e49577eadb
Complete rewrite following the established pattern. Key improvements:
- Removed internal "Crear Plantilla" button and API call
- Added validate prop with required field checks (name, checkType, weight)
- Real-time data sync with parent wizard using useEffect
- Auto-generation of template_code from name (TPL-XXX-1234)
- Added ALL 25 backend fields from research:
* Required: name, checkType, weight
* Basic: templateCode, description, applicableStages
* Check Points: checkPoints (JSON array configuration)
* Scoring: scoringMethod, passThreshold, isRequired, frequencyDays
* Advanced Config (JSONB): parameters, thresholds, scoringCriteria
* Status: isActive, version
* Helper fields: requiresPhoto, criticalControlPoint, notifyOnFail,
responsibleRole, requiredEquipment, acceptanceCriteria, specificConditions
- Organized fields using AdvancedOptionsSection for progressive disclosure
- Added tooltips for complex fields using existing Tooltip component
- Expanded check_type options (7 types vs original 4)
- Comprehensive validation for required fields only
- Note: API integration removed from wizard step, should be handled by
parent component on wizard completion
🍞 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.