📅 2025-07-10 — Session: Resolved Various Python Errors and Debugged RunManager

🕒 21:10–21:55
🏷️ Labels: Python, Error Handling, Runmanager, Debugging, Streamlit
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to resolve various Python errors and improve the debugging process for the RunManager pipeline.

Key Activities

  • Resolved IsADirectoryError: Addressed an error caused by attempting to open a directory as a file. Provided solutions for handling file downloads correctly.
  • Managed Streamlit Input States: Implemented strategies to manage input states in Streamlit applications, ensuring user input is preserved during reruns.
  • Debugged Metadata Persistence: Diagnosed and solved issues related to missing metadata in the RunManager, ensuring metadata is not overwritten during pipeline execution.
  • Fixed FileNotFoundError: Modified the save_metadata method in the RunManager class to prevent errors when saving metadata files without existing directories.
  • Addressed Critical Path Mismatch: Diagnosed and fixed issues with the meta.json file not being read correctly in the RunManager, leading to pipeline execution errors.
  • Resolved Timestamp Mismatch: Provided fixes for timestamp mismatch issues in the data pipeline, ensuring consistent metadata handling.
  • Compared Query Handling Versions: Analyzed differences between old and new query handling methods, identifying reliance on metadata as a potential failure point.
  • Aligned Modular Pipeline with Monolithic Script: Corrected and aligned the modular pipeline code with the monolithic script, focusing on I/O paths and metadata propagation.
  • Fixed File Handling in Python Script: Addressed errors related to file handling by implementing defensive programming techniques.
  • Debugged File Download Link Function: Identified and proposed fixes for errors in the file_download_link function related to incorrect file handling.

Achievements

  • Successfully resolved multiple Python errors and improved the robustness of the RunManager pipeline.
  • Enhanced the management of Streamlit input states, preserving user input across sessions.
  • Improved error handling and defensive programming practices in Python scripts.

Pending Tasks

  • Further testing of the RunManager pipeline to ensure all metadata issues are resolved.
  • Continuous monitoring of Streamlit applications to refine input management strategies.