75916adfee
CHANGES:
1. **Make suppliers-setup unconditional:**
- Removed isConditional: true and condition
- Suppliers step now ALWAYS appears in onboarding flow
- No longer depends on stockEntryCompleted flag
2. **Make ml-training unconditional:**
- Removed isConditional: true and condition
- ML training step now ALWAYS appears in onboarding flow
- No longer depends on aiAnalysisComplete flag
3. **Completely rewrote CompletionStep content:**
- Changed title: "¡Felicidades! Tu Sistema Está Listo"
- Shows what user HAS ACCOMPLISHED during onboarding:
✓ Información de Panadería
✓ Inventario con IA
✓ Proveedores Agregados
✓ Recetas Configuradas
✓ Calidad Establecida
✓ Equipo Invitado
✓ Modelo IA Entrenado
- REMOVED misleading "One More Thing" section that asked users
to configure things they JUST configured
- Changed next steps to celebrate accomplishments and guide to dashboard
- Updated buttons: "Ir al Panel de Control →" (single clear CTA)
FIXES:
- User frustration: suppliers and ML training steps were hidden
- User confusion: completion message didn't make sense - asking to
configure suppliers, inventory, recipes after they just did it
ONBOARDING FLOW NOW:
1. bakery-type-selection
2. setup
3. smart-inventory-setup
4. product-categorization
5. initial-stock-entry
6. suppliers-setup ✓ ALWAYS SHOWS
7. recipes-setup (conditional on bakery type)
8. production-processes (conditional on bakery type)
9. quality-setup
10. team-setup
11. ml-training ✓ ALWAYS SHOWS
12. setup-review
13. completion (celebrates accomplishments!)
Files Modified:
- frontend/src/components/domain/onboarding/UnifiedOnboardingWizard.tsx
- frontend/src/components/domain/onboarding/steps/CompletionStep.tsx
🍞 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.