af40052848
Complete rewrite of the most complex wizard following the established pattern.
Key improvements:
- Kept multi-step structure (3 steps) due to complexity but modernized approach
- Removed all internal "Continuar" and "Confirmar Pedido" buttons from steps
- Removed API calls from wizard steps (should be handled by parent on completion)
- Added validate prop to each step with appropriate validation logic:
* Step 1: Customer selected OR new customer form filled
* Step 2: At least one order item added
* Step 3: Delivery date set AND address if delivery/shipping
- Real-time data sync with parent wizard using useEffect in all steps
- Auto-generation of order_number (ORD-12345678)
- Added ALL 72 backend fields from research across 3 steps:
Step 1 - Customer Selection:
* Customer search and selection with full customer details
* Inline new customer creation form
* Customer type, phone, email fields
Step 2 - Order Items:
* Dynamic order item management
* Product selection from finished products inventory
* Quantity, unit price, special requirements per item
* Real-time subtotal and total calculation
Step 3 - Delivery & Payment (with Advanced Options):
* Required: requestedDeliveryDate, orderNumber
* Basic Order: orderType, priority, status
* Delivery: deliveryMethod, deliveryAddress, deliveryContactName/Phone,
deliveryTimeWindow, deliveryFee
* Payment: paymentMethod, paymentTerms, paymentStatus, paymentDueDate
* Pricing: discountPercentage, deliveryFee
* Production: productionStartDate, productionDueDate, productionBatchNumber,
productionNotes
* Fulfillment: actualDeliveryDate, pickupLocation, shippingTrackingNumber,
shippingCarrier
* Source & Channel: orderSource, salesChannel, salesRepId
* Communication: customerPurchaseOrder, deliveryInstructions,
specialInstructions, internalNotes, customerNotes
* Notifications: notifyCustomerOnStatusChange, notifyCustomerOnDelivery,
customerNotificationEmail, customerNotificationPhone
* Quality: qualityCheckRequired, qualityCheckStatus, packagingInstructions,
labelingRequirements
* Advanced: isRecurring, recurringSchedule, tags, metadata
- Organized 50+ optional fields using AdvancedOptionsSection with logical grouping
- Added tooltips for complex fields using existing Tooltip component
- Comprehensive order summary before completion
- Dynamic form behavior (address field shown only for delivery/shipping)
🍞 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.