fa0802c9f2b4bdfa0ae8037820dcccafbfdd9bee
MAJOR FIX: Dashboard now shows actual business data instead of mock values
The Bug:
--------
Dashboard insights were displaying hardcoded values:
- Savings: Always showed "€124 this week"
- Deliveries: Always showed "0 arriving today"
- Not reflecting actual business activity
Root Cause:
-----------
Line 468-472 in dashboard.py had hardcoded mock savings data:
```python
savings_data = {
"weekly_savings": 124,
"trend_percentage": 12
}
```
Deliveries data wasn't being fetched from any service.
The Fix:
--------
1. **Real Savings Calculation:**
- Fetches last 7 days of purchase orders
- Sums up actual savings from price optimization
- Uses po.optimization_data.savings field
- Calculates: weekly_savings from PO optimization savings
- Result: Shows €X based on actual cost optimizations
2. **Real Deliveries Data:**
- Fetches pending purchase orders from procurement service
- Counts POs with expected_delivery_date == today
- Result: Shows actual number of deliveries arriving today
3. **Data Flow:**
```
procurement_client.get_pending_purchase_orders()
→ Filter by created_at (last 7 days) for savings
→ Filter by expected_delivery_date (today) for deliveries
→ Calculate totals
→ Pass to dashboard_service.calculate_insights()
```
Benefits:
---------
✅ Savings widget shows real optimization results
✅ Deliveries widget shows actual incoming deliveries
✅ Inventory widget already uses real stock data
✅ Waste widget already uses real sustainability data
✅ Dashboard reflects actual business activity
Note: Trend percentage for savings still defaults to 12% as it
requires historical comparison data (future enhancement).
🍞 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.
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