🧹 CLEANBOOK – Mac Dev Junk Cleaner

A surgical Python utility for Mac users that cleans up development artifacts from your $HOME directory. Disk space is sacred. Purge the hoard.

🚀 Features

• Intelligent Scanning: Discovers development artifacts across your filesystem
• Safe Deletion: Multiple safety modes with whitelist protection
• Scheduling: Automated cleanup with system integration (launchd)
• Comprehensive Logging: Forensic audit trail of all operations
• Parallel Processing: Multi-threaded scanning for performance
• Pattern-Based: Configurable patterns for different development environments

📦 Installation

1. Clone the repository:

git clone https://github.com/geeknik/cleanbook
cd cleanbook

2. Create a virtual environment:

python3.10 -m venv venv
source venv/bin/activate

3. Install dependencies:

pip install pyyaml

🎯 Quick Start

Scan for artifacts (safe, no changes made):

python cleanbook.py --scan --dry-run

Interactive cleanup:

python cleanbook.py --clean --interactive

Force cleanup (use with caution):

python cleanbook.py --clean --force --threshold 100MB

Setup weekly automated cleanup:

python cleanbook.py --schedule weekly

📋 Usage Examples

Basic Operations

Scan your home directory for artifacts:

python cleanbook.py --scan --target ~

Scan with size threshold:

python cleanbook.py --scan --threshold 50MB

Dry run cleanup (simulation only):

python cleanbook.py --clean --dry-run

Interactive cleanup with confirmation:

python cleanbook.py --clean --interactive

Scheduling

Check scheduling status:

python cleanbook.py --schedule-status

Setup daily automated cleanup:

python cleanbook.py --schedule daily

Setup weekly automated cleanup:

python cleanbook.py --schedule weekly

Setup monthly automated cleanup:

python cleanbook.py --schedule monthly

Remove automated scheduling:

python cleanbook.py --remove-schedule

Advanced Options

Use custom configuration:

python cleanbook.py --scan --config custom_config.yaml

Use custom patterns:

python cleanbook.py --scan --patterns custom_patterns.yaml

Verbose logging:

python cleanbook.py --scan --verbose

Target specific directory:

python cleanbook.py --scan --target /path/to/directory

⚙️ Configuration

Main Configuration (config.yaml)

The main configuration file controls behavior, safety settings, and performance:

# Core Behavioral Settings
safe_mode: true                    # Restrict deletions to explicitly matched patterns
aggressive_mode: false             # Include system caches and deeper OS artifacts
interactive_mode: false            # Prompt before each deletion
dry_run_default: true             # Default to simulation mode for safety

# Size Thresholds
size_thresholds:
  minimum_file_size: "1MB"         # Don't delete files smaller than this
  minimum_folder_size: "50MB"      # Focus on directories with significant storage impact

# Whitelist Paths (Protected)
whitelist_paths:
  - /Users/username/Documents      # User documents are sacred
  - /Users/username/Desktop        # Desktop workspace preservation
  - /Users/username/.ssh           # Security credentials must persist

# Logging Configuration
logging:
  enabled: true
  log_path: "~/cleanbook.log"
  log_level: "INFO"                # DEBUG, INFO, WARNING, ERROR

# Scheduling
scheduling:
  enabled: false                   # Disabled by default
  frequency: "weekly"              # weekly, daily, monthly
  hour: 3                          # 3 AM for minimal disruption
  minute: 30

Patterns Configuration (patterns.yaml)

Define what constitutes "development artifacts" to clean:

python:
  directories:
    - .venv
    - env
    - __pycache__
    - .pytest_cache
  files:
    - "*.pyc"
    - "*.pyo"

javascript:
  directories:
    - node_modules
    - .next
    - dist
    - build
  files:
    - "*.log"
    - npm-debug.log*

rust:
  directories:
    - target
    - .cargo/registry

go:
  directories:
    - vendor
    - .gocache

🛡️ Safety Features

Multiple Safety Modes

1. DRY RUN (--dry-run): Simulate operations without making changes
2. INTERACTIVE (--interactive): Prompt for confirmation before each deletion
3. SAFE (default): Conservative deletion with double-confirmation
4. FORCE (--force): Proceed without additional safety checks (use with caution)

Protected Paths

The application automatically protects critical system paths:

• /System, /Library, /Applications
• /usr, /bin, /sbin
• User credentials (.ssh, .gnupg)
• Keychains and security data

Whitelist Protection

Configure additional protected paths in config.yaml:

whitelist_paths:
  - /Users/username/dev/active        # Current development projects
  - /Users/username/Documents         # Important documents
  - /Users/username/.config           # User configuration

📊 Output and Logging

Console Output

The application provides clear, emoji-rich output:

🧹 CLEANBOOK starting up...
🔍 Starting scan of: /Users/username
📊 SCAN RESULTS
==================================================
Total artifacts found: 156
Total size: 2345.67 MB
Categories: 5

PYTHON.DIRECTORIES:
  Count: 23
  Size: 456.78 MB

JAVASCRIPT.DIRECTORIES:
  Count: 89
  Size: 1234.56 MB

🏆 TOP ARTIFACTS:
  /Users/username/project/node_modules (567.89 MB) [javascript.directories]
  /Users/username/.cache (234.56 MB) [general.directories]

Log Files

• Main Log: ~/cleanbook.log (configurable)
• Audit Log: ~/cleanbook.audit.json (detailed operation history)
• Scan Reports: logs/scan_report_*.json (detailed scan results)

Audit Trail

Every operation is logged with timestamps, file sizes, and categories:

{
  "session_id": "2024-01-15T10:30:00",
  "entries": [
    {
      "timestamp": "2024-01-15T10:30:15",
      "action": "discovered",
      "path": "/Users/username/project/node_modules",
      "size_mb": 567.89,
      "category": "javascript.directories"
    },
    {
      "timestamp": "2024-01-15T10:31:00",
      "action": "deleted",
      "path": "/Users/username/project/node_modules",
      "size_mb": 567.89,
      "dry_run": false
    }
  ]
}

🔧 Advanced Configuration

Performance Tuning

performance:
  parallel_processing: true        # Use multiple threads
  max_workers: 4                   # Number of worker threads
  memory_limit: "1GB"              # Maximum memory usage
  progress_reporting: true         # Show progress during operations

Behavioral Patterns

deletion_behavior:
  confirm_before_delete: true       # Require explicit confirmation
  skip_hidden_files: false         # Include dotfiles in analysis
  follow_symlinks: false           # Don't traverse symbolic links
  max_depth: 10                    # Limit recursion depth for safety
  batch_size: 100                  # Process files in batches

🚨 Safety Warnings

⚠️ IMPORTANT: This tool deletes files permanently. Always:

1. Start with --dry-run to see what would be deleted
2. Use --interactive mode for first-time use
3. Review the whitelist in config.yaml
4. Backup important data before running cleanup
5. Test on a small directory first

🐛 Troubleshooting

Common Issues

Permission Denied Errors:

• The application respects file permissions
• Some system directories may be protected
• Check the scan report for permission errors

No Artifacts Found:

• Increase the size threshold: --threshold 1MB
• Check if target directory is whitelisted
• Verify patterns in patterns.yaml

Scheduling Not Working:

• Check scheduling status: --schedule-status
• Verify launchd permissions
• Check system logs: launchctl list | grep cleanbook

Debug Mode

Enable verbose logging for troubleshooting:

python cleanbook.py --scan --verbose

Log Analysis

Check the main log file for detailed information:

tail -f ~/cleanbook.log

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

⚠️ Disclaimer

This tool is provided as-is. Use at your own risk. The authors are not responsible for any data loss. Always backup important data before running cleanup operations.

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🧹 Keep your development environment clean and your disk space sacred!