Resolved Key Errors and 404 Issues in Flask App

• Day: 2024-04-13
• Time: 17:10 to 18:40
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Flask, API, Debugging, Javascript, Model Management

Description

Session Goal

The session aimed to troubleshoot and resolve various errors in a Flask web application, focusing on KeyErrors in prediction logic and 404 Not Found errors in API endpoints.

Key Activities

• Troubleshooting KeyError: Addressed a missing ‘label’ column in the data processing pipeline by enhancing data preparation and debugging techniques.
• Resolving 404 Errors: Implemented solutions for 404 Not Found errors in Flask API, including route verification, blueprint registration, and AJAX request correction.
• Model Retrieval and Dropdown Population: Updated the get_models() function and JavaScript code to dynamically populate dropdown menus with model filenames.
• Flask Endpoint Integration: Modified the /predict endpoint to integrate data preprocessing and model prediction logic.
• Git Management: Organized Git commits for clarity, ensuring logical grouping based on changes made.
• Debugging API and JavaScript Integration: Verified API responses, checked JSON formats, and debugged client-side handling.

Achievements

• Successfully resolved KeyErrors and 404 errors, improving the robustness of the Flask application.
• Enhanced model management and dropdown functionality in the web interface.
• Improved commit organization in Git for better version control.

Pending Tasks

• Further testing of the /retrain endpoint to ensure no 404 errors persist.
• Continuous refinement of data processing and prediction logic for accuracy.

Evidence

• source_file=2024-04-13.sessions.jsonl, line_number=1, event_count=0, session_id=ed3891f4d5dcc131a2e0e8fa3ab8d6b8f6191079a081023254ddee7ec27fdcc8
• event_ids: []