5dacb939c9
Complete i18n implementation for internal service reasoning: - Update AIInsight interface to include reasoning_data field - Integrate useReasoningTranslation hook in AI Insights page - Add translation keys for safety stock, price forecaster, and optimization Translation coverage (EN/ES/EU): - Safety Stock: statistical z-score, advanced variability, fixed percentage, errors - Price Forecaster: price change predictions, volatility alerts, buying recommendations - Optimization: EOQ calculations, MOQ/max constraints, tier pricing Benefits: - AI insights now display in user's preferred language - Consistent with PO/Batch reasoning translation pattern - Structured parameters enable rich, contextualized translations - Falls back gracefully to description field if translation missing Implementation: - frontend/src/api/services/aiInsights.ts: Add reasoning_data to interface - frontend/src/pages/app/analytics/ai-insights/AIInsightsPage.tsx: Translate insights - frontend/src/locales/*/reasoning.json: Add safetyStock, priceForecaster, optimization keys This completes the full i18n implementation for the bakery AI 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.