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🎯 PROBLEM SOLVED: Users were blocked when needing ingredients that weren't in inventory during: - Recipe creation (couldn't add missing ingredients) - Supplier setup (couldn't associate missing products) This broke the user flow and forced context switching, resulting in lost progress and frustration. JTBD Analysis revealed users don't remember ALL ingredients upfront— they discover missing items while building recipes and configuring suppliers. ✨ SOLUTION: Inline Quick-Add Pattern Never block the user—allow adding missing data inline without losing context. 📦 NEW COMPONENT: QuickAddIngredientModal (438 lines) Lightweight modal for fast ingredient creation with minimal friction: **Minimum Required Fields** (3 fields to unblock): - Name (required) - Category (required) - Unit of Measure (required) **Optional Fields** (collapsible section): - Stock Quantity, Cost Per Unit, Shelf Life Days - Low Stock Threshold, Reorder Point - Refrigeration/Freezing/Seasonal checkboxes - Notes **Smart Features**: - Context-aware messaging (recipe vs supplier) - Auto-closes and auto-selects created ingredient - Tracks creation context (metadata for incomplete items) - Beautiful animations (fadeIn, slideUp, slideDown) - Full validation with error messages - Loading states with spinner 🔧 RECIPES STEP INTEGRATION: - Added "+ Add New Ingredient" option in BOTH dropdowns: * Finished Product selector * Recipe ingredient selectors - On selection → Modal opens - On create → Ingredient auto-selected in form - Handles both finished products (index -1) and ingredients (index N) 🔧 SUPPLIERS STEP INTEGRATION: - Added "+ Add New Product" button in product picker - Below existing product checkboxes - On create → Product auto-selected for supplier - Price entry form appears immediately 📊 UX FLOW COMPARISON: **BEFORE (Blocked)**: ``` User adding recipe → Needs "French Butter" → Not in list → STUCK 🚫 → Must exit recipe form → Go to inventory → Add ingredient → Return to recipes → Lose form context ``` **AFTER (Inline)**: ``` User adding recipe → Needs "French Butter" → Click "+ Add New Ingredient" ⚡ → Modal: Fill 3 fields (10 seconds) → Click "Add and Use in Recipe" → ✅ Created + Auto-selected → Continue recipe seamlessly ``` 🎨 UI/UX FEATURES: - Smooth modal animations - Semi-transparent backdrop (context visible) - Auto-focus on name field - Collapsible optional fields - Info box: "Complete details later in inventory management" - Context-specific CTAs ("Add and Use in Recipe" vs "Add and Associate") - Error handling with icons - Loading states - Cancel button 💾 DATA INTEGRITY: - Tracks creation context in metadata - Marks items as potentially incomplete (needs_review flag) - Future: Dashboard alert for incomplete items - Smart duplicate detection (future enhancement) 📁 FILES: - QuickAddIngredientModal.tsx: NEW (438 lines) - RecipesSetupStep.tsx: +50 lines (modal integration) - SupplierProductManager.tsx: +29 lines (modal integration) Build: ✅ Success (21.10s) Pattern: Follows best practices for inline creation UX: Zero context loss, minimal friction, instant gratification
🍞 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.