961bd2328f
This commit addresses all 15 issues identified in the orchestration scheduler analysis: HIGH PRIORITY FIXES: 1. ✅ Database update methods already in orchestrator service (not in saga) 2. ✅ Add null check for training_client before using it 3. ✅ Fix cron schedule config from "0 5" to "30 5" (5:30 AM) 4. ✅ Standardize on timezone-aware datetime (datetime.now(timezone.utc)) 5. ✅ Implement saga compensation logic with actual deletion calls 6. ✅ Extract actual counts from saga results (no placeholders) MEDIUM PRIORITY FIXES: 7. ✅ Add circuit breakers for inventory/suppliers/recipes clients 8. ✅ Pass circuit breakers to saga and use them in all service calls 9. ✅ Add calling_service_name to AI Insights client 10. ✅ Add database indexes on (tenant_id, started_at) and (status, started_at) 11. ✅ Handle empty shared data gracefully (fail if all 3 fetches fail) LOW PRIORITY IMPROVEMENTS: 12. ✅ Make notification/validation failures more visible with explicit logging 13. ✅ Track AI insights status in orchestration_runs table 14. ✅ Improve run number generation atomicity using MAX() approach 15. ✅ Optimize tenant ID handling (consistent UUID usage) CHANGES: - services/orchestrator/app/core/config.py: Fix cron schedule to 30 5 * * * - services/orchestrator/app/models/orchestration_run.py: Add AI insights & saga tracking columns - services/orchestrator/app/repositories/orchestration_run_repository.py: Atomic run number generation - services/orchestrator/app/services/orchestration_saga.py: Circuit breakers, compensation, error handling - services/orchestrator/app/services/orchestrator_service.py: Circuit breakers, actual counts, AI tracking - services/orchestrator/migrations/versions/20251105_add_ai_insights_tracking.py: New migration All issues resolved. No backwards compatibility. No TODOs. Production-ready.
🍞 Bakery IA - Multi-Service Architecture
Welcome to Bakery IA, an advanced AI-powered platform for bakery management and optimization. This project implements a microservices architecture with multiple interconnected services to provide comprehensive bakery management solutions.
🚀 Quick Start
Prerequisites
- Docker Desktop with Kubernetes enabled
- Docker Compose
- Node.js (for frontend development)
Running the Application
-
Clone the repository:
git clone <repository-url> cd bakery-ia -
Set up environment variables:
cp .env.example .env # Edit .env with your specific configuration -
Run with Docker Compose:
docker-compose up --build -
Or run with Kubernetes (Docker Desktop):
# Enable Kubernetes in Docker Desktop # Run the setup script ./scripts/setup-kubernetes-dev.sh
🏗️ Architecture Overview
The project follows a microservices architecture with the following main components:
- Frontend: React-based dashboard for user interaction
- Gateway: API gateway handling authentication and routing
- Services: Multiple microservices handling different business domains
- Infrastructure: Redis, RabbitMQ, PostgreSQL databases
🐳 Kubernetes Infrastructure
🛠️ Services
The project includes multiple services:
- Auth Service: Authentication and authorization
- Tenant Service: Multi-tenancy management
- Sales Service: Sales processing
- External Service: Integration with external systems
- Training Service: AI model training
- Forecasting Service: Demand forecasting
- Notification Service: Notifications and alerts
- Inventory Service: Inventory management
- Recipes Service: Recipe management
- Suppliers Service: Supplier management
- POS Service: Point of sale
- Orders Service: Order management
- Production Service: Production planning
- Alert Processor: Background alert processing
📊 Monitoring
The system includes comprehensive monitoring with:
- Prometheus for metrics collection
- Grafana for visualization
- ELK stack for logging (planned)
🚀 Production Deployment
For production deployment on clouding.io with Kubernetes:
- Set up your clouding.io Kubernetes cluster
- Update image references to your container registry
- Configure production-specific values
- Deploy using the production kustomization:
kubectl apply -k infrastructure/kubernetes/environments/production/
🤝 Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Submit a pull request
📄 License
This project is licensed under the MIT License.