📅 2024-04-14 — Session: Refactored and enhanced API retraining endpoint
🕒 18:00–18:20
🏷️ Labels: API, Retraining, Logging, Python, Machine Learning
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to improve the /api/retrain endpoint by enhancing its structure, maintainability, and debuggability.
Key Activities
- Refactoring: Analyzed and suggested improvements for the
/api/retrainendpoint to enhance clarity and maintainability by structuring the code into functions and improving documentation and error handling. - File Management: Planned a cleanup strategy for file management using scheduled scripts or integrated cleanup functions.
- Pipeline Integration: Discussed the integration of a model and its preprocessor into a single pipeline for consistency and simplicity, including a code example for modifying the retraining endpoint.
- Code Inlining: Reflected on the practice of inlining code within a single function for the API retraining endpoint, weighing the pros and cons.
- Logging Implementation: Implemented detailed logging in the API endpoint using print statements to enhance transparency and debugging.
Achievements
- Completed the refactoring and enhancement of the API retraining endpoint with improved code structure and logging.
Pending Tasks
- Implement the planned file management cleanup strategy.