b22634388d
Backend Changes (services/auth/app/api/onboarding_progress.py): - Expanded ONBOARDING_STEPS to include all 19 frontend steps - Phase 0: user_registered (system) - Phase 1: bakery-type-selection, data-source-choice (discovery) - Phase 2: setup, smart-inventory-setup, product-categorization, initial-stock-entry (core setup & AI path) - Phase 2b: suppliers-setup, inventory-setup, recipes-setup, production-processes (manual path) - Phase 3: quality-setup, team-setup (advanced config) - Phase 4: ml-training, setup-review, completion (finalization) - Updated STEP_DEPENDENCIES with granular requirements - AI path: smart-inventory-setup → product-categorization → initial-stock-entry - Manual path: Independent setup for suppliers, inventory, recipes, processes - Flexible ML training: accepts either AI or manual inventory path - Enhanced ML training validation - Supports both AI-assisted path (sales data) and manual inventory path - More flexible validation logic for multi-path onboarding Frontend Changes (UnifiedOnboardingWizard.tsx): - Fixed auto-complete step name: 'suppliers' → 'suppliers-setup' - All step IDs now match backend ONBOARDING_STEPS exactly - Removed temporary step mapping workarounds Frontend Changes (apiClient.ts): - Fixed tenant ID requirement warnings for onboarding endpoints - Added noTenantEndpoints list for user-level endpoints: - /auth/me/onboarding (tenant created during onboarding) - /auth/me (user profile) - /auth/register, /auth/login - Eliminated false warnings during onboarding flow This makes the onboarding system fully functional with: ✅ Backend validates all 19 onboarding steps ✅ Proper dependency tracking for multi-path onboarding ✅ No more "Invalid step name" errors ✅ No more tenant ID warnings for onboarding ✅ Robust state tracking for complete user journey
🍞 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.