📅 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 structure for better clarity, maintainability, and functionality.
Key Activities:
- Code Refactoring: Reviewed the current structure of the
/api/retrain
endpoint and suggested refactoring into structured functions with enhanced documentation and error handling. - File Management Strategy: Planned a cleanup strategy for file management using automated scripts to manage stored files effectively.
- Pipeline Integration: Integrated the model and preprocessor into a single pipeline to enhance consistency and simplify deployment.
- Code Inlining: Discussed inlining code within a single function for the API retraining endpoint, weighing pros and cons.
- Logging Implementation: Implemented detailed logging in the Flask API endpoint to improve transparency and debugging capabilities.
Achievements:
- Established a clear plan for refactoring the
/api/retrain
endpoint. - Developed a strategy for file management cleanup.
- Successfully integrated the model and preprocessor into a pipeline.
- Enhanced the API’s logging for better debugging and validation.
Pending Tasks:
- Complete the refactoring of the
/api/retrain
endpoint as planned. - Implement the file management cleanup strategy.
- Monitor the effectiveness of the new logging system.