +01:00

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User & Tenant Deletion Refactoring - Executive Summary

Problem Analysis

Critical Issues Found:

  1. Missing Endpoints: Several endpoints referenced by auth service didn't exist:

    • DELETE /api/v1/tenants/{tenant_id} - Called but not implemented
    • DELETE /api/v1/tenants/user/{user_id}/memberships - Called but not implemented
    • POST /api/v1/tenants/{tenant_id}/transfer-ownership - Called but not implemented
  2. Incomplete Cascade Deletion: Only 3 of 12+ services had deletion logic

    • Training service (partial)
    • Forecasting service (partial)
    • Notification service (partial)
    • Orders, Inventory, Recipes, Production, Sales, Suppliers, POS, External, Alert Processor
  3. No Admin Verification: Tenant service had no check for other admins before deletion

  4. No Distributed Transaction Handling: Partial failures would leave inconsistent state

  5. Poor API Organization: Deletion logic scattered without clear contracts

Solution Architecture

5-Phase Refactoring Strategy:

Phase 1: Tenant Service Core COMPLETED

Created missing core endpoints with proper permissions and validation:

New Endpoints:

  1. DELETE /api/v1/tenants/{tenant_id}

    • Verifies owner/admin permissions
    • Checks for other admins
    • Cascades to subscriptions and memberships
    • Publishes deletion events
    • File: tenants.py:102-153
  2. DELETE /api/v1/tenants/user/{user_id}/memberships

  3. POST /api/v1/tenants/{tenant_id}/transfer-ownership

  4. GET /api/v1/tenants/{tenant_id}/admins

New Service Methods:

  • delete_tenant() - Comprehensive tenant deletion with error tracking
  • delete_user_memberships() - Clean up user from all tenants
  • transfer_tenant_ownership() - Atomic ownership transfer
  • get_tenant_admins() - Query all tenant admins
  • File: tenant_service.py:741-1075

Phase 2: Standardized Service Deletion 🔄 IN PROGRESS

Created Shared Infrastructure:

  1. Base Classes (tenant_deletion.py):
    • BaseTenantDataDeletionService - Abstract base for all services
    • TenantDataDeletionResult - Standardized result format
    • create_tenant_deletion_endpoint_handler() - Factory for API handlers
    • create_tenant_deletion_preview_handler() - Preview endpoint factory

Implementation Pattern:

Each service implements:
1. DeletionService (extends BaseTenantDataDeletionService)
   - get_tenant_data_preview() - Preview counts
   - delete_tenant_data() - Actual deletion
2. Two API endpoints:
   - DELETE /tenant/{tenant_id} - Perform deletion
   - GET /tenant/{tenant_id}/deletion-preview - Preview

Completed Services:

Pending Services (8):

  • Recipes, Production, Sales, Suppliers, POS, External, Forecasting*, Training*, Notification*
  • (*) Already have partial deletion logic, needs refactoring to standard pattern

Phase 3: Orchestration & Saga Pattern PENDING

Goals:

  1. Create DeletionOrchestrator in auth service
  2. Service registry for all deletion endpoints
  3. Saga pattern for distributed transactions
  4. Compensation/rollback logic
  5. Job status tracking with database model

Database Schema:

deletion_jobs
├─ id (UUID, PK)
├─ tenant_id (UUID)
├─ status (pending/in_progress/completed/failed/rolled_back)
├─ services_completed (JSONB)
├─ services_failed (JSONB)
├─ total_items_deleted (INTEGER)
└─ timestamps

Phase 4: Enhanced Features PENDING

Planned Enhancements:

  1. Soft Delete - 30-day retention before permanent deletion
  2. Audit Logging - Comprehensive deletion audit trail
  3. Deletion Reports - Downloadable impact analysis
  4. Async Progress - Real-time status updates via WebSocket
  5. Email Notifications - Completion notifications

Phase 5: Testing & Monitoring PENDING

Testing Strategy:

  • Unit tests for each deletion service
  • Integration tests for cross-service deletion
  • E2E tests for full tenant deletion flow
  • Performance tests with production-like data

Monitoring:

  • tenant_deletion_duration_seconds - Deletion time
  • tenant_deletion_items_deleted - Items per service
  • tenant_deletion_errors_total - Failure count
  • Alerts for slow/failed deletions

Recommendations

Immediate Actions (Week 1-2):

  1. Complete Phase 2 for remaining services using the template

  2. Test existing implementations

    • Orders service deletion
    • Tenant service deletion
    • Verify CASCADE deletes work correctly

Short-term (Week 3-4):

  1. Implement Orchestration Layer

    • Create DeletionOrchestrator in auth service
    • Add service registry
    • Implement basic saga pattern
  2. Add Job Tracking

    • Create deletion_jobs table
    • Add status check endpoint
    • Update existing deletion endpoints

Medium-term (Week 5-6):

  1. Enhanced Features

    • Soft delete with retention
    • Comprehensive audit logging
    • Deletion preview aggregation
  2. Testing & Documentation

    • Write unit/integration tests
    • Document deletion API
    • Create runbooks for operations

Long-term (Month 2+):

  1. Advanced Features
    • Real-time progress updates
    • Automated rollback on failure
    • Performance optimization
    • GDPR compliance reporting

API Organization Improvements

Before:

  • Deletion logic scattered across services
  • No standard response format
  • Incomplete error handling
  • No preview/dry-run capability
  • Manual inter-service calls

After:

  • Standardized deletion pattern across all services
  • Consistent TenantDataDeletionResult format
  • Comprehensive error tracking per service
  • Preview endpoints for impact analysis
  • Orchestrated deletion with saga pattern (pending)

Owner Deletion Logic

Current Flow (Improved):

1. User requests account deletion
   ↓
2. Auth service checks user's owned tenants
   ↓
3. For each owned tenant:
   a. Query tenant service for other admins
   b. If other admins exist:
      → Transfer ownership to first admin
      → Remove user membership
   c. If no other admins:
      → Call DeletionOrchestrator
      → Delete tenant across all services
      → Delete tenant in tenant service
   ↓
4. Delete user memberships (all tenants)
   ↓
5. Delete user data (forecasting, training, notifications)
   ↓
6. Delete user account

Key Improvements:

  • Admin check before tenant deletion
  • Automatic ownership transfer when other admins exist
  • Complete cascade to all services (when Phase 2 complete)
  • Transactional safety with saga pattern (when Phase 3 complete)
  • Audit trail for compliance

Files Created/Modified

New Files (6):

  1. /services/shared/services/tenant_deletion.py - Base classes (187 lines)
  2. /services/tenant/app/services/messaging.py - Deletion event (updated)
  3. /services/orders/app/services/tenant_deletion_service.py - Orders impl (132 lines)
  4. /services/inventory/app/services/tenant_deletion_service.py - Inventory template (110 lines)
  5. /TENANT_DELETION_IMPLEMENTATION_GUIDE.md - Comprehensive guide (400+ lines)
  6. /DELETION_REFACTORING_SUMMARY.md - This document

Modified Files (4):

  1. /services/tenant/app/services/tenant_service.py - Added 335 lines
  2. /services/tenant/app/api/tenants.py - Added 52 lines
  3. /services/tenant/app/api/tenant_members.py - Added 154 lines
  4. /services/orders/app/api/orders.py - Added 93 lines

Total New Code: ~1,500 lines Total Modified Code: ~634 lines

Testing Plan

Phase 1 Testing :

  • Create tenant with owner
  • Delete tenant (owner permission)
  • Delete user memberships
  • Transfer ownership
  • Get tenant admins
  • Integration test with auth service

Phase 2 Testing 🔄:

  • Orders service deletion (manual testing needed)
  • Inventory service deletion
  • All other services (pending implementation)

Phase 3 Testing :

  • Orchestrated deletion across multiple services
  • Saga rollback on partial failure
  • Job status tracking
  • Performance with large datasets

Security & Compliance

Authorization:

  • Tenant deletion: Owner/Admin or internal service only
  • User membership deletion: Internal service only
  • Ownership transfer: Owner or internal service only
  • Admin listing: Any authenticated user (for that tenant)

Audit Trail:

  • Structured logging for all deletion operations
  • Error tracking per service
  • Deletion summary with counts
  • Pending: Audit log database table

GDPR Compliance:

  • User data deletion across all services
  • Right to erasure implementation
  • Pending: Retention period support (30 days)
  • Pending: Deletion certification/report

Performance Considerations

Current Implementation:

  • Sequential deletion per entity type within each service
  • Parallel execution possible across services (with orchestrator)
  • Database CASCADE handles related records automatically

Optimizations Needed:

  • Batch deletes for large datasets
  • Background job processing for large tenants
  • Progress tracking for long-running deletions
  • Timeout handling (current: no timeout protection)

Expected Performance:

  • Small tenant (<1000 records): <5 seconds
  • Medium tenant (<10,000 records): 10-30 seconds
  • Large tenant (>10,000 records): 1-5 minutes
  • Need async job queue for very large tenants

Rollback Strategy

Current:

  • Database transactions provide rollback within each service
  • No cross-service rollback yet

Planned (Phase 3):

  • Saga compensation transactions
  • Service-level "undo" operations
  • Deletion job status allows retry
  • Manual recovery procedures documented

Next Steps Priority

Priority Task Effort Impact
P0 Complete Phase 2 for critical services (Recipes, Production, Sales) 2 days High
P0 Test existing implementations (Orders, Tenant) 1 day High
P1 Implement Phase 3 orchestration 3 days High
P1 Add deletion job tracking 2 days Medium
P2 Soft delete with retention 2 days Medium
P2 Comprehensive audit logging 1 day Medium
P3 Complete remaining services 3 days Low
P3 Advanced features (WebSocket, email) 3 days Low

Total Estimated Effort: 17 days for complete implementation

Conclusion

The refactoring establishes a solid foundation for tenant and user deletion with:

  1. Complete API Coverage - All referenced endpoints now exist
  2. Standardized Pattern - Consistent implementation across services
  3. Proper Authorization - Permission checks at every level
  4. Error Resilience - Comprehensive error tracking and handling
  5. Scalability - Architecture supports orchestration and saga pattern
  6. Maintainability - Clear documentation and implementation guide

Current Status: 35% Complete

  • Phase 1: 100%
  • Phase 2: 🔄 25%
  • Phase 3: 0%
  • Phase 4: 0%
  • Phase 5: 0%

The implementation can proceed incrementally, with each completed service immediately improving the system's data cleanup capabilities.