be8cb20b18
This commit removes the last hardcoded English text from reasoning fields across all backend services, completing the i18n implementation. Changes by service: Safety Stock Calculator (safety_stock_calculator.py): - CALC:STATISTICAL_Z_SCORE - Statistical calculation with Z-score - CALC:ADVANCED_VARIABILITY - Advanced formula with demand and lead time variability - CALC:FIXED_PERCENTAGE - Fixed percentage of lead time demand - All calculation methods now use structured codes with pipe-separated parameters Price Forecaster (price_forecaster.py): - PRICE_FORECAST:DECREASE_EXPECTED - Price expected to decrease - PRICE_FORECAST:INCREASE_EXPECTED - Price expected to increase - PRICE_FORECAST:HIGH_VOLATILITY - High price volatility detected - PRICE_FORECAST:BELOW_AVERAGE - Current price below average (buy opportunity) - PRICE_FORECAST:STABLE - Price stable, normal schedule - All forecasts include relevant parameters (change_pct, days, etc.) Optimization Utils (shared/utils/optimization.py): - EOQ:BASE - Economic Order Quantity base calculation - EOQ:MOQ_APPLIED - Minimum order quantity constraint applied - EOQ:MAX_APPLIED - Maximum order quantity constraint applied - TIER_PRICING:CURRENT_TIER - Current tier pricing - TIER_PRICING:UPGRADED - Upgraded to higher tier for savings - All optimizations include calculation parameters Format: All codes use pattern "CATEGORY:TYPE|param1=value|param2=value" This allows frontend to parse and translate with parameters while maintaining technical accuracy for logging and debugging. Frontend can now translate ALL reasoning codes across the entire system.
🍞 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.