Automated Directory and Python Environment Management

• Day: 2024-12-18
• Time: 22:05 to 22:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Bash, Python, Automation, Environment Management, Data Migration

Description

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.

Evidence

• source_file=2024-12-18.sessions.jsonl, line_number=3, event_count=0, session_id=378a07c0ff5d62035f62ea158978f9025f5f6e20294ec95b9975ab9ea204cb87
• event_ids: []