Automated Downloads Cleanup and Data Analysis

• Day: 2025-10-15
• Time: 18:30 to 19:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Automation, Data Analysis, Bash Scripting, Python, File Management

Description

Session Goal

The session aimed to automate the cleanup of the Downloads folder and perform data analysis on CSV files using Python and Bash scripting.

Key Activities

• Developed a Bash script for auditing and cleaning the Downloads folder, organizing files, and removing clutter.
• Utilized Python’s Pandas library to load and analyze CSV files, generating statistics and insights on file types, extensions, and directory structures.
• Implemented a systemd service for weekly file triaging, automating the organization of files.
• Addressed execution issues with shell scripts on Ubuntu by correcting the shebang and permissions.
• Created a Python function for directory scanning with depth control and a Git project scanner for repository management.

Achievements

• Successfully automated the Downloads folder cleanup with a comprehensive Bash script, including a preview phase for safe execution.
• Analyzed CSV datasets using Pandas, providing detailed metadata and statistical insights.
• Enhanced Git repository scanning scripts to handle edge cases and improve operational efficiency.

Pending Tasks

• Further enhancement of the directory scanning function to optimize performance and handle larger datasets.
• Review and refine the automation scripts for broader application across different directories.

Evidence

• source_file=2025-10-15.sessions.jsonl, line_number=0, event_count=0, session_id=45d9a72b2b34cd604ee9c98df64a4af6795bcce309fda2b7da5ebf79e10b10b9
• event_ids: []