Refactored and enhanced API retraining endpoint

• Day: 2024-04-14
• Time: 18:00 to 18:20
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: API, Retraining, Logging, Python, Machine Learning

Description

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]]/retrain endpoint 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.

Evidence

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• event_ids: []