Enhanced Python Import Path & Debugging Workflow

2 min read

📅 2025-11-19 — Session: Enhanced Python Import Path & Debugging Workflow

🕒 22:25–22:55
🏷️ Labels: Python, Debugging, Metadata, Pipeline, TEI
📂 Project: Dev

Session Goal

The session aimed to address Python import path issues and debug both frontend and backend components of a software application.

Key Activities

  • Dynamic Import Path Configuration: Implemented a code snippet to adjust Python import paths using pathlib and sys for projects with separate directories for main scripts and shared modules.
  • Fixing ModuleNotFoundError: Resolved ModuleNotFoundError by modifying sys.path and ensuring correct import of shared modules.
  • UI Diagnosis and Backend Bug Fixing: Developed a systematic approach to diagnose UI issues and fix backend bugs, including a checklist for UI testing.
  • Debugging 404 Errors: Provided a diagnosis and potential fixes for 404 errors in frontend API calls, with a test plan for validation.
  • Enhancing TEI Ingestion Logic: Proposed enhancements to TEI ingestion logic for better metadata management, saving paper-level JSON files.
  • Refined Pipeline Architecture: Outlined a structured approach for managing metadata within a pipeline, integrating with Chroma vector stores.

Achievements

  • Successfully configured Python import paths and resolved import errors.
  • Developed a comprehensive debugging plan for UI and backend issues.
  • Enhanced metadata ingestion logic and pipeline architecture.

Pending Tasks

  • Further testing of the enhanced TEI ingestion logic and pipeline architecture to ensure full integration with existing systems.

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