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PLANNING.md
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# Project Planning and Code Guidelines
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## General Code Guidelines
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* **Modular Design:** Use Object-Oriented Programming (OOP) where possible to separate concerns and promote code reuse.
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* **File Size Limit:** No single Python file should exceed **600 lines** to improve readability and maintainability.
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* **Commenting:**
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* Use clear, concise comments to explain complex logic.
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* Include function and class docstrings where appropriate.
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* Use in-line comments sparingly and only when the logic is not immediately obvious.
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* **Code Structure:**
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* Follow the Model-View-Controller (MVC) pattern where applicable.
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* Group related classes and functions into separate modules for clarity.
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* **Error Handling:** Implement robust error handling with meaningful messages and fallback behavior where possible.
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* **Readability:**
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* Use meaningful variable and function names.
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* Avoid deeply nested loops and conditionals where possible.
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## API Design Guidelines
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* **RESTful Endpoints:** Use RESTful conventions for all API endpoints.
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* **Status Codes:** Return appropriate HTTP status codes (e.g., 200 for success, 404 for not found, 500 for server error).
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* **Error Responses:** Provide consistent and descriptive error messages.
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* **Data Validation:** Validate all incoming data to prevent unexpected behavior and security issues.
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## File Organization
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* **Static Files:** Store images in the `static/images/` directory.
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* **Product Data:** Store product metadata in `products.json`.
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* **Configuration Files:** Use a dedicated `config/` directory for environment-specific settings.
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## Security Guidelines
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* **No Hardcoded Credentials:** Avoid hardcoding sensitive information like passwords or API keys.
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* **Input Sanitization:** Validate and sanitize all user input to prevent injection attacks.
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* **Minimal Permissions:** Run the application with the least required privileges.
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## Future Considerations
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* **Scalability:** Plan for the potential migration to a database if the product catalog grows.
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* **API Rate Limiting:** Consider adding rate limiting for public APIs.
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* **Monitoring and Logging:** Implement basic logging for audit trails and error diagnosis.
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* **Deployment Automation:** Use Docker or other containerization for easy deployment and scaling.
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