3b66bb869a
Major improvements: 1. Fixed 'a.map is not a function' error (line 387: result.templates) 2. Removed duplicate Next buttons - now using WizardModal's validate prop 3. Added ALL missing required fields (version, difficulty_level, status defaults) 4. Added comprehensive advanced options section with ALL optional fields: - Recipe code/SKU, version, difficulty level - Cook time, rest time, total time - Batch sizing (min/max, multiplier) - Production environment (temp, humidity) - Seasonal/signature item flags - Descriptions, notes, storage instructions - Allergens, dietary tags - Target margin percentage 5. Integrated AdvancedOptionsSection component for progressive disclosure 6. Added tooltips for complex fields using existing Tooltip component 7. Proper form validation on each step 8. Real-time data synchronization with useEffect 9. English labels (per project standards) 10. All fields map correctly to backend RecipeCreate schema Technical changes: - Created reusable AdvancedOptionsSection component - Steps now validate using WizardModal's validate prop - No internal "Continuar" buttons - cleaner UX - Quality Templates step marked as optional (isOptional: true) - Ingredients step validates all required data - Seasonal month selectors conditional on isSeasonal checkbox This implementation follows UX best practices for progressive disclosure and reduces cognitive load while maintaining access to all backend fields.
🍞 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.