Refactored Flask API and Debugged Import Errors

2 min read

📅 2024-04-19 — Session: Refactored Flask API and Debugged Import Errors

🕒 04:40–06:30
🏷️ Labels: Flask, API, Debugging, Javascript, Model Management
📂 Project: Dev

Session Goal

The session aimed to enhance a Flask application’s API by refining the /predict endpoint, resolving import errors, and improving the user interface for model management.

Key Activities

  • Modified the preprocessing function to handle both dictionary and DataFrame inputs, ensuring consistent feature processing in a Flask application.
  • Revised the /predict endpoint to dynamically load the latest model and preprocessor, improving error handling and data processing.
  • Addressed ModuleNotFoundError and import issues by adjusting Python paths and import statements in the Flask application.
  • Implemented a filtering mechanism to exclude preprocessor files from model lists in API responses.
  • Enhanced the user interface by simplifying model information display and adding an auto-refresh feature for model tables using JavaScript.
  • Debugged the /predict endpoint by adding logging to trace data flow and identify issues.

Achievements

  • Successfully refactored the Flask API to support dynamic model loading and improved error handling.
  • Resolved several import errors, ensuring the Flask application runs smoothly.
  • Improved the user interface for model management with simplified displays and auto-refresh capabilities.

Pending Tasks

  • Further testing of the /predict endpoint to ensure robustness in various scenarios.
  • Continuous monitoring of import paths to prevent future errors.

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