170caa9a0e
This commit implements the first phase of the post-onboarding configuration
system based on JTBD analysis:
**1. Fixed Quality Standards Step Missing Next Button**
- Updated StepNavigation logic to enable Next button for optional steps
- Changed: disabled={(!canContinue && !canSkip) || isLoading}
- Quality step now always sets canContinue: true (since it's optional)
- Updated progress indicator to show "2+ recommended (optional)"
- Location: StepNavigation.tsx, QualitySetupStep.tsx
**2. Implemented Configuration Progress Widget**
A comprehensive dashboard widget that guides post-onboarding configuration:
Features:
- Real-time progress tracking (% complete calculation)
- Section-by-section status (Inventory, Suppliers, Recipes, Quality)
- Visual indicators: checkmarks for complete, circles for incomplete
- Minimum requirements vs recommended amounts
- Next action prompts ("Add at least 3 ingredients")
- Feature unlock notifications ("Purchase Orders unlocked!")
- Clickable sections that navigate to configuration pages
- Auto-hides when 100% configured
Location: ConfigurationProgressWidget.tsx (340 lines)
Integration: DashboardPage.tsx
**Configuration Logic:**
- Inventory: 3 minimum, 10 recommended
- Suppliers: 1 minimum, 3 recommended
- Recipes: 1 minimum, 3 recommended
- Quality: 0 minimum (optional), 2 recommended
**UX Improvements:**
- Clear orientation ("Complete Your Bakery Setup")
- Progress bar with percentage
- Next step call-to-action
- Visual hierarchy (gradient borders, icons, colors)
- Responsive design
- Loading states
**Technical Implementation:**
- React hooks: useMemo for calculations
- Real-time data fetching from inventory, suppliers, recipes, quality APIs
- Automatic progress recalculation on data changes
- Navigation integration with react-router
- i18n support for all text
**Files Created:**
- ConfigurationProgressWidget.tsx
**Files Modified:**
- StepNavigation.tsx - Fixed optional step button logic
- QualitySetupStep.tsx - Always allow continuing (optional step)
- DashboardPage.tsx - Added configuration widget
**Pending (Next Phases):**
- Phase 2: Recipe & Supplier Wizard Modals (multi-step forms)
- Phase 3: Recipe templates, bulk operations, configuration recovery
Build: ✅ Success (21.17s)
All TypeScript validations passed.
🍞 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.