fa43fddcbd
Complete rewrite following the established pattern from Recipe, Customer,
and Supplier wizards. Key improvements:
- Reduced from 3 steps to 1 streamlined comprehensive step
- Removed all duplicate "Continuar" buttons
- Added validate prop with required field checks (name, unitOfMeasure, productType)
- Real-time data sync with parent wizard using useEffect
- Auto-generation of SKU from name (SKU-XXX-1234)
- Added ALL 44 backend fields from research:
* Required: name, unitOfMeasure, productType
* Basic: sku, barcode, ingredient/product category, brand, description
* Pricing: averageCost, lastPurchasePrice, standardCost, sellingPrice, minimumPrice
* Inventory Management: lowStockThreshold, reorderPoint, reorderQuantity,
maxStockLevel, leadTimeDays
* Product Info: packageSize, shelfLifeDays, displayLifeHours,
storageTempMin/Max
* Storage & Handling: storageInstructions, handlingInstructions, isPerishable
* Supplier Info: preferredSupplierId, supplierProductCode
* Quality & Compliance: allergenInfo, nutritionalInfo, certifications
* Physical Properties: weight, volume, dimensions, color
* Status & Tracking: isActive, trackByLot, trackByExpiry, allowNegativeStock
* Metadata: notes, tags, customFields
- Organized fields using AdvancedOptionsSection for progressive disclosure
- Added tooltips for complex fields using existing Tooltip component
- Dynamic category selection based on product type
- Comprehensive validation for required fields only
🍞 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.