9002ea33ec
Complete JTBD implementation with 4 advanced features to reduce friction and accelerate configuration for non-technical bakery owners. **1. Recipe Templates Library:** - Add RecipeTemplateSelector modal with searchable template gallery - Pre-built templates: Baguette, Pan de Molde, Medialunas, Facturas, Bizcochuelo, Galletas - Smart ingredient matching between templates and user's inventory - Category filtering (Panes, Facturas, Tortas, Galletitas) - One-click template loading with pre-filled wizard data - "Create from scratch" option for custom recipes - Integrated as pre-wizard step in RecipeWizardModal **2. Bulk Supplier CSV Import:** - Add BulkSupplierImportModal with CSV upload & parsing - Downloadable CSV template with examples - Live validation with error detection - Preview table showing valid/invalid rows - Multi-column support (15+ fields: name, type, email, phone, payment terms, address, etc.) - Batch import with progress tracking - Success/error notifications **3. Configuration Recovery (Auto-save):** - Add useWizardDraft hook with localStorage persistence - Auto-save wizard progress every 30 seconds - 7-day draft expiration (configurable TTL) - DraftRecoveryPrompt component for restore/discard choice - Shows "saved X time ago" with human-friendly formatting - Prevents data loss from accidental browser closes **4. Milestone Notifications (Feature Unlocks):** - Add Toast notification system (ToastNotification, ToastContainer, useToast hook) - Support for success, error, info, and milestone toast types - Animated slide-in/slide-out transitions - Auto-dismiss with configurable duration - useFeatureUnlocks hook to track when features are unlocked - Visual feedback for configuration milestones **Benefits:** - Templates: Reduce recipe creation time from 10+ min to <2 min - Bulk Import: Add 50+ suppliers in seconds vs hours - Auto-save: Zero data loss from accidental exits - Notifications: Clear feedback on progress and unlocked capabilities Files: - RecipeTemplateSelector: Template library UI - BulkSupplierImportModal: CSV import system - useWizardDraft + DraftRecoveryPrompt: Auto-save infrastructure - Toast system + useToast + useFeatureUnlocks: Notification framework Part of 3-phase JTBD implementation (Phase 1: Progress Widget, Phase 2: Wizards, Phase 3: Advanced Features).
🍞 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.