Enhanced logging and troubleshooting in Python scripts

📅 2023-08-17 — Session: Enhanced logging and troubleshooting in Python scripts

🕒 04:05–05:10
🏷️ Labels: Python, Logging, Troubleshooting, Code Generalization, Data Processing
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to enhance and troubleshoot Python scripts focusing on logging, file handling, and code generalization.

Key Activities

• Enhanced Logging: Modified Python scripts to include detailed logging with timestamps and progress messages to improve traceability and performance monitoring.
• Troubleshooting File Save Issues: Diagnosed file saving issues by checking file paths, disk space, filesystem errors, and script logic.
• Filesystem Integrity Checks: Addressed file visibility and filesystem integrity issues on an external drive using Linux commands.
• Code Generalization Best Practices: Implemented best practices for code generalization, including using relative paths, user-defined paths, and configuration files.
• Data Processing Logging: Developed a Python script to log progress and elapsed time for data processing steps.
• Command Line Search in Notebooks: Used command-line tools to search Jupyter notebooks for specific code references.
• DataFrame Merge Verification: Added a verification step to ensure the correctness of DataFrame merges by logging row counts before and after merges.
• Verbose Logging in Functions: Enhanced logging functions by adding a verbose argument to control log message output.

Achievements

• Successfully enhanced logging in Python scripts for better performance monitoring and traceability.
• Diagnosed and addressed file saving and filesystem integrity issues.
• Implemented best practices for code generalization and data processing logging.

Pending Tasks

• Further testing of enhanced logging features in different environments.
• Additional verification of file integrity on external drives.