Resolved Plot Display and 404 Errors in Flask Application

• Day: 2024-04-19
• Time: 06:45 to 07:55
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Flask, Debugging, Machine Learning, Plotting, Javascript, Python

Description

Session Goal

The primary goal of this session was to debug and optimize plot display issues within a machine learning application, specifically focusing on the integration of plot updates post-model retraining and addressing 404 errors in Flask endpoints.

Key Activities

• Debugging Plot Display: Addressed issues with plot display by ensuring correct handling of run_id, saving prediction data, and updating plot data endpoints.
• Integration of Plot Updates: Modified backend (Python Flask) and frontend (JavaScript) components to ensure plots update correctly after model retraining.
• File Handling in Flask: Ensured consistent file path handling and implemented recursive file search using Python’s os module.
• Enhanced Logging: Added detailed logging in JavaScript and Python functions to track execution flow and assist in debugging.
• Debugging 404 Errors: Investigated and resolved 404 errors in Flask endpoints using enhanced logging and error handling techniques.

Achievements

• Successfully integrated plot updates following model retraining.
• Resolved 404 errors by improving request handling and logging in Flask endpoints.
• Enhanced debugging capabilities with improved logging in both JavaScript and Python components.

Pending Tasks

• Further optimization of file handling and logging mechanisms in Flask endpoints to prevent future errors.
• Continued monitoring of plot updates to ensure consistent performance.

Evidence

• source_file=2024-04-19.sessions.jsonl, line_number=1, event_count=0, session_id=f4f3211868139b89391cce04342d30cb416be001bba701ab46118b4b995ad83e
• event_ids: []