Debugged and Enhanced Python Pipeline Management

📅 2025-07-10 — Session: Debugged and Enhanced Python Pipeline Management

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

Session Goal

The session aimed to debug and enhance various aspects of Python pipeline management, focusing on error handling, metadata persistence, and alignment of modular scripts with monolithic logic.

Key Activities

• Addressed an IsADirectoryError by providing solutions for handling file downloads correctly.
• Managed Streamlit button reruns by utilizing session state to preserve input values.
• Debugged metadata persistence issues in RunManager, identifying causes and suggesting fixes.
• Resolved a FileNotFoundError by ensuring directory existence before saving metadata.
• Analyzed critical path mismatches and timestamp issues in RunManager, providing detailed diagnostics and fixes.
• Compared query handling between old and new system versions, highlighting reasons for failures and suggesting improvements.
• Aligned modular pipeline steps with monolithic script logic, focusing on I/O handling and metadata propagation.
• Fixed file download logic errors by modifying code to prevent directory-related issues.

Achievements

• Successfully debugged and provided solutions for various error handling and pipeline management issues.
• Enhanced the robustness of the pipeline by ensuring proper metadata handling and file management practices.

Pending Tasks

• Further testing of the implemented fixes to ensure stability and performance improvements in the pipeline.
• Continued monitoring of metadata handling to prevent future discrepancies.