caff49761d26a96987d2feffc35ba983afe52318
Root Cause: The training process was hanging at the first progress update due to a nested database session issue. The main trainer created a session and repositories, then called prophet_manager.train_bakery_model() which created another nested session with an advisory lock. This caused a deadlock where: 1. Outer session had uncommitted UPDATE on model_training_logs 2. Inner session tried to acquire advisory lock 3. Neither could proceed, causing training to hang indefinitely Changes Made: 1. prophet_manager.py: - Added optional 'session' parameter to train_bakery_model() - Refactored to use parent session if provided, otherwise create new one - Prevents nested session creation during training 2. hybrid_trainer.py: - Added optional 'session' parameter to train_hybrid_model() - Passes session to prophet_manager to maintain single session context 3. trainer.py: - Updated _train_single_product() to accept and pass session - Updated _train_all_models_enhanced() to accept and pass session - Pass db_session from main training context to all training methods - Added explicit db_session.flush() after critical progress update - This ensures updates are visible before acquiring locks Impact: - Eliminates nested session deadlocks - Training now proceeds past initial progress update - Maintains single database session context throughout training - Prevents database transaction conflicts Related Issues: - Fixes training hang during onboarding process - Not directly related to audit_metadata changes but exposed by them 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
🍞 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.
Description
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