000e352ef9
This commit implements the requested enhancements for the ingredient quick-add system and batch management: **1. Duplicate Detection** - Real-time Levenshtein distance-based similarity checking - Shows warning with top 3 similar ingredients (70%+ similarity) - Prevents accidental duplicate creation - Location: QuickAddIngredientModal.tsx **2. Smart Category Suggestions** - Auto-populates category based on ingredient name patterns - Supports Spanish and English ingredient names - Shows visual indicator when category is AI-suggested - Pattern matching for: Baking, Dairy, Fruits, Vegetables, Meat, Seafood, Spices - Location: ingredientHelpers.ts **3. Quick Templates** - 10 pre-configured common bakery ingredients - One-click template application - Templates include: Flour, Butter, Sugar, Eggs, Yeast, Milk, Chocolate, Vanilla, Salt, Cream - Each template has sensible defaults (shelf life, refrigeration requirements) - Location: QuickAddIngredientModal.tsx **4. Batch Creation Mode** - BatchAddIngredientsModal component for adding multiple ingredients at once - Table-based interface for efficient data entry - "Load from Templates" quick action - Duplicate detection within batch - Partial success handling (some ingredients succeed, some fail) - Location: BatchAddIngredientsModal.tsx - Integration: UploadSalesDataStep.tsx (2 buttons: "Add One" / "Add Multiple") **5. Dashboard Alert for Incomplete Ingredients** - IncompleteIngredientsAlert component on dashboard - Queries ingredients with needs_review metadata flag - Shows count badge and first 5 incomplete ingredients - "Complete Information" button links to inventory page - Only shows when incomplete ingredients exist - Location: IncompleteIngredientsAlert.tsx - Integration: DashboardPage.tsx **New Files Created:** - ingredientHelpers.ts - Utilities for duplicate detection, smart suggestions, templates - BatchAddIngredientsModal.tsx - Batch ingredient creation component - IncompleteIngredientsAlert.tsx - Dashboard alert component **Files Modified:** - QuickAddIngredientModal.tsx - Added duplicate detection, smart suggestions, templates - UploadSalesDataStep.tsx - Integrated batch creation modal - DashboardPage.tsx - Added incomplete ingredients alert **Technical Highlights:** - Levenshtein distance algorithm for fuzzy name matching - Pattern-based category suggestions (supports 100+ ingredient patterns) - Metadata tracking (needs_review, created_context) - Real-time validation and error handling - Responsive UI with animations - Consistent with existing design system All features built and tested successfully. Build time: 21.29s
🍞 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.