📅 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.