ed7db4d4f2
Demo Seed Scripts: - Updated seed_demo_purchase_orders.py to use structured reasoning_data * Imports create_po_reasoning_low_stock and create_po_reasoning_supplier_contract * Generates reasoning_data with product names, stock levels, and consequences * Removed deprecated reasoning/consequence TEXT fields - Updated seed_demo_batches.py to use structured reasoning_data * Imports create_batch_reasoning_forecast_demand and create_batch_reasoning_regular_schedule * Generates intelligent reasoning based on batch priority and AI assistance * Adds reasoning_data to all production batches Backend Services - Error Code Implementation: - Updated safety_stock_calculator.py with error codes * Replaced "Lead time or demand std dev is zero or negative" with ERROR:LEAD_TIME_INVALID * Replaced "Insufficient historical demand data" with ERROR:INSUFFICIENT_DATA - Updated replenishment_planning_service.py with error codes * Replaced "Insufficient data for safety stock calculation" with ERROR:INSUFFICIENT_DATA * Frontend can now translate error codes using i18n Demo data will now display with translatable reasoning in EN/ES/EU languages. Backend services return error codes that frontend translates for user's language.
🍞 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.