680b97f6de
IMPLEMENTATION: Updated ItemTypeSelector to use react-i18next translations
following the pattern documented in WIZARD_I18N_IMPLEMENTATION_GUIDE.md
CHANGES:
- Added useTranslation('wizards') hook
- Replaced hardcoded ITEM_TYPES array with dynamic translation-based generation
- Updated all strings to use t() translation function
- Maintained all styling and functionality
TRANSLATIONS USED:
- itemTypeSelector.title → "What would you like to add?" / "¿Qué te gustaría agregar?" / "Zer gehitu nahi duzu?"
- itemTypeSelector.description → Localized descriptions
- itemTypeSelector.types.*.title → All 9 item type titles
- itemTypeSelector.types.*.description → All 9 item type descriptions
- itemTypeSelector.helpText → Footer help text
- Badge translations with defaultValue fallbacks
BENEFITS:
✅ Component now fully multilingual (en/es/eu)
✅ Automatically updates when user changes language
✅ Fallback values provided for safety
✅ Zero functionality changes - only translation layer added
EXAMPLE:
When language is ES: Shows "Inventario", "Agregar ingredientes o productos..."
When language is EN: Shows "Inventory", "Add ingredients or products..."
When language is EU: Shows "Inbentarioa", "Gehitu osagaiak edo produktuak..."
This demonstrates the pattern for all other wizard components to follow.
Remaining wizards (InventoryWizard, QualityTemplateWizard, etc.) can be
updated using the same approach.
🍞 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.