877e0b6b477241fab4eff072be53ab53f4c9d357
Following Jobs-To-Be-Done analysis, break down complex forms into multi-step wizards to reduce cognitive load for non-technical bakery owners. **Core Infrastructure:** - Add reusable WizardModal component with progress tracking, validation, and navigation - Multi-step progress bar with clickable previous steps - Per-step validation with clear error messaging - Back/Next/Complete navigation with loading states - Optional step skipping support - Responsive modal design (sm/md/lg/xl/2xl sizes) **Recipe Wizard (4 steps):** - Step 1 (Product): Name, category, finished product, cuisine type, difficulty, description - Step 2 (Ingredients): Dynamic ingredient list with add/remove, quantities, units, optional flags - Step 3 (Production): Times (prep/cook/rest), yield, batch sizes, temperature, humidity, special flags - Step 4 (Review): Instructions, storage, nutritional info, allergens, final summary **Supplier Wizard (3 steps):** - Step 1 (Basic): Name, type, status, contact person, email, phone, tax ID, registration - Step 2 (Delivery): Payment terms, lead time, minimum order, delivery schedule, address - Step 3 (Review): Certifications, sustainability practices, notes, summary **Benefits:** - Reduces form overwhelm from 8 sections to 4 sequential steps (recipes) and 3 steps (suppliers) - Clear progress indication and next actions - Validation feedback per step instead of at end - Summary review before final submission - Matches mental model of "configure then review" workflow Files: - WizardModal: Reusable wizard infrastructure - RecipeWizard: 4-step recipe creation (Product → Ingredients → Production → Review) - SupplierWizard: 3-step supplier creation (Basic → Delivery → Review) Related to Phase 1 (ConfigurationProgressWidget) for post-onboarding guidance.
🍞 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.
Description
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