Automated Directory and Python Environment Management

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📅 2024-12-18 — Session: Automated Directory and Python Environment Management

🕒 22:05–22:50
🏷️ Labels: Bash, Python, Automation, Environment Management, Data Migration
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to automate directory size analysis and manage Python environment issues effectively.

Key Activities

  • Directory Analysis: Implemented a Bash script to automate the analysis of directory sizes, focusing on identifying the largest subdirectories.
  • Data Migration Planning: Outlined a plan for migrating large data directories to external media, ensuring data integrity and efficient space management.
  • Python Error Handling: Addressed ModuleNotFoundError by verifying the PYTHONPATH and import statements.
  • Environment Management: Transitioned Python scripts from the base2 to new_env environment in Anaconda to resolve execution issues.
  • Dependency Management: Resolved compatibility issues between pymongo and bson, and updated the requirements.txt for the markdown library.

Achievements

  • Successfully automated directory size analysis and planned data migration strategies.
  • Resolved Python environment and dependency issues, ensuring smooth script execution and compatibility.

Pending Tasks

  • Continue monitoring directory sizes and perform migrations as planned.
  • Further review and optimize Python scripts for import robustness and environment compatibility.

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