context-engineering

# Context File for [COMPANY] E-Commerce Platform

## Project Overview
- **Company**: GreenCart Technologies
- **Industry**: Retail/E-Commerce
- **Project**: Backend API for new product recommendation engine
- **Programming Language**: Python
- **Frameworks**: Django, Django REST Framework
- **Database**: PostgreSQL

## Key Requirements
- Real-time product recommendations based on user behavior
- Integration with existing inventory and user profile systems
- RESTful API endpoints for frontend consumption
- Scalable architecture to handle high traffic

## Relevant Code Snippets
```python
# Example recommendation algorithm snippet
class ProductRecommender:
    def __init__(self, user_id):
        self.user_id = user_id
        self.user_profile = self.get_user_profile()

    def get_recommendations(self, limit=5):
        # Implementation here
        pass
```

## Dependencies and Libraries
- Django==4.2.0
- djangorestframework==3.14.0
- psycopg2-binary==2.9.6
- scikit-learn==1.2.2
- numpy==1.24.3

## Coding Standards
- Follow PEP 8 style guide
- Use type hints for all functions
- Implement proper error handling
- Write comprehensive docstrings
- Include unit tests for all critical functions