junk-remover-cli 0.1.2

Universal cleanup executor - Automated deletion of unwanted files and directories

Junk - Universal Cleanup Executor

A zero-friction Python CLI tool for automated cleanup of unwanted files and directories.

Problem Statement

Development repositories often accumulate unwanted files and directories:

• /target/ build directories
• *.log files
• __pycache__/ Python cache directories
• /temp/ temporary directories
• Build artifacts and cache files

Manual deletion of these files is time-consuming and error-prone. Organizations need an automated solution that works universally across different project types and environments.

Solution Overview

Junk is a PyPI-distributed command-line tool that provides automated cleanup with zero user intervention required.

Execute with a single command:

junk

The tool operates by:

1. Locating a junk.fat configuration file in the current directory
2. Reading the specified list of files and directories for removal
3. Executing deletions as specified
4. Self-removing the configuration file upon successful completion

Installation

Install from the Python Package Index:

pip install junk-remover-cli

The tool is immediately available system-wide:

junk

Usage Instructions

Step 1: Create Configuration File

Create a junk.fat file in your project root directory. List files and directories to be removed, one per line:

/target/
/Server/plotter/output/main.png
/Server/temp/arch.json
__pycache__/
*.log
node_modules/
.DS_Store

Step 2: Execute Cleanup

Run the cleanup command:

junk

Step 3: Verification

All specified items are removed, and the junk.fat configuration file is automatically deleted upon successful completion.

Key Features

• Zero User Interaction: No confirmation prompts or manual intervention required
• Universal Compatibility: Functions in any directory containing a junk.fat configuration file
• Self-Managing: Automatically removes configuration file after successful execution
• Error Handling: Preserves configuration file when deletions fail for retry capability
• Cross-Platform: Compatible with Windows, macOS, and Linux environments
• Encoding Support: Handles multiple file encodings automatically

Operational Behavior

Success Case

When all specified items are successfully deleted, the junk.fat configuration file is automatically removed.

Partial Failure Case

When some items cannot be deleted, the junk.fat configuration file is preserved to allow for retry operations.

Missing Configuration Case

When no junk.fat file is present, the tool exits gracefully with an informative status message.

Integration with Development Workflows

This tool is designed for integration with automated development workflows:

• Configuration Generation: AI code assistants or scripts generate project-specific junk.fat files
• Execution: The junk tool executes cleanup operations without human intervention
• Universal Application: Consistent workflow across different programming languages and project types

Configuration Examples

Web Development Projects

node_modules/
dist/
.cache/
*.log
.DS_Store

Python Projects

__pycache__/
*.pyc
.pytest_cache/
build/
*.egg-info/

Java Projects

target/
*.class
*.jar
*.war

Safety and Security

• Operations are limited to explicitly listed items in the configuration file
• No wildcard expansion or pattern matching beyond exact path specification
• Non-existent files and directories are gracefully ignored
• Comprehensive logging provides clear feedback on all operations performed

License

This project is distributed under the MIT License. See the LICENSE file for complete terms and conditions.

Contributing

Contributions are welcome through standard open-source channels. This tool maintains a focused scope centered on the core principle of zero-friction cleanup execution. Please ensure any proposed changes align with this fundamental design philosophy.

Support

For issues, feature requests, or technical support, please utilize the project's issue tracking system on the source code repository.

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Junk CLI: Making cleanup operations universal, automated, and reliable.